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2016年7月29日星期五

Global Humidity Sensor Industry 2016 Market Trends, Sales, Supply, Demand, Analysis & Forecast to 2021

The Global Humidity Sensor Industry report gives a comprehensive account of the Global Humidity Sensor market. Details such as the size, key players, segmentation, SWOT analysis, most influential trends, and business environment of the market are mentioned in this report. Furthermore, this report features tables and figures that render a clear perspective of the Humidity Sensor market. The report features an up-to-date data on key companies’ product details, revenue figures, and sales. Furthermore, the details also gives the Global Humidity Sensor market revenue and its forecasts. The business model strategies of the key firms in the Humidity Sensor market are also included. Key strengths, weaknesses, and threats shaping the leading players in the market have also been included in this research report.
The report gives a detailed overview of the key segments in the market. The fastest and slowest growing market segments are covered in this report. The key emerging opportunities of the fastest growing Global Humidity Sensor market segments are also covered in this report. Each segments and sub-segments market size, share, and forecast are available in this report. Additionally, the region-wise segmentation and the trends driving the leading geographical region and the emerging region has been presented in this report.
The study on the Global Humidity Sensor market also features a history of the tactical mergers, acquisitions, collaborations, and partnerships activity in the market. Valuable recommendations by senior analysts about investing strategically in research and development can help new entrants or established players penetrate the emerging sectors in the Humidity Sensor market. Investors will gain a clear insight on the dominant players in this industry and their future forecasts. Furthermore, readers will get a clear perspective on the high demand and the unmet needs of consumers that will enhance the growth of this market.

Table of Content

Chapter One Humidity Sensor Industry Overview
1.1 Humidity Sensor Definition
1.1.1 Humidity Sensor Definition
1.1.2 Product Specifications
1.2 Humidity Sensor Classification
1.3 Humidity Sensor Application Field
1.4 Humidity Sensor Industry Chain Structure
1.5 Humidity Sensor Industry Regional Overview
1.6 Humidity Sensor Industry Policy Analysis
1.7 Humidity Sensor Industry Related Companies Contact Information




2016年7月27日星期三

Non-invasive and continuous monitoring of the sol–gel phase using a fast microwave sensor

