1078 results about "Master station" patented technology

The invention provides a Beidou electric power data intelligent acquisition and dynamic communication scheduling method and system. The method comprises the steps that a master station constructs a database and trains a data priority classification model, a channel quality prediction model and an intelligent compression model; a substation collects power data through an edge calculation unit, constructs a skyline candidate set to perform data screening, and performs intelligent classification marking by using a data priority classification model; performing reliability evaluation on the data stream by using a Gaussian mixture model, selecting a compression strategy according to a reliability score, a data type and a priority, and packaging into a data frame; determining a transmission strategy in combination with a channel quality prediction result and a context-aware intelligent switching protocol, and sending a data frame; the master station receives the data frame, performs integrity verification, decompresses and reconstructs the data frame, and feeds back a communication state for model updating; and monitoring the operation state, performing early warning based on the anomaly detection model, and triggering a self-healing strategy. According to the invention, the Beidou communication resource utilization rate and the system reliability are improved.

The invention relates to the technical field of new energy intelligent decentralized control, and discloses a distributed photovoltaic power station intelligent monitoring method and system, and the method comprises the steps: collecting electrical state parameters, and carrying out the normalization processing; performing anomaly detection and island detection based on a multi-dimensional deviation fusion mechanism; generating a power support parameter through a self-adaptive reactive power injection mechanism; under the island mode, loading voltage frequency double-droop combined control; and after the main network is recovered, grid-connected reconnection is realized based on a phase progressive phase locking mechanism. Compared with the prior art that multi-dependence centralized master station judgment and scheduling cannot realize fault isolation and independent operation in time especially under the condition that main network communication is abnormal or frequency fluctuation occurs in a far-end island edge node, the technical problem that fault isolation and independent operation cannot be realized in time in the prior art is solved. Autonomous monitoring of an individual power station level and stable operation of an island are realized, and the stability of the system in a weak network or island operation scene is improved.

The invention provides a transient recording fault intelligent judgment method combining waveform matching and cloud edge cooperation, and relates to the technical field of fault diagnosis. Comprising the following steps: collecting global topological information and fault judgment reference parameters of a master station synchronous power system, and outputting initial transient recording data; carrying out preprocessing and feature extraction on the initial transient recording data, realizing edge side layered fault detection by adopting an improved waveform matching algorithm, and outputting multi-layer fault information; constructing a global fault judgment model, updating the global fault judgment model through the hierarchical model, and optimizing the fault judgment model; multi-level fault information is input into the optimized fault judgment model for accurate fault judgment, and graded response measures are taken for real-time judgment results with different confidence degrees; according to the invention, through deep fusion and system-level optimization of multiple technical streams, a transient recording fault intelligent judgment system integrating real-time performance and accuracy is created.

The present invention belongs to the field of smart power grids and power system automation control. Disclosed is a load emergency control method based on a dynamic event triggering mechanism, which method comprises: on the basis of an indicator of safe operation of a system, performing region division on a distribution network; proposing an adaptive load level division method based on user response willingness, and by taking the minimization of the system operation cost of the distribution network as an objective, establishing a precise load control model of the distribution network; and using a dynamic event triggering mechanism to reduce communication between substations and a master station of the distribution network, so as to realize effective exchange and precise execution of load control policy information. The method of the present invention can precisely realize precise control of a load, and can effectively alleviate communication transmission pressure of a distribution network, thereby ensuring the stability of a power grid and the continuous supply of critical loads.

The invention relates to the field of power distribution control, and particularly discloses a self-healing control system and method based on multi-agent collaboration, and the system comprises a regional agent and a local agent which are disposed in a power distribution network. Wherein the local intelligent agent is configured to obtain real-time operation data of a monitoring point in the power distribution network, and perform rapid fault detection on the real-time operation data; the regional intelligent agent is configured to fuse the fault analysis information of the plurality of local intelligent agents to determine fault position information when the power distribution network has a fault, generate a self-healing control strategy according to the fault position information, and send the self-healing control strategy to the local intelligent agents for execution; through cooperative work of the distributed intelligent agents, the problems of low response speed, low positioning precision, weak autonomous capability and the like in traditional power distribution network fault management are solved. In addition, the system does not need to depend on centralized control of a master station, can still operate autonomously when communication is interrupted, and improves the efficiency and reliability of fault processing through cooperation of multiple agents.

