CN116823223A - Rail transit electromechanical equipment operation and maintenance management method and system - Google Patents
Rail transit electromechanical equipment operation and maintenance management method and system Download PDFInfo
- Publication number
- CN116823223A CN116823223A CN202310789974.1A CN202310789974A CN116823223A CN 116823223 A CN116823223 A CN 116823223A CN 202310789974 A CN202310789974 A CN 202310789974A CN 116823223 A CN116823223 A CN 116823223A
- Authority
- CN
- China
- Prior art keywords
- energy consumption
- power consumption
- maintenance
- electromechanical
- electromechanical device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 113
- 238000007726 management method Methods 0.000 title claims abstract description 27
- 238000005265 energy consumption Methods 0.000 claims abstract description 132
- 238000000034 method Methods 0.000 claims description 22
- 238000004590 computer program Methods 0.000 claims description 16
- 238000004378 air conditioning Methods 0.000 claims description 13
- 238000001816 cooling Methods 0.000 claims description 6
- XOFYZVNMUHMLCC-ZPOLXVRWSA-N prednisone Chemical compound O=C1C=C[C@]2(C)[C@H]3C(=O)C[C@](C)([C@@](CC4)(O)C(=O)CO)[C@@H]4[C@@H]3CCC2=C1 XOFYZVNMUHMLCC-ZPOLXVRWSA-N 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000010687 lubricating oil Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The application relates to an operation and maintenance management method and system for electromechanical equipment of rail transit, which are characterized in that energy consumption data of a plurality of historical operation periods of a plurality of electromechanical equipment are obtained; determining a target mechatronic device based on energy consumption data for a plurality of historical operating cycles of the plurality of mechatronic devices; establishing an energy consumption curve of the target electromechanical device based on the energy consumption data of the target electromechanical device in a plurality of historical operation periods; the maintenance time point is adjusted based on the energy consumption profile such that the sum of the maintenance cost and the power consumption cost is minimized. According to the application, the target electromechanical equipment with larger influence on power consumption by continuous operation time is screened, then an energy consumption curve which can reflect the relation between the continuous operation time and the power consumption of the target electromechanical equipment is established by means of historical data, and finally a maintenance time point is regulated in the energy consumption curve, so that the operation cost and the maintenance cost of the electromechanical equipment are reduced.
Description
Technical Field
The application relates to the technical field of operation and maintenance, in particular to an operation and maintenance management method and system for electromechanical equipment of rail transit.
Background
Electromechanical devices on urban rail transit sites include power systems, signal systems, communication systems, air conditioning systems, exhaust systems, dual-network power supply systems, security systems, and the like. The operation of these devices is directly related to the safety, comfort and maintenance costs of the subway. This is the most important ring in subway systems. If the electromechanical device is not operating properly, the entire subway system is not operating.
The energy consumption of the electromechanical device increases gradually with the operation time, resulting in an increase in the use cost. The existing electromechanical equipment is usually maintained regularly, but the existing maintenance time is not set according to the actual operation state of the electromechanical equipment, which easily results in that the electromechanical equipment maintains long-time high-energy operation before maintenance, and the use cost is increased.
Disclosure of Invention
In view of the above, the present application is to provide a method and a system for managing operation and maintenance of an electromechanical device of a rail transit, so as to solve the technical problem that the maintenance method in the prior art does not consider the actual operation state of the electromechanical device, thereby causing the increase of the use cost.
In order to achieve the above purpose, the present application adopts the following technical scheme:
the application relates to an operation and maintenance management method for electromechanical equipment of rail transit, which comprises the following steps:
acquiring energy consumption data of a plurality of historical operation periods of various electromechanical devices, wherein a starting time point and an ending time point of each historical operation period are maintenance time points, and the energy consumption data comprise power consumption of a plurality of time periods in the historical operation period;
determining a target electromechanical device based on energy consumption data of a plurality of historical operating periods of the plurality of electromechanical devices, wherein the target electromechanical device has reduced power consumption per unit time after maintenance;
establishing an energy consumption curve of the target electromechanical device based on energy consumption data of a plurality of historical operation periods of the target electromechanical device, wherein the energy consumption curve represents a corresponding relation between the power consumption of the target electromechanical device and continuous working time;
and adjusting the maintenance time point based on the energy consumption curve so as to minimize the sum of the maintenance cost and the power consumption cost.
