Station energy-saving control methods, systems, devices and electronic equipment

Abstract

This application provides a station energy-saving control method, system, device, and electronic equipment. The method includes: acquiring train characteristic data and environmental data; obtaining analysis results based on the train characteristic data, environmental data, and a preset method, wherein the preset method is used to process the train characteristic data and environmental data to generate the analysis results; and sending control commands based on the analysis results. This application improves upon the shortcomings of related technologies that struggle to control station purification systems in real time, especially controlling electromagnetic devices, achieving effects such as reduced energy consumption, extended lifespan, and easier equipment cleaning.

Description

Technical Field

[0001] This invention relates to the field of environmental purification technology for rail trains, and in particular to a station energy-saving control method, system, device, and electronic equipment. Background Technology

[0002] The most common form of pollutants in fluids is particulate matter pollution in the air, most notably PM2.5, which is inhalable and can severely impact air quality, climate, and human health. Long-term inhalation of pollutants can lead to respiratory diseases such as lung cancer and cardiovascular diseases. Biotoxicological studies have shown that iron-containing particulate matter is highly toxic and causes inflammation four times greater than that caused by general atmospheric particulate matter, thus requiring serious attention.

[0003] In rail transit stations (taking subway stations as an example), the air pollution from iron is extremely severe. The main sources of particulate matter in subways and subway stations are: during braking, the wear of the braking system and brake discs releases fine particulate matter. Some brake pads emit up to 30 mg of particulate matter per kilometer. These particles are on the micrometer scale and are primarily composed of iron and iron oxides, with iron-containing particles accounting for over 74%. Pollutant levels rise sharply when the subway enters the station, increasing by up to 30%. These microparticles cannot dissipate naturally in the confined space (subway stations and subway cars), thus accumulating to extremely high densities, with average concentrations typically exceeding 250 μg / m³. 3 It is 10 times higher than the average pollution level on the ground.

[0004] For purifying iron-containing particulate matter, electromagnetic devices using magnetic filtration are highly efficient, but these devices require significant energy. Furthermore, the ventilation and purification subsystem of urban subway systems consumes a large amount of energy, second only to subway traction power. The electricity consumption of the ventilation and purification subsystem can account for 54-71% of the total electricity consumption of the entire subway station. Reducing the electricity consumption of the ventilation and purification subsystem has always been a key focus of energy conservation efforts. Therefore, determining the appropriate form and operation control mode of the station's ventilation and purification subsystem to reduce pollutants, especially iron-containing particulate matter, protect the station environment, lower the energy consumption of the ventilation and purification subsystem, and facilitate maintenance by staff is crucial to addressing both the station's environmental and energy conservation needs.

[0005] Therefore, existing technologies suffer from the problem that the real-time control of station purification systems, especially electromagnetic devices, is not intelligent, making it difficult to meet the requirements for reducing energy consumption, extending lifespan, and cleaning equipment. Summary of the Invention

[0006] This application provides a station energy-saving control method, system, device, and electronic equipment to at least solve the problem that the related technologies have problems with the lack of intelligence in real-time control of station purification systems, especially electromagnetic devices, which makes it difficult to meet the needs of reducing energy consumption, extending lifespan, and cleaning equipment.

[0007] According to one aspect of the embodiments of this application, a station energy-saving control method is provided, the method comprising:

[0008] Acquire train characteristic data and environmental data;

[0009] Based on the train characteristic data, the environmental data, and the preset method, an analysis result is obtained, wherein the preset method is used to process the train characteristic data and the environmental data to generate the analysis result;

[0010] Based on the analysis results, send control commands.

[0011] According to another aspect of the embodiments of this application, a station energy-saving control system is also provided, the device comprising: a data acquisition subsystem and a regulation and control subsystem;

[0012] The data acquisition subsystem is connected to the regulation and control subsystem and is used to acquire train characteristic data and environmental data, and send the train characteristic data and environmental data to the regulation and control subsystem.

[0013] The adjustment and control subsystem is used to obtain analysis results based on the train characteristic data, the environmental data, and a preset method, and to send control commands based on the analysis results.

[0014] Optionally, the station energy-saving control system further includes: a ventilation and purification subsystem; the ventilation and purification subsystem is connected to the regulation and control subsystem, and is used to receive the control command and switch the corresponding mode according to the control command.

[0015] According to another aspect of the embodiments of this application, a station energy-saving control device is also provided, the device comprising:

[0016] The acquisition module is used to acquire train characteristic data and environmental data;

[0017] The module is used to obtain analysis results based on the train feature data, the environmental data, and a preset method, wherein the preset method is used to process the train feature data and the environmental data to generate the analysis results;

[0018] The sending module is used to send control commands based on the analysis results.

[0019] Optionally, the acquisition module includes:

[0020] The first acquisition unit is used to acquire photoelectric signals, wind speed information, and air quality information;

[0021] The first obtaining unit is used to obtain real-time train arrival and departure data based on the photoelectric signal, the wind speed information, and the air quality information.

