CN114399234A - Regional centralized management method and system for subway station - Google Patents
Regional centralized management method and system for subway station Download PDFInfo
- Publication number
- CN114399234A CN114399234A CN202210297633.8A CN202210297633A CN114399234A CN 114399234 A CN114399234 A CN 114399234A CN 202210297633 A CN202210297633 A CN 202210297633A CN 114399234 A CN114399234 A CN 114399234A
- Authority
- CN
- China
- Prior art keywords
- station
- subway
- risk
- regional
- index
- 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.)
- Granted
Links
- 238000007726 management method Methods 0.000 title claims abstract description 96
- 238000000034 method Methods 0.000 claims abstract description 33
- 238000004364 calculation method Methods 0.000 claims abstract description 20
- 238000011156 evaluation Methods 0.000 claims description 56
- 239000011159 matrix material Substances 0.000 claims description 22
- 238000004590 computer program Methods 0.000 claims description 10
- 238000012544 monitoring process Methods 0.000 claims description 8
- 230000006378 damage Effects 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 6
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 claims description 4
- 238000013077 scoring method Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 description 14
- 238000011161 development Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 9
- 238000012954 risk control Methods 0.000 description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000002349 favourable effect Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000010354 integration Effects 0.000 description 3
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 238000007654 immersion Methods 0.000 description 2
- 208000014674 injury Diseases 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000003032 molecular docking Methods 0.000 description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 230000008447 perception Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 239000002341 toxic gas Substances 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- 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
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of intelligent subway stations, and particularly provides a regional centralized management method and a regional centralized management system for a subway station, wherein the method comprises the following steps: constructing an importance index system of the subway station; calculating the importance index of each subway station in the area according to the importance index system; defining and identifying risk points of each subway station during centralized management of subway station areas; calculating the risk of each risk point according to the possibility of risk occurrence and the severity of the consequences; determining a regional central subway station for regional centralized management according to the importance index and the risk; and determining the jurisdiction range of the regional center according to the operation time of the subway interval. According to the scheme of the invention, the problem of the setting method of centralized management of the subway station area without humanization management is solved, four first-level indexes and thirteen second-level indexes are introduced into the calculation of the station importance, the regional central station is determined by combining the station importance indexes and risks, and the selection of the regional central station and the determination of the jurisdiction range thereof are more in line with the actual transportation condition and are more comprehensive.
Description
Technical Field
The invention relates to the technical field of intelligent subway stations, in particular to a regional centralized management method and a regional centralized management system for an unmanned subway station.
Background
The current subway single station management has the following defects:
(1) the intelligence level is weak, and the method still depends on manual work;
(2) the training period of skilled workers is long, and the comprehensive labor cost is high;
(3) the staff is numerous and complex, and the management complexity is high;
(4) the risk efficiency of manual management and control and identification is low, and the adverse situations of omission, delay, misinformation and the like exist;
(5) subway station equipment is relatively independent, an island effect exists between the equipment and an existing system, and information between stations cannot be effectively shared;
aiming at the defects of the conventional subway single station management, the improvement, reconstruction and upgrading of a plurality of station equipment, services and services of urban rail transit are urgently needed, a regional central station is selected, the centralized and integrated linkage management of the station work of a plurality of stations is realized, and the unmanned management of subway stations is further realized, so that the station management efficiency is improved, and the aim of saving manpower resources is fulfilled.
Disclosure of Invention
The invention aims to solve at least one technical problem in the background art and provides a regional centralized management method and a regional centralized management system for a subway station.
In order to achieve the above object, the present invention provides a regional centralized management method for a subway station, comprising:
constructing an importance index system of the subway station;
calculating the importance index of each subway station in the area according to the importance index system;
defining and identifying risk points of each subway station during centralized management of subway station areas;
calculating the risk of each risk point according to the possibility of risk occurrence and the severity of the consequences;
determining a regional central subway station for regional centralized management according to the importance index and the risk;
and determining the jurisdiction range of the regional center according to the operation time of the subway interval.
According to one aspect of the invention, the importance index system comprises: passenger service index, station driving index, surrounding environment index and intelligent equipment index;
the passenger service index comprises an average passenger volume and an average passenger transaction volume, wherein the average passenger volume is the sum of the arrival volume and the transfer volume, and both the average passenger volume and the transfer volume are numerical indexes; the average passenger transaction volume includes: the average times that subway passengers need to transact ticket buying, cannot normally swipe cards to enter a station and carry out complaint affairs within a period of time;
the station driving type indexes comprise a turning-back station, an interlocking station, an access station and a station line to be avoided, wherein the turning-back station, the interlocking station, the access station and the station line to be avoided are all classification indexes;
the surrounding environment type indexes comprise a business circle station, a large-scale hub connection station and a convention and exhibition center, wherein the business circle station, the large-scale hub connection station and the convention and exhibition center are all classification indexes;
the intelligent equipment indexes comprise the number of station intelligent monitoring equipment, the number of AFC equipment, the number of intelligent guide robots and the number of intelligent emergency equipment.