In one embodiment of the application, determining a target mechatronic device based on energy consumption data for a plurality of historical operating cycles of the plurality of mechatronic devices includes:
screening the power consumption of a first time period which is before the maintenance time point and is nearest to the maintenance time point from the energy consumption data of each historical operation period of each electromechanical device; and screening the power consumption of a second time period which is after the maintenance time point and is nearest to the maintenance time point from the energy consumption data of each historical operation period of each electromechanical device;
for each electromechanical device, calculating the power consumption difference delta E of the corresponding arbitrary two adjacent first time periods and second time periods i ；
Based on a plurality of differences delta E corresponding to each electromechanical device i The average difference E and the difference variance sigma are calculated, and the mathematical expression of the difference variance sigma is:
wherein n is a natural number;
and when the average difference E is larger than a preset first threshold and the difference variance sigma is smaller than a preset second threshold, judging that the corresponding electromechanical device is the target electromechanical device.
In one embodiment of the present application, establishing an energy consumption model of the target electromechanical device based on energy consumption data of a plurality of historical operating cycles of the target electromechanical device includes:
establishing a coordinate system, wherein an X axis of the coordinate system is a time axis, and a Y axis is an energy consumption data axis;
aligning a starting time point of each historical operating period with a zero point of the coordinate system, and mapping energy consumption data of each historical operating period into the coordinate system;
averaging the power consumption corresponding to the same time of the coordinate system to obtain a plurality of average power consumption data points;
and fitting the plurality of average power consumption data points to obtain an energy consumption curve of the target electromechanical device.
In an embodiment of the application, adjusting the maintenance time point based on the energy consumption curve includes:
acquiring maintenance cost C;
determining a maintenance time point T based on the energy consumption curve and the maintenance cost w Wherein the maintenance time point T w The method meets the following conditions:
wherein E is w For the maintenance time point T w Corresponding power consumption, E 0 For the start time point T 0 Corresponding power consumption, t 0 For the time period t z Is a custom time period.
In one embodiment of the present application, obtaining energy consumption data for a plurality of historical operating cycles of a plurality of electromechanical devices includes:
acquiring the people flow of a rail transit station in a plurality of running time periods, wherein the running time periods belong to the same day;
calculating an average value of the people flow in the plurality of running time periods;
determining a running time period closest to the average value as the time period, and collecting energy consumption data of various electromechanical devices in the time period.
In an embodiment of the present application, the power consumption includes power consumption of the electromechanical device itself and power consumption of an air conditioning system for cooling the electromechanical device.
In one embodiment of the present application, the method further comprises determining the converted power consumption of the electromechanical device by:
acquiring the working temperature and the environment temperature of the electromechanical equipment;
calculating a temperature difference between the working temperature and the ambient temperature;
and converting the temperature difference into the converted power consumption of the air conditioning system for cooling the electromechanical equipment by inquiring a pre-established data table.
The application also provides an operation and maintenance management system of the electromechanical equipment of the rail transit, which comprises the following steps:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring energy consumption data of a plurality of historical operation periods of a plurality of electromechanical devices, wherein a starting time point and an ending time point of each historical operation period are maintenance time points, and the energy consumption data comprise power consumption of a plurality of time periods in the historical operation period;
the determining module is used for determining target electromechanical equipment based on the energy consumption data of a plurality of historical operation periods of the electromechanical equipment, wherein the power consumption of the electromechanical equipment is reduced in unit time after the target electromechanical equipment is maintained;
the model building module is used for building an energy consumption curve of the target electromechanical device based on the energy consumption data of a plurality of historical operation periods of the target electromechanical device, wherein the energy consumption curve represents the corresponding relation between the power consumption of the target electromechanical device and the continuous working time;
and the management module is used for adjusting the maintenance time point based on the energy consumption curve.
