Compression ratio regulation and control system for regenerative heat cycle and energy efficiency optimization

Abstract

The invention relates to a compression ratio regulation and control system for regenerative heat cycle and energy efficiency optimization. The system comprises a heat energy recycling subsystem, a power compression subsystem, a heat flow circulation subsystem and an intelligent efficiency management subsystem. The heat energy recycling subsystem receives waste heat discharged by the power compression subsystem through a heat flow transmission network, and preheating treatment on inlet air is achieved. The heat flow circulation subsystem is matched with the waste heat extraction unit and the air inlet optimization unit to form a closed-loop heat exchange structure. The system is provided with an operation state sensing module, a heat energy recovery efficiency monitoring module and a compression ratio regulation and control device, heat energy parameters are collected in real time, a heat exchange path and compression ratio configuration are adjusted, and therefore a heat energy transmission path and a heat cycle process are optimized under various load conditions. The system has the advantages of being high in structural integration degree, sensitive in heat recovery response, high in energy efficiency regulation and control precision and the like, and is suitable for application scenes in heat energy recovery type heat exchange equipment and efficient compression systems.

Description

Technical Field

[0001] The present invention relates to the field of thermal energy management and heat exchange technology, and specifically to a compression ratio control system with regenerative heat circulation and energy efficiency optimization. The system is a heat exchange device with waste heat recovery and energy efficiency improvement functions, and is suitable for the efficient recovery and reuse of thermal energy in thermal systems. Background Art

[0002] During the operation of various power and thermal systems, a large amount of heat energy is released as exhaust or waste heat, which goes unutilized, resulting in energy waste and reduced system efficiency. To improve thermal cycle efficiency, various waste heat recovery and heat exchange devices have emerged in the prior art, such as using heat exchangers to preheat intake air and employing heat recovery path optimization systems. These devices typically rely on fixed structures to guide heat flow, lack the ability to dynamically adjust heat utilization efficiency under different operating conditions, and struggle to achieve coordinated optimization of the compression system and the heat recovery process.

[0003] Furthermore, traditional heat exchange systems often rely on single-parameter adjustments to manage load variations and compression ratio control, failing to develop a coordinated regulation mechanism that integrates multiple parameters and feedback control. This limits improvements in the system's overall thermal efficiency and responsiveness. Therefore, an integrated heat exchange system that integrates heat recovery control, compression ratio optimization, and system dynamic sensing is urgently needed to meet the energy efficiency management needs under complex operating conditions. Summary of the Invention

[0004] This invention aims to overcome the shortcomings of existing double-effect evaporation and crystallization systems in terms of flow rate regulation, evaporation efficiency, and scaling control, providing an intelligent dynamic flow rate regulation and double-effect crystallization evaporation device. By introducing a closed-loop control system, combined with data acquisition, intelligent optimization algorithms, and perturbation flow rate control, this invention enables real-time monitoring, dynamic optimization, and intelligent flow rate regulation. This improves evaporation efficiency, crystal quality, and reduces scaling, thereby enhancing overall process performance and operational stability.

[0005] According to the present invention, a compression ratio control system for regenerative heat circulation and energy efficiency optimization is provided, which includes a heat energy recycling subsystem, a power compression subsystem, a heat flow circulation subsystem and an intelligent efficiency management subsystem, and is characterized in that: the heat energy recycling subsystem is connected to the power compression subsystem through a heat flow transmission network, the heat flow circulation subsystem is linked with the heat energy recycling subsystem, and the waste heat discharged by the power compression subsystem is used to optimize the intake pretreatment, and the intelligent efficiency management subsystem is integrated with the power compression subsystem and the heat flow circulation subsystem; the system implements a compression ratio optimization strategy through an overall collaborative control mechanism, and integrates and adjusts the heat recovery efficiency of the heat energy recycling subsystem and the energy efficiency performance of the power compression subsystem, thereby improving the overall thermal cycle efficiency and energy utilization rate of the system.

[0006] Optionally, the overall coordinated control mechanism includes an operating status perception module, which is configured at the inlet and outlet of the heat energy recycling subsystem and the air intake and exhaust ports of the power compression subsystem through multi-point sensing devices to monitor the intake heat energy level, exhaust heat energy level, heat energy recovery efficiency and compression ratio operating data in real time.

[0007] Optionally, the heat flow circulation subsystem includes a waste heat extraction unit and an intake optimization unit, the waste heat extraction unit is connected to the intake optimization unit through a heat energy conduction network, the waste heat extraction unit utilizes the heat energy resources in the exhaust of the power compression subsystem to increase the intake temperature in the intake optimization unit to a target range, and the operation status perception module is arranged inside the waste heat extraction unit and the intake optimization unit through a thermal energy sensing device to collect heat energy recovery efficiency and intake pretreatment temperature data.