According to one aspect of the invention, calculating the importance index of each subway station in the area according to the importance index system comprises the following steps:
according to the subway stationAverage passenger volume over a period of timeAnd average passenger transaction volumeAnd when n subway stations exist, establishing a passenger service type initial evaluation matrix:
based on the obtained passenger service class initial evaluation matrix C, the passenger service class evaluation score is obtained by using a TOPSIS evaluation method,;
According to whether the subway station i is a turn-back stationInterlocking stationOr access stationsAnd whether there is a line to be avoided in the subway station iDetermining a corresponding index、、Andif yes, the corresponding index is 1, if no, the corresponding index is 0, and the driving class evaluation score of the subway station is obtained according to the value,;
According to whether the subway station i is a commercial circle stationLarge-scale hub connection stationOr convention and exhibition centerGiving out corresponding index、Andif yes, the corresponding index is 1, if no, the corresponding index is 0, and the evaluation score of the surrounding environment class is obtained according to the value,;
According to the number of intelligent monitoring equipment of subway station iAFC device numberAnd intelligently guiding the number of robotsAnd number of intelligent emergency devicesAccording to saidMethod for establishing passenger service class initial evaluation matrix, intelligent equipment class initial evaluation matrix is established, and equipment class evaluation score is obtained by TOPSIS evaluation method,;
According to an expert scoring method, the weights of the passenger service index, the station driving index, the surrounding environment index and the intelligent equipment index are respectivelyAnd the importance index of the ith subway station is。
According to one aspect of the invention, calculating the risk of each risk point according to the probability of risk occurrence and the severity of the outcome comprises:
evaluating the risk of each risk point of the subway station through a quantifiable risk value R, wherein the risk value is determined by the combination of the risk factor occurrence risk event probability L and the consequence severity C;
the risk occurrence probability L is divided into five levels, which are: extremely high, medium, low, extremely low; when the height is extremely high, L is more than 9 and less than or equal to 10; when the height is high, L is more than 6 and less than or equal to 9; when the concentration is middle and equal, L is more than 3 and less than or equal to 6, and when the concentration is low, L is more than 1 and less than or equal to 3; when the content is extremely low, L is more than 0.5 and less than or equal to 1 and/or L is more than 0 and less than or equal to 0.5;
the consequence severity C is divided into four levels, respectively: particularly severe, more severe, not severe; particularly severe, C = 10; severe, C = 5; more severe, C = 2; when not severe, C = 1;
calculating a risk value for the risk point, whereinWhen the risk value is more than 0 and less than or equal to 5, the risk is smaller and the device is in an acceptable section; r is more than 5 and less than or equal to 20The risk level is general and needs to be monitored; when the risk value>At 20, the risk should be reduced at a reasonable cost; when the risk value>55, extremely dangerous, and when measures are taken to reduce the harm, the operation cannot be continued;
and selecting the maximum value of the risks of each risk point of the subway station as the risk of the station.
According to one aspect of the present invention, a regional center subway station for regional centralized management is determined according to the importance index and the risk, and the method includes:
selecting a plurality of stations with the highest importance indexes as regional center subway stations;
and if the risk of the station is more than 20, the station is a non-regional central subway station and returns to the previous step, otherwise, the next step is carried out.
According to one aspect of the invention, the determining the jurisdiction range of the regional center according to the operation time of the subway interval comprises the following steps:
according to the operation time of the subway sections, dividing the common stations of which the operation time does not exceed the maximum allowable value with the section operation time of the regional center subway station into the jurisdiction range of the regional center subway station, judging whether the number of the common stations divided into the regional center subway station exceeds the maximum allowable number or not, and if so, moving the stations with longer section operation time out of the jurisdiction range of the regional center subway station;
judging whether a station is not brought into the regional central subway station management or not, and if not, outputting the current scheme; otherwise, increasing the number of the selected regional center subway stations according to the importance index, re-executing the steps of selecting a plurality of stations with the highest importance indexes as the regional center subway stations and determining the jurisdiction range of the regional center.
In order to achieve the above object, the present invention further provides a regional centralized management system for a subway station, including:
the index system building module is used for building an importance index system of the subway station;
the index calculation module is used for calculating the importance index of each subway station in the area according to the importance index system;
the risk point definition and identification module is used for defining and identifying risk points of each subway station during regional centralized management of the subway stations;
the risk calculation module is used for calculating the risk of each risk point according to the risk occurrence possibility and the consequence severity;
the regional central subway station determining module is used for determining regional central subway stations for regional centralized management according to the importance indexes and the risks;
and the jurisdiction range determining module is used for determining the jurisdiction range of the regional center according to the operation time of the subway interval.
In order to achieve the above object, the present invention further provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and running on the processor, wherein the computer program, when executed by the processor, implements the regional centralized management method for a subway station.
To achieve the above object, the present invention further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the regional centralized management method for a subway station.
The invention has the beneficial effects that:
the method solves the problem of a setting method for centralized management of subway station areas without humanization management, introduces four first-level indexes and thirteen second-level indexes into the calculation of station importance, wherein intelligent equipment indexes can better reflect the demand of the subway station for "humanization", determines a regional central station by combining the station importance indexes and the new risks of various risk points of the "humanization" subway station, determines the administration range of the regional central station by considering interval running time division, and more comprehensively conforms to the actual transportation condition for selection of the regional central station and determination of the administration range.
The intelligent equipment related indexes are introduced into the calculation of the station importance degree, and the development trend of 'no humanization' of the subway station is conformed. Along with the continuous development of scientific technology, most work in the station management work can be replaced by advanced intelligent equipment and information technology, and station equipment facility linkage is stronger under regional centralized management, and all kinds of information utilization efficiency promotes, and corresponding manpower relevant cost can reduce by a wide margin, and operation and management and control efficiency further promote.
Under the regional centralized management mode, a part of work content of the station is replaced by intelligent equipment and information technology, and the personal workload of the rest work content is reduced to a certain extent. Therefore, less posts are arranged under the regional centralized management, the responsibility range of each post is further expanded, the existing 'post-fixing' operation mode is broken, and the station configuration is more flexible. Under the multi-professional integration and the multi-station service cooperative operation, the station service link becomes more efficient.
The method defines and identifies the newly appeared risk points under the regional centralized management of the 'unmanned' subway station, selects the regional central station according to the importance index of the station and the risk of the 'unmanned' station, can minimize the risk of the regional central station, is favorable for the centralized control of equipment and the risk control, and further promotes the development of the subway station to the unmanned direction in theory.
Drawings
Fig. 1 schematically shows a flow chart of a regional centralized management method of a subway station according to the present invention;
fig. 2 schematically shows a flowchart of a regional centralized management method of a subway station according to an embodiment of the present invention;
fig. 3 schematically shows a block diagram of a regional centralized management system of a subway station according to the present invention.