[0022] The second acquisition unit is used to acquire the train's scheduling information;

[0023] The second obtaining unit is used to obtain the train characteristic data based on the real-time entry and exit data and the scheduling information;

[0024] The third acquisition unit is used to acquire temperature and humidity information;

[0025] The fourth acquisition unit is used to acquire environmental prediction information;

[0026] The third obtaining unit is used to obtain the environmental data based on the wind speed information, the air quality information, the temperature and humidity information, and the environmental prediction information.

[0027] Optionally, the preset method includes a first preset method and a second preset method, and the obtaining module includes:

[0028] The fourth obtaining unit is used to obtain the start time and the stop time based on the real-time entry and exit data, the scheduling information and the preset time interval;

[0029] The fifth obtaining unit is used to obtain the analysis result based on the first preset method, according to the start time, the shutdown time, and the environmental data.

[0030] The sixth obtaining unit is used to obtain the entry / exit cycle based on the real-time entry / exit data and the scheduling information;

[0031] The seventh obtaining unit is used to obtain the periodic environmental data within each of the entry / exit cycles based on the entry / exit cycles and the environmental data;

[0032] The eighth obtaining unit is used to obtain the control parameters corresponding to each entry and exit cycle based on the second preset method, according to the cycle environment data, preset mode parameters and preset cycle algorithm of each entry and exit cycle;

[0033] The ninth obtaining unit is used to obtain the analysis results based on the entry / exit cycle, the cycle environment data, and the control parameters.

[0034] Optionally, the sending module includes:

[0035] The tenth obtaining unit is used to obtain the target mode based on the environmental data and preset mode parameters;

[0036] The first sending unit is used to obtain and send the control command based on the start time, the stop time and the target mode.

[0037] The eleventh obtaining unit is used to obtain the target mode corresponding to each of the entry and exit cycles based on the cycle environment data and preset mode parameters.

[0038] The second sending unit is used to obtain and send the control command based on the entry / exit cycle, the target mode, and the control parameters.

[0039] According to another aspect of the embodiments of this application, an electronic device is also provided, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; wherein the memory is used to store a computer program; and the processor is used to execute the method steps of any of the above embodiments by running the computer program stored in the memory.

[0040] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, wherein a computer program is stored therein, wherein the computer program is configured to execute the method steps of any of the above embodiments when running.

[0041] In this embodiment, train characteristic data and environmental data are acquired; analysis results are obtained based on the train characteristic data, environmental data, and a preset method, wherein the preset method is used to process the train characteristic data and environmental data to generate analysis results; and control commands are sent based on the analysis results. By acquiring and analyzing train characteristic data and environmental data in real time, analysis results are obtained, and then control commands are sent based on the analysis results to control the ventilation and purification devices in the station. The above method can regulate the ventilation and purification devices in real time, purify the air and improve the air quality of the station, while achieving energy saving, extending equipment life, and facilitating equipment self-cleaning. This solves the problem in related technologies where the real-time regulation of station purification systems, especially electromagnetic devices, is not intelligent, making it difficult to meet the needs of reducing energy consumption, extending life, and cleaning equipment. Attached Figure Description

[0042] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a schematic flowchart of an optional station energy-saving control method according to an embodiment of this application;

[0045] Figure 2 This is a schematic diagram illustrating the impact of an optional train entering or leaving a station on air quality, according to an embodiment of this application.

[0046] Figure 3 This is a schematic diagram of the function and structure of an optional station energy-saving control system according to an embodiment of this application;

[0047] Figure 4 This is a schematic diagram of an optional energy-saving environmental control system structure for a rail transit station according to an embodiment of this application;

[0048] Figure 5 This is a structural block diagram of an optional station energy-saving control device according to an embodiment of this application;

[0049] Figure 6 This is a structural block diagram of an optional electronic device according to an embodiment of this application. Detailed Implementation

[0050] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0051] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0052] Nowadays, train stations are equipped with ventilation and purification systems (i.e., ventilation and purification subsystems). These systems include air filters and electromagnetic filters, which regulate the temperature and humidity of the station's air environment, purify the air, and remove pollutants, especially iron-containing particles. The movement of trains entering and leaving the station, through piston-like airflow, significantly impacts the station's air environment, including temperature, humidity, and the concentration of particulate matter. Fine iron-containing particles generated by the friction between train wheels and rails are serious pollutants and can typically be removed using electromagnetic filters. Figure 2 As shown: Figure 2 The horizontal axis represents time in minutes, and the vertical axis represents PM2.5 concentration in μg·m³. -3 The impact of trains entering and leaving the station on air quality is significant: in the 2nd to 3rd minute, as trains enter and leave, the PM2.5 concentration in the outdoor area, station hall, and platform increases before the train enters the station. As the train leaves the station, the PM2.5 concentration in the outdoor area, station hall, and platform decreases and returns to its initial level.

[0053] Electromagnetic filters, with internal or external electromagnetic devices, can adsorb and capture ferromagnetic particles carried in fluids, thus achieving efficient particulate filtration. However, filters, especially electromagnetic filters, consume a significant amount of energy, necessitating environmentally friendly and energy-saving measures to achieve low-carbon and energy-efficient operations. Utilizing train arrival and departure information and scheduling data to activate or deactivate the entire ventilation and purification system, or specific components such as electromagnetic filters and air filters, at appropriate times can significantly improve energy efficiency and extend equipment lifespan. This also facilitates the removal of filtered contaminants, enabling equipment self-cleaning.