The application also provides a storage medium in which a computer program is stored, which when loaded and executed by a processor, implements a rail transit electromechanical device operation and maintenance management method as described above.
The present application also provides an electronic device including: a processor and a memory; wherein the memory is used for storing a computer program; the processor is used for loading and executing the computer program to enable the electronic equipment to execute the rail transit electromechanical equipment operation and maintenance management method.
The beneficial effects of the application are as follows: according to the rail transit electromechanical equipment operation and maintenance management method and system, energy consumption data of a plurality of historical operation periods of a plurality of electromechanical equipment are obtained; determining a target mechatronic device based on energy consumption data for a plurality of historical operating cycles of the plurality of mechatronic devices; establishing an energy consumption curve of the target electromechanical device based on the energy consumption data of the target electromechanical device in a plurality of historical operation periods; the maintenance time point is adjusted based on the energy consumption profile such that the sum of the maintenance cost and the power consumption cost is minimized. According to the application, the target electromechanical equipment with larger influence on power consumption by continuous operation time is screened, then an energy consumption curve which can reflect the relation between the continuous operation time and the power consumption of the target electromechanical equipment is established by means of historical data, and finally a maintenance time point is regulated in the energy consumption curve, so that the operation cost and the maintenance cost of the electromechanical equipment are reduced.
Drawings
The application is further described below with reference to the accompanying drawings and examples:
FIG. 1 is a flow chart of a method of operation and maintenance management of an electromechanical device of a rail transit system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an energy consumption curve according to an embodiment of the present application;
FIG. 3 is a block diagram of an operation and maintenance management system for an electromechanical device of a rail transit in accordance with an embodiment of the present application;
fig. 4 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application.
Detailed Description
Other advantages and effects of the present application will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present application with reference to specific examples. The application may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present application. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present application by way of illustration, and only the layers related to the present application are shown in the drawings and are not drawn according to the number, shape and size of the layers in actual implementation, and the form, number and proportion of the layers in actual implementation may be arbitrarily changed, and the layer layout may be more complex.
In the following description, numerous details are discussed to provide a more thorough explanation of embodiments of the present application, however, it will be apparent to one skilled in the art that embodiments of the present application may be practiced without these specific details.
Fig. 1 is a flowchart of an operation and maintenance management method of an electromechanical device of a rail transit in an embodiment of the present application, as shown in fig. 1: the method for managing operation and maintenance of the electromechanical device of the rail transit in this embodiment may include steps S110 to S140:
s110, acquiring energy consumption data of a plurality of historical operation periods of various electromechanical devices, wherein a starting time point and an ending time point of each historical operation period are maintenance time points, and the energy consumption data comprise power consumption of a plurality of time periods in the historical operation period;
wherein the historical operation period is divided according to the maintenance time point, and the length of each historical operation period is generally the same as the maintenance of the electromechanical device is generally timed.
The energy consumption data is mainly the power consumption of the electromechanical device, but because the electromechanical device generates heat during operation, the energy consumption of the air conditioning system is indirectly increased, so in this embodiment, the power consumption includes the power consumption of the electromechanical device itself and the converted power consumption of the air conditioning system for cooling the electromechanical device.
In one embodiment of the present application, the method further comprises determining the converted power consumption of the electromechanical device by:
acquiring the working temperature and the environment temperature of the electromechanical equipment;
calculating a temperature difference between the working temperature and the ambient temperature;
and converting the temperature difference into the converted power consumption of the air conditioning system for cooling the electromechanical equipment by inquiring a pre-established data table.
