392 results about "Modbus" patented technology

The invention relates to the technical field of data acquisition, in particular to a multi-source heterogeneous bus data acquisition protocol configuration method, which realizes protocol identification and structure analysis of CAN (Controller Area Network), Modbus and Ethernet / IP (Internet Protocol) bus data by dynamically compiling protocol source codes and registering analysis classes, and comprises the following steps of: extracting protocol feature information from a data stream; the method comprises the following steps of: calling a corresponding protocol analysis class to perform recursive analysis, and executing parameter analysis and mapping, in addition, defining a new protocol semantic feature and dynamically generating a protocol analysis plug-in through an XML (Extensible Markup Language) configuration file to realize protocol semantic-level custom extension, adopting source code level dynamic compilation and plug-in design, supporting a new protocol plug-and-play mode, and being high in practicability. System codes do not need to be modified and redeployed, and the flexibility and expandability of the system are effectively improved.

The invention relates to the technical field of equipment fault intelligent diagnosis, in particular to an equipment fault intelligent diagnosis method and system based on a Modbus protocol. The method comprises the following steps: acquiring real-time operation data from target industrial equipment through a Modbus protocol, dynamically adjusting an initial sampling frequency based on an equipment operation state, and performing multiple verification and compensation correction on the acquired data to obtain a stable data stream; performing multi-scale decomposition and feature enhancement processing on the stable data stream, extracting a time-frequency domain mixed feature set, and constructing a feature evolution trajectory; inputting the feature evolution trajectory into a double-branch diagnosis model integrating equipment state prediction and fault classification, and outputting an equipment health degree score and fault type probability distribution; and constructing a dynamic fault threshold curved surface, carrying out multi-dimensional fusion decision by combining the equipment health degree score and the fault type probability distribution, and generating a graded fault early warning and maintenance strategy. According to the invention, the accuracy, timeliness and adaptability of industrial equipment fault diagnosis can be greatly improved.

The invention relates to a production abnormality automatic identification and recovery process control method, which comprises the following steps of S1, realizing second-level synchronization of multi-source heterogeneous data, constructing a real-time data flow pipeline and generating a total-factor production situation data flow through a distributed message queue by adopting a Modbus / TCP protocol analysis algorithm based on industrial Internet of Things edge calculation; through the cooperative effect of industrial protocol analysis and distributed message queues, second-level synchronization of multi-source heterogeneous data is realized, a real-time data flow pipeline is constructed, data acquisition delay is effectively eliminated, the timeliness of anomaly detection is ensured, a dynamic weight distribution mechanism of a rule engine and a long and short-term memory network prediction model is adopted, and the real-time performance of the system is improved. By combining sliding window threshold detection, the accuracy and coverage of anomaly recognition are improved, false alarm and missing alarm caused by a single detection mechanism are reduced, and multi-dimensional root cause tracing is performed by combining a fault mode knowledge base through combined application of time sequence correlation analysis and a causal diagram inference engine.

The invention discloses a software and hardware combined data interaction method and system based on a Modbus communication component. According to the method and the system, different types of Modbus slave devices are managed through a unified communication configuration file and a point table configuration file, so that compatible access to heterogeneous devices is realized; through an optimized point table analysis mechanism, efficient and self-adaptive data acquisition of discontinuous register addresses is supported, and fine processing and conversion are performed on different data types; a graphical configuration management tool is provided, and the equipment configuration and point table management process is simplified; and a standardized command model is used, so that unified control and data interaction of an upper-layer application on Modbus equipment are facilitated. According to the invention, the flexibility, usability and data interaction efficiency of Modbus communication can be remarkably improved, the system integration and operation and maintenance cost is reduced, and an efficient and reliable Modbus communication solution is provided for the field of industrial automation.

The invention belongs to the technical field of information interaction, and relates to a device information interaction method, a slave device gateway and a master device. An active frame transmission mechanism is realized through the slave device gateway, so that the slave device actively reports information to the master device when the state changes or the trigger condition is met, and the master device can analyze and issue a configuration instruction in real time to complete dynamic management of the slave device. The method supports centralized monitoring and configuration of slave devices in the parallel operation energy storage system, ensures the consistency of device identifiers, addresses, groups and states, realizes real-time, accurate and extensible management, does not interfere with the original Modbus master-slave communication process, and effectively solves the problems of poor expansibility, state update lagging, communication conflict risk and the like in the traditional one-master one-slave mode.

