Intelligent optimization method, device, medium and equipment for power and gas integrated system

By measuring the pressure at the user end in real time and intelligently finding optimization, adjusting the switching state of the peak-regulating air compressor unit, the energy waste problem of the power gas integrated system in the prior art is solved, and the energy supply balance and energy saving effect is achieved.

CN119828788APending Publication Date: 2025-04-15WUHAI BAOGANG WANTENG STEEL CO LTD
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Patent Information

Application Number
CN202411908745.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-23
Publication Date
2025-04-15

AI Technical Summary

Technical Problem

When the existing power gas integrated system supplies air, it is easy to cause energy waste, which may lead to excessive supply and insufficient supply, which cannot meet the energy needs of the user side.

Method used

By measuring the pressure at the user terminal in real time, determining the relationship with the set absolute threshold and the upper pressure allowable limit, determining the switching state of the peak-regulating air compressor unit, and intelligently seeking optimization based on this information, adjusting the start and stop state of the peak-regulating air compressor unit to achieve balance of energy supply.

Benefits of technology

Through the intelligent optimization method, the gas supply can be adjusted according to the real-time needs of the user side and the peak-regulating air compressor unit status at the production side, avoid energy waste, ensure that the energy needs of the user side are met, and the purpose of energy saving can be achieved.

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Abstract

The invention relates to an intelligent optimization method, device, medium and equipment for a power gas integrated system, and the method comprises the following steps: measuring the pressure of a user side in real time, and obtaining a real-time pressure value; judging the size relation between the real-time pressure value and a set absolute threshold value and a pressure allowable upper limit value; the on-off state of the peak shaving air compressor unit is determined; and according to the judgment result and the on-off state, intelligent optimization is carried out on whether the peak shaving air compressor unit is added or stopped or not. According to the method disclosed by the invention, the start and stop of the peak shaving air compressor unit are intelligently optimized and adjusted according to the real-time pressure of the user side changed due to the increase of peak shaving users and the on-off working state of the peak shaving air compressor unit of the production side, so that the energy supply of the production side and the energy demand of the user side are balanced, and the purpose of saving energy is achieved.
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Description

Technical Field

[0001] The present invention belongs to the field of energy technology, and specifically relates to an intelligent optimization method, device, medium and equipment for a power gas integration system. Background Art

[0002] In the prior art, an integrated system using compressed air and nitrogen as power gas is used in production supply. However, since the integrated system is used as the supply end, when supplying air, if the air supplied is excessive, that is, the amount supplied is greater than the amount actually required by the receiving end, the excess air is treated as waste gas, which easily causes energy waste; on the other hand, if the air supplied is insufficient, that is, the amount of air supplied is less than the amount actually required by the receiving end, it is easy to cause insufficient demand at the receiving end, making the receiving end unable to work normally. Therefore, when supplying air, it is necessary not only to control the equipment or components at the supply end, but also to consider the energy demand at the receiving end or the user end, so that the supply of energy medium can reach the user quickly, stably and safely. However, there is no report in this regard in the prior art. Therefore, it is urgent to provide an intelligent optimization method for a power gas integrated system. Summary of the invention

[0003] In order to overcome the problems existing in the prior art, the present invention provides an intelligent optimization method, device, medium and equipment for a power gas integrated system, which are used to solve the current problems.

[0004] An intelligent optimization method for a power gas integrated system, the system includes a compressed air subsystem, the compressed air subsystem includes a production end and a user end, the production end includes a normally open air compressor unit and a peak-shaving air compressor unit, the user end includes a peak-shaving user and a fixed user, the normally open air compressor unit and the peak-shaving air compressor unit provide air energy supply to the peak-shaving user and the fixed user, and the method includes the following steps:

[0005] S1. Measure the pressure of the user end in real time to obtain the real-time pressure value;

[0006] S2. Determine the relationship between the real-time pressure value and the set absolute threshold and the upper limit of the pressure allowable value;

[0007] S3. Determine the on / off status of the peak load air compressor unit;

[0008] S4. Intelligently search for the optimal solution on whether to add or stop the peak load air compressor unit based on the judgment result of S2 and the switch status in S3.

[0009] According to the above aspects and any possible implementation method, an implementation method is further provided, where if the real-time pressure value is less than a set absolute threshold, it indicates that the user terminal is in an under-voltage state.

[0010] According to the aspects described above and any possible implementation method, an implementation method is further provided, where if the real-time pressure value is greater than or equal to the minimum absolute threshold and less than the allowable upper limit of the pressure, it indicates that the user terminal is in a normal state.

[0011] According to the above aspects and any possible implementation method, an implementation method is further provided, where if the real-time pressure value is greater than the upper limit of the pressure allowed by the user terminal, it indicates that the user terminal is in an overpressure state.

[0012] According to the aspects described above and any possible implementation method, an implementation method is further provided, wherein the switch status of the peak-shaving air compressor unit includes three types: fully open, fully closed, and not fully open or not fully closed.

[0013] According to the aspects described above and any possible implementation method, an implementation method is further provided, in which the conditions for starting the peak-shaving air compressor in the intelligent optimization include: all the peak-shaving air compressors are fully turned off and the pressure at the user end is too low; or all the peak-shaving air compressors are not fully turned on or off.

[0014] According to the aspects described above and any possible implementation method, an implementation method is further provided, and the conditions for stopping the peak-shaving air compressor in the intelligent optimization include: all the peak-shaving air compressors are fully open or not fully open or not fully closed, but the pressure at the user end exceeds the upper limit.

[0015] The present invention also provides an intelligent optimization device for a power gas integrated system, wherein the integrated system includes a compressed air subsystem, the compressed air subsystem includes a production end and a user end, the production end includes a normally open air compressor unit and a peak-shaving air compressor unit, the user end includes a peak-shaving user and a fixed user, the normally open air compressor unit and the peak-shaving air compressor unit provide air energy supply to the peak-shaving user and the fixed user, and the device includes the following modules:

[0016] The measurement module is used to measure the pressure of the user end in real time and obtain the real-time pressure value;

[0017] A judgment module, used to judge the relationship between the real-time pressure value and the set absolute threshold and the upper limit of the pressure allowance;

[0018] A determination module, used to determine the on / off state of the peak load air compressor unit;

[0019] The intelligent optimization module is used to intelligently optimize whether to add or stop the peak-shaving air compressor unit based on the judgment result and the switch status.

[0020] The present invention also provides a computer storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the method described.

[0021] The present invention further provides an electronic device, comprising:

[0022] A memory storing executable instructions;

[0023] A processor is used to execute the executable instructions in the memory to implement the method.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The present invention provides an intelligent optimization method for a power gas integrated system, the method comprising:

[0026] Measure the pressure at the user end in real time to obtain a real-time pressure value; determine the relationship between the real-time pressure value and the set absolute threshold and the upper limit of the pressure allowance; determine the switch state of the peak-shaving air compressor unit; and intelligently optimize whether to add or stop the peak-shaving air compressor unit based on the judgment result and the switch state. The method of the present invention intelligently optimizes the start and stop of the peak-shaving air compressor unit based on the real-time pressure at the user end that changes due to the increase in peak-shaving users and the switch working state of the peak-shaving air compressor unit at the production end, thereby achieving a balance between the energy supply at the production end and the energy demand at the user end, and achieving the purpose of energy saving. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a structural schematic diagram of the power gas integrated system of the present invention;

[0028] Figure 2 It is a schematic diagram of the optimization method of the present invention.

[0029] Figure 3 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0030] In order to better understand the technical solution of the present invention, the content of the present invention includes but is not limited to the specific implementation methods described below, and similar technologies and methods should be considered to be within the scope of protection of the present invention. In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0031] It should be clear that the embodiments described in the present invention are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0033] like Figure 1 As shown, the integrated power gas system of the present invention includes a compressed air subsystem and a nitrogen subsystem, the compressed air subsystem includes a production end and a user end, the production end includes a normally open air compressor unit and a peak-shaving air compressor unit, the user end includes a peak-shaving user and a fixed user, the normally open air compressor unit and the peak-shaving air compressor unit provide air energy supply to the peak-shaving user and the fixed user, the fixed user is a user who uses the air compressor unit on a fixed basis, the normally open air compressor unit can meet the minimum demand of the user end by running, the peak-shaving user at the user end is also turned on for a long time, but can intelligently switch from using compressed air to using nitrogen, or from using nitrogen to using compressed air according to the compressed air usage at the user end, which is equivalent to occasionally turning on the compressed air subsystem. After the production at the user end is adjusted, such as the production of a phased process, the demand for compressed air will increase. If the production end is only operated by the normally open air compressor unit, it may cause insufficient air supply, which cannot meet the needs of the user end. It is necessary to start the peak-shaving air compressor unit to assist in providing air to the user end. Therefore, the present invention intelligently optimizes the increase or stop of the peak-shaving air compressor unit according to the conditions of the user end and the production end. The nitrogen subsystem also includes a production end and a user end, and the production end includes a normally open air compressor unit and a peak-shaving air compressor unit. The present invention does not describe the situation of the nitrogen subsystem.

[0034] like Figure 2 As shown, the present invention provides an intelligent optimization method for a power gas integrated system, the method comprising the following steps:

[0035] S1. Measure the pressure of the user end in real time to obtain the real-time pressure value;

[0036] S2. Determine the relationship between the real-time pressure value and the set absolute threshold and the upper limit of the pressure allowable value;

[0037] S3. Determine the on / off status of the peak load air compressor unit;

[0038] S4. Intelligently search for the optimal solution on whether to add or stop the peak load air compressor unit based on the judgment result of S2 and the switch status in S3.

[0039] Specifically, the method of the present invention has the following specific processes: 1) Real-time measurement of the pressure at the user end to obtain a real-time pressure value, which is represented by γ, and the range is J=[0, I]. I is the rated pressure of the air compressor, that is, if the rated pressure of the air compressor is 1.0Mpa, I is equal to 1.0Mpa, which is the maximum pressure compressed by the air compressor. γ is the real-time pressure at the user end. This pressure is actually provided by the compressor at the production end. The pressure of the compressor is set in advance according to the properties of the compressor. If the compressor sets the pressure to the rated pressure, that is, I, in principle, the pressure at the user end will also reach I, but considering the resistance loss, it will generally be less than I. The pressure at the user end can be measured using existing instruments, and the present invention does not limit it.

[0040] 2). Determine the relationship between the measured user-side pressure and the set minimum absolute threshold and the upper limit of the pressure allowance.

[0041] Setting 0 is the minimum absolute threshold of pressure required by the user end. 0 =0.62Mpa, or other values, depending on the actual needs of the user. This value is used to determine whether the user is in an undervoltage state. If it is lower than this value, it indicates that the pressure at the user is too low;

[0042] Set γ1 as the upper limit of the pressure allowed at the user end. In the present invention, γ1=0.78Mpa, or other values ​​can be used. It is related to the actual needs of the user end. γ1 also belongs to J. γ1 is the upper limit of the pressure at the user end artificially defined according to the user end's demand for pressure. It is used to measure whether the gas volume and pressure supplied by the production end meet the user end's requirements without excess. If the pressure at the user end is higher than γ 1 , indicating that the supply at the production end is too high and needs to be adjusted to reduce the supply to achieve energy saving. Therefore, this value is used to determine whether the user end is in an overpressure state. If the actual measured pressure is higher than this value, it indicates that the air supply is excessive and the supply exceeds the demand.

[0043] There are three situations in which the real-time measured user-side pressure has a relationship with the set minimum absolute threshold and the upper limit of the pressure allowance:

[0044] If the pressure at the user end is lower than or less than the set minimum absolute threshold, it indicates that the pressure at the user end is too low. This may be caused by adjustments to the production process. For example, a fixed user temporarily increases production, temporarily loads materials, or repairs production, which will cause an increase in gas consumption and a decrease in system pressure. That is, only the normally open air compressor unit at the production end cannot meet the user end demand, and an additional peak-shaving air compressor needs to be opened. In this case, the variable J is used. γ0 It is expressed as shown in formula (1).

[0045] J γ0={γ∈J|γ<γ 0} (1)

[0046] If the real-time measured pressure at the user end is greater than or equal to the minimum absolute threshold, but at the same time less than the upper limit of the pressure allowed at the user end, the variable J is used in this case. γ1 To express it, its expression is shown in formula (2). This situation indicates that the production end not only has a normally open air compressor in operation, but also has an additional peak-shaving air compressor. The current pressure at the user end is in a normal state and does not need to be adjusted. That is, there is no need to add or stop the peak-shaving air compressor.

[0047] J γ1 ={γ∈J|γ 0 ≤γ<γ 1} (2)

[0048] If the real-time measured pressure at the user end is greater than the upper limit of the user end pressure, its expression is as shown in formula (3), indicating that the user end pressure is in an overpressure state, that is, there are too many peak-shaving air compressors running at the production end. At this time, the gas supplied is greater than the actual demand of the user end, and some peak-shaving air compressors need to be stopped.

[0049] {J γ0 ∪J γ1} c (3)

[0050] The peak load air compressor switch status can be set to fully open, fully closed, not fully open or not fully closed. i represents the on / off state of the i-th peak load air compressor, and its value range is {0, 1}, h i =1 is fully open, h i =0 means fully off, i is a positive integer. Set H as the on / off state set of the peak load air compressor, then H = {h 1 ,h 2 ,…,h n}, there are three types: fully open, fully closed, not fully open or not fully closed, and its power set P(H) is 2 n .

[0051] The fully open state of all peak load air compressors is expressed by the following expression (4):

[0052] H * ={1, 1, 1, ..., 1}(4), this H * Indicates that all peak load air compressors are fully open;

[0053] The fully closed state of all peak load air compressors is expressed by the following expression (5):

[0054] H ** ={0, 0, 0, ..., 0}(5), this H **Indicates that all peak load air compressors are in full OFF state;

[0055] The fully open state of all peak load air compressors is expressed by the following expression (6):

[0056] H *** ={(H * ∪H ** ) C}(6), this H *** It indicates that all peak-shaving air compressors are not fully open or fully closed.

[0057] 3) Intelligent optimization for adding peak-shaving air compressors is performed based on the relationship between the real-time measured user-side pressure and the minimum absolute threshold, the allowable upper limit of the user-side pressure, and the switch status of the peak-shaving air compressor.

[0058] Set the state function φ of intelligent optimization: Where D represents the start-up of the peak load air compressor, expressed as To characterize, there are two cases: the first one is φ(H ** , Jγ0) means that all the peak-shaving air compressors are completely shut down, and the pressure at the user end is too low, and one, some or all of the peak-shaving air compressors need to be added. The present invention preferably adds one, provided that the peak-shaving and optimization are performed under normal production conditions by default. Only in the resumption of production after overhaul, some or all of the peak-shaving air compressors are turned on; the second type φ(H *** , Jγ0) indicates that the peak-shaving air compressor is not fully opened or fully closed, and the user pressure is too low, and some peak-shaving air compressors need to be added. The present invention preferably adds one unit, provided that the peak-shaving and optimization are performed by default under normal production conditions.

[0059] E means stopping the peak load air compressor, expressed as To characterize, there are two cases: the first one is φ(H * , (Jγ0∪Jγ1) C ) indicates that all the peak-shaving air compressors are fully open, and the pressure at the user end exceeds the upper limit, that is, the user end is in an overpressure state, then it is necessary to stop one, some or all of the peak-shaving air compressors. The present invention preferably stops one peak-shaving air compressor; the second type φ(H *** , (Jγ0∪Jγ1) C )φ(H *** , Jγ0) indicates that the peak-shaving air compressor is not fully open or fully closed, but the pressure at the user end exceeds the upper limit, that is, the user end is in an overpressure state, and it is necessary to stop one, some or all of the peak-shaving air compressors. The present invention preferably stops one peak-shaving air compressor.

[0060] Y means to maintain the current peak load air compressor unchanged, using the expression Y = φ (Jγ 1)(9) indicates that the pressure at the user end is in a normal state. At this time, there is no need to adjust the production end, that is, there is no need to increase or stop the peak-shaving air compressor.

[0061] As an embodiment disclosed by the present invention, the present invention also provides an intelligent optimization device for a power gas integrated system, the device comprising the following modules:

[0062] The measurement module is used to measure the pressure of the user end in real time and obtain the real-time pressure value;

[0063] The judgment module is used to judge the relationship between the real-time pressure value and the set absolute threshold and the upper limit of the pressure allowance:

[0064] A determination module, used to determine the on / off state of the peak load air compressor unit;

[0065] The intelligent optimization module is used to intelligently optimize whether to add or stop the peak-shaving air compressor unit based on the judgment result and the switch status.

[0066] like Figure 3 As shown, an embodiment of the present invention further provides an electronic device 60, the electronic device comprising:

[0067] at least one processor, and;

[0068] a memory communicatively coupled to the at least one processor, wherein;

[0069] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the aforementioned method.

[0070] An embodiment of the present invention further provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by a computer, the computer executes the aforementioned method.

[0071] Reference below Figure 3 , which shows a schematic structural diagram of an electronic device 60 suitable for implementing an embodiment of the present invention.

[0072] The electronic devices in the embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. The electronic devices shown in the figures are only examples and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0073] like Figure 3 As shown, the electronic device 60 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 608 into a random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic device 60 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0074] Typically, the following devices may be connected to the I / O interface 605: input devices 606 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 608 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 609. The communication device 609 may allow the electronic device 60 to communicate with other devices wirelessly or by wire to exchange data. Although the electronic device 60 with various devices is shown in the figure, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have alternatively.

[0075] In particular, according to an embodiment of the present invention, the process described above with reference to the flow chart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer readable medium, and the computer program includes a program code for executing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from the network through a communication device 609, or installed from a storage device 608, or installed from a ROM 602. When the computer program is executed by the processing device 601, the above-mentioned functions defined in the method of the embodiment of the present invention are executed.

[0076] It should be noted that the computer-readable medium of the present invention can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. Computer-readable storage medium can be, for example, - but not limited to - a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples of computer-readable storage medium can include, but are not limited to: 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 the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, a device or a device or used in combination with it. In the present invention, a computer-readable signal medium can include a data signal propagated in a baseband or as a part of a carrier wave, wherein a computer-readable program code is carried. This propagated data signal can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium 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. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0077] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0078] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains at least two Internet Protocol addresses; sends a node evaluation request including the at least two Internet Protocol addresses to a node evaluation device, wherein the node evaluation device selects an Internet Protocol address from the at least two Internet Protocol addresses and returns it; receives the Internet Protocol address returned by the node evaluation device; wherein the obtained Internet Protocol address indicates an edge node in a content distribution network.

[0079] Alternatively, the computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device: receives a node evaluation request including at least two Internet Protocol addresses; selects an Internet Protocol address from the at least two Internet Protocol addresses; and returns the selected Internet Protocol address; wherein the received Internet Protocol address indicates an edge node in a content distribution network.

[0080] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or combinations thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may 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 may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0081] The above description shows and describes several preferred embodiments of the present invention, but as mentioned above, it should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the application concept described herein through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art shall not depart from the spirit and scope of the present invention, and shall be within the scope of protection of the claims attached to the present invention.

Claims

1. An intelligent optimization method for a power gas integrated system, characterized in that: The system includes a compressed air subsystem, the compressed air subsystem includes a production end and a user end, the production end includes a normally open air compressor unit and a peak-shaving air compressor unit, the user end includes a peak-shaving user and a fixed user, the normally open air compressor unit and the peak-shaving air compressor unit provide air energy supply to the peak-shaving user and the fixed user, and the method includes the following steps: S1. Measure the pressure of the user end in real time to obtain the real-time pressure value; S2. Determine the relationship between the real-time pressure value and the set absolute threshold and the upper limit of the pressure allowable value; S3. Determine the on / off status of the peak load air compressor unit; S4. Intelligently search for the optimal solution on whether to add or stop the peak load air compressor unit based on the judgment result of S2 and the switch status in S3.

2. The method according to claim 1, characterized in that If the real-time pressure value is less than the set absolute threshold, it indicates that the user terminal is in an undervoltage state.

3. The method according to claim 2, characterized in that If the real-time pressure value is greater than or equal to the minimum absolute threshold value and less than the allowable upper limit of pressure, it indicates that the user terminal is in a normal state.

4. The method according to claim 3, characterized in that If the real-time pressure value is greater than the upper limit of the pressure allowed by the user terminal, it indicates that the user terminal is in an overpressure state.

5. The method according to claim 4, characterized in that The switch states of the peak-shaving air compressor unit include fully open, fully closed, and not fully open or not fully closed.

6. The method according to claim 1, characterized in that The conditions for starting the peak-shaving air compressor in the intelligent optimization include: all the peak-shaving air compressors are fully turned off and the pressure at the user end is too low; or all the peak-shaving air compressors are not fully turned on or off.

7. The method according to claim 1, characterized in that The conditions for stopping the peak-shaving air compressor in the intelligent optimization include: all the peak-shaving air compressors are fully opened or not fully opened or not fully closed, but the pressure at the user end exceeds the upper limit.

8. An intelligent optimization device for a power gas integrated system, characterized in that: The integrated system includes a compressed air subsystem, which includes a production end and a user end. The production end includes a normally open air compressor unit and a peak-shaving air compressor unit. The user end includes a peak-shaving user and a fixed user. The normally open air compressor unit and the peak-shaving air compressor unit provide air energy supply to the peak-shaving user and the fixed user. The device includes the following modules: The measurement module is used to measure the pressure of the user end in real time and obtain the real-time pressure value; A judgment module, used to judge the relationship between the real-time pressure value and the set absolute threshold and the upper limit of the pressure allowance; A determination module, used to determine the on / off state of the peak load air compressor unit; The intelligent optimization module is used to intelligently optimize whether to add or stop the peak-shaving air compressor unit based on the judgment result and the switch status.

9. A computer storage medium, characterized in that: The medium stores a computer program, and the computer program is executed by a processor to implement the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises: A memory storing executable instructions; A processor, wherein the processor runs the executable instructions in the memory to implement the method according to any one of claims 1 to 7.