CN110780134B - System optimization method for improving reliability of industrial control data acquisition system - Google Patents
System optimization method for improving reliability of industrial control data acquisition system Download PDFInfo
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Abstract
The invention discloses a system optimization method for improving the reliability of an industrial control data acquisition system, which is characterized in that a server and network equipment bearing each function are taken as logic nodes of the system, the system reliability reconstruction design based on the nodes is adopted, the principle of ensuring the uninterrupted operation of services is followed, the system attack and safety design are not considered, the server and the network equipment bearing each function are divided into two levels of high reliability guarantee and general reliability guarantee, the nodes with high reliability requirements are adopted, and a high reliability guarantee strategy is adopted; and the nodes with medium and low requirements on reliability adopt a general reliability guarantee strategy. After the system is optimized by the method, the improved capacity comprises the following steps: the method and the system prevent local congestion of the network, prevent information network paralysis, prevent service data loss, prevent too low redundancy of key nodes, prevent single-point faults, prevent too high load of the server and too large time difference of the server, ensure the reliability of data storage and ensure uninterrupted operation of system services.
Description
Technical Field
The invention relates to the technical field of industrial control, in particular to a system optimization method for improving the reliability of an industrial control data acquisition system.
Background
With the progress of scientific technology and the change of energy development patterns, industrial control systems already cover various types of control systems, including monitoring and data acquisition systems, distributed control systems and the like; for a data acquisition system, data is generated at a terminal device, transmitted to a communication preposed server through a public network or a private network, and then subjected to data acquisition and storage and data application through an acquisition preposed server, a database server, an application server and the like. The current industrial control system is generally used in the industries of electric power, water conservancy, petroleum, natural gas and the like, data acquisition is an application category of the industrial control system, and related functions generally comprise visual report definition, definition of auditing relationship, examination and approval and release of reports, data filling, data preprocessing, data review, comprehensive query statistics and the like. With the continuous development of the existing internet of things technology, the quantity of industrial control data is continuously increased, the timeliness requirement on data processing is continuously improved, meanwhile, an industrial control system is used as a bottom data acquisition inlet, a large number of high-grade application systems are supported, and the system is a basic system for realizing the application of the internet of things, so that the reliable operation of the industrial control data acquisition system is especially important.
However, the traditional information system construction mode is still commonly adopted to construct an industrial control data acquisition system, the reliability research on the system is not deep enough, the reliability guarantee means is still insufficient, key node equipment in the system is not screened out, different reliability strategies are adopted for different equipment, the fault tolerance of the software and hardware architecture of the system is poor, when the industrial control data acquisition system fails, the system is difficult to recover in time, and when the system has too high processing pressure and cannot provide all services, part of services cannot be disconnected in time or the services cannot be degraded, so that the system pressure is reduced, and the core services are ensured to be uninterrupted.
Disclosure of Invention
The invention aims to provide a system optimization method for improving the reliability of an industrial control data acquisition system aiming at the defects in the prior art, and solves one or more of the problems in the prior art.
The invention provides a system optimization method for improving the reliability of an industrial control data acquisition system, which comprises the following steps:
the server and the network equipment which bear all functions in the industrial control system are regarded as all logic nodes of the industrial control system;
judging whether the operation of the industrial control system is influenced or not when each node fails; if the node fails to influence the operation of the industrial control system, the node is regarded as a node with high reliability requirement; otherwise, the node is regarded as the node with the general reliability requirement;
the nodes with high reliability requirements adopt a high-reliability guarantee strategy, so that after system data and files are damaged or lost, the system can automatically restore the data to the previous state, and the system can continue to operate normally;
the nodes with general reliability requirements adopt general reliability guarantee strategies, so that when a subassembly fails in the operation process of the system, the system still cannot fail and can continue to operate.
The method improves the fault-tolerant capability of the system and enhances the reliability of the system.
In some embodiments, for a high reliability guarantee requirement node, the design is carried out according to two aspects of node reliability and joint point adaptation; for the nodes with general reliability guarantee requirements, the reliability guarantee strategy can be customized according to the system condition.
In some embodiments, the node reliability uses dynamic load balancing for a certain device node, and adopts an n +2 principle, where n is the number of devices that need to be used at least for normal service development, 2 is redundant devices, the redundant devices are moderately added, and high-availability technologies such as clustering can be used to implement automatic switching of faulty devices or automatic service takeover.