The invention discloses a protocol conversion and protocol self-learning method and system for transformer area optical storage and charging cooperation, and the method comprises the steps: constructing a digital twinborn body of a transformer area optical storage and charging system, carrying out the parallel operation of a protocol agent and a protocol agent in a virtual environment, and achieving the cooperative training of the protocol agent and the protocol agent through a hierarchical reinforcement learning architecture, the protocol agent is responsible for learning a dynamic priority scheduling and compression strategy for heterogeneous protocol messages such as Modbus, CAN and IEC 104, the protocol agent is responsible for learning a power balance and voltage stability control strategy based on photovoltaic output, energy storage SOC and charging load, and the two agents realize cross-domain collaborative optimization through a reward function mutual coupling mechanism. And finally, safely deploying the collaborative strategy obtained by training to the edge control equipment of the physical transformer area. According to the method, the problems of disjunction of protocol conversion and cooperative control, protocol strategy solidification, insufficient cross-domain cooperation and the like in the prior art are solved, and the operation efficiency and the self-adaptive capability of the transformer area optical storage and charging system are improved.

The invention discloses a multi-mode intelligent tension self-adaptive control method, and belongs to the technical field of tension control of wire rod processing devices. According to the method, an LSTM-Transform hybrid model is utilized to realize the collaborative optimization control of tension prediction, the rotating speed and the pitch; by means of an edge computing architecture and a Modbus-TCP real-time communication protocol, a data processing and control instruction generation period is compressed to be within 50ms, and the dynamic response capability of a system is improved; and meanwhile, a graded safety protection mechanism is designed, a robust control mode is switched to at a millisecond level when vibration energy exceeds a limit or the temperature is abnormal, and the MES system is linked to push a fault code, so that the control precision is remarkably improved, the material loss rate and the operation and maintenance complexity are reduced, and a high-reliability and self-adaptive intelligent solution is provided for high-speed wire rod processing equipment.

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 a Modbus master station control system for multi-queue task scheduling, and relates to the technical field of automatic control. A multi-queue task scheduling architecture is adopted, firstly, hierarchical classification is performed on Modbus communication tasks according to functional characteristics of the Modbus communication tasks, then different types of tasks are placed in independent task queues with different scheduling strategies, and finally, the tasks are scheduled by a task scheduling manager according to priorities and scheduling strategies of the queues. And in combination with an intelligent optimization mechanism based on historical communication performance data analysis, tasks are efficiently and orderly scheduled and executed, so that the communication efficiency of the Modbus network, the emergency task response speed and the overall reliability of the system are remarkably improved.

The invention discloses a pulsed neutron generator control system based on LabVIEW, and the system comprises a neutron generator industrial personal computer which operates a virtual human-computer interaction interface developed based on LabVIEW; the console core board carries a DSP main control chip and is embedded into a real-time operating system; the driving sampling board is connected with the console core board and is integrated with a signal conditioning circuit; the neutron generator industrial personal computer communicates with the console core board through a Modbus protocol, and controls and drives the sampling board to output control signals of the three independent power supply ion sources, the storage and the acceleration pole to the neutron tube; wherein the console core board generates three paths of PWM signals with the PWM frequency of 2.5 kHz and the step length of 8191, and the three paths of PWM signals are converted into analog control signals through the driving sampling board. According to the control system, the PWM control precision is greatly improved, the voltage control precision is improved to 0.012% (100% higher than that of a conventional scheme) through the combination of the 8191 step length (13-bit resolution) and the 2.5 kHz frequency, and the neutron yield fluctuation is controlled within + / -1.5%.

