39results about How to "Realize data sharing" patented technology

The invention discloses an earthquake monitoring linkage triggering device, and the device comprises an earthquake intensity instrument which is used for collecting an earthquake signal and outputting earthquake intensity; the sensor is used for collecting seismic activity data; the data acquisition host is used for processing the seismic intensity and the seismic activity data and transmitting the seismic intensity and the seismic activity data to the upper computer; and the upper computer is used for receiving, analyzing and displaying the seismic data. According to the invention, high-performance modular hardware is utilized, efficient and flexible software is combined to complete various testing work, signals of acquisition equipment are displayed and stored through the upper computer, seismic wave acquisition information is fused, data analysis and judgment are carried out, and earthquake monitoring can be comprehensively and automatically realized.

The invention relates to the technical field of carbon emission management, in particular to edge calculation carbon emission equipment with a display screen. The technical problems are that a traditional carbon emission monitoring method is difficult to realize real-time monitoring and quick response, during large-scale data processing, calculation bottleneck is often faced, analysis efficiency and precision are influenced, intelligent analysis means are lacked, and valuable carbon emission modes and trends are difficult to mine from mass data; according to the technical scheme, the edge calculation carbon emission equipment with the display screen comprises a data acquisition module, an edge calculation module, a cloud calculation module, an intelligent decision early warning module and an API interface, the carbon emission management device integrating real-time monitoring, intelligent analysis and early warning decision is developed, and the intelligence and the high efficiency of carbon emission management are remarkably improved by integrating multiple modules of data acquisition, edge calculation, cloud calculation, intelligent decision early warning and an API interface.

The invention discloses an aluminum electrolysis single anode real-time height calculation simulation model construction method, an anode fault diagnosis method and an aluminum electrolysis process optimization control method. The method comprises the following steps: S1, collecting real-time current data of each anode; s2, collecting the height, the horizontal section area, the volume density, the current efficiency data and the accumulated current flux data of the anode scrap during normal anode replacement of each anode; s3, analyzing an anode correlation influence coefficient; s4, analyzing a post-intervention coefficient; s5, analyzing the comprehensive index coefficient of the electrolytic cell; and S6, obtaining a final calculation model of the real-time height of the single anode. According to the method, the related factors of single anode consumption in the electrolytic cell are decomposed, the main influence factors of the single anode in the electrolytic cell are dynamically split, and the horizontal size error is eliminated in combination with the anode post-intervention treatment, so that the real-time consumption height of the single anode is accurately estimated, and the result digitization is realized; and high-efficiency control of the single anode of the electrolytic cell is realized and anode carbon consumption is reduced.

The invention relates to a diabetes exercise rehabilitation guidance system, relates to the technical field of diabetes rehabilitation, and aims to provide a personalized and scientific exercise management scheme for diabetics. The system comprises a user individual feature data acquisition module, an evaluation and classification module, an exercise scheme generation module, a real-time monitoring module and a feedback and adjustment module. By collecting the physiological parameters of the user in real time, the system automatically analyzes the health condition of the user and classifies the user into low-risk, medium-risk and high-risk exercise crowds. Based on a classification result, the system uses a machine learning algorithm to generate a personalized exercise scheme, and the safety of the exercise process is ensured through dynamic monitoring. The real-time monitoring module of the system can monitor the physiological data of the user in the exercise process and give an alarm in time when an abnormality is found. Through connection with an information system of a medical institution, the system also supports a remote medical function, so that doctors can check health data of patients in real time and provide professional guidance.

The invention provides a general semiconductor test data full life cycle management system, and the system comprises a test source data access module which is used for uploading a source test file in a test machine to the system; the full test data analysis and standard model conversion module is used for converting the uploaded source test file into a test file in a standard data format and transmitting the test file to the multi-dimensional KPI atomic model operation and persistent storage module; the multi-dimensional KPI atomic model operation and persistence storage module is used for calculating a multi-dimensional KPI atomic result according to the data in the test file in the standard data format and storing the multi-dimensional KPI atomic result to a persistence layer database; and the unified service output module is used for receiving a user query request, performing aggregation calculation on the multi-dimensional KPI atomic result in the persistent layer database according to the user query request, and returning a KPI result meeting the user query request. The system can improve the utilization efficiency of semiconductor test data and reduce the operation cost.

