96results about How to "Realize data sharing" patented technology

The invention provides a comprehensive management and control method and system based on digital twin and multi-source heterogeneous data processing, and the method comprises the following steps: scanning a site, obtaining the point cloud data of a surrounding environment, reconstructing the reverse modeling of the geometric shape and structure of a building according to the point cloud data, and calibrating the model obtained through the reverse modeling with the site; carrying out optimization processing on the model; a multi-source heterogeneous data fusion technology is adopted to carry out process collection and classification on heterogeneous data of various specialties of rail transit, and standardized processing of the data is realized. According to the comprehensive management and control method and system based on digital twinborn and multi-source heterogeneous data processing, accurate mapping of a digital twinborn space to a real station environment is realized, a three-dimensional model can be associated with multi-dimensional data attributes, core functions such as virtual inspection, risk management and control and scheduling decision making are realized in an auxiliary manner, and the method and the system are suitable for popularization and application. And the intelligent operation level of the station is improved.

The invention provides an SPS trolley material distribution method and system based on digital twinning, and the method comprises the steps: installing a plurality of sensors in a factory environment, carrying out the preprocessing of real-time operation data, and constructing a digital twinning model of a physical factory and an SPS trolley system; constructing a scheduling model based on reinforcement learning according to the digital twinborn model, and optimizing the material delivery path and strategy of the SPS trolley in real time; analyzing and modeling historical data and real-time data by using a graph neural network, and predicting material requirements of each production node; according to the predicted material demand of each production node, constructing a multi-agent collaborative scheduling model dynamic adjustment scheduling strategy based on the SPS trolley; sharing and collaborative optimization are carried out on data among a plurality of factories or production lines; and constructing a block chain network to manage the material distribution data, and recording the material distribution of each SPS trolley. According to the invention, efficient management and optimization of the material distribution process are realized, and intelligent and digital development of the manufacturing industry is promoted.

The invention relates to a digital twinborn factory data communication and privacy protection method, which comprises the following steps: establishing an edge-cloud digital twinborn model which comprises an edge layer, a digital twinborn layer and a cloud layer; the edge layer comprises an edge server and IIOT equipment of a factory; the digital twin layer comprises a plurality of digital twin servers; the cloud layer comprises a cloud server; dividing the neural network model for classifying tasks into a shallow model and a deep model; and the cloud server receives real-time model update provided by the digital twin server, grouping and training the IIOT equipment based on the digital twin model updated in real time, weighting and aggregating local shallow model parameters encrypted by each IIOT equipment in a group by adopting a secure multi-party computing method, and performing parallel computing by the IIOT equipment by using the aggregated part. According to the method, data sharing among multiple pieces of workshop equipment can be realized while data privacy is protected, the production process is optimized, and the product quality is improved.

The invention discloses an unmanned aerial vehicle cluster security collaboration method, system and device, a medium and a product. The unmanned aerial vehicle cluster comprises a plurality of pre-divided clusters, each cluster comprises a pre-selected first cluster head node and a plurality of in-cluster child nodes, and the credibility of the first cluster head node meets a preset condition and is larger than that of the in-cluster child nodes. According to the method, secure communication and data sharing among unmanned aerial vehicle cluster nodes are realized through a consensus mechanism, and the security and reliability of an unmanned aerial vehicle cluster are improved; an unmanned aerial vehicle is divided into a plurality of clusters under an unmanned aerial vehicle cluster hierarchical network, the plurality of clusters work cooperatively, and an unmanned aerial vehicle cluster consensus mechanism is divided into an intra-cluster consensus mechanism and a lightweight inter-cluster consensus mechanism by means of hierarchical network characteristics of an unmanned aerial vehicle cluster. The cluster head communication pressure is relieved, communication congestion between cluster head nodes is relieved, the communication complexity is reduced, and the communication efficiency of the unmanned aerial vehicle cluster is improved.

