CN116620366A - Linkage method, device and system of vehicle - Google Patents
Linkage method, device and system of vehicle Download PDFInfo
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- CN116620366A CN116620366A CN202310903735.4A CN202310903735A CN116620366A CN 116620366 A CN116620366 A CN 116620366A CN 202310903735 A CN202310903735 A CN 202310903735A CN 116620366 A CN116620366 A CN 116620366A
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/30—Trackside multiple control systems, e.g. switch-over between different systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/40—Handling position reports or trackside vehicle data
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/70—Details of trackside communication
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The application discloses a linkage method, a device and a system of a vehicle. Wherein, this system includes: center cloud server, wireless access device, a plurality of on-vehicle equipment, a plurality of intelligent edge control all-in-one and a plurality of terminal equipment: a cloud edge cooperative framework is formed between the intelligent edge control integrated machine and the central cloud server, and edge cooperative frameworks are formed among different intelligent edge control integrated machines, so that a real-time data sharing function across professions is realized, and messages sent by the central cloud server or the intelligent edge control integrated machine can be received by other devices; the intelligent edge control integrated machine operates the station reporting service according to the indication of the central cloud server under normal conditions; and under the condition of abnormality, the intelligent edge control integrated machine utilizes the real-time data sharing function and the historical data to operate the station reporting service. The application solves the technical problem that the station reporting system is easy to fail in the related technology.
Description
Technical Field
The application relates to the technical field of transportation means, in particular to a linkage method, a device and a system of a vehicle.
Background
With the popularization of subways, the new mode of low-traffic rail traffic becomes a development trend, and in a comprehensive dispatching system in the low-traffic field, a stable and reliable automatic station reporting system or module plays a very important role in normal operation of a line, has an intelligent level and capability of coping with abnormal conditions, and has very important significance in enhancing riding experience of platform passengers.
In the related art, the station reporting function is realized mainly based on the vehicle-mounted GPS/BD positioning data or kilometer sign data matching with the position information of the line station. However, due to the influence of the environment, the network and the like, when the communication of the vehicle-mounted equipment is abnormal, the related positioning data cannot be acquired, so that the normal execution of the station reporting function of the station is influenced. In addition, in terms of system architecture, the PIS/PA terminal equipment at the platform side directly interacts with the center, and when the platform and the center network are abnormal or the center station reporting linkage service fails, station reporting service at the platform side is affected.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the application provides a linkage method, a device and a system of a vehicle, which are used for at least solving the technical problem that a station reporting system is easy to fail in the related art.
According to an aspect of an embodiment of the present application, there is provided a linkage system of a vehicle, including: center cloud server, wireless access device, a plurality of on-vehicle equipment, a plurality of intelligent edge control all-in-one and a plurality of terminal equipment: the intelligent edge control integrated machine is connected with the central cloud server through a three-layer annular redundant network, and the terminal equipment is connected with the intelligent edge control integrated machine; a cloud edge cooperative framework is formed between the intelligent edge control all-in-one machine and the central cloud server, a cloud edge cooperative framework is formed between different intelligent edge control all-in-one machines, the cloud edge cooperative framework and the edge cooperative framework are used for providing a cross-professional real-time data sharing function for the intelligent edge control all-in-one machine, the central cloud server sends information, each intelligent edge control all-in-one machine can receive information sent by any intelligent edge control all-in-one machine, and other edge control all-in-one machines and the central cloud server can receive information; the intelligent edge control integrated machine operates the station reporting service according to the indication of the central cloud server under normal conditions; and under the condition of abnormality, the intelligent edge control integrated machine utilizes the real-time data sharing function and the historical data to operate the station reporting service.
Optionally, under normal conditions, the intelligent edge control integrated machine operates the station reporting service according to the indication of the central cloud server, including: under the condition that the central cloud server determines that the position of a target vehicle is in a forecast station range according to interaction with vehicle-mounted equipment, the central cloud server matches schedule data through the vehicle number of the target vehicle, so that the front arrival condition is identified, a corresponding forecast station execution instruction is sent to a forecast station linkage processing center of an intelligent edge control integrated machine at the edge side, the forecast station linkage processing center of the intelligent edge control integrated machine sends a corresponding control instruction to terminal equipment of a station where the intelligent edge control integrated machine is located, after the terminal equipment is executed, the intelligent edge control integrated machine updates forecast station execution records of the station where the intelligent edge control integrated machine is located, and synchronizes the forecast station execution records to the central cloud server and other edge control integrated machines, wherein the front arrival condition comprises normal shift arrival, shift jump stop and shift travel stop; under the condition that the central cloud server determines that the position of the target vehicle is in the stop reporting range according to interaction with the vehicle-mounted equipment, the central cloud server is matched with schedule data through the vehicle number of the target vehicle, so that the front stop-arriving condition is identified, a corresponding stop reporting execution instruction is sent to a stop reporting linkage processing center of the intelligent edge control integrated machine at the edge side, the stop reporting linkage processing center of the intelligent edge control integrated machine sends a corresponding control instruction to terminal equipment of a station where the intelligent edge control integrated machine is located, after the terminal equipment is executed, the intelligent edge control integrated machine updates the stop reporting execution record of the station where the intelligent edge control integrated machine is located, and the stop reporting execution record is synchronized to the central cloud server and other edge control integrated machines.
Optionally, before the intelligent edge control integrated machine operates the stop reporting service according to the indication of the central cloud server, under the condition that the central cloud server monitors that the operation state of the vehicle-mounted data service of the vehicle-mounted equipment is normal, the central cloud server acquires basic data of the target vehicle through the vehicle-mounted data service and identifies whether the vehicle communication state in the basic data is normal, wherein the basic data comprises a vehicle GPS, a vehicle number, a vehicle operation direction, a vehicle communication state and a distance between the vehicle and the next station; under the condition that the central cloud server monitors that the running state of the vehicle-mounted data service of the vehicle-mounted equipment is abnormal or the vehicle communication state in basic data is abnormal, the central cloud server determines the forecast station time or the station reporting time of the next station of the shift where the target vehicle is located by combining the departure time of the last station of the shift where the target vehicle is located and the inter-station driving interval.