An open coaxial re-entrant microwave sensor has been used for the non-invasive and continuous monitoring of the sol–gel transition of physical gels characterized by different gelation mechanisms, solvents, compositions, and stabilities. Comparison of measurements by differential scanning calorimetry allowed the identification of the phase transition by a change in the dielectric properties of the material over time.
Self-assembled viscoelastic gels of organic solvents (organogels), water (hydrogels) or water–organic solvent mixtures (aqueous gels) have been recognized as promising materials for bottom-up nanofabrication tools in various fields including biomedicine, sensors, cosmetics, food, catalysis, and environmental remediation.As soft materials, gels are continuous in structure and solid-like in rheological behavior. In contrast to chemical gels, which are based on covalent bonds (usually cross-linked polymers unable to redissolve), physical (also called supramolecular) gels are made of either low-molecular-weight (LMW) compounds or polymers – so called gelators – through extensive non-covalent interactions, predominantly hydrogen-bonding, van der Waals, dipole–dipole, charge-transfer, donor–acceptor, π–π stacking and metal-coordination interactions. Furthermore, systems based on both types of connections are also known. The solid-like appearance of these gels is the result of the entrapment of the liquid (major component) in the interstices of a solid 3D matrix of large surface area (minor component), usually through surface tension and capillary forces. Remarkably, many gels can immobilize up to 105 solvent molecules per molecule of gelator and increase the viscosity of the medium by a factor of 1010.
In the case of LMW gelators, the formation of the viscoelastic matrix is a consequence of the entanglement of 1D supramolecular fibers (typically of micrometer scale lengths and nanometer scale diameters), which is usually induced by cooling their hot isotropic solutions to room temperature (RT). However, it should be noted that gelation of liquids at RT or induced by ultrasound treatment instead of heating–cooling has also been described. Due to the weakness of the non-covalent interactions that maintain the dynamic supramolecular structure, physical gels are usually thermoreversible. Moreover, the sol–gel (and/or gel–sol) phase transition could also be triggered by other stimuli such as pH, light irradiation or ionic strength if the gelator molecule possesses appropriate structural moieties for recognition. It is also important to recognize that the metastable nature of physical gels derives from an elusive equilibrium between dissolution and crystallization, which has stimulated numerous studies and applications in the field of crystal engineering during the last few years.
Due to the brittleness of these materials, it is usually easier to monitor the gel–sol transition rather than the sol–gel for the construction of phase diagrams according to both the gel–sol transition temperature (TGS) and the sol–gel transition temperature (TSG). Among different techniques, rheology, NMR spectroscopy and conventional differential scanning calorimetry (DSC) are the most common and accurate methods used so far for this kind of study, albeit they normally suffer from the disadvantages of being relatively time consuming and requiring the use of very expensive equipments and trained personnel. Techniques of higher specificity such as ESR, NIR and fluorescence spectroscopy have also been used to characterize the sol–gel transitions of colloids.17 On the other hand, dielectric measurements have also been used to determine sol–gel transitions, usually below a few kHz. At these frequencies the dielectric properties are normally related to the conductive nature of the material and this quantity becomes (less) sensitive to chemical changes that occur at gelation.Dielectric measurements at microwave frequencies, however, are very sensitive to the mobility of molecules in the gel (especially when some water dipoles are involved). Therefore, the use of the mobility of the molecular structure through dielectric properties provides a direct (and in situ) measurement of the chemical and physical state of the matter.Changes in dielectric parameters can be related to critical points in different material processes, such as cure reaction onset, gelation, end-of-cure, build-up of the glass-transition temperature, etc.For example, a microwave system designed for adhesive cure monitoring has been previously described by some of us where in situ dielectric measurements correlate very well with conventional measurement techniques such as DSC, combining accuracy and rate with simplicity and an affordable cost.
This communication presents a microwave non-destructive system for monitoring the sol–gel transition process of supramolecular gels (Fig. 1A). A microwave sensor adapted to a standard pyrex vial containing the precursor isotropic solution allows in situ measurements of dielectric properties in order to distinguish the changes over time and temperature.
Fig. 1B shows a picture of the portable microwave device used to conduct the dielectric measurements. The system comprises a microwave sensor, a microwave transmitter and receiver (from 1.5 to 2.5 GHz) and a control unit to provide real-time information about the gelation progress without interfering with the reaction. The precursor isotropic solution is introduced in a pyrex vial and placed inside an open coaxial re-entrant (microwave) cavity sensor. When the low-intensity electromagnetic waves penetrate into the material, its molecules tend to orient with the (applied) external field and the material gains certain polarization, reflecting the back part of the microwave signal from the sensor. This reflected signal is measured continuously to determine the resonance frequency and quality factor of the sensor during gelation to monitor the transition process. Fig. 1C and D show a typical response of the reflected signal in the microwave cavity sensor in the imaginary plane (Smith chart) or in magnitude representation of a gelation experiment at a given temperature. We have reported elsewhere the fundamental details of the microwave system with a different sensor head.
Fig. 2 shows the library of known gelators that we prepared (ESI) to test the ability of the microwave sensor to monitor the sol–gel transition of physical gels. The library included single LMW gelators (1–8) as well as bicomponent (9) and multicomponent gelator systems (10). A number of gels with different solvents and compositions could be easily obtained from this library at well-defined concentrations. Moreover, N,N′-dibenzoyl-L-cystine (6) was included in this study for the preparation of aqueous gels. Azobenzene-containing peptide 8 was selected because its phase transition can be triggered either thermally or photochemically. Besides the classical heating–cooling treatment needed for the formation of thermoreversible physical gels made from solid compounds 1–8, gelator systems 9 and 10 enable sol–gel phase transitions at RT and well below RT, respectively. In the case of 9, DMF stock solutions of oxalic acid dihydrate and copper(II) acetate monohydrate were mixed at RT to form the corresponding organogel. Multicomponent solution 10 constitutes a special system used to form organogels at low temperatures upon addition of a small amount of this solution to a suitable organic solvent (ESI). In contrast to the gels obtained from 1–8, those derived from 9–10 are not thermoreversible despite the non-covalent interactions involved in the gelation process. Moreover, gels made from 10 eventually undergo subsequent transition to a thermodynamically most stable crystallization phase This collection of gelators offered a versatile scenario for the proof-of-concept of the detection of the sol–gel transition in physical gels by continuously monitoring the dielectric properties of the materials.
The isotropic solutions of the gelators were prepared as previously reported (ESI). Preliminary experiments with solutions prepared at different concentrations of a LMW gelator showed a response of the microwave sensor to viscosity changes of the medium (ESI). On the basis of this observation, the dielectric properties of the sol–gel transition were continuously monitored at microwave frequencies and the obtained profile was correlated with the actual temperature of the material (ESI). Moreover, DSC thermograms were recorded separately for model systems in order to draw meaningful comparisons between the change in the dielectric properties of the material and the exothermic effect associated with the sol–gel transition. The temperature profiles during the sol–gel period were constructed independently by means of a thermocouple probe (∅ 0.1 mm) centrally placed inside the mixture. We confirmed that the use of this probe did not affect the gelation kinetics. After each measurement, the state of the material was examined by the “stable-to-inversion” test, and the gel condition of model samples that did not show gravitational flow upon turning the vial upside-down was also confirmed by oscillatory rheological measurements (ESI).
The results indicated a good correlation between the different techniques to recognize the sol–gel transition under different conditions (e.g., solvent nature, concentration, and gelator structure). Finally, preliminary experiments have shown that the microwave sensor could also be used to detect the melting (gel–sol) transitions as we could record the variation of the dielectric properties of the material at single points (upon heating separately) and correlate marked changes with the TGS determined by DSC or the inverse flow method (ESI).

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2016年7月26日星期二

Global Industry Analysis on Humidity Sensor Market, 2015 – 2021

Humidity sensors are sensors that convert the moisture content in air, gases, bulk materials or soil into an electric output signal. It is a humidity sensor device which is also known as hygrometer measures and regularly updates the relative humidity in air. It measures both air temperature and air moisture. Humidity sensor is composed of two metal plates with a non-conductive polymer film between them. The film collects moisture from the air which causes minute changes in the voltage between the two plates. Humidity sensors are generally used in textile machines, woodworking machines, printing and paper machines for measuring humidity in air.
Some of the major advantages of humidity sensors over conventional sensors low power requirement, easy implementation and betterment of transducer performance such as sensing elements, structure design, principle of mechanism, and fabrication technologies. Major disadvantages of humidity sensor market are high cost, frequent mirror contamination and insatiability under continuous use.
Miniaturization of electronic device is one of the major trend in the global humidity sensor market. Technology advancement and increasing demand in devices with high end feature are driving the market for humidity sensor. On the other hand continuous reduction in prices of sensors due to the introduction of more competitive technologies and higher associated costs are restraining the market growth. The humidity sensor market is segmented on the basis of unit of measurement, by product type, by application and by geography. On the basis of type the market is segmented into Relative humidity sensor and Absolute humidity sensor. Further, relative humidity sensor is further sub-segmented into ceramic, semiconductor and organic polymer processing and absolute humidity sensor are sub-segmented into solid moisture and mirror based sensor. On the basis of type humidity sensor is segmented into Thermoset sensor, thermoplastic sensor, bulk thermoplastic sensor, lithium chloride sensor and thermoset polymer capacitor sensor. Further on the basis of application the market is segmented into food industry, mining industry, cement industry and pharmaceutical industry. On the basis of geography the market is segmented into North America, Latin America, Western Europe, Eastern Europe, Asia-Pacific, Japan and Middle East & Africa

