CN113347060B - Method, device and system for detecting power network fault based on process automation - Google Patents
Method, device and system for detecting power network fault based on process automation Download PDFInfo
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- CN113347060B CN113347060B CN202110586540.2A CN202110586540A CN113347060B CN 113347060 B CN113347060 B CN 113347060B CN 202110586540 A CN202110586540 A CN 202110586540A CN 113347060 B CN113347060 B CN 113347060B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
- H04L43/045—Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/083—Network architectures or network communication protocols for network security for authentication of entities using passwords
Abstract
The invention discloses a method, a device and a system for detecting a power network fault based on process automation, wherein the method comprises the following steps: presetting a network fault detection flow which covers all equipment in a network; splitting the steps in the network fault detection flow into a plurality of executable nodes, setting basic information for each node, and setting an acquisition instruction; when the power network fault detection is carried out, each node is called in sequence, a collection instruction is obtained from the node, information data of equipment is collected according to the collection instruction and sent to a process engine, and the process engine judges whether the information data has a fault or not and determines the next node to be executed until a task is terminated. By adopting the technical scheme, the fault detection of the existing artificial power network is converted into an automatic detection process, so that the fault detection is efficient, and the low efficiency and the fault rate of manual operation are reduced.
Description
Technical Field
The invention relates to power network fault detection, in particular to a power network fault detection method, device and system based on process automation.
Background
With the continuous development of communication technology and power networks, power networks are becoming more and more complex and larger, and more devices are used. In order to maintain the stability of the power network, the operation and maintenance personnel need to check each device.
However, the inspection methods generally adopted in the industry at present are all performed manually, for example, whether the next hop of the route corresponding to the destination address of the device is consistent with the expectation is checked, the information can only be acquired by connecting the device with operation and maintenance personnel, the information is compared with the expectation information, and if the next hop is inconsistent, an alarm is sent. The workload of the operation and maintenance personnel is gradually increased, more operation and maintenance personnel are needed, the connection relation of the network equipment is more and more complex, and the technical requirements on the operation and maintenance personnel are more and more high.
Disclosure of Invention
The invention aims to solve the problems that the labor cost of the existing power network fault detection is too high and the requirement on operation and maintenance personnel is higher and higher.
In order to solve the above technical problem, a first aspect of the present invention provides a method for detecting a fault in an electrical power network based on process automation, including:
presetting a network fault detection flow which covers all equipment in a network;
splitting the steps in the network fault detection flow into a plurality of executable nodes, setting basic information for each node, and setting an acquisition instruction;
when the power network fault detection is carried out, each node is called in sequence, a collection instruction is obtained from the node, information data of equipment is collected according to the collection instruction and sent to a process engine, and the process engine judges whether the information data has a fault or not and determines the next node to be executed until a task is terminated.
According to a preferred embodiment of the present invention, each of the nodes binds to a specific device.
According to a preferred embodiment of the present invention, the basic information of the node includes a node name, a node type, a node description, device information, whether a device is included, and an input parameter and an output parameter of the node.
According to a preferred embodiment of the present invention, the acquisition instruction includes an enter view instruction, an exit view instruction, and an instruction issued on the device.
According to a preferred embodiment of the invention, the device is logged in via ssh or telnet protocols.
According to a preferred embodiment of the present invention, the flow engine is a flowable flow engine.
According to a preferred embodiment of the invention, the display panel is arranged to acquire the node position in the power network fault detection, edit the node position, acquire the node inspection condition, and indicate the node inspection state by using different colors.
The second aspect of the present invention provides a power network fault detection apparatus based on process automation, the apparatus comprising:
the system comprises a flow formulation module, a flow detection module and a flow management module, wherein the flow formulation module is used for presetting a network fault detection flow which covers all equipment in a network;
the step splitting module is used for splitting the steps in the network fault detection flow into a plurality of executable nodes, setting basic information for each node and setting an acquisition instruction;
the automatic detection module is used for calling each node in sequence when the power network fault detection is carried out, acquiring an acquisition instruction from the node, acquiring information data of equipment according to the acquisition instruction, sending the information data to the process engine, judging whether the information data has a fault or not by the process engine, and determining the next node to be executed until the task is terminated.
In a third aspect of the present invention, a power network fault detection system based on process automation includes:
a storage unit for storing a computer executable program;
and the processing unit is used for reading the computer executable program in the storage unit so as to execute the power network fault detection method based on the process automation.
A fourth aspect of the present invention is a computer-readable medium storing a computer-readable program for executing a process automation-based power network failure detection method.
