CN115860394A - Method and system for controlling energy consumption of subway station - Google Patents
Method and system for controlling energy consumption of subway station Download PDFInfo
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Abstract
The invention relates to the technical field of subway operation, and provides a method and a system for controlling energy consumption of a subway station, which comprises the steps of obtaining a two-dimensional plane diagram of the subway station, and recording passenger flow lines on the two-dimensional plane diagram; dividing the subway station into a plurality of areas according to the two-dimensional plane map; calculating the temperature comfortable value of each area and the average human body comfortable value of the subway station; obtaining passenger flow of different time periods every day, and selecting a corresponding average human body comfort value according to the passenger flow; and obtaining the energy-saving strategies of a plurality of time periods. The method and the device realize the microcosmic regulation and control of energy conservation and emission reduction of the subway station, and solve the problems of poor effect and low passenger satisfaction caused by the fact that the subway energy conservation and emission reduction measures in the prior art cannot reach the degree of microcosmic energy conservation and control.
Description
Technical Field
The invention relates to the technical field of subway operation, in particular to a method and a system for controlling energy consumption of a subway station.
Background
Due to the shortage of numerous energy sources of the world population, the earth bearing pressure is very huge, energy conservation and emission reduction increasingly become the key points of global attention, and all countries push forward energy conservation and emission reduction publicity activities so as to improve the energy conservation awareness of citizens.
In the aspect of energy conservation and emission reduction, most subway enterprises stay on a hardware level, mainly adopt more energy-saving equipment, and particularly focus on the improvement direction of LED illumination and ventilation air conditioning energy conservation. On the software level, a scheme similar to Beijing 'one station and one strategy' is adopted in part of cities, the scheme only considers the particularity of each station, but does not relate to the influence of time period, climate and passenger flow change of the same station, and an operation mode is kept from beginning to end in the operation time every day, namely a station single-day energy-saving strategy control method is a macroscopic energy-saving strategy, so that the phenomenon that a station hall and a platform are very hot is easily reflected by passengers under the condition of sudden large passenger flow, and the energy-saving disposal mode not only does not reduce the power consumption in the low-valley period of the power demand, but also cannot follow the change of the demand in the high-peak period of the power demand, so that the problem of the satisfaction degree of the passengers is caused.
Disclosure of Invention
The invention provides a method and a system for controlling energy consumption of a subway station, which solve the problems of poor effect and low passenger satisfaction caused by the fact that subway energy conservation and emission reduction measures in the prior art cannot reach the degree of energy conservation and control on a microscopic level.
The technical scheme of the invention is as follows:
in a first aspect, the invention provides a method for controlling energy consumption of a subway station, which comprises the following steps:
s10: acquiring a two-dimensional plane graph of a subway station, and recording passenger flow lines on the two-dimensional plane graph;
s20: according to the two-dimensional plane graph, dividing the subway station into a plurality of areas, marking the area where the passenger flow line passes as a first area, and marking the area where the passenger flow line does not pass as a second area;
s30: calculating a temperature comfortable value ssd of each area, and calculating an average human body comfortable value of the subway station according to the temperature comfortable value ssd;
s40: obtaining passenger flow of different time periods every day;
s50: and selecting a corresponding average human body comfort value according to the passenger flow, and obtaining energy-saving strategies of a plurality of time periods according to the average human body comfort value, wherein the energy-saving strategies comprise the working state of subway station equipment.
S60: and calculating the energy-saving strategies of all time periods of the day before the subway is started, and issuing the energy-saving strategies before each time period.
Further, the temperature comfort value ssd = (1.818t + 18.18) = (0.88 + 0.002h) + (t-32)/(45-t) -3.2 μ v +18.2 for each region, wherein t is a temperature value, h is humidity, v is wind speed, and μ is a damping coefficient of the wind speed;
the average human body comfort value
Where k1 denotes all the first regions, k2 denotes all the second regions, w m Weight, w, representing the first region n Representing the weight of the second region.
Further, the first region weight w m Is greater than the second region weight w n And the total of all the region weights divided by the total number of the regions is 1.
