Compressor heat energy recovery system

Abstract

The present invention relates to the technical field of heat energy recovery, and specifically discloses a compressor heat energy recovery system. The system comprises: a recovery rate determination module, which is used for determining a heat energy recovery rate on the basis of current operating condition parameters of a compressor; a consumption rate acquisition module, which is used for acquiring a heat energy consumption rate of a current heat energy consumption apparatus; and a heat exchange strategy determination module, which is used for determining an optimal heat energy exchange strategy on the basis of the heat energy recovery rate, the heat energy consumption rate, and a preset heat exchange loss calculation mode for each heat exchange mode, wherein the optimal heat energy exchange strategy comprises a heat exchange mode, heat exchange area, and the fluid flow rate of a heat exchange medium, and is used to provide explicit guidance for the actual operation and control of the system, thereby ensuring the efficient and stable operation of the system. The present invention helps to reduce energy consumption, save on costs, and also reduce thermal pollution to the environment, thereby achieving sustainable development.

Description

A compressor heat recovery system Technical Field

[0001] This invention relates to the field of heat recovery technology, and in particular to a compressor heat recovery system. Background Technology

[0002] Currently, compressors are widely used in various systems in industrial production and energy utilization. Compressors generate a large amount of heat energy during operation. Effective recovery and utilization of this heat energy can significantly improve energy utilization rates and reduce energy consumption and costs. Several compressor heat recovery systems are already in use, collecting the heat energy generated by the compressor through various methods and transferring it to devices or systems that require it.

[0003] However, existing compressor heat recovery systems often fail to accurately determine the heat recovery rate based on the compressor's current operating parameters, leading to uncertain recovery results. This affects the overall system's energy balance and optimization. Furthermore, they cannot comprehensively consider factors such as recovery rate, consumption rate, and heat exchange losses to determine the optimal heat exchange strategy, thus compromising the effectiveness of heat recovery and utilization.

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

[0005] This invention provides a compressor heat energy recovery system. A recovery rate determination module determines the compressor's heat energy recovery rate, providing fundamental data for system optimization and helping to fully exploit the compressor's heat energy recovery potential. A consumption rate acquisition module obtains the heat energy consumption rate of heat energy consuming devices, enabling the system to comprehensively consider heat energy supply and demand, achieving more precise energy management. A heat exchange strategy determination module integrates the recovery rate, consumption rate, and heat exchange loss to determine the optimal heat energy exchange strategy, improving the overall energy utilization rate. The determined optimal heat energy exchange strategy includes detailed parameters such as heat exchange method, area, and medium flow rate, providing clear guidance for the system's actual operation and control, ensuring efficient and stable system operation. This helps reduce energy consumption, save costs, and reduce thermal pollution to the environment.

[0006] This invention provides a compressor heat recovery system, comprising:

[0007] The heat recovery rate determination module is used to determine the heat recovery rate based on the current operating parameters of the compressor.

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

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

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

[0011] The operating condition data parsing submodule is used to determine the actual discharge flow rate and actual discharge temperature of the compressor within a historical period ending at the current time, based on the compressor's current operating condition parameters.

[0012] The recovery rate determination submodule is used to determine the heat recovery rate based on the actual exhaust flow rate and actual exhaust temperature of the compressor in a historical cycle ending at the current time.

[0013] Preferably, the compressor heat recovery system includes a working condition data analysis submodule, comprising:

[0014] The theoretical exhaust parameter determination unit is used to determine the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions based on the compressor's current operating condition parameters.

[0015] The exhaust parameter detection unit is used to acquire exhaust flow rate and exhaust temperature detection data of the compressor exhaust port position within a historical period with the current time as the end time, based on intelligent sensors.

[0016] The exhaust parameter periodic calibration unit is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within the historical period ending at the current time, based on the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions, as well as the exhaust flow rate and exhaust temperature detection data of the compressor exhaust port position within the historical period ending at the current time.

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

[0018] The mathematical relationship model establishment sub-unit is used to establish mathematical relationship models between compressor operating condition parameters and exhaust flow rate, and mathematical relationship models between compressor operating condition parameters and 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 rate and theoretical exhaust temperature values ​​of the compressor under the current operating condition parameters.

[0020] Preferably, the compressor heat recovery system includes a periodic calibration unit for exhaust parameters, comprising:

[0021] The data decomposition subunit is used to determine the exhaust flow rate and exhaust temperature detection values ​​of the compressor exhaust port position at each moment in the historical period ending at the current moment, based on the exhaust flow rate and exhaust temperature detection data of the compressor exhaust port position in the historical period ending at the current moment.

[0022] The deviation calculation subunit is used to calculate the deviation between the detected value of the exhaust flow rate at the compressor exhaust port position at each moment in the historical period ending at the current moment and the theoretical exhaust flow rate of the compressor under the current operating conditions. At the same time, it calculates the deviation between the detected value of the exhaust temperature at the compressor exhaust port position at each moment in the historical period ending at the current moment and the theoretical exhaust temperature of the compressor under the current operating conditions.

[0023] The abnormal detection value filtering subunit is used to treat exhaust flow detection values ​​and exhaust temperature detection values ​​with deviations greater than the deviation threshold as abnormal exhaust flow detection values ​​and abnormal exhaust temperature detection values, respectively.

[0024] The data integration subunit is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within the historical period ending at the current time, based on the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions, the exhaust flow rate and exhaust temperature detection data of the compressor exhaust port location within the historical period ending at the current time, all abnormal exhaust flow rate detection values, and all abnormal exhaust temperature detection values.

[0025] Preferably, the compressor heat recovery system includes a data integration subunit, comprising:

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

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

[0028] The numerical integration end is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within the historical period ending at the current time, based on the effective detection values ​​of exhaust flow rate and exhaust temperature at all times within the historical period of the compressor exhaust port position at all times within the current time, and the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions.

[0029] Preferably, in the compressor heat recovery system, the first abnormal detection value correction terminal includes:

[0030] The reference value determination sub-terminal is used to determine two reference exhaust flow detection values ​​for each abnormal exhaust flow detection value in the exhaust flow detection data of the compressor exhaust port location within a historical period ending at the current time.

[0031] The numerical correction end is used to determine the effective exhaust flow detection value at the corresponding time based on two reference exhaust flow detection values ​​for each abnormal exhaust flow detection value. It also takes each exhaust temperature detection value remaining in the exhaust temperature detection data of the compressor exhaust port position within the historical period ending at the current time, excluding all abnormal exhaust temperature detection values, as the effective exhaust flow detection value at the corresponding time.

[0032] Preferably, the compressor heat recovery system, the data integration terminal, includes:

[0033] The first calculation sub-terminal is used to fit the effective detection values ​​of exhaust flow and exhaust temperature at all times within the historical period ending at the current time, based on the effective detection values ​​of exhaust flow and exhaust temperature at all times within the historical period ending at the current time, respectively, and calculate the integral value of the effective detection function of exhaust flow over the historical period ending at the current time as the first integral value. At the same time, it calculates the integral value of the effective detection function of exhaust temperature over the historical period ending at the current time as the second integral value.

[0034] The second calculation sub-terminal is used to calculate the integral value of the constant function whose function value is equal to the theoretical exhaust flow rate of the compressor under the current operating conditions within a historical period ending at the current time, as the third integral value. At the same time, it calculates the integral value of the constant function whose function value is equal to the theoretical exhaust temperature of the compressor under the current operating conditions within a historical period ending at the current time, as the fourth integral value.

[0035] The third calculation sub-terminal is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within a historical period ending at the current time, 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 by which the third calculation terminal determines the actual exhaust flow rate and actual exhaust temperature of the compressor within a historical period ending at the current time, 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 and third integral values ​​to the duration of the historical cycle is taken as the actual exhaust flow rate of the compressor in the historical cycle ending at the current time. The ratio of the average of the second and fourth integral values ​​to the duration of the historical cycle is taken as the actual exhaust temperature of the compressor in the historical cycle ending at the current time.

[0038] Preferably, the compressor heat recovery system includes a heat exchange strategy determination module, comprising:

[0039] The model building submodule is used to build a model for determining heat exchange strategies;

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

[0041] The beneficial effects of this invention compared to existing technologies are as follows: The heat recovery rate determination module provides fundamental data for system optimization by determining the compressor's heat recovery rate, helping to fully exploit the compressor's heat recovery potential. The consumption rate acquisition module obtains the heat consumption rate of the heat-consuming devices, enabling the system to comprehensively consider heat supply and demand, achieving more precise energy management. The heat exchange strategy determination module integrates the recovery rate, consumption rate, and heat exchange loss to determine the optimal heat exchange strategy, improving the overall energy utilization rate. The determined optimal heat exchange strategy includes detailed parameters such as heat exchange method, area, and medium flow rate, providing clear guidance for the actual operation and control of the system, ensuring efficient and stable operation. This helps reduce energy consumption, save costs, and reduce thermal pollution to the environment.

[0042] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.

[0043] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0044] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

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

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

[0047] Figure 3 is a schematic diagram of the heat exchange strategy determination module in an embodiment of the present invention. Detailed Implementation

[0048] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0049] Example 1:

[0050] This invention provides a compressor heat recovery system, referring to Figure 1, comprising:

[0051] The heat recovery rate determination module is used to determine the heat recovery rate based on the current operating parameters of the compressor.

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

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

[0054] In this embodiment, the current operating parameters of the compressor refer to various relevant parameters of the compressor at the moment of operation in the compressor heat recovery system, such as the compressor speed, pressure, temperature, and power. For example, the current operating parameters of a running compressor might 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 during its operation per unit time. For example, if 50 joules of heat energy are recovered from a running compressor in one minute, then the heat recovery rate 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 the device that uses recovered heat energy in the current system, such as a water heater or heating equipment.

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

[0058] In this embodiment, the heat exchange method refers to the specific form in which the heat exchanger in the heat recovery system achieves heat transfer and exchange, such as direct contact heat exchange and indirect heat exchange. For example, indirect heat exchange is where heat is transferred through a metal partition.

[0059] In this embodiment, the preset heat exchange loss calculation method for each heat exchange method is a pre-defined method or formula used to calculate energy loss during the heat exchange process, tailored to different heat exchange methods. For example, for direct contact heat exchange, 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 scheme determined after comprehensively considering various factors, including the choice of heat exchange method, the size of the heat exchange area, and the flow rate of the heat exchange medium. For example, if a partition wall heat exchange method is ultimately chosen, with a heat exchange area of ​​10 square meters and a flow rate of 5 liters per minute for the heat exchange medium, this entire scheme constitutes the optimal heat exchange strategy.

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

[0062] The first method involves calculating the heat energy consumption rate of the current heat energy consuming device based on the compressor's current operating parameters without installing a heat exchanger. Simultaneously, the heat energy consumption rate of the current heat energy consuming device is determined by the rate at which it consumes heat energy per unit time. These two parameter values ​​are independent of whether a heat exchanger is connected. Based on this, selecting the appropriate heat exchanger or heat exchange device corresponding to the optimal heat exchange strategy and connecting it between the compressor and the current heat energy consuming device can improve the overall resource utilization rate. Furthermore, when connecting a heat exchanger or heat exchange device, the heat exchange method, heat exchange area, and heat exchange medium flow rate settings 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 parameters of the compressor, provided that the heat exchanger is installed. At the same time, the heat energy consumption rate of the current heat energy consuming device is determined by the rate at which the current heat energy consuming device consumes heat energy per unit time. These two parameter values ​​are independent of whether a heat exchanger is connected. Based on this, the heat exchange method can be adjusted by adjusting the flow arrangement and flow channel structure of the heat exchange through devices such as valves or baffles.

[0064] For a fixed heat exchanger, its actual heat exchange area is difficult to change directly, but it can be indirectly adjusted by changing the proportion of the effective area involved in heat exchange. For example, if there are multiple heat exchange channels or heat exchange zones inside the heat exchanger, the flow distribution of the heat exchange medium in different channels or zones can be controlled by adjusting valves or baffles, so that more medium flows through the zone 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, flow regulation devices, such as regulating valves and variable frequency pumps, are installed on the inlet and outlet pipes of the heat exchange medium in the heat exchanger. By adjusting the operating parameters of these devices, such as the opening degree of the regulating valve and the frequency of the variable frequency pump, the flow rate of the heat exchange medium can be changed.

[0066] By using the above methods, once the heat exchanger has been designed, the heat exchange method, heat exchange area (indirect), and heat exchange medium flow rate can be 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 heat recovery rate determination module provides fundamental data for system optimization by determining the compressor's heat recovery rate, helping to fully exploit the compressor's heat recovery potential. The consumption rate acquisition module obtains the heat consumption rate of heat-consuming devices, enabling the system to comprehensively consider heat supply and demand, achieving more precise energy management. The heat exchange strategy determination module integrates the heat recovery rate, consumption rate, and heat exchange loss to determine the optimal heat exchange strategy, improving the overall energy utilization rate. The determined optimal heat exchange strategy includes detailed parameters such as heat exchange method, area, and medium flow rate, providing clear guidance for the actual operation and control of the system, ensuring efficient and stable operation. This helps reduce energy consumption, save costs, and reduce thermal pollution to the environment.

[0068] Example 2:

[0069] Based on Example 1, the compressor heat recovery system, specifically the recovery rate determination module, as shown in Figure 2, includes:

[0070] The operating condition data parsing submodule is used to determine the actual discharge flow rate and actual discharge temperature of the compressor within a historical period ending at the current time, based on the compressor's current operating condition parameters.

[0071] The recovery rate determination submodule is used to determine the heat recovery rate based on the actual exhaust flow rate and actual exhaust temperature of the compressor in a historical cycle ending at the current time.

[0072] In this embodiment, the historical period refers to a specific time range that goes back from the current moment. For example, if the historical period is set to 1 hour in the past, then it is the time range that goes back 1 hour from the current moment.

[0073] In this embodiment, the actual exhaust flow rate refers to the actual flow rate of gas discharged by the compressor within a specific historical period during the exhaust process. For example, it is assumed that the actual flow rate of gas discharged by the compressor within the past 30-minute historical period was 10 cubic meters per minute.

[0074] In this embodiment, the actual exhaust temperature value is the actual temperature of the gas discharged by the compressor within a specific historical period. For example, in the past 2-hour historical period, the actual exhaust temperature of the compressor was 120 degrees Celsius.

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

[0076] The beneficial effects of the above technologies are as follows: The operating condition data analysis submodule can accurately analyze key parameters such as the actual discharge flow rate and temperature of the compressor, providing a precise data foundation for subsequent determination of the recovery rate. By determining relevant parameters within historical periods, the dynamic changes in compressor operation are considered, making the assessment of the recovery rate more timely and reliable. The recovery rate determination submodule determines the heat energy recovery rate based on this detailed operating condition data, improving the accuracy of rate calculation. It helps to more accurately understand the heat energy recovery situation of the compressor at different operating stages, providing strong support for optimizing system performance. It can provide more valuable input for subsequent determination of the optimal heat energy exchange strategy, thereby achieving more efficient heat energy recovery and utilization.

[0077] Example 3:

[0078] Based on Example 2, the compressor heat recovery system includes a working condition data parsing submodule, which includes:

[0079] The theoretical exhaust parameter determination unit is used to determine the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions based on the compressor's current operating condition parameters.

[0080] The exhaust parameter detection unit is used to acquire exhaust flow rate and exhaust temperature detection data of the compressor exhaust port position within a historical period with the current time as the end time, based on intelligent sensors.

[0081] The exhaust parameter periodic calibration unit is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within the historical period ending at the current time, based on the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions, as well as the exhaust flow rate and exhaust temperature detection data of the compressor exhaust port position within the historical period ending at the current time.

[0082] In this embodiment, the theoretical discharge flow rate and theoretical discharge temperature of the compressor under the current operating conditions refer to the expected values ​​of the compressor discharge flow rate and discharge temperature obtained through theoretical calculation or model prediction based on the current operating conditions of the compressor. For example, if the current operating conditions of the compressor are a pressure of 5 MPa and a speed of 1000 rpm, the corresponding theoretical discharge flow rate calculated by the theoretical model might be 20 cubic meters per minute, and the theoretical discharge temperature might be 120 degrees Celsius.

[0083] In this embodiment, the exhaust flow detection data is the actual measurement data of exhaust flow detected by a smart sensor at the compressor exhaust port location within a specific time period (a historical period ending at the current time). For example, within the historical period of the past hour, the smart sensor detects the exhaust flow every 5 minutes, obtaining a series of data such as 18 cubic meters per minute, 22 cubic meters per minute, etc., which constitute the exhaust flow detection data.

[0084] In this embodiment, exhaust temperature detection data refers to the actual measured values ​​obtained by using a smart sensor to detect the exhaust temperature at the compressor exhaust port within the same historical period. For example, within the aforementioned 1-hour historical period, temperature values ​​such as 110 degrees Celsius and 115 degrees Celsius obtained at the same intervals 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 rate and temperature values ​​based on the current operating conditions, providing a benchmark for subsequent calibration and helping to improve calibration accuracy. The exhaust parameter detection unit uses intelligent sensors to acquire detection data, enabling real-time and accurate collection of actual operating parameters at the exhaust port, ensuring data timeliness and reliability. The periodic exhaust parameter calibration unit combines theoretical and detected values ​​to determine actual exhaust parameters, improving parameter accuracy and providing a more realistic and accurate understanding of the compressor's exhaust situation. It helps to more accurately assess the compressor's heat generation, providing a reliable basis for subsequent heat recovery rate calculations and the determination of optimal exchange strategies. It can promptly detect abnormalities in compressor operation, providing strong support for equipment maintenance and optimization, ensuring stable system operation and efficient heat recovery.

[0086] Example 4:

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

[0088] The mathematical relationship model establishment sub-unit is used to establish mathematical relationship models between compressor operating condition parameters and exhaust flow rate, and mathematical relationship models between compressor operating condition parameters and 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 rate and theoretical exhaust temperature values ​​of the compressor under the current operating condition parameters.

[0090] In this embodiment, mathematical relationship models are established between compressor operating parameters and exhaust flow rate, and between compressor operating parameters and exhaust temperature. This means that by collecting and analyzing a large amount of compressor operating data, mathematical methods and statistical principles are used to find the inherent laws between compressor operating parameters (such as pressure, speed, power, etc.) and exhaust flow rate and exhaust temperature, and these laws are expressed by mathematical expressions or equations. For example, the mathematical relationship models that may be established are in the form of "exhaust flow rate = f(pressure, speed)" and "exhaust temperature = g(pressure, speed, power)", where f and g are specific functional forms determined through data analysis.

