425 results about "Data reporting" patented technology

The invention relates to the technical field of artificial intelligence, and discloses an education data report content interaction method and system generated based on retrieval enhancement, and the method comprises the steps: judging whether a natural language problem is an education field problem or not through a large language model, and if yes, carrying out semantic analysis to generate a structured query instruction; when the problem relates to cross-document association analysis, retrieving the structured semantic index database to generate a retrieval result set; if policy association analysis is involved, matching a policy knowledge graph by combining semantic similarity calculation and an entity linking technology, and then performing cross-modal fusion processing to obtain a retrieval result set; and inputting the retrieval result set into the retrieval enhancement generation model, and calling an education field language model to generate an analysis report. According to the method, the industrial pain points of inaccurate intention recognition, low cross-document analysis efficiency, incapability of dynamically combining with latest policies and the like in a traditional interaction mode can be solved, the efficiency and quality of data report interaction in the education field are remarkably improved, and the user interaction experience is optimized.

A data processing system implements receiving, via a user interface, report context and a request to generate insights of a data report; constructing a first prompt by appending the request a default system prompt, the report context, and the data report as a first instruction string; validating the first prompt using a second generative model by checking whether the first prompt is structured according to sections that contain one or more predetermined purposes and whether the default system prompt is responsive to the report context; when the first prompt is validated by the second generative model, providing the first prompt to the first generative model; generating, by the first generative model and according to the first prompt, an insight output; receiving the insight output from the first generative model; and providing the insight output to display on the user interface.

The invention discloses an automatic work reporting method and system based on process dependence, and the method comprises the steps: obtaining and analyzing a process stream code or an equipment tool code scanned by a user through employing a work reporting device, and obtaining code scanning information; identifying the current process of the current task of the user according to the code scanning information; according to a preset process dependence inference engine, automatically filling the completion number of the current process as the work reporting number of the current process; the preset process dependence inference engine is used for inferring and filling the completed number of the current process through a preset process dependence relation graph, the preset process dependence relation graph is used for recording all the processes in the production process and the dependence relation between all the processes, and the dependence relation points to the next process from the previous process; and when the work reporting quantity of the current working procedure meets a preset condition, storing the work reporting quantity of the current working procedure and the working procedure log information, and generating description information of work reporting success for voice broadcasting. Therefore, by adopting the method and the device, the reporting timeliness and accuracy of the production data can be improved.

The present application provides a data query method and apparatus, and a related device. The data query method comprises: semantically parsing a natural language inputted by a user; converting the semantically-parsed natural language to generate a structured query language; querying a data report library or a database on the basis of the generated structured query language, wherein the data report library comprises one or more data reports, and the data reports are obtained by performing sorting on the basis of the service logic relationship of data; displaying to the user data reports, in the data report library, matching the natural language; or retrieving data, in the database, matching the natural language inputted by the user to form data reports, and displaying the data reports to the user. By means of the natural language inputted by the user, data reports can be directly and rapidly retrieved. In this way, the obtained data reports are user-customized, thereby improving the efficiency of data query.

The invention provides a touch screen coordinate data reporting method and device and a storage medium. According to the method, in the sliding operation scene, according to the timestamp of the data transmission signal sent by the target application, multiple pieces of coordinate data collected by the touch screen are screened, and the screened coordinate data are sent to the target application, so that the link that the target application carries out resampling on the multiple pieces of coordinate data is reduced, the performance of the electronic equipment is improved, and the user experience is improved. And the power consumption of the electronic equipment is reduced, so that the user experience is improved.

The invention discloses an inspection report generation method and device, equipment and a storage medium. The method comprises the following steps: determining abnormal inspection data and a report object of data center equipment; determining structured inspection data according to the abnormal inspection data, a preset equipment knowledge graph and a historical case library; determining a report constraint condition according to the report object and a preset report generation rule; and inputting the structured inspection data and the report constraint condition into a pre-trained large language model, and generating an inspection report oriented to the report object. According to the technical scheme, the preset equipment knowledge graph and the historical case library are constructed in advance, the fault linkage effect and the historical similar cases across the equipment are identified based on the inspection data, the inspection reports facing different report objects are dynamically generated, and the generation efficiency, the flexibility and the comprehensiveness of the inspection reports are improved.