[0054] Based on the above, according to one aspect of the embodiments of this application, a station energy-saving control method is provided, such as... Figure 1 As shown, the process of this method may include the following steps:

[0055] Step S101: Obtain train characteristic data and environmental data.

[0056] Optionally, train characteristic data may be acquired, specifically including: real-time train entry and exit data within stations (such as subway stations, train stations, high-speed rail stations, etc.), station scheduling information (annual, monthly, and daily scheduling arrangements), and real-time information. Environmental data may be acquired, specifically including: temperature and humidity, wind speed, air quality (such as particulate matter pollution, PM2.5 concentration, carbon dioxide concentration, etc.) inside and outside the station, and other environmental parameters (such as weather forecast temperature and humidity).

[0057] Step S102: Based on the train characteristic data, environmental data, and preset methods, the analysis results are obtained. The preset methods are used to process the train characteristic data and environmental data to generate the analysis results.

[0058] Optionally, the preset method is as follows: A model is constructed based on a control algorithm, using train characteristic data and environmental data (such as PM2.5 concentration, carbon dioxide concentration, temperature, and humidity) as inputs to the control algorithm, and the control parameters of the purification device as the analysis results. The control algorithm analyzes the train characteristic data and environmental data to obtain analysis results, which may include control parameters such as motor speed and the opening and closing of the electromagnetic filter. Based on the analysis results, the ventilation and purification devices are adaptively adjusted according to the pollutant concentration to make them more efficient and energy-saving.

[0059] Step S103: Based on the analysis results, send control commands.

[0060] Optionally, to achieve energy saving or remove adsorbed pollutants, the electromagnetic filter in the purification device can be turned on or off at appropriate times (e.g., when a train enters or leaves the station), thereby weakening or removing the magnetism of the magnet in the electromagnetic filter through mechanical or electrical means. Different environmental control modes are set for different situations, including one or more of the following: temperature control mode, normal air purification mode, iron-containing particulate matter purification mode, cleaning mode, and ventilation mode. The iron-containing particulate matter purification mode requires the electromagnetic filter to be turned on; other modes can turn off or weaken the magnetism of the electromagnetic filter to achieve energy saving or remove adsorbed pollutants.

[0061] Based on the control parameters, control commands are sent to switch the environmental control mode of the ventilation and purification devices.

[0062] In this embodiment, train characteristic data and environmental data are acquired; analysis results are obtained based on the train characteristic data, environmental data, and a preset method, wherein the preset method is used to process the train characteristic data and environmental data to generate analysis results; and control commands are sent based on the analysis results. By acquiring and analyzing train characteristic data and environmental data in real time, analysis results are obtained, and then control commands are sent based on the analysis results to control the ventilation and purification devices in the station. The above method can regulate the ventilation and purification devices in real time, purify the air and improve the air quality of the station, while achieving energy saving, extending equipment life, and facilitating equipment self-cleaning. This solves the problem in related technologies where the real-time regulation of station purification systems, especially electromagnetic devices, is not intelligent, making it difficult to meet the needs of reducing energy consumption, extending life, and cleaning equipment.

[0063] As an optional embodiment, acquiring train characteristic data and environmental data includes:

[0064] Acquire photoelectric signals, wind speed information, and air quality information;

[0065] Based on photoelectric signals, wind speed information, and air quality information, real-time train arrival and departure data are obtained.

[0066] Obtain train dispatch information;

[0067] Train characteristic data is obtained based on real-time station entry and exit data and scheduling information;

[0068] Obtain temperature and humidity information;

[0069] Obtain environmental forecast information;

[0070] Environmental data are obtained based on wind speed information, air quality information, temperature and humidity information, and environmental prediction information.

[0071] Optionally, the status of the train's entry and exit signals (i.e., real-time entry and exit data) can be obtained through indicators such as photoelectric signals, wind speed information, and air quality information (e.g., particulate matter pollution, PM2.5 concentration, carbon dioxide concentration).

[0072] Collect environmental data from various sensors, including temperature and humidity information, air quality information (such as PM2.5 concentration and carbon dioxide concentration), wind speed, etc., and combine them with other environmental parameters, such as weather forecast temperature and humidity (i.e., environmental prediction information).

[0073] In this embodiment of the application, by acquiring train entry and exit data and scheduling information in real time, and collecting environmental data in real time, a foundation is provided for obtaining control parameters and issuing control commands to switch the environmental control mode.

[0074] As an optional embodiment, the preset method includes a first preset method, which obtains analysis results based on train characteristic data, environmental data, and the preset method, including:

[0075] The start and stop times are determined based on real-time entry and exit data, scheduling information, and preset time intervals.

[0076] Based on the first preset method, the analysis results are obtained according to the startup time, shutdown time and environmental data.