[0008] Optionally, the overall coordinated control mechanism includes an efficiency calculation module, which calculates a short-term optimal compression ratio based on the real-time intake heat energy level, exhaust heat energy level, heat recovery efficiency and compression ratio operation data provided by the operation state sensing module, wherein the optimal compression ratio ,in For the best compression ratio, is the intake air thermal energy level, is the exhaust heat energy level, For heat recovery efficiency, is the pressure difference.

[0009] Optionally, the overall coordinated control mechanism includes a thermal cycle optimization unit and a compression ratio adjustment unit. The thermal cycle optimization unit calculates thermal energy optimization parameters based on the thermal energy recovery efficiency and intake pretreatment temperature data provided by the operating status perception module. The compression ratio adjustment unit optimizes the compression ratio by adjusting the operating frequency of the power compression subsystem or the valve opening of the heat flow transmission network to enhance the thermal energy utilization efficiency of the thermal energy recycling subsystem and the overall system efficiency.

[0010] Optionally, the intelligent efficiency management subsystem includes a frequency modulation component, a flow distribution component and a heat flow disturbance component. The frequency modulation component is connected to the power compression subsystem through an electrical signal interface. The flow distribution component realizes flow distribution through a regulating valve installed on the heat flow transmission network connecting the heat energy recycling subsystem and the power compression subsystem. The heat flow disturbance component is connected to the waste heat extraction unit to periodically adjust the heat flow distribution to optimize the operating stability of the thermal cycle subsystem.

[0011] Optionally, the heat flow disturbance component periodically changes the heat flow distribution to produce a micro-disturbance effect based on the heat energy recovery efficiency and exhaust heat energy level provided by the operating status sensing module, thereby reducing the thermal resistance within the heat energy recycling subsystem, and collaboratively adjusts the compression ratio based on the optimization parameters of the thermal cycle optimization unit to improve the system thermal cycle efficiency.

[0012] Optionally, the overall coordinated control mechanism includes an efficiency adaptation module, which uses an intelligent prediction algorithm and thermal efficiency trend analysis to adaptively adjust the compression ratio optimization strategy based on the short-term optimal compression ratio calculation result of the efficiency calculation module, combined with the long-term operation record of the intake heat energy level, exhaust heat energy level, heat recovery efficiency and compression ratio operation data provided by the operation state perception module, wherein the predicted compression ratio ,in To predict the compression ratio, is the historical compression ratio, is the real-time compression ratio, and To adapt the weight.

[0013] Optionally, the system includes an operation alarm module, which is connected to the heat energy recovery subsystem and the power compression subsystem through a data connection line, detects abnormalities based on the intake heat energy level, exhaust heat energy level, heat energy recovery efficiency and compression ratio operation data provided by the operation status sensing module, and issues an alarm signal when a decrease in heat energy utilization efficiency or an abnormal compression ratio is detected.

[0014] Optionally, the system implements a compression ratio optimization strategy for regenerative heat cycle and energy efficiency optimization through the overall coordinated control mechanism, and dynamically adjusts the compression ratio of the power compression subsystem and the thermal energy parameters of the heat energy recycling subsystem, including the intake pretreatment temperature, heat energy recovery efficiency and pressure difference, according to the intake thermal energy level, exhaust thermal energy level and load conditions provided by the operating status perception module, to adapt to efficient thermal cycle and energy optimization under various load conditions.

[0015] The compression ratio control system with regenerative heat circulation and energy efficiency optimization provided by the present invention organically combines the heat energy recycling subsystem, the heat flow circulation subsystem and the power compression subsystem, and introduces an intelligent efficiency management mechanism, thereby realizing the efficient recovery of exhaust waste heat and the coordinated optimization of intake air pretreatment, thereby effectively improving the thermal cycle performance of the system while improving the efficiency of thermal energy utilization. The system obtains multi-parameter operating data in real time through the operation status perception module, and cooperates with the efficiency calculation and optimization control mechanism to dynamically adjust the compression ratio and thermal energy parameters according to different load conditions, so that the system can still maintain a high energy efficiency level in a changing environment. In addition, the system structure has a high degree of integration, good scalability and control responsiveness, and is suitable for various thermal systems and compression equipment that require efficient energy management, with significant energy saving and performance improvement effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a schematic diagram of the overall structure of a compression ratio control system with regenerative heat cycle and energy efficiency optimization provided by the present invention.

[0017] Figure 2 This is a schematic diagram of the structure of the heat flow circulation subsystem provided by the present invention.

