CN117151685A - Modeling method and device for unavailable analysis of information monitoring system - Google Patents

Abstract

The invention discloses a modeling method and a modeling device for unavailable analysis of an information monitoring system, wherein the method comprises the following steps: analyzing the topological structure of the information monitoring system, and acquiring the equipment information of the physical equipment in the topological structure; determining a data flow path of data service in the information monitoring system according to the equipment information; generating a data flow chart of the information monitoring system according to the data flow path; generating an unavailable analysis modeling physical icon set and an unavailable analysis modeling icon algorithm set according to the equipment information; an unavailable analytical dynamic model of the information monitoring system is generated from the dataflow graph, the unavailable analytical modeling physical icon set, and the unavailable analytical modeling icon algorithm set. The method and the device can realize one-to-one correspondence between the dynamic model and the actual physical structure, not only cover the whole types of data flow in the system, but also cover the whole range of equipment in the system, facilitate more comprehensive analysis of unavailability of the system, and have stronger reliability.

Description

Modeling method and device for unavailable analysis of information monitoring system

Technical Field

The invention relates to the technical field of monitoring of a meter control system, in particular to a modeling method and device for unavailable analysis of an information monitoring system.

Background

The computer information and control system of the nuclear power plant is the most important man-machine interface system on which the nuclear power plant operates, but the analysis method related to the unavailability of the system in the prior art has a plurality of limitations:

1) FMEA (Failure Mode and Effects Analysis, failure mode and impact analysis) in the prior art focuses on only a single device, and cannot cover multiple devices while not being available;

2) The reliability quantitative analysis method often simplifies the complex system structure into a simple serial-parallel structure, and the analysis result is too ideal and seriously deviates from the reality;

3) The reliability modeling method based on the functions needs to be separated from the physical structure, a set of functional structure model is re-established, errors are not easy to identify, and the accuracy of analysis results is difficult to judge;

4) The availability test method performs the test by calculating the effective equipment failure time during the commissioning phase, time delays, and if the test fails, it is difficult to implement improvement because the design has solidified.

The prior patent CN113935191a discloses a method, a device and equipment for constructing and analyzing a functional failure analysis model of equipment, and the method for constructing the model comprises the following steps: basic data of the equipment is obtained, the basic data is analyzed to obtain functional relations of all levels of the equipment, functions and corresponding failure modes of the equipment of all levels are determined based on the functional relations of all levels of the equipment, influence relations of the failure modes of all levels and adjacent levels are determined, and an equipment functional failure analysis model is built based on the functions and corresponding failure modes of the equipment of all levels and the influence relations of the failure modes of all levels and the adjacent levels. The model construction method proposed in the patent is a function-based reliability modeling method, and needs to be separated from a physical structure to reestablish a set of functional structure model, so that errors are not easy to identify, and the accuracy of an analysis result is difficult to judge.

The prior patent CN116360358A discloses a modeling method and device of a model of a meter control system and a reliability analysis method and system of the meter control system, wherein the method comprises the following steps: establishing module components of the instrument control system in a graphical mode, and establishing propagation paths of failure influences among the module components; and establishing an association relation between failure logic and failure influence in the module assembly in a graphical mode to obtain the instrument control system model with the reliability factors. The method simplifies the system structure based on failure influence, establishes a simplified module assembly and a simplified system model, and finally obtains a meter control system model which has no one-to-one correspondence with an actual system, and can not directly and accurately position the failure assembly so as to perform reliability analysis.

In summary, the above-mentioned prior art patents do not solve the problems of small coverage dimension, oversimplification of structure and separation from physical structure in the prior art that the related analysis method is not available in the system.

Disclosure of Invention

Based on the technical problems, the invention provides a modeling method and a modeling device for unavailable analysis of an information monitoring system, and solves the problems of small coverage dimension, over-simplified structure and separation from a physical structure of the unavailable analysis method in the prior art.