[0077] Optionally, based on the first preset method, for simple ventilation and purification devices, energy saving can be achieved simply by setting a start-stop mechanism. For example, the train arrival time T1, departure time T2, and dwell time Ts = T2 - T1 are obtained through real-time station entry and exit data and scheduling information. Then, based on T1 and T2, for the electromagnetic filter in the ventilation and purification device, an advance start time (i.e., start time) is set to T0 = T1 - ΔT, so that the electromagnetic filter is turned on before the train arrives at the station. A delayed shutdown time (i.e., shutdown time) is set to T0' = T2 + ΔT, so that the electromagnetic filter is turned off after the train departs from the station, where ΔT is a preset time interval. The same method can be used to set similar start and shutdown times for other equipment in the ventilation and purification device.

[0078] Based on environmental data, accurate environmental data between the startup and shutdown times is obtained. The startup time, shutdown time, and the environmental data in between are then used as the analysis results.

[0079] In this embodiment of the application, by analyzing real-time entry and exit data and scheduling information, the start-up and shutdown times of the ventilation and purification devices are obtained, and environmental data between the start-up and shutdown times are acquired, providing a basis for subsequently determining the environmental control mode and issuing control commands.

[0080] As an optional embodiment, based on the analysis results, control commands are sent, including:

[0081] Based on environmental data and preset mode parameters, the target mode is obtained;

[0082] Based on the start time, shutdown time, and target mode, control commands are obtained and sent.

[0083] Optionally, the operation intensity of ventilation and purification devices needs to be activated or increased before the train enters the station. The ventilation equipment within the station can be optimized based on a comprehensive consideration of factors such as temperature, humidity, PM2.5, carbon dioxide, and volatile organic compounds (VOCs). The operation intensity of electromagnetic filters can be considered based on the concentration of iron-containing particles. Therefore, by comparing the environmental data between the activation and deactivation times with the preset parameters of each environmental control mode, a suitable environmental control mode (i.e., the target mode) can be obtained between the activation and deactivation times. For example, the temperature information in the environmental data can be compared with the preset parameters of the temperature control mode (e.g., the upper limit temperature threshold). If the temperature exceeds the upper limit temperature threshold, the environmental control mode needs to be switched to the temperature control mode, and the operation intensity of the ventilation and purification devices needs to be increased to cool the station environment.

[0084] Based on the start-up time, shutdown time, and target mode, control commands are generated and sent to the ventilation and purification subsystem to control the ventilation and purification subsystem to switch to the target mode.

[0085] In this embodiment of the application, by analyzing the station scheduling plan and real-time entry and exit information, as well as the real-time environmental data obtained by the data acquisition system, the analysis results are obtained. Based on the analysis results, control commands are issued to switch the environmental control mode, which realizes the combination of efficient operation and energy saving of ventilation and purification devices, which is conducive to reducing energy consumption.

[0086] As an optional embodiment, the preset method includes a second preset method, which obtains analysis results based on train characteristic data, environmental data, and the preset method, including:

[0087] The entry and exit cycle is obtained based on real-time entry and exit data and scheduling information;

[0088] Based on the entry / exit cycle and environmental data, the cycle environmental data within each entry / exit cycle is obtained;

[0089] Based on the second preset method, the control parameters corresponding to each entry and exit cycle are obtained according to the cycle environment data, preset mode parameters and preset cycle algorithm for each entry and exit cycle;

[0090] The analysis results are obtained based on the station entry / exit cycle, cycle environmental data, and control parameters. Optionally, when a train passes by, due to factors such as dust and track friction, the corresponding particulate matter will be carried into and out of the station's public area by the piston wind, causing rapid changes in the particulate matter concentration in the public area of ​​the rail transit station. Figure 2 It can be seen that the data begins to rise rapidly 1-2 minutes before the train enters the station, peaks when the train enters, then declines, and gradually decreases and levels off after the train leaves the station. In summary, the entry and exit cycle can be simplified into a rapid rise period, a decline period, and a stable period.

[0091] Based on the second pre-set method, which addresses the intermittent operation of ventilation and purification devices due to cyclical environmental changes, the PID control algorithm is improved to achieve tiered control of these devices. The station entry / exit cycle is divided into different phases (rapid rise, fall, and stable phase), with different algorithms or parameters used for each phase. Ultimately, this will ensure that the ventilation and purification devices achieve adaptive control of pollutant concentrations within the station, taking into account factors such as overall purification effectiveness, energy consumption, noise, and lifespan. In summary, to achieve tiered control of the ventilation and purification devices, it is necessary to obtain environmental data for different phases of the train entry / exit cycle and within each phase.

[0092] Based on real-time arrival and departure data and scheduling information, the train arrival and departure cycles are obtained, including the start time, stop time, and duration of the rapid rise, descent, and steady-state phases. Based on the arrival and departure cycles and environmental data, environmental data (i.e., cycle-based environmental data) are obtained for each of the rapid rise, descent, and steady-state phases.

[0093] Based on the PID control algorithm (i.e., preset cycle algorithm) for each entry and exit cycle, the environmental data for the rapid rise, fall, and steady periods are compared with the preset mode parameters of each environmental control mode to obtain appropriate control parameters for the rapid rise, fall, and steady periods. For example, the concentration of iron-containing particles during the rapid rise phase is compared with the preset mode parameters of the iron-containing particle purification mode (e.g., iron-containing particle concentration threshold). If it is greater than the iron-containing particle concentration threshold, the control parameters (e.g., motor speed, electromagnetic filter opening / closing) are determined based on the degree to which it exceeds the iron-containing particle concentration threshold, thereby increasing or decreasing the operating intensity of the ventilation and purification devices to purify the iron-containing particles in the station. Similarly, if the concentration of iron-containing particles during the steady period is less than the iron-containing particle concentration threshold, the control parameters are determined to close the electromagnetic filter, achieving energy saving.