The invention discloses a main station big data-based low-voltage transformer area topology hierarchy identification method and system, and the method comprises the steps: constructing a multi-dimensional voltage feature vector through the voltage time sequence data, collected by a main station side, of a transformer area general meter and a user ammeter, and forming an electrical feature matrix through feature extraction; and on the basis, judging the station area affiliation and the phase line affiliation of the user electric meter through similarity calculation. Then, generating a stable consensus cluster based on multi-time window clustering and the copolymerization matrix, and mapping the cluster into a virtual electric meter box node; constructing a minimum spanning tree and carrying out directionalization to obtain an initial radial topological structure; further introducing an electrical consistency criterion based on correlation of voltage drop and subtree current, performing multi-candidate structure optimization on the preliminary topology, and finally obtaining an optimal transformer area topology hierarchical structure consistent with a physical rule; high-precision automatic identification of the low-voltage transformer area topology can be realized without manual participation, and effective support is provided for digital operation and maintenance of a power distribution network.

The invention discloses a broadband oscillation risk prediction method and system based on wide-area broadband measurement, and relates to the technical field of wide-area broadband measurement. The method comprises the following steps: firstly, collecting grid-connected point high-frequency synchronous phasor data by using a PMU device at a photovoltaic field station side, and performing filtering and time mark calibration processing to eliminate noise and ensure time consistency; performing spectrum correlation analysis on wide-area multi-station PMU data based on time mark synchronization, screening broadband oscillation candidate features, and transmitting the broadband oscillation candidate features to a scheduling master station prediction network; and finally, inputting the real-time operation parameters of the power grid and historical oscillation sample data into the network, carrying out risk assessment and trend prediction, and assisting broadband oscillation early warning and prevention and control decision. According to the method, efficient fusion of multi-area equipment data is realized, a full-system broadband dynamic monitoring view angle is formed, the oscillation dynamic state is captured in real time, the risk is pre-judged, the broadband oscillation risk caused by new energy power fluctuation and power electronic equipment transient response can be dealt with, and the dynamic monitoring requirement of a novel power system is met.

The invention discloses an area health detection system and method based on edge calculation, and relates to the technical field of intelligent monitoring of power systems. According to the method, the edge computing terminal is deployed in the power distribution area, real-time monitoring and health assessment of the operation state of the area are achieved, and support is provided for operation and maintenance decision making in combination with big data analysis and model prediction of a master station platform. The system has the advantages of being real-time, efficient, comprehensive in perception, intelligent in decision making, edge autonomy, edge cloud collaboration and the like, and the operation management level and the power supply reliability of a power distribution area can be remarkably improved.

The invention discloses a distribution network-oriented traveling wave fault location centralized analysis system, which relates to the technical field of power system fault location and comprises a centralized master station and a plurality of monitoring terminals. The monitoring terminals are deployed at different node positions of a power distribution network, and synchronously collect fault traveling wave signals and upload the fault traveling wave signals to the centralized master station. The centralized master station comprises a topology modeling module, a data preprocessing module, a wave head identification module, a candidate branch screening module, a matching evaluation module and an accurate positioning module. According to the invention, through establishing a full-process quality tracking and adaptive weighting mechanism from preprocessing to accurate positioning, a system can adjust a positioning strategy according to a distribution network topology structure and a signal state based on a two-dimensional comprehensive evaluation system of topology sensitivity and signal quality; high fault positioning accuracy and reliability are kept in a complex environment of the distribution network, and the robustness and practicability of the system are improved.

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 provides a distributed photovoltaic data acquisition method and device based on adaptive encryption communication and multi-link redundancy, and the method comprises the steps: collecting real-time power generation data, equipment state data and environment parameters of a photovoltaic system through a multi-source sensor, and forming original data; an MQTT over TLS adaptive encryption communication protocol is adopted to perform end-to-end encryption on original data, and dynamic key management is combined to ensure transmission security; based on a dynamic link selection algorithm, encrypted data is transmitted to a power master station through 4G and LoRaWAN double-link redundancy, so that the transmission reliability is improved; and the master station side decrypts the data and then integrates the data to a database to support power grid dispatching and predictive analysis. According to the invention, the problems of safety and reliability in distributed photovoltaic data acquisition are solved, and the method is suitable for a smart power grid monitoring scene with high reliability and high real-time performance requirements.

