165results about How to "Improve data accuracy" patented technology

The invention belongs to the technical field of power system monitoring, and particularly relates to a wireless cable temperature measurement system and method, and the system comprises an operation information collection module, a layout planning analysis module, a data standardization module, a change trend analysis module, an early warning threshold adjustment module, and a fault positioning analysis module. According to the invention, cable operation data and environment information are analyzed, the coverage range, data transmission delay and signal attenuation are considered, the layout of temperature sensors is optimized, the response speed and data accuracy of a temperature sensor network are enhanced, temperature data are formatted and processed, time sequence analysis is carried out, and the temperature change trend is evaluated. Abnormal temperature risk recognition is achieved in the early stage, the accuracy of fault prediction is improved, the cable temperature risk monitoring threshold value is adjusted in combination with cable specifications and meteorological information, the timeliness and effectiveness of risk management are improved, the fault response speed and the system stability are improved, the maintenance cost is reduced, and the reliability and safety of a power grid are improved.

The invention provides an intelligent dialogue method based on user permission separation and a related device, and the method comprises the steps: analyzing a reply content output request from terminal equipment, and obtaining an initial question description and basic identity information of a target user; determining permission description according to the basic identity information of the target user; updating the initial problem description according to the permission description to obtain a target problem description; querying according to the target problem description to obtain a target data set; and inputting the target question description, the permission description, the target data set and the cue word template into the vertical field large model, and outputting target reply content. Therefore, the intelligent dialogue system is endowed with user permission recognition and separation capabilities, so that the actual questioning content of the user can be accurately speculated, the correct answer can be output, and the data security and the reply accuracy are improved.

The invention relates to the technical field of data processing, and discloses a multi-point synchronous accurate hoisting positioning method and device for a bridge precast beam. The method comprises the following steps: optimizing three-dimensional scene data to obtain target environment data, performing path planning to obtain multi-point hoisting path data, and performing optimization processing on the path data to obtain an optimized hoisting path and attitude change data; performing real-time visual tracking processing on the precast beam to obtain real-time position and attitude data, and performing filtering processing on the real-time position and attitude data to obtain filtered pose data; and performing comparative analysis on the pose data, the optimized hoisting path data and the optimized pose change data to obtain control instruction data, and performing cooperative control on the multi-point hoisting system according to the control instruction data. The posture of the large precast beam can be accurately and efficiently controlled, the positioning precision is improved, and the requirement for rapid and efficient hoisting is met.

The invention discloses a PVA-PET composite film preparation control system based on data analysis, and belongs to the technical field of data processing and analysis, and the PVA-PET composite film preparation control system comprises a data acquisition module, a data analysis module, a control strategy generation and early warning module and a feedback optimization module which are in communication connection with one another. The data acquisition module is used for acquiring key parameters in the preparation process of the PVA-PET composite film; and the data analysis module is used for carrying out data preprocessing, statistical analysis and machine learning training on the acquired key parameters in the PVA-PET composite film preparation process. According to the invention, by selecting a proper sensor and establishing an effective data acquisition system, key parameters in the preparation process of the PVA-PET composite film can be acquired and monitored in real time. And establishing a relationship among key parameters by combining preliminary identification with a secondary identification result. And the data accuracy and the control effectiveness of the PVA-PET composite film preparation control system are improved.

The invention provides a wind generating set blade interior inspection robot, and relates to the technical field of wind power generation, the wind generating set blade interior inspection robot comprises a robot body, the robot body is composed of a Mecanum wheel chassis, a robot tower bottom cabinet and a robot cabin cabinet, and the robot tower bottom cabinet is arranged at the top end of the Mecanum wheel chassis; a robot cabin cabinet is arranged at the top end of the robot tower bottom cabinet, and a monitoring sensing device is arranged on the outer side of the robot cabin cabinet. According to the invention, the monitoring sensing device is arranged, and the interior of the cabin of the generator set is effectively monitored by monitoring the operation of a sensor, so that the problems that the existing wind turbine generator inspection robot is mainly an unmanned aerial vehicle, and the appearance and blades of the wind turbine generator are monitored in the prior art are effectively improved; the problems that the interiors of the wind turbine generator blades cannot be continuously monitored in real time, and meanwhile, the interiors and important positions of the wind turbine generator blades cannot be monitored and daily maintenance requirements cannot be met are solved.

