Closed-loop linkage control system and control method for upstream and downstream well stations

Abstract

The invention relates to the field of well station control systems, in particular to a closed-loop linkage control system and method for upstream and downstream well stations. The technical problems that in the prior art, an upstream and downstream well station control system lacks comprehensive application of intelligent equipment and an automation technology, so that the system cannot achieve automatic control in part of links, and the operation parameters are monitored by adopting a manual inspection or timing sampling mode, so that the response speed to the change of the operation condition is slow, and the operation efficiency is low are solved. Linkage control among links is difficult to realize; according to the technical scheme, the upstream and downstream well station closed-loop linkage control system comprises a data acquisition module, a data analysis module, a process adjustment module and a feedback module; a closed-loop control system is formed through links of real-time data acquisition, deviation detection, control decision, execution feedback and the like, a closed-loop linkage control real-time data acquisition and quick response mechanism is adopted, system deviation can be found and processed in time, and it is ensured that the system stably operates within a preset target range.

Description

Technical Field

[0001] This invention relates to the field of well station control systems, and more particularly to a closed-loop linkage control system and control method for upstream and downstream well stations. Background Technology

[0002] Upstream and downstream well station control systems are a crucial part of oil and gas field development and production. They encompass the entire process from oil or gas well extraction to oil and gas gathering, processing, and distribution. This system mainly includes multiple levels such as well stations (oil well stations and gas well stations), monitoring centers, and dispatch centers. Through advanced industrial control technologies and information transmission methods, it achieves precise control and efficient management of the oil and gas field production process. However, current upstream and downstream well station control systems lack the comprehensive application of intelligent equipment and automation technologies, making it impossible to achieve automated control in some aspects of the system. Furthermore, traditional well station control systems often use manual inspections or timed sampling to monitor operating parameters. This approach results in a slow response speed to changes in operating conditions, making it difficult to achieve coordinated control between various links. Summary of the Invention

[0003] To overcome the lack of intelligent equipment and comprehensive application of automation technology in the existing upstream and downstream well station control systems, which makes it impossible to achieve automated control in some aspects of the system, and the fact that traditional well station control systems often use manual inspection or timed sampling to monitor operating parameters, the system's response speed to changes in operating conditions is slow, making it difficult to achieve linkage control between various aspects.

[0004] The technical solution of this invention is: a closed-loop linkage control system for upstream and downstream well stations, comprising: The data acquisition module is used to collect various operating parameters of the well station in real time using multiple sets of sensors and transmit them to the data analysis module. The data analysis module is used to compare and analyze the collected actual operating parameters with preset expected values ​​or safety thresholds to detect whether there are any deviations. The process adjustment module is used to calculate the control quantity based on the magnitude and nature of the deviation using an intelligent algorithm, and then send the control command to the corresponding actuator through the communication network. The actuator adjusts the process parameters or equipment status according to the control command to eliminate the deviation. The feedback module is used to compare the adjusted well station operating parameters and equipment status information with the expected values ​​again, and work in conjunction with the process adjustment module to repeatedly adjust for any deviations in order to establish a closed-loop feedback mechanism.

[0005] Preferably, the data acquisition module includes digital skid-mounted equipment, inspection robots, inspection drones, and moving equipment status monitoring sensors. The digital skid-mounted equipment is used to collect real-time data on the equipment's operating status, process parameters, and fault information through a built-in PLC control system. The inspection robot is used to inspect equipment along a preset track or autonomous path, while the inspection drone is used to inspect key areas from the air. Both the inspection robot and the inspection drone are equipped with sensors such as high-definition cameras and infrared thermal imagers to collect data on the equipment's appearance, temperature, and vibration. Moving equipment status monitoring sensors are installed on key moving equipment to monitor the equipment's operating status and performance parameters in real time, and the data is transmitted to the central control room for centralized processing.

[0006] Preferably, the data analysis module is used to receive data collected in real time from the data acquisition module, and to process and analyze the collected data using control algorithms and data analysis techniques. The actual operating parameters collected are compared with preset expected values ​​or safety thresholds to detect whether there is a deviation. If there is a deviation, the process adjustment module is then used for control operations.

