15results about How to "Reduce analysis" patented technology

The invention relates to the technical field of vehicle faults, and discloses a fault statistical data visualization method and system and electronic equipment, and the method comprises the steps: obtaining time series data generated by a target vehicle through presetting a fault statistical index and an index display type corresponding to the fault statistical index, the time sequence data comprises diagnosis fault codes arranged according to fault time, classifying the diagnosis fault codes according to the fault statistical indexes to obtain a classification result, performing data statistics on the fault time and the diagnosis fault codes according to the classification result to obtain to-be-displayed data after statistics, and displaying the to-be-displayed data according to the to-be-displayed data. Performing visual rendering on the to-be-displayed data according to the index display type to obtain visual data, and generating a fault statistical report according to the visual data; according to the method, the fault statistical data when the vehicle breaks down is visually displayed, a user can understand the data conveniently, and the user can be helped to rapidly position and solve problems.

The invention discloses a low-voltage distribution network user-transformer relation identification method based on power balance and a knowledge graph. The method comprises the following steps: S1, collecting first information and second information; the first information comprises position information and voltage information of the terminal user; the second information comprises distribution transformer data; performing initial address clustering of adjacent terminal users according to the first information; s2, performing clustering analysis on the voltage time sequence data of the terminal users based on a Gaussian mixture model according to the initial address cluster and the second information to obtain a preliminary division result to which the terminal users belong; s3, constructing a correlation convolution optimization model according to the preliminary division result in combination with a power balance principle, and performing iterative solution to obtain a preliminary user-transformer relationship in the low-voltage power distribution system; and S4, correcting the preliminary user-change relation in the low-voltage power distribution system based on the knowledge graph to obtain the user-change relation of the low-voltage power distribution network, and completing user-change relation identification.

The utility model relates to the technical field of pier maintenance, in particular to a high pier spraying maintenance system which comprises a foundation frame, a fixing platform, a reinforcement cage, a water supply device, a spraying head, a driving assembly and a humidity sensor, the foundation frame is erected on the outer wall of the reinforcement cage, and concrete is poured into the reinforcement cage to form a pier; the fixed platform is arranged at the top end of the foundation frame, the multiple spraying heads are arranged, the output end of the driving assembly is assembled with the multiple spraying heads at the same time and used for driving the spraying heads to rotate in the circumferential direction of the fixed platform, the water supply device is used for providing maintenance water for the spraying heads, and the output ends of the spraying heads are aligned with the top end of a pier. And the humidity sensor is assembled on the bridge pier and electrically connected with the spraying head, the humidity sensor is used for controlling the spraying head to conduct spraying operation, and the timeliness, uniformity and safety of the bridge pier spraying maintenance system can be improved.

The present invention relates to the field of chromatography testing technology, and specifically to a curve image compensation method for a thin layer chromatography scanner, comprising: obtaining the degree of abnormal separation effect of any peak on the initial chromatography curve of any thin layer plate, obtaining the degree to which the mobile phase flow rate of the thin layer plate needs to be regulated, regulating the mobile phase flow rate of all thin layer plates according to the degree to which the mobile phase flow rate of the thin layer plate needs to be regulated, and using the chromatography curve of any thin layer plate after the mobile phase flow rate is regulated as the compensation curve of the initial chromatography curve of the thin layer plate. The present invention improves the situation where the separation of the sample to be tested is not good due to the uneven surface of the corresponding thin layer plate, reduces the situation of abnormal peak shape in the corresponding curve, and realizes effective compensation of the chromatography curve.

The invention discloses a credit information analysis method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining position data of a target land parcel delineated by a loan user through a mobile terminal; analyzing the position data of the target land parcel to obtain position information of the target land parcel; acquiring a plurality of satellite remote sensing images of the current target plot according to the position information of the target plot; on the basis of each satellite remote sensing image of the current target land parcel, crop associated information of the current target land parcel is obtained; inputting the position information of the target plot and the crop association information of the current target plot into a pre-trained evaluation model, and analyzing various crop evaluation results of the current target plot through the evaluation model; calculating the comprehensive evaluation grade of the target plot according to the evaluation results of the crops of the current target plot; and adjusting the loan amount and interest rate of the loan user based on the comprehensive evaluation level of the target plot.

The application provides a cell relocation method and device under multiple different objective lenses and application thereof, and comprises the following steps: S000, single-channel image acquisition is performed on a slide under a first set magnification objective lens, and initial screening is performed on target cells in the image to obtain the positions of the target cells; S100, based on the positions of the target cells, the target cells in the image are relocated through advantage feature point matching of a feature descriptor under a second set magnification objective lens which is larger than the first set magnification; and S200, after relocation, multi-channel pictures are acquired under the second set magnification objective lens to analyze the target cells. The application can more accurately and quickly position the target cells.

The invention discloses an equipment cascading failure risk assessment method and system based on a distribution network twinborn model. The method comprises the following steps of: respectively generating an N-1-k anticipated accident set and an N-1-1 anticipated accident set when different initial anticipated shutdown elements fail according to a failure state of each equipment element and a topological relation among the equipment elements in a distribution network, wherein the N-1-k anticipated accident set and the N-1-I-1 anticipated accident set are generated when the initial anticipated shutdown elements fail; the method comprises the following steps: extracting a topology connection mode of a distribution network topology judgment initial anticipated shutdown element in a distribution network, and generating an N-1-k anticipated accident set or an N-1-1 anticipated accident set based on the topology connection mode; calculating the failure probability of each equipment element in the distribution network, and calculating the low-voltage risk of all nodes and the overload risk of all lines in the anticipated accident set for each anticipated accident set, so as to generate the distribution network cascading failure risk for each anticipated accident set; and sorting the importance of different anticipated accident sets based on the distribution network cascading failure risk of each anticipated accident set.

The invention discloses a system and a method for positioning a reason causing touch abnormity of a touch screen, and belongs to the technical field of touch screens, the system comprises a cabin area controller, the touch screen, a serial port, an upper computer and a server, the cabin area controller is connected with the touch screen; the touch screen is connected with the upper computer through the serial port; and the server is connected with the upper computer through a wireless network. According to the method and the device, the touch data are analyzed through the upper computer, the touch data analyzed by the upper computer are input to the server, a user accesses the server through the browser and observes the touch track drawn by the server and the pop-up window prompt, and the reason for the touch abnormity of the touch screen can be positioned.

The application discloses a path planning method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining a to-be-transported task and road network information of a vehicle, and determining a transportation area of the to-be-transported task according to the to-be-transported task and the road network information; inputting the transportation area and the to-be-transported task into a path prediction model to obtain a plurality of predicted paths corresponding to the to-be-transported task and a plurality of confidence degrees of the predicted paths; determining a target predicted path according to the confidence degrees of the predicted paths, and associating the target predicted path with the to-be-transported task and returning to a user end. In the embodiment of the application, the to-be-transported task is analyzed through the road network information, the area of the selected path is reduced, the analysis of the data in the road network information is reduced, and the prediction accuracy is improved; the path corresponding to the to-be-transported task is predicted through the path prediction model, the target predicted path is screened out, the approval time is shortened, the transportation path is automatically determined, and the transportation efficiency is improved.

The invention discloses an interface testing method and device, a storage medium and computer equipment, and relates to the technical field of financial science and technology and the technical field of digital medical treatment. The method comprises the steps of obtaining an interface definition file of a target interface; performing file analysis on the interface definition file, determining interface definition metadata, and performing service semantic analysis on the interface definition file; based on the interface definition metadata and the business semantic analysis result, constructing an inter-service calling topological graph of the target interface, and based on the inter-service calling topological graph, generating an interface test case of the target interface; determining test data generation basis information of the target interface, constructing a test data knowledge graph based on the test data generation basis information, and determining interface test data based on the test data knowledge graph; and generating a test script of the target interface based on the interface test case and the interface test data, and testing the target interface based on the test script.