Key geographies evaluated in this report are:
• North America
o U.S
o Canada
• Europe
o France, Germany, Italy, Spain, and the UK
o Eastern Europe
o CIS
• APAC
o China
o India
o Japan
o Australia
o Others
• Latin America
o Argentina
o Brazil
o Others
Key features of this report
• Drivers, restraints, and challenges shaping the Humidity Sensor market dynamics
• Latest innovations and key events in the industry
• Analysis of business strategies of the top players
• Humidity Sensor market estimates and forecasts(2015 -2021)

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Mac-based weather station adds barometer sensor

Onset Computer, makers of the Mac-based HOBO U30 Remote Monitoring System and HOBO Station products, on Monday announced a new Barometric Pressure Smart Sensor for use with those systems. It costs $249.
The device sports a weatherproof housing and can be mounted outside of the weather station enclosure. It doesn’t require any complicated wiring or programming to work — it’s automatically recognized by a HOBO U30 system. It can register barometric pressure readings from 660 mb to 1,070 mb.
The HOBO U30 enables Mac users to measure temperature, air pressure, carbon dioxide levels and other environmental factors using a variety of plug-and-lay sensors. The barometer sensor data can be transmitted wirelessly over Wi-Fi or over a GSM cell phone network.
Zip ties are included for mounting the barometric sensor on a mast. It can also be mounted on a flat surface with screws (holes are already pre-drilled).

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2016年7月25日星期一

Humidity Sensor Market 2016: Global Industry Insights, Statistics, Demand and forecasts to 2021

The 'Global and Chinese Humidity Sensor Industry, 2011-2021 Market Research Report' is the detailed comprehensive analysis of the current state of the global Humidity Sensor industry with a focus on the Chinese market. The report provides deep knowledge of historical information, forecasts, company profiles, technologies, market drivers, market trends and related parameters within the Humidity Sensor Industry. The report includes accurate and sharp information on global and Chinese market which would help to take better decisions and make positive paces for your association to possible micro levels. The report covers various sectors semiconductors, energy, pharmaceuticals, chemical, technology, food and beverages etc.

In the starting of the report provides overview of the industry including definition, products, applications, technology, its end users etc. Then, the report represents major payers of the Chinese market in at the intentional level. In this part, the report includes company profile, product stipulation, installed capacity, latest trend, competitor’s strategies, shifting product dynamics form the point of view of consumers and 2011-2016 market shares for each company. The reports represent statically data, generated revenue, production capacity, supply and demand, profit and loss, import and export and many more. The further market is segmented on basis of types, products, technology, end user, application, and geography whichever applicable for the competitive landscape analysis.

The report estimates 2016-2021 market resent trends for Humidity Sensor industry. Our aim provides deep and accurate analysis about the different topics related to Humidity Sensor industry. The report consists of detailed analysis of upstream and downstream demand, market dynamics, quantitative forecasting and forward-looking insight of the market.In the end, the report use stratified research methodology for a new project of Humidity Sensor Industry. The reports strive to serve the overall research requirement of clients for 2011-2021 global and Chinese Humidity Sensor industry. It is covering all important parameters to sustain in a competitive edge.


Non-Dispersive Infrared (NDIR) Gas Sensor Utilizing Light-Emitting-Diodes

Gas sensors that are low-power, light-weight, and rugged, while also remaining low-cost, have considerable appeal to areas from automotive to space flight. There are increasing demands for higher efficient vehicles with lower emissions in order meet regulations that are meant to mitigate or lessen the effects of climate change. An affordable, fast response sensor that can measure transient carbon monoxide (CO) and carbon dioxide (CO2) has broad application which can lead to more efficient, fuel flexible engines and regulations of harmful emissions.

With compact, economical, low-power sensors that are able to continually monitor gases that are characteristic of burning materials, a distributed sensor array could be implemented on space vehicles that would allow early detection of fires, gas leaks, or other critical events. With careful selection of targeted gases, it may be possible to identify the material that is burning or smoldering, better informing the crew so that they may respond and prioritize high emergency events.

Further applications may include fuel/ hazardous gas leak detection on space vehicles and atmospheric constituent sensor for portable life support systems (PLSS) used by astronauts in extra vehicular activity (EVA). Non-dispersive infrared NDIR gas sensors are attractive due to their simplicity and low-cost; and by using light-emitting-diodes (LEDs) in this approach, power efficient, lightweight, and stable gas sensors can be developed to meet these needs.

This thesis discusses a sensor that was developed for simultaneous, time resolved measurements of carbon monoxide (CO) and carbon dioxide (CO2). This sensor utilizes low-cost and compact light emitting diodes (LEDs) that emit in the 3-5μm wavelength range. Light emission of LEDs is spectrally broader and more spatially divergent compared to that of lasers, which presented many design challenges. Optical design studies addressed some of the non-ideal characteristics of the LED emissions.

