Control method and power-saving analysis method for air conditioning system of railway vehicle

Abstract

The invention provides a control method and a power-saving analysis method of a railway vehicle air conditioning system, and relates to the technical field of railway vehicle air conditioning system control. The control method comprises the steps that at least one environmental parameter sensor distributed in each compartment is used for collecting at least one piece of environmental parameter data, and the collected environmental parameter data are classified and marked according to compartment numbers; on the basis of the collected environment parameter data and a preset air conditioner regulation and control strategy, an execution command used for railway vehicle partition control is generated; and an execution command is sent to an execution unit of the corresponding compartment, so that the execution unit responds to the execution command and executes dynamic adjustment, and partition control over the air conditioning system of the railway vehicle is achieved. According to the method, through decision making of zone control, dynamic adjustment, intelligent management and data driving, the comfort, reliability and energy utilization efficiency of the rail vehicle air conditioning system are remarkably improved, and meanwhile the adaptability and flexibility of the system are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of rail vehicle air-conditioning system control, and in particular to a control method and a power-saving analysis method for a rail vehicle air-conditioning system. Background Art

[0002] Current rail air conditioning technology is centered around centralized cooling, variable frequency control, and heat recovery systems. Energy efficiency is optimized through magnetic levitation direct expansion technology, aluminum bellows heat exchangers, and SVPWM variable frequency control. However, the system still faces technical bottlenecks such as heat loss in centralized cooling pipes, insufficient adaptability to extreme climates, and frequent defrosting during condensing and dehumidification. The industry is working to break through the energy efficiency ceiling through intelligent upgrades and the application of new materials. Existing rail vehicle air conditioning systems mostly use centralized control strategies, using a single sensor to collect average environmental parameters for the entire train and then uniformly adjust compressor power and air volume.

[0003] However, this technology has significant drawbacks: high energy consumption and extensive regulation. Centralized control cannot distinguish between environmental differences between carriages, causing the compressor to run at full power for extended periods, wasting energy. For example, a carriage with fewer passengers might use the same cooling intensity as a fully loaded carriage, increasing energy consumption and reducing comfort. Summary of the Invention

[0004] The object of the present invention is to provide a control method and a power-saving analysis method for a rail vehicle air-conditioning system, which are based on a rail vehicle air-conditioning zoning control method and a power-saving strategy based on multi-parameter fusion.

[0005] To achieve the above-mentioned objectives, an embodiment of the present invention provides a method for controlling a rail vehicle air-conditioning system, wherein the rail vehicle air-conditioning system includes at least one environmental parameter sensor, a control center, and an execution unit. The method for controlling the rail vehicle air-conditioning system is applied to the control center. The method for controlling the rail vehicle air-conditioning system includes: utilizing the at least one environmental parameter sensor distributed in each carriage to collect at least one environmental parameter data, and classifying and marking the collected environmental parameter data according to the carriage number; generating an execution command for rail vehicle zoning control based on the collected at least one environmental parameter data and a preset air-conditioning control strategy; and sending the execution command to the execution unit of the corresponding carriage, so that the execution unit responds to the execution command and performs dynamic adjustment to realize zoning control of the rail vehicle air-conditioning system.

[0006] Furthermore, the at least one environmental parameter data includes key parameters and correction parameters; the key parameters include the interior temperature, exterior temperature, interior humidity and carbon dioxide corresponding to individual compartments; the correction parameters include the number of passengers and the light intensity outside the vehicle.

[0007] Furthermore, the passenger flow number is calculated using passenger flow counters installed at the entrances and exits of the carriages and at the connections between adjacent carriages; and the light intensity is measured using light sensors installed outside the carriages.

[0008] Furthermore, the execution unit includes an air circulation system, a temperature control module, and a humidity control module; the air circulation system is used to independently supply air to each compartment, the temperature control module is used to adjust the supply air temperature, and the humidity control module is used to adjust the supply air humidity.

