120 results about "Data continuity" patented technology

The invention discloses a tunnel deformation real-time early warning method and system based on an LSTM-CNN model, and belongs to the technical field of tunnel engineering safety monitoring. The method comprises four steps of data acquisition, spatio-temporal feature fusion processing, deformation prediction and risk assessment, and intelligent early warning and decision support: collecting multi-dimensional monitoring data through a distributed sensor network and recording spatio-temporal labels; after standardized noise reduction, extracting time trend and spatial distribution characteristics by using an LSTM-CNN fusion model, and constructing a time-space sequence data set; outputting a deformation prediction value based on the fusion features, and calculating a deviation degree in combination with a dynamic threshold model; and triggering multi-level early warning according to the deviation degree and performing visual display. The system comprises a data acquisition module, an edge calculation module, a cloud analysis module and an intelligent terminal module, and double-channel redundancy transmission is adopted to guarantee data continuity. Through spatio-temporal feature collaborative mining, dynamic threshold value adaptation and graded early warning, the deformation prediction precision and the risk assessment accuracy are improved, the transmission stability in an extreme environment is guaranteed, and the early warning decision efficiency is optimized.

The invention discloses a UWB (Ultra Wideband) ranging error suppression method fusing a black-wing plinary algorithm and an information entropy adaptive adjustment mechanism. The method comprises the following steps: firstly, identifying a non-line-of-sight signal by combining a ranging residual error, a first-order difference and a sliding window strategy; abnormal values are removed based on residual errors, missing data are compensated through segmented three-time Hermite interpolation, and data continuity and smoothness are guaranteed; calculating Shannon information entropy by using sliding window kernel density estimation, dynamically quantifying residual distribution uncertainty, adaptively adjusting Kalman gain, and realizing weight real-time adjustment; meanwhile, the initial parameter configuration of the filter is optimized by adopting a black-wing algorithm, and the convergence and the overall stability of adaptive filtering are improved. Aiming at the problems of measurement abnormity and precision reduction caused by the fact that UWB distance measurement is easy to be shielded and interfered in the NLOS environment, the method can effectively inhibit distance measurement errors, overcomes the limitation that a traditional method depends on manual parameter adjustment, and provides powerful technical support for high-precision UWB distance measurement in the NLOS environment.

The invention provides a grounding wire state monitoring and early warning system and method based on a random forest algorithm, relates to the technical field of electric power safety monitoring, and solves the limitation problems of low efficiency, poor data continuity, inaccurate early warning judgment and the like in the existing scheme. In the system, a multi-source sensor network acquires multi-dimensional operation data corresponding to a grounding wire and transmits the data to a data acquisition terminal; the data acquisition terminal performs feature extraction processing to generate a feature vector set and uploads the feature vector set to the cloud data processing platform; the cloud data processing platform uses a random forest classification model, based on the feature vector set, realizes dynamic feature weight adjustment through feature importance analysis, constructs a hierarchical decision tree structure, identifies and outputs a grounding wire fault mode, and issues the grounding wire fault mode to the local early warning terminal; and the local early warning terminal provides early warning information for the ground wire site by adopting a graded and differentiated early warning mode. According to the invention, high-precision early warning and predictive maintenance of the state of the grounding wire are effectively realized.

The invention discloses a drainage pipe network data cleaning and intelligent repairing method fusing multiple models. The method comprises the following steps that S1, original monitoring data flow is collected; s2, carrying out the preliminary detection and elimination of the abnormity based on IQR; s3, performing upstream and downstream multi-source feature extraction and XGBoost weight analysis; step S4, multivariable depth autoregression prediction based on PatchTST is carried out; s5, generating and publishing continuous high-quality data; according to the method, the key technical problems of various abnormal types, incomplete abnormal detection, low cleaning and repairing precision, poor data continuity and trend consistency, high system integration and real-time processing difficulty and the like commonly existing in the actual collection and transmission process of the online monitoring data of the drainage pipe network are solved.

The invention discloses a multi-source geological disaster information intelligent processing method, and particularly relates to the technical field of geological disaster monitoring. The method comprises the following steps: collecting multi-source monitoring data such as remote sensing images, surface deformation, meteorology, underground water level and seismic micro-motion, and preprocessing to form a feature vector set; establishing a credibility weight matrix based on data continuity and consistency evaluation; main disaster-inducing factor combination features are extracted through an adaptive feature extraction model; constructing a disaster evolution graph in combination with historical disaster data; in the continuous monitoring process, when the node attribute variation rate in the atlas exceeds a threshold value and an abnormal path chain is formed, geological disaster early warning output is triggered; according to the method, heterogeneous data fusion and disaster factor dynamic modeling can be realized, and disaster prediction accuracy and response efficiency in a complex environment are improved.

