Intelligent control method, device, terminal equipment and medium for waste heat unit

Abstract

The present application discloses an intelligent control method, device, terminal equipment and medium for a waste heat unit, and the present application belongs to the technical field of a combined system of heating and cooling. The method includes: obtaining the oil temperature parameters and water circulation parameters of the waste heat unit; collecting the operating status parameters of the air compressor; inputting the oil temperature parameters, water circulation parameters and air compressor operating status parameters into the waste heat unit control model, and combining the air compressor operating status parameters to predict the change of the outlet water temperature in the water circulation parameters; based on the predicted results of the outlet water temperature change, generating a water circulation control instruction for the purpose of keeping the outlet water temperature constant, and controlling the water circulation speed; using the temperature data and water circulation parameters collected by the temperature sensor in the waste heat unit, a digital twin model is established for dynamic display. This solution achieves the purpose of precise control of the outlet water temperature, improves energy utilization efficiency, and ensures that the output high-temperature water has sufficient stability as a heat source provided to the lithium bromide unit.

Description

Technical Field

[0001] The present application belongs to the technical field of combined heating and cooling systems, and specifically relates to an intelligent control method, device, terminal equipment and medium for a waste heat unit. Background Art

[0002] At present, with the increasing demand for industrial production, the heat generated in industrial production needs to be recycled. Lithium bromide units can be applied to heat recovery to form a combined system of heat recovery and refrigeration because they can achieve the purpose of refrigeration based on hot water and meet the use requirements of industrial production, life, etc. for cold water. After heat recovery, the hot water formed can be provided to the lithium bromide refrigeration unit to provide a heat source for the refrigeration of the lithium bromide refrigeration unit. However, the current heat recovery process does not have a better control method, which makes the heat source input of the lithium bromide unit unstable. Therefore, how to accurately control heat recovery is a technical problem that needs to be solved in this field. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to provide an intelligent control method, apparatus, terminal device, and medium for a waste heat unit, aiming to address issues such as unstable and unsuitable output water temperature caused by the inability to properly control the waste heat unit. By controlling the water circulation parameters of the waste heat unit, this solution can achieve precise control of the outlet water temperature, improve energy utilization efficiency, and ensure that the output high-temperature water, which serves as a heat source for the lithium bromide unit, is sufficiently stable.

[0004] In a first aspect, an embodiment of the present application provides an intelligent control method for a waste heat unit, the method comprising:

[0005] Obtaining the oil temperature parameters and water circulation parameters of the waste heat unit; wherein the oil temperature parameters include the oil inlet temperature and the oil outlet temperature, and the water circulation parameters include the water circulation speed and the water outlet temperature;

[0006] Collect air compressor operating status parameters;

[0007] Inputting the oil temperature parameter, the water circulation parameter, and the air compressor operating state parameter into the waste heat unit control model, so that the waste heat unit control model combines the air compressor operating state parameter to predict the change of the outlet water temperature in the water circulation parameter;

[0008] Using the waste heat unit control model to predict the change in outlet water temperature, a water circulation control instruction is generated with the goal of maintaining a constant outlet water temperature, thereby controlling the water circulation speed;

[0009] A digital twin model is established using the temperature data collected by the temperature sensor in the waste heat unit and the water circulation parameters, and is dynamically displayed on a terminal device.

[0010] Furthermore, the method further comprises:

[0011] When an operation instruction is received through the terminal device, the change parameter corresponding to the operation instruction is input into the waste heat unit control model, so as to output result estimation data of the current operation instruction based on the waste heat unit control model;

[0012] Display estimated result data for the user to confirm the operation instruction;

[0013] After receiving the confirmation operation, the operation instruction is executed to control the parameters of the waste heat unit.

[0014] Furthermore, the method further comprises:

[0015] Obtaining the water inlet temperature of the water cycle and integrating it into the water cycle parameters;

[0016] Accordingly, the waste heat unit control model is used to generate a water circulation control instruction based on the prediction result of the outlet water temperature change with the purpose of maintaining the outlet water temperature constant, and the water circulation speed is controlled, including:

[0017] The waste heat unit control model is used to generate water circulation control instructions based on the prediction result of the outlet water temperature change with the purpose of keeping the outlet water temperature constant, and the water circulation speed and / or the inlet water temperature are controlled.

[0018] Furthermore, the method further comprises:

[0019] Taking the water circulation speed and the inlet water temperature as control variables, determining a sensitivity tensor of the outlet water temperature to the control variables;

[0020] Accordingly, the waste heat unit control model is used to generate water circulation control instructions based on the prediction result of the outlet water temperature change with the purpose of maintaining the outlet water temperature constant, and the water circulation speed and / or the inlet water temperature are controlled, including:

[0021] The waste heat unit control model is used to generate water circulation control instructions based on the outlet water temperature change prediction result and the sensitivity tensor with the purpose of keeping the outlet water temperature constant, and the water circulation speed and / or inlet water temperature are controlled.

[0022] Furthermore, the method further comprises:

[0023] Obtaining connection relationship information and internal pipeline distribution information of the waste heat unit;

[0024] Constructing a fluid dynamics model of each cooling tower in the waste heat unit based on the connection relationship information and the internal pipeline distribution information;

[0025] Accordingly, a digital twin model is established based on the temperature data collected by the temperature sensor in the waste heat unit and the water circulation parameters, and is dynamically displayed on the terminal device, including:

[0026] A digital twin model is established using the temperature data collected by the temperature sensor in the waste heat unit, the water circulation parameters, and the fluid dynamics model, and is dynamically displayed on a terminal device.

[0027] Furthermore, in the terminal device, a flow arrow is generated, the rotation speed of the flow arrow is determined according to the water circulation speed, and the display position of the flow arrow is determined according to the fluid dynamics model.

[0028] Furthermore, the waste heat unit control model is used to generate a water circulation control instruction based on the prediction result of the outlet water temperature change with the purpose of maintaining the outlet water temperature constant, and the water circulation speed is controlled, including:

[0029] The waste heat unit control model is used to generate water circulation control instructions based on the outlet water temperature change prediction result and the fluid dynamics model with the purpose of keeping the outlet water temperature constant, and the water circulation speed is controlled.

[0030] In a second aspect, an embodiment of the present application provides an intelligent control device for a waste heat unit, the device comprising:

[0031] A parameter acquisition module is used to obtain the oil temperature parameters and water circulation parameters of the waste heat unit; wherein the oil temperature parameters include the oil inlet temperature and the oil outlet temperature, and the water circulation parameters include the water circulation speed and the outlet water temperature;

[0032] Operation status parameter acquisition module, used to collect the operation status parameters of the air compressor;

[0033] a prediction module, configured to input the oil temperature parameter, the water circulation parameter, and the air compressor operating state parameter into a waste heat unit control model, so that the waste heat unit control model, in combination with the air compressor operating state parameter, predicts changes in the outlet water temperature in the water circulation parameter;

[0034] A water circulation control module is used to generate water circulation control instructions based on the prediction result of the outlet water temperature change using the waste heat unit control model to control the water circulation speed with the purpose of maintaining the outlet water temperature constant;

[0035] The dynamic display module is used to establish a digital twin model through the temperature data collected by the temperature sensor in the waste heat unit and the water circulation parameters, and dynamically display them on the terminal device.

[0036] In a third aspect, an embodiment of the present application provides a terminal device comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0037] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0038] In a fifth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the method described in the first aspect.

[0039] In an embodiment of the present application, the oil temperature parameters and water circulation parameters of the waste heat unit are obtained; wherein, the oil temperature parameters include the oil inlet temperature and the oil outlet temperature, and the water circulation parameters include the water circulation speed and the outlet water temperature; the air compressor operating state parameters are collected; the oil temperature parameters, the water circulation parameters and the air compressor operating state parameters are input into the waste heat unit control model, and the waste heat unit control model combines the air compressor operating state parameters to predict the change of the outlet water temperature in the water circulation parameters; the waste heat unit control model is used to generate water circulation control instructions based on the outlet water temperature change prediction results with the purpose of keeping the outlet water temperature constant, and control the water circulation speed; a digital twin model is established based on the temperature data and the water circulation parameters collected by the temperature sensor in the waste heat unit, and dynamically displayed on the terminal device. The above technical solution, by controlling the water circulation parameters of the waste heat unit, can achieve the purpose of accurately controlling the outlet water temperature, improve the energy utilization efficiency, and ensure that the output high-temperature water has sufficient stability as a heat source provided to the lithium bromide unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of the intelligent control method for the waste heat unit provided in Example 1 of the present application;

[0041] Figure 2 This is a flow chart of the intelligent control method for the waste heat unit provided in the second embodiment of the present application;

[0042] Figure 3 This is a structural diagram of the intelligent control device for the waste heat unit provided in Example 3 of the present application;

[0043] Figure 4 This is a schematic diagram of the structure of the cleaning equipment provided in Example 4 of the present application. DETAILED DESCRIPTION

[0044] To further clarify the objectives, technical solutions, and advantages of this application, specific embodiments of the present application are described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are intended only to illustrate this application and are not intended to limit it. It should also be noted that, for ease of description, the drawings only illustrate portions relevant to this application, not all of them. Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts depict the various operations (or steps) as sequential processes, many of the operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process may terminate upon completion of its operations, but may also include additional steps not shown in the accompanying drawings. The process may correspond to a method, function, procedure, subroutine, subprogram, and the like.

[0045] The following will be combined with the accompanying drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0046] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0047] During operation, the air compressor generates a large amount of waste heat from the lubricating oil. To maintain normal operation of the air compressor, the temperature of the lubricating oil needs to be maintained at a working temperature of 50-55°C, and it needs to be cooled by a cooling tower. If the cooling tower cannot be accurately controlled, it will not only waste the heat energy of the air compressor, but also increase the loss of electricity and waste water resources. The air compressor waste heat recovery unit is a device that recycles the waste heat of the air compressor. When the air compressor is working, part of the input electrical energy is converted into the potential energy of the compressed air, while the other part of the energy is converted into heat. The air compressor waste heat recovery unit can draw out the high-temperature oil, and then draw out the heat in the oil through heat exchange. This part of the heat is used to heat water, which is reused to provide hot water to the lithium bromide unit as a heat source.

[0048] However, current waste heat units operate according to fixed procedures and lack intelligent adjustments, resulting in unstable output water temperatures. Furthermore, if the compressor lubricating oil temperature is too high, additional heat dissipation from the cooling tower is required. If this fails to dissipate heat effectively, not only will the heat not be completely dissipated, but the water in the cooling tower will not be effectively utilized, effectively wasting energy. Therefore, precisely controlling the water temperature of waste heat units and producing a more efficient and stable heat source is a pressing technical challenge in this field.

[0049] The intelligent control method, device, terminal equipment and medium of the waste heat unit provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings through specific embodiments and their application scenarios.

[0050] Example 1

[0051] Figure 1 This is a flow chart of the intelligent control method for the waste heat unit provided in Example 1 of this application. Figure 1 As shown, the specific steps include:

[0052] S101, obtaining oil temperature parameters and water circulation parameters of the waste heat unit; wherein the oil temperature parameters include oil inlet temperature and oil outlet temperature, and the water circulation parameters include water circulation speed and water outlet temperature;

[0053] First, this application is applicable to the scenario of waste heat unit control. Based on the above usage scenario, it can be understood that the execution subject of this application can be the waste heat unit control system, or the terminal device that performs the control operation.

[0054] Among them, waste heat units (HRSs) are devices that recover waste heat generated during industrial production and convert it into useful energy. The form and operating principle of HRSs vary across different industrial scenarios. For example, in a steel plant, a HRS can recover heat from high-temperature exhaust gases generated during blast furnace ironmaking; in a chemical plant, it might recover waste heat released during chemical reactions.

[0055] Oil temperature parameters relate to the temperature of the oil in the waste heat unit, specifically the oil inlet temperature and oil outlet temperature. The oil inlet temperature refers to the temperature of the oil upon entering the waste heat unit, while the oil outlet temperature refers to the temperature of the oil upon leaving the unit. These two temperatures reflect the heat exchange of the oil within the unit. High-precision non-contact infrared temperature sensors can be used to measure these temperatures. These sensors offer a fast response and avoid direct contact with the oil, reducing the risk of contamination.

[0056] Water circulation parameters can be parameters related to the water circulation system in the waste heat unit, including water circulation speed and outlet water temperature. Water circulation speed refers to the speed at which water flows through the circulation system, which affects the heat exchange efficiency between water and oil. Outlet water temperature refers to the temperature of the water when it flows out of the water circulation system.

[0057] Water circulation speed, the distance or volume that water flows per unit time in the circulation system, can be controlled by the switch size of the water inlet valve, and can also be measured using an ultrasonic Doppler flowmeter.

[0058] This solution collects relevant parameter information through various sensors and measuring devices. For oil temperature parameters, infrared temperature sensors are used to obtain the inlet and outlet oil temperatures. For water circulation parameters, the water circulation speed can be determined by identifying the open and close position of the water inlet valve, and a high-precision temperature sensor can be used to identify the outlet water temperature.

[0059] S102, collecting air compressor operating status parameters;

[0060] An air compressor, also known as an air compressor, is a device that converts the mechanical energy of an electric motor into gas pressure energy. It is widely used in industrial production to provide compressed air. Air compressor operating parameters reflect various parameters of the compressor's operating status, such as speed, power, pressure ratio, and exhaust volume. Speed represents the compressor's rotational speed, power reflects the electrical energy consumed, pressure ratio is the ratio of intake pressure to exhaust pressure, and exhaust volume is the volume of gas discharged per unit time.

[0061] This solution can more reasonably control the waste heat unit through the operating status parameters of the air compressor. For example, if the current operating status of the air compressor is high-load operation, it is necessary to control the water circulation parameters, such as adjusting the water circulation speed to the maximum, to achieve the absorption of the heat of the air compressor and to keep the outlet water temperature of the waste heat unit fixed.

[0062] S103, inputting the oil temperature parameter, the water circulation parameter, and the air compressor operating state parameter into a waste heat unit control model, so that the waste heat unit control model, in combination with the air compressor operating state parameter, predicts changes in the outlet water temperature in the water circulation parameter;

[0063] The waste heat unit control model can be built based on mathematical algorithms and machine learning techniques to predict and control the unit's operation. In this solution, deep learning algorithms, such as long-short-term memory (LSTM) networks, can be combined with reinforcement learning mechanisms. By learning from a large amount of historical operating data, this model can grasp the complex relationships between oil temperature parameters, water circulation parameters, and air compressor operating status parameters, thereby predicting changes in outlet water temperature. The LSTM network processes time series data and learns the temporal patterns and relationships between these parameters. Reinforcement learning optimizes the control strategy based on system operational objectives, such as maintaining a constant outlet water temperature, through trial and error and a reward mechanism. Furthermore, the waste heat unit control model incorporates principles and formulas from related disciplines such as thermodynamics and fluid mechanics to accurately describe the heat exchange and energy conversion processes within the waste heat unit.

[0064] The waste heat unit control model uses current input parameters such as oil temperature, water circulation parameters, and air compressor operating status parameters, combined with the model's internal algorithms and learned knowledge, to estimate possible changes in outlet water temperature over the next period of time. The prediction results include the outlet water temperature trend (increasing, decreasing, or remaining stable), as well as the magnitude of the change, providing a basis for subsequent control decisions.

[0065] This solution can input the collected oil temperature parameters, water circulation parameters, and air compressor operating status parameters as data into the waste heat unit control model, providing a basis for the model's calculations and predictions. When predicting changes in the outlet water temperature, the waste heat unit control model will comprehensively consider the impact of the air compressor operating status parameters on the water temperature. For example, when the power of the air compressor increases, more heat may be generated, which will affect the heat exchange process of the waste heat unit and, in turn, the outlet water temperature. Based on the input parameters, the waste heat unit control model uses its internal algorithms and learned rules to estimate the changes in the outlet water temperature in the water circulation parameters over a period of time in the future.

[0066] S104, using the waste heat unit control model to generate a water circulation control instruction based on the prediction result of the outlet water temperature change, with the goal of maintaining a constant outlet water temperature, and controlling the water circulation speed;

[0067] Water circulation control instructions can be a series of control signals generated by the waste heat unit control model based on the predicted results of water outlet temperature changes. They are used to guide the operation of the actuators in the water circulation system. These instructions include specific requirements for adjusting the water circulation speed. For example, the instruction may require the water circulation speed to be increased by a certain percentage or reduced to a specific value. They may also involve operating instructions for other related equipment, such as adjusting valve openings and starting and stopping water pumps, to achieve precise control of the water circulation system.

[0068] Maintaining a constant outlet water temperature means setting a target outlet water temperature as the control objective for the waste heat unit's operation. During actual operation, the outlet water temperature is maintained as stable as possible near this target value through control measures such as adjusting the water circulation rate. A certain fluctuation range is permitted. For example, if the control target is 80°C, the fluctuation range can be set to ±1°C based on actual needs. Maintaining a constant outlet water temperature helps improve the operating efficiency and stability of the waste heat unit and meet the water temperature requirements of subsequent production processes.

[0069] This solution utilizes the waste heat unit control model, its predicted results for outlet water temperature variations, and its internal control algorithm to generate and calculate control instructions. Based on the current system state, the predicted temperature trend, and the goal of maintaining a constant outlet water temperature, the model evaluates the effectiveness of different control strategies and selects the optimal control scheme. Based on the analysis of the outlet water temperature prediction results and pre-defined control rules and algorithms, the waste heat unit control model calculates the water circulation control instructions required to maintain a constant outlet water temperature. These instructions are then sent to the actuator controllers of the water circulation system. Upon receiving the water circulation control instructions, the actuators in the water circulation system, such as high-precision variable-frequency water pumps and electric control valves, adjust their operating conditions accordingly. For example, the variable-frequency water pump adjusts its motor speed according to the instructions, thereby changing the water circulation speed; the electric control valve adjusts its valve opening to control the water flow rate. These precise operations control the water circulation speed and, in turn, regulate the outlet water temperature to a constant value.

[0070] S105, establishing a digital twin model through the temperature data collected by the temperature sensor in the waste heat unit and the water circulation parameters, and dynamically displaying it on the terminal device.

[0071] The digital twin model can be a digital, virtual representation of the waste heat unit and its water circulation system. It collects real-time temperature data from temperature sensors and water circulation parameters such as speed and temperature. Using advanced 3D modeling software such as Unity 3D and Unreal Engine, and leveraging data processing techniques, it constructs a virtual model that is highly consistent with the actual physical system. This model not only matches the actual equipment in terms of geometry but also reflects real-time information such as the equipment's operating status, temperature distribution, and energy flow.

[0072] Terminal devices are devices used by users to interact with digital twin models, including but not limited to computers, tablets, smartphones, and industrial touch screens. These devices connect to the digital twin model server via a network, receiving and displaying real-time data and dynamic images from the model. Users can use these devices to view the operating status of the waste heat unit, set parameters, and perform control operations.

[0073] This solution first uses 3D modeling software to accurately model the physical structure of the waste heat unit, including its exterior shape, internal piping layout, and heat exchange components. Temperature data collected by temperature sensors and real-time data such as water circulation parameters are then correlated and mapped with the 3D model. Data fusion technology integrates data from various sources to construct a digital twin model that reflects the equipment's operating status in real time. During the model development process, the model must be calibrated and verified to ensure accuracy. This solution uses various temperature sensors at a preset sampling frequency to monitor temperature changes at different locations within the waste heat unit in real time, converting the temperature signals into a transmittable and processable data format. This data is transmitted via wired or wireless data transmission to a data acquisition and processing system, providing the latest temperature information for updating and analyzing the digital twin model. The digital twin server transmits the processed model data and real-time operating information to the terminal device via the network. The terminal device uses graphics rendering technology to present the digital twin model to the user in the form of intuitive 3D images or charts. Users can interact with the terminal device, such as zooming in and out on the model, viewing temperature data at different locations, and understanding the equipment's operating status and performance indicators.

[0074] In this embodiment, it should be additionally explained that if the waste heat unit can be precisely controlled so that it can effectively absorb the temperature of the lubricating oil of the air compressor, it will not only ensure the normal operation of the air compressor, but also increase the output of hot water. For example, if the original output of hot water per unit time is 4 tons, after precise control, the output of hot water can be increased from the original 4 tons to 6 tons or more. This can also improve the utilization rate of energy from another perspective, provide more applicable scenarios for the use of the produced hot water, achieve better energy conversion, and provide convenience for people's lives.

[0075] This technical solution achieves precise control of the outlet water temperature by accurately acquiring the waste heat unit's oil temperature parameters, water circulation parameters, and air compressor operating status parameters, and utilizing advanced waste heat unit control models for in-depth analysis and prediction. The control model, which combines deep learning with reinforcement learning, can adapt to complex and changing operating conditions and dynamically adjust control strategies. At the same time, the digital twin model built based on real-time data provides users with an intuitive and comprehensive display of the equipment's operating status, facilitating real-time monitoring and management. Through these technical means, the energy utilization efficiency of the waste heat unit is improved, the stability of the outlet water temperature is ensured, equipment failures and maintenance costs are reduced, and the intelligence level of the system is enhanced.

[0076] In one embodiment, optionally, the method further includes:

[0077] When an operation instruction is received through the terminal device, the change parameter corresponding to the operation instruction is input into the waste heat unit control model, so as to output result estimation data of the current operation instruction based on the waste heat unit control model;

[0078] Display estimated result data for the user to confirm the operation instruction;

[0079] After receiving the confirmation operation, the operation instruction is executed to control the parameters of the waste heat unit.

[0080] Operational instructions are commands sent by users to the waste heat unit control system via a terminal device to change the device's operating status or parameters. These instructions can include adjusting the water circulation rate, switching the waste heat recovery device's operating mode, resetting the oil temperature control range, and so on. For example, a user might wish to increase the water circulation rate by 20%. These requests are input into the system via the terminal device in the form of operational instructions.

[0081] The variable parameter is the parameter that needs to be adjusted in the waste heat unit control model in response to the operating instruction. For example, if the operating instruction is to increase the water circulation speed, the variable parameter is the specific change in the water circulation speed, such as a 20% increase.

[0082] The predicted results data can be output by the waste heat unit control model based on input variable parameters and the current system operating status, such as oil temperature, water circulation parameters, and air compressor operating status parameters. This is calculated and simulated using internal algorithms and models to predict the possible consequences of executing an operation instruction. The predicted results data can include information such as the trend of the outlet water temperature, changes in energy consumption, and changes in equipment operating efficiency. For example, if the water circulation speed is predicted to increase by 20%, the outlet water temperature will drop by 8°C over the next 10 minutes, while energy consumption will increase by 5%.

[0083] A confirmation operation is a user's explicit decision on whether to execute an operation after reviewing the estimated results. If the user believes the estimated results meet expectations and is comfortable with the potential consequences of the operation, they will confirm the operation through their terminal device, informing the system that the operation can proceed. Conversely, if the user believes the estimated results do not meet expectations, they may modify the operation or abandon the operation.

[0084] In this solution, the terminal device monitors user input in real time. When the user issues an operation command through the terminal device's user interface, the terminal device accurately recognizes and captures the command information. The corresponding change parameters are then transmitted to the waste heat unit control model. Specifically, the operation command is parsed to extract the change parameters, which are then input into the model according to the data format and interface specifications required by the control model. After receiving the change parameters, the waste heat unit control model uses its internal algorithms to process and calculate the input data. By simulating and analyzing the system's heat exchange processes and energy conversion relationships, the model determines the possible outcomes of executing the operation command and outputs these results as data. The outputted estimated results can be in the form of numerical values, charts, or text descriptions, making them easy for users to understand and evaluate. This solution allows the estimated results output by the waste heat unit control model to be displayed on the terminal device screen. For example, temperature trends can be displayed using a line graph, energy consumption changes can be represented using a bar graph, and relevant information can be explained using text. This intuitive display allows users to clearly understand the potential impact of executing the operation command. After viewing the estimated results displayed on the terminal device, the user confirms the operation through the terminal device's operation interface based on their needs and judgment. This operation is usually performed by clicking a "Confirm" button or entering a password to clearly indicate consent to the operation instruction. After receiving the user's confirmation, the terminal device converts the operation instruction into a specific control signal and sends it to the various actuators of the waste heat unit, such as the water pump, valves, and heating device. The actuators adjust their operating state based on the received control signal and control the parameters of the waste heat unit accordingly, thereby achieving the user's desired equipment operating state change.

[0085] This technical solution, after a user issues an operating instruction through a terminal device, uses the waste heat unit control model to estimate the results of the operating instruction and displays the estimated data to the user for confirmation. This process provides users with a decision-making reference and avoids problems such as equipment failure, energy waste, or non-compliance with production requirements that may result from blindly executing operating instructions. Through the result estimation, this solution allows users to understand in advance the impact of operating instructions on the operation of the waste heat unit, and thus decide whether to execute the operating instruction or adjust the operating instruction based on actual conditions. Executing the operating instruction after user confirmation ensures the accuracy of the waste heat unit parameter control and improves the operating efficiency and stability of the equipment.

[0086] In one embodiment, optionally, the method further includes:

[0087] Obtaining connection relationship information and internal pipeline distribution information of the waste heat unit;

[0088] Constructing a fluid dynamics model of each cooling tower in the waste heat unit based on the connection relationship information and the internal pipeline distribution information;

[0089] Accordingly, a digital twin model is established based on the temperature data collected by the temperature sensor in the waste heat unit and the water circulation parameters, and is dynamically displayed on the terminal device, including:

[0090] A digital twin model is established using the temperature data collected by the temperature sensor in the waste heat unit, the water circulation parameters, and the fluid dynamics model, and is dynamically displayed on a terminal device.

[0091] Connection relationship information refers to the connection method and sequence between various devices and components within the waste heat unit. For example, the piping connection between the waste heat recovery device and the cooling tower, such as series or parallel, the connection location of the water pump to the water circulation pipe, the installation location of each valve in the piping system, and its connection relationship with other components. This connection relationship information is crucial for understanding the material and energy flow paths within the waste heat unit.

[0092] Internal piping distribution information describes the detailed layout of various piping within the waste heat unit, including the water circulation piping and oil piping. This includes piping orientation (e.g., horizontal, vertical, or inclined), pipe diameter, bend radius, and the locations of branch and junction points. This detailed internal piping distribution information helps accurately simulate the flow characteristics of fluids in the piping and the heat transfer process.

[0093] A fluid dynamics model is a mathematical model constructed based on fluid dynamics principles, such as the continuity equation, momentum equation, and energy equation. It describes the flow state and interactions of fluids within a cooling tower. For each cooling tower, the model considers parameters such as fluid velocity, pressure, temperature, and density, as well as the interaction between the fluid and components such as the tower filler and fan. This model can predict water flow distribution, air flow resistance, and heat exchange efficiency within the cooling tower, providing theoretical support for optimizing the operation of waste heat units.

[0094] The digital twin model combines the aforementioned connection information, internal piping distribution, and fluid dynamics models to more accurately digitally map the waste heat unit. This model not only reflects the unit's geometry and operating parameters but also simulates fluid flow and heat exchange within the unit, displaying the spatial distribution of parameters like temperature, pressure, and flow in real time, providing users with more comprehensive and in-depth information about the unit's operation.

[0095] This technical solution collects the connection relationship information and internal pipeline distribution information of the waste heat unit through various means. Specifically, relevant information can be obtained by consulting the equipment's design drawings, installation manuals and other technical documents; or the waste heat unit can be scanned using three-dimensional laser scanning technology to generate a high-precision three-dimensional model, from which the connection relationship and pipeline distribution information can be extracted. Based on the acquired connection relationship information and internal pipeline distribution information, this solution uses professional numerical calculation software and mathematical modeling methods to establish a fluid dynamics model for each cooling tower. During the construction process, it is necessary to accurately model the geometric structure of the cooling tower, set reasonable boundary conditions such as inlet flow rate, temperature and pressure, and set relevant physical parameters such as the density, viscosity and thermal conductivity of the fluid, and select the finite element method or finite volume method to solve the fluid dynamics equations to obtain accurate model results.

[0096] This solution builds a digital twin model based on the original temperature data and water circulation parameters collected by temperature sensors, and further combines the calculation results of the fluid dynamics model. The temperature data, water circulation parameters and information about fluid flow and heat exchange in the fluid dynamics model are integrated, and a more realistic and accurate digital twin model is constructed using three-dimensional modeling software and data processing technology. During the establishment process, data from different sources need to be calibrated and matched to ensure that the model can accurately reflect the actual operating status of the waste heat unit. The established digital twin model is transmitted to the terminal device via the network, and the graphics processing and display functions of the terminal device are used to dynamically display the relevant information of the model, allowing users to view the temperature distribution and water flow conditions inside the waste heat unit. The operation process and parameter changes of the equipment can also be displayed through two-dimensional or three-dimensional animations, so that users can intuitively understand the real-time operating status of the waste heat unit.

[0097] This technical solution constructs a fluid dynamics model of the cooling tower by acquiring the connection relationship information and internal piping distribution information of the waste heat unit, and integrates it into the process of establishing the digital twin model, significantly improving the accuracy and practicality of the digital twin model. The accurate fluid dynamics model can more realistically simulate the fluid flow and heat exchange process within the cooling tower, allowing the digital twin model to not only display the operating status parameters of the equipment, but also reflect the spatial distribution and changes of the fluid. This provides users with more comprehensive and in-depth equipment operation information, helping users better understand the working principles and performance characteristics of the waste heat unit, and thus make more scientific and reasonable operation decisions. At the same time, by dynamically displaying the digital twin model, users can monitor the operating status of the equipment in real time, promptly identify potential problems and abnormal conditions, and take measures to deal with them in advance, thereby improving the stability of the equipment, reducing equipment failures and maintenance costs, and further optimizing the operating efficiency and energy utilization efficiency of the waste heat unit.

[0098] In one embodiment, optionally, in the terminal device, a flow arrow is generated, the rotation speed of the flow arrow is determined according to the water circulation speed, and the display position of the flow arrow is determined according to the fluid dynamics model.

[0099] Among them, the flow arrow can be a graphical element in the digital twin model interface displayed on the terminal device, which is used to intuitively represent the flow direction and state of water or oil in the internal pipeline of the waste heat unit. It is presented in the form of an arrow, and its direction represents the flow direction of the fluid, reflecting the relevant parameters of the fluid through different visual expressions. For example, the rotation speed can be the speed at which the flow arrow rotates around its own center point. In this solution, the rotation speed can be associated with the water circulation speed. This association allows users to more intuitively feel the changes in the water circulation speed on the terminal device. The display position can be the specific coordinate position of the flow arrow in the digital twin model interface displayed on the terminal device. This position is calculated based on the fluid dynamics model, which can accurately reflect the flow of the fluid at different locations inside the waste heat unit, helping users understand the distribution and direction of the fluid in the entire system.

[0100] This solution can determine the rotation speed of the flow arrow in the terminal device based on the water circulation speed and the display position of the flow arrow based on the fluid dynamics model. This helps determine where the fluid flow characteristics are most obvious and require flow arrows to represent them. For example, flow arrows can be displayed at locations with high fluid velocity or significant changes in flow direction to highlight the fluid flow state. By analyzing and processing the model calculation results, these locations are converted into coordinates on the terminal device display interface, thereby determining the display position of the flow arrow.

[0101] This technical solution greatly enhances the visualization and information expression capabilities of the digital twin model by generating flow arrows in the terminal device and determining their rotation speed and display position according to the water circulation speed and fluid dynamics model. The rotation speed of the flow arrow intuitively reflects the changes in the water circulation speed, allowing users to quickly perceive the speed of the water circulation without having to check the specific values, making it easier to detect abnormalities in the water circulation system in a timely manner. The display position determined by the fluid dynamics model enables the flow arrow to accurately indicate the actual flow path and key positions of the fluid inside the waste heat unit, helping users to more clearly understand the distribution and direction of the fluid in the entire system, and providing users with a more intuitive and effective tool for system monitoring, analysis and decision-making.

[0102] In one embodiment, optionally, the waste heat unit control model is used to generate a water circulation control instruction based on the prediction result of the outlet water temperature change with the purpose of maintaining a constant outlet water temperature, and the water circulation speed is controlled, including:

[0103] The waste heat unit control model is used to generate water circulation control instructions based on the outlet water temperature change prediction result and the fluid dynamics model with the purpose of keeping the outlet water temperature constant, and the water circulation speed is controlled.

[0104] The water circulation rate, which refers to the distance or volume of water flowing per unit time within the waste heat unit's water circulation system, is a key factor influencing outlet water temperature. Adjusting the water circulation rate can alter the heat exchange efficiency between water and oil, thereby controlling outlet water temperature.

[0105] This solution utilizes the waste heat unit control model, taking the predicted results of the outlet water temperature change and information provided by the fluid dynamics model as input, and performing analysis and calculations using the model's internal algorithms and logic. During this process, the model comprehensively considers multiple factors, including temperature trends, the flow characteristics of the fluid within the system, and heat exchange conditions, to achieve precise control of the outlet water temperature. After receiving the predicted results of the outlet water temperature change and relevant information from the fluid dynamics model, the waste heat unit control model calculates the control measures necessary to maintain a constant outlet water temperature based on a preset control algorithm. These measures are converted into specific water circulation control instructions, which include adjustments to the water circulation speed and operating parameters of other related equipment. For example, if the outlet water temperature is predicted to rise, the model may generate an instruction to increase the water circulation speed to accelerate heat removal, thereby ensuring consistent outlet water temperature.

[0106] Specifically, this solution can send the generated water circulation control instructions to the water circulation system's actuators. For example, upon receiving the instructions, the variable-frequency water pump adjusts its operating state accordingly. When the instructions call for an increase in water circulation speed, the pump increases motor speed, accelerating the flow of water through the pipe. Conversely, when the instructions call for a decrease in water circulation speed, the pump reduces motor speed. This allows for precise control of the water circulation speed, thereby regulating the outlet water temperature to a constant, set value.

[0107] This technical solution incorporates a fluid dynamics model when generating water circulation control instructions, allowing the waste heat unit control model to more comprehensively and accurately consider the flow characteristics of the fluid inside the waste heat unit and the impact of the heat exchange process on the outlet water temperature. Compared to control based solely on temperature change prediction results, after introducing the fluid dynamics model, the control model can more accurately calculate the water circulation speed adjustment required to maintain a constant outlet water temperature based on parameters such as the speed and pressure of the fluid at different positions. This helps to improve the accuracy and timeliness of control, reduce fluctuations in the outlet water temperature, and enable the outlet water temperature to be more stably maintained near the set value, thereby improving the operating efficiency and stability of the waste heat unit and further optimizing the effects of waste heat recovery and utilization. At the same time, it can also reduce energy consumption, equipment wear and maintenance costs.

[0108] Example 2

[0109] Figure 2 This is a flow chart of the intelligent control method for the waste heat unit provided in the second embodiment of the present application. This solution makes a better improvement to the above embodiment. Specifically, after extracting the semantic features and voiceprint features of the voice information, the method further includes: identifying whether the semantic features include preset qualifiers; if so, determining the priority of each control instruction according to the preset qualifiers. Figure 2 As shown, the specific steps include:

[0110] S201, obtaining oil temperature parameters and water circulation parameters of the waste heat unit; wherein the oil temperature parameters include oil inlet temperature and oil outlet temperature, and the water circulation parameters include water circulation speed and water outlet temperature;

[0111] S202, collecting air compressor operating status parameters;

[0112] S203, obtaining the water inlet temperature of the water cycle and integrating it into the water cycle parameters;

[0113] The water inlet temperature of the water cycle refers to the temperature of the water entering the waste heat unit's water circulation system. In the waste heat recovery process, inlet water temperature is a critical parameter, influencing the heat exchange between the entire water circulation system and the oil, and thus the outlet water temperature. For example, a lower inlet water temperature means the water has greater heat absorption potential, potentially making it easier to achieve the desired outlet water temperature.

[0114] Water circulation parameters are a collection of parameters that describe the operating status of a water circulation system. Previously, they included information such as water circulation speed and outlet water temperature. Incorporating inlet water temperature into these parameters provides a more comprehensive picture of the thermal state of the water circulation system, providing richer data support for subsequent control and analysis.

[0115] S204, inputting the oil temperature parameter, the water circulation parameter, and the air compressor operating state parameter into a waste heat unit control model, so that the waste heat unit control model, in combination with the air compressor operating state parameter, predicts changes in the outlet water temperature in the water circulation parameter;

[0116] S205, using the waste heat unit control model to generate a water circulation control instruction based on the prediction result of the outlet water temperature change, with the goal of maintaining a constant outlet water temperature, to control the water circulation speed and / or inlet water temperature;

[0117] In this solution, in addition to the water circulation rate, the inlet water temperature can also be controlled. This can be achieved through auxiliary equipment such as preheaters and coolers. Adjusting the inlet water temperature also directly affects the heat exchange process between the water and other heat sources, thereby affecting the outlet water temperature.

[0118] This solution can call upon the waste heat unit control model for analysis and calculation. After considering the new inlet water temperature parameter, the waste heat unit control model will more comprehensively evaluate various possible control strategies. Based on the predicted results of the outlet water temperature change and the goal of maintaining a constant outlet water temperature, the model will not only consider the adjustment of the water circulation rate, but also consider whether the inlet water temperature needs to be adjusted, thereby generating water circulation control instructions that include requirements for water circulation rate and / or inlet water temperature control. For example, if the outlet water temperature is predicted to be too low, the model may generate an instruction to increase the inlet water temperature, and may also appropriately reduce the water circulation rate to increase the time the water is heated in the system.

[0119] S206: Building a digital twin model based on the temperature data collected by the temperature sensor in the waste heat unit and the water circulation parameters, and dynamically displaying the model on a terminal device.

[0120] This technical solution obtains the inlet water temperature of the water cycle and integrates it into the water cycle parameters, enriching the parameter information used for control and enabling the waste heat unit control model to more comprehensively understand the thermal state of the water circulation system. On this basis, the control range is expanded from simply the water circulation speed to the water circulation speed and / or the inlet water temperature, enhancing the flexibility and accuracy of the control. When the outlet water temperature fluctuates, the control model can comprehensively adjust the water circulation speed and the inlet water temperature based on actual conditions to more effectively maintain a constant outlet water temperature. This helps to improve the operating efficiency of the waste heat unit and reduce energy waste, while also better meeting the requirements of different industrial production processes for outlet water temperature stability.

[0121] In one embodiment, optionally, the method further includes:

[0122] Taking the water circulation speed and the inlet water temperature as control variables, determining a sensitivity tensor of the outlet water temperature to the control variables;

[0123] Accordingly, the waste heat unit control model is used to generate water circulation control instructions based on the prediction result of the outlet water temperature change with the purpose of maintaining the outlet water temperature constant, and the water circulation speed and / or the inlet water temperature are controlled, including:

[0124] The waste heat unit control model is used to generate water circulation control instructions based on the outlet water temperature change prediction result and the sensitivity tensor with the purpose of keeping the outlet water temperature constant, and the water circulation speed and / or inlet water temperature are controlled.

[0125] Control variables are physical quantities that can be manually adjusted during the control of the waste heat unit. Here, the water circulation rate and inlet water temperature are used as control variables, meaning that the outlet water temperature can be influenced by changing the values of these two parameters, thereby achieving a constant outlet water temperature.

[0126] The sensitivity tensor represents the rate of change of the outlet water temperature relative to the two control variables, the water circulation rate and the inlet water temperature. It reflects how small changes in each control variable cause changes in the outlet water temperature. It is a multi-dimensional quantitative indicator that comprehensively reflects the sensitivity between the control variables and the outlet water temperature. For example, the sensitivity tensor can tell us how much the outlet water temperature will change, and how quickly, for a one-unit change in the water circulation rate or the inlet water temperature.

[0127] This approach can calculate the sensitivity tensor of the outlet water temperature to the water circulation rate and inlet water temperature through experimental measurement, numerical simulation, or data analysis. In experimental measurement, the water circulation rate and inlet water temperature can be varied under different operating conditions, the corresponding outlet water temperature changes recorded, and the sensitivity calculated based on this data. Numerical simulation utilizes the mathematical model of the waste heat unit to simulate the outlet water temperature under different control variable values on a computer, thereby obtaining the sensitivity tensor. Data analysis uses statistical analysis methods based on historical operating data to explore the relationship between the control variables and the outlet water temperature and determine the sensitivity tensor.

[0128] In this solution, the water circulation control instruction can be an instruction for adjusting the water circulation system generated by the waste heat unit control model based on relevant information in order to keep the outlet water temperature constant, including adjustment requirements for the water circulation speed and / or inlet water temperature.

[0129] This solution uses the predicted results of the outlet water temperature change and the sensitivity tensor as input information and provides them to the waste heat unit control model. The model will use this information to perform more accurate analysis and calculations to develop an appropriate control strategy. The waste heat unit control model combines the predicted results of the outlet water temperature change and the sensitivity tensor, considers the goal of maintaining a constant outlet water temperature, and uses internal algorithms and logic to calculate the adjustments that need to be made to the water circulation speed and / or inlet water temperature, thereby generating specific water circulation control instructions. For example, if the outlet water temperature is predicted to rise and the sensitivity tensor shows that the change in the inlet water temperature has a greater impact on the outlet water temperature, the model may generate an instruction to lower the inlet water temperature, while combining it with the adjustment of the water circulation speed to achieve a constant outlet water temperature.

[0130] This technical solution determines the sensitivity tensor of the outlet water temperature to the water circulation rate and inlet water temperature, providing more detailed information for the waste heat unit control model, enabling the model to more accurately understand the relationship between the control variables and the outlet water temperature. Including the sensitivity tensor when generating water circulation control instructions allows the control model to more rationally allocate the adjustment amount for the water circulation rate and inlet water temperature based on the sensitivity of different control variables. This helps to improve the accuracy and efficiency of control, reduce unnecessary adjustment actions, and more quickly achieve and maintain a constant outlet water temperature, thereby improving the operating stability and energy utilization efficiency of the waste heat unit and reducing operating costs.

[0131] Example 3

[0132] Figure 3 This is a schematic diagram of the structure of the intelligent control device for the waste heat unit provided in Example 3 of this application. Figure 3 As shown, the device includes:

[0133] The parameter acquisition module 301 is used to obtain the oil temperature parameters and water circulation parameters of the waste heat unit; wherein the oil temperature parameters include the oil inlet temperature and the oil outlet temperature, and the water circulation parameters include the water circulation speed and the outlet water temperature;

[0134] The operating state parameter collection module 302 is used to collect the operating state parameters of the air compressor;

[0135] The prediction module 303 is used to input the oil temperature parameter, the water circulation parameter, and the air compressor operating state parameter into the waste heat unit control model, so that the waste heat unit control model can predict the change of the outlet water temperature in the water circulation parameter in combination with the air compressor operating state parameter;

[0136] The water circulation control module 304 is configured to generate water circulation control instructions for controlling the water circulation speed based on the prediction result of the outlet water temperature change using the waste heat unit control model to keep the outlet water temperature constant;

[0137] The dynamic display module 305 is used to establish a digital twin model through the temperature data collected by the temperature sensor in the waste heat unit and the water circulation parameters, and dynamically display it on the terminal device.

[0138] In an embodiment of the present application, a parameter acquisition module is used to obtain the oil temperature parameters and water circulation parameters of the waste heat unit; wherein, the oil temperature parameters include the oil inlet temperature and the oil outlet temperature, and the water circulation parameters include the water circulation speed and the outlet water temperature; an operating status parameter acquisition module is used to acquire the operating status parameters of the air compressor; a prediction module is used to input the oil temperature parameters, the water circulation parameters and the air compressor operating status parameters into the waste heat unit control model, so that the waste heat unit control model can combine the air compressor operating status parameters to predict the changes in the outlet water temperature in the water circulation parameters; a water circulation control module is used to use the waste heat unit control model to generate a water circulation control instruction based on the outlet water temperature change prediction result with the purpose of keeping the outlet water temperature constant, and control the water circulation speed; a dynamic display module is used to establish a digital twin model through the temperature data and the water circulation parameters collected by the temperature sensor in the waste heat unit, and dynamically display it on the terminal device. The above technical solution can achieve the purpose of precise control of the outlet water temperature by controlling the water circulation parameters of the waste heat unit, improve the energy utilization efficiency, and ensure that the output high-temperature water has sufficient stability as the heat source provided to the lithium bromide unit.

[0139] The intelligent control device for the waste heat unit in the embodiments of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile terminal device or a non-mobile terminal device. For example, the mobile terminal device can be a mobile phone, tablet computer, laptop computer, PDA, vehicle-mounted terminal device, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. The non-mobile terminal device can be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc., and the embodiments of the present application do not specifically limit this.

[0140] The intelligent control device of the waste heat unit in the embodiment of the present application can be a device having an operating system. The operating system can be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0141] The intelligent control device for the waste heat unit provided in the embodiment of the present application can implement the various processes implemented in the above-mentioned embodiments one to four. To avoid repetition, they will not be described here.

[0142] Example 4

[0143] like Figure 4 As shown, an embodiment of the present application also provides a cleaning device 400, including a processor 401, a memory 402, and a program or instruction stored in the memory 402 and executable on the processor 401. When the program or instruction is executed by the processor 401, each process of the above-mentioned embodiment of the intelligent control method for the waste heat unit is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0144] It should be noted that the terminal devices in the embodiments of the present application include the mobile terminal devices and non-mobile terminal devices mentioned above.

[0145] Example 5

[0146] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned embodiment of the intelligent control method for the waste heat unit is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0147] The processor is the processor in the terminal device described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk.

[0148] Example 6

[0149] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned embodiment of the intelligent control method for the waste heat unit, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0150] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0151] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0152] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of this application, or the part that contributes to the existing technology, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of this application.

[0153] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

[0154] The above are only preferred embodiments of the present application and the technical principles employed. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that are possible for those skilled in the art will not depart from the scope of protection of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments and may include more other equivalent embodiments without departing from the concept of the present application. The scope of the present application is determined by the scope of the claims.

Claims

1. An intelligent control method for a waste heat unit, characterized in that: The method comprises: Obtaining the oil temperature parameters and water circulation parameters of the waste heat unit; wherein the oil temperature parameters include the oil inlet temperature and the oil outlet temperature, and the water circulation parameters include the water circulation speed and the water outlet temperature; The water inlet temperature of the water cycle is obtained and incorporated into the water cycle parameters. The air compressor waste heat recovery unit extracts the high-temperature oil in the air compressor, extracts the heat in the high-temperature oil through heat exchange, and utilizes the heat to heat the water. Collecting air compressor operating status parameters; wherein the air compressor operating status parameters include at least one of speed, power, pressure ratio and exhaust volume; The oil temperature parameter, the water circulation parameter, and the air compressor operating state parameter are input into the waste heat unit control model, so that the waste heat unit control model combines the air compressor operating state parameter to predict the change of the outlet water temperature in the water circulation parameter; wherein the waste heat unit control model is constructed using a long short-term memory network combined with a reinforcement learning mechanism; Obtaining connection relationship information and internal pipeline distribution information of the waste heat unit; Constructing a fluid dynamics model of each cooling tower in the waste heat unit based on the connection relationship information and the internal pipeline distribution information; Taking the water circulation speed and the inlet water temperature as control variables, determining a sensitivity tensor of the outlet water temperature to the control variables, wherein the sensitivity tensor is a relationship between the rate of change of the outlet water temperature with respect to the two control variables, the water circulation speed and the inlet water temperature; Using the waste heat unit control model to generate water circulation control instructions for the purpose of maintaining a constant outlet water temperature based on the outlet water temperature change prediction result and the fluid dynamics model, the water circulation speed is controlled; A digital twin model is established using the temperature data collected by the temperature sensor in the waste heat unit, the water circulation parameters, and the fluid dynamics model, and is dynamically displayed on a terminal device. In the terminal device, a flow arrow is generated, and the rotation speed of the flow arrow is determined according to the water circulation speed, and the display position of the flow arrow is determined according to the fluid dynamics model.

2. The intelligent control method for waste heat unit according to claim 1, characterized in that: The method further comprises: When an operation instruction is received through the terminal device, the change parameter corresponding to the operation instruction is input into the waste heat unit control model, so as to output result estimation data of the current operation instruction based on the waste heat unit control model; Display estimated result data for the user to confirm the operation instruction; After receiving the confirmation operation, the operation instruction is executed to control the parameters of the waste heat unit.

3. An intelligent control device for a waste heat unit, characterized in that: The device comprises: A parameter acquisition module is used to obtain oil temperature parameters and water circulation parameters of the waste heat unit; wherein the oil temperature parameters include oil inlet temperature and oil outlet temperature, and the water circulation parameters include water circulation speed and water outlet temperature; the water inlet temperature of the water circulation is obtained and incorporated into the water circulation parameters; the air compressor waste heat recovery unit draws out the high-temperature oil in the air compressor, draws out the heat in the high-temperature oil through heat exchange, and uses the heat to heat the water; An operating state parameter acquisition module, configured to acquire operating state parameters of the air compressor; wherein the operating state parameters of the air compressor include at least one of speed, power, pressure ratio, and exhaust volume; a prediction module, configured to input the oil temperature parameter, the water circulation parameter, and the air compressor operating state parameter into a waste heat unit control model, so that the waste heat unit control model, in combination with the air compressor operating state parameter, predicts changes in the outlet water temperature in the water circulation parameter; wherein the waste heat unit control model is constructed using a long short-term memory network combined with a reinforcement learning mechanism; The intelligent control device of the waste heat unit is further used to: obtain connection relationship information and internal pipeline distribution information of the waste heat unit; and construct a fluid dynamics model of each cooling tower in the waste heat unit based on the connection relationship information and internal pipeline distribution information; a water circulation control module, configured to use the water circulation speed and the inlet water temperature as control variables, determine a sensitivity tensor of the outlet water temperature to the control variables, wherein the sensitivity tensor is a relationship between the rate of change of the outlet water temperature and the two control variables, the water circulation speed and the inlet water temperature; generate water circulation control instructions for maintaining a constant outlet water temperature using the waste heat unit control model based on the outlet water temperature change prediction results and the fluid dynamics model, and control the water circulation speed; A dynamic display module is used to establish a digital twin model based on the temperature data collected by the temperature sensor in the waste heat unit and the water circulation parameters, as well as the fluid dynamics model, and dynamically display it on a terminal device. In the terminal device, a flow arrow is generated, the rotation speed of the flow arrow is determined according to the water circulation speed, and the display position of the flow arrow is determined according to the fluid dynamics model.

4. A terminal device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the intelligent control method for a waste heat unit as described in any one of claims 1 to 2 are implemented.

5. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the intelligent control method for the waste heat unit according to any one of claims 1 to 2 are implemented.

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