The invention relates to the technical field of medical apparatuses and instruments, in particular to a medical apparatus and instrument state management system based on the Internet of Things technology, which can remotely monitor and manage medical equipment and medical consumables in the whole period. Through the combination of the equipment sensor, the Internet of Things platform and the mobile terminal application, medical equipment management personnel can know information such as the operation state, the energy consumption condition, the maintenance period and the operation time of the medical equipment in real time, meanwhile, preventive maintenance can be carried out, related faults can be handled in time, and the quality and efficiency of medical services are improved. By means of intelligent remote monitoring and management, information islands are eliminated, efficiency is improved, data unification and sharing among all systems and departments are achieved, and the purpose of conducting real-time remote monitoring and management on medical instruments in the whole period is achieved.

The invention discloses a hydrogen long-distance pipeline sensor optimization method based on an artificial intelligence algorithm, and the method comprises the following steps: obtaining sensor data of temperature, pressure, flow velocity and vibration in a hydrogen long-distance pipeline, and carrying out the data cleaning and denoising processing; extracting temperature, pressure and flow velocity characteristics, and constructing a multivariable coupling model; inputting the model characteristic parameters and the multivariable coupling data set into an adaptive compensation algorithm to obtain a sensor optimization data sequence, and performing real-time prediction analysis to generate a sensor data state prediction sequence; and monitoring and analyzing the safety state of the pipeline, generating a pipeline safety evaluation coefficient, and completing real-time safety monitoring and early warning feedback. According to the invention, through real-time analysis and processing of multivariable data, accurate optimization of sensor data is realized by using a mathematical operation formula and a deep coupling model, the data accuracy and monitoring reliability of the sensor in a complex environment can be significantly improved, and the problem of data deviation caused by complex change of the environment is solved.

The invention belongs to the field of safe transmission of video monitoring code streams, and particularly relates to a method for realizing disaster recovery and rapid recovery of national standard superior services by using Redis record cascade and equipment information. A Redis storage management system is constructed to record cascading and equipment information, and when a service is restarted abnormally, link recovery or waiting for registration online is quickly judged according to Redis information. Multi-thread storage is adopted for first retrieval of shared device information, Redis and reported information at this time are compared during second retrieval, a lower level synchronously retrieves resource information from an upper level, a database and Redis are accurately operated according to information content by means of a Kafka component, all the steps work cooperatively, and the efficiency is improved. Disaster recovery and rapid recovery are effectively achieved when existing national standard cascade services face various emergencies such as service faults and network anomalies, the overall performance, the disaster recovery capacity and the data accuracy are improved, and the requirements of a video monitoring system for efficient, stable and reliable operation and accurate resource sharing are met.

The invention relates to the field of charging cabinet power-off control, in particular to a power-off management method, device and equipment of a charging cabinet and a storage medium. The method comprises the following steps: collecting real-time charging state information of a charging cabinet based on multiple sensors; performing time sequence digital processing on the real-time charging state information, and performing filtering and noise reduction to obtain a noise-reduced optimized charging state data sequence; carrying out charging port state matching analysis on the noise reduction optimized charging state data sequence one by one, and carrying out charging load calculation to obtain load data of each charging port; obtaining a historical operation log of the charging cabinet; and performing user demand analysis on the historical operation log of the charging cabinet, performing deep demand trend learning, and generating a user demand trend change rule. According to the invention, the fault charging port of the charging cabinet is accurately positioned, single-point power-off processing of the fault charging port is realized, and the operation efficiency of the charging cabinet is improved.

The invention discloses a method and device for establishing an oxidation corrosion model of ferrochrome in a closed environment based on finite elements, and the method comprises the steps: obtaining a first size of a closed gas environment, and obtaining a second size of a sample of a ferrochrome material; establishing a two-dimensional geometric model according to the first size and the second size; the oxidation corrosion reaction information of the ferrochrome material is preset; presetting a first attribute of the ferrochrome alloy material, a second attribute of a reaction substance and a third attribute of a closed gas environment; performing grid division on the ferrochrome material to obtain a target grid division area; and constructing an oxidation corrosion model according to the two-dimensional geometric model, the oxidation corrosion reaction information, the first attribute, the second attribute, the third attribute and the target grid division region. The method can improve the data accuracy of monitoring and predicting the corrosion degree of the alloy, and can be widely applied to the technical field of computers.

