Digital twin heat pump control method and system for sewage waste heat recovery and purification

Abstract

According to the digital twinning heat pump control method and system for sewage waste heat recovery and purification, a digital twinning platform of the sewage waste heat recovery and purification heat pump control system is built, and a digital twinning model of heat pump control for sewage waste heat recovery and purification is built based on operation data of a sewage waste heat recovery and purification heat pump control system entity; the constructed digital twin model controlled by the sewage waste heat recovery and purification heat pump is placed on a constructed digital twin platform of the sewage waste heat recovery and purification heat pump control system; performing optimization operation on the digital twinborn model for heat pump control for sewage waste heat recovery and purification based on temperature prediction algorithm operation, and performing real-time optimization control on a sewage waste heat recovery and purification heat pump control system according to an operation result; through cooperative control of the magnetic suspension heat pump and the digital twinborn model, the temperature change trend of the anaerobic tank is predicted in advance through a prediction algorithm; the rotating speed of the compressor is dynamically adjusted according to the prediction result, and intelligent and precise adjustment of the water temperature is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage waste heat treatment, in particular to a digital twin heat pump control method and system for sewage waste heat recovery and purification. Background Art

[0002] With the acceleration of the urbanization process and the continuous expansion of industrial scale, sewage treatment and waste heat recovery, as important aspects in the field of energy conservation and environmental protection, are receiving extensive attention. Traditional sewage treatment systems often adopt a single process flow. For example, after adjusting the water quality and quantity using an equalization tank, the sewage directly enters the anaerobic tank for biodegradation treatment. However, this process has deficiencies.

[0003] In the traditional process, the temperature of the effluent from the equalization tank is usually lower than the ideal temperature required for the operation of the anaerobic tank. Directly discharging it into the anaerobic tank will cause a sudden temperature drop, thereby reducing the activity and metabolic efficiency of anaerobic microorganisms (such as methanogens). This temperature fluctuation problem not only limits the sewage purification efficiency but may also cause system acidification or even failure. In the prior art, in order to compensate for the insufficient temperature of the anaerobic tank, attempts have been made to adopt external heating methods (such as electric heating or gas boilers), but such methods have high energy consumption or emission pollution problems, and have a greater impact on the stability of equipment and system operation. In sewage treatment, a certain amount of low-grade waste heat is usually generated. For example, the wastewater temperature in the primary sedimentation tank or biochemical tank is in the range of 25°C to 30°C, but it is often not effectively recovered and utilized, and is directly dissipated through the drainage pipe network. Traditional heat recovery methods are difficult to fully utilize the heat energy in sewage, resulting in energy waste and low overall system efficiency. In the process of temperature regulation of equipment such as heat pumps in the prior art, it mostly relies on simple feedback control or preset modes, and does not have the functions of real-time online monitoring, prediction, and adjustment. There are large differences between equipment operation data and environmental conditions, and it is often impossible to accurately predict and control the system temperature change, and cannot timely respond to external environmental temperature fluctuations and sewage water quality changes, thus affecting the overall effect of sewage treatment. Traditional equipment usually cannot achieve real-time monitoring of the operation status of each component and timely determination of abnormal data, resulting in the accumulation of hidden dangers and an increase in failure rates during long-term operation. There are no effective means for equipment maintenance and energy consumption management, posing a severe challenge to the overall energy consumption optimization and equipment health management of the entire system. Summary of the Invention

[0004] In order to overcome the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a digital twin heat pump control method and system for sewage waste heat recovery and purification.

[0005] The technical solution adopted by the present invention to solve its technical problems is: A digital twin heat pump control method for sewage waste heat recovery and purification, comprising the following steps:

[0006] Build a digital twin platform for the sewage waste heat recovery and purification heat pump control system, where the digital twin platform is used for information interaction between the digital twin model for sewage waste heat recovery and purification heat pump control and the entity of the sewage waste heat recovery and purification heat pump control system;

[0007] Based on the operation data of the entity of the sewage waste heat recovery and purification heat pump control system, construct a digital twin model for sewage waste heat recovery and purification heat pump control;

[0008] Place the constructed digital twin model for sewage waste heat recovery and purification heat pump control onto the digital twin platform of the built sewage waste heat recovery and purification heat pump control system;

[0009] Based on the operation of the temperature prediction algorithm, optimize the digital twin model for sewage waste heat recovery and purification heat pump control, and perform real-time optimization control on the sewage waste heat recovery and purification heat pump control system according to the operation results.