[0009] Furthermore, based on the collected at least one environmental parameter data and the preset air-conditioning control strategy, an execution command for rail vehicle zoning control is generated, including: calculating the target power of the air conditioner according to the preset temperature, the humidity inside the vehicle, the temperature difference between the inside and outside of the vehicle, and the thermal conductivity of the vehicle, and then correcting the target power of the air conditioner based on the number of passengers and the light intensity in the vehicle, and performing adjustment with the target power of the air conditioner to prevent the air conditioner from running at full power and reduce temperature control oscillation.

[0010] Furthermore, the temperature regulating module includes a compressor and a motor, and both the compressor and the motor are configured with a variable frequency controller, and the variable frequency controller adjusts the air supply temperature and air supply volume according to the execution command.

[0011] Furthermore, the humidity adjustment module generates an execution command for rail vehicle zoning control based on at least one collected environmental parameter data and a preset air conditioning control strategy, including: when the humidity parameter data exceeds a preset upper limit value, starting the condensation and dehumidification function of the humidity adjustment module to adjust the supply air humidity.

[0012] Furthermore, the air circulation system includes a fresh air system and an internal circulation system. The air circulation system generates an execution command for rail vehicle zoning control based on at least one collected environmental parameter data and a preset air-conditioning control strategy, including: when the carbon dioxide parameter exceeds a preset value, the fresh air system is turned on by an execution command from the control center. The fresh air system is connected to the air outside the car, collected through a purifier, and then replenished into the car.

[0013] Furthermore, a flow detection sensor is provided at the fresh air system, and the temperature adjustment module calculates the compensation power of the compressor based on the detected fresh air flow parameters and the outside temperature of the vehicle to ensure the stability of the supply air temperature.

[0014] The present invention also discloses a power-saving analysis method, which includes: controlling the target rail vehicle air-conditioning system based on the above-mentioned rail vehicle air-conditioning system control method; obtaining historical power consumption data of the target rail vehicle air-conditioning system and historical operating data affecting power consumption; based on the obtained historical power consumption data and historical operating data affecting power consumption, converting the correlation calculation between operating parameters and power consumption into a quadratic inequality optimization model to screen key influencing factors affecting power consumption on a quantum computing simulator; and adjusting the preset air-conditioning control strategy based on the screened key influencing factors and in combination with environmental parameter data.

[0015] Beneficial effects: This invention proposes a control method for a rail vehicle air-conditioning system. Through zoning control, dynamic adjustment, intelligent management, and data-driven decision-making, it significantly improves the comfort, reliability, and energy efficiency of the rail vehicle air-conditioning system, while also enhancing the system's adaptability and flexibility. By collecting and classifying environmental parameter data from each compartment, zoning control is performed based on the environmental conditions of different compartments, achieving more precise air-conditioning adjustment. Furthermore, dynamic instructions can be generated based on the real-time collected environmental parameters and preset air-conditioning control strategies and transmitted to the execution unit, allowing the air-conditioning system to quickly adapt to environmental changes and maintain a stable environment within the compartments.

[0016] The present invention also provides a power-saving analysis method for rail vehicle air-conditioning systems. By combining the control method of rail vehicle air-conditioning systems with historical data, a quantum computing simulator is used to efficiently screen key influencing factors and optimize air-conditioning control strategies, which has significant technical advantages. This method is based on an in-depth analysis of historical electricity consumption data and operating parameters. It accurately identifies key factors affecting electricity consumption through a quadratic inequality optimization model, avoiding the reliance on redundant data in traditional methods and significantly improving analysis efficiency. Secondly, quantum computing can significantly shorten the solution time of complex models and provide technical support for real-time optimization. This method can dynamically adjust air-conditioning strategies in combination with environmental parameters, significantly reducing energy consumption while ensuring passenger comfort, and achieving a balance between energy saving and user experience.

[0017] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following detailed description, they are used to explain the embodiments of the present invention, but do not constitute a limitation of the embodiments of the present invention. In the accompanying drawings: Figure 1 It is a schematic diagram of the system workflow provided by an embodiment of the present invention.