The invention discloses a physical wind tunnel pressure measurement test optimization method based on CFD-AI and a storage medium. The method comprises the following steps: completing wind load measurement point arrangement after segmentation based on a parameterized modeling platform, and completing curved surface partitioning; establishing a CFD numerical wind tunnel calculation model, performing CFD full wind direction angle calculation, and extracting building surface measuring point wind pressure and local shape coefficients corresponding to all wind direction angles; in combination with the local shape coefficient and the three-dimensional building model, performing machine learning clustering analysis on the measuring points to form an optimized measuring point arrangement scheme; curved surface partitions are updated based on an optimized measuring point arrangement scheme and a Thiessen polygon, and a physical wind tunnel test is carried out; and integrating wind load analysis results of the physical wind tunnel and the CFD numerical wind tunnel, marking a wind pressure hyper-standard region, and calculating and outputting an overall shape coefficient in combination with a curved surface partition area and a local shape coefficient. The objective of the invention is to improve the problems of high pressure test cost, too long test data processing time and incapability of achieving engineering practical application of test efficiency and data accuracy in a physical wind tunnel test.

The invention discloses an intelligent detection data calibration system based on enhancement algorithm driving, and particularly relates to the technical field of data calibration, a plurality of sensors are arranged at different positions in an environment, each position comprises a plurality of sensors of the same type, potential abnormal sensors are detected by using a redundancy or machine learning algorithm, and the data calibration accuracy is improved. The range of the abnormal sensor is quickly narrowed and the efficiency is improved; the monitoring data fluctuation curve is analyzed, an expected input cost description parameter and an expected calibration similarity are obtained through analysis, non-calibrated sensors are screened out from an abnormal sensor set based on an analysis result, and waste of calibration resources on the sensors which are not worthy of input is avoided; it is ensured that only the sensors capable of being calibrated are included in the calibration process, and the data accuracy and reliability of the whole monitoring system can be improved; detailed cost analysis about sensor maintenance or replacement is provided for decision makers, more economic and reasonable decisions can be made, and the problem of resource waste in the intelligent detection data calibration process is solved.

The invention provides an automatic management method and system for resident autonomous putting of renewable resources, and relates to the field of sorting of certain recycled articles, the method comprises the following steps: after a bag taking request sent by a resident passing identity authentication is detected, a distribution device is controlled to open lock bins for storing environment-friendly bags, and each lock bin corresponds to a number; generating a collar bag record order according to the identity information of the resident and the corresponding serial number of the lock cabin; after the recoverer passing the identity authentication scans the two-dimensional code on the environment-friendly bag, the self-service sorting device is controlled to classify and weigh the packaged recycled articles in the environment-friendly bag, and the types of the recycled articles and the corresponding weight of each type of recycled articles are obtained; determining a recovery price corresponding to the collar bag record order according to a preset pricing form and the weight corresponding to each type of recovered articles; and carrying out online settlement on the residents according to the recovery price, and generating a recovery record list. By implementing the method, the putting process of the residents can be simplified, and the enthusiasm of the residents participating in recovery and the recovery efficiency and accuracy can be improved.

The invention discloses an airport apron flight guarantee service identification and abnormity identification method, and belongs to the technical field of image processing, and the airport apron flight guarantee service identification method comprises the steps: defining a guarantee service type, a service stage, an entity set and a time sequence behavior mode of each entity; obtaining a video frame sequence corresponding to each type of guarantee service and carrying out data labeling; generating an initial graph structure of each image in the video frame sequence, and extracting graph convolution features of each node in the initial graph structure through a GCN network; and expanding the initial graph structure to obtain an expanded graph structure, forming time sequence graph structure data to train an ST-GCN network to obtain a type identification model, and identifying a guarantee service type and a service stage in the monitoring video of the airport apron. The airport apron flight guarantee service exception identification method is used for carrying out exception event identification on guarantee services. According to the invention, based on the expansion graph structure and the ST-GCN network, the accuracy and real-time performance of identification can be improved, and the efficiency of abnormal behavior identification can also be improved.

The invention discloses a traffic infrastructure inspection unmanned aerial vehicle and a system thereof, and relates to the technical field of inspection unmanned aerial vehicles, the traffic infrastructure inspection unmanned aerial vehicle comprises a driving integrated machine body, a regulation and control assembly is installed in the driving integrated machine body, and the side end of the regulation and control assembly is fixedly connected with a side wing regulation and control assembly; according to the unmanned aerial vehicle, under the cooperation of the side wing regulation and control assembly and the regulation and control assembly, the light high-strength auxiliary wing structure capable of reducing wind resistance is adopted, so that the unmanned aerial vehicle is effectively kept in a more stable flight attitude, the image stability and the data accuracy during inspection are improved, the flight performance of the unmanned aerial vehicle is adjusted according to actual requirements in the flight process, and the unmanned aerial vehicle is more stable in flight. When long-distance inspection is carried out in an open zone, the regulation and control assembly can drive the side wing regulation and control assembly to retract, so that the overall flight resistance is reduced, energy is saved, the flight efficiency is improved, the situation that the unmanned aerial vehicle is limited due to the fact that the state of the unmanned aerial vehicle is affected by the construction operation environment is reduced, and the detection effect of the unmanned aerial vehicle is guaranteed.

The invention provides a data processing method, a man-machine interaction method, an agent system and a device, and relates to the technical field of computers, in particular to the technical field of artificial intelligence such as deep learning, natural language processing and large models. According to the specific scheme, firstly, log data of a service system using a target model are obtained, the log data are analyzed, query data and retrieval data corresponding to the query data are obtained, then the query data and the retrieval data are input into the target model and a first model respectively, at least two pieces of generated data are obtained, and the generated data are stored in the first model. The method comprises the following steps: firstly, generating data, then utilizing at least two second models, determining the first credibility of each piece of generated data based on query data and retrieval data, and finally, associating and storing the query data, the retrieval data, the generated data and the first credibility into a training database associated with a target model.

The invention discloses a calculation method and device of an atmospheric dispersion factor and a site selection method of a nuclear power plant. The method comprises the following steps: acquiring reanalysis meteorological data; determining the central position of the target area, wherein the central position comprises latitude and longitude coordinates; and according to a Gaussian plume model, and / or a Gaussian puff model, and the reanalysis meteorological data, calculating an atmospheric dispersion factor at a preset distance from the center position. According to the method, the problem that effective evaluation of the atmospheric dispersion factor cannot be carried out for a target area in which meteorological station construction and meteorological element observation are not carried out temporarily in the prior art can be solved.

The invention discloses a wing-shaped shoulder rehabilitation training evaluation system based on simplified signal expansion, which realizes accurate monitoring and evaluation of a wing-shaped shoulder patient through household wearable IMU sensing equipment assisted by EMG + IMU signal fusion processing, can deeply analyze the activity states of muscles and joints, and can improve the rehabilitation training accuracy of the wing-shaped shoulder. And a personalized and standardized rehabilitation training scheme is provided for the patient. The system can assist a patient in more scientific and intelligent rehabilitation training in hospitals and home environments, the rehabilitation effect is improved, discomfort in the rehabilitation period is relieved, and a real-time data feedback and rehabilitation progress evaluation tool is provided for doctors.

The invention relates to the technical field of cable detection and analysis, and discloses a ring main unit and pole-mounted circuit breaker cable and wire stretching state electrical performance detection device which comprises a supporting table, a stretching assembly, a transmission assembly, a detection assembly, a regulation and control assembly, a retention assembly and a winding assembly. The stretching assembly comprises a conveying piece and a stretching piece which are oppositely arranged on the supporting table, the conveying piece is used for inputting a cable with a set length, the stretching piece is used for stretching the input cable, the conveying piece with the fixed position and the sliding stretching piece are arranged on the supporting table, the stretching piece slides on the supporting table, and when the retention assembly is not triggered, the cable is stretched. According to the cable stretching device, feeding of the cable is completed, when the retention assembly is triggered, the cable is fixed, and the cable is stretched in the state that the stretching piece continuously moves, so that the length consistency of cable stretching is further improved, namely, the data accuracy of electrical performance detection in the cable stretching state is improved.

The invention discloses an ambient air quality monitoring device and method for automatic calibration, and belongs to the field of air monitoring. The invention discloses an environment air quality monitoring device and method for automatic calibration, and the device comprises a protection housing, the interior of the protection housing is provided with a monitor, the bottom of the monitor is fixedly connected with an air outlet pipe, and the top of the protection housing is fixedly connected with an air inlet seat. The transmission mechanism is rotationally connected with the interior of the air inlet seat through a bearing; the filtering mechanism is located on one side of the protective shell and fixedly connected with the protective shell, and the interior of the filtering mechanism penetrates through the end of the transmission mechanism; according to the device, impurities in air can be cleaned in time, the situation that the air circulation speed is easily affected by too many impurities is avoided, it can be guaranteed that the air suction efficiency is better, meanwhile, moisture in the air can be dried and adsorbed, moisture in the air is greatly reduced, and therefore air monitoring data are improved.

