CN111523797A - Rail transit early warning event scheduling method and device, computer equipment and storage medium - Google Patents

Rail transit early warning event scheduling method and device, computer equipment and storage medium Download PDF

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Publication number
CN111523797A
CN111523797A CN202010317884.9A CN202010317884A CN111523797A CN 111523797 A CN111523797 A CN 111523797A CN 202010317884 A CN202010317884 A CN 202010317884A CN 111523797 A CN111523797 A CN 111523797A
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China
Prior art keywords
scheduling
early warning
duty
event
warning information
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CN202010317884.9A
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Chinese (zh)
Inventor
黄钰群
沈晨思
彭贤斌
欧阳胜权
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Shenzhen Zhongke Huizhao Technology Co ltd
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Shenzhen Zhongke Huizhao Technology Co ltd
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    • 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
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G06Q50/40—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625—License plates

Abstract

The invention relates to a method, a device, computer equipment and a storage medium for scheduling rail transit early warning events, wherein the method comprises the steps of monitoring and acquiring early warning information; calling a scheduling plan associated with the early warning information according to the acquired early warning information; analyzing the early warning information to obtain event position data, and analyzing the scheduling plan to obtain scheduling data; positioning and searching the available duty equipment and duty personnel according to the event position data; and issuing the scheduling data to the corresponding on-duty equipment and the corresponding on-duty personnel so as to enable the on-duty equipment and the on-duty personnel to enter a scheduling state. According to the method and the device, the pre-stored scheduling plan is called according to the acquired early warning information, the enclosure is generated by taking the occurrence position as the center, the corresponding three-dimensional map is generated, and the personnel/equipment are displayed on the map, so that the intuitive personnel/equipment scheduling can be carried out on the basis of the three-dimensional map, the rapid emergency scheduling is realized, the reaction capability when the early warning event occurs is improved, and the stable operation of the rail transit station is ensured.

Description

Rail transit early warning event scheduling method and device, computer equipment and storage medium
Technical Field
The invention relates to rail transit early warning, in particular to a method and a device for scheduling rail transit early warning events, computer equipment and a storage medium.
Background
Rail transit refers to a type of vehicle or transportation system in which operating vehicles need to travel on a particular rail. The most typical rail transit is a railway system consisting of conventional trains and standard railways. Common rail transit such as subway, most all set up the district by bus in the underground, because underground area space is complicated, when taking place emergency, be difficult to regulate and control, appear chaotic easily, influence rail transit's normal operation.
Meanwhile, the existing track information construction is based on a two-dimensional PGIS electronic map, and the problems are as follows: the two-dimensional electronic map maps three-dimensional space information into two-dimensional plane information, cannot provide three-dimensional stereo data, is a system based on abstract symbols essentially, has great limitation on three-dimensional positioning and information display intuition for a rail transit station with a multi-story building and a complex internal functional layout, and cannot give real world three-dimensional real feeling to people.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a track traffic early warning event scheduling method, a track traffic early warning event scheduling device, computer equipment and a storage medium.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a track traffic early warning event scheduling method, which includes the following steps:
monitoring and acquiring early warning information;
calling a scheduling plan associated with the early warning information according to the acquired early warning information;
analyzing the early warning information to obtain event position data, and analyzing the scheduling plan to obtain scheduling data;
positioning and searching the available duty equipment and duty personnel according to the event position data;
and issuing the scheduling data to the corresponding on-duty equipment and the corresponding on-duty personnel so as to enable the on-duty equipment and the on-duty personnel to enter a scheduling state.
In a second aspect, the present invention provides a track traffic early warning event scheduling device, including:
the monitoring acquisition unit is used for monitoring and acquiring early warning information;
the plan calling unit is used for calling a scheduling plan related to the early warning information according to the acquired early warning information;
the information analysis unit is used for analyzing the early warning information to obtain event position data and analyzing the scheduling plan to obtain scheduling data;
the positioning searching unit is used for positioning and searching the available duty equipment and duty personnel according to the event position data;
and the duty scheduling unit is used for issuing the scheduling data to the corresponding duty equipment and duty personnel so as to enable the duty equipment and the duty personnel to enter a scheduling state.
In a third aspect, the present invention provides a computer device, where the computer device includes a memory and a processor, where the memory stores a computer program, and the processor implements the method for scheduling a track traffic early warning event when executing the computer program.