[0019] Figure 2This is a calculation flow chart provided by an embodiment of the present invention.

[0020] Figure 3 It is a flowchart of the power saving analysis method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0022] Different from the extensive vehicle control strategy of traditional technology, the present invention adopts the method of setting at least one environmental parameter sensor, a control center and an execution unit in each independent compartment.

[0023] Figures 1 to 2 FIG. 1 is a flow chart of a method for controlling a rail vehicle air conditioning system according to an embodiment of the present invention. Figure 1 As shown, the method for controlling the rail vehicle air conditioning system may include the following steps: Step S100: Utilize the at least one environmental parameter sensor distributed in each carriage to collect at least one environmental parameter data, and classify and mark the collected environmental parameter data according to the carriage number.

[0024] In an embodiment of the present application, a classification marking method can be used so that the data of each carriage can be recorded and stored independently, avoiding confusion and interference between the data and ensuring the originality and integrity of the data, so that the data of each carriage can be individually analyzed and traced during the traceability process, facilitating subsequent feedback.

[0025] The at least one environmental parameter data preferably in the embodiment of the present application may include: key parameters and correction parameters, etc.

[0026] The preferred key parameters of the embodiment of the present application may include the interior temperature, exterior temperature, interior humidity, and carbon dioxide concentration corresponding to individual compartments; the correction parameters may include the number of passengers and the light intensity outside the vehicle.

[0027] Among them, the temperature inside the car and the temperature outside the car can be obtained through temperature sensors installed inside or outside the car, and the humidity and carbon dioxide concentration inside the car can be obtained through humidity sensors and carbon dioxide sensors installed in the car.

[0028] In a preferred embodiment of the present application, the passenger flow number parameter can be calculated using passenger flow counters installed at the entrance and exit of the carriage and at the connection between adjacent carriages. The light intensity is measured using a light sensor installed outside the carriage.

[0029] Step S200: generating an execution command for rail vehicle zoning control based on the collected at least one environmental parameter data and a preset air-conditioning control strategy.

[0030] The embodiment of the present application can generate independent control instructions based on the environmental parameter data of a single compartment, so that the temperature, humidity and carbon dioxide concentration in each compartment are in an appropriate state, thereby improving the passenger riding experience.

[0031] Among them, the interior temperature, exterior temperature, interior humidity, and carbon dioxide concentration are directly related to the three key functions of the air conditioning system: cooling and air dehumidification. These parameters are key factors affecting the cabin air conditioning power. Furthermore, passengers emit heat through breathing and movement, affecting the cabin temperature. Direct sunlight also raises the cabin temperature, affecting the cabin temperature. Therefore, passenger volume and exterior light intensity are used as correction parameters in this solution to adjust the cabin air conditioning power through calculation.

[0032] The first issue that needs to be considered in the air conditioning control solution is temperature. Ensuring that the temperature in the vehicle cabin is at the appropriate level is the main task of the air conditioning system.

[0033] The air conditioning power in the cabin generated by the temperature parameter is shown in the following formula: Where, The temperature control power generated by the vehicle air conditioner based on the temperature parameters, For the preset temperature, is the temperature inside the car, is the outside temperature, τ is the integral variable, and k is the thermal conductivity of the vehicle; 、 are weight coefficients respectively.

[0034] For example, people feel relatively comfortable at a temperature between 24 and 28 degrees Celsius. Therefore, the cabin temperature can be set according to the comfortable temperature. The value range of is, for example, 24-28° C. The difference between the preset temperature and the real-time vehicle interior temperature is the main factor affecting the air conditioning power.

