603 results about "Data reporting" patented technology

The invention relates to the technical field of aluminum alloy processing, in particular to an aluminum alloy component multi-source heterogeneous production data acquisition system and method. The method comprises the following steps that multi-source heterogeneous sensing equipment is dynamically deployed along a drill bit machining track of a core machining unit to extract original signals, then multi-source data streams are gathered according to aluminum alloy working procedure features, and finally a component-level original heterogeneous data set is generated; carrying out feature enhancement processing according to the component-level original data set, and carrying out band element data matrix construction to obtain a band element process instance record; therefore, by constructing the cross-scale fused aluminum alloy full-process digital twin, the problem that a traditional manufacturing process lacks whole-process, multi-dimensional and reversible traceability data support is solved, and the precision of aluminum alloy component quality analysis, the pertinence of process optimization and the automation level of data reporting are improved.

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.

The invention discloses an intelligent operation and maintenance method for modular data acquisition and analysis sewage treatment equipment, which comprises the following steps: designing a modular data acquisition unit, configuring an acquisition module with a standardized interface, and realizing quick access of multi-source equipment; protocol conversion, data compression and timestamp completion are completed by using an edge computing gateway, and stable data reporting under a complex network is realized by combining an MQTT protocol; a time sequence database is adopted to store and fuse OA / ERP system data, and an information island is broken; remote diagnosis, intelligent early warning and visual decision making are realized by means of a remote fault analysis interface, a user-defined rule engine and a configurable billboard; and operation and maintenance closed-loop management is achieved in cooperation with a workflow engine. The method effectively solves the problems of low data acquisition integration level, unstable communication, weak analysis capability and the like in traditional operation and maintenance, has the characteristics of modularization, intelligence, high efficiency and the like, remarkably improves the operation and maintenance management level of the sewage treatment equipment, reduces the operation and maintenance cost, and has a wide application prospect.

The invention relates to the technical field of ground washing vehicles, and discloses an indoor ground washing vehicle path planning method and device, and the method comprises the steps: collecting the multi-source data of an indoor environment, carrying out the probability field construction processing of a hierarchical feature map, obtaining a dynamic change region of an initial path sequence in real time, and carrying out the calculation of the dynamic change region. Performing multi-objective optimization on the conflict labeling path sequence, performing deep learning regulation and control on the reconstructed path sequence based on an experience playback mechanism, controlling the ground washing vehicle to execute cleaning and obtain execution data according to the real-time path sequence, and performing dynamic regulation and control on the reconstructed path through a deep learning model, so that the path has real-time offset capability. And the robustness of the path in a complex dynamic scene is ensured. Furthermore, execution data is fed back for self-learning through a closed-loop mechanism, continuous evolution of a path planning strategy is achieved, a data report reflecting the cleaning effect is finally generated, and the cleaning operation quality is continuously guaranteed.

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 provides an offshore wind farm operation and maintenance data management system and method based on a block chain, and relates to the technical field of offshore wind farms. Comprising a data acquisition module, a storage management module, a block chain module, an index optimization module and a report generation module. High-efficiency management of hot, warm and cold data is realized through a multi-level storage architecture, credibility and security of the data are ensured by adopting a block chain network, query performance is optimized in combination with adaptive indexing and dynamic fragmentation, and a full-life-cycle operation and maintenance data report is generated. According to the method, the data storage efficiency can be improved, the data credibility is enhanced, the large-scale data management capability is optimized, and scientific decision support is provided for intelligent operation and maintenance of the offshore wind plant.

The invention belongs to the technical field of wireless household electrical appliance intelligence, and discloses a wireless household electrical appliance intelligent identification and analysis method and system based on multi-protocol fusion, which can automatically extract new equipment protocol features through centralized middleware scheduling and adaptive learning mechanism of a protocol adaptation engine unit in combination with dynamic model training of an AI identification center unit. Generating a temporary adaptive interface and updating the protocol template; the dynamic protocol library supports OTA updating, a novel protocol and unknown equipment can be adapted without manual configuration, and the defects that the number of traditional system equipment is increased, and protocol type expansion is blocked are overcome; the intelligent optimization module dynamically adjusts the bandwidth priority and the data reporting frequency based on reinforcement learning and behavior prediction, guarantees smooth communication of key equipment in a high-concurrency scene, reduces standby power consumption of idle equipment, solves the problems of high-concurrency delay and high energy consumption of a traditional system, and improves the system reliability. And double improvement of identification reliability and system energy efficiency is realized.

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 an electric power data acquisition control method and device, and a storage medium. The method comprises the following steps: receiving a control instruction; executing a control action according to the type of the control instruction, which comprises any one of the following steps: if the control instruction is a data acquisition instruction, acquiring acquisition data, splitting the acquisition data into a structured data unit by taking a measurement point dimension as a unit, and storing the structured data unit into a task data table; and if the control instruction is a data reporting instruction, obtaining corresponding structured data units in a task data table in batches to generate task data group packets, and reporting the task data group packets to a server. According to the method, integrated fine control of electric power data acquisition, storage and reporting is realized through a measurement point dimension structured data splitting and dynamic packaging mechanism, the data transmission efficiency, the data analysis capability and the acquisition reliability are synchronously improved, and the technical effect of matching of service requirements and storage structures is fundamentally realized.

