A method for optimizing steam pressure control in steam pipeline network based on data analysis

Abstract

The present invention discloses a method for optimizing and controlling the plant-source steam pressure of a steam network based on data analysis, comprising: obtaining actual operation data of the steam network through a steam network operation history database, and establishing a user pressure difference mechanism association model after processing the actual operation data of the steam network; calculating the necessary plant-source steam pressure corresponding to the user according to the user pressure difference mechanism association model, and determining the user of the steam network pressure control point; obtaining a recommended value of the plant-source steam pressure based on the determined steam network pressure control point user, and realizing optimized control of the plant-source steam pressure of the network; the method provided by the present invention adjusts the matching of the plant-source steam temperature and flow rate, and gives a pressure control recommended value according to the complex working conditions of the steam network, and effectively reduces the average operation pressure of the network, improves the steam superheat, and improves the overall network efficiency on the premise of meeting the user's steam pressure and flow rate requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of energy conservation and emission reduction in energy technology, and in particular to a method for optimizing and controlling steam pressure of a steam network plant source based on data analysis. Background Art

[0002] Industrial steam is usually used as a heating medium in the production process, and its quality requirements vary depending on the process. The steam pipeline network in the industrial park is mainly a branched pipeline network. The heat source transports industrial steam that meets the production needs to downstream users through the steam pipeline network. Each downstream industrial user directly takes steam from the steam pipeline network. The steam supplier usually agrees with the end user on the required industrial steam temperature and pressure parameters. Since multiple industrial users are usually connected to the same steam pipeline, pressure and temperature losses are inevitably generated during the transportation of steam in the pipeline network. These losses are mainly caused by friction, heat radiation and heat conduction of the pipeline. Therefore, the actual steam parameters reaching each industrial user will gradually decrease along the steam pipeline process. In order to enable the end users of the pipeline to meet the agreed steam parameter requirements, the parameters of the plant source steam are actually much greater than the demand values ​​of the end users.

[0003] In terms of plant source pressure control, the actual operation of the steam network usually relies on the experience of operators without scientific theory guidance. In the actual operation process, the user's steam pressure is often too high or too low. Operators usually use the method of constant pressure operation to simplify the control strategy. The advantage of this method is that the control is simple and easy to implement. However, this control method cannot be adaptively adjusted according to the complex load conditions on site, which may lead to a higher average pressure in the network and an increase in the saturation temperature, thereby increasing the tendency of steam condensation.

[0004] Therefore, how to make corresponding adjustments to the complex steam network load conditions while meeting the basic steam pressure requirements of the end users of the steam network, reduce the excessive supply of steam pressure at the user end, reduce the overall operating pressure of the pipeline, and thus reduce the condensation loss of the steam network, is of great significance to improving the energy efficiency of the steam network. In order to solve this problem, various new steam network control strategies are also being explored in industrial production. These strategies include dynamic pressure control based on load forecasting, optimization control based on artificial intelligence, and distributed energy scheduling. These methods aim to improve the energy efficiency of the steam network and reduce energy consumption and environmental pollution. Summary of the invention

[0005] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0006] In view of the above-mentioned problems, the present invention is proposed.

[0007] According to a first aspect of an embodiment of the present invention, a method for optimizing and controlling plant-source steam pressure in a steam pipeline network based on data analysis is provided, comprising: obtaining actual operation data of the steam pipeline network through a steam pipeline network operation history database, and establishing a user pressure difference mechanism association model after processing the actual operation data of the steam pipeline network; calculating the necessary plant-source steam pressure corresponding to the user according to the user pressure difference mechanism association model, and determining the user of the steam pipeline network pressure control point; obtaining a recommended value of the plant-source steam pressure based on the determined steam pipeline network pressure control point user, and realizing optimized control of the plant-source steam pressure of the pipeline network.

[0008] As a preferred solution of the steam pressure optimization control method of the steam network plant source based on data analysis described in the present invention, the acquisition of the actual operation data of the steam network includes:

[0009] The actual operation data of the steam network is obtained through the steam network operation history database, including the actual data of the plant source steam pressure P0, the actual data of the flow rate D0, the steam pressure P received by each user downstream of the steam network, and the actual data of the steam pressure P i and flow rate D i The actual data and the steam pressure demand value P agreed upon in the contract between the steam supplier and each downstream user ie .