In order to achieve the above object, the present invention provides a modeling method for unavailable analysis of an information monitoring system, comprising:

analyzing the topological structure of the information monitoring system, and acquiring the equipment information of the physical equipment in the topological structure;

determining a data flow path of data service in the information monitoring system according to the equipment information;

generating a data flow chart of the information monitoring system according to the data flow path;

generating an unavailable analysis modeling physical icon set and an unavailable analysis modeling icon algorithm set according to the equipment information;

an unavailable analytical dynamic model of the information monitoring system is generated from the dataflow graph, the unavailable analytical modeling physical icon set, and the unavailable analytical modeling icon algorithm set.

Further, determining a data flow path of the data service in the information monitoring system according to the equipment information comprises the following steps:

determining the function of the physical device in the topology structure according to the device information;

determining data services related to the physical equipment according to the functions;

and generating a corresponding data flow path according to the data service.

Further, generating a data flow chart of the information monitoring system according to the data flow path, including:

acquiring a starting point device, a flowing device and an end point device in a data flow path;

and determining a data flow direction according to the starting point device, the flow-through device and the end point device, and determining a data flow chart of a corresponding type according to the data flow direction.

Further, the types of data flow map include: the equipment operation, data display and management need no data secondary processing, data display and management need calculation server secondary processing, data display and management need regulation server secondary processing, data display and management history data.

Further, generating an unavailable analytical modeling physical icon set from the device information, comprising:

the equipment information comprises equipment types, and physical icons corresponding to the physical equipment are created according to the equipment types;

determining the use state of the physical equipment and marking the use state of the physical icon;

attribute information defining a physical icon, the attribute information including a name, a number, a cause of unavailability of the physical device, and remark information.

Further, generating a set of unavailable analytical modeling icon algorithms from the device information, comprising:

analyzing the unavailable reasons of the physical equipment of each equipment type, and taking the unavailable reasons as algorithm input;

outputting the use state of the physical equipment as an algorithm;

and dynamically associating the algorithm input, the algorithm output and the physical icon by using the configuration.

Further, generating an unavailable analytical dynamic model of the information monitoring system from the dataflow graph, the unavailable analytical modeling physical icon set, and the unavailable analytical modeling icon algorithm set, including:

generating a static model of the information monitoring system according to the data flow chart and the unavailable analysis modeling physical chart symbol set;

and deducing and dynamically tracing the static model by utilizing the unavailable analysis modeling icon algorithm set to generate an unavailable analysis dynamic model of the information monitoring system.

In order to achieve the same purpose as the method, the invention also provides a modeling device for unavailable analysis of the information monitoring system, which comprises the following components:

the analysis module is used for analyzing the topological structure of the information monitoring system and acquiring the equipment information of the physical equipment in the topological structure;

the determining module is used for determining a data flow path of the data service in the information monitoring system according to the equipment information;

the first generation module is used for generating a data flow chart of the information monitoring system according to the data flow path;

the second generation module is used for generating an unavailable analysis modeling physical icon set and an unavailable analysis modeling icon algorithm set according to the equipment information;

and the third generation module is used for generating an unavailable analysis dynamic model of the information monitoring system according to the data flow chart, the unavailable analysis modeling physical icon set and the unavailable analysis modeling icon algorithm set.

Further, the determining module is used for:

determining the function of the physical device in the topology structure according to the device information;

determining data services related to the physical equipment according to the functions;

and generating a corresponding data flow path according to the data service.

Further, the first generation module is used for:

acquiring a starting point device, a flowing device and an end point device in a data flow path;

and determining a data flow direction according to the starting point device, the flow-through device and the end point device, and determining a data flow chart of a corresponding type according to the data flow direction.

Further, the types of data flow map include: the equipment operation, data display and management need no data secondary processing, data display and management need calculation server secondary processing, data display and management need regulation server secondary processing, data display and management history data.

Further, the second generation module is used for:

the equipment information comprises equipment types, and physical icons corresponding to the physical equipment are created according to the equipment types;

determining the use state of the physical equipment and marking the use state of the physical icon;

attribute information defining a physical icon, the attribute information including a name, a number, a cause of unavailability of the physical device, and remark information.

