41results about How to "Realize high-precision monitoring" patented technology

Disclosed is a regional ground settlement monitoring method based on multiple track and long strip CTInSAR (coherent target synthetic aperture radar interferometry). The regional ground settlement monitoring method based on the multiple track and long strip CTInSAR includes seven steps: step 1, partitioning long strip radar data and performing accurate registration on the long strip radar data after being partitioned; step 2, generating a differential interference stripe atlas; step 3, removing track remnant phase positions; step 4, performing CTInSAR timing sequence analysis; step 5, examining and correcting adjacent partitioning blocks of a long strip; step 6, unifying coordinate systems of multiple tracks; step 7, examining information of the multiple tacks and unifying basis references. The regional ground settlement monitoring method based on the multiple track and long strip CTInSAR solves the two main problems that how to reduce error influences of base line error, atmospheric oscillation, phase unwrapping noise and the like, which show obvious low frequency characteristics along with range enlargement in a spatial domain during the deformation information extraction process and how to perform the accurate registration on deformation monitoring results of the adjacent tracks on space positions, which are encountered during the large region deformation survey and monitor process of InSAR (synthetic aperture radar interferometry), and unifies the basis references of deformation measurement among the different tracks.

The invention provides a method for monitoring the full-court stress of a power transmission tower, which is characterized by comprising the following steps of: (1) building a high-fidelity finite element model of a power transmission tower; (2) mounting a global positioning system (GPS) on the power transmission tower; (3) acquiring GPS data in a working state and acquiring high-precision power transmission tower attitude data by adopting attitude solving technology; and (4) inputting the attitude data into the high-fidelity finite element model of the tower transmission tower to obtain the full-court stress in the working state. The method overcomes the shortcoming that the conventional monitoring technology can only acquire the stress of limited numbers of measuring points of the power transmission tower in the working state and acquires the full-court stress of the power transmission tower in the working state by combining the GPS data and structure limited element data.

The invention discloses a distributed self-monitoring pre-stressed composite rib based on a long-scale-distance fiber grating, comprising a core composite rib body, a plurality of sections of fiber protection tubes are arranged outside the core composite rib body in a sleeving mode, and anchoring area resin coatings are arranged between the fiber protection tubes; the long-scale-distance fiber grating is wound on the core composite rib body and is positioned between the core composite rib body and the fiber protection tubes; and a composite rib shell is arranged outside the fiber protection tube. The self-monitoring composite rib can be applied to a common concrete structure and a pre-stressed concrete structure, high-precision monitoring of the rib material and the structure is achieved,the long-term durability and safety of the structure are enhanced, the reliability of the structure in a normal use state is improved, and the maintenance cost of the whole service life of the structure is reduced.

The invention provides a dome structure health monitoring and evaluation method and system based on a microwave radar, and the method comprises the steps: transmitting and receiving a linear frequency modulation continuous wave microwave signal to a to-be-detected dome structure through a microwave radar, and synchronously collecting a multi-channel intermediate frequency base band signal outputted by the microwave radar; obtaining a distance-angle thermogram of the to-be-detected dome structure, positioning key measuring points of the dome structure from the combined dimension of the distance and the angle, and extracting vibration displacement time domain information of each measuring point; through cable force monitoring, deformation monitoring and vibration monitoring, extracting characteristic parameters of each composition structure of the to-be-detected dome structure under static and dynamic loads; and performing health monitoring and safety evaluation on the dome structure through multi-feature fusion analysis according to the feature parameters of each composition structure of the to-be-detected dome structure under the static and dynamic loads. The full-view-field non-contact monitoring technology and method which are high in efficiency, easy to operate, low in cost and high in reliability are provided for health monitoring of the dome structure.