Measurements of CO and CO2 were conducted using their fundamental absorption bands centered at 4.7μm and 4.3μm, respectively, while a 3.6μm reference LED was used to account for scattering losses (e.g., due to soot, window deposits, etc.) common to the three measurement LEDs. Instrument validation and calibration was performed using a laboratory flow cell and bottled-gas mixtures. The sensor was able to detect CO2 and CO concentration changes as small as 30 ppm and 400 ppm, respectively. Because of the many control and monitor species with infra-red absorption features, which can be measured using the strategy described, this work demonstrates proof of concept for a wider range of fast (250Hz) and low cost sensors for gas measurement and process monitoring.

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2016年7月22日星期五

Sensors in Smartphones: Galaxy S4 Adds Pressure, Temperature, and Humidity Sensors

Samsung recently launched their latest salvo in the smartphone wars, the Galaxy S4. Most tech writers couldn't decide whether they’d rather be bored by the phone or pan its ridiculous Broadway-style launch (see below, circa 17:20)—a little from column A, a little from column B, perhaps? We don’t write about every smartphone release, but this one caught our eye. The S4 includes a barometer, thermometer, and hygrometer (to measure humidity)—the first major smartphone to do so.
If you could care less about 13 megapixels on a smartphone camera but love to dream about the big data potential of smartphone sensors, these three are pretty cool additions. Temperature, pressure, and humidity are key weather station measurements.
Currently, smartphone or tablet users can buy external weather stations compatible with their devices. There’s even a selection of apps to record and analyze the data. But the only folks buying external weather stations are a few steps away from driving down Tornado Alley measuring wind speed and diameter of hail.
Bundle those humidity sensors into the top selling smartphone in the world, however, and it’s a different ballgame. Pair these sensors with a few compelling apps, and instead of tens of thousands of weather stations, researchers could hypothetically have millions inside a year. (Samsung shipped 215 million smartphones in 2012!)
Why couldn’t these sensors do for weather what Google Maps does for traffic?
As readers likely know, Google strips smartphone GPS data of personal information, assembles it, and sends it back to users as real-time traffic estimates. The results are increasingly accurate traffic forecasts and route time estimates—a serious improvent on chopper reports from the local radio station.
Using millions of smartphone data points, developers could knock out apps rendering detailed heat, humidity, and pressure maps and bundle them into weather apps. The data would be available at any given point in time, but maybe more powerfully, it would be available over time.
We’re talking billions of data points blanketing the globe each year. Climate studies might draw on smartphone data to inform their studies and reports. Why not?
The problem is, no one knows how accurate these new sensors are. The Galaxy S4 isn’t due out until May at the earliest. Further, unlike traffic-measuring GPS, for weather sensors to be useful, people will likely have to use them with the intent to measure. Mostly, smartphones are in climate-controlled rooms or pockets. Frankly, I’d rather not know the temperature, pressure, and humidity of my neighbor’s pants.
It seems almost inevitable, however, that more scientific sensors will become common in smartphones. As a side effect of the “specs” arms race, they could improve in quality dramatically. Not all these sensors will be used properly by every smartphone owner, but that’s the beauty of it. Manufacturers shipped 712 million new devices in 2012 alone. Even if weather bugs account for but 1% of that total, you've got seven million new mobile weather stations.

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2016年7月20日星期三

Microwave sensor detects changes in heart rate

Current medical techniques for monitoring heart rate and other vital signs use electrodes attached to the body, but these are impractical to use on patients that move around.
Plasma physicist Atsushi Mase, a scientist at Kyushu University in Japan, and colleague Daisuke Nagae have developed a new monitoring technique that uses microwaves to resolve the problem.
The system uses very weak microwaves to irradiate – and scatter off – the human body. A microwave sensor then monitors the reflected waves, which change in phase in response to motions of the body, including the regular displacement of the chest during breathing or, the slight movement of the chest caused by the beating heart.
’The skin surface moves slightly, synchronising to respiration and heartbeat,’ said Mase.
Using signal processing algorithms and techniques to filter out the effects of random body motions, Mase and Nagae were able to detect changes in heart rate in near real time.
’We plan to apply the system to various conditions, including for clinical use – such as for the overnight monitoring of vital human signs – and as a daily health monitor, including detecting signs of sleepiness in drivers and preventing stress-related illnesses,’ added Mase.