The invention relates to the technical field of distributed informatization data transmission, in particular to a distributed informatization data transmission method for a digital visual platform, which comprises the following steps: firstly, acquiring historical transmission environment data, establishing a data transmission congestion degree evaluation index, judging whether a data transmission environment is a crowded data transmission environment according to the data transmission congestion degree evaluation index, and if yes, transmitting the data transmission environment; then data transmission is carried out; if the transmission fails, the data is retransmitted through a self-healing mechanism; after the data transmission is completed, the edge node preprocesses the received data according to the data requirement of the digital visual platform to obtain the preprocessed data, and stores the preprocessed data to the edge storage node; and the client node receives the data transmitted by the edge storage node according to the edge data flow control mechanism, and visually monitors the transmission state. According to the method, efficient and stable data transmission of the digital visual platform is realized by introducing a data transmission congestion degree evaluation index, a data priority and an edge data flow control mechanism.

The invention provides a warehouse goods checking method, electronic equipment and a storage medium. The method comprises the steps of selecting a to-be-used identification mode based on cargo attributes of to-be-checked cargos in a target warehouse; according to the to-be-used identification mode, obtaining target checking data of the to-be-checked goods; performing data anomaly detection on the target inventory data by using a target anomaly recognition model to obtain a current detection result, the current detection result being used for indicating whether there is cargo loss and / or repeated inventory in the to-be-inventory cargos; and performing visual display on the current detection result, and / or generating an inventory exception report according to the current detection result. According to the invention, the technical problems of low checking efficiency and poor data accuracy of a warehouse goods checking method provided in the prior art are solved.

The utility model relates to the technical field of building equipment, in particular to a building steel strength detection device which comprises a base, a mounting frame arranged on the upper side of the base, a lifting electromagnetic adsorption mechanism arranged in the mounting frame and a balancing weight arranged on the lower side of the lifting electromagnetic adsorption mechanism. The supporting and positioning mechanisms are arranged on the two sides of the balancing weight correspondingly, the supporting and telescopic inserting mechanisms are arranged at openings in the two sides of the mounting frame correspondingly and matched with the two supporting and positioning mechanisms in an inserting mode, and the vertical guide mechanism is arranged between the upper side of the base and the upper side of the interior of the mounting frame. The two supporting and positioning mechanisms and the lifting electromagnetic adsorption mechanism are in sliding fit with the vertical guide mechanism; according to the device, the four inserting rods are used for providing auxiliary supporting for the balancing weight, the load of the electromagnet is relieved, the fault risk is reduced, and the balancing weight can be prevented from falling off when the electromagnet loses excitation; and meanwhile, the vertical guide mechanism ensures that the balancing weight falls vertically, so that the detection safety and the result accuracy are improved.

The utility model provides an inclinometer with a water pressure and water level acquisition function, which relates to the technical field of hydraulic engineering and comprises a rod body, a first accommodating cavity for accommodating an acquisition mainboard is arranged in the rod body, and the acquisition mainboard is electrically connected with a communication cable mounted at the upper end of the rod body through a first through hole formed in the rod body; the switching circuit board is mounted at the top of the first accommodating cavity, an inclinometer is also welded on the switching circuit board, and the inclinometer is electrically connected with the acquisition mainboard; the pressure monitoring assembly is installed in a second containing cavity formed in the rod body, a second through hole is formed between the second containing cavity and the first containing cavity, the pressure monitoring assembly and the collecting mainboard are electrically connected through the second through hole, the space, except for the pressure monitoring assembly, of the second containing cavity is a water containing cavity, and a plurality of water inlet holes are formed in the water containing cavity; and the guide wheel structure is mounted on the outer surface of the rod body. The beneficial effects are that multiple parameters are measured at the same time, and the measurement efficiency and the data accuracy are improved; and the number of equipment and the purchase cost are reduced.

This utility model discloses a pesticide accelerated dissolution device for detecting pesticide residues in fruits and vegetables, relating to the field of pesticide detection technology. The device includes a dissolution tank for holding the dissolution solution. Through the arrangement of a rotating cover, a pressure plate, and an eccentric roller, during dissolution, a first drive motor rotates the rotating cover, causing the storage cylinder to move with the cover. A second drive motor rotates the eccentric roller, causing the storage cylinder to intermittently vibrate up and down during rotation. During this vibration, the pressure plate extends into the storage cylinder relative to the cylinder, squeezing the fruits and vegetables. This multi-motion coordinated dissolution effect allows the pesticides in the fruits and vegetables to quickly fuse with the solvent, improving dissolution efficiency and data accuracy.