[0007] Preferably, the data analysis module includes the following steps when it is working: S101: Receives data parameters collected from field equipment such as digital skid-mounted equipment, inspection robots, and inspection drones via wireless transmission, including key operating parameters such as pressure, temperature, flow rate, vibration, and rotational speed, as well as equipment status information; S102: Remove invalid data such as noise and outliers from the data, convert data from different sources into a unified format, and standardize the data as needed to eliminate the impact of dimensional differences on the analysis results; S103: Based on factors such as production process requirements, equipment performance parameters, and historical operating data, statistical analysis methods are used to determine the expected values, and the expected values ​​of various operating parameters are determined comprehensively. S104: Based on factors such as system characteristics, safety requirements, and economic benefits, upper and lower thresholds shall be set using fixed values, percentages, or dynamic adjustment methods. S105: Compare the preprocessed actual operating parameters with the preset expected values ​​one by one to obtain the deviation value of each parameter. The deviation value can be the difference or relative value between the actual value and the expected value. S106: Calculate the percentage deviation based on the deviation value calculation formula. The percentage deviation value calculation formula is as follows: Deviation percentage = (Actual value - Expected value) / Expected value * 100%; S107: Compare the calculated deviation value with the preset threshold; determine whether the deviation is within an acceptable range; if the deviation exceeds the threshold, it is considered to have a significant deviation; if the deviation is within the threshold range, it is considered to be in a normal state. S108: Classify according to factors such as the nature and magnitude of the deviation; S109: Use databases, log files, or other methods to record information such as deviation values, occurrence times, involved parameters, and deviation classifications; S110: Based on the results of the deviation classification, determine whether it is necessary to enter the control loop; if the deviation is within an acceptable range, it may not be necessary to take control measures immediately; if the deviation exceeds the threshold and meets the conditions of the control strategy, then decide to enter the control loop.

[0008] Preferably, the process adjustment module receives deviation information and performs preliminary analysis to determine whether it falls within the system's tolerable range. If the deviation is small and does not affect the overall stable operation of the system, it may be ignored or recorded for further analysis. If the deviation exceeds a threshold, it enters the detailed evaluation stage. The applicability and effectiveness of various control strategies are comprehensively evaluated through intelligent algorithms, and the optimal or second-best control strategy is selected. The control strategy is then converted into specific control commands, which are sent to the corresponding actuators via a communication network. The actuators adjust their operating status according to the received control commands.

[0009] Preferably, the process adjustment module includes the following steps during operation: S201: Receive deviation information, including deviation value, deviation type, and location of occurrence; S202: First, conduct a preliminary analysis of the deviation to determine whether it falls within the system's tolerable range; if the deviation is small and does not affect the overall stable operation of the system, it may be ignored or recorded for subsequent analysis; if the deviation exceeds the threshold, proceed to the detailed evaluation stage. S203: Nature, magnitude, and urgency of output deviation; S204: Based on the results of deviation analysis and evaluation, combined with information such as the current operating status of the system, historical data, and expert knowledge base, the applicability and effectiveness of various control strategies are comprehensively evaluated through fuzzy logic algorithms, and the optimal or suboptimal control strategy is selected. S205: Determine the specific control strategy, including parameters such as the magnitude, direction, and duration of the control variable; S206: Based on the selected control strategy and control parameters, the control strategy is converted into specific control instructions, and the instructions are sent to the corresponding actuators through the communication network; the instructions contain detailed information such as the unique identifier of the actuator, the magnitude of the control quantity, and the execution time; S207: The actuator receives control commands; S208: The actuator adjusts its operating status and parameters accordingly based on the received control commands; S209: Output the execution results, including the actual adjustment amount and the adjusted status parameters.

[0010] Preferably, the feedback module receives the execution results and status information of the actuator in the process adjustment module, compares the execution results with the expected target, and verifies whether the control effect meets the requirements. If the deviation has been eliminated or reduced to an acceptable range, the current control state is maintained or fine-tuned and optimized. If the deviation still exists or expands, the steps of deviation analysis, control strategy selection and control command generation are repeated, and the process adjustment module works together to repeatedly adjust for the existing deviation in order to establish a closed-loop feedback mechanism.

