Construction method of monitoring system protocol conversion rule chain for intelligent substation

Abstract

The invention discloses a method for constructing a protocol conversion rule chain of a monitoring system for an intelligent substation, belongs to the technical field of substations, and aims at solving the problem that the intelligent substation monitoring system is easy to form data islands and inconsistent information delay, and the method comprises the following steps: S1, determining a demand and a range; s2, analyzing existing equipment and systems; s3, determining a data stream and a conversion system; s4, designing a protocol conversion rule chain; s5, implementing and integrating; s6, testing and optimizing; s7, deployment and maintenance are carried out; s8, safety and compliance are guaranteed; by setting and constructing the protocol conversion rule chain for the intelligent substation monitoring system, various data in different formats can be uniformly converted into a uniform internal data format, the data processing and analysis process can be simplified, the whole monitoring system is more transparent and easy to manage, and the monitoring efficiency is improved. And the interoperability of data among different subsystems is realized, so that the system is more integrated and coordinated.

Description

Technical Field

[0001] The present invention belongs to the technical field of substations, and in particular relates to a method for constructing a monitoring system protocol conversion rule chain for an intelligent substation. Background Art

[0002] Substation refers to the place in the power system where voltage and current are transformed, electric energy is received and distributed. The substation in the power plant is a step-up substation, which is used to step up the electric energy generated by the generator and feed it into the high-voltage power grid. The substation contains primary equipment and secondary equipment. The primary equipment mainly refers to the equipment for producing, transmitting and distributing electric energy, mainly including transformers, high-voltage circuit breakers, disconnectors, mutual inductors and busbars, etc. The secondary equipment of the substation refers to the equipment for measuring, monitoring, controlling and protecting the operating conditions of the primary equipment and system. It mainly includes relay protection devices, automatic devices, measurement and control devices, metering devices, automation systems and DC devices that provide power for secondary equipment; smart substation refers to the process and facilities of intelligent transformation and upgrading of traditional power substations using advanced information technology and communication technology. Smart substations integrate advanced monitoring, control, communication and protection devices to improve the operating efficiency, reliability and safety of the power system, and at the same time realize remote monitoring and intelligent management of all aspects of the power system.

[0003] Different devices and systems in the current smart substation monitoring system use different communication protocols and data formats, which makes it difficult to integrate and unify data. This will cause data to be stored in various systems in a scattered manner, forming data islands and reducing the overall utilization value and analysis capabilities of the data. At the same time, if there is no unified rule chain in the data transmission and processing process to ensure the real-time and consistency of the data, it may cause information delays and inconsistencies.

[0004] Therefore, a method for constructing a protocol conversion rule chain for a monitoring system of a smart substation is needed to solve the problem in the prior art that the monitoring system of a smart substation is prone to forming data islands and inconsistent information delays. Summary of the invention

[0005] The purpose of the present invention is to provide a method for constructing a protocol conversion rule chain for a monitoring system of a smart substation, so as to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for constructing a protocol conversion rule chain for a monitoring system of a smart substation, comprising the following steps:

[0007] S1. Determine requirements and scope: First, clarify the monitoring requirements and system scope of the smart substation, determine the equipment, system and data types that need to be monitored, and the communication protocols and data formats used by various devices;

[0008] S2. Analyze existing equipment and systems: Collect and analyze the equipment and systems deployed in smart substations, including sensors, controllers, SCADA systems, etc., and record the communication protocols, data formats, and data transmission characteristics and requirements used by each device;

[0009] S3. Determine data flow and conversion system: define the flow of data from source to target and clarify the data conversion requirements;

[0010] S4. Design a protocol conversion rule chain: Based on the results of the previous analysis, design a protocol conversion rule chain to effectively process and convert data;

[0011] S5. Implementation and integration: According to the designed rule chain, implement the corresponding software or configuration, integrate it into the monitoring system of the smart substation, and verify the function and performance of the rule chain;

[0012] S6, Testing and Optimization: Conduct system-level and unit-level tests to verify the accuracy and stability of the protocol conversion rule chain, and make necessary optimizations and adjustments based on the test results;

[0013] S7. Deployment and maintenance: Once the rule chain has passed the test and is deployed to the production environment, a monitoring and logging mechanism is established to regularly maintain and update the rule chain;

[0014] S8. Security and compliance assurance: Always consider data security and compliance issues throughout the entire construction and operation process.

[0015] It should be noted in the solution that step three includes protocol analysis, data format conversion, data cleaning and data integration.

[0016] It is further worth noting that the step 4 includes the following steps:

[0017] S41, Protocol parsing and encapsulation: Write code or configure software to implement parsing and encapsulation functions of different communication protocols;

[0018] S42. Data format conversion: Develop or configure data format converters to convert data in different formats into a format acceptable to the target system;

[0019] S43. Data cleaning and verification: Implement data cleaning and verification strategies, filter invalid data and ensure data integrity and accuracy, and detect errors or losses during data transmission;

[0020] S44. Exception handling and alarms: Design exception handling mechanisms and alarm systems to respond to and handle data anomalies in a timely manner.

[0021] It should be further explained that step six includes end-to-end testing, stress testing and abnormal situation testing of the data flow.

[0022] As a preferred implementation, step eight runs through steps one to seven.

[0023] As a preferred implementation, the following modules are included:

[0024] Data acquisition module;

[0025] Protocol conversion block;

[0026] Data storage and management module;

[0027] Real-time processing and analysis module;

[0028] Security and permission control module;

[0029] Monitoring and reporting module;

[0030] Integration and expansion modules.

[0031] As a preferred implementation, the data acquisition module includes data source access and data format analysis.

[0032] As a preferred implementation, the security and authority control module includes data encryption and secure transmission.

[0033] Compared with the prior art, the method for constructing a protocol conversion rule chain for a monitoring system of a smart substation provided by the present invention has at least the following beneficial effects:

[0034] (1) By setting up and constructing a protocol conversion rule chain for the smart substation monitoring system, data in various formats can be uniformly converted into a unified internal data format, which helps to simplify the data processing and analysis process, making the entire monitoring system more transparent and easy to manage, helping to achieve data interoperability between different subsystems, and making the system more integrated and coordinated; at the same time, it can optimize the data processing process, making data more efficient and accurate in collection, transmission, storage and analysis, avoiding information delays and inconsistencies, and reducing the risk of human errors and system failures in data processing through standardized and unified data processing, thereby improving the safety and reliability of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] The present invention will be further described below in conjunction with the embodiments.

[0038] See also Figure 1 The present invention provides a method for constructing a monitoring system protocol conversion rule chain for a smart substation, comprising the following steps:

[0039] S1. Determine requirements and scope: First, clarify the monitoring requirements and system scope of the smart substation, determine the equipment, system and data types that need to be monitored, and the communication protocols and data formats used by various devices;

[0040] S2. Analyze existing equipment and systems: Collect and analyze the equipment and systems deployed in smart substations, including sensors, controllers, SCADA systems, etc., and record the communication protocols, data formats, and data transmission characteristics and requirements used by each device;

[0041] S3. Determine data flow and conversion system: define the flow of data from source to target and clarify the data conversion requirements;

[0042] S4. Design a protocol conversion rule chain: Based on the results of the previous analysis, design a protocol conversion rule chain to effectively process and convert data;

[0043] S5. Implementation and integration: According to the designed rule chain, implement the corresponding software or configuration, integrate it into the monitoring system of the smart substation, and verify the function and performance of the rule chain;

[0044] S6, Testing and Optimization: Conduct system-level and unit-level tests to verify the accuracy and stability of the protocol conversion rule chain, and make necessary optimizations and adjustments based on the test results;

[0045] S7. Deployment and maintenance: Once the rule chain has passed the test and is deployed to the production environment, a monitoring and logging mechanism is established to regularly maintain and update the rule chain;

[0046] S8. Security and compliance assurance: Always consider data security and compliance issues throughout the entire construction and operation process.

[0047] Further as Figure 1As shown, it is worth mentioning that step three includes protocol analysis, data format conversion, data cleaning and data integration. The role of protocol analysis is to identify and analyze the communication protocols used by different devices or systems to correctly understand the structure and meaning of the data. It can unify the data of different devices and manufacturers into a common format, simplify subsequent data processing and integration, ensure that the data is correctly interpreted and processed, avoid data analysis errors caused by protocol differences, support the rapid integration of new protocols in the future, and maintain the flexibility and scalability of the system.

[0048] The role of data format conversion is to convert the data from protocol parsing into the standardized format required within the system, ensuring that all data is stored and processed in a consistent format, simplifying data management and analysis in the system, optimizing the data processing process, enabling data to be used for analysis, reporting and decision support more quickly, ensuring that data is compatible with existing and future analysis tools and systems, and reducing integration and upgrade costs;

[0049] The role of data cleaning is to improve data quality by removing erroneous data, filling missing values ​​and standardizing data formats, reducing noise and errors in data, making it more reliable and trustworthy, reducing analytical errors caused by incomplete or erroneous data, enhancing the accuracy of decision-making, reducing duplication of work and data repair costs, and improving data processing efficiency;

[0050] The role of data integration is to integrate the cleaned and converted data into a unified system to support comprehensive data analysis and decision-making, provide an overall data view, help analysts and decision makers better understand the substation operation status and trends, support real-time data update and monitoring, enable operation and maintenance personnel to respond and adjust quickly, make more accurate predictions and optimize decisions based on comprehensive data integration, and improve the efficiency and safety of substations; these steps work together on the intelligent substation monitoring system, from data collection to final analysis and decision-making, to ensure the integrity, accuracy and real-time nature of the data, and improve the efficiency and effectiveness of substation operation management.

[0051] Further as Figure 1 As shown, it is worth noting that step 4 includes the following steps:

[0052] S41, Protocol parsing and encapsulation: Write code or configure software to implement parsing and encapsulation functions of different communication protocols. You can use specialized protocol parsing libraries or software modules to process Modbus, DNP3, IEC 61850 and other protocols;

[0053] S42. Data format conversion: Develop or configure data format converters to convert data in different formats into a format acceptable to the target system, involving conversion between different data formats such as binary, ASCII, XML, JSON, etc.

[0054] S43. Data cleaning and verification: Implement data cleaning and verification strategies to filter invalid data and ensure data integrity and accuracy, and detect errors or losses during data transmission, including the application of verification and algorithms;

[0055] S44. Exception handling and alarm: Design an exception handling mechanism and alarm system to promptly respond to and handle data anomalies, such as data delay, loss or format error, etc. Through the coordination of the above steps, the overall performance and effect of the smart substation monitoring system can be significantly improved, ensuring the data quality and reliability from data collection to final application.

[0056] Further as Figure 1 As shown, it is worth noting that step six includes end-to-end testing, stress testing, and abnormal situation testing of data flows.

[0057] End-to-end testing can verify the performance of the entire protocol conversion rule chain in actual operation, from data collection to final processing and storage, ensuring that data can be correctly transmitted and processed at each step to avoid data loss or damage at any link;

[0058] Stress testing can simulate data processing capabilities under high load conditions and verify the system's performance when the amount of data increases significantly or when requests are frequent. This type of testing can help determine the system's performance limits and assess whether it is necessary to optimize processing speed or increase resources to support larger data flows.

[0059] Abnormal situation testing includes simulating possible abnormal data, abnormal requests or system failures to verify the system's ability to respond to these situations. Through these tests, the system's performance under abnormal conditions can be discovered early, the processing flow can be optimized, and the system's fault tolerance and reliability can be improved. They ensure that the system can operate stably and efficiently process data under various operating conditions, and has good fault tolerance and scalability, thereby ensuring the reliability and continuous operation of the entire system.

[0060] Further as Figure 1As shown, it is worth specifying that step eight runs through steps one to seven. Security considerations ensure that data is properly encrypted and protected during data transmission, storage and processing to prevent unauthorized access or data leakage, because smart substation monitoring involves a large amount of real-time data, and its security is directly related to the stability of system operation and the privacy protection of user data; compliance considerations ensure that system design and operation comply with applicable laws, regulations and industry standards, such as data protection regulations (such as GDPR, CCPA, etc.) and relevant standards of the power industry, which helps to avoid possible legal liabilities and fines and enhance the trust of the system in the industry; integrating security and compliance considerations into every step of the protocol conversion rule chain of the smart substation monitoring system can significantly improve the overall quality and credibility of the system, protect the security of user data and system operation, and at the same time comply with laws and regulations and industry standards, laying a solid foundation for the long-term success and sustainable development of the system.

[0061] Further as Figure 1 As shown, it is worth mentioning that the following modules are included:

[0062] Data acquisition module: responsible for collecting data from different devices, sensors or systems. These data can come from various types of monitoring devices, such as current, voltage, temperature sensors, etc., parsing data from different data sources and converting them into a unified internal data format, which helps to unify the rules and logic of subsequent processing;

[0063] Protocol conversion block: Identifies the communication protocol and data format used by each data source, which can be a standard protocol such as MODBUS, DNP3, or a manufacturer-defined protocol. Based on the results of protocol identification, it applies predefined conversion rules to convert the raw data into a standardized or unified data format;

[0064] Data storage and management module: Store the converted data in a suitable data storage system, such as a relational database, time series database, or data lake, and manage the data life cycle, including data cleaning, deduplication, backup, recovery, and other operations to ensure data integrity and availability;

[0065] Real-time processing and analysis module: applies predefined real-time processing rules to real-time data, such as anomaly detection, threshold-triggered alarms, etc., applies data analysis algorithms and models to extract patterns, trends and anomalies in the data, and supports intelligent decision-making and predictive analysis;

[0066] Security and permission control module: ensures the security of data during collection, conversion and transmission, adopts encryption and secure transmission protocols, defines and manages user access rights to data, and ensures that only authorized users can access specific data and functions;

[0067] Monitoring and reporting module: monitors the performance and status of data collection, conversion and storage, promptly discovers and solves problems, generates regular or event-driven reports, and provides information such as system operation status, data quality and trend analysis;

[0068] Integration and expansion module: Integrate with other smart substation systems and third-party applications to achieve data exchange and function expansion. It adopts modular design and open interface to support flexible expansion and upgrade of the system.

[0069] Further as Figure 1 As shown, it is worth mentioning that the data acquisition module includes data source access and data format parsing. Data source access ensures that data can be stably acquired from various data sources, ensures the reliability and timeliness of data transmission, thereby avoiding data loss or delay, and ensuring that the monitoring system can acquire data in real time and accurately; data format parsing is responsible for parsing and converting the original data transmitted by different data sources to make it conform to the unified data format and standards within the system. Through the unified data format, the system can more easily understand and process data from different sources, thereby simplifying the subsequent data processing and analysis process, and also improving the scalability of the system, reducing operation and maintenance costs, and enhancing the security and privacy protection capabilities of the system, providing a solid foundation for the effective operation and management of smart substations.

[0070] Further as Figure 1 As shown, it is worth mentioning that the security and permission control module includes data encryption and secure transmission. Data encryption can ensure that the data content is encrypted during data transmission and storage. Even if the data is obtained by unauthorized personnel or malicious attackers, their content cannot be interpreted. This is particularly important for the monitoring data of smart substations, because these data may contain key operating information and equipment status, and leakage may lead to security risks and privacy violations; through secure transmission mechanisms, such as the Secure Sockets Layer (SSL / TLS) protocol, ensure that the data is not tampered with or intercepted during transmission. This mechanism effectively prevents man-in-the-middle attacks and data theft by encrypting the communication channel and using digital certificates to verify the identities of both parties in communication, effectively preventing potential security incidents, avoiding business interruptions and losses caused by them, and ensuring the continuous and stable operation of smart substations.

[0071] In summary: by setting up and building a protocol conversion rule chain for the smart substation monitoring system, data in various formats can be uniformly converted into a unified internal data format, which helps to simplify the data processing and analysis process, making the entire monitoring system more transparent and easy to manage, and helping to achieve data interoperability between different subsystems, making the system more integrated and coordinated; at the same time, it can optimize the data processing process, making data more efficient and accurate in collection, transmission, storage and analysis, avoiding information delays and inconsistencies, and reducing the risk of human errors and system failures in data processing through standardized and unified data processing, thereby improving the safety and reliability of the entire system.

[0072] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for constructing a protocol conversion rule chain for a monitoring system of a smart substation, characterized in that: The following steps are involved: Step 1: First, clarify the monitoring requirements and system scope of the smart substation, determine the equipment, system and data types that need to be monitored, as well as the communication protocols and data formats used by various devices; Step 2: Collect and analyze the deployed equipment and systems in the smart substation, including sensors, controllers, SCADA systems, etc., and record the communication protocols, data formats, and data transmission characteristics and requirements used by each device; Step 3: Define the flow of data from source to target and clarify the data conversion requirements; Step 4: Based on the results of the previous analysis, design a protocol conversion rule chain to effectively process and convert data; Step 5: Implement the corresponding software or configuration according to the designed rule chain, integrate it into the monitoring system of the smart substation, and verify the function and performance of the rule chain; Step 6: Conduct system-level and unit-level tests to verify the accuracy and stability of the protocol conversion rule chain, and make necessary optimizations and adjustments based on the test results; Step 7: Once the rule chain has passed the test and is deployed to the production environment, establish a monitoring and logging mechanism to regularly maintain and update the rule chain; Step 8. Always consider data security and compliance issues throughout the entire build and operation process.

2. The method for constructing a protocol conversion rule chain for a monitoring system of a smart substation according to claim 1, characterized in that: The step three includes protocol analysis, data format conversion, data cleaning and data integration.

3. The method for constructing a protocol conversion rule chain for a monitoring system of a smart substation according to claim 1, characterized in that: The step 4 comprises the following steps: Step 1: Write code or configure software to implement parsing and encapsulation functions of different communication protocols; Step 2: Develop or configure a data format converter to convert data in different formats into a format acceptable to the target system; Step 3: Implement data cleaning and verification strategies to filter invalid data and ensure data integrity and accuracy, and detect errors or losses during data transmission; Step 4: Design an exception handling mechanism and alarm system to respond and handle data anomalies in a timely manner.

4. The method for constructing a protocol conversion rule chain for a monitoring system of a smart substation according to claim 1, characterized in that: The step six includes end-to-end testing, stress testing and abnormal situation testing of the data flow.

5. The method for constructing a protocol conversion rule chain for a monitoring system of a smart substation according to claim 1, characterized in that: The step eight runs through steps one to seven.

6. The method for constructing a protocol conversion rule chain for a monitoring system of a smart substation according to claim 1, characterized in that: include: Data acquisition module, protocol conversion block, data storage and management module, real-time processing and analysis module, security and authority control module, monitoring and reporting module and integration and expansion module.

7. The method for constructing a protocol conversion rule chain for a monitoring system of a smart substation according to claim 6, characterized in that: The data acquisition module includes data source access and data format analysis, and the security and authority control module includes data encryption and secure transmission.

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