The invention provides a multi-source data fusion correction method for a marine observation station, which belongs to the technical field of marine observation, and comprises the following steps of: establishing a hierarchical interpolation correction model comprising a weighted moving average algorithm and a space collaborative interpolation algorithm, and constructing a marine environment adaptive threshold adjustment mechanism based on a closed-loop feedback system; a Kalman filter is combined with a multi-factor coupling drift prediction model of a long-short-term memory network, a progressive degradation fusion strategy switched according to environmental conditions is designed, and a biological pollution gradual change detection correction model adopting a liquid neural network structure is constructed. A multi-source data quality evaluation system based on data continuity, numerical stability, consistency and historical reliability is established, high-precision self-adaptive fusion correction of the marine environment multi-source sensor data is achieved, and the technical problem that high-precision self-adaptive fusion correction of the marine environment multi-source sensor data is difficult to achieve is solved.

The invention discloses a metro vehicle supervision manufacturing multi-station data traceability control system, and relates to the technical field of industrial data traceability, and the system comprises a data collection module which obtains the original manufacturing data of each station of metro vehicle manufacturing; the feature extraction module is used for processing the original manufacturing data and generating behavior fingerprint vectors and station features; the identity analysis module is used for carrying out feature matching calculation and outputting a candidate component identity set and matching similarity; the logic verification module is used for carrying out logic consistency verification and determining the identity of the target component; and the traceability control module establishes a mapping relation with the original manufacturing data based on the identity of the target component, generates a unique traceability node, and writes the traceability node into a multi-station traceability data chain. According to the method, the problems of identification failure, data link breakage and affiliation errors caused by station switching or equipment sharing are solved, supervision data continuity and identity recognition accuracy are improved, and reliable support is provided for vehicle full-life-cycle data tracing.

The invention discloses a PLC and MES simulation interaction protocol conversion gateway realization method, and relates to the field of data interaction, and the method comprises the following steps: 1, collecting an original data flow of a PLC side heterogeneous industrial bus protocol and an interaction instruction of an MES side manufacturing execution layer protocol in real time, dynamically scanning the data flow through an abnormality diagnosis engine, and carrying out the dynamic scanning of the data flow through an abnormality diagnosis engine; identifying missing fields, transmission timeout or numerical value border crossing abnormal states in the PLC data, and generating an abnormal feature vector set carrying timestamps and associated point position labels; 2, constructing and pre-training an anomaly prediction model through a deep learning algorithm, and inputting an anomaly feature vector to the model; trend prediction and confidence evaluation of missing data are realized through a pre-training deep learning model, quantitative credibility support is provided while data continuity is ensured, it is ensured that an MES system can still operate continuously based on credible simulation data when equipment is abnormal, and the risk of production stagnation caused by forced interruption of a traditional gateway is avoided.

The invention discloses a plateau alpine region well logging information automatic updating system, relates to the technical field of well logging information, and collects an underground well logging state record set, dynamically adjusts a sampling strategy according to energy consumption and data characteristics, guarantees stable transmission and recombination of key data when a network is abnormal, and performs consistency check and missing completion on the data. According to the system, logging data can be automatically collected, dispatched, transmitted and complemented in the plateau and alpine regions, and through multi-source sensing, self-adaptive sampling, dual-channel communication and intelligent prediction, the real-time monitoring of the logging data can be realized, and the real-time monitoring of the logging data can be realized. The extreme environment problems of low-temperature network disconnection and insufficient power supply are effectively solved, data continuity and response timeliness are guaranteed, remote updating and closed-loop feedback are supported, high robustness and intelligent level are achieved, and the limitation that operation is unstable and response is not timely under the extreme condition in the prior art is broken through.