[0035] In formula (1), It can be used to reflect the impact of the difference between the current temperature in the car and the preset temperature on the air conditioner output power. When the difference between the current temperature in the car and the preset temperature is large, the value will increase significantly, which means that the air conditioner needs to output more power to adjust the temperature. The exponential function in the denominator of this formula is: , which acts as a smoothing regulator. When the temperature difference is large, the exponential function increases rapidly, keeping the value of the entire fraction within a certain range and avoiding excessively drastic changes in power output. This simulates the actual situation of an air conditioning system gradually increasing its power output under large temperature differences, rather than instantly reaching maximum power. This results in a smooth change in air conditioning output power, thus achieving energy savings.

[0036] In formula (1), The primary consideration is the impact of the outside temperature on the vehicle's internal temperature regulation. The difference between the outside and inside temperatures reflects the degree to which the external environment interferes with the vehicle's internal thermal balance. A larger value indicates a greater impact on the internal temperature, and the air conditioner requires more power to offset this effect. The numerator of the second term is a cubic term, which amplifies the effect of the difference between inside and outside temperatures. A large difference between inside and outside temperatures significantly increases air conditioner power.

[0037] For the weight coefficient and ,in > , the air conditioner can use the difference between the temperature inside the car and the preset temperature as the main control indicator.

[0038] Humidity inside the vehicle cabin is also an important factor affecting ride comfort. When the humidity parameter data exceeds a preset upper limit, the control center generates a control instruction to activate the condensation dehumidification function of the humidity control module to adjust the supply air humidity.

[0039] The control instructions are generated based on the humidity parameters through the following formula: Where, The air conditioning power required for dehumidification. is the calculation cycle. The interior volume of the carriage. For the air circulation cycle. is the latent heat of vaporization of water, which is approximately 2260000 J / kg. is the density of air, which is approximately 1.2 kg / m³. is the dehumidification efficiency of the air conditioning system, dimensionless, ranging from 0 to 1, and determined according to the performance of the air conditioning system. is the thermal resistance of the condenser, is the thermal resistance of the evaporator.

[0040] in, The absolute humidity of the air in the vehicle is the difference between the preset humidity upper limit, which can be calculated as follows: in, The real-time humidity in the car. The preset humidity upper limit.

[0041] The above control method is only applicable to When the humidity in the vehicle is higher than the preset humidity, the dehumidification module is activated to avoid unnecessary operation, thereby achieving energy saving. After the dehumidification module is activated, the power of the dehumidification module can also be adjusted according to the real-time humidity parameters in the vehicle.

[0042] In a preferred embodiment of the present application, the air circulation system may include a fresh air system and an internal circulation system. The air circulation system generates an execution command for rail vehicle zoning control based on at least one collected environmental parameter data and a preset air-conditioning control strategy. It may include: when the carbon dioxide parameter exceeds a preset value, the fresh air system is turned on by an execution command from the control center. The fresh air system is connected to the air outside the car, collected through a purifier, and then replenished into the car.

[0043] The fresh air volume can be calculated using the following formula: Where, is the fresh air flow rate, is the compartment volume, is the real-time concentration of carbon dioxide in the car. is the preset concentration of carbon dioxide, is the air exchange rate, is the weight of fresh air oxygen content.

[0044] when hour, Greater than zero, introduce fresh air. When the air is exhausted, the introduction of fresh air can be reduced or stopped.

[0045] However, there is a temperature difference between the fresh air and the temperature inside the vehicle. Therefore, when the fresh air is introduced, the air conditioner compressor needs to generate additional power to adjust the temperature of the fresh air.

[0046] The fresh air system is equipped with a flow detection sensor. The temperature control module calculates the compensation power of the compressor based on the detected fresh air flow parameters and the outside temperature to ensure the stability of the air supply temperature. The additional power generated by the introduction of fresh air is: Where, is the additional power generated by the introduction of fresh air, is the fresh air flow rate, is the air density, is the specific heat capacity of air, is the temperature inside the car, The temperature outside the vehicle.

[0047] In summary, the air conditioning power of a certain compartment generated by the key parameters is: Where, is the air conditioning power of a certain compartment generated by key parameters, The output power generated by the vehicle air conditioner based on the temperature parameters, The air conditioning power required for dehumidification is is the additional power generated by the introduction of fresh air.