Optionally, the intelligent edge control integrated machine runs the station reporting service by using the real-time data sharing function and the historical data under the abnormal condition, including: when the position of the target vehicle is in the range of the forecast station, the station reporting linkage processing center of the intelligent edge control integrated machine matches schedule data through the vehicle number of the target vehicle, so that the front station arrival condition is identified, a corresponding control instruction is issued to terminal equipment of the station, after the terminal equipment is executed, the intelligent edge control integrated machine updates the forecast station execution record of the station, and synchronizes the forecast station execution record to a central cloud server and other edge control integrated machines, wherein the front station arrival condition comprises a normal station entering of a shift, a stop jumping of the shift and a continuous stop passing of the shift; when the position of the target vehicle is in the stop reporting range, the stop reporting linkage processing center of the intelligent edge control all-in-one machine is matched with schedule data through the vehicle number of the target vehicle, so that the front stop arrival condition is identified, a corresponding control instruction is issued to terminal equipment of the station, after the terminal equipment is executed, the intelligent edge control all-in-one machine updates the stop reporting execution record of the station, and the stop reporting execution record is synchronized to the center cloud server and other edge control all-in-one machines.
Optionally, before the intelligent edge control integrated machine utilizes the real-time data sharing function and the historical data to run the station reporting service, under the condition that the station reporting linkage processing center of the intelligent edge control integrated machine monitors abnormal station reporting linkage service of the central cloud server, the intelligent edge control integrated machine takes over linkage triggering rights of the station reporting and the station reporting; according to the collection of operating shifts, the station reporting linkage processing center of the intelligent edge control integrated machine combines the departure time of the last station of the shift where the target vehicle is located and the inter-station driving interval to determine the station reporting time or the station reporting time of the next station of the shift where the target vehicle is located; the intelligent edge control integrated machine station reporting linkage processing center determines whether a vehicle enters and exits through interaction with the vehicle door linkage equipment; under the condition that the arrival and departure of the vehicle is determined, the arrival and departure linkage processing center of the intelligent edge control integrated machine updates the arrival and departure record of the station, and synchronizes the arrival and departure record to the center cloud server and other edge control integrated machines; and under the condition that no vehicle enters and exits, the stop reporting linkage processing center of the intelligent edge control integrated machine monitors whether the position of the target vehicle is in a stop reporting range or a stop reporting range.
Optionally, the central cloud server or intelligent edge control all-in-one determines the distance S of the target vehicle from the next station as follows ns : acquiring inter-station travel time T of shift to which target vehicle belongs ED Wherein, the method comprises the steps of, wherein,is the firstThe time of the next traveling time is set,for the total number of times counted,to take a value of 1 toIs a positive integer of (2); according to the travel time T between stations ED Departure time T of last station of target vehicle EL Current time T NL Inter-station distance S TS Predicting the distance S of the target vehicle from the next station ns =S TS (T NL -T EL )/T ED 。
According to another aspect of the embodiment of the present application, there is also provided a linkage method of a vehicle, including: real-time data sharing between the cloud edge collaborative framework formed between the intelligent edge control integrated machine and the central cloud server is kept by utilizing the cloud edge collaborative framework formed between the intelligent edge control integrated machine and the central cloud server, and real-time data sharing between the intelligent edge control integrated machine and other intelligent edge control integrated machines is kept by utilizing the edge collaborative framework formed between the intelligent edge control integrated machine and the central cloud server; and under normal conditions, the station reporting service is operated according to the indication of the central cloud server, and under abnormal conditions, the station reporting service is operated by utilizing real-time data sharing and historical data.
According to another aspect of an embodiment of the present application, there is also provided a linkage of a vehicle including: the sharing unit is used for keeping real-time data sharing with the central cloud server by utilizing a cloud edge collaborative frame formed between the sharing unit and the central cloud server, and keeping real-time data sharing with other intelligent edge control integrated machines by utilizing an edge collaborative frame formed between the sharing unit and other intelligent edge control integrated machines; the linkage unit is used for operating the station reporting service according to the indication of the central cloud server under normal conditions and operating the station reporting service by utilizing real-time data sharing and historical data under abnormal conditions.
According to another aspect of the embodiments of the present application, there is also provided an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the method described above by the computer program.
According to one aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the steps of any of the embodiments of the method described above.
By adopting the technical scheme of the application, the cloud side cooperative architecture is adopted, the architecture advantages are fully exerted, and the unified service processing platform is constructed at the center and the edge side, so that the secondary management of the station reporting service at the station side is realized, and the station reporting service has the capability of degrading service without degrading. And the center and each edge intelligent hardware device construct a unified, exclusive, shared and bidirectional message channel based on the kafka distributed publish-subscribe message system, thereby realizing the transmission of service messages between the center and the edges. The message sent by the center can be received by all edge devices; the messages sent by any edge device can be received by the center and the rest of the edge devices. Therefore, even under the conditions of abnormal central service, service degradation and the like, each edge intelligent hardware device can stand at a global view to independently process the service.
