A compressor heat recovery system

Abstract

The present invention relates to the technical field of heat recovery, and specifically discloses a compressor heat recovery system, including: a recovery rate determination module, used to determine the heat recovery rate based on the current operating condition parameters of the compressor; a consumption rate acquisition module, used to obtain the heat consumption rate of the current heat consumption device; a heat exchange strategy determination module, used to determine the optimal heat exchange strategy based on the heat recovery rate and the heat consumption rate and the preset heat exchange loss calculation method of each heat exchange method, wherein the optimal heat exchange strategy includes: heat exchange method and heat exchange area and fluid flow of heat exchange medium; to provide clear guidance for the actual operation and control of the system, ensuring efficient and stable operation of the system. It helps to reduce energy consumption, save costs, reduce thermal pollution to the environment, and achieve sustainable development.

Description

Technical Field

[0001] The invention relates to the technical field of heat recovery, and in particular to a compressor heat recovery system. Background Art

[0002] At present, compressors are widely used in various systems in the fields of industrial production and energy utilization. Compressors generate a lot of heat energy during operation. If this heat energy can be effectively recovered and utilized, it will greatly improve the energy utilization rate and reduce energy consumption and costs. At present, some compressor heat recovery systems have been put into use. They collect the heat energy generated by the compressor in various ways and transfer it to the device or system that needs heat energy.

[0003] However, the existing compressor heat recovery system often cannot accurately determine the heat recovery rate based on the current operating parameters of the compressor, resulting in uncertain recovery effects. This affects the energy balance and optimization of the entire system. It is impossible to comprehensively consider factors such as recovery rate, consumption rate, and heat exchange mode loss to determine the best heat exchange strategy. As a result, the heat recovery effect cannot be guaranteed.

[0004] Therefore, the present invention proposes a compressor heat energy recovery system. Summary of the invention

[0005] The present invention provides a compressor heat recovery system, which adopts a recovery rate determination module to determine the heat recovery rate of the compressor, thereby providing basic data for system optimization, and is helpful to fully tap the heat recovery potential of the compressor. A consumption rate acquisition module is adopted to obtain the heat consumption rate of the heat consumption device, so that the system can comprehensively consider the supply and demand of heat energy and achieve more accurate energy management. A heat exchange strategy determination module is adopted to comprehensively consider the recovery rate, consumption rate and heat exchange loss to determine the optimal heat exchange strategy, thereby improving the overall rate of energy utilization. The determined optimal heat exchange strategy includes detailed parameters such as heat exchange mode, area and medium flow rate, which provides clear guidance for the actual operation and control of the system, and ensures efficient and stable operation of the system. It helps to reduce energy consumption, save costs, and reduce thermal pollution to the environment.

[0006] The present invention provides a compressor heat energy recovery system, comprising:

[0007] A recovery rate determination module, used to determine a heat energy recovery rate based on current operating condition parameters of the compressor;

[0008] A consumption rate acquisition module is used to acquire the heat energy consumption rate of the current heat energy consumption device;

[0009] The heat exchange strategy determination module is used to determine the optimal heat exchange strategy based on the heat recovery rate and the heat consumption rate and the preset heat exchange loss calculation method of each heat exchange method, wherein the optimal heat exchange strategy includes: the heat exchange method and the heat exchange area and the fluid flow of the heat exchange medium.

[0010] Preferably, the compressor heat recovery system, the recovery rate determination module, comprises:

[0011] The working condition data analysis submodule is used to determine the actual exhaust flow value and the actual exhaust temperature value of the compressor in a historical period with the current moment as the end moment based on the current operating condition parameters of the compressor;

[0012] The recovery rate determination submodule is used to determine the heat energy recovery rate based on the actual exhaust flow value and the actual exhaust temperature value of the compressor in a historical period with the current moment as the end moment.

[0013] Preferably, the compressor heat recovery system, the operating data analysis submodule includes:

[0014] The theoretical exhaust parameter determination unit is used to determine the theoretical exhaust flow value and the theoretical exhaust temperature value of the compressor under the current operating condition parameters based on the current operating condition parameters of the compressor;

[0015] An exhaust parameter detection unit, used to obtain exhaust flow detection data and exhaust temperature detection data of the exhaust port position of the compressor within a historical period with the current moment as the end moment based on an intelligent sensor;

[0016] The exhaust parameter periodic calibration unit is used to determine the actual exhaust flow value and actual exhaust temperature value of the compressor in a historical period with the current moment as the end time based on the theoretical exhaust flow value and theoretical exhaust temperature value of the compressor under the current operating parameters and the exhaust flow detection data and exhaust temperature detection data of the compressor exhaust port position in a historical period with the current moment as the end time.

[0017] Preferably, the compressor heat recovery system, the theoretical exhaust parameter determination unit, comprises:

[0018] A mathematical relationship model establishment subunit is used to establish a mathematical relationship model between the compressor operating condition parameters and the exhaust flow rate, and a mathematical relationship model between the compressor operating condition parameters and the exhaust temperature;

[0019] The theoretical exhaust parameter determination subunit is used to input the current operating condition parameters of the compressor into the mathematical relationship model between the compressor operating condition parameters and the exhaust flow rate and the mathematical relationship model between the compressor operating condition parameters and the exhaust temperature, respectively, to obtain the theoretical exhaust flow value and theoretical exhaust temperature value of the compressor under the current operating condition parameters.

[0020] Preferably, the compressor heat recovery system, the exhaust parameter periodic calibration unit, comprises:

[0021] A data decomposition subunit, for determining the exhaust flow detection value and exhaust temperature detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end time based on the exhaust flow detection data and exhaust temperature detection data of the compressor exhaust port position in the historical period with the current moment as the end time;

[0022] The deviation calculation subunit is used to calculate the deviation between the exhaust flow detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end moment and the theoretical exhaust flow value of the compressor under the current operating condition parameters, and at the same time, calculate the deviation between the exhaust temperature detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end moment and the theoretical exhaust temperature value of the compressor under the current operating condition parameters;

[0023] an abnormal detection value screening subunit, used to treat the exhaust flow detection value and the exhaust temperature detection value whose deviation is greater than the deviation threshold as the exhaust flow abnormal detection value and the exhaust temperature abnormal detection value respectively;

[0024] The data integration subunit is used to determine the actual exhaust flow value and actual exhaust temperature value of the compressor in the historical period with the current moment as the end time based on the theoretical exhaust flow value and theoretical exhaust temperature value of the compressor under the current operating parameters, the exhaust flow detection data and exhaust temperature detection data of the compressor exhaust port position in the historical period with the current moment as the end time, all exhaust flow abnormality detection values ​​and all exhaust temperature abnormality detection values.

[0025] Preferably, the compressor heat recovery system, data integration subunit, comprises:

[0026] A first abnormal detection value correction terminal is used to correct all the exhaust flow abnormal detection values ​​based on all the exhaust flow detection values ​​remaining in the exhaust flow detection data of the compressor exhaust port position in the historical period with the current moment as the end time, except for all the exhaust flow abnormal detection values, to obtain the effective exhaust flow detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end time;

[0027] The second abnormal detection value correction terminal is used to correct all the abnormal exhaust temperature detection values ​​based on all the remaining exhaust temperature detection values ​​in the exhaust temperature detection data of the compressor exhaust port position in the historical period with the current moment as the end time, except for all the abnormal exhaust temperature detection values, to obtain the effective exhaust temperature detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end time;

[0028] The numerical integration end is used to determine the actual exhaust flow value and actual exhaust temperature value of the compressor in the historical period with the current moment as the end moment based on the effective detection value of the exhaust flow rate and the effective detection value of the exhaust temperature at all moments in the historical period with the current moment as the end moment, and the theoretical exhaust flow rate and the theoretical exhaust temperature value of the compressor under the current operating parameters.

[0029] Preferably, the compressor heat recovery system, the first abnormal detection value correction end, comprises:

[0030] A reference value determination sub-terminal, used to determine two reference exhaust flow detection values ​​for each exhaust flow abnormality detection value from exhaust flow detection data at the compressor exhaust port position within a historical period with the current moment as the end moment;

[0031] The numerical correction end is used to determine the effective exhaust flow detection value at the corresponding moment based on the two reference exhaust flow detection values ​​of each exhaust flow abnormality detection value, and to use each exhaust temperature detection value remaining except all exhaust temperature abnormality detection values ​​in the exhaust temperature detection data of the compressor exhaust port position within the historical period with the current moment as the end moment as the effective exhaust flow detection value at the corresponding moment.

[0032] Preferably, the compressor heat recovery system, the numerical integration end, comprises:

[0033] A first calculation sub-end is used to fit the exhaust flow effective detection function and the exhaust temperature effective detection function in the historical period with the current moment as the end time, based on the exhaust flow effective detection value and the exhaust temperature effective detection value of the compressor exhaust port position at all times in the historical period with the current moment as the end time, respectively, and calculate the function integral value of the exhaust flow effective detection function in the historical period with the current moment as the end time as the first integral value, and at the same time, calculate the function integral value of the exhaust temperature effective detection function in the historical period with the current moment as the end time as the second integral value;

[0034] The second calculation sub-terminal is used to calculate the function integral value of the constant function whose function value is equal to the theoretical exhaust flow value of the compressor under the current operating condition parameters in the historical period with the current moment as the end moment, as the third integral value, and at the same time, calculate the function integral value of the constant function whose function value is equal to the theoretical exhaust temperature value of the compressor under the current operating condition parameters in the historical period with the current moment as the end moment, as the fourth integral value;

[0035] The third calculation sub-terminal is used to determine the actual exhaust flow value and the actual exhaust temperature value of the compressor in the historical period with the current moment as the end moment based on the first integral value, the second integral value, the third integral value and the fourth integral value.

[0036] Preferably, in the compressor heat recovery system, the method in which the third calculation sub-end determines the actual exhaust flow value and the actual exhaust temperature value of the compressor in a historical period with the current moment as the end moment based on the first integral value, the second integral value, the third integral value and the fourth integral value includes:

[0037] The ratio of the average of the first integral value and the third integral value to the duration of the historical cycle is regarded as the actual exhaust flow value of the compressor during the historical cycle with the current moment as the end moment, and the ratio of the average of the second integral value and the fourth integral value to the duration of the historical cycle is regarded as the actual exhaust temperature value of the compressor during the historical cycle with the current moment as the end moment.

[0038] Preferably, the compressor heat recovery system, the heat exchange strategy determination module, comprises:

[0039] The model building submodule is used to build a heat energy exchange strategy determination model;

[0040] The strategy determination submodule is used to input the heat energy recovery rate and the heat energy consumption rate as well as the preset heat exchange loss calculation method of each heat exchange method into the heat exchange strategy determination model to obtain the optimal heat energy exchange strategy, wherein the optimal heat energy exchange strategy includes: the heat exchange method and the heat exchange area as well as the fluid flow rate of the heat exchange medium.

[0041] The beneficial effects of the present invention compared to the prior art are as follows: the recovery rate determination module is used to determine the heat recovery rate of the compressor, thereby providing basic data for system optimization, which helps to fully tap the heat recovery potential of the compressor. The consumption rate acquisition module is used to obtain the heat consumption rate of the heat consumption device, so that the system can comprehensively consider the supply and demand of heat energy and achieve more accurate energy management. The heat exchange strategy determination module is used to comprehensively consider the recovery rate, consumption rate and heat exchange loss to determine the optimal heat exchange strategy, thereby improving the overall rate of energy utilization. The determined optimal heat exchange strategy includes detailed parameters such as heat exchange mode, area and medium flow rate, which provides clear guidance for the actual operation and control of the system, ensuring efficient and stable operation of the system. It helps to reduce energy consumption, save costs, and reduce thermal pollution to the environment.