Detailed Description
The content of the invention will now be discussed with reference to exemplary embodiments. It is to be understood that the embodiments discussed are merely intended to enable one of ordinary skill in the art to better understand and thus implement the teachings of the present invention, and do not imply any limitations on the scope of the invention.
As used herein, the term "include" and its variants are to be read as open-ended terms meaning "including, but not limited to. The term "based on" is to be read as "based, at least in part, on". The terms "one embodiment" and "an embodiment" are to be read as "at least one embodiment".
Fig. 1 schematically shows a flow chart of a regional centralized management method of a subway station according to the present invention; fig. 2 schematically shows a flowchart of a regional centralized management method of a subway station according to an embodiment of the present invention. Referring to fig. 1 and 2, the regional centralized management method for the subway station according to the present invention includes the following steps:
a. constructing an importance index system of the subway station;
b. calculating the importance index of each subway station in the area according to the importance index system;
c. defining and identifying risk points of each subway station during centralized management of subway station areas;
d. calculating the risk of each risk point according to the possibility of risk occurrence and the severity of the consequences;
e. determining a regional central subway station for regional centralized management according to the importance index and the risk;
f. and determining the jurisdiction range of the regional center according to the operation time of the subway interval.
According to an embodiment of the present invention, in the step a, constructing a subway station importance level index system is actually an index system for constructing an unmanned management subway station importance level, and means that the importance level of a subway station is evaluated by integrating various aspects of the subway station. Specifically, as shown in table 1 below, the system includes an importance index system using passenger service class, station traffic class, surrounding environment class, and intelligent device class as primary indexes, and an importance index system using average passenger transportation volume, average passenger transaction volume, turning-back station, interlocking station, entrance and exit station, line to be avoided, business circle station, large-scale junction docking station, convention center, intelligent monitoring device, AFC device number, intelligent guidance robot, and intelligent emergency device as secondary indexes.
TABLE 1
Wherein, intelligent supervisory equipment is that the camera equipment includes high definition digtal camera, intelligent camera and warning camera, and combine 5G, AI, information technology such as thing networking and AR, advanced technologies such as video concatenation realize unifying the control to large-scale computer lab, there is the special area who shelters from the environment, realize the comprehensive perception to site environment, and develop regularly according to the mode of predetermineeing, comprehensive self-checking, patrol, and through visual mobile terminal real-time feedback patrol result, display device state, position when discovering the trouble, effectively improve station affair management efficiency.
The intelligent guiding robot can answer questions of passengers, can guide and lead the passengers to arrive at a station in a designated service area, can carry out activity propaganda and intelligent propaganda through man-machine interaction, and can also support the intelligent robot for directly purchasing tickets through voice of the passengers.
The intelligent emergency equipment can automatically monitor and process accidents such as fire, poison gas and water immersion, such as a numerical control automatic positioning fire extinguishing water cannon, gas detection and analysis equipment and the like.
In the present embodiment, as shown in table 1 above, the passenger service class index includes an average passenger volume and an average passenger transaction volume, where the average passenger volume is the sum of the arrival volume and the transfer volume, both of which are numerical indices; the average passenger transaction volume includes: the average times that subway passengers need to transact ticket buying, cannot normally swipe cards to enter a station and carry out complaint affairs within a period of time;
the station driving type indexes comprise a turning-back station, an interlocking station, an in-out station and a station line to be avoided, wherein the turning-back station, the interlocking station, the in-out station and the station line to be avoided are all classification indexes;
the peripheral environment indexes comprise a business circle station, a large-scale hub connection station and a convention and exhibition center, wherein the business circle station, the large-scale hub connection station and the convention and exhibition center are all classification indexes;
the intelligent equipment indexes comprise the number of station intelligent monitoring equipment, the number of AFC equipment, the number of intelligent guide robots and the number of intelligent emergency equipment.
According to an embodiment of the present invention, in the step b, the importance index of each station is calculated based on expert scoring and a TOPSIS evaluation method, wherein the TOPSIS evaluation method can make full use of the information of the original data, and the result can accurately reflect the gap between each evaluation scheme.
Specifically, the reference weight of the primary index is determined through expert scoring, the score of the secondary index is calculated through a TOPSIS (technique for order preference by similarity to a set of the set of similarity to a set of the two sets.
Wherein, the score calculation result of the secondary index is as follows:
passenger service class index: according to the subway stationAverage passenger volume over a period of timeAnd average passenger transaction volumeAnd when n stations exist, establishing a passenger service class initial evaluation matrix:
Wherein, the TOPSIS evaluation method comprises the following steps:
all the selected indexes are maximization indexes without the need of forward indexes;
and (3) standardizing the evaluation matrix, wherein in order to eliminate the influence of different index dimensions, the standardized index matrix needs to be standardized, and the standardized index matrix is recorded as follows:
the matrix element standardization calculation formula is as follows:
Calculate the firstDistance between each evaluation object and positive and negative ideal solutionAnd;
calculate the firstEvaluation score of passenger service class of individual evaluation object,It can be seen thatAnd is andthe larger theThe smaller, i.e., closer to the maximum;
station driving type indexes: according to whether the subway station i is a turn-back stationInterlocking stationOr access stationsAnd whether there is a line to be avoided in the subway station iDetermining a corresponding index、、Andif yes, the corresponding index is 1, if no, the corresponding index is 0, and the station driving class evaluation is obtained according to the valuePrice score,;
Ambient environment type index: according to whether the subway station i is a commercial circle stationLarge-scale hub connection stationOr convention and exhibition centerGiving out corresponding index、Andif yes, the corresponding index is 1, if no, the corresponding index is 0, and the evaluation score of the surrounding environment class is obtained according to the value,;
Intelligent equipment index: according to the number of intelligent monitoring equipment of subway station iAFC device numberIntelligent robot guiding numberMeasurement ofAnd number of intelligent emergency devicesEstablishing an intelligent equipment initial evaluation matrix according to the method for establishing the passenger service initial evaluation matrix, and obtaining an equipment evaluation score by using a TOPSIS (technique for order preference by similarity to similarity) evaluation method,;
According to an expert scoring method, the weights of the passenger service index, the station driving index, the surrounding environment index and the intelligent equipment index are respectivelyAnd the importance index of the ith station is。
According to an embodiment of the present invention, in the step c, the risk points of the subway stations when the subway station regions are managed in a centralized manner are defined and identified, so that when it is expected that future unmanned subway stations face different scenes, due to the risk that may occur due to unmanned management, the risk that may occur is defined, and then the relevant subway stations are identified after the risk is defined, that is, which risks in the defined risk may exist in the relevant subway stations are determined. In this embodiment, the process of defining and identifying is manually statistical.
