188results about How to "Accurate acquisition" patented technology

The invention discloses an oil reservoir history fitting method based on graph lasso and set smooth multi-data assimilation, and relates to the technical field of oil and gas field development. The method comprises the following steps: firstly, acquiring to-be-optimized model parameters and observation data of a target oil reservoir, constructing an observation error covariance matrix and initializing a model parameter set, performing numerical simulation by utilizing an oil reservoir numerical simulator to obtain prediction data, constructing a joint state matrix, performing dimensionless standardization processing on the joint state matrix to obtain an empirical correlation coefficient matrix, and then, performing optimization on the joint state matrix. And executing a graph lasso algorithm combined with an extended Bayesian information criterion to obtain an optimal dimensionless sparse precision matrix, extracting correlation coefficient sub-blocks required by Kalman updating from the optimal dimensionless sparse precision matrix based on a Scherr's theorem, obtaining a robust data auto-covariance matrix through a reverse reduction physical quantity outline, calculating Kalman gain in combination with an observation error covariance matrix, and calculating a Kalman filter. And the model parameter set is updated until the preset condition is met, the reservoir history fitting model parameter set is output, and the stability and precision of reservoir automatic history fitting are improved.

The invention relates to the technical field of cattle and sheep grazing, in particular to electronic fence equipment with a cattle and sheep driving function and a using method, the electronic fence equipment comprises a mounting frame and further comprises a charging storage structure connected with the mounting frame, the charging storage structure comprises a charging cabinet, and multiple sets of neck-hung position indicators are movably mounted in the charging cabinet; the subpackaging moving structure is connected with the mounting frame, the subpackaging moving structure comprises a transverse moving mechanism, the transverse moving mechanism is connected with two groups of flying, hoisting and driving platforms, a synchronous lifting limiting mechanism is arranged below the transverse moving mechanism, the synchronous lifting limiting mechanism is connected with a soil-piercing supporting mechanism, and the synchronous lifting limiting mechanism is connected with a transfer communication camera mechanism. According to the invention, through the mutual cooperation of the charging storage structure and the split charging moving structure, the effect of independent networking is realized, the stability of positioning signal transmission is enhanced, and through the parallel positioning and camera shooting mode, digital and three-dimensional grazing is realized, so that more manpower is saved, and grazing personnel can obtain grazing information more easily.

The application relates to a component tilt detection method, device, system and readable storage medium. The method comprises the following steps: extracting a plurality of component images corresponding to components from a to-be-detected two-dimensional circuit board image of a to-be-detected circuit board, and extracting a first component point cloud matched with the plurality of component images from a to-be-detected three-dimensional point cloud of the to-be-detected circuit board; performing clustering processing on the to-be-detected three-dimensional point cloud to obtain a plurality of second component point clouds; detecting a target component type corresponding to the plurality of second component point clouds according to the component types corresponding to the plurality of component images and the matching degrees between the plurality of first component point clouds and the plurality of second component point clouds; for each component, generating tilt influence parameter information corresponding to the component based on the target component type and the second component point cloud, and performing tilt detection on the component according to the tilt influence parameter information. The method can accurately detect the tilt of the components on the circuit board.

The invention belongs to the field of automation control, and particularly relates to an automatic slag raking method and system for an induction furnace and a computer storage medium. The automatic slag raking method comprises the following steps: controlling a robotic arm to carry an image acquisition device to a detection point and obtain a fused image at an induction furnace mouth, wherein the fused image is obtained through image registration and fusion based on visible light and a thermal image; according to the fused image, identifying and segmenting a furnace mouth frame, a slag liquid mask area and a slag mask area based on a semantic segmentation model; if the slag liquid mask area is recognized, the average height of the liquid level and the average thickness of the slag are calculated based on the position coordinates of the furnace mouth frame in the image, the obtained first average depth of field corresponding to the slag liquid mask area and the obtained second average depth of field corresponding to the slag mask area; if the calculated average height of the liquid level is within a preset range and the average thickness of the slag is greater than a preset thickness threshold value, calculating a first furnace feeding height and a first initial material raking height according to the average height of the liquid level and the average thickness of the slag;

The invention provides a wall recognition method and a storage medium, and the method comprises the steps: dividing an indoor building region and a peripheral region, and processing the proportional scale information and wall feature information, so as to achieve the precise separation of the indoor building region and a peripheral irrelevant region, and prevent the interference information of the peripheral region from affecting the wall recognition process; automatic and accurate acquisition of the scale is realized by using natural reference scale features generally contained in a peripheral area, and extra manual labeling or intervention is not needed; vectorization data and thickness parameters of the wall are extracted in a targeted mode, and the integrity and accuracy of wall feature information are ensured; according to the method, the identification result of the wall is jointly determined based on the proportional scale information, the vectorized data and the thickness parameters, so that fusion application of multi-dimensional key information is realized, dimensions, forms and physical attributes required by wall identification are comprehensively covered, and the identification reliability in a complex environment is improved.