Further, the second generation module is used for:

analyzing the unavailable reasons of the physical equipment of each equipment type, and taking the unavailable reasons as algorithm input;

outputting the use state of the physical equipment as an algorithm;

and dynamically associating the algorithm input, the algorithm output and the physical icon by using the configuration.

Further, a third generating module is configured to:

generating a static model of the information monitoring system according to the data flow chart and the unavailable analysis modeling physical chart symbol set;

and deducing and dynamically tracing the static model by utilizing the unavailable analysis modeling icon algorithm set to generate an unavailable analysis dynamic model of the information monitoring system.

Based on the technical scheme, the modeling method and the modeling device for the unavailable analysis of the information monitoring system provided by the invention have the following beneficial effects:

1. the invention determines the data circulation path of the data service in the information monitoring system through the equipment information, dynamically correlates and transmits the unavailability of the system and the unavailability of the physical equipment through graphical configuration modeling, and corresponds to the actual physical structure one by one, thereby not only covering the whole types of the data circulation in the system, but also covering the whole range of the equipment in the system, being convenient for more comprehensively analyzing the unavailability of the system and having stronger reliability.

2. According to the method, the unavailable analysis physical icon and the unavailable analysis icon algorithm are dynamically associated and transmitted through graphical configuration modeling, and an unavailable analysis full-range dynamic model of the information monitoring system is generated by combining data flow mapping, so that the use state of the physical equipment can be intuitively reflected through the dynamic model, and the cause of the unavailable physical equipment caused by the internal unavailable analysis icon algorithm is conveniently and rapidly positioned, so that fault tracing or system unavailable judgment is carried out.

3. The information monitoring system generated by the invention can be used for analyzing the full-range dynamic model, and can be used as a principle model to realize accurate analysis of unavailable dynamic deduction transfer, unavailable dynamic tracing, automatic fault tree conversion, automatic FMEA conversion, automatic calculation reliability and the like of different scenes.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:

FIG. 1 is a flow chart of a modeling method for an information monitoring system unavailability analysis according to one embodiment of the invention;

FIG. 2 is a schematic diagram of the physical structure of a computer information and control system of a nuclear power plant according to an embodiment of the present invention;

FIG. 3 is a flow chart of determining a data flow path for a data service in an information monitoring system based on device information in accordance with one embodiment of the present invention;

FIG. 4 is a diagram illustrating the correspondence between physical devices, data services, and data flow classifications in accordance with an embodiment of the present invention;

FIG. 5 is a data flow diagram corresponding to the operation of the device according to an embodiment of the present invention;

FIG. 6 is a diagram illustrating data flow corresponding to data display and management of data secondary processing according to an embodiment of the present invention;

FIG. 7 is a data flow chart corresponding to the secondary processing of the data display and management calculation/procedure server according to an embodiment of the present invention;

FIG. 8 is a data flow chart corresponding to data display and management history data in an embodiment of the present invention;

FIG. 9 is a flow diagram of generating a set of unavailable analytical modeling physical icons from device information in accordance with one embodiment of the present invention;

FIG. 10 is a diagram of an unavailable analytical modeling physical icon and corresponding icon algorithm set generated from server, switch, display, keyboard, mouse, trackball device information in one embodiment of the invention;

FIG. 11 is a diagram of an unavailable analytical modeling physical icon and corresponding icon algorithm set generated from host, operator station device information in accordance with one embodiment of the present invention;

FIG. 12 is a flow chart of an algorithm set for generating unavailable analytical modeling icons based on device information in accordance with one embodiment of the present invention;

FIG. 13 is a dynamic model of an information monitoring system unavailability analysis in accordance with one embodiment of the present invention;

FIG. 14 is a schematic diagram of a modeling apparatus for analysis of unavailability of an information monitoring system according to one embodiment of the invention.

Detailed Description

It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.

The invention is described in further detail below in connection with specific examples which are not to be construed as limiting the scope of the invention as claimed.

Examples

In order to achieve the above purpose, the present invention provides a modeling method and apparatus for unavailable analysis of an information monitoring system.

