4015results about "Measurement apparatus components" patented technology

The invention discloses a bridge health prediction device based on a Beidou system and a monitoring analysis method, and relates to the field of bridge health monitoring. The method comprises the following steps: S1, deploying monitoring points at key structure nodes of a bridge, and collecting three-dimensional position information and multi-source data by using a Beidou system and a multi-type sensor; s2, constructing a time-varying displacement field and a continuous deformation tensor, fusing stress and strain to construct a structural fatigue factor, and introducing environmental disturbance to realize dynamic correction of the fatigue factor; s3, a health state function is constructed based on the stress response, the displacement gradient and the deformation tensor, a damage mapping function is constructed in combination with accumulated deformation and a historical threshold value, and a damage thermodynamic diagram is generated; and S4, finally fusing fatigue, health and damage indexes to evaluate bridge risks, and performing dynamic early warning. Through fusion of mechanical tensor features and environmental disturbance modeling, a multi-index linkage fatigue and damage assessment mechanism is constructed, and the precision, robustness and global perception ability of bridge health monitoring are improved.

The invention provides an indoor environment monitoring method and system integrating temperature and humidity, and is applied to the field of sensing data processing. According to the method, the reading difference of the temperature sensor is collected, whether local deviation exists or not is judged, the arrangement type of the sensor is combined, a low temperature value generated by the wall-leaning sensor due to the cold bridge effect is dynamically compensated, misjudgment of an environment system is avoided, and the human body temperature is introduced as a sensing reference by constructing a temperature difference deviation function. According to the method, comprehensive temperature indexes closer to real experience can be generated, when abnormal fluctuation is detected, the space structure and heat source information are further combined, boundary conditions are constructed, dynamic heat flow and temperature and humidity distribution diagrams are simulated, temperature sensing deviation is effectively and reversely corrected, the precision, stability and energy-saving performance of an environment adjusting system are remarkably improved, and the comfort degree of a human body is improved.

The invention relates to a high-precision data acquisition method and system for an MEMS sensor, and the method comprises the following steps: carrying out the multi-channel parallel sampling of an initial electric signal outputted by the MEMS sensor, and obtaining an original data flow matrix; performing adaptive denoising processing on the original data stream matrix to obtain a denoised data set; performing signal phase reconstruction on the noise reduction data set through a phase unwrapping technology to obtain a continuous phase feature sequence; performing dynamic drift compensation on the continuous phase feature sequence to obtain a calibration signal vector; performing transient characteristic extraction on the calibration signal vector to obtain a sensor response characteristic curve; and performing high-precision data resampling on the sensor response characteristic curve based on an adaptive quantization coding technology to obtain a high-precision data acquisition result, thereby solving the technical problem of how to effectively remove noise interference generated in a multi-channel parallel sampling process.

The invention discloses an equipment health state dynamic prediction method fusing digital twinning and multi-scale evaluation, and relates to the technical field of equipment health prediction of an active launching platform, and the method comprises the steps: laying multiple types of sensors on a mechanical structure layer, a hydraulic execution layer, an electric control layer and an environmental action layer of the active launching platform; multi-source operation data such as stress strain, pressure torque, temperature power and environment load are collected in real time, and a standardized input parameter set is formed; and constructing a multi-layer digital twinborn model, forming a multi-scale twinborn mapping matrix, calculating a healthy coupling evolution coefficient, and evaluating the stability of the multi-layer collaborative structure of the platform. Calculating a multi-scale stability coefficient, and updating the multi-scale twin mapping matrix; and calculating a dynamic prediction driving index to realize prediction reliability judgment and digital twin model self-learning updating. And a health prediction closed loop of digital twinning and physical equipment is realized.