[0011] Preferably, the feedback module includes the following steps when it is working: S301: The feedback module receives the execution results and current status information from the actuator in the process adjustment module through the communication network. This information includes, but is not limited to, the adjustment values ​​of process parameters and the equipment operating status. S302: Compare the received execution result with the preset expected target value or security threshold; S303: Calculate the deviation value, that is, the difference between the actual execution result and the expected target value; S304: Based on the magnitude and nature of the deviation, assess whether the control effect meets the requirements; if the deviation has been eliminated or reduced to an acceptable range, i.e., the deviation value is less than the preset tolerance threshold, proceed to the next step; S305: If the deviation value is within the tolerance range, the feedback module will send an instruction to the control center to maintain the current control state or to make fine-tuning optimizations; S306: If the deviation value exceeds the tolerance range, that is, the deviation still exists or increases, the feedback module will trigger the process of re-performing the deviation analysis. S307: Reanalyze the cause of the deviation, which may involve reviewing the original data, considering environmental factors, or further diagnosing the condition of the equipment; S308: Based on the analysis results of the causes of the deviation, select a new control strategy or adjust the parameters of the existing control strategy; S309: Generate new control commands and send them to the actuators in the process adjustment module via the communication network; S310: The actuator adjusts process parameters or changes equipment status according to new control instructions; S311: The feedback module continuously monitors the execution results and status information of the actuator to form a closed-loop feedback mechanism.

[0012] The closed-loop linkage control method for upstream and downstream well stations includes the following steps: S1: Start the data acquisition module and configure multiple sets of sensors to monitor various operating parameters of the well station in real time; S2: The sensing device transmits the collected data to the data analysis module through a preset communication protocol; S3: The data analysis module receives actual operating parameter data from the data acquisition module; S4: Compare the actual operating parameters with the preset expected values ​​or safety thresholds, analyze the data using mathematical or statistical methods, and detect whether there are any deviations, as well as the magnitude and nature of the deviations; S5: If a deviation is detected, record the deviation information and prepare for the next process adjustment; if no deviation is detected, continue monitoring. S6: The process adjustment module calculates the appropriate control quantity based on the magnitude and nature of the deviation using a fuzzy control algorithm; S7: Generate control commands and send them to the corresponding actuators via the communication network; S8: After receiving the control command, the actuator adjusts the process parameters or equipment status in an attempt to eliminate or reduce the deviation; S9: The feedback module collects the adjusted well station operating parameters and equipment status information again; S10: Compare the newly collected data with the expected value to evaluate the adjustment effect; S11: If the deviation has been eliminated or reduced to an acceptable range, maintain the current control state or perform fine-tuning optimization; if the deviation still exists or increases, return to step S4 to re-analyze the deviation, and may modify the control strategy or adjust the control quantity. S12: Through continuous feedback and adjustment, a stable closed-loop feedback mechanism is established to ensure that the well station operating parameters are always kept within the expected range.

[0013] The beneficial effects of this invention are: 1. Compared to existing upstream and downstream well station control systems, which lack comprehensive application of intelligent equipment and automation technology, making it impossible to achieve automated control in some aspects of the system, and traditional well station control systems often use manual inspection or timed sampling to monitor operating parameters, this results in a slow response speed to changes in operating conditions and makes it difficult to achieve linkage control between various links. This system forms a closed-loop control system through real-time data acquisition, deviation detection, control decision-making, and execution feedback. By adopting a closed-loop linkage control real-time data acquisition and rapid response mechanism, it can promptly detect and handle system deviations, ensuring that the system operates stably within the predetermined target range. 2. The data acquisition module is activated, and multiple sets of sensors are configured to monitor various operating parameters of the well station in real time. The sensors transmit the acquired data to the data analysis module via a preset communication protocol. The data analysis module receives the actual operating parameter data from the data acquisition module. It compares the actual operating parameters with preset expected values ​​or safety thresholds, analyzes the data using mathematical or statistical methods, and detects whether there are deviations, as well as the magnitude and nature of the deviations. If a deviation is detected, the deviation information is recorded, and preparations are made for the next step of process adjustment. If no deviation is detected, monitoring continues. The process adjustment module calculates the appropriate control quantity using a fuzzy control algorithm based on the magnitude and nature of the deviation. It generates control commands and sends the commands to the corresponding actuators via the communication network. The actuators receive... Upon receiving control commands, the system adjusts process parameters or equipment status to attempt to eliminate or reduce deviations. The feedback module then re-collects the adjusted well site operating parameters and equipment status information. The newly collected data is compared with the expected values ​​to evaluate the adjustment effect. If the deviation has been eliminated or reduced to an acceptable range, the current control state is maintained or fine-tuned. If the deviation still exists or increases, deviation analysis is performed again, and the control strategy may be modified or the control quantity adjusted. Through continuous feedback and adjustment, a stable closed-loop feedback mechanism is established to ensure that the well site operating parameters always remain within the expected range. This forms a closed-loop control system that uses a closed-loop linkage control real-time data acquisition and rapid response mechanism to promptly detect and handle system deviations, ensuring that the system operates stably within the predetermined target range.