A flow chart of a modeling method for analysis of unavailability of an information monitoring system according to one embodiment of the present invention is shown in fig. 1, and the flow mainly includes the following sub-steps:

s1, analyzing the topological structure of the information monitoring system, and acquiring the equipment information of the physical equipment in the topological structure.

A schematic diagram of the physical structure of the computer information and control system of the nuclear power plant in one embodiment of the present invention is shown in fig. 2, where the physical structure includes a topology, a processing device, and a man-machine interface terminal.

By analyzing the topology of the information monitoring system in fig. 2, device information of relevant physical devices in the topology can be obtained, wherein the device information includes device types and device numbers. In particular, the topology mainly relates to 3 types of physical devices of servers, switches and operator stations, wherein the processing device server comprises: 2 communication servers, 2 calculation servers, 2 history servers and 2 procedure servers; the human interface terminals, i.e. the operator stations, are complete sets of equipment, each set of operator stations comprising 6 displays, 1 host computer, 1 keyboard, 1 mouse and 1 trackball.

S2, determining a data flow path of the data service in the information monitoring system according to the equipment information.

As shown in fig. 3, determining a data flow path of a data service in an information monitoring system according to equipment information specifically includes the following sub-steps:

s201, determining the functions of the physical devices in the topological structure according to the device information.

S202, determining data services related to the physical equipment according to the functions.

S203, corresponding data flow paths are generated according to the data service.

Taking the operator station in the above specific embodiment as an example, the operator station is used for device operation and data display in a topology structure, and according to the two functions, it can be determined that the operator station is used for providing a data service for device operation and data display, so that a data flow path corresponding to the data service can be generated.

For another example, the computing server is configured to provide data services to a management module that needs to perform data processing. Specifically, the management module that needs to perform data processing includes:

and the alarm management module is used for notifying an operator through color change, lamplight flashing or sound based on the data service provided by the computing server and providing abnormal information for the operator.

And the trend management module is used for providing the change trend of any operation data in a period of time for operators based on the data service provided by the computing server.

And the listing management module is used for carrying out listing operation and display on the equipment by operators or operation and maintenance personnel according to the requirements of power plant operation isolation, overhaul, test and the like based on the data service provided by the calculation server.

And the calculation module is used for carrying out complex calculation on data which cannot be directly measured by the sensor and has great significance on operation based on data services provided by the calculation server.

The fault monitoring module is used for diagnosing the states of all hardware devices in the monitoring system in real time based on the data service provided by the computing server, monitoring the CPU load, the memory utilization rate, the system service task state and the like of all machines, and supporting operation and maintenance personnel to analyze faults.

Based on the data service provided by the computing server to the management module, a data flow path corresponding to the data service can be generated.

The system data flow classification can be determined by traversing the data flow paths of all the data services, so as to obtain a corresponding relation diagram of the physical equipment, the data services and the data flow classification as shown in fig. 4.

Further, the types of data streams include: the equipment operation, data display and management need no data secondary processing, data display and management need calculation server secondary processing, data display and management need regulation server secondary processing, data display and management history data.

Wherein, the data display and management data secondary processing means that the data corresponding to the data display and management data is not subjected to secondary processing in the circulation path; the secondary processing of the data display and management server to be calculated means that the data corresponding to the type needs to be processed by the secondary processing of the calculation server in the flow path; the data display and management need to be processed secondarily by the procedure server means that the data corresponding to the type need to be processed secondarily by the procedure server in a circulation path; data display and management history data refers to display and storage management of history data.

And S3, generating a data flow chart of the information monitoring system according to the data flow path.

Specifically, the method comprises the following steps:

first, a start point device, a flow-through device, and an end point device in a data flow path are acquired.

For example, the starting point device in the data circulation path corresponding to the operation and data display of the device in the data service is an operator station, the flowing device comprises a switch, a communication server and a switch, and the end point device is a DCS one-layer network.

And secondly, determining a data flow direction according to the starting point equipment, the flow-through equipment and the end point equipment, and determining a data flow transfer diagram of a corresponding type according to the data flow direction.

