CN113759849A - Intelligent operation and maintenance service support system - Google Patents
Intelligent operation and maintenance service support system Download PDFInfo
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Abstract
The application discloses intelligence fortune dimension service support system includes: the intelligent distributed control system DCS comprises an intelligent gateway and an intelligent platform. A DCS health model system is deployed in the intelligent platform. The intelligent DCS is used for transmitting key health parameters to the intelligent gateway in a one-way mode through the health parameter network port. The key health parameters comprise key hardware health parameters and key software health parameters, and the key hardware health parameters and the key software health parameters are respectively used for monitoring the health states of hardware and software in the intelligent DCS. The intelligent gateway is used for receiving the key health parameters sent by the intelligent DCS and sending the key health parameters to the intelligent platform. The intelligent platform is used for receiving key health parameters sent by the intelligent gateway, the DCS health model system is used for simulating the intelligent DCS, and health analysis and processing are carried out on the intelligent DCS based on the key health parameters, so that intelligent operation and maintenance services are provided. The intelligent operation and maintenance service system can provide intelligent operation and maintenance service for the intelligent DCS with high complexity.
Description
Technical Field
The application relates to the field of fault prediction and health management, in particular to an intelligent operation and maintenance service support system.
Background
Based on the technologies of Prediction and Health Management (PHM), the system can be monitored, managed and evaluated for Health status, and the system can be predicted for faults before faults occur, and a series of maintenance and guarantee suggestions or decisions can be provided by combining the existing resource information.
At present, the PHM-based intelligent operation and maintenance system is only for simple electronic products, and still in the technical concept stage, and a systematic and implementable intelligent operation and maintenance system technical scheme is not proposed.
For a Distributed Control System (DCS) with high complexity and a wide variety of devices, there is no complete set of intelligent operation and maintenance System.
Disclosure of Invention
In order to solve the technical problem, the application provides an intelligent operation and maintenance service support system for providing intelligent operation and maintenance service for an intelligent DCS.
In order to achieve the above purpose, the technical solutions provided in the embodiments of the present application are as follows:
the embodiment of the application provides an intelligence operation and maintenance service system, the system includes: the intelligent distributed control system DCS comprises an intelligent gateway and an intelligent platform; a DCS health model system is deployed in the intelligent platform;
the intelligent DCS is used for unidirectionally transmitting key health parameters to the intelligent gateway through the health parameter network port; the key health parameters comprise key hardware health parameters and key software health parameters; the key hardware health parameters are used for monitoring the health state of hardware in the intelligent DCS, and the key software health parameters are used for monitoring the health state of software in the intelligent DCS;
the intelligent gateway is used for receiving the key health parameters sent by the intelligent DCS and sending the key health parameters to the intelligent platform;
the intelligent platform is used for receiving the key health parameters sent by the intelligent gateway; the DCS health model system is used for simulating the intelligent DCS, carrying out health analysis and processing on the intelligent DCS based on the key health parameters and providing intelligent operation and maintenance service.
Optionally, the intelligent DCS includes an acquisition module; the acquisition module comprises a hardware acquisition module and a software acquisition module;
the acquisition module is used for acquiring the key health parameters;
the hardware acquisition module is used for acquiring key hardware health parameters in the intelligent DCS; the hardware acquisition module and the target hardware in the intelligent DCS have the same design standard;
the software acquisition module is used for acquiring key software health parameters in the intelligent DCS; the software acquisition module and the target software in the intelligent DCS have the same design standard;
and when the hardware acquisition module or the software acquisition module fails, the target hardware and the target software in the intelligent DCS work normally.
Optionally, the intelligent DCS includes an acquisition module;
the acquisition module is used for acquiring key health parameters in an online mode when a first acquisition condition is met, and acquiring the key health parameters in an offline mode when a second acquisition condition is met.
Optionally, the intelligent DCS is configured to maintain a network based on health parameters through a health parameter network port and transmit the key health parameters to the intelligent gateway in an online transmission manner when a first transmission condition is satisfied;
and the intelligent DCS is used for transmitting the key health parameters to the intelligent gateway in an off-line transmission mode when a second transmission condition is met.
Optionally, the intelligent DCS includes at least a control station, a server, and an operator station;
the control station is deployed in an electric room, the server is deployed in the electric room, and the operator station is deployed in a main control room.
Optionally, the key health parameters include control station key health parameters, server key health parameters, and operator station key health parameters;
the key health parameters of the control station comprise key hardware health parameters of the control station and key software health parameters of the control station;
the key hardware health parameters include the control station key hardware health parameters, server key hardware health parameters, and operator station hardware key health parameters.