The invention provides an optical high-precision temperature monitoring device and method based on a quantum weak measurement theory. The optical high-precision temperature monitoring device comprisesan LED light source, a first collimating lens, a front selection polarizing film, a temperature control cavity, a liquid crystal sample wafer and a Soleil-Babinet compensator, a quarter-wave plate, arear selection polarizing film, a second collimating lens, a spectrum analyzer and a computer. The initial temperature in the temperature control cavity is measured through a temperature measuring device, and the Soleil-Babinet compensator is adjusted to a bias phase corresponding to the initial temperature according to the initial temperature; the average frequency of received light is calculated according to the spectrum of the received light of the spectrum analyzer, and a step of deducing and calculating the current temperature according to the average frequency of the received light is conducted; depending on the current temperature, the Soleil-Babinet compensator is adjusted to a bias phase corresponding to the current temperature; and the last two steps are repeated to realize real-time monitoring and correction of the temperature.

The invention provides a ground surface deformation monitoring method and system based on multi-source monitoring data fusion. According to the invention, an ensemble Kalman filtering assimilation mode taking high-precision level settlement data as a main body is adopted; fusion of a radar image differential surface element settlement result of the mining subsidence area and discrete actual measurement level data is realized; high-precision monitoring of the mining area is realized; the high precision of the level inversion value in the center of the basin is maintained, and the D-InSAR differential data is fused, so that the superiority of the D-InSAR data in boundary monitoring is further retained; high-precision seamless subsidence monitoring of the whole mining area is realized, and the transitivity of the fused surface subsidence deformation data in space is more consistent with the actual mining area deformation area.

The invention discloses a method for monitoring the wear state of a cutter by means of enhanced comparative learning of a Grubrum angle field, which comprises the following steps of: acquiring cutting force signals in three directions in a cutting process, generating a gray-scale image from the cutting force signal in each direction through the Grubrum angle field, and superposing and combining the gray-scale images in the three directions into a color image; the method comprises the following steps: inputting a feature extraction weight into a comparison learning model to obtain a pre-training model, loading the feature extraction weight in the pre-training model into a classification model, carrying out learning training on the classification model by using a small number of labeled samples, and identifying the tool wear state by using the trained classification model. According to the invention, high-precision monitoring of the wear state of the cutter can be realized by using a small number of labeled samples and a large number of unlabeled samples, and the experiment cost is greatly reduced.

The invention provides a test device and method for monitoring SCC crack initiation signals based on a DCPD method. The test device comprises a sample, a direct current power supply and a nanovoltmeter, wherein the two ends of the sample are shaft shoulder sections, and the middle section of the sample is a scale distance section; the sample is connected with a servo through a shaft shoulder section; the end parts of the two shaft shoulder sections of the sample are connected with a direct-current power supply; and two ends of the scale distance section and one of the shaft shoulder sections are connected with a nanovoltmeter. By designing the sample and introducing the reference potential, signal fluctuation caused by temperature fluctuation or material conductivity drift is remarkably reduced, and high-precision monitoring of crack initiation is completed.

The invention provides a scheme for simultaneously measuring strain and temperature by using a few-mode FBG-FP. The scheme comprises a narrow linewidth light source module, a few-mode FBG-FP module, a PDH demodulation module and a feedback control module. Two narrow-linewidth optical fiber light sources with wavelengths corresponding to a few-mode FBG-FP mode are subjected to beam coupling through an optical fiber coupler and then are transmitted backwards, phase modulation is carried out by a straight waveguide modulator, after the two narrow-linewidth optical fiber light sources enter at least mode FBG-FP after passing through an optical fiber circulator, two reflected mode harmonic peaks pass through the optical fiber circulator again and then are separated by a photon lantern, the light enters a photoelectric detector and is converted into an electric signal, PDH error signals in two modes are obtained after the electric signal enters a phase-locked amplification module, and the PDH signals are processed by an FPGA (Field Programmable Gate Array) respectively. According to the scheme, simultaneous measurement of multiple parameters is completed through a single optical fiber, and the sensing characteristic of a few-mode fine grating structure is explored for the first time.

