A 5G-based smart power plant management and control method, system, device and storage medium

Abstract

This invention discloses a 5G-based smart power plant management and control method, system, equipment, and storage medium, relating to the fields of computer communication and power automation control technology. It includes collecting real-time data from power plant operation subsystems via a monitoring and management host, establishing a dual-channel link for serial port acquisition and network communication; forming a monitoring data model by combining characteristic parameters of smart meters, generators, UPS, and precision air conditioning equipment; and outputting a smart power plant management and control method based on the monitoring data model. The method described in this invention achieves significantly better results in terms of communication reliability, real-time data acquisition, and intelligent alarm response.

Description

Technical Field

[0001] This invention relates to the fields of computer communication and power automation control technology, specifically to a 5G-based smart power plant management and control method, system, equipment, and storage medium. Background Technology

[0002] In existing technologies, power plant operation monitoring systems mainly rely on wired communication networks and fixed protocol interfaces to collect data, and the collection method is mostly single-channel sequential polling.

[0003] When the number of devices is large or communication tasks surge, data transmission congestion and latency accumulation can easily occur, leading to delayed updates of operating parameters. Furthermore, different devices often use different communication protocols and data formats, making it difficult for existing systems to dynamically parse and uniformly model heterogeneous protocols, resulting in information silos.

[0004] On the other hand, with the widespread application of 5G communication technology, its high bandwidth, low latency, and large connectivity provide new technical support for remote monitoring of power plants and collaborative control of multiple devices.

[0005] 5G networks can achieve real-time data interaction with millisecond-level latency, providing the foundation for concurrent access of multi-source devices, distributed control, and edge computing.

[0006] However, the current use of 5G technology in the field of power plant automation is still limited to the communication level, and there is a lack of a complete management and control solution that combines the characteristics of 5G network with data acquisition and modeling, task scheduling, and intelligent alarm linkage. Summary of the Invention

[0007] In view of the above-mentioned problems, the present invention is proposed.

[0008] Therefore, the technical problem solved by this invention is that existing power plant monitoring and management methods suffer from poor communication link reliability, high equipment data acquisition delay, and single alarm response methods. Furthermore, it addresses the issue of how to achieve unified management and control of data acquisition, protocol adaptation, and multimedia alarm integration in scenarios where multiple types of equipment operate on a shared network.

[0009] To address the aforementioned technical problems, this invention provides the following technical solution: a 5G-based smart power plant management and control method, comprising collecting real-time data from the power plant operation subsystem through a monitoring and management host, and establishing a dual-channel link for serial port acquisition and network communication.

[0010] A monitoring data model is formed by combining the characteristic parameters of smart meters, generators, UPS and precision air conditioning equipment, and a smart power plant management and control method is output through the monitoring data model.

[0011] In the serial port acquisition unit 100, the communication priority and data refresh frequency are set according to the type of acquisition device, and dynamic protocol adaptation is performed through edge nodes.

[0012] In the network communication unit 200, when the access control controller or the video recording module triggers an abnormal state, the alarm interface is called and multimedia fusion alarm information is generated.

[0013] As a preferred embodiment of the 5G-based smart power plant management and control method of the present invention, the real-time data collection of the power plant operation subsystem includes configuring data collection tasks for each subsystem.

[0014] The communication port, baud rate, data frame length, and verification rules are initialized sequentially according to the task scheduling table.

[0015] Establish a data channel and broadcast the acquisition request frame.

[0016] The device code and sampled values ​​are combined to form a response frame and returned to the host.

[0017] As a preferred embodiment of the 5G-based smart power plant management and control method of the present invention, the establishment of a dual-channel link for serial port acquisition and network communication includes loading a link configuration file on the host and setting the main channel and backup channel according to the device type identifier.

[0018] The host determines the link's operating status by monitoring the channel status flags. When the main channel delay exceeds the preset delay threshold or packet loss occurs, the backup channel takes over the transmission task.