[0048] The method for correcting the air conditioning power in the car according to the number of passengers and the light intensity outside the car is as follows: Where, The corrected power of is the number of passengers in the carriage, is the average heat dissipation per passenger, is the incident angle of sunlight entering the car window, I is the external light intensity, is the total area of ​​the car windows. is the interior volume of the carriage, is the air density, is the specific heat capacity of air. is the thermal resistance of the air conditioning system, is the heat capacity of the air conditioning system, is the initial time constant, in seconds (s), which is the time parameter at the initial startup of the air-conditioning system and is used to describe the dynamic characteristics of the air-conditioning system during the startup phase; t is the time constant, in seconds (s), which is the time parameter for the air-conditioning system to reach a stable state; is the human body radiation heat weight, is the solar radiation weight.

[0049] in, The total heat dissipated by the vehicle. As the number of passengers increases, the amount of heat dissipated gradually increases. In summer, more power is needed to maintain the temperature inside the vehicle within a comfortable range. In winter, the corresponding power can be reduced.

[0050] Similarly, sunlight entering a vehicle's cabin will cause the temperature inside to rise. This warming effect is particularly pronounced in areas with strong sunlight. Furthermore, the warming effect of sunlight is also related to the angle of incidence of the sunlight.

[0051] In summary, after correction, the output power of the air conditioner in a certain compartment can be expressed as: Where, is the output power of the air conditioner in a single carriage after correction, The air conditioning power in the cabin is generated by key parameters. To correct the power, Number the carriage. It is 0 in summer and 1 in winter.

[0052] The total power of rail vehicles in air conditioning can be calculated by the following formula: Where, is the total power of rail vehicle air conditioning, is the output power of the air conditioner in a single carriage after correction, Number the carriage. is the total number of carriages.

[0053] The control center calculates the target power of the air conditioner based on the preset temperature, humidity inside the car, temperature difference between inside and outside the car, and thermal conductivity of the car. It then corrects the target power of the air conditioner based on the number of passengers and light intensity in the car. Adjustments are performed based on the target power of the air conditioner to prevent the air conditioner from running at full power and reduce temperature control oscillations.

[0054] Step S300: Send the execution command to the execution unit of the corresponding car, so that the execution unit responds to the execution command and performs dynamic adjustment to achieve zoning control of the rail vehicle air-conditioning system.

[0055] The execution unit includes an air circulation system, a temperature adjustment module, and a humidity adjustment module.

[0056] The air circulation system independently supplies air to each compartment. It consists of a fresh air system and an internal circulation system. The fresh air system draws in fresh air from outside the vehicle, reducing carbon dioxide concentrations and ensuring passengers breathe fresh air. The internal circulation system circulates air within the vehicle, ensuring consistent temperature and humidity throughout the vehicle. Furthermore, the internal circulation system can be equipped with filtration components to filter out harmful substances such as dust, bacteria, and viruses, maintaining cleanliness and enhancing passenger comfort.

[0057] The temperature regulation module includes a compressor and a motor. Both the compressor and the motor are equipped with a variable frequency controller. The variable frequency controller adjusts the air supply temperature and air supply volume according to the execution command.

[0058] The humidity adjustment module includes a condenser and an evaporator, and is used to adjust the humidity of the supply air.

[0059] The embodiment of the present application can collect environmental parameter data of each compartment and classify and mark them, so as to perform zoning control according to the environmental conditions of different compartments, realize more precise air-conditioning adjustment, and reduce the power consumption of the air-conditioning system while improving passenger comfort.

[0060] The embodiment of the present application has intelligent dynamic adjustment capabilities, and can generate dynamic instructions based on real-time collected environmental parameters and preset air-conditioning control strategies, and transmit them to the execution unit, so that the air-conditioning system can quickly adapt to environmental changes and maintain the stability of the environment inside the vehicle.

[0061] In summary, the embodiments of the present application significantly improve the comfort, reliability and energy efficiency of the rail vehicle air-conditioning system through zoning control, dynamic adjustment, intelligent management and data-driven decision-making, while enhancing the adaptability and flexibility of the system.

[0062] like Figure 3 As shown, the embodiment of the present application further provides a power saving analysis method for a rail vehicle air conditioning system, and the power saving analysis method may include the following steps S10-S40: Step S10: Based on the above-mentioned rail vehicle air-conditioning system control method, control the target rail vehicle air-conditioning system; Step S20: Acquire historical power consumption data and historical operation data affecting power consumption of the target rail vehicle air conditioning system; Step S30: Based on the acquired historical electricity consumption data and the historical operating data affecting electricity consumption, the correlation between the operating parameters and the electricity consumption is converted into a quadratic inequality optimization model to screen the key factors affecting electricity consumption on the quantum computing simulator; Step S40: adjusting the preset air conditioning control strategy according to the selected key influencing factors and in combination with the environmental parameter data.

[0063] For example, the analysis method can adopt multi-objective collaborative optimization, introduce Pareto frontier analysis in the QUBO model, and balance multiple objectives such as energy saving rate (≥15%), comfort (PMV compliance rate >95%), and equipment life (compressor start-stop times reduced by 50%).

[0064] First, the conditional mutual information (CMI) between each parameter and energy consumption in the above control method is calculated using the formula: The x, y, and z in the formula can be any combination of the above air conditioning parameters, such as the interior temperature ( ), outside temperature ( ), preset temperature ( ), etc., bring the parameters into the above formula, and use the above formula to filter the parameters with CMI>0.3 into the QUBO model.

[0065] Define binary decision variables ,and , the objective function is: Where, is the CMI value of parameter i, is the redundancy of parameters i and j (absolute value of Pearson correlation coefficient), =0.4 (experience value), and are the decision variables for parameters i and j respectively.

[0066] N is the decision variable for parameter i The number of decision variables Represents a binary choice that can take the value of 0 or 1, for example, whether to turn on the fresh air system within a period of time under the target situation, whether to start the condensation dehumidification function, etc.; N is the total number of these decision variables.

[0067] H is the objective function value of the QUBO model, which indicates the degree of optimization of the system state when the specified parameter i and parameter j are combined.

[0068] The QUBO model can be used to calculate the objective function value H of the optimization degree of each parameter combination in the air-conditioning system. By comparing H, the optimal parameter combination can be obtained, thereby optimizing the combination of each parameter in the air-conditioning system and achieving balanced optimization of multiple objectives such as energy saving, comfort and equipment life.

[0069] The following three scenarios are used to illustrate the air conditioning control strategy: Scenario 1: In special scenarios such as tunnels, the air conditioning system operating parameters are optimized by adjusting the weight of the fresh air oxygen content to meet the comfort and health needs in specific environments.

[0070] GPS positioning technology is used to identify when a train enters a tunnel area, triggering a rule to increase the weight of the fresh air oxygen content. By increasing the weight of the fresh air oxygen content, the air-conditioning system is given priority to introducing more fresh air in this scenario, thereby improving the air quality inside the car and enhancing passenger comfort.

[0071] In this scenario, the triggering rule of the control strategy is: GPS meter enters the tunnel area and the air pressure difference is greater than 200Pa. At this time, adjust the fresh air oxygen content weight To 0.6-0.8.

[0072] By adjusting the weight of the oxygen content in the fresh air, the ventilation performance of the air conditioning system can be optimized according to the external environment to achieve the best ventilation effect. At the same time, the actual operating parameters of the air conditioning system, such as humidity and temperature, can be combined to further optimize the air conditioning control strategy to ensure that comfort requirements are met while also taking into account other objectives such as energy consumption.

[0073] Scenario 2: Under high passenger density conditions, the cooling efficiency of the air-conditioning system and the local comfort of passengers are improved by adjusting the human body radiation heat weight and triggering the directional air supply mode.