In the present application, the power consumption of the increased portion of the air conditioning system is related to the temperature difference between the electromechanical device and the operating temperature and the ambient temperature. Thus, the data table is built in advance in the present application. When the electromechanical equipment is tested to work under various conditions, the power consumption of the air conditioning system in unit time can be used for establishing a data table, and the specific establishment process is as follows:
(1) When the outdoor temperature is 25 ℃, the electromechanical equipment is in a working state, and the working temperature and the current environmental temperature of the electromechanical equipment are recorded;
(2) The air conditioning system is regulated to gradually reduce the current environmental temperature, and the temperature differences between various working temperatures and the current environmental temperature and the first unit time power consumption of the air conditioning system corresponding to the various temperature differences are recorded;
(3) The electromechanical equipment is in a non-working state, the air conditioner is regulated, the current ambient temperature is gradually reduced, and the second unit time power consumption of the air conditioning system under various ambient temperatures is recorded;
(4) And calculating the difference between the power consumption of the first unit time and the power consumption of the corresponding second unit time to obtain the converted power consumption, and constructing a data table based on the temperature difference and the converted power consumption.
In addition, the traffic flow of people at the rail transit stations is different at different times of the day, and the power consumption of the corresponding electromechanical devices is also different. For example, when many people are present, the energy consumption of the elevator increases significantly and the energy consumption of the air conditioner increases. In order to control variables, the application selects a representative time period to collect when collecting the energy consumption data of the historical operation period.
In one embodiment of the present application, obtaining energy consumption data for a plurality of historical operating cycles of a plurality of electromechanical devices includes:
acquiring the people flow of a rail transit station in a plurality of running time periods, wherein the running time periods belong to the same day;
calculating an average value of the people flow in the plurality of running time periods;
determining a running time period closest to the average value as the time period, and collecting energy consumption data of various electromechanical devices in the time period.
In the application, energy consumption tests are carried out on various electromechanical devices in a rail transit station by calculating the average flow of people in one day and then taking a time period closest to the average flow of people as a test time period. And power consumption errors caused by different time periods are avoided.
Specifically, the application adopts the existing power consumption testing device to carry out power consumption testing on various electromechanical devices, for example, a voltage transformer and a current transformer collect working current and working voltage of the electromechanical devices, and then the power consumption calculation is carried out through an electric energy metering chip, so that independent power consumption data of each electromechanical device can be obtained.
S120, determining a target electromechanical device based on the energy consumption data of a plurality of historical operation periods of the electromechanical devices, wherein the power consumption of the electromechanical device in unit time is reduced after the maintenance of the target electromechanical device;
the continuous working time length has different influences on different electromechanical devices, for example, after the elevator continuously works for a long time, mechanical parts in the elevator are aged, lubricating oil is lost, dust enters, and the like, so that the energy consumption of the elevator is obviously increased. However, for some communication devices, there is no moving mechanical structure, so that the power consumption does not increase significantly after a long period of operation (the power consumption increases significantly after the parts age, but the speed is extremely slow).
Therefore, the application needs to screen out the electromechanical equipment with larger influence of the working time on the power consumption, and the maintenance time of the electromechanical equipment is used as the target electromechanical equipment, thereby having larger influence on economic benefit and higher management value.
In one embodiment of the application, determining a target mechatronic device based on energy consumption data for a plurality of historical operating cycles of the plurality of mechatronic devices includes:
screening the power consumption of a first time period which is before the maintenance time point and is nearest to the maintenance time point from the energy consumption data of each historical operation period of each electromechanical device; and screening the power consumption of a second time period which is after the maintenance time point and is nearest to the maintenance time point from the energy consumption data of each historical operation period of each electromechanical device;
the power consumption of the first time period is the power consumption of the electromechanical device last time before maintenance, and the power consumption of the second time period is the power consumption of the electromechanical device last time after maintenance. Through the two, whether the power consumption of the electromechanical equipment in unit time before and after maintenance is greatly different or not can be seen.
For each electromechanical device, a meterCalculating the power consumption difference delta E of any two adjacent first time periods and second time periods i ；
Based on a plurality of differences delta E corresponding to each electromechanical device i The average difference E and the difference variance sigma are calculated, and the mathematical expression of the difference variance sigma is:
wherein n is a natural number;
and when the average difference E is larger than a preset first threshold and the difference variance sigma is smaller than a preset second threshold, judging that the corresponding electromechanical device is the target electromechanical device.