[0094] The entry and exit cycles, cycle environment data, and control parameters are used as the analysis results.

[0095] In this embodiment, the train's entry and exit cycle is divided into different stages, and the ventilation and purification devices are tiered and controlled based on these different stages. Furthermore, acquiring the entry and exit cycle, cycle environmental data, and control parameters provides a foundation for subsequently determining the environmental control mode for different stages and issuing control commands.

[0096] As an optional embodiment, based on the analysis results, control commands are sent, including:

[0097] Based on the periodic environmental data and preset mode parameters, the target mode corresponding to each entry and exit cycle is obtained;

[0098] Based on the entry / exit cycle, target mode, and control parameters, control commands are obtained and sent.

[0099] Optionally, the operation intensity of ventilation and purification devices needs to be activated or increased before the train enters the station. The ventilation equipment within the station can be optimized based on a comprehensive consideration of factors such as temperature, humidity, PM2.5, carbon dioxide, and volatile organic compounds (VOCs). The operation intensity of the electromagnetic filter can be determined based on the concentration of iron-containing particles. Therefore, by comparing environmental data during the rapid rise, fall, and steady periods with the preset parameters of each environmental control mode, suitable environmental control modes (i.e., target modes) can be obtained for each of these periods. For example, the concentration of iron-containing particles during the rapid rise period can be compared with the preset parameters of the iron-containing particle purification mode (e.g., the iron-containing particle concentration threshold). If the concentration is greater than the iron-containing particle concentration threshold, the environmental control mode for the rapid rise period needs to be switched to the iron-containing particle purification mode to purify the iron-containing particles within the station. Similarly, if the concentration of iron-containing particles during the steady period is less than the iron-containing particle concentration threshold, the environmental control mode can be switched to another mode (the electromagnetic filter is turned off) to achieve energy conservation.

[0100] Based on the entry and exit cycle, target mode, and control parameters, control commands are generated and sent to the ventilation and purification subsystem to control the ventilation and purification subsystem to switch to the target mode and adjust the operating intensity of the ventilation and purification devices according to the control parameters.

[0101] In this embodiment, the train's entry and exit cycle is divided into different stages. Then, based on the environmental data of different stages, the target mode and control parameters of different stages are obtained, and control commands are generated and issued, thereby realizing the hierarchical control of ventilation and purification devices.

[0102] According to another aspect of the embodiments of this application, a station energy-saving control system is also provided, the system comprising: a data acquisition subsystem and a regulation and control subsystem;

[0103] The data acquisition subsystem is connected to the regulation and control subsystem and is used to acquire train characteristic data and environmental data, and send the train characteristic data and environmental data to the regulation and control subsystem.

[0104] The regulation and control subsystem is used to obtain analysis results based on train characteristic data, environmental data, and preset methods, and then send control commands based on the analysis results.

[0105] Optionally, such as Figure 3 As shown: The data acquisition subsystem is used to obtain the station's scheduling plan, collect real-time train arrival and departure signals at different times, and obtain real-time environmental signals through the acquisition sensors. These environmental signals include at least temperature and humidity data, PM2.5, carbon dioxide concentration, and wind data. The above data is then uploaded to the regulation and control subsystem.

[0106] The regulation and control subsystem is used to store preset scheduling plan data. It analyzes and judges the received scheduling plan, real-time entry and exit signals and environmental signals through control algorithms, obtains analysis results, and issues control commands to the ventilation and purification subsystem based on the analysis results.

[0107] In this embodiment of the application, control commands are issued to switch the environmental control mode based on the station scheduling plan, real-time entry and exit information, and real-time environmental data obtained by the data acquisition system, which helps to reduce energy consumption.

[0108] As an optional embodiment, the station energy-saving control system also includes: a ventilation and purification subsystem;

[0109] The ventilation and purification subsystem is connected to the regulation and control subsystem to receive control commands and switch the corresponding modes according to the control commands.

[0110] Optionally, such as Figure 3 The ventilation and purification subsystem receives control commands from the regulation and control subsystem and executes these commands. Specifically, it switches to the appropriate environmental control mode to regulate the environment within the station based on the control command. The environmental control modes include at least ventilation mode, normal air purification mode, iron-containing particulate matter purification mode, and cleaning mode.

[0111] Furthermore, it can be understood that the ventilation and purification subsystem activates ventilation devices (corresponding to ventilation mode), air purification devices (corresponding to air purification mode), and / or electromagnetic filters (corresponding to the mode for purifying iron-containing particles) according to the control command.

[0112] The cleaning process involves the following steps: A large amount of particulate matter accumulates at the bottom of the magnetic particulate filter. To remove this particulate matter, the electromagnet needs to be de-energized. This allows the magnetically attracted contaminants to fall off and be collected and removed collectively. Alternatively, the contaminant collection module can be detachable, facilitating cleaning after dust collection and reducing maintenance workload.

[0113] In this embodiment, automatically switching the environmental control mode according to the control command helps reduce energy loss; controlling the corresponding purification system according to the switched environmental control mode avoids unnecessary idling, improves the actual filtration effect, and extends the service life of the equipment; controlling the corresponding purification system according to the switched environmental control mode allows for cleaning of the equipment during the stop interval.

[0114] As an optional embodiment, Figure 4 This is a schematic diagram of an optional energy-saving environmental control system for a rail transit station according to an embodiment of this application. The system includes:

[0115] The station is equipped with: a large screen, a purification and filtration subsystem, a temperature control subsystem, a vehicle signaling subsystem, and sensors, all of which can be wirelessly connected to the station's server.

[0116] There are terminals and remote management modules outside the station, which can be connected to the server inside the station via wireless link.

[0117] Optionally, Figure 4 In the diagram, the house-shaped outline on the right represents the station, with the server at its core. The server within the station receives the following information: the vehicle signaling subsystem provides the server with vehicle arrival and departure time signals; simultaneously, sensors within the station transmit collected data to the server via wireless links, including but not limited to data on air temperature and humidity, PM2.5, carbon dioxide, and volatile organic compound (VOC) concentrations within the station.

[0118] After receiving the above information, the server combines it with other information obtained through the network, such as temperature and humidity outside the station, air quality data, and vehicle dispatch plans. It also displays some information, such as temperature and humidity inside and outside the station, on a large screen inside the station. At the same time, it sends instructions to subsystems such as purification and filtration and temperature control to adjust the environment inside the station.

[0119] Devices outside the station, such as mobile phones and PCs, can wirelessly connect to the station's server to obtain information and perform various control operations. Administrators can also manually control various devices and subsystems within the station through these terminals. Remote management modules can also perform various control operations based on information obtained from the server.

[0120] It should be noted that this application does not limit the specific connection method of the wireless link, which can be Wi-Fi, Bluetooth, Zigbee wireless communication, etc.

[0121] In this embodiment, control commands are issued to switch the environmental control mode based on the station scheduling plan, real-time arrival and departure information, and real-time environmental data acquired by the data acquisition system, which helps reduce energy consumption. Administrators can manually control the station's air purification system via a terminal, improving the system's flexibility and stability.

[0122] According to another aspect of the embodiments of this application, a station energy-saving control device for implementing the above-described station energy-saving control method is also provided. Figure 5 This is a structural block diagram of an optional station energy-saving control device according to an embodiment of this application, such as... Figure 5 As shown, the device may include:

[0123] The acquisition module 501 is used to acquire train characteristic data and environmental data;

[0124] The module 502 is used to obtain analysis results based on train characteristic data, environmental data, and preset methods. The preset methods are used to process the train characteristic data and environmental data to generate analysis results.

[0125] The sending module 503 is used to send control commands based on the analysis results.

[0126] Through the aforementioned modules, train characteristic data and environmental data are acquired and analyzed in real time to obtain analysis results. Based on these results, control commands are then sent to control the ventilation and purification devices within the station. This method enables real-time regulation of ventilation and purification devices, purifying the air and improving the station's air quality. Simultaneously, it achieves energy conservation, extends equipment lifespan, and facilitates equipment self-cleaning. This solves the problem in related technologies where real-time control of the station purification system, especially electromagnetic devices, is impossible, leading to the inability to meet requirements for reduced energy consumption, extended lifespan, and equipment cleaning.

[0127] As an optional embodiment, the acquisition module includes:

[0128] The first acquisition unit is used to acquire photoelectric signals, wind speed information, and air quality information;

[0129] The first obtaining unit is used to obtain real-time train arrival and departure data based on photoelectric signals, wind speed information, and air quality information.

[0130] The second acquisition unit is used to acquire train scheduling information;

[0131] The second obtaining unit is used to obtain train characteristic data based on real-time entry and exit data and scheduling information;

[0132] The third acquisition unit is used to acquire temperature and humidity information;

[0133] The fourth acquisition unit is used to acquire environmental prediction information;

[0134] The third unit is used to obtain environmental data based on wind speed information, air quality information, temperature and humidity information, and environmental prediction information.

[0135] As an optional embodiment, the preset method includes a first preset method and a second preset method, and the resulting module includes:

[0136] The fourth obtaining unit is used to obtain the start time and the stop time based on real-time entry and exit data, scheduling information and preset time intervals;

[0137] The fifth obtaining unit is used to obtain analysis results based on the first preset method, according to the start time, shutdown time, and environmental data.

[0138] The sixth unit is used to obtain the entry / exit cycle based on real-time entry / exit data and scheduling information;

[0139] The seventh unit is used to obtain the periodic environmental data within each entry / exit cycle based on the entry / exit cycle and environmental data.

[0140] The eighth obtaining unit is used to obtain the control parameters corresponding to each entry and exit cycle based on the second preset method, according to the cycle environment data, preset mode parameters and preset cycle algorithm of each entry and exit cycle;

[0141] The ninth unit is used to obtain analysis results based on the entry and exit cycle, cycle environment data, and control parameters.