Optionally, the intelligent gateways include a first intelligent gateway and a second intelligent gateway;
the first intelligent gateway is used for receiving the key health parameters of the control station sent by the control station;
the second intelligent gateway is used for receiving the server key health parameters sent by the server, the operator station key health parameters sent by the operator station and the control station key health parameters sent by the first intelligent gateway, and sending the key health parameters to the intelligent platform.
Optionally, the intelligent gateway is configured to send the key health parameter to the intelligent platform in an online transmission manner when a third transmission condition is met;
and the intelligent gateway is used for sending the key health parameters to the intelligent platform in an off-line transmission mode when a fourth transmission condition is met.
Optionally, the intelligent gateway is configured to obtain a secondary key health parameter based on the key health parameter, and send the key health parameter and the secondary key health parameter to the intelligent platform as updated key health parameters.
Optionally, the smart platform comprises a base layer, a platform layer and an application layer; the application layer is used for providing the intelligent operation and maintenance service;
the intelligent operation and maintenance service at least comprises the steps of health parameter panoramic monitoring, health state assessment and prediction, fault positioning and analysis, maintenance suggestion and guidance and reliability data closed-loop management.
According to the technical scheme, the method has the following beneficial effects:
the embodiment of the application provides an intelligent operation and maintenance service support system, which comprises: intelligence DCS, intelligent gateway and intelligent platform. Wherein, a DCS health model system is deployed in the intelligent platform. The intelligent DCS is used for transmitting key health parameters to the intelligent gateway in a one-way mode through the health parameter network port. The key health parameters comprise key hardware health parameters and key software health parameters, the key hardware health parameters are used for monitoring the health state of hardware in the intelligent DCS, and the key software health parameters are used for monitoring the health state of software in the intelligent DCS. The intelligent gateway is used for receiving the key health parameters sent by the intelligent DCS and sending the key health parameters to the intelligent platform. And the intelligent platform is used for receiving the key health parameters sent by the intelligent gateway. Furthermore, the DCS health model system is used for simulating the intelligent DCS, and carrying out health analysis and processing on the intelligent DCS based on the received key health parameters, so that intelligent operation and maintenance service is provided. The intelligent operation and maintenance service system provided by the embodiment of the application can provide intelligent operation and maintenance service for the intelligent DCS with high complexity.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of an exemplary application scenario provided in an embodiment of the present application;
fig. 2 is a schematic diagram of an intelligent operation and maintenance service support system according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram illustrating an actual composition of an intelligent operation and maintenance service support system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another intelligent operation and maintenance service support system according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the drawings are described in detail below.
In order to facilitate understanding and explaining the technical solutions provided by the embodiments of the present application, the following first describes the background art of the embodiments of the present application.
Based on the technologies of Prediction and Health Management (PHM), the system can be monitored, managed and evaluated for Health status, and the system can be predicted for faults before faults occur, and a series of maintenance and guarantee suggestions or decisions can be provided by combining the existing resource information.
At present, the PHM-based intelligent operation and maintenance system is only for simple electronic products, and still in the technical concept stage, and a systematic and implementable intelligent operation and maintenance system technical scheme is not proposed.
For a Distributed Control System (DCS) with high complexity and a wide variety of devices, there is no complete set of intelligent operation and maintenance System.
Based on this, the embodiment of the application provides an intelligent operation and maintenance service support system, which is used for providing intelligent operation and maintenance service for an intelligent DCS. The intelligent operation and maintenance service support system provided by the embodiment of the application can be understood as an intelligent operation and maintenance service support system of an intelligent DCS based on a PHM technology.
In order to facilitate understanding of an intelligent operation and maintenance service support system provided in the embodiments of the present application, an exemplary application scenario of the system is described below with reference to fig. 1. Fig. 1 is a schematic diagram of an exemplary application scenario provided in an embodiment of the present application. As shown in fig. 1, the system includes an intelligent DCS, an intelligent gateway, and an intelligent platform. A DCS health model system is deployed in the intelligent platform.
The intelligent DCS is used for unidirectionally transmitting key health parameters to the intelligent gateway through the health parameter network port; the key health parameters comprise key hardware health parameters and key software health parameters; the key hardware health parameters are used for monitoring the health state of hardware in the intelligent DCS, and the key software health parameters are used for monitoring the health state of software in the intelligent DCS;
the intelligent gateway is used for receiving the key health parameters sent by the intelligent DCS and sending the key health parameters to the intelligent platform;
the intelligent platform is used for receiving the key health parameters sent by the intelligent gateway; the DCS health model system is used for simulating the intelligent DCS, performing health analysis and processing on the intelligent DCS based on key health parameters and providing intelligent operation and maintenance service.