The invention relates to a shear-based acceleration and pressure composite sensor and an assembly method thereof, and belongs to the field of composite sensors. According to the technical scheme of the acceleration and pressure composite sensor based on the shear type structure, an acceleration detection module comprises a mass block of a regular polygon prism structure, and each side face of the mass block is provided with an acceleration sensitive ceramic piece; the pressure detection module comprises a force transmission column of a regular polygon prism structure, and each side face of the force transmission column is provided with a pressure sensitive ceramic piece, an electrode piece and an insulation block. According to the scheme, the sensitive elements of the acceleration sensor and the pressure sensor core are arranged in a polygonal mode to form a spatial three-dimensional structure, the effective area of the sensitive elements in unit volume is increased, the multiple sensitive elements act together to form superposition of pressure signals, the detection precision and sensitivity of the two are guaranteed, and the detection precision is improved. Therefore, the overall size of the composite sensor is greatly reduced on the premise that the original precision is maintained, and the composite sensor is miniaturized.

The invention discloses a double-rocker-arm derrick monitoring system based on multi-sensor data fusion, and particularly relates to the field of monitoring, which comprises a sensor module, a data preprocessing module, a data fusion analysis module, a state evaluation module and a visual terminal module, parameters of the double-rocker-arm derrick are monitored in real time through the sensor array, multi-source data synchronization and feature extraction are achieved in combination with the data preprocessing module, multi-modal data fusion is conducted through the improved D-S evidence theory, and the structure health index, the risk level and the fault probability are output; the state evaluation module generates three-level early warning signals based on a dynamic threshold model, historical data is compressed and stored and supports cloud synchronization, and the visual terminal renders a three-dimensional digital twinborn model through Unity 3D, dynamically displays postures, deformation fields and environmental factors, provides an interactive evaluation report and AR early warning annotation, and realizes whole-process real-time monitoring and intelligent decision support.

The invention provides a decoupling and Kalman filtering temperature strain demodulation method and system for double fiber gratings, and relates to the technical field of optical fiber sensing. The method comprises the following steps: firstly, designing an FBG sensing module for measuring environment temperature change and strain information; the FBG sensing module comprises a two-channel sensing system composed of an FBG1 sensor and an FBG2 sensor, and is used for measuring environment temperature change and strain information at the same time. Then, aiming at optical signals which are acquired by the two FBG sensors and contain physical quantity information, a wavelength demodulation module is used for acquiring the central wavelength drift distance of reflection spectrums of the two FBG sensors; temperature sensitivity coefficients and strain sensitivity coefficients of the two FBG sensors are obtained, and a linear equation set is constructed for independent variation of temperature and strain to perform matrix decoupling so as to distinguish the influence of the temperature and the strain on the change of the central wavelength; and performing optimization estimation on the decoupled temperature and strain by using the prior information of the temperature and the strain and combining a real-time measurement value by adopting a Kalman filtering method.

The invention relates to an intelligent soft rock tunnel surrounding rock deformation automatic monitoring and early warning system, and belongs to the field of tunnel construction safety monitoring. According to the system, multi-source data of surrounding rocks are synchronously acquired through a micron-sized laser displacement sensor, a fiber grating strain sensor, a pore water pressure sensor and a three-dimensional micro-seismic sensor array which are distributed; the edge calculation node fuses the data in real time and calculates the displacement rate, the strain gradient and the osmotic pressure coupling coefficient, and local early warning is triggered in combination with a dynamic threshold value; the cloud early warning platform predicts a deformation trend based on an LSTM-Transform fusion model, generates a multi-stage early warning signal through a risk grading engine, and is linked with the supporting equipment to regulate and control pressure; and meanwhile, a self-calibration device, an explosion-proof shell and a piezoelectric-thermal energy self-powered system are integrated. According to the method, closed-loop control from millimeter-level deformation sensing to active supporting can be achieved, and tunnel construction safety is remarkably improved.