2016年7月19日星期二

Self-commissioning NDIR gas sensors

Two detectors of the same kind, each having an identical neutral band-pass filter to the target gas, are installed next to Signal channel and Reference channel detectors as pairs in an AB designed NDIR gas sensor layout, which are called Standard Signal channel detector and Standard Reference channel detector. “Standard” GAMMA is the ratio of Standard signal channel detector output over that of Standard Reference channel detector. “Standard” GAMMA is independent of the measurement Physics of NDIR gas sensors, is dependent only upon the performance characteristics of the sensor component and is also independent of the presence of any amount of target gas in the sample chamber. Consequently, “Standard” GAMMA can be used to proportionally correct and update GAMMA of the sensor as its components age over time thereby rendering such an AB designed NDIR gas sensor self-commissioning or staying accurate over time after initial calibration.
Description
CROSS REFERENCE TO RELATED APPLICATIONS
This application is a continuation-in-part application of U.S. patent application Ser. No. 13/149,738, the disclosure of which is specifically incorporated herein by reference.
FIELD OF THE INVENTION
The present invention is in the field of measuring instruments, and specifically relates to a configuration design and method for an NDIR gas sensor.
BACKGROUND OF THE INVENTION
Output instability or drift over time leading to measurement inaccuracies has long been a major deficiency for gas sensors irrespective of what technology or methodology is used for their conception or realization. Output software correction may alleviate the problem somewhat but it is in many instances inaccurate and not even always applicable. It has long been the objective of many researchers in this field to overcome this problem fundamentally and for good.
Recently the present author in U.S. Pat. No. 8,143,581, the disclosure of which is specifically incorporated by reference herein, advanced the teaching of an Absorption Biased NDIR Gas Sensing Methodology which is capable of eliminating substantially all the NDIR gas sensor output drifts over time without the need for re-calibration. As it turns out, the solution to solving this output drift problems for gas sensors actually lies deeper than the availability of superior NDIR gas sensor types even though they can indeed be designed to be capable of maintaining measurement accuracy over time. The fact of the matter is that people have experienced gas sensor output instability for such a long time in the past that when output stable sensors really come along nobody believes it. Until such time that stable gas sensors become widely available and users begin to consider their performance as trustworthy and truly believable, the real need today must be viewed from a completely different perspective, which is to be able to come up with a fast, inexpensive and simple methodology that can easily check the accuracy of gas sensors and inexpensively re-calibrate them when they are found to be inaccurate.
In U.S. application Ser. No. 13/149,738, filed May 31, 2011, of which this application is a continuation-in-part application, the present author advanced the teaching of a novel Re-calibration Methodology for simply and easily re-calibrating Absorption Biased (AB) designed NDIR gas sensors without the need of standard gases. With the recent advent of the Absorption Biased (AB) gas sensing methodology for realizing NDIR gas sensors whose outputs are significantly drift-free over time and also the advent of a complementing methodology that can check and re-calibrate AB designed NDIR gas sensors simply and easily without the need of standard gases, one would think that the gas sensor industry at large, particularly the HVAC industry, would be relatively satisfied and happily go forward in growing its business. But, unfortunately, this is not the case at all. While the HVAC industry is still trying to deal with their old and on-going problem of sensor inaccuracies over time, already the industry is pushing forward in finding new and better solutions for optimizing energy expenditure and achieving superior comfort level for occupants in buildings. One rather obvious approach widely being investigated and considered everywhere today is the grouping of all sensors in a building together into a computer network. These sensors can actually interact and work with one another in an efficient manner with self-commissioning, self-tuning, self-diagnostic and correction, and even self-configuring features. By so doing the energy requirement for buildings can be reduced to an absolute minimum while the comfort level and safety for occupants in the buildings can also be greatly increased.
No doubt from the standpoint of computer networking hardware and smart software availability today, this approach is clearly workable. However, when all the sensors are to be left alone by themselves to interact with one another over time in buildings, the obvious question to ask is whether these sensors are indeed ready to take on this self-policing task of always staying accurate. In other words, who is there to check whether the outputs of some of these sensors are actually staying accurate over time and if not, what are the consequences for the maintenance status of the buildings and the comfort level and safety of their occupants? Thus, while computer hardware and system networking software may be ready for this futuristic approach to building controls, it is very clear that not all the sensors needed to perform perfectly in this approach are here today to meet the challenge. In particular, gas sensors such as CO2 and dew point might be relatively accurate over time but for how long before they become inaccurate? But would there be anybody or any mechanism scheduled in the networking controls system to perform the checking or re-calibrating tasks for them? To put it bluntly, until such time that all the required sensors in the networking controls system can be self-commissioning or in other words can render themselves capable of automatically staying accurate all the time, the futuristic building controls approach with the use of computer networking and relevant software to connect all the sensors in the system together working interactively simply will not work.
It is the object of the present invention to advance a configuration design and methodology for AB designed NDIR gas sensors such that they can become self-commissioning or in other words capable of automatically maintaining their measurement accuracy indefinitely over time after initial calibration. This invention is achieved via extending the previously disclosed Absorption Biased methodology of U.S. Pat. No. 8,143,581 and Re-calibration methodology without the need of standard gases (U.S. Ser. No. 13/149,738, Wong) for NDIR gas sensors.
SUMMARY OF THE INVENTION
The present invention is generally directed to a self-calibrating NDIR gas sensor and its use in which an infrared source illuminates a signal channel that is longer than a reference channel while electronics are used to calculate a chosen gas concentration in a sample chamber containing the two channels. The difference in length between the two channels creates an absorption bias between outputs of a signal detector and a reference detector, each of the two detectors having an identical narrow band pass filter with the same Center Wavelength (“CWL”), Full Width Half Maximum (FWHM) and transmittance efficiency at the CWL. A second pair of detectors, called standard detectors, are placed in the two channels, and both of these standard detectors have an identical standard narrow band pass filter with the same Center Wavelength (“CWL”), Full Width Half Maximum (FWHM) and transmittance efficiency at the CWL and the CWL of the standard narrow band pass filter is a neutral wavelength. The electronics of the sensor is calibrated by use of a calibration curve generated by using a normalized ratio of the signal channel output to the reference channel output that starts at unity when there is zero concentration of the chosen gas. The calibration curve is self-calibrated by using a stored standard gamma ratio obtained at a first period of time and a measured standard gamma ratio obtained at a second period of time after the first period of time, the standard gamma ratio being the ratio of a standard signal output from a standard signal detector to a standard reference output from a standard reference detector.
Such an NDIR gas sensor can be made to detect a second gas by including a second signal detector and a second reference detector that function similarly to the signal and reference detector, except that they are designed to detect a different gas. This additional pair of detectors will each have an identical second chosen gas narrow band pass filter with the same Center Wavelength (“CWL”), Full Width Half Maximum (FWHM) and transmittance efficiency at the CWL and will have its own calibration curve generated by using a second chosen gas normalized ratio of the second chosen gas signal output to the second chosen gas reference output that starts at unity when there is zero concentration of the second chosen gas. As was the case with a single gas detection sensor, the second gas calibration curve is self-calibrated by using the stored standard gamma ratio and the measured standard gamma ratio.
The NDIR gas sensor can also be recalibrated by comparing the sample concentration of a gas it is detecting to a second gas measurement of such gas determined by a secondary gas standard and then adjusting the normalized ratio of the signal output to the reference output for the gas based upon a reversed calibration curve algorithm that is a non-linear equation if a difference between the sample concentration of the gas and the second gas measurement exceeds a preselected threshold.
Accordingly, it is a primary object of the present invention to provide an NDIR gas sensor that self-calibrates itself.
This and further objects and advantages of the present invention will be apparent to those skilled in the art in connection with the drawings and the detailed description of the invention set forth below.




