83 results about "Position analysis" patented technology

The invention relates to the technical field of pipeline data processing and health state evaluation, and discloses a pipeline interior detection method and system based on multi-sensor fusion. The method comprises the following steps: performing health index calculation on pipeline state evaluation data to obtain a pipeline health state index, and performing risk prediction on the pipeline health state index to obtain a risk level; performing pipeline defect feature recognition to obtain defect feature data, and performing multi-category classification processing on the defect feature data to obtain defect type data; performing accurate position analysis on the defect type data to obtain defect space distribution data, performing structural integrity evaluation to obtain a defect severity quantitative data set, performing multi-criterion decision analysis on the defect severity quantitative data set and risk levels to obtain defect repair priority ranking data, and performing defect repair priority ranking on the defect repair priority ranking data; and performing intelligent repair scheme generation on the defect repair priority ranking data to obtain repair suggestion data. According to the invention, the state of the pipeline can be evaluated more comprehensively and accurately.

The invention discloses a vehicle-mounted holder laser telemetering scanning type gas leakage positioning system, and relates to the technical field of gas leakage monitoring. The vehicle-mounted pan-tilt laser telemetering scanning type gas leakage positioning system comprises a data acquisition unit for acquiring laser absorption second harmonic signal intensity of an inspection vehicle on a set route; the concentration inversion processing unit is used for inverting the gas concentration on the basis of the signal; the concentration analysis unit is used for identifying an abnormal inspection point by comparing the concentration change rate; the leakage direction analysis unit is used for predicting the leakage direction by combining wind direction concentration data; according to the invention, a signal saturation upper limit value and an optical path length value are introduced to carry out normalization processing, concentration inversion calibration is carried out in combination with a gas absorption coefficient, independent calculation is carried out at each inspection position point, and the accuracy of the inspection is greatly improved by combining remote measurement concentration distribution data, image data and a leakage position analysis unit for accurately positioning a leakage point in combination with a gas diffusion model. And continuous, dynamic and high-precision concentration distribution reconstruction in space is realized.

The present application discloses a method, system, and computer system for managing policy configurations. The method includes (i) receiving a set of predefined security policy rules, (ii) determining, based at least in part on the set of predefined security policy rules, one or more security policy rules that do not satisfy one or more predefined requirements, (iii) performing a priority or position analysis to determine a relationship among a plurality of security policy rules, and (iv) providing a report pertaining to the one or more security policy rules.

The invention provides a bad root cause analysis method and system based on a comprehensive analysis framework, and relates to the technical field of bad root cause analysis, and the method comprises the steps: obtaining bad data and processing process data; performing comprehensive analysis on the bad data and the processing process data according to the comprehensive analysis framework so as to position intermediate link factors related to the bad product; performing root cause positioning analysis on the processing process data according to the bad data so as to preliminarily position a root cause station and root cause machine equipment; root cause positioning analysis is carried out on the processing process data according to the intermediate link factors related to the bad products so as to further position root cause machine equipment; and performing fusion judgment on the root cause site and the root cause machine equipment which are preliminarily positioned and the root cause machine equipment which is further positioned to obtain a comprehensive root cause positioning result. The root cause positioning of the processing equipment is carried out based on the comprehensive analysis framework, and the problem that comprehensive analysis and judgment cannot be realized due to isolation between different bad root cause analysis means is solved.

The invention relates to the technical field of intelligent wagon balances, in particular to an intelligent wagon balance management method and system. Comprising the following steps: setting a plurality of monitoring points and a plurality of positioning points according to wagon balance equipment parameters; according to the wagon balance measurement data and the feedback data of all the positioning points, weighing parameters of the incoming vehicle are generated; generating a violation risk value of the incoming vehicle according to the wagon balance operation parameters and the monitoring data of each monitoring point, and judging whether to generate an alarm instruction or not according to the violation risk value; real-time position parameters of each incoming vehicle during weighing are monitored in real time, an initial weighing value is corrected according to a preset position analysis model and the real-time position parameters, measurement errors caused by position deviation during vehicle weighing are eliminated, the weighing precision of the weight of the weighing vehicle is improved, multi-angle image data are collected, and the weighing accuracy of the weighing vehicle is improved. The weighing process is dynamically monitored in combination with the operation parameters of the wagon balance, and early warning is carried out on potential violation behaviors in time, so that the weighing parameter distortion caused by fraud behaviors is avoided.