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

[0092] Example 5:

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

[0094] The data decomposition subunit is used to determine the exhaust flow rate and exhaust temperature detection values ​​of the compressor exhaust port position at each moment in the historical period ending at the current moment, based on the exhaust flow rate and exhaust temperature detection data of the compressor exhaust port position in the historical period ending at the current moment.

[0095] The deviation calculation subunit is used to calculate the deviation between the detected value of the exhaust flow rate at the compressor exhaust port position at each moment in the historical period ending at the current moment and the theoretical exhaust flow rate of the compressor under the current operating conditions. At the same time, it calculates the deviation between the detected value of the exhaust temperature at the compressor exhaust port position at each moment in the historical period ending at the current moment and the theoretical exhaust temperature of the compressor under the current operating conditions.

[0096] The abnormal detection value filtering subunit is used to treat exhaust flow detection values ​​and exhaust temperature detection values ​​with deviations greater than the deviation threshold as abnormal exhaust flow detection values ​​and abnormal exhaust temperature detection values, respectively.

[0097] The data integration subunit is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within the historical period ending at the current time, based on the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions, the exhaust flow rate and exhaust temperature detection data of the compressor exhaust port location within the historical period ending at the current time, all abnormal exhaust flow rate detection values, and all abnormal exhaust temperature detection values.

[0098] In this embodiment, the deviation between the measured exhaust flow rate at the compressor discharge port location at each moment within a historical period ending at the current moment and the theoretical exhaust flow rate of the compressor under the current operating conditions is calculated. Simultaneously, the deviation between the measured exhaust temperature at the compressor discharge port location at each moment within the historical period ending at the current moment and the theoretical exhaust temperature of the compressor under the current operating conditions is also calculated. This represents the degree of difference between the actual measured exhaust flow rate and the theoretical exhaust flow rate derived from the current operating conditions at each time point within the historical period, as well as the degree of difference between the actual measured exhaust temperature and the theoretical exhaust temperature. This calculation allows for understanding the deviation between the actual measured value and the theoretical value. Assuming the measured exhaust flow rate at a certain moment is 10 cubic meters per minute and the theoretical exhaust flow rate is 8 cubic meters per minute, the difference is 2 cubic meters per minute. If the theoretical value is the baseline, the deviation could 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, the corresponding detection value is considered to be abnormal.

[0100] For example, if the deviation threshold is set to 20%, when the calculated exhaust flow deviation reaches 25% at a certain moment, it exceeds the threshold, and the detected value is considered to 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, improving the accuracy and granularity of data processing and facilitating a more detailed analysis of exhaust parameter changes. The deviation calculation subunit quantifies the difference between the detected value and the theoretical value by calculating the deviation, providing a clear standard for anomaly detection. The anomaly detection value screening subunit effectively filters out abnormal data, improving the accuracy and reliability of the data and avoiding interference from abnormal data in subsequent calculations. The data integration subunit comprehensively considers theoretical values, normal detection values, and abnormal detection values ​​to determine actual exhaust parameters, making the results more reasonable and comprehensive. This helps to more accurately calibrate exhaust parameters, 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] Example 6:

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

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

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

[0106] The numerical integration end is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within the historical period ending at the current time, based on the effective detection values ​​of exhaust flow rate and exhaust temperature at all times within the historical period of the compressor exhaust port position at all times within the current time, and the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions.

[0107] The beneficial effects of the above technologies are as follows: The first and second anomaly detection correction ends correct the anomaly detection values ​​of exhaust flow and exhaust temperature, respectively, improving the accuracy and usability of the abnormal data. By correcting the anomaly detection values, the overall error caused by individual anomalies is reduced, enhancing the stability and reliability of the data. The numerical integration end comprehensively considers the corrected effective detection values ​​and theoretical values ​​to determine the actual exhaust parameters, making the final determined actual exhaust flow and actual exhaust temperature values ​​more accurate and reasonable. This helps to more accurately evaluate the compressor's exhaust performance and provides strong support for the accurate calculation of the heat recovery rate. It can optimize the performance of the compressor's heat recovery system, improve energy utilization rate, and reduce system operating costs and energy waste.

[0108] Example 7:

[0109] Based on Example 6, the compressor heat recovery system, the first abnormal detection value correction terminal includes:

[0110] The reference value determination sub-terminal is used to determine two reference exhaust flow detection values ​​for each abnormal exhaust flow detection value in the exhaust flow detection data of the compressor exhaust port location within a historical period ending at the current time.

[0111] The numerical correction end is used to determine the effective exhaust flow detection value at the corresponding time based on two reference exhaust flow detection values ​​for each abnormal exhaust flow detection value. It also takes each exhaust temperature detection value remaining in the exhaust temperature detection data of the compressor exhaust port position within the historical period ending at the current time, excluding all abnormal exhaust temperature detection values, as the effective exhaust flow detection value at the corresponding time.

[0112] In this embodiment, for each abnormal exhaust flow detection value, two reference exhaust flow detection values ​​are selected: for an exhaust flow detection value determined to be abnormal, its 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, and 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 two reference exhaust flow detection values ​​for each abnormal exhaust flow detection value, the effective exhaust flow detection value at the corresponding time is determined. This means that based on the two selected reference exhaust flow detection values, a more reasonable and effective exhaust flow detection value at the time corresponding to the abnormal detection value is corrected or determined through certain calculation or processing methods. For example, an average value method can be used. If the two reference values ​​for the abnormal value are 10 and 12, then the effective detection value corresponding to the abnormal value may be determined to be 11.

[0114] The beneficial effects of the above technologies are as follows: The reference value determination sub-end provides a reliable reference for correction by determining a reference exhaust flow rate detection value adjacent to the abnormal detection value, thus improving the accuracy of the correction. The numerical correction end performs correction based on the reference value, enabling abnormal exhaust flow rate detection values ​​to more closely approximate the actual situation and reducing errors caused by abnormal data. This helps improve the overall quality and reliability of exhaust flow rate detection data, providing strong support for the subsequent accurate calculation of actual exhaust flow rate values. It can more accurately reflect the actual situation of compressor exhaust flow rate, providing more accurate data support for system optimization and control. It enhances the stability and robustness of the compressor heat recovery system when processing data, improving the system's performance and reliability.

[0115] Example 8:

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

[0117] The first calculation sub-terminal is used to fit the effective detection values ​​of exhaust flow and exhaust temperature at all times within the historical period ending at the current time, based on the effective detection values ​​of exhaust flow and exhaust temperature at all times within the historical period ending at the current time, respectively, and calculate the integral value of the effective detection function of exhaust flow over the historical period ending at the current time as the first integral value. At the same time, it calculates the integral value of the effective detection function of exhaust temperature over the historical period ending at the current time as the second integral value.

[0118] The second calculation sub-terminal is used to calculate the integral value of the constant function whose function value is equal to the theoretical exhaust flow rate of the compressor under the current operating conditions within a historical period ending at the current time, as the third integral value. At the same time, it calculates the integral value of the constant function whose function value is equal to the theoretical exhaust temperature of the compressor under the current operating conditions within a historical period ending at the current time, as the fourth integral value.

[0119] The third calculation sub-terminal is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within a historical period ending at the current time, 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 detection values ​​of exhaust flow rate and exhaust temperature at all times within a historical period ending at the current time, effective detection functions for exhaust flow rate and exhaust temperature within the historical period ending at the current time are fitted respectively. This means that by using the effective detection values ​​of exhaust flow rate and exhaust temperature obtained at each time within a specific historical period, functions describing the changes in exhaust flow rate and exhaust temperature over time can be constructed using mathematical methods (such as curve fitting). For example, assuming that effective detection values ​​of exhaust flow rate were obtained at multiple times within the past 1-hour historical period (e.g., 5 cubic meters per minute at 10 minutes, 6 cubic meters per minute at 20 minutes, etc.), a function similar to "exhaust flow rate = f(t)" can be obtained using a suitable fitting method (such as polynomial fitting), where t represents time. Similarly, the effective detection values ​​of exhaust temperature are processed in a similar way to obtain an effective detection function for exhaust temperature.

[0121] The beneficial effects of the above technologies are as follows: The first calculation sub-terminal, by fitting an effective detection function and calculating the integral value, can comprehensively reflect the changes in exhaust flow and temperature over historical periods, providing a detailed data foundation for subsequent integration. The second calculation sub-terminal performs integral calculations on the constant functions of theoretical exhaust flow and temperature, providing a standard reference for comparison and integration with actual detection values. The third calculation sub-terminal determines the actual exhaust flow and temperature values ​​based on the integral values, making the results more scientific and accurate, and reducing errors caused by single data points. This helps to more accurately integrate data from multiple aspects, thereby more accurately determining the actual exhaust situation of the compressor, providing a reliable basis for calculating the heat recovery rate and formulating 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 performance and energy utilization rate.

[0122] Example 9:

[0123] Based on Example 8, the compressor heat recovery system, the third calculation sub-terminal, determines the actual exhaust flow rate and actual exhaust temperature of the compressor within a historical period ending at the current time, 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 and third integral values ​​to the duration of the historical cycle is taken as the actual exhaust flow rate of the compressor in the historical cycle ending at the current time. The ratio of the average of the second and fourth integral values ​​to the duration of the historical cycle is taken as the actual exhaust temperature of the compressor in the historical cycle ending at the current time.

[0125] The beneficial effects of the above technology are as follows: By calculating the ratio of the average integral value to the historical cycle duration to determine the actual exhaust flow and temperature values, the overall situation within the historical cycle is comprehensively considered, making the results more representative and stable. This calculation method effectively integrates actual detection data and theoretical data, balancing their influence and improving the accuracy and reliability of the determined results. It helps to more accurately reflect the average level of compressor exhaust flow and temperature over a period of time, providing valuable reference for the long-term operation and optimization of the heat recovery system. It can provide accurate data support for system performance evaluation and energy efficiency analysis, facilitating timely problem identification and adjustments. It enhances the scientific rigor and rationality of determining key parameters in the compressor heat recovery system, which is conducive to achieving more efficient heat recovery and utilization.

[0126] Example 10:

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

[0128] The model building submodule is used to build a model for determining heat exchange strategies;

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

[0130] In this embodiment, a heat exchange strategy determination model is constructed by selecting appropriate algorithms, applying relevant data and mathematical principles, and creating a mathematical or computational model that can output the optimal heat exchange strategy (including heat exchange method, heat exchange area, and fluid flow rate of the heat exchange medium) based on input information such as heat recovery rate, heat consumption rate, and preset heat exchange loss calculation methods for various heat exchange methods. Regression algorithms from machine learning may be used, trained on a large amount of historical data, to build a model capable of accurately determining the optimal heat exchange strategy. The model's input consists of various relevant parameters and data; after internal calculations and analysis, it ultimately provides specific heat exchange strategy recommendations.

[0131] The beneficial effects of the above technologies are as follows: The heat energy exchange strategy determination model built by the model building submodule provides a professional and unified analytical framework for determining the optimal strategy, improving the scientific and standardized nature of decision-making. The strategy determination submodule inputs multiple key factors into the model, comprehensively considering heat energy recovery and consumption, as well as heat exchange losses, ensuring the integrity and accuracy of the strategy. This helps to quickly and efficiently obtain the optimal heat energy exchange strategy, saving time and costs associated with manual calculation and analysis, and improving the decision-making speed. It allows for flexible adjustment of input parameters based on real-time system changes and different needs, updating the optimal strategy in a timely manner, enhancing the system's adaptability and flexibility. The determined optimal strategy, including detailed parameters such as heat exchange method, area, and medium fluid flow rate, provides clear and precise guidance for the actual operation and optimization of the system, contributing to more efficient and energy-saving heat energy recovery and utilization.

[0132] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A compressor heat recovery system, characterized in that, include: The heat recovery rate determination module is used to determine the heat recovery rate based on the current operating parameters of the compressor. The consumption rate acquisition module is used to acquire the current heat energy consumption rate of the heat energy consuming device; The heat exchange strategy determination module is used to determine the optimal heat exchange strategy based on the heat recovery rate, heat consumption rate, and the preset heat exchange loss calculation method for each heat exchange mode. The optimal heat exchange strategy includes: heat exchange mode, heat exchange area, and fluid flow rate of heat exchange medium.

2. The compressor heat recovery system according to claim 1, characterized in that, The recovery rate determination module includes: The operating condition data parsing submodule is used to determine the actual discharge flow rate and actual discharge temperature of the compressor within a historical period ending at the current time, based on the compressor's current operating condition parameters. The recovery rate determination submodule is used to determine the heat recovery rate based on the actual exhaust flow rate and actual exhaust temperature of the compressor in a historical cycle ending at the current time.

3. The compressor heat recovery system according to claim 2, characterized in that, The operating condition data parsing submodule includes: The theoretical exhaust parameter determination unit is used to determine the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions based on the compressor's current operating condition parameters. The exhaust parameter detection unit is used to acquire exhaust flow rate and exhaust temperature detection data of the compressor exhaust port position within a historical period with the current time as the end time, based on intelligent sensors. The exhaust parameter periodic calibration unit is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within the historical period ending at the current time, based on the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions, as well as the exhaust flow rate and exhaust temperature detection data of the compressor exhaust port position within the historical period ending at the current time.

4. The compressor heat recovery system according to claim 3, characterized in that, The theoretical exhaust parameter determination unit includes: The mathematical relationship model establishment sub-unit is used to establish mathematical relationship models between compressor operating condition parameters and exhaust flow rate, and mathematical relationship models between compressor operating condition parameters and 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 rate and theoretical exhaust temperature values ​​of the compressor under the current operating condition parameters.

5. The compressor heat recovery system according to claim 3, characterized in that, The exhaust parameter periodic calibration unit includes: The data decomposition subunit is used to determine the exhaust flow rate and exhaust temperature detection values ​​of the compressor exhaust port position at each moment in the historical period ending at the current moment, based on the exhaust flow rate and exhaust temperature detection data of the compressor exhaust port position in the historical period ending at the current moment. The deviation calculation subunit is used to calculate the deviation between the detected value of the exhaust flow rate at the compressor exhaust port position at each moment in the historical period ending at the current moment and the theoretical exhaust flow rate of the compressor under the current operating conditions. At the same time, it calculates the deviation between the detected value of the exhaust temperature at the compressor exhaust port position at each moment in the historical period ending at the current moment and the theoretical exhaust temperature of the compressor under the current operating conditions. The abnormal detection value filtering subunit is used to treat exhaust flow detection values ​​and exhaust temperature detection values ​​with deviations greater than the deviation threshold as abnormal exhaust flow detection values ​​and abnormal exhaust temperature detection values, respectively. The data integration subunit is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within the historical period ending at the current time, based on the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions, the exhaust flow rate and exhaust temperature detection data of the compressor exhaust port location within the historical period ending at the current time, all abnormal exhaust flow rate detection values, and all abnormal exhaust temperature detection values.

6. The compressor heat recovery system according to claim 5, characterized in that, The data integration subunit includes: The first abnormal detection value correction end is used to correct all abnormal exhaust flow detection values ​​based on all exhaust flow detection values ​​remaining in the exhaust flow detection data of the compressor exhaust port position in the historical period with the current time as the end time, except for all abnormal exhaust flow detection values, so as to obtain the effective exhaust flow detection value of the compressor exhaust port position at each time in the historical period with the current time as the end time. The second abnormal detection value correction end is used to correct all abnormal exhaust temperature detection values ​​based on all exhaust temperature detection values ​​remaining in the exhaust temperature detection data of the compressor exhaust port position in the historical period with the current time as the end time, except for all abnormal exhaust temperature detection values, so as to obtain the effective exhaust temperature detection value of the compressor exhaust port position at each time in the historical period with the current time as the end time. The numerical integration end is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within the historical period ending at the current time, based on the effective detection values ​​of exhaust flow rate and exhaust temperature at all times within the historical period of the compressor exhaust port position at all times within the current time, and the theoretical exhaust flow rate and theoretical exhaust temperature of the compressor under the current operating conditions.

7. The compressor heat recovery system according to claim 6, characterized in that, The first anomaly detection value correction terminal includes: The reference value determination sub-terminal is used to determine two reference exhaust flow detection values ​​for each abnormal exhaust flow detection value in the exhaust flow detection data of the compressor exhaust port location within a historical period ending at the current time. The numerical correction end is used to determine the effective exhaust flow detection value at the corresponding time based on two reference exhaust flow detection values ​​for each abnormal exhaust flow detection value. It also takes each exhaust temperature detection value remaining in the exhaust temperature detection data of the compressor exhaust port position within the historical period ending at the current time, excluding all abnormal exhaust temperature detection values, as the effective exhaust flow detection value at the corresponding time.

8. The compressor heat recovery system according to claim 6, characterized in that, The numerical integration end includes: The first calculation sub-terminal is used to fit the effective detection values ​​of exhaust flow and exhaust temperature at all times within the historical period ending at the current time, based on the effective detection values ​​of exhaust flow and exhaust temperature at all times within the historical period ending at the current time, respectively, and calculate the integral value of the effective detection function of exhaust flow over the historical period ending at the current time as the first integral value. At the same time, it calculates the integral value of the effective detection function of exhaust temperature over the historical period ending at the current time as the second integral value. The second calculation sub-terminal is used to calculate the integral value of the constant function whose function value is equal to the theoretical exhaust flow rate of the compressor under the current operating conditions within a historical period ending at the current time, as the third integral value. At the same time, it calculates the integral value of the constant function whose function value is equal to the theoretical exhaust temperature of the compressor under the current operating conditions within a historical period ending at the current time, as the fourth integral value. The third calculation sub-terminal is used to determine the actual exhaust flow rate and actual exhaust temperature of the compressor within a historical period ending at the current time, based on the first integral value, the second integral value, the third integral value, and the fourth integral value.

9. The compressor heat recovery system according to claim 8, characterized in that, The third calculation sub-terminal determines the actual discharge flow rate and actual discharge temperature of the compressor within a historical period ending at the current time, based on the first, second, third, and fourth integral values. The method includes: The ratio of the average of the first and third integral values ​​to the duration of the historical cycle is taken as the actual exhaust flow rate of the compressor in the historical cycle ending at the current time. The ratio of the average of the second and fourth integral values ​​to the duration of the historical cycle is taken as the actual exhaust temperature of the compressor in the historical cycle ending at the current time.

10. The compressor heat recovery system according to claim 1, characterized in that, The heat exchange strategy determination module includes: The model building submodule is used to build a model for determining heat exchange strategies; The strategy determination submodule is used to input the heat recovery rate, heat consumption rate, and the preset heat exchange loss calculation method for each heat exchange mode into the heat exchange strategy determination model to obtain the optimal heat exchange strategy. The optimal heat exchange strategy includes: heat exchange mode, heat exchange area, and fluid flow rate of heat exchange medium.

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