NEW Heated Humidity Sensor For Weather Measurements

Austrian sensor specialist E+E Elektronik will be introducing its new HMC03M heated humidity sensor at Meteorological Technology World Expo 2016.
The HMCO3M combines a silicon substrate, a capacitive humidity sensor and a heating resistor.
The heater is used for fast recovery after condensation or icing and is positioned all around the humidity sensor. This leads to uniform temperature throughout the structure and to best measuring performance in high-end weather observation.
The HMC03M has extremely short response times, even at very low temperature in the upper atmosphere, and outstanding linearity over the entire working range of 0 to 100 %RH and -80 to 120 °C (-112 to 248 °F).
The HMC03M is ideal for radiosondes and weather balloons.
E+E will also present its EE33-M transmitter, designed for reliable and long-term stable humidity and temperature measurement in high-end meteorology applications such as early detection of icy conditions.
It can calculate values such as dew point, frost point and wet bulb temperature, absolute humidity and enthalpy.
Thanks to the heated, monolithic humidity and temperature sensor and additional probe heating, the EE33-M is highly accurate (even close to 100 %RH) and recovers extremely fast after condensation, while the E+E proprietary coating protects the sensor against corrosive and electrically conductive pollution.
Visit E+E at the Meteorological Technology World Expo 2016 booth: 6020
Meteorological Technology World Expo 2016 is being held in Madrid Spain at Feria de Madrid, an event for any company or organisation looking for more accurate and next-generation weather forecasting and climate-change measurement technologies and services. Now in its sixth year, this global exhibition attracts over 165 exhibiting companies and 2,500+ attendees from over 70 countries. Meteorological Technology World Expo is organised by the publishers of Meteorological Technology International magazine.


2016年7月14日星期四

Macphie of Glenbervie and Censis complete microwave sensors trial

The two organisations have successfully trialled a pilot scheme using microwave sensors designed by the university. These sensors are located in the company’s UHT production plant, which manufactures a broad range of ambient stable food products such as sweet and savoury sauces, glazes, dairy cream alternatives and desserts.
Pipes are flushed with water for cleaning between products and, to retain sterility of the plant, the current process relies on timers to judge when product has fully displaced water and can start to be packed off. This creates a significant amount of waste, which leaves scope to improve efficiency.
The research project – facilitated by Censis, the Scottish Innovation Centre for Sensor and Imaging Systems – developed a new, patented microwave sensor that can detect, to within a second, the presence of a pure product in the process, displacing all water.
The patented system will now be deployed full-scale in the Macphie production process line, which Ashley Baker, head of research and development at Macphie of Glenbervie, said would deliver three major benefits:
  • more efficient new product development
  • improved efficiency of production
  • reduced environmental impact.
  • “Our success in a market dominated by a number of very large players is because of our ability to offer new, more convenient and high quality products,” said Baker. “That requires innovation through R&D, which is at the heart of everything we do.
“This project is a significant step for us and allows us to be more flexible and responsive to the changing demands of the market and our customers. It will help us produce more efficiently, lessen our impact on the environment through reduced waste, and increase our production yields. It will also make it easier for us to switch production from product to product and make developing new products a much more efficient process.”


2016年7月13日星期三

Low-humidity sensor based on a quartz-crystal microbalance coated with polypyrrole/Ag/TiO2 nanoparticles composite thin films

Novel low-humidity sensors were fabricated by the in situ photopolymerization of polypyrrole/Ag/TiO2 nanoparticles (PPy/Ag/TiO2 NPs) composite thin films on a quartz-crystal microbalance (QCM). The characterizations of the thin films were analyzed by scanning electron microscopy(SEM) and atomic force microscopy (AFM).

The sensitivity increased with the doping amount of TiO2 NPs. The PPy/Ag/50 wt% of TiO2 NPs composite thin films exhibited excellent sensitivity (0.0246 −[1]Hz/[1]ppmv at 171.1 ppmv), linearity (R2 = 0.9576) and a short response time(12 s at 55.0 ppmv). The low-humidity sensing mechanism was elucidated in terms of surface texture and the nanostructural morphology of the composite materials.

Additionally, based on the dynamic analysis of adsorption, the association constants of water vapor molecules with PPy/Ag and PPy/Ag/50 wt% TiO2 NPs composite thin films were estimated to be 81.6 and 227.9M−1, respectively, explaining the effect of adding 50 wt% TiO2 NPs to PPy/Ag; the sensitivity to low humidity increased as the association constant increased.