As shown in fig. 5 to 8, the data flow graphs corresponding to the different data flow types in the above embodiment are shown, and it should be noted that, in fig. 7, the data flow graphs corresponding to the secondary processing of the data display and management computing server and the secondary processing of the data display and management requiring protocol server are combined into one data flow graph for display. The concrete explanation is as follows:

in fig. 5 it can be seen that the data flow corresponding to the operation of the device is: the data output from the operator station is transmitted to the DCS one-layer network after passing through the exchanger, the communication server and the exchanger.

As shown in fig. 6, the data flow corresponding to the data display and management data secondary processing is: the output from the DCS layer network is transmitted to the operator station after passing through the exchanger, the communication server and the exchanger.

As shown in fig. 7, the data flow corresponding to the secondary processing of the data display and management calculation server/procedure server is as follows: the DCS one-layer network output is input to an operator station after passing through a switch, a communication server, a switch, a calculation server/procedure server, the switch, the communication server and the switch.

As shown in fig. 8, the data flow corresponding to the data display and management history data is: after being output from a DCS layer network and passing through the switch, the communication server and the switch, the DCS layer network can directly flow through the history server according to the data application requirements and then is transmitted to an operator station through the switch; or flows through the calculation/procedure server, the switch, the communication server and the switch and then flows through the history server, and finally is transmitted to the operator station through the switch.

And S4, generating an unavailable analysis modeling physical icon set and an unavailable analysis modeling icon algorithm set according to the equipment information.

As shown in fig. 9, generating the unavailable analytical modeling physical icon set from the device information includes the steps of:

s401, creating a physical icon corresponding to the physical device according to the device type.

The above embodiments share 3 static physical icons of servers, switches, and operator stations. It should be noted that the operator station is a group device in which the display, the host, the keyboard, the mouse, and the trackball do not exist alone, but a static physical icon, that is, a total of 8 static physical icons, needs to be created.

S402, determining the use state of the physical device and marking the use state of the physical icon.

Specifically, the use states of the physical device include an unavailable state and an available state, and the use states of the physical icons can be marked according to the use states of the physical device, specifically the unavailable state and the available state. Wherein the unavailable state is represented by red, and the available state is represented by green. It should be noted that the output lines need to be displayed synchronously in red when the physical device is not available, and the output lines need to be displayed synchronously in green when the physical device is available.

S403, defining attribute information of the physical icon.

Specifically, the attribute information includes the name, number, cause of unavailability of the physical device, and remark information.

The set of unavailable analytical modeling physical icons generated from device information is shown in fig. 10 and 11.

Further, as shown in fig. 12, generating a set of unavailable analytical modeling icon algorithms from device information includes the sub-steps of:

s410, analyzing the unavailable reasons of the physical devices of each device type, and inputting the unavailable reasons as an algorithm.

Also shown in fig. 10 and 11 is a set of unavailable analysis modeling icon algorithms generated from device information in one embodiment of the invention. Taking the generation process of the server icon algorithm in fig. 10 as an example, the reasons for the server not being available include that the power source 1 is not available, the power source 2 is not available, the network 1 is not available, the network 2 is not available, the hard disk is not available, the main board is not available, and the operating system is not available and the application program is not available, so that the reasons for the server not being available can be taken as the input of the server icon algorithm.

S411 outputs the use state of the physical device as an algorithm.

For example, server unavailable/available, switch unavailable/available, display unavailable/available, keyboard unavailable/available, mouse unavailable/available, trackball unavailable/available, host unavailable and operator station unavailable/available, the unavailable or available status of the physical device can be used as the output of the algorithm.

S412, dynamically associating the algorithm input, the algorithm output and the physical icon by using the configuration.

It should be understood that the inputs and outputs of the algorithm obtained in step S410 and this step are both defined as boolean data. The algorithm input, algorithm output and physical icon are dynamically associated by and, or, not, voting the internal algorithm.

S5, generating an unavailable analysis dynamic model of the information monitoring system according to the data flow chart, the unavailable analysis modeling physical icon set and the unavailable analysis modeling icon algorithm set.