To provide an information collection device and a battery pack which improve the sealing performance of a signal collection device.SOLUTION: The present disclosure relates to the field of battery technologies, and provides an information collection device and a battery pack. The information collection device includes a casing, an air pressure sensor, and a sealing member. The casing has a first installation hole. The air pressure sensor is installed inside the casing, and at least a part of the air pressure sensor is snap-fitted into the first installation hole to acquire an air pressure parameter outside the casing. The sealing member seals the first installation hole, and the sealing member is used to allow gas to pass through and prevent liquid from passing through. Thereby, the information collection device can be arranged in a battery cell, and can collect information in an environment of electrolyte, thus capable of mitigating the technical problems of complex structure and insufficient reliability of a cover plate of the battery cell caused by external arrangement of the information collection device.SELECTED DRAWING: Figure 1

The invention relates to the technical field of channel environment monitoring, and discloses a channel environment safety monitoring and early warning method and system based on multi-sensor fusion, which align visible light video, infrared thermal imaging, gas and vibration sensor data through space-time reference to ensure isomerous data synchronism and space consistency. Modal exclusive time sequence feature extraction is carried out, and unique space-time mode information is mined. A context sensing mechanism is introduced, key information such as an operation and maintenance plan is intelligently extracted in combination with a current environment state, dynamic weighting and deep fusion are performed on multi-sensor time sequence features through an attention fusion mechanism, and the importance of different sensor features is adaptively adjusted. And finally, inputting the fused channel environment state into a feedforward neural network model, and outputting an event probability and a risk score. Therefore, safety monitoring accuracy and reliability are remarkably improved, false alarms are reduced, potential safety hazards are recognized in advance, quantitative decision basis is provided, and continuous and safe operation of a channel environment is guaranteed.

The invention discloses a real-time monitoring device based on intelligent agriculture in the technical field of agricultural Internet of Things, comprising a stand column, a connecting block is fixedly mounted below one side surface of the stand column, a sliding groove is formed in one side surface of the connecting block, and a screw rod is vertically and rotatably connected to the inner side of the sliding groove; the top end of the lead screw extends to the position above the outer end of the connecting block, the surface of the lead screw is in threaded connection with a connecting rod in a sleeving mode, the connecting rod is arranged in the sliding groove in a sliding mode, a soil parameter sensor module is fixedly installed at the end of the connecting rod, and the bottom of the soil parameter sensor module is sequentially connected with a humidity probe, a temperature probe and an EC value probe. A main control box is fixedly installed on one side of the stand column, an air temperature and humidity sensor is fixedly installed on the outer side surface of the main control box, the monitoring device can obtain three-dimensional data of soil, air environment and crop growth at the same time, and therefore precise agricultural decision can be better supported.

The invention relates to the technical field of evaluation and real-time optimization systems, and discloses a deep fluidized mining dynamic disaster prevention and control effect intelligent evaluation and real-time optimization system which comprises a data acquisition module used for acquiring monitoring data in real time through a multi-source sensor network arranged in a stope, a fluidized medium and surrounding rock, and an intelligent analysis module used for analyzing the monitoring data in real time. And the construction module is used for constructing a comprehensive evaluation index system comprising a statics index, a dynamics index and a stability index based on the monitoring data. The intelligent evaluation and real-time optimization system for the dynamic disaster prevention and control effect of deep fluidized mining breaks through the limitation of traditional single index evaluation, constructs a comprehensive evaluation index system covering statics, dynamics and stability by integrating stress, microseismic, acoustic emission, displacement and other multi-source sensor networks, and improves the dynamic disaster prevention and control effect of deep fluidized mining. A deep learning model is used for carrying out fusion analysis on mass heterogeneous data, and multi-dimensional precursor information of disaster inoculation can be disclosed.

The invention discloses a leveling device and leveling equipment, relates to the technical field of mine blast hole environment detection, and aims to solve the technical problem that the accuracy of a detection result is affected as an existing hole environment detection device is easily in an inclined state during use. The leveling device comprises a base, an adjusting assembly, a mounting frame, a gradienter and a control module, wherein the adjusting assembly is connected with the base; the mounting frame is connected with the hole environment detection device, the gradienter is arranged on the mounting frame, and the mounting frame is in transmission connection with the adjusting assembly; the control module is electrically connected with the gradienter and the adjusting assembly. The leveling device is connected with the hole environment detection device through the mounting frame, the control module can automatically drive the adjusting assembly to adjust the space posture of the mounting frame according to the deflection angle data fed back by the gradienter, it is ensured that the mounting frame is always kept in the horizontal state, and the posture of the hole environment detection device is synchronously corrected; and the detection result accuracy of the hole environment detection device is improved.