2016年7月12日星期二

Using Multiple Barometer Sensors to Detect the Floor Location of Smart Phones

Following the popularity of smart phones and the development of mobile Internet, the demands for accurate indoor positioning have grown rapidly in recent years. Previous indoor positioning methods focused on plane locations on a floor and did not provide accurate floor positioning.

In this paper, we propose a method that uses multiple barometers as references for the floor positioning of smart phones with built-in barometer sensors. Some related studies used barometric formula to investigate the altitude of mobile devices and compared the altitude with the height of the floors in a building to obtain the floor number. These studies assume that the accurate height of each floor is known, which is not always the case.

They also did not consider the difference in the barometric-pressure pattern at different floors, which may lead to errors in the altitude computation. Our method does not require knowledge of the accurate heights of buildings and stories. It is robust and less sensitive to factors such as temperature and humidity and considers the difference in the barometric-pressure change trends at different floors. We performed a series of experiments to validate the effectiveness of this method. The results are encouraging.

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Design of an NDIR gas sensor with two non-symmetric Fabry-Perot absorber-structures

Every gas (e.g. CO2) absorbs IR-radiation at individual gas specific IR-wavelengths. Non-dispersive infrared NDIR gas sensors exploit this property for gas monitoring. Such sensors are used in various applications, e.g. for control of air quality in office buildings or cars. This is a big market for low cost sensors.

A NDIR sensor consists basically of three components: an IR-emitter, a chamber containing the sample gas, and an IR-detector with a filter for the observed wavelength. Commercially available systems use broadband IR-emitters (e.g.: micro-lamps) in combination with thermopile or pyroelectric detectors fabricated with a narrowband gas-specific IR-filter, e.g., an interference filter.

We devised a concept for a simple and cost-effective NDIR gas sensor based on two non-symmetric Fabry-Perot absorberstructures as IR-emitter and as IR-detector where no additional interference filter is needed. The presented sensor combines thin layer technology with optical sensing techniques. The system was first analyzed using ray tracing models based on a Monte Carlo method in order to model the response function of the system's sample chamber. For our results, the sample gas is CO2 where the major absorption is centered around 4.26μm.

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2016年7月11日星期一

Global Industry Analysis on Humidity Sensor Market, 2015 – 2021

Humidity sensors are sensors that convert the moisture content in air, gases, bulk materials or soil into an electric output signal. It is a humidity sensor device which is also known as hygrometer measures and regularly updates the relative humidity in air. It measures both air temperature and air moisture. Humidity sensor is composed of two metal plates with a non-conductive polymer film between them. The film collects moisture from the air which causes minute changes in the voltage between the two plates. Humidity sensors are generally used in textile machines, woodworking machines, printing and paper machines for measuring humidity in air.

Some of the major advantages of humidity sensors over conventional sensors low power requirement, easy implementation and betterment of transducer performance such as sensing elements, structure design, principle of mechanism, and fabrication technologies. Major disadvantages of humidity sensor market are high cost, frequent mirror contamination and insatiability under continuous use.

Miniaturization of electronic device is one of the major trend in the global humidity sensor market. Technology advancement and increasing demand in devices with high end feature are driving the market for humidity sensor. On the other hand continuous reduction in prices of sensors due to the introduction of more competitive technologies and higher associated costs are restraining the market growth. The humidity sensor market is segmented on the basis of unit of measurement, by product type, by application and by geography. On the basis of type the market is segmented into Relative humidity sensor and Absolute humidity sensor. Further, relative humidity sensor is further sub-segmented into ceramic, semiconductor and organic polymer processing and absolute humidity sensor are sub-segmented into solid moisture and mirror based sensor. On the basis of type humidity sensor is segmented into Thermoset sensor, thermoplastic sensor, bulk thermoplastic sensor, lithium chloride sensor and thermoset polymer capacitor sensor. Further on the basis of application the market is segmented into food industry, mining industry, cement industry and pharmaceutical industry. On the basis of geography the market is segmented into North America, Latin America, Western Europe, Eastern Europe, Asia-Pacific, Japan and Middle East & Africa.

Key points covered in the report
1) Report segments the market on the basis of types, application, products, technology, etc (as applicable)
2) The report covers geographic segmentation
North America
Europe
Asia
RoW
3) The report provides the market size and forecast for the different segments and geographies for the period of 2010 to 2020
4) The report provides company profiles of some of the leading companies operating in the market
5) The report also provides porters five forces analysis of the market.




2016年7月8日星期五

Visually readable and highly stable self-display photonic humidity sensor

A visually readable and highly stable self-display photonic humidity sensor has been fabricated through the fast magnetically induced self-assembly of carbon-encapsulated superparamagnetic colloidals, followed by an instant radical polymerization to fix the photonic crystal structures inside a polyacrylamide glycol gel matrix.

Because of the use of magnetic assembly and radical-polymerization, we can quickly and conveniently prepare the photonic humidity sensor on a large scale with arbitrary shape which has an important significance in large-scale industrial production. The photonic humidity sensor can self-display brilliant colors from navy blue to light red as the relative humidity changes from 11% to 97%. The whole shift of the reflection wavelength is nearly 160 nm, which almost covers the whole visual region and its intensity is readable by the naked eye.

In addition, cycle tests demonstrate that the photonic humidity sensor has a good stability and reproducibility in its diffraction signal. Therefore, coupled with low cost and no power consumption, the photonic humidity sensor system can realize colorimetric detection of humidity, similarly to pH indicator paper.