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 cable line system dynamics safety assessment method considering coupling influence. The method comprises the following steps: selecting equipment for safety assessment in a cable line system, and selecting monitoring variables from electrical signals, equipment states and operating environment dimensions; based on the selected monitoring variables, constructing an interaction matrix reflecting a coupling influence relationship between the monitoring variables, and based on the interaction matrix, calculating an equipment fault function under each dimension; based on the equipment fault function under each dimension, constructing a comprehensive fault probability function of the equipment; constructing a comprehensive fault probability function of the cable line system based on a pre-constructed topological relation between the equipment and the comprehensive fault probability function of the equipment; and building a system dynamics flow graph based on the comprehensive fault probability function, and realizing safety evaluation of the cable line system. Compared with the prior art, the defect that indexes of a fuzzy comprehensive evaluation method are mutually independent is overcome.

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 discloses a forest fire remote sensing intelligent monitoring integrated system. The system comprises a multi-dimensional sensing subsystem which is responsible for collecting data related to a fire; the unified data fusion platform module is responsible for performing data cleaning, verification, integration and analysis on the data related to the fire to generate fire monitoring information; the intelligent identification and early warning module is responsible for carrying out intelligent analysis on the fire monitoring information and identifying a potential fire behavior; the fire danger grade evaluation module is responsible for evaluating the fire danger grade in real time; the real-time data quality control module is responsible for carrying out real-time monitoring and quality control on data input into the system; the user interaction module is used for providing a user interaction interface; according to the invention, a richer and more comprehensive flame and smoke sample library is established to cover fire behavior data under different time and different environment conditions, and the sample library is periodically updated and expanded to adapt to continuously changing monitoring requirements.

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 relates to the technical field of construction project management, discloses a construction enterprise digital project management platform, and aims to solve the problems of data islands, low information transmission efficiency, insufficient decision support and the like in a traditional project management mode. The platform is composed of a user interface layer, a business logic layer, an infrastructure layer and a data access layer, has a comprehensive project management function, and comprises a project management unit, a material purchasing unit, a construction management unit, a quality control unit and the like. The core function of the system is that the fusion analysis module can perform standardization processing on data of each business unit, realize centralized storage and management of the data, form a unified data view, perform deep data mining and analysis by using a machine learning algorithm, construct a prediction model, a classification model and a clustering model, and perform data classification and clustering. And comprehensive data support is provided for enterprise decision making. The platform effectively improves the project management efficiency and quality of construction enterprises, and promotes the digital transformation of the construction enterprises.

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 field of gas detection, and discloses an electronic nose device with double gas inlet channels and a gas detection method. A filter, a double-cavity air inlet shell with a front-narrow rear-wide structure and a sensor annular placing hole, an air flow guide structure, a sensor array and an air exhaust shell are manufactured in a 3D printing mode; the sensor array is fixedly connected with the gas flow guide structure; the outer wall of the gas guide device is in contact with the inner wall of the gas inlet shell and is fixed in a magnetic attraction manner; the air exhaust shell is connected with an air pump through a rubber tube; the gas inlet shell and the gas exhaust shell are spliced together in a stepped mode, the purpose of detaching and replacing the sensors can be achieved, and through unique sensor combination and an advanced data processing algorithm, the components and concentration of target gas can be rapidly recognized and quantitatively analyzed. According to the invention, the contact time of the gas and the sensor is prolonged while rapid suction of the gas is guaranteed, and efficient and accurate detection of various different types of gas is realized.