After the intelligent platform provides the intelligent operation and maintenance service, a maintenance scheme suggestion is provided, maintenance execution guidance is provided based on the maintenance scheme suggestion, and the intelligent DCS is maintained based on the maintenance execution guidance to improve the health state of the intelligent DCS. The maintenance scheme suggestion and the maintenance execution guidance are intelligent operation and maintenance services provided by the intelligent operation and maintenance service system.
Those skilled in the art will appreciate that the block diagram shown in fig. 1 is only one example in which embodiments of the present application may be implemented. The scope of applicability of the embodiments of the present application is not limited in any way by this framework.
In order to understand the intelligent operation and maintenance service support system provided by the embodiment of the present application, the following describes the system in detail with reference to the accompanying drawings.
Referring to fig. 2, fig. 2 is a schematic diagram of an intelligent operation and maintenance service support system according to an embodiment of the present application. As shown in fig. 2, the system includes an intelligent DCS1, an intelligent gateway 2, and an intelligent platform 3. A DCS health model system is deployed in the intelligent platform 3. As an alternative example, the intelligent DCS1 is a nuclear power plant intelligent DCS.
The intelligent DCS1 is used for unidirectionally transmitting key health parameters to the intelligent gateway 2 through the health parameter network port, wherein the key health parameters comprise key hardware health parameters and key software health parameters, the key hardware health parameters are used for monitoring the health state of hardware in the intelligent DCS1, and the key software health parameters are used for monitoring the health state of software in the intelligent DCS 1. The hardware in the intelligent DCS1 is mainly a hardware circuit.
The health parameters are parameters used to characterize the health status of the smart DCS 1. By analyzing the health parameters of the intelligent DCS1, the health status of the intelligent DCS1 can be known. The health parameters are the data basis for realizing the operation and maintenance functions of the intelligent DCS1 system.
The safety is the primary factor to be considered in the intelligent DCS1, especially in the nuclear power station intelligent DCS, and the maintenance function belongs to the function with lower safety classification. Therefore, the intelligent operation and maintenance service support system provided by the embodiment of the application has the advantage that the influence on the original functions of the DCS is avoided when the key health parameters are collected and transmitted. Based on this, it is necessary to comprehensively evaluate health parameters and select key health parameters with important functions and high failure rate from the health parameters. The actual intelligent DCS1 is monitored based on key health parameters, and unnecessary over-design is avoided. For example, the key health parameters are the voltage, current and accuracy of the hardware circuit, and the CPU load, memory and communication error rate of the software.
As an optional example, the failure mode and effect analysis FMEA is used to select key health parameters with high functional importance and high failure rate.
In order to avoid affecting the original communication network of the intelligent DCS1, the health parameter network port in the embodiment of the present application is a network interface dedicated to the intelligent DCS1, and is independent of other communication interfaces of the intelligent DCS1, and is used for transmitting health parameters.
In addition, the key health parameters are transmitted to the intelligent gateway 2 by the intelligent DCS1 in a unidirectional mode, and reverse data transmission is not needed. Thus, the transmission of key health parameters does not affect the original functionality of the intelligent DCS 1.
The intelligent DCS1 includes an acquisition module for acquiring key health parameters. The acquisition module comprises a hardware acquisition module and a software acquisition module. The hardware acquisition module is used for acquiring key hardware health parameters in the intelligent DCS1, and the software acquisition module is used for acquiring key software health parameters in the intelligent DCS 1.
In order to avoid the influence of the intelligent operation and maintenance service support system on the original functions of the actual intelligent DCS1, the design standards of the hardware acquisition module and the target hardware in the intelligent DCS1 are the same, and the design standards of the software acquisition module and the target software in the intelligent DCS1 are the same. In addition, the hardware acquisition module and the software acquisition module do not adopt complex designs exceeding the design level of the target hardware and the target software, taking the technical realizability into full consideration.
As an alternative example, the target hardware is hardware in the actual Intelligent DCS1 except for modules related to key health parameter acquisition and transmission. The target software is software in the actual intelligent DCS1 except for modules related to key health parameter collection and transmission.
Considering the independence of the acquisition module and the target hardware and the target software of the intelligent DCS1, when the hardware acquisition module and the software acquisition module are designed and the hardware acquisition module or the software acquisition module is required to be out of work, the target hardware and the target software in the intelligent DCS1 can still work normally.
