Intelligent optimization methods, devices, media and equipment for integrated power gas systems

Abstract

The present invention relates to an intelligent optimization method, device, medium and equipment for a power gas integration system, and the method includes: measuring the pressure of the user end in real time to obtain a real-time pressure value; judging the magnitude relationship between the real-time pressure value and a set absolute threshold; determining the switch state of the i-th nitrogen compressor in the peak-shaving nitrogen compressor group; and performing intelligent optimization adjustment on the i-th nitrogen compressor according to the judgment result, the switch state, the real-time nitrogen usage flow rate at the user end and the real-time nitrogen supply flow rate at the production end, wherein i is a natural number. The method of the present invention performs intelligent optimization adjustment on the start and stop of the peak-shaving nitrogen compressor group according to the real-time pressure at the user end that changes due to the increase of peak-shaving users, the flow rate of nitrogen and the switch working state of the peak-shaving nitrogen compressor group 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.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy supply regulation, 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 nitrogen or air as a power gas is used in production and supply. However, since the integrated system is used as the supply end, when supplying nitrogen, if the nitrogen supplied is excessive, that is, the amount supplied is greater than the amount actually required by the receiving end, the excess nitrogen supplied is treated as waste gas, which easily causes a waste of energy. On the other hand, if the nitrogen supplied is insufficient, that is, the amount of nitrogen 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 nitrogen, it is necessary not only to control the equipment or components at the supply end, but also to consider the energy demand and pressure conditions 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 the integrated pneumatic compression system of power gas. 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 to solve the current problems.

[0004] An intelligent optimization method for a power gas integrated system, the system comprising a nitrogen subsystem, the nitrogen subsystem comprising a production end and a user end, the production end comprising a normally open nitrogen compressor unit and a peak-shaving nitrogen compressor unit, the normally open nitrogen compressor unit and the peak-shaving nitrogen compressor unit providing nitrogen energy supply to the user end, the method comprising 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 value;

[0007] S3. Determine the switch status of the i-th nitrogen compressor in the peak-shaving nitrogen compressor unit;

[0008] S4. Perform intelligent optimization adjustment on the i-th nitrogen compressor according to the judgment result of S2, the switch status in S3, the real-time nitrogen usage flow at the user end and the real-time nitrogen supply flow at the production end, where i is a natural number.

[0009] The above aspects and any possible implementation method further provide an implementation method, where if the real-time pressure value is less than a set absolute threshold, it indicates that the pressure at the user end is too low and is in an underpressure state.

[0010] As described above, in any possible implementation, an implementation is further provided, where if the real-time pressure value is greater than or equal to the minimum absolute threshold, it indicates that the pressure at the user end is too high and is in a high pressure state.

[0011] According to the aspects described above and any possible implementation method, an implementation method is further provided, wherein the real-time nitrogen supply flow rate at the production end includes the sum of the compression capacity nitrogen flow rate of the normally open nitrogen compressor unit and the compression capacity nitrogen flow rate of all peak-shaving nitrogen compressors that are open or in operation.

[0012] According to the aspects described above and any possible implementation method, an implementation method is further provided, and the condition for starting the i-th peak-shaving nitrogen compressor is: the pressure at the user end is low and there is a real-time gas loss, and the real-time gas loss is the real-time nitrogen usage flow at the user end minus the compression capacity nitrogen flow of the normally open nitrogen compressor unit and the sum of the compression capacity nitrogen flow of the open peak-shaving nitrogen compressor unit. The value is less than the compression capacity nitrogen flow of the i-th peak-shaving nitrogen compressor that is closed or stopped.

[0013] According to the aspects described above and any possible implementation method, an implementation method is further provided, and the condition for stopping the i-th peak-shaving nitrogen compressor is: the pressure at the user end is too high and there is a real-time gas surplus, and the real-time gas surplus is the real-time nitrogen usage flow at the user end minus the compression capacity nitrogen flow of the normally open nitrogen compressor unit and the sum of the compression capacity nitrogen flow of the open peak-shaving nitrogen compressor unit. The value is greater than the compression capacity nitrogen flow of the open i-th peak-shaving unit.