The embodiment of the invention provides a test task scheduling method and device, equipment, a medium and a program product, and the test task scheduling method comprises the steps that a test task instruction sent by a user operation interface is received, and the test task instruction comprises a selected application identifier, a test case and at least one tested terminal; a test task is distributed to at least one tested terminal in parallel, and the test task is used for deploying and running an application corresponding to the application identifier and executing the test case; and receiving test result data collected and reported by at least one tested terminal. Through receiving user instructions and performing unified scheduling, centralized management and parallel distribution of test tasks are realized, through automatic deployment, operation and data reporting, manual intervention is reduced, flow consistency is ensured, execution efficiency is improved, multi-device collaborative test is realized, test coverage rate and reliability are remarkably improved, and manual operation errors are reduced.

The invention belongs to the technical field of geological sample analysis, and particularly relates to a heavy mineral fidelity pretreatment and morphology automatic characterization method based on artificial intelligence. The method is based on a medium-low hardness heavy mineral fidelity separation and purification technology, an integrated multifunctional target manufacturing technology, a microscopic image intelligent acquisition technology and intelligent identification and feature extraction based on deep learning. The method comprises the following steps: acquiring fidelity heavy mineral particles which maintain the original three-dimensional morphology, are not reset in internal thermosensitive geological records and are not subjected to any systematic deviation screening on population composition, calculating a series of morphological parameters such as an extension coefficient, roundness, color and the like of each heavy mineral particle, and finally outputting a structured quantitative data report. According to the method, multidirectional and intelligent fidelity is realized from the source, and the analysis flux and objectivity are greatly improved by an automatic process, so that systematic and quantitative mineral resource general survey on massive fine particles in a giant deposition system becomes possible.

The invention discloses a data quality monitoring and intelligent blocking system, system and product based on a rule engine, which are used in the field of data management. The system comprises a basic website, an intermediate transfer center and a headquarters data center. The basic network point obtains the express data, performs data legality verification, blocks illegal data, and transmits legal data to the intermediate transfer center; the intermediate transfer center obtains input data, calibrates a first input link, performs analytical verification, blocks data not passing the verification, sends a blocking feedback signal to a data source, and transmits the data passing the verification to the headquarters data center; and the headquarters data center obtains input data, calibrates a second input link, associates the second input link with the first input link, and provides data reports of different dimensions based on a preset analysis dimension after storage. According to the method and the device, the express data is monitored in a full-process coverage manner, the problem data is prevented from being propagated to the downstream, and the express data is comprehensively, conveniently, efficiently and reliably managed and controlled.

The invention discloses a multi-node sensor communication link cooperative scheduling method and system based on star flash, and relates to the technical field of new-generation wireless communication and sensors. The method comprises the following steps: constructing a star flash sensor data reporting system; calculating a node valid data volume based on parameters such as sensor types and channel numbers; estimating transmission time and distributing time slots in combination with a star flash frame structure; transmission parameters are dynamically adjusted through a real-time link quality perception and prediction model, and a data priority and preemption mechanism is supported; issuing a scheduling strategy by using the JSON configuration file; and the nodes communicate according to configuration and realize fault self-diagnosis and self-healing. The system comprises a star flash management node, a sensor node and an embedded cooperative scheduling engine. According to the method, multi-node cooperative scheduling, link adaptive optimization and system autonomous recovery are realized, and the communication reliability, the channel utilization rate and the system robustness are remarkably improved.