[0018] Figure 3 This is the adjustment diagram of the intelligent performance management subsystem provided by the present invention.

[0019] Figure 4 A schematic diagram of the overall coordinated control flow of a regenerative heat cycle and energy efficiency optimized compression ratio control system provided by the invention.

[0020] Reference numerals: Overall coordinated control mechanism 100, power compression subsystem 110, heat energy recycling subsystem 111, heat flow circulation subsystem 112, intelligent efficiency management subsystem 113, waste heat extraction unit 114, and intake optimization unit 115. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0022] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the technical features indicated. Thus, features specified as "first" or "second" may explicitly or implicitly include one or more of such features; and in the description of this application, unless otherwise specified, "plurality" means two or more.

[0023] In order to more clearly illustrate the technical solution of the present invention, the present invention is described in detail below in conjunction with specific embodiments, but this should not be understood as limiting the scope of protection of the present invention. Figure 1 and Figure 4 As shown, a compression ratio control system for a regenerative heat cycle and energy efficiency optimization includes: a power compression subsystem 110, a heat recovery subsystem 111, a heat recovery subsystem 112, and an intelligent efficiency management subsystem 113. The heat recovery subsystem 111 is equipped with a heat exchange module and a heat transfer piping network. Its input end is connected to the exhaust port of the power compression subsystem 110 via a heat flow transmission network, and its output end is connected to an intake optimization device. It can recover exhaust waste heat and preheat the intake air. The power compression subsystem 110 includes a compressor body, an intake control valve, and an exhaust control valve. It achieves energy efficiency output under different operating conditions by adjusting the compression ratio. Furthermore, the heat recovery subsystem 112 is equipped with a waste heat extraction unit 114 and a heat flow distribution unit. The waste heat extraction unit 114 extracts heat from the exhaust gas of the compression subsystem and transfers the heat energy to the heat recovery subsystem 111 via a heat transfer pipe to increase the initial temperature of the intake air and improve compression efficiency. The intelligent efficiency management subsystem 113 includes a central control module that, in conjunction with multiple sensors located at the air intake, exhaust, and heat exchange unit, collects real-time operating parameters, including intake and exhaust temperatures, system pressure, and flow rate. Furthermore, during system operation, the central control module dynamically calculates the optimal compression ratio and heat recovery efficiency based on this collected data using a built-in optimization algorithm. It also simultaneously adjusts the compressor's operating frequency and the heat exchange efficiency parameters in the heat recovery subsystem 111 to maximize the system's overall thermal energy utilization, thereby maintaining high thermal cycle efficiency and system energy efficiency under varying load conditions.

[0024] The system architecture in this embodiment realizes effective linkage between the subsystems, can dynamically optimize the compression ratio according to actual operating requirements, and at the same time improve the real-time response capability and utilization efficiency of heat energy recovery, and has strong engineering practicality and scalability.

[0025] The compression ratio control system for regenerative heat circulation and energy efficiency optimization provided by the present invention organically combines the heat energy recycling subsystem 111, the heat energy recycling subsystem 112 and the power compression subsystem 110, and introduces an intelligent efficiency management mechanism, thereby achieving efficient recovery of exhaust waste heat and coordinated optimization of intake air pretreatment, effectively improving the thermal cycle performance of the system while improving the efficiency of thermal energy utilization. The system obtains multi-parameter operating data in real time through the operation status perception module, and cooperates with the efficiency calculation and optimization control mechanism to dynamically adjust the compression ratio and thermal energy parameters according to different load conditions, so that the system can still maintain a high energy efficiency level in a changing environment. In addition, the system structure has a high degree of integration, good scalability and control responsiveness, and is suitable for various thermal systems and compression equipment that require efficient energy management, with significant energy saving and performance improvement effects.

[0026] In this embodiment, based on the system described in claim 1, an operation status perception module is further provided to obtain the operation status data of each key node of the system in real time, and provide basic information support for compression ratio control and thermal energy management. Specifically, the operation status perception module includes a plurality of multi-point sensing devices, which are respectively arranged at the inlet and outlet of the heat energy recycling subsystem 111 and the air inlet and exhaust port of the power compression subsystem 110. The sensing device adopts a multi-parameter detection module integrating a thermistor, a pressure sensor and a flow sensor, which can respectively collect parameters such as the intake heat energy level, the exhaust heat energy level, the flow rate and the pressure change. For example, at the inlet of the heat energy recycling subsystem 111, the thermal sensing device is used to monitor the initial temperature of the intake air before heating, and is combined with the pressure sensor to obtain the gas state at the input end of the system; at the outlet of the subsystem, the sensor records the temperature change of the gas after heat exchange, which is used to calculate the heat recovery efficiency. Composite sensor arrays are also deployed at the air inlet and exhaust ports of power compression subsystem 110. These sensors simultaneously record the thermal state and pressure parameters of the gas before and after the compression process, used to determine compressor operating intensity and exhaust heat release. All sensor data is transmitted via a data acquisition interface to the central control module within intelligent efficiency management subsystem 113. The module's built-in data processing algorithm calculates operating indicators such as heat recovery efficiency, compression ratio, temperature difference, and pressure difference in real time, generating feedback signals for the formulation and execution of subsequent control strategies.