The invention relates to an intelligent robot grabbing method and device, electronic equipment and a storage medium. The method can comprise the following steps: acquiring multi-modal sensing information corresponding to a target capture scene; based on a multi-modal semantic analysis model, performing semantic analysis processing on the multi-modal perception information, and outputting semantic association information corresponding to the to-be-grabbed object; according to the semantic association information, determining a target grabbed object, a recommended grabbed point corresponding to the target grabbed object and a recommended grabbed strategy; on the basis of a grabbing pose prediction network, pose prediction processing is conducted on the recommended grabbing points, and robot grabbing pose information is obtained; according to the recommended grabbing strategy and the robot grabbing pose information, the target grabbing object is grabbed, and grabbing state parameters are obtained; and on the basis of the grabbing state parameters, the grabbing pose information of the robot is adjusted. According to the technical scheme provided by the invention, objects can be effectively prevented from sliding off, being damaged or colliding, and the intelligent level and the grabbing efficiency of the robot are improved.

The invention relates to the technical field of pollution detection devices, in particular to a waterfront water and soil loss non-point source pollution detection device and method.The waterfront water and soil loss non-point source pollution detection device comprises a water and soil loss monitor, the water and soil loss monitor is installed on a supporting plate, the supporting plate is in lap joint with the top of a ditch supporting plate, and wire bunching arms are rotationally connected to the two sides of the supporting plate; the surface of the bunching arm is provided with a bunching groove, the connecting end of the water and soil loss monitor is connected with a wire, one end of the wire is provided with a sensor probe, and the wire and the sensor probe both extend into the bunching groove; the device has the advantages that the bunching arms rotationally connected to the two sides of the supporting plate are ingenious in design, the bunching arms can swing downwards to the bottom of the ditch supporting plate, and a sensor probe installed at one end of a wire can extend into a ditch to detect a flowing water source. Meanwhile, the bunching groove formed in the surface of the bunching arm provides an ordered placement space for the wire and the sensor probe, and the wire bunching arm is fixed through the cooperation of the bunching groove and the hand-twisted screw, so that the wire and the sensor probe are effectively prevented from swinging under the impact of water flow.

This invention discloses a method for detecting and locating the smoke front in a highway tunnel fire, comprising: S1. performing data augmentation processing on the acquired fire smoke images to obtain an image dataset; S2. inputting the image dataset into a fire smoke detection network model for network model training to obtain a trained detection network model; S3. inputting the fire smoke image to be detected into the trained detection network model and outputting the fire smoke target area; S4. determining the position of the smoke front in the fire smoke target area; S5. determining the longitudinal distance between the smoke front position and the monitoring position. This invention can obtain richer subsequent disaster information and has high fire detection accuracy and timeliness.

This invention relates to a method and system for automated generation of TSN network configurations based on a reflective agent. The system comprises a network state perception and intent reflection module, a YANG model configuration parameter and structure decision module, and a YANG model intelligent generation module. The network state perception and intent reflection module is responsible for structurally perceiving network state and resource information. The YANG model configuration parameter and structure decision module integrates multi-source knowledge and contextual information, intelligently generating deployable TSN scheduling parameters and YANG configuration structures based on business needs. The YANG model intelligent generation module automatically generates the corresponding YANG configuration model based on the optimized results, performs syntax and semantic verification, and then distributes it to the target device, achieving automated deployment of network configurations. This invention significantly improves the intelligence level and deployment automation capability of TSN network configuration by introducing reflective reasoning and feedback optimization techniques.

This invention relates to the technical field of circuit breaker analysis, specifically to an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification. The system includes: a current analysis module for analyzing changes in current data of the circuit breaker at various monitoring times to obtain multiple opening and closing current characteristic indices; a temperature analysis module for analyzing changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices; an identification module for identifying at least one first index and at least one second index; a consistency analysis module for analyzing the consistency between the data sequences corresponding to the first index and the data sequences corresponding to the second index to obtain multiple time-related indices; and an opening / closing determination module for determining the monitoring time indicated by the current data corresponding to the largest time-related index as the opening / closing time of the circuit breaker. This invention enables accurate acquisition of the opening and closing time of the circuit breaker.