In addition to the objects, features and advantages described above, the present application has other objects, features and advantages. The present application will be described in further detail with reference to the drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
FIG. 1 illustrates a schematic view of an alternative vehicle linkage system according to the present application;
FIG. 2 shows a schematic diagram of an alternative vehicle linked software system according to the present application;
FIG. 3 shows a schematic diagram of an alternative vehicle cooperative system in accordance with the present application;
FIG. 4 is a flow chart illustrating an alternative normal station-reporting service process in accordance with the present application;
FIG. 5 is a flow chart illustrating an alternative abnormal station announcement service process according to the present application;
fig. 6 shows a schematic view of an alternative vehicle linkage system according to the application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the technical scheme of the application, a set of automatic station reporting system and method are provided for the low-traffic field based on a brand new cloud edge end cooperative architecture. The station reporting system fully considers line operation scenes (including positive line operation, shunting charge, interval skip stop, multi-line co-station and the like) and provides multifunctional station reporting service. Meanwhile, the system architecture advantage is fully utilized, the emergency handling capacity of the station reporting system under the conditions of coping with vehicle-mounted communication abnormality (positioning data abnormality), central station reporting linkage service faults and the like is improved, and the robustness of the station reporting system is comprehensively improved.
According to an aspect of the embodiment of the application, an embodiment of a vehicle linkage method is provided, and the vehicle linkage method of the embodiment of the application can be executed by an intelligent edge control all-in-one machine, wherein the intelligent edge control all-in-one machine maintains real-time data sharing with a central cloud server by utilizing a cloud edge collaborative frame formed with the central cloud server, and maintains real-time data sharing with other intelligent edge control all-in-one machines by utilizing an edge collaborative frame formed with other intelligent edge control all-in-one machines; under normal conditions, the intelligent edge control integrated machine operates the station reporting service according to the indication of the central cloud server, and under abnormal conditions, the intelligent edge control integrated machine operates the station reporting service by utilizing real-time data sharing and historical data.
According to another aspect of the embodiment of the present application, an embodiment of a linkage system of a vehicle is provided, and the linkage system of a vehicle of the present application is a vehicle automatic stop reporting scheme suitable for use in low traffic system, public transportation/BRT and other operation scenarios, as shown in fig. 1, where the system includes a central cloud server, a wireless access device, a plurality of vehicle-mounted devices (such as TAU MAC1 and TAU MAC 2), a plurality of intelligent edge control integrated machines, and a plurality of terminal devices (such as vehicle door linkage devices, electronic stop boards and the like).
The wireless access device is connected with the central cloud server after passing through the firewall, the vehicle-mounted device is in wireless connection with the wireless access device, the intelligent edge control integrated machine is connected with the central cloud server after passing through the three-layer annular redundant network and passing through the firewall, according to the self calculation condition, the intelligent edge control integrated machine can realize two modes of single-station deployment and centralized station deployment, and each intelligent edge control integrated machine and terminal equipment in a managed station perform unified interface convergence and device access.
The intelligent edge control all-in-one machine of every station and the central cloud server form a cloud edge cooperative frame, and the intelligent edge control all-in-one machines of different stations form an edge cooperative frame, and the cloud edge cooperative frame and the edge cooperative frame are used for providing a real-time data sharing function crossing professions for the intelligent edge control all-in-one machine, for example: the central cloud server sends messages to the specific intelligent edge control all-in-one machines, all intelligent edge control all-in-one machines can receive the messages, sent to the central cloud server or the specific edge control all-in-one machines, of any intelligent edge control all-in-one machine, and other edge control all-in-one machines and the central cloud server can receive the messages.
The intelligent edge control integrated machine operates the station reporting service according to the indication of the central cloud server under normal conditions, and utilizes the real-time data sharing function and the historical data to operate the station reporting service under abnormal conditions.
Under the condition of abnormality (such as failure of positioning data of vehicle-mounted equipment, failure of a central cloud server and the like), the running speed of a train and the running distance between train stations can be monitored at the edge side, and train departure and arrival broadcasting can be triggered according to preset departure and arrival broadcasting judging conditions. Meanwhile, updating a train inter-station distance training library, and updating the inter-station distance through the inter-station distance training library; the historical report station data of the own station and the adjacent stations can be obtained from a system database as sample data, the iteration factors for predicting the running time of the own station are calculated by the sample data, the center calculates the predicted report station time of the own station according to the iteration factors, and the automatic report station flow is triggered according to the predicted report station time. The corresponding relation exists between the forecast station time and the forecast station range, the vehicle speed can be used for conversion, and similarly, the corresponding relation exists between the forecast station time and the forecast station range.
Aiming at the defects of the related technology or scheme, the application changes the direct interaction of the center-system terminals adopted in the related technology scheme into the center-edge-terminal collaborative architecture by the system architecture innovation, fully exerts the advantages of the cloud edge collaborative architecture, enables the functions of station reporting service and the like of the station side to have the secondary management capability by constructing a uniform service processing platform on the center and edge side, solves the technical problem that the station reporting system is easy to fail in the related technology, avoids the problem that the station side service cannot be normally executed when the center service is abnormal, and further enables the station reporting service to have the capability of degrading the service without degrading, and enables the station side service to have the capability of automatic feedback and intelligent decision making by enabling the station side.
Meanwhile, the application also provides a method for solving the problem that the system can still provide accurate and reliable stop reporting service under the abnormal condition by combining the cross-professional real-time data sharing capability of the cloud-side collaboration/side collaboration framework and the iterative processing based on the inter-stop driving history data under the condition that the vehicle positioning data (such as abnormal communication of vehicle-mounted equipment, abnormal data service and the like) cannot be acquired.
Through the measures, the technical scheme of the application improves the comprehensive emergency handling capacity of the system, ensures normal operation of the line to the greatest extent, and improves the riding experience of platform passengers, thereby improving the robustness of the whole system.
