CN111401760A - Safety and stability control device exception handling decision method and device - Google Patents
Safety and stability control device exception handling decision method and device Download PDFInfo
- Publication number
- CN111401760A CN111401760A CN202010206410.7A CN202010206410A CN111401760A CN 111401760 A CN111401760 A CN 111401760A CN 202010206410 A CN202010206410 A CN 202010206410A CN 111401760 A CN111401760 A CN 111401760A
- Authority
- CN
- China
- Prior art keywords
- abnormal
- safety
- stability control
- model
- control device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000002159 abnormal effect Effects 0.000 claims abstract description 191
- 230000005856 abnormality Effects 0.000 claims abstract description 75
- 238000012545 processing Methods 0.000 claims description 53
- 238000004891 communication Methods 0.000 claims description 33
- 238000010276 construction Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 238000003825 pressing Methods 0.000 claims description 3
- 230000002265 prevention Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 3
- 238000006073 displacement reaction Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 9
- 238000004590 computer program Methods 0.000 description 7
- 238000011217 control strategy Methods 0.000 description 4
- 238000003860 storage Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Safety Devices In Control Systems (AREA)
Abstract
The invention discloses a safety and stability control device exception handling decision method and a device, wherein an exception model of a safety and stability control device is constructed by acquiring exception description of a dispatching end uploaded by the safety and stability control device, the specific attribute of each exception is determined, and the influence of the generated exception on the safety and stability control device and the priority of exception handling are judged according to an exception displacement signal uploaded by the safety and stability control device in real time. The invention can identify the abnormal state of each device in the safety and stability control system at the dispatching end, excavate the influence of the generated abnormality on the safety and stability control device, remind the abnormal handling level of dispatching operation personnel, effectively support the daily work of the dispatching operation personnel and reduce the operation and maintenance pressure.
Description
Technical Field
The invention belongs to the technical field of power systems and automation thereof, and particularly relates to a safety and stability control device exception handling decision method and device.
Background
With the higher and higher complexity, more and more levels, wide device coverage and gradually increased scale of the safety and stability control system, the probability of abnormity is greatly increased. Once some abnormality occurs in the actual operation, such as incorrect information acquisition, communication interruption, device quit operation, and mode mismatching, the device may be rejected, malfunction, and even the reliability of the operation of the whole safety and stability control system is affected.
At present, the abnormal description and the abnormal signal sent to the dispatching end by the safety and stability control device only remind the manager of the abnormality occurring in the device, but no further processing is performed on the influence, severity and the like of the device function caused by the abnormality.
Disclosure of Invention
The invention aims to provide an exception handling decision method and device for a safety and stability control device, which can realize online identification of the influence of an exception state of the safety and stability emergency control device on the function of the device, provide a technical means for dispatching operators to master the real-time exception state and the processing priority of the safety and stability emergency control device, and improve the monitoring and management capability of the safety and stability control device.
The invention is realized by adopting the following technical scheme,
one aspect of the present invention provides a method for deciding exception handling of a safety and stability control apparatus, including:
constructing an abnormal model of the safety and stability control device; the safety and stability control device abnormal model is configured with an abnormal type, whether locking is performed or not, a strategy influence type, an associated element model and a processing priority attribute;
acquiring abnormal description of the abnormal signal of the safety and stability control device, and judging the influence range of the abnormal signal on the safety and stability control device based on the abnormal model and the abnormal description of the safety and stability control device;
and determining the priority of the exception handling based on the influence range of the exception signal on the safety and stability control device.
Further, the abnormity type divides the abnormity of the safety and stability control device into channel abnormity, element acquisition abnormity, error-proof check abnormity, summary signal abnormity and other abnormity;
the locking is used for identifying whether the device is locked after the current abnormal signal occurs;
the strategy influence type is used for identifying the strategy range influenced by the current abnormal signal after occurrence and is divided into a strategy without influence, a strategy influencing all the strategies and a strategy influencing fault tripping;
the association element model is used for identifying the primary equipment or channel associated with the current anomaly description;
the processing priority is used for identifying the emergency degree of the current exception handling and is divided into an emergency processing priority and a general processing priority.
