54 results about "Statistical Report" patented technology

The invention discloses an enterprise-level intelligent point inspection identification and analysis system based on a graph neural network, and the system comprises a point inspection standard management module which is used for building a point inspection standard library and a unified coding system, and generating a point inspection route; the inspection task generation and execution module is used for generating a periodic point inspection task set; the data uploading and analyzing module is used for uploading the inspection data to a server through an enterprise network to form a trend sequence; the graph structure construction module is used for constructing an inspection network graph and forming an inspection feature set; the graph neural network analysis module is used for calculating an equipment health score and an abnormal confidence coefficient by improving a MixHop model; the abnormity identification and work order management module is used for triggering early warning notification and assessment index updating according to a preset rule; and the data synchronization and report generation module is used for generating a statistical report and an audit log, so that standardized, networked and intelligent management of enterprise-level polling is realized.

The invention relates to the technical field of data processing, and discloses a statistical report generation method and system, electronic equipment and a storage medium, and the method comprises the steps of counting a configuration request, formulating a statistical statement template, and creating a statistical task; triggering a batch processing process according to timing configuration, executing a statistical task, performing batch calculation on the source data set associated with the statistical statement template, generating a statistical result, and persistently storing the statistical result in a specified database; selecting a query mode according to the visual query request, an identifier corresponding to the statistical task and a time range selected by a user, and performing formatting and merging calculation on a query result to generate a visual data set; performing rendering calculation on the visual data set according to the visual template configuration, generating chart data and displaying the chart data; and identifying and migrating the historical statistical data, receiving a query request for the archived data through an independent query interface, and returning a corresponding result. According to the invention, diversified statistical requirements can be met, and the integrity and flexibility of data tracing are guaranteed.

The invention discloses a multi-dimensional fusion sensor data anomaly detection method based on a hydrogen-based shaft furnace, and belongs to the technical field of metallurgical equipment monitoring. The method comprises the steps of data preprocessing, single-variable anomaly detection, multivariable consistency detection, anomaly type judgment and alarm output. The single variable detection adopts a rolling median absolute deviation method, drift detection, continuous tiny variable threshold and border crossing detection; the multivariate detection calculates reconstruction residuals of each sensor through principal component analysis (PCA) and identifies overall consistency anomalies. And the system judges the fault type according to the comprehensive score of the multiple detection results and outputs a detailed alarm record and a statistical report. According to the method, multi-algorithm fusion analysis is carried out on time sequence data collected by a plurality of sensors in the operation process of the shaft furnace, so that the abnormal states of the sensors are accurately recognized. The method can be widely applied to real-time monitoring of the hydrogen-based shaft furnace smelting process, the accuracy and robustness of anomaly detection are improved, and false alarms and missing alarms are reduced.

The invention relates to the technical field of bearing sales, in particular to an MES-based bearing sales management system, which comprises a sales management module, a warehouse management module, a stock management module, a statistical report module and a building and repairing cooperation module, and is characterized in that a real-time linkage mechanism is established, and the delivery efficiency is improved; the core problem of order and inventory disjunction is solved, on-demand, accurate and automatic stock-up instruction generation is realized, the repair and manufacturing precision of bearing overhaul and the product consistency are effectively improved, and the operation safety of client key components is guaranteed.

The application relates to the technical field of data processing of multi-source data fusion, and discloses a survey data integrated analysis method and system based on multi-source data fusion. The scheme deploys a multi-source sensor and collects original voltage, and normalizes in the range of each physical quantity; temperature, pressure and vibration three-dimensional observation and state are constructed based on a unified time index, and initial values are set; a constant value is kept to recursively predict; the variances of multiple measuring points are statistically calculated in a static window, and the observation noise is determined by combining the minimum quantization step to calculate the fusion gain; the covariance is linearly updated and corrected, and then the amplitude of each dimension is limited according to the abnormal upper limit; the three-dimensional results of multiple measuring points at each sampling time are spatially averaged, and if necessary, the results are rolled back; a fusion sequence and a statistical report are formed in the whole cycle. The method unifies the data scale, reduces subjective parameters and algorithm burden, models the noise adaptively according to the environment, stably suppresses noise and prevents faults, and guarantees continuous output and comparable analysis.

Mobile application that sends desired pitches and pitch locations (using a graphical grid system) to baseball and softball players on the field. Players wear a hardware device (on a wrist band or attached to glove) that displays the desired pitch and pitch location. Communication between the application and device(s) is enabled via secure WIFI connections. The mobile application tracks all pitches and pitch outcomes and provides statistical reporting and analysis.

A dynamic statistics and result analysis system for watershed river and lake shoreline development and utilization comprises a remote sensing data acquisition module, a data preprocessing and classification module, a database construction module, a change trend analysis module, a river and lake directory and association retrieval module and an interaction management module. The data preprocessing and classification module is used for data preprocessing and statistical classification, the database construction unit is used for constructing a system database, the variation trend analysis module is used for variation trend analysis and statistical report generation, and the river and lake directory and association retrieval module is used for directory maintenance and result association. According to the dynamic statistics and result analysis system for watershed river and lake shoreline development and utilization, a remote sensing data statistical classification algorithm based on a neural network is proposed to classify remote sensing data; and a river-lake shoreline development and utilization change trend analysis algorithm based on deep learning is proposed to analyze the change trend.

The invention relates to the technical field of architectural drawing, and discloses a SouthMap-based building facade drawing method and system and a storage medium, and the method comprises the steps: loading three-dimensional space data of a to-be-drawn building, and generating a three-dimensional viewport with the same size as a two-dimensional viewport; receiving a house boundary point sequence selected by a user at the three-dimensional viewport, performing automatic elevation calculation, and generating a house range line and height; according to the range line and the height of the house, generating an elevation frame with an orientation identifier; activating a vertical face working state, and obtaining a target wall area through cutting in response to a selection operation of a vertical face frame; establishing a projection relation between the three-dimensional wall surface coordinates and the elevation frame through a coordinate mapping unit; in response to an input operation of a user on the three-dimensional space data and the elevation frame, generating an associated door and window component entity; and calculating the area of the component entity, and generating a statistical report containing details and classified summarization according to the area. By adopting the method, the drawing efficiency and precision can be effectively improved, and the manual dependence is reduced.

The invention discloses a module use condition statistical method and device, equipment and a storage medium. The scheme is performed by an automated script deployed in a persistent integration environment. According to the method, function module type information in modeling project files is extracted in batches, the use relation between each project file and a function module type is established based on a predefined function module type list, and a structured statistical report is generated. According to the scheme, a traditional manual statistical mode is replaced by an automatic process, batch processing of multiple project files is realized, and the statistical efficiency is remarkably improved. Standardized information extraction and relation construction logic are adopted, so that the accuracy and consistency of statistical results are ensured. The generated standardized report provides reliable module use data support for engineering management, and the scientificity of module reuse analysis and resource optimization decision is effectively improved.

The application discloses a statistical report generation method and device, modifies the staff number in the user table into the corresponding organization name, divides the user level of each organization name in the user table to obtain an updated user table containing the user level and the corresponding relationship of the organization name, obtains a comparison table containing the organization name and the corresponding branch number of the organization name, obtains the transaction data corresponding to each organization and the branch number contained in the transaction data, and generates a temporary statistical table, replaces the branch number in the temporary statistical table with the organization name according to the comparison table, groups the temporary statistical table to obtain each sub-statistical table containing the same organization level, determines the sub-statistical table of the same level and lower than the user level according to the user level in the updated user table, and performs association. When the user work changes or the organization affiliation changes, only the organization name needs to be modified, the change can be completed, the change efficiency is improved, and the normal work of the user is ensured.

The invention discloses a compiling processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a header file path frequency statistics report file comprising a plurality of historical header file paths which are arranged in a descending order according to a dependence frequency, the plurality of historical header file paths represent header files on which each target file generated by the target software engineering in the last compilation depends; based on a configuration header file search path list compiled this time, performing path legality verification on a header file path frequency statistical report file; performing path import merging processing based on legal historical header file paths in the header file path frequency statistics report file and residual header file paths in the configuration header file search path list to obtain an optimized header file search path list with preposed legal historical header file paths; and performing compiling processing on the basis of the optimized header file search path list in the compiling process. According to the method, the compiling efficiency is improved while correct compiling is ensured.

The invention discloses a cloud customer service system report generation method and device based on Apache Dores, equipment, a medium and a product, and relates to the technical field of big data process.The method comprises the steps that a selectable heterogeneous data source list corresponding to a cloud customer service system is output through a visual interface; after receiving a target data source selection instruction submitted by a user, accessing metadata of a target data source by using a data directory function of Apache Dores; outputting a selectable statistical index field list, a selectable statistical dimension field list and a selectable Dores function list through a visual interface, and processing data of a target data source by calling a target Dores function after receiving a target statistical index field, a target statistical dimension field and a target Dores function corresponding to a statistical report selected by a user. Obtaining statistical data corresponding to the statistical report; and outputting the statistical data through a visual interface. The report development response period can be shortened, and the report query efficiency can be improved.

The application discloses an enterprise-level intelligent point patrol inspection recognition analysis system based on a graph neural network, comprising: a point patrol inspection standard management module, which is used for establishing a point patrol inspection standard library and a unified coding system, and generating a point patrol inspection route; a patrol inspection task generation and execution module, which is used for generating a periodic point patrol inspection task set; a data uploading and analysis module, which is used for uploading patrol inspection data to a server through an enterprise network to form a trend sequence; a graph structure construction module, which is used for constructing a patrol inspection network graph to form a patrol inspection feature set; a graph neural network analysis module, which is used for calculating a device health score and an abnormal confidence through an improved MixHop model; an abnormality recognition and work order management module, which is used for triggering an early warning notification and updating an evaluation index according to a preset rule; and a data synchronization and report generation module, which is used for generating a statistical report and an audit log, so that the standardized, networked and intelligent management of enterprise-level point patrol inspection is realized.

The invention discloses a chemical security data intelligent preprocessing and association matching system and method, and belongs to the technical field of chemical safety production management. The problems that in the prior art, data isomerism is high, violation type standardization is insufficient, severity and processing measure classification depend on manual judgment, table data and text description relevance is poor, and statistical report generation lags behind are solved. The method provided by the invention comprises the steps of receiving and classifying security and protection table and text data, checking data integrity, generating a unique association identifier, executing violation type standardization and severity grading, automatically classifying processing measures, establishing table and text association based on semantic matching, and generating a security and protection data statistical report. And automatic cleaning, standardization and intelligent analysis of security and protection data are realized. The data processing efficiency and the safety early warning accuracy can be remarkably improved, and the method is suitable for safety production management and risk monitoring work in high-risk industries such as chemical engineering, petroleum and pharmacy.

The invention relates to the technical field of data processing of multi-source data fusion, and discloses an investigation data integration analysis method and system based on multi-source data fusion. According to the scheme, a multi-source sensor is deployed, original voltage is collected, and standardization is carried out in each physical quantity range; constructing temperature, pressure and vibration three-dimensional observation and states based on a unified time index, and setting initial values; recursive prediction is carried out by using a constant preserving model; counting a multi-measuring-point variance in a static window, determining observation noise in combination with the minimum quantization step size, and calculating fusion gain; linearly updating and correcting covariance, and then carrying out dimension-by-dimension amplitude limiting according to an abnormal upper limit; carrying out space averaging on the three-dimensional results of the multiple measuring points at each sampling moment, and carrying out rollback if necessary; and a fusion sequence and a statistical report are formed in the whole cycle. According to the method, the data scale is unified, subjective parameters and computing power burden are reduced, adaptive noise modeling along with the environment is achieved, stable noise suppression and fault resistance are achieved, and continuous output and comparable analysis are guaranteed.

The application relates to the technical field of value accounting, and discloses an ecosystem gross domestic product accounting method based on GIS spatial analysis, which comprises the following steps: accounting for regional basic data and satellite image data, constructing a two-way dynamic semantic mapping library corresponding to land change survey block classification-ecosystem type; obtaining Internet of Things monitoring data and statistical report data, performing spatial interpolation-boundary correction and sliding window smoothing space-time fusion to obtain a standardized data set; constructing a double-level accounting index system of urban areas and typical areas, and synchronously calculating physical quantity and value quantity; based on GIS, a model correction factor is called to quantize the index to a grid unit, neighborhood analysis is performed to obtain a result, and after the parameters are calibrated, a multi-year ecological value trend graph is generated in combination with GIS; customized results are output according to scenes such as ecological compensation, and after three-level quality control verification, the final results are output. The application can meet the needs of accounting accuracy and practicability of ecological compensation, EOD projects and the like.

The present application relates to a steel support and column quantity identification method and device based on KNet, the method comprising: acquiring an image containing steel support, column and background information of a construction site; preprocessing the image; inputting the preprocessed image into a pre-trained KNet semantic segmentation model for segmentation, extracting a high-confidence binary mask image, and optimizing the image quality through morphological operation; performing connected component analysis to calculate the area of each region, screening effective regions according to the minimum area threshold, determining the accurate position of steel support and column using the centroid calculation, and evaluating the uniformity of distribution and the stability of structure; counting the number of effective regions and generating a structure quantity statistical report containing specific position, quantity and distribution density, and visualizing the report on the interface. The present application provides an efficient and accurate building structure detection and quantity statistical scheme, which can automatically identify and count the number of steel support and column, and solve the identification problem in the complex environment of a construction site.

The application provides an agricultural statistical report filling and intelligent checking system supporting edge computing, and relates to the technical field of statistical reports, which comprises an edge filling terminal, an edge checking node, a local agricultural knowledge base and a cloud collaborative node, the edge filling terminal is in communication connection with the edge checking node, and is internally provided with an intelligent auxiliary filling unit and a geographical situation self-adaptive unit, which are used for receiving agricultural statistical report filling data input by a user, and providing filling assistance, pre-checking and error correction related services through the intelligent auxiliary filling unit; the core checking module and the lightweight rule engine are deployed on the edge node, local real-time logical checking of the filling data is realized, the checking process is completed on the edge end, and the data does not need to be uploaded to the cloud, so that the filling efficiency is greatly improved; in combination with the offline caching function of the edge caching module, the problem that the network is unstable and disconnected in remote agricultural areas, leading to the inability to check, is solved.

The invention discloses a fan foundation steel bar quantity statistical method and system based on specification constraint, and relates to the field of intelligent engineering quantity accounting, and the method comprises the steps: obtaining design construction data and construction scanning point cloud of a fan foundation; carrying out point-to-point cloud registration denoising based on reference control to obtain a net point cloud; extracting section features along height hierarchical slicing and detecting to obtain candidate sections; constructing specification constraint factors according to theoretical specification parameters, and grading and screening the candidate sections to obtain effective sections; and combining the arrangement rule and the design tolerance to carry out space consistency verification and abnormity correction, counting the number of the reinforcing steel bars of each specification, and outputting a statistical report. Therefore, high-precision calculation quantity capable of being rechecked according to specifications can be realized under complicated field conditions such as shielding and overlapping.

The invention discloses a structured process modeling, execution and dynamic management and control method driven by a visual page, and belongs to the field of computer software and business process management.The technical scheme is that the method comprises the steps that a process model is established, and process model data is generated; inputting the data of the process model into a JSON converter to obtain a BPMN 2.0 XML (Extensible Markup Language) document; deploying the BPMN 2.0 XML document to a process engine, loading the BPMN 2.0 XML document by the process engine and taking the BPMN 2.0 XML document as an execution basis; performing simulation prediction on process execution through a stateless simulation engine based on a BPMN 2.0 XML (Extensible Markup Language) document and input simulation parameters; displaying a flow chart, a node state and a historical flow path on the basis of an execution state output by the flow engine, and providing an operation entry, so that a service user can initiate a dynamic operation instruction; the dynamic operation instruction is sent to a jump module; and collecting the execution log and the operation record to generate a statistical report. The method has the beneficial effect that the method for modeling, executing and dynamically managing and controlling the structured process driven by the visual page is provided.

The invention relates to the technical field of report generation, in particular to a cloud-based statistical report automatic generation system, which comprises a path frequency monitoring module, a path access regulation and control module, a report purpose analysis module, a task priority ordering module and a cloud report generation module. According to the method, through continuity analysis and rate limit comparison of path access behaviors, accurate identification of access frequency abnormity can be realized, a state blocking and de-blocking control mechanism of an abnormal path is introduced, dynamically updated path state information is constructed in combination with an access label and a time condition, the compliance and flexibility of path access are improved, and the access efficiency is improved. And then mapping to task data items through state conversion results, performing task classification and sorting according to priority and time constraints, further completing queue construction according to task execution levels, and enhancing data monitoring dimensions and report generation effectiveness while ensuring accurate matching of report generation results and task scheduling.

The invention provides an ancient dwelling building construction damage behavior monitoring method and system based on deep learning, and the method comprises the steps: obtaining ancient dwelling scene image data, carrying out the marking and dividing of the image data, and executing the preprocessing operation. And selecting a basic model and carrying out structure adjustment, and outputting an adaptive model. By setting training parameters and designing an optimization strategy, an adaptive model is trained, and an optimal model is stored. And key frames in the ancient dwelling monitoring video stream are read, an input sample is generated, reasoning and probability fusion and screening are carried out, and a judgment result of each frame is output. And carrying out continuous frame verification based on a judgment result, dividing risk levels, outputting a risk judgment result and triggering an early warning signal. And screening out a key damage behavior frame from the risk judgment result, and generating a visual detection result and a statistical report. By improving the recognition precision of the construction damage behavior of the ancient residential building, core support is provided for safety protection of the ancient residential building.

The invention discloses a statistical report development and data check method based on a dynamic SQL, which is realized based on linkage processing logic of a dynamic SQL construction mechanism, a result table and a check detail table, and comprises the following steps: initializing and recording a log; adding SELECT query, JOINS table association and WHERE conditions according to required parameters, and constructing a basic range table tmpbasic comprising all potential personnel; a result table tmpresult meeting all screening is constructed and hit; a check detail intermediate table fbasic is inserted; the hit state FLAG is updated, and a final result table fresult is output; according to the invention, more efficient, reusable and expandable data statistics and check can be realized.

The application provides a power transmission line lightning stroke distribution analysis method, system, device and medium, comprising: time and space correlation matching of power transmission line transient waveform data and lightning data to obtain lightning stroke waveform data; based on the lightning stroke waveform data, using the traveling wave propagation double-end positioning principle combined with the power transmission line data, calculating the lightning stroke point position; extracting the characteristic parameters of the lightning stroke waveform data, comparing with the pre-constructed waveform feature criterion library of each lightning stroke type to determine the lightning stroke type recognition result; statistically analyzing the lightning stroke point position and the lightning stroke type recognition result to generate a line lightning stroke distribution map and a statistical report as the power transmission line lightning stroke distribution analysis result; based on the lightning stroke waveform data, using the traveling wave propagation double-end positioning principle combined with the power transmission line data, the positioning accuracy of the lightning stroke point is greatly improved, which helps to master the line lightning rule, reasonably plan the lightning protection measures, and improve the operation reliability and safety of the power transmission line.

A station (STA) includes a processor configured to perform negotiation for statistics information sharing with an access point (AP). The STA also includes a transceiver operatively coupled to the processor. The transceiver is configured to, as part of the negotiation, transmit to the AP, a request frame indicating a request to receive statistics report from the AP. The transceiver is also configured to, as part of the negotiation, receive, from the AP, a response frame acknowledging the request and indicating one of (i) acceptance of the request, (ii) rejection of the request, or (iii), a suggestion of an alternative proposal to the request.

The invention relates to a steel bar engineering quantity list statistical method and device, computer equipment and a storage medium, and relates to the technical field of data analysis. By constructing a multi-dimensional editable mapping relation table and combining component classification identifications and exclusive configuration parameters, accurate matching of components and 24 list steel bar sub-purposes is achieved, and the accuracy of the steel bar engineering quantity list statistical method and device is improved. A component dependency relationship is identified based on a geometric intersection and attribute association algorithm, a priority matching rule is adopted to split affiliation, no omission of engineering quantity statistics is ensured, and a statistical report conforming to a specification is generated through data aggregation, hierarchical summarization and tree report rendering, so that the efficiency and accuracy of steel bar engineering quantity list statistics are greatly improved. And the manual intervention cost is reduced.

The invention relates to the technical field of high-altitude platform station operation and maintenance management, and provides an equipment performance statistics and analysis method in a multi-load airship platform OMC system, which comprises the following steps: creating a performance measurement task through a Web management interface, and persistently storing task information. And the equipment access adaptation layer converts the task parameters into equipment recognizable formats according to the equipment types and then issues the equipment recognizable formats to the equipment agent. And the device agent collects performance data and reports the performance data, the Server adaptation layer calls the plug-in again to analyze the data into a standard format, and then the data is published to a message bus and stored and cached. The system detects performance data in real time based on a predefined threshold rule. And meanwhile, the functions of visual display of performance data, historical query, statistical report and KPI (Key Performance Indicator) calculation are provided. According to the invention, the problems of data isomerism, real-time monitoring and safety and reliability in performance management of multi-load airship platform equipment are effectively solved, and powerful support is provided for stable operation and intelligent operation and maintenance of an airship platform.

The application relates to the technical field of data management, in particular to a running daily report data management method and system. The method comprises the following steps: importing and storing an Excel format running daily report table; preprocessing the running daily report table to determine a corresponding effective data starting row and an effective data ending row; performing cyclic scanning on the running daily report table according to the effective data starting row and the effective data ending row to obtain running data of the running daily report table; and generating a corresponding statistical report based on the running data. The Excel format running daily report table is parsed based on a specific algorithm, data of each plant is classified and stored, and relevant data can be queried and extracted according to different business requirements. Compared with saving the running data of sewage treatment only through an Excel document, the method has high efficiency, saves labor cost, and data is not easy to lose; and the method can systematically and modularly manage and effectively extract a plurality of data.

The invention provides a photovoltaic power station operation data statistical method and system, and the method comprises the steps: dividing into a plurality of assembly clusters according to the installation region and series-parallel topological relation of photovoltaic assemblies, so as to recognize the homologous data characteristics of each cluster, synchronously carrying out the classification screening of original data uploaded by each cluster, and carrying out the classification screening of the original data. Generating a corresponding ordered data subset; constructing a corresponding data statistics window, and synchronously constructing a corresponding terminal data association matrix; outputting a corresponding preliminary statistical result according to the data statistical window, and synchronously performing reverse deduction on the preliminary statistical result according to the operation physical mechanism of the photovoltaic power station based on the terminal data incidence matrix so as to generate a corresponding deduction data sequence; calculating the integrating degree between the preliminary statistical results and the deduction data sequence, and synchronously integrating the preliminary statistical results into a corresponding target statistical report when it is detected that the integrating degree meets a preset requirement. According to the invention, various data can be accurately counted, and the statistical efficiency is correspondingly improved.

A station (STA) includes a processor configured to establish a connection with an access point (AP), and generate a statistics report corresponding with the connection, the statistic report including at least one information set. The STA also includes a transceiver operably coupled to the processor. The transceiver configured to transmit the statistics report to the AP. The at least one information set may include at least one of a latency statistics report, a performance statistics report, and a channel occupancy report.