In a fourth aspect, the present invention provides a storage medium storing a computer program, which when executed by a processor can implement the method for scheduling a track traffic warning event as described above.
Compared with the prior art, the invention has the beneficial effects that: according to the method and the device, the pre-stored scheduling plan is called according to the acquired early warning information, the event occurrence position is located according to the early warning information, the enclosure is generated by taking the event occurrence position as the center, the corresponding three-dimensional map is generated according to the size of the enclosure, and the on-duty equipment and the on-duty personnel are directly displayed on the three-dimensional map, so that the intuitive personnel/equipment movement can be carried out on the basis of the three-dimensional map, the rapid emergency scheduling is realized under the complex and changeable environment of the rail transit station, the reaction capability when the early warning event occurs is improved, and the stable operation of the rail transit station is ensured.
The invention is further described below with reference to the accompanying drawings and specific embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of an application scenario of a track traffic early warning event scheduling method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a track traffic early warning event scheduling method according to an embodiment of the present invention;
fig. 3 is a schematic sub-flow diagram of a track traffic early warning event scheduling method according to an embodiment of the present invention;
fig. 4 is a schematic sub-flow chart of a track traffic early warning event scheduling method according to an embodiment of the present invention;
fig. 5 is a schematic flowchart of a track traffic early warning event scheduling method according to another embodiment of the present invention;
fig. 6 is a schematic block diagram of a track traffic early warning event scheduling device according to an embodiment of the present invention;
fig. 7 is a schematic block diagram of a monitoring obtaining unit of a track traffic early warning event scheduling device according to an embodiment of the present invention;
fig. 8 is a schematic block diagram of a duty scheduling unit of a track traffic early warning event scheduling device according to an embodiment of the present invention;
fig. 9 is a schematic block diagram of a track traffic early warning event scheduling device according to another embodiment of the present invention;
FIG. 10 is a schematic block diagram of a computer device provided by an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic view of an application scenario of a track traffic early warning event scheduling method according to an embodiment of the present invention. Fig. 2 is a schematic flowchart of a track traffic early warning event scheduling method according to an embodiment of the present invention. The track traffic early warning event scheduling method is applied to a server, the server and a terminal perform data interaction, the terminal monitors and obtains early warning information, the server obtains the early warning information reported by the terminal, then calls a scheduling plan associated with the early warning information according to the obtained early warning information, generates a three-dimensional map of an enclosure based on the early warning information, and finally performs rapid personnel and equipment scheduling based on the scheduling plan and the three-dimensional map.
Fig. 2 is a schematic flow chart of a track traffic early warning event scheduling method according to an embodiment of the present invention. As shown in fig. 2, the method includes the following steps S110 to S160.
And S110, monitoring and acquiring early warning information.
In this embodiment, under normal conditions, a plurality of cameras are arranged in main channels and waiting areas in the rail transit station, and real-time monitoring of a target area of the rail transit station can be achieved through the cameras. For example, a camera can be arranged at the entrance or the exit, a face image of all passengers entering or exiting is obtained through the camera, when the obtained face image is matched with the face image of the person escaping from the public security department, corresponding early warning information is triggered, the camera reports the early warning information in a wired transmission or wireless transmission mode, and the console or the server side obtains the early warning information and enters an early warning mode.
Referring to FIG. 3, in one embodiment, step S110 includes steps S111-S113.
And S111, monitoring a real-time image of the target monitoring area through a camera.
In this embodiment, under normal conditions, a plurality of cameras are arranged in main channels and waiting areas in the rail transit station, and real-time monitoring of a target area of the rail transit station can be achieved through the cameras. The real-time image can be a passenger face image, an image of a current monitoring area, a passing license plate image and the like.
And S112, matching the real-time image with an abnormal image prestored in an abnormal database to obtain a matching result.
In this embodiment, an exception database is preset in the server, a plurality of exception images of different types are stored in the exception database, each type of exception image corresponds to one type of early warning information, and each type of early warning information is associated with one scheduling plan. The acquired real-time image and the abnormal image are compared and matched, and when the matching degree exceeds a set value, the real-time image is judged to be matched with the abnormal image of the type, and corresponding early warning information is triggered.
Specifically, step S112 includes step S1121.
And S1121, matching the real-time image with an abnormal face image prestored in an abnormal database.
The abnormal face image can come from the anti-terrorism department of the ministry of public security, the tracking of abnormal personnel can be realized by matching the real-time image with the abnormal face image, and corresponding early warning information is sent out when the abnormal personnel appear in the rail transit station.
Specifically, step S112 includes step S1122.
And S1122, matching the real-time image with the abnormal license plate image prestored in the abnormal database.
The system comprises a plurality of cameras, a plurality of cameras and a plurality of cameras, wherein part of the cameras are arranged at an entrance and an exit of a rail transit station and are close to a roadside at the same time, and real-time images of license plates of passing vehicles or parked vehicles can be acquired. The abnormal license plate image can be from a database of a vehicle management station, the tracking of the abnormal vehicle can be realized by matching the real-time image with the abnormal license plate image, and corresponding early warning information is sent when the abnormal vehicle appears near a rail transit station.
Specifically, step S112 includes step S1123.
And S1123, matching the real-time image with an abnormal object image prestored in an abnormal database.
The abnormal object can be dangerous goods such as a cutter, a gun, a flame thrower and the like, the tracking of the abnormal object can be realized by matching the real-time image with the image of the abnormal object, and corresponding early warning information is sent out when the abnormal object appears at a rail transit station.
Specifically, step S112 includes step S1124.
And S1124, matching the real-time image with an abnormal state image prestored in an abnormal database.
The abnormal state can be an image in an abnormal state such as fire, water leakage of a spray pipe and the like, and the abnormal state monitoring of the target monitoring area can be realized by matching the real-time image with the abnormal state image.
Step S112 may include at least one of steps S1121 through S1124, and in one embodiment, step S112 includes all of steps S1121 through S1124.
And S113, acquiring corresponding early warning information according to the matching result.
In this embodiment, the obtained real-time image and the abnormal image are compared and matched, when the matching degree exceeds a set value, it is determined that the real-time image matches the abnormal image of the type, the matching result is that the matching is successful, and corresponding early warning information can be triggered, and different early warning information includes corresponding event type data, such as an event of escaping from a person, an abnormal license plate event, an abnormal object event or an abnormal state event, and meanwhile, based on a camera which obtains the real-time image, event position data can be added to the early warning information. Specifically, the warning information includes event location data and event type data.
And S120, calling a scheduling plan associated with the early warning information according to the acquired early warning information.
In this embodiment, different scheduling plans are prestored in the server according to different pieces of early warning information, each piece of early warning information is associated with one scheduling plan, after the early warning information is obtained, the corresponding associated scheduling plan can be directly called from the server according to the type of the early warning information, and the scheduling plan includes corresponding scheduling data.
And S130, analyzing the early warning information to obtain event position data, and analyzing the scheduling plan to obtain scheduling data.
In this embodiment, the early warning information includes event location data, and the scheduling plan includes corresponding scheduling data, and the event location data and the scheduling data can be obtained by analyzing the early warning information and the scheduling plan.
And S140, positioning the event occurrence position according to the event position data, and generating a surrounding ring by taking the event occurrence position as a center.
In this embodiment, the event location data is the actual occurrence location information of the early warning event, the actual occurrence location of the early warning event can be directly located through the event location data, and an enclosure is formed by taking the location as the center, the size of the enclosure can be correspondingly set according to the type and the severity of the early warning information, and the enclosure can be in a partial area of a rail transit station, can also be a whole rail transit station, and can also be a larger area by taking the rail transit station as the center.
And S150, generating a corresponding three-dimensional map according to the size of the enclosure, and displaying the positions of the on-duty equipment and the on-duty personnel on the three-dimensional map.
In this embodiment, after the event center is determined according to the event location data, map resources in the server are called to generate a corresponding three-dimensional map, map structures with different dimensions are displayed on the three-dimensional map, and the positions of corresponding on-duty equipment and on-duty personnel are marked by relatively obvious icons or colors, so that a regulation and control instruction is rapidly issued to the on-duty equipment and the on-duty personnel, and rapid regulation and control of the resources are realized.
And S160, transmitting the scheduling data to the corresponding on-duty equipment and the corresponding on-duty personnel so as to enable the on-duty equipment and the corresponding on-duty personnel to enter a scheduling state.
In this embodiment, the scheduling plan includes scheduling data, and the scheduling data includes measures for responding to the early warning information, including measures set for the on-duty device and measures set for the on-duty personnel.
Referring to fig. 4, in an embodiment, step S160 includes steps S161 and S162.
And S161, issuing the scheduling data to corresponding duty personnel, and informing the duty personnel to execute corresponding scheduling measures at the target position.
In this embodiment, when the scheduling data is issued to the on-duty personnel, the scheduling may be performed in a plurality of manners such as wired telephone, wireless cluster, short message, terminal, etc., the scheduling content includes voice, text, picture, etc., and the terminal of the on-duty personnel may feed back whether the scheduling information is received.
And S162, issuing the scheduling data to the corresponding on-duty equipment, and controlling the corresponding on-duty equipment to be started or closed.
In this embodiment, the duty device includes a camera, an entrance/exit gate, a broadcast, and the like. Dispatching data (instructions) are issued to the corresponding duty devices, and the corresponding duty devices can be controlled to be started or closed, for example, the designated entrance/exit gate is controlled to be normally opened to dredge passengers, the designated entrance/exit gate is controlled to be normally closed to enclose the target area, and the like.
According to the method and the device, the pre-stored scheduling plan is called according to the acquired early warning information, the event occurrence position is located according to the early warning information, the enclosure is generated by taking the event occurrence position as the center, the corresponding three-dimensional map is generated according to the size of the enclosure, and the on-duty equipment and the on-duty personnel are directly displayed on the three-dimensional map, so that the intuitive personnel/equipment movement can be carried out on the basis of the three-dimensional map, the rapid emergency scheduling is realized under the complex and changeable environment of the rail transit station, the reaction capability when the early warning event occurs is improved, and the stable operation of the rail transit station is ensured.
Fig. 5 is a flowchart illustrating a method for scheduling a track traffic warning event according to another embodiment of the present invention. As shown in fig. 5, the method for scheduling a rail transit early warning event of the present embodiment includes steps S210 to S270. Steps S220 to S270 are similar to steps S110 to S160 in the above embodiments, and are not described herein again. The added step S210 in the present embodiment is explained in detail below.
S210, a plurality of scheduling plans are established in advance, and the scheduling plans are associated with early warning information.
In this embodiment, different scheduling plans are pre-established and stored in the server according to different pieces of early warning information, each piece of early warning information is associated with one scheduling plan, after the early warning information is obtained, the corresponding associated scheduling plan can be directly called from the server according to the type of the early warning information, and the scheduling plan includes corresponding scheduling data.
Fig. 6 is a schematic block diagram of a track traffic early warning event scheduling device according to an embodiment of the present invention. As shown in fig. 6, the present invention further provides a track traffic early warning event scheduling device corresponding to the above track traffic early warning event scheduling method. The rail transit early warning event scheduling device comprises a unit for executing the rail transit early warning event scheduling method, and can be configured in a desktop computer, a tablet computer, a portable computer and other terminals. Specifically, referring to fig. 6, the track traffic early warning event scheduling device includes a monitoring obtaining unit 10, a plan calling unit 20, an information analyzing unit 30, a central positioning unit 40, a three-dimensional display unit 50, and a duty scheduling unit 60.
And the monitoring acquisition unit 10 is used for monitoring and acquiring the early warning information.
In this embodiment, under normal conditions, a plurality of cameras are arranged in main channels and waiting areas in the rail transit station, and real-time monitoring of a target area of the rail transit station can be achieved through the cameras. For example, a camera can be arranged at the entrance or the exit, a face image of all passengers entering or exiting is obtained through the camera, when the obtained face image is matched with the face image of the person escaping from the public security department, corresponding early warning information is triggered, the camera reports the early warning information in a wired transmission or wireless transmission mode, and the console or the server side obtains the early warning information and enters an early warning mode.
Referring to fig. 7, in one embodiment, the monitoring acquisition unit 10 includes a monitoring module 11, a matching module 12, and an acquisition module 13.
And the monitoring module 11 is used for monitoring a real-time image of the target monitoring area through a camera.
In this embodiment, under normal conditions, a plurality of cameras are arranged in main channels and waiting areas in the rail transit station, and real-time monitoring of a target area of the rail transit station can be achieved through the cameras. The real-time image can be a passenger face image, an image of a current monitoring area, a passing license plate image and the like.
And the matching module 12 is configured to match the real-time image with an abnormal image pre-stored in an abnormal database to obtain a matching result.
In this embodiment, an exception database is preset in the server, a plurality of exception images of different types are stored in the exception database, each type of exception image corresponds to one type of early warning information, and each type of early warning information is associated with one scheduling plan. The acquired real-time image and the abnormal image are compared and matched, and when the matching degree exceeds a set value, the real-time image is judged to be matched with the abnormal image of the type, and corresponding early warning information is triggered.
In this embodiment, the matching module 12 may be configured to: matching the real-time image with an abnormal face image prestored in an abnormal database; matching the real-time image with an abnormal license plate image prestored in an abnormal database; matching the real-time image with an abnormal object image prestored in an abnormal database; and matching the real-time image with an abnormal state image prestored in an abnormal database.
The abnormal face image can come from the anti-terrorism department of the ministry of public security, the tracking of abnormal personnel can be realized by matching the real-time image with the abnormal face image, and corresponding early warning information is sent out when the abnormal personnel appear in the rail transit station.
The system comprises a plurality of cameras, a plurality of cameras and a plurality of cameras, wherein part of the cameras are arranged at an entrance and an exit of a rail transit station and are close to a roadside at the same time, and real-time images of license plates of passing vehicles or parked vehicles can be acquired. The abnormal license plate image can be from a database of a vehicle management station, the tracking of the abnormal vehicle can be realized by matching the real-time image with the abnormal license plate image, and corresponding early warning information is sent when the abnormal vehicle appears near a rail transit station.
The abnormal object can be dangerous goods such as a cutter, a gun, a flame thrower and the like, the tracking of the abnormal object can be realized by matching the real-time image with the image of the abnormal object, and corresponding early warning information is sent out when the abnormal object appears at a rail transit station.
The abnormal state can be an image in an abnormal state such as fire, water leakage of a spray pipe and the like, and the abnormal state monitoring of the target monitoring area can be realized by matching the real-time image with the abnormal state image.
And the acquisition module 13 is configured to acquire corresponding early warning information according to the matching result, where the early warning information includes event location data and event type data.
In this embodiment, the obtained real-time image and the abnormal image are compared and matched, when the matching degree exceeds a set value, it is determined that the real-time image matches the abnormal image of the type, the matching result is that the matching is successful, and corresponding early warning information can be triggered, and different early warning information includes corresponding event type data, such as an event of escaping from a person, an abnormal license plate event, an abnormal object event or an abnormal state event, and meanwhile, based on a camera which obtains the real-time image, event position data can be added to the early warning information. Specifically, the warning information includes event location data and event type data.
And the plan calling unit 20 is configured to call a scheduling plan associated with the early warning information according to the acquired early warning information.
In this embodiment, different scheduling plans are prestored in the server according to different pieces of early warning information, each piece of early warning information is associated with one scheduling plan, after the early warning information is obtained, the corresponding associated scheduling plan can be directly called from the server according to the type of the early warning information, and the scheduling plan includes corresponding scheduling data.
And the information analysis unit 30 is used for analyzing the early warning information to obtain event position data and analyzing the scheduling plan to obtain scheduling data.
In this embodiment, the early warning information includes event location data, and the scheduling plan includes corresponding scheduling data, and the event location data and the scheduling data can be obtained by analyzing the early warning information and the scheduling plan.
And the central positioning unit 40 is used for positioning to the event occurrence position according to the event position data and generating a surrounding ring by taking the event occurrence position as the center.
In this embodiment, the event location data is the actual occurrence location information of the early warning event, the actual occurrence location of the early warning event can be directly located through the event location data, and an enclosure is formed by taking the location as the center, the size of the enclosure can be correspondingly set according to the type and the severity of the early warning information, and the enclosure can be in a partial area of a rail transit station, can also be a whole rail transit station, and can also be a larger area by taking the rail transit station as the center.
And the three-dimensional display unit 50 is used for generating a corresponding three-dimensional map according to the size of the enclosure, and displaying the positions of the duty equipment and the duty personnel on the three-dimensional map.
In this embodiment, after the event center is determined according to the event location data, map resources in the server are called to generate a corresponding three-dimensional map, map structures with different dimensions are displayed on the three-dimensional map, and the positions of corresponding on-duty equipment and on-duty personnel are marked by relatively obvious icons or colors, so that a regulation and control instruction is rapidly issued to the on-duty equipment and the on-duty personnel, and rapid regulation and control of the resources are realized.