[0019] As a preferred embodiment of the 5G-based smart power plant management and control method described in this invention, the formation of the monitoring data model includes mapping the collected electrical quantities, environmental quantities, and equipment operating quantities into data vectors according to subsystem numbers in the monitoring and management host, and constructing a unified monitoring data matrix.

[0020] The host uses field mapping functions to bind real-time data of the power plant's operating subsystems to model parameters.

[0021] As a preferred embodiment of the 5G-based smart power plant management and control method of the present invention, the setting of communication priority includes: after receiving the model snapshot generated by the host, the serial port acquisition unit 100 parses the communication attributes of each device and loads them into the scheduling table.

[0022] The communication weight is calculated based on the device's real-time performance level, and the communication priority is set based on the communication weight.

[0023] During the task loop, the acquisition commands are triggered in order of communication priority, and the data refresh time is recorded after each acquisition.

[0024] As a preferred embodiment of the 5G-based smart power plant management and control method of the present invention, the method of calling the alarm interface includes: when the network communication unit 200 receives an alarm frame sent by the access controller and the video recorder, it searches the alarm configuration table according to the event type and loads the corresponding interface parameters.

[0025] The process of event registration, channel selection, and message construction is executed sequentially.

[0026] During the event registration phase, the anomaly identifier, device number, and timestamp are recorded in the event table.

[0027] As a preferred embodiment of the 5G-based smart power plant management and control method of the present invention, the generation of multimedia fusion alarm information includes receiving alarm frames transmitted by edge nodes, parsing fields in the alarm frames, and loading a multimedia resource path list.

[0028] Create alarm task instances, each instance corresponding to an event number, and the instance records the media type, file path and channel attributes.

[0029] Taking alarm frames as input and multimedia data streams as output, the audio-visual control files, video clips, and text information are loaded sequentially in chronological order.

[0030] The multimedia playback order is calibrated based on frame timestamps, and an index number is generated for each resource.

[0031] Generate alarm data packets and write them to the message queue.

[0032] Another objective of this invention is to provide a 5G-based smart power plant management and control system that solves the problems of unstable communication links, poor real-time data acquisition, and delayed alarm response in current power plant monitoring and management technologies by establishing a dual-channel link for serial port acquisition and network communication, and combining characteristic parameters of multiple types of equipment to form a unified monitoring data model.

[0033] As a preferred embodiment of the 5G-based smart power plant management and control system described in this invention, it includes a real-time acquisition and control module and a data fusion and modeling module.

[0034] The real-time acquisition and control module is used to acquire real-time data from the power plant's operation subsystem through the monitoring and management host, and to establish a dual-channel link for serial port acquisition and network communication.

[0035] The data fusion modeling module is used to combine the characteristic parameters of smart meters, generators, UPS and precision air conditioning equipment to form a monitoring data model.

[0036] Another object of the present invention is to provide a 5G-based smart power plant management and control device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program as a step to implement a 5G-based smart power plant management and control method.

[0037] Another object of the present invention is to provide a 5G-based smart power plant management and control storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the 5G-based smart power plant management and control method are implemented.

[0038] The beneficial effects of this invention are: The 5G-based smart power plant management and control method provided by this invention achieves better results in terms of communication reliability, real-time data acquisition, and intelligent alarm response by constructing a dual-channel link for serial port acquisition and network communication, realizing edge node protocol adaptation and multimedia fusion alarm mechanism. Attached Figure Description

[0039] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is an overall flowchart of a 5G-based smart power plant management and control method provided in Embodiment 1 of the present invention. Detailed Implementation

[0041] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0042] Example 1, referring to Figure 1 As one embodiment of the present invention, a smart power plant management and control method based on 5G is provided, comprising: S1: Collect real-time data from the power plant's operation subsystems through the monitoring and management host, and establish a dual-channel link for serial port acquisition and network communication.

[0043] Configure data acquisition tasks for each subsystem; Initialize the communication port, baud rate, data frame length, and verification rules sequentially according to the task scheduling table; Establish a data channel and broadcast a data acquisition request frame; Upon receiving a request frame, the device code and sampled value are combined to form a response frame and returned to the host.

