Automatic switching method and system based on gas supply equipment

Abstract

The invention relates to an automatic switching method and system based on gas supply equipment, and belongs to the technical field of automatic control. The method comprises the steps that real-time pressure data, real-time temperature data, loading accumulated flow data, gas loading mode data, loading process parameters, tank car data and environment temperature data of an online ISO tank car are acquired; performing preprocessing according to the real-time pressure data, the real-time temperature data, the tank car data, the gas loading mode data and the environment temperature data; predicting according to the pre-processed data, the loading accumulated flow data and the loading process parameters to obtain a tank car output flow prediction result; and an output flow threshold value is preset, a first judgment result is obtained through judgment according to the tank car output flow prediction result and the output flow threshold value, a second judgment result is obtained through judgment of the real-time pressure data, and the intelligent terminal controls a tank car valve to be opened and closed according to the first judgment result and the second judgment result. Automatic switching of the ISO tank cars is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of automatic control, and in particular relates to an automatic switching method and system based on gas supply equipment. Background Art

[0002] In modern industry and life, gas supply equipment plays a vital role. Whether it is chemical, medical, food processing or many other fields, stable and efficient gas supply is a key factor in ensuring the continuity of production processes and product quality. At present, the domestic solar energy market uses a large amount of gas, and generally 3 to 5 ISO tank trucks are used to meet production capacity. Affected by the factory's capacity adjustment, the number of tank trucks that go online each time is not fixed. Most of the general market uses manual control of the number of tank trucks that go online. After the gas of the ISO tank trucks that are online is used up, they are manually put online for standby. This method of manually controlling the start-up of the tank truck system cannot control the usage of each tank truck well, which may cause waste of gas resources, and consume a lot of manpower to monitor the usage of tank trucks, increasing the operating costs of the enterprise. If it is not well controlled, it will also affect production capacity. Therefore, it is particularly important to develop a method and system that can realize the automatic switching of ISO tank trucks.

[0003] The current automated switching technologies for gas supply equipment on the market mainly focus on sensor monitoring, PLC (Programmable Logic Controller) control, and simple logical judgment. Although these technologies have improved the automation of switching to a certain extent, they still have the following shortcomings: (1) Lack of predictability: Traditional switching mechanisms often rely on the remaining capacity or pressure level of the current ISO tank truck to decide when to switch to the backup tank truck. This lacks the ability to predict future demand, which may lead to gas supply interruptions at critical moments.

[0004] (2) Frequent manual intervention: Even in an automated system, humans are still required to determine when to start the switching procedure, and some key steps in the switching process still require manual confirmation, which reduces the overall efficiency and reliability of the system.

[0005] (3) Unreasonable switching timing: Due to the lack of accurate prediction of the output of online ISO tank cars, the switching timing is often too conservative (switching in advance causes waste of resources) or too risky (delayed switching causes insufficient supply), making it difficult to achieve the best economic benefits. Summary of the invention

[0006] In order to solve the above problems existing in the prior art, the present invention provides an automatic switching method and system based on gas supply equipment. The real-time pressure data and temperature data of the online ISO tank truck are collected through the tank truck's built-in sensor, and the loading cumulative flow data, gas loading method data, loading process parameters, tank truck data are obtained. The ambient temperature data is collected through the temperature sensor; The preprocessing data is obtained by calculating the preprocessing model according to the real-time pressure data, the real-time temperature data, the tank truck data, the gas loading method data, and the ambient temperature data; The tank truck output flow prediction result is obtained by calculating the prediction model according to the pre-processing data, the loading cumulative flow data, the loading process parameters, and the loading cumulative flow data; An output flow threshold is preset, and a first judgment result is obtained according to the tank truck output flow prediction result and the output flow threshold. The intelligent terminal generates an adaptive signal according to the first judgment result to control the output valve of the standby ISO tank truck to open, and judges the real-time pressure data to obtain a second judgment result. The intelligent terminal controls the output valve of the online ISO tank truck to close according to the second judgment result.

[0007] Specifically, the loading process parameters include the storage capacity data, maximum filling rate, and loading volume data of the ISO tank truck; the tank truck data include the valve type, pipeline material, and pipeline design type of the ISO tank truck; the preprocessing data includes quantitative loading data, quantitative tank truck data, pressure sequence, temperature sequence, and ambient temperature sequence.

[0008] Specifically, the preprocessing model includes: According to the gas loading mode data and the tank truck data, the quantitative loading data and the quantitative tank truck data are obtained by digitization; Adding a timestamp according to the real-time pressure data, the real-time temperature data, and the ambient temperature data to obtain time series pressure data, time series temperature data, and time series ambient temperature data; The time-series pressure data, the time-series temperature data, and the time-series ambient temperature data are stored to obtain the pressure sequence, the temperature sequence, and the ambient temperature sequence.

[0009] Specifically, the prediction model includes: A preset time window is used, and the pressure sequence, the temperature sequence, and the ambient temperature sequence are intercepted according to the time window to obtain a predicted pressure sequence, a predicted temperature sequence, and a predicted ambient temperature sequence; According to the predicted pressure sequence, the predicted temperature sequence, and the predicted ambient temperature sequence, a clean pressure sequence, a clean temperature sequence, and a clean ambient temperature sequence are calculated by eliminating a model; Normalized data is obtained by normalizing the clean pressure sequence, the clean temperature sequence, the clean ambient temperature sequence, the loading cumulative flow data, the loading process parameters, and the loading cumulative flow data. The tank truck output flow prediction result is obtained by calculating the normalized data through a BP neural network.

[0010] Specifically, the elimination model includes: S201: Calculating a pressure average value according to the predicted pressure sequence; S202: obtaining a traversal element by sequential traversal according to the predicted pressure sequence, calculating a pressure error according to the traversal element and the pressure average value, and calculating a standard measurement difference according to the traversal element and the pressure average value by using a Bessel formula; S203: Determine whether the absolute value of the pressure error is greater than three times the standard measurement error. If so, remove the traversed elements to obtain the clean pressure sequence; if not, repeat steps S202-S203 until the traversal of the predicted pressure sequence is completed.

[0011] Specifically, the first judgment result is obtained by judging according to the tank truck output flow prediction result and the output flow threshold, including: Determine whether the predicted result of the tank truck output flow is greater than the output flow threshold. If yes, output the first judgment result as no processing; if no, output the first judgment result as opening the standby ISO tank truck output valve.

[0012] Specifically, the judging the real-time pressure data to obtain a second judging result specifically includes: A preset pressure threshold is used to determine whether the real-time pressure data is greater than the pressure threshold. If yes, the second judgment result is output to close the output valve of the online ISO tank truck; if not, no processing is performed.

[0013] An automatic switching system based on gas supply equipment, comprising: a collection module, a preprocessing module, a prediction module, and a control module; The acquisition module is used to collect real-time pressure data and real-time temperature data of the online ISO tank truck through the tank truck's built-in sensor, obtain the loading cumulative flow data, gas loading method data, loading process parameters, tank truck data, and collect ambient temperature data through the temperature sensor; The preprocessing module is used to calculate the preprocessing data through a preprocessing model according to the real-time pressure data, the real-time temperature data, the tank truck data, the gas loading method data, and the ambient temperature data; The prediction module is used to calculate the tank truck output flow prediction result through the prediction model according to the pre-processing data, the loading cumulative flow data, and the loading process parameters; The control module is used to preset an output flow threshold, and obtain a first judgment result based on the tank truck output flow prediction result and the output flow threshold. The intelligent terminal generates an adaptive signal to control the output valve of the standby ISO tank truck to open according to the first judgment result, and judges the real-time pressure data to obtain a second judgment result. The intelligent terminal controls the output valve of the online ISO tank truck to close according to the second judgment result.

[0014] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the automatic switching method based on the gas supply device as described above is implemented.

[0015] A storage medium containing computer executable instructions, wherein the computer executable instructions are used to perform the automatic switching method based on the gas supply device as described above when executed by a computer processor.

[0016] The beneficial effects of the present invention are: (1) This method and system innovatively introduces a prediction model that accurately predicts the remaining output of the online ISO tank truck based on multiple dimensions such as the internal pressure data, temperature data, ambient temperature data, and process parameters of the ISO tank truck. Based on this prediction result, the system can automatically generate an adaptive signal to predict in advance when the output valve of the standby ISO tank truck needs to be started, thereby ensuring the continuity and stability of gas supply.

[0017] (2) By setting up an intelligent valve control strategy, when it is predicted that the online ISO tank car is about to run out of gas or reaches a preset low threshold, the system will not only automatically open the output valve of the standby ISO tank car, but also monitor the internal pressure of the online ISO tank car in real time. Once it detects that the internal pressure drops to near 0, the system will immediately close the output valve of the online ISO tank car, avoiding supply interruption caused by complete exhaustion of gas, while also reducing potential gas waste caused by premature closure.

[0018] (3) By setting the wired data transmission mode and the wireless transmission mode, the wireless communication mode adopts the ModbusTCP protocol, and the wired communication mode adopts the RS485 communication protocol. When the system is running, the two communication modes run simultaneously. When the intelligent terminal sends a control instruction to the tank truck output valve, the control instruction is added with a timestamp and transmitted to the tank truck output valve by wireless and wired modes at the same time. This method can ensure that the tank truck output valve can determine that the two modes transmit the same control signal based on the timestamp, and can ensure that if one communication mode fails, the other communication mode can also maintain the normal operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0020] Figure 1 The figure is a flow chart of an automatic switching method based on gas supply equipment of the present invention. DETAILED DESCRIPTION

[0021] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0022] See also Figure 1 , an automated switching method based on gas supply equipment, The real-time pressure data and temperature data of the online ISO tank truck are collected through the tank truck's built-in sensor, and the loading cumulative flow data, gas loading method data, loading process parameters, tank truck data are obtained. The ambient temperature data is collected through the temperature sensor; The preprocessing data is obtained by calculating the preprocessing model according to the real-time pressure data, the real-time temperature data, the tank truck data, the gas loading method data, and the ambient temperature data; The tank truck output flow prediction result is obtained by calculating the prediction model according to the pre-processing data, the loading cumulative flow data, and the loading process parameters; An output flow threshold is preset, and a first judgment result is obtained according to the tank truck output flow prediction result and the output flow threshold. The intelligent terminal generates an adaptive signal according to the first judgment result to control the output valve of the standby ISO tank truck to open, and judges the real-time pressure data to obtain a second judgment result. The intelligent terminal controls the output valve of the online ISO tank truck to close according to the second judgment result.

[0023] It should be noted that the Chinese translation of ISO is International Standardization.

[0024] In this embodiment, the communication mode between the intelligent terminal and the ISO tank truck includes a wired communication mode and a wireless communication mode. The wireless communication mode adopts the ModbusTCP protocol, and the wired communication mode adopts the RS485 communication protocol. When the system is running, the two communication modes are running at the same time. When the intelligent terminal sends a control instruction to the tank truck output valve, the control instruction is added with a timestamp and transmitted to the tank truck output valve by wireless and wired modes at the same time. This method can ensure that the tank truck output valve can determine that the two modes transmit the same control signal based on the timestamp, and can ensure that if one communication mode fails, the other communication mode can also maintain the normal operation of the system.

[0025] It should be noted that the built-in sensors of the tank truck include a pressure sensor and a temperature sensor.

[0026] Specifically, the loading process parameters include storage capacity data, maximum filling rate, and loading volume data of the ISO tank truck.

[0027] Specifically, the tank truck data includes valve type, pipeline material, and pipeline design type of the ISO tank truck.

[0028] Specifically, the preprocessed data includes quantified loading data, quantified tank truck data, pressure sequence, temperature sequence, and ambient temperature sequence.

[0029] Specifically, the preprocessing model includes: According to the gas loading mode data and the tank truck data, the quantitative loading data and the quantitative tank truck data are obtained by digitization; Adding a timestamp according to the real-time pressure data, the real-time temperature data, and the ambient temperature data to obtain time series pressure data, time series temperature data, and time series ambient temperature data; The time-series pressure data, the time-series temperature data, and the time-series ambient temperature data are stored to obtain the pressure sequence, the temperature sequence, and the ambient temperature sequence.

[0030] Specifically, the prediction model includes: A preset time window is used, and the pressure sequence, the temperature sequence, and the ambient temperature sequence are intercepted according to the time window to obtain a predicted pressure sequence, a predicted temperature sequence, and a predicted ambient temperature sequence; According to the predicted pressure sequence, the predicted temperature sequence, and the predicted ambient temperature sequence, a clean pressure sequence, a clean temperature sequence, and a clean ambient temperature sequence are calculated by eliminating a model; Normalized data is obtained by normalizing the clean pressure sequence, the clean temperature sequence, the clean ambient temperature sequence, the loading cumulative flow data, the loading process parameters, and the loading cumulative flow data. The tank truck output flow prediction result is obtained by calculating the normalized data through a BP neural network.

[0031] In this embodiment, the BP neural network includes an input layer, an output layer, and six hidden layers, and the input layer contains 10 neurons.

[0032] Specifically, the elimination model includes: S201: Calculating a pressure average value according to the predicted pressure sequence; S202: obtaining a traversal element by sequential traversal according to the predicted pressure sequence, calculating a pressure error according to the traversal element and the pressure average value, and calculating a standard measurement difference according to the traversal element and the pressure average value by using a Bessel formula; The Bessel formula expression is: , in, Y is the standard measurement error, n To predict the number of elements in the pressure series, i is a variable parameter, Xi For the i element values, a is the average pressure; S203: Determine whether the absolute value of the pressure error is greater than three times the standard measurement error. If so, remove the traversed elements to obtain the clean pressure sequence; if not, repeat steps S202-S203 until the traversal of the predicted pressure sequence is completed.

[0033] It should be noted that the predicted temperature sequence and the predicted ambient temperature sequence have the same processing procedure of obtaining the clean temperature sequence and the clean ambient temperature sequence by eliminating the model calculation.

[0034] Specifically, the first judgment result is obtained by judging according to the tank truck output flow prediction result and the output flow threshold, including: Determine whether the predicted result of the tank truck output flow is greater than the output flow threshold. If yes, output the first judgment result as no processing; if no, output the first judgment result as opening the standby ISO tank truck output valve.

[0035] Specifically, judging the real-time pressure data to obtain a second judgment result specifically includes: A preset pressure threshold is used to determine whether the real-time pressure data is greater than the pressure threshold. If yes, the second judgment result is output to close the output valve of the online ISO tank truck; if not, no processing is performed.

[0036] An automatic switching system based on gas supply equipment, comprising: a collection module, a preprocessing module, a prediction module, and a control module; The acquisition module is used to collect real-time pressure data and real-time temperature data of the online ISO tank truck through the tank truck's built-in sensor, obtain the loading cumulative flow data, gas loading method data, loading process parameters, tank truck data, and collect ambient temperature data through the temperature sensor; The preprocessing module is used to calculate the preprocessing data through a preprocessing model according to the real-time pressure data, the real-time temperature data, the tank truck data, the gas loading method data, and the ambient temperature data; The prediction module is used to calculate the tank truck output flow prediction result through the prediction model according to the pre-processing data, the loading cumulative flow data, and the loading process parameters; The control module is used to preset an output flow threshold, and obtain a judgment result through a judgment model calculation based on the tank truck output flow prediction result and the output flow threshold. The intelligent terminal generates an adaptive signal based on the judgment result to control the output valve of the online ISO tank truck to close and the output valve of the standby ISO tank truck to open.

[0037] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the automatic switching method based on the gas supply device as described above is implemented.

[0038] A storage medium containing computer executable instructions, wherein the computer executable instructions are used to perform the automatic switching method based on the gas supply device as described above when executed by a computer processor.

[0039] This embodiment provides an automatic switching method for five ISO tank trucks based on automatic switching of gas supply equipment, comprising the following steps: Step 1: The number of online ISO tank trucks and the number of standby ISO tank trucks are preset. The intelligent terminal generates an adaptive signal to control the opening of the ISO tank truck output valve according to the number of online ISO tank trucks and the sequence of fully loaded ISO tank trucks; Step 2: Collect the real-time pressure data and real-time temperature data of the online ISO tank truck through the tank truck’s built-in sensors, obtain the loading cumulative flow data, gas loading method data, loading process parameters, tank truck data, and collect the ambient temperature data through the temperature sensor; Step 3: obtaining preprocessing data by calculating through a preprocessing model according to the real-time pressure data, the real-time temperature data, the tank truck data, the gas loading method data, and the ambient temperature data; Step 4: Obtaining a tank truck output flow prediction result by calculating the prediction model according to the preprocessing data, the loading cumulative flow data, the loading process parameters, and the loading cumulative flow data; Step 5: preset an output flow threshold, calculate a first judgment result through a judgment model according to the output flow prediction result of the tank truck and the output flow threshold, the intelligent terminal generates an adaptive signal according to the first judgment result to control the output valve of the standby ISO tank truck to open, and judges the real-time pressure data to obtain a second judgment result, and the intelligent terminal controls the output valve of the online ISO tank truck to close according to the second judgment result; Step 6: Obtain the remaining quantity of the spare ISO tank car, preset a remaining quantity threshold, and determine whether the remaining quantity of the ISO tank car is greater than the remaining quantity threshold. If yes, no processing is performed; if not, an alarm signal of insufficient number of spare ISO tank cars is generated.

[0040] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device.

[0041] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0042] The program code included on the computer readable medium can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, RF, etc., or any suitable combination of the above. The computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or their combinations, and the programming language includes object-oriented programming languages-such as Java, Smalltalk, C++, and also includes conventional procedural programming languages-such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0043] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. An automatic switching method based on a gas supply device, characterized in that: include: The real-time pressure data and temperature data of the online ISO tank truck are collected through the tank truck's built-in sensor, and the loading cumulative flow data, gas loading method data, loading process parameters, tank truck data are obtained. The ambient temperature data is collected through the temperature sensor; The preprocessing data is obtained by calculating the preprocessing model according to the real-time pressure data, the real-time temperature data, the tank truck data, the gas loading method data, and the ambient temperature data; The preprocessing model includes: According to the gas loading mode data and the tank truck data, quantitative loading data and quantitative tank truck data are obtained by digitization; Adding a timestamp according to the real-time pressure data, the real-time temperature data, and the ambient temperature data to obtain time series pressure data, time series temperature data, and time series ambient temperature data; The time series pressure data, the time series temperature data, and the time series ambient temperature data are stored to obtain a pressure sequence, a temperature sequence, and an ambient temperature sequence; The tank truck output flow prediction result is obtained by calculating the prediction model according to the pre-processing data, the loading cumulative flow data, and the loading process parameters; The prediction model includes: A preset time window is used, and the pressure sequence, the temperature sequence, and the ambient temperature sequence are intercepted according to the time window to obtain a predicted pressure sequence, a predicted temperature sequence, and a predicted ambient temperature sequence; According to the predicted pressure sequence, the predicted temperature sequence, and the predicted ambient temperature sequence, a clean pressure sequence, a clean temperature sequence, and a clean ambient temperature sequence are calculated by eliminating a model; Normalizing the clean pressure sequence, the clean temperature sequence, the clean ambient temperature sequence, the loading cumulative flow data, the loading process parameters, and the loading cumulative flow data to obtain normalized data, and calculating the tank truck output flow prediction result through a BP neural network based on the normalized data; An output flow threshold is preset, and a first judgment result is obtained according to the tank truck output flow prediction result and the output flow threshold. The intelligent terminal generates an adaptive signal according to the first judgment result to control the output valve of the standby ISO tank truck to open, and a second judgment result is obtained by judging the real-time pressure data. The intelligent terminal controls the output valve of the online ISO tank truck to close according to the second judgment result.

2. The automatic switching method based on the gas supply equipment according to claim 1, characterized in that: The loading process parameters include the storage capacity data, maximum filling rate, and loading volume data of the ISO tank truck; the tank truck data include the valve type, pipeline material, and pipeline design type of the ISO tank truck; the preprocessing data includes quantitative loading data, quantitative tank truck data, pressure sequence, temperature sequence, and ambient temperature sequence.

3. The automatic switching method based on the gas supply equipment according to claim 1, characterized in that: The culling model includes: S201: Calculating an average pressure value according to the predicted pressure sequence; S202: obtaining a traversal element by sequential traversal according to the predicted pressure sequence, calculating a pressure error according to the traversal element and the pressure average value, and calculating a standard measurement difference according to the traversal element and the pressure average value by using a Bessel formula; S203: Determine whether the absolute value of the pressure error is greater than three times the standard measurement error. If so, remove the traversed elements to obtain the clean pressure sequence; if not, repeat steps S202-S203 until the traversal of the predicted pressure sequence is completed.

4. The automatic switching method based on the gas supply equipment according to claim 1, characterized in that: A first judgment result is obtained by judging according to the tank truck output flow prediction result and the output flow threshold, including: Determine whether the predicted result of the tank truck output flow is greater than the output flow threshold. If yes, output the first judgment result as no processing; if no, output the first judgment result as opening the standby ISO tank truck output valve.

5. The automatic switching method based on the gas supply equipment according to claim 1, characterized in that: The step of judging the real-time pressure data to obtain a second judgment result specifically includes: A preset pressure threshold is used to determine whether the real-time pressure data is greater than the pressure threshold. If yes, the second judgment result is output to close the output valve of the online ISO tank truck; if not, no processing is performed.

6. An automatic switching system based on a gas supply device, characterized in that: include: Acquisition module, preprocessing module, prediction module, control module; The acquisition module is used to collect real-time pressure data and real-time temperature data of the online ISO tank truck through the tank truck's built-in sensor, obtain the loading cumulative flow data, gas loading method data, loading process parameters, tank truck data, and collect ambient temperature data through the temperature sensor; The preprocessing module is used to calculate the preprocessing data through a preprocessing model according to the real-time pressure data, the real-time temperature data, the tank truck data, the gas loading method data, and the ambient temperature data; The prediction module is used to calculate the tank truck output flow prediction result through the prediction model according to the pre-processing data, the loading cumulative flow data, and the loading process parameters; The control module is used to preset an output flow threshold, and obtain a first judgment result based on the tank truck output flow prediction result and the output flow threshold. The intelligent terminal generates an adaptive signal to control the output valve of the standby ISO tank truck to open according to the first judgment result, and judges the real-time pressure data to obtain a second judgment result. The intelligent terminal controls the output valve of the online ISO tank truck to close according to the second judgment result.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the automatic switching method based on the gas supply equipment as described in any one of claims 1 to 5 is implemented.

8. A storage medium containing computer executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, they are used to perform the automatic switching method based on a gas supply device as claimed in any one of claims 1 to 5.

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