Optionally, under normal conditions, the intelligent edge control integrated machine operates the station reporting service according to the indication of the central cloud server, including: under the condition that the central cloud server determines that the position of a target vehicle is in a forecast station range (such as within 100 meters) according to interaction with vehicle-mounted equipment, the central cloud server matches schedule data through the vehicle number of the target vehicle, so that a front arrival condition is identified, a corresponding forecast station execution instruction is sent to a forecast station linkage processing center of an intelligent edge control integrated machine at the edge side, the forecast station linkage processing center of the intelligent edge control integrated machine sends a corresponding control instruction to terminal equipment of a station where the intelligent edge control integrated machine is located, after the terminal equipment is executed, the intelligent edge control integrated machine updates forecast station execution records of the station where the intelligent edge control integrated machine is located, and synchronizes the forecast station execution records to the central cloud server and other edge control integrated machines, wherein the front arrival condition comprises normal shift arrival, shift jump stop and shift pass through without stopping; under the condition that the central cloud server determines that the position of the target vehicle is in the stop reporting range (such as within 10 meters) according to interaction with the vehicle-mounted equipment, the central cloud server is matched with schedule data through the vehicle number of the target vehicle, so that the front stop-arriving condition is identified, a corresponding stop reporting execution instruction is sent to a stop reporting linkage processing center of the intelligent edge control integrated machine at the edge side, the stop reporting linkage processing center of the intelligent edge control integrated machine sends a corresponding control instruction to terminal equipment of a station where the intelligent edge control integrated machine is located, after the terminal equipment is executed, the intelligent edge control integrated machine updates a stop reporting execution record of the station where the intelligent edge control integrated machine is located, and the stop reporting execution record is synchronized to the central cloud server and other edge control integrated machines.
Optionally, before the intelligent edge control integrated machine operates the stop reporting service according to the indication of the central cloud server, under the condition that the central cloud server monitors that the operation state of the vehicle-mounted data service of the vehicle-mounted equipment is normal, the central cloud server acquires basic data of the target vehicle through the vehicle-mounted data service, and identifies whether the vehicle communication state in the basic data is normal, wherein the basic data comprises a vehicle GPS, a vehicle number, a vehicle operation direction, a vehicle communication state and a distance from the vehicle to the next station; under the condition that the central cloud server monitors that the running state of the vehicle-mounted data service of the vehicle-mounted equipment is abnormal or the vehicle communication state in basic data is abnormal, the central cloud server determines the forecast station time or the station reporting time of the next station of the shift where the target vehicle is located by combining the departure time of the last station of the shift where the target vehicle is located and the inter-station driving interval.
Optionally, the intelligent edge control integrated machine runs the station reporting service by using the real-time data sharing function and the historical data under the abnormal condition, including: when the position of the target vehicle is in the range of the forecast station, the station reporting linkage processing center of the intelligent edge control integrated machine matches schedule data through the vehicle number of the target vehicle, so that the front station arrival condition is identified, a corresponding control instruction is issued to terminal equipment of the station, after the terminal equipment is executed, the intelligent edge control integrated machine updates the forecast station execution record of the station, and synchronizes the forecast station execution record to a central cloud server and other edge control integrated machines, wherein the front station arrival condition comprises a normal station entering of a shift, a stop jumping of the shift and a continuous stop passing of the shift; when the position of the target vehicle is in the stop reporting range, the stop reporting linkage processing center of the intelligent edge control all-in-one machine is matched with schedule data through the vehicle number of the target vehicle, so that the front stop arrival condition is identified, a corresponding control instruction is issued to terminal equipment of the station, after the terminal equipment is executed, the intelligent edge control all-in-one machine updates the stop reporting execution record of the station, and the stop reporting execution record is synchronized to the center cloud server and other edge control all-in-one machines.
Optionally, before the intelligent edge control integrated machine utilizes the real-time data sharing function and the historical data to run the station reporting service, under the condition that the station reporting linkage processing center of the intelligent edge control integrated machine monitors abnormal station reporting linkage service of the central cloud server, the intelligent edge control integrated machine takes over linkage triggering rights of the station reporting and the station reporting; according to the collection of operating shifts, the station reporting linkage processing center of the intelligent edge control integrated machine combines the departure time of the last station of the shift where the target vehicle is located and the inter-station driving interval to determine the station reporting time or the station reporting time of the next station of the shift where the target vehicle is located; the intelligent edge control integrated machine station reporting linkage processing center determines whether a vehicle enters and exits through interaction with the vehicle door linkage equipment; under the condition that the arrival and departure of the vehicle is determined, the arrival and departure linkage processing center of the intelligent edge control integrated machine updates the arrival and departure record of the station, and synchronizes the arrival and departure record to the center cloud server and other edge control integrated machines; and under the condition that no vehicle enters and exits, the stop reporting linkage processing center of the intelligent edge control integrated machine monitors whether the position of the target vehicle is in a stop reporting range or a stop reporting range.
Optionally, the central cloud server or intelligent edge control all-in-one determines the distance S of the target vehicle from the next station as follows ns : acquiring the shift of the target vehicleInter-station travel time T ED Wherein, the method comprises the steps of, wherein,is the firstThe time of the next traveling time is set,for the total number of times counted,to take a value of 1 toIs a positive integer of (2); according to the travel time T between stations ED Departure time T of last station of target vehicle EL Current time T NL Inter-station distance S TS Predicting the distance S of the target vehicle from the next station ns =S TS (T NL -T EL )/T ED 。
The application adopts cloud edge end cooperative architecture, fully exerts the advantages of the architecture, and realizes the secondary management of station reporting service at the station side by constructing a unified service processing platform at the center and the edge side, thereby ensuring that the station reporting service has the capability of degrading service without degrading service. And the center and each edge intelligent hardware device construct a unified, exclusive, shared and bidirectional message channel based on the kafka distributed publish-subscribe message system, thereby realizing the transmission of service messages between the center and the edges. The message sent by the center can be received by all edge devices; the messages sent by any edge device can be received by the center and the rest of the edge devices. Therefore, even under the conditions of abnormal central service, service degradation and the like, each edge intelligent hardware device can stand at a global view to independently process the service. As an alternative embodiment, the following further details the technical solution of the present application in combination with the detailed technical solution:
1) System network structure
The network structure of the system is shown in fig. 1, and the system adopts edge intelligent hardware equipment suitable for a low-traffic edge computing scene to construct an intelligent edge service processing platform on the basis of comprehensively analyzing the platform scale, equipment types and service volume of some low-traffic systems, so that unified monitoring of terminal equipment is realized, and a cloud edge end cooperative structure is formed with a central cloud.
And each station and the center construct a three-layer annular redundant network, so that signals sent by one device can be seen by all other devices on the ring. Different VLANs are divided according to the profession of each station, risks such as network storm and the like are prevented, and data interview among the different VLANs is realized by utilizing the routing function of the three-layer switching module. The network has redundancy capability, and the station can realize bidirectional communication capability with the center. The vehicle-mounted equipment realizes wireless communication and data transmission with the center through an LTE network.
2) System software architecture
As shown in fig. 2, the vehicle-mounted data service module of the system is responsible for carrying out data communication with vehicle-mounted equipment of a vehicle, so as to realize unified acquisition of vehicle data and issuing of a dispatching instruction. The in-vehicle data service may provide data such as "vehicle GPS", "vehicle number", "vehicle running direction", "vehicle communication status", "distance of vehicle from next station", and the like.
The central station reporting linkage service acquires comprehensive positioning information of the vehicle through the vehicle-mounted data service, calculates trigger conditions of station reporting stations according to the geographical position information of the line station, and issues linkage execution instructions to the edge station reporting linkage processing center under the condition that the trigger conditions are met.
And the edge station reporting linkage processing center starts an execution instruction to terminal equipment such as PIS/PA according to the received linkage instruction, and feeds back an execution result to the center station reporting linkage service. In addition, the edge side station reporting linkage processing center can capture the door opening action of the vehicle after entering the station through the vehicle door linkage equipment, so that the accurate time of entering the station and leaving the station of the vehicle is calculated, and the information is synchronously transmitted to the center and other edge intelligent hardware equipment.
3) Cloud edge cooperation/edge cooperation frame
As shown in fig. 3, the center and each edge intelligent hardware device construct a unified, exclusive, shared and bidirectional message channel based on the kafka distributed publish-subscribe message system, so as to realize the transmission of service messages between the center and the edges, and the message content is encrypted by adopting an SM4 algorithm. The message sent by the center can be received by all edge devices; the messages sent by any edge device can be received by the center and the rest of the edge devices. Therefore, even under the conditions of abnormal central service, service degradation and the like, each edge intelligent hardware device can stand at a global view to independently process the service.
Under the framework, a bidirectional communication monitoring mechanism is realized between the center and the edge. The center sends a change message of a line operation schedule, a station reporting linkage execution instruction and the like to each edge intelligent hardware device through the message channel.
An exemplary message format is as follows: { "shift_id": 2101820, "station":2, "target" means 5, "event" means 5, "bypass" means [3,4] }. Message definition and parsing: shift_id: the shift ID is consistent with the central system; station, the station number of the station to be pre-reported; target, terminal station, used for broadcasting "to start to xx train … …"; evnet 1 represents a forecast station, 2 represents a report station, 3 represents delayed departure, and 4 represents passing without stopping; bypass, wherein the station of the current train skip stop is listed, and skip stop information is not broadcasted if the station is empty.
Any edge intelligent hardware device may send station side traffic messages to the center and the remaining edge intelligent hardware devices, such as: vehicle operational events (inbound, outbound), configuration, and software update status, etc.
An exemplary message format is as follows: { "shift_id":2229106356, "car_id": 1207770063, "station": 1, "t": 2022-2-10 16:39:00"," event ":1 }. Message definition and parsing: shift_id: the shift ID, here the non-operating shift, is 0; car_id: vehicle ID, namely realizing vehicle ID information conversion through the vehicle door linkage equipment ID; the station: station ID; t: the time at which the event occurred; event:0 indicates that the vehicle has just been driven, 1 indicates that it is in-station, 2 indicates that it is out of station, and 3 indicates that the complementary vehicle is in shift operation.
4) Station pre-reporting/station reporting judgment condition
As shown in fig. 6, the system is aimed at the low-traffic line operation shifts, and accurately divides the dimensions of lines, traffic running directions (uplink/downlink), time periods, date types (workdays/holidays), inter-station positions and the like, and counts the inter-station running time of each shift in detail(n has a value of 1 to) Based on the continuous accumulation of the same characteristic historical data, the running time among the stations of the shift is continuously optimized according to the dimension through average value processing. For example: the estimated time T for a line to travel in the upstream direction from station E to station D ED The calculation formula is as follows:
T ED ;
under normal conditions, the central station reporting linkage service obtains the 'distance between the vehicle and the next station' S according to the vehicle-mounted data service ns Triggering station side linkage station reporting service. Defaults to the forecast station flow, when S ns When the value is less than 80m, triggering the operation of the forecasting station; for the station reporting process, when S ns And when the number is less than 10m, triggering station reporting operation, wherein the relevant threshold values are configurable.
When abnormal conditions occur (such as vehicle-mounted equipment is out of connection, positioning data is abnormal and the like), the system obtains the accurate departure time T of one station on the shift vehicle EL Current time T NL Distance between stations S TS Basic configuration information, forecast "distance of vehicle from next station" S ns The calculation formula is as follows:
S ns =S TS (T NL -T EL )/T ED ;
at this time, for the forecast station flow, when S ns When the value is less than 80m, triggering the operation of the forecasting station; in the opposite station reporting process, the edge side station reporting linkage processingThe pivot triggers the stop reporting operation by capturing the door opening action of the door linkage.