The invention discloses a 10kV medium-voltage power distribution network power line carrier communication method and system based on adaptive OFDM (Orthogonal Frequency Division Multiplexing), and the method comprises the steps that a master station sends a detection frame to a slave station, and the slave station carries out the CE (Channel Estimation), and obtains the CSI (Channel State Information); the method comprises the following steps of: dividing a broadband channel into a plurality of parallel orthogonal subcarriers, and dynamically allocating a modulation mode, a modulation order and a forward error correction (FEC) coding rate for each subcarrier of OFDM (Orthogonal Frequency Division Multiplexing) by adopting a water injection algorithm based on channel state information (CSI); adopting two-stage automatic gain control (AGC) to condition a signal received from a power line; and carrying out dynamic frequency hopping between a frequency band with serious interference and an idle frequency band based on a continuous spectrum sensing result. Compared with the prior art, through the multi-dimensional adaptive technology, the communication system can sense the channel state in real time and dynamically adjust the communication strategy, so that a stable communication link is established in a severe power grid environment.

The invention discloses a synchronization method and device for time synchronization of a network system, and relates to the technical field of computers, and the method comprises the following steps: when a master station sends a dynamic compensation synchronization frame, recording a compensation sending timestamp in a sensing identification field of a sending end; when the frame is received and transmitted from the station, the identification field is sensed at the port to determine a compensation receiving timestamp and a compensation transmitting timestamp. And the slave station identifies the dynamic compensation synchronization frame after reverse return, calculates dynamic compensation time information based on the compensation receiving timestamp and the compensation sending timestamp corresponding to the slave station, and reads and writes the dynamic compensation time information to a corresponding field. And the master station analyzes the returned dynamic compensation synchronization frame, aggregates the dynamic compensation time information of each slave station, and solves the dynamic compensation values of the master and slave stations in combination with the fixed link delay. And the master station corrects a local high-precision clock according to the data, and writes a compensation value into a local time correction register of the slave station to trigger a hardware counter to correct so as to complete synchronization of the master and slave clocks. By realizing dynamic residence separation, the problem of overlarge error is solved.

The invention discloses a topology identification method based on intelligent measurement data of a low-voltage transformer area. According to the technical scheme, the topology identification method comprises the steps that 1, a master station issues a timing command to an intelligent measurement terminal and an electric meter; step 2, the master station issues a transformer area electric meter file to the intelligent measurement terminal, configures an acquisition task and issues the acquisition task to the intelligent measurement terminal; step 3, establishing an electric quantity sum linear regression model based on a Lasso algorithm by using daily frozen electric quantity data, and converting the identification problem of the transformer area user-transformer relation into regression coefficient solving; step 4, on the basis of user change relation identification, performing dimension reduction on historical voltage data by using a t-SNE algorithm to improve the identification efficiency of the model; and step 5, clustering the voltage data after dimension reduction by using agglomerated hierarchical clustering, identifying a user phase and a meter box to which the user belongs, and completing identification of a topological structure. According to the method, the power grid topology information of the transformer area can be automatically identified, the efficiency and the accuracy of topology identification are improved, and the method has far-reaching significance for construction of an intelligent power grid.

The invention is suitable for the field of communication technology improvement, and provides an encryption communication method and system used between EtherCAT slave station nodes, an OTP / nonvolatile storage, an encryption scrambling unit and a decryption descrambling unit are integrated in an EtherCAT slave station chip of a coupler and an I / O module, and encryption / decryption of an EtherCAT message is achieved on the hardware level; xOR operation or an AES algorithm is adopted for encryption, and a secret key is stored in an unmodifiable storage unit; and meanwhile, a parallel architecture of an encrypted network and a standard network is constructed, so that the standard interaction between the slave station node and the master station is not influenced by encrypted communication. The system solves the contradiction of poor real-time performance of a private protocol and easy plaintext communication plagiarism in the prior art, realizes the effects of no real-time performance loss, strong communication exclusiveness and flexible compatibility, and is suitable for an EtherCAT high-speed backplane bus system under industrial 4.0.