The invention relates to the technical field of motor test equipment, in particular to a multifunctional motor test operation system and method, and the method comprises the steps: a parameter detection module synchronously collects voltage, current, frequency, temperature, vibration, insulation resistance and DC resistance parameters, and converts the parameters into electric signals; the data processing module carries out amplification, filtering and analog-to-digital conversion on the electric signal to obtain a measured value; the storage module stores the measured value; and the report generation module automatically generates a test run report containing parameter analysis and qualification conclusions through a preset template based on the stored value. The parameter detection module synchronously collects various parameters and converts the parameters into electric signals, the data processing module processes the signals to obtain accurate measured values, the storage module stores data, and the report generation module automatically generates a test run report containing analysis and conclusion based on the stored values. The problems that the function is single, data integration is difficult and report generation is tedious are solved, the testing efficiency and accuracy are remarkably improved, and manual errors are avoided.

The invention relates to the technical field of fusion terminals, and particularly provides a fusion terminal data reporting missing rereporting method and system and a medium, and the method comprises the steps: through a reporting task initialization mechanism, when a fusion terminal is started or a task scheme and a table file change, emptying historical data and carrying out initialization again; adopting an acquisition scheme matching strategy based on the matching degree and the interrogation interval to accurately select a target acquisition scheme; in combination with a two-stage compensation mechanism of self-compensation and failure linked list compensation, compensation is scheduled according to protocol timeout in the self-compensation stage, and periodic compensation, forced compensation and redundant data cleaning are executed in the failure linked list stage. Through the above steps, the integrity and reliability of data reporting of the fusion terminal are effectively improved, and the accuracy of collection success rate statistics of the master station is guaranteed.

A base station sends a report message of a data flow comprising a plurality of protocol data unit (PDU) sets, wherein the report message indicates at least one of the data flow not being fulfilled or a fulfilled alternative quality of service (QoS) parameter set indicating at least one of a PDU set error rate (PSER) or a PDU set delay budget (PSDB).

The invention provides an intelligent submission method and device for manual measurement and reading data. Synchronously collecting data of dam monitoring points; performing target detection, number identification, pointer identification and scale identification on an instrument area in the image to generate structured measurement and reading data; intelligent matching and automatic filling of the structured measurement and reading data and report fields are realized through a natural language processing technology; performing anomaly detection and threshold judgment on the filled report data, identifying a potential risk level, and selecting a submission path through a preset grading submission mechanism according to the risk level; and synchronously uploading the hash value of the original image data and the structured data to a block chain system, executing double-chain storage, and automatically starting an intelligent contract of an emergency process when a preset triggering condition is met. According to the method, the dam monitoring data submission efficiency and accuracy can be effectively improved, intelligent identification and real-time hierarchical transmission of multi-source data under complex working conditions are realized, and the credibility and traceability of the data are guaranteed through a block chain technology.

The invention relates to the technical field of structure health monitoring, and discloses a power transmission tower structure health monitoring method based on Beidou fusion positioning and edge intelligence, and the method comprises the steps: obtaining position data outputted by a Beidou positioning module and inertial measurement data outputted by a multi-mode inertial measurement unit; performing multi-sensor data fusion processing on the position data and the inertial measurement data at the edge side to generate state vectors including the position, the speed and the attitude of the monitoring point of the power transmission tower; executing structure state intelligent analysis based on the state vector, calculating an inclination angle and a displacement amount, and performing evaluation by using an artificial intelligence model to obtain a structure health index; and when any parameter exceeds a preset alarm threshold value, executing event-driven data reporting. By completing data analysis and decision at the monitoring front end, high-precision dynamic sensing of the structure state of the power transmission tower is achieved, meanwhile, system power consumption is greatly reduced, and the real-time performance of safety early warning is improved.

