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 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 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 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 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 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 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 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.