The invention discloses an intellectual property achievement transformation management system, and relates to the technical field of intellectual property management systems, comprising the following steps: S1, storing intellectual property materials; s2, material analysis; s3, feature extraction: carrying out keyword automatic extraction by utilizing a big data patent file, forming a keyword set, carrying out position analysis on a text of the patent file, marking a word segmentation sequence, inserting a user dictionary, recording related proper nouns of the technical field to which the patent file belongs, filtering stop words and virtual words in the text of the patent file, and carrying out feature extraction; calculating and counting feature items in the patent document text; and S4, website display. According to the method, the optimal patent with relatively high matching degree with the demand of the enterprise user can be conveniently provided for the enterprise user, one-time sorting can be performed according to the matching degree, the value degree of multiple patents can be judged at the same time, the rate that the user needs to use keywords to perform knowledge library knowledge retrieval is improved, meanwhile, the scientific and technological achievement conversion efficiency can be improved, and the enterprise user experience is improved. And enterprises can select conveniently.

The invention discloses a visual operation method and system for a commercial vehicle storage yard, and relates to the technical field of inventory stocktaking, and the method comprises the steps: 1, preparing a positioning foundation: dividing a plurality of UWB base stations into a plurality of groups, and enabling the same group to comprise four UWB base stations; establishing data connection between the background and the UWB base station; step 2, positioning: when any vehicle enters a storage yard, putting the UWB tag card into the vehicle and binding a vehicle frame number; the background obtains the real-time position of the vehicle through a positioning system of the vehicle, and analyzes and determines a matched UWB base station group according to the real-time position after parking; the background obtains communication data generated when the UWB base station group communicates with the UWB tag cards on the vehicle, and analyzes and calculates the positions of the UWB tag cards based on the communication data of the four UWB base stations in the same group; and the background identifies the UWB tag card of which the position is calculated, searches a historical record to determine a bound frame number, and generates vehicle positioning data. The method and the device have the effect of improving the convenience and the accuracy of commodity vehicle checking at a wharf.

The invention relates to the technical field of building construction intellectualization, in particular to a cement mixing pile automatic grouting control method, device and equipment and a storage medium, and the method comprises the steps that to-be-grouted positions are obtained, and corresponding to-be-grouted parameter information is obtained according to each to-be-grouted position; acquiring corresponding grouting amount data and grouting inclination angle data from each piece of to-be-grouted parameter information; a grouting starting instruction triggered according to the to-be-grouted parameter information is obtained, the grouted flow and Beidou position information are obtained in real time, real-time monitoring is conducted according to the grouted flow and the Beidou position information, and grouting monitoring data are obtained; performing real-time grouting analysis according to the grouting monitoring data to obtain a corresponding grouting analysis result; and a grouting adjustment control instruction is generated according to the grouting position analysis result and / or the grouting amount analysis result. The intelligent cement mixing pile grouting control system has the effect of improving the intelligence of the cement mixing pile during grouting so as to realize accurate control of the grouting amount.

The invention relates to a positioning system and method, a navigation method, a storage medium and a computer program product. The positioning system comprises a base station, a core network, a navigation relay server and a position analysis and calculation server, the base station is in communication connection with the core network; the navigation relay server is in communication connection with the base station, the base station is in communication connection with the position analysis and calculation server, and the position analysis and calculation server is in communication connection with the navigation relay server; when user equipment is attached to a communication network, a core network allocates a first IP address to the user equipment through a base station, the base station sends orthogonal data of a reference signal and a user identifier to a position analysis calculation server, the reference signal is used for positioning the position of the user equipment, and the user identifier comprises the first IP address; and the position analysis calculation server obtains coordinate information corresponding to the first IP address based on the orthogonal data. According to the technical scheme provided by the invention, universal accurate positioning and navigation in an indoor scene can be realized, and customer privacy can be prevented from being invaded.

The invention belongs to the technical field of power grid analysis, and provides a risk identification method for voltage fluctuation of a power distribution network containing distributed energy, and the method comprises the steps: carrying out the position analysis of a voltage change curve, generating an analysis signal, carrying out the abrupt change analysis of the voltage change curve of the real-time operation of a power grid, and obtaining a voltage change abrupt change value; judging the voltage abrupt change risk degree of the power distribution network according to the voltage change abrupt change value, obtaining the power data of the distributed energy accessed to the power distribution network, and obtaining an influence association value based on the association analysis of the power data and the voltage data of the power distribution network; and judging whether the output power change of the distributed energy can influence the fluctuation change of the voltage of the power distribution network or not according to the influence association value, thereby realizing monitoring and identification of the voltage mutation risk of the power distribution network, analyzing the influence factors, facilitating subsequent rapid adjustment and optimization based on the influence factors, and guaranteeing the operation safety of the power distribution network.