2016年7月7日星期四

Humidity sensors principle, mechanism, and fabrication technologies: a comprehensive review

Humidity measurement is one of the most significant issues in various areas of applications such as instrumentation, automated systems, agriculture, climatology and GIS. Numerous sorts of humidity sensors fabricated and developed for industrial and laboratory applications are reviewed and presented in this article.

The survey frequently concentrates on the RH sensors based upon their organic and inorganic functional materials, e.g., porous ceramics (semiconductors), polymers, ceramic/polymer and electrolytes, as well as conduction mechanism and fabrication technologies. A significant aim of this review is to provide a distinct categorization pursuant to state of the art humidity sensor types, principles of work, sensing substances, transduction mechanisms, and production technologies.

Furthermore, performance characteristics of the different humidity sensors such as electrical and statistical data will be detailed and gives an added value to the report. By comparison of overall prospects of the sensors it was revealed that there are still drawbacks as to efficiency of sensing elements and conduction values. The flexibility offered by thick film and thin film processes either in the preparation of materials or in the choice of shape and size of the sensor structure provides advantages over other technologies. These ceramic sensors show faster response than other types.


2016年7月6日星期三

What benefit does a humidity sensor give?

I'm buying an extractor fan for a bathroom with a new shower. I'm interested to find out what the benefit will be of doubling the cost of the unit to £160 of a humidity sensor?

I haven't got one but at a guess, the humidity sensor would be there to turn the fan on/off according to the humidity level to limit humidity and hence prevent/reduce condensation. So probably an advantage for rooms with humidity issues - bathrooms/showers, kitchens. Not much use where the fan is used purely to remove odours - toilets.

£160 sounds a lot, have you had a look online - Screwfix, Toolstation etc?

The benefit of a humidity sensing extractor fan, as opposed to a timer-based unit, is that it will only run when it's needed to get rid of the excess humidity following a shower.

Timer-based ones which are linked to the light switch (as is normal) will come on every time someone goes into the bathroom, even if there's no need for them to do so, leading to unnecessary noise and to the fan chucking nice warm air out of the house for no reason.

So, humidity sensor based ones will save money in fan running costs (fairly trivial), heating costs (slightly less trivial) and reduce unnecessary noise.

I'm not sure if that's worth £80.

Our en suite bathroom has a pull-cord extractor fan with a timer, so at least it only comes on when we choose to switch it on when having a shower.


2016年7月5日星期二

Zero drift NDIR gas sensors

Output stability or drift overtime has long been a major performance deficiency for gas sensors irrespective of what technology or methodology is used for their conception. Software correction may alleviate the problem somewhat but it is not always applicable. It has long been the objective of many researchers in this field to overcome this problem fundamentally and for good. The purpose of this paper is to show that this objective has now finally been achieved.

Design/methodology/approach
Conventional non-dispersive infrared (NDIR) dual beam methodology utilizes the ratio of signal channel output over reference channel output for signal processing. The signal filter overlaps the absorption band of the gas of interest while the reference filter does not. However, this ratio changes as the source ages. The current methodology uses an absorption bias between signal and reference channel outputs. This absorption bias is created by using a path length for the signal channel greater than that for the reference channel. Both the signal and reference detectors carry an identical spectral filter overlapping the absorption band of the gas to be measured.

Findings
Implementation of the currently patented NDIR gas-sensing methodology has been carried out in different gas sensor configurations for over a year in the laboratory. Performance results for these sensors showing insignificant output drifts overtime have been repeatedly demonstrated via simulated aging for the source. Originality/value - The paper puts forward the view that the recent breakthrough of the Near Zero Drift methodology for NDIR gas sensors will very quickly change the hierarchy of technology dominance and utility for gas sensors at large.


iPhone 6 May Feature a Barometer Sensor and Air Pressure Sensors

 Looks like the next iPhone might be able to measure temperature, air pressure, and altitude, with a new report tipping addition of a new barometer sensor into the handset.
Apple's next iPhone, believed to be dubbed the iPhone 6, has been in headlines with numerous leaks tipping details about the unannounced handset's design and display size. However, this is the first time we have heard details of the alleged iPhone 6's new sensor system.
The details about the possible presence of a new sensor on the anticipated iPhone 6 come via references found in Xcode 6 and iOS 8, which are the latest iPhone software developer kit (SDK) and operating system. The report claims that the software includes updated CoreMotion APIs, which include reference of the new altitude measuring capabilities. A 9to5mac report claims that there are a number of apps in the App Store which can track altitude and one of them is even listed on the company's Your Verse section.
Notably, the reference of the new altitude measuring capabilities in Xcode 6 and iOS 8 is a new framework that is dedicated to altitude tracking. The report, citing a few developers, claims that this framework requires a new Apple hardware.
The report informs the App Store currently comes with apps that use the iOS device's inbuilt GPS and motion chips to determine altitude; however, a barometer sensor could get more accurate data and could be quick to load data, thanks to the dedicated chip.
A developer from FutureTap, as cited by 9to5mac, tested the new framework on an iPhone 5s, which in result confirmed that the device [iPhone 5s] did not support the altitude changes.
The report speculates that the new sensor could be a part of, and be powered by, the alleged iPhone 6's M8 motion co-processor that's said to be a part of the expected A8 processor rumoured to debut on the alleged iPhone 6 and be designed for improved efficiency and battery life.
Reports have been tipping that Apple's next iPhone would hit shelves on September 19. The Cupertino-based company has been rumoured to be testing a higher screen resolution of 960x1704 pixels on at least one of the two iPhone models likely to debut this year.

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