System and method for efficient steam supply from a thermal power plant to an industrial park

Abstract

This invention discloses a system and method for efficiently supplying steam from a thermal power plant to an industrial park, belonging to the field of steam supply systems. The steam supply system of this invention includes a steam generation module; a transmission module, with pipelines connecting to various areas within the industrial park, each pipeline equipped with sensors to monitor steam parameters; a distribution and control module, including multiple electrically controlled regulating valves installed on each pipeline, each of which is equipped with an intelligent scheduling module and a steam parameter matching module. The intelligent scheduling module collects and analyzes the steam parameters monitored in the transmission module through an intelligent scheduling model to integrate and output the steam required by each area within the same time period. The steam parameter matching module converts the output of the intelligent scheduling model into an electrical signal and automatically adjusts the valve opening of the electrically controlled regulating valve to match the steam demand of each area; and a recovery module, with pipelines connected to the pipeline network terminal to recover waste heat from the steam.

Description

Technical Field

[0001] This invention relates to the field of steam supply system technology, and more specifically, to a system and method for efficiently supplying steam from a thermal power plant to an industrial park. Background Technology

[0002] In the energy supply sector, supplying steam from thermal power plants to industrial parks is a common energy transmission model. However, the current steam supply process suffers from numerous problems leading to excessive energy consumption. On the one hand, during steam transmission, significant energy loss occurs due to pipeline heat dissipation and pressure loss, reducing the effective utilization rate of steam. On the other hand, different enterprises within industrial parks have varying steam demand parameters (such as pressure, temperature, and flow rate), and there are multiple steam parameters. The traditional steam supply method involves supplying uniformly high-parameter steam to the users in each area, with the enterprises then reducing the pressure and temperature themselves. This process inevitably results in energy waste. Finally, because there are multiple steam parameters, such as pressure, temperature, and flow rate, thermal power plants cannot accurately determine the actual steam utilization and demand rates in each area, making it impossible to implement targeted transportation adjustments to reduce losses.

[0003] To address these issues, we propose a system and method for efficiently supplying steam from thermal power plants to industrial parks. Summary of the Invention

[0004] In view of the above-mentioned problems in the existing technology, the purpose of this invention is to provide a system and method for efficiently supplying steam from a thermal power plant to an industrial park.

[0005] To solve the above problems, the technical solution adopted by the present invention is as follows:

[0006] A system for efficiently supplying steam from a thermal power plant to an industrial park includes: The steam generation module is connected to the thermal power generation equipment to generate the steam needed by the industrial park; The conveying module includes a ring-shaped pipe network, which is formed by pipes wrapped with multi-layer composite insulation material and connected to various areas within the industrial park. Each pipe is equipped with a sensor to monitor the parameters of the steam conveying process. The distribution and control module includes multiple electrically controlled regulating valves installed on each pipeline. Each electrically controlled regulating valve is equipped with an intelligent scheduling module and a steam parameter matching module. The intelligent scheduling module collects and analyzes the steam parameters monitored in the delivery module through an intelligent scheduling model to integrate and output the steam required by each area within the same time period. The steam parameter matching module is used to convert the output of the intelligent scheduling model into an electrical signal and automatically adjust the valve opening of the electrically controlled regulating valve to match the steam demand of each area. The recovery module includes a waste heat boiler, the waste heat boiler being connected to the pipeline terminal to recover waste heat from steam.

[0007] Furthermore, the data collection and analysis steps of the intelligent scheduling module are as follows: Periodically acquire steam data from multiple sensors in various areas of the industrial park, configure the data parameters of each area into JSON format data packets according to the main body of the area, and output them uniformly; For each data packet, obtain the actual usage data within the main cycle of the current region, and simultaneously calculate the average daily steam consumption parameters of the current region and the contribution rate of the region to the total steam consumption parameters of the industrial park. For steam transportation in any area of ​​the industrial park, synchronous transportation is prioritized. The contribution rate of each area within the cycle is combined with a correction factor, and the process is optimized synchronously through an evolutionary algorithm to select the individual with the highest fitness as the current scheduling scheme. The intelligent scheduling module sends the current scheduling plan to the steam generation module, which then works with the steam parameter matching module to adjust the steam output of each region in the next cycle.