The invention provides a BIM-based electromechanical installation position analysis method, and relates to the field of equipment position detection, and the method comprises the steps: obtaining a BIM-based space structure model of a to-be-analyzed building through point cloud data; performing enhanced display on the obtained fuzzy region in the BIM-based building space model by fusing IFC semantic information and geometric similarity; and analyzing and judging the actual mechanical and electrical installation position by combining the processed BIM building space model for the building and the set mechanical and electrical installation information. The invention further discloses an electromechanical installation position analysis device based on the BIM. The electromechanical installation position analysis device comprises an electromechanical equipment position acquisition module, a central processing module, a position coordinate extraction module and a comparative analysis module. Spatial comparison is carried out on the basis of the BIM building space model and the set installation position, whether the installation error between the electromechanical installation position and the set position exceeds the error allowable value or not is judged, error accumulation in the data transmission process can be reduced through cleaning use of the space model, and the accuracy of the electromechanical installation position is improved.

The present invention relates to the technical field of pipeline data processing and health status assessment, and discloses a pipeline internal detection method and system based on multi-sensor fusion. The method includes: calculating the health index of pipeline status assessment data to obtain pipeline health status indicators, performing risk prediction on pipeline health status indicators to obtain risk levels; performing pipeline defect feature identification to obtain defect feature data, performing multi-category classification processing on defect feature data to obtain defect type data; performing precise position analysis on defect type data to obtain defect spatial distribution data and perform structural integrity assessment to obtain defect severity quantification data set; performing multi-criteria decision analysis on defect severity quantification data set and risk level to obtain defect repair priority ranking data, performing intelligent repair plan generation on defect repair priority ranking data to obtain repair suggestion data. The present invention can achieve a more comprehensive and accurate assessment of pipeline status.

The invention discloses a big data analysis payment system and method based on a geographic position. The big data analysis payment system comprises a geographic information data storage module, a common route analysis module, a geographic position acquisition module, a geographic position analysis module, a payment information confirmation module, a consumption record calling module, a user payment habit analysis module, a payment limit setting module, a payment anomaly detection module and a limited payment authentication module. The method has the beneficial effects that the geographic position meeting the storage condition is stored, the common route of the user and the staying area on the common route are analyzed according to the stored geographic position, and the real-time position of the user is further analyzed according to the common route of the user; the payment limit at any geographic position is analyzed and set through the payment habit of the user, the payment limit at the current real-time position of the user is acquired, and the payment amount is compared with the payment limit so as to detect the abnormal payment condition.

The invention relates to the technical field of intelligent marking and positioning, in particular to a power cable position intelligent marking and positioning system which comprises a sensor data acquisition module, a position correction module, an electromagnetic characteristic analysis module and a position synchronization and marking module. According to the method, the position deviation of the cable can be accurately calculated by combining measurement of the soil magnetic field intensity value and data normalization, real-time correction and refined position analysis are implemented, so that fault detection is quicker and more accurate, the maintenance plan is optimized, the cable damage risk is remarkably reduced, spectrum analysis is introduced to enhance the signal analysis capability, and the fault detection accuracy is improved. According to the method, the depth of the cable is accurately measured, the safety and maintainability of the underground cable are effectively supported, the real-time performance and the accuracy of data are ensured through real-time synchronization with a GIS database and automatic updating and marking of position information on a GIS map, and the response capability and the stability of a power grid are effectively improved.

The invention discloses a strategic recommendation method and device, and relates to the technical field of intelligence analysis tools, the method is applied to a computer device capable of calling a knowledge base and a large model, and the method comprises the following steps: retrieving an obtained text fragment based on an input request of a user; based on the input request, calling a large model to carry out site analysis on the input request to obtain a site analysis result; based on the input request, the text fragment and the standing analysis result, calling the large model to combine with the text fragment to perform qualitative analysis on the standing analysis result, and outputting a qualitative analysis result; based on the input request and the qualitative analysis result of the dictionary format, determining an optimal feature vector of the dictionary format by using an analytic hierarchy process; and on the basis of the optimal feature vector, four-quadrant analysis data of each strategy is calculated by using a four-quadrant analysis method, and then optimal strategy pushing is completed. According to the method, qualitative analysis, an analytic hierarchy process and a four-quadrant analysis method are combined, development strategic intelligence analysis is carried out according to requirements input by a user, and strategic suggestions are generated.

