37results about How to "Improve data stability" patented technology

The invention relates to the technical field of ore conveying, and discloses an intelligent mine ore conveying management system, which comprises a deep reinforcement learning scheduling module used for realizing optimal scheduling through a deep reinforcement learning algorithm based on an ore conveying equipment state, a conveying path condition and ore queue information; the digital twinning system is used for creating a digital twinning model of the conveying equipment and carrying out multi-physics field simulation, real-time data synchronization and state prediction so as to manage the full life cycle of the equipment; and the edge calculation module is used for carrying out data acquisition, real-time processing and lightweight AI reasoning on a mine site so as to realize equipment anomaly detection and early warning. By introducing deep reinforcement learning scheduling, digital twinning, edge computing and block chain data management technologies, adaptive optimization scheduling, accurate state monitoring and fault prediction of the ore conveying system are realized, an efficient safety protection and intelligent user interface is provided, and the operation efficiency, reliability and safety of the system are improved.

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 a multi-scale sea surface temperature remote sensing data iterative correction method. The method comprises the following steps: acquiring actually measured sea surface temperature data and first remote sensing observation sea surface temperature data of a target sea area; correcting the first remote sensing observation sea surface temperature data based on the actually measured sea surface temperature data to generate second remote sensing observation sea surface temperature data; performing time iteration correction on the second remote sensing observation sea surface temperature data based on a time correction parameter library to generate third remote sensing observation sea surface temperature data; performing spatial correction on the third remote sensing observation sea surface temperature data based on a spatial correction parameter library to generate fourth remote sensing observation sea surface temperature data; and accumulating the third remote sensing observation sea surface temperature data and the fourth remote sensing observation sea surface temperature data to obtain remote sensing observation sea surface temperature correction data corresponding to the target sea area. Based on the method, the quality and reliability of sea surface temperature remote sensing observation data can be improved.

The utility model relates to the technical field of water quality on-line automatic measurement, and provides a light path structure for a total nitrogen on-line monitor, which comprises a light source, a light source correction module, a digestion module and a detection module, the light source and the light source correction module are arranged on one side of the digestion module, and the detection module is arranged on the other side of the digestion module; the light source correction module comprises a collimator; the digestion module comprises a digestion chamber, and a digestion pipe is arranged in the digestion chamber; the utility model has the advantages of simple structure, small volume, low cost, no mechanical moving part, no follow-up maintenance problem, convenience in installation and use and the like; according to the present invention, the requirements of the national standard method on the total nitrogen test and the collection and analysis on the 220nm wavelength and the 275nm wavelength by using the dual ultraviolet spectrophotometry are met, the problems of complex light path device and high practical imported optical filter cost of the existing total nitrogen online monitor are solved, and the influence of the actual water sample turbidity can be deducted by adding the 880nm detection wavelength.

The invention provides a wear leveling method and a memory storage device. The wear leveling method is used for a rewritable nonvolatile memory module. And the rewritable nonvolatile memory module comprises a plurality of entity erasing units. The wear leveling method comprises the following steps: judging whether each entity erasing unit meets a preset condition or not on the basis of erasing times and written-in time of each entity erasing unit; if the current entity erasing unit meeting the preset condition exists in the multiple entity erasing units, whether the current entity erasing unit is fully written or not is judged; and if the current entity erasing unit is not fully written, executing a first wear leveling operation on the current entity erasing unit, and if the current entity erasing unit is fully written, executing a second wear leveling operation on the current entity erasing unit.

The invention provides an edge searching method and device for laser cutting, electronic equipment and a storage medium, and the method comprises the steps that an edge searching starting point and an edge searching track are obtained, a point laser sensor is controlled to move to the edge searching starting point and move according to the edge searching track, and in the moving process of the point laser sensor, edge searching height data of the point laser sensor are obtained; determining N edge point positions according to the edge searching height data, wherein N is greater than or equal to 3; a plate vertex and an edge searching angle are determined according to the edge point position, a machining graph is corrected according to the plate vertex and the edge searching angle, a laser cutter is controlled to machine the plate according to machining parameters, and the determination speed of determining the plate vertex and the edge searching angle according to the edge point position is increased; since the point laser sensor does not need to follow the nozzle of the laser cutter to the plate surface, and the data stability of the point laser sensor is higher than that of a capacitance sensor when the point laser sensor is interfered by external factors, the determination speed and accuracy of the edge point position can be improved, and the edge searching accuracy and efficiency are further improved.