The average difference E is greater than a preset first threshold, which indicates that the corresponding electromechanical device has a larger energy consumption data difference before and after each maintenance. And if the difference variance sigma is smaller than a preset second threshold value, the difference of the energy consumption data of the corresponding electromechanical equipment before and after maintenance is relatively stable, and the energy consumption of the electromechanical equipment is relatively stably associated with maintenance. Such an electromechanical device may improve power consumption by adjusting the maintenance time point.
S130, establishing an energy consumption curve of the target electromechanical device based on energy consumption data of a plurality of historical operation periods of the target electromechanical device, wherein the energy consumption curve represents a corresponding relation between the power consumption of the target electromechanical device and continuous working time;
after the target electromechanical device is obtained, the relation between the power consumption of the target electromechanical device and the continuous operation time is needed to be known, namely, the energy consumption curve of the target electromechanical device is known, so that quantitative analysis can be further performed, and an optimal maintenance time point is obtained.
In one embodiment of the present application, establishing an energy consumption model of the target electromechanical device based on energy consumption data of a plurality of historical operating cycles of the target electromechanical device includes:
establishing a coordinate system, wherein an X axis of the coordinate system is a time axis, and a Y axis is an energy consumption data axis;
aligning a starting time point of each historical operating period with a zero point of the coordinate system, and mapping energy consumption data of each historical operating period into the coordinate system;
averaging the power consumption corresponding to the same time of the coordinate system to obtain a plurality of average power consumption data points;
and fitting the plurality of average power consumption data points to obtain an energy consumption curve of the target electromechanical device.
In the present application, since the length of each of the historic operation periods is substantially uniform, the present application superimposes the energy consumption data of a plurality of historic operation periods in the coordinate system for analysis.
Since the period is a fixed period of time in a day, for example: 10:00-11:00 am; therefore, when the energy consumption data of a plurality of historical operation periods are overlapped in the coordinate system, the abscissa of the power consumption of the same time period in the coordinate system is the same, and the average power consumption of the same coordinate is averaged, so that average power consumption data points of a plurality of time periods (corresponding to a plurality of days) can be obtained; and then obtaining the energy consumption curve of the target electromechanical device in a fitting mode. The energy consumption of the target electromechanical device after continuous operation for a period of time can be intuitively obtained through the energy consumption curve.
Fig. 2 is a schematic diagram of an energy consumption curve according to an embodiment of the present application, as shown in fig. 2, and for convenience of illustration, a plurality of time periods are omitted between the time periods in fig. 2. Taking an elevator system as an example, the elevator system is maintained on a lower energy consumption level after cleaning and maintenance. Then gradually rising to a higher energy consumption level and keeping stable. If the elevator system is operated on a higher energy consumption level for a long period of time, the energy consumption cost is increased, and the elevator system is not environment-friendly.
And S140, adjusting the maintenance time point based on the energy consumption curve so as to enable the sum of the maintenance cost and the power consumption cost to be minimum.
In order to prevent the target electromechanical device from working on a high-energy-consumption horizontal line for a long time, the maintenance time point is adjusted based on the energy consumption curve, so that the energy consumption of the target electromechanical device is reduced.
In an embodiment of the application, adjusting the maintenance time point based on the energy consumption curve includes:
acquiring maintenance cost C;
determining a maintenance time point T based on the energy consumption curve and the maintenance cost w Wherein the maintenance time point T w The method meets the following conditions:
wherein E is w For the maintenance time point T w Corresponding power consumption, E 0 For the start time point T 0 Corresponding power consumption, t 0 For the time period t z Is a custom time period.
The application sets a self-defined time period, and the power consumption of the target electromechanical equipment in unit time after continuous operation is gradually increased. If the power consumption per unit time rises relative to the time of the just-maintained maintenanceFor a customized period of time t during continued operation z When the cost increment is equal to the maintenance cost, the time point corresponding to the increment can be taken as the maintenance time point T w . Thus, the cost of energy saving is greater than the maintenance cost, and positive benefits are brought.
