429 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 a lightweight MQTT protocol-based firmware upgrading method for a reconnected Internet of Things device in an off-network state, and relates to the technical field of Internet of Things. By collecting a device information set and a network information set, the reconnected Internet of Things device in the off-network state is upgraded based on the device information set and the network information set; constructing a dynamic block adjustment strategy for determining the size and downloading priority of the firmware blocks by using a self-adaptive algorithm; based on the equipment information set and the network information set, constructing an intelligent reconnection strategy for adjusting reconnection time by using a time sequence prediction model, and intelligently partitioning transmission firmware by using a dynamic block adjustment strategy so as to adjust the size and downloading sequence of transmission firmware blocks in real time; and an intelligent reconnection strategy is used to recover the connection when the network fluctuates and continue downloading, receiving and verifying the transmission firmware block, a verification information set is generated, and the integrity of the transmission firmware block is verified. And the continuity and the success rate of firmware upgrading are obviously improved.

The invention discloses an industrial communication protocol conversion system and conversion method. The method comprises the following steps: acquiring data of an industrial communication source protocol; protocol conversion: converting the source protocol data into target protocol data according to a sequence of protocol analysis, standardized modeling and protocol repackaging; according to protocol analysis, original data transmitted from different hardware interfaces are analyzed according to corresponding industrial protocols; the standardized modeling parses the data into a data model in a unified format; protocol repackaging: recoding the data model into a data frame conforming to a communication specification according to a target protocol rule; and data output: pushing the obtained target protocol data to a third-party server through an MQTT protocol or directly storing the target protocol data in a database for a third-party system to access. Through three core technologies of protocol analysis, unified data modeling and protocol packaging, lossless conversion among different industrial protocols is realized, and an efficient and reliable data communication infrastructure is provided for an industrial automation system.

The invention relates to the field of power equipment data processing, in particular to a multi-target dynamic optimization unit load intelligent distribution method, which adapts a micro-service cluster through a containerization protocol, adopts an OPC UA protocol and an MQTT protocol to respectively collect thermal power and new energy data at different frequencies, dynamically analyzes an IEC 61850 power grid instruction, converts and stores the IEC 61850 power grid instruction into a Kafka message queue, and sends the IEC 61850 power grid instruction to a network server. The problem of communication protocol heterogeneity is solved. Based on an IEEE 1588 protocol, sub-millisecond clock synchronization of edge nodes is realized, a cubic spline interpolation algorithm is adopted to align multi-frequency data, an interpolation window is dynamically adjusted in combination with a genetic algorithm, and a spatial-temporal characteristic matrix is generated and stored in a Redis database. And performing multi-objective optimization solution through an NSGA-II algorithm, and dynamically adjusting the weight of an objective function to adapt to the frequency modulation requirement of the power grid. A closed-loop feedback mechanism corrects model parameters through Kalman filtering, actual data are written back to a feature matrix, the robustness of the system is improved in combination with a hierarchical fault-tolerant strategy, the problem of space-time mismatch of data is effectively solved, and the economical efficiency and safety of load distribution are improved.

The invention relates to the technical field of content transmission methods, in particular to a content transmission method based on a multi-modal streaming media fusion technology system, which comprises the following steps: S1, multi-source data acquisition and time-space alignment: adopting an IEEE 1588PTP protocol, deploying a hardware clock synchronization module at a camera, a microphone and IMU equipment, improving the timestamp precision to a mu s level, and performing time-space alignment on the camera, the microphone and the IMU equipment; carrying out sampling rate normalization on the sensor data; s2, feature level cross-modal fusion: extracting each modal feature by using a lightweight Transform model, executing cross-modal attention calculation in an edge server, and generating a fusion feature tensor Ffusion belonging to RN * D; the system content transmission method based on the multi-modal streaming media fusion technology solves the problems that a traditional multi-modal transmission system usually adopts a separated transmission architecture, video streams are transmitted through an RTMP protocol, audio streams are encoded through Opus and are transmitted through WebRTC, sensor data are sent through an MQTT protocol in a JSON format, ABR only adjusts the video code rate, and the transmission efficiency is low. And joint optimization of multi-modal data is not coordinated.