The invention discloses a biological safety cabinet quality detection system and a method thereof, belongs to the technical field of detection, comprises a detection device and an upper computer, solves the technical problems of dynamically analyzing the flow consistency of a main air duct and a branch air duct and providing accurate information of global suction air flow distribution of the system, ensures the accuracy of flow data, and improves the detection efficiency. The adaptability and data stability of the system under different environmental conditions are remarkably improved, data log generation, alarm prompt and analysis result display are supported, it is ensured that accurate information of global flow distribution of the system is obtained, meanwhile, rapid alarm of abnormal flow distribution is achieved, and turbine rotating speed and liquid flow data are combined.

The invention discloses a portable Raman spectrum measuring device for petroleum heavy metal ion detection, which belongs to the technical field of petroleum exploitation and processing, and comprises a light source module, a wavelength modulation module, an excitation light path module, a confocal detection module, an imaging module, a data processing module, an image processing module, an automatic focusing module and a portable shell, the fiber bragg grating can accurately adjust the excitation wavelength, and the influence of wavelength deviation on the detection precision is reduced; the contrast ratio and the sensitivity of Raman signals can be effectively improved through multi-wavelength excitation and differential signal processing and a displacement excitation Raman differential spectrum technology; the device provided by the invention can effectively improve the portability, accuracy and experimental efficiency of Raman spectrum detection, is suitable for crude oil pollution detection requirements in oil exploitation and processing processes, and has a wide application prospect.

The invention discloses a non-contact river flow velocity calculation method and system based on a super point, and belongs to the field of deep learning and flow velocity calculation. The method comprises the following steps: collecting river water surface dynamic video images under different illumination and climate conditions; processing the image through a super point algorithm to extract water surface feature points, and generating descriptor information of the feature points; a descriptor enhancement model is constructed, original descriptors are mapped to a high-dimensional feature space through a multi-layer perceptron, and descriptor information of feature points is optimized; enhanced descriptors of feature points are generated through a deep feature network, the feature points are divided by using a DBSCAN algorithm, and similar points or feature regions where the similar points are located are screened out by using a density-based clustering method; the optical flow method is combined, the speed and direction of the river under different flow velocity conditions are calculated, real-time flow velocity analysis and river monitoring are carried out, the requirements of flood control and disaster reduction and water environment management can be met, and the method is suitable for unattended long-term river monitoring tasks.

The invention relates to a ridge line navigation method and system based on visual segmentation. The ridge line navigation method and system based on visual segmentation comprises the following steps: acquiring an original image, preprocessing the original image, and importing a YOLOv8 model for training to obtain a ridge surface segmentation mask; edge detection is carried out on the ridge surface segmentation mask, pixel point information of ridge surface contour coordinates is determined, and central point pixel coordinates are obtained; fitting navigation lines for all the center points by adopting a B spline interpolation method, and drawing reference lines; and calculating the average absolute percentage error of each pixel point of the reference line and the navigation line, confirming a deviation signal, and judging the vehicle body adjustment direction through the deviation signal. According to the scheme provided by the invention, the model can be trained through the complex environment image, the ridge surface segmentation mask can be obtained through the YOLOv8 model, the field ridge contour boundary can be extracted, the navigation line can be fitted by adopting the B-spline interpolation method, the real-time reference line can be set, the average absolute error of the navigation line and the reference line can be calculated, the deflection signal can be given, and more accurate deflection information can be provided.

This invention discloses an adaptive anti-interference display control method for a full LCD instrument panel in a bus, relating to the field of automotive instrument system technology. The method includes the following steps: collecting the ambient temperature value T and vibration acceleration value A; comprehensively determining the current operating mode based on the temperature value T and vibration acceleration value A; matching and executing the corresponding display control strategy according to the determined operating mode; and adjusting the operating mode determination strategy in real time to form a closed-loop adaptive control. The control method provided by this invention uses temperature and vibration dual-parameter linkage as its core framework, integrating two key measures: high-temperature low-power consumption and heat dissipation linkage, and strong vibration data latching. This achieves adaptive anti-interference display control of the full LCD instrument panel in a bus under complex and harsh operating conditions, significantly improving display quality, data stability, and system reliability. It effectively overcomes the shortcomings of existing technologies and fills the gap in dedicated temperature and vibration linkage control schemes for buses.

