60results about How to "Assess stability" patented technology

The invention provides a 110V transformer winding insulation resistance absorption ratio detection method, which belongs to the technical field of transformer windings, and is characterized in that transformer operation state parameters and environmental influence factors are acquired through a multi-channel synchronous acquisition system, and thermodynamic and electrical models are established. The research adopts methods of principal component analysis, numerical integration and the like, an insulation resistance change rule is analyzed under a standard test voltage, a weight coefficient matrix is constructed in combination with an operation state and an environmental factor, a measured value is corrected through multiple linear regression and a correction coefficient method, and finally, the insulation resistance is obtained through statistical average and standard deviation analysis. The accurate evaluation of the insulation resistance absorption ratio of the transformer winding is realized; according to the method, the influence of the complex working environment and the operation state of the transformer on the insulation performance is fully considered, and the problem that various complex factors in the operation process of the transformer cannot be comprehensively considered and compensated in the prior art is solved by adopting the means of mathematical modeling, data correction, statistical analysis and the like; therefore, the technical problem of large deviation of the measurement result is solved.

The invention relates to the technical field of electric power data analysis, in particular to an electric power data analysis method and device based on graph calculation, and the method comprises the steps: constructing an electric power network graph, carrying out the deep learning processing of multi-dimensional and heterogeneous data, and analyzing a dynamic change prediction trend; power dispatching is optimized in combination with reinforcement learning, an optimal power dispatching decision is matched with minimization of energy loss as a target, the technical problems that high-dimensional data and heterogeneous data are complex to process, the change trend of the power system cannot be accurately predicted and an effective dispatching decision is lacked in the operation process of the power system are solved, and the power system can be effectively dispatched according to the real-time power grid operation state and the prediction trend. According to the method, the aim of self-adaptive strategy optimization learning is achieved, power dispatching flexibility is greatly improved, energy loss minimization is taken as the aim, an optimal power dispatching decision is accurately matched through continuous iterative optimization, power system data analysis efficiency is improved, and strategies are adjusted to cope with continuously changing supply and demand conditions and power grid operation conditions; and the overall stability and reliability of the power grid are improved to the greatest extent.

The invention relates to the technical field of fault analysis, in particular to a power grid fault positioning system and method based on traveling wave ranging, and the system comprises a signal capturing and analyzing module, a dynamic tracking and recognizing module, a nonlinear feature analyzing module and a fault positioning and reconstructing module. According to the invention, each instantaneous point of the signal is tracked carefully, so that the positioning of the fault is more accurate, the actual influence of the fault on the stability of the power grid can be evaluated more comprehensively by extracting the nonlinear characteristic value in the traveling wave signal and analyzing the dynamic characteristics of the fault signal through data, and the improvement of the propagation path of the signal is tracked reversely. According to the method, the positioning of a fault point not only depends on theoretical data, but also is checked by combining actual geographic data, so that the accuracy of fault source positioning is greatly improved, a method integrating signal analysis and geographic data provides a more systematic and comprehensive fault response mechanism, the maintenance operation of a power system is optimized, and the reliability of the power system is improved. The power supply interruption time caused by a fault is remarkably shortened.

The invention discloses a printed circuit board defect online full-automatic detection method and system based on data analysis, relates to the technical field of printed circuit board performance testing, and realizes comprehensive evaluation of circuit board performance through steps 1 to 4. By configuring a test system and setting test conditions, accurate installation and debugging of each test module are ensured; a power supply stability index Dyw, a power supply switching fault-tolerant index Qhrc, a thermal stress index Ryl, a mechanical stress index Mvz, an electromagnetic compatibility index Jrx, a resource contention index Zyzq and a self-repairing index Xfz are calculated, a comprehensive evaluation index Pc is obtained through associated calculation, performance evaluation is carried out, and whether the circuit board is qualified or not is effectively judged. And when the comprehensive evaluation index Pc is lower than a first performance threshold value X, generating a performance disqualification label, and performing in-depth grading evaluation through a second multi-stage evaluation module, thereby promoting identification of specific performance defects.

The utility model discloses a robot debugging platform which comprises a base, a fixed placing table and a movable placing table, the fixed placing table and the movable placing table are detachably installed on the base, the movable placing table comprises an inclined plate, and a placing plate is installed on the inclined plate; the inclined plate rotates relative to the fixed placing table through the adjusting assembly and forms a slope for the robot to climb, a plurality of protrusions are detachably installed on the slope, and a storage cabinet is arranged at the bottom of the base. According to the utility model, the simulation of a complex slope terrain can be realized through the plurality of bulges, so that debugging personnel can comprehensively and accurately evaluate the trafficability and the stability of the robot in an actual slope environment, and a more comprehensive test basis is provided for the optimization and improvement of the robot in a design stage; the use reliability of the device is improved; and the multiple protrusions can be stored in a centralized mode through the storage cabinet, and the situation that the multiple protrusions are scattered at will and are lost is avoided.

The utility model relates to the technical field of angle steel members, and discloses an angle steel member compression test loading device which comprises a base, the upper surface of the base is fixedly connected with a reaction frame through bolts, the reaction frame is provided with an angle steel member, and the reaction frame is provided with a first detection device and a second detection device. The first detection device is used for detecting the stress condition of the angle steel component in the vertical direction, the second detection device is used for detecting the stress condition of the angle steel component in the horizontal direction, the first detection device is provided with a fixing device, and the fixing device is used for fixing the detected angle steel component. According to the method, the compression resistance and the stability of the angle steel component can be evaluated more accurately, more reliable reference is provided for engineering application, the stress condition of the angle steel component in the vertical direction can be comprehensively understood, including the degree, the distribution, the development trend and the like of compression deformation, and the stress performance and the deformation mechanism of the angle steel component can be understood more deeply.

The invention belongs to the technical field of building construction hidden danger point monitoring data analysis, and relates to a building construction hidden danger point monitoring data analysis method. By analyzing the basic hidden danger existence condition and the supporting hidden danger existence condition of each specified building construction hidden danger point, potential construction hidden dangers can be found in time, so that remedial measures are taken, accidents are avoided, the stability and safety of a supporting structure can be evaluated, the possible supporting failure problem can be early warned in time, and the safety of a building is improved. Therefore, potential safety hazards in construction can be recognized and solved more accurately, the occurrence rate of safety accidents is reduced, the overall safety of a construction site is improved, problems and bottlenecks in the construction process can be found in time by analyzing the potential safety hazard existence conditions of all designated building construction potential hazard points in the construction process, and the construction safety is improved. And targeted measures are taken for solving, so that potential safety problems can be found and handled in time, and the life safety and property safety of constructors are guaranteed.

The invention provides a Flash memory testing method and device, electronic equipment and a storage medium, and relates to the technical field of testing. The method comprises the following steps: writing first test data into a Flash memory through data read-write software of an upper computer; reading the first storage data in the Flash memory through the data read-write software, verifying the write-in condition of the first test data according to the first storage data to obtain a write-in verification result, and controlling the relay to be disconnected when the data is successfully written in; controlling the relay to be closed after a first preset time is continued, reading second storage data in the Flash memory through the data read-write software, and verifying the reading condition of the first test data according to the second storage data to obtain a read verification result; and circulating the steps for multiple times, and evaluating the read-write stability of the Flash memory according to the obtained write-in verification results and read verification results for multiple times, thereby realizing the read-write stability test of the Flash memory with low cost.

The invention relates to the technical field of power distribution and utilization and communication, in particular to a multi-source wide-area power distribution and utilization terminal time correction method and device, electronic equipment and a chip. The time correction method comprises the steps that a multi-source fusion power distribution and utilization terminal obtains reference time service time based on a preset reference time service source or based on multiple different time service sources, a time service deviation value between the reference time service time and the time service time of the to-be-corrected time service source is calculated, a time service time optimization parameter is determined according to the time service deviation value in combination with a moving average filtering algorithm improved based on Pearson's correlation, and the time service time optimization parameter is used for correcting the time service time of the to-be-corrected time service source. When time service time optimization parameters are determined, a moving average filtering algorithm which is improved based on Pearson's correlation is combined, and the correlation between data is considered, so that noise can be effectively filtered, time deviation can be smoothed, the accuracy of time service correction is improved, and the high-accuracy time service synchronization requirement of the power distribution and utilization terminal in a power system is met.

The invention provides a method, a system, equipment, a medium and a program product for identifying candidate functional SNP (Single Nucleotide Polymorphism), and a method, a system, equipment, a medium and a program product for identifying myopia-related candidate functional mutation sites, and relates to the field of biological analysis. According to the invention, transcription and post-transcription regulation are comprehensively integrated, and a macroscopic view of myopia potential genetic molecule imbalance is provided for the first time. The method can be used for researching the possible genetic mechanism of the SNP with the undefined function to other human diseases, so that the interpretability of the SNP related to the diseases is enhanced.