The invention discloses an intelligent power grid load prediction and dynamic response coordinated scheduling method, and relates to the technical field of power system automation, and the method comprises the steps: accessing intelligent ammeters, distributed power controllers and other devices of Modbus, IEC61850 and DL / T645 protocols through a multi-protocol adaptive gateway, and achieving data standardization; time stamps are calibrated by means of Beidou time service and an IEEE1588PTP protocol, and it is ensured that multi-source data synchronization errors are controllable; deploying an edge computing node cluster, distributing high-priority tasks to low-load nodes through an edge coordinator in combination with a load fluctuation level and a greedy algorithm, and ensuring real-time processing efficiency; the edge nodes generate short-term load prediction, and the cloud platform outputs medium and long-term prediction based on a historical data training model; and finally, the coordinated scheduling decision module fuses the two types of prediction results and the real-time parameters of the power grid, and generates a dynamic instruction to control the output of the adjustable load and the distributed power supply.

The invention relates to the technical field of gateway management, in particular to a Modbus gateway management system and method based on an active identification carrier, and the system comprises a priority field identification module, an instruction field association module, an authority state judgment module, an access judgment module and an exception classification module. According to the method, dynamic structured sorting is executed according to priorities, functional fields are dynamically coupled with instruction sequences according to a mapping relation, equipment authority is synchronously judged based on a validity period and an operation state label to realize packet switching, and a communication process is subjected to full-process identification according to an access state and a data association feature; identity consistency and response sequence differences in interaction events are automatically classified into exclusive abnormal tags, links of equipment access, permission change, communication judgment and abnormal collection are driven by real-time parameter linkage, attribute distinguishing and behavior judgment capabilities in a multi-equipment environment are improved, and the method is suitable for the multi-equipment environment. And full-process management of multi-dimensional identity recognition, dynamic permission allocation, communication judgment and abnormity tracing is supported.

The invention discloses an online stress monitoring device and method based on Modbus-RTU stress sensing and digital communication, and the method comprises the steps: collecting original stress data and a multi-dimensional environment parameter sequence through stress sensing nodes, constructing an exclusive environment gene map, generating a dynamic compensation model, and carrying out the environment coupling decoupling and self-adaptive correction of the original data; a periodic self-diagnosis process is executed in the monitoring process, signal impedance characteristics and output signal stability are analyzed, and an equipment state fault code is generated and actively uploaded through a Modbus-RTU protocol when abnormity occurs; triggering a cooperative monitoring mechanism based on the corrected stress measurement value, controlling adjacent nodes to enter a high-frequency sampling mode and generating a stress propagation dynamic cloud; meanwhile, a node performance baseline is established, and a gain self-regeneration process is started when performance degradation is detected. Accurate compensation and dynamic correction of stress data are realized, and the environmental adaptability, the operation reliability and the fault early warning capability of a monitoring system are remarkably improved.

The invention discloses a dynamic election method and system for an MODBUS redundant master station. The method comprises the steps that an initial master station broadcasts a specific heartbeat message to a bus regularly; all the candidate nodes continuously monitor the bus and judge whether the initial master station fails or not; if the initial master station breaks down, a master station election mechanism is triggered; calculating waiting delay time of each candidate node, and starting an ontology delay timer; when the delay timer of the candidate node expires, immediately carrying out carrier sensing, and judging whether a bus is idle or not; if the monitoring bus is idle, a master station declaration message is broadcasted immediately, and the self state is switched to a master station; and if the monitoring bus is busy, giving up the master station declaration and returning to the slave station state. Priority ranking logic is carried out preferentially through the minimum address, and it is ensured that a unique and optimal result can be rapidly output in each election process; and through carrier sensing, conflicts caused by the fact that a plurality of candidate nodes compete for the bus at the same time are effectively avoided, and the stability and reliability of the system are ensured.