The method specifically comprises the following two sub-steps:

firstly, a static model of the information monitoring system is generated according to the data flow chart and the unavailable analysis modeling physical chart symbol set.

And secondly, deducing and dynamically tracing the static model by utilizing an unavailable analysis modeling icon algorithm set to generate an unavailable analysis dynamic model of the information monitoring system.

FIG. 13 is a dynamic model of an unavailable analysis of an information monitoring system according to an embodiment of the present invention, when a physical device is displayed in green, the physical device is indicated to be in an available state, and when the physical device is displayed in red, the physical device is indicated to be in an unavailable state, on the one hand, the reason that the physical device is unavailable can be checked by clicking the physical device, so that an engineer can perform fault repair in time; on the other hand, according to the logic calculation in the model, it can be known that the unavailability of one or more physical devices may cause a certain data transfer type to fail, and the failure is prompted by the indicator light, so that an engineering person can analyze the reliability of the functions and data in the current system on the whole according to the failure type. Specifically:

when the operation unavailability/data display and management unavailability of the equipment and the data secondary treatment are known according to the logic calculation and the indication lamp prompt in the model, the operation of the information monitoring system can be directly affected, all operators in the main control room of the nuclear power station are required to be transferred to a backup disc (BUP) for subsequent monitoring and operation by a computerized man-machine interface terminal as soon as possible according to the current fault, and maintenance personnel are required to repair related unavailable equipment in the information monitoring system as soon as possible.

When the data display and management are not available and the calculation server is required to perform secondary processing according to the logic calculation and indication lights inside the model, the equipment operation is available, but because the relevant service provided by the calculation server is not available, namely, alarm management and trend management which operators must have at any time are not available in fig. 4, in this case, all operators of the nuclear power plant main control room should be transferred to a backup disc (BUP) by a computerized man-machine interface terminal as soon as possible for subsequent monitoring and operation, and maintenance personnel should repair relevant unavailable equipment in the information monitoring system as soon as possible.

When the data display and management are informed to be unavailable and the procedure server is required to carry out secondary processing according to the logic calculation and the indication lamp prompt in the model, the operator can select paper procedures to replace, so that the normal operation of the information monitoring system is not directly affected under the condition, the operator of the main control room of the nuclear power station does not need to be withdrawn to the backup disc BUP, and maintenance personnel are required to repair related unavailable equipment as soon as possible.

When the unavailable historical data is displayed and managed according to the logic calculation and the indication lamp prompt in the model, the storage and the calling of the historical data are only affected under the condition, and the normal operation of the information monitoring system is not affected, so that operators in the main control room of the nuclear power station do not need to be retracted to the backup disc BUP, and maintenance personnel are required to repair related unavailable equipment as soon as possible.

In order to achieve the same purpose as the method, the invention also provides a modeling device for the unavailable analysis of the information monitoring system.

FIG. 14 is a schematic diagram of a modeling apparatus for analysis of unavailability of an information monitoring system according to one embodiment of the present invention, where the modeling apparatus includes an analysis module 141, a determination module 142, a first generation module 143, a second generation module 144, and a third generation module 145. The following describes the corresponding content and functions around the above modules in detail, wherein:

the analyzing module 141 is configured to analyze the topology structure of the information monitoring system, and obtain device information of the physical devices in the topology structure.

A determining module 142, configured to determine a data flow path of the data service in the information monitoring system according to the device information.

Further, the determining module 142 is specifically configured to:

and determining the functions of the physical devices in the topology structure according to the device information.

The data services to which the physical device relates are determined from the functions.

And generating a corresponding data flow path according to the data service.

The first generating module 143 is configured to generate a data flow chart of the information monitoring system according to the data flow path.

Further, the first generating module 143 is specifically configured to:

and acquiring a starting point device, a flow-through device and an end point device in the data flow path.

And determining a data flow direction according to the starting point device, the flow-through device and the end point device, and determining a data flow chart of a corresponding type according to the data flow direction.