In some embodiments, the related node self-adaptation is mainly realized by autonomously adjusting services by the related node, that is, by classifying and grading each service operated by the node in advance, when the performance pressure of the node is large, a strategy of delaying or even suspending part of low-level services to ensure the normal operation of higher-level services is adopted.
In some embodiments, the industrial control data acquisition system includes an acquisition master station layer, a communication channel layer, and a terminal device layer, where the acquisition master station layer includes a storage area, an application area, and a security access area.
In some embodiments, the storage area is composed of a production library cluster, an application library cluster, a data mining library cluster, an interface library cluster and a storage module, the application area is composed of a performance monitoring server, a master station cipher machine, an interface server, a collection front cluster, a Web application server and a task server cluster, the security access area is mainly a communication front cluster, the communication front cluster is connected with a load balancer and a multi-serial device, and the load balancer is communicated with the 3A authentication server.
In some embodiments, the server and the network device node with high reliability requirement have: the system comprises a communication server, an acquisition server, a task server, a Web application server, a cipher machine, an application library, an interface server, a production library and an interface library; the server and network equipment nodes with medium-low reliability requirements have the following characteristics: a data mining library and a performance monitoring server.
In summary, after the system is optimized by the method, the improved capability includes: the method and the system prevent local congestion of the network, prevent information network paralysis, prevent service data loss, prevent too low redundancy of key nodes, prevent single-point faults, prevent too high load of the server and too large time difference of the server, ensure the reliability of data storage and ensure uninterrupted operation of system services.
The invention has the beneficial effects that:
1. aiming at different equipment clusters, different reliability design strategies are adopted, so that the overall reliability of the system is improved, and meanwhile, resource waste is avoided;
2. the fault-tolerant capability of the system is improved, so that the instruction issuing accuracy and the annual availability of the system are improved, the mean time of no fault of various devices of the system is prolonged, the frequency of system faults is reduced, and the system fault recovery time is shortened;
3. during the peak period of the service and when the system operation pressure is higher, the normal operation of the key service can be preferentially ensured, the key service interruption and error risk can be reduced, and the larger loss can be avoided.
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FIG. 1 is a system logic architecture diagram of a system optimization method for improving the reliability of an industrial control data acquisition system according to the present invention;
fig. 2 is a physical logic architecture diagram of the system optimization method for improving the reliability of the industrial control data acquisition system according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, in some embodiments, a server and network equipment bearing each function are regarded as a logic node of a system, and a system reliability modification design based on the logic node is performed according to a principle of guaranteeing uninterrupted operation of a service, and the server and the network equipment bearing each function are divided into two levels of high reliability guarantee and general reliability guarantee without considering system attack and security design, and an equipment node with a high reliability requirement is used and a high reliability guarantee strategy is adopted; and the medium and low equipment nodes requiring reliability adopt a general reliability guarantee strategy.
In some embodiments, the industrial control data acquisition system includes an acquisition master station layer, a communication channel layer, and a terminal device layer, where the acquisition master station layer includes a storage area, an application area, and a security access area.
The storage area is composed of a production library cluster, an application library cluster, a data mining library cluster, an interface library cluster and a storage module. The production library mainly undertakes pre-collected data warehousing application and emphasizes data writing operation, data come from a pre-program, and data are synchronized to the application library in real time through a bottom layer copying technology (OGG, DSG and the like); the application library mainly bears the system function application requirements, is used for data query, statistical analysis and the like, focuses on data reading operation, and pushes issued data to the interface library, wherein the data come from the production library and other systems; the data mining library is mainly used for storing full data and simultaneously can bear query analysis application with long time span, and the data is from the application library and can be realized based on an Oracle and distributed storage mode; the interface library is mainly used for external data service application of the system, and data comes from the application library and is subjected to corresponding data verification.
The application area is composed of a performance monitoring service, a main station cipher machine, an interface server, a collection front cluster, a Web application server and a task server cluster, wherein the interface server and the Web application server are both connected with a load balancer to share flow, and the interface server can not adopt a load balancing mode on the premise of meeting the traffic. The master station cipher machine provides encryption and certificate services for terminal equipment communication, and only allows the acquisition front-end server to access; the interface server realizes the interactive management with other systems, undertakes the task of a system unified interface service platform, and undertakes the applications of system release data access, data release, data subscription and the like; the acquisition front-end cluster is responsible for processing the original data received by the communication front-end processor, realizing the analysis and data processing of the original data and finishing the writing of the acquired data into a system database; the Web application service is an application category of an industrial control system, and related functions generally comprise visual report definition, definition of audit relationship, examination and approval and release of reports, data filling, data preprocessing, data review, comprehensive query statistics and the like; the task server is responsible for initiating and executing various types of data acquisition functions of the system, such as daily data acquisition tasks and monthly data acquisition tasks.
The safety access area is mainly a communication front-end cluster, which is an important component of a front-end system and is used for keeping connection and communication with the terminal, managing a communication link between the safety access area and the terminal equipment, receiving and sending an original communication message, and processing login and heartbeat messages of the terminal; the communication preposed cluster is connected with a load balancer and a multi-serial port device, the load balancer is communicated with a 3A authentication server, the system realizes the unified management of archive data of all communication cards (SIM cards) to be accessed into the system through a 3A authentication system, and verifies whether an authentication access user is legal before a terminal user is accessed, and the system can be accessed only through the authentication communication card, and in addition, the 3A authentication system also provides services such as personalized service, operation management, monitoring, statistics, user database management and the like for an acquisition system; the communication channel layer mainly comprises an optical fiber private network channel, a public network channel and a serial port communication channel, wherein the optical fiber private network uses a dual-network mode, and the wireless private network and the wireless public network use a virtual private network VPN; public network channels comprise GPRS, CDMA, ADSL and the like; the serial port communication channel comprises a 230MHZ wireless private network, a PSTN, an RS232 private line and the like;
the terminal equipment layer is provided with industrial control terminal equipment, data are generated at the terminal equipment aiming at a data acquisition system, and are transmitted to the communication preposed server through a public network or a private network, and then data acquisition warehousing and data application are completed through the acquisition preposed server, the database server and the application server.
As shown in fig. 2, in the physical logic architecture diagram of the system optimization method for improving the reliability of the industrial control data acquisition system, all trunk lines are accessed by using two lines, a solid line represents a main link, a dotted line represents a standby link, and data can be backed up by using the standby link.
In some embodiments, the main hardware adopted by the industrial control data acquisition system after enhancing the logic reliability is as follows: the system comprises a communication preposition server, a collection preposition server, a main station cipher machine, a 3A authentication system, a database server, a Web application server and an interface server.
The communication prepositive server adopts a deployment mode of dynamic load balancing by a dynamic algorithm, for example, F5 equipment is used for realizing that after the server is down, other servers automatically take over the down server service; and in consideration of the reliability requirement of the communication front-end, the server adopts an n +2 principle to carry out redundancy. The calculation formula is as follows:
the number of communication front-end processor is equal to the total number of company full-coverage terminals (ten stations)/one access amount (ten stations) +2(2 redundant stations)
Acquiring a deployment mode that a front-end server adopts a dynamic algorithm to carry out dynamic load balancing, for example, F5 equipment is used for realizing that after a server is down, other servers automatically take over the down server service; and (4) taking the reliability requirement of acquisition preposition into consideration, and performing redundancy by the server by adopting an n +2 principle. The calculation formula is as follows:
collecting front-end processor quantity is the total quantity of message service needing to be processed/single second processing quantity +2(2 redundant)
The master cryptographic machine adopts a cluster mode, the number N of the cryptographic machines is 1+ M ((peak value is 1+ 20%))/18000, wherein M is the number of times of calling the cryptographic machine by each service, the peak value is the total service number in the peak period of the service, the redundancy value is calculated according to 10% -20%, the performance of the cryptographic machine is calculated according to 18000 times/s, and the failure rate is calculated as 1/N (generally 1) when one cryptographic machine fails in the peak period.
The 3A authentication system adopts a cluster mode, the hardware configuration adopts an N +1 principle to carry out redundancy, and the calculation formula is as follows:
collecting front-end processor quantity is the total amount of authentication processing/single second authentication processing amount +1(1 redundancy)
The database server comprises a production library, an application library, a data mining library and an interface library, which are deployed in a 2-node cluster mode, and each database uses an independent storage mode.
In some embodiments, the database also employs a backup strategy: starting a production library in a filing mode, performing full backup on the production library on weekdays by adopting an Rman backup mode, and performing incremental backup on the production library every one week to six weeks; the application library starts an archiving mode, backup is carried out by using a backup library DataGuard technology, and a logic backup mode is solely adopted for particularly important forms in the application library; the application library completes one-time historical data migration, the data mining library executes one-time full backup, and tools such as NetBackup and the like are used for backup; the interface library is backed up by using an RMAN or NetBackup tool, and is backed up in full quantity once a week and in incremental quantity every day. When data is lost, the backup file generated by the backup strategy is used for data recovery, so that the database can be recovered to any time point.
The Web application server is deployed by adopting a weblogic cluster, and load balancing is performed through F5; the method can also be used for dual cluster deployment, each server can be deployed with 2 managed nodes, 2 management nodes are correspondingly deployed, weblogic dual cluster processing is carried out, the number of the available managed nodes after deployment is 2 times that of the servers, and resources can be effectively utilized. And in consideration of the reliability requirement of the web, the server adopts an N +1 principle for redundancy. The calculation formula is as follows:
number of Web servers ═ maximum user login number/single session throughput +1(1 redundant)
When the interface server is physically deployed, in order to ensure that the interface service still stably operates in a high concurrent service scene, a load balancing server is added, all interface requests are dispatched to the interface server through the load balancing server for processing, wherein the load balancing server and the interface server are both deployed in a cluster.
The foregoing is only a preferred form of the invention and it should be noted that several similar variations and modifications could be made by one skilled in the art without departing from the inventive concept and these should also be considered within the scope of the invention.
Claims (5)
1. A system optimization method for improving the reliability of an industrial control data acquisition system is characterized by comprising the following steps:
the server and the network equipment which bear all functions in the industrial control system are regarded as all logic nodes of the industrial control system;
judging whether the operation of the industrial control system is influenced or not when each node fails; if the node fails to influence the operation of the industrial control system, the node is regarded as a node with high reliability requirement; otherwise, the node is regarded as the node with the general reliability requirement;
the nodes with high reliability requirements adopt a high-reliability guarantee strategy, so that after system data and files are damaged or lost, the system can automatically restore the data to the previous state, and the system can continue to operate normally;
the node with general reliability requirement adopts general reliability guarantee strategy, so that the system still can not fail and can continue to operate when the subassembly component fails in the operation process of the system;
for a certain equipment node, the node reliability uses dynamic load balancing and adopts an n +2 principle, wherein n is the number of equipment which is required to be used at least for the development of normal services, 2 is redundant equipment, the redundant equipment is moderately added, and high available technologies such as clustering and the like can be used for realizing automatic switching of fault equipment or automatic service takeover;
the industrial control data acquisition system comprises an acquisition master station layer, a communication channel layer and a terminal equipment layer, wherein the acquisition master station layer comprises a storage area, an application area and a safety access area.
2. The system optimization method for improving the reliability of the industrial control data acquisition system according to claim 1, wherein the method comprises the following steps: for the nodes with high reliability guarantee requirements, designing according to two aspects of node reliability and phase joint point self-adaption; for the nodes with general reliability guarantee requirements, the reliability guarantee strategy can be customized according to the system condition.
3. The system optimization method for improving the reliability of the industrial control data acquisition system according to claim 2, wherein the method comprises the following steps: the self-adaption of the joint points is mainly realized by the self-adaption of the related nodes, namely, various services operated by the nodes are classified and graded in advance, and when the performance pressure of the nodes is higher, a strategy of delaying or even suspending part of low-level services is adopted to ensure the normal operation of higher-level services.
4. The system optimization method for improving the reliability of the industrial control data acquisition system according to claim 1, wherein the method comprises the following steps: the storage area is composed of a production library cluster, an application library cluster, a data mining library cluster, an interface library cluster and a storage module, the application area is composed of a performance monitoring server, a main station cipher machine, an interface server, a collection front cluster, a Web application server and a task server cluster, the safety access area is mainly a communication front cluster, the communication front cluster is connected with a load balancer and a multi-serial-port device, and the load balancer is communicated with a 3A authentication server.
5. The system optimization method for improving the reliability of the industrial control data acquisition system according to claim 1, wherein the method comprises the following steps: the server and the network equipment nodes with high reliability requirements have the following steps: the system comprises a communication server, an acquisition server, a task server, a Web application server, a cipher machine, an application library, an interface server, a production library and an interface library; the server and network equipment nodes with medium-low reliability requirements have the following characteristics: a data mining library and a performance monitoring server.
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