By adopting the technical scheme, the fault detection of the existing artificial power network is converted into an automatic detection process, so that the fault detection is efficient, the low efficiency and the fault rate of manual operation are reduced, the fault detection is standardized, and the management and maintenance standards are unified.
Drawings
In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects obtained more clear, the following will describe in detail the embodiments of the present invention with reference to the accompanying drawings. It should be noted, however, that the drawings described below are only illustrations of exemplary embodiments of the invention, from which other embodiments can be derived by those skilled in the art without inventive step.
FIG. 1 is a network schematic of a power network of the present invention;
fig. 2 is a schematic flow chart of a power network fault detection method based on process automation in the embodiment of the invention;
FIG. 3 is a schematic flow chart of a first embodiment of the present invention;
FIG. 4 is a template diagram of an automated process according to one embodiment of the invention;
FIG. 5 is a state diagram of an automated process flow for a display panel according to one embodiment of the present invention;
fig. 6 is a schematic structural diagram of a power network fault detection device based on process automation in the embodiment of the present invention;
FIG. 7 is a block diagram of an embodiment of the present invention illustrating a power network fault detection system based on process automation;
fig. 8 is a schematic structural diagram of a computer-readable storage medium in an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention may be embodied in many specific forms, and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art.
The structures, properties, effects or other characteristics described in a certain embodiment may be combined in any suitable manner in one or more other embodiments, while still complying with the technical idea of the invention.
In the description of the specific embodiments, the details of construction, performance, effects, or other characteristics are set forth in order to provide a thorough understanding of the embodiments for one skilled in the art. However, it is not excluded that a person skilled in the art may implement the invention in a specific case without the above-described structures, performances, effects or other features.
The flow chart in the drawings is only an exemplary flow demonstration, and does not represent that all the contents, operations and steps in the flow chart are necessarily included in the scheme of the invention, nor does it represent that the execution is necessarily performed in the order shown in the drawings. For example, some operations/steps in the flowcharts may be divided, some operations/steps may be combined or partially combined, and the like, and the execution order shown in the flowcharts may be changed according to actual situations without departing from the gist of the present invention.
The block diagrams in the figures generally represent functional entities and do not necessarily correspond to physically separate entities. I.e. they may be implemented in software, or in one or more hardware modules or integrated circuits, or in different network and/or processing unit means and/or microcontroller means.
The same reference numerals denote the same or similar elements, components, or parts throughout the drawings, and thus, a repetitive description thereof may be omitted hereinafter. It will be further understood that, although the terms first, second, third, etc. may be used herein to describe various elements, components, or sections, these elements, components, or sections should not be limited by these terms. That is, these phrases are used only to distinguish one from another. For example, a first device may also be referred to as a second device without departing from the spirit of the present invention. Furthermore, the term "and/or", "and/or" is intended to include all combinations of any one or more of the listed items.
Fig. 1 is a network diagram of an optical transmission network according to the present invention, and fig. 1 is a network diagram showing a simple power network, which mainly includes two parts, i.e., a higher data network and a lower data network. The superior data network includes superior switching devices, superior core devices, and 3 superior access devices. In the network, the number of lower-level data networks is 3, and each lower-level data network comprises a lower-level core device and a lower-level switching device. And the 3 lower-level data networks are respectively connected with the 3 upper-level access devices for data interaction.
Fig. 2 is a schematic flow chart of a method for defending against hop-by-hop attacks in an optical transmission network according to an embodiment of the present invention, and as shown in fig. 2, the present invention provides a method for detecting a fault in an electrical power network based on process automation, where the method includes:
s201, a network fault detection process is preset, and the network fault detection process covers all devices in a network.
Usually, operation and maintenance personnel manually detect and maintain the equipment in the power network, and the detection is carried out according to habits of the operation and maintenance personnel, and a standard detection flow does not exist. In order to standardize the fault detection, a uniform network fault detection process is preset for each network structure, and the network fault detection process covers all the devices in the network structure. Therefore, no equipment is omitted in the automatic detection process, and detection can be performed.
S202, splitting the steps in the network fault detection process into a plurality of executable nodes, setting basic information for each node, and setting an acquisition instruction.
Specifically, each node binds to a specific device.
Each node is bound with a designated device, so that the process engine can more accurately judge which node needs to be executed next.
In some cases the inspection process may be for multiple devices, there are multiple operations, and we can add multiple devices to each node in the automation flow.
Specifically, the basic information of the node includes a node name, a node type, a node description, device information, whether the device is included, and an input parameter and an output parameter of the node.