[0044] The host performs timing verification on the response frame and writes it to the buffer queue. The output of the buffer queue is used as the input of the serial port acquisition unit.

[0045] At the end of each data collection cycle, the host compares the differences in the cache from the previous cycle to determine the incremental data collection interval for the next cycle, thus enabling continuous data input.

[0046] A preferred method for determining the incremental acquisition interval for the next cycle is: ; in, Indicates the first A collection of periodic incremental data acquisition devices. Indicates the device index number. Indicates the first Periodic equipment cache vector, This represents the sum of absolute values. Indicates the cache difference threshold. This indicates the index of the collection period.

[0047] If any device fails to respond during the acquisition period, the host will automatically trigger a timeout determination process and resend the request frame.

[0048] Furthermore, the link configuration file is loaded on the host side, and the primary and backup channels are set according to the device type identifier.

[0049] During system initialization, the primary channel is used for real-time data transmission, while the backup channel is used to back up monitoring information.

[0050] The host determines the link's operating status by monitoring the channel status flags. When the main channel delay exceeds the preset delay threshold or packet loss occurs, the backup channel takes over the transmission task.

[0051] A preferred approach to determine the link's operational status and take over transmission tasks is as follows: ; ; in, Indicates the first Periodic Channel Overall score Indicates the first Periodic Channel Transmission delay, Indicates the first Periodic Channel Current load rate, Indicates the first Periodic Channel packet loss rate , These represent two different trade-off coefficients. Indicates the first The channel for periodic selection This represents the value of the independent variable that minimizes the objective function.

[0052] The host maintains a link state table, which records the channel identifier, load rate, and latency value.

[0053] After each data frame is transmitted, the real-time delay is calculated and the status table is updated. The channel selection for the next communication task is based on the principle of minimum delay.

[0054] The output data of the serial port acquisition unit is sent to the edge node via the main channel, and the network communication unit sends access control and video information via the backup channel. The data from the two channels are aligned with a unified timestamp at the edge node to correctly distinguish data input from different sources.

[0055] S2: Combine the characteristic parameters of smart meters, generators, UPS and precision air conditioning equipment to form a monitoring data model, and output smart power plant management and control methods through the monitoring data model.

[0056] In the monitoring and management host, the collected electrical quantities, environmental quantities, and equipment operation quantities are mapped into data vectors according to the subsystem number to construct a unified monitoring data matrix.

[0057] The host uses field mapping functions to bind real-time data of the power plant's operating subsystems to model parameters.

[0058] Specifically, the input is a set of collected values, and the output is a standardized data block.

[0059] A preferred approach to monitoring data standardization and matrix construction is as follows: ; in, Indicates the first Periodic unified monitoring matrix, Indicates the first Periodic subsystem No. One collected value, express The mean, express standard deviation Indicates the number of subsystems. This indicates the number of feature fields in each subsystem. Indicates the subsystem number. Indicates the feature number.

[0060] During the model building process, the host automatically loads attribute templates based on the device type and performs unit conversion and precision adjustment on the data fields.

[0061] Each template defines the field name, byte length, value range, and data flags.

[0062] The system generates a model snapshot based on the matrix update cycle and outputs the snapshot to the serial port acquisition unit and the network communication unit as input for the next step.

[0063] If any field is missing or has an anomaly flag, a completion operation is performed at the model layer, and the completion result is passed as input to the edge node to ensure that the data model maintains structural consistency and provides the input dataset for subsequent protocol parsing.

[0064] Specifically, after receiving the model snapshot generated by the host, the serial port acquisition unit 100 parses the communication attributes of each device and loads them into the scheduling table.

[0065] The communication weight is calculated based on the device's real-time performance level, and the communication priority is set based on the communication weight.

[0066] A preferred approach for setting communication priorities is: ; in, Indicates device The communication weights, Indicates the equipment category factor. Indicates the task level weight. This indicates the rate of change of equipment data in the previous period. , , These represent three different weighting coefficients.