The acquisition module is further used for acquiring key health parameters in an online mode when a first acquisition condition is met. The first acquisition condition as a whole satisfies the simple principle, i.e. the process of acquiring the key health parameter is simple. In particular, the specific content of the first acquisition condition can be determined by the related evaluation parameter. For example, the first acquisition condition is that the number of acquisition modules required for acquiring the key health parameters is less than the preset number, and the key health parameters are determined to be easy to acquire and can be directly acquired in an online manner.
The acquisition module is further used for acquiring the key health parameters in an off-line mode when the second acquisition condition is met. The second acquisition condition on the whole satisfies a complex principle, i.e. the process of collecting the key health parameters is complex. In specific implementation, the specific content of the second acquisition condition can be determined by the related parameters. For example, the second acquisition condition is that the number of acquisition modules required for acquiring the key health parameters is greater than or equal to a preset number, and it is determined that the key health parameters are complicated to acquire, and the key health parameters can be directly acquired in an off-line manner. In particular, a reserved test interface can be adopted to perform off-line acquisition during shutdown overhaul.
It should be noted that, the first acquisition condition and the second acquisition condition are not limited in the embodiment of the present application, and may be determined according to actual requirements of an actual application scenario.
In practical applications, an intelligent DCS1, such as a nuclear power plant DCS, includes at least a control station, a server, and an operator station. The control station is deployed in the electric room, the server is deployed in the electric room, and the operator station is deployed in the main control room.
Then, the key health parameters include control station key health parameters, server key health parameters, and operator station key health parameters. The control station critical health parameters include control station critical hardware health parameters and control station critical software health parameters. Accordingly, the server key health parameters include server key hardware health parameters and server key software health parameters. The operator station key health parameters include operator station key hardware health parameters and operator station key software health parameters.
Then, the key hardware health parameters include control station key hardware health parameters, server key hardware health parameters, and operator station hardware key health parameters. Accordingly, the key software health parameters include control station key software health parameters, server key software health parameters, and operator station software key health parameters.
During specific implementation, the control station, the server and the operator station respectively maintain the network through the corresponding health parameter network ports and the corresponding health parameters, and respectively transmit the corresponding control station key health parameters, the server key health parameters and the operator station key health parameters to the intelligent gateway 2 in a one-way manner.
In addition, when the intelligent DCS1 sends the key health intelligent parameters to the intelligent gateway 2, the key health intelligent parameters may be transmitted to the intelligent gateway 2 in an online transmission mode or an offline transmission mode. Specifically, the intelligent DCS1 is further configured to maintain the network based on the health parameters through the health parameter network port and transmit the key health parameters to the intelligent gateway 2 in an online transmission manner when the first transmission condition is satisfied.
In order to maintain the independence of the devices (such as a control station, a server, and an operator station) and the intelligent gateway in the intelligent DCS1, a health parameter maintenance network independent of the existing communication network is used. The original communication network is the network used by the control station, server and operator station to implement communication functions other than collecting and transmitting key health parameters.
The intelligent DCS1 is configured to transmit the key health parameter to the intelligent gateway 2 in an offline transmission manner when the second transmission condition is satisfied. It can be understood that, the first transmission condition and the second transmission condition are not limited in the embodiments of the present application, and may be determined according to actual requirements of an actual application scenario.
It should be noted that, during the online operation of the intelligent DCS1, it is only responsible for sending the key health parameters to the intelligent gateway 2, and further calculation and logic processing are not required for the key health parameters, so as to avoid affecting the processing function of the intelligent DCS 1.
The intelligent gateway 2 in the embodiment of the application is used for receiving the key health parameters sent by the intelligent DCS1 and sending the key health parameters to the intelligent platform 3.
In the embodiment of the present application, the intelligent gateway 2 includes a first intelligent gateway and a second intelligent gateway. The first intelligent gateway and the second intelligent gateway are designed as two-layer gateways. By means of the layered design mode of the two layers of gateways, the calculation processing load of the gateways can be dispersed, and meanwhile, the installation and the deployment of network equipment such as the gateways, the switches and the optical fibers are facilitated. In practical application, a first intelligent gateway is arranged for each electric room with a control station, and is used for receiving key health parameters of the control station sent by the control station. And aiming at the electric room where the server is located and the master control room where the operator station is located, a second intelligent gateway is arranged and used for receiving the server key health parameters sent by the server, the operator station key health parameters sent by the operator station and the control station key health parameters sent by the first intelligent gateway. The second intelligent gateway is also used to send the key health parameters to the intelligent platform 3.