The invention provides a force and acceleration composite sensor with a calibration function and a working method, and belongs to the field of composite sensors, the force and acceleration composite sensor with the calibration function comprises a test base, the test base is provided with a test through hole, and the test through hole is provided with a mounting hole; a pressure sensitive diaphragm II and a pressure monitoring core body are mounted in the mounting hole; an impact head limiting and fixing upper base is mounted on the test base, an impact head is mounted in a sliding through hole of the impact head limiting and fixing upper base, a first pressure sensitive diaphragm is arranged at the lower end of the impact head, and an acceleration monitoring core body is mounted at the lower end of the first pressure sensitive diaphragm; a third pressure sensitive diaphragm is installed at the bottom of the test through hole, a calibration base is arranged at the lower end of the test base, a calibration groove is formed in the calibration base, and a standard pressure sensor and a tested pressure sensor can be installed on the side wall of the calibration groove. The device has the beneficial effects that the device has multiple advantages of synchronous monitoring of force and acceleration, flexible impact resistance and integrated calibration.

The utility model discloses a granary temperature and humidity monitoring device, which comprises a granary body, a monitoring structure is arranged on the top surface of the inner side of the granary body, and relates to the technical field of temperature and humidity monitoring. A longitudinal screw rod module works and is connected with a connecting assembly to drive a connecting block and a temperature and humidity sensor on the connecting block to longitudinally move; temperature and humidity detection is conducted on the longitudinal position in the granary body, the longitudinal lead screw module is driven to transversely move through work of the transverse lead screw module, and therefore a temperature and humidity sensor moves in the working direction of the transverse lead screw module, and temperature and humidity detection is conducted on the plane where the different longitudinal positions in the granary body are located; and the transverse screw rod module is driven to rotate to perform temperature and humidity detection on different positions of a plane where different longitudinal positions in the granary body are located, so that the comprehensiveness of temperature and humidity detection is ensured, and the detection quality is ensured.

The utility model relates to a submarine cable state on-line monitoring system, which belongs to the technical field of cable protection equipment and comprises a submarine cable temperature monitoring module, a submarine cable breakdown fault response module, a submarine cable surrounding environment monitoring module, a marine monitoring ship body, a submarine cable environment display module and a submarine cable GIS module. Two supports are fixedly installed at the top end of the marine monitoring ship body, and a wireless signal transceiver is fixedly installed at the top of the marine monitoring ship body. The device has the beneficial effects that the two U-shaped frames can be driven to move in the same direction or opposite directions through the rotation of the two-way screw rod, and then the canopy outside the U-shaped frames can be driven to unfold, so that each part on the marine monitoring ship body is prevented from being eroded by rainwater or severe weather, and the service life of the marine monitoring ship body is prolonged. And therefore, protection can be provided for components on the marine monitoring ship body, and the service life of the components on the marine monitoring ship body can be prolonged.

The invention relates to the technical field of industrial equipment state monitoring, in particular to an equipment state monitoring method and system based on automatic working condition calibration and multi-dimensional signal analysis. The full-link automatic closed-loop monitoring of the equipment operation state from calibration to diagnosis to abnormal response is realized, the real-time performance, accuracy and intelligent level of the equipment state monitoring process are remarkably improved, the problems of inaccurate working condition identification, single feature analysis dimension and insensitive abnormal state identification in the prior art are solved, and the method is suitable for popularization and application. The operation reliability of the equipment is practically improved, and the fault risk and the maintenance cost are reduced.

The utility model discloses a surface mine high and steep slope monitoring device and belongs to the technical field of slope monitoring. The surface mine high and steep slope monitoring device comprises a base, the upper surface of the base is fixedly connected with a fixing rod in a penetrating mode, and the top end of the fixing rod is electrically connected with front-end data monitoring equipment. The front-end data monitoring device comprises a surface deformation monitoring device, a deep deformation monitoring device, a blasting vibration monitoring device, an underground water level monitoring device and a settlement monitoring device. Front-end data monitoring equipment is used for monitoring the deformation condition of the whole surface of a side slope, the inclination angle acceleration multifunctional instrument is installed on the side slope boulder outburst dangerous rock mass to monitor the stability condition of the side slope boulder dangerous rock mass, and the inclination angle acceleration multifunctional instrument assists in monitoring the development condition of side slope cracks and is arranged on the penetrating edge at certain intervals through deep clinometers. Monitoring the slippage condition of the fault zone in the drill hole of the potential fault zone of the slope, aiming at the surface mine slope subjected to blasting mining, mounting and arranging along a slope top platform according to a certain interval, and monitoring the overall damage degree of blasting operation to the mine slope.

The invention discloses a three-magnification double-telecentric light path object detection system and method. A detection part is arranged between a light source module and an object space telecentric light path module; the light source module comprises a white light annular LED array light source set and an adjustable grating arranged on one side, and a light uniformizing piece is arranged in the white light annular LED array light source set. Light emitted by the array light source group is homogenized by the built-in light homogenizing sheet and then forms uniform light beams through the adjustable diaphragm, and the uniform light beams are projected to the surface of a detection part; a light path switching mechanism is arranged on one side of the object space telecentric light path module, and the object space telecentric light path module comprises a low-magnification object space light path, a medium-magnification object space light path and a high-magnification object space light path; the light path switching mechanism is used for switching any one of a low-magnification object space light path, a medium-magnification object space light path and a high-magnification object space light path to enable light rays to be projected to the beam splitter prism, ambient light is removed through the beam splitter prism, and the transmitted light rays are transmitted towards an image space telecentric light path to enable the light rays to be projected to the industrial camera for imaging.

The invention provides a multi-sensor fusion detection method and system for the tail end of a mechanical arm, and belongs to the technical field of robots, and the method comprises the steps: carrying out the environment monitoring of a region to form a three-dimensional grid space, and obtaining the coordinate information of the mechanical arm, a to-be-detected target and an obstacle; planning a mechanical arm path by referring to the shapes and spatial position parameters of a to-be-detected target and an obstacle; the multiple sensors are all moved outwards from the interior of the mechanical arm, and the positions and angles of the multiple sensors are independently controlled, so that the multiple sensors act on the to-be-detected target for detection; adjusting the angle and position of the tail end of the mechanical arm to compensate the detection deviation according to the characteristics of the to-be-detected target in the grid space; and the tail end of the mechanical arm is controlled to move according to the shape of the to-be-detected target, so that the plurality of sensors sequentially act on each detection position of the to-be-detected target. According to the multi-sensor fusion detection method for the tail end of the mechanical arm, the dimensionality and accuracy of detection data are improved, and the detection difficulty is reduced.

The invention provides a laying tool, a laying method and a recovery method for a sailing type temperature-salinity-depth detector, and the tool comprises a tow fish which is provided with an attitude sensor on the surface of a housing and is used for detecting the pitch angle of the tow fish; the throwing frame is installed on the ship body and used for guiding the laying path of the tow fish; the winch is installed on a ship afterdeck or in a cabin, and the tow fish is hung through a mooring rope. Wherein an executing mechanism of the winch is in communication connection with the attitude sensor and is configured to respond to an attitude signal generated when the tow fish enters water and drive the tow fish to be adjusted to be in a vertical state; and driving the tow fish to be adjusted to be in a horizontal state in response to a posture signal when the tow fish is out of water. The laying tool provided by the invention is suitable for various laying scenes, realizes automatic posture adjustment of the tow fish when the tow fish enters and exits water, improves the automation degree and safety of operation, avoids human interference, and is beneficial to improving the measurement precision of the temperature-salinity-depth sensor.

The invention provides an imaging optical system for industrial visual inspection, which is characterized in that a first lens is mainly composed of nine lenses and has focal power, the object side surface of the first lens is a convex surface, and the image side surface of the first lens is a concave surface; the second lens has focal power; the third lens has focal power; the fourth lens has focal power; the fifth lens has positive focal power; the sixth lens has focal power, and the object side surface of the sixth lens is a convex surface; the seventh lens has focal power, and the object side surface of the seventh lens is a concave surface; the eighth lens has focal power; and the ninth lens has positive focal power, the image side surface of the ninth lens is a convex surface, and through the combination design of nine lenses and the reasonable configuration of the refractive power and the surface type of each lens, high-resolution imaging under a compact structure and a large aperture is realized, the aberration correction capability is particularly enhanced, and a relatively high MTF value is ensured in the whole zoom range. Accuracy and reliability of industrial detection are remarkably improved, and the system has the advantages of zooming, low distortion and low cost.

The invention relates to the technical field of circuit breaker state monitoring, in particular to a digitization-based movable circuit breaker operating mechanism monitoring device, which comprises a multi-node signal acquisition monitoring force, speed, displacement, vibration and environmental data, classification and integration to generate multi-source signals, analysis of impact starting, action and recovery stage identification key areas, and analysis of the impact starting, action and recovery stage identification key areas. Combining the environment signal correction force and vibration characteristics, extracting correction characteristics, identifying and adjusting abnormal deviation, and evaluating action coordination and stability to generate a state report. According to the invention, signals of displacement, force, speed, vibration and the like during operation of the circuit breaker are acquired in real time through multiple sensors, and the equipment state is analyzed comprehensively and accurately. Vibration and force signals are analyzed in stages, the impact process is divided into three stages of starting, acting and recovering, and an influence area is accurately positioned. Interference of temperature and humidity on signals is corrected, and data accuracy is ensured. The equipment is adjusted to a standard range according to the deviation, thereby reducing abnormal and fault risks, and improving the stability and reliability of the equipment.

The invention relates to the technical field of data processing, and discloses a working state remote monitoring method and system for a photoelectric imaging assembly. The method comprises the following steps: carrying out structured processing on multi-source data of a photoelectric imaging assembly to obtain a standardized data set, extracting a working state feature vector by adopting a variational auto-encoder, identifying a real-time working state through a multi-modal fusion algorithm, carrying out predictive fault diagnosis by utilizing a time sequence analysis network, and carrying out fault diagnosis. And remote transmission and decision support are realized based on a distributed architecture, and a remote monitoring result of the photoelectric imaging assembly is finally obtained. The technical problems of insufficient multi-modal data fusion, lack of predictive fault diagnosis capability and low distributed monitoring processing efficiency in the existing photoelectric imaging component monitoring technology are solved, and the accuracy and intelligent level of monitoring the working state of the photoelectric imaging component are improved.

The invention belongs to the technical field of laser sensing metering equipment, and discloses a degree-of-freedom pose adjustment laser sensor fixing plate which comprises a laser sensor and further comprises a multi-axis position adjustment mechanism connected with the laser sensor and used for adjusting and controlling the spatial position of the laser sensor; the gas guide sleeve is sleeved on the periphery of the heat dissipation opening on at least one side of the laser sensor; and the rotary impeller is rotatably arranged in the air guide sleeve. Airflow guided into the air guide sleeve through the air guide channel drives the rotating impeller to rotate, the impeller rotates to blow the airflow to the heat dissipation opening, uniform and efficient heat dissipation is achieved, meanwhile, the air inlet end of the air guide channel adsorbs dust-containing air towards the peripheral side of the detection end, clean airflow is formed after filtering, and the clean airflow is blown to the heat dissipation opening in a directional mode. Dust at the detection end is removed through negative pressure adsorption, a dust suction path is physically isolated from a heat dissipation airflow path, and finally the synergistic effect of improving the heat dissipation efficiency and optimizing the dustproof performance is achieved.

The utility model provides a composite side slope monitoring device. The composite side slope monitoring device comprises a monitoring box body and a remote monitoring terminal, the monitoring box body can be buried in soil of a slope in a pick-and-place manner, and a sensor, a signal processing unit and a power supply unit are arranged in the monitoring box body; the sensor comprises a water content sensor for monitoring the water pressure change in soil, a soil pressure sensor for monitoring the pressure change of the soil, and a displacement and inclination sensor for monitoring and recording the displacement and inclination angle of the slope structure; the signal processing unit converts analog signals of the sensors into digital signals and transmits the digital signals outwards. The power supply unit is electrically connected with the sensors and the signal processing unit; the remote monitoring terminal is in signal connection with the remote transmitter and receives monitoring signals of the remote transmitter. The provided composite slope monitoring device can solve the problems that in a traditional soil slope monitoring scheme, arrangement of sensors is complex, and data collection is difficult, and the accuracy and real-time performance of geological disaster early warning are effectively improved.

The invention provides a calibration assembly and a four-wheel positioning calibration device.The calibration assembly comprises a calibration base body and a plurality of calibration assemblies, the calibration base body defines at least two calibration directions parallel to the calibration base body, the calibration assemblies are arranged on the calibration base body, and projections of the calibration assemblies in the calibration directions do not coincide with one another; and the heights of the plurality of calibration assemblies on the calibration seat body are different. According to the technical scheme, the calibration seat body is provided with the plurality of calibration assemblies of which the projections in the calibration direction do not coincide, so that the four-wheel positioning measurement device can obtain the images of the plurality of calibration assemblies in the calibration direction, and the images of the plurality of calibration assemblies can provide more coordinate values for mutual calibration; therefore, the accuracy of the calibration result is improved, and the accuracy of the tire positioning information detected by the four-wheel positioning measurement device is further improved.

The invention provides a coal mine subsidence area earth surface deformation monitoring device, and relates to the technical field of monitoring devices.The coal mine subsidence area earth surface deformation monitoring device comprises a fixing bottom plate, a supporting structure is arranged on the fixing bottom plate, an adjusting structure is arranged on the fixing bottom plate in a sliding fit mode, a fixing structure is arranged on the adjusting structure, and a locking structure is arranged between the adjusting structure and the fixing bottom plate; a detection structure is arranged in the supporting structure, a monitoring structure is arranged on the supporting structure, the detection structure corresponds to the adjusting structure, a pushing structure is arranged between the supporting structure and the detection structure, a stabilizing structure is arranged in the detection structure, and the stabilizing structure corresponds to the pushing structure. According to the device, the adjusting structure is slidably installed on the fixing bottom plate, the fixing structure is installed on the adjusting structure, the fixing position of the fixing structure can be adjusted through the adjusting structure, and therefore the device can be well fixed to the ground according to needs, the stability of the device is guaranteed, and the position of the adjusting structure can be locked through the locking structure.

The invention relates to the technical field of underwater monitoring equipment, in particular to an underwater sensor data acquisition device with a self-cleaning function and a method thereof.The underwater sensor data acquisition device comprises a storage plate used for installing a plurality of sensors, a cleaning box arranged on the storage plate in a sleeving mode and a water storage tank used for supplementing water to the inner space of the cleaning box; storage barrels are arranged on a center shaft of the top face of the storage plate at intervals, the bottom faces of the storage barrels are sleeved with a plurality of sensors, a lifting barrel arranged on the storage barrels in a sleeving mode is fixedly arranged on a center shaft of the top of the cleaning box, and a water suction pump is installed on the outer wall of the lifting barrel. By means of a sleeving structure of the lifting cylinder and the storage cylinder and a water suction pump, clear water is sucked into the lifting channel and pumped into the lifting channel, the storage cylinder and the storage plate are driven to ascend and descend, and when underwater monitoring needs to be carried out, a sensor can be lowered to the outside of the cleaning box; and when the monitoring period reaches the requirement for cleaning, the sensor can be lifted into the cleaning box for cleaning, so that good conditions are provided for working and cleaning of the sensor.