Patent abstracts

Citation

(2012), "Patent abstracts", Sensor Review, Vol. 32 No. 1. https://doi.org/10.1108/sr.2012.08732aaa.011

Patent abstracts

Article Type: Patent abstracts From: Sensor Review, Volume 32, Issue 1

Title: Freestanding carbon nanotube networks based temperature sensorPublication number: US 2011210415 (A1)Publication date: 1 September 2011Inventor(s): Altavilla Claudia (IT); Bobba Fabrizio (IT); Ciambelli Paolo (IT); Cucolo Annamaria (IT); Di Bartolomeo Antonio (IT); Giubileo Filippo (IT); Piano Samanta (IT); Sannino Diana (IT); Sarno Maria (IT); Scarfato Alessandro (IT)

Abstract

The present invention introduces a small-size temperature sensor, which exploits a random or oriented network of un-functionalized, single or multi-walled, carbon nanotubes to monitor a wide range of temperatures. Such network is manufactured in the form of freestanding thin film with an electric conductance proven to be a monotonic function of the temperature, above 4.2 K. Said carbon nanotube film is wire-connected to a high precision source-measurement unit, which measures its electric conductance by a standard two or four-probe technique. Said temperature sensor has a low power consumption, an excellent stability and durability, a high sensitivity and a fast response; its manufacturing method is simple and robust and yields low-cost devices. Said temperature sensor, freely scalable in dimension, is suitable for local accurate measurements of rapidly and widely changing temperatures, while introducing a negligible disturb to the measurement environment.

Title: Water quality detection wireless transmission collection node device and information fusion methodPublication number: CN 101957600 (A)Publication date: 26 January 2011Applicant(s): Univ. Shanghai Ocean

Abstract

The invention relates to a greenhouse wireless sensor network control node device for intensive aquiculture by using a wireless measurement and control method, which is installed in a wireless measurement and control network of intensive aquiculture. The device is arranged in a culturing farm of an intensive aquiculture region, a collection node is used for collecting the parameters of water quality environment sensors, and the data collected by the sensor group is preprocessed by combining a rule base and an information fusion algorithm. A radial basis function neutral network algorithm (RBF algorithm) and the fuzzy computing technology are adopted as an algorithm model of information fusion, the collected data is subject to field level data fusion, and a ZigBee wireless module is used for sending fused abnormal water quality environment state and environment parameter data to a convergent node. The convergent node uploads the data to a monitoring center, and the monitoring center can monitor the growth conditions of cultured organisms, environmental conditions, control device operating conditions and the like of a plurality of culturing farms within a monitoring range in real time. The collection node can also receive the feedback information of the convergent node and the monitoring center and adjusts the parameters of the information fusion algorithm. The device is an information collection device for a wireless sensor network, has high efficiency, reliability and convenient operation, and is used for solving the difficulties of data real-time collection for culturing environment and filed level data fusion in the intensive aquiculture process by using the wireless sensors.

Title: Measuring device and method of dynamic ocean wavesPublication number: CN 101706275 (A)Publication date: 12 May 2010Applicant(s): Univ. Harbin Eng.

Abstract

The invention provides measuring device and method of dynamic ocean waves. The device comprises two pressure sensors, a temperature sensor, an acceleration sensor, an inclination angle sensor, a signal conditioning unit, an AD conversion unit, a data storage unit, an RS485 communication unit, a power management unit and a digital signal processor. The invention has the core that the two pressure sensors are utilized for detecting the pressure in water, the depth at the zero crossing moment is derived according to the pressure-in-water computing formula described by a Bernoulli equation in fluid mechanics, the depths at other times except the zero-crossing moment are continuously estimated according to the data of the acceleration sensor and an angle sensor, the wave number and the wave height are computed according to the computing relational expression of the wave number and the wave height at the non-zero-crossing moment. The technical method not only has novelty and creativity, but also has simple structure and convenient manufacture and can be widely used for underwater robots, communication buoys and other diving sounding systems.

Title: Safety management system for hazardous workplacePublication number: WO 2011059128 (A1)Publication date: 19 May 2011Applicant(s): Infovil Korea Co Ltd (KR); Kim Myung Ho (KR); Lee Kwang Hyun (KR); Kim Dong Ho (KR)

Abstract

The present invention relates to a safety management system for a hazardous workplace, comprising: a gas sensor, which is installed inside an enclosed space within the hazardous workplace for sensing temperature, humidity, air and toxic gases, and which then transmits detected environment information; a safety protection device, which is worn by a worker working inside the hazardous workplace to protect the face from toxic gases, which detects the worker’s biometric information and transmits the detected biometric information; an information collector, which is installed outside the hazardous workplace to collect, filter and transmit the detected information that is transmitted from the gas sensor and the safety protection device, respectively; and a management server, which receives the detected information which has been collected by and transmitted from the information collector, analyzes the received environmental information as well as the biometric information of workers to monitor environmental conditions of the hazardous workplace and the health conditions of workers in real-time mode, sends a message to the safety protection device or the gas sensor through the information collector, based on the monitored result, if a certain incident or situation has occurred or if a health problem in a worker has been detected, and transmits information about the circumstances of the workplace to a field manager terminal.

Title: Portable indoor environment monitoring devicePublication number: CN 201765479Publication date: 16 March 2011Applicant(s): Univ. Central South Forestry

Abstract: The utility model discloses a portable indoor environment monitoring device. The portable indoor environment monitoring device adopts a segregating structure and comprises an indoor air monitoring device and an indoor air purifying device. The indoor air monitoring device is wirelessly connected with the indoor air purifying device; an ammonia gas sensor, a formaldehyde sensor and a benzene sensor are arranged in the indoor air monitoring device and, respectively, connected with three input ports of a multiplexing switch which is controlled by a main controller; the output port of the multiplexing switch is connected with the main controller through an amplifying circuit and an A/D converter sequentially; the main controller is connected with an alarm; and a display is connected with the main controller. In the indoor air purifying device, the indoor air purifying device is connected with the main controller by infrared remote controlling. The portable indoor environment monitoring device can real-timely monitor and measure whether the densities of varied harmful gases in indoor environment are overproof and warn people and automatically start the indoor air purifying device when the densities are overproof.

Title: Wind speed sensor calibration equipmentPublication number: CN 201697935 (U)Publication date: 5 January 2011Applicant(s): Huainan Mining Group Co Ltd

Abstract

The utility model discloses wind speed sensor calibration equipment which includes an air inlet and outlet pipeline, a fan and a master standard wind speed sensor; the fan is connected with the air outlet side of the air inlet and outlet pipeline for providing a known air source in the air inlet and outlet pipeline; and the master standard wind speed sensor is connected with the air inlet side of the air inlet and outlet pipeline for determining the wind speed of the known air source provided by the fan in the air inlet and outlet pipeline and taking the wind speed as the calibration basis for a wind speed sensor to be calibrated. The technical scheme provided by the wind speed sensor calibration equipment can accurately calibrate the wind speed sensor, guarantees to continuously monitor the wind speed situations of a mining area and a working face, guarantees the stability and reliability of an underground ventilation system, leads the wind speed sensor to be calibrated to be capable of timely reflecting the ventilation situation of the mining area, and stops artificially checking the blind spots of a cycle period.

Title: Method of ecological monitoring of forestsPublication number: RU 2406295 (C1)Publication date: 20 December 2010Applicant(s): G UCHREZHDENIE NTS AEHROKOSMICHESKOGO MONITORINGA TSPAM AEHROKOSMOS (RU); G OBRAZOVATEL NOE UCHREZHDENIE VYSSHEGO PROFESSIONAL NOGO OBRAZOVANIJA MO GU LESA GOU VPO MGUL (RU)

Abstract

FIELD: agriculture. ^ SUBSTANCE: method of ecological monitoring of forests includes remote registration of brightness fields of forest vegetation with aerospace equipment. Remote registration of brightness fields of forest vegetation is accomplished by sensing multi-or hyperspectral sensor in the green G (450-550 nm), red R (550-670 nm) and near-infrared NIR (670-950 nm) bands of the spectrum with simultaneous obtaining of digital images for each band. Expectation value of signals (MG, MR, MNIR) are calculated in each band, a matrix of the resulting image is formed by pixel adding of images of G, R, NIR. Signs of forest pathology are calculated as an index of vitality g=MG/(MG+MR), lesion index R=MR/(MG+MR), the normalised differential index of producing phytomass NDVI= (MNIR−MR)/(MNIR+MR), the area of reliefs of leaf canopies of image R and the resulting image, respectively, SpR, Sp0, the average frequency of the spatial spectrums of the image R and the resulting image 0, respectively, FavR, Fav0. Degree of weakening Q of forest crop at the area So is determined by a calibrated standard regressional relationship of the form: Qëê0.6(NDVI g)−1[r(l-NDVI)1/3(″″R/″″0)(DR/D0)1,2, where: ″″R, ″″0 are estimated completeness of forest crop calculated by the reliefs squares of the corresponding matrices ″″R=SpR/S0, ″″0=Sp0/S0; DR, D0 are the average tree head diametres equal to, respectively, Dr=1/FavR, D0=1/Fav0. ^EFFECT: method provides speed and accuracy of estimation of ecological state of forest areas.