CN115092218A - Full life cycle intelligent operation and maintenance system of high-speed railway signal system - Google Patents
Full life cycle intelligent operation and maintenance system of high-speed railway signal system Download PDFInfo
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- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
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Abstract
The invention provides a full life cycle intelligent operation and maintenance system of a high-speed railway signal system, which comprises: the operation and maintenance model is a main monitoring system constructed based on a ground microcomputer monitoring device and a sub-monitoring system constructed based on a vehicle-mounted microcomputer device of a high-speed train controlled and operated by a dispatching center; the communication part is used for communication between the main monitoring system and the sub-monitoring systems; the sub-monitoring system is provided with a monitoring network system, and the monitoring network system is constructed by a vehicle-mounted microcomputer device based on the development of monitoring tasks; the monitoring network system at least has a main monitoring network; a plurality of sub monitoring networks which are constructed based on the main monitoring network and are carried out along with the monitoring task; and the plurality of sub monitoring networks are constructed by taking the main monitoring network as a main line based on the monitoring task, and the main monitoring network and the plurality of sub monitoring networks acquire a plurality of running data of the high-speed train in real time according to the monitoring task and send the plurality of running data to the main monitoring system after gathering.
Description
Technical Field
The invention relates to the technical field of high-speed railway signal system operation and maintenance, in particular to a full-life-cycle intelligent operation and maintenance system of a high-speed railway signal system.
Background
The existing signal system of the high-speed railway is composed of three core combinations, a ground microcomputer monitoring device, a vehicle-mounted microcomputer monitoring device and a dispatching center, and a monitoring network is constructed by the three core combinations. In the prior art, for example, publication numbers are: "CN 112734164A", a high-speed railway signal system full life cycle intelligence operation and maintenance method, includes the following steps: the method comprises the steps that firstly, according to relevance and independence among subsystems of a signal system, the high-speed railway signal system is divided into a decision layer, a relevant signal system layer and a bottom layer from large to small according to different functions; the decision layer is a top layer and comprises a dispatching control associated signal system, a train associated signal system and a ground monitoring associated signal system, wherein the dispatching control associated signal system consists of a dispatching center associated signal system, a station associated signal system and a network communication associated signal system, the train associated signal system consists of a vehicle-mounted train control associated signal system, a vehicle-mounted monitoring associated signal system, a communication associated signal system and an autonomous positioning associated signal system, and the ground monitoring associated signal system consists of a microcomputer monitoring system extension and a signal equipment centralized monitoring system; the related signal system layer is a whole with specific functions combined by a plurality of sub-signal systems which are mutually dependent in interaction; the bottom layer is composed of various basic unit signal systems;
analyzing the relevance and the independence among the signal systems, defining different discrete events, then defining the transition of the discrete events according to different running states and the evolution process of the running states, defining a discrete event dynamic system from bottom to top in a progressive mode according to layers to describe the evolution process of the high-speed railway signal system, and constructing a full life cycle evolution model of the high-speed railway signal system;
establishing an input-output mapping relation, a coupling relation of each subsystem and a system stability margin corresponding to each state for each associated signal system, and constructing a dynamic quantitative evaluation index function of each stage of the full life cycle of the high-speed railway signal system;
analyzing the influence of independent or simultaneous occurrence of abnormal conditions on the system state and output of each associated signal system under different states and input conditions, and constructing a dynamic risk early warning model of each stage of the full life cycle of the high-speed railway signal system by combining the occurrence probability of the abnormal conditions;
analyzing the redundancy and robustness of the system for each associated signal system, researching the influence of strong nonlinear coupling between subsystems on fault diagnosis, reconstructing the key state in the system, and judging whether the associated signal system has faults or not according to the quantitative evaluation index function and the risk early warning model obtained in the third step and the fourth step; and then, continuously tracking and analyzing the change of the system state, further judging or predicting whether the system has faults by combining a control system fault diagnosis and analysis method, and realizing the repair of the system faults by adopting corresponding means or design algorithms according to the specific characteristics of the fault system.
The technology disclosed above only shows how to construct a full-life-cycle intelligent operation system in a general way, but does not disclose how to construct a monitoring network, and data transmission among a ground microcomputer monitoring device, a vehicle-mounted microcomputer monitoring device and a dispatching center must depend on the monitoring network for data transmission, exchange and command transmission.
