15results about How to "Realize data sharing" patented technology

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 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 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 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.

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 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 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.

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.

This invention relates to the field of abdominal drainage technology, and more particularly to an abdominal drainage system based on real-time hemoglobin monitoring and intelligent early warning. The technical solution includes an abdominal drainage tube, an optical sensing module, a microprocessor module, and a wireless communication module. The microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and to trigger early warnings based on preset multi-level alarm conditions. This invention, by real-time and accurate monitoring of hemoglobin concentration in abdominal drainage fluid, combined with intelligent early warning and personalized response mechanisms, overcomes the limitations of traditional manual observation, significantly improving the timeliness and accuracy of bleeding risk identification. Its closed design reduces the risk of infection, while its system integration capabilities optimize medical and nursing workflows, enabling data sharing and remote collaboration. This not only shortens the intervention time window and improves patient prognosis but also frees up nursing resources and improves medical quality, providing a comprehensive and efficient solution for postoperative monitoring.

The application discloses a data sharing method and device, and relates to the technical field of big data operation. A specific implementation of the method comprises the following steps: receiving a data sharing instruction for a target database and a target cluster; determining a target external table corresponding to the data sharing instruction, wherein the target external table is stored on the target cluster; acquiring a data sharing protocol of the target database and the target cluster; and based on the data sharing protocol, completing relevant processing of the data sharing instruction by using the target external table. The implementation can simply and efficiently realize data sharing between the target database and the target cluster.

The invention relates to a business collaboration model system based on cross-application linkage, and belongs to the field of enterprise informatization and intelligent office. The system comprises a user interaction layer, an application interface layer, a linkage engine layer, a data service layer and a system support and security layer. According to the method, through a unified event triggering mechanism and a data mapping model, bidirectional data circulation can be realized among different applications; according to the invention, through a cross-application automatic linkage mechanism, automatic information transmission and service connection among multiple systems are realized. A user does not need to manually copy and paste or repeatedly input information, and the system automatically identifies context semantics and triggers corresponding business processes. According to the invention, an event-driven business collaboration model is constructed, so that communication, planning, execution and feedback form a complete closed loop. Based on the modular architecture design and the configurable rule engine, each service application can flexibly define a trigger condition and a linkage rule, so that a novel office module can be conveniently expanded subsequently.

The invention discloses an Internet of Vehicles data new energy automatic driving vehicle traffic behavior supervision and service system, which comprises a data acquisition layer, a network transmission layer, a data processing and analysis layer and an application service layer, and adopts an end-edge-cloud collaborative architecture. The data acquisition layer comprehensively acquires multi-source data of vehicles, roads, traffic and the like; the network transmission layer ensures safe transmission of data through various communication technologies and encryption means; the data processing and analysis layer realizes data intelligent analysis by means of edge computing and a cloud platform in combination with an AI algorithm model; and the application service layer provides differentiated services for governments, enterprises and users. According to the method, data islands are broken, the transformation from post-event tracing to beforehand early warning and in-event intervention of a supervision mode is realized, the driving behavior analysis scientificity, the safety early warning perspectiveness and the carbon emission management accuracy are improved, the government is helped to improve the treatment efficiency, the enterprise is helped to reduce the cost and improve the efficiency, the user is helped to improve the travel experience, and the method has remarkable technical, social and economic values.