756 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.

The invention relates to the technical field of dynamic data processing, and discloses an organic data reporting method, which comprises the following steps of: constructing a dynamic characteristic weight model, comprehensively quantifying the importance of data through time characteristics, spatial characteristics and context relevance, introducing differential privacy noise protection to high-weight data by utilizing a hierarchical privacy protection strategy, and reporting the data to the dynamic characteristic weight model; the low-weight data is subjected to lightweight encryption processing; a multi-level cache queue and a dynamic bandwidth allocation mechanism are combined, and low-delay reporting of high-priority data is preferentially guaranteed; and recalculating and comparing the dynamic characteristics of the data after privacy protection through a collaborative verification mechanism to ensure the context consistency of the data. According to the invention, the balance of privacy protection, security and real-time performance is realized through cooperation of multiple modules, the contradiction between privacy protection and data integrity is broken through, the transmission reliability and efficiency of high-priority data are remarkably improved in a high-traffic scene, and full-link optimization from data acquisition to data reporting is formed.

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.

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 a vital sign data acquisition method and system supporting multi-device synchronization. The method comprises the following steps: acquiring vital sign data and various key event data of a patient through multiple types of acquisition equipment, and generating a personalized synchronous configuration file; based on the personalized synchronous configuration file, carrying out dynamic adjustment and optimization by applying a self-adaptive time sequence calibration algorithm to ensure that data acquisition time sequences are highly consistent, and adding microsecond-level time stamps by adopting a high-precision timestamp embedding technology to generate a vital sign data stream; based on the vital sign data stream, monitoring and evaluating signal stability by using a real-time spectral analysis algorithm, automatically adjusting acquisition frequency and a sampling strategy, and implementing immediate adjustment by adopting an environment adaptive adjustment technology to generate a multi-source vital sign data set; and generating a standardized vital sign data report based on the multi-source vital sign data set. According to the technical scheme provided by the invention, the quality and consistency of the vital sign data synchronously collected by multiple devices are greatly 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.

Disclosed are techniques for communication. In an aspect, a network component determines that a level of heterogeneity associated with a network layer of a hierarchical network layer arrangement with multiple network layers is above a threshold. In some designs, the heterogeneity level determination may be based on heterogeneity metric(s) reported by device(s) associated with the network layer. The network component may transmit, to at least one device associated with the network layer in response to the heterogeneity level determination, a data reporting instruction associated with the network layer. The network component receives data associated with the network layer from the at least one device in accordance with the data reporting instruction.

This disclosure describes systems and methods for a graphical interface including a graphical representation of medical data. The graphical interface platform may receive medical data and provide medical safety reporting capabilities including reporting of history data and real-time visual monitoring data. The graphical interface platform may be configured to identify potential problems and corrections to medical devices in operation while a reporting cycle is underway through visual representation of performance metrics.

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 invention belongs to the technical field of information security, and particularly relates to a verifiable privacy protection multi-dimensional data aggregation method, system and device for Internet of Vehicles crowd sensing, and a medium. The method comprises the steps that a trusted authority center initializes system parameters; the task vehicle performs data aggregation, confusion and secret segmentation on the privacy data according to the system parameters and generates a data report; the roadside unit performs secret reconstruction, batch verification and data aggregation on all the data reports according to the system parameters to generate an aggregation report; the traffic management center verifies and recovers the aggregation report according to the system parameters to obtain an aggregation result; the data requester verifies the final aggregation result based on the commitment value; according to the method, the calculation overhead required by the traditional encryption and decryption technology is avoided, the integrity authentication overhead in the data interaction process is reduced, the method supports multi-dimensional data aggregation, storage and verification, and finer-grained aggregation is realized.

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 discloses a server-level computing power identification gateway, which relates to the technical field of Internet, and comprises an Agent agent program, a trusted springboard link, a data acquisition module, a computing power identification generation module and a data reporting module, the Agent agent program is deployed on a computing power enterprise intranet server and is responsible for establishing trusted connection with the gateway; and the trusted springboard link is used as a secure channel for data transmission and is responsible for ensuring that the data is not stolen or tampered in a transmission process. The server-level computing power identification gateway is realized through a lightweight Agent agent program deployed by an internal network server of a computing power enterprise, a trusted springboard link is established through SSH key authentication, and other servers authorized by the enterprise are skipped and logged in, so that the security of the gateway is enhanced through the mechanism, and bottom-layer resource data acquisition is realized in combination with an automatic script; and performing data summarization and resource coding on the acquired resource information, converting the resource information into a computing power identifier, and synchronously reporting the computing power identifier to a regional computing power identifier gateway.

The invention discloses an unmanned aerial vehicle access authentication method based on LORA communication, relates to the technical field of unmanned aerial vehicles, is applied between a ground control station and an unmanned aerial vehicle terminal, and realizes the functions of meteorological data acquisition, main intention data reporting and the like of an unmanned aerial vehicle under different base station conditions by using LORA as a communication carrier. Wireless transmission is used, so that the system can be quickly deployed to a multi-point position, complicated infrastructure construction is not needed, and the response speed of the communication system is greatly improved; the ground control station nodes can dynamically adjust the access number according to communication requirements and environment changes so as to optimize communication links and improve communication quality; no fixed communication line needs to be laid or facilities such as a base station need to be built, construction and maintenance cost is reduced, and economic benefits of a communication system are improved.

The invention relates to the technical field of Internet of Things, and discloses a discrete reporting method, device and equipment based on NB communication, a medium and a product, and the method comprises the steps: generating the reference time after the NB node is powered on based on the current time of the NB node or the time of a meter corresponding to the NB node; generating seed time after the NB node is powered on by adopting a preset algorithm based on the meter address corresponding to the NB node; calculating discrete reporting time of each NB node based on the reference time, the seed time and preset grouping information of the NB nodes, and reporting data according to the discrete reporting time; and calculating a data reporting success rate, and dynamically adjusting the discrete reporting time of each NB node based on the data reporting success rate. The discrete reporting time is calculated based on the reference time, the seed time and the preset grouping information, so that network resources can be reasonably distributed, the pressure on the network caused by simultaneous data reporting of a large number of nodes in the same time period is reduced, and network congestion is avoided.

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.

In certain embodiments, a method includes identifying, by a NIC of a node where application sender of an application executes, a network data unit for telemetry metadata insertion based on performing a match operation on information associated with the network data unit, wherein the network data unit is being transmitted from the application sender to an application receiver executing on another node; inserting, based on a first success of the first match operation, telemetry metadata into the network data unit, the telemetry metadata comprising network information and application specific information; stripping, by a last hop device along the data flow path, the telemetry metadata from the network data unit; generating, by the last hop device, a telemetry metadata report using the telemetry metadata; and providing the telemetry metadata report to an application collector executing on the second node.

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 data reporting method and a related device, and the method comprises the steps: determining the format of a media access control (MAC) control unit (CE) based on configuration information; the configuration information is used for indicating the terminal equipment to report a data volume in a logical channel group (LCG) through parameters in the first BS table; and generating and reporting a cache state information report corresponding to the MAC CE format. According to the embodiment of the invention, the BSR reporting with finer granularity can be realized, and the BSR reporting is more reasonable.

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.