[0067] The input to the weight calculation function is the device category, task level, and the data change rate of the previous period, and the output is the current acquisition priority.

[0068] During the task loop, the acquisition commands are triggered in order of communication priority, and the data refresh time is recorded after each acquisition.

[0069] Setting the data refresh frequency includes dynamically adjusting the refresh frequency based on priority. When the cumulative task delay exceeds the threshold, the data collection of low-priority devices is paused and the refresh frequency is reallocated.

[0070] A preferred approach for setting the data refresh rate is: ; in, Indicates the first Periodic equipment refresh rate Indicates the system's basic acquisition frequency. Indicates the adjustment factor. This represents the maximum weight of all devices in the current period.

[0071] Before outputting data, the serial port acquisition unit 100 writes the acquisition time, priority and refresh frequency into the message header for edge nodes to identify.

[0072] When parsing packets, edge nodes use acquisition time, priority, and refresh frequency to schedule channels, achieving a synchronous correspondence with the host output, thus maintaining a consistent acquisition rhythm during multi-task operation.

[0073] When the network communication unit 200 receives an alarm frame from the access controller or the video recorder, it looks up the alarm configuration table according to the event type and loads the corresponding interface parameters.

[0074] The process of event registration, channel selection, and message construction is executed sequentially.

[0075] During the event registration phase, the anomaly identifier, device number, and timestamp are recorded in the event table.

[0076] During the channel selection phase, the calling interface is determined based on the event category. If it is a security event, the audio-visual channel is selected; if it is a runtime event, the information channel is selected.

[0077] The message construction phase uses event table data as input to generate alarm frames.

[0078] The alarm frame includes the event number, channel type, and response flag.

[0079] After generating an alarm frame, the host transmits it to the edge node buffer as input. Upon receiving the alarm frame, the edge node performs a queue update and determines whether to trigger the multimedia fusion process based on the frame header information, so that the output of the alarm interface becomes the input for subsequent multimedia fusion.

[0080] Finally, the alarm frames transmitted by the edge nodes are received, the fields in the alarm frames are parsed, and the list of multimedia resource paths is loaded.

[0081] Create alarm task instances, each instance corresponding to an event number, and the instance records the media type, file path and channel attributes.

[0082] A preferred scheme for alarm frame fusion and packet construction is as follows: ; in, Indicates the first A single alarm event data packet Indicates the alarm event identifier. Indicates the device number that triggered the alarm. Indicates the timestamp when the alarm was triggered. Represents a collection of multimedia resources. Indicates the first Media types Indicates the first Various media pathways This indicates the number of media outlets corresponding to the alarm event.

[0083] Taking alarm frames as input and multimedia data streams as output, the audio-visual control files, video clips, and text information are loaded sequentially in chronological order.

[0084] The multimedia playback order is calibrated based on frame timestamps, and an index number is generated for each resource.

[0085] Generate alarm data packets and write them to the message queue.

[0086] After receiving the data packet, the mobile terminal reads the media index through the parsing interface and displays it in the order of the identifiers, realizing a complete input-output correspondence from host alarm to terminal presentation, ensuring that alarm data maintains logical continuity between layers.

[0087] Example 2, an embodiment of the present invention, provides a 5G-based smart power plant management and control system, including a real-time acquisition and control module and a data fusion and modeling module.

[0088] The real-time acquisition and control module is used to collect real-time data from the power plant's operation subsystems through the monitoring and management host, and to establish a dual-channel link for serial port acquisition and network communication.

[0089] The data fusion modeling module is used to combine the characteristic parameters of smart meters, generators, UPS and precision air conditioning equipment to form a monitoring data model.

[0090] This embodiment also provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the 5G-based smart power plant management and control method proposed in the above embodiment.

[0091] This embodiment also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the 5G-based smart power plant management and control method proposed in the above embodiment.