According to an embodiment of the present invention, in the step d, calculating the risk of each risk point according to the risk occurrence probability and the severity of the outcome, includes:
evaluating the risk of each risk point of the subway station through a quantifiable risk value R, wherein the risk value is determined by the combination of the risk factor occurrence risk event probability L and the consequence severity C;
calculating a risk value for the risk point, whereinWhen the risk value is more than 0 and less than or equal to 5, the risk is smaller and the device is in an acceptable section; when R is more than 5 and less than or equal to 20, the risk level is general and needs to be monitored; when the risk value>At 20, the risk should be reduced at a reasonable cost; when the risk value>55, extremely dangerous, and when measures are taken to reduce the harm, the operation cannot be continued;
and selecting the maximum value of the risks of each risk point of the subway station as the risk of the subway station.
In the present embodiment, the risk points refer to locations, facilities, places and areas accompanied by risks under centralized management of an unmanned subway station area, and work processes accompanied by risks performed at specific locations, facilities, places and areas, or a combination of the above, and specific criteria are as shown in table 2 below:
TABLE 2
In the present embodiment, the risk occurrence probability L is divided into five levels, which are: the specific judgment standards are shown in the following table 3:
TABLE 3
The possibility described in table 3 refers to the probability of occurrence of an accident (event).
In this embodiment, the consequence severity C is divided into four levels, which are: the specific judgment criteria are shown in the following table 4:
TABLE 4
In the present embodiment, the severity of the consequences described in table 4 refers to the severity of personal injury and economic loss that will result once an accident (event) occurs.
According to an embodiment of the present invention, in the steps e and f, determining a regional center subway station for regional centralized management according to the importance index and the risk includes:
selecting a plurality of stations with the highest importance indexes as regional center subway stations (namely selecting a plurality of subway stations with the top importance indexes as regional center subway stations);
and if the risk of the station is more than 20, the station cannot be selected as the regional center subway station, and the previous step is returned, otherwise, the next step is carried out.
Determining the jurisdiction range of a regional center according to the operation time of the subway interval, comprising the following steps:
according to the operation time of the subway sections, dividing the common stations of which the operation time does not exceed the maximum allowable value with the section operation time of the regional center subway station into the jurisdiction range of the regional center subway station, judging whether the number of the common stations divided into the regional center subway station exceeds the maximum allowable number or not, and if so, moving the stations with longer section operation time out of the jurisdiction range of the regional center subway station;
judging whether a station is not brought into the regional central subway station management or not, and if not, outputting the current scheme; otherwise, increasing the number of the selected regional central subway stations according to the importance index, then re-selecting a plurality of stations with the highest importance index as the regional central subway stations (increasing the regional central subway stations according to the importance index, namely further selecting one or more subway stations with the importance indexes ranked in the front as the regional central subway stations on the original basis), and re-determining the jurisdiction range of the regional center according to the newly added regional central subway stations.
In this embodiment, the maximum allowable value is the longest acceptable interval running time between the regional central subway station and the common station administered by the regional central subway station, and the maximum allowable value can be given according to a specific line, so that the cost of equipment for concentrating the common station to the central station after the maximum allowable value is exceeded is greatly increased, and risk control is not facilitated.
The maximum allowable number is the maximum value of the number of common stations allowed to be administered by the regional central station, and can be given according to a specific line, if the number of the common stations in administration exceeds the maximum allowable number, the concentration of equipment, the allocation of personnel and the management and control of risks are not facilitated.
According to the method, the problem of a setting method for centralized management of the subway station region without humanization management is solved, four first-level indexes and thirteen second-level indexes are introduced into the calculation of the importance degree of the station, wherein the intelligent equipment indexes can better reflect the requirement of the unmanned subway station, the regional central station is determined by combining the importance degree indexes of the station and the risk of each new risk point of the unmanned subway station, the jurisdiction range of the regional central station is determined by considering the interval operation time division, and the selection of the regional central station and the determination of the jurisdiction range are more in line with the actual transportation condition.
According to the method, the relevant indexes of the intelligent equipment are introduced into the calculation of the importance degree of the station, and the development trend of 'no humanization' of the subway station is complied with. Along with the continuous development of scientific technology, most work in the station management work can be replaced by advanced intelligent equipment and information technology, and station equipment facility linkage is stronger under regional centralized management, and all kinds of information utilization efficiency promotes, and corresponding manpower relevant cost can reduce by a wide margin, and operation and management and control efficiency further promote.
Under the regional centralized management mode, a part of work content of the station is replaced by intelligent equipment and information technology, and the personal workload of the rest work content is reduced to a certain extent. Therefore, less posts are arranged under the regional centralized management, the responsibility range of each post is further expanded, the existing 'post-fixing' operation mode is broken, and the station configuration is more flexible. Under the multi-professional integration and the multi-station service cooperative operation, the station service link becomes more efficient.
The method defines and identifies the newly appeared risk points under the regional centralized management of the 'unmanned' subway station, selects the regional central station according to the importance index of the station and the risk of the 'unmanned' station, can minimize the risk of the regional central station, is favorable for the centralized control of equipment and the risk control, and further promotes the development of the subway station to the unmanned direction in theory.