[0010] As a preferred solution of the steam pressure optimization control method of the steam network plant source based on data analysis described in the present invention, the establishment of the user pressure difference mechanism correlation model includes:

[0011] After processing the actual operation data of the steam network, the pressure difference ΔP between the steam pressure at the plant source and the steam pressure received by each user downstream of the steam network is calculated. i , expressed as:

[0012] ΔP i =P0-P i

[0013] The pressure difference is the driving force for steam transportation in the pipeline network. For long-distance pipelines, it can be considered that the steam pressure difference is proportional to the square of the plant source steam flow, that is, The user pressure difference mechanism correlation model is constructed in this way, which is expressed as:

[0014]

[0015] Among them, a i , b i 、c i represents the coefficient of the correlation model;

[0016] The actual operation data of the steam network is used to train the pressure difference correlation model of each user to obtain the correlation coefficient a i 、b i 、c i and the average deviation σ between the actual and predicted values ​​of the vapor pressure difference i .

[0017] As a preferred solution of the steam network plant source steam pressure optimization control method based on data analysis described in the present invention, the calculation of the necessary plant source steam pressure corresponding to the user includes:

[0018] Calculate the necessary plant source steam pressure P corresponding to each steam user based on the plant source steam flow D0 in the current steam network operation data in , the necessary plant source steam pressure P corresponding to the downstream user in Equal to the user pressure difference ΔP i The steam supplier and the downstream users agree on the steam pressure demand value P ie and 3 times the average deviation of the predictions σ i The sum of is expressed as:

[0019] P in =ΔP i +P ie +3σ i .

[0020] As a preferred solution of the steam network plant source steam pressure optimization control method based on data analysis described in the present invention, wherein: the determination of the steam network pressure control point user includes:

[0021] Find the necessary steam pressure P of the steam source corresponding to the user who is using steam in The maximum value P inmax , the maximum value P inmax The corresponding user is the control point user of the steam pipeline network. The control point of the steam pipeline network means that while ensuring that the steam pressure of the steam user reaches the value agreed in the contract, the steam pressure of other steam users in the entire pipeline network will not fail to meet the value agreed in the contract.

[0022] As a preferred solution of the steam network plant source steam pressure optimization control method based on data analysis described in the present invention, wherein: the acquisition of the recommended value of the plant source steam pressure includes:

[0023] For a certain moment, input the total flow rate D0 of the steam network and the actual flow rate data D of each user i , by finding the necessary plant source steam pressure P corresponding to the steam user who is using steam inThe maximum value determines the current steam network pressure control point user;

[0024] The necessary plant source steam pressure P corresponding to the user of the current steam network pressure control point in That is the recommended value of the plant source steam pressure P at that moment 0rv .

[0025] As a preferred solution of the steam pipeline plant source steam pressure optimization control method based on data analysis described in the present invention, in order to collect sufficient data to support the establishment of the user pressure difference mechanism correlation model, the data collection time interval can be 5 seconds to 1 minute, and the collection cycle can be 1 month to 1 year.

[0026] A second aspect of an embodiment of the present invention provides a steam network plant source steam pressure optimization control system based on data analysis, comprising:

[0027] A data processing unit, used for acquiring actual operation data of the steam network through a steam network operation history database, and establishing a user pressure difference mechanism correlation model after processing the actual operation data of the steam network;

[0028] A calculation and selection unit, used to calculate the necessary plant source steam pressure corresponding to the user according to the user pressure difference mechanism correlation model, and determine the user of the steam network pressure control point;

[0029] The optimization control unit is used to obtain the recommended value of the plant source steam pressure based on the determined steam network pressure control point user, so as to realize the optimization control of the plant source steam pressure of the pipeline network.

[0030] According to a third aspect of an embodiment of the present invention, a device is provided, the device comprising:

[0031] processor;

[0032] a memory for storing processor-executable instructions;

[0033] The processor is configured to call the instructions stored in the memory to execute the method described in any embodiment of the present invention.

[0034] According to a fourth aspect of an embodiment of the present invention, a computer-readable storage medium is provided, on which computer program instructions are stored, including:

[0035] When the computer program instructions are executed by a processor, a method according to any embodiment of the present invention is implemented.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] ① The optimization control method proposed in the present invention can be used for the directional control of the steam pressure of the steam pipe network plant source, and recommends the pressure adjustment value of the plant source steam according to the complex user steam load conditions. Provide scientific guidance for the plant source steam pressure control, clarify the optimization control strategy, avoid relying on the experience of operators for adjustment, effectively reduce the steam pressure fluctuation of downstream users of the steam pipe network, and maintain the pressure stability of downstream steam users;

[0038] ② The optimization control method proposed in the present invention can reduce the average operating pressure of the steam network and reduce the excessive supply of steam pressure to users. In this way, when the steam temperature remains unchanged, as the steam pressure decreases, the corresponding saturation temperature also decreases, thereby increasing the steam superheat and reducing the condensation loss of the steam network;

[0039] ③ The optimization control method proposed in the present invention can effectively improve the overall pipe network efficiency. According to the data analysis results, a 0.66% increase in pipe network efficiency can be achieved by reducing the average operating pressure of the steam pipe network by 0.1 MPa. By reducing the steam pressure, the energy utilization efficiency of the pipe network can be improved, energy waste can be reduced, and the operating cost of the pipe network can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. 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 creative labor. Among them:

[0041] Figure 1 An overall flow chart of a method for optimizing steam pressure in a steam network plant source based on data analysis provided by the present invention;

[0042] Figure 2 A schematic diagram of the steam transportation process of a steam pipeline network according to a method for optimizing the steam pressure of a steam pipeline network plant source based on data analysis provided by the present invention;

[0043] Figure 3 A schematic diagram of a user pressure difference correlation model of a steam network plant source steam pressure optimization control method based on data analysis provided by the present invention;

[0044] Figure 4 A schematic diagram of obtaining the recommended value of plant source steam pressure for a method for optimizing plant source steam pressure in a steam network based on data analysis provided by the present invention. DETAILED DESCRIPTION

[0045] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0046] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0047] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0048] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0049] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0050] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0051] Example 1

[0052] Reference Figure 1-2As an embodiment of the present invention, a method for optimizing and controlling the steam pressure of a steam network plant source based on data analysis is provided. The method can adjust the matching of the plant source steam temperature and flow rate, and give a pressure control recommendation value according to the complex working conditions of the steam network. Under the premise of meeting the user's steam pressure and flow requirements, the average operating pressure of the network can be effectively reduced, the steam superheat can be increased, and the overall network efficiency can be improved. Specifically, the following steps are included:

[0053] S1: Obtain the actual operation data of the steam network through the steam network operation history database. It should be noted that:

[0054] like Figure 2 As shown in the figure, the steam network in the industrial park is mainly a branch network. The heat source transmits industrial steam that meets the production needs to downstream users through the steam network. Each downstream industrial user directly takes steam from the steam network. The steam supplier usually agrees with the end user on the temperature and pressure parameters of the required industrial steam.

[0055] Specifically, the actual operation data of the steam network is obtained through the steam network operation history database, including the actual data of the plant source steam pressure P0, the actual data of the flow rate D0 (with timestamp), the steam pressure P received by each user downstream of the steam network, and the actual data of the steam flow rate D0 (with timestamp). i and flow rate D i The actual data (with unified timestamp) and the steam pressure demand value P agreed upon by the steam supplier and each downstream user in the contract ie In order to collect enough data to support the establishment of the user pressure difference mechanism correlation model, the data collection time interval can be 5 seconds to 1 minute, and the collection cycle can be 1 month to 1 year.

[0056] S2: After processing the actual operation data of the steam network, a user pressure difference mechanism correlation model is established. It should be noted that:

[0057] After processing the actual operation data of the steam network, the pressure difference ΔP between the steam pressure at the plant source and the steam pressure received by each user downstream of the steam network is calculated. i , expressed as:

[0058] ΔP i =P0-P i

[0059] The pressure difference is the driving force for steam transportation in the pipeline network. For long-distance pipelines, the steam pressure difference can be considered to be proportional to the square of the plant source steam flow rate, that is, Based on this, the user pressure difference mechanism correlation model is constructed, which is expressed as:

[0060]

[0061] Among them, a i 、b i、c i represents the coefficient of the correlation model;

[0062] It should be noted that the correlation coefficient a is obtained by training the pressure difference correlation model of each user using the actual operation data of the steam network. i 、b i 、c i and the average deviation σ between the actual and predicted values ​​of the vapor pressure difference i .

[0063] S3: Calculate the necessary plant source steam pressure corresponding to the user based on the user pressure difference mechanism correlation model. It should be noted that:

[0064] Calculate the necessary plant source steam pressure P corresponding to each steam user based on the plant source steam flow D0 in the current steam network operation data in , the necessary plant source steam pressure P corresponding to the downstream user i Equal to the user pressure difference ΔP i 2. The steam supplier and downstream users agree on the steam pressure demand value P in the contract ie and 3 times the average deviation of the predictions σ i The sum of is expressed as:

[0065] P in =ΔP i +P ie +3σ i

[0066] It should be noted that according to the 3σ criterion, the error value of ±3σ can be used as the limit error for the random error of normal distribution, and the probability that the random error falls outside ±3σ is only 0.27%. It can be considered that the possibility of the prediction deviation falling outside 3σ is extremely small, so the necessary plant source steam pressure P corresponding to the downstream user is used. in The necessary plant source steam pressure corresponding to the downstream user can meet the user's actual pressure requirements.

[0067] S4: Determine the users of the steam network pressure control points. It should be noted that:

[0068] Find the necessary steam pressure P of the steam source corresponding to the user who is using steam in The maximum value P inmax , the maximum value P inmax The corresponding user is the control point user of the steam pipeline network. The control point of the steam pipeline network means that while ensuring that the steam pressure of the steam user reaches the value agreed in the contract, the steam pressure of other steam users in the entire pipeline network will not fail to meet the value agreed in the contract.

[0069] S5: Based on the determined steam network pressure control point, the user obtains the recommended value of the plant source steam pressure to achieve optimal control of the plant source steam pressure of the network. It should be noted that:

[0070] For a certain moment, input the total flow rate D0 of the steam network and the actual flow rate data D of each user i , by finding the necessary plant source steam pressure P corresponding to the steam user who is using steam in The maximum value determines the current steam network pressure control point user;

[0071] The necessary plant source steam pressure P corresponding to the user at the current steam network pressure control point in That is the recommended value of the plant source steam pressure P at that moment 0rv .

[0072] From the above, the beneficial effects of the present invention are:

[0073] ① The optimization control method proposed in the present invention can be used for the directional control of the steam pressure of the steam pipe network plant source, and recommends the pressure adjustment value of the plant source steam according to the complex user steam load conditions. Provide scientific guidance for the plant source steam pressure control, clarify the optimization control strategy, avoid relying on the experience of operators for adjustment, effectively reduce the steam pressure fluctuation of downstream users of the steam pipe network, and maintain the pressure stability of downstream steam users;

[0074] ② The optimization control method proposed in the present invention can reduce the average operating pressure of the steam network and reduce the excessive supply of steam pressure to users. In this way, when the steam temperature remains unchanged, as the steam pressure decreases, the corresponding saturation temperature also decreases, thereby increasing the steam superheat and reducing the condensation loss of the steam network;

[0075] ③ The optimization control method proposed in the present invention can effectively improve the overall pipe network efficiency. According to the data analysis results, a 0.66% increase in pipe network efficiency can be achieved by reducing the average operating pressure of the steam pipe network by 0.1 MPa. By reducing the steam pressure, the energy utilization efficiency of the pipe network can be improved, energy waste can be reduced, and the operating cost of the pipe network can be reduced.

[0076] The second aspect of the present invention is disclosed,

[0077] Provided is a steam network plant source steam pressure optimization control system based on data analysis, including:

[0078] A data processing unit, used for acquiring actual operation data of the steam network through a steam network operation history database, and establishing a user pressure difference mechanism correlation model after processing the actual operation data of the steam network;

[0079] A calculation selection unit is used to calculate the necessary plant source steam pressure corresponding to the user according to the user pressure difference mechanism correlation model, and determine the user of the steam network pressure control point;

[0080] The optimization control unit is used to obtain the recommended value of the plant source steam pressure based on the determined steam network pressure control point user, so as to realize the optimization control of the plant source steam pressure of the pipeline network.

[0081] The third aspect of the present invention is as follows:

[0082] Provided is a device comprising:

[0083] processor;

[0084] a memory for storing processor-executable instructions;

[0085] The processor is configured to call instructions stored in the memory to execute any one of the aforementioned methods.

[0086] The fourth aspect of the present invention is disclosed,

[0087] A computer-readable storage medium is provided, on which computer program instructions are stored, including:

[0088] When the computer program instructions are executed by a processor, any of the above methods is implemented.

[0089] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0090] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: 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), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0091] Example 2

[0092] Reference Figure 3-4 This is the second embodiment of the present invention. Different from the first embodiment, this embodiment provides a verification test of a steam network plant source steam pressure optimization control method based on data analysis, in order to verify and illustrate the technical effects adopted in this method.

[0093] First, this embodiment obtains the actual operation data of the steam network through the steam network operation history database, including the actual data of the plant source steam pressure P0, the actual data of the flow rate D0 (with timestamp), the steam pressure P0 received by each user downstream of the steam network, and the actual data of the steam flow rate D1. i and flow rate D i In order to collect enough data to support the establishment of the user pressure difference mechanism correlation model, the data collection interval is 5 seconds and the collection cycle is 2 months. Then obtain the steam pressure demand value P agreed upon in the contract between the steam supplier and each downstream user ie Data, as shown in Table 1, users' demand for steam pressure is 0.5 MPa, and the steam pressure received by users is generally higher than 0.5 MPa, so there is room for optimization.

[0094] Table 1: User steam pressure demand data.

[0095]

[0096]

[0097] Then, after processing the actual operation data of the steam network, the pressure difference ΔP between the steam pressure at the plant source and the steam pressure received by each user downstream of the steam network is calculated. i The pressure difference is the driving force for steam transportation in the pipe network. For long-distance pipelines, it can be considered that the steam pressure difference is proportional to the square of the plant source steam flow, that is, Based on this, a user pressure difference mechanism correlation model is constructed, such as Figure 3 As shown in the figure, the pressure difference correlation model of a certain user is trained using actual operation data, and the correlation coefficients are obtained as follows: i =1.01×10 -5 , b i =0, c i =-0.01831, mean deviation σ i =0.005521, the coefficient of determination of the data model is 0.9546;

[0098] When the plant source steam pressure is 80 tons / hour, the user pressure difference is calculated to be 0.0466MPa. Calculate the necessary plant source steam pressure P for one of the users. in=0.5631MPa, therefore, as long as the pressure of the plant source steam is greater than 0.5631MPa at this time, it can be guaranteed that the user's steam pressure is greater than the contractually agreed value of 0.5MPa.

[0099] Find the necessary steam pressure P of the steam source corresponding to the steam user who is using steam in The maximum value P inmax , the maximum value P inmax The corresponding user is the control point user of the steam network. For example, at a certain moment, the maximum steam pressure P required by the plant source inmax It is 0.6171MPa, and the corresponding steam user is Weilun Warp Knitting, which is the control point user of the steam network.

[0100] like Figure 4 As shown, the actual value D0 and recommended value P of the plant source steam pressure can be obtained by calculation. 0rv Through statistics, the average value of the actual value D0 of the steam pressure of the plant source is 0.8313MPa, while the recommended value P 0rv The average value is 0.6445MPa. The recommended value of the plant source steam pressure can be reduced by an average of 0.1868MPa compared to the actual value. When the temperature remains unchanged, the steam superheat can be increased by 10.4℃. According to the data analysis results, a 0.66% increase in the network efficiency can be achieved by reducing the average operating pressure of the steam network by 0.1MPa. Therefore, through pressure control optimization, the overall network efficiency can be increased by 1.23%.

[0101] From the above, the present invention proposes a steam network plant source steam pressure optimization control method, which uses the actual operation data of the steam network to model the user's steam pressure, obtains the necessary plant source steam pressure corresponding to the user, and obtains the recommended value of the plant source steam pressure by determining the user of the steam network pressure control point. Under the premise of meeting the steam pressure demand of the downstream users of the steam network, the plant source steam pressure is adaptively adjusted according to the complex steam network load conditions to reduce the excessive supply of user steam pressure, reduce the overall operating pressure of the pipeline, and then increase the steam superheat, reduce the condensation tendency of the steam network, and improve the overall energy efficiency of the steam network.

[0102] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for optimizing and controlling steam pressure of a steam network plant source based on data analysis, characterized in that: include: Acquire actual operation data of the steam pipe network through a steam pipe network operation history database, and establish a user pressure difference mechanism correlation model after processing the actual operation data of the steam pipe network; Calculate the necessary plant source steam pressure corresponding to the user according to the user pressure difference mechanism correlation model, and determine the user of the steam network pressure control point; Based on the determined steam network pressure control point, the user obtains the recommended value of the plant source steam pressure to achieve optimal control of the plant source steam pressure of the network; The acquisition of the actual operation data of the steam network includes: The actual operation data of the steam network is obtained through the steam network operation history database, including the actual data of the plant source steam pressure P0, the actual data of the flow rate D0, the steam pressure P received by each user downstream of the steam network, and the actual data of the steam pressure P i and flow rate D i The actual data and the steam pressure demand value P agreed upon in the contract between the steam supplier and each downstream user ie ; The establishment of the user pressure difference mechanism correlation model includes: After processing the actual operation data of the steam network, the pressure difference ΔP between the steam pressure at the plant source and the steam pressure received by each user downstream of the steam network is calculated. i , expressed as: ΔP i =P0-P i The pressure difference is the driving force for steam transportation in the pipeline network. For long-distance pipelines, the steam pressure difference is considered to be proportional to the square of the plant source steam flow rate, that is, The user pressure difference mechanism correlation model is constructed in this way, which is expressed as: Among them, a i , b i 、c i The coefficients of the correlation model representing the user pressure difference mechanism; The actual operation data of the steam network is used to train the pressure difference mechanism correlation model of each user to obtain the correlation coefficient a i , b i 、c i and the average deviation σ between the actual and predicted values ​​of the vapor pressure difference i ; The calculation of the necessary plant source steam pressure corresponding to the user includes: Calculate the necessary plant source steam pressure P corresponding to each steam user based on the plant source steam flow D0 in the current steam network operation data in , the necessary plant source steam pressure P corresponding to the downstream user in Equal to the user pressure difference ΔP i 2. The steam supplier and downstream users agree on the steam pressure demand value P in the contract ie and 3 times the average deviation of the predictions σ i The sum of is expressed as: P in =ΔP i +P ie +3σ i ; In order to collect enough data to support the establishment of the user pressure difference mechanism correlation model, the data collection time interval is 5 seconds to 1 minute, and the collection cycle is 1 month to 1 year; Find the necessary steam pressure P of the steam source corresponding to the user who is using steam in The maximum value P inmax , the maximum value P inmax The corresponding user is the control point user of the steam network. The control point of the steam network means that when the steam pressure of the user reaches the value agreed in the contract, the steam pressure of other steam users in the entire network will not fail to meet the value agreed in the contract. For a certain moment, input the total flow of the steam network and the actual flow data of each user D i , by finding the necessary plant source steam pressure P corresponding to the steam user who is using steam in The maximum value determines the current steam network pressure control point user; The necessary plant source steam pressure P corresponding to the user at the current steam network pressure control point in That is the recommended value of the plant source steam pressure P at that moment 0rv .

2. A system for implementing the method for optimizing and controlling steam pressure of a steam network plant source based on data analysis as claimed in claim 1, characterized in that: include: A data processing unit, used for acquiring actual operation data of the steam pipe network through a steam pipe network operation history database, and establishing a user pressure difference mechanism correlation model after processing the actual operation data of the steam pipe network; A calculation and selection unit, used to calculate the necessary plant source steam pressure corresponding to the user according to the user pressure difference mechanism correlation model, and determine the user of the steam network pressure control point; The optimization control unit is used to obtain the recommended value of the plant source steam pressure based on the determined steam network pressure control point user, so as to realize the optimization control of the plant source steam pressure of the pipeline network.

3. A steam network plant source steam pressure optimization control device based on data analysis, characterized in that: The device comprises: processor; a memory for storing processor-executable instructions; The processor is configured to call the instructions stored in the memory to execute the method of claim 1.

4. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method of claim 1 is implemented.

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