The invention relates to the technical field of electronic transformers, and discloses a passive wireless high-reliability electronic transformer data reporting method, system and device and a medium, and the method comprises the steps: employing different reporting strategies for different types of transformer nodes when the residual electric quantity is lower than a threshold value; and the timeliness of data reporting and the power consumption are effectively balanced. For a mutual inductor node undertaking a core parameter monitoring task, basic report data is sent at the lowest report frequency, stable transmission of core data is ensured, and excessive power consumption is avoided at the same time; and for non-core parameter monitoring task nodes, temperature, voltage and current data are sent at a preset reporting frequency, so that the electric quantity loss is further reduced while important data are reported. And through a mode of temporarily storing other collected data, unnecessary data transmission is avoided, and the use efficiency of the electric quantity is improved. The reliability and the stability of the system are improved.

The invention provides a carrier pigeon foot ring data reporting scheduling method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining carrier pigeon foot ring data, carrying out the data preprocessing, generating a carrier pigeon density distribution thermodynamic diagram, and evaluating the motion state of a carrier pigeon according to the current position data and historical competition data of the carrier pigeon; according to the homing pigeon foot ring data and the base station historical data, predicting the real-time load of each base station through the constructed multi-modal space-time fusion prediction model; determining an access conflict occurrence probability according to the position and the motion state of the foot ring of the carrier pigeon and a base station load prediction result, carrying out space-time two-dimensional grouping on the foot ring of the carrier pigeon, and generating and issuing a foot ring network access and information reporting strategy according to grouping information; a base station load state and a carrier pigeon state in a competition process are monitored in real time, and a foot ring network access and information reporting strategy is dynamically adjusted based on a dynamic parameter optimization mechanism. According to the invention, terminal access congestion is avoided, the terminal access speed is effectively improved, and the terminal access power consumption is reduced.

The invention discloses a data aggregation method with fault tolerance and privacy protection functions, and relates to the technical field of smart power grid data security. The method comprises the following steps: setting security parameters, and issuing public parameters; enabling the intelligent electric meter to randomly select a first private key and a blind factor to calculate and publish a first public key, and enabling the aggregation gateway to randomly select a second private key to calculate and publish a second public key; encrypting the collected power consumption data of the user by using the intelligent electric meter to generate a data report; when the aggregation gateway receives the data report, executing a traditional data aggregation algorithm, and if the data report receives the data report, executing a data aggregation algorithm supporting fault tolerance to generate an aggregation ciphertext; and verifying the validity of the data and the time in the data center, and performing data recovery by using the private key. According to the method, data aggregation with fault-tolerant and privacy protection functions can be realized for two application conditions of a fault ammeter and a fault-free ammeter.

The invention relates to the technical field of fault diagnosis of intelligent wearable equipment, and particularly discloses a fault early warning system and method for intelligent glasses based on big data analysis. The system adopts an edge-cloud collaborative architecture, and comprises an edge processing module deployed at the local of the glasses, a deep analysis module deployed at the cloud and a collaborative communication and decision module. The edge processing module performs real-time feature extraction and anomaly scoring on the sensor data; the deep analysis module performs deep fault diagnosis and trend prediction on the reported information; and the cooperative communication and decision module intelligently decides data reporting and early warning triggering through a dynamic threshold adaptive mechanism. According to the method, millisecond-level real-time response is ensured, meanwhile, the data transmission load is reduced, and the detection precision of early fault symptoms is improved.

The invention provides an assembly interference analysis method based on CATIA (computer-graphics aided three-dimensional interactive application). Comprising the steps that simulation resources are prepared, and technical state confirmation and lightweight format conversion are conducted on products, assembly parts and tool models; assembling path planning: planning a collision-free motion path from a starting point to an end point for the to-be-assembled part in the virtual environment; static interference inspection: detecting space overlap among all components of the assembly body in a non-motion state; dynamic interference detection: static interference detection is carried out on a part movement envelope and an external part, and the interference condition in the movement process is judged; and interference analysis output: outputting an analysis result in a visual highlight, data report and image / video form. Through systematized static and dynamic interference check processes, the problem of assembly interference of products in the design stage is effectively solved, and the design quality and the assembly efficiency are greatly improved. The method is suitable for being applied as a CATIA-based assembly interference analysis method.

