315 results about "MQTT" patented technology

The invention belongs to the field of civil aviation, provides a civil aircraft field service operation scheduling control system, and aims to solve the problem of low cooperative efficiency of multiple links of ground service scheduling. File management is based on an Ali cloud OSS development interface, supports multi-format files, and realizes functions of permission access, encryption and the like; communication adopts an MQ / MQTT architecture to construct an IM system, and supports multi-type message transmission and http network communication; data processing packages a multi-language database interface, and internal and external network secure intercommunication is realized through a gatekeeper agent. Flight functions cover and guarantee node management and control, dynamic updating, cross-department communication, real-time flight data butt joint, task distribution of unified operation according to work types, and support of multi-terminal such as a web terminal and a handheld terminal and nailing access. Ground service multi-scene requirements can be met, and the operation efficiency and the management level are improved.

The invention discloses an MQTT message transmission optimization method and system. The method comprises the steps of analyzing a theme, extracting a device type, a data feature and a geographic position triple, calculating a hash value, and mapping a device to a specified Broker fragment cluster node to generate a fragment mapping table; processing the equipment data in the edge domain in the fragment mapping table through an edge calculation layer, removing invalid data according to a preset rule, merging the equipment data in the same fragment node, and embedding a fragment node ID for an aggregation message generated after merging; identifying a fragment node ID and routing to a target fragment node, positioning a corresponding shared memory pool, and writing the message into the shared memory pool; and responding to a direct access request of the client, so that the client directly accesses the data from the shared memory pool through the user mode network stack. According to the method, the problem of uneven load is effectively solved, multiple times of state switching in the data transmission process is avoided, and the MQTT message transmission efficiency is improved while the transmission cost is reduced.

The invention discloses a multi-protocol hardware communication adaptation module based on an energy storage system and a configuration method, the module comprises a protocol template library, an intelligent mapping engine and a model generator, and the method comprises the following steps: storing structured protocol point location information through the protocol template library; an intelligent mapping engine is used for shielding the isomerism of Modbus, MQTT, IEC104 and other underlying protocols, and a unified data interface is provided; intelligent matching among different protocol terms is realized by adopting a natural language processing technology through a semantic level mapping unit; and finally, generating a target data model by a model generator through one key. The method effectively solves the problems that when the energy storage system integrates multi-manufacturer equipment, protocol configuration depends on manpower, efficiency is low, errors are prone to occurring, and expansibility is poor.

The invention discloses an inference task collaborative scheduling system and method oriented to multiple terminals of a swan gap. The inference task collaborative scheduling system comprises a communication module Broker, a system monitoring module SystemProfilter, a scheduling module Scheduler and an inference task execution module Worker. According to the method, a structured resource state vector is constructed based on an NDK native interface so as to comprehensively represent the real-time availability of equipment; a lightweight MQTT protocol is adopted to support low-overhead and high-robustness cross-terminal state synchronization and task distribution; a comprehensive load scoring mechanism fusing task priorities and dynamic weights is designed, a multi-objective optimization problem based on a non-dominated sorting genetic algorithm (NSGA-II) is introduced, task delay is minimized in a combined mode, terminal loads are balanced, and energy consumption is controlled; meanwhile, the execution time delay is efficiently estimated in combination with a proxy model based on linear regression, and the scheduling overhead caused by real reasoning and calling is avoided; the whole architecture is deeply adaptive to a swan-mong system, and is compatible with an Android platform through modular packaging and unified communication interface design, and efficient, self-adaptive and cross-platform collaborative scheduling oriented to a swan-mong multi-terminal reasoning task is realized for the first time.

The invention relates to the technical field of big data, in particular to a warehouse management analysis method and system based on big data and a medium, comprising heterogeneous data real-time acquisition, stream batch fusion processing, AI intelligent decision making, digital twinborn verification and hierarchical storage scheduling. Compared with the prior art in which a distributed data acquisition and delay batch processing scheme is adopted, which leads to serious data islands and lagging of decision basis, the scheme adopts an edge protocol conversion gateway and flow batch fusion processing architecture, uniformly accesses real-time data flow of industrial equipment through MQTT, captures service system changes in combination with DebeziumCDC, realizes millisecond data integration through Kafka, and realizes real-time data flow access through MQTT. Dynamic feature calculation and deep model training are synchronously completed by means of a Flink-Spark hybrid engine; the method has the advantages of total-factor real-time mapping and cross-domain data collaboration, gets through information barriers of an equipment layer, a business layer and an environment layer, and provides millisecond-level fresh global data views for storage decisions.