The utility model discloses an ecological environment monitoring device, which comprises a supporting leg and is characterized in that an auxiliary supporting assembly is arranged on the supporting leg, a driving assembly is arranged above the supporting leg, and a monitoring assembly is arranged on the driving assembly. According to the utility model, the helical gear I is rotated to drive the helical gear II, so that the rotation of the screw rod can be realized, the lifting of the sliding block is driven, a worker can take and place the monitoring assembly conveniently, the driving assembly can operate by using the rotating handle, the rotating handle can be separated, the worker can carry the monitoring assembly conveniently, the production requirements of parts are reduced, and the production cost is reduced; the monitoring assembly monitors the ecological environment of the area, the control module transmits data collected by the monitoring assembly to the central processing unit through the mobile communication module, and the data and the monitoring device of the area form a monitoring network to monitor the ecological environment of the area.

The invention discloses a virtual terminal loop checking method, system and device and a medium, and the method comprises the steps: receiving an actual configuration file and a standard configuration file corresponding to a to-be-checked transformer substation, and obtaining the actual configuration information corresponding to each virtual terminal loop from the actual configuration file; constructing a local knowledge graph corresponding to each virtual terminal loop according to the actual configuration information and a preset federated learning algorithm; constructing a global knowledge graph corresponding to the standard configuration file, comparing each local knowledge graph with the global knowledge graph, and determining a verification result corresponding to each virtual terminal loop according to a comparison result; and summarizing each verification result, and generating a verification report corresponding to the to-be-verified transformer substation, so as to improve the verification precision and efficiency.

The invention discloses a supplier evaluation method and equipment based on a data sharing mechanism, and a medium, belongs to the technical field of supply chain management, and aims to solve the technical problem of how to realize data sharing and intercommunication among different service systems, carry out comprehensive, scientific, objective and accurate grade division on suppliers, and improve the evaluation efficiency of the suppliers. In order to improve the efficiency and effect of supply chain management, the technical scheme adopted by the invention comprises the following steps of: constructing a data sharing platform: according to sharing requirements among departments, integrating data resources of each business system according to a unified format, and taking a standardized data directory and data resources as a basis; according to assessment rules and requirements, different evaluation indexes are selected, scheme making is completed, a weight is distributed for evaluation factors in an evaluation index system, and the importance of the evaluation factors in comprehensive evaluation is reflected; establishing an assessment personnel pool, and randomly distributing assessment personnel for different suppliers; performing assessment scoring and data collection; performing comprehensive scoring; and grade calculation and assessment result application.

The present invention provides a comprehensive management and control method and system based on digital twins and multi-source heterogeneous data processing, the following steps: scan the site, obtain point cloud data of the surrounding environment, reconstruct the reverse modeling of the geometric shape and structure of the building based on the point cloud data, and calibrate the model obtained by reverse modeling with the site; optimize the model; use multi-source heterogeneous data fusion technology to process and classify the heterogeneous data of various professional rail transit, and realize standardized data processing. The comprehensive management and control method and system based on digital twins and multi-source heterogeneous data processing provided by the present invention realizes the accurate mapping of the digital twin space to the real station environment, can associate the three-dimensional model with the multi-dimensional data attributes, assist in realizing the core functions such as virtual inspection, risk control and scheduling decision-making, and improve the intelligent operation level of the station.

The invention discloses an operation tunnel disease case library construction and rapid retrieval method and system, and the method and system achieve the efficient collection, arrangement, storage and retrieval of operation tunnel disease cases through employing an advanced data processing method and a knowledge graph construction and retrieval technology. Data mining and ontology modeling technologies are utilized to carry out deep processing and classification on collected data, an operation tunnel disease case library based on a knowledge graph is constructed, intelligent retrieval of disease knowledge is realized in combination with an NLP natural language processing technology, and powerful technical support is provided for diagnosis, processing and prevention of operation tunnel diseases.