[0008] Furthermore, the calculation steps for the regional contribution rate are as follows: Build the target model,

[0009] in, This indicates the total steam parameters of the steam generation module. This represents the average daily steam consumption parameter for the i-th region. This represents the relative contribution rate of the i-th region; Normalize the contribution rates of all regions; Introducing Lagrange multipliers Handling normalization constraints and solution period The system of linear equations within it is used to derive , ,judge Does it meet the requirements? If the condition is met, output The steam consumption contribution rate of each region is obtained. If the condition is not met, the process is iterated again and the linear equation system is solved until the condition is met and the result is output.

[0010] Furthermore, the specific steps for optimizing the scheduling scheme using an evolutionary algorithm are as follows: The park is defined as having M main areas, each controlled by N electrically controlled regulating valves for steam output. The specific calculation steps of the evolutionary algorithm are as follows: Initialize DNA as ,in This represents the first base of the k-th individual in generation 0. This indicates that the main body of the calculation area 1 is numbered The output is controlled by an electronically controlled regulating valve; Calculate the fitness of individual k in generation 0.

[0011]

[0012] in, Indicates the current scheduling scheme The correction factor This indicates the ranking of the contribution rates of the current scheduling schemes; The 10% of individuals with the highest fitness in generation 0 are selected using a genetic algorithm, and offspring are generated through base interactions and mutations. Repeat the above steps until the maximum fitness of the population does not improve for three consecutive rounds; The DNA of the individual with the highest fitness is selected as the current scheduling order.

[0013] Furthermore, the steam parameters include steam consumption, steam temperature, and steam pressure.

[0014] Furthermore, the data parameter acquisition steps are as follows: the steam pressure is obtained by the pressure sensor through the conversion of the pressure signal into a voltage signal output, and after the analog signal is converted into a digital signal, it is sampled by the AD conversion module; the steam temperature is obtained by the temperature sensor directly outputting a 4-20mA analog signal, which is then converted by the ADC; the steam flow rate is detected by the gas flow sensor, and the gas flow sensor is selected according to the pipe diameter of each area, with different pipe diameters corresponding to different types of flow sensors.

[0015] Furthermore, before configuring the parameter data in JSON format, the steam parameter data obtained by various sensors are converted into a unified data frame format. Each data frame consists of a frame header, frame address, frame data, and frame checksum, and all data frames have the same length.

[0016] The steam supply method according to the aforementioned system for efficiently supplying steam from a thermal power plant to an industrial park includes the following steps: S1. By using sensors installed outside the pipeline in each area, the steam parameters of the steam transportation process are collected and monitored in real time. S2. The intelligent scheduling module processes and analyzes the monitored steam parameters through the intelligent scheduling model to obtain the optimal regional steam supply ranking within the current cycle of the industrial park. Based on the ranking results, the steam required by each region within the same period is integrated and output. S3. The steam parameter matching module is used to convert the output of the intelligent scheduling model into an electrical signal. In conjunction with the PLC electrical control, high-parameter steam supply is implemented for high-priority areas, and medium-low-parameter steam supply is implemented for low-priority areas. The valve opening of the electrical control regulating valve is matched synchronously to meet the steam demand of each area.

[0017] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for efficiently supplying steam from a thermal power plant to an industrial park.

[0018] A non-transitory computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of the method for efficiently supplying steam from a thermal power plant to an industrial park.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) Reduced energy consumption during transportation: The steam transportation pipeline adopts multi-layer composite insulation material and a ring structure design, which effectively reduces heat loss and pressure loss of steam during transportation, thereby reducing energy consumption. Real-time monitoring by temperature and pressure sensors can promptly detect abnormalities during transportation and make adjustments, further improving transportation efficiency; (2) Precisely match steam demand: The intelligent allocation and control module sorts the steam supply priority according to the real-time steam consumption of each enterprise, and then uses the intelligent regulating valve and steam parameter matching unit to carry out electronic control output, which avoids the energy waste caused by uniform high parameter steam supply in the traditional steam supply method and improves the utilization efficiency of steam. (3) Intelligent operation management: By using big data analysis and artificial intelligence algorithms, the entire steam supply system can be intelligently monitored and managed in each cycle. Combined with real-time analysis of actual steam operation data and prediction of steam demand, the system operation parameters and strategies for the next cycle can be adjusted in a timely manner, so that the steam supply system is always in a highly efficient and energy-saving operating state, which improves the stability and reliability of the system. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the modular structure of the steam supply system in this invention; Figure 2 This is a schematic diagram of the steam supply system scheduling process in this invention; Figure 3 This is a schematic flowchart of the steam supply method of the steam supply system in this invention. Detailed Implementation

[0021] The present invention will be further described below with reference to specific embodiments.

[0022] like Figure 1 , Figure 2 and Figure 3 As shown in this embodiment, a system for efficiently supplying steam from a thermal power plant to an industrial park includes: Steam generation module: Connected to existing thermal power generation equipment, it is used to generate steam to meet the needs of the industrial park. This module is equipped with a steam parameter adjustment device, which can dynamically adjust the steam pressure, temperature and other parameters according to the overall steam demand of the industrial park.

[0023] Steam transmission pipeline network: The pipeline is wrapped with multi-layer composite insulation material, and temperature and pressure sensors are installed on the outer layer of the pipeline to monitor the temperature and pressure changes of steam in real time during the transmission process. At the same time, the pipeline network is designed as a ring structure to ensure that steam can be flexibly delivered to various areas of the industrial park, reducing energy loss caused by uneven local pressure.

[0024] The intelligent distribution and control module includes multiple electrically controlled regulating valves and a steam parameter matching unit. The intelligent regulating valves are installed on branch pipelines of the steam transmission network leading to various enterprises. Each electrically controlled regulating valve is equipped with an intelligent scheduling module. This module collects and analyzes steam parameters monitored in the transmission module using an intelligent scheduling model to integrate and output the steam required by each area within the same time period. Finally, the steam parameter matching module converts the output of the intelligent scheduling model into an electrical signal, which is then used by the PLC to adjust the valve opening of the electrically controlled regulating valve to match the steam demand of each area, ensuring it meets the enterprise's production needs and avoiding unnecessary energy waste.

[0025] Waste heat recovery and utilization module: Installed in the steam generation module of thermal power plants and at the steam-using equipment of enterprises in industrial parks. In thermal power plants, the waste heat generated during the steam generation process is recovered and converted into hot water or low-pressure steam through a waste heat boiler for preheating boiler feedwater or other auxiliary production processes; in enterprises in industrial parks, the exhaust steam discharged from steam-using equipment is recovered, and heat pump technology is used to extract the heat from the exhaust steam for other heating processes within the enterprise or for domestic hot water supply.

[0026] For steam parameters, these include steam consumption, steam temperature, and steam pressure. Steam pressure is obtained by a pressure sensor converting a pressure signal into a voltage signal, which is then converted from analog to digital and sampled by an AD conversion module. Steam temperature is obtained by a temperature sensor directly outputting a 4-20mA analog signal, which is then converted by an ADC. Steam flow rate is detected by a gas flow sensor, selected based on the pipe diameter of each area; different pipe diameters correspond to different types of flow sensors. The steam parameter data acquired from multiple sensors are converted into a unified data frame format. Each data frame consists of a frame header, frame address, frame data, and frame checksum, and all data frames have the same length.

[0027] Since there are multiple steam parameters mentioned above, the actual scheduling process requires comprehensive consideration of these parameters to determine the actual steam usage and demand rates of enterprises in the current area. Therefore, this invention designs a separate intelligent scheduling module for matching, to correlate and unify all steam parameter data, and to clarify the steam usage priority of each area within each industrial park. The data collection and analysis steps of the intelligent scheduling module for implementing intelligent scheduling are as follows: (1) Periodically acquire steam data from multiple sensors in various areas of the industrial park, configure the data parameters of each area into JSON format data packets according to the main body of the area, and output them uniformly; (2) For each data packet, obtain the actual usage data within the main cycle of the current region, and simultaneously calculate the average daily steam consumption parameters of the current region and the contribution rate of the region to the total steam consumption parameters of the industrial park; (3) For steam transportation in any area of ​​the industrial park, synchronous transportation is prioritized. Combined with the contribution rate of each area within the cycle, a correction factor is used to optimize the process through an evolutionary algorithm to select the individual with the highest fitness as the current scheduling scheme. (4) The intelligent scheduling module sends the current scheduling scheme to the steam generation module, and the steam generation module, in conjunction with the steam parameter matching module, adjusts the steam output of each region in the next cycle.

[0028] In step (1) above, data acquisition is performed by different sensors. The selection of sensors needs to be based on the type of the measured parameter. The parameters to be measured are pressure, temperature and flow rate. Pressure is obtained by the sensor through the conversion of pressure signal into voltage signal output. After the analog signal is converted into a digital signal, it is sampled by the AD conversion module. Temperature is obtained by the temperature sensor directly outputting a 4-20mA analog signal, which is then converted by the ADC. The steam flow sensor needs to be selected according to the regional unit status. The flow sensor needs to be selected according to the pipe diameter. Different pipe diameters correspond to different types of flow sensors.

[0029] Steam parameter data acquired from multiple sensors is converted into data frames of a unified format. All data frames are of the same length and consist of a frame header, frame address, frame data, and frame checksum. The frame checksum is obtained by XORing the frame header and frame data. The frame header identifies the start bit, the frame address identifies the component sending the data, the frame data is the data information to be transmitted, and the frame checksum is used as an XOR check bit. For example, the frame address is a 2-bit octal address, the frame data is a 15-bit hexadecimal data, and the frame header is a 7-bit "1100111". The real-time acquired data is packaged, then transmitted using the CAN bus communication protocol and configured in JSON format for input into the scheduling model for analysis and output.

[0030] For steps (2) and (3), the calculation steps for the regional contribution rate are as follows: Build the target model,

[0031] in, This indicates the total steam parameters of the steam generation module. This represents the average daily steam consumption parameter for the i-th region. This represents the relative contribution rate of the i-th region; Normalize the contribution rates of all regions; Introducing Lagrange multipliers Handling normalization constraints and solution period The system of linear equations within it is used to derive , ,judge Does it meet the requirements? If the condition is met, output The steam consumption contribution rate of each region is obtained. If the condition is not met, the process is iterated again and the linear equation system is solved until the condition is met and the result is output.

[0032] The specific steps for optimizing the scheduling scheme using an evolutionary algorithm are as follows: The park is defined as having M main areas, each controlled by N electrically controlled regulating valves for steam output. The specific calculation steps of the evolutionary algorithm are as follows: Initialize DNA as ,in This represents the first base of the k-th individual in generation 0. This indicates that the main body of the calculation area 1 is numbered The output is controlled by an electronically controlled regulating valve; Calculate the fitness of individual k in generation 0.

[0033]

[0034] in, Indicates the current scheduling scheme The correction factor This indicates the ranking of the contribution rates of the current scheduling schemes; The 10% of individuals with the highest fitness in generation 0 are selected using a genetic algorithm, and offspring are generated through base interactions and mutations. Repeat the above steps until the maximum fitness of the population does not improve for three consecutive rounds; The DNA of the individual with the highest fitness is selected as the current scheduling order.

[0035] As can be seen, this invention uses an intelligent scheduling module to process and analyze the monitored steam parameters through an intelligent scheduling model, obtaining the optimal regional steam supply ranking for the industrial park within the current cycle. Based on the ranking results, the steam required by each region within the same time period is integrated and output. Finally, a steam parameter matching module is used to convert the output of the intelligent scheduling model into an electrical signal. In conjunction with PLC electrical control, high-parameter steam supply is implemented for high-priority areas, and medium-low-parameter steam supply is implemented for low-priority areas. The valve opening of the electrically controlled regulating valve is matched synchronously to meet the steam demand of each region.

[0036] Furthermore, the aforementioned methods, steps, and systems can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0037] The technical scope of this invention is not limited to the content described above. Those skilled in the art can make various modifications and variations to the above embodiments without departing from the technical concept of this invention, and all such modifications and variations should fall within the protection scope of this invention.

Claims

1. A system for efficient steam supply from a thermal power plant to an industrial park, characterized in that, include: The steam generation module is connected to the thermal power generation equipment to generate the steam needed by the industrial park; The conveying module includes a ring-shaped pipe network, which is formed by pipes wrapped with multi-layer composite insulation material and connected to various areas within the industrial park. Each pipe is equipped with a sensor to monitor the parameters of the steam conveying process. The distribution and control module includes multiple electrically controlled regulating valves installed on each pipeline. Each electrically controlled regulating valve is equipped with an intelligent scheduling module and a steam parameter matching module. The intelligent scheduling module collects and analyzes the steam parameters monitored in the delivery module through an intelligent scheduling model to integrate and output the steam required by each area within the same time period. The steam parameter matching module is used to convert the output of the intelligent scheduling model into an electrical signal and automatically adjust the valve opening of the electrically controlled regulating valve to match the steam demand of each area. The recovery module includes a waste heat boiler, the waste heat boiler being connected to the pipeline terminal to recover waste heat from steam.

2. The system for efficient steam supply from a thermal power plant to an industrial park according to claim 1, characterized in that: The data collection and analysis steps of the intelligent scheduling module are as follows: Periodically acquire steam data from multiple sensors in various areas of the industrial park, configure the data parameters of each area into JSON format data packets according to the main body of the area, and output them uniformly; For each data packet, obtain the actual usage data within the main cycle of the current region, and simultaneously calculate the average daily steam consumption parameters of the current region and the contribution rate of the region to the total steam consumption parameters of the industrial park. For steam transportation in any area of ​​the industrial park, synchronous transportation is prioritized. The contribution rate of each area within the cycle is combined with a correction factor, and the process is optimized through an evolutionary algorithm to select the individual with the highest fitness as the current scheduling scheme. The intelligent scheduling module sends the current scheduling plan to the steam generation module, which then works with the steam parameter matching module to adjust the steam output of each region in the next cycle.

3. The system for efficient steam supply from a thermal power plant to an industrial park according to claim 2, characterized in that: The steps for calculating the regional contribution rate are as follows: constructing a target model, wherein, represents the total parameter of steam of the steam generation module, represents the daily average steam consumption parameter of the i-th region, represents the relative contribution rate of the i-th region; Normalize the contribution rates of all regions; Introducing Lagrange multipliers Handling normalization constraints and solution period The system of linear equations within it is used to derive , ,judge Does it meet the requirements? If the condition is met, output The steam consumption contribution rate of each region is obtained. If the condition is not met, the process is iterated again and the linear equation system is solved until the condition is met and the result is output.

4. A system for efficiently supplying steam from a thermal power plant to an industrial park according to claim 3, characterized in that, The specific steps for optimizing the scheduling scheme using an evolutionary algorithm are as follows: The park is defined as having M main areas, each controlled by N electrically controlled regulating valves for steam output. The specific calculation steps of the evolutionary algorithm are as follows: Initialize DNA as ,in This represents the first base of the k-th individual in generation 0. This indicates that the main body of the calculation area 1 is numbered The output is controlled by the electrically controlled regulating valve; Calculate the fitness of individual k in generation 0. in, Indicates the current scheduling scheme The correction factor This indicates the ranking of the contribution rates of the current scheduling schemes; The 10% of individuals with the highest fitness in generation 0 are selected using a genetic algorithm, and offspring are generated through base interactions and mutations. Repeat the above steps until the maximum fitness of the population does not improve for three consecutive rounds; The DNA of the individual with the highest fitness is selected as the current scheduling order.

5. A system for efficiently supplying steam from a thermal power plant to an industrial park according to claim 2, characterized in that: The steam parameters include steam consumption, steam temperature, and steam pressure.

6. The system for efficient steam supply from a thermal power plant to an industrial park according to claim 5, characterized in that, The data parameter acquisition steps are as follows: the steam pressure is obtained by the pressure sensor through the conversion of the pressure signal into a voltage signal output, and after the analog quantity is converted into a digital quantity, it is sampled by the AD conversion module; the steam temperature is obtained by the temperature sensor directly outputting a 4-20mA analog quantity, which is then converted by the ADC; the steam flow rate is detected by the gas flow sensor, and the gas flow sensor is selected according to the pipe diameter of each area. Different pipe diameters correspond to different types of flow sensors.

7. A system for efficiently supplying steam from a thermal power plant to an industrial park according to claim 6, characterized in that, Before configuring the parameter data in JSON format, the steam parameter data obtained by various sensors are converted into a unified data frame format. Each data frame consists of a frame header, frame address, frame data, and frame checksum, and all data frames have the same length.

8. The method of claim 1-7, wherein the system is characterized in that, Includes the following steps: S1. By using sensors installed outside the pipeline in each area, the steam parameters of the steam transportation process are collected and monitored in real time. S2. The intelligent scheduling module processes and analyzes the monitored steam parameters through the intelligent scheduling model to obtain the optimal regional steam supply ranking within the current cycle of the industrial park. Based on the ranking results, the steam required by each region within the same period is integrated and output. S3. The steam parameter matching module is used to convert the output of the intelligent scheduling model into an electrical signal. In conjunction with the PLC electrical control, high-parameter steam supply is implemented for high-priority areas, and medium-low-parameter steam supply is implemented for low-priority areas. The valve opening of the electrical control regulating valve is matched synchronously to meet the steam demand of each area.

9. An electronic device 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 program, it implements the steps of the method for efficiently supplying steam from a thermal power plant to an industrial park as described in claim 8.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it is used to implement the steps of the method for efficiently supplying steam from a thermal power plant to an industrial park as described in claim 8.

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