This invention introduces a sophisticated system for deploying projects on cloud platforms, combining Unikernels, Cyber Security Mesh Architecture (CSMA), MQTT protocol with SHA256 encryption, an Unikernel Orchestration Rules Engine (UORE), generative AI, and an innovative caching mechanism. Unikernels offer a secure, isolated environment for applications, reducing overhead and boosting performance. CSMA provides extensive security through analytics, identity management, and policy enforcement. The MQTT protocol, secured with SHA256, ensures the integrity and confidentiality of communications. UORE automates deployment, integrating a TLS terminator and data management for streamlined operation. Generative AI proactively resolves deployment challenges, particularly for complex applications, while the caching mechanism enhances performance and efficiency by minimizing latency. This integrated approach automates and secures the deployment process, enabling scalable, efficient, and real-time project creation and deployment in the cloud, thereby addressing the key challenges of cloud application hosting.

The invention provides an edge gateway computing power sharing method based on an MQTT protocol. An edge terminal sends a computing power request to an edge gateway through the MQTT protocol, wherein the computing power request comprises a computing task type identifier and a priority identifier; after receiving the computing power request, the edge gateway dynamically schedules heterogeneous computing resources of a built-in neural network processing unit (NPU) and a built-in central processing unit (CPU) according to a computing task type identifier and a priority identifier; and the edge gateway executes a corresponding calculation task by using the scheduled calculation resource, feeds back a processing result to the edge terminal initiating the request through an MQTT protocol, and synchronizes own calculation power state information.

The embodiment of the invention provides an Internet of Things control system and method, electronic equipment, a storage medium and a program product, and relates to the technical field of industrial Internet of Things. The system comprises a connection management module used for establishing and maintaining connections between a plurality of Internet of Things devices and a plurality of MQTT servers corresponding to the Internet of Things devices; the dynamic equipment mapping module is used for mapping the data of the Internet of Things equipment to the MQTT server through the configuration file; and the message queue and network disconnection continuous transmission module is used for putting the message into the tail of the message queue to continuously transmit the message if the MQTT client instance corresponding to the Internet of Things equipment is detected to be in a network disconnection state when the message is published to the MQTT server. According to the scheme, dynamic expansion of heterogeneous equipment in the industrial Internet of Things, parallel butt joint of multiple cloud platforms, network disconnection continuous transmission and two-way communication capability are realized.

The invention provides an event processing method, system and equipment based on Internet of Things equipment and a medium, and belongs to the technical field of Internet of Things. The method comprises the following steps: receiving an Internet of Things equipment message through an MQTT Broker, identifying an event type according to a theme, and distributing the event type to a corresponding thread pool; concurrently analyzing the JSON load in each thread pool, and converting the JSON load into a structured data object; caching the data in a batch processing queue in a classified manner, and triggering batch processing based on a queue state; extracting batch data, generating an optimized SQL statement, executing writing, and processing exceptions; screening data based on a routing rule and asynchronously forwarding the data to message middleware; meanwhile, processing parameters are dynamically adjusted according to the equipment state data and the system load. According to the invention, efficient processing of Internet of Things equipment events is realized, and the system throughput, the resource utilization rate and the data processing real-time performance are improved.

The invention discloses an intelligent agricultural big data system, and belongs to the field of agricultural big data, and the system comprises an environment monitoring module, a sensing layer deploys a sensor to collect original data, and a transmission layer is provided with an edge gateway which is connected with the sensor and carries out the transmission of the original data; the equipment layer is used for regulating and controlling irrigation, ventilation and light supplement schemes, and the control layer is used for optimizing MQTT message middleware to control the agricultural Internet of Things system; according to the data management module, a data collection layer obtains original data, a data processing layer processes the original data according to a three-layer data cleaning mechanism, and a data storage layer stores the processed data; according to the system management module, the data application layer constructs an interface covering Web, a mobile terminal and AR equipment, the data display layer generates a soil moisture thermodynamic diagram, a crop growth distribution diagram and an equipment operation state diagram, and intelligent management of agricultural production is ensured. The advanced Internet of Things technology is adopted, and the accuracy and the real-time performance of data acquisition are improved.