According to the rail transit electromechanical equipment operation and maintenance management method, energy consumption data of a plurality of historical operation periods of a plurality of electromechanical equipment are obtained; determining a target mechatronic device based on energy consumption data for a plurality of historical operating cycles of the plurality of mechatronic devices; establishing an energy consumption curve of the target electromechanical device based on the energy consumption data of the target electromechanical device in a plurality of historical operation periods; the maintenance time point is adjusted based on the energy consumption profile such that the sum of the maintenance cost and the power consumption cost is minimized. According to the application, the target electromechanical equipment with larger influence on power consumption by continuous operation time is screened, then an energy consumption curve which can reflect the relation between the continuous operation time and the power consumption of the target electromechanical equipment is established by means of historical data, and finally a maintenance time point is regulated in the energy consumption curve, so that the operation cost and the maintenance cost of the electromechanical equipment are reduced.
As shown in fig. 3, the present application further provides an operation and maintenance management system for an electromechanical device of a rail transit, including:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring energy consumption data of a plurality of historical operation periods of a plurality of electromechanical devices, wherein a starting time point and an ending time point of each historical operation period are maintenance time points, and the energy consumption data comprise power consumption of a plurality of time periods in the historical operation period;
the determining module is used for determining target electromechanical equipment based on the energy consumption data of a plurality of historical operation periods of the electromechanical equipment, wherein the power consumption of the electromechanical equipment is reduced in unit time after the target electromechanical equipment is maintained;
the model building module is used for building an energy consumption curve of the target electromechanical device based on the energy consumption data of a plurality of historical operation periods of the target electromechanical device, wherein the energy consumption curve represents the corresponding relation between the power consumption of the target electromechanical device and the continuous working time;
and the management module is used for adjusting the maintenance time point based on the energy consumption curve.
According to the rail transit electromechanical equipment operation and maintenance management system, energy consumption data of a plurality of historical operation periods of a plurality of electromechanical equipment are obtained; determining a target mechatronic device based on energy consumption data for a plurality of historical operating cycles of the plurality of mechatronic devices; establishing an energy consumption curve of the target electromechanical device based on the energy consumption data of the target electromechanical device in a plurality of historical operation periods; the maintenance time point is adjusted based on the energy consumption profile such that the sum of the maintenance cost and the power consumption cost is minimized. According to the application, the target electromechanical equipment with larger influence on power consumption by continuous operation time is screened, then an energy consumption curve which can reflect the relation between the continuous operation time and the power consumption of the target electromechanical equipment is established by means of historical data, and finally a maintenance time point is regulated in the energy consumption curve, so that the operation cost and the maintenance cost of the electromechanical equipment are reduced.
Fig. 4 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application. It should be noted that, the computer system 400 of the electronic device shown in fig. 4 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 4, the computer system 400 includes a central processing unit (Central Processing Unit, CPU) 401 that can perform various appropriate actions and processes, such as performing the methods in the above-described embodiments, according to a program stored in a Read-Only Memory (ROM) 402 or a program loaded from a storage section 408 into a random access Memory (Random Access Memory, RAM) 404. In the RAM 403, various programs and data required for the system operation are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An Input/Output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output portion 407 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, a speaker, and the like; a storage section 408 including a hard disk or the like; and a communication section 409 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. The drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 409 and/or installed from the removable medium 411. When executed by a Central Processing Unit (CPU) 401, performs the various functions defined in the system of the present application.
It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium may be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
Another aspect of the application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform a method as before. The computer-readable storage medium may be included in the electronic device described in the above embodiment or may exist alone without being incorporated in the electronic device.
Another aspect of the application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the methods provided in the above-described respective embodiments.
The above embodiments are merely preferred embodiments for fully explaining the present application, and the scope of the present application is not limited thereto. Equivalent substitutions and modifications will occur to those skilled in the art based on the present application, and are intended to be within the scope of the present application.
