Oil gas recovery treatment system and oil gas recovery treatment method

Abstract

The invention relates to an oil gas recovery processing system and an oil gas recovery processing method.The oil gas recovery processing system comprises a dynamic sensing module, an intelligent control module and a display and remote monitoring module and aims to optimize the oil gas recovery process through intelligent and automatic means, reduce energy consumption, prolong the service life of equipment and improve the operation efficiency of the system. The system comprises a dynamic sensing module, an intelligent control module and a display and remote monitoring module, real-time transmission and processing of data are achieved through a Modbus 485 communication protocol, and the intelligent control module calculates and automatically adjusts equipment parameters according to the real-time data, such as speed regulation of an induced draft fan and start and stop of a refrigerating unit, effectively controls the load of the system, achieves intelligent start and stop and variable-frequency speed regulation, and improves the working efficiency. By optimizing the running state of the equipment, the energy conservation and emission reduction effects of the oil gas recovery device are improved, the energy use efficiency is improved, manual intervention is remarkably reduced, the equipment failure rate and the maintenance cost are reduced, and wide application prospects are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas recovery, and in particular to an oil and gas recovery processing system and a processing method thereof, which aims to optimize the oil and gas recovery process through intelligent control and automation means, reduce energy consumption, improve system efficiency, extend equipment service life, and realize remote monitoring and control. Background Art

[0002] Most traditional oil and gas recovery devices adopt manual or semi-automatic operation modes. The system often runs continuously at high load for a long time with or without oil pressure. Since the induced draft system and refrigeration compressor unit equipment are in working state for a long time, this not only leads to excessive energy consumption, but also reduces the service life of the equipment, increases the failure rate, and requires special personnel to perform regular maintenance. In addition, traditional systems generally lack an effective human-computer interaction interface, cannot monitor the operating status of the system in real time, and are difficult to link with the upper oil payment system. These problems not only increase the operating costs of the enterprise, but also violate the original intention of energy conservation and emission reduction of the equipment, resulting in unsatisfactory oil and gas recovery effects. Therefore, there is an urgent need for an intelligent, automated and energy-efficient oil and gas recovery system. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides an oil and gas recovery and processing system and an oil and gas recovery and processing method, including a dynamic sensing module, an intelligent control module, and a display and remote monitoring module. Real-time data transmission and processing are achieved through the Modbus 485 communication protocol. The system can monitor the key parameters of oil delivery pressure, temperature, and flow in real time, and automatically adjust the working status of the equipment according to the optimization algorithm. It also has intelligent start and stop, automatic adsorption and desorption switching, fault alarm recording and remote control functions, and can be conveniently linked with the upper oil delivery system to achieve full process monitoring and remote operation of the oil and gas recovery process. This invention not only improves the energy-saving and emission reduction effects of the oil and gas recovery device, but also significantly reduces manual intervention, reduces equipment failure rate and maintenance costs, and has broad application prospects.

[0004] In order to achieve the above-mentioned invention object, the present invention provides the following technical solution: an oil and gas recovery and processing system, comprising the following modules:

[0005] The dynamic sensing module is composed of a high-precision pressure sensor, temperature and flow sensor, Modbus 485 communication interface, and a fault-tolerant mechanism:

[0006] High-precision pressure sensor: The dynamic sensing module is equipped with a high-precision pressure sensor for real-time monitoring of the dynamic pressure of the oil delivery system. The sensor can accurately capture the pressure changes in the system to ensure high-precision data acquisition. By monitoring the pressure, the system can determine whether it is in normal working condition and adjust the equipment operating parameters in time to avoid the impact of abnormal pressure on the equipment. In addition, the high precision of the pressure sensor can provide the system with reliable operating data, help the intelligent control module make accurate decisions, and ensure the optimal operation of the equipment.

[0007] Temperature and flow sensors: The dynamic sensing module also includes temperature and flow sensors, which are used to monitor the operating environment temperature of the oil and gas recovery system and the dynamic flow of oil and gas respectively. These two parameters are very critical to the operation of the oil and gas recovery system, because changes in temperature and flow directly affect the efficiency of oil and gas recovery. The temperature sensor monitors the ambient temperature in real time to ensure that the system operates within an appropriate temperature range. The flow sensor is used to detect the oil and gas flow to ensure the stability of the oil and gas flow during the recovery process and prevent the recovery efficiency from being reduced due to flow fluctuations.

[0008] Modbus 485 communication interface: In order to ensure that the data collected by the sensor can be transmitted to the intelligent control module in a timely and accurate manner, the dynamic sensing module is equipped with a Modbus 485 communication interface. This communication interface supports long-distance and multi-node communication, can realize data transmission of multiple sensors, and ensure efficient data transmission through serial communication protocol. The Modbus485 protocol has been widely used in industrial automation systems and has good anti-interference ability, which can ensure stable data transmission in complex industrial environments.

[0009] Fault-tolerant mechanism: In order to ensure the safety and stability of the system, the dynamic perception module is also designed with a fault-tolerant mechanism. When abnormal sensor data or communication failure is detected, the module can promptly send out an alarm signal to prompt the user to deal with the abnormal situation. In addition, when a failure occurs, the system will automatically switch to the backup data channel to continue collecting and transmitting data, thereby avoiding a single point failure that causes the entire system to collapse. This fault-tolerant mechanism improves the reliability of the system, ensures uninterrupted data during the oil and gas recovery process, and can continuously provide stable operating data.

[0010] The intelligent control module consists of a core controller, an intelligent variable frequency speed regulation unit for the induced draft fan, an automatic start and stop unit for the refrigeration unit, and an automatic adsorption and desorption switching unit:

[0011] Core controller: Runs the optimization algorithm based on the data collected by the sensor in real time, and adjusts the system's operating parameters based on the calculation results. The core controller runs the optimization algorithm internally and dynamically adjusts the system based on the following formula:

[0012] Peff =k1·ΔP+k2·T env -k3·R flow ;

[0013] Among them, P eff is the effective operating pressure after the system is dynamically adjusted, ΔP is the real-time pressure difference, T env is the ambient temperature, R flow is the current traffic, k1, k2, and k3 are optimization coefficients, which are dynamically updated through the machine learning model;

[0014] The purpose of this algorithm is to ensure efficiency and energy saving in the oil and gas recovery process by adjusting the effective operating pressure of the system in real time to achieve the optimal operating state. The optimization coefficients k1, k2, and k3 are continuously adjusted through machine learning over time to cope with environmental changes and optimize the performance of the algorithm.

[0015] Intelligent variable frequency speed regulation unit for induced draft fan: According to the instructions output by the core controller, the fan speed is adjusted in real time to dynamically control the air volume. The adjustment of air volume can directly affect the efficiency of oil and gas recovery and the energy consumption of equipment. By adjusting the fan speed, it can be operated under different loads, thereby reducing energy waste. The intelligent adjustment of the induced draft fan can automatically adapt to the operating environment according to changes in system requirements, reduce energy consumption, and improve equipment reliability.

[0016] Refrigeration unit automatic start and stop unit: The refrigeration unit is a key device used to reduce the oil and gas temperature in the oil and gas recovery system. The refrigeration unit automatic start and stop unit accurately controls the start and stop status of the refrigeration unit according to the system's heat load requirements. When the system temperature reaches the set value, the refrigeration unit automatically stops working; when the temperature exceeds the preset range, the refrigeration unit is automatically enabled to quickly restore to the appropriate operating temperature. Through this precise start and stop control, excessive operation of the refrigeration unit is avoided, energy is saved and the service life of the equipment is extended.

[0017] Automatic adsorption and desorption switching unit: The automatic adsorption and desorption switching unit consists of a solenoid valve and a logic controller, which is responsible for automatically switching the working state of the adsorption carbon canister. During the oil and gas recovery process, the adsorption carbon canister will go through two stages of adsorption and desorption. The recovery efficiency can be improved by adjusting these processes. During the adsorption process, the unit can automatically switch to the desorption state when the set conditions are met, thereby reducing the idling time of the equipment, improving work efficiency, and effectively extending the service life of the adsorbent. Through intelligent control, the system can minimize human intervention and improve the overall oil and gas recovery efficiency.

[0018] The display and remote monitoring module consists of a dynamic simulation display unit, an operation recording unit, and a remote control unit:

[0019] Dynamic simulation display unit: A three-dimensional dynamic simulation animation interface is constructed through configuration software to display the entire oil and gas recovery process in real time. The unit can dynamically display the real-time speed of the induced draft fan, the working status of the adsorption carbon canister and the key parameters of the system operating pressure, and provide users with intuitive operating status feedback through visualization. In order to ensure the accuracy and comprehensiveness of the displayed information, the unit uses the following optimization algorithms to process the real-time monitoring data:

[0020] S opt =α1·V fan +α2·P sys +α3·C ads -β·T fault ;

[0021] Among them, S opt Indicates the system comprehensive display optimization score, V fan is the real-time speed of the induced draft fan, P sys is the system operating pressure, C ads Score the working status of the adsorption canister, T fault is the current fault duration, α1, α2, α3 are the weight factors of each parameter, and β is the fault penalty factor. The above weights and penalty factors are dynamically adjusted by machine learning modeling of historical operation data and current environmental conditions to ensure that the optimization score accurately reflects the overall operation status of the system. The optimization score S calculated in real time opt As the core parameter of dynamic display, it provides operators with an accurate and intuitive basis for comprehensive evaluation of system operation. At the same time, the unit integrates a user interaction interface to support operation parameter adjustment and data analysis, which facilitates optimized system management and troubleshooting.

[0022] Operation recording unit: The operation recording unit is responsible for storing the main operating parameters and historical fault information of the system as visual data charts, which are convenient for users to view and analyze at any time. Through this unit, the system can record and store important real-time data during operation, including temperature, pressure, flow, and generate trend charts, so that operators can intuitively understand the operation of the system in different time periods. This unit also supports multi-condition retrieval analysis. Users can filter data according to specific parameter conditions and perform detailed fault diagnosis and performance evaluation. In addition, the operation recording unit also provides data export function, allowing users to export historical data to external devices or cloud platforms for long-term data archiving and analysis.

[0023] Remote control unit: The remote control unit is connected to the upper oil payment system through an Ethernet module to realize remote start and stop operations, real-time parameter adjustment and remote data analysis. The unit allows remote operators to fully control the oil and gas recovery system. No matter where the operator is located, the system can be monitored and parameters adjusted in real time through remote terminal equipment. Through remote start and stop operations, the operating status of system equipment can be adjusted according to real-time working conditions, resource allocation can be optimized and energy waste can be reduced. The remote data analysis function allows operators to obtain data reports and analysis results of system operation at any time, discover potential problems in time and take corresponding maintenance measures.

[0024] An oil and gas recovery and processing method comprises the following steps:

[0025] Step 1: Use the dynamic sensing module to collect key parameters in the system in real time and obtain three types of data: pressure, temperature, and flow rate during system operation;

[0026] Step 2: After receiving the real-time data, the core controller uses the built-in optimization algorithm to perform weighted calculations on the pressure difference, ambient temperature and flow parameters to determine the optimal operating pressure of the system and generate corresponding control instructions;

[0027] Step 3: The intelligent variable frequency speed regulating unit of the induced draft fan adjusts the fan speed in real time according to the control command to match the pressure and flow required by the system;

[0028] Step 4: The display and remote monitoring module displays the operating status of the system through a dynamic simulation display unit and provides a three-dimensional animation simulation of the oil and gas recovery process.

[0029] Preferably, in step one, the dynamic sensing module integrates high-precision pressure sensors, temperature sensors and flow sensors. Each sensor is installed at a key position of the system to collect real-time operation data. The high-precision pressure sensor is arranged at a key node of the oil and gas recovery pipeline to monitor the pressure changes in the system in real time and output the measurement results in the form of digital signals. The temperature sensor is used to monitor the system environment and the oil and gas operating temperature. It is arranged at the inlet and outlet of the system to capture the dynamic data of temperature changes. The flow sensor is installed in the main oil and gas loop to detect the real-time data of oil and gas flow to ensure the comprehensiveness of dynamic monitoring. The data collected by all sensors are preliminarily processed by the multi-sensor fusion algorithm inside the dynamic sensing module. The fusion algorithm comprehensively considers the measurement data of different sensors and eliminates the errors existing in the measurement of a single sensor, thereby improving the accuracy of the overall monitoring. The processed data is transmitted to the intelligent control module via the Modbus 485 communication protocol. Modbus The 485 protocol supports long-distance transmission and can achieve stable and efficient data transmission between sensors and control modules. In addition, the protocol supports multi-node parallel communication, allowing multiple sensors to upload data at the same time, meeting the system's requirements for real-time and high efficiency. During data transmission, the built-in fault-tolerant mechanism of the dynamic perception module will monitor and verify the transmitted data in real time. When a communication failure or data abnormality is detected, the module immediately sends a fault signal and starts the backup channel to retransmit the data, thereby ensuring the integrity and continuity of data transmission. Ultimately, these high-precision, real-time transmitted data are passed to the intelligent control module to provide reliable basic data support for subsequent optimization algorithm operation and system parameter adjustment. Through this multi-dimensional parameter monitoring and data transmission solution, the system can ensure the accuracy and stability of its operation.

[0030] Preferably, in step 2, the core controller receives real-time data transmitted by the dynamic sensing module, including the pressure difference ΔP, the ambient temperature T env and the current flow R flow , and calculates and controls the system operation status based on the built-in optimization algorithm. The core controller has a built-in high-performance processor and storage unit, which can receive and process multi-dimensional parameter data from the sensor in real time. The core controller first uses the formula P eff =k1·ΔP+k2·T env -k3·R flow Calculate the effective operating pressure P of the current system eff , where the optimization coefficients k1, k2, and k3 are updated in real time by the machine learning model embedded in the core controller. These coefficients are dynamically adjusted based on the system's historical operating data, real-time feedback information, and environmental changes to ensure that the calculation results can accurately reflect the current system's operating requirements. The core controller uses an optimization algorithm to perform weighted calculations on the pressure difference, ambient temperature, and flow data to generate the Peff The value is used to characterize the optimal operating state of the system. After completing the calculation, the core controller immediately generates control instructions and outputs the instructions to related equipment. For the induced draft fan, the core controller calculates the P value. eff The core controller adjusts the operating parameters of the intelligent variable frequency speed regulation unit of the induced draft fan according to the calculated values, and controls the fan speed in real time to ensure accurate matching of the air volume. For the refrigeration unit, the core controller determines whether the refrigeration function needs to be enabled based on the calculation results, and accurately controls the start and stop status and operating time of the refrigeration unit to meet the heat load requirements; for the adsorption and desorption device, the core controller outputs control signals to the solenoid valve and logic controller based on the calculated parameters and real-time oil and gas concentration data to achieve automatic switching between adsorption and desorption states. During the whole process, the core controller and each device achieve efficient transmission of data and instructions through a high-speed communication bus. The control system makes real-time adjustments with a response speed of milliseconds to ensure that the system operation is always in the optimal state. In addition, while adjusting, the core controller records the operating status and adjustment parameters of each device to the storage unit for further optimization of the machine learning model, so that the optimization algorithm can adapt to different working conditions, providing guarantee for the long-term stable and efficient operation of the system.

[0031] Preferably, in step three, the intelligent variable frequency speed regulation unit of the induced draft fan uses the pressure and flow data monitored in real time by the system and the built-in variable frequency control algorithm to accurately adjust the speed of the induced draft fan. The unit collects the pressure sensor and flow sensor data in real time, transmits them to the core controller for analysis, and calculates the fan speed value suitable for the current operating state. The system's built-in closed-loop control mechanism continuously monitors the operating state of the fan and automatically adjusts the fan speed to always keep it within the optimal range to meet operating requirements and effectively control energy consumption. The start-stop control unit of the refrigeration unit performs intelligent management according to the heat load demand of the system and determines in real time whether the refrigeration function needs to be enabled. The unit comprehensively evaluates the heat load condition by monitoring the ambient temperature, system pressure and other relevant parameters. The optimal start-up time and operating time of the refrigeration unit are calculated based on the optimization algorithm. The core controller controls the operating status of the refrigeration unit based on the calculation results to ensure that the equipment works on demand, thereby avoiding energy waste caused by long-term ineffective operation of the equipment. The adsorption-desorption switching unit generates a control signal through the core controller based on the real-time monitored oil and gas concentration and recovery efficiency, and outputs it to the solenoid valve and logic controller to automatically complete the switching operation between the adsorption and desorption states. The unit dynamically adjusts the working state of the adsorbent through continuous collection and analysis of sensor data to ensure that the adsorbent is always at the best working efficiency during the oil and gas recovery process. The entire switching process does not require manual intervention, and the logic controller completes the precise switching of the working state, thereby ensuring the stable operation of the system and high recovery efficiency.