The invention relates to a network jitter buffering method under an MQTT protocol, a software program product and communication equipment, relates to the technical field of Internet of Things, and solves the problem of high delay of realization of the existing MQTT protocol in a network jitter scene. The method comprises the following steps: receiving a data packet based on a message queue telemetry transmission protocol; before the data packet is packaged, packed and compressed through a message queue telemetry transmission protocol, the data packet is temporarily stored to a jitter buffer layer; determining a dynamic time window of the jitter buffer layer according to the delay of the data packet; and in response to expiration of the dynamic time window, sorting the data packets in the jitter buffer layer, and packaging, packing and compressing the sorted data packets through a message queue telemetry transmission protocol. According to the invention, retransmission times during network fluctuation can be reduced, and high delay caused by network fluctuation can be reduced.

The invention relates to a cashier system data synchronization method and system, an intelligent terminal and a storage medium, and relates to the field of intelligent terminal collaboration.The method comprises the steps that database changes are monitored in real time, incremental data are extracted, and the incremental data comprise at least one of tenant IDs, store IDs or device IDs; through an MQTT protocol, according to a hierarchical structure of a tenant ID, a store ID and a device ID, pushing the tenant ID, the store ID and the device ID to a target device in a broadcast or unicast mode; after the target equipment receives the incremental data, judging whether the target equipment has an operation behavior or not; if yes, generating an updating task according to the incremental data; adding the updating task into the queue to be processed through the target equipment; in response to the end of the operation behavior, updating tasks in the to-be-processed queue are executed in sequence, and the updating tasks are used for writing incremental data into a local database; and if not, writing the incremental data into the local database through the target equipment. The method has the effects of improving the operation efficiency of the store and guaranteeing the real-time consistency of the data.

The invention belongs to the technical field of smart buildings, and relates to a green energy-saving building energy consumption real-time monitoring and intelligent optimization system and method based on the Internet of Things, and the system comprises a sensing layer which comprises an environment sensor group which collects the temperature, humidity, illumination intensity and CO2 concentration; the non-intrusive electric energy monitoring module measures equipment current through a Rogowski coil, and the precision is + / -0.5%; the equipment state acquisition terminal is used for acquiring the frequency of an HVAC compressor and the state of a lighting switch; the network layer comprises a multi-protocol edge gateway which supports the conversion from ZigBee / LoRa / Modbus to an MQTT protocol; the block chain evidence storage module is used for generating an SHA-256 hash value for the energy consumption data and uploading the SHA-256 hash value to the chain; the platform layer comprises a digital twin engine which is used for generating an energy consumption three-dimensional thermodynamic diagram based on a BIM model; the optimization control core is composed of an LSTM load prediction unit and an NSGA-II multi-objective optimization unit. The energy efficiency leap of 12-18% comprehensive energy saving (far exceeding the average level of 5-8% in the industry) is realized through a technical chain of'accurate perception-intelligent decision-making-closed-loop control '.

The invention discloses a cloud edge collaborative energy storage optimization method and device based on KubeEdge, a medium and equipment, and relates to the technical field of edge computing. The method comprises the following steps: preprocessing cloud signals and southbound data acquired by a cloud, and inputting the preprocessed cloud signals and southbound data into a pre-constructed multi-stage decision model to obtain a global optimal charging and discharging strategy; transmitting the global optimal charging and discharging strategy to a cloud end through an MQTT protocol to realize strategy synchronization; and issuing an instruction of the global optimal charging and discharging strategy to the energy storage equipment through the cloud.

The invention discloses a supply chain supply and demand dynamic matching method based on a multi-agent game, and relates to the technical field of supply chain management, and the method comprises the following steps: constructing a multi-agent system, dividing agents, carrying an edge module, interacting with an MQTT protocol through a block chain, and encrypting sensitive data; sensing supply and demand information in real time, acquiring parameters according to dynamic frequency, and synchronizing the parameters to a sharing middle station after filtering and cleaning; generating a game strategy, constructing a model by taking Nash equilibrium as a target, and iteratively generating an initial strategy; dynamic matching is executed, requirements are distributed according to priorities, deviation is monitored, and negotiation and adjustment are carried out; evaluating a matching effect in multiple dimensions, and calculating a comprehensive score by using an analytic hierarchy process; and iteratively optimizing a strategy, adjusting parameters according to an evaluation result, and updating a strategy library to adapt to dynamic change. The method breaks the supply chain information island, balances the interests of all participants to achieve overall optimization, improves the supply and demand matching precision and dynamic adaptation capability, and enhances the efficiency and stability of the supply chain.