Claims (10)
1. The operation and maintenance management method for the electromechanical equipment of the rail transit is characterized by comprising the following steps of:
acquiring energy consumption data of a plurality of historical operation periods of various electromechanical devices, wherein a starting time point and an ending time point of each historical operation period are maintenance time points, and the energy consumption data comprise power consumption of a plurality of time periods in the historical operation period;
determining a target electromechanical device based on energy consumption data of a plurality of historical operating periods of the plurality of electromechanical devices, wherein the target electromechanical device has reduced power consumption per unit time after maintenance;
establishing an energy consumption curve of the target electromechanical device based on energy consumption data of a plurality of historical operation periods of the target electromechanical device, wherein the energy consumption curve represents a corresponding relation between the power consumption of the target electromechanical device and continuous working time;
and adjusting the maintenance time point based on the energy consumption curve so as to minimize the sum of the maintenance cost and the power consumption cost.
2. The method of operation and maintenance management of rail transit mechatronic devices of claim 1, wherein determining the target mechatronic device based on energy consumption data for a plurality of historical operating cycles of the plurality of mechatronic devices comprises:
screening the power consumption of a first time period which is before the maintenance time point and is nearest to the maintenance time point from the energy consumption data of each historical operation period of each electromechanical device; and screening the power consumption of a second time period which is after the maintenance time point and is nearest to the maintenance time point from the energy consumption data of each historical operation period of each electromechanical device;
for each electromechanical device, calculating the power consumption difference delta E of the corresponding arbitrary two adjacent first time periods and second time periods i ；
Based on a plurality of differences delta E corresponding to each electromechanical device i Calculating the average difference E, the difference variance sigma, the differenceThe mathematical expression of the value variance σ is:
wherein n is a natural number;
and when the average difference E is larger than a preset first threshold and the difference variance sigma is smaller than a preset second threshold, judging that the corresponding electromechanical device is the target electromechanical device.
3. The method of operation and maintenance management of rail transit electromechanical equipment according to claim 1, wherein building an energy consumption model of the target electromechanical equipment based on energy consumption data of a plurality of historical operating cycles of the target electromechanical equipment comprises:
establishing a coordinate system, wherein an X axis of the coordinate system is a time axis, and a Y axis is an energy consumption data axis;
aligning a starting time point of each historical operating period with a zero point of the coordinate system, and mapping energy consumption data of each historical operating period into the coordinate system;
averaging the power consumption corresponding to the same time of the coordinate system to obtain a plurality of average power consumption data points;
and fitting the plurality of average power consumption data points to obtain an energy consumption curve of the target electromechanical device.
4. The operation and maintenance management method of an electromechanical device of a rail transit system according to claim 1, wherein adjusting a maintenance time point based on the energy consumption curve includes:
acquiring maintenance cost C;
determining a maintenance time point T based on the energy consumption curve and the maintenance cost w Wherein the maintenance time point T w The method meets the following conditions:
wherein E is w For the maintenance time point T w Corresponding power consumption, E 0 For the start time point T 0 Corresponding power consumption, t 0 For the time period t z Is a custom time period.
5. The method for operation and maintenance management of rail transit electromechanical equipment according to claim 1, wherein obtaining energy consumption data of a plurality of historical operation cycles of a plurality of electromechanical equipment comprises:
acquiring the people flow of a rail transit station in a plurality of running time periods, wherein the running time periods belong to the same day;
calculating an average value of the people flow in the plurality of running time periods;
determining a running time period closest to the average value as the time period, and collecting energy consumption data of various electromechanical devices in the time period.
6. The method for managing operation and maintenance of an electromechanical device for rail transit according to claim 1, wherein the power consumption includes power consumption of the electromechanical device itself and power consumption of an air conditioning system for cooling the electromechanical device.
7. The method of claim 6, further comprising determining the converted power consumption of the electromechanical device by:
acquiring the working temperature and the environment temperature of the electromechanical equipment;
calculating a temperature difference between the working temperature and the ambient temperature;
and converting the temperature difference into the converted power consumption of the air conditioning system for cooling the electromechanical equipment by inquiring a pre-established data table.