Further, the channel abnormality is divided into inter-station device communication abnormality, intra-station device communication abnormality and device internal communication abnormality;
the inter-station device communication abnormality means that the device cannot receive communication data of a station opposite side device with communication contact or receives data errors, or abnormality is caused when the channel pressing plates are inconsistent in throwing and withdrawing;
the communication abnormity of the in-station device refers to the abnormity caused when the cabinet cannot receive communication data of another cabinet or receives data of the other cabinet in error when the in-station device in the same plant is deployed according to double sets;
the device internal communication abnormality refers to abnormality caused by communication data interaction loss or errors among the device internal plates;
the abnormal element collection refers to the abnormal condition that the collection quantity of a specific element is not within the range of a preset rated value reasonable interval and lasts for a certain time;
the error-proof check abnormality refers to an abnormality prompted when some manually set and managed software and hardware data in the device do not meet the error-proof self-checking range or logic requirements in the device;
the summary signal is abnormal, which is conclusive abnormality given after comprehensively judging each running state in the device;
the other anomalies refer to anomalies in the device that cannot be specified for a particular class.
Further, the correlation element model is divided into correlation equipment abnormity and correlation channel abnormity;
when the abnormal type is abnormal element collection, the abnormal type is abnormal associated equipment;
and when the abnormal type is the channel abnormality of the inter-station device and the channel abnormality of the intra-station device, the channel abnormality is the associated channel abnormality.
Further, the determining the influence range of the abnormal signal on the safety and stability control device includes:
judging whether the locking attribute exists in the abnormal model of the safety and stability control device according to the abnormal description, and if so, failing the safety and stability control device; if not, judging the attribute of the associated element model in the abnormal model of the safety and stability control device;
if no related element model exists, the abnormal signal does not affect the operation of the safety and stability control device; if the associated element model exists, judging the associated element model type;
if the associated element model is a primary equipment model, judging the strategy influence type attribute in the abnormal model of the safety and stability control device, and determining the influence range on the safety and stability control device according to the strategy influence type;
if the associated component model is a device channel model, the decision control policy logic decides that the control policy is affected or that the control policy execution is affected.
Further, the determining whether to lock the attribute in the abnormal model of the safety and stability control device according to the abnormal description includes:
if the "lock or not" attribute of any of the generated abnormal signals is determined as "yes", it is determined that the safety and stability control apparatus is locked.
Further, the determining the associated component model type includes:
judging the type of the abnormality according to the abnormality description of the abnormal signal;
if the abnormal type is abnormal component collection, judging that the associated component model is a primary equipment model;
and if the exception type is a channel exception, judging that the associated element model is a device channel model.
Further, the determining the priority of the exception handling based on the influence range of the exception signal on the safety and stability control device includes:
if an abnormal signal occurs and the device is not locked, associating a primary equipment model and the strategy influence type is that all strategies are influenced or a fault tripping strategy is influenced, and judging that the priority of the abnormal processing is urgent;
generating an abnormal signal and not locking the device, associating a primary equipment model and ensuring that all strategies are not influenced if the strategy influence type is that all strategies are not influenced, and ensuring that the priority of the abnormal processing is general;
if an abnormal signal occurs and the device is locked, the priority of the abnormal processing is urgent;
if an abnormal signal occurs, the device is not locked and the device channel model is associated, the priority of the abnormal processing is urgent;
exception signals occur and the device is not locked out and there is no associated component model, then the exception handling priority is general.
Another aspect of the present invention provides an exception handling decision apparatus for a safety and stability control apparatus, including:
the model construction module is used for constructing an abnormal model of the safety and stability control device; the safety and stability control device abnormal model is configured with an abnormal type, whether locking is performed or not, a strategy influence type, an associated element model and a processing priority attribute;
the judging module is used for acquiring the abnormal description of the abnormal signal of the safety and stability control device and judging the influence range of the abnormal signal on the safety and stability control device based on the abnormal model and the abnormal description of the safety and stability control device;
and the number of the first and second groups,
and the judging module is used for determining the priority of the exception handling based on the influence range of the exception signal on the safety and stability control device.
Further, the judging module is specifically configured to,
judging whether the locking attribute exists in the abnormal model of the safety and stability control device according to the abnormal description, and if so, failing the safety and stability control device; if not, judging the attribute of the associated element model in the abnormal model of the safety and stability control device;
if no related element model exists, the abnormal signal does not affect the operation of the safety and stability control device; if the associated element model exists, judging the associated element model type;
if the associated element model is a primary equipment model, judging the strategy influence type attribute in the abnormal model of the safety and stability control device, and determining the influence range on the safety and stability control device according to the strategy influence type;
if the associated component model is a device channel model, the decision control policy logic decides that the control policy is affected or that the control policy execution is affected.
Further, the determining module is specifically configured to,
if an abnormal signal occurs and the device is not locked, associating a primary equipment model and judging that the priority of abnormal processing is urgent if all strategies are affected or the fault tripping strategy is affected according to the strategy influence type;
if an abnormal signal occurs and the device is not locked, associating a primary equipment model and judging that all strategies are not influenced, and judging that the priority of abnormal processing is general;
if the abnormal signal occurs and the device is locked, judging that the priority of the abnormal processing is urgent;
if an abnormal signal occurs, the device is not locked and the device channel model is associated, the priority of the abnormal processing is judged to be urgent;
if an exception signal occurs and the device is not locked and has no associated component model, then the exception handling priority is determined to be normal.
The invention achieves the following beneficial effects:
according to the decision-making method for exception handling of the safety and stability control device, the influence range of an exception signal on the safety and stability control device is judged according to attribute configuration in an exception model of the safety and stability control device, and then the exception handling priority is determined, so that a technical means is provided for identifying the influence of the exception state of the safety and stability emergency control device on the function of the device and the exception handling level at a dispatching end, dispatching operation personnel can master the exception state of the safety and stability control device in time, the monitoring and management capability of the safety and stability control device is improved, the daily work of the dispatching operation personnel is effectively supported, and the operation and maintenance pressure is reduced.
Drawings
FIG. 1 is a schematic overall flow chart of an exception handling decision method for a safety and stability control apparatus according to the present invention;
FIG. 2 is a schematic diagram of an embodiment of a decision method for handling an exception in a safety and stability control apparatus according to the present invention;
fig. 3 is a schematic diagram illustrating the abnormal model attribute of the safety and stability control apparatus according to the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and with reference to examples.
The invention provides a safety and stability control device exception handling decision method, which comprises the following steps of:
constructing an abnormal model of the safety and stability control device; the safety and stability control device abnormal model is configured with an abnormal type, whether locking is performed or not, a strategy influence type, an associated element model and a processing priority attribute;
acquiring abnormal description of the abnormal signal of the safety and stability control device, and judging the influence range of the abnormal signal on the safety and stability control device based on the abnormal model and the abnormal description of the safety and stability control device;
and determining the priority of the exception handling based on the influence range of the exception signal on the safety and stability control device.
As a preferred embodiment, an exception handling decision method for a safety and stability control device, referring to fig. 2, includes the following steps:
and S1, obtaining the abnormal description of the dispatching end uploaded by the safety and stability control device, constructing an abnormal model of the safety and stability control device, and determining the specific attribute of each abnormality. Description of the properties of the anomaly model referring schematically to fig. 3, the properties formed include: exception type, whether or not to lockout, policy impact type, associated component model, processing priority.
The following describes the attributes in detail:
1) and the abnormal type divides the abnormity of the safety and stability control device into different categories, namely channel abnormity, element acquisition abnormity, error-proof check abnormity, summary signal abnormity and other abnormity.
a) The channel abnormality is divided into an inter-station device communication abnormality, an intra-station device communication abnormality, and a device internal communication abnormality. i. The communication abnormality of the inter-station device refers to the abnormality caused by the fact that the device cannot receive communication data of a station opposite side device with communication contact or the data is received wrongly or channel pressing plates are thrown or withdrawn inconsistently. And ii, abnormal communication of the in-station device refers to an abnormality caused when the cabinet cannot receive communication data of another cabinet or receives data of the other cabinet in error when the in-station device of the same plant is deployed according to a double set. Device internal communication anomalies refer to anomalies resulting from loss or error of communication data interaction between device internal boards.
b) The abnormal element collection refers to the abnormal condition that the collection amount of a specific element is not within the reasonable range of the preset rated value and lasts for a certain time.
c) The error checking prevention abnormity refers to the abnormity prompted when some manually set and managed software and hardware data in the device do not meet the internal error checking prevention range or logic requirements of the device.
d) The summary signal abnormality refers to a conclusive abnormality given after comprehensively judging each operation state in the device.
e) Other abnormalities are abnormalities in the device that do not fall within the above classification range and cannot be identified in a particular category.