When the intelligent gateway 2 transmits the key health parameters to the intelligent platform 3, an online transmission mode and an offline transmission mode can be adopted. In specific implementation, the intelligent gateway 2 is configured to send the key health parameter to the intelligent platform 3 in an online transmission manner when the third transmission condition is satisfied. And the intelligent gateway 2 is used for sending the key health parameters to the intelligent platform 3 in an off-line transmission mode when the fourth transmission condition is met. For example, the online transmission mode is to transmit the key health parameter online to the intelligent platform 3 on the remote side through the virtual private network VPN, or to derive the key health parameter offline through the modes such as optical disc burning.
The third transmission condition and the fourth transmission condition are not limited in the embodiment of the application, and can be determined according to the actual requirements of the actual application scene.
In addition, the intelligent gateway 2 is also used for preprocessing the key health parameters and transmitting the processed key health parameters to the intelligent platform 3. Wherein the data preprocessing comprises obtaining secondary key health parameters based on the key health parameters. For example, the power value is calculated according to the collected voltage and current values. After the secondary key health parameters are obtained, the intelligent gateway 2 sends the key health parameters and the secondary key health parameters as updated key health parameters to the intelligent platform 3.
In the embodiment of the present application, the health parameter maintenance network between the intelligent DCS1 and the intelligent gateway 2 employs a custom proprietary protocol. Moreover, the intelligent gateway 2 is internally provided with a sound network security mechanism and technical means, so that the confidentiality and integrity of key health parameter transmission can be improved, the stealing or tampering in the network transmission process can be prevented, and the use of operation and maintenance data by a legal user can be ensured to the greatest extent.
The intelligent platform 3 is used for receiving the key health parameters sent by the intelligent gateway 2. The intelligent platform 3 complies with the relevant technical standards of operation and maintenance and network security. The DCS health model system is used for simulating intelligent DCS1, and carrying out health analysis and processing on intelligent DCS1 based on key health parameters, and providing intelligent operation and maintenance service.
As an optional example, the architecture design of the intelligent platform 3 adopts an industrial internet cloud platform architecture of "IaaS, PaaS, SaaS". The intelligent platform 3 includes a base layer IaaS, a platform layer PaaS, and an application layer SaaS. The base layer IaaS is a base device for communication and data processing. The application layer SaaS is used for providing intelligent operation and maintenance service. The intelligent operation and maintenance service at least comprises the steps of health parameter panoramic monitoring, health state assessment and prediction, fault positioning and analysis, maintenance suggestion and guidance and reliability data closed-loop management.
The DCS health model system in the intelligent platform 3 is a digital model-based DCS health model system, which is parallel to the actual intelligent DCS1, and is used to analyze and process the received key health parameters, and simulate the health and fault states of the actual intelligent DCS 1. The DCS health model system is located on a platform layer PaaS and comprises a DCS hardware health model, a DCS software health model, a fault comprehensive diagnosis model, a fault cause positioning model, a fault influence deduction model and a reliability statistical analysis model. Specifically, a DCS hardware health model and a DCS software health model are used to simulate the intelligent DCS 1.
The intelligent platform 3 further includes a terminal layer, which supports multiple terminals, such as a personal computer, a mobile phone, a tablet, and the like, and is compatible with multiple operating systems, and supports flexible extension of applications with more operation and maintenance functions.
It should be noted that the intelligent operation and maintenance service support system provided in the embodiment of the present application is implemented based on the PHM technology, and the design of the intelligent operation and maintenance service support system conforms to the operation and maintenance technical standard and the safety design standard. The PHM technology is a comprehensive technology integrating fault detection, isolation, health prediction, evaluation and maintenance decision, and is used for monitoring, managing and evaluating the health state of the system by using data information of a sensor acquisition system and by means of an information technology and an artificial intelligence reasoning algorithm, predicting faults of the system before the system breaks down, and providing a series of maintenance and guarantee suggestions or decisions by combining existing resource information.
The embodiment of the application provides an intelligent operation and maintenance service support system, which comprises: intelligence DCS, intelligent gateway and intelligent platform. Wherein, a DCS health model system is deployed in the intelligent platform. The intelligent DCS is used for transmitting key health parameters to the intelligent gateway in a one-way mode through the health parameter network port. The key health parameters comprise key hardware health parameters and key software health parameters, the key hardware health parameters are used for monitoring the health state of hardware in the intelligent DCS, and the key software health parameters are used for monitoring the health state of software in the intelligent DCS. The intelligent gateway is used for receiving the key health parameters sent by the intelligent DCS and sending the key health parameters to the intelligent platform. And the intelligent platform is used for receiving the key health parameters sent by the intelligent gateway. Furthermore, the DCS health model system is used for simulating the intelligent DCS, and carrying out health analysis and processing on the intelligent DCS based on the received key health parameters, so that intelligent operation and maintenance service is provided. The intelligent operation and maintenance service system provided by the embodiment of the application provides intelligent operation and maintenance service for the intelligent DCS with high complexity. The health state of hardware in the intelligent DCS can be monitored, and the health state of software in the intelligent DCS can also be monitored. And the mode of combining online acquisition with offline acquisition and the mode of combining online transmission with offline transmission are adopted, so that the technical realizability is improved. Meanwhile, the influence of collecting and transmitting key health parameters on the original functions of the intelligent DCS is reduced to the maximum extent by utilizing a sufficient independent design means.