And the duty scheduling unit 60 is configured to issue the scheduling data to the corresponding duty device and duty personnel, so that the duty device and the duty personnel enter a scheduling state.
In this embodiment, the scheduling plan includes scheduling data, and the scheduling data includes measures for responding to the early warning information, including measures set for the on-duty device and measures set for the on-duty personnel.
Referring to FIG. 8, in one embodiment, the duty scheduling unit 60 includes a first scheduling module 61 and a second scheduling module 62.
And the first scheduling module 61 is configured to issue the scheduling data to the corresponding staff member, and notify the staff member to execute the corresponding scheduling measure at the target position.
In this embodiment, when the scheduling data is issued to the on-duty personnel, the scheduling may be performed in a plurality of manners such as wired telephone, wireless cluster, short message, terminal, etc., the scheduling content includes voice, text, picture, etc., and the terminal of the on-duty personnel may feed back whether the scheduling information is received.
And the second scheduling module 62 is configured to issue the scheduling data to the corresponding on-duty device, and control the corresponding on-duty device to start or close, where the on-duty device includes a camera, an access gate and a broadcast.
In this embodiment, the duty device includes a camera, an entrance/exit gate, a broadcast, and the like. Dispatching data (instructions) are issued to the corresponding duty devices, and the corresponding duty devices can be controlled to be started or closed, for example, the designated entrance/exit gate is controlled to be normally opened to dredge passengers, the designated entrance/exit gate is controlled to be normally closed to enclose the target area, and the like.
According to the method and the device, the pre-stored scheduling plan is called according to the acquired early warning information, the event occurrence position is located according to the early warning information, the enclosure is generated by taking the event occurrence position as the center, the corresponding three-dimensional map is generated according to the size of the enclosure, and the on-duty equipment and the on-duty personnel are directly displayed on the three-dimensional map, so that the intuitive personnel/equipment movement can be carried out on the basis of the three-dimensional map, the rapid emergency scheduling is realized under the complex and changeable environment of the rail transit station, the reaction capability when the early warning event occurs is improved, and the stable operation of the rail transit station is ensured.
Fig. 9 is a schematic block diagram of a track traffic early warning event scheduling device according to another embodiment of the present invention. As shown in fig. 9, the track traffic warning event scheduling apparatus of the present embodiment is added with a pre-established association unit 70 on the basis of the above-mentioned embodiment.
A pre-establishing association unit 70, configured to establish a plurality of scheduling plans in advance, and associate the scheduling plans with the early warning information.
In this embodiment, different scheduling plans are pre-established and stored in the server according to different pieces of early warning information, each piece of early warning information is associated with one scheduling plan, after the early warning information is obtained, the corresponding associated scheduling plan can be directly called from the server according to the type of the early warning information, and the scheduling plan includes corresponding scheduling data.
It should be noted that, as can be clearly understood by those skilled in the art, the specific implementation processes of the track traffic early warning event scheduling device and each unit may refer to the corresponding descriptions in the foregoing method embodiments, and for convenience and conciseness of description, no further description is provided herein.
Referring to fig. 10, fig. 10 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 may be a terminal or a server, where the terminal may be an electronic device with a communication function, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, and a wearable device. The server may be an independent server or a server cluster composed of a plurality of servers.
Referring to fig. 10, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer programs 5032 include program instructions that, when executed, cause the processor 502 to perform a rail transit early warning event scheduling method.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 can execute a method for scheduling a track traffic warning event.
The network interface 505 is used for network communication with other devices. Those skilled in the art will appreciate that the configuration shown in fig. 10 is a block diagram of only a portion of the configuration relevant to the present teachings and is not intended to limit the computing device 500 to which the present teachings may be applied, and that a particular computing device 500 may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
Wherein the processor 502 is adapted to run a computer program 5032 stored in the memory.
It should be understood that, in the embodiment of the present Application, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be understood by those skilled in the art that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program instructing associated hardware. The computer program includes program instructions, and the computer program may be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer-readable storage medium.
The storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, which can store various computer readable storage media.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. 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.