Further, the step S40 includes:
s401: acquiring weather conditions and date activities of the current day;
s402: and predicting the passenger flow of each time period of the day from historical data according to the weather condition and the date activity.
Further, the selecting a corresponding average human body comfort value according to the passenger flow volume includes:
when the passenger flow is in low passenger flow, the average human body comfort value is 61-70, when the passenger flow is in general high passenger flow, the average human body comfort value is 51-60, and when the passenger flow is in peak passenger flow, the average human body comfort value is 41-50.
Further, when the subway station equipment has faults, the energy-saving strategy is calculated again according to the average human body comfort value.
In a second aspect, the invention further provides a system for managing and controlling energy consumption of a subway station, which comprises an acquisition module, a processing module and a calculation module, wherein,
the acquisition module is used for acquiring a two-dimensional plane graph of the subway station and recording passenger flow lines on the two-dimensional plane graph;
the processing module is used for dividing the subway station into a plurality of areas according to the two-dimensional plane map, marking the area through which the passenger flow line passes as a first area, and marking the area through which the passenger flow line does not pass as a second area;
the calculation module is used for calculating a temperature comfort value ssd of each area and calculating an average human body comfort value of the subway station according to the temperature comfort value ssd;
the acquisition module is used for acquiring passenger flow of each day in different time periods;
the calculation module is used for selecting a corresponding average human body comfort value according to the passenger flow, and obtaining energy-saving strategies of a plurality of time periods according to the average human body comfort value, wherein the energy-saving strategies comprise the working state of subway station equipment.
In a third aspect, the present invention further provides a computer-readable storage medium, which includes a program, where the program executes the method for managing and controlling energy consumption of a subway station when running.
In a fourth aspect, the present invention further provides an electronic device, including a memory and a processor, where the memory stores a computer program, and the processor is configured to execute the method for managing and controlling energy consumption of a subway station by using the computer program.
According to the invention, the subway station is divided into a plurality of areas, the first area and the second area are marked according to the passenger flow line, and different weights are configured, so that the temperature comfortable value of each area and the average human body comfortable value of the subway station can be more accurately calculated. By dividing the switch station interval of the subway station every day into a plurality of time periods, selecting the optimal average human body comfort value according to the pedestrian flow of different time periods, executing different energy-saving strategies for each time period, controlling the working quantity and the efficiency of subway station equipment, realizing the micro regulation and control of energy conservation and emission reduction of the subway station, ensuring better emission reduction effect and higher human body comfort level.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a flow chart of a method for managing and controlling energy consumption of a subway station in the invention;
FIG. 2 is a flowchart of data configuration according to embodiment 1 of the present invention;
FIG. 3 is a flowchart of a method in example 1 of the present invention;
fig. 4 is a flowchart of a method in embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall relate to the scope of protection of the present invention.
Example 1
As shown in fig. 1, the invention provides a method for controlling energy consumption of a subway station, which comprises the following steps:
s10: and acquiring a two-dimensional plane graph of the subway station, and recording passenger flow lines on the two-dimensional plane graph.
As shown in fig. 2, in the first operation of this embodiment, basic data needs to be configured to complete data initialization.
Firstly, the whole subway station is divided into a plurality of small areas, and the w weight values of the areas in the actual range of the subway station, the mu attenuation coefficient related to the temperature comfortable value ssd formula and the average human body comfortable value f (k 1, k 2) can be defined.
Second, due to the nature of subway station operation, there are fixed lines such as passengers from the station hall to the platform or transfer, and a regular line of passenger flow can be set in advance, and the line passes through a plurality of areas.
Thirdly, fixed or default parameters are required to be configured, wherein the fixed or default parameters comprise the time points of opening and closing the subway station and the operation starting and stopping time; setting the interval duration of the energy-saving strategy time period, which is fifteen minutes in the embodiment; the starting number and the efficacy of each device are set by default, and the parameters are corrected by using an AI technology after operation.
S20: according to the two-dimensional plane graph, dividing the subway station into a plurality of areas, marking the area where the passenger flow line passes as a first area, and marking the area where the passenger flow line does not pass as a second area;
s30: and calculating the temperature comfortable value ssd of each area, and calculating the average human body comfortable value of the subway station according to the temperature comfortable value ssd.