In this embodiment, the device information includes a device management ip, a device type, a manufacturer, a device series, a device model, a software major version, and a software minor version.
Specifically, the acquisition instruction includes an instruction to enter a view, an instruction to exit the view, and an instruction issued on the device. Wherein the issuing instruction is specified according to the corresponding service. And when the process engine calls the nodes according to the process task graph, the login account and the password of the equipment corresponding to the nodes are read, and the equipment is accessed.
Specifically, the device is logged in through ssh or telnet protocol.
Telnet is clear text transfer, default port is 23, no public key is used, ssh is encrypted transfer, default port is 22, ssh uses public key to verify identity of the user of the accessed server, further improving security. Therefore, different login modes are adopted for the devices with different security levels, and the devices with high security levels log in by using ssh.
S203, when the power network fault detection is carried out, each node is called in sequence, a collection instruction is obtained from the node, information data of equipment is collected according to the collection instruction, the information data are sent to a process engine, the process engine judges whether the information data have faults or not, and the next node to be executed is determined until a task is terminated.
And the node acquires the equipment information data according to the acquisition instruction and sends the information data to the process engine. And the process engine judges whether the equipment has a fault according to the information data and determines the next node to be executed.
When the power network fault detection is carried out, a first node is called by a process engine according to a process task graph, the node comprises an instruction which needs to be collected on equipment, after the node finishes collecting information, whether a fault exists is judged through analysis and analysis processing of a collection result, the node transmits an analysis result to the process engine, and the process engine determines and decides the next node to be executed according to the judgment result of the node until the task is terminated.
If the fault does not exist, the next node is executed in sequence according to the requirement, for example, the current execution node is the superior access device 1, the source address of the data received by the device is the superior core device, the destination address is the subordinate core device 1, and if the fault is met, the next execution node is the subordinate core device 2.
If the next executing node is a parallel node, the next executing node executes the operations at the same time, for example, if the next executing node is an upper access device 1, an upper access device 2, or an upper access device 3, the next executing node executes the operations at the same time for these 3 nodes.
And if the fault node does not meet the requirements, performing system alarm, ending, and waiting for operation and maintenance personnel to repair the fault node and then performing fault detection again.
Specifically, the flow engine is a flowable flow engine.
Specifically, the display panel is arranged, node positions in power network fault detection are obtained, the node positions are edited, node inspection conditions are obtained, and different colors are used for indicating the node inspection states.
Through the display panel, operation and maintenance personnel can visually see the state of fault detection, and can know the progress of fault detection and problematic nodes.
The invention is described in detail below with reference to a specific embodiment.
The first embodiment is as follows:
fig. 3 shows a specific flowchart of a method for detecting a fault in an electrical power network based on process automation, fig. 1 shows a structure of the electrical power network, and the method specifically includes:
s301, a fault detection flow is preset.
The detection flow is from the superior exchange device to the superior core device, the superior access device, the inferior core device and the inferior exchange device.
S302, splitting the steps of the fault detection process into executable nodes, setting basic information for each node, and setting a collection instruction.
The split node automation flow template is shown in fig. 4, each automation flow has a start node and a stop node, some nodes will have a plurality of nodes executed in parallel, and the nodes can be checked by using a rectangle to mark the equipment in the same area.
And S303, the automatic process is executed from the starting node at the left end.
And the flow engine calls a first node according to the flow task graph, wherein the node comprises an instruction needing to be collected on the equipment.
And S304, after reaching the first node, logging in the bound superior exchange equipment through the ssh protocol to reach an interaction state with the equipment.
S305, relevant instructions are issued on the equipment through the acquisition instructions stored in the query nodes, and the feedback information data are acquired.
S306, the process engine carries out logic analysis and inspection on the fed-back information data, judges whether the information data meet the requirements or not, and displays the execution state of the node.
The process engine determines the next node to be executed by judging the node inspection result. The status of the various nodes of the automation process are shown on the display panel, as shown in FIG. 5, where the green nodes indicate execution; yellow nodes represent check faults; the red node represents an execution exception, and the task is terminated; blue nodes represent executing; the gray node indicates that the flow has not yet been executed to this point
Where the green lines indicate the route and sequence in which the automated process is performed, and the grey lines indicate unexecuted steps
And S307, each node is executed according to the steps from S304 to S306 until the rightmost end node is reached, and the whole automatic fault detection process is finished.
Fig. 6 is a schematic structural diagram of a power network fault detection apparatus based on process automation in an embodiment of the present invention, and as shown in fig. 6, the present invention further provides a power network fault detection apparatus 600 based on process automation, including:
the process formulation module 601 is configured to preset a network fault detection process, where the network fault detection process covers all devices in a network.
Usually, operation and maintenance personnel manually detect and maintain the equipment in the power network, and the detection is carried out according to habits of the operation and maintenance personnel, and a standard detection flow does not exist. In order to standardize the fault detection, a unified network fault detection flow is preset for each network structure, and the network fault detection flow covers all devices in the network structure. Therefore, no equipment is omitted in the process of carrying out automatic detection, and detection can be carried out.
A step splitting module 602, configured to split the steps in the network fault detection process into multiple executable nodes, set basic information for each node, and set an acquisition instruction.
Specifically, each node binds to a specific device.
Each node is bound with a designated device, so that the process engine can more accurately judge which node needs to be executed next.
In some cases the inspection process may be for multiple devices, there are multiple operations, and we can add multiple devices to each node in the automation flow.
Specifically, the basic information of the node includes a node name, a node type, a node description, device information, whether the device is included, and an input parameter and an output parameter of the node.
In this embodiment, the device information includes device management ip, device type, manufacturer, device family, device model, software major version, and software minor version.
Specifically, the acquisition instruction includes an instruction to enter a view, an instruction to exit the view, and an instruction issued on the device. Wherein the issuing instruction is specified according to the corresponding service. And when the process engine calls the nodes according to the process task graph, the login account and the password of the equipment corresponding to the nodes are read, and the equipment is accessed.
Specifically, the device is logged in through ssh or telnet protocol.
Telnet is clear text transfer, default port is 23, no public key is used, ssh is encrypted transfer, default port is 22, ssh uses public key to verify identity of the user of the accessed server, further improving security. Therefore, different login modes are adopted for the devices with different security levels, and the devices with high security levels log in by using ssh.
The automatic detection module 603 is configured to, when performing power network fault detection, sequentially call each node, acquire an acquisition instruction from the node, acquire information data of a device according to the acquisition instruction, send the information data to the process engine, and the process engine determines whether the information data has a fault and determines a next node to be executed until a task is terminated.
And the node acquires the equipment information data according to the acquisition instruction and sends the information data to the process engine. And the process engine judges whether the equipment has a fault according to the information data and determines the next node to be executed.
When the power network fault detection is carried out, a first node is called by a process engine according to a process task graph, the node comprises an instruction which needs to be collected on equipment, after the node finishes collecting information, whether a fault exists is judged through analysis and analysis processing of a collection result, the node transmits an analysis result to the process engine, and the process engine determines and decides the next node to be executed according to the judgment result of the node until the task is terminated.
If the fault does not exist, the next node is executed in sequence according to the requirement, for example, the current execution node is the superior access device 1, the source address of the data received by the device is the superior core device, the destination address is the subordinate core device 1, and if the fault is met, the next execution node is the subordinate core device 2.
If the next executing node is a parallel node, the next executing node executes the operations at the same time, for example, if the next executing node is an upper access device 1, an upper access device 2, or an upper access device 3, the next executing node executes the operations at the same time for these 3 nodes.
And if the fault node does not meet the requirement, performing system alarm, finishing the system alarm, and waiting for operation and maintenance personnel to repair the fault node and then performing fault detection again.
Specifically, the process engine is a flowable process engine.
Specifically, the display panel is arranged, node positions in power network fault detection are obtained, the node positions are edited, node inspection conditions are obtained, and different colors are used for indicating the node inspection states.
Through the display panel, operation and maintenance personnel can visually see the state of fault detection, and can know the progress of fault detection and problematic nodes.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and the electronic device includes a processor and a memory, the memory is used for storing a computer executable program, and when the computer program is executed by the processor, the processor executes a data processing method for resource subsidy.
As shown in fig. 7, the electronic device is in the form of a general purpose computing device. The processor can be one or more and can work together. The invention also does not exclude that distributed processing is performed, i.e. the processors may be distributed over different physical devices. The electronic device of the present invention is not limited to a single entity, and may be a sum of a plurality of entity devices.
The memory stores a computer executable program, typically machine readable code. The computer readable program may be executed by the processor to enable an electronic device to perform the method of the invention, or at least some of the steps of the method.
The memory may include volatile memory, such as Random Access Memory (RAM) and/or cache memory units, as well as non-volatile memory, such as read-only memory (ROM).