The utility model relates to the technical field of communication, in particular to an antenna intermodulation index testing device which comprises a vibration bed body, the vibration bed body comprises a bottom plate, stand columns are arranged at the four corners of the bottom plate respectively, the upper ends of the stand columns are fixedly connected with air cylinders, and the free ends of guide rods of the air cylinders are hinged and fixed to the bottom plate; and the antenna trolley is used for bearing a base station antenna to be tested, and the antenna trolley is fixed on the bottom plate through a locking device arranged on the bottom plate. The utility model mainly aims to provide an antenna intermodulation index testing device which comprises a vibration bed body, the vibration bed body provides a vibration source and simulates real vibration for an antenna trolley which is arranged on the vibration bed body and bears a base station antenna through cylinders arranged at four corners, and the vibration frequency is adjusted by switching time through an electromagnetic valve. The structure for adjusting the pressure of the air inlet pressure gauge and adjusting the amplitude effect is simple, and the detection anti-interference capability is higher.

The invention discloses a vehicle end image transmission method and device, equipment and a storage medium, relates to the technical field of data processing, and discloses the following steps: when a vehicle end completes local area network authorization, constructing a local area network between the vehicle end and a terminal application based on a preset protocol; sending the vehicle end identity information to the terminal application based on the local area network, so that the terminal application performs verification according to the vehicle end information and feeds back a verification result; receiving a verification result, and when the verification result is successful verification, obtaining target audio and video information based on the image acquisition request of the terminal application; sending the target audio and video information to a terminal application; according to the method, the local area network is constructed after authorization of the vehicle end and the terminal, the terminal verifies the identity information of the vehicle end based on the local area network, the image required by the terminal application is transmitted to the terminal application, bidirectional data sending and receiving of the vehicle end and the terminal are achieved, the transmission speed is high, the data stability is high, the mode that a user acquires the image of the vehicle end is simplified, and the user experience is improved. And the entertainment experience of the user in the vehicle using process is improved.

The application discloses a small-turning-radius open TBM tunneling machine and method, and relates to the technical field of TBM tunneling machines.The tunneling machine comprises a pushing oil cylinder, a load detection mechanism corresponding to the oil cylinder, a single-cylinder independent speed regulation mechanism, and a control mechanism with a controller.The load detection mechanism obtains the real-time load and stroke of the corresponding oil cylinder, and the speed regulation mechanism independently adjusts the speed and stroke of the corresponding oil cylinder.The controller receives the load, stroke and host posture data, combines preset tunnel design parameters, and solves the optimal dynamic stroke difference in real time, and then controls each speed regulation mechanism to independently control each oil cylinder in a closed loop, forming a complete closed loop of "perception - decision - execution - feedback".The application realizes real-time coupling and matching of the dynamic change of the surrounding rock load and the stroke difference of the oil cylinder, ensures that the host tunneling direction is always along the design axis, and greatly improves the tunneling stability and posture control precision under the small-turning-radius variable-gradient working condition.

The present invention provides a Zigbee device communication method and system based on beacon transmission and time slot allocation, belonging to the technical field of Zigbee device communication; solves the problems existing in the Zigbee device communication method in application scenarios with dense uplink cycles, a large number of terminals and high-frequency position movement; the technical scheme adopted to solve the above technical problems is: a Zigbee router registered in the network through a server and a Zigbee gateway initiates route discovery, the router submits path information level by level and establishes a route chain table based on a B-tree data structure, and the beacon is transmitted level by level along a determined path and a unique time slot through a non-recursive pre-order traversal of the B-tree chain table; the router receiving the beacon synchronizes its own time information and sends it to the next-level router specified by the route chain table within the time slot specified by the beacon; the Zigbee terminal device synchronizes its own time information after receiving the router's beacon, and broadcasts uplink data to the router within the system unique time slot determined by a dynamic device ID; the present invention is applied to Zigbee devices.

The invention relates to a WEEE recycling supply chain inventory optimization method based on evolutionary reinforcement learning, and belongs to the technical field of supply chain management and artificial intelligence. According to the method, a multi-level inventory cooperative control model is constructed, an inventory optimization problem is modeled as a Markov decision process, and an evolution reinforcement learning algorithm is utilized to train an intelligent agent to learn an optimal strategy. Core innovations include design state space capture inventory dynamics, action space processing continuation to discrete decision mapping, and cost-based minimization of reward functions. According to the algorithm, a population evolution mechanism and experience playback optimization are fused, and the learning efficiency and stability are improved through parallel exploration and sample screening. According to the method, the uncertainty of the recovery amount and demand can be effectively dealt with, the inventory cost is reduced, the supply chain robustness and sustainability are enhanced, and a self-adaptive intelligent solution is provided for WEEE management.

The application discloses a kind of applied to pork slaughter flow line dynamic track scale weighing data processing method.The method includes: obtaining original weight time series data stream in carcass conveying process and pork shaking visual data, and the weight data interference mask containing mechanical vibration and shaking interference is constructed by collaborative analysis;Original data stream is carried out adaptive frequency domain trap wave filtering and time series alignment correction based on the mask, and the candidate weight data stream after disturbance is removed is obtained;Combining visual data calculates the stability index of conveying process, and according to this, candidate data stream is carried out sliding window clustering analysis, and high confidence weighing data envelope interval is identified;Finally, according to the interval, the carcass weighing data is determined.The application effectively improves the weighing accuracy and data stability of dynamic track scale in high-speed flow line environment by fusing visual and weight data to collaboratively suppress composite interference.

The invention discloses a double-front-axle steering point position sensitivity analysis and joint optimization method and system, and relates to the technical field of steering point position optimization. Comprising the following steps: S1, acquiring data of each corner, and preprocessing the data; s2, performing frequency domain analysis on the turning angle of the front axle steering drop arm, judging the non-constant-speed disturbance intensity of a universal joint, and analyzing and removing a periodic disturbance component in the turning angle of a wheel to obtain a turning angle trend of the wheel; s3, an ideal steering relation is established, the deviation between the wheel steering angle trend and the ideal steering relation is evaluated, and the steering geometric error degree is recognized; carrying out single-axis step length adjustment on the coordinates of the key structure points, and analyzing and screening out optimized candidate positions; and S4, constructing a joint optimization target, and performing iterative updating in combination with the non-constant-speed disturbance intensity of the universal joint to obtain optimized key structure point coordinates. The problem that structure point position adjustment is misjudged due to the fact that universal joint non-constant-speed disturbance and steering geometric deviation are difficult to distinguish in the point position optimization process of the double-front-axle steering system is solved.

The invention discloses a lossless network construction method supporting multiple scenes of electric power, which comprises the following steps of: constructing a network topological graph by acquiring node and link information of an electric power network, dynamically optimizing a data transmission path by utilizing a planning algorithm, constructing a flow prediction model to predict a future data flow change trend, and then, constructing a data flow prediction model. And finally, establishing a network performance evaluation system, and evaluating the current network performance in real time, so that the data stability and reliability in the transmission process are effectively improved, and the network performance can be analyzed and evaluated more comprehensively and deeply.

This invention provides a protective mobile unmanned surface vessel (USV) hyperspectral system for shallow sea pollution observation, belonging to the field of marine environmental monitoring technology. It includes an USV hull, hyperspectral observation equipment, a water sampling and detection device, and a controller. By installing a cabin and a hinged door on the USV hull, and housing the height-adjustable hyperspectral observation equipment, the system effectively protects the equipment when observation is needed. The door opens to extend the equipment from the cabin, and retracts it when observation is not required, then closes the door. The water sampling and detection device allows for timely and rapid sampling of polluted water, analysis of the samples, and output of results. This invention integrates hyperspectral observation and water sampling and detection, effectively protecting the hyperspectral observation equipment while simultaneously enabling sampling of polluted water, thus improving the effectiveness of pollution evidence collection.

The invention relates to the technical field of biomedical engineering, and discloses an electromyographic signal simulation display method and system, and the method comprises the steps: carrying out the channel analysis and synchronous verification of a mixed signal sequence, and constructing a shunt signal which retains the time sequence correlation; extracting envelope features of the signals and performing trend fitting correction to generate initial intensity distribution; constructing an interference distribution diagram based on cross-correlation analysis, and determining an intensity correction value by using adaptive filtering and residual analysis; carrying out reverse reconstruction on the signal in combination with a tissue impedance model, and restoring real muscle activity distribution; and finally, mapping the distribution data to a visual model, and generating a muscle activity image through interpolation and sharpening processing. According to the method, the problem of low visual image accuracy in the prior art can be solved.

The invention discloses a high-precision building inclination angle detection method, system and equipment, and relates to the technical field of building measurement. The method comprises the following steps: the micro-control unit receives original detection data transmitted by the inertial measurement unit; the inertial measurement unit preprocesses the original detection data through multi-stage filtering to obtain optimized detection data; the inertial measurement unit performs data fusion processing on the optimized detection data to obtain a three-axis Euler angle; and after receiving the alarm threshold value sent by the micro-control unit, the inertial measurement unit outputs alarm judgment by comparing the alarm threshold value with the three-axis Euler angle. The technical problems of insufficient building inclination angle detection precision and poor anti-interference capability in the prior art are solved, and the technical effects of improving the building inclination angle detection precision and enhancing the data stability and the anti-interference capability are achieved through multi-stage filtering and data fusion processing.

The application relates to the field of satellite positioning technology and discloses a power transmission line monitoring point accurate positioning method and device based on Beidou positioning, which comprises the following steps: collecting original satellite observation data of a monitoring point through a Beidou positioning terminal, completing quality screening according to a carrier-to-noise ratio and a multipath error to obtain first positioning observation data; carrying out collaborative filtering combined with reference data of a preset Beidou reference station along a power transmission line to obtain second positioning observation data; determining an initial positioning coordinate according to the second positioning observation data and an accurate coordinate of the reference station; performing three-dimensional reconstruction on design drawing data and tower structure parameters of the power transmission line to obtain a three-dimensional space data model; and performing space positioning correction on the initial positioning coordinate and accurate space coordinates and structure parameters of the tower in the three-dimensional space data model to obtain a target accurate positioning coordinate; and the application can improve the efficiency of the power transmission line monitoring point accurate positioning based on Beidou positioning.

The present application relates to a method for constructing a liver organoid based on human IPSC and its application in drug hepatotoxicity evaluation. Specifically, the present application relates to a method for inducing and differentiating iPSC in vitro to form a liver organoid, a liver organoid derived from iPSC cells and the application of the organoid in drug hepatotoxicity evaluation.

The present application relates to the technical field of device testing method, and particularly relates to a kind of integrated vacuum pump testing method, comprising the following steps: establishing adsorption saturation state in closed test cavity, including filling mixed gas into test cavity, gradually reducing the temperature of cavity wall of test cavity, so that gas molecules are adsorbed on the inner wall of cavity;Apply sudden load to the vacuum pump to be tested, including starting the vacuum pump while triggering the infrared heating module, so that the temperature of the cavity wall of the test cavity rises to a predetermined temperature at a predetermined heating rate;Collect desorption dynamic parameters to generate desorption characteristic values, including real-time monitoring of gas release during the desorption process, combining desorption time constant and average vacuum, to calculate the release rate of adsorbed gas.The present application improves the accuracy and repeatability of evaluating the weak gas handling performance of the vacuum pump, and is suitable for quality detection and dynamic performance comparison analysis of high-sensitivity vacuum devices.

This invention discloses a method and system for joint prediction of meteorological, wind, solar, and energy storage power based on ultra-long context, belonging to the field of power system prediction technology. The method constructs a multi-agent collaborative architecture for data cleaning, time alignment, context generation, and joint prediction, achieving automatic processing and efficient organization of historical data on wind power, solar power, and energy storage. By introducing an ultra-long context input mechanism spanning seasons and years, it overcomes the limitations of traditional model context length, achieving unified modeling and collaborative representation of multi-source data from different frequencies. Based on this, it utilizes a large time-series model to conduct zero-sample joint prediction, and combines physical constraints such as wind power curves, solar irradiance, and energy storage state of charge to construct a wind-solar-storage coupling consistency correction mechanism to optimize the prediction results. This invention effectively improves the multi-source covariate fusion capability and prediction accuracy, possessing good generalization performance and engineering adaptability.

The utility model discloses a die heat treatment surface temperature monitoring device, which relates to the technical field of die processing and comprises a temperature detection module, a mounting base, an elastic heat conduction component, a heat dissipation structure and a protective cover, the elastic heat-conducting parts are arranged on the contact surface of the base in an array, the tail ends of the elastic heat-conducting parts are provided with protruding heat-conducting contacts, and the elastic heat-conducting parts are adaptively attached to the complex curved surface of the mold through elastic force of pressure springs to eliminate probe suspension and ensure continuous and stable temperature detection. The temperature detection module is embedded in the base, the induction end extends to the root of the contact, the surface temperature is directly collected, and heat loss is reduced. The heat dissipation structure rapidly leads out module heat through the array fins, and high-temperature failure of the sensor is avoided. The protection cover is composed of a ceramic heat insulation layer and a metal protection layer, and the protection cover is combined with an annular airflow channel and heat dissipation protrusions to isolate external high temperature and enhance heat dissipation. Through the design of elastic attachment, accurate temperature measurement and efficient heat dissipation, the temperature monitoring accuracy and high-temperature working condition stability in the heat treatment process of the complex mold are improved, and the process quality is guaranteed.

The invention discloses an electric submersible pump working condition pressure sensor data preprocessing method. The method comprises the following steps: S1, receiving data of a working condition pressure sensor; s2, filtering the received initial data, removing high-frequency noise and interference, and retaining key fluctuation and change information; s3, performing normalization processing on the filtered data, and scaling the data to a specific range to ensure data consistency and comparability; s4, sampling is carried out on the data after linear normalization, the data dimension and storage requirements are reduced, and meanwhile key features of the data are reserved; and S5, outputting data. The method has the beneficial effects that the data quality and stability are improved by preprocessing the data of the pressure sensor; interference of noise and abnormal values is effectively reduced, working condition monitoring accuracy is improved, and prediction and diagnosis capabilities are enhanced; reliable basic data are provided for subsequent analysis and judgment of working conditions, and a solution provided for monitoring and management of an electric submersible pump system is more reliable and efficient.

The present invention provides a positioning tool for a nuclear power plant fuel assembly, comprising: a mounting base, the mounting base is used to be horizontally placed on the top of a storage grid of a spent fuel pool; a translation guide, the translation guide is arranged at the bottom of the mounting base, the translation guide is used to extend downward into a receiving groove of the storage grid to slide with the storage grid; a height adjustment frame, the height adjustment frame is arranged on the top of the mounting base; a telescopic drive device, the telescopic drive device is arranged on the height adjustment frame, the telescopic drive device has a force-applying end that is telescopic in the horizontal direction; a positioning push piece, the positioning push piece is arranged at the force-applying end, the positioning push piece is used to horizontally abut against a fuel assembly; a hoisting piece, the hoisting piece is arranged on the height adjustment frame. The present invention can realize the positioning function of the nuclear power plant fuel assembly during the poolside inspection process, and can be moved to multiple preset positions through the hoisting equipment to achieve mobility.

The invention discloses an intelligent management and control method for installation of a box girder embedded part. The method comprises the steps that a box girder pouring mold model is established; the embedded part is matched to the installation position on the box girder pouring mold, and a model of the embedded part is arranged; extracting position information and height information of the embedded part on the embedded part; an image acquisition device is adopted to acquire installation image data of the embedded part; extracting specific position data of the embedded part on the bottom plate of the box girder pouring mold according to the installation image data, wherein the specific position data comprises actually measured position information and actually measured height information; and comparing the actually measured position information and the actually measured height information with comparison data of corresponding models in a database, judging whether requirements are met or not, and if not, performing adjustment until the requirements are met. According to the method, the installation quality of the embedded part can be judged, if the requirement is met, the embedded part is qualified, otherwise, adjustment is conducted, installation quality monitoring of the embedded part is rapidly achieved, efficiency and accuracy are improved, and time and labor are saved.