2) And whether the device is locked or not, wherein the attribute is used for identifying whether the device is locked or not after the current abnormal signal occurs.
3) And the strategy influence type is used for identifying the strategy range influenced by the current abnormal signal after occurrence and is divided into no influence, all strategies and fault tripping strategies.
4) And the association element model identifies the primary equipment or channel associated with the current exception description, and is divided into an association equipment exception and an association channel exception. Wherein the content of the first and second substances,
and associating equipment abnormality, wherein when the abnormality type is element collection abnormality, the primary equipment name of the abnormal element can be known according to the abnormality name, and the association relation between the abnormal signal and the primary equipment model is configured. The primary equipment model can be understood as the existing models of lines, buses, generators and the like in the dispatching platform.
And associating channel abnormity, and comprehensively judging the state of the channel according to an abnormal signal needing to be associated in the device channel model when the abnormal type is the inter-station device channel abnormity and the intra-station device channel abnormity. An associated exception signal in a device channel model, comprising: "channel abnormality", "channel platen inconsistency", and "channel information invalidity".
The device channel is generally used for transmitting grid key data of a control strategy and issuing control commands. The device channel model is a model which is established in the dispatching platform self-management system in advance, is similar to a primary equipment model, and mainly describes connection information of inter-station devices and the inter-station devices, for example, a channel has two ends, one end is an A device, the other end is a B device, and other properties such as states and channel type attributes.
5) The processing priority is divided into an emergency processing priority and a general processing priority and is used for informing a scheduling operator to confirm the emergency degree of the exception handling.
In a first example, taking an acquisition exception of a safety and stability control device as an example, one exception of the device is described as "a position signal exception", the type of the exception is acquisition exception, whether a locking attribute is negative, a policy influence type is all policies, and an associated element model is primary equipment a.
S2, after the abnormal signal of the safety and stability control device occurs, the influence on the safety and stability control device is judged, and the method comprises the following specific steps:
s2-1, according to the formula (1), judging whether the abnormal signal causes the device to be locked, if any one attribute of 'locking or not' in the generated abnormal signal is configured to 'yes', the device is locked. If the device is locked, the device is considered to be disabled and S2-4 is entered, otherwise S2-2 is entered.
The value of E represents the state of the device affected by the abnormality, the value of E has two values, the device is not affected when the value is 0, and the value is 1Indicating that the device is latched. n is the number of all anomalies in the safety and stability control device; siWhether the ith abnormality occurs in the device is represented, the value is 0 to represent that the abnormality does not occur, and the value is 1 to represent that the abnormality occurs; b isiIndicating whether the ith exception caused the device to latch, when the value is 0, indicating that the exception did not cause the device to latch, when the value is 1, indicating that the exception caused the device to latch, and V indicates an or operation for the set element.
S2-2, judging whether the abnormal signal has a related element model, if not, considering that the abnormal signal does not influence the operation of the device, and entering S2-4; otherwise, the process proceeds to S2-3.
And S2-3, judging the abnormal type of the abnormal signal of the related element model according to the related element model of the generated abnormal signal, and confirming whether the related element model is a primary equipment model or a device channel model.
S2-3-1, if the abnormal type is element collection abnormal, judging that the associated element model is a primary equipment model, and determining whether all the strategies of the device are affected or the fault tripping strategy is affected according to the strategy influence type;
s2-3-2, if the abnormal type is channel abnormal, then the related element model is judged to be the device channel model, when the abnormal type is the inter-station device channel abnormal and the inter-station device channel abnormal, the channel state is comprehensively judged to be normal according to the related abnormal signal in the device channel model.
An associated exception signal in a device channel model, comprising: channel anomalies, channel platen inconsistencies, and channel information invalidity. If one of the exceptions occurs, the channel is considered to be abnormal, and the device control strategy logic is considered to be affected or the execution is affected.