[0074] By introducing a binocular vision system to monitor the passenger density in the car in real time, when the passenger density is high, the impact of human body radiant heat on the surrounding environment increases. In addition, due to the crowded passengers, the air circulation between passengers is not smooth, which easily causes the temperature near the outside of the car to be lower and the temperature between passengers to be higher. At this time, it is necessary to change the direction of the air supply of the air conditioner to improve the problem of heat dissipation difficulties between passengers.

[0075] In this scenario, the triggering rule for the control strategy is: when the passenger density is greater than 4 people / m² and the duration exceeds 10 minutes.

[0076] At this time, the human body radiation heat weight To 0.85-0.95, the air conditioning system pays more attention to the heat dissipation needs of the human body, and by enhancing the cooling capacity or adjusting the air supply method, it can promptly and effectively eliminate the heat generated by the human body and improve the overall thermal comfort.

[0077] Scenario 3: When the vehicle is exposed to sunlight for a long time, the power of the air conditioning system compressor is increased by adjusting the solar radiation weight and the set temperature of the air conditioner, and the air supply on the side where the sun is shining is increased.

[0078] In this scenario, the triggering rules for the control strategy are: light intensity > 250,000 lux and roof temperature > 45°C.

[0079] At this time, adjust the solar radiation weight To 0.5-0.7, the set temperature of the air conditioner Increase the temperature by 1°C and change the air direction at the same time, increasing the air volume on the side where the sun is incident to improve the comfort on the side where the sun is shining.

[0080] Scenario 4: A federated learning framework aggregates the operating data of multiple trains to build a dynamic energy consumption baseline model. When real-time power consumption deviates from the baseline value by ±15%, a Bayesian network traceability analysis is initiated to locate the fault parameters and generate a maintenance work order.

[0081] The system uses a federated learning framework to aggregate train operating data and train a representative and accurate dynamic energy consumption baseline model. This model comprehensively considers factors such as the operating conditions and environmental conditions of different trains, reflecting the normal energy consumption level of trains in various situations in real time.

[0082] By comparing real-time power consumption with baseline values, abnormal energy consumption can be detected promptly, providing a basis for subsequent fault tracing and repair. When real-time power consumption deviates from the baseline by ±15%, Bayesian network tracing analysis is initiated. By analyzing the probabilistic relationships and dependency structures between various parameters, the Bayesian network infers the most likely cause of the fault, quickly locating the fault parameter causing the abnormal energy consumption and generating a targeted repair work order.

[0083] This method uses data-driven fault diagnosis and repair to improve the timeliness and accuracy of repairs. It can also effectively reduce the impact of equipment failures on train operations, extend the service life of equipment, help optimize air conditioning control strategies, and avoid energy waste caused by equipment failures.

[0084] The power-saving analysis method provided in the embodiment of the present application combines the control method of the rail vehicle air-conditioning system with historical data, uses a quantum computing simulator to efficiently screen key influencing factors, and optimizes the air-conditioning control strategy, which has significant technical advantages. This method is based on an in-depth analysis of historical electricity consumption data and operating parameters, and accurately identifies key factors affecting electricity consumption through a quadratic inequality optimization model, avoiding the reliance on redundant data in traditional methods and significantly improving analysis efficiency. Secondly, quantum computing can significantly shorten the solution time of complex models and provide technical support for real-time optimization. This method can dynamically adjust the air-conditioning strategy in combination with environmental parameters, significantly reducing energy consumption while ensuring passenger comfort, and achieving a balance between energy saving and experience.

[0085] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0086] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0087] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0089] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0090] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0091] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can be implemented using any method or technology to store information. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change RAM (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

[0092] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not preclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0093] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A method for controlling a rail vehicle air conditioning system, characterized in that: The rail vehicle air conditioning system includes at least one environmental parameter sensor, a control center, and an execution unit. The rail vehicle air conditioning system control method is applied to the control center. The rail vehicle air conditioning system control method includes: Using the at least one environmental parameter sensor distributed in each carriage, collecting at least one environmental parameter data, and classifying and marking the collected environmental parameter data according to the carriage number; generating an execution command for rail vehicle zoning control based on the collected at least one environmental parameter data and a preset air conditioning control strategy; The execution command is sent to the execution unit of the corresponding carriage, and the execution unit responds to the execution command and performs dynamic adjustment to achieve zoning control of the rail vehicle air-conditioning system.

2. A rail vehicle air conditioning system control method according to claim 1, characterized in that: The at least one environmental parameter data includes key parameters and correction parameters; the key parameters include the interior temperature, exterior temperature, interior humidity and carbon dioxide corresponding to individual compartments; the correction parameters include the number of passengers and the light intensity outside the vehicle.

3. A rail vehicle air conditioning system control method according to claim 2, characterized in that: Counting the number of passengers using passenger flow counters installed at the entrances and exits of carriages and at the connections between adjacent carriages; The light intensity is measured using a light sensor installed on the outside of the vehicle.

4. A rail vehicle air conditioning system control method according to claim 2, characterized in that: The execution unit includes an air circulation system, a temperature adjustment module, and a humidity adjustment module; The air circulation system is used to independently supply air to each compartment, the temperature adjustment module is used to adjust the supply air temperature, and the humidity adjustment module is used to adjust the supply air humidity.

5. A rail vehicle air conditioning system control method according to claim 2, characterized in that: The generating of an execution command for rail vehicle zoning control based on the collected at least one environmental parameter data and a preset air conditioning control strategy includes: The target power of the air conditioner is calculated based on the preset temperature, the humidity inside the car, the temperature difference between the inside and outside of the car, and the thermal conductivity coefficient of the car. The target power of the air conditioner is then corrected based on the number of passengers in the car and the light intensity. Adjustments are performed based on the target power of the air conditioner to prevent the air conditioner from running at full power and reduce temperature control oscillations.

6. A rail vehicle air conditioning system control method according to claim 5, characterized in that: The temperature regulating module includes a compressor and a motor. Both the compressor and the motor are equipped with a variable frequency controller. The variable frequency controller adjusts the air supply temperature and air supply volume according to the execution command.

7. A rail vehicle air conditioning system control method according to claim 4, characterized in that: The humidity adjustment module generates an execution command for rail vehicle zoning control based on the collected at least one environmental parameter data and a preset air conditioning control strategy, including: When the humidity parameter data exceeds a preset upper limit, the condensation and dehumidification function of the humidity adjustment module is activated to adjust the supply air humidity.

8. A rail vehicle air conditioning system control method according to claim 4, characterized in that: The air circulation system includes a fresh air system and an internal circulation system. The air circulation system generates an execution command for rail vehicle zoning control based on at least one collected environmental parameter data and a preset air conditioning control strategy, including: When the carbon dioxide parameter exceeds the preset value, the fresh air system is turned on through the execution command of the control center. The fresh air system connects to the air outside the car, collects it through the purifier, and then replenishes it into the car.

9. A rail vehicle air conditioning system control method according to claim 7, characterized in that: The fresh air system is equipped with a flow detection sensor. The temperature control module calculates the compensation power of the compressor based on the detected fresh air flow parameters and the outside temperature of the vehicle to ensure the stability of the supply air temperature.

10. A power saving analysis method for a rail vehicle air conditioning system, using the rail vehicle air conditioning system control method according to any one of claims 1 to 9, characterized in that: The power saving analysis method comprises: Control the target rail vehicle air conditioning system; Obtaining historical power consumption data and historical operation data affecting power consumption of the target rail vehicle air conditioning system; Based on the historical electricity consumption data and historical operating data affecting electricity consumption, the correlation between operating parameters and electricity consumption is converted into a quadratic inequality optimization model to screen the key factors affecting electricity consumption on the quantum computing simulator; Adjust the preset air conditioning control strategy based on the screened key influencing factors and combined with environmental parameter data.

Images