The invention relates to an air inlet channel self-adaptive control method, device and equipment based on a deformation bulge. The method comprises the following steps: acquiring an air inlet channel configuration, and determining the position of a bulge in the air inlet channel; constructing a bump deformation mapping model according to the relationship between the applied force and the bump deformation; constructing a flow field mapping model according to the relationship between the deformation of the bump and the flow field characteristics; and identifying the working mode of the air inlet channel, judging whether the air inlet channel is in a starting state or not, and if the air inlet channel is in a non-starting state, regulating and controlling the bulge shape through the bulge deformation mapping model and the flow field mapping model according to a preset target pressure value and a monitored pressure value, and optimizing the flow field characteristics of the air inlet channel. According to the method, through the built bump deformation mapping model and the flow field mapping model, rapid and efficient prediction from the applied force to the bump profile and then from the bump profile to the flow field characteristics can be realized, the analysis and optimization period is shortened, and the real-time application requirement is met.

The present application relates to the field of artificial intelligence and finance, and provides a user behavior prediction method, device, equipment and storage medium. The method screens a target label from a plurality of feature labels obtained, obtains training information and user behavior results of a plurality of training users on the target label, inputs the training information and training text into a plurality of behavior prediction models, obtains the prediction behavior results of the plurality of training users by each behavior prediction model, generates model indicators according to the user behavior results and the prediction behavior results, and screens a target model. In response to a user behavior prediction request, the target model is used to predict and process user information and test text of a test user, and the target behavior result can be accurately obtained. In addition, the present application also relates to blockchain technology, and the target behavior result can be stored in the blockchain.

The invention is suitable for the technical field of financial data analysis, and provides a currency transaction path determination method and device, electronic equipment and a program product. The method comprises the following steps: acquiring at least one key address, and acquiring N associated address sets associated with the at least one key address; respectively determining the criticality level of at least one key address and the criticality level of each address in the N associated address sets; determining a target address of the currency transaction path to be acquired from the N associated address sets; and determining a currency transaction path from the target address to the key address according to the criticality level of the target address, the criticality level of the at least one key address and the criticality level of each address in the N associated address sets. According to the method, the currency transaction path is determined according to the criticality of each address, so that analysis and retrieval of non-critical addresses can be reduced according to the criticality level, and the efficiency of determining the currency transaction path is improved.

The application discloses a processing method of precipitation data applied to a flood disaster model in the technical field of data processing and a related device. In the method, original precipitation data is acquired; data integration is performed on the original precipitation data to obtain matrix data including spatial dimensions and time dimensions; data cleaning is performed on the matrix data to obtain to-be-converted precipitation data; and the to-be-converted precipitation data is converted into precipitation data conforming to a normal distribution. The precipitation data conforming to the normal distribution is used for being processed by the flood disaster model. The data quality of the precipitation data obtained after the processing is higher. The precipitation data conforming to the normal distribution can reduce the non-continuity of the rainfall data and the adverse influence of rainless days on the simulation of the flood disaster model, facilitate the analysis and processing of the precipitation data by the flood disaster model, and thus more accurate simulation results of the flood disaster model are obtained, and the simulation accuracy of the flood disaster is improved.

The invention discloses an automatic generation method for a gage file, a storage medium and a terminal, and the method comprises the steps: obtaining a to-be-detected layout which is provided with a plurality of target graphs; performing different types of feature analysis on the target graph to obtain a feature analysis result of each type; and based on the feature analysis result, generating a gage file of at least part of the target graph. Different types of feature analysis are carried out on the target graph, the feature analysis result of each type is obtained, the gage files of at least part of the target graph are automatically generated on the basis of the feature analysis results, the process that the gage files are manually generated one by one is replaced, and the generation efficiency of the gage files of the layout can be effectively improved.