In this embodiment, the temperature comfort value of each region
ssd = (1.818t + 18.18) (0.88 + 0.002h) + (t-32)/(45-t) -3.2 μ v +18.2, wherein t is a temperature value, h is humidity, v is wind speed, and μ is a damping coefficient of the wind speed;
the average human body comfort value
Where k1 denotes all the first regions, k2 denotes all the second regions, w m Weight, w, representing the first region n Representing the weight of the second region.
Wherein the first region weight w m Is greater than the second region weight w n And the total of all the region weights divided by the total number of the regions is 1.
S40: and acquiring the passenger flow of different time periods every day.
In this embodiment, the energy saving policy and the passenger satisfaction survey data on the same day are acquired, the situation of each time period of passenger flow on the same day is predicted by using the AI technology, and the arrangement combination of the device startup number or the size control of the effective value is performed by adding the weather situation, the major activities, and the available device list (excluding certain devices that fail to be repaired).
For example, station floor temperature control: the main refrigeration water chilling unit in the subway station and equipment such as air conditioner new trend adjust the station temperature through cold water flow and fan switching etc. dynamically. The basic data can be configured in the first step, and the basic data can be obtained from fixed or default parameter settings, for example, the temperature of 10 sets of refrigeration equipment can guarantee 26 degrees, the temperature of 8 sets of refrigeration equipment can guarantee 27 degrees, and the temperature of 6 sets of refrigeration equipment can guarantee 28 degrees.
S50: and selecting a corresponding average human body comfort value according to the passenger flow, and obtaining energy-saving strategies of a plurality of time periods according to the average human body comfort value, wherein the energy-saving strategies comprise the working state of subway station equipment.
According to the equipment arrangement and combination in the last step, the temperature comfortable value ssd of each area is sequentially calculated, wherein t is a temperature value (unit centigrade, summer is generally set to be 26-30 ℃, winter is generally controlled to be 12 ℃ and above), h is humidity (unit percentage, generally between 40 and 60, humidity between 40 and 50 is the most comfortable humidity for the old and children), mu attenuation coefficient (wind speed and wind volume sensor is generally arranged at the wind inlet and has attenuation on the ground), and v is wind speed (unit m/s).
And selecting the optimal human body comfort value, and finally generating an energy-saving strategy through equipment permutation and combination. For example: when the passenger flow is in low passenger flow, the average human body comfort value is 61-70, when the passenger flow is in general high passenger flow, the average human body comfort value is 51-60, and when the passenger flow is in peak passenger flow, the average human body comfort value is 41-50.
S60: calculating energy-saving strategies of all time periods of the day before the subway is started, issuing the energy-saving strategies before each time period,
in this embodiment, according to information such as weather conditions, major activities, passenger flows (historical data and AI prediction data), historical environmental data, equipment failure conditions, and passenger comfort survey data, an energy saving policy at each time period within the total station operation time of the day is calculated and issued to the equipment at regular time.
As shown in fig. 3, in a specific application, the present embodiment is executed according to the following steps:
step 1: waiting for one hour before the station is opened;
step 2: judging whether the time reaches one hour before the station is opened, if so, executing a step 3, and if not, executing a step 1;
and step 3: starting to calculate an energy-saving strategy;
and 4, step 4: acquiring collected basic data;
and 5: calculating an energy-saving strategy in each time period;
step 6: and issuing an energy-saving strategy at fixed time.
Wherein, step 5 includes again:
step 501: judging equipment needing to be started;
step 502: dividing the time period according to fifteen minutes according to the switching station time;
step 503: judging whether a time period waits for calculating the energy-saving strategy, if so, executing a step 504, otherwise, storing the energy-saving strategy of all the time periods to wait for issuing;
step 504: acquiring a first/next time period;
step 505: the starting number and the efficacy of available equipment are adjusted and arranged to obtain a plurality of energy-saving modes;
step 506: judging whether equipment arrangement combination data are to be calculated, if so, executing the steps 507-508, otherwise, selecting an energy-saving strategy with the optimal human body comfort value, and returning to the step 503;
step 507: calculating the temperature comfortable value of each area;
step 508: and calculating the average human body comfort value of the whole device permutation and combination, and returning to the step 506.
Further, when the subway station equipment has faults, the energy-saving strategy is calculated again according to the average human body comfort value.
When the equipment suddenly fails without early warning, the system automatically judges whether the energy-saving strategy needs to be adjusted according to the influence of the failed equipment on the comfort level of passengers. If the adjustment is needed, the adjustment is carried out from the closed state to the open state according to the adjacent equipment or the whole equipment in the same subarea is adjusted to the direction with higher comfort level.
Further, the embodiment also includes a task of periodically and circularly executing and collecting basic data, which can be used as important raw data for the AI to calculate the energy-saving strategy.
(1) The comprehensive monitoring system through the subway station collects the running values of all devices in time, for example: and all the data such as temperature, humidity, wind speed (wind volume), fault state change and the like are stored in a historical equipment operation database.
(2) And acquiring a maintenance plan of the fault equipment in the subway station through an EAM (asset management system).
(3) The passenger flow organization system of the subway station acquires the number original data of people in each area from data sources such as camera counting, WIFI sniffing and Bluetooth connection, and obtains the number of the people in each area through AI technical analysis.
(4) Passenger satisfaction survey data are captured from a plurality of systems related to passenger service at regular time every day, the data comprise overall evaluation and evaluation of environment sub-items such as temperature, humidity, illumination brightness and riding environment, and the optimal environment control data of the subway station are analyzed by using AI technology.
(5) And capturing local weather bureau or RSS weather source data at regular time every day, and storing the data in a historical weather information base. And if the OCC/NOCC private cloud is physically isolated from the external network, the data can be manually input.
(6) And (4) capturing important activity data of related local government departments at regular time every day, and storing the important activity data into a historical weather information base. The OCC/NOCC private cloud can be manually entered if it is physically isolated from the external network or if there is no associated interface.
Example 2
On the basis of embodiment 1, the present embodiment further uses manual adjustment as an auxiliary means, and mainly uses a station staff to view actual situations on site through an AX dedicated device in a three-dimensional visualization manner based on an AR technology, and obtains calculation results such as passenger comfort level, and finally allows manual adjustment of the existing energy saving strategy.
The AX special equipment is a combination of an AR technology and an AI technology, and mainly has the following three functions:
in the display screen, basic information and an instant operation value of current key energy consumption equipment are displayed in a three-dimensional model mode, and knowledge base information and an adjustable energy-saving strategy scheme of each equipment in the aspect of energy-saving control can be displayed.
When the energy-saving strategy is adjusted manually, the effect condition after the energy-saving strategy is adjusted can be displayed in a three-dimensional visualization mode.
Through the voice technology of the AI technical branch, the voice broadcasting function is realized, and the voice can be automatically transferred into the executable command of the equipment, so that the voice interactive operation is realized, other input equipment does not need to be configured, and the operation of station staff is greatly facilitated.
As shown in fig. 4, in this embodiment, a first energy saving policy is issued after the station is started, all devices of the subway station are controlled, and if a certain time period is within the effective time of manually adjusting the energy saving policy, no energy saving policy is automatically sent any more; and if the next time period does not relate to the condition of manual adjustment, automatically issuing an energy-saving strategy.
In daily patrol or emergency events (such as sudden failure of energy saving policy equipment or unexpected occurrence of large passenger flow in fifteen minutes), the station staff can arrive at the site for the first time, and use the AX special equipment to check the three-dimensional visual interface based on the AR technology and allow the operation of manually adjusting the energy saving policy, and within the duration of the adjustment policy, the system will not automatically send other energy saving policies.
When the embodiment is applied specifically, the first energy-saving strategy is issued after the power supply is started, and all relevant devices are started and controlled, wherein the strategy comprises an automatic adjustment branch and a manual adjustment branch.