[0010] As a further improvement of the present invention: The digital twin platform of the sewage waste heat recovery and purification heat pump control system includes an equipment entity layer, a detection data layer, a data processing layer, a data prediction layer, a data correction model parameter layer, and a data transmission layer.

[0011] As a further improvement of the present invention: The equipment entity layer includes a magnetic levitation heat pump, a temperature acquisition module, and a sewage purification module. The magnetic levitation heat pump includes a condenser, an evaporator, and a compressor speed control module. The temperature acquisition module includes a pool temperature sensing module and an ambient temperature sensing module. The temperature sensing module acquires the temperature of the anaerobic pool in the sewage purification module, and the ambient temperature sensing module acquires the ambient temperature. The compressor speed control module predicts the rate of change of the temperature in the anaerobic pool and controls the change of the compressor speed to adjust the water temperature output to the anaerobic pool; The sewage purification module purifies the sewage through the anaerobic pool and then discharges it again.

[0012] As a further improvement of the present invention: The data transmission layer receives the operation status information of each component of the magnetic levitation heat pump and the sewage purification module, and connects the operation status information of each component to the digital twin platform using the Internet of Things; After the digital twin model for heat pump control is optimized, the operation results are sent to the sewage waste heat recovery and purification heat pump control system for real-time optimization control.

[0013] As a further improvement of the present invention: The detection data layer detects the operation data of each component of the magnetic levitation heat pump and the sewage purification module, and marks or excludes abnormal data.

[0014] As a further improvement of the present invention: The data processing layer uses the temperature prediction algorithm module to predict the temperature of the anaerobic pool and its change trend, and calculates the current temperature change prediction rate.

[0015] As a further improvement of the present invention: according to the deviation between the real-time collected data and the prediction model, the data correction model parameter layer automatically corrects the digital twin model parameters.

[0016] As a further improvement of the present invention: the sewage purification module includes a sewage pretreatment module. The sewage treatment module removes suspended solids in the sewage through a self-cleaning filter, and adopts a flushing method to remove dirt on the filter screen to peel off attached particulate matters. The flushing wastewater is discharged through a pipeline.

[0017] As a further improvement of the present invention: the evaporator enables the pretreated sewage to enter the evaporation section in the evaporator of the magnetic levitation heat pump through a heat pump. The evaporation section has a heat absorption structure. The refrigerant in the compressor evaporates into a refrigerant gas after absorbing the heat of the sewage through the heat absorption structure of the evaporation section.

[0018] As a further improvement of the present invention: the magnetic levitation heat pump adopts a three-stage magnetic levitation compressor to perform three-stage compression on the refrigerant gas. The three-stage magnetic levitation compressor has three compression chambers, each compression chamber has an impeller, and the diameter of each stage of impeller decreases. The low-temperature and low-pressure refrigerant gas is compressed into a high-temperature and high-pressure refrigerant gas through three-stage compression.

[0019] As a further improvement of the present invention: the evaporator enables the pretreated sewage to enter the evaporation section in the evaporator of the magnetic levitation heat pump through a heat pump. The evaporation section has a heat absorption structure. The refrigerant in the compressor evaporates into a refrigerant gas after absorbing the heat of the sewage through the heat absorption structure of the evaporation section.

[0020] It further includes a digital twin heat pump control system for sewage waste heat recovery and purification. The system includes:

[0021] Data acquisition module: acquires the operation data of the entity of the sewage waste heat recovery and purification heat pump control system;

[0022] Data processing module: based on the sewage waste heat recovery and purification heat pump control system, controls the rotation speed of the magnetic levitation heat pump and adjusts the water temperature of the anaerobic tank;

[0023] Data simulation module: conducts temperature control simulation based on the information of controlling the rotation speed of the magnetic levitation heat pump, and compares and optimizes the operation data of the entity of the water waste heat recovery and purification heat pump control system;

[0024] Execution module: used to simulate the temperature control of the sewage waste heat recovery and purification heat pump control system. According to the prediction result, the compressor speed control module adjusts the working state of the heat pump and regulates the output water temperature.