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 utility model discloses a monitoring and early warning system based on an equipment state, which belongs to the field of equipment state monitoring and comprises a main chip, a signal acquisition chip connected with the main chip, a rotating speed acquisition circuit, a 4-20mA module, a relay module, a TCP (Transmission Control Protocol) communication module, an RS485 communication module and a signal acquisition circuit connected with the signal acquisition chip. According to the utility model, the TCP communication module is adopted to wirelessly transmit data to the upper computer system, so that data acquired by different monitoring systems can be managed in a centralized manner, state information of all monitoring equipment is displayed on one computer, data sharing is realized, internal relation of data is mined, the accuracy of fault diagnosis is improved, and the working efficiency is improved. According to the technical scheme of the utility model, the monitoring system can monitor the running state of the equipment continuously, diagnoses the abnormal state in time, is provided with various channel ports, can be provided with various different sensors for monitoring according to the field monitoring condition, and has strong expandability.

The invention discloses an integrated management method and device for an energy internet marketing service system, and relates to the technical field of marketing management. According to the main technical scheme, the method comprises the steps of obtaining a plurality of business requirements related to an energy marketing service; respectively extracting data to be integrated from the system data of each business system according to business requirements, wherein each business system is a different data source of the energy internet marketing service system; mapping the data fields corresponding to the to-be-integrated data into the data fusion model to obtain client fusion data; and a prediction model corresponding to each business demand is constructed based on the customer fusion data, and the plurality of prediction models are integrated and stored in an energy internet marketing service system, so that business decision making can be carried out on the energy marketing service according to a prediction result. The method mainly aims at promoting intelligence of energy internet marketing service and improving the business decision-making capability corresponding to the marketing service. The method is used for integrated management of the energy internet marketing service system.

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 invention discloses a photovoltaic glass on-line stripe full-inspection device and a data acquisition and statistics system, and relates to the technical field of glass production, and the photovoltaic glass on-line stripe full-inspection device comprises a full-inspection device, a data acquisition module, a data processing module and a data statistics module; the full-inspection device is used for performing rotary display on the photovoltaic glass; the data acquisition module is used for acquiring glass images; the data processing module is used for analyzing and processing the glass images and classifying the glass images based on a processing result; the data statistics module draws charts based on classification results and stores the charts in a database; according to the invention, on-line full-coverage stripe inspection of the substrate glass can be realized, and a rapid and full-coverage stripe defect acquisition, statistics and query system is realized, so that the problems of missing inspection and loss and reduction of the production efficiency of the glass due to the adoption of a sampling inspection mode in the process of detecting the glass in the existing glass detection technology are solved.

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 invention discloses a rapid medicine identification method based on a cloud platform, and belongs to the technical field of medical informatization, and the method comprises the following steps: medicine data collection, medicine data analysis and processing, cloud platform construction, application program design, system test and optimization, and online release. Data are uploaded to the cloud end through the cloud platform and processed, doctors, patients and pharmaceutical enterprises can more conveniently and quickly obtain related information of drugs, including drug names, specifications, indications, usage and dosage, drug inventory and the like, drug identification codes can be quickly identified, data sharing can be realized on different devices, and meanwhile, the system is more convenient to use. In addition, the system can also monitor and trace the medicines, timely find problems and take measures, so that the safety and effectiveness of the medicines are improved, and finally, based on a quick medicine identification method, a pharmaceutical enterprise can also realize digital management and control, improve the production efficiency and reduce the cost, so that higher commercial value is obtained.

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.

The invention provides a safety management method and system based on digital safety three codes in the technical field of engineering safety management, and the method comprises the steps: S1, a safety management server obtains safety basic data, and creates an online form sending safety execution server based on the safety basic data; s2, the security execution server generates three security codes including a personnel two-dimensional code, an equipment two-dimensional code and a work point two-dimensional code based on the online form, and the three security codes are sent to the intelligent terminal to be displayed; s3, the mobile terminal accesses the online form through the security three-code to query the security basic data or input the security monitoring data, and uploads the input security monitoring data to the security execution server; and S4, the security execution server stores the security monitoring data to a database in real time, and performs fusion analysis on the security monitoring data through a big data technology to generate a security analysis report to execute security management. The method has the advantage that the reliability and timeliness of engineering safety management are greatly improved.