Wherein, the automatic adjustment branch comprises the following steps:
step a: waiting for closing the station;
step b: judging whether the station closing time is not reached, if so, executing the step c, and if not, ending the operation;
step c: acquiring a current time point:
step d: judging whether the next time period is reached, if so, executing the step e, otherwise, returning to the step a;
step e: waiting for issuing the energy-saving strategy of the next time period:
step f: judging whether the manual adjustment strategy is not finished, if so, executing the step g, otherwise, returning to the step a;
step g: acquiring current fault equipment information and a next time period energy-saving strategy;
step h: judging whether equipment required by the energy-saving strategy in the next time period has a fault problem, if so, executing the step i, and if not, executing the step j;
step i: recalculating the energy-saving strategy of the next time period;
step j: and d, issuing an energy-saving strategy of the next time period, and returning to the step a.
The manual adjustment branch comprises the following steps:
step A: waiting for closing the station;
and B: c, judging whether the station closing time is not reached, if so, executing the step C, and if not, ending the operation;
step C: waiting for manually adjusting the energy-saving strategy;
step D: judging whether manual adjustment is needed, if so, executing the step E, and if not, returning to the step A;
step E: station staff use AX special equipment to look up information;
step F: judging whether a command needs to be issued, if so, executing the step G, and if not, returning to the step A;
step G: and E, issuing an energy-saving strategy command and returning to the step E.
Example 3
On the basis of embodiment 1, the invention further provides a system for controlling energy consumption of a subway station, which comprises an acquisition module, a processing module and a calculation module, wherein,
the acquisition module is used for acquiring a two-dimensional plane graph of the subway station and recording passenger flow lines on the two-dimensional plane graph;
the processing module is used for dividing the subway station into a plurality of areas according to the two-dimensional plane map, marking the area where the passenger flow line passes as a first area, and marking the area where the passenger flow line does not pass as a second area;
the calculation module is used for calculating a temperature comfortable value ssd of each area and calculating an average human body comfortable value of the subway station according to the temperature comfortable value ssd;
the acquisition module is used for acquiring passenger flow of each day in different time periods;
the calculation module is used for selecting a corresponding average human body comfort value according to the passenger flow, and obtaining energy-saving strategies of a plurality of time periods according to the average human body comfort value, wherein the energy-saving strategies comprise the working state of subway station equipment.
For convenience and conciseness of description, the specific working process and related description of the apparatus may refer to the content described in the embodiment of the method for controlling energy consumption of a subway station, and will not be described herein again.
Example 4
On the basis of embodiment 1, the invention further provides a computer-readable storage medium, which includes a program, where the program executes the method for managing and controlling the energy consumption of the subway station when running.
It can be understood by those skilled in the art that all or part of the flow in the method of the above embodiment 1 can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can implement the steps of the above method embodiments when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying said computer program code, media, usb disk, removable hard disk, magnetic diskette, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunication signals, software distribution media, etc. It should be noted that the computer readable storage medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable storage media that does not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
To this end, the invention also provides a computer-readable storage medium. In one computer-readable storage medium embodiment according to the present invention, the computer-readable storage medium may be configured to store a program for executing the method for controlling energy consumption of a subway station according to the above method embodiment, and the program may be loaded and executed by a processor to implement the above method. For convenience of explanation, only the parts related to the embodiments of the present invention are shown, and details of the specific techniques are not disclosed. The computer readable storage medium may be a storage device formed by including various electronic devices, and optionally, the computer readable storage medium is a non-transitory computer readable storage medium in the embodiment of the present invention.
Example 5
The invention also provides an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the method for managing and controlling the energy consumption of the subway station through the computer program.
For convenience of explanation, only the parts related to the embodiments of the present invention are shown, and details of the specific techniques are not disclosed. The electronic device may be a control apparatus formed including various electronic devices.
Further, it should be understood that, since the configuration of each module is only for explaining the functional units of the apparatus of the present invention, the corresponding physical devices of the modules may be the processor itself, or a part of software, a part of hardware, or a part of a combination of software and hardware in the processor. Thus, the number of individual modules in the figures is merely illustrative.