8. An operation and maintenance management system for rail transit electromechanical equipment, comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring energy consumption data of a plurality of historical operation periods of a plurality of electromechanical devices, wherein a starting time point and an ending time point of each historical operation period are maintenance time points, and the energy consumption data comprise power consumption of a plurality of time periods in the historical operation period;
the determining module is used for determining target electromechanical equipment based on the energy consumption data of a plurality of historical operation periods of the electromechanical equipment, wherein the power consumption of the electromechanical equipment is reduced in unit time after the target electromechanical equipment is maintained;
the model building module is used for building an energy consumption curve of the target electromechanical device based on the energy consumption data of a plurality of historical operation periods of the target electromechanical device, wherein the energy consumption curve represents the corresponding relation between the power consumption of the target electromechanical device and the continuous working time;
and the management module is used for adjusting the maintenance time point based on the energy consumption curve so as to enable the sum of the maintenance cost and the power consumption cost to be minimum.
9. An electronic device, the electronic device comprising:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the electronic device to implement a rail transit electromechanical device operation and maintenance management method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform a rail transit electromechanical device operation and maintenance management method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310789974.1A CN116823223A (en) | 2023-06-30 | 2023-06-30 | Rail transit electromechanical equipment operation and maintenance management method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310789974.1A CN116823223A (en) | 2023-06-30 | 2023-06-30 | Rail transit electromechanical equipment operation and maintenance management method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116823223A true CN116823223A (en) | 2023-09-29 |
Family
ID=88112322
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310789974.1A Pending CN116823223A (en) | 2023-06-30 | 2023-06-30 | Rail transit electromechanical equipment operation and maintenance management method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116823223A (en) |
-
2023
- 2023-06-30 CN CN202310789974.1A patent/CN116823223A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107606730B (en) | Method and device for determining a chiller for cooling a data center | |
| CN105740975A (en) | Data association relationship-based equipment defect assessment and prediction method | |
| US20190035170A1 (en) | Servicing schedule method based on prediction of degradation in electrified vehicles | |
| CN114819696A (en) | Method and device for determining pollutant concentration influence factors and electronic equipment | |
| CN116937569A (en) | Intelligent energy storage method and device for photovoltaic power generation and electronic equipment | |
| CN116823223A (en) | Rail transit electromechanical equipment operation and maintenance management method and system | |
| Nikolaev et al. | Application of the cybernetic approach to price-dependent demand response for underground mining enterprise electricity consumption | |
| CN116949233A (en) | Blast furnace operation parameter adjustment method and device, electronic equipment and storage medium | |
| CN116051335A (en) | Environmental carbon management method through big data prediction direction | |
| CN114162184B (en) | Train operation plan creating method, device, equipment and storage medium | |
| US20210216934A1 (en) | Managing flexible grid resources | |
| CN114995545A (en) | Control method, device, equipment and medium for vehicle thermal management system | |
| CN108182609A (en) | Vehicle beauty treatment conserves industry price dynamic regulation and vehicle guide system and device | |
| CN112654077B (en) | Energy-saving method and device, and computer storage medium | |
| CN113988473A (en) | Method, system, device and storage medium for configuring energy in region | |
| CN115877793A (en) | Energy management and control system for oil field and energy consumption management and control method for oil field | |
| US20150088327A1 (en) | Energy savings forecasting method and device | |
| CN118036994A (en) | Intelligent building management method and system based on BIM scene construction | |
| CN117008674B (en) | Intelligent monitoring and adjusting system for energy consumption of data center | |
| CN115409427B (en) | Method and device for evaluating multiple states of resident load available regulation capacity | |
| CN116227170A (en) | Water cooling model calculation method and device, electronic equipment and storage medium | |
| CN116330925B (en) | Vehicle control method, device, terminal and medium | |
| US20230063791A1 (en) | Model management device and model managing method | |
| CN117291311A (en) | Power consumption prediction method and device, electronic equipment and storage medium | |
| CN111242522B (en) | Task monitoring method, device, equipment and storage medium thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |