Cooperative control method, device and equipment of subway impinging jet ventilation and medium

Abstract

This invention belongs to the field of environmental control and energy-saving operation technology for rail transit vehicles. It provides a collaborative control method, device, equipment, and medium for subway impingement jet ventilation. The method includes: determining a comprehensive comfort index and an equivalent load index based on operating data and the human body's thermal regulation mechanism; determining a feasible region based on the equivalent load index; jointly optimizing the target operating conditions of the air outlet based on the comprehensive comfort index, equivalent load index, feasible region, and preset boundary conditions to obtain multiple sets of candidate local optimal solutions; selecting the best solution from the multiple candidate local optimal solutions according to a strategy template to obtain a ternary control command; and executing corresponding control processing through the impingement jet fan, heat control unit, and air outlet height adjustment mechanism according to the ternary control command. Through the above scheme, this invention improves the accurate response of subway impingement jet ventilation and achieves a balance between air quality, thermal comfort, and energy consumption.

Description

Technical Field

[0001] This invention relates to the field of environmental control and energy-saving operation technology for rail transit vehicles, and in particular to a coordinated control method, device, equipment and medium for subway impact jet ventilation. Background Technology

[0002] Because subway carriages are often located underground, they are enclosed spaces with high passenger density and limited air circulation, leading to heat accumulation and decreased thermal comfort. Therefore, optimized ventilation is urgently needed to improve thermal comfort. Traditional subway ventilation systems and their control systems cannot further enhance thermal comfort and are not significantly effective in providing good air quality and improving energy performance. Impinging Jet Ventilation (IJV) systems demonstrate unique advantages in balancing the needs of air quality, thermal comfort, and energy consumption. However, the following problems exist in the control of IJV systems: (1) At present, most technologies are for stable building spaces. However, building spaces and subway car rooms differ significantly in terms of personnel density, airflow organization, spatial scale and operating conditions. In other words, local thermal discomfort is difficult to be explicitly included in the control target and cannot be effectively controlled by air conditioning.

[0003] (2) Existing cabin ventilation control methods often rely on average air temperature or traditional thermal comfort indicators, and often use uniform parameter assumptions to predict thermal comfort at different locations in the entire space. However, the human body is complex, and the thermal perception formed by the feet and head will be different. Therefore, relying on traditional thermal comfort assessment indicators is difficult to reflect the real thermophysiological response of different body parts of passengers under airflow and temperature distribution conditions, thus failing to accurately assess the overall comfort level and the risk of local discomfort.

[0004] (3) Existing ventilation system control methods only consider the overall average comfort to meet the requirements. They cannot effectively control the phenomenon of obvious cold air blowing or heat accumulation in some passenger areas. Traditional control objective functions are difficult to effectively constrain such local discomfort.

[0005] (4) In actual operation, different scenarios have different focuses on comfort, energy consumption and temperature uniformity, but existing systems usually only use a single control strategy and lack the ability to adjust at the strategy level for different operating objectives. Summary of the Invention

[0006] Aimed at at least in solving one of the technical problems existing in the prior art, the present invention provides a method, device, equipment and medium for coordinated control of subway impact jet ventilation.

[0007] One aspect of the present invention provides a collaborative control method for subway impingement jet ventilation, comprising: Acquire data on the environmental status and operating conditions of the carriage; Based on the aforementioned working condition data, the comprehensive comfort index and equivalent load index are determined using the human body's thermal regulation mechanism, and the feasible region is determined based on the equivalent load index. Based on the comprehensive comfort index, equivalent load index, feasible region and preset boundary conditions, the target operating condition of the air outlet is jointly optimized to obtain multiple sets of candidate local optimal solutions. Based on the strategy template, the optimal solution is selected from multiple candidate local optimal solutions to obtain the three-dimensional control command; According to the three-element control command, the corresponding control processing is performed through the impact jet fan, the heat control unit, and the air outlet height adjustment mechanism.

[0008] According to the aforementioned collaborative control method for subway impingement jet ventilation, acquiring the environmental status and operating condition data of the carriage further includes: In each control cycle, the environmental status of the carriage and the operating data are collected, and the control quantity of the impingement jet ventilation is determined based on the operating data. The environmental status of the carriage includes the average temperature of the carriage and the temperature at multiple measuring points at different heights. The operating data includes the supply air temperature, supply air flow rate and supply outlet height.

[0009] According to the aforementioned collaborative control method for subway impingement jet ventilation, based on the operating data, a comprehensive comfort index and an equivalent load index are determined using the human body's thermal regulation mechanism. The feasible region is then determined based on the equivalent load index, including: Based on the human body's thermal regulation mechanism, the Fiala thermal regulation model was used to determine dynamic thermal sensation and predict the percentage of dissatisfaction. The comfort result for each representative point is determined based on dynamic thermal sensation and the predicted percentage of dissatisfaction. Comfort results from multiple representative points are aggregated. The aggregated results are then combined with a local discomfort penalty mechanism to determine a comprehensive comfort index. This local discomfort penalty mechanism characterizes instances where a representative point exceeds a local discomfort threshold. and heat transfer rate for:

[0010] in, The average probability of discomfort at the monitoring points. For the probability of discomfort at a single point, The threshold for local discomfort. This is the penalty weighting coefficient; The heat transfer rate is determined based on the operating data:

[0011] in The specific heat capacity of air at constant pressure. The average temperature of the carriage. For air supply quality flow rate, For supply air temperature; Based on the control quantity of the impingement jet ventilation, the heat transfer rate of each representative point is calculated. When the heat transfer rate of any representative point exceeds the equivalent load index, the representative point is prohibited from participating in the optimal update and execution output. The equivalent load index includes a fixed threshold and hard constraint filtering conditions. The hard constraint filtering conditions are used to determine the feasibility of candidate representative points. The hard constraint filtering conditions include at least one of the following: supply air flow boundary constraint, supply air temperature boundary constraint, supply air outlet height boundary constraint, control quantity change rate constraint, equivalent load upper limit constraint, and execution safety constraint. When a candidate representative point does not meet any hard constraint filtering condition, the corresponding representative point is determined to be an infeasible solution. Infeasible solutions do not participate in the optimal solution update and execution output.

[0012] According to the aforementioned collaborative control method for subway impingement jet ventilation, the target operating condition of the air outlet is jointly optimized based on the comprehensive comfort index, equivalent load index, feasible region, and preset boundary conditions to obtain multiple sets of candidate local optimal solutions, including: Using the comprehensive comfort index as the primary constraint and the equivalent load index as the secondary constraint, an intelligent optimization algorithm and preset boundary conditions are employed. Through iterative search involving velocity updates, location updates, fitness evaluation, individual optimal updates, and global optimal updates, multiple sets of candidate local optimal solutions are obtained. The preset boundary conditions include preset supply air mass flow rate range, preset supply air temperature range, and preset supply air outlet height. The intelligent optimization algorithm includes one of the following: particle swarm optimization, genetic algorithm, differential evolution algorithm, simulated annealing algorithm, online constraint optimization method based on model predictive control, policy search method based on reinforcement learning, and fast approximate optimization method combined with surrogate model.

[0013] According to the aforementioned collaborative control method for subway impact jet ventilation, which selects the optimal solution from multiple candidate local optima based on a strategy template to obtain a ternary control command, the method further includes: Based on the strategy template and smoothing process, the optimal solution is selected from multiple candidate local optima to obtain the three-dimensional control command. The smoothing process is used to limit the amplitude, limit the speed and smooth the filter of the control quantity. The control quantity of the three-dimensional control command includes adjusting the air supply flow rate, adjusting the air supply temperature and adjusting the air supply outlet height.

[0014] According to the aforementioned coordinated control method for subway impingement jet ventilation, the control processes are executed by the impingement jet fan, the heat control unit, and the air outlet height adjustment mechanism based on the three-element control command, including: The three-dimensional control command is sent to the impingement jet fan and the control processing is executed. The environmental status and operating condition data of the carriage after the control processing are collected. Closed-loop feedback is executed based on the environmental status and operating condition data of the carriage after the control processing. In addition, the collection of environmental status and operating condition data of the carriage and the coordinated control of the subway impingement jet ventilation are executed cyclically.

[0015] According to the aforementioned coordinated control method for subway impact jet ventilation, the method further includes: If comfort deteriorates rapidly, local penalties are triggered, equivalent load indicators exceed thresholds, or data collection or execution deviations increase, the strategy template will be replaced with a safe operation template until the anomaly is resolved.

[0016] Another aspect of the present invention provides a coordinated control device for subway impact jet ventilation, comprising: The first module is used to acquire the environmental status and operating condition data of the carriage. The second module is used to determine the comprehensive comfort index and the equivalent load index based on the working condition data and the human body's thermal regulation mechanism, and to determine the feasible region based on the equivalent load index. The third module is used to jointly optimize the target operating conditions of the air outlet based on the comprehensive comfort index, equivalent load index, feasible region and preset boundary conditions, and obtain multiple sets of candidate local optimal solutions. The fourth module is used to select the best solution from multiple candidate local optima based on the strategy template to obtain the ternary control command. The fifth module is used to perform corresponding control processing through the impact jet fan, heat control unit and air outlet height adjustment mechanism according to the three-element control command.

[0017] Another aspect of the invention provides an electronic device, including a processor and a memory; The memory is used to store programs; The processor executes the program to implement the method as described above.