In order to achieve the above object, the present invention further provides a regional centralized management system for a subway station, where a system block diagram is shown in fig. 3, and the system block specifically includes:
the index system building module is used for building an importance index system of the subway station;
the index calculation module is used for calculating the importance index of each subway station in the area according to the importance index system;
the risk point definition and identification module is used for defining and identifying risk points of each subway station during regional centralized management of the subway stations;
the risk calculation module is used for calculating the risk of each risk point according to the risk occurrence possibility and the consequence severity;
the regional central subway station determining module is used for determining regional central subway stations for regional centralized management according to the importance indexes and the risks;
and the jurisdiction range determining module is used for determining the jurisdiction range of the regional center according to the operation time of the subway interval.
According to an embodiment of the invention, in the index system building module, building the subway station importance index system is actually a building unmanned management subway station importance index system, and is to evaluate the importance of the subway station by integrating all aspects of the subway station. Specifically, as shown in table 1 above, the system includes an importance index system using passenger service type, station driving type, surrounding environment type, and intelligent device type as primary indexes, and an importance index system using average passenger transportation volume, average passenger transaction volume, turning-back station, interlocking station, station of entering and exiting, line to be avoided, business circle station, large-scale junction docking station, exhibition center, intelligent monitoring device number, AFC device number, intelligent guidance robot number, and intelligent emergency device number as secondary indexes.
Wherein, intelligent supervisory equipment is that the camera equipment includes high definition digtal camera, intelligent camera and warning camera, and combine 5G, AI, information technology such as thing networking and AR, advanced technologies such as video concatenation realize unifying the control to large-scale computer lab, there is the special area who shelters from the environment, realize the comprehensive perception to site environment, and develop regularly according to the mode of predetermineeing, comprehensive self-checking, patrol, and through visual mobile terminal real-time feedback patrol result, display device state, position when discovering the trouble, effectively improve station affair management efficiency.
The intelligent guiding robot can answer questions of passengers, can guide and lead the passengers to arrive at a station in a designated service area, can carry out activity propaganda and intelligent propaganda through man-machine interaction, and can also support the intelligent robot for directly purchasing tickets through voice of the passengers.
The intelligent emergency equipment can automatically monitor and process accidents such as fire, poison gas and water immersion, such as a numerical control automatic positioning fire extinguishing water cannon, gas detection and analysis equipment and the like.
In the present embodiment, as shown in table 1 above, the passenger service class index includes an average passenger volume and an average passenger transaction volume, where the average passenger volume is the sum of the arrival volume and the transfer volume, both of which are numerical indices; the average passenger transaction volume includes: the average times that subway passengers need to transact ticket buying, cannot normally swipe cards to enter a station and carry out complaint affairs within a period of time;
the station driving type indexes comprise a turning-back station, an interlocking station, an in-out station and a station line to be avoided, wherein the turning-back station, the interlocking station, the in-out station and the station line to be avoided are all classification indexes;
the peripheral environment indexes comprise a business circle station, a large-scale hub connection station and a convention and exhibition center, wherein the business circle station, the large-scale hub connection station and the convention and exhibition center are all classification indexes;
the intelligent equipment indexes comprise the number of station intelligent monitoring equipment, the number of AFC equipment, the number of intelligent guide robots and the number of intelligent emergency equipment.
According to one embodiment of the invention, in the index calculation module, the importance indexes of each station are calculated based on expert scoring and a TOPSIS evaluation method, wherein the TOPSIS evaluation method can fully utilize the information of original data, and the result can accurately reflect the difference between each evaluation scheme.
Specifically, the reference weight of the primary index is determined through expert scoring, the score of the secondary index is calculated through a TOPSIS (technique for order preference by similarity to a set of the set of similarity to a set of the two sets.
Wherein, the score calculation result of the secondary index is as follows:
passenger serviceService class indexes: according to the subway stationAverage passenger volume over a period of timeAnd average passenger transaction volumeAnd when n stations exist, establishing a passenger service class initial evaluation matrix:
Wherein, the TOPSIS evaluation method comprises the following steps:
all the selected indexes are maximization indexes without the need of forward indexes;
and (3) standardizing the evaluation matrix, wherein in order to eliminate the influence of different index dimensions, the standardized index matrix needs to be standardized, and the standardized index matrix is recorded as follows:
the matrix element standardization calculation formula is as follows:
Calculate the firstDistance between each evaluation object and positive and negative ideal solutionAnd;
calculate the firstEvaluation score of passenger service class of individual evaluation object,It can be seen thatAnd is andthe larger theThe smaller, i.e. closer to a large value;
station driving type indexes: according to whether the subway station i is a turn-back stationInterlocking stationOr access stationsAnd whether there is a line to be avoided in the subway station iDetermining a corresponding index、、Andif yes, the corresponding index is 1, if no, the corresponding index is 0, and the station train type evaluation score is obtained according to the value,;
Ambient environment type index: according to whether the subway station i is a commercial circle stationLarge-scale hub connection stationOr convention and exhibition centerGiving out corresponding index、Andif yes, the corresponding index is 1, if no, the corresponding index is 0, and the evaluation score of the surrounding environment class is obtained according to the value,;
Intelligent equipment index: according to the number of intelligent monitoring equipment of subway station iAFC device numberAnd intelligently guiding the number of robotsAnd number of intelligent emergency devicesEstablishing intelligent equipment initial evaluation matrix according to the method for establishing passenger service initial evaluation matrixEvaluating the matrix, and obtaining the evaluation score of the equipment by using TOPSIS evaluation method,;
According to an expert scoring method, the weights of the passenger service index, the station driving index, the surrounding environment index and the intelligent equipment index are respectivelyAnd the importance index of the ith station is。
According to one embodiment of the invention, in the risk point definition identification module, risk points of various subway stations during centralized management of subway station areas are defined and identified, so that risks which may occur due to unmanned management when future unmanned subway stations are expected to face different scenes are expected, are defined, and then the risks which may occur are identified after the risks are defined for the related subway stations, that is, which risks in the defined risks exist in the related subway stations are determined. In this embodiment, the process of defining and identifying is manually statistical.
