Coal mine waste heat recovery management method and device

Abstract

The invention provides a coal mine waste heat recovery management method and device, and relates to the technical field of waste heat recovery, the method comprises the following steps: arranging a heat energy monitoring sensor array in a target area, monitoring a coal mine energy conversion system, and obtaining a heat source data set; determining a plurality of waste heat recovery nodes; constructing a waste heat recovery scheme library; the multiple waste heat recovery nodes are monitored; carrying out recovery efficiency evaluation on the monitoring data of the plurality of nodes, and screening according to an evaluation result to obtain a plurality of waste heat recovery energy-saving nodes; and a multi-objective optimization algorithm is adopted for optimization, the waste heat recovery scheme library is updated, and coal mine waste heat recovery management is carried out. The technical problem that in the prior art, due to the fact that waste heat recovery is difficult to dynamically adjust according to specific conditions and requirements of a coal mine, the waste heat recovery efficiency is poor is solved, the heat energy monitoring sensing array is arranged, the waste heat recovery scheme is optimized through the multi-target optimization algorithm, and the coal mine waste heat recovery efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of waste heat recovery, in particular to a coal mine waste heat recovery management method and device. BACKGROUND

[0002] In the process of coal mine production, waste heat recovery is an important means to improve energy utilization efficiency, reduce production cost and reduce environmental pollution. At present, the existing coal mine waste heat recovery method usually relies on fixed recovery scheme and design parameters, and it is difficult to adjust in real time according to the specific heat source fluctuation and energy demand change, resulting in low energy recovery efficiency. The waste heat recovery scheme is often one-size-fits-all, and lacks the ability to flexibly adjust according to the actual working conditions and energy demand of specific coal mine sites. The heat source situation, equipment configuration and energy demand of each mine are different, and the unified recovery scheme is difficult to meet the needs of different coal mines.

[0003] In summary, in the prior art, there is a technical problem that the waste heat recovery is difficult to dynamically adjust according to the specific situation and demand of the coal mine, resulting in poor waste heat recovery efficiency. SUMMARY

[0004] The purpose of the present application is to provide a coal mine waste heat recovery management method and device to solve the technical problem in the prior art that the waste heat recovery is difficult to dynamically adjust according to the specific situation and demand of the coal mine, resulting in poor waste heat recovery efficiency.

[0005] In view of the above problems, the present application provides a coal mine waste heat recovery management method and device.

[0006] In a first aspect, the present application provides a coal mine waste heat recovery management method, which is realized by a coal mine waste heat recovery management device, wherein the coal mine waste heat recovery management method comprises: arranging a thermal energy monitoring sensor array in a target area, monitoring a coal mine energy conversion system, and obtaining a heat source data set; performing heat source evaluation on the heat source data set to determine a plurality of waste heat recovery nodes; constructing a waste heat recovery scheme library based on the heat source characteristic parameters of the plurality of waste heat recovery nodes and combining energy demand; monitoring the plurality of waste heat recovery nodes through the thermal energy monitoring sensor array to obtain a plurality of node monitoring data; performing recovery efficiency evaluation on the plurality of node monitoring data, screening the plurality of waste heat recovery nodes according to the recovery efficiency evaluation result, and obtaining a plurality of waste heat recovery energy-saving nodes; extracting a plurality of waste heat recovery schemes corresponding to the plurality of waste heat recovery energy-saving nodes from the waste heat recovery scheme library, using a multi-objective optimization algorithm to optimize the plurality of waste heat recovery schemes, generating a plurality of waste heat recovery optimization schemes, updating the waste heat recovery scheme library, and performing coal mine waste heat recovery management.

[0007] Optionally, the coal mine energy conversion system comprises a high-efficiency waste air waste heat utilization system, a mine water waste heat utilization system, an air compressor waste heat utilization system, a new low-temperature radiation heating system and a heat storage cross-season energy storage system.

[0008] Optionally, the heat source data set is subjected to data preprocessing to obtain a heat source standard data set; the waste heat recovery demand of the target area is obtained, the heat source standard data set is clustered to obtain M waste heat recovery nodes, wherein M is a positive integer greater than or equal to 1; the waste heat amount of the M waste heat recovery nodes is calculated, and waste heat recovery nodes with a waste heat amount greater than or equal to a preset threshold value are screened to obtain a plurality of waste heat recovery nodes.

[0009] Optionally, load demand analysis is performed according to the energy consumption side demand to obtain an energy consumption side initial load curve; the temperature demand of a preset period is obtained, and the energy consumption side initial load curve is corrected to obtain an energy consumption side load curve; based on the standard temperature range of the plurality of waste heat recovery nodes, the heat source characteristic parameters and the energy consumption side load curve are matched to design a plurality of waste heat recovery paths of the plurality of waste heat recovery nodes; based on the heat source characteristic parameters and the energy consumption side load curve, a recovery scheme is identified, and in combination with the plurality of waste heat recovery paths, a plurality of waste heat recovery schemes are generated and added to the waste heat recovery scheme library.

[0010] Optionally, a heat source control scheme identifier is pre-constructed, and the heat source control scheme identifier is used to identify the heat source characteristic parameters and the energy consumption side load curve to obtain a target recovery scheme.

[0011] Optionally, based on the plurality of node monitoring data, a plurality of heat source input values and a plurality of heat source output values are determined; the ratio of the plurality of heat source output values to the plurality of heat source input values is calculated to obtain a recovery efficiency evaluation result; the recovery efficiency evaluation result is traversed, a first recovery efficiency evaluation result is extracted from the recovery efficiency evaluation result, and the first recovery efficiency evaluation result is compared with a preset recovery threshold value; if the first recovery efficiency evaluation result is greater than or equal to the preset recovery threshold value, a corresponding first waste heat recovery node is added to the plurality of waste heat recovery nodes; if the first recovery efficiency evaluation result is less than the preset recovery threshold value, the first recovery scheme of the corresponding first waste heat recovery node is adjusted, and the waste heat recovery scheme library is updated.