In the embodiments provided in the present invention, 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. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, various elements or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be merged, divided and deleted according to actual needs. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A rail transit early warning event scheduling method is characterized by comprising the following steps:
monitoring and acquiring early warning information;
calling a scheduling plan associated with the early warning information according to the acquired early warning information;
analyzing the early warning information to obtain event position data, and analyzing the scheduling plan to obtain scheduling data;
positioning the event occurrence position according to the event position data, and generating an enclosure by taking the event occurrence position as a center;
generating a corresponding three-dimensional map according to the size of the enclosure, and displaying the positions of the on-duty equipment and the on-duty personnel on the three-dimensional map;
and issuing the scheduling data to the corresponding on-duty equipment and the corresponding on-duty personnel so as to enable the on-duty equipment and the on-duty personnel to enter a scheduling state.
2. The rail transit early warning event scheduling method of claim 1, wherein the step of monitoring and acquiring early warning information comprises:
monitoring a real-time image of a target monitoring area through a camera;
matching the real-time image with an abnormal image prestored in an abnormal database to obtain a matching result;
and acquiring corresponding early warning information according to the matching result, wherein the early warning information comprises event position data and event type data.
3. The rail transit early warning event scheduling method of claim 2, wherein the step of matching the real-time image with the abnormal image pre-stored in the abnormal database to obtain a matching result comprises:
matching the real-time image with an abnormal face image prestored in an abnormal database;
matching the real-time image with an abnormal license plate image prestored in an abnormal database;
matching the real-time image with an abnormal object image prestored in an abnormal database;
and matching the real-time image with an abnormal state image prestored in an abnormal database.
4. The rail transit early warning event scheduling method of claim 1, wherein the step of monitoring and acquiring early warning information is preceded by the steps of,
and a plurality of scheduling plans are established in advance, and the scheduling plans are associated with the early warning information.
5. The rail transit early warning event scheduling method of claim 1, wherein the step of issuing the scheduling data to the corresponding on-duty device and the corresponding on-duty personnel so that the on-duty device and the on-duty personnel enter a scheduling state comprises:
the scheduling data is issued to corresponding staff members, and the staff members are informed to execute corresponding scheduling measures at the target positions;
and issuing the scheduling data to the corresponding on-duty equipment, and controlling the corresponding on-duty equipment to start or close, wherein the on-duty equipment comprises a camera, an entrance and exit gate and a broadcast.
6. The utility model provides a track traffic early warning incident scheduling device which characterized in that includes:
the monitoring acquisition unit is used for monitoring and acquiring early warning information;
the plan calling unit is used for calling a scheduling plan related to the early warning information according to the acquired early warning information;
the information analysis unit is used for analyzing the early warning information to obtain event position data and analyzing the scheduling plan to obtain scheduling data;
the central positioning unit is used for positioning the event occurrence position according to the event position data and generating an enclosure by taking the event occurrence position as a center;
the three-dimensional display unit is used for generating a corresponding three-dimensional map according to the size of the enclosure and displaying the positions of the on-duty equipment and the on-duty personnel on the three-dimensional map;
and the duty scheduling unit is used for issuing the scheduling data to the corresponding duty equipment and duty personnel so as to enable the duty equipment and the duty personnel to enter a scheduling state.
7. The rail transit early warning event scheduling device of claim 6, wherein the monitoring acquisition unit comprises a monitoring module, a matching module and an acquisition module;
the monitoring module is used for monitoring a real-time image of a target monitoring area through a camera;
the matching module is used for matching the real-time image with an abnormal image prestored in an abnormal database to obtain a matching result;
the acquisition module is used for acquiring corresponding early warning information according to the matching result, and the early warning information comprises event position data and event type data.
8. The rail transit early warning event scheduling device of claim 6, wherein the duty scheduling unit comprises a first scheduling module and a second scheduling module;
the first scheduling module is used for issuing the scheduling data to corresponding staff members and informing the staff members to execute corresponding scheduling measures at the target positions;
and the second scheduling module is used for issuing scheduling data to the corresponding duty equipment and controlling the corresponding duty equipment to be started or closed, and the duty equipment comprises a camera, a gate entering and exiting machine and a broadcast.
9. A computer device, characterized in that the computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the rail transit early warning event scheduling method according to any one of claims 1 to 5 when executing the computer program.
10. A storage medium storing a computer program, wherein the computer program is capable of implementing the track traffic warning event scheduling method according to any one of claims 1 to 5 when the computer program is executed by a processor.
CN202010317884.9A 2020-04-21 2020-04-21 Rail transit early warning event scheduling method and device, computer equipment and storage medium Pending CN111523797A (en)

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