The invention relates to a method for determining the biological activity of FGF21 (Fibroblast Growth Factor Receptor 21), which comprises the following steps: infecting and transfecting HEK293T cells by using an overexpression lentivirus containing FGFR1 and beta-Klotho genes and a reporter gene plasmid containing an SER reaction element so as to obtain a reporter gene-containing cell strain capable of stably expressing FGFR1, beta-Klotho and SRE; after FGF21 stimulation is added, the expression of a luciferase reporter gene at the downstream of the SER-containing promoter is activated; after co-incubation culture, adding a luciferase substrate, and fitting a four-parameter curve according to a measured reporter gene signal value, so as to determine the biological activity of the FGF21. According to the method provided by the invention, the test period is shortened to 24 hours, the detection sensitivity for FGF21 can reach a nanogram level and is improved by 1000 times compared with that of a traditional glucose oxidation method, and the result is consistent. The method provided by the invention can be used for evaluating the biological activity of FGF21 and analogues thereof as candidate drugs for treating metabolic diseases such as diabetes mellitus and NASH, and plays an important guiding role in quality control in research, development and production of FGF21 drugs.

The invention discloses a block chain-driven urban resource data general survey processing method, and relates to the technical field of data processing, and the method comprises the steps: defining a multi-layer block chain based on the category of urban resource data, and the multi-layer block chain comprises a block mother chain and a multi-level block sub-chain; and calling urban resource historical data, and constructing a reference resource data block. And interacting a plurality of general survey data sources to obtain urban resource general survey data which comprises data category labels and node labels. And by taking the data category labels and the node labels as index constraints, establishing a mapping relationship between the census data and the multi-layer block chain, and constructing a census data mapping table. And finally, based on the mapping table, mapping the city resource census data to a chain, and generating on-chain city resource census data. Therefore, the technical effects of improving the data integration and management efficiency and improving the data accuracy and consistency are achieved.

The invention relates to a gas storage cylinder and a monitoring method and a management system thereof. The monitoring method is applied to a server and comprises the following steps: acquiring various gas cylinder information stored in an electronic tag integrated with a gas cylinder through a reader-writer; when one or more gas cylinder information exceeds a safety condition range, high-risk gas cylinders corresponding to the gas cylinder information exceeding the safety condition range are obtained; and sending an early warning prompt about the high-risk gas storage cylinder to target equipment.

The utility model discloses a polyurethane roller 90-degree peeling test fixture, which comprises a roller core, a first connector and a second connector, the first connector is provided with a concave accommodating cavity, a transverse limiting rod is arranged in the concave accommodating cavity, the roller core is sleeved on the transverse limiting rod, the second connector comprises an adapter and two clamping plates, and the two clamping plates are connected with the adapter. The two clamping plates are provided with locking rod bolt assemblies and lifting rods, one end of the adapter is arranged on the lifting rods in a sleeving mode, the other end of the adapter is provided with a second connecting part connected with a tensile machine, the first connector is further provided with a first connecting part connected with the tensile machine, and the surface of the wheel core is bonded with one end of a polyurethane test strip. And the other end of the polyurethane test strip is arranged between the two clamping plates and is clamped and fixed through a lock rod bolt assembly. The device is accurate in test data, wide in application range, high in universality, stable and reliable.

The utility model belongs to the technical field of high-precision weighing devices, and provides an LED display module installation structure and a high-precision weighing device.The LED display module installation structure comprises a PCB, an LED lampshade and a diffusion film, and lamp beads are arranged on the front face of the PCB; the LED lampshade is arranged on the front face of the PCB, the LED lampshade and the PCB are provided with a first installation hole and a second installation hole which are matched with each other respectively, and self-tapping screws are arranged in the first installation hole and the second installation hole in a penetrating mode. A back glue layer is arranged on the back face of the diffusion film, the diffusion film is attached to the front face of the LED lampshade through the back glue layer, and the front face of the LED lampshade is attached to the ITO glass. According to the body fat scale, the front surface of the diffusion film is directly attached to the ITO glass, so that the display effect of the reading of the body fat scale is improved; and meanwhile, the stress area of the pressure sensor, the stress center point of the supporting area and the center point of the wafer are all on the same straight line, so that uniform stress can be ensured, and the accuracy of data output by the pressure sensor is improved.