[0018] This invention also discloses a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device can read the computer instructions from the computer-readable storage medium and execute the computer instructions, causing the computer device to perform the methods described above.

[0019] The beneficial effects of this invention are as follows: Real-time feedback is achieved by constructing a thermal comfort model based on refined human body assessment. For example, relying on the Fiala thermal regulation model, the human body is divided into multiple surfaces to refine thermal comfort indicators. Furthermore, the equivalent uniform temperature (EHT) model can be used to accurately assess the thermal comfort characteristics of different body parts, thus promoting precise response of the impingement jet ventilation control. A local discomfort penalty mechanism is introduced to prevent the system from sacrificing the comfort of a few areas for overall indicator improvement, ensuring thermal comfort is achieved throughout the entire space and in specific areas of the vehicle. Multiple operating strategy templates and an online optimization mechanism are constructed to adapt to different operating modes such as energy saving priority or comfort priority, achieving real-time performance of the impingement jet ventilation control. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the collaborative control process of subway impact jet ventilation according to an embodiment of the present invention.

[0021] Figure 2 This is a flowchart of the coordinated control of thermal comfort and energy consumption in subway car compartments based on impingement jet air supply and particle swarm optimization, according to an embodiment of the present invention.

[0022] Figure 3 This is a schematic diagram of the coordinated control process for thermal comfort and energy consumption in subway car compartments based on impingement jet air supply and genetic algorithm, according to an embodiment of the present invention. Figure 4 This is a schematic diagram of the coordinated control device for subway impact jet ventilation according to an embodiment of the present invention. Detailed Implementation

[0023] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings. Throughout the description, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions. In the following description, suffixes such as "module," "part," or "unit" used to denote elements are used only for the purpose of illustrative purposes and have no specific meaning in themselves. Therefore, "module," "part," or "unit" can be used interchangeably. Terms such as "first," "second," etc., are used only to distinguish technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the sequential relationship of the indicated technical features. In the following description, the consecutive reference numerals for method steps are for ease of review and understanding. Adjusting the implementation order of steps, in conjunction with the overall technical solution of the present invention and the logical relationship between the various steps, will not affect the technical effect achieved by the technical solution of the present invention. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0024] refer to Figure 1 , Figure 1This invention relates to a coordinated control method for subway impact jet ventilation, which includes, but is not limited to, steps S100-S500: S100 acquires the environmental status and operating conditions data of the carriage.

[0025] In some embodiments, in each control cycle, the environmental status and operating conditions of the carriage are collected, and the control quantity of the impingement jet ventilation is determined based on the operating conditions data. The environmental status of the carriage includes the average temperature of the carriage and the temperature and flow rate at multiple height measurement points. The operating conditions data include the supply air temperature, supply air flow rate and supply outlet height.

[0026] It should be noted that the control quantities of impingement jet ventilation are the adjustment of air supply flow rate, air supply temperature, and air outlet height in the current control cycle.

[0027] For example, taking a single subway car as the controlled object, the car's geometric dimensions are: length 17.34m, width 2.58m, and height 2.18m. Low-level air supply vents are arranged below the seats on both sides of the car, with the vent height adjustable from 0 to 0.15m to avoid interference with the seat structure; return air vents and exhaust air vents are installed on the top of the car to form an impact jet ventilation airflow organization mode of "ground diffusion - thermal plume lifting - top exhaust".

[0028] The carriage accommodates 49 passengers, 33 of whom are standing and 16 are sitting. The heat release power from the human body surface is set according to normal metabolic levels; the thermal resistance of passenger clothing is based on the level of light summer clothing. Six spatially representative passenger locations were selected as comfort monitoring subjects, including the non-direct airflow area near the door, the direct airflow area along the side walls, and the central area of ​​the aisle, simultaneously covering both sitting and standing passengers to reflect the typical non-uniform thermal environment distribution characteristics within the carriage.

[0029] It should be noted that the embodiments of the present invention first initialize the controlled object and the constraint domain: at least three types of controllable variables (control variables for collaborative optimization) are determined as air supply mass flow rate, air supply temperature, and air outlet height (or equivalent geometric parameters), wherein the air outlet is arranged along the side wall below the seat and the height is limited to a range that does not interfere with the seat structure (e.g., 0-0.15m). Subsequently, the upper and lower bounds, rate of change limits, and energy consumption budgets / thresholds of each variable are configured, and a collaborative optimization objective function is established. Its core consists of an average thermal discomfort term representing multiple passenger points and a local discomfort penalty term, so that the optimization improves the overall comfort while avoiding sacrificing local comfort to achieve average index improvement.

[0030] In embodiments of the present invention, the control variable for collaborative optimization includes: supply air mass flow rate. The value range is 0–3.0 kg / s; supply air temperature The value range is 18.5-26.5℃; air outlet height The value range is 0-0.15m.