The invention provides a multi-discontinuous register reading method for improving Modbus protocol communication rate and a function code. The multi-discontinuous register reading method comprises the following steps: defining a function code 43H in a Modbus protocol; the method comprises the following steps: determining the type, address list and number of discontinuous registers to be read through a master device, assembling a request frame, and sending the request frame to a slave device; after the slave device receives the request frame, address matching and verification are carried out on the request frame, and if the address is not matched or verification fails, the frame is discarded; if the address is matched and the verification is passed, analyzing, judging whether abnormity exists or not, and executing related operation based on a judgment result; the master device receives the response frame returned by the slave device, verifies the response frame, and analyzes a data list in the response frame to obtain data of each register if the response frame passes the verification and is a normal response frame; if verification fails or the frame is responded abnormally, error processing is carried out, and the multi-discontinuous register reading method which can improve the communication rate, reduce the communication overhead and enhance the real-time performance and is high in compatibility is provided.

The invention discloses a 350MW thermal power generating unit cold end system optimization method based on big data, and relates to the field of electric power. The method comprises the following steps: S1, data collection: selecting historical data during the operation period of a unit as modeling data; s2, data preprocessing: preprocessing historical data; s3, constructing a model: constructing a BP neural network model based on the preprocessed data, and optimizing a weight and a threshold value of the BP model through a genetic algorithm and a particle swarm algorithm; s4, calculating the optimal vacuum degree: calculating the optimal vacuum degree under different working conditions according to the optimized BP neural network model; and S5, cold end system control: sending the optimal vacuum degree and a circulating water pump frequency conversion instruction to a DCS (Distributed Control System) through an MODBUS communication protocol to realize optimal control of the cold end system. The method has the beneficial effects that the cold end system of the 350MW thermal power generating unit is optimized by adopting big data analysis and an intelligent algorithm, so that the comprehensive effects of improving the operation efficiency, reducing the energy consumption, saving the cost and reducing the emission are realized.

A unification method based on data acquisition interfaces of different SCADA (supervisory control and data acquisition) production monitoring systems of a sewage plant comprises the following steps: analyzing private protocols such as Modbus through protocol conversion middleware, and standardizing data streams; establishing association between the unique identifier and the data stream by using an equipment mapping mechanism to form a data mapping table; a data normalization algorithm is adopted to unify a field format, and missing values are filled through linear interpolation. And an increment adaptation module is designed to realize compatibility of new and old system interfaces, and AES-256 encryption is combined to guarantee transmission security. The transmission rate is dynamically adjusted based on the network state, and video and production data are fused. A multi-protocol environment is adapted through an adaptive protocol adjustment module, and finally data integrity is ensured by using a CRC check and retransmission mechanism. According to the scheme, a technical closed loop from protocol conversion to multi-source fusion is constructed, the problems of data island and compatibility of the SCADA system of the sewage plant are solved, and the data management efficiency and reliability are improved.

The invention belongs to the technical field of industrial communication, and discloses a Modbus-RTU-based multi-device cooperation method, device, equipment and medium, and the method comprises the steps: uniformly configuring the initial addresses of a plurality of slave devices as the end edge value of the Modbus-RTU address range; the host device issues public information to the plurality of slave devices through the broadcast address; when any slave device detects a trigger event, switching the slave address to a preset report address, and generating request data containing a device identifier; the upper computer receives and processes the request data from the preset report address, and sends a reset instruction to the slave address after processing is completed; and the slave equipment executes overtime standby, screen locking triggering and unlocking interaction operation according to the received overtime parameters and the security credentials, so that multi-equipment cooperation is realized. According to the method, the communication process is optimized through a dynamic address management mechanism, so that the defects of traditional manual configuration are avoided, and the deployment flexibility of an industrial communication system is improved.

The invention relates to the technical field of industrial automatic round hole welding, in particular to a template-based intelligent welding decision and path optimization method and system for tube plate round holes, the system comprises a CAD module, a file module, a template module and a function module, and all the modules realize data interaction through an internal data bus and communicate with external welding equipment through a Modbus TCP protocol; the method comprises the steps of (1) system initialization, (2) processing file importing, (3) template application, (4) path priority ranking, (5) user interaction modification, (6) data issuing and (7) processing state monitoring. According to the scheme, 3D scanning hardware is not needed, the problems that in the prior art, decision making efficiency is low, process consistency is poor, data modification is difficult, and cost is high can be solved, high-precision, high-efficiency and flexible tube plate round hole welding is achieved, cost is reduced, and welding seam quality consistency is improved.

The invention discloses an industrial-grade acquisition control device and method, and relates to the technical field of industrial automation, and the device comprises a main control module (including an APM32F030C8T6 microcontroller), a double RS485 communication module (based on MODBUS-RTU, and connected with an upper computer and a touch screen), an optical coupling isolation DI / DO module, an industrial-grade power supply and protection module (DC9-36V input, with a TVS tube and the like), a display module, a setting module and a watchdog circuit. According to the device and the method, through hardware modular design, access of an industrial protocol and reliable control of data are realized, and the efficiency and the flexibility of industrial data acquisition and control and the system reliability are remarkably improved.

The invention belongs to the technical field of industrial Internet of Things, and provides a gateway architecture integrating multi-protocol dynamic adaptation and intelligent data fusion in order to solve the problems that an existing industrial Internet of Things gateway is single in protocol adaptation, low in data processing efficiency, difficult in multi-source heterogeneous data integration and the like. The gateway comprises a multi-source data acquisition module, a protocol conversion module, a heterogeneous data fusion engine and an edge calculation module, the multi-source data acquisition module supports industrial protocols such as Modbus and OPC and HTTP communication protocols, and standardized packaging of industrial equipment and sensor data is realized through the protocol conversion module; a unified data model is constructed for equipment operation data and environment sensing data, the equipment state can be analyzed in real time, an early warning instruction can be generated, the data are uploaded to a cloud end through two channels (4G / Ethernet), full connection of equipment such as a PLC, a DCS and an industrial robot in a factory is achieved, the data preprocessing efficiency is improved by 40%, and a high-reliability data base is provided for intelligent reconstruction of the manufacturing industry.

The invention relates to the technical field of industrial communication, in particular to a Modbus credibility enhancement method based on a national cryptographic algorithm, which comprises the following steps: S1, a client sends identity authentication message information including a time factor, a random number, a client public key and an abstract to a server to complete public key exchange, identity authentication is carried out on the two communication parties through a transmission session identifier; s2, the client sends a key negotiation message to the server, and generates an exclusive key of the session after receiving a server key parameter returned after the server successfully verifies the key negotiation message; s3, key verification is carried out between the client and the server; and S4, the client encrypts a Modbus credible message carrying a time factor, a random number and a Modbus command through the exclusive key of the session, and then sends the Modbus credible message to the server, and the server analyzes and replies the Modbus credible message. According to the method, an identity verification process is added, so that other PLCs are prevented from being operated by mistake in a PLC login scene, and the replay resistance and tamper resistance of the message are ensured through a time factor, a random number and an abstract.

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 supercritical CO2 vulcanizing machine hydraulic station heat dissipation and heat recovery system, which relates to the technical field of hydraulic systems, and comprises a hydraulic oil tank unit and a gasification coil pipe arranged in a hydraulic oil tank, the temperature sensor is used for monitoring the hydraulic oil temperature in real time; the flow regulating valve is connected with the gasification coil pipe; wherein the temperature control system comprises a PLC (Programmable Logic Controller) and an upper computer, and the PLC is used for receiving data acquired by the temperature sensor, transmitting the acquired data to the upper computer through a modbus protocol for data processing and executing heat dissipation control; the dynamic temperature prediction module and the supercritical CO2 generation unit are connected through a pipeline, and the supercritical CO2 generation unit and the hydraulic oil tank unit are connected through a pipeline; and the heat energy recovery and utilization unit comprises a high-pressure coil pipe and a heat storage medium used for absorbing and storing heat transferred by the high-pressure coil pipe, centralized monitoring and management of equipment are conveniently achieved, and meanwhile the heat energy centralized recovery efficiency and scale benefits are improved.

The invention provides an industrial heating furnace temperature control method based on temperature increment prediction and model prediction control rolling optimization, and solves the problems that a traditional temperature control method is difficult to adapt to the characteristics of large hysteresis and strong nonlinearity of an industrial heating furnace, and the temperature control precision and the real-time performance are remarkably insufficient. According to the method, real-time temperature data of the industrial heating furnace are collected on line based on a Modbus-TCP protocol, a SimpTempPredictor temperature increment prediction network model is called, rolling prediction of future multi-step temperature is achieved, then a power sequence is generated by adopting a discrete power candidate set, and the temperature of the industrial heating furnace is predicted. And performing rolling optimization based on a cost function J formed by a temperature tracking error, an overshoot penalty, a rise time penalty and a power fluctuation penalty, and issuing an optimal power sequence to the industrial heating furnace. The temperature of the industrial heating furnace can be controlled in real time, and the system has the advantages of being high in precision and high in real-time performance.

The embodiment of the invention provides a communication method and device based on a Modbus TCP protocol. According to the method, effective processing of sticky packet data is realized through pointer management and data length verification of the annular queue. Firstly, the total length of unprocessed data in a queue is calculated according to a head pointer and a tail pointer of an annular queue; taking the data length as a judgment basis, and judging whether the unprocessed data contains a complete data frame or not; if a complete data frame exists in the unprocessed data, reading and processing the data frame from the head pointer position of the annular queue; if the complete data frame does not exist in the unprocessed data, the processing flow is not triggered, next data processing polling is waited, it is ensured that only the complete data frame is analyzed, and abnormal processing caused by packet sticking is avoided. According to the method, through accurate pointer calculation and data length verification, the problem of packet sticking caused by a Nagle algorithm of a slave or host processing delay in Modbus TCP communication is effectively solved.

The invention relates to the technical field of intelligent power grid monitoring, and discloses a power grid monitoring bionic robot intelligent decision-making method supporting rule self-learning, and the method comprises the following steps: S1, sensing and fusing multi-source heterogeneous data; s2, dynamic rule self-evolution and knowledge modeling are carried out; and S3, multi-mode collaborative decision and closed-loop control are carried out. Through a visual acquisition unit, a voice interaction unit and a plurality of industrial communication protocols, such as OPCUA, Modbus TCP and the like, multi-source heterogeneous data such as meter reading, indicator lamp state, mechanical part displacement, monitor voice instructions, equipment operation noise and the like of power grid equipment are comprehensively acquired, cross-system association is established by taking equipment codes as main keys through processing such as wavelet denoising, semantic coding conversion and the like, and multi-source heterogeneous data of the power grid equipment is acquired. A unified data integration view is constructed, and the problem that data acquisition is limited in a traditional monitoring mode is solved.

The invention relates to an optical storage and charging scene data stream processing and collaborative decision-making method, which relates to the technical field of energy management and comprises the following steps of: acquiring and preprocessing optical storage and charging multi-source data; establishing a cross-hierarchy data interaction mechanism, adopting a Modbus unified protocol to realize linkage instruction transmission between devices, connecting an EMS and a power grid dispatching platform upwards, connecting a user side system downwards, and formulating an integrated IEC 104 standard data interaction specification; construction of a knowledge graph: defining core entities such as equipment, indexes, scenes and the like; according to'perception-interaction-decision 'closed-loop cooperation, system data is collected to provide a basis for the knowledge graph, data interaction guarantees scene information integrity, and rules generated by the knowledge graph reversely guide operation of control instructions. The operation efficiency of the optical storage and charging system can be effectively improved, and the cost per kilowatt-hour is reduced.

The invention relates to the technical field of wireless transmission, in particular to a Modbus wireless transmission method and system based on Zigbee. A Modbus cluster is defined in a ZCL protocol, a Modbus ID attribute corresponding to physical equipment of each slave converter is set for each slave converter, when a host converter needs to communicate with unknown equipment, blind data broadcasting is not needed any more, and the communication efficiency is improved. Instead, a matching command carrying the target Modbus ID is broadcasted firstly, only the slave converter matched with the ID in the network responds to the Zigbee network address of the slave converter in a unicast mode, the host dynamically establishes address mapping after receiving the Zigbee network address, all subsequent Modbus messages are accurately transmitted through efficient and stable unicast, the mapping relation has the self-healing capacity, and the Modbus messages can be accurately transmitted through the self-healing capacity. When the network address of the slave is changed, the network address can be automatically updated, and long-term stability of communication is ensured.