[0027] Through the deployment of the above-mentioned operating status perception module and real-time data feedback, the system can dynamically grasp the current operating status, support the compression ratio control and thermal energy efficiency optimization in the overall collaborative control mechanism 100, and thus achieve more accurate thermal cycle control goals.

[0028] In this embodiment, if Figure 2As shown, the heat energy recycling subsystem 112 includes a waste heat extraction unit 114 and an intake optimization unit 115, designed to efficiently extract and reuse exhaust heat energy from the power compression subsystem 110, thereby improving intake air quality and optimizing compression efficiency. Specifically, the waste heat extraction unit 114 is located in the exhaust path of the power compression subsystem 110 and is equipped with a high-efficiency heat exchanger and a heat conduction integrated pipeline. Its function is to extract heat energy from the high-temperature gas discharged by the compressor. The heat exchanger adopts a fin-type structure, which can improve heat exchange efficiency within a limited volume. Heat is transported to the intake optimization unit 115 via a heat conduction pipeline. The intake optimization unit 115 is located at the front end of the system's intake path and is equipped with an intake preheating chamber and a temperature control valve structure. The preheating chamber is equipped with a flow straightening device to evenly distribute the heat from the waste heat extraction unit 114 in the intake air flow, thereby raising the temperature of the air entering the compressor to a preset range, avoiding low-temperature intake air that may cause a decrease in compression efficiency or an increase in system energy consumption. In order to achieve dynamic control, thermal energy sensing devices are arranged inside the waste heat extraction unit 114 and the intake optimization unit 115. The sensing devices are composed of thermosensitive elements, which collect data such as heat exchange efficiency and intake pretreatment temperature in real time, and transmit them to the central control module of the intelligent efficiency management subsystem 113 through the data bus. During the operation of the system, the central control module determines the current heat recovery efficiency and intake optimization status based on the sensing data. If it is detected that the heat exchange efficiency has decreased or the intake temperature has not reached the set threshold, it can adjust the opening of the heat pipe valve or increase the exhaust flow rate of the compressor to enhance the heat flow transfer capacity and maximize the heat energy cycle efficiency. Through the above-mentioned structural configuration and operation strategy, this embodiment effectively realizes the deep recovery of the compressor exhaust heat energy and the intelligent optimization of the intake air flow, laying a thermal foundation for subsequent compression ratio control and overall energy efficiency improvement.

[0029] In this embodiment, the efficiency calculation module is integrated into the intelligent efficiency management subsystem 113 as one of the core components of the overall coordinated control mechanism 100. Its function is to dynamically calculate the current short-term optimal compression ratio based on the real-time operating status of the system and guide the operation adjustment of the power compression subsystem 110 through the central control module. This module receives real-time data including the intake air heat energy level through the data interface with the operating status perception module. , exhaust heat energy level , heat recovery efficiency and the pressure difference before and after compression To achieve rapid compression ratio optimization, the performance calculation module uses the following empirical modeling function: in, , , It is an adjustment coefficient, which is set through experimental tuning. For example, during the system debugging phase, set: = 0.4, = 0.5, = 0.01 Assume that the system operates as follows: Intake air heat energy level = 120kJ / kg Exhaust heat energy level = 200kJ / kg Heat recovery efficiency = 0.65 System pressure difference = 300kPa Then we can calculate: = 0.4 120 / 200+0.5 0.65-0.01 300 = 0.24 + 0.325 - 3 = -2.435 Since the compression ratio cannot be negative, the system has a preset tolerance judgment mechanism, which sets the lower limit of the compression ratio to 1.2. When the calculated value is lower than the critical value, the system automatically identifies it as an abnormal operation and triggers the control logic to adjust the heat flow input or reduce the pressure difference.

[0030] If the operating status after adjustment becomes: = 180kJ / kg; = 200kJ / kg; = 0.7; = 150kPa.

[0031] Then we can calculate: =-0.79 Although it is still a negative value at this time, it is an improvement compared to the previous time. The system will further combine the historical data trends in the performance adaptation module (see claim 8) to update the strategy and optimize the operating parameters.

[0032] Through this module, the system can dynamically identify and adjust the compression ratio setting for the current optimal thermal efficiency, forming a data-based closed-loop control process for thermal efficiency. This not only improves the system's energy efficiency level, but also enhances its adaptive response capabilities under complex working conditions.

[0033] In this embodiment, the thermal cycle optimization unit and the compression ratio adjustment unit integrated in the overall coordinated control mechanism 100 dynamically optimize and coordinate the thermal energy utilization path and the compression process respectively.

[0034] The thermal cycle optimization unit comprehensively analyzes key parameters collected by the operating status perception module, such as heat recovery efficiency and intake air pre-treatment temperature. Combined with pre-set operating models, it dynamically determines whether the current thermal cycle system is operating optimally. If the heat recovery efficiency falls below a set threshold or the intake air pre-treatment temperature falls below the specified threshold, the unit initiates an adjustment strategy to optimize the waste heat extraction path and improve thermal energy utilization efficiency.

[0035] On this basis, the compression ratio adjustment unit, based on the output of the thermal cycle optimization unit, fine-tunes the compression frequency of the power compression subsystem 110. Simultaneously, it adjusts the valve opening of the heat flow transmission network to adjust the heat flow distribution path, thereby affecting the system's compression ratio and achieving precise control of the compression process. For example, under conditions of large load fluctuations or unstable waste heat recovery, the compression ratio adjustment unit can quickly respond, reducing the compression ratio to reduce energy consumption, or increasing the compression ratio to enhance system output capacity when thermal efficiency is high.

[0036] This embodiment improves the system's responsiveness and energy adaptability through a bidirectional coupling mechanism of thermal cycle optimization and compression ratio adjustment, enabling the system to achieve a dynamic balance between thermal efficiency and compression efficiency under various operating conditions, effectively improving overall operating efficiency and reducing energy consumption fluctuations.

[0037] In this embodiment, Figure 3 As shown, the intelligent performance management subsystem 113 includes a frequency modulation component, a flow distribution component and a heat flow disturbance component, which work together to achieve intelligent regulation of the power compression process and the heat flow path to improve the system energy efficiency and thermal cycle stability.

[0038] The frequency modulation component is connected to the power compression subsystem 110 via an electrical signal interface and is equipped with a programmable logic controller (PLC). This component dynamically adjusts the operating frequency of the compression unit based on real-time compression ratio trends provided by the operating status sensing module. As system load increases and heat recovery efficiency improves, the component will appropriately increase the compression frequency to improve system output capacity. Under low load or high heat loss conditions, the compression frequency will automatically decrease to ensure system energy efficiency.

[0039] The flow distribution component, installed in the heat flow transmission network between the heat energy recovery subsystem 111 and the power compression subsystem 110, is comprised of multiple intelligent control valves. This component receives commands from the control system and flexibly adjusts the heat flow distribution ratio among the subsystems. For example, if the intake pre-treatment temperature is low, the heat flow to the intake optimization unit 115 is automatically increased, thereby increasing the intake calorific value and achieving rapid thermal balance.

[0040] The heat flow perturbation component is used to improve the operational stability of the thermal cycle subsystem. Connected to the waste heat extraction unit 114, it controls periodic perturbations of the heat flow distribution through a built-in perturbation algorithm. During system operation, this component actively applies small-amplitude heat flow perturbations, breaking down local thermal resistance and promoting uniform heat diffusion within the thermal energy recovery subsystem 111. This perturbation mechanism effectively prevents local overheating or heat flow segregation, improving overall heat exchange efficiency, especially after long periods of stable operation.

[0041] The three components described in this embodiment work together to achieve refined management and adaptive optimization of system operation, which not only improves the efficiency of thermal energy recycling and the flexibility of compression ratio control, but also enhances the operational robustness and dynamic response capability of the thermal cycle system.

[0042] In this embodiment, the heat flow disturbance component is configured in the waste heat extraction unit 114 of the heat energy recycling subsystem 112 as an important component of the intelligent performance management subsystem 113, and is used to improve the heat energy conduction efficiency and enhance the thermal stability of the system operation through micro-disturbance.

[0043] The thermal flow perturbation component receives real-time data from the operating status sensing module, specifically on heat recovery efficiency and exhaust heat levels. When the system detects a periodic decrease in heat recovery efficiency or significant fluctuations in exhaust heat levels, the thermal flow perturbation component initiates a perturbation strategy, periodically altering the heat flow distribution path and flow density. This perturbation, achieved through a combination of controllable valves, bypass loop switches, and thermal conductivity module switching, subtly alters the direction and distribution of heat flow, breaking up areas of thermal inertia within the system. This reduces local thermal resistance and increases the rate of heat transfer.

[0044] For example, during a specific operating cycle, if the system detects a drop in heat recovery efficiency from a stable value of 0.75 to 0.68, accompanied by significant fluctuations in exhaust heat levels, the thermal flow perturbation component will adjust the valve opening of a specific heat path by approximately ±5%, refreshing the perturbation every 30 seconds for three minutes. After the perturbation ends, the system reassesses the heat distribution. If the heat recovery efficiency returns to the set range, the perturbation result is maintained; otherwise, the next round of perturbation optimization is initiated.

[0045] The thermal flow perturbation component also works in conjunction with the thermal cycle optimization unit. When the perturbation improves thermal flow efficiency, the optimization unit reassesses the thermal cycle state based on the new parameters. If it determines that the system has room for a higher compression ratio, the compression ratio adjustment unit fine-tunes the operating frequency of the power compression subsystem 110, achieving a synergistic improvement in thermal flow perturbation and compression ratio optimization.

[0046] In this way, the system can not only quickly restore the thermal cycle efficiency when the thermal resistance increases or the heat distribution is unbalanced, but also continuously improve the compression ratio control accuracy and response speed during the disturbance process, ultimately achieving dual optimization of the system's thermal efficiency and stability.

[0047] In this embodiment, the efficiency adaptation module of the system configuration is part of the overall collaborative control mechanism 100. It relies on the output data of the operation status perception module and the efficiency calculation module to comprehensively analyze the long-term operation trend of the system and the current thermal cycle status, and construct a dynamic compression ratio optimization strategy.

[0048] The Efficiency Adaptation Module first collects historical compression ratio data provided by the Operational Status Perception Module (e.g., compression ratio values recorded hourly over the past seven days). This data is combined with real-time data such as intake and exhaust heat levels and heat recovery efficiency to form a comprehensive compression ratio control database. Each data item is timestamped and filtered to remove outliers, ensuring the accuracy of the prediction model.

[0049] Based on this database, the performance adaptation module introduces a weighted prediction model and integrates the historical compression ratio Real-time compression ratio , using the formula: , Here, k and λ represent the weighting of historical data and real-time data, respectively. The default values are k=0.6 and λ=0.4, and they can be adaptively adjusted based on the system's operating status. For example, when the system is stable, increasing k can enhance reliance on historical data. When the system's thermal load fluctuates frequently, increasing λ can enhance responsiveness to real-time conditions.

[0050] Taking a certain operation as an example, if the historical compression ratio The current real-time compression ratio is 7.8. If it is 8.2, then calculate the predicted compression ratio = 0.6 × 7.8 + 0.4 × 8.2 = 4.68 + 3.28 = 7.96 The efficiency adaptation module compares the predicted compression ratio with the current compression ratio. If the deviation exceeds a set threshold (e.g., ±0.3), it issues a strategy adjustment instruction. The instruction is transmitted to the compression ratio allocation unit, which fine-tunes the compression ratio by adjusting the operating frequency of the power compression subsystem 110 and the valve opening of the heat flow transmission network until the compression ratio is close to the target value. target value.

[0051] In addition, the efficiency adaptation module also has a learning mechanism that can self-optimize the values of κ and λ based on feedback from results during long-term operation, so that the prediction model continuously approaches the optimal thermal efficiency range, further improving the system's adaptability and energy efficiency level.

[0052] Through this embodiment, the system can achieve continuous evolution of the compression ratio optimization strategy under complex and dynamic heat load conditions, effectively improving heat recovery efficiency and energy utilization.

[0053] In this embodiment, the operation alarm module equipped in the system is connected to the heat energy recycling subsystem 111 and the power compression subsystem 110 through a data connection line, and is integrated into the intelligent efficiency management subsystem 113, which is used to monitor the system operation status in real time, identify energy efficiency degradation or compression ratio abnormalities, and issue alarm signals in a timely manner.

[0054] The operation alarm module receives real-time data from the operation status sensing module, including the intake air heat energy level , exhaust heat energy level , heat recovery efficiency and compression ratio operating value This module has a built-in anomaly detection algorithm with several monitoring indicators and judgment thresholds. For example: Heat recovery efficiency If it is lower than the set threshold (e.g. 0.6) for 3 minutes; Compression ratio If the compression ratio deviates from the prediction More than ±0.5; The difference ΔE between the intake and exhaust heat energy levels increases abnormally (e.g., more than twice the historical average); The system will immediately identify it as a potential energy efficiency anomaly or compression ratio abnormality.

[0055] When any of the above abnormal conditions are met, the operational alarm module will immediately notify the user through sound, light, or a graphical interface, and record the alarm event time, data snapshot, and possible abnormality type. Simultaneously, the alarm information is fed back to the overall coordinated control mechanism 100 for use in adjusting the compression ratio optimization strategy or heat flow distribution strategy.

[0056] For example, during one operation, the system detected It continued to drop from 0.72 to 0.59 and lasted for more than the set time. The operation alarm module immediately triggered a red alarm indication and prompted: "The heat energy recovery efficiency is low. It is recommended to check whether the channel 114 of the waste heat extraction unit is blocked." Subsequent operation and maintenance personnel found that the opening of a valve in the heat flow transmission network was abnormally closed, and the thermal energy efficiency was quickly restored.

[0057] Through this embodiment, the operation alarm module effectively realizes the dynamic monitoring and safety assurance of the system status, while ensuring the thermal cycle efficiency and compression ratio control effect, it improves the stability and reliability of the system operation.

[0058] In this embodiment, if Figure 1-Figure 4 As shown, the system applies an overall collaborative control mechanism 100, and during actual operation, coordinates and adjusts the power compression subsystem 110 and the heat energy recycling subsystem 111 according to the intake heat energy level, exhaust heat energy level and current load conditions provided by the operation status perception module, thereby realizing dynamic adaptation of the compression ratio optimization strategy.

[0059] Specifically, the system presets a variety of typical load conditions (such as low load, standard load and high load), and each condition corresponds to a set of thermal cycle control parameter ranges. For example: Low load condition: When the load is below 30%, the heat recovery efficiency is prioritized and the compression ratio is set to 6.8-7.5; Standard load condition: load is between 30% and 70%, balancing energy efficiency and response speed, and the compression ratio is set to 7.5 to 8.2; High load conditions: When the load exceeds 70%, compression capacity is prioritized and the compression ratio is appropriately increased to 8.2-9.0.

[0060] During a high load operation, the system detected the intake air heat level The exhaust heat energy level is 95 kJ / kg. The efficiency calculation module calculates the current short-term optimal compression ratio to be 8.7. Combining historical operating data, the efficiency adaptation module predicts a compression ratio of 8.5.

[0061] After receiving the predicted value, the intelligent efficiency management subsystem 113 adjusts the operating frequency of the power compression subsystem 110 through the compression ratio allocation unit, and simultaneously instructs the heat energy recycling subsystem 111 to adjust the intake pretreatment temperature (raising it to 110°C) and the opening of the heat flow transmission network valve (increasing the flow rate by 15%), ultimately allowing the system to stably operate at a compression ratio of around 8.6, close to the optimal value.

[0062] During the control process, the system automatically and dynamically adjusts the compression ratio and thermal energy parameters according to the load change trend, and evaluates the stability and efficiency changes every 30 seconds to ensure that the thermal cycle efficiency is in the optimal range.

[0063] Through this embodiment, the system can achieve intelligent linkage optimization of thermal cycle and energy efficiency when facing complex changes in working conditions, effectively improving the thermal efficiency of the whole machine, compression response speed and system operation stability without increasing additional energy consumption.

[0064] The above description is merely an exemplary embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformation made by utilizing the contents of the present invention's description and drawings under the technical concept of the present invention, or directly / indirectly applied in other related technical fields, is included in the patent protection scope of the present invention.

Claims

1. A compression ratio control system for regenerative heat circulation and energy efficiency optimization, comprising a heat energy recycling subsystem, a power compression subsystem, a heat flow circulation subsystem, and an intelligent efficiency management subsystem, characterized by: The heat energy recycling subsystem is connected to the power compression subsystem through a heat flow transmission network. The heat flow circulation subsystem is linked to the heat energy recycling subsystem to optimize the intake pretreatment by using the waste heat discharged by the power compression subsystem. The intelligent efficiency management subsystem is integrated with the power compression subsystem and the heat flow circulation subsystem. The system implements a compression ratio optimization strategy through an overall collaborative control mechanism, and integrates and adjusts the heat recovery efficiency of the heat energy recycling subsystem and the energy efficiency performance of the power compression subsystem, thereby improving the overall thermal cycle efficiency and energy utilization rate of the system.

2. The compression ratio control system with regenerative heat cycle and energy efficiency optimization according to claim 1 is characterized in that: The overall coordinated control mechanism includes an operating status perception module, which is configured at the inlet and outlet of the heat energy recycling subsystem and the air intake and exhaust ports of the power compression subsystem through multi-point sensing devices to monitor the intake heat energy level, exhaust heat energy level, heat recovery efficiency and compression ratio operating data in real time.

3. The compression ratio control system with regenerative heat cycle and energy efficiency optimization according to claim 2 is characterized in that: The heat flow circulation subsystem includes a waste heat extraction unit and an intake optimization unit. The waste heat extraction unit is connected to the intake optimization unit through a heat energy conduction network. The waste heat extraction unit uses the heat energy resources in the exhaust of the power compression subsystem to increase the intake temperature in the intake optimization unit to a target range. The operation status perception module is arranged inside the waste heat extraction unit and the intake optimization unit through a thermal energy sensing device to collect heat energy recovery efficiency and intake pretreatment temperature data.

4. The compression ratio control system with regenerative heat cycle and energy efficiency optimization according to claim 2, characterized in that: The overall coordinated control mechanism includes an efficiency calculation module, which calculates the short-term optimal compression ratio based on the real-time intake heat energy level, exhaust heat energy level, heat recovery efficiency and compression ratio operation data provided by the operation state perception module, wherein the optimal compression ratio ,in For the best compression ratio, is the intake air thermal energy level, is the exhaust heat energy level, For heat recovery efficiency, is the pressure difference.

5. The compression ratio control system for regenerative heat cycle and energy efficiency optimization according to claim 4 is characterized in that: The overall coordinated control mechanism includes a thermal cycle optimization unit and a compression ratio allocation unit. The thermal cycle optimization unit calculates thermal energy optimization parameters based on the thermal energy recovery efficiency and intake pretreatment temperature data provided by the operating status perception module. The compression ratio allocation unit optimizes the compression ratio by adjusting the operating frequency of the power compression subsystem or the valve opening of the heat flow transmission network to enhance the thermal energy utilization efficiency of the thermal energy recycling subsystem and the overall system efficiency.

6. The compression ratio control system with regenerative heat cycle and energy efficiency optimization according to claim 5, characterized in that: The intelligent efficiency management subsystem includes a frequency modulation component, a flow distribution component and a heat flow disturbance component. The frequency modulation component is connected to the power compression subsystem through an electrical signal interface. The flow distribution component realizes flow distribution through a regulating valve installed on the heat flow transmission network connecting the heat energy recycling subsystem and the power compression subsystem. The heat flow disturbance component is connected to the waste heat extraction unit and periodically adjusts the heat flow distribution to optimize the operating stability of the thermal circulation subsystem.

7. The compression ratio control system with regenerative heat cycle and energy efficiency optimization according to claim 6, characterized in that: The heat flow disturbance component periodically changes the heat flow distribution to produce a micro-disturbance effect based on the heat energy recovery efficiency and exhaust heat energy level provided by the operating status sensing module, thereby reducing the thermal resistance within the heat energy recycling subsystem and collaboratively adjusting the compression ratio based on the optimization parameters of the thermal cycle optimization unit to improve the system thermal cycle efficiency.

8. The compression ratio control system with regenerative heat cycle and energy efficiency optimization according to claim 4, characterized in that: The overall coordinated control mechanism includes an efficiency adaptation module, which uses an intelligent prediction algorithm and thermal efficiency trend analysis to adaptively adjust the compression ratio optimization strategy based on the short-term optimal compression ratio calculation result of the efficiency calculation module and the long-term operation record of the intake heat energy level, exhaust heat energy level, heat recovery efficiency and compression ratio operation data provided by the operation state perception module. ,in To predict the compression ratio, is the historical compression ratio, is the real-time compression ratio, and To adapt the weight.

9. The compression ratio control system with regenerative heat cycle and energy efficiency optimization according to claim 1, characterized in that: The system includes an operation alarm module, which is connected to the heat energy recovery subsystem and the power compression subsystem through a data connection line. The operation alarm module detects abnormalities based on the intake heat energy level, exhaust heat energy level, heat energy recovery efficiency and compression ratio operation data provided by the operation status sensing module, and issues an alarm signal when a decrease in heat energy utilization efficiency or an abnormal compression ratio is detected.

10. The compression ratio control system with regenerative heat cycle and energy efficiency optimization according to claim 1, characterized in that: The system implements a compression ratio optimization strategy for regenerative heat circulation and energy efficiency optimization through the overall coordinated control mechanism. Based on the intake heat energy level, exhaust heat energy level and load conditions provided by the operating status perception module, the system dynamically adjusts the compression ratio of the power compression subsystem and the thermal energy parameters of the heat energy recycling subsystem, including the intake pretreatment temperature, heat energy recovery efficiency and pressure difference, to adapt to efficient heat circulation and energy optimization under various load conditions.

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