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 invention relates to the technical field of industrial Internet of Things, in particular to a secondary development system and method based on an industrial Internet of Things gateway. Comprising a client and an industrial Internet of Things gateway. The client issues equipment information and variable information of the configured script equipment to the industrial Internet of Things gateway; the industrial Internet of Things gateway comprises a secondary development module; an initialization module; an object model module; a variable module; and a Python SDK module. According to the invention, system modular decoupling is realized through a publishing and subscribing mechanism of a built-in MQTT server, dynamic extension of multi-industrial protocol conversion and edge computing capability is supported, and a low-code Python SDK development environment is provided. Compared with the prior art, according to the scheme, the edge secondary development period is greatly shortened, the development efficiency is improved, and the core pain points of poor protocol expansibility, openness limitation, high secondary development starting difficulty, large workload and the like in the field of the industrial Internet of Things are effectively solved.

The invention relates to the technical field of computer networks, in particular to an intelligent agent system and method based on the MCP technology, and the system comprises an MCP intermediate layer protocol engine, an intelligent scheduling module, a channel management system, a security enhancement mechanism and an edge node self-learning mechanism. The method has the beneficial effects that support for various communication protocols (such as HTTP, MQTT, gRPC and the like) is realized through the MCP technology. Through the protocol adapter module, the system can automatically identify and load different protocol adapters, and parallel work of multiple protocols can be supported without manual intervention. The multi-protocol support greatly improves the flexibility of the system, so that the system can be seamlessly connected with equipment of different manufacturers and standards, and the requirements of complex and diverse application scenes are met.

The invention discloses an unmanned vending machine data storage and analysis method and device based on lake and warehouse integration. The method comprises the following steps: acquiring sensor and equipment data of an unmanned vending machine through an MQTT or HTTP protocol; metadata and versions of sensor and device data are managed through Apache Paimon, ACID transactions are supported, and data hierarchical management is carried out; performing real-time calculation on sensor and equipment data by using Flink + Kafka to realize inventory monitoring, fault detection and dynamic pricing; spark + Paimon is used to carry out batch calculation on sensor and equipment data, and user behavior analysis, commodity preference prediction and equipment operation evaluation are completed; the analysis result of sensor and equipment data is displayed through a visual tool, and a real-time instrument panel, operation support and a data analysis report are provided to assist the operation decision of the unmanned vending machine. According to the invention, efficient integration and analysis of multi-source data are realized, the operation cost is reduced, and the operation efficiency and user experience are improved.

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 a big data integration and distribution unit component of a hierarchical architecture and a use method, relates to the technical field of data integration and processing, and solves the problems of real-time integration, unified processing and safe distribution of multi-source heterogeneous data. The device adopts a five-layer modular architecture; a data access layer supports multi-source data access and is buffered through Kafka; the cleaning conversion layer performs data cleaning and standardization by using a FlinkSQL, an ETL engine and a rule engine; the intelligent distribution layer judges a data distribution path in combination with a rule engine and a machine learning model; the storage calculation layer adopts a cold and hot separation storage strategy and supports parallel operation of Spark batch processing and Flink stream processing; and the service and security layer provides an interface through an API gateway, and guarantees data security in combination with AES-256 encryption and RBAC access control. Besides, dynamic resource scheduling is realized through Kubernetes, cross-domain model cooperative training is supported by utilizing a federated learning technology, the intelligent shunting decision-making capability is improved, various industrial protocols such as MQTT and Modbus are compatible, and VXLAN tunnel transmission is supported.