The invention discloses a wireless communication system and method based on an EtherCAT network. The system comprises a wireless gateway and a wireless slave station, the wireless gateway comprises an EtherCAT slave station module, a wireless communication module, a control module and an auxiliary function module. The control module carries out packaging conversion on an EtherCAT frame received by the EtherCAT slave station module and a wireless frame of the wireless communication module through hardware-level protocol conversion; the wireless communication module is an FHSS module or a WiFi module. The auxiliary function module comprises a timestamp module for recording time information and is used for assisting the control module to perform master-slave clock synchronization by adopting a multi-stage distributed clock synchronization optimization algorithm; the wireless slave station comprises an EtherCAT slave station module, a wireless communication module and a local control unit, wherein the EtherCAT slave station module is used for receiving the control instruction of the EtherCAT master station and is compatible with the wireless gateway; the wireless communication module is used for uploading a wireless frame packaged with an EtherCAT sub-message and has the same model as the wireless frame; and the local control unit is used for analyzing the control instruction of the EtherCAT master station to collect local data and packaging the local data into the EtherCAT sub-message. According to the invention, requirements of industrial automation on high-precision and high-reliability wireless communication can be met.

The invention discloses a micro-grid off-grid operation distributed control method based on consistency cooperation, belongs to the field of new energy micro-grid control, and aims to solve the problems of high single-point fault risk and single control target of existing centralized control. The method is operated in a three-layer architecture formed by a distribution network master station control layer, a micro-grid coordination control layer and an equipment distributed coordination control layer, a distributed communication network is constructed through edge agents, and weight coefficients and security constraints are configured; the edge agent receives a master station total power target, collects and interacts equipment data, calculates and limits amplitude to obtain a final power instruction based on a consistency updating law fusing global power difference distribution, energy storage SOC balance and system loss minimization, and then decomposes the final power instruction into equipment-level instructions to be issued and executed. According to the method, a single-point fault is eliminated, multi-target collaborative optimization is realized, control is simplified, expansibility is high, and power balance and stable and efficient operation when the micro-grid is off-grid are effectively guaranteed.

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 an electric power monitoring data general transmission method and system based on a Beidou short message, and relates to the technical field of electric power monitoring systems. The method includes; a substation collects power monitoring data of a power system, classifies and evaluates the power monitoring data, allocates priorities, and generates classified monitoring data with priority marks; the substation determines a data item value corresponding to the power monitoring data based on the priority mark, screens out a corresponding data combination when the transmission benefit is maximized, and encapsulates the data combination into a transmission frame with an LPDU frame structure, and the transmission benefit is formed by superposing the data item values corresponding to the power monitoring data contained in the data combination; the substation sends the transmission frame to the master station by using a self-adaptive transmission strategy model; and the master station performs intention analysis and intention verification on the transmitted power monitoring data, generates a control instruction and issues the control instruction to the substation. According to the invention, the problem of efficient data coding under the limited frame length is solved.

The invention discloses an intelligent diagnosis method for power equipment primitive state recognition and rule fusion, and relates to the technical field of power system dispatching automation. The method is used for substation dispatching master station monitoring picture equipment primitive state recognition and abnormity diagnosis, video and graph model library data acquisition, preprocessing denoising, frame synchronization and ROI extraction. Using the improved YOLOv8-Tiny to extract a multi-modal feature to identify a primitive state; establishing an expert experience rule base, a graph-model association rule base and an anomaly judgment rule base; performing primary diagnosis on the forward chain reasoning fusion rule; performing cross checking on telecommand consistency, telemetering relevance and graph model library integrity; and outputting a result coexistence log. The problems that manual checking is low in efficiency and prone to omission are solved, the reliability of primitive recognition and correlation checking is improved, a D5000 system and a domestic operating system are adapted, complex monitoring scenes are coped, the operation and maintenance burden is relieved, it is guaranteed that monitoring pictures of a dispatching master station are accurate, and safe operation and maintenance of a power grid are facilitated.