The application discloses a kind of InSAR and acoustic fusion's goaf left coal pillar stability comprehensive evaluation method, belong to the field of mine safety evaluation, including selecting SAR satellite suitable for mining area, obtaining SAR satellite image data of mining area, then carry out time series deformation analysis, obtain the deformation rate and cumulative deformation diagram of mining area, identify the subsidence abnormal area of mining area;Drilling is carried out in the coal pillar area of mining area, and ultrasonic logging device, interwell acoustic tomography system and acoustic emission monitor are laid out;Comprehensive analysis is carried out to all the data obtained, and a coal pillar stability evaluation model is constructed;Through coal pillar stability evaluation model, the coal pillar stability is classified, and the coal pillar instability risk is predicted.The application provides a kind of InSAR and acoustic fusion's goaf left coal pillar stability comprehensive evaluation method, which realizes high-precision evaluation of coal pillar stability by combining surface deformation monitoring and deep coal pillar structure detection.

The utility model relates to the field of metal welding piece detection, and discloses a steel structure welding quality compression resistance detection mechanism which comprises a bottom plate, a mounting structure is fixedly connected to the middle of the upper end face of the bottom plate, a driving structure is fixedly connected to the middle of an inner cavity of the mounting structure, and clamping structures are symmetrically connected to the inner cavity of the mounting structure in a sliding mode. The left side of the upper end face of the bottom plate is fixedly connected with a containing structure, a lifting structure is arranged in the middle of the upper end face of the containing structure, the sliding block moves to make the clamping plate and the fixing structure slide relatively, and the steel structure makes contact with the fixing column. When interaction force is generated between the fixing column and the steel structure, the fixing column can slide towards an inner cavity of the sliding groove, the fixing spring contracts, so that the steel structures of different shapes are clamped and fixed, meanwhile, through the telescopic characteristic of the spring, it can be guaranteed that stable clamping force can be provided on the surfaces of the steel structures of different shapes, and the clamping effect is good. And the steel structure is prevented from displacement in the subsequent detection process, so that the accuracy of the detection result is ensured.

The present application belongs to the technical field of port safety monitoring, and specifically relates to a method and system for identifying personnel approaching a cable launching area in a port, a terminal and a storage medium, which comprises selecting a fixed cable column of a port berth as a physical reference, using a high-resolution network camera to collect panoramic images of the port berth, using a pre-trained YOLOv8 deep learning model for multi-target segmentation, and performing secondary focusing identification to quickly and accurately identify personnel, cables, cable columns and ship outline targets, and by obtaining dynamic factors such as cable tension and ship docking angle, the reference radius of the dangerous area is corrected by combining the corresponding calculation formula, and a dynamic dangerous area polygon is generated, fully considering the dynamic changes of the port operation environment, which can update the dangerous area in real time, making the division of the dangerous area more in line with the actual situation, avoiding misjudgment and missed judgment due to the fixed dangerous area, and improving the accuracy and effectiveness of safety management.

This invention describes a magnetoresistive inertial sensor chip, comprising a substrate (101), a vibrating diaphragm (102, 102'), a magnetic field sensing magnetoresistor (105) and at least one permanent magnet thin film (108). The vibrating diaphragm (102, 102') is located on one side surface of the substrate (101). The magnetic field sensing magnetoresistor (105) and the permanent magnet thin film (108) are set on the surface of the vibrating diaphragm (102, 102') displaced from the base of the substrate (101). A contact electrode (106) is also arranged on the surface of the vibrating diaphragm (102, 102') away from the base of the substrate (101). The magnetic field sensing magnetoresistor (105) is connected to the contact electrode (106) through a lead (104). The substrate (101) comprises a cavity (103) formed through etching and either one or both of the magnetic field sensing magnetoresistors (105) and the permanent magnet thin film (108) are arranged in a vertical projection area of the cavity (103) in the vibrating diaphragm portion (102, 102'). A magnetic field generated by the permanent magnet thin film (108) changes in the sensing direction of the magnetic field sensing magnetoresistor (105) of magnetoresistive inertial sensor chip, which changes the resistance valve of the magnetic field sensing magnetoresistor (105), thereby producing a change in an output electrical signal. This magnetoresistive inertial sensor chip uses the high-sensitivity and high-frequency response characteristics of a magnetoresistor to improve the output signal strength and frequency response, thereby facilitating the detection of small and high frequency pressure, vibration, or acceleration changes.

This invention provides a comprehensive control method for the coaxiality of the wind tunnel loop, belonging to the field of wind tunnel construction technology. This invention calculates thermal deformation in real time by establishing a coupled temperature field and deformation field finite element model, and dynamically adjusts the density of measuring points using a three-layer multi-scale iterative leveling method to achieve efficient and accurate measurement. It uses the Jacobian mapping matrix and matrix pseudo-inverse operation to solve the optimal support point adjustment amount, and introduces a torque sensor and hydraulic jack in the corner section to form a closed-loop control system to dynamically balance the torsion angle. This solves the technical problem of the difficulty in achieving full-scale accurate coaxiality control of the wind tunnel loop under the coupling effect of multiple physical fields.

The utility model discloses an overhead line system image acquisition device capable of resisting sunlight interference, which belongs to the technical field of railway overhead line system detection, and comprises a modulation laser light source for emitting a specific wavelength modulation light pulse of a non-sunlight main energy wave band, and cameras respectively arranged on two sides of the modulation laser light source, and a narrow-band optical filter which is matched with the modulation laser light source and can pass through optical signals with specific wavelengths is additionally arranged on the camera. A narrow-band optical filter is additionally arranged on a device (namely a camera) for acquiring an image, so that only an optical signal with a specific wavelength can enter the camera through the narrow-band optical filter, and the optical signal with the specific wavelength is an optical signal of a non-sunlight main energy wave band; therefore, based on the additional arrangement of the narrow-band optical filter, the image acquired by the camera can be prevented from being interfered by light in a strong sunlight environment.

The present application relates to the technical field of hydraulic engineering and river dynamics, and discloses a bed sand gradation file splicing method and device, an electronic device and a storage medium, the method comprising: determining a region to be studied, dividing the region to be studied into a plurality of grids, and layering the grids according to a preset step size downward along the ground surface to obtain a plurality of regional nodes; acquiring bed sand gradation data collected at different depths in different geomorphic regions in the region to be studied; mixing the bed sand gradation data of different depths in different geomorphic regions according to the preset step size to obtain bed sand gradation data of different layers in different geomorphic regions; and matching bed sand gradation data for each regional node according to the type of the geomorphic region corresponding to each regional node and the layer in which each regional node is located to obtain a bed sand gradation file for the region to be studied. The present application splices bed sand gradation files of different geomorphic types, thereby quickly generating a complete bed sand gradation file suitable for a two-dimensional water and sediment model.

The invention provides a position monitoring system for a nuclear instrument of a nuclear power plant and an arrangement method. The position monitoring system comprises a guide cylinder, a first position monitoring unit, a second position monitoring unit and an upper computer. The guide cylinder is pre-buried at the periphery of a reactor pressure vessel, and a mounting channel for nuclear instruments to pass through is arranged in the guide cylinder; the first position monitoring unit is used for monitoring the current position of the nuclear instrument in real time, is arranged on the side wall of the guide cylinder and corresponds to the upper side of the working position of the nuclear instrument; the second position monitoring unit is used for monitoring the current position of the nuclear instrument in real time, is arranged on the side wall of the guide cylinder and corresponds to the lower side of the working position of the nuclear instrument; and the upper computer is in communication connection with the first position monitoring unit and the second position monitoring unit and is used for acquiring the current position of the nuclear instrument monitored by the first position monitoring unit and the second position monitoring unit in real time. The nuclear instrument installation precision requirement can be met, and the arrangement efficiency is improved.

The utility model relates to the technical field of detection, and provides a pipeline inner wall defect detection device which comprises a frame used for moving in a pipeline, wheels arranged in a swinging mode relative to the frame, after the wheels are configured to swing, the axes of the wheels are perpendicular to the axis of the pipeline, a detection adjusting frame is arranged on the frame, and the detection adjusting frame is arranged on the frame. The detection adjusting frame comprises a fixing piece which is arranged in a swinging mode, and the detection device is arranged on the fixing piece. By means of the technical scheme, the technical problem that in the prior art, defect detection of the inner wall of a small-pipe-diameter pipeline is inconvenient is solved, and damage detection of the small-pipe-diameter inner wall is achieved.

The present application provides a kind of low load under coal mill outlet wind powder temperature regulating system and method, including temperature sensor group, flow sensor, coal dust concentration sensor, temperature regulating device and control unit, wherein: temperature sensor group is used to measure the wind powder temperature of different positions of coal mill outlet pipeline;Flow sensor is used to measure the wind powder flow of different positions of coal mill outlet pipeline;Coal dust concentration sensor is used to detect the coal dust concentration in the coal mill outlet pipeline;Temperature regulating device is used to adjust the wind powder temperature of coal mill outlet pipeline;Control unit is used to receive the signal of temperature sensor group, flow sensor, coal dust concentration sensor, calculate temperature regulating amount and output signal to temperature regulating device to the wind powder temperature of coal mill outlet.The present application ensures that the wind powder temperature of coal mill outlet is stable near the target value, improves the combustion efficiency, and ensures the stable operation of the entire thermal system.

The invention relates to the technical field of flux component determination, in particular to a method for determining the content of calcium fluoride in flux for corrosion-resisting steel through ion chromatography. The invention discloses a method for measuring the content of calcium fluoride in welding flux for corrosion-resisting steel through ion chromatography. The method comprises the following steps: S100, preparing a sample to be measured; s200, pretreating a to-be-detected sample, and preparing a diluted filtrate; s300, setting working parameters of the ion chromatograph; s400, calibrating an instrument, and determining by adopting an ion chromatograph; and S500, measuring the calcium fluoride content of the to-be-measured sample. The method for determining the content of calcium fluoride in the flux for corrosion-resisting steel through ion chromatography has the advantage that the welding quality is guaranteed. And the welding flux does not need to be subjected to experimental detection before welding, so that the welding flux is saved.

This utility model discloses an explosion-proof low-temperature evaporator, comprising: a frame and an evaporator tank, a condenser, an air-cooled condenser, a heat pump, and a PLC controller mounted on the frame, all installed inside the frame. The evaporator tank is equipped with a heat exchange device to heat and evaporate the waste liquid, and the condenser is connected to the evaporator tank to condense the steam. Simultaneously, the air-cooled condenser cools the high-temperature, high-pressure refrigerant discharged from the heat exchange device and delivers the refrigerant to the condenser. The heat pump then receives the refrigerant flowing from the condenser, heats and pressurizes it, and then delivers it to the heat exchange device. A pressure sensor is installed in the pipeline, and the PLC controller is connected to the pressure sensor and the heat pump, controlling the start and stop of the heat pump based on the pressure data. This utility model can reduce the water content of residual concentrated waste liquid and reduce the safety hazard of explosions caused by high pressure in the evaporator.

The application relates to the technical field of detection equipment, in particular to a cable aging degree detection device which comprises a detection unit, a winding unit and a transmission assembly. The detection unit comprises a shell, an infrared thermal image detection assembly arranged in the shell, a heating assembly arranged in the shell and a gas detection assembly arranged in the shell. The winding unit comprises a transmission assembly, a rotating assembly arranged on the transmission assembly and a cover plate which can be detachably arranged on the rotating assembly. The detection unit is used for detecting the aging degree of the cable. The winding unit is used for automatically winding the detected cable. The cable aging degree detection device can comprehensively detect the aging degree of the cable, and the non-contact precise detection and the automatic winding design improve the detection effect and the work efficiency.

The utility model discloses a safety detection device for gas cylinder water pressure front and back axial radial deformation, which comprises a detection tool main body and a gas cylinder body arranged in the detection tool main body, the upper part of the detection tool main body is connected with an upper cover through a fixing assembly, and the top of the upper cover is provided with an adapter which can be connected with a gas cylinder. The utility model relates to the technical field of gas cylinder detection, according to the detection device, the gas cylinder is completely placed in the detection tool main body, the gas cylinder in a high-pressure state does not need to be close to, and compared with traditional manual measurement, the detection device has the advantages that the detection efficiency is greatly improved, and the detection cost is reduced. The safety risk faced by operators is greatly reduced, and the safety and reliability of the measurement process are improved; the linear displacement sensor is matched with the digital display instrument for measurement, the measurement precision can reach 0.01 mm, data of axial radial deformation before and after water pressure of the gas cylinder can be accurately obtained, and a reliable basis is provided for safety assessment of the gas cylinder.

The application discloses a scoliosis detection method, computer equipment and a storage medium, wherein the method comprises the following steps: training a preset recognition network model by using a data training set to obtain a pre-training recognition network model, wherein the training adopts a loss function provided with a regularization penalty term based on an anatomical prior constraint; recognizing a spine image by using the pre-training recognition network model to obtain corner points of each vertebra in the spine; and calculating a Cobb angle of the spine according to the corner points. The technical scheme provided by the application can improve the accuracy of the obtained Cobb angle.