A system and method for Global Navigation Satellite System (GNSS) accuracy improvement for GNSS devices using a novel GNSS positioning system that leverages networked optimization for enhanced accuracy. GNSS measurements from multiple devices form the foundation for a massive pairwise optimization approach. This fuels a self-reinforcing cycle, wherein Real Time Kinematic pairwise optimizations support Precise Point Positioning analysis. Improved PPP calculations in turn refine RTK optimization, rapidly iterating towards convergence. The PPP-RTK feedback loop refines positions iteratively, culminating in precise user locations. This method capitalizes on the interplay between PPP and RTK techniques within a networked context, offering a powerful solution for real-time, high-precision positioning applications.

The invention discloses a motor stator and rotor magnetostatic multi-dimensional shape and position analysis and evaluation method and device, and the method comprises the steps: fixing a motor stator in a magnetostatic state, employing a four-quadrant orthogonal loading mechanism, manually applying an axial / radial combined load to a rotor, simulating the load of the motor in actual work, fixedly connecting a laser to the output shaft of the rotor, and carrying out the measurement of the output shaft of the rotor. And the laser is used for imaging on the photosensitive imaging plate and drawing the rotating track of the rotor. For the load in each direction, the inclination angle theta i of the stator and the rotor of the motor is calculated according to the laser imaging track; and according to the time difference and the position difference of the laser imaging points before and after the load is applied, the axial offset delta Xi and the radial eccentric distance delta Yi are calculated. The system performs statistical processing on four-direction load data through an adaptive weighting algorithm, and outputs a form and position deviation mean value # imgabs0 # # imgabs1 # to establish a method for evaluating the form and position of the stator and the rotor of the motor. According to the invention, high-precision synchronous detection of the multi-dimensional form and position deviation of the stator and the rotor is creatively realized in a static magnetic state.

The invention discloses a batch geographic position analysis method, a position recommendation system, a position recommendation device and a medium, and the method specifically comprises the steps: obtaining all interest sites of all user targets in a current batch, removing repeated items in the interest sites, and obtaining a unique interest set composed of a plurality of unique sites; establishing a reverse index between the unique place and the user target associated with the unique place; obtaining the closeness degree of each unique place and the to-be-recommended position; based on the reverse index, backfilling the closeness degree to the user target associated with the corresponding unique place; and comparing the degree of closeness obtained by backfilling each user target, and determining the optimal location of each user target according to the comparison result. According to the batch geographic position analysis method provided by the embodiment of the invention, the data processing complexity of batch geographic position analysis in the data processing process is reduced, the number of repeated calculations is remarkably reduced, and the throughput and scalability of the system are greatly improved.

According to the grinding allowance automatic halving implementation device and method provided by the embodiment of the invention, in the grinding process of a superhard cutter, the position images of the center of the rotating disc and the to-be-ground blade are detected in real time through the image detection assembly mounted on the cutter rest assembly, and the grinding allowance is automatically halved through the movement and position analysis of the to-be-ground blade around the center of the rotating disc. The position of the center of the rotating disc is found firstly, the error between the center of the rotating disc and the arc center of the to-be-sharpened knife tip is automatically recognized and calculated, and the center of the rotating disc is aligned with the image detection center by controlling the first cross-shaped workbench to move. Meanwhile, the vertical distances between the arc center of the to-be-sharpened knife point and the two linear edges of the to-be-sharpened knife point are equal to the radius of the arc of the to-be-sharpened knife point, and the two linear edges are equally divided in the middle relative to the rotating center of the rotating disc, so that the arc of the to-be-sharpened knife point and the linear edge are tangent and smoothly transited, and the grinding precision of the arc of the knife point is greatly ensured.

The invention discloses a problem positioning analysis method and device, equipment and a medium, and relates to the field of cloud storage. Comprising the following steps: constructing a knowledge graph based on data of a plurality of databases in a cloud storage system; based on the knowledge graph, training a to-be-trained graph attention network to obtain a trained graph attention network, the trained graph attention network carrying knowledge in the knowledge graph; in the testing process of the cloud storage system, determining a target task with a failed task, and obtaining task information corresponding to the target task; and inputting task information corresponding to the target task into the trained graph attention network to obtain a failure reason of the target task. By means of the method, the efficiency of positioning personnel in the aspect of problem positioning can be remarkably improved, and then the testing efficiency and accuracy are improved.

