Switch control adjusting system in gas system

Abstract

The invention relates to the technical field of fuel gas system adjusting systems, and provides a switch control adjusting system in a fuel gas system, which integrates a server end, a controller end, an equipment end, a background control end and an operator mobile terminal, realizes cooperative work of all the ends, accurately adjusts the fuel gas system, and improves the adjustment accuracy of the fuel gas system through a deep learning model. The system can predict the optimal switch equipment adjusting parameters, the accuracy of prediction is verified through a digital twinborn simulation system, in addition, real-time operation data are combined, the model is continuously optimized to ensure that the adjusting error is within the preset range, the problems of instability and large error after gas switch adjustment are effectively solved, and the method is suitable for popularization and application. The operation efficiency and safety of the gas system are remarkably improved, and comprehensive analysis of multi-source data, construction of a deep learning model, real-time simulation and error evaluation and continuous optimization of the model are further achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of gas system regulating systems, and in particular to a switch control regulating system in a gas system. Background Art

[0002] With the advancement of science and technology, the switch control and regulation technology in the gas system is also constantly innovating. At present, automation and intelligent technology have been widely used in the switch control and regulation technology in the gas system. For example, the application of moving coil electromagnetic linear actuators enables high-pressure and large-flow gas regulating valves to respond quickly and have high positioning accuracy. In addition, PLC controller technology also plays an important role in the automatic control system of gas stations, realizing the precise control of key parameters such as gas pressure and concentration. The development of switch control and regulation technology in the gas system provides strong support for the safe, stable and efficient operation of the gas system.

[0003] Under the existing technology, the switch control and regulation of the gas system is mainly achieved through automation equipment and intelligent control systems. Automation equipment such as moving coil electromagnetic linear actuators can directly drive the gas regulating valve to quickly and effectively adjust the gas flow according to actual needs. At the same time, through the control algorithm, the requirements of displacement control accuracy are achieved and the performance of the regulating valve is improved. The intelligent control system uses PLC and other technologies to monitor and control the key parameters of the gas station in real time, such as the oil intake of the light hydrocarbon oil in the gasification tank and the air intake, to ensure the stability of the gas concentration and pressure, thereby ensuring the safety and reliability of the gas supply system.

[0004] Although the existing technology has achieved remarkable results in the switch control and regulation of gas systems, the following technical pain points still exist: although automation and intelligent technologies have improved the control accuracy and response speed of gas systems, with the increase in gas demand, there is still instability after switch adjustment in the gas system, and there is a large error between the operation status after adjustment and the actual demand. Therefore, in the switch control and regulation technology of the gas system, continuous innovation and optimization are still needed to solve the technical pain points of the switch control and regulation system in the gas system. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a switch control and regulation system in a gas system to solve the problem that as the gas demand increases, the switch in the gas system is still unstable after adjustment and there is a large error between the adjusted operating conditions and the actual demand.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0007] The switch control and regulation system in the gas system provided by the present invention comprises: a server end, a controller end, a device end, a background control end and an operator mobile terminal, the server end establishes a communication connection with the controller end, the device end, the background control end and the operator mobile terminal, the server end analyzes and processes the data transmitted by the controller end, the device end, the background control end and the operator mobile terminal, the controller end receives the data of the server end, parses the data transmitted by the server end, generates a control and regulation command and sends it to the device end, and the device end executes the control and regulation command;

[0008] Data acquisition unit: acquires gas system operation data, gas system equipment data and regulation demand data. The gas system operation data includes gas flow data, pressure data, temperature data and gas concentration data. The gas system equipment data includes pressure regulating equipment data, valve equipment data, switch equipment data and sensor data. The regulation demand data includes background control terminal data and operator mobile terminal data. The regulation demand data includes switch equipment regulation information and switch regulation standard error range;

[0009] Equipment detection unit: detects the gas system operation data and the gas system equipment data, obtains the gas system operation data and the gas system equipment data detection results, selects valid data from the gas system operation data and the gas system equipment data detection results as the gas system valid data, pre-processes the regulation demand data and extracts features, and obtains the regulation demand data features;

[0010] Model building unit: retrieve the historical data of switch control regulation in the gas system, and train the deep learning model in combination with the effective data of the gas system and the characteristics of the regulation demand data to obtain the switch control regulation model in the gas system;