The invention relates to the technical field of supply chain data management, and discloses a supply chain data management method, system and device and a storage medium, and the method comprises the steps: obtaining a structured parameter set of an enterprise node and all supply chain data of the enterprise node; constructing a system supply chain model, and performing data processing operation on the system supply chain model to obtain a directed graph model of the system supply chain model; performing data storage configuration operation on the enterprise node to obtain storage data of the enterprise node; clustering analysis operation is carried out on the enterprise nodes, and node supply chain models including the enterprise nodes are established in a classified mode; constructing an information propagation path diagram of the supply chain; performing data analysis and mining operation on the supply chain real-time data to obtain useful information corresponding to enterprise nodes; and performing data sharing operation to complete data updating and synchronization of the corresponding enterprise node. According to the method, enterprise supply chain data management can be realized, and the collaboration efficiency of a supply chain system is improved.

The invention relates to the technical field of gas business, and discloses a multi-business collaborative gas business system, which comprises a data acquisition and processing module, a business module integration and collaboration module, an optimization scheduling module and a real-time monitoring and feedback module, the data acquisition and processing module acquires operation data of gas equipment by using Internet of Things equipment, and performs primary processing on the acquired data through a data processing algorithm; the business module integration and collaboration module realizes data sharing and business collaboration of each business module through a collaboration algorithm; the optimal scheduling module is used for maintaining the gas equipment through an optimal scheduling algorithm according to the state and the cooperation result of each business module; the real-time monitoring and feedback module ensures efficient operation and stability of the system through a real-time monitoring and feedback mechanism, and based on a complex collaborative algorithm and multi-service integration, the gas service system can effectively realize data sharing and optimized collaboration among all service modules, and improve operation efficiency and service quality.

The utility model relates to the technical field of drainage systems, in particular to a drainage system for a coal processing plant. Comprising a wastewater treatment unit, and further comprises a final treatment water outlet pool, a sampling detection unit, a diversion execution mechanism and a controller, the sampling detection unit comprises a sampling module and a water quality detection unit, and the final treatment pool is communicated with the wastewater treatment unit and used for storing treated coal processing wastewater; the sampling module is used for collecting a coal processing wastewater sample from a final treatment water outlet pool, the water quality detection unit is used for detecting water quality parameters in the coal processing wastewater sample, the shunting execution mechanism comprises a drainage electromagnetic valve and a reflux pump, a channel where the drainage electromagnetic valve is located is communicated with a drainage port, and a channel where the reflux pump is located is communicated with the wastewater treatment unit. The output end of the water quality detection unit is electrically connected with the input end of the controller, and the output end of the controller is electrically connected with the input ends of the drainage electromagnetic valve and the reflux pump.

The present invention discloses a dynamic simulation analysis method for the whole life cycle of high arch dam construction based on BIM visualization technology, which mainly includes: 1) establishing a BIM system with unified construction information and simulation information of high arch dam; 2) updating parameters in the simulation system according to the completed construction information, updating the construction simulation progress, generating a progress plan, optimizing the construction plan, and generating a visualization model of the re-predicted construction plan in the BIM system; 3) construction progress control: during the construction of phased projects, the BIM system is used to monitor the construction parameters in real time and compare them with the scheduled construction period; 4) after the phased project is completed, the BIM system is used to quickly generate a three-dimensional image of the results and update the predicted value. The present invention can effectively control the construction progress, supervise the construction quality, and ensure the construction efficiency.

The application provides an object data processing method and device and a storage medium, relates to the technical field of Internet, can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and auxiliary driving, is applied to an object data processing system including a first data processing end and a second data processing end, and the method comprises the following steps: the first data processing end receives an object data update request, the object data update request carries a member object identifier and member update data of a target member object, the first data processing end is constructed based on a script language; the first data processing end calls a target attribute mapping object in the second data processing end based on the member object identifier of the target member object, the second data processing end is constructed based on an object-oriented programming language; and the second data processing end performs data update on the target attribute mapping object according to the member update data. The application can reduce the update resource occupation and cost, and improve data synchronization.