The invention relates to the technical field of data transmission, and particularly provides an Internet of Things data transmission method, system and device based on MQTT, and a storage medium, and the method comprises the steps: employing a dynamic plug-in to analyze Internet of Things data employing a plurality of communication protocols, and obtaining initial data in a unified format; extracting feature data from the initial data, and determining an MQTT theme according to the type of the feature data; and packaging the feature data into an MQTT message according to the MQTT theme, and issuing the MQTT message to a subscriber. According to the invention, the network pressure of data transmission of the Internet of Things is reduced, and the data transmission efficiency is improved.

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 discloses an edge computing gateway system based on radiation monitoring equipment, and belongs to the field of radiation monitoring, the edge computing gateway system comprises the radiation monitoring equipment, an edge computing gateway and a cloud Internet of Things platform which are connected in sequence, and the edge computing gateway is connected with the cloud Internet of Things platform through an MQTT protocol; the edge computing gateway mainly comprises a dual-architecture processor, a protocol library plug-in, an edge computing engine, an offline data storage module and a device configuration module. The system is dynamically compatible with a multi-source heterogeneous protocol, supports Internet of Things platform standard communication, simplifies configuration management, realizes local edge calculation, provides abnormal data discrimination and other functions, and solves the problems of poor protocol compatibility, insufficient data reliability, complex configuration management, lack of intellectualization, weak support of mobile equipment and the like in the prior art. The system is especially suitable for monitoring and management of radiation environments such as nuclear facilities, hospitals and industrial flaw detection.

The invention relates to the technical field of data processing, and discloses a gateway service integrated management method and system based on an FTTR demand. The method comprises the following steps: carrying out topology scanning on a test signal of an optical time domain reflectometer to obtain a room-level FTTR topology mapping table, carrying out feature extraction on service traffic of each room according to deep packet inspection to obtain a room function identification tag library, and carrying out attenuation compensation on a corresponding room optical port by an optical power meter to obtain an FTTR link quality evaluation matrix, and bandwidth allocation is carried out through a reinforcement learning algorithm to obtain a room-level QoS strategy configuration set, and building data interaction is carried out based on an MQTT protocol to obtain an FTTR gateway service integrated management scheme. According to the invention, the intelligent level of FTTR network room-level management and the resource allocation efficiency are improved. According to the invention, the real-time performance of optical fiber link quality monitoring and the collaboration of building network management are improved.

The invention relates to an equipment remote control system and method based on computer network application, and relates to the technical field of computer networks, and the system comprises a remote control terminal, a remote control server, controlled equipment, a network communication module, a security authentication module, an equipment management module, an instruction analysis module and a data encryption module. According to the invention, security measures such as bidirectional identity verification and data encryption are adopted, illegal access and control are effectively prevented, and the security of data is ensured. Low-delay communication protocols such as an MQTT protocol are adopted, the real-time performance of a control instruction is guaranteed, and the method is particularly suitable for equipment control with the high requirement for the real-time performance. And multiple control protocols are supported, so that equipment of different manufacturers can be compatible, and the deployment cost is reduced. And a simple and easy user interface is provided, so that the user can quickly master, and the working efficiency is improved. And a modular design is adopted, so that new equipment types and functions can be conveniently expanded, and continuously increasing remote control requirements can be met.

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 discloses an Internet of Things teaching gateway system and method of a distributed architecture, and the system comprises a plurality of protocol module services which comprise a Modbus RTU module service, a Modbus TCP module service, a Zigbee2Cloud module service, a LoRa2Cloud module service, a CAN2Cloud module service and a serial port unvarnished transmission module service, and are used for processing the data interaction of a communication protocol; the MQTT module service is used for receiving and forwarding data of each protocol module service; the Web management module service is used for carrying out configuration and real-time data display on each protocol module service; the teaching experiment programming and debugging service is used for supporting the students to carry out protocol logic development and debugging; the distributed message service is used for data routing; and the containerized deployment service is used for packaging the service into an independent container for deployment. The system is suitable for internet-of-things teaching experiments, programming education and remote interaction.

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.