The invention discloses a landfill methane long-term monitoring static box device and method, and relates to the technical field of landfill methane emission monitoring. The device comprises a box body with an opening in the bottom, a gas conveying unit, a gas mixing unit, a one-way low-pressure relief valve, a detection module, a power supply unit and a control system. The method comprises a deployment stage, an initialization stage and a monitoring stage, and the methane emission rate can be calculated by automatically injecting air, mixing gas and collecting and transmitting data. According to the device and the method, automatic and long-term continuous monitoring is realized, multi-dimensional parameters are synchronously acquired, the monitoring efficiency and the data continuity are improved, the problems that a traditional static box depends on manpower, the data dimension is single and the like are solved, and data support is provided for an emission reduction strategy.

The invention provides a real estate operation management system based on digital twinning, which belongs to the technical field of real estate operation management, and comprises a data acquisition unit, a digital twinning modeling unit, an intelligent analysis unit, an intelligent investment attracting unit, an operation monitoring center unit and a customer experience platform unit, the digital twin modeling unit is connected with the intelligent analysis unit, the intelligent analysis unit is respectively connected with the intelligent investment attracting unit and the operation monitoring center unit, and the intelligent investment attracting unit and the operation monitoring center unit are both connected with the customer experience platform unit. According to the method, comprehensive mapping and dynamic optimization, data driving, real-time simulation optimization, predictive maintenance and resource dynamic allocation from a physical space to a virtual space are achieved, data continuity supports asset value long-term management from design and construction to operation maintenance, digital twin energy consumption optimization assists commercial land carbon production emission reduction by 30%, and the method is suitable for large-scale industrial production. And carbon transaction is participated to create additional benefits.

The invention belongs to the technical field of electronic measurement and control, and particularly relates to a seamless switching method for a VI source voltage range, and the system comprises a digital controller, a digital-to-analog converter, a programmable gain amplifier, an isolation switch module, a voltage maintaining and buffering module, a power amplifier, and a feedback measurement network. The digital controller is configured to receive a range switching instruction, manage the working state of the VI source, execute digital closed-loop voltage regulation and coordinate actions of all hardware components in the range switching process; a digital voltage reference generation module, a measuring range switching control logic module, a loop adjusting module and a high-precision clock synchronization unit are integrated in the digital controller. According to the invention, seamless switching of the output voltage can be realized, the test efficiency is obviously improved, the protection of the tested device is enhanced, and the data continuity and accuracy are improved.

The invention belongs to the technical field of environmental protection ecological monitoring, and particularly relates to an intelligent ecological environmental protection monitoring method and system based on artificial intelligence, and the method comprises the steps: integrating and constructing a multi-source data collection network, introducing a Q-Learning algorithm to dynamically adjust the sampling and cruising frequency, and achieving the multi-dimensional data collection; data abnormal values are identified and eliminated, and heterogeneous data are processed in a standardized mode; designing a cross-modal fusion network containing a coordinate attention mechanism, extracting various types of data features, and weighting by using an attention weight coefficient to generate a unified environment state vector; designing an intelligent analysis algorithm, intelligently identifying a pollution source, tracing the pollution source in combination with a graph attention network, and dynamically adjusting an early warning threshold in combination with a PPO algorithm; and optimizing a self-adaptive monitoring strategy, detecting a sensor fault through a self-encoder, and repairing missing data by adopting a K-nearest neighbor interpolation method to maintain data continuity. According to the invention, the coverage range of ecological monitoring can be effectively expanded, the data intelligent processing capability is enhanced, and the early warning accuracy and adaptability are improved.

The invention discloses a metering information data intelligent analysis method and system based on big data analysis, and belongs to the technical field of metering data analysis. Deploying distributed network probes and dividing network sections to form a dynamic monitoring range relationship; establishing a network virtual platform, and generating a reference and real-time parameter set through solid-state and dynamic mapping; parameters are analyzed according to a fixed period, and an error cost function is constructed to evaluate the metering executable degree; and evaluating association stability based on the performability, and judging whether to replace the mapping relation. According to the invention, dynamic monitoring and intelligent evaluation of metering information are realized, monitoring flexibility and evaluation accuracy are improved, and the problems of low metering efficiency, monitoring interruption caused by probe faults in traditional fixed mapping and poor adaptability in the prior art are solved. The method is suitable for network accurate metering and intelligent switching decision in scenes such as computer architecture application, and robustness and data continuity of network state monitoring can be improved.