The utility model belongs to the technical field of circuit design, and particularly relates to a cross-platform computer online device which comprises a shell, a first interface combination, a second interface combination, a third interface combination and a network cable interface are arranged on the shell, and a control circuit is arranged in the shell. The control circuit comprises a switch module, a first Ethernet transceiver module, a second Ethernet transceiver module, a first isolation chip, a second isolation chip and a switching module; first, second and third input and output ends of the switch module are respectively connected with the first interface combination, the second interface combination and the network cable interface; the first interface combination, the first Ethernet transceiver module, the first isolation chip, the second isolation chip, the second Ethernet transceiver module and the second interface combination are connected in sequence; the input interface of the switching module is connected with the third interface, and the first output interface and the second output interface are respectively connected with the first interface combination and the second interface combination. The device is simple in structure and convenient to use.

The utility model provides three operating system detection data processing equipment, including the casing cover and the power module, network switch module, three main control system modules, three hard disk extension modules and three communication extension modules that are all arranged in casing cover, the casing cover has the backboard for power distribution and data interaction between each module, and the power module, network switch module, each main control system module, each hard disk extension module and each communication extension module all take this backboard as the basic connection carrier, the power module is connected network switch module, each main control system module, each hard disk extension module and each communication extension module through the backplate, network switch module is connected with each main control system module through the backplate, and each main control system module is connected with a hard disk extension module and a communication extension module respectively through the backplate, and the multi -source data parallel processing is realized through the construction three operating system framework, and the space burden and power consumption burden of the application scene such as railway detection vehicle are reduced.

This invention discloses a communication system and method for cross-domain data interaction based on the OCPP protocol stack. The system includes an OCPP cloud server and at least one pre-configured electric vehicle charging device for managing electric vehicle charging piles. The OCPP cloud server has functional modules running on the existing OCPP protocol stack and communicates with the electric vehicle charging device via data transmission commands. The communication system also includes at least one independent gateway, or the electric vehicle charging device integrates a gateway. The gateway is configured to: interpret standard data transmission commands from the OCPP cloud server and map their content to the local IoT network environment; simultaneously, it can also receive information and control commands from second-domain devices (not electric vehicle charging devices) and upload them to the OCPP cloud server via the same OCPP communication mechanism. Thus, by utilizing existing Electric Vehicle Charging Protocol (OCPP) cloud server resources, management and control of cross-domain IoT devices can be achieved.

This invention discloses an integrated liquid diet supply and digestion monitoring system for gastrointestinal care. The system includes a core control module, a liquid diet supply module, a digestive status monitoring module, a multi-scenario adaptation module, a multi-device collaboration module, and a data management module. By constructing a three-tiered closed-loop system of "early warning-intervention-emergency care" to prevent aspiration, it achieves non-invasive automatic monitoring of gastric residual volume, personalized customization and infusion linkage of liquid diet formulas, linkage between intermittent infusion and oral care, and full-process traceability analysis of abnormal events. It is portable and can interconnect with multiple devices such as smart beds, monitors, and hospital HIS / LIS systems to form a smart medical ecosystem. This invention achieves the integration and intelligentization of liquid diet supply, digestion monitoring, and gastrointestinal care, covering four major scenarios: hospitals, rehabilitation centers, nursing homes, and homes. It significantly improves diagnostic and treatment efficiency and patient comfort, meeting both clinical needs and quality control research requirements.

The invention relates to the technical field of live pig digital intelligence, in particular to a live pig global digital intelligent breeding system which comprises a production chain input subsystem used for recording and managing corresponding live pig breeding data of all regions. Sorting the breeding data based on the relevance between the dominant shape in the dominant shape population data and the pig breeding data to obtain comparison breeding data representing the dominant shape; a detailed supplement instruction is sent to the production chain entry subsystem according to the abundance degree of the comparison breeding data, and the accuracy of the comparison breeding data is verified according to the breeding data difference degree of the production chain entry subsystem of the current region and the production chain entry subsystems of other regions; and the dominant shape is verified by the genome detection subsystem according to the expression level of the live pig genome. The transmission of breeding data is guaranteed, the accuracy of the breeding data is improved, and the breeding screening efficiency and the breeding pig quality are improved.