Further, the types of data flow map include: the equipment operation, data display and management need no data secondary processing, data display and management need calculation server secondary processing, data display and management need regulation server secondary processing, data display and management history data.

The second generating module 144 is configured to generate a set of unavailable analysis modeling physical icons and a set of unavailable analysis modeling icon algorithms according to the device information.

Further, the second generating module 144 is specifically configured to:

the device information comprises a device type, and a physical icon corresponding to the physical device is created according to the device type.

And determining the use state of the physical equipment and marking the use state of the physical icon.

Attribute information defining a physical icon, the attribute information including a name, a number, a cause of unavailability of the physical device, and remark information.

Further, the second generating module 144 is specifically configured to:

the reasons for unavailability of the physical devices for each device type are parsed and used as algorithmic inputs.

The use state of the physical device is output as an algorithm.

And dynamically associating the algorithm input, the algorithm output and the physical icon by using the configuration.

A third generating module 145 is configured to generate an unavailable analysis dynamic model of the information monitoring system according to the data flow graph, the unavailable analysis modeling physical icon set and the unavailable analysis modeling icon algorithm set.

Further, the third generating module 145 is specifically configured to:

and generating a static model of the information monitoring system according to the data flow chart and the unavailable analysis modeling physical icon set.

And deducing and dynamically tracing the static model by utilizing the unavailable analysis modeling icon algorithm set to generate an unavailable analysis dynamic model of the information monitoring system.

It should be understood that, the modeling apparatus for the unavailable analysis of the information monitoring system is consistent with the modeling method for the unavailable analysis of the information monitoring system, which is corresponding to the modeling apparatus, so that the description of the embodiment is omitted.

In summary, as can be seen from the above description, the above embodiments of the present invention achieve the following technical effects:

1. the invention determines the data circulation path of the data service in the information monitoring system through the equipment information, dynamically correlates and transmits the unavailability of the system and the unavailability of the physical equipment through graphical configuration modeling, and corresponds to the actual physical structure one by one, thereby not only covering the whole types of the data circulation in the system, but also covering the whole range of the equipment in the system, being convenient for more comprehensively analyzing the unavailability of the system and having stronger reliability.

2. According to the method, the unavailable analysis physical icon and the unavailable analysis icon algorithm are dynamically associated and transmitted through graphical configuration modeling, and an unavailable analysis full-range dynamic model of the information monitoring system is generated by combining data flow mapping, so that the use state of the physical equipment can be intuitively reflected through the dynamic model, and the cause of the unavailable physical equipment caused by the internal unavailable analysis icon algorithm is conveniently and rapidly positioned, so that fault tracing or system unavailable judgment is carried out.

3. The information monitoring system generated by the invention can be used for analyzing the full-range dynamic model, and can be used as a principle model to realize accurate analysis of unavailable dynamic deduction transfer, unavailable dynamic tracing, automatic fault tree conversion, automatic FMEA conversion, automatic calculation reliability and the like of different scenes.

The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.

It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

It should be noted that in the description of the present specification, descriptions of terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.

Claims (14)

1. A modeling method for an information monitoring system unavailability analysis, comprising:

analyzing the topological structure of an information monitoring system, and acquiring the equipment information of physical equipment in the topological structure;

determining a data flow path of a data service in the information monitoring system according to the equipment information;

generating a data flow chart of the information monitoring system according to the data flow path;

generating an unavailable analysis modeling physical icon set and an unavailable analysis modeling icon algorithm set according to the equipment information;

and generating an unavailable analysis dynamic model of the information monitoring system according to the data flow diagram, the unavailable analysis modeling physical icon set and the unavailable analysis modeling icon algorithm set.

2. The method of claim 1, wherein determining a data flow path for a data service in the information monitoring system based on the device information comprises:

determining the function of the physical device in the topological structure according to the device information;

determining data services related to the physical equipment according to the functions;

and generating a corresponding data flow path according to the data service.

3. The method of claim 1, wherein generating a data flow graph of the information monitoring system from the data flow path comprises:

acquiring starting point equipment, flow-through equipment and end point equipment in the data flow path;

and determining a data flow direction according to the starting point equipment, the flow-through equipment and the end point equipment, and determining a data flow chart of a corresponding type according to the data flow direction.

4. A method according to claim 3, wherein the type of data flow graph comprises: the equipment operation, data display and management need no data secondary processing, data display and management need calculation server secondary processing, data display and management need regulation server secondary processing, data display and management history data.

5. The method of claim 1, wherein generating a set of unavailable analytical modeling physical icons from the device information comprises:

the equipment information comprises equipment types, and physical icons corresponding to the physical equipment are created according to the equipment types;

determining the use state of the physical equipment and marking the use state of the physical icon;

and defining attribute information of the physical icon, wherein the attribute information comprises a name, a number, a device unavailable reason and remark information of the physical device.

6. The method of claim 5, wherein generating a set of unavailable analytical modeling icon algorithms from the device information comprises:

resolving the unavailable reasons of the physical equipment of each equipment type, and inputting the unavailable reasons as an algorithm;

outputting the use state of the physical equipment as an algorithm;

and dynamically associating the algorithm input, the algorithm output and the physical icon by using configuration.

7. The method of claim 1, wherein generating an unavailable analytical dynamic model of the information monitoring system from the data flow graph, the unavailable analytical modeling physical icon set, and the unavailable analytical modeling icon algorithm set comprises:

generating a static model of the information monitoring system according to the data flow diagram and the unavailable analysis modeling physical icon set;

and carrying out deduction and dynamic tracing on the static model by using the unavailable analysis modeling icon algorithm set so as to generate an unavailable analysis dynamic model of the information monitoring system.

8. A modeling apparatus for analysis of unavailability of an information monitoring system, comprising:

the analysis module is used for analyzing the topological structure of the information monitoring system and acquiring the equipment information of the physical equipment in the topological structure;

the determining module is used for determining a data flow path of the data service in the information monitoring system according to the equipment information;

the first generation module is used for generating a data flow chart of the information monitoring system according to the data flow path;

the second generation module is used for generating an unavailable analysis modeling physical icon set and an unavailable analysis modeling icon algorithm set according to the equipment information;

and the third generation module is used for generating an unavailable analysis dynamic model of the information monitoring system according to the data flow chart, the unavailable analysis modeling physical icon set and the unavailable analysis modeling icon algorithm set.

9. The apparatus of claim 8, wherein the means for determining is configured to:

determining the function of the physical device in the topological structure according to the device information;

determining data services related to the physical equipment according to the functions;

and generating a corresponding data flow path according to the data service.

10. The apparatus of claim 8, wherein the first generation module is configured to:

acquiring starting point equipment, flow-through equipment and end point equipment in the data flow path;

and determining a data flow direction according to the starting point equipment, the flow-through equipment and the end point equipment, and determining a data flow chart of a corresponding type according to the data flow direction.

11. The apparatus of claim 10, wherein the type of data flow graph comprises: the equipment operation, data display and management need no data secondary processing, data display and management need calculation server secondary processing, data display and management need regulation server secondary processing, data display and management history data.

12. The apparatus of claim 8, wherein the second generation module is configured to:

the equipment information comprises equipment types, and physical icons corresponding to the physical equipment are created according to the equipment types;

determining the use state of the physical equipment and marking the use state of the physical icon;

and defining attribute information of the physical icon, wherein the attribute information comprises a name, a number, a device unavailable reason and remark information of the physical device.

13. The apparatus of claim 12, wherein the second generation module is configured to:

resolving the unavailable reasons of the physical equipment of each equipment type, and inputting the unavailable reasons as an algorithm;

outputting the use state of the physical equipment as an algorithm;

and dynamically associating the algorithm input, the algorithm output and the physical icon by using configuration.

14. The apparatus of claim 8, wherein the third generation module is configured to:

generating a static model of the information monitoring system according to the data flow diagram and the unavailable analysis modeling physical icon set;

and carrying out deduction and dynamic tracing on the static model by using the unavailable analysis modeling icon algorithm set so as to generate an unavailable analysis dynamic model of the information monitoring system.