The invention discloses a transformer on-line monitoring device, a use method and a transformer fault diagnosis method. The device comprises a photoacoustic chamber, and a parabolic mirror, an infrared light source, a modulation disc and a filter disc which are sequentially arranged above the photoacoustic chamber from top to bottom. An air inlet and an air outlet are formed in the photoacoustic chamber; microphones are arranged below the air inlet and above the air outlet of the photoacoustic chamber; the using method of the device comprises: reflecting and focusing upward incident light generated by the infrared light source by the parabolic mirror to generate a downward light beam, the downward light beam entering the modulation disc, the frequency of the downward light beam being modulated by the modulation disc and then entering the filter disc, and the downward light beam being split by the filter disc and then entering the photoacoustic chamber; a gas sample in transformer oil entering the photoacoustic chamber from the gas inlet absorbing light source energy and immediately releasing the light source energy, causing periodic mechanical pressure waves in the photoacoustic chamber to generate sound waves, and detecting the sound waves by the microphone; carrier gas and a chromatographic column do not need to be consumed, the sensor is good in stability, and maintenance-free can be achieved in long-term use.

The invention provides a nano sensor capable of simultaneously and real-time monitoring glucose and oxygen, and a preparation method and application thereof. The nano sensor is a nano sensor having acore-shell structure, and has a glucose probe, an oxygen probe and a reference probe. The nano sensor can simultaneously realize ratiometric detection of glucose and oxygen without interfering with each other; and the nano sensor dispersion can stably exist for at least half a year without a precipitating agent. At the same time, the sensor has a relatively small size of up to 100 nm, has good cell permeability and low cytotoxicity, can be used for intracellular sensing and can monitor intracellular glucose and oxygen in real time.

The invention relates to a self-balancing ground monitoring system which comprises an unmanned aerial vehicle, a connecting seat mounted on the lower part of the unmanned aerial vehicle, a balancing device connected to the connecting seat and an image collecting device mounted on the balancing device. The balancing device comprises a first hinge rod taking X axis as a rotating shaft and a second hinge rod taking Y axis as a rotating shaft, and the X axis and the Y axis are parallel to the horizontal plane and are perpendicular to each other; one end of the first hinge rod is rotatably connected to the connecting seat while the other end of the first hinge rod is rotatably connected to the second hinge rod; the image collecting device is fixedly mounted on the end part of the second hinge rod; a first counterweight assembly balanced with the image collecting device in gravity is arranged on the second hinge rod; and a second counterweight assembly balanced with the image collecting device, the first counterweight assembly and the second hinge rod in gravity are arranged on the second hinge rod. Compared with the prior art, the self-balancing ground monitoring system has the advantages of being high in monitoring precision, complete in function and suitable for flying conditions of an aircraft in any aerial angles.

The invention relates to a ball grid array antenna monitoring device, which comprises an antenna array and a monitoring network and is composed of a first dielectric slab, a second dielectric slab anda third dielectric slab. The ball grid array antenna monitoring device is characterized in that the antenna array is located on the upper surface of the first dielectric slab and formed by connectinga microstrip patch antenna unit, a microstrip feed network and a metal ground, and the monitoring network is formed by connecting a ball grid array, a metalized through hole, a strip transmission line and the like. The device effectively solves a problem that the existing antenna monitoring network cannot cover part of the amplitude and phase from a feeder outlet to an antenna unit, realizes high-precision monitoring of a digital phased array radar antenna array and can be widely applied to the monitoring of the digital phased array radar antenna.

One or more embodiments of the invention provide an unsupervised under-bridge pedestrian intrusion detection method and device, and the method comprises the steps: marking pedestrian position information in an original image through a pre-trained neural network model, and obtaining a marked image; processing the marked images through a Kalman filtering multi-target tracking algorithm and a Hungaryalgorithm, obtaining trajectory data of each pedestrian, then detecting the trajectory data, finding abnormal data in the trajectory data, and the abnormal data indicate that the pedestrians abnormally intrude into a detection area, so that high-precision monitoring of pedestrian intrusion under the bridge is realized.

The invention discloses a closed-loop feedback system evaluation method and device based on echo speckles and optical equipment. The closed-loop feedback system evaluation method based on echo speckles comprises the following steps: sampling echo speckles of an extended target; optimizing an echo speckle feedback factor through a fuzzy optimization algorithm, and controlling a phase item and an inclination item of a transmitting system; and establishing monotonous relationship between speckle statistical characteristics and sizes of focused light spots. According to the scheme, the problem that a traditional feedback method based on echo PIB energy cannot achieve closed-loop correction of an extended target is solved, the stability and convergence of a correction system are achieved, and ahigh closed-loop correction bandwidth can be guaranteed.

