37results about How to "Suitable for monitoring" patented technology

The invention discloses an active dot-matrix type flexible electrode paste device which is applied to the technical field of collecting of human body surface electrophysiological signals in the field of medical treatment and health. According to the active dot-matrix type flexible electrode paste device, a flexible dry electrode module, a signal collecting circuit system and an auxiliary assembly are integrated into a paste piece with viscosity. The flexible dry electrode module directly makes contact with the human body surface to collect human body electrophysiological signals, impedance matching is achieved through a voltage following circuit, the signal collecting circuit system conducts amplification filter and A / D conversion processing on the electrophysiological signals after impedance matching, and finally the electrophysiological signals are transmitted into a client through a wireless communication module. The device has the characteristics of convenient wearing and softness, is suitable for long-term use of 24 hours every day, and meets the requirements such as rehabilitation and diseases of human-computer interaction. A dot-matrix type electrode arrangement mode is adopted, the electrophysiological signals with the irregular muscle fiber trend or the electrophysiological signals of small muscle group parts can be collected, and multidimensional difference calculation can be realized to improve the spatial filtering effect.

The invention relates to the technical field of measurement and discloses an optical fibre sensor and an application thereof in refracting index and strain measurement. The optical fibre sensor is provided with a D-shaped optical fibre segment with D-shaped section on circular optical fibre and is characterized in that the distance between the flat surface of the D-shaped optical fibre segment and fibre core is 1-3 micrometers, and the D-shaped optical fibre segment is marked with Bragg fibre grating. The optical fibre sensor can be used for measuring the refracting index, and can also be used for measuring the refracting index and the strain simultaneously. The optical fibre sensor can better eliminate the stress influence while being used for measuring the refracting index and is especially suitable to monitor the solidifying process of polymer.

The invention provides a millimeter-wave image analysis method, which comprises the following steps: acquiring a millimeter-wave image of a monitored region; carrying out image segmentation on the millimeter-wave image and obtaining a binary image; carrying out region filling on the binary image; carrying out connected region labeling on the binary image after the region filling, and obtaining the maximum connected region which is a suspicious fire region; and carrying out fire point judgment on the suspicious fire region, and judging whether the suspicious fire region is the region which is bound to cause fire or not. The invention provides a fire monitoring system which comprises at least one passive millimeter-wave imaging system, at least one video imaging system, a communication module, a communication network and a monitoring server, wherein the millimeter-wave imaging system is used for acquiring the millimeter-wave image of the monitored region, analyzing the millimeter-wave image, judging the region which is bound to cause the fire, producing alarm information and sending the alarm information to the monitoring server; and the video imaging system is arranged in the monitored region and used for acquiring a video image of the monitored region.

A vehicle speed detection radar design and signal processing method is embodied by a radar design proposal for achieving the comprehensive aims of low price, high performance and small size. A radar is composed of two parts of a radar front end and a high-speed digital signal processor; and the front end of the radar is composed of a transmitting micro-band array antenna, a receiving micro-band array antenna, a voltage control microwave source with a frequency stabilization circuit, a dual-line balanced mixer, a dual-channel Doppler signal amplification-filter circuit and a dual-channel analog-digital conversion circuit. The front end of the radar uses the integrated design on the structure and the electricity, and the high-speed digital signal processor uses the fast discrete Fourier transform and the orthogonal signal processing methods to obtain the target speed value. The micro-band array antenna of the invention has good direction, so the radar can respectively monitor each lane; a radar system has fast response time and can detect the vehicles which excessively exceed the speed limit; the radar system simultaneously has thinner size, good anti-interference performance, low material cost and low processing cost.

The invention relates to a zoning method and a node positioning method for a complicated zone of a wireless sensor network. The zoning method comprises the steps of determining boundary nodes of the complicated zone of the wireless sensor network so as to obtain a boundary node set; determining concave nodes and convex nodes among the boundary nodes; zoning the complicated zone of the wireless sensor network into a plurality of subzones with convex topological structures. The node positioning method comprises the steps of zoning the complicated zone by the complicated zone zoning method, and then, positioning each subzone by traditional positioning methods. The methods disclosed by the invention are applicable to monitoring on large-scale complicated zones, and the positioning accuracy is high.

The invention discloses an in-container process abnormal behavior detection method and system. A host machine user layer is provided; behaviors such as creation, operation and extinction of all processes in the container are perceived in real time in an agent-free monitoring mode; therefore, the system call behavior data of the full life cycle of the process is transparently acquired; semantic features of the sequence data is acquired by using an LSTM recurrent neural network; according to the method, a normal process behavior contour is described, and finally, two exception judgment methods are provided by adopting a mode of accumulating deviation in a local window, so that the regularity of process system calling behaviors can be expressed more stably, and the false alarm rate is effectively reduced while the detection rate is improved. Besides, in the modeling stage, the number of training samples is reduced on year-on-year basis according to the short sequence frequency called by mapping the same system, and the training speed of the model is increased, and the short sequence probability threshold value in the detection stage is self-defined in the mode of testing training data, and the workload of manual participation is reduced.

The present invention discloses a great seismogenic process and imminent earthquake monitoring system based on earth sound detection. According to the system, a sensor array is mounted in deep holes or deep wells, and receives earth sound signals including complete frequency information, intensity information and sound source location information; the earth sound signals pass through a signal processing module and a signal transmission passage module, and are stored and sent to a monitoring center by a master control and data storage and sending module; and the system is ensured to work normally for more than one month by a power supply managing module even under the conditions of wilderness or disasters. The system provided by the invention can perform unmanned, intensive and large-scale monitoring on the earth sound information in a great seismogenic process and before an imminent earthquake for a long term with low cost and reliability.

The invention discloses a fault diagnosis method based on non-equal-weighted local preserving embedding, and the method aims at solving a problem of how to build a dynamic directed graph structure according to the complex dynamic characteristics of data in a modern industrial process, so as to preserve the local neighbor relation of original samples, to preserve the local structural relation of the original feature variables, and to enable the embedded low-dimensional data structural relation to be consistent with an original space. According to the invention, the method comprises the steps: constructing a directed network through non-equal-weighted connecting sides of the graph, calculating a probability distance guide sample similarity matrix, forming a non-equal-weighted local preserving embedded model, so as to effectively represent the local neighbor relation of samples in a dynamic process; introducing a feature variable to the graph construction, preserving the local relation information of the feature variable, selecting a feature variable which severely affects a process fault, and further improving the classification precision of a diagnosis model. Compared with a neighbor preserving embedding method, the method can represent the topological structure relation of process data, also achieves the construction of the non-equal-weighted local preserving directed graph, achieves the obtaining of the neighbor relation between the samples, represents the local manifold structure of the feature variable in a better way, and reflects the dynamic change conditions of the process. Therefore, the non-equal-weighted local preserving embedded model can obtain a better fault diagnosis result of the dynamic process.

The invention relates to a mobile phone signal outdoor micro base station monitoring system which comprises an outdoor integrated cabinet installed and connected together with an outdoor micro base station. The outdoor integrated cabinet is connected with a network management server by an NB-IoT network; the network management server is in communication connection with a client; and a lithium-ironbattery, a UPS inverter power supply module, an optical fiber distribution unit and a monitoring module are also arranged in the outdoor integrated cabinet. The system not only can supply power to main equipment on an outdoor micro base station site and be used as a back-up power supply, but also can implement power environment monitoring of the site, and is convenient for construction and maintenance.

The invention relates to a photovoltaic power generation common-network anti-reflux heat energy storage control device and method based on remote control. The control device comprises a heat energy storage main controller module, a driving module connected with the controller module, a touch screen serving as a human-computer interaction display control interface and a GPRS communication module for viewing and detecting dynamic conditions in a networking manner, wherein the main control module drives an H bridge consisting of IGBT in the driving module by controlling a CPLD chip to generate PWM time sequence so as to output direct current for heating a heat energy device. According to the method, the micro-grid system of the power network of small-sized factories and home users shared by solar photovoltaic power generation and commercial power is used in the occasions with fixed hot water demand time, relevant electric quantity is detected, analysis guarantees that no redundant electric quantity flows into the commercial power on the premise of utilizing the solar photovoltaic power generation to the maximum extent, troubles of a large amount of wiring are omitted, and the clean energy heat energy storage device is heated, so that reverse current is prevented from being generated.

The embodiment of the invention discloses a cutter state monitoring method for analyzing a multi-dimensional signal based on steady state subspace. The cutter state monitoring method includes the steps that the cutter state types and one-dimensional vibration time-domain signals obtained through various cutter states are obtained from measured cutter historical data, all the vibration time-domain signals are expanded to be multi-dimensional, N set of signals are correspondingly cut to sequentially enter a steady state subspace analytical model for calculation, and mathematical analysis values corresponding to various cutter states of a measured cutter are obtained; one-dimensional vibration time-domain signals of a to-be-measured cutter are collected to be expanded to be multi-dimensional, N set of signals are cut to enter the steady state subspace analytical model for calculation, and mathematical analysis values corresponding to the to-be-measured cutter are obtained; the measured cutter mathematical analysis value with the minimum absolute value of the difference of the mathematical analysis values of the to-be-measured cutter is screened, and the corresponding cutter state type serves as a fault type of the to-be-measured cutter. According to the embodiment, shortcomings in the existing method are overcome, and the cutter state monitoring method is suitable for monitoring and diagnosis which are wider in single requirement under limited samples and is more suitable for the cutter damage process.

The invention discloses a polluted site groundwater quality layered monitoring system and method. The system comprises a well mouth protection box on a well mouth of a monitoring well, a cross beam is arranged in the well mouth protection box, an adjustable hanging ring and a fixed hanging ring are installed on the cross beam, a cable connects a bottom layer monitoring probe, a middle layer monitoring probe and a top layer composite monitoring probe in series and then penetrates through the adjustable hanging ring to be connected with a control host, and the control host is hung on the fixed hanging ring through a mooring rope. The control host comprises a main controller and a remote transmitter which are installed in a host shell, and an air pressure sensor and an overflow sensor are installed on the host shell. An anti-theft sensor and a signal antenna are arranged in the wellhead protection box. The signal antenna is connected with the main controller through the remote transmitter. The bottom layer monitoring probe, the middle layer monitoring probe, the top layer composite monitoring probe, the air pressure sensor, the overflow sensor and the anti-theft sensor are connected with the main controller. The water quality data can be obtained from underground water in a layering manner, and underground water pollution conditions are truly and comprehensively reflected.

The invention discloses a detection method for an avian influenza hemagglutination inhibition test. The detection method comprises the following steps: S1, sequentially numbering a V-shaped micro-reaction plate from 1 to 12, sequentially adding 50 [mu]L of 4 units of an avian influenza virus antigen solution into each of the holes from 1 to 11; S2, respectively adding 50 [mu]L of detected serum into the first hole and the twelfth hole, mixing evenly, then absorbing 50 [mu]L to the second hole from the first hole, sequentially diluting to the tenth hole at multiple proportions, abandoning 50 [mu]L in the tenth hole; S3, sequentially adding 50 [mu]L of 1% chicken erythrocyte suspension into each hole from the twelfth hole to the first hole; S4, oscillating the V-shaped micro-reaction plate on a microoscillator, allowing standing still, incubating, and judging the agglutination condition of each hole when erythrocyte in the twelfth hole forms a button shape and sinks to the bottom of thehole. The detection method is efficient and fast, is high in accuracy, and is suitable for monitoring large chicken flocks by an enterprise.

The invention discloses a passive sampling instrument for measuring macrolide antibiotics in water and application thereof and belongs to the field of antibiotic sampling and measuring.The passive sampling instrument comprises a sampling barrel and adsorbent, wherein the sampling barrel is made of a 100-mesh stainless steel screen, and the sampling barrel is filled with granular XAD resin.A sampling and measuring method mainly comprises the steps of adsorbent cleaning, sampling, extracting of antibiotics in the adsorbent, antibiotic content measuring through HPLC-MS / MS, sampling rate measuring and time weighed mean concentration Cw calculation of antibiotics in the water.The passive sampling instrument is easy to manufacture and assemble and low in cost, extracting of macrolide antibiotics in the adsorbent is conducted only through easy solvent drip washing, the use amount of organic solvent is greatly reduced, the analyzing time is shortened, and the passive sampling instrument is suitable for passive sampling and detecting of macrolide antibiotics in the actual water.

The invention belongs to the technical field of power transmission and transformation monitoring, and discloses a power transmission and transformation online monitoring data ad hoc network communication method. The method comprises the following steps of: S1, carrying out ad-hoc networking by monitoring terminals to a corresponding sink node module; S2, establishing data communication between a sink node module and each monitoring terminal in the coverage area to realize receiving, encryption and sending of data; S3, establishing communication between an upper layer access node module and each sink node; S4, accessing and formatting various types of data; and S5, screening and uploading data information after edge calculation processing. The invention further provides a computer network system which comprises a power transmission and transformation online monitoring module and a processing circuit, wherein the power transmission and transformation online monitoring module stores online monitoring data and programs, and the power transmission and transformation online monitoring module can be called through the processing circuit so as to execute the power transmission and transformation online monitoring data ad hoc network communication method. The power transmission and transformation online monitoring data ad hoc network communication method and system are high in field equipment integration level, few in occupied resources, smooth in communication, good in real-time performance and suitable for monitoring of distributed power transmission and transformation facilities.

The invention provides a wireless non-contact temperature measurement system. The wireless non-contact temperature measurement system comprises a remote server, a temperature measurement module and auser terminal. The remote server is in wireless communication connection with the temperature measurement module through a network, and the user terminal is in wireless communication connection with the remote server through the network. According to the wireless non-contact temperature measurement system and the measurement method thereof, a voice and display module can be selected for matching and can cooperate with a mobile phone to be used as a personal and household use module, and can also be integrated into an intelligent PDA (Personal Digital Assistant) to be used for personnel monitoring and data management in crowded places such as enterprises, communities, hospitals, schools and airports.

A system for monitoring an imminent earthquake, comprising: a plurality of groups of sensor arrays (50) used for detecting sound wave frequency bands of different earthquake sounds; a signal processing module (40) used for conducting signal filtering, amplification and analogue-to-digital conversion on output signals of the plurality of groups of sensor arrays (50); and a signal transmission module (30) which comprises a cable (301) used for transmitting output signals of the signal processing module (40), a main control module (20) used for receiving the signals transmitted by the cable (301), and a power supply management module (10) used for supplying power for the signal processing module (40), the signal transmission module (30) and the main control module (20). Since a frequency response range of the plurality of groups of sensor arrays (50) covers sound wave frequency bands of different earthquake sounds, the system for monitoring an imminent earthquake can capture the intensity, frequentness and frequency of different earthquake sound information. In addition, further provided is an installation method for the system used for monitoring an imminent earthquake.

The invention discloses a method for measuring carbon-14 in environmental water. The method comprises the steps of inorganic carbon gas freeing sample preparation, organic carbon sample preparation and liquid flash measurement, wherein the organic carbon sample preparation comprises wet organic carbon oxidization, high-temperature catalytic oxidization, carbon dioxide catching and conversion; the method is characterized in that during the wet organic carbon oxidization, a multi-element catalytic oxidizing agent system is adopted to perform catalytic oxidization; the multi-element catalytic oxidizing agent system consists of S2O8<2-> / H2O2 and Fe<2+> / TiO2; during high-temperature catalytic oxidization, a tubular furnace is adopted to perform catalytic oxidization. Due to collection step by step through different gas paths, the activity concentration of inorganic carbon-14, the activity concentration of organic carbon-14 and the activity concentration of total carbon-14 in the environmental water body can be respectively measured; by the use of the multi-element catalytic oxidizing agent system, the carbon-14 of various organic forms in a sample can be efficiently and stably converted and caught; high-capacity sample treatment capacity is realized, and a low-enough detection lower limit level is achieved.

The invention discloses a cable temperature detection system and a wireless temperature sensor for the system. The system comprises a receiving node, a wireless gateway / base station, a wireless temperature sensor and a cloud; bidirectional data communication is carried out between the receiving node and the wireless temperature sensor in a wireless communication mode; bidirectional data communication is carried out between the receiving node and the wireless gateway / base station in a wireless communication mode; the wireless temperature sensor is composed of an elastic watchband, a temperaturemeasuring probe, an electronic bin, a fixed power supply, a data acquisition system, a data processing system, a data transceiving system and an antenna. The wireless temperature sensor senses the temperature of the cable through the temperature measuring probe; the temperature is converted into an electric signal through the data acquisition system and the data processing system, then the electric signal is transmitted to the receiving node through the antenna of the data transceiving system, the receiving node transmits the electric signal to the wireless gateway and the base station through Lora and NB-IoT communication modes, and finally the electric signal is transmitted to the cloud, so that the purpose of temperature monitoring is achieved.

The invention discloses a self-powered temperature sensor based on a thermoelectric effect and a preparation method and application thereof, and aims to provide a temperature sensor which is based on a high-performance bismuth telluride-based thin film thermoelectric material and is high in sensitivity and high in flexibility, a preparation method of the temperature sensor and application of the temperature sensor in the aspect of monitoring the temperature of greenhouse soil. The temperature sensor comprises a thermoelectric module, the thermoelectric module comprises a substrate plate, the substrate plate is provided with N-type bismuth telluride films and P-type antimony telluride films which are distributed in a scattering shape, the N-type bismuth telluride films and the P-type antimony telluride films are arranged at intervals, the N-type bismuth telluride films and the P-type antimony telluride films are connected in series through film electrodes to integrate multiple pairs of P-N junction thermoelectric legs, and the P-N junction thermoelectric legs are connected with the substrate plate. A central hollow hole is formed in an inner ring formed along the thin film electrode on the base plate, the hollow position at the central hollow hole and the thin film electrode of the inner ring are packaged through a high heat conduction material, and a heat conduction packaging layer is formed in a middle area. The sensor has the advantages of high sensitivity, strong flexibility and accurate monitoring capability.

The invention provides a fox retrovirus SYBR Green I fluorescent RT-PCR kit and a use method. The kit comprises a nucleic acid releasing agent, 2 * One step TB Green RT-PCR Buffer III, an enzyme mixed solution, a negative control, a positive control and a primer group; the nucleotide sequence of the primer group is a specific base sequence as shown in SEQ ID No. 1 and SEQ ID No. 2; and the use method comprises the following steps: preparing a to-be-detected sample template, performing fluorescent RT-PCR amplification and analyzing a result. The detection primer is used in the SYBR Green I fluorescent RT-PCR kit, so that the kit has the advantages of wide applicability and strong applicability, and also has the advantages of high detection accuracy and strong specificity; and in addition, by using the kit, fox retrovirus detection can be completed through one-time sample adding, the detection process is simple, and operation is easy.

The invention discloses a wireless temperature sensor and a wireless temperature measuring device containing the sensor, including a receiving node, a wireless gateway / base station, and a wireless temperature sensor. The probe and the temperature measuring probe shell, the internal circuit board of the electronic warehouse, the circuit board is integrated with a data acquisition system, a data processing system and a data sending and receiving system, the data receiving and receiving system is equipped with an antenna, and the wireless temperature sensor senses the temperature of the cable through the temperature measuring probe , through the data acquisition system and data processing system into electrical signals, and then transmit electrical signals to the receiving node through the antenna of the data receiving and transmitting system, which improves the accuracy and reliability of cable temperature monitoring and is suitable for monitoring in various environments.