The invention discloses a method and system for wind speed prediction, overcapacity energy storage and grid connection based on input quantity position analysis; belonging to the technical field of wind power generation; the method first obtains the original wind speed sequence and divides it into an experimental group and a test group, and then inputs it into a pre-built wind speed prediction model to obtain a predicted wind speed sequence; according to the predicted wind speed and the actual power of the wind farm, the shortage of the overcapacity energy storage system is determined and dispatch control is performed; the construction process of the prediction model includes multiple iterations, by changing the value of each position of the experimental group and calculating the error, the value of the corresponding position is corrected until the error is reduced to less than half, and the final predicted wind speed sequence is obtained; the technical problem in the prior art that the complexity and nonlinear characteristics of wind speed data lead to a large error between the wind speed prediction result and the actual wind speed is solved.

The invention relates to a pipeline front opening circle blanking method which comprises the steps that four points A1, A2, A3 and A4 are marked on the inner side of a pipe opening in one end of a pipeline in the circumferential direction, and four points B1, B2, B3 and B4 are marked on the inner side of a pipe opening in the other end of the pipeline in the circumferential direction; measuring the lengths of A1 and B1, the lengths of A2 and B2, the lengths of A3 and B3, and the lengths of A4 and B4; measuring the lengths of A1 and B3, the lengths of A2 and B4, the lengths of A3 and B1, and the lengths of A4 and B2; establishing a three-dimensional space coordinate system; calculating and marking coordinates of A1, B1, A2, B2, A3, B3, A4 and B4; determining a point E on the X axis, and calculating the projection of the point E on the line segments L1, L2, L3 and L4; and respectively carrying out position analysis on A1, B1, A2, B2, A3, B3, A4 and B4. The method has the advantages that accurate data used for drawing the shape of the pipeline front opening circle can be obtained, the front opening circle finding error is reduced, the alignment and construction conditions are improved, and therefore the operation construction quality in pipeline construction, transformation and operation is improved.

The invention provides a measuring and adjusting method for installing a steel structure stand column group. The measuring and adjusting method comprises the following steps that S1, a measuring and positioning tool is manufactured according to the shape of a stand column; s2, measurement analysis and adjustment work: establishing an upper elevation datum plane and a lower elevation datum plane; an upper measuring and positioning tool and a lower measuring and positioning tool are arranged on the stand column in the same direction on the side surface of the stand column; sequentially measuring the prisms on the two measurement positioning tools on each stand column through a total station to obtain three-dimensional coordinates of working points of the prisms; according to the three-dimensional coordinates, the perpendicularity and the inclination direction of the stand column are calculated, whether the perpendicularity of the stand column meets the requirement or not is analyzed, if not, installation of the stand column is adjusted according to the perpendicularity and the inclination direction of the stand column, and then measurement and adjustment are conducted again; and S3, plane position analysis and rechecking: simultaneously installing a measuring and positioning tool on a plurality of upright posts, enabling the measuring and positioning tools to be positioned on the same elevation plane, installing a prism, measuring by using a total station to obtain a three-dimensional coordinate of a prism working point, and calculating and verifying the horizontal distance of the upright posts.

The application discloses a large-scale attack monitoring method and system based on real-time calculation, and the method comprises the following steps: acquiring log data; analyzing the log data through a distributed stream processing platform; analyzing two-stage analysis based on C-segment common attack sources; generating a first attention list according to the attack times of objects, obtaining the physical position of the attacked objects through position analysis, and obtaining the C-segment range to which the IP addresses of the attacked objects belong through threat intelligence library correlation; performing trend analysis on attack data in a first preset time period based on the first attention list information, and predicting the next attack time of the attacked objects; and performing correlation analysis on the whole network to obtain other attacked areas. The application realizes real-time calculation through three analysis methods, quickly and accurately identifies abnormal behaviors and attack modes, improves the accuracy and real-time performance of alarm data, and performs correlation analysis on attack sources, attack means and attacked business systems, integrates commonalities, and quickly forms disposal suggestions.

The present invention relates to the field of sensor positioning technology, and discloses an explosion-proof intelligent terminal positioning method and device based on a high-end displacement sensor, the method comprising: collecting data from the explosion-proof intelligent terminal to obtain an original sensor data set; filtering and calibration processing to obtain inertial measurement unit data, geomagnetic field sensor data and wireless signal receiver data; performing double integral operations to obtain initial relative displacement data; measuring absolute displacement measurement data; performing position analysis through a multi-level Kalman filter model to obtain terminal position data; performing three-dimensional spatial positioning through a multi-source data fusion model to obtain a three-dimensional spatial positioning result of the explosion-proof intelligent terminal. The present invention can effectively fuse multi-source sensor data, overcome the limitations of each single positioning technology, and achieve real-time and stable positioning under limited computing resources. At the same time, explosion-proof safety requirements are also taken into consideration to ensure reliable application in dangerous environments.

