Main pipe residual pressure power generation method and system based on AI adaptive control

Abstract

The present invention relates to the technical field of industrial circulating water pipe pressure regulation, and specifically to a main pipe excess pressure power generation method and system based on AI adaptive control. The present invention collects the water pressure and voltage data of each branch pipe valve in time series, and calculates the relevant change factors according to the water pressure and voltage changes in a preset time range. The energy loss rate of each branch pipe valve is obtained based on the factor difference of adjacent branch pipe valves. A total loss function under different main pipe pressures is established, and the loss factor is derived from it. By comparing the change trend and numerical difference of the loss factor under each pressure, the optimal main pipe pressure corresponding to the minimum energy loss is determined. The main pipe excess pressure is regulated accordingly. The present invention can determine a more suitable main pipe pressure range, so that the industrial water circulation system is always in a low-loss and high-energy-utilization state.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial circulating water pipe pressure regulation, and in particular to a main pipe residual pressure power generation method and system based on AI adaptive control. Background Art

[0002] In industrial water circulation systems, to ensure water supply pressure at "worst-case" points, such as high-level heat exchangers and remote equipment, circulating water pump heads are generally designed with a safety margin of 10% to 30%. During normal operation, residual pressure in the main return pipe remains unutilized and is ultimately dissipated as heat through throttling by pressure reducing valves, resulting in long-term energy waste. Traditional residual pressure power generation units employ open-loop control or simple threshold adjustment, failing to track operating conditions in real time. When the load suddenly drops, the generator set continues to operate at its original power, potentially resulting in insufficient downstream pressure. When the load suddenly increases, the unit fails to increase its output in a timely manner, resulting in inadequate residual pressure recovery. Data communication between the residual pressure power generation unit and the circulating water main control system is insufficient, and control commands rely on manual experience or fixed logic, making closed-loop optimization difficult. Therefore, it is necessary to deploy high-density pressure sensors combined with AI flow inversion algorithms to build a real-time digital twin of the system impedance. This data-driven approach breaks down control silos. Through a closed-loop control system combining real-time perception, dynamic optimization, and safety constraints, residual pressure recovery can be upgraded from a "passive dissipation" to an "active regulation and storage" resource.

[0003] In the existing technology, since the main pipe pressure has a very important impact on each branch pipe, excessive main pipe pressure can easily cause damage to the equipment, and too low main pipe pressure will prevent water from being transported to the required equipment, causing the equipment to malfunction. However, there are other pressure parameters that can be selected between the pressure extremes, and it is impossible to determine a more appropriate main pipe pressure range, so that the industrial water circulation system is always in a low-loss, high-energy-utilization state. Summary of the Invention

[0004] In order to solve the technical problem that other pressure parameters can be selected between pressure extremes and a more appropriate main pipe pressure range cannot be determined, so as to ensure that the industrial water circulation system is always in a low-loss and high-energy-utilization state, the purpose of the present invention is to provide a main pipe residual pressure power generation method and system based on AI adaptive control. The technical solutions adopted are as follows:

[0005] A main pipe residual pressure power generation method based on AI adaptive control, the method comprising:

[0006] Obtain the water pressure and voltage data of all branch valves in the industrial circulating water system at each sampling moment;

[0007] Based on the water pressure data distribution and voltage data distribution of each branch valve at different sampling moments in each preset time range, the relevant change factor of each branch valve in each preset time range is obtained; based on the difference in the relevant change factor between each branch valve and the next branch valve in each preset time range, the energy loss rate of each branch valve is obtained; the energy loss function of all branch valves under different main pipe pressures is obtained; the sum of the energy loss functions of all branch valves under each main pipe pressure is differentiated to obtain the loss factor of all branch valves under each main pipe pressure; based on the change characteristics and size differences of the loss factors of all branch valves under different main pipe pressures, the main pipe pressure corresponding to the minimum energy loss of all branch valves is obtained;

[0008] The residual pressure of the main pipe is controlled according to the main pipe pressure corresponding to the minimum energy loss of all branch valves.

[0009] Furthermore, the method for obtaining the relevant change factor includes:

[0010] The relevant change factor is obtained according to the relevant change factor calculation formula, and the relevant change factor calculation formula is as follows:

[0011] ;

[0012] Where, Indicates the Each branch valve is within the preset time range Related change factors in ; Indicates each preset time range The last sampling time sequence number in ; Indicates each preset time range The first sampling time sequence number in ; Indicates the Each branch valve is within the preset time range Middle Water pressure data at each sampling moment; Indicates that the main pipe is connected to the The minimum water pressure data required for each branch valve to deliver water; Indicates the Each branch valve is within the preset time range Middle The voltage data generated at each sampling moment.

[0013] Furthermore, the method for obtaining the energy loss rate includes:

[0014] The energy loss rate is obtained according to the energy loss rate calculation formula, and the energy loss rate calculation formula is as follows:

[0015] ;

[0016] Where, Indicates the Energy loss rate of each branch valve; Indicates the number of branch valves; A preset number representing a preset time range; Indicates in Within a preset time range, The relevant variation factors of each branch valve; Indicates in Within a preset time range, The relevant variation factors of each branch valve.

[0017] Furthermore, the method for obtaining the energy loss function of all branch valves includes:

[0018] Obtain the energy loss rate of each branch valve under different main pipe pressures, map the energy loss rate of each branch valve one by one as the main pipe pressure changes, and obtain the energy loss function of each branch valve;

[0019] Traverse all branch valves and obtain the energy loss functions of all branch valves.

[0020] Furthermore, the method for obtaining the loss factor includes:

[0021] Taking any main pipe pressure as the reference pressure, calculate the sum of the energy loss functions of all branch pipe valves under the reference pressure as the first function;

[0022] The first function is differentiated to obtain the loss factors of all branch valves under the reference pressure.

[0023] Furthermore, the corresponding main pipe pressure when the energy loss of all branch valves is minimized is obtained, including:

[0024] Obtain all main pipe pressures corresponding to the loss factor of 0 as the pressure to be analyzed;

[0025] Calculate the product of the negative limit and the positive limit of the corresponding loss factor at each pressure to be analyzed as the first product;

[0026] All the pressures to be analyzed corresponding to the first product being less than 0 are taken as the first pressure;

[0027] Calculate the minimum loss factor of all branch valves under all first pressures, and use the corresponding first pressure as the main pipe pressure corresponding to the minimum energy loss of all branch valves.

[0028] A main pipe excess pressure power generation system based on AI adaptive control, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the above-mentioned main pipe excess pressure power generation method based on AI adaptive control are implemented.

[0029] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a main pipe residual pressure power generation method based on AI adaptive control as described above.

[0030] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for generating power from main pipe excess pressure based on AI adaptive control are implemented.

[0031] The present invention has the following beneficial effects:

[0032] In order to subsequently analyze the energy loss of different branch valves, the present invention obtains the water pressure data and voltage data of all branch valves in the industrial circulating water system at each sampling moment. In order to prevent the water pressure from causing damage to the equipment, a part of the water pressure is used for power generation. Therefore, the water pressure data and voltage data of each branch valve are used to construct the change of the related parameters composed of the water pressure data and voltage data of the branch valve over time, and obtain the related change factors. Since the water flow consumes energy while flowing through each branch along the main pipe, it is desired to control the water pressure of the main pipe so as to avoid damage to the water-using equipment on each branch pipe while stably generating electricity. First, it is necessary to analyze the energy loss rate of the branch valves from the upstream equipment to the downstream equipment when the water flow is transmitted along the main pipe; due to the different main pipe pressures, the water pressure and the generated voltage of the subsequent branch valves will change accordingly. In order to find the most suitable main pipe pressure, the embodiment of the present invention first obtains the energy loss function of each branch valve as the main pipe pressure changes, and then comprehensively analyzes the energy loss of all branch valves under each main pipe pressure to obtain the loss factor of all branch valves under each main pipe pressure, so as to facilitate the subsequent selection of the main pipe pressure corresponding to the minimum energy loss of all branch valves; the main pipe residual pressure is adaptively controlled by AI through the main pipe pressure. The present invention can determine a more suitable main pipe pressure range, so that the industrial water circulation system is always in a low-loss and high-energy-utilization state. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0034] Figure 1 A flow chart of a method for generating power from excess pressure of a main pipe based on AI adaptive control according to one embodiment of the present invention;

[0035] Figure 2 A block diagram of a main pipe excess pressure power generation system based on AI adaptive control provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0036] To further illustrate the technical means and effects of the present invention to achieve the intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effects of a method and system for generating power from excess pressure at a main pipe based on AI adaptive control proposed by the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable form.

[0037] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0038] The following describes in detail a method and system for generating power from excess pressure of a main pipe based on AI adaptive control provided by the present invention with reference to the accompanying drawings.

[0039] See also Figure 1 , which shows a method for generating power from excess pressure of a main pipe based on AI adaptive control provided by an embodiment of the present invention, the method comprising:

[0040] Step S1: Obtain the water pressure data and voltage data of all branch valves in the industrial circulating water system at each sampling moment.

[0041] The embodiment of the present invention is mainly used in industrial circulating water systems to select a suitable main pipe residual pressure, thereby reducing energy loss on all other branch pipes. In the industrial circulating water system, the water pump pressurizes the cooling water and delivers it to various water-using equipment, such as heat exchangers, condensers, air compressor coolers, etc., and in order to prevent excessive water pressure from damaging these water-using equipment, it is necessary to install regulating valves (throttle valves) on the branch pipes close to these equipment to reduce the pressure, and install generator sets at the locations of these reduced-pressure branch pipes. Therefore, in the embodiment of the present invention, the water pressure data and voltage data of all branch valves in the industrial circulating water system at each sampling time are obtained.

[0042] In one embodiment of the present invention, a pressure sensor and a voltage sensor are installed on each branch valve to record water pressure and voltage data at each sampling time. The sampling time is set to 1 second. It should be noted that in other embodiments of the present invention, the sampling time can be set arbitrarily and is not limited here.

[0043] Step S2: Based on the water pressure data distribution and voltage data distribution of each branch valve at different sampling times in each preset time range, obtain the relevant change factor of each branch valve in each preset time range; based on the difference in the relevant change factor between each branch valve and the next branch valve in each preset time range, obtain the energy loss rate of each branch valve; obtain the energy loss function of all branch valves under different main pipe pressures; differentiate the sum of the energy loss functions of all branch valves under each main pipe pressure to obtain the loss factor of all branch valves under each main pipe pressure; based on the change characteristics and size differences of the loss factors of all branch valves under different main pipe pressures, obtain the main pipe pressure corresponding to the minimum energy loss of all branch valves.

[0044] In an industrial circulating water system, water in a main pipe needs to be transported to downstream water-using devices using residual pressure. However, during this process, equipment closer to the upstream side will be subject to greater water pressure. To prevent excessive water pressure from causing physical damage to upstream equipment, a throttle valve needs to be installed on the branch pipe leading to the water-using device to reduce the water pressure. This pressure reduction process is achieved through valve friction. To prevent this excess pressure from being wasted, a hydro-turbine generator set needs to be installed at the throttle valve location to generate hydroelectric power. Therefore, in an embodiment of the present invention, the water pressure and voltage data of each branch valve are used to construct a correlation parameter composed of the water pressure and voltage data of the branch valve, and the change over time of the correlation factor is obtained.

[0045] Preferably, in one embodiment of the present invention, the method for obtaining the relevant change factor includes:

[0046] The relevant change factor is obtained according to the relevant change factor calculation formula. The relevant change factor calculation formula is as follows:

[0047] ;

[0048] Where, Indicates the Each branch valve is within the preset time range Related change factors in ; Indicates each preset time range The last sampling time sequence number in ; Indicates each preset time range The first sampling time sequence number in ; Indicates the Each branch valve is within the preset time range Middle Water pressure data at each sampling moment; Indicates that the main pipe is connected to the The minimum water pressure data required for each branch valve to deliver water; Indicates the Each branch valve is within the preset time range Middle The voltage data generated at each sampling moment.

[0049] In one embodiment of the present invention, the preset time range is set to 10s. It should be noted that the preset time range can be set arbitrarily and is not limited here.

[0050] In the calculation formula of the relevant change factor, since the changes in water pressure and voltage are continuous, we first construct the continuous function of water pressure data, voltage data and time, and calculate the integral of the two continuous functions within the preset time range to obtain and ,in, , used to reflect the effect of water pressure and voltage on the first The work done by each branch valve is divided by the preset time range to obtain the power of water pressure and voltage in the preset time range; the sum of water pressure power and voltage power is used as the first Each branch valve is within the preset time range Among them, because we want to input the water in the main pipe into the required equipment, the water pressure of the branch valve should exceed the water pressure of the main pipe to the branch valve. The minimum water pressure data required for each branch valve to deliver water. If the water pressure is lower than the minimum water pressure data, the water in the main pipe cannot be effectively delivered to the water-using equipment. Therefore, the water pressure of all valves should be greater than the minimum value required by the valve. If the water pressure at the valve is lower than the minimum value of the water pressure delivered to the equipment, the water pressure value at the valve is lower than the minimum value, then the work done on the water pressure will be less than 0. At the same time, because the water pressure is not enough to drive the turbine generator to work, the work done on the voltage value will be equal to 0, then the value of the relevant change factor will be less than 0 at this time, so in the embodiment of the present invention, by To reflect whether the water pressure of the branch valve is too low.

[0051] As water flows through the various branch pipes along the main pipe, it consumes energy. Therefore, in order to control the water pressure on the main pipe to prevent damage to the water-using equipment on the branch pipes while maintaining stable power generation, it is necessary to first analyze the energy loss rate from the branch valves of the upstream equipment to the branch valves of the downstream equipment as the water flows along the main pipe. This facilitates the subsequent use of the main pipe AI to adaptively control the water pressure and find the appropriate water pressure for residual pressure power generation. Therefore, in this embodiment of the present invention, the energy loss rate of each branch valve is defined.

[0052] Preferably, in one embodiment of the present invention, the method for obtaining the energy loss rate includes:

[0053] The energy loss rate is obtained according to the energy loss rate calculation formula. The energy loss rate calculation formula is as follows:

[0054] ;

[0055] Where, Indicates the Energy loss rate of each branch valve; Indicates the number of branch valves; A preset number representing a preset time range; Indicates in Within a preset time range, The relevant variation factors of each branch valve; Indicates in Within a preset time range, The relevant variation factors of each branch valve.

[0056] In one embodiment of the present invention, the preset number is set to 60. It should be noted that the preset number can be set arbitrarily and is not limited here.

[0057] In the energy loss rate calculation formula, since the water flow in the main pipe has pressure changes at all times and the power generated by the turbine generator in each preset time range is not stable, the difference in the relevant change factors of each two adjacent branch valves in each preset time range over a long period of time is calculated. Normalize and obtain , and calculate the average to obtain the energy difference between each two adjacent branch valves; since the water flow in the main pipe is from upstream to downstream, the energy difference between adjacent branch valves is decreasing layer by layer, so the energy loss between each branch valve can be calculated by the above method, and if you want to get the energy loss rate of the Nth valve, you only need to calculate the product of the energy loss rates between the first N-1 valves, that is, by calculating the product of the energy differences between N valves through the product formula, you can get the energy loss rate of the Nth valve. The energy loss rate of each branch valve.

[0058] Due to different main pipe pressures, the water pressure and voltage generated by subsequent branch valves will change accordingly. To find the most appropriate main pipe pressure, the embodiment of the present invention first obtains the energy loss function of each branch valve as the main pipe pressure changes. Then, a comprehensive analysis of the energy loss of all branch valves at each main pipe pressure is performed to obtain the loss factors of all branch valves at each main pipe pressure. This facilitates the subsequent selection of the main pipe pressure that minimizes the energy loss of all branch valves.

[0059] Preferably, in one embodiment of the present invention, the method for obtaining the energy loss function of all branch valves includes:

[0060] Sensors are used to collect the water pressure and voltage data of each branch valve under different main pipe pressures. The energy loss rate of each branch valve under different main pipe pressures is then obtained using the above formula. The energy loss rate of each branch valve is mapped one by one as the main pipe pressure changes to obtain the energy loss function of each branch valve. All branch valves are traversed to obtain the energy loss function of all branch valves.

[0061] Preferably, in one embodiment of the present invention, the method for obtaining the loss factor includes:

[0062] Taking any main pipe pressure as the reference pressure, calculate the sum of the energy loss functions of all branch valves under the reference pressure as the first function; take the derivative of the first function to obtain the loss factor of all branch valves under the reference pressure. The loss factor calculation formula is as follows:

[0063] ;

[0064] Where, Indicates the main pipe pressure data value; Indicates the main pipe pressure Under , the loss factor of all branch valves; Indicates the number of branch valves; Indicates the main pipe pressure Next, The energy loss rate of each branch valve.

[0065] In the loss factor calculation formula, since the energy loss functions of each branch valve under different main pipe pressures are independent, the energy loss functions of each branch valve under the same main pipe pressure are added together to obtain the energy loss of the branch valves under different main pipe pressures; the first function is differentiated, and the main pipe pressure corresponding to the minimum energy loss of all branch valves is obtained through the changing characteristics of the derivative function.

[0066] Preferably, in one embodiment of the present invention, obtaining the main pipe pressure corresponding to the minimum energy loss of all branch pipe valves includes:

[0067] First analyze Therefore, all the corresponding main pipe pressures when the loss factor is 0 are obtained as the pressure to be analyzed; the product of the negative limit and the positive limit of the corresponding loss factor under each pressure to be analyzed is calculated. As the first product; all the corresponding pressures to be analyzed when the first product is less than 0 are taken as the first pressure. At this time, the first product is less than 0, which means that In the equation , the function value corresponding to the pressure to be analyzed is at the extreme point.

[0068] All extreme points are selected. In the embodiment of the present invention, the first function The minimum value of the loss factor of all branch valves under all first pressures is calculated, and the corresponding first pressure is used as the main pipe pressure corresponding to the minimum energy loss of all branch valves, and it is set as .

[0069] Step S3: Controlling the main pipe residual pressure according to the main pipe pressure corresponding to the minimum energy loss of all branch pipe valves.

[0070] In one embodiment of the present invention, in order to enable AI to adaptively control the main pipe residual pressure to be in the state of maximum energy saving during power generation, it is necessary to adjust it in real time according to the main pipe pressure. The main pipe pressure corresponding to the minimum energy loss of the branch valve is It is a fixed value, so it is very difficult to fix it at this value in real time. Therefore, the real-time main pipe pressure is divided into three states: low pressure, appropriate pressure and high pressure. First, the minimum power value that ensures that the water in the main pipe can be transported to all water-using equipment is obtained. , and the maximum power required to ensure that the water-using equipment where the branch valve is located is not damaged , as the power limit corresponding to the main pipe pressure limit, at this time, the low pressure range is defined as , the range of suitable pressure is defined as , the high pressure range is defined as Therefore, AI is used to detect and control the main pipe pressure in real time, so that it is always controlled within the appropriate pressure range, so that the water pressure in the main pipe can be reduced as much as possible, and the entire industrial circulating water pipe residual pressure power generation system is in a state of low loss and high energy utilization.

[0071] In summary, the water pressure data and voltage data of all branch valves in the industrial circulating water system at each sampling moment are obtained; the relevant change factor of each branch valve in each preset time range is obtained based on the water pressure data distribution and voltage data distribution of each branch valve at different sampling moments in each preset time range; the energy loss rate of each branch valve is obtained based on the difference in the relevant change factors between each branch valve and the next branch valve in each preset time range; the energy loss function of all branch valves under different main pipe pressures is obtained; the sum of the energy loss functions of all branch valves under each main pipe pressure is derived to obtain the loss factor of all branch valves under each main pipe pressure; the main pipe pressure corresponding to the minimum energy loss of all branch valves is obtained based on the change characteristics and size differences of the loss factors of all branch valves under different main pipe pressures; the main pipe residual pressure is controlled based on the main pipe pressure corresponding to the minimum energy loss of all branch valves.

[0072] The second purpose of one embodiment of the present invention is to provide a main pipe excess pressure power generation system based on AI adaptive control, the system including a memory, a processor and a computer program, wherein the memory is used to store the corresponding computer program, the processor is used to run the corresponding computer program, and when the computer program runs in the processor, it can implement the method described in steps S1-S3.

[0073] A third object of an embodiment of the present invention is to provide a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in steps S1-S3 is implemented, specifically including:

[0074] The data acquisition module 101 is used to obtain the water pressure data and voltage data of all branch valves in the industrial circulating water system at each sampling moment;

[0075] The data analysis module 102 is configured to obtain a relevant variation factor of each branch valve in each preset time range based on the distribution of water pressure data and voltage data of each branch valve at different sampling times in each preset time range; obtain an energy loss rate of each branch valve based on the difference in the relevant variation factor between each branch valve and the next branch valve in each preset time range; obtain energy loss functions of all branch valves under different main pipe pressures; derive the sum of the energy loss functions of all branch valves under each main pipe pressure to obtain the loss factors of all branch valves under each main pipe pressure; and obtain the main pipe pressure corresponding to the minimum energy loss of all branch valves based on the variation characteristics and size differences of the loss factors of all branch valves under different main pipe pressures.

[0076] The AI ​​control module 103 is used to control the main pipe residual pressure according to the main pipe pressure corresponding to the minimum energy loss of all branch pipe valves.

[0077] A fourth object of an embodiment of the present invention is to provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in steps S1-S3 is implemented.

[0078] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0079] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A main pipe excess pressure power generation method based on AI adaptive control, characterized in that: The method comprises: Obtain the water pressure and voltage data of all branch valves in the industrial circulating water system at each sampling moment; Based on the water pressure data distribution and voltage data distribution of each branch valve at different sampling moments in each preset time range, the relevant change factor of each branch valve in each preset time range is obtained; based on the difference in the relevant change factor between each branch valve and the next branch valve in each preset time range, the energy loss rate of each branch valve is obtained; the energy loss function of all branch valves under different main pipe pressures is obtained; the sum of the energy loss functions of all branch valves under each main pipe pressure is differentiated to obtain the loss factor of all branch valves under each main pipe pressure; based on the change characteristics and size differences of the loss factors of all branch valves under different main pipe pressures, the main pipe pressure corresponding to the minimum energy loss of all branch valves is obtained; Control the main pipe residual pressure according to the main pipe pressure corresponding to the minimum energy loss of all branch valves; The method for obtaining the relevant change factor includes: The relevant change factor is obtained according to the relevant change factor calculation formula, and the relevant change factor calculation formula is as follows: ； Where, Indicates the Each branch valve is within the preset time range Related change factors in ; Indicates each preset time range The last sampling time sequence number in ; Indicates each preset time range The first sampling time sequence number in ; Indicates the Each branch valve is within the preset time range Middle Water pressure data at each sampling moment; Indicates that the main pipe is connected to the The minimum water pressure data required for each branch valve to deliver water; Indicates the Each branch valve is within the preset time range Middle Voltage data generated at each sampling moment; The method for obtaining the energy loss rate includes: The energy loss rate is obtained according to the energy loss rate calculation formula, and the energy loss rate calculation formula is as follows: ； Where, Indicates the Energy loss rate of each branch valve; Indicates the number of branch valves; A preset number representing a preset time range; Indicates in Within a preset time range, The relevant variation factors of each branch valve; Indicates in Within a preset time range, The relevant variation factors of each branch valve; The method for obtaining the energy loss function of all branch valves includes: Obtain the energy loss rate of each branch valve under different main pipe pressures, map the energy loss rate of each branch valve one by one as the main pipe pressure changes, and obtain the energy loss function of each branch valve; Traverse all branch valves and obtain the energy loss functions of all branch valves.

2. The method for generating power from excess pressure of a main pipe based on AI adaptive control according to claim 1, characterized in that: The method for obtaining the loss factor includes: Taking any main pipe pressure as the reference pressure, calculate the sum of the energy loss functions of all branch pipe valves under the reference pressure as the first function; The first function is differentiated to obtain the loss factors of all branch valves under the reference pressure.

3. The method for generating power from excess pressure of a main pipe based on AI adaptive control according to claim 2, characterized in that: Obtain the corresponding main pipe pressure when the energy loss of all branch valves is minimized, including: Obtain all main pipe pressures corresponding to the loss factor of 0 as the pressure to be analyzed; Calculate the product of the negative limit and the positive limit of the corresponding loss factor at each pressure to be analyzed as the first product; All the pressures to be analyzed corresponding to the first product being less than 0 are taken as the first pressure; Calculate the minimum loss factor of all branch valves under all first pressures, and use the corresponding first pressure as the main pipe pressure corresponding to the minimum energy loss of all branch valves.

4. A main pipe excess pressure power generation system based on AI adaptive control, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the main pipe residual pressure power generation method based on AI adaptive control as described in any one of claims 1 to 3 are implemented.

5. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for generating power from main pipe excess pressure based on AI adaptive control as described in any one of claims 1 to 3 are implemented.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the main pipe residual pressure power generation method based on AI adaptive control are implemented as described in any one of claims 1 to 3.

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