Disclosed in the present application are a configuration-free and maintenance-free method and system for relay protection and fault information substations, relating to the technical field of computer platform load balancing. The method comprises: acquiring all network node information by means of a relay protection and fault information master station, and constructing a network topology diagram; marking a newly added node in the network topology diagram; establishing communication with the marked network node, and uploading the original version of all data of the marked network node to a secure area I by means of a dispatching data network; performing account configuration on a plant side relay protection and fault information substation, and downloading configuration file data to the relay protection and fault information substation; parsing a packet at the relay protection and fault information master station; and establishing a protocol library at the relay protection and fault information master station, and performing protocol conversion and data parsing on the original version packet uploaded by the newly added node. The configuration-free and maintenance-free method for relay protection and fault information substations provided by the present application allows for the data received by the relay protection and fault information master station being completely consistent with the raw data of the plant side, thereby improving the working efficiency and reducing the working cost.

The invention discloses encrypted wireless communication terminal equipment special for electric power, which belongs to the technical field of electric power equipment communication and comprises a security encryption module, a wireless communication module and a wireless communication module, the multimode communication module is used for uploading the encrypted data to a master station through a cellular wireless communication link or a power line carrier communication link; the protocol adaptation module is used for packaging the original data of the equipment into a data frame conforming to a master station protocol; the edge intelligent processing module is used for performing variable quantity compression and dead zone filtering on the acquired field equipment data; the remote operation and maintenance management module is used for realizing equipment parameter configuration, firmware upgrading, state monitoring and warning management; and the core control processing module is used for executing task scheduling, resource allocation and security policy control. By adopting the equipment, the data is effectively prevented from being stolen, tampered or forged in the transmission process of the wireless public network or the power carrier link, and the high-security requirement of the power industry on network communication is met.

The invention provides a method and system for accessing a multi-protocol ammeter to the same address of a master station, and the method comprises the steps: after an ammeter device and a Netty server establish TCP connection, the Netty server initializes a corresponding processor assembly line, and adds a protocol detection processor at the initial position of the Netty server; after a processor assembly line receives first packet data sent by corresponding electric meter equipment, a protocol detection processor of the processor assembly line snoops the first bytes of the first packet data to carry out communication protocol matching; and after the communication protocol of the electric meter equipment is successfully identified, the protocol detection processor dynamically reconstructs an assembly line: the protocol detection processor firstly removes itself, then adds a processor chain special for the identified communication protocol, the processor chain comprises a protocol decoder and a service processor, and then transmits the first packet data to the processor chain. According to the invention, the multi-protocol ammeter equipment is accessed to the same address of the master station, the configuration of the master station is simplified, the resource optimization and integration are realized, and the system compatibility and maintenance efficiency are improved.

The invention discloses an AGC information physical system reliability verification method and system, and relates to the technical field of power dispatching automation. The problems that an existing AGC system only adopts a static operation mode and an ideal communication condition in a simulation test, and coupling response of continuous operation and sudden disturbance of a power grid under a long time scale is difficult to reproduce truly are solved. The state evolution under event driving is realized by constructing three types of simulation event sources of a time sequence operation sample, a master station control instruction and external disturbance and setting a priority mechanism of external disturbance gt, master station instruction gt and time sequence propulsion; an uplink channel fault model is introduced to simulate on-off, delay and errors of measurement data, and a downlink channel fault model is introduced to simulate transmission abnormity of a control instruction; closed-loop simulation of frequency response and electrical quantity updating is realized by combining promotion of a rotor motion equation and dynamic load flow calculation; and finally, by analyzing indexes such as frequency deviation, tie line deviation and control response delay, comprehensive reliability evaluation of the AGC system in a complex information physical environment is completed.

The invention discloses a power dispatching master station robot autonomous inspection method and system based on SLAM and multi-mode perception. The method comprises the following steps: performing SLAM joint estimation through data fusion of a 3D LiDAR, a visual sensor and an IMU, performing inter-frame pose solution based on three-dimensional point set matching by adopting coordinate alignment and scale recovery, and introducing the IMU to perform cross-sensor consistency verification and adaptive pose optimization so as to solve the problem of positioning drift in a complex scene; meanwhile, natural language instructions are coded through a GRU network, visual features are extracted in combination with a residual network with an attention mechanism, time sequence fusion and modeling are carried out, and autonomous navigation decision making in a dynamic environment is achieved. The system comprises a corresponding SLAM estimation module, a multi-modal fusion decision module and an execution mechanism. According to the method, the positioning robustness, the navigation precision and the task adaptive capacity in the complex environment of the power dispatching master station are remarkably improved.

The present application discloses an industrial Ethernet communication method and system, a network device, and a computer storage medium. The method comprises: receiving a PDO packet sent by an industrial master station or a previous industrial slave station, and determining whether to forward the PDO packet to a next industrial slave station; and when a frame processing unit receives the PDO packet returned from the next industrial slave station, or determines that the PDO packet is not forwarded to the next industrial slave station, and if it is determined, on the basis of a preset address mapping rule, that a read instruction is present in the PDO packet, responding to the read instruction to write read target data into a target position of the PDO packet, and then forwarding the PDO packet to the industrial master station or the previous industrial slave station.

The invention relates to the technical field of power network security protection, in particular to a power network distributed cooperative defense method, system and device based on a graph neural network and a storage medium. The method comprises the following steps of: constructing a multi-relation graph structure comprising a master station, a substation and terminal equipment, and extracting node local embedding and full-graph-level situation embedding by adopting a graph neural network; establishing a centralized evaluation network to carry out topological position differentiation evaluation, and constructing a distributed action execution network to realize localized defense decision; a centralized training and distributed execution mechanism is adopted, a global strategy is uniformly optimized in a training stage, and each node independently executes a defense action in an execution stage; strategy iteration optimization is carried out through defense execution feedback, and attack mode changes are dynamically adapted. The technical problems of insufficient topology utilization, high response time delay and weak adaptive capacity in traditional power network defense are solved.

The invention discloses a distributed photovoltaic direct acquisition terminal group scheduling and group control test system and method, and the system comprises a multi-protocol conversion engine which is configured to receive heterogeneous communication protocol messages of a simulation master station, a tested terminal and a photovoltaic power station simulation system, convert the digital simulation data of the photovoltaic power station simulation system into communication messages compatible with the tested terminal, and send the communication messages to the simulation master station, the tested terminal and the photovoltaic power station simulation system; the control instruction of the tested terminal is converted into an operation instruction which can be executed by the photovoltaic power station simulation system; the dynamic interaction database comprises an electrical parameter table, an equipment state table and a control enabling bit table, the three tables are dynamically associated through unique equipment identification and timestamps, real-time data synchronization is achieved, real-time data writing, concurrent access control and historical tracing in the testing process are supported, and concurrent access control is achieved through a transaction lock and a version number mechanism; and the instruction tracking diagnosis module is configured to record the whole-process data change of the control instruction from issuing to execution.

The invention discloses a closed-loop control method for a hydraulic control butterfly valve of a PCCP (prestressed concrete cylinder pipe) long-distance high-pressure water conveying pipeline, and belongs to the technical field of long-distance high-pressure water conveying pipeline control. The problems that in the prior art, due to manual scheduling or single-point PID control, a long-distance PCCP water conveying system has response lag and lacks global cooperation, the water attack risk is difficult to effectively deal with, and the optimal overall energy consumption of the system cannot be considered are solved. According to the invention, by constructing a hierarchical control architecture in which a distributed measurement and control network is coordinated with a central supervision control and data acquisition system platform, a variable-parameter PID control algorithm is built in an equipment PLC, so that millisecond-level identification and active suppression of a sudden water attack working condition are realized; a hydraulic simulation model and a multi-objective optimization algorithm are deployed in a central supervision control and data acquisition system master station, and a whole-line optimal pressure set value is solved through iterative calculation and is issued to each PLC for execution, so that the system energy consumption minimization is realized on the premise of ensuring the pipeline safety.

The invention discloses a multi-device network access method which comprises the following steps: time-sharing enabling: a master station controls the network distribution process of a slave station by pulling down a GPIO (General Purpose Input / Output) pin; directional broadcasting: the master station sends configuration information to the slave station through the broadcast address; dynamic response is carried out, after the slave station receives the configuration information, distribution network information is fed back to the master station, and binding of the hardware identification and the logic address is carried out; and closed-loop confirmation: the master station sends a confirmation response message to the slave station, and the network distribution process of the slave station is ended by pulling up the GPIO pin. The invention also discloses a multi-device network access system. According to the method and the device, the technical problems that the upper-level equipment needs to manually allocate the sub-equipment address or the equipment position cannot be accurately positioned in the hierarchical topology by adopting broadcast type automatic allocation, and the traditional polling mechanism needs to wait for response step by step in the traditional scheme are solved.