Disclosure of Invention
In view of the above, the main objective of the present invention is to provide a full-life-cycle intelligent operation and maintenance system for a high-speed railway signal system.
The technical scheme adopted by the invention is as follows:
full life cycle intelligence operation and maintenance system of high-speed railway signal system includes:
the operation and maintenance model is a main monitoring system constructed based on a ground microcomputer monitoring device and a sub-monitoring system constructed based on a vehicle-mounted microcomputer device of a high-speed train controlled and operated by a dispatching center;
the communication part is used for communication between the main monitoring system and the sub-monitoring systems;
the sub-monitoring system is provided with a monitoring network system, and the monitoring network system is constructed by a vehicle-mounted microcomputer device based on the development of monitoring tasks;
the monitoring network system at least has a main monitoring network; a plurality of sub monitoring networks which are constructed based on the main monitoring network and are carried out along with the monitoring task; the plurality of sub monitoring networks are constructed by taking the main monitoring network as a main line based on the monitoring task and can perform task intercommunication with the main monitoring network;
the main monitoring network and the plurality of sub-monitoring networks acquire a plurality of running data of the high-speed train in real time according to the monitoring tasks, and send the running data to the main monitoring system after gathering.
Further, the main monitoring system is connected with the dispatching center;
and the sub-monitoring systems establish communication by the main monitoring system according to the progress of the scheduling task of the scheduling center, and send the monitoring task to the sub-monitoring systems by the main monitoring system according to a set plan.
Further, the monitoring network system has:
a data acquisition unit;
a task monitor;
at least one primary monitoring network; and
a plurality of sub monitoring networks which are constructed based on the main monitoring network and are carried out along with the monitoring task;
the sub-monitoring network acquires a plurality of operation data of the high-speed train in real time according to the monitoring task, and the plurality of operation data form a data transmission load when being transmitted in the sub-monitoring network;
the plurality of operation data are transmitted to the data acquisition unit through the sub monitoring network and/or the main monitoring network, and are sent to the main monitoring system by the data acquisition unit;
when at least one monitoring task is carried out, the task monitor takes the main monitoring network as a main line to construct a sub-monitoring network capable of carrying out task intercommunication with the main monitoring network based on the monitoring task; the real-time load of the operation of the sub monitoring network is monitored based on the task monitor, and the real-time load of the operation of the sub monitoring network can be adjusted by allocating the transfer of the monitoring task or shunting the monitoring task to the main monitoring network through the task monitor.
Further, the child monitor network has:
a sub-transmission network;
and the monitor is used for monitoring the transmission load of the sub-transmission network.
Further, the master monitoring network has:
a primary transport network;
and the virtual interface is used for connecting the main transmission network and the sub transmission network.
Further, the task monitor has:
the task recognizer is used for recognizing the monitoring task;
a configuration unit, configured to generate a configuration instruction of a sub-monitoring network based on the monitoring task;
the execution unit is used for constructing a sub-monitoring network which can perform task intercommunication with the main monitoring network by taking the main monitoring network as a main line based on the configuration instruction;
the monitoring unit is used for monitoring the real-time load of the operation of the sub-monitoring network and comparing the real-time load with a set threshold value so as to monitor the condition of the real-time load;
the regulation and control unit is used for regulating the real-time load of the operation of the sub monitoring network by allocating the transfer of the monitoring task or shunting the monitoring task to the main monitoring network when the monitoring unit monitors that the real-time load of the operation of the sub monitoring network exceeds a set threshold value;
and the recording unit is used for recording the abnormal monitoring state of the monitoring unit and the monitoring data corresponding to the abnormal monitoring state to form a monitoring log.