The present disclosure provides a method, medium, and device for processing meteorological data based on improved moving average filtering. The method includes: collecting and cleaning original meteorological data to obtain to-be-processed meteorological data; performing weighted moving average filtering on the to-be-processed meteorological data to obtain filtered meteorological data; conducting trend analysis and boundary processing on the filtered meteorological data; and reconstructing the filtered meteorological data after being subjected to the trend analysis and boundary processing to ensure the data continuity and integrity. The present disclosure provides higher precision and reliability in the meteorological data processing process.

The application discloses a kind of based on the data processing method and system of monitoring bracelet, comprising: through the chip module built-in in monitoring bracelet, the physiological monitoring data of monitoring object is acquired;The abnormal interval of the physiological monitoring data is identified and classified;According to all the classification of abnormal interval, and the feature of abnormal interval under each classification, the adaptive feature of the monitoring object is constructed;Through the adaptive feature of the monitoring object, parameter mapping is carried out, and the parameter of data supplement model is generated;After data cleaning is carried out to each abnormal interval, data supplement model is used after parameter assembly, and data supplement is carried out.Can reflect the feature difference of individual under different abnormal state, realize individualized data analysis;More reasonable supplementary data is generated for different abnormal characteristics;Ensure that the generated data is consistent with normal data in numerical characteristics and dynamic trend, effectively improve data continuity and physiological rationality.

The invention relates to the technical field of data acquisition, in particular to a geographic information data field acquisition device which comprises a mounting plate, a mounting box mounted at the lower end of the mounting plate, a connecting plate arranged at the lower end of the mounting box, an aircraft mounted in the mounting box, a bearing frame mounted at the lower end of the connecting plate, and a supporting rod arranged on the side wall of the bearing frame. Bearing plates are symmetrically arranged on the bearing frame, a first sampling barrel is mounted between the bearing plates, a second sampling barrel is mounted below the first sampling barrel through a supporting column, sampling mechanisms and cleaning mechanisms for cleaning the sampling mechanisms to prevent blockage are arranged on the first sampling barrel and the second sampling barrel, and driving mechanisms are arranged in the first sampling barrel and the second sampling barrel. Water samples of different water layers are collected in a targeted manner, and the collection accuracy is improved; during sampling, the cleaning brush cleans the sampling hole, impurity blockage is avoided, and stable operation and data continuity of equipment are guaranteed; meanwhile, a water body is efficiently filtered through the centrifugal effect, large-particle impurities are removed, and the water sample purity and analysis data effectiveness are improved.

The invention provides a new energy ship power system data efficient transmission and storage method and system, and relates to the technical field of ship data processing. The method comprises the following steps: acquiring data generated by a new energy ship power system, acquiring the data at a preset high frequency through a data acquisition and storage module, and storing the data in a data recorder in real time; according to the ship docking state, connection is established through a data transmission module, and data stored in the data recorder is transmitted to an operation center in batches; the data processing module processes and analyzes the transmitted data to obtain operation information of the power system; according to the invention, ultrahigh fidelity acquisition and reliable storage of power system data are realized, the continuity and integrity of the data are improved, a shore-based data transmission channel with low cost, high efficiency and high reliability is constructed, the data transmission cost is remarkably reduced, and the power system reliability and operation safety of a new energy ship are improved.

This invention belongs to the field of electronic measurement and control technology, specifically a seamless switching method for VI source voltage ranges. The system includes: a digital controller, a digital-to-analog converter, a programmable gain amplifier, an isolating switch module, a voltage holding and buffer module, a power amplifier, and a feedback measurement network. The digital controller is configured to receive range switching commands, manage the operating state of the VI source, perform digital closed-loop voltage regulation, and coordinate the actions of all hardware components during the range switching process. The digital controller integrates a digital voltage reference generation module, a range switching control logic module, a loop regulation module, and a high-precision clock synchronization unit. This application enables seamless output voltage switching, significantly improves testing efficiency, enhances protection for the device under test, and improves data continuity and accuracy.

The invention discloses an unmanned aerial vehicle environment sensing and positioning method and system based on multi-sensor fusion, and belongs to the technical field of unmanned aerial vehicle positioning. The method comprises the following steps: acquiring original positioning information containing space coordinate information and time information; according to the invention, by calculating the positioning accuracy and the positioning offset degree of the original positioning information, the positioning stability of the original positioning information is comprehensively evaluated, and the original positioning information is divided into stable data and abnormal data; estimation parameters are obtained through calculation by means of stable points in the stable data, estimation points are generated in combination with points needing to be checked, correction values are generated based on the position deviation between the estimation parameters and the estimation points and used for correcting abnormal points in the abnormal data, and therefore correction of the abnormal data is guided by means of the characteristics of the stable data, and when the quality of positioning signals fluctuates, the accuracy of the positioning signals is improved. The positioning accuracy and the positioning data continuity of the final positioning data can be improved.