According to one embodiment of the present invention, in the risk calculation module, calculating the risk of each risk point according to the risk occurrence probability and the severity of the outcome, the risk calculation module comprises:
evaluating the risk of each risk point of the subway station through a quantifiable risk value R, wherein the risk value is determined by the combination of the risk factor occurrence risk event probability L and the consequence severity C;
calculating a risk value for the risk point, whereinWhen the risk value is more than 0 and less than or equal to 5, the risk is smaller and the device is in an acceptable section; 5 < (R) >When R is less than or equal to 20, the risk level is general and needs to be monitored; when the risk value>At 20, the risk should be reduced at a reasonable cost; when the risk value>55, extremely dangerous, and when measures are taken to reduce the harm, the operation cannot be continued;
and selecting the maximum value of the risks of each risk point of the subway station as the risk of the station.
In the present embodiment, the risk points refer to locations, facilities, places, and areas associated with risks under centralized management of an unmanned subway station area, and work processes associated with risks performed at specific locations, facilities, places, and areas, or a combination of the above, and specific criteria are as shown in table 2 above.
In the present embodiment, the risk occurrence probability L is divided into five levels, which are: the specific judgment criteria are shown in table 3 above.
The possibility described in table 3 refers to the probability of occurrence of an accident (event).
In this embodiment, the consequence severity C is divided into four levels, which are: particularly severe, more severe, not severe, the specific criteria are shown in table 4 above.
In the present embodiment, the severity of the consequences described in table 4 refers to the severity of personal injury and economic loss that will result once an accident (event) occurs.
According to an embodiment of the present invention, in a regional central subway station determining module and a jurisdiction determining module, a regional central subway station for regional centralized management is determined according to an importance index and a risk, and the method includes:
selecting a plurality of stations with the highest importance indexes as regional center subway stations;
and if the risk of the station is more than 20, the station cannot be selected as the regional center subway station, and the previous step is returned, otherwise, the next step is carried out.
Determining the jurisdiction range of a regional center according to the operation time of the subway interval, comprising the following steps:
according to the operation time of the subway sections, dividing the common stations of which the operation time does not exceed the maximum allowable value with the section operation time of the regional center subway station into the jurisdiction range of the regional center subway station, judging whether the number of the common stations divided into the regional center subway station exceeds the maximum allowable number or not, and if so, moving the stations with longer section operation time out of the jurisdiction range of the regional center subway station;
judging whether a station is not brought into the regional central subway station management or not, and if not, outputting the current scheme; otherwise, increasing the number of the selected regional center subway stations according to the importance index, re-executing the steps of selecting a plurality of stations with the highest importance indexes as the regional center subway stations and determining the jurisdiction range of the regional center.
In this embodiment, the maximum allowable value is the longest acceptable interval running time between the regional central subway station and the common station administered by the regional central subway station, and the maximum allowable value can be given according to a specific line, so that the cost of equipment for concentrating the common station to the central station after the maximum allowable value is exceeded is greatly increased, and risk control is not facilitated.
The maximum allowable number is the maximum value of the number of common stations allowed to be administered by the regional central station, and can be given according to a specific line, if the number of the common stations in administration exceeds the maximum allowable number, the concentration of equipment, the allocation of personnel and the management and control of risks are not facilitated.
Further, to achieve the above object, the present invention also provides an electronic device, including: the system comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein when the computer program is executed by the processor, the regional centralized management method of the subway station is realized.
In order to achieve the above object, the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the regional centralized management method for a subway station.
According to the scheme of the invention, the problem of the setting method of centralized management of the subway station region without humanization management is solved, four first-level indexes and thirteen second-level indexes are introduced into the calculation of the importance degree of the station, wherein the intelligent equipment indexes can better reflect the requirement of the unmanned subway station, the regional central station is determined by combining the importance degree indexes of the station and the new risks of various risk points of the unmanned subway station, the administration range of the regional central station is determined by considering the interval operation time division, and the selection of the regional central station and the determination of the administration range are more in line with the actual transportation condition.
According to the scheme of the invention, the intelligent equipment related indexes are introduced into the calculation of the station importance degree, and the development trend of 'no humanization' of the subway station is complied with. Along with the continuous development of scientific technology, most work in the station management work can be replaced by advanced intelligent equipment and information technology, and station equipment facility linkage is stronger under regional centralized management, and all kinds of information utilization efficiency promotes, and corresponding manpower relevant cost can reduce by a wide margin, and operation and management and control efficiency further promote.
Under the regional centralized management mode, a part of work content of the station is replaced by intelligent equipment and information technology, and the personal workload of the rest work content is reduced to a certain extent. Therefore, less posts are arranged under the regional centralized management, the responsibility range of each post is further expanded, the existing 'post-fixing' operation mode is broken, and the station configuration is more flexible. Under the multi-professional integration and the multi-station service cooperative operation, the station service link becomes more efficient.
The method defines and identifies the newly appeared risk points under the regional centralized management of the 'unmanned' subway station, selects the regional central station according to the importance index of the station and the risk of the 'unmanned' station, can minimize the risk of the regional central station, is favorable for the centralized control of equipment and the risk control, and further promotes the development of the subway station to the unmanned direction in theory.
Those of ordinary skill in the art will appreciate that the modules and algorithm steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and devices may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, each functional module in the embodiments of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method for transmitting/receiving the power saving signal according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by a person skilled in the art that the scope of the invention as referred to in the present application is not limited to the embodiments with a specific combination of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
It should be understood that the order of execution of the steps in the summary of the invention and the embodiments of the present invention does not absolutely imply any order of execution, and the order of execution of the steps should be determined by their functions and inherent logic, and should not be construed as limiting the process of the embodiments of the present invention.
Claims (9)
1. The regional centralized management method of the subway station is characterized by comprising the following steps:
constructing an importance index system of the subway station;
calculating the importance index of each subway station in the area according to the importance index system;
defining and identifying risk points of each subway station during centralized management of subway station areas;
calculating the risk of each risk point according to the possibility of risk occurrence and the severity of the consequences;
determining a regional central subway station for regional centralized management according to the importance index and the risk;
and determining the jurisdiction range of the regional center according to the operation time of the subway interval.
2. A regional centralized management method for subway stations as claimed in claim 1, wherein said importance index system comprises: passenger service index, station driving index, surrounding environment index and intelligent equipment index;
the passenger service index comprises an average passenger volume and an average passenger transaction volume, wherein the average passenger volume is the sum of the arrival volume and the transfer volume, and both the average passenger volume and the transfer volume are numerical indexes; the average passenger transaction volume includes: the average times that subway passengers need to transact ticket buying, cannot normally swipe cards to enter a station and carry out complaint affairs within a period of time;
the station driving type indexes comprise a turning-back station, an interlocking station, an access station and a station line to be avoided, wherein the turning-back station, the interlocking station, the access station and the station line to be avoided are all classification indexes;
the surrounding environment type indexes comprise a business circle station, a large-scale hub connection station and a convention and exhibition center, wherein the business circle station, the large-scale hub connection station and the convention and exhibition center are all classification indexes;
the intelligent equipment indexes comprise the number of station intelligent monitoring equipment, the number of AFC equipment, the number of intelligent guide robots and the number of intelligent emergency equipment.
3. A regional centralized management method for subway stations as claimed in claim 2, wherein calculating the importance index of each subway station in a region according to said importance index system comprises:
according to the subway stationAverage passenger volume over a period of timeAnd average passenger transaction volume,nAnd (3) establishing a passenger service type initial evaluation matrix during each subway station:
based on the obtained passenger service class initial evaluation matrix C, the passenger service class evaluation score is obtained by using a TOPSIS evaluation method,;
According to whether the subway station i is a turn-back stationInterlocking stationOr access stationsAnd whether there is a line to be avoided in the subway station iDetermining a corresponding index、、Andif so, thenThe corresponding index is 1, if not, the corresponding index is 0, and the driving class evaluation score of the subway station is obtained according to the index,;
According to whether the subway station i is a commercial circle stationLarge-scale hub connection stationOr convention and exhibition centerGiving out corresponding index、Andif yes, the corresponding index is 1, if no, the corresponding index is 0, and the evaluation score of the surrounding environment class is obtained according to the value,;
According to the number of intelligent monitoring equipment of subway station iAFC device numberAnd intelligently guiding the number of robotsAnd number of intelligent emergency devicesEstablishing an intelligent equipment initial evaluation matrix according to the method for establishing the passenger service initial evaluation matrix, and obtaining an equipment evaluation score by using a TOPSIS (technique for order preference by similarity to similarity) evaluation method,;
4. A regional centralized management method for subway stations as claimed in claim 3, wherein calculating the risk of each risk point according to the risk occurrence probability and the severity of the consequences comprises:
evaluating the risk of each risk point of the subway station through a quantifiable risk value R, wherein the risk value is determined by the combination of the risk factor occurrence risk event probability L and the consequence severity C;
the risk occurrence probability L is divided into five levels, which are: extremely high, medium, low, extremely low; when the height is extremely high, L is more than 9 and less than or equal to 10; when the height is high, L is more than 6 and less than or equal to 9; when the concentration is middle and equal, L is more than 3 and less than or equal to 6, and when the concentration is low, L is more than 1 and less than or equal to 3; when the content is extremely low, L is more than 0.5 and less than or equal to 1 and/or L is more than 0 and less than or equal to 0.5;
the consequence severity C is divided into four levels, respectively: particularly severe, more severe, not severe; particularly severe, C = 10; severe, C = 5; more severe, C = 2; when not severe, C = 1;
calculating a risk value for the risk point, whereinWhen the risk value is more than 0 and less than or equal to 5, the risk is smaller and the device is in an acceptable section; when R is more than 5 and less than or equal to 20, the risk level is general and needs to be monitored; when the risk value>At 20, the risk should be reduced at a reasonable cost; when the risk value>55, extremely dangerous, and when measures are taken to reduce the harm, the operation cannot be continued;
and selecting the maximum value of the risks of each risk point of the subway station as the risk of the station.
5. A regional centralized management method for subway stations as claimed in claim 4, wherein determining regional central subway stations for regional centralized management according to said importance index and said risk comprises:
selecting a plurality of stations with the highest importance indexes as regional center subway stations;
and if the risk of the station is more than 20, the station is a non-regional central subway station and returns to the previous step, otherwise, the next step is carried out.
6. The regional centralized management method for subway stations as claimed in claim 5, wherein determining the regional central jurisdiction range according to the subway section running time comprises:
according to the operation time of the subway sections, dividing the common stations of which the operation time does not exceed the maximum allowable value with the section operation time of the regional center subway station into the jurisdiction range of the regional center subway station, judging whether the number of the common stations divided into the regional center subway station exceeds the maximum allowable number or not, and if so, moving the stations with longer section operation time out of the jurisdiction range of the regional center subway station;
judging whether a station is not brought into the regional central subway station management or not, and if not, outputting the current scheme; otherwise, increasing the number of the selected regional center subway stations according to the importance index, re-executing the steps of selecting a plurality of stations with the highest importance indexes as the regional center subway stations and determining the jurisdiction range of the regional center.
7. Regional centralized management system at subway station, its characterized in that includes:
the index system building module is used for building an importance index system of the subway station;
the index calculation module is used for calculating the importance index of each subway station in the area according to the importance index system;
the risk point definition and identification module is used for defining and identifying risk points of each subway station during regional centralized management of the subway stations;
the risk calculation module is used for calculating the risk of each risk point according to the risk occurrence possibility and the consequence severity;
the regional central subway station determining module is used for determining regional central subway stations for regional centralized management according to the importance indexes and the risks;
and the jurisdiction range determining module is used for determining the jurisdiction range of the regional center according to the operation time of the subway interval.