[0011] Real-time simulation unit: Substitute the regulation demand data into the switch control regulation model in the gas system to obtain the regulation parameters of the switch equipment in the gas system, substitute the regulation parameters of the switch equipment in the gas system into the digital twin simulation system to obtain the switch equipment regulation simulation results, compare the equipment regulation simulation results with the switch equipment regulation parameters in the gas system to obtain the switch equipment regulation error;

[0012] Model optimization unit: collects real-time operation data of the gas system and real-time equipment data of the gas system, optimizes the switch control regulation model in the gas system through the real-time operation data of the gas system and the real-time equipment data of the gas system and the regulation error of the switch equipment, and obtains the optimized switch control regulation model in the gas system;

[0013] Control adjustment command generation unit: Substitute the adjustment demand data into the switch control adjustment model in the optimized gas system to obtain the real-time switch device adjustment data, compare the real-time switch device adjustment data with the switch device adjustment simulation result, and obtain the real-time adjustment error of the switch device. If the real-time adjustment error of the switch device is less than the standard error range of the switch adjustment, a control adjustment command is generated.

[0014] Furthermore, the switch control and regulation system in the gas system provided by the present invention, the control and regulation command generating unit, also includes:

[0015] If the real-time adjustment error of the switching device is greater than the standard error range of the switching adjustment, the real-time adjustment error of the switching device will be obtained and the switch control adjustment model in the gas system will continue to be optimized through the model optimization unit. When the real-time adjustment error of the switching device is within the standard error range of the switch adjustment, the optimization of the switch control adjustment model in the gas system through the model optimization unit will be stopped.

[0016] Furthermore, the switch control and regulation system and the equipment detection unit in the gas system provided by the present invention further include:

[0017] The equipment detection unit detects abnormal values ​​of the gas system operation data and the gas system equipment data, and checks the integrity of the gas system operation data and the gas system equipment data, obtains the preliminary detection results of the equipment detection unit, and selects valid data from the preliminary detection results of the equipment detection unit;

[0018] The equipment detection unit preprocesses and extracts features of the adjustment demand data to obtain features of the adjustment demand data;

[0019] The equipment detection unit outputs the gas system effective data and regulation demand data characteristics to the real-time simulation unit, the model optimization unit and the control regulation command generation unit.

[0020] Furthermore, the switch control and regulation system in the gas system provided by the present invention, the model building unit, includes:

[0021] The historical data is retrieved from the database as the training basis, and the model is trained in combination with the data features of the effective data and regulation demand data of the gas system obtained in real time. The model parameters are adjusted through multiple rounds of iterative training to improve the prediction accuracy of the model. Through training, the model learns the switch control regulation rules of the gas system and obtains the switch control regulation model in the gas system.

[0022] The regulation demand data is substituted into the switch control regulation model in the gas system to obtain the simulated switch device regulation parameters, and the simulation results are obtained through the digital twin simulation system. The simulation results are compared with the predicted parameters to calculate the regulation error.

[0023] Furthermore, the switch control and regulation system in the gas system provided by the present invention, the real-time simulation unit, comprises:

[0024] Establishing simulation data processing partitions, the simulation data processing partitions include a first simulation data processing partition, a second simulation data processing partition and a third simulation data processing partition;

[0025] The first simulation data processing partition is set at the controller end, the second simulation data processing partition is set at the server end, and the third simulation data processing partition is set at the background control end;

[0026] Substituting the adjustment demand data into the first simulation data processing partition, the second simulation data processing partition and the third simulation data processing partition to obtain a first simulation result, a second simulation result and a third simulation result;

[0027] The first simulation result, the second simulation result and the third simulation result are compared. If the first simulation result, the second simulation result and the third simulation result are the same, the first simulation result is used as the adjustment parameter of the switch device in the gas system.

[0028] Furthermore, the switch control and regulation system in the gas system provided by the present invention, the model optimization unit, includes: if the first simulation result, the second simulation result and the third simulation result are different, then the consistency of the switch control and regulation model in the gas system in the server side, the controller side and the background control side is detected; if the switch control and regulation model in the gas system in the server side, the controller side and the background control side is inconsistent, then the switch control and regulation model in the gas system on the server side is used as the model in use, and the switch control and regulation model in the gas system in the controller side and the background control side is replaced.

[0029] Furthermore, the switch control and regulation system in the gas system provided by the present invention, the model optimization unit, comprises:

[0030] The model optimization unit collects real-time operation data of the gas system, including gas flow, pressure, temperature and gas concentration. The model optimization unit also collects real-time equipment information of the gas system, including data of pressure regulating equipment, valves, switches and sensors.

[0031] Input the collected real-time data and equipment information into the switch control adjustment model of the current gas system, calculate the expected switch equipment adjustment parameters through the switch control adjustment model in the gas system, compare the parameters with the actual switch equipment status, and calculate the real-time adjustment error;

[0032] The current model is optimized by using the collected real-time data and the calculated regulation error through the back propagation algorithm. During the optimization process, the parameters of the switch control regulation model in the gas system are adjusted according to the results of the error back propagation.

[0033] After the switch control regulation model in the gas system is iteratively optimized, the optimized switch control regulation model in the gas system is output;

[0034] Use new real-time data to verify the optimized switch control regulation model in the gas system, and check the prediction accuracy of the switch control regulation model in the gas system. If the error of the switch control regulation model in the optimized gas system is greater than the standard error range of switch regulation, it is necessary to continue to collect new real-time data and continue to optimize the switch control regulation model in the gas system through the model optimization unit until the model meets the predetermined standard error range of switch regulation.

[0035] Beneficial effects of the present invention:

[0036] The present invention can improve the regulation accuracy and stability. Through deep learning technology and real-time data collection and analysis, it can accurately predict and control the regulation parameters of the switch equipment in the gas system, thereby effectively solving the problems of instability and large errors after regulation.

[0037] The present invention enhances the intelligence level of the system, utilizes multi-source data acquisition, real-time simulation and model optimization, enables the system to autonomously learn and optimize control strategies, and reduces the need for manual intervention.

[0038] The present invention improves the safety and reliability of the system through error control and automatic optimization mechanism, and can automatically trigger model optimization when the adjustment error exceeds the range to avoid safety hazards.

[0039] The present invention realizes multi-terminal collaborative work, and improves response speed and decision-making ability through the collaboration of a server end, a controller end, a device end, a background control end, and an operator's mobile terminal.

[0040] The application of digital twin technology enables the system to make predictions and verifications without affecting actual operations, improving the accuracy and predictability of adjustments.

[0041] The system architecture of the present invention is flexible in design, easy to expand and modify, and can adapt to gas systems of different sizes and complexities.

[0042] The present invention solves the technical problems of switch control and regulation in the gas system through innovative technical means, significantly improves the overall efficiency and safety of the gas system, and promotes the intelligent progress of the gas industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0044] Figure 1 A schematic diagram of the model optimization unit method flow chart provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. 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. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0046] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0047] The present invention provides a switch control and regulation system in a gas system, comprising: a server end, a controller end, a device end, a background control end and an operator mobile terminal, the server end establishes a communication connection with the controller end, the device end, the background control end and the operator mobile terminal, the server end analyzes and processes data transmitted by the controller end, the device end, the background control end and the operator mobile terminal, the controller end receives data from the server end, parses the data transmitted by the server end, generates a control and regulation command and sends it to the device end, and the device end executes the control and regulation command;

[0048] Data acquisition unit: acquires gas system operation data, gas system equipment data and regulation demand data. The gas system operation data includes gas flow data, pressure data, temperature data and gas concentration data. The gas system equipment data includes pressure regulating equipment data, valve equipment data, switch equipment data and sensor data. The regulation demand data includes background control terminal data and operator mobile terminal data. The regulation demand data includes switch equipment regulation information and switch regulation standard error range;

[0049] The data acquisition unit acquires various types of data to ensure that the system can make decisions based on comprehensive information.

[0050] Gas system operation data: gas flow, pressure, temperature and gas concentration, etc. These data reflect the real-time operating status of the gas system.

[0051] Gas system equipment data: Information about pressure regulating equipment, valves, switches and sensors, which provide detailed feedback on the status and working conditions of the equipment.

[0052] Adjustment demand data: It comes from the background control end and the operator's mobile terminal, including switch device adjustment information and switch adjustment standard error range, which provides goals and constraints for system adjustment.

[0053] Based on these data, the data acquisition unit provides comprehensive information support for the on / off control and adjustment of the gas system, thereby ensuring the accuracy and effectiveness of the adjustment.

[0054] Equipment detection unit: detects the gas system operation data and the gas system equipment data, obtains the gas system operation data and the gas system equipment data detection results, selects valid data from the gas system operation data and the gas system equipment data detection results as the gas system valid data, pre-processes the regulation demand data and extracts features, and obtains the regulation demand data features;

[0055] The equipment detection unit conducts a comprehensive test on the gas system operation data and the gas system equipment data to ensure the accuracy and reliability of the data. Through the detection process, the equipment detection unit can obtain the detection results of the gas system operation data and the equipment data, and filter out the valid data. The valid data is regarded as the valid data of the gas system, which provides an important basis for subsequent analysis and decision-making.

[0056] In addition, the equipment detection unit also preprocesses and extracts features of the adjustment demand data to identify and extract key information features, namely, the adjustment demand data features, which helps the system understand the adjustment demand more accurately and provide strong data support for subsequent switch control adjustment.

[0057] In general, the equipment detection unit has laid a solid data foundation for the switch control and regulation of the gas system by improving the accuracy, reliability and effectiveness of the data.

[0058] Model building unit: retrieve the historical data of switch control regulation in the gas system, and train the deep learning model in combination with the effective data of the gas system and the characteristics of the regulation demand data to obtain the switch control regulation model in the gas system;

[0059] The function of the model building unit is to use historical data and real-time data to build and optimize the switch control regulation model. The following is the specific workflow of the model building unit:

[0060] The model building unit retrieves historical data of switch control adjustment in the gas system, which includes past adjustment records, system responses, and related operating parameters, to provide experience information for model training;

[0061] The model building unit combines the gas system's effective data and regulation demand data characteristics to train the model. The gas system's effective data is screened and verified by the equipment detection unit and can truly reflect the current state of the system. The regulation demand data characteristics capture the demand characteristics of users or system automatic adjustments, which helps the model better understand and respond to demand.

[0062] During the training process, the deep learning model learns how to predict the optimal switch control parameters based on the current gas system status and regulation requirements. Through continuous iteration and optimization, the accuracy and efficiency of the prediction can be gradually improved.

[0063] The model building unit outputs a trained switch control regulation model in the gas system, which can quickly and accurately generate switch control parameters according to real-time system data and regulation requirements, thereby ensuring stable operation and efficient regulation of the gas system.

[0064] The model building unit not only improves the intelligence level of the gas system, but also improves the system's regulation accuracy and response speed, providing a strong guarantee for the safe, stable and efficient operation of the gas system.

[0065] Real-time simulation unit: Substitute the regulation demand data into the switch control regulation model in the gas system to obtain the regulation parameters of the switch equipment in the gas system, substitute the regulation parameters of the switch equipment in the gas system into the digital twin simulation system to obtain the switch equipment regulation simulation results, compare the equipment regulation simulation results with the switch equipment regulation parameters in the gas system to obtain the switch equipment regulation error;

[0066] The main workflow and functions of the real-time simulation unit in the gas system are as follows:

[0067] Substituting regulation demand data: First, the real-time simulation unit will substitute the regulation demand data into the previously trained switch control regulation model in the gas system. The regulation demand data may come from the background control end or the operator's mobile terminal, reflecting the actual regulation demand.

[0068] Generate switchgear regulation parameters: Based on the input regulation demand data, the model calculates the regulation parameters of the switchgear in the gas system. These parameters are optimized according to the current system status and regulation objectives, aiming to achieve stable and efficient operation of the gas system.

[0069] The real-time simulation unit substitutes the calculated switchgear adjustment parameters into the digital twin simulation system. The digital twin simulation system is a virtual gas system environment that can simulate the operation and response of the actual system. In this way, the effect of the adjustment parameters can be predicted and verified without affecting the actual system operation.

[0070] Obtain equipment adjustment simulation results: After running in the digital twin simulation system, the simulation results of the switch equipment adjustment are obtained, which reflects the possible operating status and effect of the gas system if it is operated according to the calculated adjustment parameters.

[0071] The real-time simulation unit will compare the equipment adjustment simulation results with the original switch equipment adjustment parameters. Through the comparison, the error of the switch equipment adjustment can be calculated. The error reflects the difference between the model prediction and the actual simulation results.

[0072] If the error is large, it means that the prediction accuracy of the model needs to be improved, or there are other unknown factors that affect the operation of the system. Based on this error value, the system can further adjust and optimize the switch control regulation model to improve its prediction accuracy and regulation effect.

[0073] Model optimization unit: collects real-time operation data of the gas system and real-time equipment data of the gas system, optimizes the switch control regulation model in the gas system through the real-time operation data of the gas system and the real-time equipment data of the gas system and the regulation error of the switch equipment, and obtains the optimized switch control regulation model in the gas system;

[0074] The workflow and functions of the model optimization unit are as follows:

[0075] The model optimization unit collects real-time operating data and equipment data of the gas system, including operating parameters such as gas flow, pressure, temperature, concentration, and status information of pressure regulating equipment, valves, switches and other equipment. These data can reflect the latest operating status and equipment performance of the gas system.

[0076] The collected real-time data will be integrated and correlated with the previous switchgear regulation errors. The regulation errors are obtained from the real-time simulation unit, which reflects the difference between the model prediction and the actual operation. By comparing the real-time data and the regulation errors, the model optimization unit can identify areas where the model prediction is inaccurate or the system performance is degraded.

[0077] Based on the above analysis, the model optimization unit will adjust and optimize the switch control regulation model in the gas system, including updating the model parameters, improving the algorithm logic or introducing new variables to better reflect the real-time characteristics of the system. The goal of the optimization is to reduce the difference between the model prediction and the actual operation and improve the accuracy and efficiency of the switch control.

[0078] After optimization, the model optimization unit will output a new switch control adjustment model in the gas system. The optimized model will be used for subsequent switch control adjustment to ensure the stable operation and efficient performance of the gas system.

[0079] Through continuous data collection, analysis and model optimization, the model optimization unit can continuously improve the accuracy and response speed of switch control in the gas system, thereby ensuring the safe, stable and efficient operation of the system. The dynamic optimization process enables the gas system to adapt to the ever-changing operating environment and needs, and improve the overall system performance.

[0080] Control adjustment command generation unit: Substitute the adjustment demand data into the switch control adjustment model in the optimized gas system to obtain the real-time switch device adjustment data, compare the real-time switch device adjustment data with the switch device adjustment simulation result, and obtain the real-time adjustment error of the switch device. If the real-time adjustment error of the switch device is less than the standard error range of the switch adjustment, a control adjustment command is generated.

[0081] The workflow and functions of the control and regulation command generation unit are described in detail as follows:

[0082] The control regulation command generation unit will substitute the regulation demand data into the switch control regulation model in the optimized gas system. The regulation demand data reflects the specific regulation requirements that need to be made to the gas system at present.

[0083] Based on the input regulation demand data, the optimized model quickly calculates the real-time switch device regulation data. These data are derived based on the current system status, regulation demand and the model's optimization algorithm to achieve accurate and efficient switch control.

[0084] The control adjustment command generation unit compares the real-time switch device adjustment data with the previous switch device adjustment simulation results, in order to calculate the real-time adjustment error of the switch device, that is, the difference between the adjustment data calculated by the model and the actual simulation results.

[0085] The control adjustment command generation unit determines whether the calculated real-time adjustment error is less than the preset switch adjustment standard error range. If the error is less than the standard range, it means that the model's prediction is consistent with the actual simulation result and the adjustment data is accurate. A control adjustment command is generated, which will guide the switch equipment in the gas system to perform corresponding adjustment operations.

[0086] If the real-time adjustment error exceeds the standard error range, further model optimization or data verification is required to ensure the accuracy of the adjustment. The control adjustment command generation unit not only ensures the accuracy of the adjustment, but also improves the stability and safety of the gas system.

[0087] The control and regulation command generation unit provides accurate and timely regulation instructions for the switchgear in the gas system through calculation and judgment, thus ensuring the efficient and stable operation of the system.

[0088] Specifically, the switch control and regulation system in the gas system provided by the present invention, the control and regulation command generating unit, also includes:

[0089] If the real-time adjustment error of the switching device is greater than the standard error range of the switching adjustment, the real-time adjustment error of the switching device will be obtained and the switch control adjustment model in the gas system will continue to be optimized through the model optimization unit. When the real-time adjustment error of the switching device is within the standard error range of the switch adjustment, the optimization of the switch control adjustment model in the gas system through the model optimization unit will be stopped.

[0090] Specifically, the switch control and regulation system and the equipment detection unit in the gas system provided by the present invention also include:

[0091] The equipment detection unit detects abnormal values ​​of the gas system operation data and the gas system equipment data, and checks the integrity of the gas system operation data and the gas system equipment data, obtains the preliminary detection results of the equipment detection unit, and selects valid data from the preliminary detection results of the equipment detection unit;

[0092] The equipment detection unit preprocesses and extracts features of the adjustment demand data to obtain features of the adjustment demand data;

[0093] The equipment detection unit outputs the gas system effective data and regulation demand data characteristics to the real-time simulation unit, the model optimization unit and the control regulation command generation unit.

[0094] Specifically, the switch control and regulation system in the gas system provided by the present invention, the model building unit, includes:

[0095] The historical data is retrieved from the database as the training basis, and the model is trained in combination with the data features of the effective data and regulation demand data of the gas system obtained in real time. The model parameters are adjusted through multiple rounds of iterative training to improve the prediction accuracy of the model. Through training, the model learns the switch control regulation rules of the gas system and obtains the switch control regulation model in the gas system.

[0096] The regulation demand data is substituted into the switch control regulation model in the gas system to obtain the simulated switch device regulation parameters, and the simulation results are obtained through the digital twin simulation system. The simulation results are compared with the predicted parameters to calculate the regulation error.

[0097] Specifically, the switch control and regulation system in the gas system provided by the present invention, the real-time simulation unit, includes:

[0098] Establishing simulation data processing partitions, the simulation data processing partitions include a first simulation data processing partition, a second simulation data processing partition and a third simulation data processing partition;

[0099] The first simulation data processing partition is set at the controller end, the second simulation data processing partition is set at the server end, and the third simulation data processing partition is set at the background control end;

[0100] Substituting the adjustment demand data into the first simulation data processing partition, the second simulation data processing partition and the third simulation data processing partition to obtain a first simulation result, a second simulation result and a third simulation result;

[0101] The first simulation result, the second simulation result and the third simulation result are compared. If the first simulation result, the second simulation result and the third simulation result are the same, the first simulation result is used as the adjustment parameter of the switch device in the gas system.

[0102] Specifically, the switch control and regulation system in the gas system provided by the present invention, the model optimization unit, includes: if the first simulation result, the second simulation result and the third simulation result are different, then the consistency of the switch control and regulation model in the gas system in the server side, the controller side and the background control side is detected; if the switch control and regulation model in the gas system in the server side, the controller side and the background control side is inconsistent, then the switch control and regulation model in the gas system on the server side is used as the model in use, and the switch control and regulation model in the gas system in the controller side and the background control side is replaced.

[0103] Specifically, the switch control and regulation system in the gas system provided by the present invention, the model optimization unit, includes:

[0104] The model optimization unit collects real-time operation data of the gas system, including gas flow, pressure, temperature and gas concentration. The model optimization unit also collects real-time equipment information of the gas system, including data of pressure regulating equipment, valves, switches and sensors.

[0105] Input the collected real-time data and equipment information into the switch control adjustment model of the current gas system, calculate the expected switch equipment adjustment parameters through the switch control adjustment model in the gas system, compare the parameters with the actual switch equipment status, and calculate the real-time adjustment error;

[0106] The current model is optimized by using the collected real-time data and the calculated regulation error through the back propagation algorithm. During the optimization process, the parameters of the switch control regulation model in the gas system are adjusted according to the results of the error back propagation.

[0107] After the switch control regulation model in the gas system is iteratively optimized, the optimized switch control regulation model in the gas system is output;

[0108] Use new real-time data to verify the optimized switch control regulation model in the gas system, and check the prediction accuracy of the switch control regulation model in the gas system. If the error of the switch control regulation model in the optimized gas system is greater than the standard error range of switch regulation, it is necessary to continue to collect new real-time data and continue to optimize the switch control regulation model in the gas system through the model optimization unit until the model meets the predetermined standard error range of switch regulation.

[0109] The present invention effectively solves the problems of instability and large error after switch adjustment in the gas system. The specific implementation method includes:

[0110] Multi-source data acquisition and analysis: The system first comprehensively collects gas system operation data, equipment data and regulation demand data through the data acquisition unit, providing a comprehensive information basis for decision-making.

[0111] Data detection and screening: The equipment detection unit further detects outliers and integrity of the data to ensure that only valid data is used for analysis and decision-making, thereby improving the accuracy and reliability of the data.

[0112] Deep learning model construction: Using historical data and real-time data, combined with deep learning technology, a model was built that can learn the switch control and regulation rules of the gas system.

[0113] Real-time simulation and error assessment: The real-time simulation unit substitutes the adjustment demand data into the model and compares it with the results of the digital twin simulation system to evaluate the adjustment error and ensure the accuracy of the adjustment parameters.

[0114] Continuous model optimization: The model optimization unit uses real-time operation and equipment data to continuously optimize model parameters, so that the model can maintain high accuracy under different gas demands.

[0115] Strict error control: The control adjustment command generation unit will only generate a control adjustment command when the adjustment error is less than the preset range, which ensures the stability and accuracy of the adjustment result.

[0116] Multi-simulation partition verification: By setting up multiple simulation data processing partitions and performing consistency verification of multi-partition simulation results, the robustness of simulation results is improved.

[0117] Automatic optimization mechanism: If the adjustment error exceeds the range, the system will automatically trigger the model optimization process until the error meets the requirements.

[0118] Multi-terminal collaborative work: The system's response speed and decision-making ability are improved through the collaborative work of the server, controller, device, background control and operator's mobile terminal.

[0119] Application of digital twin technology: Through the digital twin simulation system, virtual mapping and simulation of the actual gas system are realized, which improves the accuracy and predictability of system regulation.

[0120] The switch control and regulation system in the gas system provided by the present invention effectively solves the problems of instability and large errors after switch regulation in the gas system, thereby improving the overall operating efficiency and safety of the gas system.

[0121] In summary, the specific implementation of the present invention effectively solves the key problems in existing offshore rocket launches and networking communications through innovative system architecture and workflow design, and makes important contributions to technological progress in related fields.

[0122] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-mentioned embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A switch control and regulation system in a gas system, characterized in that: include: The server side, the controller side, the device side, the background control side and the operator's mobile terminal, the server side establishes a communication connection with the controller side, the device side, the background control side and the operator's mobile terminal, the server side analyzes and processes the data transmitted by the controller side, the device side, the background control side and the operator's mobile terminal, the controller side receives the data from the server side, parses the data transmitted by the server side, generates a control and adjustment command and sends it to the device side, and the device side executes the control and adjustment command; Data acquisition unit: acquires gas system operation data, gas system equipment data and regulation demand data. The gas system operation data includes gas flow data, pressure data, temperature data and gas concentration data. The gas system equipment data includes pressure regulating equipment data, valve equipment data, switch equipment data and sensor data. The regulation demand data includes background control terminal data and operator mobile terminal data. The regulation demand data includes switch equipment regulation information and switch regulation standard error range; Equipment detection unit: detects the gas system operation data and the gas system equipment data, obtains the gas system operation data and the gas system equipment data detection results, selects valid data from the gas system operation data and the gas system equipment data detection results as the gas system valid data, pre-processes the regulation demand data and extracts features, and obtains the regulation demand data features; Model building unit: retrieve the historical data of switch control regulation in the gas system, and train the deep learning model in combination with the effective data of the gas system and the characteristics of the regulation demand data to obtain the switch control regulation model in the gas system; Real-time simulation unit: Substitute the regulation demand data into the switch control regulation model in the gas system to obtain the regulation parameters of the switch equipment in the gas system, substitute the regulation parameters of the switch equipment in the gas system into the digital twin simulation system to obtain the switch equipment regulation simulation results, compare the equipment regulation simulation results with the switch equipment regulation parameters in the gas system to obtain the switch equipment regulation error; Model optimization unit: collects real-time operation data of the gas system and real-time equipment data of the gas system, optimizes the switch control regulation model in the gas system through the real-time operation data of the gas system and the real-time equipment data of the gas system and the regulation error of the switch equipment, and obtains the optimized switch control regulation model in the gas system; Control adjustment command generation unit: Substitute the adjustment demand data into the switch control adjustment model in the optimized gas system to obtain the real-time switch device adjustment data, compare the real-time switch device adjustment data with the switch device adjustment simulation result, and obtain the real-time adjustment error of the switch device. If the real-time adjustment error of the switch device is less than the standard error range of the switch adjustment, a control adjustment command is generated.

2. The switch control and regulation system in the gas system according to claim 1, characterized in that: The control adjustment command generating unit also includes: If the real-time adjustment error of the switching device is greater than the standard error range of the switching adjustment, the real-time adjustment error of the switching device will be obtained and the switch control adjustment model in the gas system will continue to be optimized through the model optimization unit. When the real-time adjustment error of the switching device is within the standard error range of the switch adjustment, the optimization of the switch control adjustment model in the gas system through the model optimization unit will be stopped.

3. The switch control and regulation system in the gas system according to claim 1, characterized in that: The device detection unit also includes: The equipment detection unit detects abnormal values ​​of the gas system operation data and the gas system equipment data, and checks the integrity of the gas system operation data and the gas system equipment data, obtains the preliminary detection results of the equipment detection unit, and selects valid data from the preliminary detection results of the equipment detection unit; The equipment detection unit preprocesses and extracts features of the adjustment demand data to obtain features of the adjustment demand data; The equipment detection unit outputs the gas system effective data and regulation demand data characteristics to the real-time simulation unit, the model optimization unit and the control regulation command generation unit.

4. The switch control and regulation system in the gas system according to claim 1, characterized in that: Model building unit, including: The historical data is retrieved from the database as the training basis, and the model is trained in combination with the data features of the effective data and regulation demand data of the gas system obtained in real time. The model parameters are adjusted through multiple rounds of iterative training to improve the prediction accuracy of the model. Through training, the model learns the switch control regulation rules of the gas system and obtains the switch control regulation model in the gas system. The regulation demand data is substituted into the switch control regulation model in the gas system to obtain the simulated switch device regulation parameters, and the simulation results are obtained through the digital twin simulation system. The simulation results are compared with the predicted parameters to calculate the regulation error.

5. The switch control and regulation system in the gas system according to claim 1, characterized in that: Real-time simulation unit, including: Establishing simulation data processing partitions, the simulation data processing partitions include a first simulation data processing partition, a second simulation data processing partition and a third simulation data processing partition; The first simulation data processing partition is set at the controller end, the second simulation data processing partition is set at the server end, and the third simulation data processing partition is set at the background control end; Substituting the adjustment demand data into the first simulation data processing partition, the second simulation data processing partition and the third simulation data processing partition to obtain a first simulation result, a second simulation result and a third simulation result; The first simulation result, the second simulation result and the third simulation result are compared. If the first simulation result, the second simulation result and the third simulation result are the same, the first simulation result is used as the adjustment parameter of the switch device in the gas system.

6. The switch control and regulation system in the gas system according to claim 1, characterized in that: The model optimization unit includes: if the first simulation result, the second simulation result and the third simulation result are different, then the consistency of the switch control adjustment model in the gas system in the server side, the controller side and the background control side is detected; if the switch control adjustment model in the gas system in the server side, the controller side and the background control side is inconsistent, then the switch control adjustment model in the gas system on the server side is used as the model in use, and the switch control adjustment model in the gas system in the controller side and the background control side is replaced.

7. The switch control and regulation system in the gas system according to claim 1, characterized in that: Model optimization unit, including: The model optimization unit collects real-time operation data of the gas system, including gas flow, pressure, temperature and gas concentration. The model optimization unit also collects real-time equipment information of the gas system, including data of pressure regulating equipment, valves, switches and sensors. Input the collected real-time data and equipment information into the switch control adjustment model of the current gas system, calculate the expected switch equipment adjustment parameters through the switch control adjustment model in the gas system, compare the parameters with the actual switch equipment status, and calculate the real-time adjustment error; The current model is optimized by using the collected real-time data and the calculated regulation error through the back propagation algorithm. During the optimization process, the parameters of the switch control regulation model in the gas system are adjusted according to the result of the error back propagation. After the switch control regulation model in the gas system is iteratively optimized, the optimized switch control regulation model in the gas system is output; Use new real-time data to verify the optimized switch control regulation model in the gas system, and check the prediction accuracy of the switch control regulation model in the gas system. If the error of the switch control regulation model in the optimized gas system is greater than the standard error range of switch regulation, it is necessary to continue to collect new real-time data and continue to optimize the switch control regulation model in the gas system through the model optimization unit until the model meets the predetermined standard error range of switch regulation.

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