Further, the main monitoring system has:
each transmission channel corresponds to the sub-monitoring system and is used for acquiring a plurality of running data and monitoring logs acquired by the sub-monitoring systems in real time;
the analysis unit is used for analyzing the abnormal monitoring state contained in the monitoring log and the monitoring data corresponding to the abnormal monitoring state;
an artificial intelligence system having a first neural network model and a second neural network model;
the first neural network model is used for training and predicting by using the operation data to output abnormal points in each operation data and abnormal states represented by the abnormal points; generating a first regulating and controlling instruction according to a set plan based on the abnormal point and the abnormal state represented by the abnormal point, wherein the first regulating and controlling instruction is sent to the vehicle-mounted microcomputer device by the main monitoring system through the sub-monitoring system for corresponding regulation;
the second neural network model is used for carrying out training prediction on the abnormal monitoring state contained in the monitoring log and the monitoring data corresponding to the abnormal monitoring state, and correspondingly generating a second regulation and control instruction, and the second regulation and control instruction is sent to the vehicle-mounted microcomputer device by the main monitoring system through the sub-monitoring system to carry out corresponding regulation;
and the synchronization unit is used for transmitting the result of the artificial intelligence system training prediction to the dispatching center in real time.
The application provides a monitoring network based on a ground microcomputer monitoring device, a vehicle-mounted microcomputer monitoring device and a dispatching center as cores, wherein an operation and maintenance model is a main monitoring system constructed based on the ground microcomputer monitoring device and a sub-monitoring system constructed based on the vehicle-mounted microcomputer device of a high-speed train controlled and operated by the dispatching center; the main monitoring system and the sub-monitoring systems are communicated through a communication part; the sub-monitoring system is provided with a monitoring network system, and the monitoring network system at least comprises a main monitoring network; a plurality of sub monitoring networks which are constructed based on the main monitoring network and are carried out along with the monitoring task; the sub-monitoring network has: the system comprises a sub-transmission network and a monitor, wherein the monitor is used for monitoring the transmission load of the sub-transmission network, the main monitoring network is provided with a main transmission network and a virtual interface, and the virtual interface is used for connecting the main transmission network and the sub-transmission network, so that a plurality of sub-monitoring networks are constructed by taking the main monitoring network as a main line based on monitoring tasks and can perform task intercommunication with the main monitoring network; the main monitoring system is provided with an artificial intelligence system which can carry out training prediction according to the operation data and the monitoring data corresponding to the abnormal monitoring state and the abnormal monitoring state contained in the monitoring log, and the operation data is correspondingly input to the vehicle-mounted microcomputer monitoring device to regulate and control the operation equipment connected with the vehicle-mounted microcomputer monitoring device.
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The invention is illustrated in the following drawings, which are only schematic and explanatory and are not restrictive of the invention, and wherein:
FIG. 1 is a schematic diagram of the framework of the present invention;
FIG. 2 is a schematic diagram of a monitoring network system according to the present invention;
FIG. 3 is a schematic diagram of a framework of a task monitor according to the present invention.
Detailed Description
In order to make the objects, technical solutions, design methods, and advantages of the present invention more apparent, the present invention will be further described in detail by specific embodiments with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1 to 3, the full-life-cycle intelligent operation and maintenance system of the high-speed railway signal system comprises:
the operation and maintenance model is a main monitoring system constructed based on a ground microcomputer monitoring device and a sub-monitoring system constructed based on a vehicle-mounted microcomputer device of a high-speed train controlled and operated by a dispatching center;
the communication part is used for communication between the main monitoring system and the sub-monitoring systems;
the sub-monitoring system is provided with a monitoring network system, and the monitoring network system is constructed by a vehicle-mounted microcomputer device based on the development of monitoring tasks;
the monitoring network system at least has a main monitoring network; a plurality of sub monitoring networks which are constructed based on the main monitoring network and are carried out along with the monitoring task; the plurality of sub monitoring networks are constructed by taking the main monitoring network as a main line based on the monitoring tasks and can perform task intercommunication with the main monitoring network;
the main monitoring network and the plurality of sub-monitoring networks acquire a plurality of running data of the high-speed train in real time according to the monitoring tasks, and send the plurality of running data to the main monitoring system after gathering.
In the above, the main monitoring system is connected to the dispatching center;
and the sub-monitoring systems establish communication by the main monitoring system according to the progress of the scheduling task of the scheduling center, and send the monitoring task to the sub-monitoring systems by the main monitoring system according to a set plan.
In the above, the monitoring network system includes:
a data acquisition unit;
a task monitor;
at least one primary monitoring network; and
a plurality of sub monitoring networks which are constructed based on the main monitoring network and are carried out along with the monitoring task;
the sub-monitoring network acquires a plurality of operation data of the high-speed train in real time according to the monitoring task, and the plurality of operation data form a data transmission load when being transmitted in the sub-monitoring network;
the plurality of operation data are transmitted to the data acquisition unit through the sub monitoring network and/or the main monitoring network, and are sent to the main monitoring system by the data acquisition unit;
when at least one monitoring task is carried out, the task monitor takes the main monitoring network as a main line to construct a sub-monitoring network capable of carrying out task intercommunication with the main monitoring network based on the monitoring task; the real-time load of the operation of the sub-monitoring network is monitored based on the task monitor, and the real-time load of the operation of the sub-monitoring network can be adjusted by allocating the transfer of the monitoring task or shunting the monitoring task to the main monitoring network through the task monitor.
In the above, the child monitor network includes:
the sub-transmission network is a sub-transmission network,
and the monitor is used for monitoring the transmission load of the sub-transmission network.
In the above, the master monitoring network includes:
a primary transport network;
and the virtual interface is used for connecting the main transmission network and the sub transmission network.
In the above, the task monitor has:
the task recognizer is used for recognizing the monitoring task;
a configuration unit, configured to generate a configuration instruction of a sub-monitoring network based on the monitoring task;
the execution unit is used for constructing a sub-monitoring network which can perform task intercommunication with the main monitoring network by taking the main monitoring network as a main line based on the configuration instruction;
the monitoring unit is used for monitoring the real-time load of the operation of the sub-monitoring network and comparing the real-time load with a set threshold value so as to monitor the condition of the real-time load;
the regulation and control unit is used for regulating the real-time load of the operation of the sub monitoring network by allocating the transfer of the monitoring task or shunting the monitoring task to the main monitoring network when the monitoring unit monitors that the real-time load of the operation of the sub monitoring network exceeds a set threshold value;
and the recording unit is used for recording the abnormal monitoring state of the monitoring unit and the monitoring data corresponding to the abnormal monitoring state to form a monitoring log.
In the above, the main monitoring system includes:
each transmission channel corresponds to the sub-monitoring system and is used for acquiring a plurality of running data and monitoring logs acquired by the sub-monitoring systems in real time;
the analysis unit is used for analyzing the abnormal monitoring state contained in the monitoring log and the monitoring data corresponding to the abnormal monitoring state;
an artificial intelligence system having a first neural network model and a second neural network model;
the first neural network model is used for training and predicting by using the operation data so as to output abnormal points in each operation data and abnormal states represented by the abnormal points; generating a first regulating and controlling instruction according to a set plan based on the abnormal point and the abnormal state represented by the abnormal point, wherein the first regulating and controlling instruction is sent to the vehicle-mounted microcomputer device by the main monitoring system through the sub-monitoring system for corresponding regulation;
the second neural network model is used for carrying out training prediction on the abnormal monitoring state contained in the monitoring log and the monitoring data corresponding to the abnormal monitoring state, and correspondingly generating a second regulation and control instruction, and the second regulation and control instruction is sent to the vehicle-mounted microcomputer device by the main monitoring system through the sub-monitoring system to carry out corresponding regulation;
and the synchronization unit is used for transmitting the result of the artificial intelligence system training prediction to the dispatching center in real time.
The invention also provides a full-life-cycle intelligent operation and maintenance method of the high-speed railway signal system, which comprises the following steps:
providing an operation and maintenance model, wherein the operation and maintenance model is a main monitoring system constructed based on a ground microcomputer monitoring device as a core and a sub-monitoring system constructed based on a vehicle-mounted microcomputer device of a high-speed train controlled and operated by a dispatching center;
the sub-monitoring system is provided with a monitoring network system, and the monitoring network system is constructed by taking a vehicle-mounted microcomputer device as a core based on the development of a monitoring task; the vehicle-mounted microcomputer device is used for connecting running equipment of a high-speed train, such as a tractor, a positioning device, a video monitoring system and the like; the monitoring network system at least has a main monitoring network; a plurality of sub monitoring networks which are constructed based on the main monitoring network and are carried out along with the monitoring task; the plurality of sub monitoring networks are constructed by taking the main monitoring network as a main line based on the monitoring tasks and can perform task intercommunication with the main monitoring network;
the sub-monitoring network acquires a plurality of operation data of the high-speed train in real time according to the monitoring task, and the plurality of operation data form a data transmission load when being transmitted in the sub-monitoring network; the plurality of operation data are transmitted to the data acquisition unit through the sub monitoring network and/or the main monitoring network, and are sent to the main monitoring system by the data acquisition unit; when at least one monitoring task is carried out, the task monitor takes the main monitoring network as a main line to construct a sub-monitoring network capable of carrying out task intercommunication with the main monitoring network based on the monitoring task; the real-time load of the operation of the sub-monitoring network is monitored based on the task monitor, and the real-time load of the operation of the sub-monitoring network can be adjusted by allocating the transfer of the monitoring task or shunting the monitoring task to the main monitoring network through the task monitor.
The first neural network model of the artificial intelligence system carries out training prediction by using the operation data so as to output abnormal points in each operation data and abnormal states represented by the abnormal points; generating a first regulating and controlling instruction according to a set plan based on the abnormal point and the abnormal state represented by the abnormal point, wherein the first regulating and controlling instruction is sent to the vehicle-mounted microcomputer device by the main monitoring system through the sub-monitoring system for corresponding regulation; a second neural network model of the artificial intelligence system trains and predicts the abnormal monitoring state contained in the monitoring log and the monitoring data corresponding to the abnormal monitoring state, and correspondingly generates a second regulation and control instruction which is sent to the vehicle-mounted microcomputer device by the main monitoring system through the sub-monitoring system for corresponding regulation;
and the synchronization unit sends the result of the artificial intelligence system training prediction to the scheduling center in real time.
The application provides a monitoring network based on a ground microcomputer monitoring device, a vehicle-mounted microcomputer monitoring device and a dispatching center as cores, wherein an operation and maintenance model is a main monitoring system constructed based on the ground microcomputer monitoring device and a sub-monitoring system constructed based on the vehicle-mounted microcomputer device of a high-speed train controlled and operated by the dispatching center; the main monitoring system and the sub-monitoring systems are communicated through a communication part; the sub-monitoring system is provided with a monitoring network system, and the monitoring network system at least has one main monitoring network; a plurality of sub monitoring networks which are constructed based on the main monitoring network and are carried out along with the monitoring task; the child monitor network has: the system comprises a sub-transmission network and a monitor, wherein the monitor is used for monitoring the transmission load of the sub-transmission network, the main monitoring network is provided with a main transmission network and a virtual interface, and the virtual interface is used for connecting the main transmission network and the sub-transmission network, so that a plurality of sub-monitoring networks are constructed by taking the main monitoring network as a main line based on monitoring tasks and can perform task intercommunication with the main monitoring network; the main monitoring system is provided with an artificial intelligence system which can carry out training prediction according to the operation data and the monitoring data corresponding to the abnormal monitoring state and the abnormal monitoring state contained in the monitoring log, and the operation data is correspondingly input to the vehicle-mounted microcomputer monitoring device to regulate and control the operation equipment connected with the vehicle-mounted microcomputer monitoring device.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (7)
1. Full life cycle intelligence operation and maintenance system of high-speed railway signal system, its characterized in that includes:
the operation and maintenance model is a main monitoring system constructed based on a ground microcomputer monitoring device and a sub-monitoring system constructed based on a vehicle-mounted microcomputer device of a high-speed train controlled and operated by a dispatching center;
the communication part is used for communication between the main monitoring system and the sub-monitoring systems;
the sub-monitoring system is provided with a monitoring network system, and the monitoring network system is constructed by a vehicle-mounted microcomputer device based on the development of monitoring tasks;
the monitoring network system at least has a main monitoring network; a plurality of sub monitoring networks which are constructed based on the main monitoring network and are carried out along with the monitoring task; the plurality of sub monitoring networks are constructed by taking the main monitoring network as a main line based on the monitoring tasks and can perform task intercommunication with the main monitoring network;
the main monitoring network and the plurality of sub-monitoring networks acquire a plurality of running data of the high-speed train in real time according to the monitoring tasks, and send the running data to the main monitoring system after gathering.
2. The full-life-cycle intelligent operation and maintenance system of the high-speed railway signal system as claimed in claim 1, wherein the main monitoring system is connected with the dispatching center;
and the sub-monitoring systems establish communication by the main monitoring system according to the progress of the scheduling task of the scheduling center, and send the monitoring task to the sub-monitoring systems by the main monitoring system according to a set plan.
3. The full-life-cycle intelligent operation and maintenance system of the high-speed railway signal system as claimed in claim 1, wherein the monitoring network system comprises:
a data acquisition unit;
a task monitor;
the sub monitoring network acquires a plurality of operation data of the high-speed train in real time according to the monitoring task, and the plurality of operation data form a data transmission load when being transmitted in the sub monitoring network;
the plurality of operation data are transmitted to the data acquisition unit through the sub monitoring network and/or the main monitoring network, and are sent to the main monitoring system by the data acquisition unit;
when at least one monitoring task is carried out, the task monitor takes the main monitoring network as a main line to construct a sub-monitoring network which can carry out task intercommunication with the main monitoring network based on the monitoring task; the real-time load of the operation of the sub-monitoring network is monitored based on the task monitor, and the real-time load of the operation of the sub-monitoring network can be adjusted by allocating the transfer of the monitoring task or shunting the monitoring task to the main monitoring network through the task monitor.
4. The full-life-cycle intelligent operation and maintenance system of a high-speed railway signal system of claim 3, wherein the sub-monitoring network comprises:
a sub-transmission network;
and the monitor is used for monitoring the transmission load of the sub-transmission network.
5. The full-life-cycle intelligent operation and maintenance system of the high-speed railway signal system as claimed in claim 3, wherein the main monitoring network comprises:
a primary transport network;
and the virtual interface is used for connecting the main transmission network and the sub transmission network.
6. The full-life-cycle intelligent operation and maintenance system of a high-speed railway signal system as claimed in claim 3, wherein the task monitor comprises:
the task recognizer is used for recognizing the monitoring task;
a configuration unit, configured to generate a configuration instruction of a sub-monitoring network based on the monitoring task;
the execution unit is used for constructing a sub-monitoring network which can perform task intercommunication with the main monitoring network by taking the main monitoring network as a main line based on the configuration instruction;
the monitoring unit is used for monitoring the real-time load of the operation of the sub-monitoring network and comparing the real-time load with a set threshold value so as to monitor the condition of the real-time load;
the regulation and control unit is used for regulating the real-time load of the operation of the sub monitoring network by allocating the transfer of the monitoring task or shunting the monitoring task to the main monitoring network when the monitoring unit monitors that the real-time load of the operation of the sub monitoring network exceeds a set threshold value;
and the recording unit is used for recording the abnormal monitoring state of the monitoring unit and the monitoring data corresponding to the abnormal monitoring state to form a monitoring log.
7. The full-life-cycle intelligent operation and maintenance system of the high-speed railway signal system as claimed in claim 1, wherein the main monitoring system comprises:
each transmission channel corresponds to the sub-monitoring system and is used for acquiring a plurality of running data and monitoring logs acquired by the sub-monitoring systems in real time;
the analysis unit is used for analyzing the abnormal monitoring state contained in the monitoring log and the monitoring data corresponding to the abnormal monitoring state;
an artificial intelligence system having a first neural network model and a second neural network model;
the first neural network model is used for training and predicting by using the operation data to output abnormal points in each operation data and abnormal states represented by the abnormal points; generating a first regulation and control instruction according to a set plan based on the abnormal point and the abnormal state represented by the abnormal point, wherein the first regulation and control instruction is sent to the vehicle-mounted microcomputer device by the main monitoring system through the sub-monitoring system for corresponding regulation;
the second neural network model is used for carrying out training prediction on the abnormal monitoring state contained in the monitoring log and the monitoring data corresponding to the abnormal monitoring state, and correspondingly generating a second regulation and control instruction, and the second regulation and control instruction is sent to the vehicle-mounted microcomputer device by the main monitoring system through the sub-monitoring system to carry out corresponding regulation;
and the synchronization unit is used for transmitting the result of the artificial intelligence system training prediction to the dispatching center in real time.
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| CN116775665A (en) * | 2023-08-24 | 2023-09-19 | 云南省交通投资建设集团有限公司 | Full-automatic task release system based on daily operation and maintenance management of expressway |
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