Heat pump-based sewage waste heat recovery heating control method and system based on digital twinning

Abstract

The application discloses a sewage waste heat recovery heating control method and system based on digital twinning of a heat pump, and comprises the following steps: constructing a digital twinning platform of a sewage waste heat recovery heating system; based on the operating parameters of the entity equipment of the sewage waste heat recovery heating system, a digital twinning model of the sewage waste heat recovery heating system is established; the established digital twinning model of the sewage waste heat recovery heating system is deployed in the constructed digital twinning platform of the sewage waste heat recovery heating system; based on the operating parameters of the entity equipment of the sewage waste heat recovery heating system and the virtual data of the digital twinning model, an optimization target model of the sewage waste heat recovery heating system is constructed to obtain an optimal control strategy; the entity equipment of the heating system is dynamically optimized and controlled according to the optimal control strategy; the prediction accuracy is improved through real-time data calibration, model predictive control is fused, second-level response and multivariable collaborative regulation and control are realized, and the problems of low energy efficiency, slow response and high maintenance cost of the traditional sewage waste heat recovery heating system are effectively solved.

Description

Technical Field

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

[0002] As the global energy crisis and environmental pollution become increasingly severe, the efficient recovery and utilization of waste heat from sewage, as a low-grade renewable energy source, has attracted much attention.

[0003] Existing waste heat recovery heating systems primarily absorb waste heat from sewage through heat pump evaporators, compress it, and then heat it up before transferring it to the heating network. These systems are subject to drastic fluctuations in sewage parameters (flow rate, temperature, and suspended solids concentration), which can easily lead to unstable heat pump energy efficiency ratios (COPs). Furthermore, existing waste heat recovery heating systems lack real-time monitoring and predictive maintenance of equipment status (such as heat exchanger scaling), resulting in high operation and maintenance costs and delayed fault response. Furthermore, most waste heat recovery heating systems utilize preset, fixed operating parameters (such as compressor speed and valve opening), making them unable to respond to dynamic changes in the sewage heat source in real time. This can easily lead to energy waste and equipment loss, hindering the large-scale application of waste heat recovery. Summary of the Invention

[0004] In order to overcome the above-mentioned shortcomings of the prior art, the present invention provides a sewage waste heat recovery and heating control method and system based on digital twin heat pumps.

[0005] The technical solution adopted by the present invention to solve the technical problem is: a sewage waste heat recovery heating control method based on a digital twin heat pump, comprising:

[0006] Constructing a digital twin platform for the waste heat recovery heating system, which is used for two-way data exchange between the digital twin model of the waste heat recovery heating system and the physical equipment of the waste heat recovery heating system;

[0007] Based on the operating parameters of the physical equipment of the sewage heat recovery heating system, a digital twin model of the sewage heat recovery heating system is established;

[0008] Deploy the established digital twin model of the sewage waste heat recovery heating system in the constructed digital twin platform of the sewage waste heat recovery heating system;

[0009] Based on the operating parameters of the physical equipment of the wastewater heat recovery heating system and the virtual data of the digital twin model, an optimization target model of the wastewater heat recovery heating system is constructed to obtain the optimal control strategy;

[0010] Implement dynamic optimization control of the physical equipment of the heating system according to the optimal control strategy.

[0011] As a further improvement of the present invention: the physical equipment operating parameters of the sewage waste heat recovery and heating system and the virtual data of the digital twin model are used to construct an optimization target model of the sewage waste heat recovery and heating system to obtain the optimal control strategy, including: taking the maximization of the system comprehensive energy efficiency ratio of the sewage waste heat recovery and heating system as the core optimization goal, combining the sewage physical parameters, environmental parameters and heating load forecast data, and using the sewage waste heat recovery and heating system digital twin model to perform optimization calculations while ensuring that the user's heating needs are met.

[0012] As a further improvement of the present invention: the digital twin platform includes a physical device layer, a data capture layer, an intelligent computing layer, a communication transmission layer, and a decision control layer;

[0013] The physical equipment layer includes a sewage pool, a magnetic levitation heat pump unit, a heat exchange station, an optical fiber temperature sensor, a water pump unit, a flow meter, a turbidity meter and corresponding control equipment; the sewage pool is connected to the magnetic levitation heat pump unit, the magnetic levitation heat pump unit is connected to the heat exchange station, the connecting pipe between the sewage pool and the magnetic levitation heat pump unit is installed with a water pump unit, a flow meter, a turbidity meter and an optical fiber temperature sensor, and a water pump unit is installed between the magnetic levitation heat pump unit and the heat exchange station;

[0014] The data capture layer is used to monitor the operating parameters and working status of the physical device layer in real time, providing a data source for the digital twin model;