Optionally, in this embodiment, the electronic device further includes an I/O interface, which is used for data exchange between the electronic device and an external device. The I/O interface may be a local bus representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, and/or a memory storage device using any of a variety of bus architectures.
It should be understood that the electronic device shown in fig. 7 is only one example of the present invention, and elements or components not shown in the above example may be further included in the electronic device of the present invention. For example, some electronic devices further include a display unit such as a display screen, and some electronic devices further include a human-computer interaction element such as a button, a keyboard, and the like. Electronic devices are considered to be covered by the present invention as long as the electronic devices are capable of executing a computer-readable program in a memory to implement the method of the present invention or at least a part of the steps of the method.
FIG. 8 is a schematic diagram of one computer-readable medium embodiment of the present invention. As shown in fig. 8, the computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory unit (RAM), a read-only memory unit (ROM), an erasable programmable read-only memory unit (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory unit (CD-ROM), an optical storage unit, a magnetic storage unit, or any suitable combination of the foregoing. The computer program, when executed by one or more data processing devices, enables the computer-readable medium to implement the above-described method of the invention, namely:
presetting a network fault detection process which covers all equipment in a network;
splitting the steps in the network fault detection flow into a plurality of executable nodes, setting basic information for each node, and setting an acquisition instruction;
when the power network fault detection is carried out, each node is called in sequence, a collection instruction is obtained from the node, information data of equipment is collected according to the collection instruction and sent to a process engine, and the process engine judges whether the information data has a fault or not and determines the next node to be executed until a task is terminated.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a data processing device (which can be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In summary, the present invention can be implemented as a method, apparatus, electronic device, or computer-readable medium that executes a computer program. Some or all of the functions of the present invention may be implemented in practice using a general-purpose data processing device such as a micro processing unit or a digital signal processing unit (DSP).
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.
Claims (8)
1. A power network fault detection method based on process automation is characterized by comprising the following steps:
presetting a network fault detection flow which covers all equipment in a network;
splitting the steps in the network fault detection flow into a plurality of executable nodes, setting basic information for each node, and setting an acquisition instruction, wherein each node is bound with at least one designated device; the basic information of the node comprises a node name, a node type, a node description, equipment information, whether equipment is contained or not, and input parameters and output parameters of the node;
when the power network fault detection is carried out, each node is called in sequence, a collection instruction is obtained from the node, the information data of equipment is collected according to the collection instruction and sent to a process engine, and the process engine judges whether the information data has faults or not and decides the next node to be executed until a task is terminated.
2. The process automation-based power network fault detection method of claim 1, where the acquisition instruction includes an enter view instruction, an exit view instruction, and an instruction issued on a device.
3. The process automation based power network fault detection method according to claim 2, characterised in that the device is logged in by ssh or telnet protocol.
4. The process automation-based power network fault detection method of claim 1, wherein the process engine is a flowable process engine.
5. The process automation based power network fault detection method as claimed in any one of claims 1 to 4, wherein a display panel is provided, node positions in power network fault detection are obtained, the node positions are edited, node inspection conditions are obtained, and different colors are used to indicate node inspection states.
6. A power network fault detection device based on process automation is characterized in that the device comprises:
the system comprises a flow formulation module, a flow detection module and a flow management module, wherein the flow formulation module is used for presetting a network fault detection flow which covers all equipment in a network;
a step splitting module, configured to split the steps in the network fault detection process into multiple executable nodes, set basic information for each node, and set an acquisition instruction, where each node binds at least one designated device; the basic information of the node comprises a node name, a node type, a node description, equipment information, whether equipment is contained or not, and input parameters and output parameters of the node;
the automatic detection module is used for calling each node in sequence when the power network fault detection is carried out, acquiring an acquisition instruction from the node, acquiring information data of equipment according to the acquisition instruction, sending the information data to the process engine, judging whether the information data has a fault or not by the process engine, and determining the next node to be executed until a task is terminated.
7. An electronic device comprising a processor and a memory, the memory for storing a computer-executable program, characterized in that:
the computer executable program, when executed by the processor, performs the process automation based power network fault detection method of any one of claims 1-5.
8. A computer-readable medium storing a computer-executable program, wherein the computer-executable program, when executed, implements the process automation based power network fault detection method of any one of claims 1-5.
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| CN202110586540.2A CN113347060B (en) | 2021-05-27 | 2021-05-27 | Method, device and system for detecting power network fault based on process automation |
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| CN202110586540.2A CN113347060B (en) | 2021-05-27 | 2021-05-27 | Method, device and system for detecting power network fault based on process automation |
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