[0031] S200, based on operating data, uses the human body's thermal regulation mechanism to determine the comprehensive comfort index and equivalent load index, and determines the feasible region based on the equivalent load index.

[0032] In some embodiments, based on the human thermoregulation mechanism, the Fiala thermoregulation model is used to determine dynamic thermal sensation and predicted dissatisfaction percentage. In this embodiment, the human thermoregulation model is used to calculate the passenger's thermophysiological state, outputting the Fiala Thermal Sensation Index (DTS) and Probability of Discomfort (PPD) for each monitoring point. To enhance the ability to identify local discomfort, an equivalent uniform temperature model is used to verify local thermal sensation in the foot and lower limb areas. Specifically, based on dynamic thermal sensation and predicted dissatisfaction percentage, the comfort result for each representative point is determined. The comfort results of multiple representative points are aggregated, and the aggregated results are combined with a local discomfort penalty mechanism to determine a comprehensive comfort index. The local discomfort penalty mechanism is used to characterize representative points exceeding a local discomfort threshold. and heat transfer rate for:

[0033] in, The average probability of discomfort at the monitoring points; The single-point discomfort probability represents the human thermal comfort dissatisfaction in a single measurement area. (For example, 15%) is the threshold for local discomfort. This is the penalty weighting coefficient; For air supply quality flow rate, This refers to the supply air temperature.

[0034] In some embodiments, the comfort results for each representative point can also be determined based on dynamic thermal sensation, predicted percentage of dissatisfaction, and equivalent uniform temperature.

[0035] Understandable, The heat transfer rate is determined based on the operating data:

[0036] in The specific heat capacity of air at constant pressure. The average temperature of the carriage, of which When this occurs, the representative point is determined to be an infeasible solution and will not participate in the optimal solution update; Based on the control quantity of the impingement jet ventilation, the heat transfer rate of each representative point is calculated. When the heat transfer rate of any representative point exceeds the equivalent load index, the representative point is prohibited from participating in the optimal update and execution output. The equivalent load index includes a fixed threshold and hard constraint filtering conditions. The hard constraint filtering conditions are used to determine the feasibility of candidate representative points. The hard constraint filtering conditions include at least one of the following: supply air flow boundary constraints, supply air temperature boundary constraints, supply air outlet height boundary constraints, control quantity change rate constraints, equivalent load upper limit constraints, and execution safety constraints. When a candidate representative point does not meet any hard constraint filtering condition, the corresponding representative point is determined to be an infeasible solution. Infeasible solutions do not participate in the optimal solution update and execution output.

[0037] For example, the surface point refers to the area being monitored, which can measure and provide feedback on the thermal comfort and dissatisfaction of the monitored area as well as the equivalent uniform temperature in real time.

[0038] It is understood that the feasible region in the embodiments of the present invention refers to the representative point (corresponding monitored area) that satisfies the fixed threshold and hard constraint filtering conditions.

[0039] After obtaining operating condition data, the system in this embodiment of the invention calls the thermal comfort evaluation module to calculate thermal sensation and thermal discomfort indicators representing passengers based on the human body's thermal regulation mechanism. For example, it uses the Fiala thermal regulation model to output thermal perception and thermal comfort satisfaction, and can be supplemented with equivalent uniform temperature (EHT) for discomfort diagnosis of local parts or areas to maintain high evaluation fidelity under non-uniform air supply and temperature distribution conditions. In one embodiment, the system selects passengers with spatially representative positions as monitoring objects, covering the non-direct airflow area at the door, the direct airflow area, and the central area of ​​the passage, and simultaneously considers standing and sitting postures, thereby ensuring that the comfort evaluation has coverage and transferability for non-uniform thermal environment and passenger distribution changes in the carriage.

[0040] Furthermore, embodiments of the present invention further aggregate the comfort results of multiple representative points to form an average discomfort item, and introduce a local discomfort penalty mechanism (if any representative point exceeds the threshold, a penalty is triggered or the weight is increased), thereby explicitly incorporating the "risk of local overcooling or overheating" into the optimization objective and avoiding it from being masked by averaging.

[0041] Understandably, if the thermal dissatisfaction in a certain area exceeds the standard, the entire area will be judged as poor. Therefore, there are further constraints on the air supply settings. The heat transfer rate constrains the air supply parameters. In this way, the unlimited increase in flow velocity can be prevented, thus avoiding excessive energy consumption.

[0042] S300 performs joint optimization of the target operating conditions of the air outlet based on comprehensive comfort index, equivalent load index, feasible region and preset boundary conditions, and obtains multiple sets of candidate local optimal solutions.

[0043] In some embodiments, a comprehensive comfort index is used as the primary constraint, and an equivalent load index is used as the secondary constraint. An intelligent optimization algorithm and preset boundary conditions are employed, and multiple candidate local optimal solutions are obtained through iterative search via velocity update, location update, fitness evaluation, individual optimal update, and global optimal update. The preset boundary conditions include a preset air supply mass flow rate range, a preset air supply temperature range, and a preset air outlet height. The intelligent optimization algorithm includes one of the following: particle swarm optimization, genetic algorithm, differential evolution algorithm, simulated annealing algorithm, online constraint optimization method based on model predictive control, policy search method based on reinforcement learning, and fast approximate optimization method combined with surrogate model.

[0044] S400 selects the optimal solution from multiple candidate local optimal solutions based on the strategy template to obtain the three-dimensional control command.

[0045] In some embodiments, a ternary control instruction is obtained by selecting the best from multiple candidate local optimal solutions based on a strategy template and smoothing processing. The smoothing processing is used to perform amplitude limiting, speed limiting and filtering smoothing on the control quantity. The control quantity of the ternary control instruction includes adjusting the air supply flow rate, adjusting the air supply temperature and adjusting the air supply outlet height.

[0046] The S500, based on the three-element control command, performs corresponding control processing through the impact jet fan, heat control unit, and air outlet height adjustment mechanism.

[0047] In some embodiments, a three-dimensional control command is sent to the impingement jet fan and control processing is performed. The environmental status and operating conditions of the carriage after control processing are collected. Closed-loop feedback is performed based on the environmental status and operating conditions of the carriage after control processing. The collection of environmental status and operating conditions of the carriage and the coordinated control of the subway impingement jet ventilation are performed cyclically.

[0048] For example, refer to Figure 2 The flowchart shown is a collaborative control scheme for thermal comfort and energy consumption in subway car compartments based on impingement jet air supply and particle swarm optimization. Examples of this scheme include embodiments S100 to S300, as detailed below: A particle swarm optimization algorithm is used for multi-parameter joint optimization. The number of particles N=5, the maximum number of iterations T=20, the inertia weight ω=0.7, the individual learning factor c1=1.5, and the swarm learning factor c2=2.0. The following process is executed in each control cycle: Initialize the particle swarm and randomly generate several candidate representative points within the feasible region of the control variables; Calculate the comfort evaluation function F for each particle and determine its energy consumption feasibility. Update particle velocity and position, and force the variables to fall within the allowed range; Update individual optimality and group optimality; After reaching the maximum number of iterations, several candidate local optima are output.

[0049] In this embodiment, the optimization results typically exhibit two typical operating modes: Mode A: Lower supply air temperature + medium supply air flow rate + air outlet height close to 0.08m; Mode B: Higher supply air temperature + larger supply air flow rate + air outlet height of approximately 0.07-0.09m.

[0050] Mode A has a significant advantage in terms of energy consumption, while Mode B performs better in suppressing local temperature stratification. The system selects the appropriate mode based on the current operational objectives (energy saving priority or uniformity priority) and generates the final control command.

[0051] Robust control and anomaly rollback: This embodiment of the invention continuously monitors the rate of change in comfort and the triggering of local penalty terms. When a rapid deterioration in comfort or continuous exceedance of local discomfort thresholds is detected, re-optimization is immediately triggered. When sensor anomalies or optimization fails to yield a feasible solution, the system automatically rolls back to a safe operating template (e.g., =1.8kg / s, =22℃, H=0.08m), to ensure basic comfort and energy safety boundaries.

[0052] refer to Figure 3 The diagram shown illustrates the coordinated control process of thermal comfort and energy consumption in a subway car based on impingement jet air supply and genetic algorithm. It includes the system hardware and environmental configuration, control variables and parameter settings, and the comfort evaluation model. Figure 2 The embodiments shown are the same, and their optimization algorithms and control flows are as follows: This embodiment uses a genetic algorithm to jointly optimize multiple control variables. The population size is set to... The maximum number of iterations is Crossover probability Probability of mutation And an elite retention strategy is enabled to ensure the stable inheritance of the global optimal solution.

[0053] Each individual is represented by a candidate representative point using real-number encoding, and its chromosome structure is represented as follows:

[0054] The optimization process within each control cycle includes: Randomly generate the initial population within the feasible region of the control variables; Calculate the comfort evaluation function for each individual. Energy consumption feasibility is assessed, and individuals that are not feasible are not included in the fitness ranking. Individual selection is performed based on fitness values, with high-fitness individuals being preferred as parents; Crossover operations are performed on parent individuals according to the set crossover probability to generate offspring individuals; Random perturbations are applied to offspring individuals according to their mutation probabilities to enhance search diversity; Building a new generation of populations by combining elite preservation strategies; Update the globally optimal individual and determine if the maximum number of iterations has been reached; After the termination condition is met, several candidate optimal solutions are output.

[0055] In this embodiment, the optimization results are basically the same as those obtained in Embodiment 1, cross-validating the accuracy of the two algorithms. Furthermore, robust control and anomaly rollback are also effective in this embodiment.

[0056] Without deviating from the overall concept of "ventilation control for coordinated optimization of thermal comfort and energy consumption in subway car rooms," each functional module and control process of this invention can be implemented in various equivalent ways. First, regarding thermal comfort evaluation, although the embodiments calculate passenger thermal comfort based on a human thermal regulation mechanism model, this invention is not limited to this specific model form. Any model that can reflect the human thermal physiological state and output comfort or discomfort indicators can be used as an alternative, such as a multi-node human thermal balance model, a local thermal sensation model combined with skin temperature prediction, a hybrid evaluation model that integrates equivalent uniform temperature (EHT), or a machine learning prediction model trained based on historical comfort samples. As long as it can comprehensively evaluate the comfort of passengers at multiple locations under non-uniform airflow and temperature distribution conditions and support the identification of local discomfort, it can achieve the same technical effect as this invention.

[0057] Regarding the construction of energy consumption constraints and optimization objectives, this invention is not limited to using the heat transfer rate of ventilation to remove sensible heat as a proxy indicator for energy consumption. It can also be replaced by a weighted combination of instantaneous power of the chiller unit, cumulative electrical energy consumption, fan power, and cooling power, or an energy consumption indicator corresponding to a unit improvement in comfort. Energy consumption can be introduced into the optimization process as a hard constraint or as a trade-off objective in multi-objective optimization. As long as comfort adjustment can be achieved while ensuring the economical operation of the system, it is an equivalent substitution of the energy consumption control mechanism of this invention. Regarding the collaborative optimization solution method, although the embodiments use particle swarm optimization and genetic algorithms for multi-parameter joint optimization, differential evolution algorithms, simulated annealing algorithms, online constraint optimization methods based on model predictive control, or policy search methods based on reinforcement learning, as well as fast approximate optimization methods combined with surrogate models, can also be used. As long as a collaborative adjustment scheme for multiple control parameters can be output under the conditions of comfort objectives and energy consumption constraints, it should be considered an equivalent implementation of the control decision module of this invention.

[0058] Regarding the dimensions of control parameters and ventilation structure, this invention is not limited to a three-variable combination of supply air mass flow rate, supply air temperature, and supply air outlet height, or a low-position sidewall air supply structure. The control variables can be expanded or replaced with various parameter combinations such as supply air velocity, supply air angle, air volume distribution ratio in different supply air sections, return air outlet location or ratio, and the on / off status of local auxiliary air supply devices. As long as the system remains based on multi-position passenger thermal comfort evaluation and coordinates the adjustment of multiple control parameters under energy consumption constraints, the same technical objective as this invention can be achieved, representing an equivalent alternative at the structural and control object levels.

[0059] Regarding system architecture and methodology, this invention can be deployed in an onboard control unit to form an independent closed-loop control system, or it can adopt a layered architecture of onboard edge computing and cloud-based collaborative optimization, or it can be modularly integrated with a subway integrated monitoring system. In terms of process implementation, comfort calculation and energy consumption assessment can be merged into a unified multi-objective evaluation function, or an event-triggered mechanism can be used to replace fixed-cycle optimization, initiating a re-optimization process only when comfort or energy consumption indicators exceed limits. Alternatively, under certain operating conditions, a running strategy can be directly selected from a strategy template library, skipping real-time searching. The above system architecture adjustments and step rearrangements do not change the core idea of ​​"multi-parameter collaborative optimization control"; they are all equivalent implementation methods at the method and system levels.

[0060] Figure 4 This is a schematic diagram of a coordinated control device for subway impact jet ventilation according to an embodiment of the present invention. The device includes a first module 410, a second module 420, a third module 430, a fourth module 440, and a fifth module 450.

[0061] The system comprises five modules: the first module acquires data on the environmental status and operating conditions of the passenger compartment; the second module determines the comprehensive comfort index and equivalent load index based on the human body's thermal regulation mechanism, and determines the feasible region based on the equivalent load index; the third module performs joint optimization of the target operating conditions of the air outlet based on the comprehensive comfort index, equivalent load index, feasible region, and preset boundary conditions to obtain multiple sets of candidate local optimal solutions; the fourth module selects the best solution from the multiple candidate local optimal solutions based on the strategy template to obtain the ternary control command; and the fifth module executes the corresponding control processing through the impact jet fan, heat control unit, and air outlet height adjustment mechanism according to the ternary control command.

[0062] For example, with the cooperation of the first, second, third, fourth, and fifth modules in the device, the embodiment device can implement any of the aforementioned collaborative control methods for subway impingement jet ventilation, namely, acquiring the environmental status and operating condition data of the carriage; determining the comprehensive comfort index and equivalent load index based on the operating condition data using the human body's thermal regulation mechanism, and determining the feasible region based on the equivalent load index; jointly optimizing the target operating condition of the air outlet based on the comprehensive comfort index, equivalent load index, feasible region, and preset boundary conditions to obtain multiple sets of candidate local optimal solutions; selecting the best solution from multiple sets of candidate local optimal solutions based on the strategy template to obtain a ternary control command; and executing corresponding control processing through the impingement jet fan, heat control unit, and air outlet height adjustment mechanism based on the ternary control command. The beneficial effects of this invention are as follows: Real-time feedback is achieved by constructing a thermal comfort model based on refined human body assessment. For example, relying on the Fiala thermal regulation model, the human body is divided into multiple surfaces to refine thermal comfort indicators. Furthermore, the equivalent uniform temperature (EHT) model can be used to accurately assess the thermal comfort characteristics of different body parts, thus promoting precise response of the impingement jet ventilation control. A local discomfort penalty mechanism is introduced to prevent the system from sacrificing the comfort of a few areas for overall indicator improvement, ensuring thermal comfort is achieved throughout the entire space and in specific areas of the vehicle. Multiple operating strategy templates and an online optimization mechanism are constructed to adapt to different operating modes such as energy saving priority or comfort priority, achieving real-time performance of the impingement jet ventilation control.

[0063] This invention also provides an electronic device, which includes a processor and a memory; The memory stores the program; The processor executes a program to perform the aforementioned collaborative control method for subway impact jet ventilation; the electronic device has the function of carrying and running a software system for collaborative control of subway impact jet ventilation provided in the embodiments of the present invention, such as a personal computer, minicomputer, mainframe, workstation, network or distributed computing environment, standalone or integrated computer platform, or communicating with charged particle tools or other imaging devices, etc.

[0064] This invention also provides a computer-readable storage medium storing a program that is executed by a processor to implement the coordinated control method for subway impact jet ventilation as described above.

[0065] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this invention are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented in the embodiments of this invention. Alternative embodiments are contemplated, in which the order of various operations is changed and sub-operations described as part of a larger operation are executed independently.

[0066] This invention also discloses a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device can read the computer instructions from the computer-readable storage medium and execute the computer instructions, causing the computer device to perform the aforementioned coordinated control method for subway impact jet ventilation.

[0067] Furthermore, although the invention has been described in the context of functional modules, it should be understood that, unless otherwise stated, one or more of the described functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the invention. Rather, considering the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed in the embodiments of the invention, the actual implementation of the module will be understood within the scope of conventional skill of an engineer. Therefore, those skilled in the art can implement the invention as set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the invention, which is determined by the full scope of the appended claims and their equivalents.

[0068] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0069] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can include, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0070] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0071] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0072] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0073] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

[0074] The above is a detailed description of the preferred embodiments of the present invention, but the present invention is not limited to the embodiments described. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and these equivalent modifications or substitutions are all included within the scope defined by the claims of this application.

Claims

1. A coordinated control method of subway impinging jet ventilation, characterized by, include: Acquire data on the environmental status and operating conditions of the carriage; Based on the aforementioned working condition data, the comprehensive comfort index and equivalent load index are determined using the human body's thermal regulation mechanism, and the feasible region is determined based on the equivalent load index. Based on the comprehensive comfort index, equivalent load index, feasible region and preset boundary conditions, the target operating condition of the air outlet is jointly optimized to obtain multiple sets of candidate local optimal solutions. Based on the strategy template, the optimal solution is selected from multiple candidate local optimal solutions to obtain the three-dimensional control command; According to the three-element control command, the corresponding control processing is performed through the impact jet fan, the heat control unit, and the air outlet height adjustment mechanism.

2. The coordinated control method of subway impinging jet ventilation according to claim 1, characterized in that, The acquisition of the carriage environment status and operating condition data also includes: In each control cycle, the environmental status of the carriage and the operating data are collected, and the control quantity of the impingement jet ventilation is determined based on the operating data. The environmental status of the carriage includes the average temperature of the carriage and the temperature at multiple measuring points at different heights. The operating data includes the supply air temperature, supply air flow rate and supply outlet height.