[0014] 3. The PLC control system built into the digital skid-mounted equipment collects the equipment's operating status, process parameters, and fault information in real time; inspection robots conduct equipment inspections along preset tracks or autonomous paths, and inspection drones conduct aerial inspections of key areas; both inspection robots and drones are equipped with high-definition cameras, infrared thermal imagers, and other sensors to collect data on equipment appearance, temperature, vibration, etc.; dynamic equipment status monitoring sensors are installed on key dynamic equipment to monitor the equipment's operating status and performance parameters in real time, and the data is transmitted to the central control room for centralized processing, thereby realizing automated data collection in data monitoring and achieving comprehensive digital and intelligent management of well station equipment. Attached Figure Description

[0015] Figure 1 The diagram shows the steps of the closed-loop linkage control method for upstream and downstream well stations of the present invention. Figure 2 The diagram shows the workflow of the process adjustment module of the upstream and downstream well station closed-loop linkage control system of the present invention. Detailed Implementation

[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0017] Please see Figure 1-2 This invention provides an embodiment of a closed-loop linkage control system for upstream and downstream well stations, comprising: The data acquisition module is used to collect various operating parameters of the well station in real time using multiple sets of sensors and transmit them to the data analysis module. The data analysis module is used to compare and analyze the collected actual operating parameters with preset expected values ​​or safety thresholds to detect whether there are any deviations. The process adjustment module is used to calculate the control quantity based on the magnitude and nature of the deviation using an intelligent algorithm, and then send the control command to the corresponding actuator through the communication network. The actuator adjusts the process parameters or equipment status according to the control command to eliminate the deviation. The feedback module is used to compare the adjusted well station operating parameters and equipment status information with the expected values ​​again, and work in conjunction with the process adjustment module to repeatedly adjust for any deviations in order to establish a closed-loop feedback mechanism.

[0018] Preferably, the data acquisition module includes digital skid-mounted equipment, inspection robots, inspection drones, and moving equipment status monitoring sensors. The digital skid-mounted equipment is used to collect real-time data on the equipment's operating status, process parameters, and fault information through a built-in PLC control system. The inspection robot is used to inspect equipment along a preset track or autonomous path, while the inspection drone is used to inspect key areas from the air. Both the inspection robot and the inspection drone are equipped with sensors such as high-definition cameras and infrared thermal imagers to collect data on the equipment's appearance, temperature, and vibration. Moving equipment status monitoring sensors are installed on key moving equipment to monitor the equipment's operating status and performance parameters in real time, and the data is transmitted to the central control room for centralized processing.

[0019] Preferably, the data analysis module is used to receive data collected in real time from the data acquisition module, and to process and analyze the collected data using control algorithms and data analysis techniques. The actual operating parameters collected are compared with preset expected values ​​or safety thresholds to detect whether there is a deviation. If there is a deviation, the process adjustment module is then used for control operations.

[0020] Preferably, the data analysis module includes the following steps when it is working: S101: Receives data parameters collected from field equipment such as digital skid-mounted equipment, inspection robots, and inspection drones via wireless transmission, including key operating parameters such as pressure, temperature, flow rate, vibration, and rotational speed, as well as equipment status information; S102: Remove invalid data such as noise and outliers from the data, convert data from different sources into a unified format, and standardize the data as needed to eliminate the impact of dimensional differences on the analysis results; S103: Based on factors such as production process requirements, equipment performance parameters, and historical operating data, statistical analysis methods are used to determine the expected values, and the expected values ​​of various operating parameters are determined comprehensively. S104: Based on factors such as system characteristics, safety requirements, and economic benefits, upper and lower thresholds shall be set using fixed values, percentages, or dynamic adjustment methods. S105: Compare the preprocessed actual operating parameters with the preset expected values ​​one by one to obtain the deviation value of each parameter. The deviation value can be the difference or relative value between the actual value and the expected value. S106: Calculate the percentage deviation based on the deviation value calculation formula. The percentage deviation value calculation formula is as follows: Deviation percentage = (Actual value - Expected value) / Expected value * 100%; S107: Compare the calculated deviation value with the preset threshold; determine whether the deviation is within an acceptable range; if the deviation exceeds the threshold, it is considered to have a significant deviation; if the deviation is within the threshold range, it is considered to be in a normal state. S108: Classify according to factors such as the nature and magnitude of the deviation; S109: Use databases, log files, or other methods to record information such as deviation values, occurrence times, involved parameters, and deviation classifications; S110: Based on the results of the deviation classification, determine whether it is necessary to enter the control loop; if the deviation is within an acceptable range, it may not be necessary to take control measures immediately; if the deviation exceeds the threshold and meets the conditions of the control strategy, then decide to enter the control loop.

[0021] Preferably, the process adjustment module receives deviation information and performs preliminary analysis to determine whether it falls within the system's tolerable range. If the deviation is small and does not affect the overall stable operation of the system, it may be ignored or recorded for further analysis. If the deviation exceeds a threshold, it enters the detailed evaluation stage. The applicability and effectiveness of various control strategies are comprehensively evaluated through intelligent algorithms, and the optimal or second-best control strategy is selected. The control strategy is then converted into specific control commands, which are sent to the corresponding actuators via a communication network. The actuators adjust their operating status according to the received control commands.

[0022] Preferably, the process adjustment module includes the following steps during operation: S201: Receive deviation information, including deviation value, deviation type, and location of occurrence; S202: First, conduct a preliminary analysis of the deviation to determine whether it falls within the system's tolerable range; if the deviation is small and does not affect the overall stable operation of the system, it may be ignored or recorded for subsequent analysis; if the deviation exceeds the threshold, proceed to the detailed evaluation stage. S203: Nature, magnitude, and urgency of output deviation; S204: Based on the results of deviation analysis and evaluation, combined with information such as the current operating status of the system, historical data, and expert knowledge base, the applicability and effectiveness of various control strategies are comprehensively evaluated through fuzzy logic algorithms, and the optimal or suboptimal control strategy is selected. S205: Determine the specific control strategy, including parameters such as the magnitude, direction, and duration of the control variable; S206: Based on the selected control strategy and control parameters, the control strategy is converted into specific control instructions, and the instructions are sent to the corresponding actuators through the communication network; the instructions contain detailed information such as the unique identifier of the actuator, the magnitude of the control quantity, and the execution time; S207: The actuator receives control commands; S208: The actuator adjusts its operating status and parameters accordingly based on the received control commands; S209: Output the execution results, including the actual adjustment amount and the adjusted status parameters.

[0023] Preferably, the feedback module receives the execution results and status information of the actuator in the process adjustment module, compares the execution results with the expected target, and verifies whether the control effect meets the requirements. If the deviation has been eliminated or reduced to an acceptable range, the current control state is maintained or fine-tuned and optimized. If the deviation still exists or expands, the steps of deviation analysis, control strategy selection and control command generation are repeated, and the process adjustment module works together to repeatedly adjust for the existing deviation in order to establish a closed-loop feedback mechanism.

[0024] Preferably, the feedback module includes the following steps when it is working: S301: The feedback module receives the execution results and current status information from the actuator in the process adjustment module through the communication network. This information includes, but is not limited to, the adjustment values ​​of process parameters and the equipment operating status. S302: Compare the received execution result with the preset expected target value or security threshold; S303: Calculate the deviation value, that is, the difference between the actual execution result and the expected target value; S304: Based on the magnitude and nature of the deviation, assess whether the control effect meets the requirements; if the deviation has been eliminated or reduced to an acceptable range, i.e., the deviation value is less than the preset tolerance threshold, proceed to the next step; S305: If the deviation value is within the tolerance range, the feedback module will send an instruction to the control center to maintain the current control state or to make fine-tuning optimizations; S306: If the deviation value exceeds the tolerance range, that is, the deviation still exists or increases, the feedback module will trigger the process of re-performing the deviation analysis. S307: Reanalyze the cause of the deviation, which may involve reviewing the original data, considering environmental factors, or further diagnosing the condition of the equipment; S308: Based on the analysis results of the causes of the deviation, select a new control strategy or adjust the parameters of the existing control strategy; S309: Generate new control commands and send them to the actuators in the process adjustment module via the communication network; S310: The actuator adjusts process parameters or changes equipment status according to new control instructions; S311: The feedback module continuously monitors the execution results and status information of the actuator to form a closed-loop feedback mechanism.

[0025] The closed-loop linkage control method for upstream and downstream well stations includes the following steps: S1: Start the data acquisition module and configure multiple sets of sensors to monitor various operating parameters of the well station in real time; S2: The sensing device transmits the collected data to the data analysis module through a preset communication protocol; S3: The data analysis module receives actual operating parameter data from the data acquisition module; S4: Compare the actual operating parameters with the preset expected values ​​or safety thresholds, analyze the data using mathematical or statistical methods, and detect whether there are any deviations, as well as the magnitude and nature of the deviations; S5: If a deviation is detected, record the deviation information and prepare for the next process adjustment; if no deviation is detected, continue monitoring. S6: The process adjustment module calculates the appropriate control quantity based on the magnitude and nature of the deviation using a fuzzy control algorithm; S7: Generate control commands and send them to the corresponding actuators via the communication network; S8: After receiving the control command, the actuator adjusts the process parameters or equipment status in an attempt to eliminate or reduce the deviation; S9: The feedback module collects the adjusted well station operating parameters and equipment status information again; S10: Compare the newly collected data with the expected value to evaluate the adjustment effect; S11: If the deviation has been eliminated or reduced to an acceptable range, maintain the current control state or perform fine-tuning optimization; if the deviation still exists or increases, return to step S4 to re-analyze the deviation, and may modify the control strategy or adjust the control quantity. S12: Through continuous feedback and adjustment, a stable closed-loop feedback mechanism is established to ensure that the well station operating parameters are always kept within the expected range.

[0026] Example 1 Optionally, the digital skid-mounted equipment in the oil and gas field can be set to automatically upload data such as pressure (MPa), temperature (°C), flow rate (m³ / h), vibration (mm / s), and rotational speed (rpm) to the central monitoring system every hour; at the same time, inspection robots and drones will inspect key equipment and pipelines according to preset routes and frequencies, and transmit the collected images, temperature anomalies, and vibration data to the data center in real time. The specifications are as follows: pressure: 10.5 MPa; temperature: 50°C; flow rate: 1200 m³ / h; vibration (pump A): 2.5 mm / s; speed (compressor B): 3000 rpm. The system first identifies and removes obviously abnormal data points (such as a sudden drop in temperature to 0°C, which is obviously unrealistic). Then, it converts all data into a unified format (such as unifying timestamps to UTC) and standardizes parameters such as temperature and flow rate as needed to eliminate unit differences and ensure that all input data is accurate and consistent, which facilitates subsequent analysis.

[0027] Example 2 Optionally, when determining the expected value, reasonable expected values ​​for each parameter can be determined through statistical analysis based on production process standards, equipment performance parameters, and historical operating data. For example, the expected value is set by setting the rotational speed of compressor B to 3000±50 rpm. The expected value is set as follows: rotational speed (compressor B): 3000 rpm; temperature (average): 55°C; flow rate: 1250 m³ / h (considering efficiency loss).

[0028] Example 3 Optionally, when setting thresholds, upper and lower limits for each parameter are set based on safety operating procedures and economic benefit analysis; for example, the upper limit for temperature is set to 65°C to prevent overheating damage; the lower limit for flow rate is set to 1000 m³ / h to ensure production efficiency; the threshold setting results are as follows: Upper temperature limit: 65°C; Lower limit of temperature: 45°C; Traffic limit: No specific setting (based on capacity requirements); Lower flow rate limit: 1000 m³ / h; Vibration limit: 3.5 mm / s; Example 4 Optionally, when calculating and judging the deviation, taking temperature as an example, the actual value is 50°C and the expected value is 55°C, calculate the deviation value and the deviation percentage; Wherein, the deviation value = 50°C - 55°C = -5°C; the deviation percentage = (-5°C / 55°C) * 100% ≈ -9.09%; since the temperature deviation is within the set threshold range (-10°C to +10°C), the current state is considered normal and no immediate intervention is required; Based on factors such as the nature and magnitude of the deviation, the deviations are categorized into "normal fluctuations," "minor anomalies," and "serious anomalies." The current temperature deviation is classified as "normal fluctuation." Information such as the deviation value, occurrence time, involved parameters (temperature), and deviation classification is recorded in the database and log files for subsequent analysis and auditing.

[0029] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

Claims

1. A closed-loop linkage control system for upstream and downstream well stations; characterized in that: Including: The data acquisition module is used to collect various operating parameters of the well station in real time using multiple sets of sensors and transmit them to the data analysis module. The data analysis module is used to compare and analyze the collected actual operating parameters with preset expected values ​​or safety thresholds to detect whether there are any deviations. The process adjustment module is used to calculate the control quantity based on the magnitude and nature of the deviation using an intelligent algorithm, and then send the control command to the corresponding actuator through the communication network. The actuator adjusts the process parameters or equipment status according to the control command to eliminate the deviation. The feedback module is used to compare the adjusted well station operating parameters and equipment status information with the expected values ​​again, and work in conjunction with the process adjustment module to repeatedly adjust for any deviations in order to establish a closed-loop feedback mechanism.

2. The closed-loop linkage control system for upstream and downstream well sites according to claim 1, characterized in that: The data acquisition module includes digital skid-mounted equipment, inspection robots, inspection drones, and dynamic equipment status monitoring sensors. The digital skid-mounted equipment is used to collect the equipment's operating status, process parameters, and fault information in real time through the built-in PLC control system. The inspection robots are used to inspect equipment along preset tracks or autonomous paths, and the inspection drones are used to inspect key areas from the air. Both inspection robots and inspection drones are equipped with sensors such as high-definition cameras and infrared thermal imagers to collect data on equipment appearance, temperature, vibration, etc. The moving equipment status monitoring sensor is installed on key moving equipment to monitor the equipment's operating status and performance parameters in real time, and the data is transmitted to the central control room for centralized processing.

3. The closed-loop linkage control system for upstream and downstream well sites according to claim 2, characterized in that: The data analysis module receives data collected in real time from the data acquisition module, processes and analyzes the collected data using control algorithms and data analysis techniques, compares the collected actual operating parameters with preset expected values ​​or safety thresholds, and detects whether there are any deviations. If a deviation exists, the process adjustment module will be activated for control operations.

4. The closed-loop linkage control system for upstream and downstream well sites according to claim 3, characterized in that: The data analysis module performs the following steps when it is working: S101: Receives data parameters collected from field equipment such as digital skid-mounted equipment, inspection robots, and inspection drones via wireless transmission, including key operating parameters such as pressure, temperature, flow rate, vibration, and rotational speed, as well as equipment status information; S102: Remove invalid data such as noise and outliers from the data, convert data from different sources into a unified format, and standardize the data as needed to eliminate the impact of dimensional differences on the analysis results; S103: Based on factors such as production process requirements, equipment performance parameters, and historical operating data, statistical analysis methods are used to determine the expected values, and the expected values ​​of various operating parameters are determined comprehensively. S104: Based on factors such as system characteristics, safety requirements, and economic benefits, upper and lower thresholds shall be set using fixed values, percentages, or dynamic adjustment methods. S105: Compare the preprocessed actual operating parameters with the preset expected values ​​one by one to obtain the deviation value of each parameter. The deviation value can be the difference or relative value between the actual value and the expected value. S106: Calculate the percentage deviation based on the deviation value calculation formula. The percentage deviation value calculation formula is as follows: Deviation percentage = (Actual value - Expected value) / Expected value * 100%; S107: Compare the calculated deviation value with the preset threshold; determine whether the deviation is within an acceptable range; if the deviation exceeds the threshold, it is considered to have a significant deviation; if the deviation is within the threshold range, it is considered to be in a normal state. S108: Classify according to factors such as the nature and magnitude of the deviation; S109: Use databases, log files, or other methods to record information such as deviation values, occurrence times, involved parameters, and deviation classifications; S110: Based on the results of the deviation classification, determine whether it is necessary to enter the control loop; if the deviation is within an acceptable range, it may not be necessary to take control measures immediately; if the deviation exceeds the threshold and meets the conditions of the control strategy, then decide to enter the control loop.

5. The closed-loop linkage control system for upstream and downstream well sites according to claim 4, characterized in that: The process adjustment module receives deviation information and performs preliminary analysis to determine whether it falls within the system's tolerable range. If the deviation is small and does not affect the overall stable operation of the system, it may be ignored or recorded for further analysis. If the deviation exceeds the threshold, it enters the detailed evaluation stage. The applicability and effectiveness of various control strategies are comprehensively evaluated through intelligent algorithms, and the optimal or second-best control strategy is selected. The control strategy is then converted into specific control commands, which are sent to the corresponding actuators via the communication network. The actuators adjust their operating status according to the received control commands.

6. The closed-loop linkage control system for upstream and downstream well sites according to claim 5, characterized in that: When the process adjustment module is in operation, it includes the following steps: S201: Receive deviation information, including deviation value, deviation type, and location of occurrence; S202: First, conduct a preliminary analysis of the deviation to determine whether it falls within the system's tolerable range; if the deviation is small and does not affect the overall stable operation of the system, it may be ignored or recorded for subsequent analysis; if the deviation exceeds the threshold, proceed to the detailed evaluation stage. S203: Nature, magnitude, and urgency of output deviation; S204: Based on the results of deviation analysis and evaluation, combined with information such as the current operating status of the system, historical data, and expert knowledge base, the applicability and effectiveness of various control strategies are comprehensively evaluated through fuzzy logic algorithms, and the optimal or suboptimal control strategy is selected. S205: Determine the specific control strategy, including parameters such as the magnitude, direction, and duration of the control variable; S206: Based on the selected control strategy and control parameters, the control strategy is converted into specific control instructions, and the instructions are sent to the corresponding actuators through the communication network; the instructions contain detailed information such as the unique identifier of the actuator, the magnitude of the control quantity, and the execution time; S207: The actuator receives control commands; S208: The actuator adjusts its operating status and parameters accordingly based on the received control commands; S209: Output the execution results, including the actual adjustment amount and the adjusted status parameters.

7. The closed-loop linkage control system for upstream and downstream well sites according to claim 6, characterized in that: The feedback module receives the execution results and status information of the actuator in the process adjustment module, compares the execution results with the expected target, and verifies whether the control effect meets the requirements. If the deviation has been eliminated or reduced to an acceptable range, maintain the current control state or make fine-tuning optimizations; If the deviation still exists or increases, the steps of deviation analysis, control strategy selection and control command generation are repeated, and the process adjustment module is linked to repeatedly adjust the existing deviation to establish a closed-loop feedback mechanism.

8. The closed-loop linkage control system for upstream and downstream well sites according to claim 7, characterized in that: The feedback module operates by including the following steps: S301: The feedback module receives the execution results and current status information from the actuator in the process adjustment module through the communication network. This information includes, but is not limited to, the adjustment values ​​of process parameters and the equipment operating status. S302: Compare the received execution result with the preset expected target value or security threshold; S303: Calculate the deviation value, that is, the difference between the actual execution result and the expected target value; S304: Based on the magnitude and nature of the deviation, assess whether the control effect meets the requirements; if the deviation has been eliminated or reduced to an acceptable range, i.e., the deviation value is less than the preset tolerance threshold, proceed to the next step; S305: If the deviation value is within the tolerance range, the feedback module will send an instruction to the control center to maintain the current control state or to make fine-tuning optimizations; S306: If the deviation value exceeds the tolerance range, that is, the deviation still exists or increases, the feedback module will trigger the process of re-performing the deviation analysis. S307: Reanalyze the cause of the deviation, which may involve reviewing the original data, considering environmental factors, or further diagnosing the condition of the equipment; S308: Based on the analysis results of the causes of the deviation, select a new control strategy or adjust the parameters of the existing control strategy; S309: Generate new control commands and send them to the actuators in the process adjustment module via the communication network; S310: The actuator adjusts process parameters or changes equipment status according to new control instructions; S311: The feedback module continuously monitors the execution results and status information of the actuator to form a closed-loop feedback mechanism.

9. A closed-loop linkage control method for upstream and downstream well stations, characterized in that: It includes the following steps: S1: Start the data acquisition module and configure multiple sets of sensors to monitor various operating parameters of the well station in real time; S2: The sensing device transmits the collected data to the data analysis module through a preset communication protocol; S3: The data analysis module receives actual operating parameter data from the data acquisition module; S4: Compare the actual operating parameters with the preset expected values ​​or safety thresholds, analyze the data using mathematical or statistical methods, and detect whether there are any deviations, as well as the magnitude and nature of the deviations; S5: If a deviation is detected, record the deviation information and prepare for the next process adjustment; if no deviation is detected, continue monitoring.

10. The closed-loop linkage control method for upstream and downstream well stations according to claim 9, characterized in that: It also includes the following steps: S6: The process adjustment module calculates the appropriate control quantity based on the magnitude and nature of the deviation using a fuzzy control algorithm; S7: Generate control commands and send them to the corresponding actuators via the communication network; S8: After receiving the control command, the actuator adjusts the process parameters or equipment status in an attempt to eliminate or reduce the deviation; S9: The feedback module collects the adjusted well station operating parameters and equipment status information again; S10: Compare the newly collected data with the expected value to evaluate the adjustment effect; S11: If the deviation has been eliminated or reduced to an acceptable range, maintain the current control state or perform fine-tuning optimization; if the deviation still exists or increases, return to step S4 to re-analyze the deviation, and may modify the control strategy or adjust the control quantity. S12: Through continuous feedback and adjustment, a stable closed-loop feedback mechanism is established to ensure that the well station operating parameters are always kept within the expected range.

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