[0142] Optionally, the sending module includes:

[0143] The tenth obtaining unit is used to obtain the target mode based on environmental data and preset mode parameters;

[0144] The first transmitting unit is used to obtain and transmit control commands based on the start time, stop time, and target mode.

[0145] The eleventh unit is used to obtain the target mode corresponding to each entry and exit cycle based on the cycle environment data and preset mode parameters.

[0146] The second transmitting unit is used to obtain and transmit control commands based on the entry / exit cycle, target mode, and control parameters.

[0147] It should be noted that the examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the content disclosed in the above embodiments.

[0148] According to another aspect of the embodiments of this application, an electronic device for implementing the above-described station energy-saving control method is also provided. The electronic device may be a server, a terminal, or a combination thereof.

[0149] Figure 6 This is a structural block diagram of an optional electronic device according to an embodiment of this application, such as... Figure 6 As shown, it includes a processor 601, a communication interface 602, a memory 603, and a communication bus 604. The processor 601, communication interface 602, and memory 603 communicate with each other via the communication bus 604.

[0150] Memory 603 is used to store computer programs;

[0151] When processor 601 executes a computer program stored in memory 603, it performs the following steps:

[0152] Acquire train characteristic data and environmental data;

[0153] Based on train characteristic data, environmental data, and preset methods, analysis results are obtained. The preset methods are used to process the train characteristic data and environmental data to generate analysis results.

[0154] Based on the analysis results, send control commands.

[0155] Optionally, in this embodiment, the communication bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. This communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0156] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0157] The memory may include RAM, or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0158] As an example, such as Figure 6 As shown, the memory 603 may include, but is not limited to, the acquisition module 501, the obtaining module 502, and the sending module 503 of the station energy-saving control device. Furthermore, it may include, but is not limited to, other module units of the station energy-saving control device, which will not be elaborated upon in this example.

[0159] The processors mentioned above can be general-purpose processors, including but not limited to: CPU (Central Processing Unit), NP (Network Processor), etc.; they can also be DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0160] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments, and will not be repeated here.

[0161] Those skilled in the art will understand that Figure 6 The structure shown is for illustrative purposes only. The equipment used to implement the above-mentioned station energy-saving control method can be a terminal device, such as a smartphone (e.g., Android phone, iOS phone), tablet computer, handheld computer, mobile internet device (MID), PAD, etc. Figure 6 This does not limit the structure of the aforementioned electronic devices. For example, the terminal device may also include components that are more advanced than those described above. Figure 6 The more or fewer components shown (such as network interfaces, display devices, etc.), or having the same Figure 6 The different configurations shown.

[0162] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a computer-readable storage medium, which may include: flash drive, ROM, RAM, disk or optical disk, etc.

[0163] According to another aspect of the embodiments of this application, a storage medium is also provided. Optionally, in this embodiment, the storage medium can be used to store program code for executing the station energy-saving control method.

[0164] Optionally, in this embodiment, the storage medium may be located on at least one of the network devices in the network shown in the above embodiment.

[0165] Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:

[0166] Acquire train characteristic data and environmental data;

[0167] Based on train characteristic data, environmental data, and preset methods, analysis results are obtained. The preset methods are used to process the train characteristic data and environmental data to generate analysis results.

[0168] Based on the analysis results, send control commands.

[0169] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments, and will not be repeated in this embodiment.

[0170] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, ROMs, RAMs, portable hard drives, magnetic disks, or optical disks.

[0171] In the description of this specification, the references to terms such as "this embodiment," "an embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this disclosure. 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. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples. In the description of this disclosure, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0172] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for energy-saving control of a railway station, characterized in that, The method includes: Acquire train characteristic data and environmental data; Based on the train characteristic data, the environmental data, and the preset method, an analysis result is obtained, wherein the preset method is used to process the train characteristic data and the environmental data to generate the analysis result; Based on the analysis results, control commands are sent, including motor speed and the opening and closing of the electromagnetic filter; The acquisition of train characteristic data and environmental data includes: acquiring photoelectric signals, wind speed information, and air quality information; obtaining real-time train arrival and departure data based on the photoelectric signals, wind speed information, and air quality information; acquiring train scheduling information; obtaining train characteristic data based on the real-time arrival and departure data and the scheduling information; acquiring temperature and humidity information; acquiring environmental prediction information; and obtaining environmental data based on the wind speed information, air quality information, temperature and humidity information, and environmental prediction information. The preset method includes a first preset method, wherein obtaining the analysis result based on the train characteristic data, the environmental data, and the preset method includes: obtaining the start time and the stop time based on the real-time entry and exit data, the scheduling information, and the preset time interval; and obtaining the analysis result based on the first preset method, the start time, the stop time, and the environmental data. The preset method includes a second preset method. Obtaining the analysis result based on the train characteristic data, the environmental data, and the preset method includes: obtaining the entry / exit cycle based on the real-time entry / exit data and the scheduling information, wherein the entry / exit cycle includes a rapid rise period, a fall period, and a stable period for particulate matter concentration; obtaining periodic environmental data within each entry / exit cycle based on the entry / exit cycle and the environmental data; obtaining control parameters corresponding to each entry / exit cycle based on the second preset method, the periodic environmental data, preset mode parameters, and a preset cycle algorithm for each entry / exit cycle; and obtaining the analysis result based on the entry / exit cycle, the periodic environmental data, and the control parameters.

2. The method according to claim 1, characterized in that, The step of sending control commands based on the analysis results includes: Based on the environmental data and preset mode parameters, the target mode is obtained; The control command is obtained and sent based on the start time, the shutdown time, and the target mode.

3. The method according to claim 1, characterized in that, The step of sending control commands based on the analysis results includes: Based on the periodic environmental data and preset mode parameters, the target mode corresponding to each entry / exit cycle is obtained; The control command is obtained and sent based on the entry / exit cycle, the target mode, and the analysis results.

4. A station energy-saving control system, characterized in that, The system includes: a data acquisition subsystem and a regulation and control subsystem; The data acquisition subsystem is connected to the regulation and control subsystem and is used to acquire train characteristic data and environmental data, and send the train characteristic data and environmental data to the regulation and control subsystem. Acquiring the train characteristic data and environmental data includes: acquiring photoelectric signals, wind speed information, and air quality information; obtaining real-time train arrival and departure data based on the photoelectric signals, wind speed information, and air quality information; acquiring train scheduling information; obtaining the train characteristic data based on the real-time arrival and departure data and the scheduling information; acquiring temperature and humidity information; acquiring environmental prediction information; and obtaining the environmental data based on the wind speed information, air quality information, temperature and humidity information, and environmental prediction information. The adjustment and control subsystem is used to obtain analysis results based on the train characteristic data, the environmental data, and a preset method, and to send control commands based on the analysis results. The control commands include motor speed and the opening and closing of the electromagnetic filter. The preset method is used to process the train characteristic data and the environmental data to generate the analysis results. The preset method includes a first preset method, wherein obtaining the analysis result based on the train characteristic data, the environmental data, and the preset method includes: obtaining the start time and the stop time based on the real-time entry and exit data, the scheduling information, and the preset time interval; and obtaining the analysis result based on the first preset method, the start time, the stop time, and the environmental data. The preset method includes a second preset method. Obtaining the analysis result based on the train characteristic data, the environmental data, and the preset method includes: obtaining the entry / exit cycle based on the real-time entry / exit data and the scheduling information, wherein the entry / exit cycle includes a rapid rise period, a fall period, and a stable period for particulate matter concentration; obtaining periodic environmental data within each entry / exit cycle based on the entry / exit cycle and the environmental data; obtaining control parameters corresponding to each entry / exit cycle based on the second preset method, the periodic environmental data, preset mode parameters, and a preset cycle algorithm for each entry / exit cycle; and obtaining the analysis result based on the entry / exit cycle, the periodic environmental data, and the control parameters.

5. The system according to claim 4, characterized in that, The station energy-saving control system also includes: a ventilation and purification subsystem; The ventilation and purification subsystem is connected to the regulation and control subsystem and is used to receive the control commands and switch the corresponding modes according to the control commands.

6. A station energy-saving control device, characterized in that, include: The acquisition module is used to acquire train characteristic data and environmental data; The acquisition of train characteristic data and environmental data includes: acquiring photoelectric signals, wind speed information, and air quality information; obtaining real-time train arrival and departure data based on the photoelectric signals, wind speed information, and air quality information; acquiring train scheduling information; obtaining train characteristic data based on the real-time arrival and departure data and the scheduling information; acquiring temperature and humidity information; acquiring environmental prediction information; and obtaining environmental data based on the wind speed information, air quality information, temperature and humidity information, and environmental prediction information. The module is used to obtain analysis results based on the train feature data, the environmental data, and a preset method, wherein the preset method is used to process the train feature data and the environmental data to generate the analysis results; The sending module is used to send control commands based on the analysis results, the control commands including motor speed and opening / closing of the electromagnetic filter; The preset method includes a first preset method, wherein obtaining the analysis result based on the train characteristic data, the environmental data, and the preset method includes: obtaining the start time and the stop time based on the real-time entry and exit data, the scheduling information, and the preset time interval; and obtaining the analysis result based on the first preset method, the start time, the stop time, and the environmental data. The preset method includes a second preset method. Obtaining the analysis result based on the train characteristic data, the environmental data, and the preset method includes: obtaining the entry / exit cycle based on the real-time entry / exit data and the scheduling information, wherein the entry / exit cycle includes a rapid rise period, a fall period, and a stable period for particulate matter concentration; obtaining periodic environmental data within each entry / exit cycle based on the entry / exit cycle and the environmental data; obtaining control parameters corresponding to each entry / exit cycle based on the second preset method, the periodic environmental data, preset mode parameters, and a preset cycle algorithm for each entry / exit cycle; and obtaining the analysis result based on the entry / exit cycle, the periodic environmental data, and the control parameters.

7. An electronic device comprising a processor, a communication interface, a memory, and a communication bus, wherein, The processor, the communication interface, and the memory communicate with each other via the communication bus, characterized in that... The memory is used to store computer programs; The processor is configured to perform the method of any one of claims 1 to 3 by running the computer program stored in the memory.

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