The invention discloses a livestock intelligent ear tag and management system, which comprises a Bluetooth AOA positioning module, a UHF RFID module, a sensor module and a dynamic power consumption management unit, and is characterized in that the Bluetooth AOA positioning module realizes centimeter-level dynamic positioning through a base station array, and the dynamic power consumption management unit adjusts the data reporting frequency according to the livestock motion state. The Bluetooth AOA positioning module and the UHF RFID module are dynamically switched and multiplexed in a time division mode, and the limitation of a traditional ear tag on precision, endurance and reliability is broken through through three core technologies of double-frequency cooperation, dynamic power consumption and a glue-pouring-free technology.

The invention relates to the technical field of thermal power plant data management, in particular to a chemical supervision and management method and system based on a thermal power plant, and the system comprises a regular task management module, a chemical test report inputting and editing module, a data auditing module and an abnormity early warning and processing module which are in communication connection in sequence. The regular task management module creates a chemical supervision task according to a thermal power plant technical standard criterion; the chemical test report inputting and editing module adopts a standardized report template to input chemical test report data according to the executed chemical supervision task; the data auditing module is used for regularly auditing the chemical test data report according to a multi-stage data auditing mechanism; and when abnormal data occurs in the chemical test data report, the abnormal early warning and processing module timely gives out early warning, rechecks the abnormal data, carries out data analysis and generates an analysis report, so that the chemical supervision work of the thermal power plant can be efficiently and accurately carried out.

The invention provides a garden carbon sink function zoning method fusing multi-source remote sensing data, and relates to the technical field of garden carbon sink evaluation and remote sensing monitoring. The method comprises the following steps: acquiring multi-source remote sensing data such as optical remote sensing, radar remote sensing and laser radar; performing radiometric calibration, atmospheric correction and geometric correction preprocessing on the data; vegetation characteristic parameters such as a normalized vegetation index, a leaf area index and surface temperature are extracted; calculating garden carbon sink efficiency parameters based on the vegetation characteristic parameters; calculating garden carbon sink function zoning parameters in combination with topographic data; performing carbon sink function zoning on the garden area by adopting a clustering algorithm, and dividing high, medium and low carbon sink function level areas; and outputting a carbon sink function division spatial distribution diagram and a data report. According to the method, evaluation comprehensiveness is improved through multi-source data fusion, accurate quantification is realized through innovative parameter calculation, scientificity and repeatability are improved through an objective partitioning method, and garden carbon sink fine management is effectively supported.

The application discloses a method for designing and calibrating a detection site of an unmanned aerial vehicle based on high-precision positioning, comprising the following steps: S1, setting a main control point and a standard point; S2, performing static relative measurement and free station measurement, and outputting a reference coordinate data set; S3, introducing a Boolean sand model, calculating accurate three-dimensional coordinate values of the main control point, evaluating residual errors, and generating reference data of the main control point; S4, performing multi-station redundant observation on the standard point, and outputting accurate coordinate data of the standard point; S5, constructing an improved Hamilton Monte Carlo-based Bayesian inference model, introducing a Gaussian mixture prior guide factor, calculating a posterior probability distribution and an extended uncertainty, and generating a calibration data report; and S6, performing independent measurement and comparative analysis, and outputting a final calibration result. The application realizes accurate measurement of point coordinates of a detection site and scientific evaluation of uncertainty, and effectively improves the reliability and robustness of value traceability.

The present application relates to data processing technology, disclose a kind of data reporting method, comprising: obtaining data to be reported and historical data set, wherein each historical data in the historical data set has corresponding reporting time label;According to the reporting time label, the historical data in the historical data set is filtered, and target historical data is obtained;The data to be reported and target historical data are compared, and according to the comparison result, the newly added and changed data in the data to be reported is reported by screening.The present application also relates to a kind of block chain technology, and the data to be reported can be stored in block chain node.The present application also proposes a kind of data reporting device, equipment and medium.The present application can improve the efficiency of data reporting.

A device, method, and system for flight path network data reporting. A request for an unmanned aerial vehicle (UAV) flight path network data report indicating at least one waypoint is received. In response to the request for the UAV flight path network data report, a request for data analysis information regarding the at least one UAV corresponding to the at least one waypoint is transmitted. In response to the request for data analysis information, data analysis information regarding the at least one UAV corresponding to the at least one waypoint is received. A UAV flight path network data report is transmitted based on the data analysis information. In some implementations, a network device implements a crewless air system network function (UAS-NF). In some implementations, the network device receives a request for a UAV flight path network data report from a UAS service supplier (USS).

The invention discloses a structure angle and vibration intelligent detection method based on an intelligent sensor, and belongs to the technical field of sensor data processing, and the method comprises the following steps: S1, presetting an inclination angle and vibration data collection frequency, presetting inclination angle and vibration abnormity alarm conditions, and presetting an inclination angle and vibration data reporting period; s2, inclination angle values and acceleration values of the X axis, the Y axis and the Z axis are collected; s3, filtering and denoising are conducted on the collected three-axis dip angle values and acceleration values, and the angle change rate and the acceleration change amount are calculated; s4, whether angle and vibration abnormity exists or not is judged; s5, reporting; according to the invention, the detection precision can be improved, and the detection response time can be prolonged; meanwhile, the uploading period is divided into a non-alarm state and an alarm state, so that the endurance time is prolonged; meanwhile, the threshold value can be dynamically configured, and the multi-scene monitoring requirements of bridges, landslides and the like are met.

This invention belongs to the field of medical data processing technology and provides a graphene physiotherapy data processing system and method for comparing the effects of acupoints on dysmenorrhea. Based on preset physiotherapy parameters, it records physiotherapy execution data for acupoint groups and non-acupoint groups. Multi-dimensional data of subjects are collected according to preset time nodes. Subjects are randomly divided into acupoint groups and non-acupoint groups according to preset rules, and the baseline data of the grouped subjects is used as benchmark data. The benchmark data is classified, and corresponding statistical analysis methods are used to analyze the classification results for different categories. Combining the benchmark data, the physiotherapy execution data, and the multi-dimensional data, the specificity quantification results of the acupoint effects in the acupoint groups and non-acupoint groups are calculated according to the specificity quantification formula. A standardized data report is generated based on the statistical analysis results and the specificity quantification results of the acupoint effects. This achieves objective collection, precise processing, and quantitative analysis of physiotherapy effect data for acupoints and non-acupoints.

Methods, systems, and devices for wireless communications are described. A first network entity may obtain one or more request messages for collecting data reports associated with one or more user equipment (UEs). The first network entity may output a first message requesting that a second network entity provide the data reports associated with the one or more UEs after the data reports are collected. The first network entity may output, via the user plane and to the one or more UEs, a second message including data collection information (e.g., a data collection configuration, information associated with autonomous data collection) for collecting the data reports from the one or more UEs. The first network entity may obtain, from the second network entity, reporting messages including the data reports, where the data reports may be sent from the one or more UEs to the second network entity via the user plane.

The embodiment of the invention provides a positioning method and device, communication equipment, a communication system, a storage medium and a program product. The method is executed by a first node, and comprises the following steps: acquiring measurement data obtained by measuring a positioning reference signal at n time domain sampling points by the first node; the measurement data comprises first power data and time delay data; the first power data indicates the measurement power of the positioning reference signal; the time delay data indicates a measurement time sequence of the first power data; n is a positive integer; sending the first information to the second node; the first information is used for the second node to determine positioning information, and the first information comprises time delay data of n pieces of measurement data measured by the first node; the time delay data of the n pieces of measurement data are ranked in the first information according to the size of the first power data of the n pieces of measurement data. According to the technical scheme provided by the embodiment of the invention, the data reporting overhead of the communication system can be reduced under the condition of ensuring the positioning accuracy.