The invention discloses a live-action interactive intelligent experience system and evaluation method for safety training, and the system comprises a live-action digital twinning module which constructs a refined three-dimensional model consistent with a real scene through multi-source data fusion, the model integrates geometric information, physical attributes, business rules and real-time state data, the digital twin base forms a training environment; an intelligent interaction hardware layer; a central processing and logic engine; and the management monitoring end is used for real-time monitoring, data visualization and manual intervention in the training process. According to the method, a refined three-dimensional model consistent with a real scene is constructed through multi-source data fusion, and physical attributes and business rules are injected to form a dynamically responsive digital twin base, so that trainees face virtual disasters in a real environment, and the immersion and actual combat of training are improved.

The invention provides a method and a kit for detecting blood concentration of compound sulfamethoxazole and metabolite thereof. According to the method, a methanol precipitator is combined with Oasis PRiME HLB reversed-phase solid-phase extraction, the centrifugal process of plasma treatment is reduced, traditional activation and balance steps are omitted, time is saved, meanwhile, the method is more environmentally friendly, and the extraction recovery rate of a to-be-detected substance can be improved; gradient elution is replaced by isocratic elution, the balance returning time is avoided, the overall operation time is shorter, the separation application is not influenced, the operation time is only 6 minutes, all the to-be-measured substances can be accurately and simultaneously measured only by 1 microliter, and the peak appearance time is 2 minutes. According to the invention, trimethoprim, sulfamethoxazole and metabolites thereof sulfamethoxazole-N-acetyl and 4-nitro sulfamethoxazole in human plasma can be monitored at the same time by using a treatment method and a computer method.

The invention discloses a supervised learning-based drug and pathway association prediction method and system, and a medium, and belongs to the technical field of bioinformatics, and the supervised learning-based drug and pathway association prediction method comprises the following steps: obtaining a training sample set associated with a drug pathway; constructing a plurality of drug pathway sample feature representation vectors; constructing a drug pathway association prediction model based on a supervised learning training algorithm at least according to a training sample set associated with the drug pathway and the plurality of drug pathway sample feature representation vectors; and acquiring an actual drug pathway sample feature representation vector, inputting the actual drug pathway sample feature representation vector into the drug pathway association prediction model, and predicting and outputting a drug and pathway association result by the drug pathway association prediction model. According to the method, a potential drug and pathway association result is identified, and valuable information is provided for drug research and development and biological research.

The invention discloses a slip crack surface determination method for a rock slope containing a non-through interlayer, and belongs to the technical field of geotechnical engineering and geological disaster prevention and control, and the slip crack surface determination method comprises the following steps: step 1, determining basic parameters of the rock slope and parameters of the non-through interlayer of the slope; 2, establishing a geometric model of the rock slope, and analyzing a potential sliding surface of the slope; and step 3, dividing the sliding block into three parts. And 4, establishing an equilibrium equation, and solving to obtain an expression of the interaction force. And step 5, determining the inclination angle of the lower sliding surface and the upper sliding surface through derivation and making the derivative equal to zero, and further determining the projection length in the horizontal direction. According to the method, the slip crack surface containing the non-through interlayer rock slope can be effectively determined, a scientific basis is provided for design and stability analysis of slope engineering, the slip crack surface of the non-through interlayer rock slope can be determined only by determining the most common rock-soil body parameters, the process is simple, and the prediction result is reliable.

The invention relates to the technical field of vehicle testing, in particular to a safety testing method for vehicle charging interface information, which comprises the following steps: sending normal and forged charging demand messages to a to-be-tested vehicle, and obtaining a demand response result of the to-be-tested vehicle; the vehicle to be tested is charged, normal signal data and forged signal data in the charging process are sent, and charging feedback information of the vehicle to be tested is collected; performing charging interruption forgery operation on the to-be-tested vehicle, sending a forgery charging interruption message, and obtaining a charging interruption response result of the to-be-tested vehicle; sending an invalid message to the to-be-tested vehicle for testing, and obtaining the charging system stability and the time verification capability of the to-be-tested vehicle; and evaluating the comprehensive performance of the to-be-tested vehicle and the charging pile under different attacks and forged data, and outputting a safety evaluation report. According to the method, the comprehensive performance of the vehicle and the charging pile under different attacks and forged data can be effectively evaluated, and a complete safety evaluation report is efficiently formed.

The invention relates to the technical field of machining, and particularly discloses a device and method for offline detection of a tool setting gauge, and the device comprises a mounting platform, one side of the top of the mounting platform is fixedly connected with an erecting plate, the top of the surface of the erecting plate is fixedly connected with a mounting frame, and the inner wall of the mounting frame is fixedly connected with a servo motor. A driving rod is mounted at the output end of the servo motor, a lead screw is fixedly connected to the bottom end of the driving rod, the bottom end of the lead screw is rotationally connected to the top of the mounting platform, and a threaded sleeve is in threaded connection with the surface of the lead screw; the grating ruler is adopted as a position feedback encoder, the high-precision analog quantity module is combined, accurate measurement and feedback of the position of the tool simulator are achieved, meanwhile, due to automatic control of the PLC control unit and quick response of the servo motor, the detection process is more efficient, the detection precision and efficiency of the tool setting gauge can be remarkably improved, and the detection precision and efficiency of the tool setting gauge are improved. Therefore, machining precision and stability of the numerical control machine tool are ensured.

The present application belongs to the field of electric power, and particularly relates to a regional power grid stability detection method and system. The method comprises determining a first time for a grid-connected power supply to access a regional power grid to a stable state of the regional power grid; obtaining a first output value of the grid-connected power supply; and calculating a power grid stability value according to the first output value and the first time. By determining the stable state of the regional power grid, it can be shown that the grid-connected power supply will not have a destructive impact on the regional power grid. By the access time, the time when the grid-connected power supply has an impact can be determined. By the first output value of the grid-connected power supply and the first time, the change generated by the grid-connected power supply within a specific time and the feedback received can be determined to evaluate the stability of the regional power grid.

The invention discloses a satellite data traffic measurement method and system, and belongs to the technical field of satellite networks. In order to solve the problems of poor satellite network flow measurement precision and high complexity in the prior art, the invention provides a satellite data flow measurement method, which comprises the following steps: determining a satellite node for data flow measurement, and initializing a configuration probability data structure algorithm and an imitation learning algorithm; sampling network flow in a period of time, judging whether a data flow jitter value in the period of time exceeds a threshold value or not, and if the data flow jitter value exceeds the threshold value, generating a flow value according to a label value and an expert strategy by utilizing an imitation learning algorithm; if not, using a probability data structure algorithm to measure and record a label value, and generating an expert strategy according to the label value; and completing measurement. According to the method, resource utilization is reasonably optimized while the measurement accuracy is improved, high-precision and high-timeliness satellite flow measurement is achieved through mutual complementation of the probability data structure algorithm and the imitation learning algorithm, and the method is low in hardware dependency, high in precision, high in intelligence and high in adaptability.

The invention relates to the technical field of coal mining, and provides an oil and gas well instability analysis method and system during coal and oil simultaneous mining. In the method, for an oil-gas well under a non-mining condition, when an actual weak plane inclination angle beta of a rock stratum of the oil-gas well is greater than a critical weak plane inclination angle of the rock stratum of the oil-gas well, a limit horizontal stress sigma 1, sigma 2, sigma 3, sigma 4, sigma 5, sigma 6, sigma 7, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8, sigma 8 comparing with the actually measured horizontal stress sigma '1 in the rock stratum of the oil-gas well, and judging the instability of the oil-gas well according to the comparison result; and for an oil and gas well under the mining condition, the stability of the oil and gas well is evaluated according to the constructed oil and gas well instability judgment model under the mining condition, so that the stability of the gas well is evaluated by analyzing the influence of weak plane cohesion on mechanical behaviors of a rock stratum under the biaxial and triaxial stress conditions. And guidance is provided for oil-gas well stability prediction and evaluation and oil-gas well drilling design under the condition of simultaneous production of kerosene and oil.

The invention discloses a testing device for detecting the mechanical performance of a control panel of an unmanned aerial vehicle, and belongs to the field of unmanned aerial vehicles, the testing device comprises a workbench arranged on a base, and the workbench is provided with a pressure detection unit for detecting the compressive performance of the control panel. The pressure detection unit comprises a support plate which moves in the same direction as the second clamp through a power assembly, the top of the support plate is provided with a pressure testing assembly through a mounting plate, and the pressure testing assembly can achieve multi-angle pressure testing on the control panel through cooperation of the support plate and the mounting plate. According to the testing device for detecting the mechanical performance of the unmanned aerial vehicle control panel, the mechanical performance of the unmanned aerial vehicle control panel in different stress directions and angles can be comprehensively tested through the pressure testing assembly which is adjusted at multiple angles, and the performance and stability of the control panel in a complex environment can be evaluated more accurately; therefore, the safety and reliability of the unmanned aerial vehicle in actual use are ensured.

The invention discloses a standard concrete test piece and a calibration method of a concrete test piece size non-contact measurement system using the standard concrete test piece, the standard concrete test piece comprises a test piece body, the test piece body is a rectangular block body, the test piece body is provided with a size detection module, an angle detection module and a flatness detection module, and the size detection module is connected with the angle detection module. The size detection module has three different size standard values set for the lengths of the test piece body on three orthogonal dimensions, and the flatness detection module has three different flatness standard values set for steps of the test piece body on three orthogonal dimension planes. The angle detection module has three different angle standard values for setting included angles which are formed by three groups of adjacent surfaces of the test piece body and are positioned on three orthogonal dimension planes. According to the invention, the number of standard components is reduced, the storage and transportation cost is reduced, the measurement error caused by the difference between test pieces is effectively weakened, the accuracy and repeatability of the measurement result are improved, and the detection efficiency is improved.

The invention relates to a testing device and a testing method for the volume stability of concrete in a gobi desert erosion environment based on a DIC technology, and belongs to the technical field of concrete performance detection. In order to solve the problem that the concrete performance in the severe environment of the gobi desert cannot be detected at present, an erosion environment simulation system, a DIC image acquisition system and an image data analysis and calculation system are arranged, and the erosion environment simulation system comprises an environment simulation box and an equipment control box; the DIC image acquisition system comprises an electric slide rail, a CCD (Charge Coupled Device) industrial camera, an industrial lens and a data transmission line and is used for performing image acquisition on the concrete test piece, and the image data analysis and calculation system is used for processing image information transmitted by the CCD industrial camera and calculating the volume stability of the concrete test piece. According to the invention, the whole-process detection of the concrete volume stability change in the gobi desert erosion environment can be realized, the equipment operation is simple, and theoretical basis and data support are provided for the research and application of the concrete performance in the harsh environment.

The present invention discloses a method and system for testing the charging efficiency of a wireless charging system, the method comprising: obtaining a coordinate origin; starting from the coordinate origin, driving a receiving end to move along a first direction axis on a first plane, obtaining a first efficiency curve of the wireless charging system when the receiving end moves along the first direction axis; starting from the coordinate origin, driving the receiving end to move along a second direction axis on the first plane that is perpendicular to the first direction axis, obtaining a second efficiency curve of the wireless charging system when the receiving end moves along the second direction axis; starting from the coordinate origin, driving the receiving end to move along a third direction axis that is perpendicular to the first plane, obtaining a third efficiency curve of the wireless charging system when the receiving end moves along the third direction axis. The present invention can test the effective coupling distance and charging efficiency of the wireless charging system in three directions by obtaining the charging efficiency of the wireless charging system when the receiving end moves on the three direction axes respectively.

The invention provides a method, a system and equipment for predicting an RNA variable region structure, a medium and a program product, and relates to the field of biological analysis. The method comprises the following steps: obtaining an RNA secondary structure set through target RNA; performing clustering analysis on the RNA secondary structure set to obtain at least two clusters, and selecting a centroid structure and an energy value of each cluster; and comparing the energy values of the centroid structures, and selecting the centroid structure with the lowest energy value as the predicted RNA structure closest to the real structure. The invention also discloses a method, a system, equipment, a medium and a program product for identifying the change of the RNA structure based on the SNPs, and the change of the RNA structure is identified through the SNP.

The invention provides a method, equipment, a medium and a program product for horizontally recognizing RNA (Ribonucleic Acid) structure change after genome transcription, and relates to the field of biological analysis. The method comprises the following steps: obtaining SNPs to be detected; calling Ref and Alt sequence pairs on the basis of the SNPs to be detected; rNA secondary structure features are extracted based on the Ref and Alt sequence pairs; the secondary structural features comprise subunits B, E, H, I, M and S, and the number, length and position of each subunit; b, E, H, I, M and S subunits are calculated by using Euclidean distance, and the number, length and position of each subunit are used to quantify the structural difference between the Ref sequence and the Alt sequence to obtain a difference value; and identifying the influence of the SNP on the RNA structure change based on the difference value. According to the invention, the change of an RNA structure is identified through SNP in a gene transcription level.