The invention discloses a communication control method of an intelligent glucometer, a controller, a medium and a product, and relates to the field of wireless communication. The method comprises the following steps: calculating a predicted value of current blood glucose according to a first prediction parameter set; if the deviation between the measured value and the predicted value is within a preset tolerance range, controlling the wireless communication module to keep dormancy, storing the data into a local cache, and accumulating a silent counter; when the counting reaches a verification period, generating and sending a verification request containing a first verification identifier; if the feedback verification of the server is consistent, the local data is emptied, and if the deviation exceeds the limit or the verification is inconsistent, the complete data sequence is sent and the prediction parameter set is updated. According to the method, mass data transmission in the stationary period is converted into lightweight feature verification through the end-cloud collaborative prediction model, the communication energy consumption and the data flow are reduced while the data continuity is ensured, and the cruising ability of the glucometer terminal is improved.

The application provides a marine observation station multi-source data fusion correction method, and belongs to the technical field of marine observation.The layered interpolation correction model containing a weighted moving average algorithm and a spatial collaborative interpolation algorithm is established, an adaptive threshold adjustment mechanism of the marine environment based on a closed-loop feedback system is constructed, a multi-factor coupling drift prediction model of a Kalman filter combined with a long short-term memory network is used, a gradual degradation fusion strategy switched according to environmental conditions is designed, a biological pollution gradual detection correction model using a liquid neural network structure is constructed, a multi-source data quality evaluation system based on data continuity, numerical stability, consistency and historical reliability is established, high-precision adaptive fusion correction of marine environment multi-source sensor data is realized, and the technical problem that marine environment multi-source sensor data is difficult to realize high-precision adaptive fusion correction is solved.

The invention relates to an intelligent calculation method for receivable debts based on dynamic data aggregation. The method comprises the following steps: calling a dynamic data acquisition and integration module, obtaining various preset types of receipts in real time, establishing a data association relationship, and aggregating dispersed receipt data; calling a dynamic algorithm scheduling engine, and dynamically calling an adaptive calculation model according to the real-time state of the document; and calling a mixed data processing module, and when it is detected that the preset rule is updated, recalculating the historical data of the document to ensure the continuity and integrity of the data. According to the invention, real-time collection and processing of multi-type document data are realized, real-time calculation of receivable debts is carried out according to a document state accurate scheduling algorithm, and timeliness and accuracy of the data are ensured; hybrid calculation of historical data and optimized data is supported, data coherence and integrity are guaranteed, and powerful support is provided for long-term financial analysis; and the overall operation management efficiency can be effectively improved.

The invention discloses a near-shore wind field refined modeling method and device based on mask difference correction, and relates to the technical field of offshore wind power data, and the method comprises the steps: obtaining the topographic data and meteorological data of a near-shore region, and constructing an initial wind field grid; and extracting terrain complexity and meteorological activeness indexes corresponding to each grid node from the constructed initial wind field grid based on a quantum derivative clustering algorithm, and generating an error correction field of an atmospheric boundary layer physical rule based on a conditional generative adversarial network. The method is based on quantum derivative clustering and tunneling effects, can accurately identify discontinuous disturbance boundaries such as sea and land frontal surfaces and island wake flow regions, can clarify the range of a disturbance frequent region, can realize targeted correction, can improve the precision of a high disturbance region, can reduce redundant calculation of a low disturbance region, can balance the precision and efficiency, can cooperate with quantum tunneling constraint cross-scale data continuity, and can improve the accuracy of the disturbance region. And the engineering application efficiency is improved.

The application discloses an axial projection wind speed measurement method and system of a wind turbine unit, relates to the field of laser radars, and alleviates the problems of insufficient data continuity, incapability of providing stable wind speed data, easy interference of blade false signal and inaccurate measurement of the existing axial projection wind speed measurement technology.A kind of axial projection wind speed measurement method obtains multiple sets of measurement data, for each distance gate number, traverses each kind of beam number, obtains effective radial wind speed value and radial wind speed state bit, and then obtains axial projection wind speed.The method disclosed by the application is suitable for the field of wind turbine unit control, and the axial projection wind speed measurement system of the wind turbine unit disclosed by the application is suitable for being embedded in existing wind turbine unit control equipment.