In order to comprehensively understand the intelligent operation and maintenance service system provided in the embodiment of the present application, the embodiment of the present application takes an intelligent operation and maintenance service support system applied to an intelligent DCS of a nuclear power plant as an example for description. Referring to fig. 3 and fig. 4, fig. 3 is a schematic diagram of an actual composition of an intelligent operation and maintenance service support system provided in the embodiment of the present application, and fig. 4 is a schematic diagram of an architecture of another intelligent operation and maintenance service support system provided in the embodiment of the present application.
As shown in fig. 3, from the perspective of the actual configuration of the intelligent operation and maintenance service system, in practical application, the intelligent operation and maintenance service support system for the nuclear power plant intelligent DCS may be divided into a remote side and a power station side.
An intelligent DCS is deployed on the side of the power station and comprises a DCS operator station, a DCS server and a DCS control station. The DCS operator station comprises a DCS operator station 1-a DCS operator station N, namely N DCS operator stations are shared. The DCS operator station is located in the main control room. The DCS server comprises a DCS server 1-a DCS server N, namely N DCS servers are shared. The DCS server is located in the electric room 1.
The DCS control station is positioned in the electric room 1-the electric room N. Taking the electrical room 2 as an example, the DCS control stations include DCS control stations 1 to N, that is, N DCS control stations are deployed in the electrical room 2. The arrangement of the DCS control station in the electric room 3-electric room N is similar to that of the electric room 2, and the description is omitted here. The DCS operator station, the DCS server and the DCS control station are all provided with communication interfaces, and communication among the communication interfaces is carried out by adopting an original DCS communication network.
The DCS operator station, the DCS server, and the DCS control station are also provided with maintenance ports (i.e., health parameter network ports in the above embodiments). And the maintenance interface is used for sending the acquired key health parameters to the intelligent gateway. Specifically, the network is maintained to transmit key health parameters through a maintenance interface and health parameters. The difference between the original DCS communication network and the health parameter maintenance network, and the difference between the communication interface and the maintenance port, enables the collection and transmission of key health parameters in the intelligent operation and maintenance service system provided by the embodiment of the application to be independent of other functions of the intelligent DCS. Therefore, the normal operation of other functions of the DCS control station, the DCS server and the DCS operator station can not be influenced by the collection and transmission of the key health parameters.
The intelligent gateways iGW include a first intelligent gateway iGW-L1 and a second intelligent gateway iGW-L2. In particular implementation, key health parameters in the DCS server and the DCS operation station are transmitted to the input ports of the second intelligent gateways iGW-L2 through the maintenance ports. The critical health parameters of the control station are transmitted through the maintenance port to the input ports of the first intelligent gateway iGW-L1.
The intelligent Platform adopts an intelligent Multi-Service Platform (imasp). In practical application, the intelligent platform is realized through an iMSP server. The iMSP server comprises a remote side iMSP server and a power station side iMSP server.
The remote-side iMSP server and the power station-side iMSP server have different functions, and the remote-side iMSP server is used for processing big data of a group factory and providing a higher-order remote support function. The station side imasp server provides the relevant functions for use by the nuclear power plant owner. The remote side iMSP server is positioned in the remote operation and maintenance service center. The station side iMSP server and the second intelligent gateway iGW-L2 are located in a computer room on the station side. The remote side iMSP server and the power station side iMSP server are both provided with communication interfaces for receiving key health parameters sent from the output port of the intelligent gateway.
In FIG. 3, DNET1-DNET3 represent 3 different DeviceNet protocols. The communication between the DCS control station and the first intelligent gateway iGW-L1 employs the DNET1 protocol. The communication between the DCS operator station, the DCS server and the DCS control station uses the DNET2 protocol. The DNET3 protocol is used for communication between the second intelligent gateway iGW-L2 and the station-side imasp server. The DNET3 protocol is used for communication between the second intelligent gateway iGW-L2 and the remote-side imasp server.