[0015] The intelligent computing layer is used to implement heterogeneous data integration, feature extraction and intelligent analysis, and provide data flow for the digital twin model;

[0016] The communication transmission layer adopts hybrid networking technology of wired network and wireless sensors to achieve low-latency information interaction between the physical device layer, data capture layer, intelligent computing layer and decision control layer, providing signal flow for the digital twin model;

[0017] The decision-making control layer relies on the digital twin model of the sewage waste heat recovery and heating system to compare the operating parameters and working status of the physical equipment layer with the simulation results, continuously calibrate the parameter accuracy of the digital twin model of the sewage waste heat recovery and heating system, and obtain the optimal control strategy that maximizes the system's comprehensive energy efficiency ratio (COP) based on the simulation results of the digital twin model of the sewage waste heat recovery and heating system, providing an instruction stream for the digital twin model.

[0018] As a further improvement of the present invention: establishing a digital twin model of the sewage waste heat recovery heating system, specifically including:

[0019] After mapping and reconstructing physical equipment in virtual space, a digital twin model of the wastewater heat recovery heating system was established. Real-time data synchronization between physical equipment and the virtual model was achieved through the OPC UA protocol to ensure that the model status was consistent with the actual system. Fiber optic temperature sensors were used to collect real-time sewage temperature.

[0020] Establish an energy efficiency model for the magnetic levitation heat pump unit of the sewage waste heat recovery heating system:

[0021]

[0022] Among them, COP is the comprehensive energy efficiency ratio of the system, N is the speed of the magnetic levitation heat pump compressor, η comp is the efficiency coefficient of the magnetic levitation heat pump compressor, N max is the maximum speed, T cond is the condensation temperature, T evap is the evaporation temperature.

[0023] As a further improvement of the present invention: establishing a digital twin model of the sewage waste heat recovery heating system further includes:

[0024] The turbidity meter is used to collect the suspended solids concentration of sewage in real time. The YOLOv5 algorithm is used to classify the suspended solids types (grease, fiber, sediment) in real time to build a scaling rate prediction model:

[0025]

[0026] Among them, R fouling is the scaling rate, C ss is the suspended matter concentration, v is the flow velocity, E a is the activation energy, T is the absolute temperature; k is the empirical coefficient, which is fitted by experimental data;

[0027] Constructing a magnetic levitation heat pump efficiency attenuation model:

[0028]

[0029] Among them, U0 is the heat transfer coefficient in the clean state, and t is the operating time; combined with the backwash frequency of the online cleaning system, the maintenance cycle is dynamically optimized.

[0030] As a further improvement of the present invention, establishing a digital twin model of the sewage waste heat recovery heating system further includes: accessing the API of the meteorological bureau to obtain temperature forecast data for the next 24 hours, combining it with the building thermal inertia model to predict the heating load demand curve, and establishing a nonlinear compensation function of air temperature-heat pump outlet water temperature, expressed as:

[0031] T supply =T base +α·(T out -Tdesign )

[0032] Among them, T supply is the dynamically adjusted water supply temperature, T base is the design water supply temperature, a is the compensation coefficient, T out is the real-time ambient temperature, T design is the design reference temperature.

[0033] As a further improvement of the present invention: the construction of the sewage waste heat recovery heating system optimization target model to obtain the optimal control strategy specifically includes:

[0034] Taking the maximization of the comprehensive energy efficiency ratio (COP) of the sewage waste heat recovery heating system as the core optimization goal, while taking into account the minimization of pipe network heat loss and the balance of equipment life, an objective function is constructed to perform dynamic optimization control of the sewage waste heat recovery heating system. The objective function is:

[0035] max(w1·COP-w2·Q loss -w3·ΣΔL deνvice )

[0036] Among them, the weight coefficients w1 = 0.6, w2 = 0.3, w3 = 0.1, Q loss is the heat loss of the pipe network, ΔL device is the equipment life attenuation index;

[0037] Based on the model predictive control algorithm, the real-time operation results of the digital twin model are obtained, the objective function is solved, and the optimal control strategy for maximizing the comprehensive energy efficiency ratio of the sewage waste heat recovery heating system is determined based on the solution results.

[0038] As a further improvement of the present invention: the dynamic optimization control of the physical equipment of the heating system according to the optimal control strategy includes: the dynamic optimization control of the physical equipment of the heating system according to the optimal control strategy, when the ambient temperature suddenly changes ΔT> 5℃ / 10min or the suspended matter concentration exceeds the standard C ss When the temperature is >2000NTU, the adaptive adjustment mode is triggered, automatically switching to the standby magnetic suspension heat pump and starting the backwash program.

[0039] The present invention also provides a sewage waste heat recovery heating control system based on a digital twin heat pump, comprising:

[0040] Digital twin platform construction module, building a digital twin platform for sewage waste heat recovery heating system;

[0041] A digital twin model building module is used to build a digital twin model of the sewage waste heat recovery heating system;

[0042] Deployment module, deploying the established digital twin model of the sewage waste heat recovery heating system in the constructed digital twin platform of the sewage waste heat recovery heating system;

[0043] The optimal control strategy construction module builds an optimization target model of the wastewater heat recovery heating system based on the physical equipment operating parameters of the wastewater heat recovery heating system and the virtual data of the digital twin model to obtain the optimal control strategy;

[0044] The dynamic optimization control module implements dynamic optimization control of the physical equipment of the heating system according to the optimal control strategy.

[0045] The present invention also provides a sewage waste heat recovery heating control system based on a digital twin heat pump, including a digital twin platform, wherein the digital twin platform includes a physical device layer, a data capture layer, an intelligent computing layer, a communication transmission layer, and a decision control layer;

[0046] The physical equipment layer includes a sewage pool, a magnetic levitation heat pump unit, a heat exchange station, an optical fiber temperature sensor, a water pump unit, a flow meter, a turbidity meter and corresponding control equipment; the sewage pool is connected to the magnetic levitation heat pump unit, the magnetic levitation heat pump unit is connected to the heat exchange station, the connecting pipe between the sewage pool and the magnetic levitation heat pump unit is installed with a water pump unit, a flow meter, a turbidity meter and an optical fiber temperature sensor, and a water pump unit is installed between the magnetic levitation heat pump unit and the heat exchange station;

[0047] The data capture layer is used to monitor the operating parameters and working status of the physical device layer in real time, providing a data source for the digital twin model;

[0048] The intelligent computing layer is used to implement heterogeneous data integration, feature extraction and intelligent analysis, and provide data flow for the digital twin model;

[0049] The communication transmission layer adopts hybrid networking technology of wired network and wireless sensors to achieve low-latency information interaction between the physical device layer, data capture layer, intelligent computing layer and decision control layer, providing signal flow for the digital twin model;

[0050] The decision-making control layer relies on the digital twin model of the sewage waste heat recovery and heating system to compare the operating parameters and working status of the physical equipment layer with the simulation results, continuously calibrate the parameter accuracy of the digital twin model of the sewage waste heat recovery and heating system, and obtain the optimal control strategy that maximizes the system's comprehensive energy efficiency ratio (COP) based on the simulation results of the digital twin model of the sewage waste heat recovery and heating system, providing an instruction stream for the digital twin model.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] 1. The present invention proposes a heat pump sewage waste heat recovery and heating control method and system based on digital twins. By constructing a digital twin platform and a digital twin model, and combining the operating parameters of the physical equipment of the sewage waste heat recovery and heating system and the virtual data of the digital twin model, an optimization target model of the sewage waste heat recovery and heating system is constructed to obtain the optimal control strategy. According to the optimal control strategy, dynamic optimization control is implemented on the physical equipment of the heating system, and the speed of the heat pump compressor, the flow rate of the circulating pump and the valve opening are dynamically adjusted to improve the comprehensive energy efficiency ratio of the system; the prediction accuracy is improved through real-time data calibration, and the model predictive control is integrated to achieve second-level response and multi-variable coordinated regulation, which effectively solves the problems of low energy efficiency, slow response and high maintenance cost of traditional sewage waste heat recovery and heating systems.

[0053] 2. This invention uses a turbidity meter to analyze suspended solids concentration in real time, establishes a scaling rate prediction model, and predicts the scaling rate of the magnetic levitation heat pump. This model, combined with the backwash frequency of the online cleaning system, optimizes the cleaning cycle. The magnetic levitation heat pump compressor uses IGBT DC frequency modulation technology combined with a PID algorithm to achieve precise speed control. By accessing the Meteorological Bureau's API to obtain temperature forecast data for the next 24 hours, the heating outlet water temperature can be dynamically adjusted. This invention can be widely applied to urban sewage treatment plants, industrial parks, and regional centralized heating projects, providing a standardized solution for the efficient utilization of low-grade energy.

[0054] 2. By establishing a nonlinear compensation function between air temperature and heat pump outlet temperature, this invention enables a wastewater waste heat recovery heating system to achieve both on-demand heating and energy-saving operation under complex climate conditions. By introducing a scaling rate prediction model, the scaling rate of the magnetic levitation heat pump is dynamically predicted based on wastewater composition, temperature, and flow rate, optimizing cleaning cycles and reducing equipment maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a flow chart of the sewage waste heat recovery and heating control method based on digital twin heat pump of the present invention.