The invention discloses an MQTT protocol fuzzy testing method and system based on a large language model guiding sequence generative adversarial network, relates to the field of fuzzy testing, effectively combines the advantages of the large language model and the sequence generative adversarial network, and analyzes basic training data by introducing an intelligent analysis technology of the large language model. And the quality of the training sample of the sequence generative adversarial network is obviously improved. According to the method, the initial seeds can be enriched through the large language model, the discriminator can be assisted to perform multi-dimensional evaluation on the data generated by the generator, and the authenticity and diversity of the test seeds are enhanced. The generation of redundant test cases is greatly reduced, so that the fuzzy test process is more efficient. Meanwhile, a seed elimination technology based on an energy value is designed, it is further ensured that the tested seeds have higher quality, and the efficiency of vulnerability discovery is effectively improved. Meanwhile, according to the maximum coverage length, the test strategy is dynamically adjusted, continuous optimization of the test process is achieved, and a solid guarantee is provided for the test. According to the method, multi-level variation is carried out on the test seeds by utilizing a large language model, vulnerability information existing in the test seeds is quickly positioned, and meanwhile, multi-dimensional and deeper mutation is carried out on the test seeds, so that more existing vulnerability information is explored, namely, the multi-level mutation is carried out on the test seeds; the test seeds which successfully cause the vulnerabilities are verified and optimized by means of the response of the test target, the success and failure positions are summarized, and a more reliable guarantee is provided for subsequent variation.

The invention relates to the technical field of industrial Internet of Things, in particular to a gateway information pushing method and system based on an MQTT exchange protocol, and the method comprises the steps: obtaining a theme message from an equipment end, and recording a subscriber state and a subscription theme from a subscription end; matching a subscription theme with the theme message, and selecting a corresponding pushing mode according to the subscriber state after matching succeeds; in response to the fact that the subscriber state is in the off-line state, marking the theme message which is not received by the subscriber as an undelivered theme message, and storing the theme message in a gateway database; and obtaining the state of the subscriber in real time, and pushing the marked non-delivered theme message to the subscriber when the subscriber is detected to be online. According to the scheme of the invention, the message reliability is effectively improved, the development amount of customized analysis is reduced, and the applicability of message interaction is improved.

The invention relates to the technical field of information security, in particular to a fire-fighting Internet of Things equipment authentication method supporting an anti-quantum algorithm, comprising the following steps: before fire-fighting Internet of Things equipment and an Internet of Things platform server are started through Internet of Things MQTT communication connection, the fire-fighting Internet of Things equipment initiates a first TLS handshake packet to the Internet of Things platform server, the fire-fighting internet-of-things equipment receives a server digital certificate returned by the internet-of-things platform server, verifies the validity of the server digital certificate, and sends an equipment certificate to the internet-of-things platform server after the verification is passed, so that the internet-of-things platform server generates a random session key ciphertext by using a public key in the equipment certificate, and sends the random session key ciphertext to the fire-fighting internet-of-things equipment; the fire-fighting internet-of-things equipment unpacks the random session key ciphertext by using a private key to obtain a shared session key K; and the fire-fighting Internet of Things equipment establishes a security encryption communication channel with the Internet of Things platform server based on the shared session key K, and executes MQTT message transmission in the communication channel.

The invention discloses an MQTT message security protection method and device based on a multilayer protection mechanism, and a medium, and relates to the technical field of communication. The method comprises the following steps: establishing MQTT connection between client equipment and a message proxy server, and receiving an MQTT message sent by the message proxy server through the client equipment; the client device reads a pre-configured device key from a secure storage area of the client device and obtains a current time factor so as to generate a local verification code through cryptographic hash operation; and performing consistency comparison verification on the local verification code and a dynamic authentication password extracted from the MQTT message, if verification is consistent, executing a control instruction in the MQTT message through the client device, and if verification is inconsistent, discarding the MQTT message and triggering an exception handling process.

The invention relates to the technical field of data transmission, and discloses an exception identification method and system in MQTT data transmission, and the method comprises the steps: receiving an MQTT release message sent by a client, and carrying out the analysis to obtain a service quality level field and a theme name field; if the service quality level field is a first service quality level or a second service quality level, pushing the release option object to a release queue; the subscription client set is matched according to the subject name field, the network channel object of each subscription client is obtained, the MQTT push message is constructed through the network channel objects and sent to the corresponding subscription client, the same message event can be processed in parallel, the lock competition overhead of a traditional queue is avoided, and the service life of the message event is prolonged. According to the method and the system, the message throughput of millions per second can be supported by a single release queue, the message push delay can be controlled at the microsecond level, the performance requirement of real-time data transmission of the industrial internet is met, and the stability and availability of data transmission are further guaranteed.

The invention discloses an infrastructure and application management system based on a cloud native technology, and the system comprises a command line tool which is used for carrying out the communication with a server through an MQTT protocol, and executing the cluster management operation; the multi-tenant private cloud cluster module is used for realizing resource isolation and quota management among tenants; the mirror image warehouse module is used for storing and managing application mirror images; the declarative management module is used for defining a resource expectation state through a YAML configuration file; the CI / CD assembly line module is used for automatically constructing, testing and deploying applications; the gateway resource scheduling module is responsible for load balancing and flow control; the user authorization and authentication module is used for realizing authority control based on an RBAC model; the security module comprises data encryption and network isolation; and the asset library management module is used for managing a program component and a platform library. By integrating a cloud native technology stack, a set of efficient, safe and extensible infrastructure and application management system is constructed, and the deployment efficiency and the operation and maintenance capability of enterprise-level applications are remarkably improved.

The invention belongs to the technical field of communication, and particularly relates to a router system service exception self-healing method based on cloud AI, which comprises the following steps: deploying an exception detection module at a router end, collecting system logs and state data in real time and generating a standardized exception report; uploading the report to a cloud AI server through an encrypted MQTT protocol; the cloud calls a hybrid analysis model composed of a rule matching engine, a machine learning classifier and a reinforcement learning decision network to generate a self-healing strategy instruction packet; the router end receives and executes the strategy, completes service restart, configuration rollback or hotfix loading and other operations, and verifies the self-healing effect; when communication interruption exceeds a threshold value, an embedded loopback self-healing subsystem is automatically activated, and abnormity is independently handled based on a local strategy library. According to the technical scheme, millisecond-level abnormal response and high-success-rate autonomous recovery can be achieved, the network availability and the service continuity are remarkably improved, and the disaster recovery self-healing capacity is still achieved when the cloud end is disconnected.

The invention discloses a NodeRed-based data acquisition system and a NodeRed-based data acquisition method, which enable point table configuration to be simpler by expanding and enhancing existing functions of a NodeRed platform and can adapt to various equipment data formats. The data acquisition system relates to a NodeRed platform and an MQTT server. A point table configuration module, a Modbus communication module, a byte order adjustment module and an MQTT client module are arranged in the NodeRed platform. The point table configuration module is used for configuring related information of to-be-collected data points to form point table configuration; the Modbus communication module acquires data of data points according to point table configuration to form first data; the byte order adjustment module performs byte order conversion on the first data to obtain second data; and the MQTT client module publishes the second data to the MQTT server. The invention belongs to the technical field of data acquisition.

The invention provides a communication method based on an SOME / IP protocol and related equipment. The method comprises the following steps: firstly, receiving SOME / IP protocol data, namely first data, sent by a vehicle end application by a vehicle end communication agent; secondly, the vehicle end communication agent converts the first data into second data in a JSON format according to a configuration file used for describing the mapping relation between the first data and the cloud end function module; and finally, the vehicle end communication agent sends the second data to the cloud end through the MQTT protocol, and the cloud end determines an access address according to the second data, so that the corresponding cloud end function module completes interaction with the vehicle end communication agent based on the access address.

The invention provides a method and a system for developing and debugging a data acquisition terminal of an electric energy meter, and the method comprises the steps: virtualizing an acquisition terminal through a PC (Personal Computer) end to generate a hardware operation request containing an equipment type identifier, an operation command and data content, and packaging the hardware operation request into a message in an MQTT (Message Queuing Telemetry Transport) protocol format; and issuing a message to the virtual hardware scheduler through the MQTT server. And analyzing the device type field in the message through the virtual hardware scheduler to determine the target virtual hardware device. And calling a target virtual hardware device to execute a corresponding debugging operation through the virtual hardware scheduler according to the operation command field, obtaining operation response data generated by the target virtual hardware device according to the operation command field and the data content field, and returning the operation response data to the PC end virtualization acquisition terminal through the MQTT server. The development and debugging efficiency of the application program of the acquisition terminal can be improved, the method is fast and portable, and the method does not depend on hardware too much.

The invention discloses an instruction interaction method and system for intelligent equipment, and the method comprises the steps: a platform issues batch instructions to an instruction cache server, and waits for the intelligent equipment to be connected with an MQTT server; after the first intelligent equipment is connected with the MQTT server, the MQTT server informs an instruction cache server and a platform of a first connection result; the instruction cache server issues an instruction to the MQTT server according to the priority, the MQTT server forwards the instruction to the first intelligent device, the first intelligent device executes the instruction sent by the MQTT server and sends an execution result to the MQTT server, and the MQTT server forwards the execution result to the instruction cache server; the second intelligent device is connected with the MQTT server, the MQTT server informs the instruction cache server and the platform of a second connection result, and the instruction cache server issues instructions to the MQTT server according to the priority until all the instructions are sent. The method can guarantee that the instruction is not lost, does not need to maintain long connection, can reduce the power consumption of equipment, and prolongs the service life of a battery.

The invention relates to a message processing method under an MQTT protocol, a computer program product and communication equipment, relates to the technical field of Internet of Things, and solves the technical problem of how to ensure transient response of a high-priority message in the MQTT protocol in an extreme scene at present. The method comprises the following steps: receiving a message based on a message queue telemetry transmission protocol; storing the messages in corresponding message queues according to the priorities of the messages; grouping thread pools for processing the messages according to the priorities of the messages; and executing the grouped thread pool to complete the processing of the message in the message queue. According to the scheme of the invention, the instantaneous response of the high-priority message under different network conditions can be ensured.

The invention relates to the technical field of smart home, and discloses a smart home gateway implementation method and device, and an equipment access layer which is used for accessing multiple types of smart equipment in a smart home scene and collecting real-time operation data and environment sensing data of the smart equipment; the data processing layer is connected with the equipment access layer and is used for performing cleaning, format conversion, multi-source data fusion and storage on the acquired data to form a standardized smart home data set; and an intelligent analysis layer which is connected with the data processing layer and is configured with a user behavior prediction model, an equipment linkage strategy generation algorithm and an equipment fault early warning model. The system has the following beneficial effects: compatibility is strong: five mainstream protocols such as Zigbee and Wi-Fi are supported, more than 95% of intelligent household equipment can be accessed, and all of the equipment can be managed by one gateway; the real-time performance is high, edge processing and MQTT lightweight transmission are achieved, the data acquisition delay is small, and the control instruction response delay is low.

The invention belongs to the field of remote management and control, and discloses a remote login and control method and system based on a virtual serial port and an MQTT protocol, and the method comprises the steps: building a safety publishing and subscribing data channel with a pseudo terminal APP through the MQTT protocol based on a unique code and a national secret algorithm of a remote device, generating a working key, and carrying out the data interaction through the key, and meanwhile, a control command and response data are transmitted between the data transfer service and the terminal simulator by utilizing a pre-created virtual serial port, so that remote login and control are realized. The unique code ensures the uniqueness of the equipment identity, and illegal access is prevented; a national cryptographic algorithm such as SM2 replaces traditional RSA, and encryption efficiency and safety balance are optimized; a working key and a secure channel mechanism guarantee data transmission confidentiality; the virtual serial port integrates a terminal access process, and supports potential user authentication and an authority control layer.

The invention relates to the technical field of Internet of Things communication, discloses an Internet of Things multi-Android client state synchronization method, and solves the problems of poor state consistency, high back-end dependence, large delay and insufficient compatibility in the prior art. According to the scheme, the method comprises the steps that after a client completes initialization, MQTT connection with a rear end is established, an MQTT state message pushed by the rear end is monitored, after the message is received, equipment state information is obtained through analysis, local state cache and a UI interface are updated, meanwhile, the client serves as a distribution node, a UDP synchronization message containing the equipment state and the IP of the distribution node is established, and the UDP synchronization message is sent to the client. The UDP synchronization message is broadcasted to the local area network, other clients in the local area network receive the UDP synchronization message and then verify whether the distribution node IP is the client in the local area network, if the verification is passed, the message is analyzed, the state updating timestamp and the local cache timestamp are compared, and the local state cache and the UI interface are updated only when the state updating timestamp is larger.