The invention discloses a method for a GPU (Graphic Processing Unit) to share a first-level cache memory through an on-chip internet, which comprises the following steps: a cache line of a Pseudo-Cache stores an SM index for recently accessing the cache line, a memory access request for reading missing from an L1cache is sent to the Pseudo-Cache at a target DRAM (Dynamic Random Access Memory) channel side through an NoC (Not On Chip), and if a hit occurs, the first-level cache memory is accessed to the first-level cache memory through the NoC; if yes, acquiring the SM index which accesses the cache line recently from the hit cache line; the memory access request is forwarded to the SM through the NoC according to the SM index, and if the memory access request can acquire data from the L1cache of the SM, the memory access request is returned to the Pseudo-Cache through the NoC; and sending the cache line to the source SM of the access request through the NoC, and updating the SM index of the cache line in the Pseudo-Cache into the index of the source SM. And if the memory access request fails to acquire data from the L1cache of the SM, the memory access request is returned to the Pseudo-Cache through the NoC, and then the memory access request is sent to the L2cache. And when the memory access request is returned from the L2cache, storing a label of the memory access request and the source SM index into the Pseudo-Cache according to a replacement strategy.

This invention discloses a data-driven method for reconstructing the flow field in a water-fish coupled scenario, relating to the intersection of fluid mechanics and artificial intelligence. The method includes the following steps: using a CFD model to simulate the water-fish coupled flow field under various scenarios, constructing a water-fish coupled flow field dataset; based on the water-fish coupled flow field dataset, constructing dynamic meshes for the fish body and background using a convolutional neural network prediction method via a Lagrangian module; constructing convolutional neural network models for both the fish body and background dynamic meshes; and constructing a rapid flow field reconstruction model based on the convolutional neural network model and the Eulerian-Lagrangian method to accurately predict the water-fish coupled flow field. This invention solves the problems of high cost, low efficiency, low accuracy, and unsuitability for widespread application of traditional flow field numerical simulation methods.

The present invention proposes a material distribution method and system for SPS trolleys based on digital twins, and the method includes: installing multiple sensors in the factory environment, preprocessing real-time operation data, and constructing a digital twin model of the physical factory and the SPS trolley system; constructing a scheduling model based on reinforcement learning according to the digital twin model, and optimizing the material distribution path and strategy of the SPS trolley in real time; using a graph neural network to analyze and model historical data and real-time data, and predict the material requirements of each production node; constructing a multi-agent collaborative scheduling model based on the SPS trolley to dynamically adjust the scheduling strategy according to the predicted material requirements of each production node; sharing and collaboratively optimizing data between multiple factories or production lines; constructing a blockchain network to manage material distribution data, and recording each material distribution of the SPS trolley. The present invention realizes efficient management and optimization of the material distribution process, and promotes the intelligent and digital development of the manufacturing industry.

The invention provides a data sharing method of electronic equipment and a related device. The method comprises the following steps: receiving a click operation on a virtual icon corresponding to a memory data viewing function in a main interface of first electronic equipment; the first electronic device is controlled to start a camera and scan a target entity photo to obtain target authority verification data, and the target entity photo is associated with target data content uploaded to the cloud server by the second electronic device; sending a permission verification request to a cloud server, wherein the permission verification request comprises target permission verification data and equipment information of the first electronic equipment; receiving target data content associated with the target entity photo sent by the cloud server, wherein the target data content is sent after the cloud server confirms that the first electronic equipment has the permission of looking up the target data content based on the permission verification request; and controlling the first electronic equipment to output the target data content. According to the invention, data sharing of the electronic equipment is realized on the premise of ensuring data privacy.

The invention provides a construction method of credible data service for hydroelectric power generation industry, which comprises the following steps of: constructing a credible data space, establishing a data model by collecting metadata of a multi-service system, and carrying out classification and differential encryption; a controllable data service is generated, a single-table and multi-table association interface is automatically generated based on a data model or an interface is generated through a custom SQL, and a row-column level permission is configured to control a data range; dynamic service authorization: generating a dynamic key based on role configuration calling times and a validity period, and encrypting access parameters; and service monitoring and tracing: monitoring service node resources and calling behaviors, and recording a calling message for tracing. According to the invention, through the establishment of the trusted data space, the generation of the controllable data service, the dynamic service authorization and the service monitoring traceability, the whole process of integration, governance and service sharing of the hydroelectric data is safe and controllable, and the problems of data islands, weak safety and framework rigidity are effectively solved.

The embodiment of the invention discloses a data interaction method and device, a terminal, a storage medium and a program product, and relates to the technical field of terminals. The method comprises the steps that application data of a second application client side are obtained from a second application server side through a first application server side, the first application server side is used for providing services for a first application client side, and the second application server side is used for providing services for the second application client side; the first application client and the second application client run in an operating system, and the first application server and the second application server run in a trusted virtual machine; according to the application data of the second application client, through the first application server, calculating to obtain a calculation result required by the first application client; and returning a calculation result to the first application client through the first application server. By adopting the method provided by the invention, the problem of data islands between different applications in the terminal can be solved, and the data security can be guaranteed.

The embodiment of the invention provides a logistics tracking method and product, electronic equipment and a storage medium, and belongs to the technical field of block chains. The method comprises the following steps: acquiring an uplink request of data acquisition equipment, adding the data acquisition equipment into a block chain system under the condition that the uplink request passes verification, and constructing the data acquisition equipment as a light node; constructing a logistics management system as a consensus node, and controlling the logistics management system to perform uplink processing on the logistics data sent by the data acquisition equipment; wherein the logistics management system is a consensus node; sending an uplink result generated by the logistics management system to the data acquisition equipment; and under the condition that the data acquisition equipment receives the preset number of uplink results, controlling the data acquisition equipment to exit the block chain system. According to the embodiment of the invention, the data uplink risk can be reduced.

The invention relates to a vehicle production process quality control visualization, early warning and tracking method and device, and the method comprises the following steps: carrying out the quality detection of a plurality of parts in a vehicle production process according to a quality detection standard, recording qualified data meeting the quality detection standard, recording defects not meeting the quality detection standard to obtain defect data, and storing the defect data in a database; storing the defect data and the qualified data in a database; visualizing the defect data to obtain a human-computer interaction visual picture for displaying a defect trend; monitoring the defects in the production process according to the human-computer interaction visual picture for displaying the defect trend; early warning is carried out according to the monitored defects; and creating a defect tracking record for the monitored defect and tracking the defect.

The invention discloses a local power plant network source interaction management system, which comprises a data acquisition module for acquiring basic information of a local power plant in real time; the data processing module assists the D5000EMS system in merging the acquired basic information of the local power plant into a tracking power plant and then performing homogenization management, and formulates a control strategy according to the operation situation of the power grid; the man-machine interaction module is used for displaying operation information of the management system and receiving an operation instruction of a manager; the data communication module is used for collecting basic information of a local power plant, making a control strategy and receiving an operation instruction of a manager, communicating with a local dispatching OMS system through an internet region and a D5000EMS system, and improving the regulation and control operation management level of a local power grid through homogenization management of the local power plant and a unified power plant; by comprehensively analyzing the operation condition of the local power plant, the operation situation of the power grid is accurately mastered, the power grid and equipment are dynamically analyzed, and the regulation, control and operation management level of the regional power grid is comprehensively improved.

This invention discloses a throwable explosion-proof inspection robot and its control method for highway emergency response, belonging to the field of highway emergency rescue and intelligent inspection technology. First, it integrates composite gas detection, full-domain visual monitoring, and dynamic road condition capture functions to achieve comprehensive multi-dimensional data capture, providing complete raw data support for subsequent decision-making. Then, through multi-source data fusion, risk level assessment, and dynamic path planning, it completes data correlation analysis, risk classification, and optimal route planning. Based on this, the invention integrates gas, vision, and road condition detection functions through a multi-modal explosion-proof sensing module, combined with the software-based explosion-proof control logic of the explosion-proof safety assurance module, achieving precise adaptation of explosion-proof characteristics to highway emergency scenarios. This allows the inspection function to go beyond single-parameter monitoring, comprehensively capturing the status of hazardous sources and the dynamics of the surrounding environment.