The invention discloses an indoor harmful gas monitoring apparatus. The indoor harmful gas monitoring apparatus comprises a gas sensor array, a data acquisition module and a monitoring module; the gassensor array is used for detecting various harmful gases, and the gas sensor array comprises a plurality of sensors; the data acquisition module is connected with the output end of the gas sensor array and used for acquiring detection data acquired by various sensors; and the monitoring module is connected with the data acquisition module and used for inputting the detection data acquired by thedata acquisition module into the monitoring module based on a depth confidence network algorithm and obtaining the concentration data of the indoor harmful gas. The indoor harmful gas monitoring apparatus of the invention can realize the high-accuracy monitoring of the indoor harmful gas.

The invention provides a dry-type reactor fault early warning system based on distributed detection, and belongs to the technical field of reactor overheating fault early warning systems. A dry-type reactor fault early warning system based on distributed detection comprises a reactor, a distributed temperature measurement system arranged on the reactor, a multi-physics field coupling simulation system connected with the distributed temperature measurement system, and a partial discharge combined diagnosis early warning algorithm connected with the multi-physics field coupling simulation system. And the partial discharge combined diagnosis early warning algorithm is connected with the sound array sensing system. Development of the system is based on a distributed temperature measurement system, the system is mainly used for distributed temperature measurement of the dry-type reactor, a multi-physics field coupling simulation system simulates distribution of a three-dimensional temperature field, accurate troubleshooting of thermal defects and fault diagnosis work are carried out in combination with an early warning algorithm, and the system can be applied to the reactor running in a complex environment.

The invention provides a coal mine microseismic signal processing method and device, and the method comprises the steps: monitoring an underground coal mine mining influence region through a vibration sensor, determining a vibration waveform signal corresponding to a monitored real-time vibration signal, and determining the background noise feature information of the real-time vibration waveform signal, the method comprises the following steps: acquiring a real-time vibration waveform signal, processing the real-time vibration waveform signal based on background noise characteristic information to obtain an effective micro-seismic waveform signal of the real-time vibration waveform signal, acquiring a clock signal corresponding to the effective micro-seismic waveform signal, compressing the effective micro-seismic waveform signal and the clock signal, storing the effective micro-seismic waveform signal and the clock signal in a memory card, and uploading the compressed effective micro-seismic waveform signal and the clock signal to an upper computer. In the process of processing the coal mine micro-seismic signal, the effective micro-seismic waveform signal is accurately determined based on the background noise characteristic information of the vibration waveform signal, so that the identification accuracy of the effective micro-seismic waveform signal is improved, and high-precision monitoring of coal mine micro-seismic is realized.

The invention discloses a displacement monitoring device comprising an image acquisition system, a network system, a power supply system and a computer system; the image acquisition system is responsible for image acquisition of an observation target mounted on a steam pipe, and the network system is responsible for network connection between a server and a control cabinet by using an optical fiber through a switch; the control cabinet is communicated with a camera through a network cable, the power supply system is mainly responsible for supplying power to the camera of the image acquisition system and the switch in the network system by a power supply device; compared with an existing relative displacement monitoring technology, the displacement monitoring device combines deep learning and binocular vision to realize high-precision monitoring of displacement of an object to be monitored. The accuracy of displacement monitoring is greatly improved, and the application range of deep learning is expanded. The method has the advantages of being good in applicability, wide in application scene and the like, and thus the technology has important application value for displacement monitoring of power plant boilers, steam turbine pipelines and other complex environments.

The invention relates to a monitoring method and system for the running process of a heavy-load train. The monitoring method comprises the steps: obtaining stress information of the heavy-load train; determining a dynamic model of the heavy haul train in the motion process according to the stress information; performing fuzzy C-means clustering analysis on the sample data of the heavy-load train, and determining preceding component parameters of a dynamical sub-model; according to the preceding component parameters and the sample data of the heavy-load train, determining the following component parameters of the dynamical sub-model by using a least square method; determining the dynamical sub-model under each rule according to the preceding component parameter of the dynamical sub-model, the following component parameter of the dynamical sub-model and the dynamical model; determining an initial model according to the dynamical sub-model under each rule; determining a heavy-load train operation process model according to the initial model; and monitoring the running process of the heavy-load train according to the heavy-load train running process model. According to the method, stable and accurate monitoring of the running process of the heavy-load train is realized through high-precision modeling of the running process of the heavy-load train.

The invention relates to a subway buried metal pipeline corrosion optical fiber monitoring device and method. The monitoring device comprises an excitation unit, a sensing unit, a pre-tightening unit, a supporting unit and a control unit. The subway metal pipeline corrosion monitoring method specifically comprises steps that the excitation unit outputs excitation current from one end of a buried metal pipeline to the other end of the buried metal pipeline; a magnetic field generated by excitation of the excitation current is conducted to the pre-tightened magnetostrictive composite material along a magnetizer of the sensing unit, so the magnetostrictive composite material deforms and causes the fiber bragg grating adhered to the magnetostrictive composite material to generate proportional deformation, and the fiber bragg grating transmits a deformation signal to the control unit; the control unit calculates to obtain the circulating current on the metal pipeline at the position where the sensing unit is arranged, and when the excitation current values monitored by two adjacent sensing units are different and the difference value exceeds a set threshold value, the control unit considers that the metal pipeline between the two sensing units is corroded and gives an alarm.

The invention discloses a circuit breaker intelligent regulation and control method based on target line state detection. The method includes S1, establishing a first corresponding relation model among a line diameter, a detection point distance and a temperature change range and storing the first corresponding relation model; S2, establishing a second corresponding relation model among the lengthof the line, the distance of the detection point and the temperature change range, and storing the second corresponding relation model; S3, collecting the diameter and length of the target line, andthe temperature at the first detection point and the second detection point; S4, searching the corresponding first temperature change range and the second temperature change range; S5, regulating andcontrolling the working state of the circuit breaker on the target line. The invention considers and sets a plurality of parameter reference models from the self-state of the line, In order to analyzethe influence of the line state on the overall temperature change of the line, and then through the analysis of the actual temperature on the line to determine the safety of the target line, directlyand quickly regulate and control the working conditions of the line so as to ensure the safety and stability of the line.

The invention discloses a circuit breaker intelligent regulation and control method based on target line state detection. The method includes S1, establishing a first corresponding relation model among a line diameter, a detection point distance and a temperature change range and storing the first corresponding relation model; S2, establishing a second corresponding relation model among the lengthof the line, the distance of the detection point and the temperature change range, and storing the second corresponding relation model; S3, collecting the diameter and length of the target line, andthe temperature at the first detection point and the second detection point; S4, searching the corresponding first temperature change range and the second temperature change range; S5, regulating andcontrolling the working state of the circuit breaker on the target line. The invention considers and sets a plurality of parameter reference models from the self-state of the line, In order to analyzethe influence of the line state on the overall temperature change of the line, and then through the analysis of the actual temperature on the line to determine the safety of the target line, directlyand quickly regulate and control the working conditions of the line so as to ensure the safety and stability of the line.

The invention discloses a computer room environment monitoring device and method. The monitoring device comprises a monitoring host, wherein the monitoring host is installed in a background monitoringchamber, a display screen is arranged on the monitoring host, alarming indicator lamps are arranged below the display screen, a core circuit board is arranged in an inner cavity of the monitoring host, heat dissipation grooves are formed in the two sides of the monitoring host respectively, a data transmission interface is arranged on one side of the monitoring host, and the monitoring host is connected with a monitoring sensor set in a computer room through gateway equipment. The computer room environment monitoring device is simple in structural principle and high in intelligence, high-precision monitoring of a computer room environment can be achieved, background real-time monitoring is facilitated, the monitoring cost is low, the labor cost is low, and the working efficiency is improved.

The invention belongs to the technical field of engineering monitoring, and particularly relates to a technology for engineering positioning and monitoring based on satellite navigation high-precision positioning and lora communication. An engineering positioning and monitoring system comprises a central communication box (CO box), wherein the CO box comprises a central control module, a wireless networking module, a data internet access module and a power supply module; a terminal control box (EN box), wherein the EN box comprises a central control module, a wireless networking module, a power supply module and three sensor data communication modules; a transfer box (RO box), wherein the RO box comprises a central control module, a wireless networking module and a power supply module 13; and a cloud service platform which is used for receiving, processing, analyzing and calculating all the uploaded data, carrying out data statistics and providing background data service. According to the design of the invention, a high-precision satellite positioning technology and a Lora wireless networking technology applied to an unmanned aerial vehicle are originally integrated and introduced into the field of engineering monitoring, and long-distance free networking, high-precision real-time data acquisition and cloud uploading are realized.

The invention relates to a device for installing an optical probe under high temperature and vibration conditions, which is used to improve the accuracy and stability of an aero-engine gas online detection technology, and belongs to the field of probe installation under high temperature and high vibration complex environments. The device of the invention includes two parts: a laser emitting device and a laser receiving device. The device of the invention has a precise platform, high precision, high temperature resistance and high-vibration complex environment, can improve measurement accuracy and accuracy, and can provide technical means for the application of spectral absorption technology in engine complex environments. Most of the devices of the present invention are installed in a vacuum and equipped with cooling and vibration damping devices, which can greatly reduce the influence of the external environment on the measurement results, reduce the diffusion of the engine combustion chamber temperature, avoid damage to the optical probe, and The offset of the optical system can be reduced, and the spectral absorption technology can be used to monitor the gas characteristics of the engine combustion chamber with high precision.

The invention discloses a multi-sensor intelligent monitoring system for visible light, temperature, humidity and toxic gas. The system comprises a digital controller, a light sensor, a temperature sensor, a humidity sensor, a toxic gas detector and an alarm, wherein the light sensor, the temperature sensor, the humidity sensor and the toxic gas detector are in signal connection with the digital controller, the alarm is in signal connection with the controller, the signal connection meets a communication protocol, and the controller is provided with an external terminal and an external interface. The light sensor is used for monitoring visible light at a dark place, the temperature sensor is used for monitoring a temperature value inside special equipment, the humidity sensor is used for monitoring a humidity value of a dry area, the external terminal is used for burning a control program, the external interface is used for connecting charging equipment and outputting a monitoring signal, and the toxic gas detector is used for monitoring toxic gas leakage in the environment. Various detection items are integrated, the detection precision is high, and a detection system is complex,stable and reliable.

The invention discloses a method for realizing high-rise deflection monitoring based on a laser spot center positioning mode. The method comprises the following steps: S1, calibrating a camera in an image acquisition system; S2, dismounting a checkerboard target, and mounting an optical screen, namely, a semitransparent acrylic plate, at a high position of a to-be-detected building; S3, capturing pictures with light spot position information in real time on the side, far away from the laser, of the acrylic plate by the camera, and transmitting the pictures to a computer terminal; and S4, the computer terminal analyzes the obtained pictures with the light spots. According to the invention, the laser, the CMOS camera, contour fitting and a template matching algorithm are combined to develop an online detection scheme of high-rise building deflection, and high-precision monitoring of high-rise building deflection is realized by utilizing the characteristic that the laser propagates along a straight line.

The invention relates to a monitoring device for a spherical array antenna, which includes an antenna array and a monitoring network. It is composed of patch antenna unit, microstrip feed network and metal ground connection. The monitoring network is composed of ball array, metalized via hole, strip transmission line and other connections; the advantage is that it effectively solves the problem that the existing antenna monitoring network cannot cover the outlet from the feeder To the problem of partial amplitude and phase of the antenna unit, the high-precision monitoring of the digital phased array radar antenna array is realized, and it can be widely used in the monitoring of the digital phased array radar antenna.