5) Station reporting flow under central mode
In the central mode, the flow of the station reporting business is as shown in fig. 4:
step S401, the central station reporting linkage service monitors whether the running state of the vehicle-mounted data service is normal, if yes, step S402 is executed, and otherwise, step S404 is executed.
Step S402, the central station reporting linkage service acquires data such as a vehicle GPS, a vehicle number, a vehicle running direction, a vehicle communication state, a distance between a vehicle and the next station and the like through the vehicle-mounted data service.
Step S403, identify whether the vehicle communication status is normal, if so, execute step S405, otherwise execute step S404.
Step S404, the central station reporting linkage service calculates the station reporting/station reporting time of the next station of the shift according to the station leaving time of the last station of the shift and the inter-station driving interval which is trained and analyzed from two dimensions of time period and working day/holiday.
Step S405, judging whether the vehicle is in the range of the forecast station by the distance or the distance prediction from the next station (S ns < 80 m), if yes, step S406 is performed, otherwise step S410 is performed.
Step S406, if the front station has performed the forecast station operation, step S407 is performed, otherwise step S408 is performed.
Step S407, entering a pre-report station/report station circulation processing flow.
Step S408, the center matches the schedule data through the vehicle number, thereby identifying that the front arrival station is a normal shift arrival station, a shift jump stop station, a shift pass no stop and the like, and sending a corresponding forecast station execution instruction to the edge side forecast station linkage processing center.
And S409, the edge side station reporting linkage processing center transmits instructions such as a normal station reporting station, a skip station reporting station, a shunting station reporting station and the like to the terminal equipment. The edge side updates the station forecast station to perform the recording and synchronizes the recording to the center and other edge side devices.
Step S410, byWhether the vehicle is in the stop reporting range or not is judged from the next stop distance or the door opening action (S) ns < 10m Or vehicle door opening action), if yes, step S411 is executed, otherwise step S407 is executed.
Step S411, if the front station has performed the station entering operation, step S407 is performed, otherwise step S412 is performed.
Step S412, the center matches the schedule data through the vehicle number, thereby identifying that the front arrival station is a normal arrival station of a shift, a skip stop station of a shift, a shift pass is not stopped, and the like, and sending a corresponding arrival station report execution instruction to the edge side station report linkage processing center.
And step S413, the edge side station reporting linkage processing center transmits instructions such as station entering and reporting, station jumping and stopping and station switching and reporting and the like to the terminal equipment. The edge side updates the station report execution record and synchronizes the record to the center and other edge side devices.
6) Station reporting flow under degradation mode
In the degradation mode, the flow of the station reporting service processing is as shown in fig. 5:
step S501, the central monitoring center of the edge side station reporting linkage processing monitors whether the station reporting linkage service of the center is normal, if yes, step S509 is executed, and otherwise step S502 is executed.
Step S502, the edge node obtains the reporting station linkage triggering weight, and the edge side reporting station linkage processing center is responsible for predicting the reporting station and the reporting station range.
In step S503, the edge-side station reporting linkage processing center calculates the station reporting/reporting time of the next station of each shift according to the set of operating shifts, combining the last station leaving time of each shift, and the inter-station driving interval from two dimension training analysis of time period and working day/holiday.
Step S504, through interaction with the vehicle door linkage equipment, whether a vehicle enters and exits is judged, if yes, step S505 is executed, and otherwise step S506 is executed.
Step S505, the edge side station reporting linkage processing center records the station entering and exiting data of the shift vehicle and synchronizes the message recording to the center.
Step S506, by distance predictionJudging whether or not it is in the range of the forecasting station (S ns < 80 m), if yes, step S507 is performed, otherwise step S510 is performed.
Step S507, if the front station has performed the forecast station operation, step S509 is performed, otherwise step S508 is performed.
Step S508, the edge station reporting linkage processing center matches the schedule data through the vehicle number, so that the front arrival station is identified as a normal station entering of a shift, a stop skip of the shift, a no-stop passing of a shift and the like, a corresponding station reporting execution instruction is issued to the terminal equipment, the station reporting station execution record is updated, and the record is synchronized to the center and other edge side equipment.
Step S509, a loop processing flow is entered.
Step S510, judging whether the stop range is in the stop range (capturing the vehicle door opening action) through the door opening action, if yes, executing step S511, otherwise executing step S509.
Step S511, if the front station has performed the station entering operation, step S509 is performed, otherwise step S512 is performed.
Step S512, the edge side station reporting linkage processing center matches the schedule data through the vehicle number, so that the front arrival station is identified as a normal station entering of a shift, a stop skip of the shift, a no-stop shift of a shift pass and the like, a corresponding station entering station reporting execution instruction is issued to the terminal equipment, the station reporting execution record is updated, and the record is synchronized to the center and other edge side equipment.
According to the technical scheme, a whole set of station reporting system based on a cloud edge end cooperative framework is provided, and the station reporting function has secondary management capability through unified platform design of the center and the edge side, so that degradation service can be realized; by combining the cross-professional real-time data sharing capability of the cloud-edge collaboration/edge collaboration framework and the iterative processing based on the inter-station travel history data, an accurate and reliable station reporting service processing mechanism under abnormal conditions is provided.
By adopting the technical scheme of the application, the method has the following beneficial effects: 1) According to the scheme, the advantages of the cloud edge end collaborative architecture are fully utilized, a set of universal station reporting system modules are designed through unified platform design, the modules are provided with secondary management of station reporting services, degradation-free service can be realized, and the robustness of the whole system is comprehensively improved; 2) By combining the cross-professional real-time data sharing capability of the cloud-edge collaboration/edge collaboration framework and the iterative processing based on the inter-station travel history data, the problem that the system can still provide accurate and reliable station reporting service under abnormal conditions is solved, and the riding experience of passengers at the station side is enhanced; 3) By combining various operation scenes of a low-traffic system, the system fully meets the diversity station reporting requirements (such as positive line operation, shunting charge, interval skip stop and the like), improves the line operation organization efficiency, and comprehensively improves the adaptability of the service scene.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present application.
According to another aspect of the embodiment of the present application, there is also provided a linkage device of a vehicle for implementing the linkage method of the vehicle, and the intelligent edge control integrated machine applied to a linkage system of the vehicle may include: the sharing unit is used for keeping real-time data sharing with the central cloud server by utilizing a cloud edge collaborative frame formed between the sharing unit and the central cloud server, and keeping real-time data sharing with other intelligent edge control integrated machines by utilizing an edge collaborative frame formed between the sharing unit and other intelligent edge control integrated machines; and the linkage unit is used for operating the station reporting service according to the indication of the central cloud server under normal conditions and operating the station reporting service by utilizing the real-time data sharing and the historical data under abnormal conditions.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments, and this embodiment is not described herein.
Alternatively, in the present embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
The integrated units in the above embodiments may be stored in the above-described computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing one or more computer devices (which may be personal computers, servers or network devices, etc.) to perform all or part of the steps of the method described in the embodiments of the present application.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In several embodiments provided by the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.
Claims (10)
1. The linkage system of the vehicle is characterized by comprising a central cloud server, wireless access equipment, a plurality of vehicle-mounted equipment, a plurality of intelligent edge control integrated machines and a plurality of terminal equipment:
The intelligent edge control integrated machine is connected with the central cloud server through a three-layer annular redundant network, and the terminal equipment is connected with the intelligent edge control integrated machine;
the intelligent edge control all-in-one machine and the central cloud server form a cloud edge cooperative framework, different intelligent edge control all-in-one machines form edge cooperative frameworks, the cloud edge cooperative frameworks and the edge cooperative frameworks are used for providing a cross-specialty real-time data sharing function for the intelligent edge control all-in-one machine, the messages sent by the central cloud server can be received by all the intelligent edge control all-in-one machines, and any one of the messages sent by the intelligent edge control all-in-one machines can be received by other edge control all-in-one machines and the central cloud server;
the intelligent edge control integrated machine operates the station reporting service according to the indication of the central cloud server under normal conditions; and under the abnormal condition, the intelligent edge control integrated machine utilizes the real-time data sharing function and the historical data to operate the station reporting service.
2. The linkage system according to claim 1, wherein the intelligent edge control all-in-one machine operates a stop reporting service according to the indication of the central cloud server under normal conditions, and comprises:
under the condition that the central cloud server determines that the position of a target vehicle is in the range of a forecast station according to interaction with the vehicle-mounted equipment, the central cloud server matches schedule data through the vehicle number of the target vehicle, so that the front arrival condition is identified, a corresponding forecast station execution instruction is sent to a forecast station linkage processing center of the intelligent edge control integrated machine at the edge side, the forecast station linkage processing center of the intelligent edge control integrated machine sends a corresponding control instruction to terminal equipment of a station where the intelligent edge control integrated machine is located, after the terminal equipment is executed, the intelligent edge control integrated machine updates forecast station execution records of the station where the intelligent edge control integrated machine is located, and synchronizes the forecast station execution records to the central cloud server and other edge control integrated machines, wherein the front arrival condition comprises a normal shift arrival condition, a shift skip stop condition and a shift transfer non-stop condition;
under the condition that the central cloud server determines that the position of a target vehicle is in a stop reporting range according to interaction with the vehicle-mounted equipment, the central cloud server identifies a front stop-arrival condition through vehicle number matching schedule data of the target vehicle, and sends a corresponding stop reporting execution instruction to a stop reporting linkage processing center of the intelligent edge control integrated machine at the edge side, the stop reporting linkage processing center of the intelligent edge control integrated machine sends a corresponding control instruction to terminal equipment of a station where the intelligent edge control integrated machine is located, and after the terminal equipment is executed, the intelligent edge control integrated machine updates a stop reporting execution record of the station where the intelligent edge control integrated machine is located and synchronizes the stop reporting execution record to the central cloud server and other edge control integrated machines.
3. The linkage system according to claim 2, wherein, before the intelligent edge control all-in-one machine runs a stop-reporting service as instructed by the center cloud server,
under the condition that the central cloud server monitors that the running state of the vehicle-mounted data service of the vehicle-mounted equipment is normal, the central cloud server acquires basic data of a target vehicle through the vehicle-mounted data service and identifies whether the vehicle communication state in the basic data is normal, wherein the basic data comprises a vehicle GPS, a vehicle number, a vehicle running direction, a vehicle communication state and a distance from the vehicle to the next station;
and under the condition that the central cloud server monitors the abnormal running state of the vehicle-mounted data service of the vehicle-mounted equipment or identifies the abnormal vehicle communication state in the basic data, the central cloud server determines the forecast station time or the report station time of the next station of the shift where the target vehicle is located by combining the departure time of the last station of the shift where the target vehicle is located and the inter-station driving interval.
4. The linkage system according to claim 1, wherein the intelligent edge control all-in-one machine runs a station announcement service using the real-time data sharing function and the history data in case of an abnormality, comprising:
When the position of a target vehicle is in a forecast station range, a station reporting linkage processing center of the intelligent edge control integrated machine matches schedule data through the vehicle number of the target vehicle, so that a front station arrival condition is identified, a corresponding control instruction is issued to terminal equipment of a station where the target vehicle is located, after the terminal equipment is executed, the intelligent edge control integrated machine updates a forecast station execution record of the station where the target vehicle is located, and synchronizes the forecast station execution record to the central cloud server and other edge control integrated machines, wherein the front station arrival condition comprises a normal station entering of a shift, a skip stop of the shift and a continuous stop of the shift passing;
when the position of the target vehicle is in the stop reporting range, the stop reporting linkage processing center of the intelligent edge control integrated machine is matched with schedule data through the vehicle number of the target vehicle, so that the front stop arrival condition is identified, a corresponding control instruction is issued to the terminal equipment of the station, after the terminal equipment is executed, the intelligent edge control integrated machine updates the stop reporting execution record of the station, and the stop reporting execution record is synchronized to the central cloud server and other edge control integrated machines.
5. The linkage system according to claim 4, wherein, before the intelligent edge control all-in-one machine runs a stop-reporting service using the real-time data sharing function and history data,
under the condition that a station reporting linkage processing center of the intelligent edge control integrated machine monitors abnormal station reporting linkage service of the central cloud server, the intelligent edge control integrated machine takes over the linkage triggering rights of the station reporting and the station reporting;
the station reporting linkage processing center of the intelligent edge control integrated machine determines the station reporting time or station reporting time of the next station of the shift where the target vehicle is located according to the set of the operating shifts and combining the station departure time and the inter-station driving interval of the last station of the shift where the target vehicle is located;
the station reporting linkage processing center of the intelligent edge control integrated machine determines whether a vehicle enters and exits through interaction with the vehicle door linkage equipment;
under the condition that the arrival and departure of the vehicle is determined, a station reporting linkage processing center of the intelligent edge control integrated machine updates an arrival and departure record of a station where the intelligent edge control integrated machine is located, and synchronizes the arrival and departure record to the central cloud server and other edge control integrated machines;
and under the condition that no vehicle enters and exits, the stop reporting linkage processing center of the intelligent edge control integrated machine monitors whether the position of the target vehicle is in a stop reporting range or a stop reporting range.
6. The linkage system according to any one of claims 1 to 5, wherein the center cloud server or the intelligent edge control all-in-one determines a distance S of a target vehicle from a next station as follows ns :
Acquiring inter-station travel time T of shift to which the target vehicle belongs ED Wherein->Is->Time of next driving,/->For the total number of statistics, +.>To take the value of 1 to->Is a positive integer of (2);
according to the travel time T between stations ED Time T of departure of the target vehicle from the last station EL Current time T NL Inter-station distance S TS Predicting the distance S of the target vehicle from the next station ns =S TS (T NL -T EL )/T ED 。
7. A linkage method of a vehicle, characterized by being applied to the linkage system of the vehicle according to any one of claims 1 to 6, the linkage method comprising:
real-time data sharing between the cloud edge collaboration framework formed between the cloud edge collaboration framework and the central cloud server and between the cloud edge collaboration framework and other intelligent edge control all-in-one machines is kept, and real-time data sharing between the cloud edge collaboration framework formed between the cloud edge collaboration framework and the central cloud server and between the cloud edge collaboration framework and other intelligent edge control all-in-one machines is kept;
and under normal conditions, the station reporting service is operated according to the indication of the central cloud server, and under abnormal conditions, the station reporting service is operated by utilizing the real-time data sharing and the historical data.
8. A linkage for a vehicle, characterized by being applied to the linkage system for a vehicle according to any one of claims 1 to 6, the linkage comprising:
the sharing unit is used for keeping real-time data sharing with the central cloud server by utilizing a cloud edge collaborative frame formed between the sharing unit and the central cloud server, and keeping real-time data sharing with other intelligent edge control integrated machines by utilizing an edge collaborative frame formed between the sharing unit and other intelligent edge control integrated machines;
and the linkage unit is used for operating the station reporting service according to the indication of the central cloud server under normal conditions and operating the station reporting service by utilizing the real-time data sharing and the historical data under abnormal conditions.
9. A storage medium comprising a stored program, wherein the program when run performs the method of claim 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor performs the method of claim 7 by means of the computer program.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101123515A (en) * | 2006-08-09 | 2008-02-13 | 新世界(中国)科技传媒有限公司 | A forecast method for station reach time in digital bus system |
CN109523821A (en) * | 2018-11-30 | 2019-03-26 | 湖南智慧畅行交通科技有限公司 | It is a kind of that point calculating method leaving from station is arrived based on city bus GPS information |
CN211015924U (en) * | 2020-03-13 | 2020-07-14 | 广州通达汽车电气股份有限公司 | Bus stop announcement system |
KR102215885B1 (en) * | 2019-11-22 | 2021-02-15 | 오산대학교 산학협력단 | Bus stop operating system for bus stop and bus non-stop management, and control method thereof |
WO2022120593A1 (en) * | 2020-12-08 | 2022-06-16 | 深圳市锐明技术股份有限公司 | Test method, test apparatus, and terminal device |
-
2023
- 2023-07-24 CN CN202310903735.4A patent/CN116620366B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101123515A (en) * | 2006-08-09 | 2008-02-13 | 新世界(中国)科技传媒有限公司 | A forecast method for station reach time in digital bus system |
CN109523821A (en) * | 2018-11-30 | 2019-03-26 | 湖南智慧畅行交通科技有限公司 | It is a kind of that point calculating method leaving from station is arrived based on city bus GPS information |
KR102215885B1 (en) * | 2019-11-22 | 2021-02-15 | 오산대학교 산학협력단 | Bus stop operating system for bus stop and bus non-stop management, and control method thereof |
CN211015924U (en) * | 2020-03-13 | 2020-07-14 | 广州通达汽车电气股份有限公司 | Bus stop announcement system |
WO2022120593A1 (en) * | 2020-12-08 | 2022-06-16 | 深圳市锐明技术股份有限公司 | Test method, test apparatus, and terminal device |
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