[0056] Figure 2 This is a principle block diagram of the sewage waste heat recovery and heating control system based on digital twin heat pump of the present invention. DETAILED DESCRIPTION

[0057] In order to make the objectives, technical solutions and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and corresponding drawings.

[0058] See also Figure 1 , a sewage waste heat recovery heating control method based on digital twin heat pump includes:

[0059] Constructing a digital twin platform for the waste heat recovery heating system, which is used for two-way data exchange between the digital twin model of the waste heat recovery heating system and the physical equipment of the waste heat recovery heating system;

[0060] Based on the operating parameters of the physical equipment of the sewage heat recovery heating system, a digital twin model of the sewage heat recovery heating system is established;

[0061] Deploy the established digital twin model of the sewage waste heat recovery heating system in the constructed digital twin platform of the sewage waste heat recovery heating system;

[0062] Based on the operating parameters of the physical equipment of the wastewater heat recovery heating system and the virtual data of the digital twin model, an optimization target model of the wastewater heat recovery heating system is constructed to obtain the optimal control strategy;

[0063] Implement dynamic optimization control of the physical equipment of the heating system according to the optimal control strategy.

[0064] As an embodiment of the present invention, the physical equipment operating parameters of the sewage waste heat recovery and heating system and the virtual data of the digital twin model are used to construct an optimization target model of the sewage waste heat recovery and heating system to obtain the optimal control strategy, including: taking the maximization of the system comprehensive energy efficiency ratio of the sewage waste heat recovery and heating system as the core optimization goal, combining the sewage physical parameters, environmental parameters and heating load forecast data, and using the sewage waste heat recovery and heating system digital twin model to perform optimization calculations while ensuring that the user's heating needs are met.

[0065] As an embodiment of the present invention, the digital twin platform includes a physical device layer, a data capture layer, an intelligent computing layer, a communication transmission layer, and a decision control layer;

[0066] The physical equipment layer includes a sewage pool, a magnetic levitation heat pump unit, a heat exchange station, an optical fiber temperature sensor, a water pump unit, a flow meter, a turbidity meter and corresponding control equipment; the sewage pool is connected to the magnetic levitation heat pump unit, the magnetic levitation heat pump unit is connected to the heat exchange station, the connecting pipe between the sewage pool and the magnetic levitation heat pump unit is installed with a water pump unit, a flow meter, a turbidity meter and an optical fiber temperature sensor, and a water pump unit is installed between the magnetic levitation heat pump unit and the heat exchange station;

[0067] The data capture layer is used to monitor the operating parameters and working status of the physical device layer in real time, providing a data source for the digital twin model;

[0068] The intelligent computing layer is used to implement heterogeneous data integration, feature extraction and intelligent analysis, and provide data flow for the digital twin model;

[0069] The communication transmission layer adopts hybrid networking technology of wired network and wireless sensors to achieve low-latency information interaction between the physical device layer, data capture layer, intelligent computing layer and decision control layer, providing signal flow for the digital twin model;

[0070] The decision-making control layer relies on the digital twin model of the sewage waste heat recovery and heating system to compare the operating parameters and working status of the physical equipment layer with the simulation results, continuously calibrate the parameter accuracy of the digital twin model of the sewage waste heat recovery and heating system, and obtain the optimal control strategy that maximizes the system's comprehensive energy efficiency ratio (COP) based on the simulation results of the digital twin model of the sewage waste heat recovery and heating system, providing an instruction stream for the digital twin model.

[0071] As an embodiment of the present invention, a digital twin model of the sewage waste heat recovery heating system is established, specifically including:

[0072] (1) After mapping and reconstructing the physical equipment in the virtual space, a digital twin model of the sewage waste heat recovery heating system is established. The real-time data synchronization between the physical equipment and the virtual model is achieved through the OPC UA protocol to ensure that the model status is consistent with the actual system; the sewage temperature and suspended solids concentration are collected in real time through the fiber optic temperature sensor and turbidity meter;

[0073] (2) Use the YOLOv5 algorithm to classify the suspended matter types (grease, fiber, sediment) in real time and build a scaling rate prediction model:

[0074]

[0075] Among them, R fouling is the scaling rate, C ss is the suspended matter concentration, v is the flow velocity, E a is the activation energy, T is the absolute temperature; k is the empirical coefficient, which is fitted by experimental data;

[0076] In a specific application case, the parameters of a sewage system are:

[0077] C ss =1500mg / L, v=1.2m / s, T=318K, k=2.5×10 -5 , E a =60kJ / mol,

[0078] The scaling rate is:

[0079] R fouling =2.5×10 -5 1500 1.2 1.2 -0.8 ·e -60000 / (8.314·318) ≈0.15mm / year;

[0080] (3) Establish an energy efficiency model for the magnetic levitation heat pump unit of the sewage waste heat recovery heating system:

[0081]

[0082] Among them, COP is the comprehensive energy efficiency ratio of the system, N is the speed of the magnetic levitation heat pump compressor, η comp is the efficiency coefficient of the magnetic levitation heat pump compressor, N max is the maximum speed, T cond is the condensation temperature, T evap is the evaporation temperature;

[0083] (4) Magnetic levitation heat pump efficiency attenuation model:

[0084]

[0085] Where U0 is the heat transfer coefficient in the clean state, and t is the operating time. The maintenance cycle is dynamically optimized by combining the backwash frequency of the online cleaning system.

[0086] (5) Access the API of the Meteorological Bureau to obtain the temperature forecast data for the next 24 hours. Combined with the building thermal inertia model, the heating load demand curve is predicted and a nonlinear compensation function of air temperature-heat pump outlet water temperature is established. The expression is:

[0087] T supply =T base +α·(T out -T design )

[0088] Among them, T supply is the dynamically adjusted water supply temperature, T base is the design water supply temperature, a is the compensation coefficient, T out is the real-time ambient temperature, T design is the design reference temperature.

[0089] In another specific application case, the system parameters are:

[0090] T design =-10℃, T base =45℃, a=0.4℃ / ℃,

[0091] When T out =-15℃, then T supply =45+0.4·(-15-(-10))=43°C;

[0092] When T out =5℃, then T supply =45+0.4·(5-(-10))=51°C.

[0093] The magnetic suspension heat pump compressor of the present invention adopts IGBT direct current frequency modulation technology and combines it with PID algorithm to realize precise speed control.

[0094] The present invention establishes a nonlinear compensation function of air temperature-heat pump outlet water temperature, so that the sewage waste heat recovery heating system can achieve the dual goals of on-demand heating and energy-saving operation under complex climatic conditions.

[0095] The present invention introduces a scaling rate prediction model to dynamically predict the scaling rate of the magnetic levitation heat pump based on sewage composition, temperature and flow rate, and optimize the cleaning cycle.

[0096] As an embodiment of the present invention, the construction of an optimization target model for a sewage waste heat recovery heating system to obtain an optimal control strategy specifically includes:

[0097] (1) Taking the maximization of the system comprehensive energy efficiency ratio (COP) of the sewage waste heat recovery heating system as the core optimization goal, while taking into account the minimization of pipe network heat loss and the balance of equipment life, an objective function is constructed to perform dynamic optimization control of the sewage waste heat recovery heating system. The objective function is:

[0098] max(w1·COP-w2·Q loss -w3·ΣΔL device )

[0099] Among them, the weight coefficients w1 = 0.6, w2 = 0.3, w3 = 0.1, Q loss is the heat loss of the pipe network, ΔL device is the equipment life attenuation index;

[0100] (2) Based on the model predictive control (MPC) algorithm, the real-time operation results of the digital twin model are obtained, the objective function is solved, and the optimal control strategy for maximizing the system comprehensive energy efficiency ratio (COP) of the sewage waste heat recovery heating system is determined based on the solution results. According to the optimal control strategy, dynamic optimization control is implemented for the physical equipment of the heating system; the control variables within the next 15 minutes are continuously optimized, such as the speed of the magnetic levitation heat pump compressor, the flow rate of the circulating pump, and the valve opening, and the control instructions are updated every 30 seconds;

[0101] (3) When the ambient temperature suddenly changes ΔT>5℃ / 10min or the suspended matter concentration exceeds the standard C ss When the temperature is >2000NTU, the adaptive adjustment mode is triggered, automatically switching to the standby magnetic suspension heat pump and starting the backwash program.

[0102] In one embodiment of the present invention, the environmental parameters include real-time air temperature and user room temperature. The wastewater heat recovery heating system can access the Meteorological Bureau API to obtain real-time air temperature and the next 24-hour weather forecast, and combine this with user room temperature data to predict heating load demand. User room temperature data can be obtained via a ZigBee wireless thermostat.

[0103] As an embodiment of the present invention, a sewage waste heat recovery heating control method based on a digital twin heat pump includes the following steps:

[0104] Step S101: Real-time monitoring of wastewater thermodynamics and water quality parameters using optical fiber temperature sensors and turbidity meters;

[0105] Step S102: The digital twin model calculates the theoretical optimal COP of the current system and outputs cleaning recommendations for the magnetic levitation heat pump in combination with the scaling rate prediction model;

[0106] Step S103: Dynamic control execution: when the sewage temperature suddenly drops by 5°C, the magnetic levitation heat pump is started;

[0107] Step S104: Automatically control the magnetic levitation heat pump compressor speed, circulation pump flow rate and valve opening according to the COP optimal solution.

[0108] The present invention uses a turbidity meter to analyze the suspended matter concentration in real time, establishes a scaling rate prediction model, predicts the scaling rate of the magnetic levitation heat pump, and optimizes the cleaning cycle by combining the backwash frequency of the online cleaning system; the magnetic levitation heat pump compressor adopts IGBT DC frequency modulation technology combined with a PID algorithm to achieve precise speed control; by accessing the meteorological bureau's API to obtain temperature forecast data for the next 24 hours, the heating water outlet temperature can be dynamically adjusted; the present invention can be widely used in urban sewage treatment plants, industrial parks and regional centralized heating projects, providing a standardized solution for the efficient utilization of low-grade energy.

[0109] The present invention can increase the annual average COP from 3.1 to 4.2, improve the energy saving rate by 31%, reduce the unplanned downtime rate from 12% to 3%, and reduce the maintenance cost by 45%.

[0110] See also Figure 2 The present invention also provides a sewage waste heat recovery heating control system based on a digital twin heat pump, including:

[0111] Digital twin platform construction module, building a digital twin platform for sewage waste heat recovery heating system;

[0112] A digital twin model building module is used to build a digital twin model of the sewage waste heat recovery heating system;

[0113] Deployment module, deploying the established digital twin model of the sewage waste heat recovery heating system in the constructed digital twin platform of the sewage waste heat recovery heating system;

[0114] The optimal control strategy construction module builds an optimization target model of the wastewater heat recovery heating system based on the physical equipment operating parameters of the wastewater heat recovery heating system and the virtual data of the digital twin model to obtain the optimal control strategy;

[0115] And, the dynamic optimization control module implements dynamic optimization control on the physical equipment of the heating system according to the optimal control strategy.

[0116] As an embodiment of the present invention, a sewage waste heat recovery heating control system based on a digital twin heat pump further includes a digital twin platform, wherein the digital twin platform includes a physical device layer, a data capture layer, an intelligent computing layer, a communication transmission layer, and a decision control layer;

[0117] The physical equipment layer includes a sewage pool, a magnetic levitation heat pump unit, a heat exchange station, an optical fiber temperature sensor, a water pump unit, a flow meter, a turbidity meter and corresponding control equipment; the sewage pool is connected to the magnetic levitation heat pump unit, the magnetic levitation heat pump unit is connected to the heat exchange station, the connecting pipe between the sewage pool and the magnetic levitation heat pump unit is installed with a water pump unit, a flow meter, a turbidity meter and an optical fiber temperature sensor, and a water pump unit is installed between the magnetic levitation heat pump unit and the heat exchange station;

[0118] The data capture layer is used to monitor the operating parameters and working status of the physical device layer in real time, providing a data source for the digital twin model;

[0119] The intelligent computing layer is used to implement heterogeneous data integration, feature extraction and intelligent analysis, and provide data flow for the digital twin model;

[0120] The communication transmission layer adopts hybrid networking technology of wired network and wireless sensors to achieve low-latency information interaction between the physical device layer, data capture layer, intelligent computing layer and decision control layer, providing signal flow for the digital twin model;

[0121] The decision-making control layer relies on the digital twin model of the sewage waste heat recovery and heating system to compare the operating parameters and working status of the physical equipment layer with the simulation results, continuously calibrate the parameter accuracy of the digital twin model of the sewage waste heat recovery and heating system, and obtain the optimal control strategy that maximizes the system's comprehensive energy efficiency ratio (COP) based on the simulation results of the digital twin model of the sewage waste heat recovery and heating system, providing an instruction stream for the digital twin model.

[0122] The main functions of the present invention are:

[0123] The present invention proposes a heat pump sewage waste heat recovery and heating control method and system based on digital twins. By constructing a digital twin platform and a digital twin model, and combining the operating parameters of the physical equipment of the sewage waste heat recovery and heating system and the virtual data of the digital twin model, an optimization target model of the sewage waste heat recovery and heating system is constructed to obtain the optimal control strategy, and dynamic optimization control is implemented on the physical equipment of the heating system according to the optimal control strategy; the prediction accuracy is improved through real-time data calibration, and the model prediction control is integrated to achieve second-level response and multi-variable coordinated regulation, effectively solving the problems of low energy efficiency, slow response and high maintenance cost of traditional sewage waste heat recovery and heating systems.

[0124] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A heat pump waste heat recovery and heating control method based on digital twins, characterized by: include: Constructing a digital twin platform for the waste heat recovery heating system, which is used for two-way data exchange between the digital twin model of the waste heat recovery heating system and the physical equipment of the waste heat recovery heating system; Based on the operating parameters of the physical equipment of the sewage heat recovery heating system, a digital twin model of the sewage heat recovery heating system is established; Deploy the established digital twin model of the sewage waste heat recovery heating system in the constructed digital twin platform of the sewage waste heat recovery heating system; Based on the operating parameters of the physical equipment of the wastewater heat recovery heating system and the virtual data of the digital twin model, an optimization target model of the wastewater heat recovery heating system is constructed to obtain the optimal control strategy; Implement dynamic optimization control on the physical equipment of the heating system according to the optimal control strategy; Establishing a digital twin model of the sewage waste heat recovery heating system, specifically including: After mapping and reconstructing physical equipment in virtual space, a digital twin model of the wastewater heat recovery heating system was established. Real-time data synchronization between physical equipment and the virtual model was achieved through the OPC UA protocol to ensure that the model status was consistent with the actual system. Fiber optic temperature sensors were used to collect real-time sewage temperature. Establish an energy efficiency model for the magnetic levitation heat pump unit of the sewage waste heat recovery heating system: Among them, COP is the comprehensive energy efficiency ratio of the system, N is the speed of the magnetic levitation heat pump compressor, η comp is the efficiency coefficient of the magnetic levitation heat pump compressor, N max is the maximum speed, T cond is the condensation temperature, T evap is the evaporation temperature; Establishing a digital twin model of the sewage waste heat recovery heating system also includes: The turbidity meter is used to collect the suspended solids concentration of sewage in real time. The YOLOv5 algorithm is used to classify the suspended solids into grease, fiber, and sediment in real time, and a scaling rate prediction model is constructed: Among them, R fouling is the scaling rate, C ss is the suspended matter concentration, v is the flow velocity, E a is the activation energy, T is the absolute temperature; k is the empirical coefficient, which is fitted by experimental data; Constructing a magnetic levitation heat pump efficiency attenuation model: Where U0 is the heat transfer coefficient in the clean state, and t is the operating time. The maintenance cycle is dynamically optimized by combining the backwash frequency of the online cleaning system. Establishing a digital twin model of the waste heat recovery heating system also includes: accessing the Meteorological Bureau API to obtain temperature forecast data for the next 24 hours, combining it with the building thermal inertia model to predict the heating load demand curve, and establishing a nonlinear compensation function for air temperature-heat pump outlet water temperature, expressed as: T supply =T base +α·(T out -T design ) Among them, T supply is the dynamically adjusted water supply temperature, T base is the design water supply temperature, a is the compensation coefficient, T out is the real-time ambient temperature, T design is the design reference temperature.

2. The sewage waste heat recovery and heating control method based on digital twin heat pump according to claim 1 is characterized by: Based on the physical equipment operating parameters of the sewage waste heat recovery heating system and the virtual data of the digital twin model, an optimization target model of the sewage waste heat recovery heating system is constructed to obtain the optimal control strategy, including: taking the maximization of the system comprehensive energy efficiency ratio of the sewage waste heat recovery heating system as the core optimization goal, combining the sewage physical parameters, environmental parameters and heating load forecast data, and using the sewage waste heat recovery heating system digital twin model to perform optimization calculations while ensuring that the user's heating needs are met.

3. The sewage waste heat recovery heating control method based on digital twin heat pump according to claim 1 is characterized by: The digital twin platform includes a physical device layer, a data capture layer, an intelligent computing layer, a communication transmission layer, and a decision control layer; The physical equipment layer includes a sewage pool, a magnetic levitation heat pump unit, a heat exchange station, an optical fiber temperature sensor, a water pump unit, a flow meter, a turbidity meter and corresponding control equipment; the sewage pool is connected to the magnetic levitation heat pump unit, the magnetic levitation heat pump unit is connected to the heat exchange station, the connecting pipe between the sewage pool and the magnetic levitation heat pump unit is installed with a water pump unit, a flow meter, a turbidity meter and an optical fiber temperature sensor, and a water pump unit is installed between the magnetic levitation heat pump unit and the heat exchange station; The data capture layer is used to monitor the operating parameters and working status of the physical device layer in real time, providing a data source for the digital twin model; The intelligent computing layer is used to implement heterogeneous data integration, feature extraction and intelligent analysis, and provide data flow for the digital twin model; The communication transmission layer adopts hybrid networking technology of wired network and wireless sensors to achieve low-latency information interaction between the physical device layer, data capture layer, intelligent computing layer and decision control layer, providing signal flow for the digital twin model; The decision-making control layer relies on the digital twin model of the sewage waste heat recovery and heating system to compare the operating parameters and working status of the physical equipment layer with the simulation results, continuously calibrate the parameter accuracy of the digital twin model of the sewage waste heat recovery and heating system, and obtain the optimal control strategy that maximizes the system's comprehensive energy efficiency ratio (COP) based on the simulation results of the digital twin model of the sewage waste heat recovery and heating system, providing an instruction stream for the digital twin model.

4. The sewage waste heat recovery heating control method based on digital twin heat pump according to claim 1 is characterized by: The construction of the sewage waste heat recovery heating system optimization target model to obtain the optimal control strategy specifically includes: Taking the maximization of the comprehensive energy efficiency ratio (COP) of the sewage waste heat recovery heating system as the core optimization goal, while taking into account the minimization of heat loss in the pipe network and the balance of equipment life, an objective function is constructed to perform dynamic optimization control of the sewage waste heat recovery heating system. The objective function is: max(w1·COP-w2·Q loss -w3·∑ΔL device ) Among them, the weight coefficients w1 = 0.6, w2 = 0.3, w3 = 0.1, Q loss is the heat loss of the pipe network, ΔL device is the equipment life attenuation index; Based on the model predictive control algorithm, the real-time operation results of the digital twin model are obtained, the objective function is solved, and the optimal control strategy for maximizing the comprehensive energy efficiency ratio of the sewage waste heat recovery heating system is determined based on the solution results.

5. The sewage waste heat recovery heating control method based on digital twin heat pump according to claim 4 is characterized by: The dynamic optimization control of the physical equipment of the heating system according to the optimal control strategy includes: implementing dynamic optimization control of the physical equipment of the heating system according to the optimal control strategy, when the ambient temperature suddenly changes ΔT>5℃ / 10min or the suspended matter concentration exceeds the standard C ss When the temperature is >2000NTU, the adaptive adjustment mode is triggered, automatically switching to the standby magnetic suspension heat pump and starting the backwash program.

6. A sewage waste heat recovery heating control system based on a digital twin heat pump, characterized by: A method for controlling waste heat recovery and heating of a heat pump using a digital twin as claimed in any one of claims 1 to 5, comprising: Digital twin platform construction module, building a digital twin platform for sewage waste heat recovery heating system; A digital twin model building module is used to build a digital twin model of the sewage waste heat recovery heating system; Deployment module, deploying the established digital twin model of the sewage waste heat recovery heating system in the constructed digital twin platform of the sewage waste heat recovery heating system; The optimal control strategy construction module builds an optimization target model of the wastewater heat recovery heating system based on the physical equipment operating parameters of the wastewater heat recovery heating system and the virtual data of the digital twin model to obtain the optimal control strategy; The dynamic optimization control module implements dynamic optimization control of the physical equipment of the heating system according to the optimal control strategy.

7. The sewage waste heat recovery and heating control system based on digital twin heat pump according to claim 6 is characterized by: The digital twin platform includes a physical device layer, a data capture layer, an intelligent computing layer, a communication transmission layer, and a decision control layer; The physical equipment layer includes a sewage pool, a magnetic levitation heat pump unit, a heat exchange station, an optical fiber temperature sensor, a water pump unit, a flow meter, a turbidity meter and corresponding control equipment; the sewage pool is connected to the magnetic levitation heat pump unit, the magnetic levitation heat pump unit is connected to the heat exchange station, the connecting pipe between the sewage pool and the magnetic levitation heat pump unit is installed with a water pump unit, a flow meter, a turbidity meter and an optical fiber temperature sensor, and a water pump unit is installed between the magnetic levitation heat pump unit and the heat exchange station; The data capture layer is used to monitor the operating parameters and working status of the physical device layer in real time, providing a data source for the digital twin model; The intelligent computing layer is used to implement heterogeneous data integration, feature extraction and intelligent analysis, and provide data flow for the digital twin model; The communication transmission layer adopts hybrid networking technology of wired network and wireless sensors to achieve low-latency information interaction between the physical device layer, data capture layer, intelligent computing layer and decision control layer, providing signal flow for the digital twin model; The decision-making control layer relies on the digital twin model of the sewage waste heat recovery and heating system to compare the operating parameters and working status of the physical equipment layer with the simulation results, continuously calibrate the parameter accuracy of the digital twin model of the sewage waste heat recovery and heating system, and obtain the optimal control strategy that maximizes the system's comprehensive energy efficiency ratio (COP) based on the simulation results of the digital twin model of the sewage waste heat recovery and heating system, providing an instruction stream for the digital twin model.

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