The invention discloses a method for efficient simulation of TACAN navigation, comprising the following steps: S1, defining coarse angular resolution and fine angular resolution; S2, calculating the signal propagation result by the initial first simulation sampling and recording it; S3, simulating the rotation antenna according to the fine resolution; S4, if the angle variation exceeds the coarse angular resolution, then performing electromagnetic propagation simulation calculation of the signal; S5, looping the intermediate sampling points according to the simulation result of the sampling point of the last simulation calculation and the simulation result of the sampling of the current simulation calculation, and obtaining the simulation result by interpolation calculation; S6, summarizing all the radio wave propagation results to obtain the simulated angle measurement result. The angle resolution of TACAN angle measurement is processed by the interpolation method, and the simulation analysis is performed using a larger coarse angular resolution. The angle resolution between the results of the two analyses is quickly obtained using the linear interpolation method, thereby reducing the calculation amount of the simulation processing to one tenth of the original amount, and greatly improving the processing efficiency of the simulation.

The present application belongs to the field of bridge engineering technology, and discloses a large-scale cast-in-place beam support foundation treatment construction method in a large-scale shallow karst cave area, including: geological survey and program planning, using geological radar for comprehensive scanning, formulating foundation reinforcement treatment and karst cave treatment plans; foundation treatment, including removing original soil, replacing gravel cushion layer, pouring concrete cushion layer and preloading of site; karst cave treatment, formulating a comprehensive treatment plan according to the type, size, filling condition and surrounding environment of the karst cave; support erection and preloading, including support erection and support preloading; construction monitoring, monitoring foundation settlement, support deformation and displacement of surrounding structures. The present invention combines the results of geological survey and radar data analysis to accurately evaluate the impact of karst caves on foundation stability, formulate a reasonable foundation treatment plan, and effectively protect the hole wall and prevent collapse by taking different treatment measures for shallow karst caves and deep karst caves, thereby significantly improving the bearing capacity and stability of the foundation.

The invention discloses a hydropower station stability remote test method and device and a storage medium. The method comprises the steps that operation information of a generator set is collected in real time; the collected information is remotely transmitted; the company-side big data center processes the received data through a preset algorithm, including the steps of cleaning the data, analyzing the data and modeling the data; according to the processed information, the stability level of the water-turbine generator set is evaluated, and the evaluation is based on whether stability key parameters measured by a water level lifting test, a variable rotating speed test, a variable excitation test and a variable load test include a vibration value, a throw value and a pressure pulsation value are located in a stable operation area or not. The test efficiency and accuracy are improved; meanwhile, the test cost is reduced, and the damage of a traditional test method to equipment is avoided.

The invention discloses a big data BI analysis system, and particularly relates to the technical field of big data analysis, which comprises the steps of determining the probability distribution of production characteristic data through the production characteristic data of a production component in historical operation, and analyzing the probability density of each production characteristic of the production component and the objective function of each characteristic. The method comprises the following steps: acquiring historical feature information of a production component, acquiring real-time production feature data of similar production components in an operation process, indirectly measuring a fluctuation amplitude through a peak value and a valley value extracted after continuous wavelet transform, acquiring stability information of the similar production components, and comparing with the similarity of the historical feature data to obtain the stability of the similar production components. According to the method, the difference information of the similar production components is obtained, the stability information and the difference information of the similar production components are comprehensively analyzed, the similar production components are selectively replaced and adjusted, the performance and stability of the components can be accurately evaluated, and decisions in the production process are optimized.

The invention discloses a navigation equipment active electromagnetic environment evaluation system and an evaluation method thereof, and the system specifically comprises an electromagnetic environment data acquisition module which is used for extracting navigation equipment active electromagnetic environment data from historical data, carrying out the arrangement, and obtaining an active electromagnetic environment data set; and the electromagnetic environment stability evaluation module is used for analyzing the active electromagnetic environment data set based on the obtained active electromagnetic environment data set and evaluating the stability of the active electromagnetic environment. The evaluation strategy is dynamically adjusted, unnecessary frequent evaluation is reduced, the evaluation efficiency is improved, the evaluation period is prolonged when the electromagnetic environment is stable, waste of manpower, material resources and time resources is effectively reduced, resource utilization is optimized, and when the electromagnetic environment is unstable, the evaluation interval is intelligently selected according to historical data, so that environment changes can be responded, and the evaluation efficiency is improved. Flexibility and adaptability are improved, the stability and historical data of the electromagnetic environment are comprehensively considered, and the accuracy of an evaluation result is improved.