In addition, from the perspective of the structural composition of the intelligent operation and maintenance service system, as shown in fig. 4, the intelligent operation and maintenance service support system for the nuclear power plant DCS product provided in the embodiment of the present application includes a DCS product, an intelligent operation and maintenance gateway, and an intelligent platform.
The DCS product includes a control station, a server and an operator station. The DCS product is an intelligent DCS and is used for transmitting the acquired key health parameters to an intelligent operation and maintenance gateway (intelligent gateway for short) through a special network (health parameter maintenance network). And the intelligent operation and maintenance gateway transmits the key health parameters to the intelligent platform.
The intelligent platform comprises a base layer IaaS, a platform layer PaaS, an application layer SaaS and a terminal layer.
And the base layer IaaS receives the key health parameters sent by the intelligent gateway in a cloud platform mode and then sends the key health parameters to the platform layer PaaS.
The platform layer PaaS comprises two parts, namely data management and a data model. And the platform layer PaaS performs data management by depending on the operation and maintenance real-time database. The operation and maintenance real-time database comprises a product design knowledge base, a reliability database, a historical fault database and a product maintenance knowledge base. The data model comprises a DCS hardware health model, a DCS software health model, a fault comprehensive diagnosis model, a fault cause positioning model, a fault influence deduction model and a reliability statistical analysis model. And acquiring the health state of the intelligent DCS by using the operation and maintenance real-time database and the data model based on the received key health parameters.
And the application layer SaaS is used for providing intelligent operation and maintenance service according to the health state of the intelligent DCS. The intelligent operation and maintenance service at least comprises the steps of panoramic monitoring of health parameters, abnormal detection of health states, fault positioning and analysis, maintenance suggestion and guidance and closed-loop management of product reliability. The terminal layer indicates that the intelligent platform supports multiple terminal types and is compatible with multiple operating systems.
In addition, the whole intelligent operation and maintenance service support system follows the operation and maintenance technical standard and the safety design standard.
The intelligent operation and maintenance service system of the nuclear power station intelligent DCS provided by the embodiment of the application provides intelligent operation and maintenance service for the intelligent DCS with high complexity. The health state of hardware in the intelligent DCS can be monitored, and the health state of software in the intelligent DCS can also be monitored. And the mode of combining online acquisition with offline acquisition and the mode of combining online transmission with offline transmission are adopted, so that the technical realizability is improved. Meanwhile, the influence of collecting and transmitting key health parameters on the original functions of the intelligent DCS is reduced to the maximum extent by utilizing a sufficient independent design means.
It should be noted that, in the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. The method disclosed by the embodiment corresponds to the system disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the system part for description.
It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An intelligent operation and maintenance service system, characterized in that the system comprises: the intelligent distributed control system DCS comprises an intelligent gateway and an intelligent platform; a DCS health model system is deployed in the intelligent platform;
the intelligent DCS is used for unidirectionally transmitting key health parameters to the intelligent gateway through the health parameter network port; the key health parameters comprise key hardware health parameters and key software health parameters; the key hardware health parameters are used for monitoring the health state of hardware in the intelligent DCS, and the key software health parameters are used for monitoring the health state of software in the intelligent DCS;
the intelligent gateway is used for receiving the key health parameters sent by the intelligent DCS and sending the key health parameters to the intelligent platform;
the intelligent platform is used for receiving the key health parameters sent by the intelligent gateway; the DCS health model system is used for simulating the intelligent DCS, carrying out health analysis and processing on the intelligent DCS based on the key health parameters and providing intelligent operation and maintenance service.
2. The system of claim 1, wherein the intelligent DCS comprises an acquisition module; the acquisition module comprises a hardware acquisition module and a software acquisition module;
the acquisition module is used for acquiring the key health parameters;
the hardware acquisition module is used for acquiring key hardware health parameters in the intelligent DCS; the hardware acquisition module and the target hardware in the intelligent DCS have the same design standard;
the software acquisition module is used for acquiring key software health parameters in the intelligent DCS; the software acquisition module and the target software in the intelligent DCS have the same design standard;
and when the hardware acquisition module or the software acquisition module fails, the target hardware and the target software in the intelligent DCS work normally.
3. The system of claim 1, wherein the intelligent DCS comprises an acquisition module;
the acquisition module is used for acquiring key health parameters in an online mode when a first acquisition condition is met, and acquiring the key health parameters in an offline mode when a second acquisition condition is met.