[0012] Optionally, a target function is determined based on carbon emission minimization and comprehensive energy efficiency maximization, wherein the comprehensive energy efficiency comprises energy supply side energy efficiency, energy utilization side energy efficiency and coal mine energy conversion system energy efficiency; fitness evaluation of the plurality of waste heat recovery schemes is performed through the target function to obtain a plurality of fitness scores; and the plurality of waste heat recovery schemes are optimized based on the plurality of fitness scores, and the energy supply side, the energy utilization side and the coal mine energy conversion system are cooperatively regulated to generate the plurality of waste heat recovery optimization schemes.

[0013] In a second aspect, the application further provides a coal mine waste heat recovery management device for performing the coal mine waste heat recovery management method as described in the first aspect, wherein the coal mine waste heat recovery management device comprises: a data monitoring module for deploying a thermal energy monitoring sensor array in a target area, monitoring a coal mine energy conversion system and obtaining a heat source data set; a heat source evaluation module for evaluating the heat source data set to determine a plurality of waste heat recovery nodes; a scheme construction module for constructing a waste heat recovery scheme library based on heat source characteristic parameters of the plurality of waste heat recovery nodes and combining energy utilization side requirements; a node monitoring module for monitoring the plurality of waste heat recovery nodes through the thermal energy monitoring sensor array to obtain a plurality of node monitoring data; an energy saving node screening module for evaluating the plurality of node monitoring data in terms of recovery efficiency, screening the plurality of waste heat recovery nodes according to the recovery efficiency evaluation results and obtaining a plurality of waste heat recovery energy saving nodes; and a scheme optimization module for extracting a plurality of waste heat recovery schemes corresponding to the plurality of waste heat recovery energy saving nodes from the waste heat recovery scheme library, optimizing the plurality of waste heat recovery schemes by using a multi-objective optimization algorithm, generating a plurality of waste heat recovery optimization schemes, updating the waste heat recovery scheme library and performing coal mine waste heat recovery management.

[0014] The one or more technical solutions provided in the application have at least the following beneficial effects: The heat energy monitoring sensor array is arranged in the target area to monitor the coal mine energy conversion system, and a heat source data set is obtained; the heat source data set is evaluated to determine a plurality of waste heat recovery nodes; a waste heat recovery scheme library is constructed based on the heat source characteristic parameters of the plurality of waste heat recovery nodes and in combination with energy side demand; the plurality of waste heat recovery nodes are monitored by the heat energy monitoring sensor array to obtain a plurality of node monitoring data; the plurality of node monitoring data are evaluated for recovery efficiency, the plurality of waste heat recovery nodes are screened according to the recovery efficiency evaluation results, and a plurality of waste heat recovery energy-saving nodes are obtained; a plurality of waste heat recovery schemes corresponding to the plurality of waste heat recovery energy-saving nodes are extracted from the waste heat recovery scheme library, a multi-objective optimization algorithm is used to optimize the plurality of waste heat recovery schemes, a plurality of waste heat recovery optimization schemes are generated, the waste heat recovery scheme library is updated, and coal mine waste heat recovery management is performed. That is, by collecting data of the coal mine energy conversion system, determining waste heat recovery nodes, and constructing a waste heat recovery scheme library, the recovery efficiency of the recovery nodes is evaluated, the waste heat recovery scheme library is optimized, and coal mine waste heat recovery management is performed, thereby improving the efficiency of coal mine waste heat recovery.

[0015] The above description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the specific embodiments of the present application can be implemented according to the content of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only exemplary, and other drawings can be obtained by those skilled in the art without creating labor on the basis of the provided drawings.

[0017] Figure 1 The flowchart of the coal mine waste heat recovery management method of the present application.

[0018] Figure 2 The structure diagram of the coal mine waste heat recovery management device of the present application.

[0019] Explanation of reference signs: data monitoring module 11, heat source evaluation module 12, scheme construction module 13, node monitoring module 14, energy-saving node screening module 15, scheme optimization module 16. DETAILED DESCRIPTION

[0020] The present application provides a coal mine waste heat recovery management method and device, which solves the technical problem of poor waste heat recovery efficiency in the prior art due to the difficulty of dynamic adjustment of waste heat recovery according to the specific situation and needs of the coal mine. By collecting data on the coal mine energy conversion system, determining the waste heat recovery node, and constructing a waste heat recovery scheme library, the recovery efficiency of the recovery node is evaluated, the waste heat recovery scheme library is optimized, and the coal mine waste heat recovery management is carried out, thereby improving the efficiency of coal mine waste heat recovery.

[0021] The technical solutions in the present application will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application. In addition, it should be noted that, for convenience of description, only parts related to the present application are shown in the drawings, not all.

[0022] Embodiment one, please refer to the accompanying Figure 1 The present application provides a coal mine waste heat recovery management method, wherein the coal mine waste heat recovery management method is executed by a coal mine waste heat recovery management device, and the coal mine waste heat recovery management method specifically includes the following steps: S100: A thermal energy monitoring sensor array is arranged in a target area to monitor the coal mine energy conversion system and obtain a heat source data set.

[0023] The coal mine energy conversion system includes a high-efficiency waste air heat utilization system, a mine water waste heat utilization system, an air compressor waste heat utilization system, a new low-temperature radiation heating system, and a heat storage seasonal energy storage system.

[0024] Specifically, a thermal energy monitoring sensor array is deployed in the target area, including the energy supply side, energy consumption side, and coal mine energy conversion system of the target coal mine area. The target area is a specific area in the coal mine where the thermal energy monitoring device is deployed, usually the core area of the coal mine energy conversion system or the main waste heat source area, such as the energy supply side, energy consumption side, etc. The energy supply side refers to the party responsible for providing energy in the energy production and conversion link. In the coal mine energy conversion system, the energy supply side includes power supply (new energy load), green electricity, coal-fired heating and storage, coal-fired heating and valley filling, etc., which mainly provides basic energy support for the coal mine energy conversion system. The energy consumption side refers to the final user of energy, including heating, underground cooling, public building heating, industrial building heating, and hot water supply. The energy consumption side consumes the energy provided by the energy supply side to meet the thermal energy needs of production and life. The thermal energy monitoring sensor array refers to a combination of a group of sensor devices for real-time monitoring and collecting thermal energy data in various areas of the coal mine, such as temperature, heat flow, and thermal power.

[0025] Waste heat recovery management provides additional energy supply for the energy supply side. The energy supply side not only directly provides basic energy such as coal-fired power and green electricity, but also recovers waste heat from the production process through waste heat recovery management, further optimizing energy supply. For example, the high-efficiency waste heat utilization system in the coal mine energy conversion system can convert the otherwise wasted heat energy into usable heat energy, reducing the energy supply side's dependence on traditional fossil fuels, thereby reducing carbon emissions and operating costs. Waste heat recovery management provides a source of thermal energy for the energy consumption side. Various needs of the energy consumption side (such as heating and industrial heat) can be met through recovered waste heat, not only improving energy utilization efficiency, but also reducing the consumption of traditional energy by the energy consumption side. For example, the heat energy recovered by the mine water waste heat utilization system can be used for public building heating or industrial production, thereby reducing the dependence on traditional heating methods. The energy supply side and the energy consumption side are the two ends of the energy system, with the energy supply side providing energy and the energy consumption side consuming energy. Waste heat recovery management as an intermediate link optimizes the supply and use of energy, making the relationship between the energy supply side and the energy consumption side more efficient and sustainable. For example, the energy supply side reduces energy waste through waste heat recovery management, while the energy consumption side achieves energy saving through recovered heat energy, forming a closed-loop energy utilization system.

[0026] The coal mine energy conversion system is monitored through the thermal energy monitoring sensor array, which is a system that converts different types of waste heat or low-temperature thermal energy into usable energy within the coal mine, i.e., a system that recovers and utilizes heat sources. The coal mine energy conversion system usually involves multiple subsystems, each of which recovers, converts, and utilizes a specific type of waste heat, including a high-efficiency waste air heat utilization system, a mine water waste heat utilization system, an air compressor waste heat utilization system, a new low-temperature radiant heating system, and a heat storage seasonal energy storage system.

[0027] The high-efficiency waste air heat utilization system is used to recover the heat energy released by the internal equipment of the coal mine (such as the ventilation system), which is usually used for heat recovery of the equipment. The waste air is a low-efficiency ventilation condition when there is not enough circulating air, and a proper waste heat recovery system can recover and utilize its heat energy. The waste water (such as mine water) generated during the operation of the coal mine may contain a certain amount of heat, and the mine water waste heat utilization system can convert the waste heat into usable energy, such as heating or power supply, through proper heat exchange process. Air compressors are widely used in coal mine operation, and a large amount of waste heat is generated during operation. The air compressor waste heat utilization system can recover this waste heat to provide hot water, heating or other energy needs. The new low-temperature radiation heating system uses low-temperature radiation technology to effectively convert low-temperature heat energy into radiation heating for heating or hot water. The thermal storage cross-season energy storage system stores the excess heat and uses it when the seasonal demand changes. In particular, during the production process of the coal mine, more heat is generated during certain time periods, which can be stored and used in the future during the low demand period, optimizing energy supply.

[0028] Each subsystem is monitored by a thermal energy monitoring sensor array. By collecting thermal source data of each system, the thermal energy conversion of each system under different operating conditions and the synergistic effect between systems can be understood in depth. Through these data, the working efficiency of each subsystem can be accurately analyzed, and potential energy efficiency optimization space can be identified. By arranging the thermal energy monitoring sensor array, the coal mine energy conversion system can monitor the heat source conditions of different waste heat recovery nodes in real time, ensuring that each part of the coal mine waste heat recovery system can be adjusted according to the actual heat source changes, thereby optimizing the recovery efficiency of each subsystem.

[0029] S200: performing heat source evaluation on the heat source data set to determine a plurality of waste heat recovery nodes.

[0030] Further, the S200 of the present application comprises: performing data preprocessing on the heat source data set to obtain a heat source standard data set; obtaining the waste heat recovery demand of the target area, clustering the heat source standard data set to obtain M waste heat recovery nodes, wherein M is a positive integer greater than or equal to 1; calculating the waste heat amount of the M waste heat recovery nodes, and screening the waste heat recovery nodes with waste heat amount greater than or equal to a preset threshold to obtain a plurality of waste heat recovery nodes.

[0031] Specifically, the heat source data set is evaluated for heat sources, i.e., by evaluating the characteristics of the heat sources, such as temperature, heat flow, heat loss, etc., to determine which areas have greater potential for waste heat recovery. Through data preprocessing of the heat source data set, including removing noise data, filling missing values, etc., the accuracy and usability of the data are ensured, and a standard heat source data set is obtained. Specifically, the original heat source data set usually has noise or outliers, which need to be cleaned. By removing outliers and filling missing values, the integrity of the data is ensured. Standardize the data to ensure that data from different sources have a uniform scale.

[0032] According to the production target of the coal mine, energy consumption and other factors, the waste heat recovery demand of the target area is obtained, and the recovery target of the target coal mine area is understood, including the target of recovered heat, the recovery period, the recovery efficiency requirement, etc. Different areas or equipment may have different demands for waste heat recovery. Use clustering algorithms (such as K-means, DBSCAN, etc.) to cluster the standardized heat source data set, and divide the heat source data into M waste heat recovery nodes, where M is a positive integer greater than or equal to 1. The purpose of clustering is to divide regions with similar heat source characteristics (such as temperature, heat flow, etc.) into the same class, making it easier to analyze later. Clustering algorithms divide data points into multiple clusters by calculating the similarity between each data point. Each cluster represents a waste heat recovery node, and regions or equipment with similar heat source characteristics are classified into the same category.

[0033] For each waste heat recovery node obtained by clustering, the waste heat of the M waste heat recovery nodes is calculated, i.e., the recoverable heat energy that each node can provide, usually in kilowatts (kW) or megawatts (MW), indicating the waste heat resources that the area can provide. The waste heat is calculated by the temperature, heat flow, etc. in the heat source data, and the heat energy formula Q=m·C p ·ΔT is used to estimate the heat energy, where m is the mass flow of the fluid, usually calculated by the flow Q and the density ρ of the fluid, C p is the specific heat capacity of the fluid, and ΔT is the temperature difference (i.e., the difference between the inlet and outlet temperatures of the fluid). In the heat source recovery process, a standard value of heat (i.e., a threshold value) is set. Only when the waste heat of a waste heat recovery node reaches or exceeds this threshold value, the node will be selected as an effective recovery node.

[0034] For M waste heat recovery nodes of M waste heat, respectively, compared with the preset threshold, the waste heat recovery nodes greater than or equal to the preset threshold are extracted, and a plurality of waste heat recovery nodes are obtained. Through data preprocessing and cluster analysis on the heat source data set, the most suitable recovery node for waste heat recovery is identified, ensuring that the recovery management is concentrated on the high potential node, improving the recovery efficiency, and also being able to flexibly adjust the selection of the recovery node according to the waste heat recovery demand of the coal mine and the preset threshold, so as to realize accurate energy management.

[0035] S300: Based on the heat source characteristic parameters of the plurality of waste heat recovery nodes, a waste heat recovery scheme library is constructed in combination with the energy consumption side demand.

[0036] Further, the S300 of the present application comprises: According to the energy consumption side demand, load demand analysis is performed to obtain an initial load curve of the energy consumption side; temperature demand of a preset period is obtained, and the initial load curve of the energy consumption side is corrected to obtain a load curve of the energy consumption side; based on the standard temperature range of the plurality of waste heat recovery nodes, the heat source characteristic parameters and the load curve of the energy consumption side are matched to design a plurality of waste heat recovery paths of the plurality of waste heat recovery nodes; based on the heat source characteristic parameters and the load curve of the energy consumption side, a recovery scheme is identified, and in combination with the plurality of waste heat recovery paths, a plurality of waste heat recovery schemes are generated and added to the waste heat recovery scheme library.

[0037] Further, the present application further comprises the following steps: A heat source control scheme identifier is pre-constructed, and the heat source characteristic parameters and the load curve of the energy consumption side are identified by using the heat source control scheme identifier to obtain a target recovery scheme.

[0038] Specifically, the energy consumption side demand is the demand of the energy consumption side in the target area for heat energy, such as wellbore anti-freezing, public building heating, industrial building heating, domestic hot water supply, coal preparation plant production heat, and mine water deep treatment. Load demand analysis is performed on the energy consumption side demand to obtain the heat demand curve of each device or system in unit time, which is called load curve. The initial load curve is usually estimated according to historical data. The temperature demand of a preset period is obtained, i.e. the temperature requirement of the energy consumption side of the coal mine for heat energy demand in a preset time period. For example, higher temperature may be required in winter. According to the temperature demand of different time periods, the initial load curve is corrected. The corrected curve can more accurately reflect the actual heat demand. The change of temperature demand will affect the required heat energy, because different temperature demands correspond to different heat energy consumption. For example, an industrial production needs to maintain a temperature of 100℃ in a certain period, while in another period it may only need to maintain a temperature of 60℃, and the load curve will be adjusted according to these temperature requirements to ensure that the energy supply meets the changing temperature demand.

[0039] According to the standard temperature range of the plurality of waste heat recovery nodes, the heat source characteristic parameters of each waste heat recovery node are matched with the corrected load curve of the energy-using side. Through this matching, it can be determined whether the heat source of each waste heat recovery node can meet the temperature demand of the energy-using side. The standard temperature range refers to the temperature range that each waste heat recovery node can provide, which is usually determined according to the heat source characteristics of each recovery node. Based on the matching result, the waste heat recovery path is designed, which describes the way of heat transmission from the waste heat recovery node to the energy-using side, which can be direct recovery, heat storage recovery, heat exchange and different ways. Each waste heat recovery path will have different recovery efficiency and cost, and the purpose of path design is to optimize heat energy recovery and transmission.

[0040] The heat source characteristic parameters (such as temperature, flow, etc.) and the load curve (including temperature requirements, heat demand, etc.) are input into the heat source control scheme recognizer for waste heat recovery scheme recognition, to obtain a target recovery scheme, combine multiple waste heat recovery paths, generate multiple waste heat recovery schemes, and jointly constitute a waste heat recovery scheme library. The heat source control scheme recognizer is designed and pre-built, including selecting appropriate algorithms or models to process the data of heat source characteristic parameters and energy-using side load curve. The main task of the recognizer is to automatically identify the most suitable heat source recovery scheme from the input data. The heat source characteristics and load demand are matched according to experience rules or expert knowledge. The heat source control scheme recognizer receives input data, including heat source characteristic parameters and energy-using side load curve. The input heat source characteristic parameters and load curve data need to be preprocessed, including data standardization, denoising, time synchronization and other steps. Based on the heat source characteristics and the load curve, the recognizer matches the appropriate recovery scheme through the pre-set rules or machine learning model. For example, according to the temperature demand of the load curve, the appropriate heat source is selected, or according to the feasibility of the recovery path, the optimal scheme is selected. The recognizer outputs a complete recovery scheme according to the matching result, determines the waste heat recovery path, heat source node, energy conversion mode, etc. The target recovery scheme given by the heat source control scheme recognizer provides heat source selection, recovery heat scene, heat energy distribution, etc.

[0041] The heat source characteristic parameters and the load curve of the energy consumption side are input into the recovery scheme identifier, the identifier analyzes the relationship between the heat source and the load demand according to the input data, and thus automatically identifies the target recovery scheme. The target recovery scheme is further corrected based on multiple waste heat recovery paths. That is, the advantages and disadvantages and adaptability of different recovery paths are combined with the preliminary recovery scheme to correct and optimize the recovery scheme. For example, the order, recovery efficiency and energy matching degree of waste heat recovery are optimized. The optimized recovery scheme is added to the recovery scheme library to ensure that a more suitable scheme can be used in future operation. The recovery scheme library can adapt to different load demands and changes in heat source state through continuous updating. Through load demand analysis and temperature correction, the real demand of the energy consumption side is accurately reflected, and a more suitable strategy is provided for waste heat recovery. The designed waste heat recovery path ensures efficient transmission of heat energy from the recovery node to the energy consumption side, and the optimized recovery scheme is generated according to the specific heat source characteristics and load curve.

[0042] S400: monitoring the multiple waste heat recovery nodes by the heat energy monitoring sensor array to obtain multiple node monitoring data.

[0043] Specifically, the relevant data of each waste heat recovery node, such as temperature, flow, pressure, etc., is collected in real time through the laid heat energy monitoring sensor array. The multiple node monitoring data is collected periodically during the monitoring process, for example, every minute, every hour, etc. The specific period is set according to actual needs. The multiple node monitoring data is the actual operation data collected from each waste heat recovery node by the heat energy sensor, including temperature, heat flow, energy efficiency, etc., reflecting the actual working condition of each node.

[0044] S500: recovery efficiency evaluation is performed on the multiple node monitoring data, and the multiple waste heat recovery nodes are screened according to the recovery efficiency evaluation result to obtain multiple waste heat recovery energy-saving nodes.

[0045] Further, the present application S500 includes: Based on the multiple node monitoring data, multiple heat source input values and multiple heat source output values are determined. The ratio of the multiple heat source output values to the multiple heat source input values is calculated to obtain a recovery efficiency evaluation result. The first recovery efficiency evaluation result is extracted from the recovery efficiency evaluation result, and the first recovery efficiency evaluation result is compared with a preset recovery threshold value. If the first recovery efficiency evaluation result is greater than or equal to the preset recovery threshold value, the corresponding first waste heat recovery node is added to the multiple waste heat recovery energy-saving nodes. If the first recovery efficiency evaluation result is less than the preset recovery threshold value, the first recovery scheme of the corresponding first waste heat recovery node is adjusted, and the waste heat recovery scheme library is updated.

[0046] Specifically, the multiple heat source input values and the multiple heat source output values of the multiple heat recovery nodes are determined respectively from the multiple node monitoring data. The heat source input value is the amount of heat energy entering the heat recovery node, and the calculation formula is generally: heat source input = p x Q x C p x AT, wherein: p is the density of the fluid, Q is the flow rate of the fluid (unit: m 3 / s), Cp is the specific heat capacity of the fluid (unit: J / kg·℃), and AT is the temperature difference of the fluid (the temperature difference between the fluid entering and the fluid leaving the recovery system). The heat source output value is the heat source output value, and the calculation formula is generally: heat source output = p x Q output x C p x AT output , wherein Q output is the outlet flow rate (m 3 / s), and AT output is the outlet temperature difference (i.e., the difference between the outlet temperature and the inlet temperature of the recovery system).

[0047] The recovery efficiency evaluation results of the multiple heat recovery nodes are obtained by calculating the ratio of the heat source output value to the heat source input value. The recovery efficiency evaluation results of the multiple heat recovery nodes are traversed, and compared with the preset recovery threshold. If the recovery efficiency is greater than or equal to the preset threshold, it is considered that the recovery effect of the node is good, and the node is added to the energy-saving node list. If the recovery efficiency is lower than the threshold, the recovery scheme needs to be adjusted. For the nodes with low recovery efficiency, the recovery scheme is adjusted, including adjusting the flow rate or temperature parameters, increasing auxiliary heat sources, adjusting equipment configuration, etc. The waste heat recovery scheme library is updated, and the new adjustment scheme is recorded to ensure that the recovery efficiency of the system is improved. By calculating and evaluating the recovery efficiency of each recovery node, it is found in time which nodes have low recovery efficiency and which nodes have high recovery efficiency, and the scheme is adjusted in time, including optimizing the recovery path, increasing auxiliary heat sources, etc., to ensure that the recovery effect is always in the best state.

[0048] S600: Extracting multiple waste heat recovery schemes corresponding to the multiple waste heat recovery energy-saving nodes from the waste heat recovery scheme library, using a multi-objective optimization algorithm to optimize the multiple waste heat recovery schemes, generating multiple waste heat recovery optimization schemes, updating the waste heat recovery scheme library, and performing coal mine waste heat recovery management.

[0049] Further, the S600 of the present application comprises: A target function is determined based on carbon emission minimization and comprehensive energy efficiency maximization, wherein the comprehensive energy efficiency includes energy supply side energy efficiency, energy utilization side energy efficiency, and coal mine energy conversion system energy efficiency; a plurality of fitness scores are obtained by performing fitness evaluation on the plurality of waste heat recovery schemes through the target function; and the plurality of waste heat recovery schemes are optimized based on the plurality of fitness scores, and the energy supply side, the energy utilization side, and the coal mine energy conversion system are cooperatively regulated to generate the plurality of waste heat recovery optimization schemes.

[0050] Specifically, a plurality of waste heat recovery schemes corresponding to a plurality of screened waste heat recovery energy-saving nodes are extracted from a waste heat recovery scheme library. Carbon emission minimization is an environmental goal, which refers to reducing carbon emissions generated by the system during operation by optimizing waste heat recovery schemes. For example, by improving heat energy recovery efficiency, the dependence on fossil energy is reduced, thereby reducing carbon emissions. Comprehensive energy efficiency maximization refers to improving the energy efficiency of the entire coal mine system, specifically including: energy supply side energy efficiency for ensuring the efficiency maximization of energy supply systems (such as power supply, heat source supply); energy utilization side energy efficiency for ensuring that the use side (such as a mine, a production line, etc.) can efficiently utilize heat energy; and coal mine energy conversion system energy efficiency for the efficiency of various energy conversion processes within the coal mine, such as waste heat recovery, energy storage, etc.

[0051] According to the defined target function, fitness evaluation is performed on each recovery scheme. By evaluating the performance of each recovery scheme in terms of carbon emission minimization and comprehensive energy efficiency maximization, a fitness score is obtained. Based on the fitness score, an optimization algorithm (such as a genetic algorithm, a particle swarm algorithm, etc.) is used to optimize the plurality of recovery schemes, with the goal of improving the overall system energy efficiency and reducing carbon emissions. During the optimization process, the operation strategies of the energy supply side, the energy utilization side, and the coal mine energy conversion system are regulated. For example, according to the thermal energy demand of the coal mine and the recovery efficiency, the heat source distribution, energy storage strategies, etc. are dynamically adjusted to ensure optimal overall operation. The energy supply side adjusts the supply mode of the heat source, for example, by adjusting the proportion of green power and waste heat to optimize the heat source supply method; the energy utilization side optimizes the heat utilization scheduling of terminal equipment according to the load curve and actual demand to ensure that heat is provided when it is most needed; and the coal mine energy conversion system adjusts the heat conversion efficiency of each recovery node according to the optimization of the waste heat recovery path to ensure maximum recovery of available heat energy.

[0052] After completing the multi-scheme optimization and cooperative regulation, a plurality of optimal waste heat recovery optimization schemes are generated, which will provide the best energy utilization effect under different operating conditions, not only improving the overall system energy efficiency and reducing unnecessary carbon emissions, but also providing more flexible adjustment strategies for the coal mine energy conversion system. The optimized recovery schemes will be fed back to the waste heat recovery scheme library for subsequent operation. In actual operation, the schemes in the recovery scheme library can be dynamically adjusted and optimized according to actual conditions (such as demand fluctuations, equipment aging, etc.).

[0053] According to the multiple waste heat recovery optimization schemes, the waste heat recovery scheme library is updated, not only by adding new schemes, but also by optimizing existing schemes according to actual operation conditions. Through the updated waste heat recovery scheme library, the waste heat recovery management of the coal mine is carried out, and the waste heat recovery conditions of the coal mine are monitored in real time, including the working state, waste heat quantity, recovery efficiency and other key indicators of each recovery node. Through regular evaluation, it is determined whether the existing scheme is still suitable for the current operating conditions. According to the actual load demand, waste heat recovery capacity, external environmental changes and other factors of the coal mine, the most suitable recovery scheme is selected from the scheme library for execution. According to the combination of recovery path and optimization strategy, the best recovery scheme is determined. Since the operating state of the coal mine and the external environment (such as mine water temperature, power supply conditions, etc.) are dynamically changing, the recovery scheme needs to be adjusted according to real-time data. For example, if the heat source of a recovery node changes greatly, a recovery path that can operate more efficiently under such conditions may need to be selected from the scheme library.

[0054] By combining the fitness score and the multi-aspect synergistic regulation strategy, the best waste heat recovery scheme is found, and multiple optimization schemes are generated, and the waste heat recovery scheme library is updated. The coal mine system realizes more accurate and flexible waste heat recovery management, not only improves energy utilization, but also greatly reduces carbon emissions, promotes green and sustainable development, and thus improves the waste heat recovery efficiency of the coal mine.

[0055] In summary, the coal mine waste heat recovery management method provided by the present application has the following beneficial effects: By arranging a thermal energy monitoring sensor array in the target area, the coal mine energy conversion system is monitored to obtain a heat source data set; the heat source data set is evaluated to determine multiple waste heat recovery nodes; based on the heat source characteristic parameters of the multiple waste heat recovery nodes, a waste heat recovery scheme library is constructed in combination with the energy consumption side demand; the multiple waste heat recovery nodes are monitored by the thermal energy monitoring sensor array to obtain multiple node monitoring data; the multiple node monitoring data are evaluated for recovery efficiency, and the multiple waste heat recovery nodes are screened according to the recovery efficiency evaluation results to obtain multiple waste heat recovery energy-saving nodes; multiple waste heat recovery schemes corresponding to the multiple waste heat recovery energy-saving nodes are extracted from the waste heat recovery scheme library, a multi-objective optimization algorithm is used to optimize the multiple waste heat recovery schemes, multiple waste heat recovery optimization schemes are generated, and the waste heat recovery scheme library is updated for coal mine waste heat recovery management. That is, by collecting data from the coal mine energy conversion system, determining waste heat recovery nodes, and constructing a waste heat recovery scheme library, the recovery efficiency of the recovery nodes is evaluated, the waste heat recovery scheme library is optimized, and the coal mine waste heat recovery management is carried out, thereby improving the efficiency of the coal mine waste heat recovery.

[0056] Embodiment two, based on the same inventive concept as the coal mine waste heat recovery management method in the preceding embodiment one, the present application also provides a coal mine waste heat recovery management device, please refer to the attached Figure 2 , the coal mine waste heat recovery management device comprises: A data monitoring module 11 is configured to arrange a thermal energy monitoring sensor array in a target area, monitor a coal mine energy conversion system, and obtain a heat source data set; a heat source evaluation module 12 is configured to evaluate the heat source data set, determine a plurality of waste heat recovery nodes; a scheme construction module 13 is configured to construct a waste heat recovery scheme library based on heat source characteristic parameters of the plurality of waste heat recovery nodes and in combination with energy side demand; a node monitoring module 14 is configured to monitor the plurality of waste heat recovery nodes through the thermal energy monitoring sensor array and obtain a plurality of node monitoring data; an energy-saving node screening module 15 is configured to evaluate the recovery efficiency of the plurality of node monitoring data, screen the plurality of waste heat recovery nodes according to the recovery efficiency evaluation result, and obtain a plurality of waste heat recovery energy-saving nodes; a scheme optimization module 16 is configured to extract a plurality of waste heat recovery schemes corresponding to the plurality of waste heat recovery energy-saving nodes from the waste heat recovery scheme library, use a multi-objective optimization algorithm to optimize the plurality of waste heat recovery schemes, generate a plurality of waste heat recovery optimization schemes, update the waste heat recovery scheme library, and manage coal mine waste heat recovery.

[0057] Further, the data monitoring module 11 in the coal mine waste heat recovery management device is further configured to: The coal mine energy conversion system comprises a high-efficiency waste air heat utilization system, a mine water heat utilization system, an air compressor heat utilization system, a new low-temperature radiation heating system, and a heat storage cross-season energy storage system.

[0058] Further, the heat source evaluation module 12 in the coal mine waste heat recovery management device is further configured to: Preprocess the heat source data set to obtain a heat source standard data set; obtain the waste heat recovery demand of the target area, cluster the heat source standard data set, and obtain M waste heat recovery nodes, wherein M is a positive integer greater than or equal to 1; calculate the waste heat of the M waste heat recovery nodes, screen the waste heat recovery nodes with waste heat greater than or equal to a preset threshold, and obtain a plurality of waste heat recovery nodes.

[0059] Further, the scheme construction module 13 in the coal mine waste heat recovery management device is further configured to: According to the load demand analysis of the energy consumption side demand, an initial load curve of the energy consumption side is obtained; a temperature demand of a preset period is acquired, and the initial load curve of the energy consumption side is corrected to obtain a load curve of the energy consumption side; based on a standard temperature range of the plurality of waste heat recovery nodes, the heat source characteristic parameters and the load curve of the energy consumption side are matched, and a plurality of waste heat recovery paths of the plurality of waste heat recovery nodes are designed; based on the heat source characteristic parameters and the load curve of the energy consumption side, a recovery scheme is identified, and in combination with the plurality of waste heat recovery paths, a plurality of waste heat recovery schemes are generated and added to the waste heat recovery scheme library.

[0060] Further, the scheme construction module 13 in the coal mine waste heat recovery management device is further used for: A heat source control scheme identifier is pre-constructed, the heat source characteristic parameters and the load curve of the energy consumption side are identified by using the heat source control scheme identifier, and a target recovery scheme is obtained.

[0061] Further, the energy-saving node screening module 15 in the coal mine waste heat recovery management device is further used for: Based on the plurality of node monitoring data, a plurality of heat source input values and a plurality of heat source output values are determined; a ratio of the plurality of heat source output values to the plurality of heat source input values is calculated to obtain a recovery efficiency evaluation result; the recovery efficiency evaluation result is traversed, a first recovery efficiency evaluation result is extracted from the recovery efficiency evaluation result, and the first recovery efficiency evaluation result is compared with a preset recovery threshold value; if the first recovery efficiency evaluation result is greater than or equal to the preset recovery threshold value, a corresponding first waste heat recovery node is added to the plurality of waste heat recovery energy-saving nodes; if the first recovery efficiency evaluation result is less than the preset recovery threshold value, a first recovery scheme of the corresponding first waste heat recovery node is adjusted, and the waste heat recovery scheme library is updated.

[0062] Further, the scheme optimization module 16 in the coal mine waste heat recovery management device is further used for: Based on carbon emission minimization and comprehensive energy efficiency maximization, a target function is determined, wherein the comprehensive energy efficiency includes energy supply side energy efficiency, energy consumption side energy efficiency and coal mine energy conversion system energy efficiency; the plurality of waste heat recovery schemes are evaluated by using the target function to obtain a plurality of fitness scores; based on the plurality of fitness scores, the plurality of waste heat recovery schemes are optimized, the energy supply side, the energy consumption side and the coal mine energy conversion system are cooperatively controlled, and the plurality of waste heat recovery optimization schemes are generated.

[0063] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments. Figure 1The coal mine waste heat recovery management method and the specific examples in the embodiment one are also applicable to the coal mine waste heat recovery management device in the embodiment, and through the foregoing detailed description of the coal mine waste heat recovery management method, the coal mine waste heat recovery management device in the embodiment can be clearly known by those skilled in the art, so as to avoid the description of the coal mine waste heat recovery management device in the embodiment.

[0064] The above description of disclosed embodiments enables one skilled in the art to make or use the application. Numerous modifications to these embodiments would be apparent to those skilled in the art, and the general principles defined herein can be applied to other embodiments without departing from the spirit or scope of the application. Therefore, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0065] Obviously, for those skilled in the art, some improvements and modifications can be made to the present application without departing from the principles of the present application, and these improvements and modifications also fall within the protection scope of the present application.

Claims

1. A method of managing the recovery of waste heat from a coal mine, characterised in that, The method comprises the following steps: deploying a thermal energy monitoring sensor array in a target area to monitor a coal mine energy conversion system and obtain a heat source data set; performing heat source evaluation on the heat source data set to determine a plurality of waste heat recovery nodes; constructing a waste heat recovery scheme library based on the heat source characteristic parameters of the plurality of waste heat recovery nodes and combining energy consumption side requirements; monitoring the plurality of waste heat recovery nodes through the thermal energy monitoring sensor array to obtain a plurality of node monitoring data; performing recovery efficiency evaluation on the plurality of node monitoring data, screening the plurality of waste heat recovery nodes according to the recovery efficiency evaluation result, and obtaining a plurality of waste heat recovery energy-saving nodes; extracting a plurality of waste heat recovery schemes corresponding to the plurality of waste heat recovery energy-saving nodes from the waste heat recovery scheme library, using a multi-objective optimization algorithm to optimize the plurality of waste heat recovery schemes, generating a plurality of waste heat recovery optimization schemes, updating the waste heat recovery scheme library, and performing coal mine waste heat recovery management.

2. The coal mine waste heat recovery management method of claim 1, wherein, The coal mine energy conversion system comprises a high-efficiency waste air waste heat utilization system, a mine water waste heat utilization system, an air compressor waste heat utilization system, a new low-temperature radiation heating system, and a heat storage seasonal energy storage system.

3. The coal mine waste heat recovery management method of claim 1, wherein, The method comprises the following steps: performing data preprocessing on the heat source data set to obtain a heat source standard data set; obtaining waste heat recovery requirements of the target area, clustering the heat source standard data set, and obtaining M waste heat recovery nodes, wherein M is a positive integer greater than or equal to 1; calculating the waste heat amount of the M waste heat recovery nodes, screening waste heat recovery nodes with a waste heat amount greater than or equal to a preset threshold, and obtaining a plurality of waste heat recovery nodes.

4. The coal mine waste heat recovery management method of claim 1, wherein, Based on the heat source characteristic parameters of the plurality of waste heat recovery nodes and combining energy consumption side requirements, the waste heat recovery scheme library is constructed, which comprises the following steps: performing load demand analysis according to the energy consumption side requirements to obtain an energy consumption side initial load curve; obtaining temperature requirements of a preset period, correcting the energy consumption side initial load curve to obtain an energy consumption side load curve; based on the standard temperature range of the plurality of waste heat recovery nodes, matching the heat source characteristic parameters and the energy consumption side load curve, and designing a plurality of waste heat recovery paths of the plurality of waste heat recovery nodes; based on the heat source characteristic parameters, the energy consumption side load curve, and combining the plurality of waste heat recovery paths, a plurality of waste heat recovery schemes are generated and added to the waste heat recovery scheme library.

5. The coal mine waste heat recovery management method of claim 4, wherein, A pre-constructed heat source control scheme identifier is used to identify the heat source characteristic parameters and the energy consumption side load curve to obtain a target recovery scheme.

6. The coal mine waste heat recovery management method of claim 5, wherein, The method comprises the following steps: based on the plurality of node monitoring data, determining a plurality of heat source input values and a plurality of heat source output values; calculating the ratio of the plurality of heat source output values and the plurality of heat source input values to obtain a recovery efficiency evaluation result; Traverse the recovery efficiency evaluation result, extract a first recovery efficiency evaluation result from the recovery efficiency evaluation result, and compare the first recovery efficiency evaluation result with a preset recovery threshold value; If the first recovery efficiency evaluation result is greater than or equal to the preset recovery threshold value, a corresponding first waste heat recovery node is added to the plurality of waste heat recovery energy-saving nodes; If the first recovery efficiency evaluation result is less than the preset recovery threshold value, the first recovery scheme of the corresponding first waste heat recovery node is adjusted, and the waste heat recovery scheme library is updated.

7. The coal mine waste heat recovery management method of claim 1, wherein, A multi-objective optimization algorithm is used to optimize the plurality of waste heat recovery schemes, and a plurality of waste heat recovery optimization schemes are generated, including: Based on carbon emission minimization and comprehensive energy efficiency maximization, a target function is determined, wherein the comprehensive energy efficiency includes energy supply side energy efficiency, energy consumption side energy efficiency, and coal mine energy conversion system energy efficiency; The plurality of waste heat recovery schemes are evaluated by the target function, and a plurality of fitness scores are obtained; Based on the plurality of fitness scores, the plurality of waste heat recovery schemes are optimized, and the energy supply side, the energy consumption side, and the coal mine energy conversion system are cooperatively controlled to generate the plurality of waste heat recovery optimization schemes.

8. A coal mine waste heat recovery management device, characterized by, The coal mine waste heat recovery management device for implementing the steps of the coal mine waste heat recovery management method of any one of claims 1 to 7 includes: A data monitoring module for arranging a thermal energy monitoring sensor array in a target area, monitoring a coal mine energy conversion system, and obtaining a heat source data set; A heat source evaluation module for evaluating the heat source data set to determine a plurality of waste heat recovery nodes; A scheme construction module for constructing a waste heat recovery scheme library based on heat source characteristic parameters of the plurality of waste heat recovery nodes and combining energy consumption side requirements; A node monitoring module for monitoring the plurality of waste heat recovery nodes through the thermal energy monitoring sensor array to obtain a plurality of node monitoring data; An energy-saving node screening module for evaluating the recovery efficiency of the plurality of node monitoring data, screening the plurality of waste heat recovery nodes according to the recovery efficiency evaluation result, and obtaining a plurality of waste heat recovery energy-saving nodes; A scheme optimization module for extracting a plurality of waste heat recovery schemes corresponding to the plurality of waste heat recovery energy-saving nodes from the waste heat recovery scheme library, optimizing the plurality of waste heat recovery schemes using a multi-objective optimization algorithm, generating a plurality of waste heat recovery optimization schemes, updating the waste heat recovery scheme library, and managing coal mine waste heat recovery.

Images