S2-4, according to the influence range of the device function caused by the abnormality, determining the priority of the device abnormality processing after the abnormality occurs, including:
if the abnormal signal does not cause the device to be locked, associating a primary equipment model, and if the strategy influence type is that all strategies are influenced or the fault tripping strategy is influenced, the priority of the abnormal processing is urgent;
if the abnormal signal does not cause the locking of the device, associating a primary equipment model, and not influencing all strategies, the priority of the abnormal processing is general;
if the abnormal signal occurs to cause the device to be locked and cause the device to fail, the priority of the abnormal processing is urgent;
if the abnormal signal does not cause the device to be locked and the device channel model is associated, the control strategy logic judges that the device is influenced or the control strategy execution is influenced, and the priority of the abnormal processing is urgent;
and if the abnormal signal does not cause the device to be locked, the device has no correlation model and does not influence the operation of the device, and the priority of the abnormal processing is general.
For example, after the "a position signal abnormality" occurs, it is determined according to S2-1 that the apparatus is not locked, and the abnormality configures a correlation element model, and the abnormality type is acquisition abnormality, and it is determined that the primary equipment element a is correlated, and further it is determined through a policy influence range that all policy functions of the abnormality influencing apparatus need to remind a scheduling operator that the apparatus policy determination is influenced, and emergency processing is needed.
Taking the error-proof check abnormality of the safety and stability control device as an example, one abnormality of the device is described as a 'constant value check abnormality', the type of the abnormality is the error-proof check abnormality, and whether the locking attribute is yes or not is judged.
After the 'fixed value check abnormity' occurs, judging that the device is locked according to S2-1, entering S2-4, judging that the device is locked due to the abnormity occurrence, judging that the processing priority of the abnormity is urgent, and immediately informing a scheduling operator to process the abnormity of the device.
Taking a channel abnormality of the safety and stability control device as an example, one abnormality of the device is described as "communication abnormality with the station B", the type of the abnormality is channel abnormality, whether the locking attribute is negative or not is judged, and the abnormality configures an associated channel model.
After the communication abnormity with the station B occurs, judging that the device is not locked according to S2-1, and entering S2-2; confirming the associated model configuration, and entering S2-3-2; the signal belongs to the device channel abnormity, which can cause the device to judge the policy logic or the execution is influenced, the processing priority of the abnormity is judged to be urgent, and the scheduling operator needs to be informed immediately to process the device abnormity.
Taking other anomalies of the safety and stability control device as an example, one anomaly of the device is described as 'GPS signal anomaly', the type of the anomaly is other anomalies, and whether the locking attribute is negative or not is judged.
After the GPS signal is abnormal, judging that the device is not locked according to S2-1, entering S2-2, confirming that no associated model configuration exists, and not influencing the operation of the device when the abnormal signal occurs; and S2-4, judging the processing priority of the abnormity to be general, and requiring a scheduling operator to inform an operation maintenance operator to carry out subsequent processing on the device abnormity.
Another aspect of the present invention provides an exception handling decision apparatus for a safety and stability control apparatus, including:
the model construction module is used for constructing an abnormal model of the safety and stability control device; the safety and stability control device abnormal model is configured with an abnormal type, whether locking is performed or not, a strategy influence type, an associated element model and a processing priority attribute;
the judging module is used for acquiring the abnormal description of the abnormal signal of the safety and stability control device and judging the influence range of the abnormal signal on the safety and stability control device based on the abnormal model and the abnormal description of the safety and stability control device;
and the number of the first and second groups,
and the judging module is used for determining the priority of the exception handling based on the influence range of the exception signal on the safety and stability control device.
Further, the judging module is specifically configured to,
judging whether the locking attribute exists in the abnormal model of the safety and stability control device according to the abnormal description, and if so, failing the safety and stability control device; if not, judging the attribute of the associated element model in the abnormal model of the safety and stability control device;
if no related element model exists, the abnormal signal does not affect the operation of the safety and stability control device; if the associated element model exists, judging the associated element model type;
if the associated element model is a primary equipment model, judging the strategy influence type attribute in the abnormal model of the safety and stability control device, and determining the influence range on the safety and stability control device according to the strategy influence type;
if the associated component model is a device channel model, the decision control policy logic decides that the control policy is affected or that the control policy execution is affected.
Further, the determining module is specifically configured to,
if an abnormal signal occurs and the device is not locked, associating a primary equipment model and judging that the priority of abnormal processing is urgent if all strategies are affected or the fault tripping strategy is affected according to the strategy influence type;
if an abnormal signal occurs and the device is not locked, associating a primary equipment model and judging that all strategies are not influenced, and judging that the priority of abnormal processing is general;
if the abnormal signal occurs and the device is locked, judging that the priority of the abnormal processing is urgent;
if an abnormal signal occurs, the device is not locked and the device channel model is associated, the priority of the abnormal processing is judged to be urgent;
if an exception signal occurs and the device is not locked and has no associated component model, then the exception handling priority is determined to be normal.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (11)
1. A safety and stability control device exception handling decision method is characterized by comprising the following steps:
constructing an abnormal model of the safety and stability control device; the safety and stability control device abnormal model is configured with an abnormal type, whether locking is performed or not, a strategy influence type, an associated element model and a processing priority attribute;
acquiring abnormal description of the abnormal signal of the safety and stability control device, and judging the influence range of the abnormal signal on the safety and stability control device based on the abnormal model and the abnormal description of the safety and stability control device;
and determining the priority of the exception handling based on the influence range of the exception signal on the safety and stability control device.
2. The method according to claim 1, wherein the exception type divides the safety and stability control device exception into a channel exception, an element collection exception, an error check error prevention exception, a summary signal exception and other exceptions;
the locking is used for identifying whether the device is locked after the current abnormal signal occurs;
the strategy influence type is used for identifying the strategy range influenced by the current abnormal signal after occurrence and is divided into a strategy without influence, a strategy influencing all the strategies and a strategy influencing fault tripping;
the association element model is used for identifying the primary equipment or channel associated with the current anomaly description;
the processing priority is used for identifying the emergency degree of the current exception handling and is divided into an emergency processing priority and a general processing priority.
3. The method of claim 2, wherein the channel anomalies are classified as inter-station device communication anomalies, intra-station device communication anomalies, and device intra-device communication anomalies;
the inter-station device communication abnormality means that the device cannot receive communication data of a station opposite side device with communication contact or receives data errors, or abnormality is caused when the channel pressing plates are inconsistent in throwing and withdrawing;
the communication abnormity of the in-station device refers to the abnormity caused when the cabinet cannot receive communication data of another cabinet or receives data of the other cabinet in error when the in-station device in the same plant is deployed according to double sets;
the device internal communication abnormality refers to abnormality caused by communication data interaction loss or errors among the device internal plates;
the abnormal element collection refers to the abnormal condition that the collection quantity of a specific element is not within the range of a preset rated value reasonable interval and lasts for a certain time;
the error-proof check abnormality refers to an abnormality prompted when some manually set and managed software and hardware data in the device do not meet the error-proof self-checking range or logic requirements in the device;
the summary signal is abnormal, which is conclusive abnormality given after comprehensively judging each running state in the device;
the other anomalies refer to anomalies in the device that cannot be specified for a particular class.
4. The safety and stability control device exception handling decision method according to claim 2, wherein the correlation component model is divided into a correlation device exception and a correlation channel exception;
when the abnormal type is abnormal element collection, the abnormal type is abnormal associated equipment;
and when the abnormal type is the channel abnormality of the inter-station device and the channel abnormality of the intra-station device, the channel abnormality is the associated channel abnormality.
5. The method for deciding on the handling of the abnormality of the safety and stability control device according to claim 1, wherein the determining the influence range of the abnormal signal on the safety and stability control device includes:
judging whether the locking attribute exists in the abnormal model of the safety and stability control device according to the abnormal description, and if so, failing the safety and stability control device; if not, judging the attribute of the associated element model in the abnormal model of the safety and stability control device;
if no related element model exists, the abnormal signal does not affect the operation of the safety and stability control device; if the associated element model exists, judging the associated element model type;
if the associated element model is a primary equipment model, judging the strategy influence type attribute in the abnormal model of the safety and stability control device, and determining the influence range on the safety and stability control device according to the strategy influence type;
if the associated component model is a device channel model, the decision control policy logic decides that the control policy is affected or that the control policy execution is affected.
6. The safety and stability control device exception handling decision method according to claim 5, wherein the determining whether to lock the attribute in the safety and stability control device exception model according to the exception description comprises:
if the "lock or not" attribute of any of the generated abnormal signals is determined as "yes", it is determined that the safety and stability control apparatus is locked.
7. The safety and stability control device exception handling decision method according to claim 5, wherein the determining the associated element model type comprises:
judging the type of the abnormality according to the abnormality description of the abnormal signal;
if the abnormal type is abnormal component collection, judging that the associated component model is a primary equipment model;
and if the exception type is a channel exception, judging that the associated element model is a device channel model.
8. The safety and stability control device exception handling decision method according to claim 5, wherein the determining the exception handling priority based on the influence range of the exception signal on the safety and stability control device comprises:
if an abnormal signal occurs and the device is not locked, associating a primary equipment model and the strategy influence type is that all strategies are influenced or a fault tripping strategy is influenced, and judging that the priority of the abnormal processing is urgent;
generating an abnormal signal and not locking the device, associating a primary equipment model and ensuring that all strategies are not influenced if the strategy influence type is that all strategies are not influenced, and ensuring that the priority of the abnormal processing is general;
if an abnormal signal occurs and the device is locked, the priority of the abnormal processing is urgent;
if an abnormal signal occurs, the device is not locked and the device channel model is associated, the priority of the abnormal processing is urgent;
exception signals occur and the device is not locked out and there is no associated component model, then the exception handling priority is general.
9. An exception handling decision device for a safety and stability control device, comprising:
the model construction module is used for constructing an abnormal model of the safety and stability control device; the safety and stability control device abnormal model is configured with an abnormal type, whether locking is performed or not, a strategy influence type, an associated element model and a processing priority attribute;
the judging module is used for acquiring the abnormal description of the abnormal signal of the safety and stability control device and judging the influence range of the abnormal signal on the safety and stability control device based on the abnormal model and the abnormal description of the safety and stability control device;
and the number of the first and second groups,
and the judging module is used for determining the priority of the exception handling based on the influence range of the exception signal on the safety and stability control device.
10. The device for determining exception handling of a safety and stability control device according to claim 9, wherein the determining module is specifically configured to,
judging whether the locking attribute exists in the abnormal model of the safety and stability control device according to the abnormal description, and if so, failing the safety and stability control device; if not, judging the attribute of the associated element model in the abnormal model of the safety and stability control device;
if no related element model exists, the abnormal signal does not affect the operation of the safety and stability control device; if the associated element model exists, judging the associated element model type;
if the associated element model is a primary equipment model, judging the strategy influence type attribute in the abnormal model of the safety and stability control device, and determining the influence range on the safety and stability control device according to the strategy influence type;
if the associated component model is a device channel model, the decision control policy logic decides that the control policy is affected or that the control policy execution is affected.
11. The device of claim 9, wherein the decision module is specifically configured to,
if an abnormal signal occurs and the device is not locked, associating a primary equipment model and judging that the priority of abnormal processing is urgent if all strategies are affected or the fault tripping strategy is affected according to the strategy influence type;
if an abnormal signal occurs and the device is not locked, associating a primary equipment model and judging that all strategies are not influenced, and judging that the priority of abnormal processing is general;
if the abnormal signal occurs and the device is locked, judging that the priority of the abnormal processing is urgent;
if an abnormal signal occurs, the device is not locked and the device channel model is associated, the priority of the abnormal processing is judged to be urgent;
if an exception signal occurs and the device is not locked and has no associated component model, then the exception handling priority is determined to be normal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010206410.7A CN111401760B (en) | 2020-03-23 | 2020-03-23 | Safety and stability control device exception handling decision method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010206410.7A CN111401760B (en) | 2020-03-23 | 2020-03-23 | Safety and stability control device exception handling decision method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111401760A true CN111401760A (en) | 2020-07-10 |
| CN111401760B CN111401760B (en) | 2022-08-09 |
Family
ID=71431080
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010206410.7A Active CN111401760B (en) | 2020-03-23 | 2020-03-23 | Safety and stability control device exception handling decision method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111401760B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113256068A (en) * | 2021-04-25 | 2021-08-13 | 国网宁夏电力有限公司 | Wisdom energy internet system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SU1149349A1 (en) * | 1983-03-14 | 1985-04-07 | Ленинградский Ордена Ленина Политехнический Институт Им.М.И.Калинина | Device for emergency limiting of power output of electric power plant |
| CN102724071A (en) * | 2012-06-19 | 2012-10-10 | 国网电力科学研究院 | Method and system for power communication failure early warning analysis based on network model and rule models |
| CN104657793A (en) * | 2015-03-09 | 2015-05-27 | 云南昶丰科技有限公司 | Hidden failure prediction and treatment method for overhead transmission line |
| CN105515188A (en) * | 2015-12-10 | 2016-04-20 | 国网四川省电力公司成都供电公司 | Power distribution network centralized feed line automatic fault processing method |
| CN107909166A (en) * | 2017-12-21 | 2018-04-13 | 贵州电网有限责任公司 | Low-voltage distribution transformer platform district troubleshooting decision-making technique based on intelligent terminal |
| CN109740770A (en) * | 2018-12-29 | 2019-05-10 | 广州供电局有限公司 | Unit exception processing method, device, computer equipment and storage medium |
| CN109787266A (en) * | 2019-03-14 | 2019-05-21 | 中国电力科学研究院有限公司 | Extra-high voltage direct-current complex fault on-line analysis decision-making technique and system |
-
2020
- 2020-03-23 CN CN202010206410.7A patent/CN111401760B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SU1149349A1 (en) * | 1983-03-14 | 1985-04-07 | Ленинградский Ордена Ленина Политехнический Институт Им.М.И.Калинина | Device for emergency limiting of power output of electric power plant |
| CN102724071A (en) * | 2012-06-19 | 2012-10-10 | 国网电力科学研究院 | Method and system for power communication failure early warning analysis based on network model and rule models |
| CN104657793A (en) * | 2015-03-09 | 2015-05-27 | 云南昶丰科技有限公司 | Hidden failure prediction and treatment method for overhead transmission line |
| CN105515188A (en) * | 2015-12-10 | 2016-04-20 | 国网四川省电力公司成都供电公司 | Power distribution network centralized feed line automatic fault processing method |
| CN107909166A (en) * | 2017-12-21 | 2018-04-13 | 贵州电网有限责任公司 | Low-voltage distribution transformer platform district troubleshooting decision-making technique based on intelligent terminal |
| CN109740770A (en) * | 2018-12-29 | 2019-05-10 | 广州供电局有限公司 | Unit exception processing method, device, computer equipment and storage medium |
| CN109787266A (en) * | 2019-03-14 | 2019-05-21 | 中国电力科学研究院有限公司 | Extra-high voltage direct-current complex fault on-line analysis decision-making technique and system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113256068A (en) * | 2021-04-25 | 2021-08-13 | 国网宁夏电力有限公司 | Wisdom energy internet system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111401760B (en) | 2022-08-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107612756A (en) | A kind of operation management system with intelligent trouble analyzing and processing function | |
| CN107862393A (en) | A kind of IT operation management system | |
| CN101201786B (en) | Method and device for monitoring fault log | |
| CN104850093B (en) | Method and automated network for the security in monitoring automation network | |
| EP2141595B1 (en) | System and method for detecting combinations of performance indicators associated with a root cause | |
| CN102110485B (en) | Automated periodic surveillance testing method and apparatus in digital reactor protection system | |
| CN108053041B (en) | Secondary system abnormity identification and anti-misoperation system and method under multi-association scene of transformer substation | |
| CN110088744A (en) | A kind of database maintenance method and its system | |
| CN110597196A (en) | Data acquisition system and data acquisition method | |
| CN111401760B (en) | Safety and stability control device exception handling decision method and device | |
| CN110350660B (en) | Online monitoring method and system for relay protection function pressing plate | |
| KR102400956B1 (en) | A Bidirectional Control System for Power Facility | |
| CN103870349B (en) | For the configuration management device and method of data handling system | |
| CN113344739A (en) | Data safety supervision method and system for automatically checking power failure | |
| CN105469186A (en) | Risk monitoring system capable of realizing self-monitoring and self-monitoring method | |
| CN110737256B (en) | Method and device for controlling variable-frequency transmission system | |
| CN109754490A (en) | Health control method, device, medium and the equipment of brake system of electric locomotive | |
| CN113205666B (en) | Early warning method | |
| Syrotkina et al. | Mathematical Methods for Detecting and Localizing Failures in Complex Hardware/Software Systems | |
| CN107315953B (en) | Equipment safety detection system and detection method | |
| CN113172764A (en) | Mixing station monitoring method and system | |
| CN113592108A (en) | Charging fault management method of charging pile and related equipment | |
| CN111146863A (en) | Power safety detection method for transformer substation | |
| CN112578222B (en) | Power distribution terminal off-line detection method, system and platform | |
| KR20040050973A (en) | Total management system and control method for realtime monitoring of time interlock |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |