10results about How to "Realize unified access" patented technology

The invention relates to the technical field of enterprise motorcade management, in particular to a motorcade dynamic scheduling and energy consumption collaborative optimization method and system based on digital twinning, and the method comprises the steps: building a motorcade digital twinning scheduling cloud platform, and accessing a plurality of motorcade participants cooperatively executing transportation tasks; the method comprises the following steps: carrying out space-time division on a transportation task according to a collaborative scheduling authority, generating and issuing motorcade scheduling blocks, carrying out initial parameter definition on key factors such as vehicle distribution, path planning, load optimization and dynamic road condition response by each participant based on block information, and constructing a plurality of motorcade dynamic scheduling modeling spaces by combining with traversal search of a scheduling parameter library; an improved teaching and learning optimization algorithm module is introduced, a dynamic competition optimization algorithm is embedded to enhance the adaptability, and a motorcade scheduling collaborative optimization algorithm module is formed. Global optimization is carried out in multiple modeling spaces based on the algorithm, an optimal scheduling parameter set is output, and dynamic scheduling and energy consumption collaborative optimization of transportation tasks are achieved.

The application discloses an electric ship battery replacement scheduling management system, which comprises a ship end data acquisition unit, a shore end battery replacement management and control unit and a cloud end intelligent scheduling platform. The ship end data acquisition unit is installed on an electric ship matched with the system. The shore end battery replacement management and control unit is installed on a ship battery replacement station matched with the system. The ship end data acquisition unit and the shore end battery replacement management and control unit interact data with the cloud end intelligent scheduling platform through a network, and data interaction between the ship end data acquisition unit and the shore end battery replacement management and control unit is realized through the cloud end intelligent scheduling platform. The application constructs a ship-shore-cloud integrated intelligent management and control system, realizes unified access, integration and analysis of multi-source data, software-defined control architecture, facilitates system iteration and upgrading, realizes multi-unit collaborative intelligent scheduling, improves battery replacement efficiency, perfects battery full life cycle intelligent management and control, improves safety and resource utilization, improves intelligent adaptability of the battery replacement network, and adapts to multi-scene requirements.

The application relates to the technical field of ship safety, in particular to a safety guarantee and emergency response system and method applied to a ship; the system comprises an intelligent domain controller and a ship body domain controller, and the intelligent domain controller is electrically connected with the ship body domain controller; wherein: the intelligent domain controller is used for generating at least one first emergency plan of a ship device based on first ship device data associated with the intelligent domain controller and / or second ship device data associated with the ship body domain controller; and the ship body domain controller is used for controlling corresponding devices in the ship based on the at least one first emergency plan of the ship device. Through the system, an intelligent ship safety guarantee and emergency response system architecture and a working mode thereof are provided, unified access, intelligent analysis, centralized decision-making, cooperative response and reliable execution of all kinds of safety-related information of the ship are realized, and therefore the overall safety level and the emergency disposal capacity of the ship are improved.

The invention relates to the technical field of data monitoring, and particularly discloses a deep foundation pit multi-source heterogeneous data intelligent monitoring system based on end-cloud collaboration. The system comprises a collaboration center, and the collaboration center comprises a multi-source feature confirmation end, a node block classification end, a block feature verification end and an optimization logic output end. A transmission protocol is identified and monitoring frequency is locked through a multi-source feature confirmation end, monitoring nodes using the same transmission protocol are divided into the same block node through a node block classification end, and block sorting combination is optimized through a block feature verification end. An optimal combination is output through an optimization logic output end to guide monitoring time and frequency adjustment; the problems of scheduling conflicts and waiting time consumption among different protocol blocks are solved, global optimal acquisition is realized, system operation energy consumption is reduced, and smoothness and stability of collaborative acquisition of multiple protocol blocks are guaranteed.

The embodiment of the application relates to the technical field of vehicles, and discloses a controller, a communication method, a vehicle-mounted optical communication system, electronic equipment and a vehicle, which comprise a processing module, an interface management module and an optical communication module; the processing module is connected with the interface management module and the optical communication module; the interface management module is connected with a plurality of signal sources in the vehicle; the optical communication module is connected with electronic devices; the interface management module is used for receiving an electric signal sent by the signal source and sending the electric signal to the processing module; the processing module is used for determining the priority of the electric signal based on the trigger type and the occurrence scene of the electric signal, determining the transmission strategy of the electric signal based on the priority of the electric signal, and sending the electric signal to the optical communication module based on the transmission strategy; and the optical communication module is used for performing photoelectric conversion on the electric signal to obtain an optical signal and sending the optical signal to the electronic device corresponding to the electric signal, so that the wiring structure in the vehicle is simplified, and the stability of vehicle signal transmission is improved.

This invention discloses a cross-platform intelligent task processing system and method based on a cloud-local hybrid architecture, belonging to the fields of artificial intelligence and automation technology. It includes: user terminals receiving natural language instructions through a unified message gateway and sending them to a task processing hub; the hub dynamically selecting a local or cloud model for semantic understanding and task decomposition according to a strategy, generating atomic operation descriptions; distributing tasks to heterogeneous target terminals based on device capability maps; each terminal converting the atomic operation descriptions into local system calls through a cross-platform atomic operation adapter library and executing them securely, with risky operations executed in a sandbox; communication employing multiple encryption methods; the hub integrating a billing module for cost estimation, real-time billing, and budget control; and the hub feeding back execution results to the original message channel through a unified message gateway. This invention ensures data security through intelligent planning and privacy separation, decouples the core architecture from the deployment form, and supports multiple deployment forms and cross-platform collaboration.

The invention discloses a key management method and system under a heterogeneous cryptographic resource pool, and the system comprises a cryptographic resource management module which is used for providing virtual cryptographic resource management and key management services, and carrying out the physical or logic isolation of cryptographic equipment through the classification and layering of keys; meanwhile, multi-copy storage management is carried out on the corresponding service key of each cryptographic equipment cluster group in the heterogeneous cryptographic equipment resource pool through a one-master multi-slave mode of the key; the password resource service module comprises a virtual password resource mirror image supporting multiple applications and multiple tenants and password resource scheduling, and key copies corresponding to the password device groups are obtained through the password resource scheduling and are scheduled to the corresponding password device clusters; and the cryptographic equipment calculation module is used for distributing to a corresponding cryptographic equipment cluster and carrying out cryptographic operation by adopting a secret key copy of the cluster. Unified management and control of password resources of different manufacturers are realized, capacity expansion of password computing resources is guaranteed, and the stability and fault-tolerant capability of a password service architecture are improved.

The invention relates to the technical field of power system analysis and data processing, discloses a combined extraction method of a power grid topological structure and electrical parameters, and aims to solve the problems of fragmentation and inconsistency of topology and parameter information caused by data source splitting in traditional power grid design data processing. The method comprises the following steps: constructing a multi-modal analysis framework, and synchronously processing a wiring diagram, an equipment inventory, a specification and a nameplate image; extracting a power grid topological structure based on a graph neural network, identifying equipment symbols and reasoning complex connection logic; extracting electrical parameters such as voltage class and rated capacity from the text by using a named entity recognition and relation extraction technology; performing joint alignment and consistency verification on topology and parameters through cross-modal matching and power grid design specification constraint; and finally, a structured power grid digital model conforming to the IEC 61970 CIM standard is output, synchronous and high-precision combined extraction of the topological connection relation and the electrical attributes is realized, and high-quality data support is provided for power grid intelligent review and risk early warning.

The application discloses a kind of coal mine multi-source data gathering management method and platform, it is related to coal mine data processing technical field, platform uses five progressive type architecture of sensing layer-edge layer-transmission layer-platform layer-application layer, method covers multi-source heterogeneous data acquisition and edge integrated processing, double-ring redundant low-delay transmission, data depth management, Kafka priority subscription distribution, whole-service collaborative control feedback whole process, by multi-protocol adaptation, 3 sigma criterion+linear interpolation data cleaning, hierarchical fusion intelligent labeling, hierarchical directional distribution and closed-loop feedback etc. Technology, solve coal mine multi-protocol access adaptation, data efficient flow, high-quality management and whole-service collaborative control industry problem.The application greatly improves data acquisition, flow, management efficiency and reliability, realizes coal mine whole-service data intercommunication and collaborative control, reduces the incidence of safety accidents, improves production and operation efficiency.

This invention relates to the field of multi-source data acquisition technology, and discloses a multi-source data acquisition device and system based on an industrial internet platform, including a main control processing module, a multi-source interface acquisition module, a dynamic switching buffer module, an anomaly isolation module, a time alignment compensation module, and a self-verification transmission module. In this invention, through the collaborative work of the multi-source interface acquisition module and the main control processing module, unified access and processing of different types of data sources in the industrial field are realized. The multi-source interface acquisition module can automatically identify the communication protocol type of the access data source, and calculate the adaptation priority value through the protocol adaptation unit, and perform protocol conversion in sequence according to the priority value, so as to ensure that various heterogeneous protocol data are efficiently and reliably accessed by the main control processing module. At the same time, the main control processing module can receive and process data from each channel in real time, ensuring that the data has completed preliminary protocol unification before entering the dynamic switching buffer module.