The invention, which relates to the technical field of intelligent guidance, discloses an intelligent guidance system for a parking lot, comprising a guidance platform program and a mobile terminal. The guiding platform program comprises an environment position acquisition module, a vehicle analysis module, an environment analysis module, a parking space analysis module, a position analysis module and an operation management module; a traditional parking management mode depends on manual guidance and static identification and cannot effectively deal with the problems of dynamic change of vehicle flow and the like. In order to solve the problem, data acquired by a position acquisition module is analyzed through a vehicle analysis module, an environment analysis module, a parking space analysis module and a position analysis module to obtain corresponding results, and the results are combined through an operation management module; real-time parking guide information is provided for a driver, wherein the real-time parking guide information comprises the position of an unoccupied parking space and an optimal path; by means of a mobile application or a vehicle-mounted navigation device, a user can conveniently obtain parking information, the parking efficiency and experience are improved, and the time and trouble for finding a parking space are reduced.

The application discloses a locomotive crossing judgment system and implementation method, and belongs to the technical field of rail transit operation safety. The system comprises a value-keeping filtering unit, a position analysis unit, a distance calculation unit, a region judgment unit, a direction identification unit, an interval matching unit and a dynamic scanning unit. Through real-time analysis of locomotive positioning data, combined with line direction and region attribute, spatial interval matching and direction shunting are carried out, the current running direction is identified, and based on the dynamic scanning mechanism, subsequent crossings are traversed, and a judgment function is called to realize crossing state confirmation. The system introduces a logic fuse mechanism to improve the discrimination stability under abnormal scenes. Compared with the traditional scheme relying on fixed signals or manual observation, the system has good real-time performance, adaptability and engineering deployment efficiency, and can be widely applied to railway and urban rail transit safety auxiliary judgment scenes.

A system and method for Global Navigation Satellite System (GNSS) accuracy improvement for GNSS devices using a novel GNSS positioning system that leverages networked optimization for enhanced accuracy. GNSS measurements from multiple devices form the foundation for a massive pairwise optimization approach. This fuels a self-reinforcing cycle, wherein Real Time Kinematic pairwise optimizations support Precise Point Positioning analysis. Improved PPP calculations in turn refine RTK optimization, rapidly iterating towards convergence. The PPP-RTK feedback loop refines positions iteratively, culminating in precise user locations. This method capitalizes on the interplay between PPP and RTK techniques within a networked context, offering a powerful solution for real-time, high-precision positioning applications.

The present invention discloses a data analysis management method and system based on digital intelligence engineering, which relates to the field of data analysis management technology, including performing position analysis on a data set to be managed and determining the position of a first data to be filled. The present invention first determines the position of the first data to be filled, then determines the position of the abnormal data, and sets the position of the abnormal data to be the position of the second data to be filled. Finally, the data set to be filled is calculated by Euclidean calculation to obtain a first data similarity set and a second data similarity set, and the first data similarity set and the second data similarity set are selected and calculated to obtain first filling data and second filling data. In order to avoid the calculated first filling data and second filling data being abnormal data, the first filling data and the second filling data are verified to determine a normal data set. The above method not only realizes the filling and modification of missing data and abnormal data, but also shortens the data call time of digital intelligence engineering.

The invention discloses a distribution network non-power-cut operation insulation shielding effect identification system, and particularly relates to the technical field of power distribution network operation, and the system comprises a power distribution network topological graph building module which is used for building a three-dimensional simulation model of a power distribution network overhead line, and marking an electrified body and an insulation shielding tool on the overhead line in the three-dimensional simulation model; the data acquisition module is used for acquiring an actual operation scene image of a target operation position; the overhead line position analysis module is used for obtaining a position offset evaluation index of the overhead line at the target operation position; the insulation shielding effect analysis module is used for acquiring a corrected insulation performance evaluation index; the electric shock risk analysis module is used for acquiring an electric shock risk index of the target operation position; the hot-line work safety evaluation module is used for obtaining a hot-line work safety coefficient; and the hot-line work safety judgment module is used for judging the relationship between the safety coefficient of the non-power-cut work and a preset value, and taking corresponding measures according to a judgment result, so that standardized evaluation is realized.