4. The system of claim 1, wherein the intelligent DCS is configured to maintain a network based on health parameters via a health parameter network port and transmit the key health parameters to the intelligent gateway in an online transmission manner when a first transmission condition is satisfied;
and the intelligent DCS is used for transmitting the key health parameters to the intelligent gateway in an off-line transmission mode when a second transmission condition is met.
5. The system of claim 1, wherein the intelligent DCS includes at least a control station, a server, and an operator station;
the control station is deployed in an electric room, the server is deployed in the electric room, and the operator station is deployed in a main control room.
6. The system of claim 5, wherein the key health parameters include control station key health parameters, server key health parameters, and operator station key health parameters;
the key health parameters of the control station comprise key hardware health parameters of the control station and key software health parameters of the control station;
the key hardware health parameters include the control station key hardware health parameters, server key hardware health parameters, and operator station hardware key health parameters.
7. The system of claim 1, wherein the intelligent gateway comprises a first intelligent gateway and a second intelligent gateway;
the first intelligent gateway is used for receiving the key health parameters of the control station sent by the control station;
the second intelligent gateway is used for receiving the server key health parameters sent by the server, the operator station key health parameters sent by the operator station and the control station key health parameters sent by the first intelligent gateway, and sending the key health parameters to the intelligent platform.
8. The system of claim 1, wherein the intelligent gateway is configured to send the key health parameters to the intelligent platform in an online transmission manner when a third transmission condition is met;
and the intelligent gateway is used for sending the key health parameters to the intelligent platform in an off-line transmission mode when a fourth transmission condition is met.
9. The system of claim 1, wherein the intelligent gateway is configured to obtain a secondary key health parameter based on the key health parameter, and send the key health parameter and the secondary key health parameter to the intelligent platform as updated key health parameters.
10. The system of claim 1, wherein the smart platform comprises a base layer, a platform layer, and an application layer; the application layer is used for providing the intelligent operation and maintenance service;
the intelligent operation and maintenance service at least comprises the steps of health parameter panoramic monitoring, health state assessment and prediction, fault positioning and analysis, maintenance suggestion and guidance and reliability data closed-loop management.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104412247A (en) * | 2012-07-24 | 2015-03-11 | 通用电气公司 | Systems and methods for improving control system reliability |
| CN107767056A (en) * | 2017-10-25 | 2018-03-06 | 上海电气上重碾磨特装设备有限公司 | A kind of condition monitoring for power station coal pulverizer with it is health management system arranged |
| CN109034521A (en) * | 2018-06-07 | 2018-12-18 | 国电南瑞科技股份有限公司 | A kind of intelligent O&M architecture design method of dispatching of power netwoks control system |
| CN111629043A (en) * | 2020-05-21 | 2020-09-04 | 北京计算机技术及应用研究所 | Cross-platform health management system based on cloud mode |
| CN112506169A (en) * | 2020-11-20 | 2021-03-16 | 江苏核电有限公司 | DCS real-time health degree assessment method based on state supervision |
| US20210136035A1 (en) * | 2019-11-06 | 2021-05-06 | Fisher-Rosemount Systems, Inc. | Field device loop warning parameter change smart notification |
| CN113190886A (en) * | 2021-04-28 | 2021-07-30 | 青岛赛普克有限元科技发展有限公司 | Equipment health monitoring method based on rapid simulation digital twinning technology |
-
2021
- 2021-09-10 CN CN202111064261.6A patent/CN113759849A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104412247A (en) * | 2012-07-24 | 2015-03-11 | 通用电气公司 | Systems and methods for improving control system reliability |
| CN107767056A (en) * | 2017-10-25 | 2018-03-06 | 上海电气上重碾磨特装设备有限公司 | A kind of condition monitoring for power station coal pulverizer with it is health management system arranged |
| CN109034521A (en) * | 2018-06-07 | 2018-12-18 | 国电南瑞科技股份有限公司 | A kind of intelligent O&M architecture design method of dispatching of power netwoks control system |
| US20210136035A1 (en) * | 2019-11-06 | 2021-05-06 | Fisher-Rosemount Systems, Inc. | Field device loop warning parameter change smart notification |
| CN111629043A (en) * | 2020-05-21 | 2020-09-04 | 北京计算机技术及应用研究所 | Cross-platform health management system based on cloud mode |
| CN112506169A (en) * | 2020-11-20 | 2021-03-16 | 江苏核电有限公司 | DCS real-time health degree assessment method based on state supervision |
| CN113190886A (en) * | 2021-04-28 | 2021-07-30 | 青岛赛普克有限元科技发展有限公司 | Equipment health monitoring method based on rapid simulation digital twinning technology |
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