8. An electronic device, comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing a regional centralized management method for a subway station as claimed in any one of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a regional centralized management method of a subway station as claimed in any one of claims 1 to 6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210297633.8A CN114399234B (en) | 2022-03-25 | 2022-03-25 | Regional centralized management method and system for subway station |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210297633.8A CN114399234B (en) | 2022-03-25 | 2022-03-25 | Regional centralized management method and system for subway station |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114399234A true CN114399234A (en) | 2022-04-26 |
CN114399234B CN114399234B (en) | 2022-06-10 |
Family
ID=81233895
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210297633.8A Active CN114399234B (en) | 2022-03-25 | 2022-03-25 | Regional centralized management method and system for subway station |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114399234B (en) |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104217367A (en) * | 2014-09-16 | 2014-12-17 | 北京交通大学 | Dynamic security risk assessment method of rail transit line |
CN106951994A (en) * | 2017-03-21 | 2017-07-14 | 武汉理工大学 | A kind of site selecting method of marine emergency management and rescue website |
CN108335054A (en) * | 2018-03-28 | 2018-07-27 | 东南大学 | A kind of sub-interchange facility efficiency evaluation method |
CN108960677A (en) * | 2018-07-25 | 2018-12-07 | 东南大学 | A kind of evaluation method of subway station operation security |
CN110378573A (en) * | 2019-06-27 | 2019-10-25 | 厦门理工学院 | A kind of Urban Rail Transit supply and demand Evaluation on distribution method |
CN111598427A (en) * | 2020-05-12 | 2020-08-28 | 东南大学 | Urban rail transit station importance evaluation method |
US20200349485A1 (en) * | 2019-07-11 | 2020-11-05 | Beihang University | Optimization method for joint scheduling of manned buses and autonomous buses |
CN113505341A (en) * | 2021-09-08 | 2021-10-15 | 北京科技大学 | Method and device for evaluating subway safety risk and emergency capacity based on situation construction |
CN113554298A (en) * | 2021-07-19 | 2021-10-26 | 同济大学 | Comprehensive evaluation and intelligent operation and maintenance method for deep underground subway station |
-
2022
- 2022-03-25 CN CN202210297633.8A patent/CN114399234B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104217367A (en) * | 2014-09-16 | 2014-12-17 | 北京交通大学 | Dynamic security risk assessment method of rail transit line |
CN106951994A (en) * | 2017-03-21 | 2017-07-14 | 武汉理工大学 | A kind of site selecting method of marine emergency management and rescue website |
CN108335054A (en) * | 2018-03-28 | 2018-07-27 | 东南大学 | A kind of sub-interchange facility efficiency evaluation method |
CN108960677A (en) * | 2018-07-25 | 2018-12-07 | 东南大学 | A kind of evaluation method of subway station operation security |
CN110378573A (en) * | 2019-06-27 | 2019-10-25 | 厦门理工学院 | A kind of Urban Rail Transit supply and demand Evaluation on distribution method |
US20200349485A1 (en) * | 2019-07-11 | 2020-11-05 | Beihang University | Optimization method for joint scheduling of manned buses and autonomous buses |
CN111598427A (en) * | 2020-05-12 | 2020-08-28 | 东南大学 | Urban rail transit station importance evaluation method |
CN113554298A (en) * | 2021-07-19 | 2021-10-26 | 同济大学 | Comprehensive evaluation and intelligent operation and maintenance method for deep underground subway station |
CN113505341A (en) * | 2021-09-08 | 2021-10-15 | 北京科技大学 | Method and device for evaluating subway safety risk and emergency capacity based on situation construction |
Also Published As
Publication number | Publication date |
---|---|
CN114399234B (en) | 2022-06-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11958517B2 (en) | Intelligent train operation adjustment system and method based on real-time passenger flow | |
CN107967562A (en) | A kind of construction site job safety remote-control system and method | |
CN106815709A (en) | One kind service quick response center support system and method | |
CN110009475A (en) | Risk checks method for monitoring, device, computer equipment and storage medium | |
CN112884325A (en) | Method and system for application analysis and health condition evaluation of customer station equipment | |
CN112329688B (en) | Intelligent risk management and control system for public places | |
CN107985350A (en) | A kind of inter-linked controlling method and correlating center at Metro Network center | |
CN113222409A (en) | Intelligent scheduling system and method for urban rail transit | |
CN112477927A (en) | Rail transit station control information system based on mobile terminal | |
CN112800910A (en) | Communication machine room maintenance operation efficiency evaluation method and system | |
CN112465334A (en) | Rapid early warning method and system for rail transit accident | |
CN110826962A (en) | Unmanned aerial vehicle intelligent management platform | |
CN114390156A (en) | Rail transit video analysis control box, system and method | |
CN114399234B (en) | Regional centralized management method and system for subway station | |
CN111985776A (en) | Cloud-based labor supervision system and supervision method thereof | |
CN105225193A (en) | A kind of method and system of the sector runnability aggregative index based on multiple regression model | |
Kontogiannis et al. | Integrating operational and risk information with system risk models in air traffic control | |
CN112163830A (en) | Workflow-based decision method, control device and storage medium | |
Li et al. | CPT Model‐Based Prediction of the Temporal and Spatial Distributions of Passenger Flow for Urban Rail Transit under Emergency Conditions | |
Yan et al. | Evaluating railway operation safety situation in China based on an improved TOPSIS method: A regional perspective | |
CN111291909A (en) | Government affair service system based on intelligent management | |
CN112308356A (en) | Community equipment patrol and security patrol method and system | |
CN116039722A (en) | Full-automatic unmanned vehicle movement value multiplication auxiliary device and method | |
CN109299863A (en) | BTM appraisal of equipment system | |
CN115600381A (en) | Emergency plan evaluation method and system for train faults |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |