Signal centralized monitoring system adopting cloud and edge combined architecture

Abstract

The invention provides a signal centralized monitoring system adopting a cloud-side combination architecture, and the system comprises a signal centralized monitoring cloud center which is disposed at a railway bureau level and is used for achieving the normalized arrangement and secure storage of monitoring data, and a signal centralized monitoring data mining application of a big data layer; the edge cloud nodes are arranged at the level of a power section, are connected with management networks of all lines in the local management, and are simultaneously connected with a monitoring wide area network for disaster recovery, so that the functions of static management, construction and skylight management, deep learning, disaster recovery and emergency service of each node of the lines are realized; and the station layer monitoring station machine communicates with the signal centralized monitoring cloud center through a monitoring wide area network to realize uploading of monitoring data.

Description

Technical Field

[0001] The present invention relates to the field of railway communication signals, and in particular to a centralized signal monitoring system using a cloud-edge combined architecture. Background Art

[0002] The CSM system is a special production system in the field of railway wheel signaling. It is a unified platform for centralized monitoring and data analysis of station signaling equipment. It adopts a three-level three-layer structure, including the Railway Corporation, Railway Bureau (including the Electric Department), and Station. The station layer interfaces with CBI, TCC, power supply screen, ZPW2000, CTC and other systems to realize data collection, analysis and storage. Monitoring terminals are set up at the workshop, electric department and railway bureau levels. Each terminal realizes the query and analysis functions of real-time data, historical data and alarms of each station under its jurisdiction through the application services provided by the monitoring bureau center.

[0003] The existing centralized signal monitoring system's bureau monitoring center aggregates data from each monitoring node at the station level and provides data services for a single node to the terminal. It is unable to provide cross-node and cross-system horizontal big data analysis, such as correlation, causality, trend display and analysis, etc. The CSM system does not have automatic learning and in-depth learning functions. When a signal equipment fails, it is necessary to rely on manual analysis of the basic collected data provided by the CSM to locate and judge the fault, resulting in long fault handling and delays. The CSM system's own maintenance functions and application services are all set up in the bureau monitoring center, and the actual maintenance personnel are scattered in various electrical sections, which aggravates the computing power and network bandwidth pressure of the bureau monitoring center and causes slow response of the monitoring and maintenance terminals. Under certain abnormal circumstances, when the bureau monitoring center is unable to provide services, the monitoring terminals of all electrical sections and workshops in the world will be unusable, and the operation status of signal equipment on all lines in the world cannot be monitored.

[0004] In order to solve the above problems, people have been seeking an ideal technical solution. Summary of the invention

[0005] The purpose of the present invention is to address the deficiencies in the prior art and to provide a centralized signal monitoring system that adopts a cloud-edge combined architecture and has a scientific design, high integration, and good security.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: a signal centralized monitoring system adopting a cloud-edge combined architecture, comprising: The signal centralized monitoring cloud center is set at the railway bureau level, including an interface layer, a hardware resource layer I, a cloud management layer, and a big data application layer; the interface layer is used to realize data security interaction; the hardware resource layer I is used to provide basic hardware resources for the signal centralized monitoring cloud center; the cloud management layer is used to realize resource allocation and management, data normalization processing and data security storage; the big data application layer is used to realize data mining applications; The edge cloud node is set at the power section level, including a hardware resource layer II and an application layer. The hardware resource layer II is used to provide basic hardware resources for the edge cloud node; the application layer is used to implement basic line node configuration, construction skylight maintenance and in-depth learning; The station-level monitoring station communicates with the signal centralized monitoring cloud center through the monitoring wide area network to upload the monitoring data.

[0007] Furthermore, the signal centralized monitoring cloud center, the edge cloud node and the station-level monitoring are connected through a communication wide area network to achieve synchronization of monitoring data, and network isolation is achieved through a safety isolation device; the edge cloud node is synchronously connected to the management network of each node of the line station to achieve static management, construction and skylight management and fault deep learning functions of each node of the line station.

[0008] Furthermore, a cross-domain large Layer 2 interconnection network is established between the cloud center and the edge cloud nodes by a communication wide area network, so that when a business-level disaster recovery event occurs in the signal centralized monitoring cloud center, the signal centralized monitoring cloud center and the edge cloud nodes can achieve business interconnection.

[0009] Compared with the prior art, the present invention has outstanding substantial features and significant progress. Specifically, the present invention proposes a signal centralized monitoring system adopting a cloud-edge combined architecture. Under the traditional CSM system structure, the cloud-edge combined architecture is adopted. The monitoring bureau center adopts a cloud structure, and edge cloud nodes are added to the electrical section, which makes up for and overcomes the shortcomings of the existing CSM system, realizes the normal functional complementarity and disaster recovery and emergency migration functions of the monitoring cloud center and edge cloud nodes, optimizes the functional distribution of the signal centralized monitoring system, and improves the availability and security of the signal centralized monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a structural block diagram of the centralized signal monitoring system with cloud-edge architecture.

[0011] Figure 2 It is the underlying physical structure of the signal centralized monitoring cloud center.

[0012] Figure 3 It is the underlying physical structure of the edge cloud node. DETAILED DESCRIPTION

[0013] The technical solution of the present invention is further described in detail below through specific implementation methods.

[0014] Example 1 This embodiment provides a centralized signal monitoring system using a cloud-edge combined architecture. Figure 1 As shown, it includes: signal centralized monitoring cloud center, edge cloud nodes and station-level monitoring stations.

[0015] The centralized signal monitoring cloud center is generally set up at the railway bureau level to realize the normalization and secure storage of monitoring data and the application of centralized signal monitoring data mining at the big data layer.

[0016] Specifically, Figure 2 As shown, each signal centralized monitoring cloud center is divided into an interface layer, a hardware resource layer I, a cloud management layer, and a big data application layer.

[0017] Specifically, the interface layer includes the vertical interface and horizontal interface of the signal centralized monitoring cloud center, which are used to realize data security interaction. Specifically, the vertical interface of the signal centralized monitoring cloud center is used to communicate with the edge cloud node and the station-level monitoring station; the horizontal interface of the signal centralized monitoring cloud center is used to connect with multiple bureau center access systems, and specifically, the bureau center access system includes the train dispatching centralized system CTC, the wireless block center system RBC, the train operation monitoring equipment monitoring and management system LMD, the train control equipment dynamic monitoring system DMS, the temporary speed limit server system TSRS and the train operation status information system LAIS and other systems.

[0018] It can be understood that the access of external horizontal and vertical systems is connected to the signal centralized monitoring cloud center after being isolated by regional boundaries through security isolation devices such as firewalls.

[0019] The hardware resource layer I is used to provide basic hardware resources for the signal centralized monitoring cloud center; specifically, the basic hardware resources adopt a virtualized architecture, including a computing resource pool cluster, a management cluster and network resources. The network resources include business network switches, management network switches and storage switches (redundant).

[0020] The cloud management layer is used to implement resource allocation and management, data normalization processing and data security storage.

[0021] The big data application layer is used to implement data mining applications. Specifically, the mining applications include comprehensive operation and maintenance analysis, equipment health analysis, prediction analysis, trend analysis, cross-system correlation analysis, cause-effect analysis, etc.

[0022] The edge cloud node is set at the power section level, including a hardware resource layer II and an application layer. The hardware resource layer is used to provide basic hardware resources for the edge cloud node; the application layer is used to implement basic line node configuration, construction skylight maintenance and in-depth learning.

[0023] Specifically, Figure 3 As shown, the hardware resource layer II adopts a virtualized architecture, including a computing resource pool cluster, a management cluster, and network resources; the basic line node configuration function includes the management of the state diagram and GIS diagram of all station nodes within the section, the alarm upper limit control, the issuance of the ZPW2000 adjustment table, and the station monitoring configuration data control; the construction skylight maintenance function includes controlled remote login, station program issuance and update, virus library and security policy library update and management, and station node network management. The in-depth learning function includes the summary, classification and management of typical fault cases within the section, case feature extraction, and automatic learning functions.

[0024] Furthermore, the edge cloud node is also provided with an NMS terminal for daily monitoring, maintenance and construction service functions.

[0025] It can be understood that the edge cloud node is connected to the management network of all lines under the management of the bureau on the one hand, and is connected to the monitoring wide area network for disaster recovery on the other hand, to realize static management of each node of the line, construction and skylight management, deep learning, disaster recovery and emergency service functions.

[0026] The station-level monitoring station communicates with the signal centralized monitoring cloud center through the monitoring wide area network to upload the monitoring data.

[0027] In specific implementation, the signal centralized monitoring cloud center, the edge cloud node and the station-level monitoring are connected through a communication wide area network to achieve synchronization of monitoring data, and network isolation is achieved through security isolation devices such as firewalls.

[0028] Preferably, the signal centralized monitoring bureau center is interconnected with the edge cloud node through a dedicated channel. Specifically, a cross-domain large layer 2 intercommunication network is established between the cloud center and the edge cloud node by a communication wide area network, so that when a business-level disaster recovery event occurs in the signal centralized monitoring cloud center, the signal centralized monitoring cloud center and the edge cloud node can achieve business intercommunication.

[0029] The cross-domain large Layer 2 interconnection network can realize virtual machine migration, data synchronization, network node IP drift, and application business drift between the cloud and the edge, so that when the signal centralized monitoring cloud center cannot provide services normally, the edge cloud node can be used to provide real-time data service functions to the terminal.

[0030] The data flow of the system is as follows: the real-time monitoring data of the station-level monitoring station enters the signal centralized monitoring cloud center through the monitoring wide area network. Under normal circumstances, terminals at all levels give priority to accessing the signal centralized monitoring cloud center to obtain real-time data services and non-real-time data analysis services; among which, real-time data services include data access, storage, terminal application response, and real-time alarms. At the same time, when the station is opened, the program is updated, and the security policy is updated, the edge cloud node realizes the management function through the wide area network channel.

[0031] In the disaster recovery state, the centralized signal monitoring cloud center can no longer provide real-time data services. The centralized signal monitoring cloud center and the edge cloud node realize business interoperability, migrate the virtual machine computing power, network, and storage to the edge cloud node, and the terminal obtains the real-time data services of each node in the segment management through the edge cloud node.

[0032] It can be understood that in this embodiment, the physical servers of the signal centralized monitoring cloud center and the edge cloud nodes are virtualized to realize computing resources, storage resources and network virtualization. In terms of connection, the signal centralized monitoring cloud center and the edge cloud nodes are connected to the monitoring wide area network, and can access the station monitoring nodes of each line. The edge cloud node synchronously accesses the management network of each node of the line station. A cross-domain large layer 2 intercommunication network is established between the signal centralized monitoring cloud center and the edge cloud node by the communication wide area network. In terms of application layer functions, the cloud center and the edge cloud nodes realize normal complementarity and disaster recovery emergency. Under normal circumstances, the cloud center is responsible for realizing real-time data services and big data analysis of non-real-time data, and the edge cloud nodes realize static management, construction and skylight management and fault deep learning functions of each node of the line. Under abnormal circumstances, when the cloud center cannot provide services to the outside world, the edge cloud nodes scattered in the electric service section layer will take over the cloud center to provide real-time data service functions to the terminals in the pipe, thereby realizing disaster recovery functions.

[0033] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or some technical features can be replaced by equivalents without departing from the spirit of the technical solution of the present invention, which should be included in the scope of the technical solution for protection of the present invention.

Claims

1. A centralized signal monitoring system using a cloud-edge combined architecture, characterized in that: include: The signal centralized monitoring cloud center is set up at the railway bureau level, including the interface layer, hardware resource layer I, cloud management layer, and big data application layer; The interface layer is used to realize data security interaction; the hardware resource layer is used to provide basic hardware resources for the signal centralized monitoring cloud center; The cloud management layer is used to implement resource allocation and management, data normalization processing and data security storage; the big data application layer is used to implement data mining applications; The edge cloud node is set at the power section level, including a hardware resource layer II and an application layer. The hardware resource layer II is used to provide basic hardware resources for the edge cloud node; the application layer is used to implement basic line node configuration, construction skylight maintenance and in-depth learning; and is used to take over the cloud center to provide real-time data service functions to the in-pilot terminal when a business-level disaster recovery event occurs in the signal centralized monitoring cloud center; The station-level monitoring station communicates with the signal centralized monitoring cloud center through the monitoring wide area network to upload the monitoring data.

2. According to claim 1, a centralized signal monitoring system using a cloud-edge combined architecture is characterized by: The signal centralized monitoring cloud center, the edge cloud node and the station-level monitoring are connected through a communication wide area network to achieve synchronization of monitoring data, and network isolation is achieved through a safety isolation device; the edge cloud node is synchronously connected to the management network of each node of the line station to realize static management, construction and skylight management and fault deep learning functions of each node of the line station.

3. A centralized signal monitoring system using a cloud-edge combined architecture according to claim 1 or 2, characterized in that: A cross-domain large Layer 2 interconnection network is established between the cloud center and the edge cloud node by a communication wide area network, so that when a business-level disaster recovery event occurs in the signal centralized monitoring cloud center, the signal centralized monitoring cloud center and the edge cloud node can achieve business interconnection.

4. The signal centralized monitoring system using a cloud-edge combined architecture according to claim 3 is characterized in that: Multiple bureau center access systems are connected to the signal centralized monitoring cloud center through a communication wide area network, and network isolation is achieved through a safety isolation device.

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