93 results about "Statistical Report" patented technology

The invention relates to the technical field of value accounting, and discloses an ecological system total production value accounting method based on GIS spatial analysis, and the method comprises the steps: carrying out the accounting of regional basic data and satellite image data, and constructing a bidirectional dynamic semantic mapping library corresponding to land change investigation land parcel classification-ecological system type; internet of Things monitoring data and statistical report data are obtained, and a standardized data set is obtained through space-time fusion of spatial interpolation-boundary correction and a sliding window smoothing method; constructing an urban area-typical district double-level accounting index system, and synchronously calculating a real object quantity and a value quantity; a model correction factor is called based on a GIS, indexes are quantified to grid units, a result is obtained through neighborhood analysis, and after parameters are calibrated, a multi-year ecological value trend map is generated in combination with the GIS; and outputting a customized result according to scenes such as ecological compensation, and outputting a final result after the customized result is qualified through three-level quality control verification. According to the method, the requirements of practical affairs such as ecological compensation and EOD projects on accounting precision and practicability can be met.

The invention discloses an exhibit dynamic environment monitoring and regulation system and method based on the Internet of Things technology. The method comprises the following steps: S1, deploying a plurality of Internet of Things sensors; s2, transmitting the acquired environmental data to a cloud platform, and performing preprocessing to generate a risk assessment report; s3, generating a regulation and control instruction; s4, acquiring a prediction result by adopting an autoregressive integral moving average model, and adjusting environment setting in advance according to the prediction result; s5, calculating and updating a preset safety threshold value of the environmental parameters, setting a tolerance range, and automatically alarming when the environmental parameters exceed the preset safety threshold value; s6, providing an administrator remote access interface; s7, fault detection is carried out through a self-diagnosis function; and S8, generating a statistical report and trend analysis of the environmental data. According to the method, an efficient and scientific optimization scheme can be provided in dynamic environment monitoring and regulation of the exhibits, and remarkable technical value and economic benefits are brought to practical application.

The invention discloses a broadband network fault intelligent diagnosis system and method, and belongs to the technical field of broadband networks. The system comprises a foreground system, a middle platform system and a background system. The foreground system integrates a plurality of diagnosis function modules, such as network diagnosis, network speed measurement, WiFi analysis and the like, and is used for detecting a user broadband network environment and sending a result to the middle station system. And the middle platform system is responsible for receiving and processing data sent by the foreground system, forming standardized data, distributing the standardized data to the foreground system and the background system, performing real-time analysis, providing preliminary optimization suggestions, performing aggregation analysis and generating a statistical report. And the background system stores data in a centralized manner and provides multi-dimensional retrieval and analysis functions. Under the control of the middle platform system, all the diagnosis function modules of the foreground system can be called in sequence according to a preset process, so that quick collection of key network data is realized. According to the system, the efficiency and the accuracy of broadband network fault diagnosis are improved through efficient cooperation and intelligent analysis of the foreground, the middle platform and the background.

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 a method and device for automatically generating an equipment data report based on a drawing and a storage medium, and is applied to the technical field of equipment drawing recognition. Comparing the vector graphic data with preset graphic data to extract signal equipment information of the vector graphic data; obtaining geometric features and associated attribute texts in the signal equipment information, and generating structured equipment data; associating the structured equipment data with the station yard BIM model to realize binding of lightweight data with machine account information; obtaining a query condition input by a user, developing a natural language understanding engine based on the BERT model to perform joint indexing of time dimension and space dimension on the query condition input by the user, and obtaining target equipment; and matching the target equipment with a preset report template, and generating a multi-dimensional statistical report through the preset report template.

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 an intelligent number asking system and method based on SQL (Structured Query Language) layer data authority control, and aims to realize safe and efficient query and visualization of multi-heterogeneous application data by a user through natural language interaction, analyze a data access rule in real time through an intelligent strategy engine, dynamically generate and modify SQL query, and improve the query efficiency. The system comprises a query processing module used for receiving a natural language query; the question classifier module is used for identifying a target application; the strategy engine is used for analyzing the data access rule; and the SQL query modification module is used for dynamically generating a safe SQL query according to the analyzed rule and the identified application, and the system is combined with the visualization module to present a query result as a statistical report with a chart, and dynamically filters and displays according to the data permission, so that the data permission control is thoroughly realized, the user experience is improved, and the user experience is improved. And complexity and security risks of traditional data access are effectively avoided.

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 present invention provides a method and system for realizing the inspection and management of major dangerous projects on the construction site of construction enterprises. The method displays the major dangerous projects within the engineering projects of construction enterprises on a display screen in combination with geographical location information, and authorizes relevant personnel to view the situation of major dangerous projects and statistical reports of each project; according to the review results of each major dangerous project uploaded by the cloud server, the levels and inspection situations of major dangerous projects are marked by colors on the display screen, accepts various inspection tasks issued by supervisors, notifies corresponding inspectors to conduct on-site inspections, and monitors the status of major dangerous projects in real time. The present invention realizes the safety inspection management of major dangerous projects efficiently and in batches by real-time monitoring the safety inspection results of all major dangerous projects through intelligent terminals, which is convenient for supervisors to timely understand the inspection situations of each major dangerous project and monitor the early warning and alarm information of each major dangerous project, thus ensuring construction safety.

The invention provides an intelligent agricultural credit guarantee management system, which integrates the functions of all modules from the actual service situation in a financing guarantee company, and meets the current service demand and the long-term development goal. The system comprises a client information management module, a business management module, a contract module, an after-insurance management module, a risk management module, a performance management module, a statistical report management module, an external interface module, an internal OA module, a mobile terminal important matter reminding module, a cockpit module, a configuration module and a reservation module. According to the invention, the life cycle of the whole guarantee service can be fully covered, and integrated guarantee service functions of guarantee service acceptance approval management, enterprise data query, risk early warning management, after-guarantee management, fund management and the like are realized; the system also has the functions of guarantee approval, anti-guarantee management, contract management, process management, after-guarantee management, report unification and the like, and further improves the overall business processing efficiency and risk management level.

The invention relates to a KNet-based method and device for identifying the number of steel supports and stand columns. The method comprises the following steps: acquiring an image containing steel supports, stand columns and background information on a building 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; connected domain analysis is executed to calculate the area of each region, effective regions are screened according to a minimum area threshold value, accurate positions of the steel supports and the stand columns are determined through centroid calculation, and distribution uniformity and structural stability of the steel supports and the stand columns are evaluated; counting the number of the effective areas, generating a structure number counting report containing specific positions, number and distribution density, and visually displaying the structure number counting report on an interface. The invention provides an efficient and accurate building structure detection and number statistics scheme, the number of the steel supports and the number of the stand columns can be automatically recognized and counted, and the recognition problem under the complex environment of a construction site is solved.

The invention relates to the technical field of industrial automation, and discloses a hot rolled steel surface defect analysis system. According to the system, a surface image of newly produced steel is acquired in real time through the data acquisition module by using a high-definition camera, the image preprocessing module performs graying, noise reduction, zooming and color enhancement on the image, the image quality is improved, the defect detection and identification module performs edge detection and texture analysis on the processed image by using a computer vision technology, and the defect detection and identification module performs defect identification on the surface of the newly produced steel. The defect analysis module further analyzes the area, depth and length of the defects and provides a basis for classification of the defects, the statistical report module generates a detailed defect statistical report according to an analysis result, and the process adjustment module automatically adjusts production process parameters according to the report. Compared with a traditional method depending on manual detection, the system has the advantages that the steel detection efficiency and accuracy are remarkably improved, the interference of human factors is reduced, and the consistency of detection results is ensured.

The invention relates to the technical field of traffic safety facility identification, in particular to a traffic safety facility statistical survey method based on deep learning. The method comprises the following steps: acquiring a video frame image and synchronously acquiring GPS and IMU data of camera equipment; constructing a corrected pose transformation matrix through a fusion pose estimation algorithm, generating a three-dimensional point cloud by combining monocular depth estimation and multi-frame depth map fusion, and extracting geometric attribute information of traffic safety facilities; identifying the traffic safety facilities in the image by using a YOLO algorithm, extracting the types and positions of the facilities, and associating the types and positions with three-dimensional attributes to generate structured data; performing grade judgment on the facility state based on a fuzzy reasoning method; and performing segmented statistics and classified summarization according to the road stake numbers, and outputting a statistical report. The method can realize facility three-dimensional perception, state intelligent evaluation and classified statistics, and is suitable for intelligent highway operation and maintenance and digital traffic facility management.

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 present invention relates to the technical field of traffic safety facility recognition, and specifically provides a statistical survey method for traffic safety facilities based on deep learning. The present invention includes: collecting video frame images and synchronously obtaining GPS and IMU data of the camera device; constructing a corrected pose transformation matrix through a fusion pose estimation algorithm, generating a three-dimensional point cloud by combining monocular depth estimation and multi-frame depth map fusion, and extracting geometric attribute information of traffic safety facilities; using the YOLO algorithm to identify traffic safety facilities in the image, extracting the facility category and location, and associating them with three-dimensional attributes to generate structured data; judging the facility status level based on a fuzzy inference method; performing segmented statistics and classified summaries according to road mileage, and outputting a statistical report. The present invention can realize three-dimensional perception of facilities, intelligent evaluation of status, and classified statistics, and is applicable to the operation and maintenance of intelligent roads and the management of digital traffic facilities.

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.

The invention relates to the technical field of thermal power plant carbon emission management, and discloses a thermal power plant carbon emission coal sample intelligent management system. Comprising a central control unit used for establishing a carbon emission coal sample coal quality prediction model according to historical data; the report generation unit is used for generating a carbon emission coal sample statistical report; the sample cabinet management unit is used for storing and taking the carbon emission coal samples in the sample cabinet; the data acquisition unit is used for weighing the carbon emission coal sample and acquiring data; the central control unit comprises a first processing module used for generating a carbon emission coal sample inspection result deviation degree f according to a carbon emission coal sample prediction result generated by the carbon emission coal sample coal quality prediction model and a carbon emission coal sample inspection result; the second processing module is used for changing the basic configuration item of the carbon emission coal sample and generating a change degree value r of the basic configuration of the carbon emission coal sample; the report generation unit comprises a report verification module used for verifying the carbon emission coal sample statistical report. The method has a report verification function, and the accuracy and reliability of data are improved.

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.

This invention relates to the field of computer data management technology, and in particular to a data verification method, electronic device, and storage medium, comprising: obtaining a mapping table t of a dataset to be verified (data); obtaining a data analysis model corresponding to data based on t; obtaining an operator sequence x contained in the data analysis model, wherein the number of operators in x is m; and obtaining the (m-1)th operator x. m‑1 tag type b m‑1 b m‑1 The data can be either a statistical operator or a population package operator. Different methods are used to verify statistical report data and population package data respectively. The present invention determines the data type based on the operator type of the previous operator of the output operator, and uses different processing methods for different data types to protect data privacy, thereby reducing resource waste.

The invention provides a ship structure sheet body model weight gravity center rapid statistical method based on a 3DE platform, and the method aims at a sheet body model which only contains material specification information and has no thickness display attribute, and comprises the steps: constructing a density configuration table of a lightweight material, responding to the selection of a user for a segment / block / whole ship node, and obtaining a density configuration table of the lightweight material; extracting all part objects and hierarchical relationships thereof under the node; for a plate part, automatically calculating a projection area based on sheet body surface geometric data, and extracting a plate thickness; for the profile part, analyzing the geometric data of the profile center line to calculate the length, and associating the section specification library to obtain the sectional area; and carrying out batch calculation on the weight and the gravity center, and generating a verifiable statistical report: outputting a detail table containing the unique ID of the part, the weight and the gravity center coordinates, and a dosage table summarized according to material types. According to the technical scheme, aiming at the problem that the original function of the 3DE platform cannot rapidly measure the weight center of gravity of the structure sheet body model, the statistical efficiency of the weight center of gravity of the structure sheet body model is improved, and the design period is shortened.

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 steel ladle matching method based on dynamic process rhythm control and intelligent steel ladle management, which comprises the following steps: acquiring real-time production information, a continuous casting production plan and a time-consuming static table of each process, calculating to obtain the starting and ending time of each process, automatically acquiring the continuous casting pulling speed, dynamically adjusting the operation rhythm of each process, and controlling the continuous casting pulling speed according to the operation rhythm of each process. Generating a process operation timetable; the state of the steel ladle is monitored in real time through steel ladle maintenance management, use management and baking management, so that the real-time state of the steel ladle is obtained; according to the working procedure operation timetable and the real-time state of the steel ladle, a proper steel ladle is allocated to each furnace of molten steel, and a steel ladle allocation table is generated; by collecting and analyzing data in the management process, a statistical report is generated, and steel ladle information overview is achieved; and displaying a process operation timetable, a steel ladle matching table and a statistical report form through a graphical interface so as to be checked by an operator and provide decision support. Intelligent ladle matching is achieved through dynamic process rhythm control and intelligent ladle management.

The invention belongs to the technical field of data processing, and particularly relates to a statistical report automatic data processing method which comprises the following steps: S1, a task engine: analyzing a user historical operation record through a manual or machine learning algorithm, and coding a table operation mode commonly used by a user; s2, a real-time monitoring and feedback mechanism: when the system executes an automatic task, when an exception is found, the system automatically pauses or reminds a user to intervene, so that the accuracy and the safety of data processing are ensured; and S3, expansibility and compatibility: the system supports mainstream spreadsheet software and form files in different formats, and provides an API interface at the same time, so that integration with other office systems is facilitated, and wider application scene coverage is realized. According to the method, the form task mode defined by the user can be automatically identified, and the repeated operation can be automatically executed or assisted to be efficiently completed by the user, so that the office efficiency is remarkably improved, human errors are reduced, and the employees can put more energy into more creative and decisive work.

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.