[0025] Compared with the prior art, the beneficial effects of the present invention are:

[0026] (1) Through the collaborative control of the magnetic levitation heat pump and the digital twin model, the system can fully absorb the low-grade heat energy in the sewage and effectively transfer the heat energy to the anaerobic tank, achieving the maximum utilization of energy recovery and avoiding the energy waste caused by the direct dissipation of heat in the traditional process;

[0027] (2) Use the temperature acquisition module to collect temperature data in real time, and predict the temperature change trend of the anaerobic tank in advance through the prediction algorithm; the compressor speed is dynamically adjusted according to the prediction results, realizing the intelligent and precise adjustment of the water temperature; and ensuring the anaerobic reaction efficiency and improving the sewage purification quality;

[0028] (3) Use the digital twin model to predict the system operation state and perform adaptive optimization control on the heat pump system accordingly; accurately control the compressor speed, effectively reduce the energy consumption of the system, and achieve energy-saving operation. Brief Description of the Drawings

[0029] In order to more clearly illustrate the technical solution, the drawings required for the implementation will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0030] Figure 1 It is a schematic structural diagram of the equipment entity layer of the present invention. Detailed Embodiments

[0031] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0033] Unless otherwise specifically stated, the relative arrangements, numerical expressions, and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present application. At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship. Technologies, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the said technologies, methods, and devices should be regarded as part of the authorization specification. In all the examples shown and discussed here, any specific value should be construed as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values. It should be noted that like reference numerals and letters denote like items in the following drawings, and thus, once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0034] The outlet temperature of the existing equalization tank is usually lower than the ideal temperature of the anaerobic tank. Direct discharge will cause a sudden drop in the temperature of the anaerobic tank, thereby reducing the activity and metabolic efficiency of anaerobic microorganisms such as methanogens. Due to the traditional process relying on simple feedback control or preset modes and lacking real-time monitoring and dynamic prediction of the equipment and environmental temperature, it is difficult to achieve precise control of temperature changes, resulting in a greater impact on the anaerobic reaction. To make up for the insufficient temperature of the anaerobic tank, the prior art attempts to use electric heating or gas boilers for temperature compensation, which not only has high energy consumption and high costs but may also cause emission pollution. The low-grade waste heat generated during the sewage treatment process, such as the heat energy in the wastewater of the primary sedimentation tank or biochemical tank at 25°C - 30°C, is mostly not effectively recovered and utilized and is directly dissipated into the drainage system, resulting in energy waste. During the temperature control process, traditional heat pumps and related equipment cannot combine equipment operation data with external environmental conditions in real time, making it difficult to cope with temperature fluctuations and water quality changes, and the overall system efficiency is thus restricted. The existing system lacks the ability of online monitoring, prediction, and adjustment based on real-time data, and thus cannot respond quickly to changes in environmental conditions, affecting the stable operation and purification efficiency of the sewage treatment system.

[0035] In view of the problems in the prior art, the present application provides a digital twin heat pump control method and system for sewage waste heat recovery and purification. By combining the energy-saving advantages of the magnetic levitation heat pump with the modeling and control capabilities of the digital twin, the intelligent recovery and utilization of sewage waste heat are realized, which not only improves the overall energy efficiency of the sewage treatment system but also significantly enhances the operation intelligence and the accuracy of temperature control.

[0036] A digital twin heat pump control method for sewage waste heat recovery and purification includes the following steps:

[0037] Build a digital twin platform for the sewage waste heat recovery and purification heat pump control system, where the digital twin platform is used for information interaction between the digital twin model for sewage waste heat recovery and purification heat pump control and the entity of the sewage waste heat recovery and purification heat pump control system;

[0038] Based on the operation data of the entity of the sewage waste heat recovery and purification heat pump control system, build a digital twin model for sewage waste heat recovery and purification heat pump control;

[0039] Place the built digital twin model for sewage waste heat recovery and purification heat pump control onto the digital twin platform of the built sewage waste heat recovery and purification heat pump control system;

[0040] Based on the operation of the temperature prediction algorithm, optimize the digital twin model for sewage waste heat recovery and purification heat pump control, and perform real-time optimization control on the sewage waste heat recovery and purification heat pump control system according to the operation results.

[0041] The digital twin platform of the sewage waste heat recovery and purification heat pump control system realizes information interaction between physical devices and the digital twin model, ensures the synchronous update of system state data, and adjusts the heat pump operation parameters in a timely manner through closed-loop control, improving the system's response speed and regulation accuracy; uses the temperature prediction algorithm to calculate the temperature change trend of the anaerobic tank, predict the temperature change rate in advance, thereby optimizing the heat pump control strategy, effectively alleviating the problem of decreased microbial activity caused by temperature fluctuations, maintaining the temperature stability of the anaerobic tank, and improving the sewage purification efficiency; through real-time optimization operation of the digital twin model, the heat pump can operate under the best working conditions, reduce unnecessary energy consumption, achieve the maximum recovery and utilization of waste heat, improve the overall energy efficiency of the system, and reduce energy waste; based on the real-time collected operation data, automatically build and correct the digital twin model, enabling the system to continuously adapt and optimize the control strategy during operation, enhancing the system's adaptability to environmental changes and fluctuations in operating conditions.

[0042] As an embodiment of the present invention, the digital twin platform of the sewage waste heat recovery and purification heat pump control system includes an equipment entity layer, a detection data layer, a data processing layer, a data prediction layer, a data correction model parameter layer, and a data transmission layer.

[0043] As an embodiment of the present invention, the equipment entity layer includes a magnetic levitation heat pump, a temperature acquisition module, and a sewage purification module. The magnetic levitation heat pump includes a condenser, an evaporator, and a compressor speed control module. The temperature acquisition module includes a pool temperature sensing module and an environmental temperature sensing module. The temperature sensing module acquires the temperature of the anaerobic tank in the sewage purification module, and the environmental temperature sensing module acquires the environmental temperature. The compressor speed control module controls the change of the compressor speed according to the predicted rate of temperature change in the anaerobic tank to adjust the water temperature output to the anaerobic tank; the sewage purification module purifies the sewage through the anaerobic tank and then discharges it again.

[0044] Further, the sewage purification module includes a sewage pretreatment module. The sewage treatment module removes suspended solids in the sewage through a self-cleaning filter, and uses a flushing method to remove dirt on the filter screen to strip attached particulate matter. The flushing wastewater is discharged through a pipeline.

[0045] Further, the evaporator enables the pretreated sewage to enter the evaporation section in the evaporator of the magnetic levitation heat pump through a heat pump. The evaporation section has a heat absorption structure. The refrigerant in the compressor evaporates into a refrigerant gas after absorbing the heat of the sewage through the heat absorption structure of the evaporation section.

[0046] Further, the magnetic levitation heat pump uses a three-stage magnetic levitation compressor to perform three-stage compression on the refrigerant gas. The three-stage magnetic levitation compressor has three compression chambers, each compression chamber has an impeller, and the diameter of each stage of impeller decreases. The low-temperature and low-pressure refrigerant gas is compressed into a high-temperature and high-pressure refrigerant gas through three-stage compression.

[0047] Further, the evaporator enables the pretreated sewage to enter the evaporation section in the evaporator of the magnetic levitation heat pump through a heat pump. The evaporation section has a heat absorption structure. The refrigerant in the compressor evaporates into a refrigerant gas after absorbing the heat of the sewage through the heat absorption structure of the evaporation section.

[0048] Further, the condenser releases heat in a condensing manner by passing the high-temperature and high-pressure refrigerant gas through the condensing section of the condenser and the regulating water. The high-temperature and high-pressure refrigerant transfers the heat to the regulating water. After the regulating water is heated, it is discharged from the compressor to supply heat to the anaerobic pond.

[0049] Further, the pond temperature sensing module obtains the temperatures at multiple positions in the anaerobic pond, and takes the average value of the temperatures at multiple positions as the anaerobic pond temperature. The ambient temperature sensing module obtains the ambient temperature outside the anaerobic pond. The pond temperature sensing module and the ambient temperature sensing module respectively obtain the anaerobic pond temperature and the ambient temperature at regular intervals along the time axis.

[0050] Adopting a magnetic levitation heat pump structure, with the evaporator and condenser working together, it can fully absorb the low-temperature heat energy in the pretreated sewage, and increase the refrigerant temperature through three-stage compression, enabling efficient conversion and full release of the heat energy, thereby achieving effective recovery of waste heat and reducing energy waste; the temperature acquisition module uses the pool temperature sensing module to measure the temperature at multiple positions in the anaerobic pool and take the average, and the environmental temperature sensing module to collect the external temperature, ensuring the accuracy and stability of the temperature data. Based on the temperature change prediction rate, the compressor speed control module can timely adjust the output water temperature to maintain the temperature in the anaerobic pool within an appropriate range, guarantee the activity of anaerobic microorganisms, and improve the sewage purification efficiency. The sewage purification module integrates a sewage pretreatment device, and effectively removes suspended solids in the sewage through a self-cleaning filter; the three-stage magnetic levitation compressor adopts a multi-stage compression structure to gradually compress the low-temperature and low-pressure refrigerant gas to a high-temperature and high-pressure state, achieving the maximization of compression efficiency.

[0051] As an embodiment of the present invention, the data transmission layer receives the operation status information of each component of the magnetic levitation heat pump and the sewage purification module, and connects the operation status information of each component to the digital twin platform by using the Internet of Things; after the digital twin model of the heat pump control performs an optimization operation, the operation result is sent to the sewage waste heat recovery and purification heat pump control system for real-time optimization control.

[0052] Furthermore, the detection data layer detects the operation data of each component of the magnetic levitation heat pump and the sewage purification module, and marks or excludes abnormal data.

[0053] Furthermore, the data processing layer uses the temperature prediction algorithm module to predict the temperature of the anaerobic pool and its change trend, and calculates the current temperature change prediction rate.

[0054] Furthermore, the data correction model parameter layer automatically corrects the digital twin model parameters according to the deviation between the real-time collected data and the prediction model.

[0055] Furthermore, the temperature prediction algorithm module calculates the temperature change prediction rate of the anaerobic pool at the previous moment and the temperature change prediction rate of the anaerobic pool at the current moment through the formula:

[0056]

[0057] where, is the temperature change rate of the anaerobic pool at time t, is the temperature change rate of the environment at time t, is the temperature of the anaerobic pool at time t, is the environmental temperature at time t, α is the smoothing coefficient, α = 3, and β is the environmental temperature influence factor.

[0058] The environmental temperature influence factor is calculated through regression analysis

[0059]

[0060] Among them, when The change rate is greater than 0.5, β is 0.8.

[0061] Using the Internet of Things technology, the data transmission layer can collect the operation status information of each component of the magnetic levitation heat pump and the sewage purification module in real time, and seamlessly connect it to the digital twin platform to achieve multi-terminal data interconnection and collaborative control; the detection data layer detects the operation data of each component in real time; the data processing layer uses the temperature prediction algorithm module to comprehensively calculate the temperature of the anaerobic tank and its change trend, and accurately calculate the current temperature change prediction rate to provide early warning and decision-making basis for the control system; introduce parameters such as the temperature change rate in the pool, the environmental temperature change rate, the real-time temperature value, the smoothing coefficient, and the environmental temperature influence factor, and use regression analysis to quantify the environmental impact; the data correction model parameter layer automatically corrects the digital twin model parameters according to the deviation between the real-time collected data and the output of the prediction model; under the guidance of the temperature prediction algorithm, the system can more accurately predict the temperature change trend of the anaerobic tank and adjust the working state of the heat pump in real time according to the prediction results to achieve precise temperature control.

[0062] The present invention also includes a heat pump control system for digital twin for sewage waste heat recovery and purification, and the system includes:

[0063] Data acquisition module: Collect the operation data of the entity of the sewage waste heat recovery and purification heat pump control system;

[0064] Data processing module: Based on the sewage waste heat recovery and purification heat pump control system, control the rotation speed of the magnetic levitation heat pump and adjust the water temperature of the anaerobic tank;

[0065] Data simulation module: Perform temperature control simulation based on the information of controlling the rotation speed of the magnetic levitation heat pump, and compare and optimize the operation data of the entity of the water waste heat recovery and purification heat pump control system;

[0066] Execution module: Used to simulate the temperature control of the sewage waste heat recovery and purification heat pump control system. According to the prediction results, the compressor speed control module adjusts the working state of the heat pump and adjusts the output water temperature.

[0067] The operation data of each key component of the heat pump system is obtained in real time through the data acquisition module, and then the model comparison and optimization are carried out by the data processing module and the data simulation module. Finally, the execution module uses the optimization results to dynamically adjust the heat pump state, realizing the full closed-loop feedback control from monitoring to regulation. Based on the speed control information of the magnetic levitation heat pump, the system can predict the temperature change trend of the anaerobic pond in advance and adjust the compressor speed in real time to keep the output water temperature within the ideal range.

[0068] In summary, after reading the present invention document, those of ordinary skill in the art can make various other corresponding transformation schemes without creative mental labor according to the technical solutions and technical concepts of the present invention, and all of them fall within the scope protected by the present invention.

Claims

1. A digital twin heat pump control method for wastewater waste heat recovery and purification, characterized in that: The following steps are involved: Building a digital twin platform for a waste heat recovery and purification heat pump control system, wherein the digital twin platform is used for information exchange between a digital twin model of a waste heat recovery and purification heat pump control system and a waste heat recovery and purification heat pump control system entity; Based on the operation data of the wastewater waste heat recovery and purification heat pump control system entity, a digital twin model of the wastewater waste heat recovery and purification heat pump control is constructed; Place the constructed digital twin model of the heat pump control for waste heat recovery and purification of sewage into the constructed digital twin platform of the heat pump control system for waste heat recovery and purification of sewage; The digital twin model of the heat pump control for waste heat recovery and purification of sewage is optimized based on the temperature prediction algorithm, and the waste heat recovery and purification heat pump control system is optimized and controlled in real time according to the calculation results.

2. The heat pump control method of digital twin for waste heat recovery and purification of sewage according to claim 1 is characterized in that: The digital twin platform of the sewage waste heat recovery and purification heat pump control system includes an equipment entity layer, a detection data layer, a data processing layer, a data prediction layer, a data correction model parameter layer and a data transmission layer.

3. The heat pump control method of digital twin for waste heat recovery and purification of sewage according to claim 2 is characterized in that: The physical layer of the equipment includes a magnetic levitation heat pump, a temperature acquisition module, and a sewage purification module. The magnetic levitation heat pump includes a condenser, an evaporator, and a compressor speed control module. The temperature acquisition module includes a pool temperature sensing module and an environmental temperature sensing module. The temperature sensing module acquires the temperature of the anaerobic tank in the sewage purification module, and the environmental temperature sensing module acquires the ambient temperature. The compressor speed control module predicts the rate of temperature change in the anaerobic tank and controls the compressor speed change to adjust the water temperature output to the anaerobic tank; the sewage purification module purifies the sewage in the anaerobic tank and then discharges it again.

4. The heat pump control method of digital twin for waste heat recovery and purification of sewage according to claim 2 is characterized in that: The data transmission layer receives the collected operating status information of each component of the magnetic levitation heat pump and the sewage purification module, and uses the Internet of Things to connect the operating status information of each component to the digital twin platform; when the digital twin model of the heat pump control is optimized, the calculation results are sent to the sewage waste heat recovery and purification heat pump control system for real-time optimization control.

5. The heat pump control method of digital twin for waste heat recovery and purification of sewage according to claim 2 is characterized in that: The detection data layer detects the operating data of each component of the magnetic levitation heat pump and the sewage purification module, and marks or excludes abnormal data.

6. The heat pump control method of digital twin for waste heat recovery and purification of sewage according to claim 2 is characterized in that: The data processing layer uses the temperature prediction algorithm module to predict the temperature of the anaerobic tank and its change trend, and calculates the current temperature change prediction rate.

7. The heat pump control method of digital twin for waste heat recovery and purification of sewage according to claim 2 is characterized in that: The data correction model parameter layer automatically corrects the digital twin model parameters based on the deviation between the real-time collected data and the prediction model.

8. The heat pump control method of digital twin for waste heat recovery and purification of sewage according to claim 2 is characterized in that: The sewage purification module includes a sewage pretreatment module. The sewage treatment module removes suspended matter in the sewage through a self-cleaning filter, and removes dirt from the filter screen by flushing to peel off attached particles. The flushing wastewater is discharged through a pipeline.

9. The heat pump control method of digital twin for waste heat recovery and purification of sewage according to claim 2, characterized in that: The evaporator allows the pretreated sewage to enter the evaporation section of the evaporator of the magnetic suspension heat pump through the heat pump. The evaporation section has a heat absorption structure. The refrigerant in the compressor absorbs the heat of the sewage through the heat absorption structure of the evaporation section and then evaporates into refrigerant gas.

10. A digital twin heat pump control system for wastewater waste heat recovery and purification, characterized in that: The system comprises: Data acquisition module: collects the operation data of the sewage waste heat recovery and purification heat pump control system entity; Data processing module: Based on the sewage waste heat recovery and purification heat pump control system, control the speed of the magnetic suspension heat pump and adjust the water temperature of the anaerobic tank; Data simulation module: performs temperature control simulation based on the speed information of the magnetic levitation heat pump, and compares and optimizes the operating data of the water waste heat recovery and purification heat pump control system entity; execution module: is used to simulate the temperature control of the sewage waste heat recovery and purification heat pump control system. According to the prediction results, the compressor speed control module adjusts the working state of the heat pump and adjusts the output water temperature.

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