[0032] Preferably, in step 4, the display and remote monitoring module realizes real-time display of the system operation status through a dynamic simulation display unit. The unit uses configuration software to dynamically simulate the entire oil and gas recovery process in the form of three-dimensional animation, and intuitively displays the key operating parameters of the system, including the real-time speed of the induced draft fan, the working status of the adsorption carbon canister, and the system operating pressure. These parameters are monitored in real time by sensors and displayed on the user interface after being processed by the optimization algorithm. In order to more accurately reflect the operating status of the system, the dynamic simulation display unit comprehensively processes the real-time monitoring data through the following optimization algorithm:

[0033] S opt =α1·V fan +α2·P sys +α3·C ads -β·T fault ;

[0034] Among them, S opt Indicates the system comprehensive display optimization score, V fan is the real-time speed of the induced draft fan, P sys is the system operating pressure, C ads Score the working status of the adsorption canister, T fault is the current fault duration, α1, α2, α3 are the weight factors of each parameter, and β is the fault penalty factor. The above weights and penalty factors are dynamically adjusted through machine learning modeling of historical operation data and current environmental conditions to ensure that the optimization score accurately reflects the overall operation status of the system.

[0035] In addition, the dynamic simulation display unit has a real-time fault alarm function. When the system detects an abnormal state, the unit will automatically trigger an alarm prompt and generate a detailed fault log, recording relevant information for users to review. Through the remote control function, users can access the monitoring interface at any time to adjust the system operating parameters, including fan speed and adsorption carbon canister switching time. Remote control operations are not restricted by geographical location. Users can also perform system start and stop operations through remote terminal devices, which greatly improves the system's operational convenience and management efficiency.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] Improve system operation efficiency: Through the dynamic perception module, the key parameters in the system are monitored in real time, and the high-precision sensors and Modbus485 communication protocol are used to achieve efficient and accurate data transmission and real-time monitoring of multi-node equipment, thereby ensuring that the system can adjust the equipment operation status according to the actual working conditions, avoid equipment idling and ineffective operation, and greatly reduce energy consumption.

[0038] Optimize equipment operation and save energy and reduce emissions: The intelligent control module calculates and automatically adjusts equipment parameters based on real-time data, adjusts the speed of the induced draft fan, starts and stops the refrigeration unit, effectively controls the system load, and realizes intelligent start and stop and variable frequency speed regulation. By optimizing the operating status of the equipment, it not only improves the energy utilization efficiency, but also reduces the loss and failure rate of the equipment, extends the service life of the equipment, and meets the requirements of energy conservation and emission reduction.

[0039] Intelligence and automation improve management efficiency: The system integrates remote monitoring and control functions, allowing operators to monitor and adjust system operating parameters in real time through remote terminals. Operators can adjust equipment and diagnose faults without on-site intervention, which greatly improves the convenience and efficiency of remote management, reduces labor costs, and improves system reliability.

[0040] Enhance system stability and security: Through the high-precision and multi-dimensional data collection of sensors, the system can detect potential abnormal situations in real time and automatically alarm and failover in a timely manner. In addition, the intelligent control module also supports a fault-tolerant mechanism to ensure that the system can smoothly switch to the backup channel when the sensor fails or the data is abnormal, thereby ensuring the safety and stability of the system operation.

[0041] Realize full-process visualization and data analysis: The display and remote monitoring module displays the entire oil and gas recovery process in real time through 3D dynamic simulation animation, and can generate historical data charts, support multi-condition retrieval and analysis, help operators intuitively grasp the system's operating status and performance trends, and help to discover problems in a timely manner and optimize operating strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of the dynamic perception module flow provided for this application;

[0043] Figure 2 Schematic diagram of the intelligent control module flow provided for this application;

[0044] Figure 3 Schematic diagram of the application display and remote monitoring module flow provided for this application;

[0045] Figure 4 Schematic diagram of the module flow provided for this application. DETAILED DESCRIPTION

[0046] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0047] See also Figure 1-Figure 4 , an oil and gas recovery and processing system, comprising the following modules:

[0048] The dynamic sensing module is composed of a high-precision pressure sensor, a temperature and flow sensor, a Modbus485 communication interface, and a fault-tolerant mechanism:

[0049] High-precision pressure sensor: The dynamic sensing module is equipped with a high-precision pressure sensor for real-time monitoring of dynamic pressure changes in the oil and gas recovery system. The sensor can accurately capture pressure fluctuations in the system to ensure high accuracy of data acquisition. Through real-time monitoring of pressure, the system can determine whether it is currently in normal operation and adjust equipment parameters in time when abnormal pressure is found to avoid adverse effects of pressure fluctuations on the equipment. In addition, the high-precision pressure sensor provides the system with reliable operating data, supports the intelligent control module to make accurate decisions, and ensures that the equipment operates in the best condition.

[0050] Temperature and flow sensors: The dynamic sensing module also integrates temperature sensors and flow sensors, which are used to monitor the system's ambient temperature and oil and gas flow, respectively. These two parameters are crucial to the efficient operation of the oil and gas recovery system, because changes in temperature and flow directly affect the recovery efficiency. The temperature sensor continuously monitors the ambient temperature to ensure that the system operates within an appropriate temperature range. The flow sensor is responsible for detecting the oil and gas flow to ensure the stability of the flow during the recovery process and prevent flow fluctuations from causing a decrease in recovery efficiency.

[0051] Modbus 485 communication interface: To ensure the timely transmission of sensor data to the intelligent control module, the dynamic sensing module adopts the Modbus 485 communication interface, which supports communication between long-distance and multi-node devices, can realize data transmission of multiple sensors, and ensure efficient data exchange through serial communication protocol. The Modbus 485 protocol is widely used in industrial automation systems, has good anti-interference ability, can work stably in complex industrial environments, and ensures the stability of data transmission.

[0052] Fault-tolerant mechanism: In order to ensure the safety and stability of the system, the dynamic perception module is designed with a fault-tolerant mechanism. When sensor data is abnormal or communication fails, the module can quickly send out an alarm signal to prompt the user to deal with the problem. At the same time, in the event of a failure, the system will automatically switch to the backup data channel to ensure continued data collection and transmission, thereby avoiding single point failures that cause system shutdowns. This fault-tolerant mechanism improves the reliability of the system, ensures smooth and stable data during oil and gas recovery, and supports continuous provision of operating data.

[0053] The intelligent control module consists of a core controller, an intelligent variable frequency speed regulation unit for the induced draft fan, an automatic start and stop unit for the refrigeration unit, and an automatic adsorption and desorption switching unit:

[0054] Core controller: Runs the optimization algorithm based on the data collected by the sensor in real time, and adjusts the system's operating parameters based on the calculation results. The core controller runs the optimization algorithm internally and dynamically adjusts the system based on the following formula:

[0055] P eff =k1·ΔP+k2·T env -k3·R flow ;

[0056] Among them, P eff is the effective operating pressure after the system is dynamically adjusted, ΔP is the real-time pressure difference, T env is the ambient temperature, R flow is the current traffic, k1, k2, and k3 are optimization coefficients, which are dynamically updated through the machine learning model;

[0057] The purpose of this algorithm is to ensure efficiency and energy saving in the oil and gas recovery process by adjusting the effective operating pressure of the system in real time to achieve the optimal operating state. The optimization coefficients k1, k2, and k3 are continuously adjusted through machine learning over time to cope with environmental changes and optimize the performance of the algorithm.

[0058] Intelligent variable frequency speed regulation unit for induced draft fans: The intelligent variable frequency speed regulation unit for induced draft fans adjusts the speed of the fan in real time according to the instructions issued by the core controller, thereby controlling the air volume. The adjustment of the air volume has a direct impact on the oil and gas recovery efficiency and the energy consumption of the equipment. By intelligently adjusting the fan speed, it can operate in the best state under different loads, thereby avoiding unnecessary energy waste. This intelligent adjustment can not only respond to changes in system requirements, but also automatically adapt to environmental changes, optimize energy efficiency, and improve the overall reliability of the equipment.

[0059] Automatic start-stop unit of refrigeration unit: The refrigeration unit is the core equipment used to reduce the oil and gas temperature in the oil and gas recovery system. The start and stop of the refrigeration unit is precisely controlled by the automatic start-stop unit and adjusted according to the system's heat load demand. When the system temperature reaches the preset safety range, the refrigeration unit will automatically stop working. When the temperature exceeds the set range, the refrigeration unit will start to quickly restore to the ideal operating temperature. Through this precise control, the system avoids excessive operation of the refrigeration unit, thereby saving energy and extending the service life of the equipment.

[0060] Automatic adsorption and desorption switching unit: The automatic adsorption and desorption switching unit is composed of a solenoid valve and a logic controller, which is responsible for automatically switching the working state of the adsorption carbon canister. During the oil and gas recovery process, the adsorption carbon canister will go through two stages: adsorption and desorption. This unit can automatically switch the working state of the adsorption carbon canister according to the set conditions to improve the recovery efficiency. During the adsorption stage, when the set conditions are met, the system will automatically switch to the desorption state, reducing the idling time of the equipment and improving the overall work efficiency. Through this intelligent control, the system minimizes human intervention to ensure the high efficiency of oil and gas recovery and effectively extend the service life of the adsorbent.

[0061] The display and remote monitoring module consists of a dynamic simulation display unit, an operation recording unit, and a remote control unit:

[0062] Dynamic simulation display unit: A three-dimensional dynamic simulation animation interface is constructed through configuration software to display the entire oil and gas recovery process in real time. The unit can dynamically display the real-time speed of the induced draft fan, the working status of the adsorption carbon canister and the key parameters of the system operating pressure, and provide users with intuitive operating status feedback through visualization. In order to ensure the accuracy and comprehensiveness of the displayed information, the unit uses the following optimization algorithms to process the real-time monitoring data:

[0063] S opt =α1·V fan +α2·P sys +α3·C ads -β·T fault ;

[0064] Among them, S opt Indicates the system comprehensive display optimization score, V fan is the real-time speed of the induced draft fan, P sys is the system operating pressure, C ads Score the working status of the adsorption canister, T fault is the current fault duration, α1, α2, α3 are the weight factors of each parameter, and β is the fault penalty factor. The above weights and penalty factors are dynamically adjusted by machine learning modeling of historical operation data and current environmental conditions to ensure that the optimization score accurately reflects the overall operation status of the system. The optimization score S calculated in real time opt As the core parameter of dynamic display, it provides operators with an accurate and intuitive basis for comprehensive evaluation of system operation. At the same time, the unit integrates a user interaction interface to support operation parameter adjustment and data analysis, which facilitates optimized system management and troubleshooting.

[0065] Operation recording unit: The operation recording unit is responsible for converting the system's key operating parameters and historical fault information into visual data charts, which are convenient for users to view and analyze in real time. Through this unit, the system can record and store important data during operation, including temperature, pressure and flow, and generate trend charts to help operators intuitively understand the operating status of the system in different time periods. In addition, the unit supports multi-condition retrieval functions, and users can filter according to specific parameters to carry out detailed fault diagnosis and performance evaluation. The operation recording unit also has a data export function, allowing users to export historical operation data to external devices or cloud platforms for long-term data storage and in-depth analysis.

[0066] Remote control unit: The remote control unit is connected to the upper oil payment system through an Ethernet module to achieve remote operation, including system start and stop, real-time parameter adjustment and data analysis functions. This unit enables remote operators to fully control the oil and gas recovery system. No matter where they are, they can perform real-time monitoring and parameter adjustment through remote terminal equipment. The remote start and stop function allows operators to adjust the equipment operating status according to the actual working conditions of the system, thereby optimizing resource allocation and reducing energy consumption. At the same time, the remote data analysis function provides operators with system operation data reports and analysis results, helping to identify potential problems in a timely manner and take corresponding maintenance measures to improve system operation efficiency and stability.

[0067] An oil and gas recovery and processing method comprises the following steps:

[0068] Step 1: Use the dynamic sensing module to collect key parameters in the system in real time and obtain three types of data: pressure, temperature, and flow rate during system operation;

[0069] Step 2: After receiving the real-time data, the core controller uses the built-in optimization algorithm to perform weighted calculations on the pressure difference, ambient temperature and flow parameters to determine the optimal operating pressure of the system and generate corresponding control instructions;

[0070] Step 3: The intelligent variable frequency speed regulating unit of the induced draft fan adjusts the fan speed in real time according to the control command to match the pressure and flow required by the system;

[0071] Step 4: The display and remote monitoring module displays the operating status of the system through a dynamic simulation display unit and provides a three-dimensional animation simulation of the oil and gas recovery process.

[0072] In the step 1, the dynamic sensing module integrates high-precision pressure sensors, temperature sensors and flow sensors. Each sensor is deployed at an important position of the system to collect real-time operating parameters. The high-precision pressure sensor is installed at the key node of the oil and gas recovery pipeline to sense the pressure changes inside the system in real time and output the measurement results in the form of digital signals. The temperature sensor is used to detect the ambient temperature of the system and the operating temperature of the oil and gas. It is arranged at the inlet and outlet of the system and can dynamically capture detailed data of temperature changes. The flow sensor is located in the main oil and gas loop and is used to monitor the flow of oil and gas in real time to ensure the comprehensiveness of the monitoring information. The data collected by the sensor is preliminarily processed by the multi-sensor fusion algorithm in the dynamic sensing module. The algorithm combines the measurement results of each sensor, fully considers the differences between different sensors, eliminates the errors of a single sensor, and thus significantly improves the accuracy of the overall monitoring data. The processed data is transmitted to the intelligent control module via the Modbus 485 communication protocol. The 485 protocol supports long-distance data transmission and has multi-node parallel communication capabilities, so that data from multiple sensors can be uploaded simultaneously, meeting the system's requirements for efficiency and real-time performance. In addition, the protocol has good anti-interference performance and can maintain stable transmission in complex industrial environments. During data transmission, the dynamic perception module has a built-in fault-tolerant mechanism for real-time monitoring and verification of transmitted data. When communication anomalies or data errors are detected, the module will immediately trigger an alarm signal and switch to the backup channel for data retransmission to ensure the integrity and continuity of data transmission. These processed and verified high-precision data are ultimately transmitted to the intelligent control module, providing a reliable basic support for the system's optimization algorithm operation and operating parameter adjustment. Through this comprehensive parameter monitoring and efficient data transmission solution, the system can maintain a high degree of accuracy and stability during operation.

[0073] In step 2, the core controller receives real-time data transmitted by the dynamic sensing module, including the pressure difference ΔP, the ambient temperature T env and the current flow R flow , and calculates and controls the system operation status based on the built-in optimization algorithm. The core controller has a built-in high-performance processor and storage unit, which can receive and process multi-dimensional parameter data from the sensor in real time. The core controller first uses the formula P eff =k1·ΔP+k2·T env -k3·R flow Calculate the effective operating pressure P of the current system eff, where the optimization coefficients k1, k2, and k3 are updated in real time by the machine learning model embedded in the core controller. These coefficients are dynamically adjusted based on the system's historical operating data, real-time feedback information, and environmental changes to ensure that the calculation results can accurately reflect the current system's operating requirements. The core controller uses an optimization algorithm to perform weighted calculations on the pressure difference, ambient temperature, and flow data to generate the P eff The value is used to characterize the optimal operating state of the system. After completing the calculation, the core controller immediately generates control instructions and outputs the instructions to related equipment. For the induced draft fan, the core controller calculates the P value. eff The core controller adjusts the operating parameters of the intelligent variable frequency speed regulation unit of the induced draft fan according to the calculated values, and controls the fan speed in real time to ensure accurate matching of the air volume. For the refrigeration unit, the core controller determines whether the refrigeration function needs to be enabled based on the calculation results, and accurately controls the start and stop status and operating time of the refrigeration unit to meet the heat load requirements; for the adsorption and desorption device, the core controller outputs control signals to the solenoid valve and logic controller based on the calculated parameters and real-time oil and gas concentration data to achieve automatic switching between adsorption and desorption states. During the whole process, the core controller and each device achieve efficient transmission of data and instructions through a high-speed communication bus. The control system makes real-time adjustments with a response speed of milliseconds to ensure that the system operation is always in the optimal state. In addition, while adjusting, the core controller records the operating status and adjustment parameters of each device to the storage unit for further optimization of the machine learning model, so that the optimization algorithm can adapt to different working conditions, providing guarantee for the long-term stable and efficient operation of the system.

[0074] In step three, the intelligent variable frequency speed regulation unit of the induced draft fan analyzes the pressure and flow data monitored by the system in real time, and uses the built-in variable frequency control algorithm to accurately adjust the speed of the induced draft fan. The unit transmits the real-time collected pressure sensor and flow sensor data to the core controller, which calculates the fan speed value suitable for the current working conditions and dynamically adjusts the fan operating state through a closed-loop control mechanism to ensure that it always operates within the optimal range. Through this intelligent adjustment method, the induced draft fan can effectively reduce energy consumption while meeting the system operation requirements. The start and stop control unit of the refrigeration unit automatically manages the system's heat load requirements and determines in real time whether the refrigeration function needs to be started. The unit comprehensively evaluates the current heat load by monitoring the ambient temperature, system pressure and related operating parameters. The core controller accurately controls the start and stop status of the refrigeration unit according to these calculation results, so as to ensure that the equipment can run on demand and effectively avoid energy waste caused by long-term ineffective operation. The adsorption-desorption switching unit generates a control signal through the core controller based on the real-time monitored oil and gas concentration and recovery efficiency data, and transmits it to the solenoid valve and logic controller to realize automatic switching between adsorption and desorption states. The unit dynamically adjusts the working state of the adsorbent by continuously collecting and analyzing sensor data to ensure that the adsorbent is always at the best working efficiency during the oil and gas recovery process. The entire switching process does not require human intervention, and the logic controller accurately completes the conversion of the working state, thereby ensuring the stable operation and efficient recovery capability of the system.

[0075] In the step 4, the display and remote monitoring module realizes real-time visualization of the system operation status through a dynamic simulation display unit. The unit is based on the configuration software and uses a three-dimensional animation to dynamically present the entire process of oil and gas recovery, and intuitively displays the key operating parameters of the system, such as the real-time speed of the induced draft fan, the working status of the adsorption carbon canister, and the operating pressure of the system. These parameters are collected in real time by sensors and displayed on the user interface after being processed by an optimization algorithm. In order to more accurately reflect the operation status of the system, the dynamic simulation display unit uses the following optimization algorithm to comprehensively process the real-time monitoring data:

[0076] S opt =α1·V fan +α2·P sys +α3·C ads -β·T fault ;

[0077] Among them, S opt Indicates the system comprehensive display optimization score, V fan is the real-time speed of the induced draft fan, P sys is the system operating pressure, C ads Score the working status of the adsorption canister, T faultis the current fault duration, α1, α2, α3 are the weight factors of each parameter, and β is the fault penalty factor. By combining historical operating data and current environmental conditions, the machine learning model is used to dynamically adjust the above weights and penalty factors to ensure that the optimization score can accurately reflect the overall operating status of the system. In addition, the dynamic simulation display unit has a real-time fault alarm function. When an abnormal situation is detected, the unit will automatically trigger an alarm prompt and generate a detailed fault log to record relevant information for users to review. With the help of the remote control function, users can view the system status at any time through the monitoring interface and adjust the operating parameters, such as fan speed and adsorption carbon canister switching time. Remote operation is not restricted by geographical location. Users can also start and stop the system through remote terminal devices, which significantly improves the system's operational convenience and management efficiency.

[0078] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features and technical solutions in the embodiments may be combined with each other.

[0079] Obviously, the embodiments described above are only some embodiments of the present invention, rather than all embodiments. The preferred embodiments of the present invention are given in the accompanying drawings, but they do not limit the patent scope of the present invention. The present invention can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive. Although the present invention has been described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to effectively replace some of the technical features therein. Any effective structure made using the contents of the specification and drawings of the present invention, directly or indirectly used in other related technical fields, is also within the scope of patent protection of the present invention.

Claims

1. An oil and gas recovery and processing system, characterized in that: Includes the following modules: Dynamic sensing module, used to monitor the main parameters of oil pressure, temperature and flow in real time, and transmit the data to the control module through Modbus485 communication protocol; An intelligent control module is used to receive parameter data transmitted by the dynamic sensing module, calculate the optimal operating state of the equipment based on a preset algorithm, automatically start and stop the induced draft fan and refrigeration unit, and control the switching of the adsorption and desorption device; The display and remote monitoring module is used to dynamically display the system operation status in real time, including dynamic simulation 3D animation of the entire oil and gas recovery process, and supports start and stop control and parameter adjustment through remote terminal equipment.

2. The oil and gas recovery and processing system according to claim 1, characterized in that: The dynamic perception module includes: High-precision pressure sensor, used to monitor the dynamic pressure of the oil delivery system in real time to ensure data collection accuracy; Temperature and flow sensors are used to monitor the operating environment temperature and the dynamic flow of oil and gas recovery, respectively, to ensure that the system operates under optimal conditions; Modbus485 communication interface, by supporting long-distance, multi-node communication, realizes efficient data transmission between sensors and intelligent control modules; The dynamic perception module adopts a fault-tolerant mechanism. When data anomalies are detected, it can automatically alarm and switch to the backup data channel to ensure safe and stable operation of the system.

3. The oil and gas recovery and processing system according to claim 1, characterized in that: The intelligent control module comprises: The core controller runs an optimization algorithm internally and dynamically adjusts system operating parameters based on the following formula: P eff =k1·ΔP+k2·T env -k3·R flow ; Among them, P eff is the effective operating pressure after the system is dynamically adjusted, ΔP is the real-time pressure difference, T env is the ambient temperature, R flow is the current traffic, k1, k2, and k3 are optimization coefficients, which are dynamically updated through the machine learning model; The intelligent variable frequency speed regulating unit of the induced draft fan adjusts the fan speed according to the instructions output by the core controller to achieve dynamic control of the air volume; The automatic start and stop unit of the refrigeration unit can accurately control the start and stop status of the refrigeration unit based on the system heat load demand; The automatic adsorption and desorption switching unit uses a solenoid valve and a logic controller to automatically switch the working state of the adsorption carbon canister.

4. The oil and gas recovery and processing system according to claim 1, characterized in that: The display and remote monitoring module includes: The dynamic simulation display unit uses the configuration software to display the entire oil and gas recovery process in real time in the form of a three-dimensional dynamic simulation animation, including the speed of the induced draft fan, the working status of the adsorption carbon canister and the system operating pressure parameters. The real-time monitoring data is optimized through the following algorithms: S opt =α1·V fan +α2·P sys +α3·C ads -β·T fault ; Among them, S opt Indicates the system comprehensive display optimization score, V fan is the real-time speed of the induced draft fan, P sys is the system operating pressure, C ads Score the working status of the adsorption canister, T fault is the current fault duration, α1, α2, α3 are the weight factors of each parameter, and β is the fault penalty factor; The operation recording unit stores the operation trends and historical fault information of the main parameters as visual data charts, and supports data export and multi-condition retrieval analysis; The remote control unit is connected to the upper fuel supply system through an Ethernet module to achieve remote start and stop operations, real-time parameter adjustment and remote data analysis.

5. An oil and gas recovery and processing method, characterized in that: The following steps are involved: Step 1: Use the dynamic sensing module to collect key parameters in the system in real time and obtain three types of data: pressure, temperature, and flow rate during system operation; Step 2: After receiving the real-time data, the core controller uses the built-in optimization algorithm to perform weighted calculations on the pressure difference, ambient temperature and flow parameters to determine the optimal operating pressure of the system and generate corresponding control instructions; Step 3: The intelligent variable frequency speed regulating unit of the induced draft fan adjusts the fan speed in real time according to the control command to match the pressure and flow required by the system; Step 4: The display and remote monitoring module displays the operating status of the system through a dynamic simulation display unit and provides a three-dimensional animation simulation of the oil and gas recovery process.

6. The oil gas recovery method according to claim 5, characterized in that: In the step 1, the pressure, temperature and flow parameters in the oil and gas recovery system are monitored in real time through the dynamic sensing module, and multi-sensor fusion technology is used to combine high-precision pressure sensors, temperature sensors and flow sensors to achieve multi-dimensional data collection.

7. The oil gas recovery method according to claim 5, characterized in that: In step 2, after receiving the real-time data, the core controller calculates the effective operating pressure P according to the optimization algorithm. eff And output adjustment instructions, the calculation formula P eff =k1·ΔP+k2·T env -k3·R flow The optimal operating state of the system is determined through weighted calculation of pressure difference, ambient temperature and flow rate. The optimization coefficients k1, k2 and k3 are updated in real time through the machine learning model and dynamically adjusted based on historical data and feedback information.

8. The oil gas recovery method according to claim 5, characterized in that: In step three, the intelligent variable frequency speed regulation unit of the induced draft fan adjusts the fan speed according to the real-time pressure and flow data, the refrigeration unit start-stop control unit determines the start or stop timing according to the system heat load demand, and the adsorption-desorption switching unit uses the solenoid valve and the logic controller to automatically switch the working state of the adsorption carbon canister according to the oil and gas concentration and the recovery efficiency.

9. The oil gas recovery method according to claim 5, characterized in that: In step 4, the display and remote monitoring module uses a dynamic simulation display unit to display the system operation status in real time in the form of three-dimensional animation, including three key parameters: the speed of the induced draft fan, the working status of the adsorption carbon canister, and the system pressure. At the same time, the real-time monitoring data is comprehensively processed and optimized through the optimization algorithm. According to the algorithm formula S opt =α1·V fan +α2·P sys +α3·C ads -β·T fault Display the scoring results. In addition, the display unit provides a real-time fault alarm function. When a system abnormality is detected, it automatically triggers an alarm prompt and records a fault log. Through the remote control function, users can adjust system parameters and perform start and stop operations at any time.

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