Those skilled in the art will appreciate that the various modules in the apparatus may be adaptively split or combined. Such splitting or combining of specific modules does not cause the technical solutions to deviate from the principle of the present invention, and therefore, the technical solutions after splitting or combining will fall within the protection scope of the present invention.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for managing and controlling energy consumption of a subway station is characterized by comprising the following steps:
s10: acquiring a two-dimensional plane graph of a subway station, and recording passenger flow lines on the two-dimensional plane graph;
s20: according to the two-dimensional plane graph, dividing the subway station into a plurality of areas, marking the area through which the passenger flow line passes as a first area, and marking the area through which the passenger flow line does not pass as a second area;
s30: calculating a temperature comfortable value ssd of each area, and calculating an average human body comfortable value of the subway station according to the temperature comfortable value ssd;
s40: acquiring passenger flow of different time periods every day;
s50: and selecting a corresponding average human body comfort value according to the passenger flow, and obtaining energy-saving strategies of a plurality of time periods according to the average human body comfort value, wherein the energy-saving strategies comprise the working states of subway station equipment.
2. The method for managing and controlling energy consumption of subway stations according to claim 1, further comprising:
s60: and calculating the energy-saving strategies of all time periods of the day before the subway is started, and issuing the energy-saving strategies before each time period.
3. The method for managing and controlling energy consumption of subway stations as claimed in claim 2, wherein said comfortable temperature value ssd = (1.818t + 18.18) { 0.88+ 0.002h) + (t-32)/(45-t) -3.2 } μ v +18.2 for each area, where t is a temperature value, h is humidity, v is wind speed, and μ is attenuation coefficient of wind speed;
the average human body comfort value
Where k1 denotes all the first regions, k2 denotes all the second regions, w m Weight, w, representing the first region n Representing the weight of the second region.
4. The method for managing and controlling energy consumption of subway stations as claimed in claim 3, wherein said first area weight w m Is greater than the second region weight w n And the total of all the region weights divided by the total number of the regions is 1.
5. The method for managing and controlling energy consumption of subway stations as claimed in claim 2, wherein said step S40 includes:
s401: acquiring weather conditions and date activities of the current day;
s402: and predicting the passenger flow of each time period of the day from historical data according to the weather condition and the date activity.
6. The method for managing and controlling energy consumption of subway stations according to claim 3, wherein said selecting a corresponding average human body comfort value according to said passenger flow volume comprises:
when the passenger flow is in low passenger flow, the average human body comfort value is 61-70, when the passenger flow is in general high passenger flow, the average human body comfort value is 51-60, and when the passenger flow is in peak passenger flow, the average human body comfort value is 41-50.
7. The method for managing and controlling energy consumption of the subway station as claimed in claim 1, wherein when there is a fault in the subway station equipment, the energy saving strategy is calculated again according to the average human comfort value.
8. A system for controlling energy consumption of a subway station is characterized by comprising an acquisition module, a processing module and a calculation module, wherein,
the acquisition module is used for acquiring a two-dimensional plane graph of the subway station and recording passenger flow lines on the two-dimensional plane graph;
the processing module is used for dividing the subway station into a plurality of areas according to the two-dimensional plane map, marking the area where the passenger flow line passes as a first area, and marking the area where the passenger flow line does not pass as a second area;
the calculation module is used for calculating a temperature comfortable value ssd of each area and calculating an average human body comfortable value of the subway station according to the temperature comfortable value ssd;
the acquisition module is used for acquiring passenger flow of each day in different time periods;
the calculation module is used for selecting a corresponding average human body comfort value according to the passenger flow, and obtaining energy-saving strategies of a plurality of time periods according to the average human body comfort value, wherein the energy-saving strategies comprise the working state of subway station equipment.
9. A computer-readable storage medium containing a program, wherein the program is executed to perform the method for managing energy consumption of a subway station according to any one of claims 1 to 7.
10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the method for managing energy consumption of a subway station according to any one of claims 1 to 7.
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| CN118295513A (en) * | 2024-06-05 | 2024-07-05 | 山东淼汇智能科技有限公司 | Energy-saving management method, device and system for rail transit AFC equipment |
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| CN118295513A (en) * | 2024-06-05 | 2024-07-05 | 山东淼汇智能科技有限公司 | Energy-saving management method, device and system for rail transit AFC equipment |
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