An intelligent switching system for LNG and CNG dual-use pressure regulating boxes

Abstract

The present invention discloses an intelligent switching system for an LNG and CNG dual-use pressure regulating box, which relates to the technical field of LNG and CNG pressure regulating boxes. The present invention will ensure the stability of gas supply and cost optimization based on the data and market price information provided by the sensor module. At the same time, multiple sensors comprehensively monitor the gas source and environment, provide comprehensive data support, and greatly improve the system perception capability. The remote communication unit allows operators and maintenance personnel to monitor the system operation status in real time, and can remotely control and make decisions to improve the response speed and efficiency of the system. The system has a built-in optimization algorithm, which automatically adjusts the gas supply strategy according to different objective functions and constraints, including switching time, switching frequency, and pressure regulation parameters, to reduce costs, improve benefits or maintain system stability. The data analysis and optimization module is then used to accurately formulate the gas supply strategy, maximize economic benefits, and ensure the stability and safety of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of LNG and CNG pressure regulating tanks, and in particular to an intelligent switching system for LNG and CNG dual-purpose pressure regulating tanks. Background Art

[0002] LNG (Liquefied Natural Gas) and CNG (Compressed Natural Gas) surge tanks are equipment used to process natural gas, designed to convert high-pressure natural gas into low-pressure gas suitable for supply to consumers or equipment. These surge tanks are widely used in liquefied natural gas (LNG) and compressed natural gas (CNG) applications because they are key components that ensure natural gas can be supplied safely and efficiently to various applications.

[0003] LNG is a form of natural gas that is cooled to an extremely low temperature and liquefied for easy storage and transportation. CNG is a form of natural gas that is compressed into high-pressure gas by a compressor and is usually stored in gas cylinders or gas tanks. These two forms of natural gas require pressure regulation to meet the requirements of different applications. The main function of the pressure regulating tank is to convert high-pressure LNG or CNG into low-pressure natural gas suitable for consumers or equipment. This involves the process of reducing and stabilizing the pressure to ensure that the natural gas can be used within a safe pressure range. The LNG.CNG pressure regulating tank must be designed and manufactured to ensure safety and reliability, which includes taking explosion-proof measures, pressure control systems, leak detection and emergency shut-off devices. The LNG.CNG pressure regulating tank is a key equipment for handling liquefied natural gas (LNG) and compressed natural gas (CNG), used to ensure that high-pressure natural gas can be supplied to various applications within a safe pressure range.

[0004] However, traditional gas supply systems rely on manual operation and fixed switching modes. Operators need to decide when to switch gas sources based on experience and fixed switching modes, which is prone to human errors and misjudgments, resulting in unstable gas supply. At the same time, in traditional solutions, when gas source prices suddenly change, users will need to purchase gas sources at high prices, causing a tense supply and demand relationship and making it impossible to effectively maintain the supply and demand relationship. Therefore, there is an urgent need for an LNG.CNG dual-use pressure regulating box intelligent switching system that can monitor multiple parameters and adjust prices and gas source types to solve such problems. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In response to the shortcomings of the existing technology, the present invention provides an intelligent switching system for LNG and CNG dual-use pressure regulating boxes to solve the problems in the existing technology that rely on manual operation and fixed switching modes, which are prone to human errors and misjudgments, resulting in unstable gas supply. When the gas source price suddenly changes, the gas source type cannot be adjusted in time, and the supply and demand relationship cannot be effectively maintained.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions. The present invention provides an LNG.CNG dual-use pressure regulating box intelligent switching system, comprising:

[0009] The sensor module is used to collect data and information related to gas supply to support system decision-making and operation. The sensor module transmits the collected data to the system control unit via wireless communication;

[0010] The control unit determines whether to use LNG or CNG gas source based on the data provided by the sensor module. After determining the type of gas supply, the control unit is responsible for performing the switching operation, switching the system from the current gas source to the selected gas source;

[0011] The pressure regulating box module is used to reduce the gas pressure in high-pressure gas sources such as LNG and CNG to a safe working pressure suitable for users and equipment. It monitors the gas pressure and adjusts it as needed to maintain the working pressure level, and then distributes the regulated gas to different users.

[0012] The switching module is responsible for switching the gas source from one type to another or vice versa based on the system's decision or user's needs, while also monitoring the status and performance of the switching operation in real time;

[0013] The data analysis and optimization module is used to analyze the data collected by the system and provide decision support, and optimize the performance and benefits of the system according to changes in market gas prices and fluctuations in monitoring parameters.

[0014] The present invention is further configured as follows: the sensor module includes:

[0015] Displacement sensors are used to measure the displacement of various parts inside the surge tank to detect potential faults or abnormal conditions;

[0016] Pressure sensors for monitoring the pressure of LNG and CNG supply sources;

[0017] Temperature sensor, used to measure the temperature of LNG and CNG;

[0018] Flow sensors, used to monitor the flow of LNG and CNG;

[0019] Gas detection sensors, used to detect combustible gas leaks;

[0020] Environmental sensors for monitoring ambient humidity and gas concentration;

[0021] The present invention is further configured as follows: the control unit includes:

[0022] A data acquisition unit, used to collect data from the sensor module in real time;

[0023] The switching logic control unit makes intelligent decisions to switch to LNG or CNG gas supply based on data collection;

[0024] Remote communication unit, responsible for communicating with the maintenance personnel's mobile terminals and the gas company's command center;

[0025] The switching logic control unit includes:

[0026] Control valve and pressure regulator: used to adjust the flow and pressure of the gas source. The control valve is controlled by a PID controller. The output of the PID controller will adjust the valve position according to the target value, that is, the pressure and flow of the new gas source and the current value;

[0027] The present invention is further configured such that the switching strategy only monitors the gas supply volume and system stability, and the control unit switching strategy is specifically as follows:

[0028] Based on the current air supply volume monitored by the sensor module ,Set the minimum gas supply threshold, expressed as , used to determine whether it is necessary to switch the gas source;

[0029] if , then trigger the switch;

[0030] Based on the sensor module, the system stability parameters including air pressure change rate and flow fluctuation are monitored;

[0031] Set the stability threshold, expressed as Used to determine whether the system is stable enough;

[0032] If the system stability falls below the threshold , then the switch is not executed;

[0033] Make a decision based on the results of the gas supply check and system stability check:

[0034] if And the system stability is higher than , then trigger the switch;

[0035] The present invention is further configured as follows: the voltage regulating box module includes:

[0036] LNG pressure regulating unit, used to reduce the pressure of liquefied natural gas (LNG) and convert it into gaseous state for supply to users and pipelines;

[0037] CNG pressure regulating unit, used to reduce the pressure of compressed natural gas (CNG) and provide stable pressure and flow;

[0038] Gas supply interface, used to supply the treated gas to users and pipelines to ensure gas supply;

[0039] The present invention is further configured such that: the gas supply type determination implementation unit determines whether to select LNG or CNG gas supply based on data provided by the sensor module;

[0040] The switching control unit controls the switching between the LNG and CNG pressure regulating units to achieve seamless gas supply switching;

[0041] The present invention is further configured as follows: in the data analysis and optimization module, the data analysis and optimization step specifically includes:

[0042] Process the collected data, including data cleaning, removal of outliers and missing data;

[0043] Extract information about gas supply, market trends, and system performance based on time series analysis;

[0044] Optimize with the goal of minimizing gas supply costs and maximizing system stability;

[0045] Detect and predict possible faults and problems in the system based on machine learning and data mining techniques;

[0046] The present invention is further configured as follows: the specific steps of optimizing with the goal of minimizing gas supply costs and maximizing system stability include:

[0047] Define an objective function ,in is the decision variable;

[0048] Constraints include safety, gas supply stability, and equipment limitations. Constraints are defined as: ;

[0049] in is a function related to gas supply stability, is the stable threshold;

[0050] The cost problem is expressed based on linear programming: the objective function is ,in For decision variables associated costs;

[0051] Constraints: ;

[0052] Solve the optimal solution of the objective function under the constraints until the optimal solution that satisfies the constraints is found;

[0053] Adjust the gas supply strategy based on the optimal solution;

[0054] The present invention is further configured such that: in the data analysis and optimization module, the determination method for switching between LNG and CNG gas supply types is:

[0055] Step 1. Calculate the scores for LNG and CNG to determine the type of gas supplied. The scoring formula is:

[0056] ;

[0057] ;

[0058] Step 2. Calculate the probability of selecting LNG and CNG gas supply based on the softmax function:

[0059] ;

[0060] ,

[0061] Step 3. Based on the selection probability, formulate the decision rule, specifically:

[0062] if > , then select LNG gas supply;

[0063] if < , then select CNG gas supply;

[0064] if = , then make further decisions based on other factors;

[0065] In steps 1, 2, and 3, and for and The gas pressure is the gas source pressure level, and for and The gas temperature is the temperature of the gas source, and for and The gas flow rate, that is, the amount of gas supplied per unit time, and for and The market price is the cost of gas source, represents the weight of gas pressure in decision making, represents the weight of gas temperature in decision making, represents the weight of gas flow in decision making, Indicates the weight of market price in decision making;

[0066] The present invention is further configured as follows: in the step of detecting and predicting possible faults and problems in the system:

[0067] Based on the long short-term memory network LSTM to process time series data, the input of the model is the time step The data at the moment is expressed as , the output of the model is a binary label of whether a failure occurred , then the LSTM input is:

[0068] ,

[0069] in, Indicates the gas source pressure, Indicates flow rate, Indicates temperature, Indicates the valve status, Indicates current;

[0070] The LSTM output is:

[0071] ,

[0072] in, is the model's time step Failure prediction, is the Sigmoid function, and are the weights and biases of the model;

[0073] The model is based on the input data Forecast time step Whether there is a fault or not, when the model detects an anomaly, an alarm is triggered.

[0074] (3) Beneficial effects

[0075] The present invention provides an intelligent switching system for LNG and CNG dual-use pressure regulating boxes. It has the following beneficial effects:

[0076] The architecture of the LNG.CNG dual-use pressure regulating box intelligent switching system provided in this application collects data and information related to gas supply in real time through a sensor module. The module includes a displacement sensor, a pressure sensor, a temperature sensor, a flow sensor, a gas detection sensor and an environmental sensor. Through these sensors, the system can comprehensively monitor the status of the gas source, the operation of the pipeline and changes in the surrounding environment. The monitoring data is transmitted to the system control unit via wireless communication, providing key information for intelligent decision-making.

[0077] In the control unit, based on the data provided by the sensor module, it determines whether to use LNG or CNG gas source and is responsible for executing the switching operation. The module includes a data acquisition unit, a switching logic control unit and a remote communication unit. The data acquisition unit collects sensor data in real time, and the switching logic control unit makes intelligent decision-making switching based on data acquisition. The remote communication unit enables the system to communicate with the maintenance personnel's mobile terminal and the gas company command center in real time to ensure the efficiency of operation and maintenance. The pressure regulating box module coordinated with the control unit reduces the gas pressure in the high-pressure gas source (LNG and CNG) to a safe working pressure suitable for users and equipment. The module includes an LNG pressure regulating unit and a CNG pressure regulating unit, which are used to process liquefied natural gas and compressed natural gas respectively. By monitoring the gas pressure and adjusting it as needed, the pressure regulating box module maintains the working pressure level and distributes the processed gas to different users.

[0078] The switching module switches the gas source from one type to another or vice versa according to the system's decision or user's needs, and monitors the status and performance of the switching operation in real time. The switching module includes a gas supply type determination implementation unit and a switching control unit. The former determines whether to select LNG or CNG gas supply based on the data provided by the sensor module, and the latter controls the switching of LNG and CNG pressure regulating units to ensure seamless gas supply switching. The data analysis and optimization module coordinated with the switching module is used to analyze the data collected by the system and provide decision support, including data processing, time series analysis, objective function and constraint definition, linear programming and machine learning. By processing and analyzing the collected data, we can better understand the gas supply, market trends and system performance, so as to formulate the best gas supply strategy, minimize gas supply costs and maximize system stability.

[0079] To sum up, the LNG.CNG dual-use pressure regulating box intelligent switching system provided in this application can intelligently switch the gas source and ensure the stability and cost optimization of the gas supply according to the data provided by the sensor module and market price information. This avoids the manual operation and fixed switching mode in the traditional system. At the same time, a variety of sensors comprehensively monitor the gas source and environment, provide comprehensive data support, and the system perception capability is greatly improved, which is conducive to early fault detection and problem prediction. In addition, the remote communication unit allows operators and maintenance personnel to monitor the system operation status in real time, and can remotely control and make decisions, thereby improving the response speed and efficiency of the system. The system has a built-in optimization algorithm, which automatically adjusts the gas supply strategy according to different objective functions and constraints, including switching time, switching frequency, and pressure regulation parameters, to reduce costs, improve benefits or maintain system stability, and then uses the data analysis and optimization module to accurately formulate gas supply strategies, maximize economic benefits, and ensure the stability and safety of the system.

[0080] This solves the problem in the existing technology that reliance on manual operation and fixed switching modes is prone to human errors and misjudgments, resulting in unstable gas supply. When the gas source price suddenly changes, the gas source type cannot be adjusted in time, and the supply and demand relationship cannot be effectively maintained. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 This is a framework diagram of the intelligent switching system for the LNG and CNG dual-use pressure regulating tanks of the present invention;

[0082] Figure 2 The target optimization process of the LNG.CNG dual-use pressure regulating box intelligent switching system of the present invention Figure 1 ;

[0083] Figure 3 The target optimization process of the LNG.CNG dual-use pressure regulating box intelligent switching system of the present invention Figure 2 . DETAILED DESCRIPTION

[0084] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0085] Example

[0086] See also Figure 1-Figure 3 The present invention provides an intelligent switching system for LNG and CNG dual-use pressure regulating boxes, comprising:

[0087] The sensor module is used to collect data and information related to gas supply to support system decision-making and operation. The sensor module transmits the collected data to the system control unit via wireless communication;

[0088] The sensor module includes:

[0089] Displacement sensors are used to measure the displacement of various parts inside the surge tank to detect potential faults or abnormal conditions;

[0090] Pressure sensors are used to monitor the pressure of LNG and CNG supply sources to ensure a stable gas supply;

[0091] Temperature sensors are used to measure the temperature of LNG and CNG to ensure that the gas is within the appropriate temperature range;

[0092] Flow sensors are used to monitor the flow of LNG and CNG to ensure that the gas supply meets demand;

[0093] Gas detection sensors are used to detect combustible gas leaks and issue alarms in advance to ensure safety;

[0094] Environmental sensors for monitoring ambient humidity and gas concentration;

[0095] The control unit determines whether to use LNG or CNG gas source based on the data provided by the sensor module. After determining the gas supply type, the control unit is responsible for performing the switching operation, switching the system from the current gas source to the selected gas source. The control unit includes:

[0096] A data acquisition unit, used to collect data from the sensor module in real time;

[0097] The switching logic control unit makes intelligent decisions to switch to LNG or CNG gas supply based on data collection;

[0098] Remote communication unit, responsible for communicating with the maintenance personnel's mobile terminals and the gas company's command center;

[0099] The switching logic control unit includes:

[0100] Control valve and pressure regulator: used to adjust the flow and pressure of the gas source. The control valve is controlled by a PID controller. The output of the PID controller will adjust the valve position according to the target value, that is, the pressure and flow of the new gas source and the current value;

[0101] The switching strategy here only monitors the gas supply and system stability. The specific switching strategy of the control unit is:

[0102] Based on the current air supply volume monitored by the sensor module ,Set the minimum gas supply threshold, expressed as , used to determine whether it is necessary to switch the gas source;

[0103] if , then trigger the switch;

[0104] Based on the sensor module, the system stability parameters including air pressure change rate and flow fluctuation are monitored;

[0105] Set the stability threshold, expressed as Used to determine whether the system is stable enough;

[0106] If the system stability falls below the threshold , then the switch is not executed;

[0107] Make a decision based on the results of the gas supply check and system stability check:

[0108] if And the system stability is higher than , then trigger the switch;

[0109] The pressure regulating box module is used to reduce the gas pressure in high-pressure gas sources such as LNG and CNG to a safe working pressure suitable for users and equipment. It monitors the gas pressure and adjusts it as needed to maintain the working pressure level, and then distributes the regulated gas to different users.

[0110] The surge tank module includes:

[0111] LNG pressure regulating unit, used to reduce the pressure of liquefied natural gas (LNG) and convert it into gaseous state for supply to users and pipelines;

[0112] CNG pressure regulating unit, used to reduce the pressure of compressed natural gas (CNG) and provide stable pressure and flow;

[0113] Gas supply interface, used to supply the treated gas to users and pipelines to ensure gas supply;

[0114] The switching module is responsible for switching the gas source from one type to another or vice versa based on the system's decision or user's needs, while also monitoring the status and performance of the switching operation in real time;

[0115] The gas supply type determination implementation unit determines whether to select LNG or CNG gas supply based on the data provided by the sensor module;

[0116] The switching control unit controls the switching between the LNG and CNG pressure regulating units to achieve seamless gas supply switching;

[0117] Data analysis and optimization module, used to analyze the data collected by the system and provide decision support, and optimize the performance and benefits of the system according to changes in market gas prices and fluctuations in monitoring parameters;

[0118] In the data analysis and optimization module, the data analysis and optimization steps specifically include:

[0119] Process the collected data, including data cleaning, removal of outliers and missing data;

[0120] Extract information about gas supply, market trends, and system performance based on time series analysis;

[0121] Optimize with the goal of minimizing gas supply costs and maximizing system stability;

[0122] Detect and predict possible faults and problems in the system based on machine learning and data mining techniques;

[0123] The specific steps for optimization with the goal of minimizing gas supply costs and maximizing system stability include:

[0124] Define an objective function ,in is the decision variable;

[0125] Constraints include safety, gas supply stability, and equipment limitations. Constraints are defined as: ;

[0126] in is a function related to gas supply stability, is the stable threshold;

[0127] The cost problem is expressed based on linear programming: the objective function is ,in For decision variables associated costs;

[0128] Constraints: ;

[0129] Solve the optimal solution of the objective function under the constraints until the optimal solution that satisfies the constraints is found;

[0130] According to the optimal solution, adjust the gas supply strategy to achieve the optimization goal of the current system;

[0131] In the data analysis and optimization module, the decision method for switching between LNG and CNG gas supply types is as follows:

[0132] Step 1. Calculate the scores for LNG and CNG to determine the type of gas supplied. The scoring formula is:

[0133] ;

[0134] ;

[0135] Step 2. Calculate the probability of selecting LNG and CNG gas supply based on the softmax function:

[0136] ;

[0137] ,

[0138] Step 3. Based on the selection probability, formulate the decision rule, specifically:

[0139] if > , then select LNG gas supply;

[0140] if < , then select CNG gas supply;

[0141] if = , then make further decisions based on other factors;

[0142] In steps 1, 2, and 3, and for and The gas pressure is the gas source pressure level, and for and The gas temperature is the temperature of the gas source, and for and The gas flow rate, that is, the amount of gas supplied per unit time, and for and The market price is the cost of gas source, represents the weight of gas pressure in decision making, represents the weight of gas temperature in decision making, represents the weight of gas flow in decision making, Indicates the weight of market price in decision making;

[0143] Steps to detect and predict possible failures and problems in the system:

[0144] Based on the long short-term memory network LSTM to process time series data, the input of the model is the time step The data at the moment is expressed as , the output of the model is a binary label of whether a failure occurred , then the LSTM input is:

[0145] ,

[0146] in, Indicates the gas source pressure, Indicates flow rate, Indicates temperature, Indicates the valve status, Indicates current;

[0147] The LSTM output is:

[0148] ,

[0149] in, is the model's time step Failure prediction, is the Sigmoid function, and are the weights and biases of the model;

[0150] The model is based on the input data Forecast time step Whether there is a fault or not, when the model detects an anomaly, an alarm is triggered so that maintenance personnel can take appropriate measures to solve the problem.

[0151] In view of the above, in this application:

[0152] The architecture of the LNG.CNG dual-use pressure regulating box intelligent switching system provided in this application collects data and information related to gas supply in real time through a sensor module. The module includes a displacement sensor, a pressure sensor, a temperature sensor, a flow sensor, a gas detection sensor and an environmental sensor. Through these sensors, the system can comprehensively monitor the status of the gas source, the operation of the pipeline and changes in the surrounding environment. The monitoring data is transmitted to the system control unit via wireless communication, providing key information for intelligent decision-making.

[0153] In the control unit, based on the data provided by the sensor module, it determines whether to use LNG or CNG gas source and is responsible for executing the switching operation. The module includes a data acquisition unit, a switching logic control unit and a remote communication unit. The data acquisition unit collects sensor data in real time, and the switching logic control unit makes intelligent decision-making switching based on data acquisition. The remote communication unit enables the system to communicate with the maintenance personnel's mobile terminal and the gas company command center in real time to ensure the efficiency of operation and maintenance. The pressure regulating box module coordinated with the control unit reduces the gas pressure in the high-pressure gas source (LNG and CNG) to a safe working pressure suitable for users and equipment. The module includes an LNG pressure regulating unit and a CNG pressure regulating unit, which are used to process liquefied natural gas and compressed natural gas respectively. By monitoring the gas pressure and adjusting it as needed, the pressure regulating box module maintains the working pressure level and distributes the processed gas to different users.

[0154] The switching module switches the gas source from one type to another or vice versa according to the system's decision or user's needs, and monitors the status and performance of the switching operation in real time. The switching module includes a gas supply type determination implementation unit and a switching control unit. The former determines whether to select LNG or CNG gas supply based on the data provided by the sensor module, and the latter controls the switching of LNG and CNG pressure regulating units to ensure seamless gas supply switching. The data analysis and optimization module coordinated with the switching module is used to analyze the data collected by the system and provide decision support, including data processing, time series analysis, objective function and constraint definition, linear programming and machine learning. By processing and analyzing the collected data, we can better understand the gas supply, market trends and system performance, so as to formulate the best gas supply strategy, minimize gas supply costs and maximize system stability.

[0155] To sum up, the LNG.CNG dual-use pressure regulating box intelligent switching system provided in this application can intelligently switch the gas source and ensure the stability and cost optimization of the gas supply according to the data provided by the sensor module and market price information. This avoids the manual operation and fixed switching mode in the traditional system. At the same time, a variety of sensors comprehensively monitor the gas source and environment, provide comprehensive data support, and the system perception capability is greatly improved, which is conducive to early fault detection and problem prediction. In addition, the remote communication unit allows operators and maintenance personnel to monitor the system operation status in real time, and can remotely control and make decisions, thereby improving the response speed and efficiency of the system. The system has a built-in optimization algorithm, which automatically adjusts the gas supply strategy according to different objective functions and constraints, including switching time, switching frequency, and pressure regulation parameters, to reduce costs, improve benefits or maintain system stability, and then uses the data analysis and optimization module to accurately formulate gas supply strategies, maximize economic benefits, and ensure the stability and safety of the system.

[0156] Obviously, the above embodiments of the present invention are merely examples for the purpose of clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Those skilled in the art will appreciate that other variations or modifications can be made based on the above description. It is not necessary and impossible to enumerate all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the claims of the present invention.

Claims

1. An intelligent switching system for LNG and CNG dual-use surge tanks, characterized in that: including: A sensor module, which is used to collect data and information related to gas supply, support system decision-making and operations. The sensor module transmits the collected data to the system control unit via wireless communication. A control unit, which, based on the data provided by the sensor module, determines whether to use LNG or CNG gas sources. After determining the gas supply type, the control unit is responsible for performing the switching operation to switch the system from the current gas source to the selected gas source. A pressure regulating box module, which is used to reduce the gas pressure in high-pressure gas sources LNG and CNG to a safe working pressure suitable for users and equipment, monitor the gas pressure and adjust it as needed to maintain the working pressure level, and then distribute the regulated gas to different users. A switching module, which is responsible for switching the gas source from one type to another or vice versa according to the system's decision or user needs, and simultaneously monitors the status and performance of the switching operation in real time. A data analysis and optimization module, which is used to analyze the data collected by the system and provide decision support, and optimize the system's performance and benefits according to changes in the market gas source price and fluctuations in monitoring parameters. In the data analysis and optimization module, the determination method for switching between LNG and CNG gas supply types is as follows: Step 1. Calculate the scores of LNG and CNG, which are used to determine the gas supply type. The scoring formula: Score LNG =α*P LNG +β*T LNG +γ*F LNG +d*Price LNG ; Score CNG =α*P CNG +β*T CNG +γ*F CNG +d*Price CNG ; Step 2. Calculate the probabilities of choosing LNG and CNG gas supply based on the softmax function: Step 3. According to the selection probabilities, formulate decision rules, specifically: If Prob(LNG)>Prob(CNG), then choose LNG gas supply; If Prob(LNG)<Prob(CNG), then choose CNG gas supply; If Prob(LNG) = Prob(CNG), then make further decisions based on other factors; In steps 1, 2, and 3, P LNG and P CNG is the gas pressure of LNG and CNG, i.e. the gas source pressure level, T LNG and T CNG The gas temperature of LNG and CNG is the temperature of the gas source, F LNG and F CNG is the gas flow rate of LNG and CNG, that is, the amount of gas supplied per unit time, Price LNG and Price CNG is the market price of LNG and CNG, i.e., the cost of gas source; α represents the weight of gas pressure in the decision-making process; β represents the weight of gas temperature in the decision-making process; γ represents the weight of gas flow in the decision-making process; and δ represents the weight of market price in the decision-making process.

2. The LNG and CNG dual-use surge tank intelligent switching system according to claim 1 is characterized in that: The sensor module includes: A displacement sensor, which is used to measure the displacements of various parts inside the pressure regulating box and detect potential faults or abnormal conditions. A pressure sensor, which is used to monitor the pressures of LNG and CNG supply sources. A temperature sensor, which is used to measure the temperatures of LNG and CNG. A flow sensor, which is used to monitor the flows of LNG and CNG. A gas detection sensor, which is used to detect combustible gas leakage. An environmental sensor, which is used to monitor environmental humidity and gas concentration.

3. The intelligent switching system for LNG and CNG dual-use surge tanks according to claim 1 is characterized in that: The control unit includes: A data acquisition unit, which is used to collect data from the sensor module in real time. A switching logic control unit, which makes an intelligent decision to switch to LNG or CNG gas supply based on data acquisition. A remote communication unit, which is responsible for communicating with the mobile terminals of maintenance personnel and the command center of the gas company. The switching logic control unit includes: Control valves and pressure regulators: which are used to adjust the flow and pressure of the gas source. Here, the control valves are controlled by a PID controller, and the output of the PID controller will adjust the valve position according to the target values, i.e., the pressure and flow of the new gas source and the current values.

4. The LNG and CNG dual-use surge tank intelligent switching system according to claim 1 is characterized in that: The switching decision strategy of the control unit only monitors the gas supply volume and system stability. The specific switching strategy of the control unit is: Based on the current air supply Q monitored by the sensor module, the minimum air supply threshold is set, expressed as Q min , used to determine whether it is necessary to switch the gas source; If Q min , then trigger the switch;​ Based on the stability parameters of the system monitored by the sensor module, including the gas pressure change rate and flow fluctuation; Set the stability threshold, denoted as S tld Used to determine whether the system is stable enough; If the system stability is lower than the threshold S tld , then the switch is not executed; Combining the results of the gas supply volume inspection and system stability inspection, make a decision: If Q min And the system stability is higher than S tld , then trigger the switch.​ 5. The LNG and CNG dual-use surge tank intelligent switching system according to claim 1 is characterized in that: The voltage regulating box module includes: LNG pressure regulating unit, used to reduce the pressure of liquefied natural gas (LNG) and convert it into gaseous state for supply to users and pipelines; CNG pressure regulating unit, used to reduce the pressure of compressed natural gas (CNG) and provide stable pressure and flow; The gas supply interface is used to supply the processed gas to users and pipelines to ensure the gas supply.

6. The intelligent switching system for LNG and CNG dual-use surge tanks according to claim 1 is characterized in that: The gas supply type determination implementation unit determines whether to select LNG or CNG gas supply based on data provided by the sensor module; The switching control unit controls the switching between the LNG and CNG pressure regulating units to achieve seamless gas supply switching.

7. The LNG and CNG dual-use surge tank intelligent switching system according to claim 1 is characterized in that: In the data analysis and optimization module, the data analysis and optimization steps specifically include: Process the collected data, including data cleaning, removal of outliers and missing data; Extract information about gas supply, market trends, and system performance based on time series analysis; Optimize with the goal of minimizing gas supply costs and maximizing system stability; Detect and predict possible faults and problems in the system based on machine learning and data mining techniques.

8. The intelligent switching system for LNG and CNG dual-use surge tanks according to claim 7 is characterized in that: The specific steps for optimization with the goal of minimizing gas supply costs and maximizing system stability include: Define an objective function J = τ(x1, x2, ..., x n ), where x1,x2,...,x n is the decision variable; Constraints include safety, gas supply stability, and equipment limitations. The constraints are defined as: g(x1,x2,...,x n )≤m; where g(x1,x2,...,x n ) is a function related to gas supply stability, and m is a stability threshold; The cost problem is expressed based on linear programming: the objective function is where τ i is the decision variable x i associated costs; Constraints: g(x1,x2,...,x n )≤m; Solve the optimal solution of the objective function under the constraints until the optimal solution that satisfies the constraints is found; Adjust the gas supply strategy based on the optimal solution.

9. The LNG and CNG dual-use surge tank intelligent switching system according to claim 7 is characterized in that: In the data analysis and optimization module, in the fault and problem detection step: Based on the long short-term memory network LSTM to process time series data, the input of the model is the data at time step t, represented by X t , the model outputs a binary label Y indicating whether a failure has occurred t , then the LSTM input is: X t =[P t ,F t ,T t ,V t ,I t ], Among them, P t Indicates the gas source pressure, F t Indicates flow rate, T t Indicates temperature, V t Indicates valve status, I t Indicates current; The LSTM output is: Y t =σ(W*h t +b), Among them, Y t is the fault prediction of the model for time step t, σ is the Sigmoid function, W and b are the weight and bias of the model; The model is based on the input data X t Predict whether there is a fault at time step t. When the model detects an anomaly, an alert is triggered.

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