The invention relates to the field of robot system control, and particularly discloses a robot tracking and positioning method and system based on audio-visual fusion, and the method comprises the following steps: synchronous collection of audio-visual data, multi-modal fusion judgment, setting of a visual data continuity judgment threshold value, and setting of a visual data continuity judgment threshold value. When the visual detection equipment continuously detects a face target with confidence greater than a set value in multiple frames, the system preferentially enters a visual tracking mode; when the interruption time of the visual data exceeds the set time, the system is automatically switched to a sound source positioning mode; and driving element coordination control: according to the obtained image offset or the obtained target sound source angle change, the driving element performs angle coordination adjustment on the head of the robot at the horizontal and longitudinal angles. According to the method, the limitation of a single mode is overcome, smooth mode switching is realized, the positioning precision is improved, and motion control is optimized.

This utility model discloses a data processing board for trackside equipment, belonging to the technical field of subway trackside equipment. It includes a data processing module, a soft-start output module, a power-down voltage monitoring module, an RTC real-time clock module with a first energy storage capacitor, a power supply module with a second energy storage capacitor, and a data interface module. The data processing module is electrically connected to the other modules. The power supply module provides the operating voltage to the board, and its second energy storage capacitor temporarily supplies power to the data processing module during brief external power outages to record the voltage status data at the moment of power failure. The first energy storage capacitor of the RTC real-time clock module maintains clock operation for a preset duration after power failure. This utility model solves the problems of easy data loss and clock failure during power failures in traditional boards. It features high structural integration, stable operation, and accurate recording of power-down fault conditions, meeting the data continuity requirements of subway trackside equipment.

The embodiment of the invention discloses a communication method and device, electronic equipment and a computer readable storage medium, and belongs to the technical field of communication. The method comprises the following steps: in response to connection to a first wireless access point, acquiring a first IP address allocated to a first terminal by the first wireless access point, and establishing a first tunnel with the first wireless access point through a cellular network; when the first terminal leaves the signal coverage range of the first wireless access point, receiving a first data packet sent by the first wireless access point through the first tunnel; and decapsulating the first data packet to obtain a first original data packet, and submitting the first original data packet to a first wireless network interface of the first terminal based on the first IP address. Thus, the first terminal can always receive the data with the first IP address, TCP connection interruption caused by IP address change is effectively avoided, and then the data continuity of the first terminal and the use experience of a user are remarkably improved.

This invention provides a method and apparatus for detecting cutter wear. The method includes: acquiring the real-time rotational speed of the cutter and the real-time rotational speed of the cutterhead; determining the instantaneous wear amount of the cutter based on the real-time rotational speed of the cutter and the real-time rotational speed of the cutterhead; writing the instantaneous wear amount of the cutter, the corresponding instantaneous time, the current ring number, and the cutter replacement time as a single instantaneous wear amount data record into a database; extracting the instantaneous wear amount data from the database according to a preset method to determine a dataset; determining the minimum number of wear amount determinations based on the dataset; and determining the current cutter wear amount from the dataset based on the minimum number of wear amount determinations and the data continuity determination result; wherein the data continuity determination result is obtained by judging the data continuity of the dataset. This invention solves the problems of poor engineering practicality and low calculation accuracy of existing cutter wear detection methods, and achieves accurate calculation of the cutter wear amount of tunnel boring machines.

The invention discloses an electromagnetic shielding device for simulating a climatic environment, which is characterized in that an electromagnetic shielding structure, a temperature adjusting module and a humidity adjusting module are integrated in the same shell to form a closed test cavity and are uniformly coordinated by a control system, so that the radio frequency conduction performance of wireless equipment in different temperature and humidity environments can be detected in real time. According to the structure, the tedious operation that in the prior art, testing needs to be carried out in a high-low temperature box and an electromagnetic shielding box in sequence is avoided, the testing efficiency is improved, interference to a testing result in the equipment transferring process is reduced, and continuity and accuracy of data are guaranteed; meanwhile, the control system supports automatic setting and switching of various test working conditions, can comprehensively evaluate the communication stability of the wireless equipment in a complex environment, is suitable for efficient testing of various communication terminals in research and development verification and production quality inspection links, and has the remarkable technical advantages of integrated test process, accurate result and intelligent operation.