[0092] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0093] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0094] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0095] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A 5G-based smart power plant management and control method, characterized in that, include: Real-time data from the power plant's operation subsystems is collected by the monitoring and management host, establishing a dual-channel link for serial port acquisition and network communication. A monitoring data model is formed by combining the characteristic parameters of smart meters, generators, UPS, and precision air conditioning equipment. This model is then used to output a smart power plant management and control method. In the serial port acquisition unit (100), the communication priority and data refresh frequency are set according to the type of acquisition device, and dynamic protocol adaptation is performed through edge nodes; In the network communication unit (200), when the access controller and the video recording module trigger an abnormal state, the alarm interface is called and multimedia fusion alarm information is generated.

2. The 5G-based smart power plant management and control method as described in claim 1, characterized in that: The real-time data collected from the power plant operation subsystem includes... Configure data acquisition tasks for each subsystem; Initialize the communication port, baud rate, data frame length, and verification rules sequentially according to the task scheduling table; Establish a data channel and broadcast a data acquisition request frame; The device code and sampled values ​​are combined to form a response frame and returned to the host.

3. The 5G-based smart power plant management and control method as described in claim 2, characterized in that: The establishment of the dual-channel link for serial port acquisition and network communication includes, Load the link configuration file on the host and set the primary and backup channels according to the device type identifier; The host determines the link's operating status by monitoring the channel status flags. When the main channel delay exceeds the preset delay threshold or packet loss occurs, the backup channel takes over the transmission task.

4. The 5G-based smart power plant management and control method as described in any one of claims 1 to 3, characterized in that: The formation of the monitoring data model includes, In the monitoring and management host, the collected electrical quantities, environmental quantities, and equipment operation quantities are mapped into data vectors according to the subsystem number to construct a unified monitoring data matrix; The host uses field mapping functions to bind real-time data of the power plant's operating subsystems to model parameters.

5. The 5G-based smart power plant management and control method as described in claim 4, characterized in that: The setting of communication priorities includes, After receiving the model snapshot generated by the host, the serial port acquisition unit (100) parses the communication attributes of each device and loads them into the scheduling table; Calculate communication weights based on the real-time performance level of the equipment, and set communication priorities based on these weights. During the task loop, the acquisition commands are triggered in order of communication priority, and the data refresh time is recorded after each acquisition.

6. The 5G-based smart power plant management and control method as described in any one of claims 1 to 3 and 5, characterized in that: The alarm call interface includes, When the network communication unit (200) receives an alarm frame from the access controller and the video recorder, it searches the alarm configuration table according to the event type and loads the corresponding interface parameters. The process of event registration, channel selection, and message construction is executed sequentially. During the event registration phase, the anomaly identifier, device number, and timestamp are recorded in the event table.

7. The 5G-based smart power plant management and control method as described in any one of claims 1 to 3 and 5, characterized in that: The generated multimedia fusion alarm information includes: Receive alarm frames transmitted from edge nodes, parse the fields in the alarm frames and load the list of multimedia resource paths; Create alarm task instances, each instance corresponding to an event number, and the instance records the media type, file path and channel attributes; Taking alarm frames as input and multimedia data streams as output, the audio-visual control files, video clips, and text information are loaded sequentially in chronological order. The multimedia playback order is calibrated based on frame timestamps, and an index number is generated for each resource; Generate alarm data packets and write them to the message queue.

8. A 5G-based smart power plant management and control system, employing the 5G-based smart power plant management and control method as described in any one of claims 1 to 7, characterized in that: Includes a real-time acquisition and control module and a data fusion and modeling module; The real-time acquisition and control module is used to acquire real-time data from the power plant's operation subsystem through the monitoring and management host, and to establish a dual-channel link for serial port acquisition and network communication. The data fusion modeling module is used to combine the characteristic parameters of smart meters, generators, UPS and precision air conditioning equipment to form a monitoring data model.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the 5G-based smart power plant management and control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the 5G-based smart power plant management and control method as described in any one of claims 1 to 7.

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