This application discloses a vehicle control method, device, vehicle, and readable storage medium. The method includes: during vehicle operation, determining whether there is a neighboring vehicle in the adjacent lane that meets preset conditions, wherein meeting the preset conditions includes: the size of the neighboring vehicle is greater than a preset size and the longitudinal distance between the neighboring vehicle and the vehicle is less than a first preset distance; if there is a neighboring vehicle that meets the preset conditions, controlling the vehicle speed to be less than the speed of the neighboring vehicle that meets the preset conditions. The method of this application improves the safety of vehicle operation.

The invention discloses a surgical specimen box facilitating classified storage, and relates to the technical field of surgical specimen storage devices.The surgical specimen box comprises a main body mechanism, the main body mechanism comprises small specimen boxes, the tops of the small specimen boxes are fixedly connected with large specimen boxes (12), and inner cavities of the small specimen boxes are slidably connected with specimen drawers; a plurality of placement grooves are formed in an inner cavity of the specimen drawer, the tops of the placement grooves make contact with sealing covers in a magnetic attraction mode, and a liquid injection mechanism is arranged in the large specimen box (12). According to the operation specimen box facilitating classified storage, through the arrangement of the liquid injection mechanism, the highest position of a specimen can be accurately obtained, and automatic injection of stationary liquid and accurate control of the liquid level of the stationary liquid are achieved; therefore, the operation of manually measuring the size of the specimen and manually injecting a large amount of stationary liquid by an operator is avoided, the health of the operator is guaranteed, and the storage efficiency of the specimen is improved.

The utility model provides an environment monitoring device for tunnel safety, which comprises a shell, an air inlet flow channel, a semiconductor detection unit, a control panel and a power supply module, the outer wall of the air inlet flow channel is in a circular truncated cone shape and can gather and accelerate air flow, so that the semiconductor detection unit can obtain gas data more efficiently and accurately, and the detection efficiency and sensitivity are improved; in the filter piece connected with the air inlet flow channel, the filter screen can intercept impurities, pollution to the detection unit, influence on result accuracy and reduction of element loss are avoided, and the threaded connection of the connecting cylinder facilitates maintenance; the anti-vibration pad at the bottom of the shell supports the air inlet channel, external vibration influence is reduced, looseness of internal components is reduced, and stable work of the device is guaranteed; the warning lamp is electrically connected with the controller and the like, and warning signals can be sent out in time when abnormity is detected, so that rapid processing is facilitated, and the early warning capacity is improved. According to the device, efficient and accurate detection, stable operation and timely early warning are realized, and the tunnel safety monitoring level is improved.

The utility model relates to seepage monitoring equipment field discloses a large -scale water conservancy project seepage real -time monitoring system, including monitoring support, the top fixed mounting of monitoring support has the equipment box, the top fixed mounting of equipment box has solar panel, the bottom fixed mounting of equipment box has two cable. The utility model has the following advantages and effect: can when installing the osmotic pressure sensor, make six linkage support one side's antiskid rubber pad and borehole inner wall close and touch, realize firm fixation, ensure that sensor can accurate measurement concrete dam body inside water pressure, and not easy to slip, strengthened the stability of equipment, and the fixing mode of osmotic pressure sensor and the mode that seepage detection pipeline is through hall sensor and captures the magnetic field change that impeller rotates produces to derive flow, all can more accurate acquisition data, reduce the data error that causes installation or environmental factor, improved the accuracy and reliability of data.

The utility model discloses an inspection robot high-precision stereoscopic visual perception system which comprises a shell, a data analysis and processing device is installed in the shell, an induction radar, a depth camera and a pan-tilt camera are arranged on the shell, and the relative positions of the induction radar, the depth camera and the pan-tilt camera are kept unchanged. The induction radar and the depth camera are arranged in front of the shell and used for detecting objects in front of the inspection robot and generating images to guide the inspection robot to move, the pan-tilt camera is arranged at the top of the shell and used for collecting reading information of an instrument panel, and the induction radar, the depth camera and the pan-tilt camera are connected with the data analysis and processing device. The sensing radar and the depth camera are used for collecting data for real-time processing and analysis, a three-dimensional space map can be rapidly constructed, the inspection robot can flexibly avoid various obstacles and efficiently and safely shuttle among all devices, and therefore the cloud deck camera is used for collecting reading information of an instrument panel, and the inspection efficiency is improved. And the inspection task is automatically and efficiently completed.