[0042] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0043] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0045] Figure 1 is a schematic diagram of a compressor heat energy recovery system in an embodiment of the present invention;

[0046] Figure 2 is a schematic diagram of a recovery rate determination module in an embodiment of the present invention;

[0047] Figure 3 Schematic diagram of a heat exchange strategy determination module in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0049] Embodiment 1:

[0050] The present invention provides a compressor heat recovery system, referring to Figure 1 ,include:

[0051] A recovery rate determination module, used to determine a heat energy recovery rate based on current operating condition parameters of the compressor;

[0052] A consumption rate acquisition module is used to acquire the heat energy consumption rate of the current heat energy consumption device;

[0053] The heat exchange strategy determination module is used to determine the optimal heat exchange strategy based on the heat recovery rate and the heat consumption rate and the preset heat exchange loss calculation method of each heat exchange method, wherein the optimal heat exchange strategy includes: the heat exchange method and the heat exchange area and the fluid flow of the heat exchange medium.

[0054] In this embodiment, the current operating condition parameters of the compressor: in the compressor heat recovery system, refers to various relevant parameters of the compressor when it is currently working, such as the speed, pressure, temperature, power, etc. of the compressor. For example, for a running compressor, its current operating condition parameters may be a speed of 1500 rpm, a pressure of 5 MPa, and a temperature of 80 degrees Celsius.

[0055] In this embodiment, the heat recovery rate refers to the amount of heat energy that can be recovered from the compressor in a unit time. For example, if 50 joules of heat energy are recovered from the running compressor in one minute, then the heat recovery rate at this time is 50 joules / minute. It is used to measure the speed and efficiency of heat recovery.

[0056] In this embodiment, the current heat energy consuming device refers to a device that uses recovered heat energy in the current system, such as a water heater, a heating device, and the like.

[0057] In this embodiment, the heat energy consumption rate refers to the speed at which the current heat energy consumption device consumes heat energy per unit time. For example, if a heat energy consumption device consumes 1000 joules of heat energy in one hour, then its heat energy consumption rate is 1000 joules / hour. It reflects the speed at which the heat energy consumption device utilizes the recovered heat energy.

[0058] In this embodiment, the heat exchange method refers to the specific form of heat transfer and exchange achieved by the heat exchanger in the heat recovery system, such as direct contact heat exchange, partition heat exchange, etc. For example, heat transfer through a metal partition is partition heat exchange.

[0059] In this embodiment, the preset heat exchange loss calculation method for each heat exchange method is a method or formula pre-set for calculating energy loss during the heat exchange process for different heat exchange methods. For example: for direct contact heat exchange, the heat exchange loss may be calculated based on factors such as contact area and temperature difference.

[0060] In this embodiment, the optimal heat exchange strategy is the most optimized heat exchange solution determined after comprehensive consideration of various factors, including the selection of heat exchange method, heat exchange area, and heat exchange medium fluid flow rate, etc. For example: it is finally determined to adopt a partition heat exchange method, a heat exchange area of ​​10 square meters, and a heat exchange medium fluid flow rate of 5 liters per minute. This whole set of solutions is the optimal heat exchange strategy.

[0061] The compressor heat recovery system in this embodiment has two application scenarios:

[0062] The first is that the heat energy consumption rate of the current heat energy consuming device can be calculated based on the current operating condition parameters of the compressor without installing the heat exchanger. At the same time, the heat energy consumption rate of the current heat energy consuming device is determined based on the speed at which the current heat energy consuming device consumes heat energy per unit time. The values ​​of these two parameters have nothing to do with whether the heat exchanger is connected. On this basis, the heat exchanger or heat exchange device corresponding to the optimal heat exchange strategy is further selected and connected between the compressor and the current heat exchange consuming device to improve the overall resource utilization rate; further, when the heat exchanger or heat exchange device is connected, the setting of the heat exchange mode, heat exchange area and heat exchange medium flow rate described in this embodiment can be considered;

[0063] The second method is to calculate the heat energy consumption rate of the current heat energy consuming device based on the current operating condition parameters of the compressor under the premise of installing the heat exchanger. At the same time, the heat energy consumption rate of the current heat energy consuming device is determined by the speed at which the current heat energy consuming device consumes heat energy per unit time. The values ​​of these two parameters have nothing to do with whether the heat exchanger is connected. On this basis, the heat exchange process layout and flow channel structure can be adjusted by adjusting devices such as valves or baffles to achieve adjustment of the heat exchange mode;

[0064] For a heat exchanger that has been finalized, its actual heat exchange area is difficult to change directly, but it can be adjusted indirectly by changing the proportion of the effective area involved in heat exchange. For example, if there are multiple heat exchange channels or heat exchange areas inside the heat exchanger, the flow distribution of the heat exchange medium in different channels or areas can be controlled by adjusting devices such as valves or baffles, so that more media flows through areas with higher heat exchange efficiency, thereby improving the utilization rate of the effective heat exchange area and achieving an effect similar to changing the heat exchange area.

[0065] Secondly, install flow regulating devices on the heat exchange medium inlet and outlet pipes of the heat exchanger, such as regulating valves, variable frequency pumps, etc. By adjusting the working parameters of these devices, such as the opening of the regulating valve, the frequency of the variable frequency pump, etc., the flow of the heat exchange medium can be changed;

[0066] Through the above methods, when the heat exchanger has been finalized, the heat exchange method, heat exchange area (indirect) and heat exchange medium flow rate are adjusted according to the determined optimal heat exchange strategy, thereby improving the performance and energy utilization efficiency of the compressor heat recovery system.

[0067] The beneficial effects of the above technologies are as follows: the recovery rate determination module is used to determine the heat recovery rate of the compressor, which provides basic data for system optimization and helps to fully tap the heat recovery potential of the compressor. The consumption rate acquisition module is used to obtain the heat consumption rate of the heat consumption device, so that the system can fully consider the supply and demand of heat energy and achieve more accurate energy management. The heat exchange strategy determination module is used to comprehensively consider the recovery rate, consumption rate and heat exchange loss to determine the optimal heat exchange strategy, thereby improving the overall rate of energy utilization. The determined optimal heat exchange strategy includes detailed parameters such as heat exchange method, area and medium flow rate, which provides clear guidance for the actual operation and control of the system and ensures efficient and stable operation of the system. It helps to reduce energy consumption, save costs, and reduce thermal pollution to the environment.

[0068] Embodiment 2:

[0069] Based on Example 1, the compressor heat recovery system, the recovery rate determination module, refer to Figure 2 ,include:

[0070] The working condition data analysis submodule is used to determine the actual exhaust flow value and the actual exhaust temperature value of the compressor in a historical period with the current moment as the end moment based on the current operating condition parameters of the compressor;

[0071] The recovery rate determination submodule is used to determine the heat energy recovery rate based on the actual exhaust flow value and the actual exhaust temperature value of the compressor in a historical period with the current moment as the end moment.

[0072] In this embodiment, the historical period refers to a specific time range starting from the current time and going back to the past. For example, if the historical period is set to be the past hour, then it is the period of time going back one hour from the current time.

[0073] In this embodiment, the actual exhaust flow value refers to the flow rate of the gas actually discharged by the compressor during the exhaust process in a specific historical period. Assume that in the historical period of the past 30 minutes, the actual flow rate of the gas discharged by the compressor is 10 cubic meters per minute.

[0074] In this embodiment, the actual exhaust temperature value is the actual temperature of the exhaust gas of the compressor during a specific historical period when the compressor is exhausting. For example, in the historical period of the past 2 hours, the actual temperature of the exhaust gas of the compressor is 120 degrees Celsius.

[0075] In this embodiment, the heat recovery rate is determined based on the actual exhaust flow value and actual exhaust temperature value of the compressor in the historical period ending at the current moment: this means that the actual flow size and actual temperature of the gas discharged by the compressor from a certain period of time in the past (i.e., the historical period) to the current moment are used as the basis, and the speed of heat recovery during this period, i.e., the heat recovery rate, is obtained through a specific calculation method or model. For example: For example, if the historical period is set to the past 30 minutes, the actual exhaust flow value of the compressor measured in these 30 minutes is 10 cubic meters per minute, and the actual exhaust temperature is 150 degrees Celsius. Through the existing corresponding calculation formulas and parameters, the heat recovery rate within these 30 minutes can be determined.

[0076] The beneficial effects of the above technologies are as follows: the operating data analysis submodule can accurately analyze key parameters such as the actual exhaust flow value and temperature value of the compressor, providing an accurate data basis for the subsequent determination of the recovery rate. By determining the relevant parameters within the historical period, the dynamic changes in the operation of the compressor are taken into account, making the evaluation of the recovery rate more timely and reliable. The recovery rate determination submodule determines the heat recovery rate based on these detailed operating data, which improves the accuracy of the rate calculation. It helps to more accurately understand the heat recovery of the compressor at different operating stages and provide strong support for optimizing system performance. It can provide more valuable input for the subsequent determination of the optimal heat exchange strategy, thereby achieving more efficient heat recovery and utilization.

[0077] Embodiment 3:

[0078] Based on Example 2, the compressor heat recovery system, the operating data analysis submodule includes:

[0079] The theoretical exhaust parameter determination unit is used to determine the theoretical exhaust flow value and the theoretical exhaust temperature value of the compressor under the current operating condition parameters based on the current operating condition parameters of the compressor;

[0080] An exhaust parameter detection unit, used to obtain exhaust flow detection data and exhaust temperature detection data of the exhaust port position of the compressor within a historical period with the current moment as the end moment based on an intelligent sensor;

[0081] The exhaust parameter periodic calibration unit is used to determine the actual exhaust flow value and actual exhaust temperature value of the compressor in a historical period with the current moment as the end time based on the theoretical exhaust flow value and theoretical exhaust temperature value of the compressor under the current operating parameters and the exhaust flow detection data and exhaust temperature detection data of the compressor exhaust port position in a historical period with the current moment as the end time.

[0082] In this embodiment, the theoretical exhaust flow rate value and theoretical exhaust temperature value of the compressor under the current operating parameters: in this compressor heat recovery system, it refers to the expected values ​​of the compressor exhaust flow rate and exhaust temperature obtained through theoretical calculation or model prediction based on the current operating parameters of the compressor. For example: if the current operating parameters of the compressor are pressure 5MPa and speed 1000rpm, the corresponding theoretical exhaust flow rate value calculated by the theoretical model may be 20 cubic meters per minute, and the theoretical exhaust temperature value may be 120 degrees Celsius.

[0083] In this embodiment, the exhaust flow detection data is the actual measurement data of the exhaust flow detected by the intelligent sensor at the position of the compressor exhaust port in a specific time period (a historical period with the current time as the end time). For example: in the historical period of the past 1 hour, the intelligent sensor detects the exhaust flow every 5 minutes, and obtains a series of data such as 18 cubic meters / minute, 22 cubic meters / minute, etc. These are the exhaust flow detection data.

[0084] In this embodiment, the exhaust temperature detection data refers to the actual measurement value obtained by detecting the exhaust temperature at the exhaust port of the compressor using the intelligent sensor in the same historical period. For example, in the above-mentioned 1-hour historical period, the temperature values ​​such as 110 degrees Celsius and 115 degrees Celsius obtained by the same interval detection constitute the exhaust temperature detection data.

[0085] The beneficial effects of the above technologies are as follows: the theoretical exhaust parameter determination unit determines the theoretical exhaust flow value and temperature value through the current operating condition parameters, which provides a benchmark for subsequent calibration and helps to improve the accuracy of calibration. The exhaust parameter detection unit uses intelligent sensors to obtain detection data, and can collect the actual operating parameters of the exhaust port in real time and accurately, ensuring the timeliness and reliability of the data. The exhaust parameter periodic calibration unit combines theoretical values ​​and detection values ​​to determine the actual exhaust parameters, which improves the accuracy of the parameters and makes the system's understanding of the compressor exhaust conditions more real and accurate. It helps to more accurately evaluate the heat generation of the compressor and provide a reliable basis for the subsequent calculation of the heat recovery rate and the determination of the optimal exchange strategy. It can promptly detect abnormal conditions in the operation of the compressor, provide strong support for the maintenance and optimization of the equipment, and ensure the stable operation of the system and efficient heat recovery.

[0086] Embodiment 4:

[0087] Based on Example 3, the compressor heat recovery system, the theoretical exhaust parameter determination unit, includes:

[0088] A mathematical relationship model establishment subunit is used to establish a mathematical relationship model between the compressor operating condition parameters and the exhaust flow rate, and a mathematical relationship model between the compressor operating condition parameters and the exhaust temperature;

[0089] The theoretical exhaust parameter determination subunit is used to input the current operating condition parameters of the compressor into the mathematical relationship model between the compressor operating condition parameters and the exhaust flow rate and the mathematical relationship model between the compressor operating condition parameters and the exhaust temperature, respectively, to obtain the theoretical exhaust flow value and theoretical exhaust temperature value of the compressor under the current operating condition parameters.

[0090] In this embodiment, a mathematical relationship model between the compressor operating condition parameters and the exhaust flow rate, and a mathematical relationship model between the compressor operating condition parameters and the exhaust temperature are established: this means that by collecting and analyzing a large amount of compressor operating data, using mathematical methods and statistical principles, the inherent law between the compressor operating condition parameters (such as pressure, speed, power, etc.) and the exhaust flow rate and exhaust temperature is found, and this law is expressed in a mathematical expression or equation. For example: the mathematical relationship model that may be established is in the form of "exhaust flow rate = f (pressure, speed)" and "exhaust temperature = g (pressure, speed, power)", where f and g are specific function forms determined by data analysis.

[0091] The beneficial effects of the above technology are as follows: The mathematical relationship model established by the mathematical relationship model establishment subunit provides a scientific method and tool for accurately calculating the theoretical exhaust parameters. The theoretical exhaust parameter determination subunit obtains the theoretical value by inputting the current operating condition parameters into the model, thereby improving the calculation rate and accuracy. It helps to quickly and accurately predict the theoretical exhaust conditions of the compressor under different operating conditions, and provides a reliable theoretical basis for subsequent analysis and decision-making. It can provide strong support for the optimal design and operation adjustment of the system, and improve the adaptability and stability of the system. It enables the system to evaluate the performance of the compressor more intelligently, laying the foundation for achieving efficient heat recovery.

[0092] Embodiment 5:

[0093] Based on Example 3, the compressor heat recovery system and the exhaust parameter periodic calibration unit include:

[0094] A data decomposition subunit, for determining the exhaust flow detection value and exhaust temperature detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end time based on the exhaust flow detection data and exhaust temperature detection data of the compressor exhaust port position in the historical period with the current moment as the end time;

[0095] The deviation calculation subunit is used to calculate the deviation between the exhaust flow detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end moment and the theoretical exhaust flow value of the compressor under the current operating condition parameters, and at the same time, calculate the deviation between the exhaust temperature detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end moment and the theoretical exhaust temperature value of the compressor under the current operating condition parameters;

[0096] an abnormal detection value screening subunit, used to treat the exhaust flow detection value and the exhaust temperature detection value whose deviation is greater than the deviation threshold as the exhaust flow abnormal detection value and the exhaust temperature abnormal detection value respectively;

[0097] The data integration subunit is used to determine the actual exhaust flow value and actual exhaust temperature value of the compressor in the historical period with the current moment as the end time based on the theoretical exhaust flow value and theoretical exhaust temperature value of the compressor under the current operating parameters, the exhaust flow detection data and exhaust temperature detection data of the compressor exhaust port position in the historical period with the current moment as the end time, all exhaust flow abnormality detection values ​​and all exhaust temperature abnormality detection values.

[0098] In this embodiment, the deviation between the exhaust flow detection value at each moment of the compressor exhaust port position in the historical period with the current moment as the end moment and the theoretical exhaust flow value of the compressor under the current operating condition parameters is calculated. At the same time, the deviation between the exhaust temperature detection value at each moment of the compressor exhaust port position in the historical period with the current moment as the end moment and the theoretical exhaust temperature value of the compressor under the current operating condition parameters is calculated: This means that for each time point in the historical period, the difference between the actual detection value of the exhaust flow and the theoretical exhaust flow value obtained according to the current operating condition parameters, as well as the difference between the actual detection value of the exhaust temperature and the theoretical exhaust temperature value are calculated. Through this calculation, the deviation between the actual detection value and the theoretical value can be understood. Assuming that the exhaust flow detection value at a certain moment is 10 cubic meters / minute, the theoretical exhaust flow value is 8 cubic meters / minute, and the difference between the two is 2 cubic meters / minute, if the theoretical value is used as the benchmark, the deviation may be 25%.

[0099] In this embodiment, the deviation threshold is a pre-set standard value used to determine whether the deviation is too large. If the calculated deviation exceeds this threshold, it is considered that the corresponding detection value may be abnormal.

[0100] For example, the deviation threshold is set to 20%. When the calculated exhaust flow deviation at a certain moment reaches 25%, it exceeds the threshold and it is considered that the detection value may be inaccurate or abnormal.

[0101] The beneficial effects of the above technologies are as follows: the data decomposition subunit refines the detection data to each moment, improves the accuracy and granularity of data processing, and helps to analyze the changes in exhaust parameters more carefully. The deviation calculation subunit can quantify the difference between the detection value and the theoretical value by calculating the deviation, providing a clear standard for abnormality detection. The abnormal detection value screening subunit effectively filters out abnormal data, improves the accuracy and reliability of the data, and avoids the interference of abnormal data on subsequent calculations. The data integration subunit comprehensively considers the theoretical value, normal detection value and abnormal detection value to determine the actual exhaust parameters, making the results more reasonable and comprehensive. It helps to calibrate the exhaust parameters more accurately, providing a reliable basis for accurately determining the heat recovery rate and formulating the optimal heat exchange strategy, thereby improving the overall performance and rate of the compressor heat recovery system.

[0102] Embodiment 6:

[0103] Based on Example 5, the compressor heat recovery system, the data integration subunit, includes:

[0104] A first abnormal detection value correction terminal is used to correct all the exhaust flow abnormal detection values ​​based on all the exhaust flow detection values ​​remaining in the exhaust flow detection data of the compressor exhaust port position in the historical period with the current moment as the end time, except for all the exhaust flow abnormal detection values, to obtain the effective exhaust flow detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end time;

[0105] The second abnormal detection value correction terminal is used to correct all the abnormal exhaust temperature detection values ​​based on all the remaining exhaust temperature detection values ​​in the exhaust temperature detection data of the compressor exhaust port position in the historical period with the current moment as the end time, except for all the abnormal exhaust temperature detection values, to obtain the effective exhaust temperature detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end time;

[0106] The numerical integration end is used to determine the actual exhaust flow value and actual exhaust temperature value of the compressor in the historical period with the current moment as the end moment based on the effective detection value of the exhaust flow rate and the effective detection value of the exhaust temperature at all moments in the historical period with the current moment as the end moment, and the theoretical exhaust flow rate and the theoretical exhaust temperature value of the compressor under the current operating parameters.

[0107] The beneficial effects of the above technology are as follows: the first abnormal detection value correction end and the second abnormal detection value correction end correct the abnormal detection values ​​of the exhaust flow and exhaust temperature respectively, thereby improving the accuracy and availability of abnormal data. By correcting the abnormal detection values, the overall error caused by individual abnormal data is reduced, and the stability and reliability of the data are enhanced. The numerical integration end comprehensively considers the corrected effective detection values ​​and theoretical values ​​to determine the actual exhaust parameters, so that the final determined actual exhaust flow value and actual exhaust temperature value are more accurate and reasonable. It helps to more accurately evaluate the exhaust condition of the compressor and provide strong support for the accurate calculation of the heat recovery rate. It can optimize the performance of the compressor heat recovery system, improve the energy utilization rate, and reduce the system operating cost and energy waste.

[0108] Embodiment 7:

[0109] On the basis of Embodiment 6, the compressor heat energy recovery system, the first abnormal detection value correction end, comprises:

[0110] A reference value determination sub-terminal, used to determine two reference exhaust flow detection values ​​for each exhaust flow abnormality detection value from exhaust flow detection data at the compressor exhaust port position within a historical period with the current moment as the end moment;

[0111] The numerical correction end is used to determine the effective exhaust flow detection value at the corresponding moment based on the two reference exhaust flow detection values ​​of each exhaust flow abnormality detection value, and to use each exhaust temperature detection value remaining except all exhaust temperature abnormality detection values ​​in the exhaust temperature detection data of the compressor exhaust port position within the historical period with the current moment as the end moment as the effective exhaust flow detection value at the corresponding moment.

[0112] In this embodiment, two reference exhaust flow detection values ​​for each abnormal exhaust flow detection value: for an exhaust flow detection value determined to be abnormal, two adjacent normal exhaust flow detection values ​​are selected as references. For example, if a series of exhaust flow detection values ​​are 8, 10, 15 (abnormal), 12, 11, then 10 and 12 may be selected as the two reference exhaust flow detection values ​​for the abnormal value 15.

[0113] In this embodiment, based on the two reference exhaust flow detection values ​​of each exhaust flow abnormality detection value, the effective exhaust flow detection value at the corresponding moment is determined: it means that according to the selected two reference exhaust flow detection values, a more reasonable and effective exhaust flow detection value at the moment corresponding to the abnormal detection value is corrected or determined through a certain calculation or processing method. For example: the average value method can be used. If the two reference values ​​of the abnormal value are 10 and 12 respectively, then the effective detection value corresponding to the abnormal value may be determined to be 11.

[0114] The beneficial effects of the above technology are as follows: the reference value determination sub-end provides a reliable reference for correction by determining the reference exhaust flow detection value adjacent to the abnormal detection value, thereby improving the accuracy of the correction. The numerical correction end performs correction based on the reference value, which can make the abnormal exhaust flow detection value closer to the actual situation and reduce the error caused by abnormal data. It helps to improve the overall quality and reliability of the exhaust flow detection data, and provide a strong guarantee for the subsequent accurate calculation of the actual exhaust flow value. It can more accurately reflect the actual situation of the compressor exhaust flow and provide more accurate data support for the optimization and control of the system. It improves the stability and robustness of the compressor heat recovery system when processing data, and enhances the performance and reliability of the system.

[0115] Embodiment 8:

[0116] Based on Example 6, the compressor heat recovery system, the numerical integration end, includes:

[0117] A first calculation sub-end is used to fit the exhaust flow effective detection function and the exhaust temperature effective detection function in the historical period with the current moment as the end time, based on the exhaust flow effective detection value and the exhaust temperature effective detection value of the compressor exhaust port position at all times in the historical period with the current moment as the end time, respectively, and calculate the function integral value of the exhaust flow effective detection function in the historical period with the current moment as the end time as the first integral value, and at the same time, calculate the function integral value of the exhaust temperature effective detection function in the historical period with the current moment as the end time as the second integral value;

[0118] The second calculation sub-terminal is used to calculate the function integral value of the constant function whose function value is equal to the theoretical exhaust flow value of the compressor under the current operating condition parameters in the historical period with the current moment as the end moment, as the third integral value, and at the same time, calculate the function integral value of the constant function whose function value is equal to the theoretical exhaust temperature value of the compressor under the current operating condition parameters in the historical period with the current moment as the end moment, as the fourth integral value;

[0119] The third calculation sub-terminal is used to determine the actual exhaust flow value and the actual exhaust temperature value of the compressor in the historical period with the current moment as the end moment based on the first integral value, the second integral value, the third integral value and the fourth integral value.

[0120] In this embodiment, based on the effective exhaust flow detection values ​​and exhaust temperature effective detection values ​​of the compressor exhaust port position at all times in the historical period with the current moment as the end time, the exhaust flow effective detection function and exhaust temperature effective detection function in the historical period with the current moment as the end time are fitted respectively: this means that the effective exhaust flow and exhaust temperature detection values ​​obtained at each moment in a specific historical period are used to construct a function that can describe the law of exhaust flow and exhaust temperature changing over time through mathematical methods (such as curve fitting). For example: Assuming that in the historical period of the past 1 hour, the effective exhaust flow detection values ​​at multiple moments (such as 5 cubic meters / minute at 10 minutes, 6 cubic meters / minute at 20 minutes, etc.) are obtained, using a suitable fitting method (such as polynomial fitting), a function similar to "exhaust flow = f(t)" can be obtained, where t represents time. Similarly, similar processing is performed on the effective exhaust temperature detection value to obtain the effective detection function of the exhaust temperature.

[0121] The beneficial effects of the above technology are as follows: the first calculation sub-end can comprehensively reflect the changes in exhaust flow and temperature in the historical period by fitting the effective detection function and calculating the integral value, providing a detailed data basis for subsequent integration. The second calculation sub-end integrates the constant function of the theoretical exhaust flow and temperature, providing a standard reference for comparison and integration with the actual detection value. The third calculation sub-end determines the actual exhaust flow and temperature values ​​based on the integral value, making the results more scientific and accurate, and reducing the error caused by a single data point. It helps to more accurately integrate various data, so as to more accurately determine the actual exhaust conditions of the compressor, and provide a reliable basis for the calculation of the heat recovery rate and the formulation of the optimal exchange strategy. It can improve the accuracy and reliability of the compressor heat recovery system in data processing and analysis, and optimize the system's performance and energy utilization rate.

[0122] Embodiment 9:

[0123] On the basis of Embodiment 8, in the compressor heat energy recovery system, the third calculation sub-terminal determines the actual exhaust flow value and the actual exhaust temperature value of the compressor in the historical period with the current moment as the end moment based on the first integral value, the second integral value, the third integral value and the fourth integral value, including:

[0124] The ratio of the average of the first integral value and the third integral value to the duration of the historical cycle is regarded as the actual exhaust flow value of the compressor during the historical cycle with the current moment as the end moment, and the ratio of the average of the second integral value and the fourth integral value to the duration of the historical cycle is regarded as the actual exhaust temperature value of the compressor during the historical cycle with the current moment as the end moment.

[0125] The beneficial effects of the above technology are: the actual exhaust flow rate and temperature values ​​are determined by calculating the ratio of the mean of the integral value to the length of the historical cycle, and the overall situation in the historical cycle is comprehensively considered to make the results more representative and stable. This calculation method effectively integrates actual test data and theoretical data, balances the influence of the two, and improves the accuracy and reliability of the results. It helps to more accurately reflect the average level of exhaust flow and temperature of the compressor over a period of time, and provides a valuable reference for the long-term operation and optimization of the heat recovery system. It can provide accurate data support for the performance evaluation and energy efficiency analysis of the system, and facilitate timely detection of problems and adjustments. It improves the scientificity and rationality of the compressor heat recovery system in determining key parameters, which is conducive to more efficient heat recovery and utilization.

[0126] Embodiment 10:

[0127] Based on Example 1, the compressor heat recovery system, the heat exchange strategy determination module includes:

[0128] The model building submodule is used to build a heat energy exchange strategy determination model;

[0129] The strategy determination submodule is used to input the heat energy recovery rate and the heat energy consumption rate as well as the preset heat exchange loss calculation method of each heat exchange method into the heat exchange strategy determination model to obtain the optimal heat energy exchange strategy, wherein the optimal heat energy exchange strategy includes: the heat exchange method and the heat exchange area as well as the fluid flow rate of the heat exchange medium.

[0130] In this embodiment, a heat exchange strategy determination model is built by selecting a suitable algorithm, applying relevant data and mathematical principles, and creating a mathematical or computational model that can output the best heat exchange strategy (including heat exchange method, heat exchange area and fluid flow of heat exchange medium, etc.) based on the input heat recovery rate, heat consumption rate and preset heat exchange loss calculation method of various heat exchange methods. It is possible to use the regression algorithm in machine learning and train based on a large amount of historical data to build a model that can accurately determine the best heat exchange strategy. The input of the model is various relevant parameters and data, and after calculation and analysis within the model, a specific heat exchange strategy recommendation is finally given.

[0131] The beneficial effects of the above technology are as follows: the heat exchange strategy determination model built by the model building submodule provides a professional and unified analysis framework for determining the optimal strategy, which improves the scientificity and standardization of decision-making. The strategy determination submodule inputs a variety of key factors into the model, which can comprehensively consider the situation of heat recovery and consumption as well as heat exchange losses to ensure the integrity and accuracy of the strategy. It helps to quickly and efficiently obtain the optimal heat exchange strategy, saves the time cost of manual calculation and analysis, and improves the decision-making rate. It can flexibly adjust the input parameters according to the real-time changes and different needs of the system, and update the optimal strategy in time, which enhances the adaptability and flexibility of the system. The detailed optimal strategies determined, including heat exchange mode, area and medium fluid flow, provide clear and precise guidance for the actual operation and optimization of the system, which helps to achieve more efficient and energy-saving heat recovery and utilization.

[0132] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A compressor heat recovery system, characterized in that: include: A recovery rate determination module, used to determine a heat energy recovery rate based on current operating condition parameters of the compressor; A consumption rate acquisition module is used to acquire the heat energy consumption rate of the current heat energy consumption device; A heat exchange strategy determination module, used to determine an optimal heat exchange strategy based on a heat recovery rate and a heat consumption rate and a preset heat exchange loss calculation method for each heat exchange method, wherein the optimal heat exchange strategy includes: a heat exchange method and a heat exchange area and a fluid flow rate of a heat exchange medium; Wherein, the recovery rate determination module includes: The working condition data analysis submodule is used to determine the actual exhaust flow value and the actual exhaust temperature value of the compressor in a historical period with the current moment as the end moment based on the current operating condition parameters of the compressor; A recovery rate determination submodule, used to determine a heat energy recovery rate based on an actual exhaust flow value and an actual exhaust temperature value of the compressor in a historical period with the current moment as the end moment; Among them, the working condition data analysis submodule includes: The theoretical exhaust parameter determination unit is used to determine the theoretical exhaust flow value and the theoretical exhaust temperature value of the compressor under the current operating condition parameters based on the current operating condition parameters of the compressor; An exhaust parameter detection unit, used to obtain exhaust flow detection data and exhaust temperature detection data of the exhaust port position of the compressor within a historical period with the current moment as the end moment based on an intelligent sensor; The exhaust parameter periodic calibration unit is used to determine the actual exhaust flow value and actual exhaust temperature value of the compressor in a historical period with the current moment as the end time based on the theoretical exhaust flow value and theoretical exhaust temperature value of the compressor under the current operating parameters and the exhaust flow detection data and exhaust temperature detection data of the exhaust port position of the compressor in a historical period with the current moment as the end time.

2. The compressor heat recovery system according to claim 1, characterized in that: Theoretical exhaust parameter determination unit, including: A mathematical relationship model establishment subunit is used to establish a mathematical relationship model between the compressor operating condition parameters and the exhaust flow rate, and a mathematical relationship model between the compressor operating condition parameters and the exhaust temperature; The theoretical exhaust parameter determination subunit is used to input the current operating condition parameters of the compressor into the mathematical relationship model between the compressor operating condition parameters and the exhaust flow rate and the mathematical relationship model between the compressor operating condition parameters and the exhaust temperature, respectively, to obtain the theoretical exhaust flow value and theoretical exhaust temperature value of the compressor under the current operating condition parameters.

3. The compressor heat recovery system according to claim 1, characterized in that: Exhaust parameters periodic calibration unit, including: A data decomposition subunit, for determining the exhaust flow detection value and the exhaust temperature detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end time based on the exhaust flow detection data and the exhaust temperature detection data of the compressor exhaust port position in the historical period with the current moment as the end time; The deviation calculation subunit is used to calculate the deviation between the exhaust flow detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end moment and the theoretical exhaust flow value of the compressor under the current operating condition parameters, and at the same time, calculate the deviation between the exhaust temperature detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end moment and the theoretical exhaust temperature value of the compressor under the current operating condition parameters; an abnormal detection value screening subunit, used to treat the exhaust flow detection value and the exhaust temperature detection value whose deviation is greater than the deviation threshold as the exhaust flow abnormal detection value and the exhaust temperature abnormal detection value respectively; The data integration subunit is used to determine the actual exhaust flow value and actual exhaust temperature value of the compressor within a historical period ending at the current moment based on the theoretical exhaust flow value and theoretical exhaust temperature value of the compressor under the current operating parameters, the exhaust flow detection data and exhaust temperature detection data of the compressor exhaust port position within a historical period ending at the current moment, all exhaust flow abnormality detection values ​​and all exhaust temperature abnormality detection values.

4. The compressor heat recovery system according to claim 3, characterized in that: Data integration subunit, including: A first abnormal detection value correction terminal is used to correct all the exhaust flow abnormal detection values ​​based on all the exhaust flow detection values ​​remaining in the exhaust flow detection data of the compressor exhaust port position in the historical period with the current moment as the end time, except for all the exhaust flow abnormal detection values, to obtain the effective exhaust flow detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end time; The second abnormal detection value correction terminal is used to correct all the abnormal exhaust temperature detection values ​​based on all the remaining exhaust temperature detection values ​​in the exhaust temperature detection data of the compressor exhaust port position in the historical period with the current moment as the end time, except for all the abnormal exhaust temperature detection values, to obtain the effective exhaust temperature detection value of the compressor exhaust port position at each moment in the historical period with the current moment as the end time; The numerical integration end is used to determine the actual exhaust flow value and actual exhaust temperature value of the compressor within the historical period ending at the current moment based on the effective detection value of the exhaust flow rate and the effective detection value of the exhaust temperature at all moments in the historical period ending at the current moment at the exhaust port position of the compressor, and the theoretical exhaust flow rate and the theoretical exhaust temperature value of the compressor under the current operating parameters.

5. The compressor heat recovery system according to claim 4, characterized in that: The first abnormal detection value correction terminal includes: A reference value determination sub-terminal, used to determine two reference exhaust flow detection values ​​for each exhaust flow abnormality detection value in the exhaust flow detection data at the compressor exhaust port position within a historical period with the current moment as the end moment; The numerical correction end is used to determine the effective exhaust flow detection value at the corresponding moment based on the two reference exhaust flow detection values ​​of each exhaust flow abnormality detection value, and to regard each exhaust temperature detection value remaining except all exhaust temperature abnormality detection values ​​in the exhaust temperature detection data of the compressor exhaust port position within the historical period with the current moment as the end moment as the effective exhaust flow detection value at the corresponding moment.

6. The compressor heat recovery system according to claim 4, characterized in that: The numerical integration terminal includes: A first calculation sub-end is used to fit the exhaust flow effective detection function and the exhaust temperature effective detection function in the historical period with the current moment as the end time, based on the exhaust flow effective detection value and the exhaust temperature effective detection value of the compressor exhaust port position at all times in the historical period with the current moment as the end time, respectively, and calculate the function integral value of the exhaust flow effective detection function in the historical period with the current moment as the end time as the first integral value, and at the same time, calculate the function integral value of the exhaust temperature effective detection function in the historical period with the current moment as the end time as the second integral value; The second calculation sub-terminal is used to calculate the function integral value of the constant function whose function value is equal to the theoretical exhaust flow value of the compressor under the current operating condition parameters in the historical period with the current moment as the end moment, as the third integral value, and at the same time, calculate the function integral value of the constant function whose function value is equal to the theoretical exhaust temperature value of the compressor under the current operating condition parameters in the historical period with the current moment as the end moment, as the fourth integral value; The third calculation sub-terminal is used to determine the actual exhaust flow value and the actual exhaust temperature value of the compressor in the historical period with the current moment as the end moment based on the first integral value, the second integral value, the third integral value and the fourth integral value.

7. The compressor heat recovery system according to claim 6, characterized in that: The method of determining the actual exhaust flow value and the actual exhaust temperature value of the compressor in the historical period with the current moment as the end moment based on the first integral value, the second integral value, the third integral value and the fourth integral value by the third calculation sub-end includes: The ratio of the average of the first integral value and the third integral value to the duration of the historical cycle is regarded as the actual exhaust flow value of the compressor during the historical cycle with the current moment as the end moment, and the ratio of the average of the second integral value and the fourth integral value to the duration of the historical cycle is regarded as the actual exhaust temperature value of the compressor during the historical cycle with the current moment as the end moment.

8. The compressor heat recovery system according to claim 1, characterized in that: Heat exchange strategy determination module, including: The model building submodule is used to build a heat energy exchange strategy determination model; The strategy determination submodule is used to input the heat energy recovery rate and the heat energy consumption rate as well as the preset heat exchange loss calculation method of each heat exchange method into the heat exchange strategy determination model to obtain the optimal heat energy exchange strategy, wherein the optimal heat energy exchange strategy includes: the heat exchange method and the heat exchange area as well as the fluid flow rate of the heat exchange medium.

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