The invention relates to the technical field of data processing, in particular to a data reporting method, a data reporting toolkit and a data auditing platform, and the method comprises the following steps: calling a preset timer interface in response to an external client, so as to collect auditing data from a preset database by using the timer interface; performing pre-aggregation processing on the audit data according to a preset rule and a preset field to obtain aggregated data; based on a lock-free design mode, performing secondary aggregation processing on the aggregated data according to a preset data structure to obtain an audit message, and caching the audit message in a preset cache middleware; writing the audit message in the cache middleware into preset distributed message middleware in an asynchronous mode; wherein the distributed message middleware is used for asynchronously consuming auditing data from the distributed message middleware by an external data auditing system. Therefore, the problems that an existing data auditing system is low in performance, high in coupling performance, poor in flexibility and the like can be effectively solved.

The invention discloses a vehicle authentication detection task analysis system, and the system comprises a task management center which builds a mapping relation among contract entries, customer detection standards and an internal standard library; the sample car parameter intelligent processing unit is used for capturing data through an API (Application Program Interface) of the Ministry of Communications, verifying the integrity and performing deviation early warning on additional recorded parameters; the sighting judgment core engine is used for analyzing the multi-dimensional similarity between the sample vehicle and historical data based on a random forest algorithm; and the abnormal process control gateway drives the dynamic approval workflow and is connected with a short message platform to push an encrypted link and an overtime alarm. The system integration message middleware synchronizes CSS platform data in real time, the report generation module dynamically fills a detection result through an XML template and calls RESTful API signature, and batch asynchronous processing of historical reports and compression downloading of digital watermarks are supported. According to the invention, the problems of low task analysis efficiency, flow splitting and difficulty in compliance management in vehicle authentication detection are solved.

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 artificial intelligence, and discloses a data processing method and device based on a mirror data layer, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-submitted data, generating submission batch information for the to-be-submitted data based on a data exit layer, and carrying out the partition management of the to-be-submitted data, and submitting the to-be-submitted data to a specified mechanism, when it is detected that the to-be-submitted data is submitted successfully, obtaining storage receipt information returned by the specified mechanism after receiving the to-be-submitted data; and when determining that the to-be-submitted data is successfully stored based on the storage receipt information, writing the to-be-submitted data into the mirror image data layer, and performing partition management on the to-be-submitted data according to the submission batch information to complete data submission of the to-be-submitted data. In the financial insurance field, especially in the life insurance business, the mirror image data layer provides a reliable data basis for data auditing and compliance inspection, the accuracy in the data management process is ensured, manual intervention is reduced, and an insurance company is helped to meet supervision requirements.

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.

The invention provides an agricultural product quality safety monitoring system with no-damage detection end data preferential chaining, and relates to the technical field of agricultural product quality safety, an alliance block chain network of the system comprises an evidence storage gateway and consensus nodes, and the consensus nodes comprise a detection node, a logistics node, a sales node and a supervision node; the evidence storage gateway is used for writing a detection data report of a target agricultural product as an initial transaction into the alliance block chain network after receiving the detection data report of the target agricultural product sent by the damage-free detection end, and generating a block chain identifier uniquely bound with the detection data report; the nondestructive detection end uploads a detection data report in real time after generating the detection data report; the consensus node adopts an improved PBFT consensus mechanism, the detection node serves as a first priority node of data uplink, data about target agricultural products sent by the production end, the logistics end and the sales end needs to be stored in association with a detection data report, and the supervision node has a one-ticket override capability. The authenticity and timeliness of agricultural product quality safety detection data can be improved.

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).

This application is applicable to the fields of intelligent decision-making and data analysis technology, and provides a data report generation method and device based on robotic process automation. The method includes: configuring the RPA operation process according to the task instructions issued by the user, accessing the target business system based on the start and end addresses, obtaining business data and saving the business data in the local file of the report display system according to the time when the data was generated, and performing time index positioning in the local file based on the extraction rules, determining the starting data extraction position and extracting the target business data required for this data report from the local file according to the data extraction position. Finally, the target business data is loaded into the report generation template preset in the report display system and the report generation template is refreshed to generate the data report. This method is unattended, data transmission is secure, efficiency and accuracy are high, and cost is low.

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 discloses a method and a device for triggering storage data reporting for wireless communication. The terminal receives the first measurement configuration; storing the target measurement information in a first storage unit; the measurement result for the first measurement configuration comprises the target measurement information; sending a target signaling, wherein the target signaling indicates the target measurement information; the target signaling is the first candidate signaling or the second candidate signaling depends on the triggering mode of the target signaling; wherein the first candidate signaling is different from the second candidate signaling; when the target signaling is triggered by a first RRC message, the target signaling is the first candidate signaling; wherein the first RRC message is received through a downlink control channel (DCCH); when the target signaling is triggered by a first event, the target signaling is the second candidate signaling; wherein the first event is pre-configured, or the first event is determined by the terminal.

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 relates to the technical field of operation and maintenance security, and particularly provides an operation and maintenance data risk management and control method, a medium, equipment and a product, and the method comprises the steps: obtaining an operation and maintenance feature vector corresponding to multi-dimensional operation and maintenance data of a target instruction; identifying the operation and maintenance feature vector by using a risk identification model and a behavior intention identification model to obtain operation and maintenance risk data and behavior intention data; the operation and maintenance risk data comprises an operation and maintenance instruction risk level label, a risk classification confidence coefficient and an operation and maintenance instruction type label; the behavior intention data comprises an abnormal operation and maintenance instruction behavior and a behavior intention classification label; analyzing the operation and maintenance risk data and the behavior intention data by using an intelligent strategy response model, and determining an operation and maintenance risk management and control strategy; the operation and maintenance risk management and control strategy comprises instruction release, instruction blocking, data reporting or alarm information generation. According to some embodiments of the invention, accurate identification and timely management and control of operation and maintenance risks can be realized.

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.