3. The coordinated control method of subway impinging jet ventilation according to claim 2, characterized in that, The process of determining a comprehensive comfort index and an equivalent load index based on the operating condition data and using the human body's thermal regulation mechanism, and determining a feasible region based on the equivalent load index, includes: Based on the human body's thermal regulation mechanism, the Fiala thermal regulation model was used to determine dynamic thermal sensation and predict the percentage of dissatisfaction. The comfort result for each representative point is determined based on dynamic thermal sensation and the predicted percentage of dissatisfaction. aggregating the comfort results of the plurality of representative points, collecting an aggregated result, and determining a comprehensive comfort index with a local discomfort penalty mechanism, wherein the local discomfort penalty mechanism is used to represent the representative points exceeding a local discomfort threshold, the comprehensive comfort index and a heat transfer rate is: in, The average probability of discomfort at the monitoring points. For the probability of discomfort at a single point, The threshold for local discomfort. This is the penalty weighting coefficient; The heat transfer rate is determined based on the operating data: in The specific heat capacity of air at constant pressure. The average temperature of the carriage. For air supply quality flow rate, For supply air temperature; Based on the control quantity of the impingement jet ventilation, the heat transfer rate of each representative point is calculated. When the heat transfer rate of any representative point exceeds the equivalent load index, the representative point is prohibited from participating in the optimal update and execution output. The equivalent load index includes a fixed threshold and hard constraint filtering conditions. The hard constraint filtering conditions are used to determine the feasibility of candidate representative points. The hard constraint filtering conditions include at least one of the following: supply air flow boundary constraint, supply air temperature boundary constraint, supply air outlet height boundary constraint, control quantity change rate constraint, equivalent load upper limit constraint, and execution safety constraint. When a candidate representative point does not meet any hard constraint filtering condition, the corresponding representative point is determined to be an infeasible solution. Infeasible solutions do not participate in the optimal solution update and execution output.

4. The coordinated control method for subway impingement jet ventilation according to claim 1, characterized in that, The method involves jointly optimizing the target operating conditions of the air outlet based on comprehensive comfort index, equivalent load index, feasible region, and preset boundary conditions to obtain multiple sets of candidate local optimal solutions, including: Using the comprehensive comfort index as the primary constraint and the equivalent load index as the secondary constraint, an intelligent optimization algorithm and preset boundary conditions are employed. Through iterative search involving velocity updates, location updates, fitness evaluation, individual optimal updates, and global optimal updates, multiple sets of candidate local optimal solutions are obtained. The preset boundary conditions include preset supply air mass flow rate range, preset supply air temperature range, and preset supply air outlet height. The intelligent optimization algorithm includes one of the following: particle swarm optimization, genetic algorithm, differential evolution algorithm, simulated annealing algorithm, online constraint optimization method based on model predictive control, policy search method based on reinforcement learning, and fast approximate optimization method combined with surrogate model.

5. The coordinated control method for subway impingement jet ventilation according to claim 4, characterized in that, The step of selecting the optimal solution from multiple candidate local optima based on the strategy template to obtain the ternary control command also includes: Based on the strategy template and smoothing process, the optimal solution is selected from multiple candidate local optima to obtain the three-dimensional control command. The smoothing process is used to limit the amplitude, limit the speed and smooth the filter of the control quantity. The control quantity of the three-dimensional control command includes adjusting the air supply flow rate, adjusting the air supply temperature and adjusting the air supply outlet height.

6. The coordinated control method for subway impingement jet ventilation according to claim 5, characterized in that, The process of executing corresponding control procedures through the impact jet fan, heat control unit, and air outlet height adjustment mechanism according to the three-element control command includes: The three-dimensional control command is sent to the impingement jet fan and the control processing is executed. The environmental status and operating condition data of the carriage after the control processing are collected. Closed-loop feedback is executed based on the environmental status and operating condition data of the carriage after the control processing. In addition, the collection of environmental status and operating condition data of the carriage and the coordinated control of the subway impingement jet ventilation are executed cyclically.

7. The coordinated control method for subway impingement jet ventilation according to claim 6, characterized in that, The method further includes: If comfort deteriorates rapidly, local penalties are triggered, equivalent load indicators exceed thresholds, or data collection or execution deviations increase, the strategy template will be replaced with a safe operation template until the anomaly is resolved.

8. A coordinated control device for subway impact jet ventilation, characterized in that, include: The first module is used to acquire the environmental status and operating condition data of the carriage. The second module is used to determine the comprehensive comfort index and the equivalent load index based on the working condition data and the human body's thermal regulation mechanism, and to determine the feasible region based on the equivalent load index. The third module is used to jointly optimize the target operating conditions of the air outlet based on the comprehensive comfort index, equivalent load index, feasible region and preset boundary conditions, and obtain multiple sets of candidate local optimal solutions. The fourth module is used to select the best solution from multiple candidate local optima based on the strategy template to obtain the ternary control command. The fifth module is used to perform corresponding control processing through the impact jet fan, heat control unit and air outlet height adjustment mechanism according to the three-element control command.

9. An electronic device, characterized in that, Including the processor and memory; The memory is used to store programs; The processor executes the program to implement the coordinated control method for subway impact jet ventilation as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The storage medium stores a program that is executed by a processor to implement the coordinated control method for subway impact jet ventilation as described in any one of claims 1-7.

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