[0014] According to the aspects described above and any possible implementation method, an implementation method is further provided, wherein the condition for maintaining the operating state of the i-th peak-shaving nitrogen compressor peak-shaving unit is that the user end is in a flow balance state, that is, the value obtained by subtracting the sum of the compression capacity nitrogen flow of the normally open nitrogen compressor unit and the compression capacity nitrogen flow of the open peak-shaving nitrogen compressor unit from the real-time nitrogen usage flow at the user end, and the value obtained by subtracting the sum of the compression capacity nitrogen flow of the open peak-shaving nitrogen compressor unit, which value is greater than 0 and less than the set minimum compression capacity nitrogen flow of the peak-shaving nitrogen compressor unit.

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

[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 for judging the magnitude relationship between the real-time pressure value and a set absolute threshold value;

[0018] A determination module, used to determine the switch state of the i-th nitrogen compressor in the peak-shaving nitrogen compressor group;

[0019] The intelligent optimization module is used to perform intelligent optimization adjustment on the i-th nitrogen compressor according to the judgment result, the switch status, the real-time nitrogen usage flow at the user end and the real-time nitrogen supply flow at the production end, where i is a natural number.

[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 also provides an electronic device, the 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] The pressure at the user end is measured in real time to obtain a real-time pressure value; the relationship between the real-time pressure value and the set absolute threshold is determined; the switch state of the i-th nitrogen compressor in the peak-shaving nitrogen compressor group is determined; the i-th nitrogen compressor is intelligently optimized and adjusted according to the judgment result, the switch state, the real-time nitrogen usage flow at the user end, and the real-time nitrogen supply flow at the production end, where i is a natural number. The method of the present invention performs intelligent optimization adjustment on the start and stop of the peak-shaving nitrogen compressor group according to the real-time pressure at the user end that changes due to the increase of peak-shaving users, the flow of nitrogen, and the switch working state of the peak-shaving nitrogen compressor group at the production end, so that the energy supply at the production end and the energy demand at the user end are balanced, and the purpose of energy saving is achieved. 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 of "," "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 power gas integrated system of the present invention includes a nitrogen subsystem and a compressed air subsystem, the nitrogen subsystem includes a production end and a user end, the production end includes a normally open nitrogen compressor unit and a peak-shaving nitrogen compressor unit, the user end includes a peak-shaving user and a fixed user, the normally open nitrogen compressor unit and the peak-shaving nitrogen compressor unit provide nitrogen energy supply to the peak-shaving user and the fixed user, the fixed user is a user who uses the normally open nitrogen compressor unit on a fixed basis, the normally open nitrogen 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 will intelligently switch from using nitrogen to using compressed air, or from using compressed air to switching according to the nitrogen usage situation at the user end The use of nitrogen is equivalent to occasionally opening the nitrogen subsystem. After the production at the user end is adjusted, such as increasing the production of the staged process, the demand for nitrogen will increase. If the production end is only operated by the normally open nitrogen compressor unit, it may cause insufficient gas supply, which cannot meet the needs of the user end. It is necessary to start the peak-shaving nitrogen compressor unit to assist in providing nitrogen to the user end. However, the models and performances of the various nitrogen compressors in the peak-shaving nitrogen compressor unit are different, which leads to different nitrogen flow rates generated by each nitrogen compressor. Therefore, the present invention not only considers the flow rates of each nitrogen compressor according to the conditions of the user end and the production end, but also conducts intelligent optimization adjustment for the increase or stop of the peak-shaving nitrogen compressor unit. The compressed air subsystem also includes the production end and the user end. The present invention does not study or describe the working conditions of the compressed air 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 value;

[0037] S3. Determine the switch status of the i-th nitrogen compressor in the peak-shaving nitrogen compressor unit;

[0038] S4. Perform intelligent optimization adjustment on the i-th nitrogen compressor according to the judgment result of S2, the switch status in S3, the real-time nitrogen usage flow at the user end and the real-time nitrogen supply flow at the production end, where i is a natural number.

[0039] Specifically, the method of the present invention is as follows: 1) Real-time measurement of the pressure at the user end to obtain a real-time pressure value, which is represented by β, with a range of J=[0, I], where I is the rated pressure of the nitrogen compressor, that is, if the rated pressure of the nitrogen compressor is 1.0Mpa, I is equal to 1.0Mpa, which is the maximum compression pressure. β is the real-time pressure at the user end, which is actually provided by the compressor at the production end. The pressure of the compressor is set in advance. If the compressor sets the pressure to the rated pressure, that is, I, theoretically the pressure at the user end will also reach I, but considering the resistance loss, it will 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.

[0041] Set β0 as the minimum absolute threshold of pressure required by the user end. In the present invention, β0=1.4Mpa, or other values, which are related to the actual needs of the user end. The user end includes fixed users and peak-shaving users. The pressure at this time is the pressure required by fixed users and some or all peak-shaving users when they actually use nitrogen. This value is used to determine whether the user end is in an underpressure state. If it is lower than this value, it indicates that the pressure of the user end is too low;

[0042] If the measured 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. In normal production, if there is an adjustment in the production process, such as a temporary shutdown of a fixed user for isothermal, waiting for materials, or maintenance, the gas consumption will decrease and the pressure at the user end will increase. If a fixed user temporarily increases production, temporarily loads materials, or repairs production, the gas consumption will increase and the pressure at the user end will decrease. In this case, the variable I β It is expressed as shown in formula (1).

[0043] I β ={β∈J / β<β0} (1)

[0044] If the real-time measured pressure at the user end is greater than or equal to the minimum absolute threshold, the variable It is expressed as shown in formula (2). This situation indicates that the pressure on the user side is high and the production side needs to be adjusted.

[0045]

[0046] 3) Perform intelligent optimization adjustment based on the real-time nitrogen usage flow F at the user end, the compression capacity nitrogen flow of the normally open nitrogen compressor unit, the sum of the compression capacity nitrogen flow of the open or running peak-shaving nitrogen compressor units, the judgment result of step 2), and the switch status of the i-th peak-shaving nitrogen compressor.

[0047] The real-time nitrogen usage flow F at the user end is collected, and its value range K=[0, G], where G is the sum of the compression capacity nitrogen flow of all nitrogen compressors in the normally open nitrogen compressor unit and the peak-shaving nitrogen compressor unit at the production end.

[0048] The peak-shaving nitrogen compressor is set to have two states: on and off, and its value range is {0, 1}. i represents the switch state of the i-th peak-shaving nitrogen compressor, i is 1, 2, ..., n, i is a natural number, n is a positive integer, q i =1 means open, q i =0 means off. Let Q be the on / off state set of the peak load air compressor, then Q = {q1, q2, q3, ..., q n}, its power set P(Q) is 2 n .

[0049] Set F0 as the optimization critical value. In this invention, F0=20000m 3 / h, used to indicate the compression capacity of the normally open nitrogen compressor unit at the production end. Nitrogen flow rate, used to indicate the flow capacity of the normally open nitrogen compressor unit at the production end.

[0050] Set fi as the compression capacity nitrogen flow rate of the i-th peak-shaving nitrogen compressor, i is 1, 2, ..., n, n is a natural number, f1, f2, ..., f n ∈K, and f1<f2<…<f n .

[0051] Define f use is the peak-shaving variable value, which represents the sum of the compression capacity and nitrogen flow of all peak-shaving nitrogen compressors that are open in real time and in operation or in operation, and is expressed by formula (3): In this formula, qi represents the on / off state of the i-th peak-shaving nitrogen compressor, and its value is 1 or 0.

[0052] Set F* as the set of equilibrium standard states, expressed by formula (4), which represents the value obtained by subtracting the compression capacity nitrogen flow F0 of the normally open nitrogen compressor unit from the sum of the compression capacity nitrogen flow F0 of the open peak-shaving nitrogen compressor unit, and the value is greater than 0 and less than a constant, which is the set minimum compression capacity nitrogen flow of the peak-shaving nitrogen compressor unit. This constant is set in advance according to actual needs.

[0053]

[0054] Setting F i is a set of real-time gas volume loss states, expressed by formula (5), which represents the value obtained by subtracting the sum of the compression capacity nitrogen flow F0 of the normally open nitrogen compressor group and the compression capacity nitrogen flow of the open peak-shaving nitrogen compressor from the real-time nitrogen usage flow F at the user end. This value is less than the compression capacity nitrogen flow of the i-th peak-shaving nitrogen compressor that is closed or stopped. At this time, the gas volume at the user end is in a loss state.

[0055] F-F0-f use <f i , and q i =0(5).

[0056] Setting F i * is a set of real-time gas surplus states, expressed by formula (6), which represents the value obtained by subtracting the sum of the compression capacity nitrogen flow F0 of the normally open nitrogen compressor unit and the compression capacity nitrogen flow F0 of the open peak-shaving nitrogen compressor unit, and this value is greater than the compression capacity nitrogen flow of the open i-th peak-shaving unit.

[0057] F-F0-f use >fi, and q i =1(6).

[0058] Set the state function φ of intelligent optimization:

[0059]

[0060] Among them, M i Indicates starting the i-th peak-shaving nitrogen compressor. The starting conditions are: the pressure at the user end is low, and the flow rate is used to assist in judging that the real-time gas volume loss is F. i, that is, the value obtained by subtracting the compression capacity nitrogen flow F0 of the normally open nitrogen compressor unit from the real-time nitrogen usage flow F at the user end and the sum of the compression capacity nitrogen flow F0 of the open peak-shaving nitrogen compressor unit. This value is less than the compression capacity nitrogen flow of the i-th peak-shaving nitrogen compressor that is closed or stopped. At this time, the gas volume at the user end is in a loss state. Therefore, it is necessary to start the i-th peak-shaving nitrogen compressor so that q i =1(i=1, 2,…, n) to change the loss state.

[0061] N i Indicates stopping the i-th peak-shaving nitrogen compressor. The stopping condition is: the pressure at the user end is high, and the flow auxiliary judgment is that the real-time gas volume surplus F i * , that is, the value obtained by subtracting the sum of the compression capacity nitrogen flow F0 of the normally open nitrogen compressor unit and the compression capacity nitrogen flow F0 of the open peak-shaving nitrogen compressor unit from the real-time nitrogen usage flow F at the user end, which is greater than the compression capacity nitrogen flow of the open i-th peak-shaving unit. That is, the gas volume at the user end is in a surplus state, and the i-th peak-shaving nitrogen compressor needs to be stopped or closed, so that q i =0 (i=1, 2, ..., n), reducing the number of peak-shaving nitrogen compressors at the production end, thereby reducing energy waste at the user end.

[0062] Z i Indicates that the operation state of the i-th peak-shaving nitrogen compressor is maintained. At this time, the user end is judged to be in a flow balance state through the flow rate. At this time, it is the balance standard F*, that is, the real-time nitrogen usage flow F of the user end minus the compression capacity nitrogen flow F0 of the normally open nitrogen compressor unit and the value obtained by subtracting the sum of the compression capacity nitrogen flow of the open peak-shaving nitrogen compressor unit. This value is greater than 0 and less than a constant. This constant is the set minimum compression capacity nitrogen flow of the peak-shaving nitrogen compressor unit. At this time, no matter whether the real-time pressure at the user end is higher than or equal to the absolute threshold or lower than the absolute threshold, it is considered to be in a balanced state, because the flow capacity of the peak-shaving nitrogen compressor unit is balanced. At this time, the pressure at the user end may be in a slowly rising or falling state, but it will eventually tend to balance. Therefore, it is sufficient to maintain the existing state of the i-th peak-shaving nitrogen compressor peak-shaving unit, that is, there is no need to adjust the operating state of the i-th peak-shaving nitrogen compressor at the production end, and the existing state can be maintained.

[0063] 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:

[0064] The measurement module is used to measure the pressure of the user end in real time and obtain the real-time pressure value;

[0065] A judgment module, used for judging the magnitude relationship between the real-time pressure value and a set absolute threshold value;

[0066] A determination module, used to determine the switch state of the i-th nitrogen compressor in the peak-shaving nitrogen compressor group;

[0067] The intelligent optimization module is used to perform intelligent optimization adjustment on the i-th nitrogen compressor according to the judgment result, the switch status, the real-time nitrogen usage flow at the user end and the real-time nitrogen supply flow at the production end, where i is a natural number.

[0068] like Figure 3 As shown, an embodiment of the present invention further provides an electronic device 60, which includes:

[0069] at least one processor, and;

[0070] a memory communicatively coupled to the at least one processor, wherein;

[0071] 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.

[0072] An embodiment of the present invention also 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.

[0073] Reference below Figure 3 , which shows a schematic structural diagram of an electronic device 60 suitable for implementing an embodiment of the present invention.

[0074] 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.

[0075] 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.

[0076] 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.

[0077] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart 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 flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 609, or installed from the storage device 608, or installed from the 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.

[0078] 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. The computer-readable storage medium can 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 of computer-readable storage media 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 that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. 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.

[0079] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0080] 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.

[0081] 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.

[0082] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination 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 the case of 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).

[0083] 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 integrated system includes a nitrogen subsystem, the nitrogen subsystem includes a production end and a user end, the production end includes a normally open nitrogen compressor unit and a peak-shaving nitrogen compressor unit, the normally open nitrogen compressor unit and the peak-shaving nitrogen compressor unit provide nitrogen energy supply to the user end, 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 value; S3. Determine the switch status of the i-th nitrogen compressor in the peak-shaving nitrogen compressor unit; S4. Perform intelligent optimization adjustment on the i-th nitrogen compressor according to the judgment result of S2, the switch status in S3, the real-time nitrogen usage flow at the user end and the real-time nitrogen supply flow at the production end, where i is a natural number.

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 pressure at the user end is too low and is in an underpressure 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, it indicates that the pressure on the user end is too high and is in a high pressure state.

4. The method according to claim 3, characterized in that The real-time nitrogen supply flow rate at the production end includes the sum of the compression capacity nitrogen flow rate of the normally open nitrogen compressor unit and the compression capacity nitrogen flow rate of all peak-shaving nitrogen compressors that are open or in operation.

5. The method according to claim 4, characterized in that The conditions for starting the i-th peak-shaving nitrogen compressor are: low pressure at the user end and real-time gas volume loss, where the real-time gas volume loss is the value obtained by deducting the sum of the compression capacity nitrogen flow of the normally open nitrogen compressor unit and the compression capacity nitrogen flow of the open peak-shaving nitrogen compressor unit from the real-time nitrogen usage flow at the user end, which is less than the compression capacity nitrogen flow of the i-th peak-shaving nitrogen compressor that is closed or stopped.

6. The method according to claim 4, characterized in that The condition for stopping the i-th peak-shaving nitrogen compressor is: the pressure at the user end is too high and there is a real-time gas surplus. The real-time gas surplus is the value obtained by deducting the sum of the compression capacity nitrogen flow of the normally open nitrogen compressor unit and the compression capacity nitrogen flow of the open peak-shaving nitrogen compressor unit from the real-time nitrogen usage flow at the user end. This value is greater than the compression capacity nitrogen flow of the open i-th peak-shaving unit.

7. The method according to claim 4, characterized in that The condition for maintaining the operating state of the i-th peak-shaving nitrogen compressor peak-shaving unit is that the user end is in a flow balance state, that is, the value obtained by deducting the sum of the compression capacity nitrogen flow of the normally open nitrogen compressor unit and the compression capacity nitrogen flow of the open peak-shaving nitrogen compressor unit from the real-time nitrogen usage flow at the user end, which is greater than 0 and less than the set minimum compression capacity nitrogen flow of the peak-shaving nitrogen compressor unit.

8. An intelligent optimization device for a power gas integrated system, characterized in that: The integrated system includes a nitrogen subsystem, which includes a production end and a user end. The production end includes a normally open nitrogen compressor unit and a peak-shaving nitrogen compressor unit. The normally open nitrogen compressor unit and the peak-shaving nitrogen compressor unit provide nitrogen energy supply to the user end. 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 for judging the magnitude relationship between the real-time pressure value and a set absolute threshold value; A determination module, used to determine the switch state of the i-th nitrogen compressor in the peak-shaving nitrogen compressor group; The intelligent optimization module is used to perform intelligent optimization adjustment on the i-th nitrogen compressor according to the judgment result, the switch status, the real-time nitrogen usage flow at the user end and the real-time nitrogen supply flow at the production end, where i is a natural number.

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.

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