CN110336375B - Processing method and system for power grid monitoring alarm information - Google Patents
Processing method and system for power grid monitoring alarm information Download PDFInfo
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- CN110336375B CN110336375B CN201910563870.2A CN201910563870A CN110336375B CN 110336375 B CN110336375 B CN 110336375B CN 201910563870 A CN201910563870 A CN 201910563870A CN 110336375 B CN110336375 B CN 110336375B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0092—Details of emergency protective circuit arrangements concerning the data processing means, e.g. expert systems, neural networks
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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Abstract
The embodiment of the invention discloses a method and a system for processing power grid monitoring alarm information. The method comprises monitoring the objectification mapping of the alarm information, and realizing the attribution and the standardized expression of the massive alarm information; constructing typical characteristics of the monitoring alarm event based on the standardized monitoring alarm information object, and defining a preliminary monitoring alarm event rule on the basis; performing cycle self-learning and checking on the defined monitoring alarm event rule by adopting cluster analysis and association mining, and updating to form an optimized monitoring alarm event rule; and according to the monitoring alarm event rule, the monitoring alarm information is merged into a monitoring alarm event and pushed to a regulation and control man-machine interaction interface to display, handle and close the loop of the alarm event. The technical scheme provided by the embodiment of the invention improves the disposal efficiency and normalization of the monitoring service by performing event processing on the monitoring alarm information.
Description
Technical Field
The embodiment of the invention relates to the technical field of power grid dispatching automation, in particular to a method and a system for processing power grid monitoring alarm information.
Background
With the increase of the scale of a power grid, the increase of equipment and the access of intelligent stations, the monitoring alarm information amount of the power grid is very large, a monitoring alarm window is mainly adopted in the current monitoring working mode, the monitoring alarm amount required to be processed by a monitor is large, the pressure of a monitoring screen is increased sharply when faults occur frequently, and missed notification and misjudgment are easy to occur.
The centralized monitoring application and the comprehensive intelligent alarm function in the intelligent power grid dispatching control system provide technical support for power grid fault judgment and treatment and equipment monitoring operation, but the method has the problems of insufficient alarm signal identification, inaccurate analysis and irregular treatment, so that the real-time treatment efficiency of the alarm signal is reduced.
Disclosure of Invention
The embodiment of the invention provides a method and a system for processing power grid monitoring alarm information, which are used for solving the problems of insufficient identification, inaccurate analysis and irregular treatment of the existing alarm signals.
In order to realize the technical problem, the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method for processing power grid monitoring alarm information, where the method is applied to a system for processing power grid monitoring alarm information, and the method includes:
mapping the monitoring alarm information in an object manner to realize the attribute and standardized expression of the monitoring alarm information to obtain a monitoring alarm information object;
constructing typical characteristics of an event based on the standardized monitoring alarm information object, and defining a preliminary monitoring alarm event rule on the basis;
performing cycle self-learning, checking and optimizing on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule;
and according to the optimized power grid monitoring alarm event rule, merging the monitoring alarm information into a monitoring alarm event, pushing the monitoring alarm event to a regulation and control man-machine interaction interface, and displaying, disposing and closing the monitoring alarm event.
Furthermore, the monitoring alarm information comprises various telemetering and remote control information used by the power grid monitoring terminal for monitoring the states of the transformer substation, the master station and the equipment;
the object mapping of the monitoring alarm information to realize the attribute and standardized expression of the monitoring alarm information and obtain the monitoring alarm information object comprises the following steps:
a monitoring information typical template is formulated according to the attribute, interval and characteristic of monitoring alarm information, and the monitoring information typical template is an objectification and attribute expression of nonstandard monitoring alarm information;
for the monitoring alarm information newly built in the system, directly generating an object in an object triggering mode according to the attribute, interval and characteristic of the monitoring alarm information, and representing the nonstandard monitoring alarm information into a standard monitoring alarm information object under a typical template of the monitoring information;
and mapping the nonstandard monitoring alarm information into the standard monitoring alarm information object in an automatic monitoring and object mapping mode for the discrete nonstandard monitoring alarm information stored in the system.
Further, based on the normalized monitoring alarm information object, a typical feature of an event is constructed, and a preliminary monitoring alarm event rule is defined on the basis, including:
constructing a monitoring alarm information characteristic used for representing an event characteristic by the monitoring alarm information object;
defining rules of various monitoring alarm events in the power grid according to the logic relation and the topological relation among the monitoring alarm information characteristics;
and determining the classification and the grade of the monitoring alarm event according to the monitoring alarm event rule. Further, performing cycle self-learning, checking and optimization on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule, and the method comprises the following steps:
utilizing a machine learning method to perform autonomous learning and cluster analysis on the monitoring alarm information according to the defined monitoring alarm event rule to form a monitoring alarm information cluster;
performing association rule mining on the monitoring alarm information cluster after cluster analysis, and performing unsupervised cyclic learning on the defined monitoring alarm event rule to generate an additional event rule;
and intelligently checking and auditing the defined monitoring alarm event rule and the supplementary event rule, and performing autonomous optimization on the defined monitoring alarm event rule by using a deep learning method, wherein the autonomous optimization on the defined monitoring alarm event rule comprises adding, modifying, deleting and rearranging the monitoring alarm event rule.
Further, after the optimized grid monitoring alarm event rule is formed, the method further includes:
the method comprises the steps that a power grid multi-source data system is integrated, the optimized power grid monitoring alarm event rule in a production system is further checked and corrected by a big data mining method, and the maintenance, debugging, new event modification and new event expansion are distinguished and eliminated to form an intelligent monitoring alarm event rule;
the multi-source data system comprises an intelligent power grid dispatching control system, a power grid big data system, a power grid dispatching management data system and a meteorological data system.
Further, according to the optimized power grid monitoring alarm event rule, merging the monitoring alarm information into a monitoring alarm event, pushing the monitoring alarm event to a regulation and control human-computer interaction interface, and displaying, handling and closing the monitoring alarm event, wherein the method comprises the following steps:
based on an event definition rule, an event synthesis method and an event generation platform, merging the events of the monitoring alarm information to obtain the monitoring alarm event;
and pushing the monitoring alarm event to a monitoring alarm event platform and a regulation and control man-machine interaction interface, displaying, disposing and closing a loop of the monitoring alarm event, and disposing by a regulator.
Further, after the pushing the monitoring alarm event to a regulation and control human-computer interaction interface, and performing display, treatment and closed-loop of the monitoring alarm event, the method further includes:
taking a typical disposal principle as a unified and standardized task disposal step, adopting a dynamic association matching technology according to actual service requirements, and dynamically generating a task disposal strategy for monitoring alarm events through attribute association judgment and keyword fuzzy matching;
according to the monitoring alarm event task handling strategy, event-oriented task management is pushed out, the monitoring alarm event handling task is started to be generated, and the state of the monitoring alarm event is automatically updated according to the power grid condition and the event attribute change;
an event driving and scene linkage technology is adopted, a monitoring event task processing scene is automatically triggered, and a transformer substation wiring diagram, alarm information, a field video and service data of equipment state evaluation are displayed in a centralized mode;
and establishing a function interaction window with each monitoring service system to finish intelligent auxiliary treatment of the monitoring alarm event.
Further, according to the monitoring alarm event task handling policy, automatically pushing out event-oriented task management, starting to generate the monitoring alarm event handling task, and automatically updating the state of the monitoring alarm event according to the power grid condition and the event attribute change, including:
automatically generating a monitoring alarm event handling task according to the monitoring alarm event task handling strategy and the attribute information of the monitoring alarm event;
reasonably arranging the monitoring alarm event tasks according to the internal and external priorities of the monitoring alarm events, and determining a handling scheme of the monitoring alarm events;
and dynamically adjusting the task content of the monitoring alarm event based on the monitoring alarm event processing scheme and by combining the change condition of the power grid, and updating the monitoring alarm event processing scheme in real time.
Further, the intelligent assisted handling of the monitoring alarm event comprises:
and auxiliary tasks of dialing, hanging/releasing cards, blocking inhibition, remote control operation and log filling in the event task are automatically completed, and the handling condition records of all links of the monitoring alarm event task are filed.
In a second aspect, an embodiment of the present invention further provides a system for processing power grid monitoring alarm information, where the system includes:
the information object association management module is used for mapping the monitoring alarm information in an object mode, realizing the attribution and normalized expression of the monitoring alarm information and obtaining a monitoring alarm information object;
the event rule definition module is used for constructing typical characteristics of an event based on the standardized monitoring alarm information object and defining a preliminary monitoring alarm event rule on the basis;
the event rule self-learning optimization module is used for performing cyclic self-learning, checking and optimization on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule;
and the event generation module is used for merging the monitoring alarm information into a monitoring alarm event according to the optimized power grid monitoring alarm event rule, pushing the monitoring alarm event to a regulation and control man-machine interaction interface, and displaying, handling and closing the monitoring alarm event.
Further, the system further comprises:
the event handling module is used for taking a typical handling principle as a unified and standardized task handling step, adopting a dynamic association matching technology according to actual service requirements, and dynamically generating a task handling strategy for monitoring the alarm event through attribute association judgment and keyword fuzzy matching; according to the monitoring alarm event task handling strategy, automatically pushing out event-oriented task management, starting to generate an event handling task, and automatically updating according to the power grid condition and the event attribute change; an event driving and scene linkage technology is adopted, a monitoring event task processing scene is automatically triggered, and a transformer substation wiring diagram, alarm information, a field video and service data of equipment state evaluation are displayed in a centralized mode; and establishing a function interaction window with each monitoring service system to finish intelligent auxiliary treatment of the monitoring alarm event.
The processing method of the power grid monitoring alarm information provided by the embodiment of the invention comprises the steps of mapping the monitoring alarm information in an object manner, realizing the attribution and standardized expression of the monitoring alarm information and obtaining a monitoring alarm information object; constructing typical characteristics of an event based on the standardized monitoring alarm information object, and defining a preliminary monitoring alarm event rule on the basis; performing cyclic self-learning, checking and optimization on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule; and according to the optimized power grid monitoring alarm event rule, merging the monitoring alarm information into a monitoring alarm event, pushing the monitoring alarm event to a regulation and control man-machine interaction interface, and displaying, disposing and closing the monitoring alarm event. According to the method for processing the power grid monitoring alarm information, provided by the embodiment of the invention, the screen monitoring pressure of monitoring personnel is reduced by merging mass power grid monitoring alarm information into events, the standardization and standardization of monitoring services are improved, and the problems of insufficient identification, inaccurate analysis and irregular disposal of the existing alarm signals are solved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the contents of the embodiments of the present invention and the drawings without creative efforts.
Fig. 1 is a flowchart of a processing method for monitoring alarm information of a power grid according to an embodiment of the present invention;
fig. 2 is an event decision logic diagram of a power grid monitoring alarm event according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating classification of a power grid monitoring alarm event according to an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating a level of a grid monitoring alarm event according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an event monitoring window provided by an embodiment of the present invention;
fig. 6 is a flowchart of a processing method for monitoring alarm information of a power grid according to another embodiment of the present invention;
FIG. 7 is a flow diagram of a policy generation process for some standard device exception handling provided by an embodiment of the present invention;
fig. 8 is a schematic diagram of a processing system for monitoring alarm information of a power grid according to an embodiment of the present invention;
fig. 9 is a schematic diagram of another processing system for monitoring alarm information of a power grid according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
The embodiment of the invention provides a processing method of power grid monitoring alarm information. Fig. 1 is a flowchart of a processing method for monitoring alarm information of a power grid according to an embodiment of the present invention. Referring to fig. 1, the method for processing power grid monitoring alarm information provided in the embodiment of the present invention is applied to a system for processing power grid monitoring alarm information, and the method includes:
s101, mapping the monitoring alarm information in an object mode, realizing attribution and standardized expression of the monitoring alarm information, and obtaining a monitoring alarm information object.
Specifically, the typical monitoring information template is a basis for expressing event rules in a standardized and unified manner, a remote signaling table, a remote sensing table, a protection information table and the like in a smart grid dispatching control system database are combed, the typical monitoring information template is formulated according to the attribute, interval and characteristic of monitoring alarm information, and the typical monitoring information template is added to the monitoring alarm information attribute in a grid operation database. For the monitoring alarm information newly built in the system, directly generating an object in an object triggering mode according to the attribute, interval and characteristic of the monitoring alarm information, and representing the nonstandard monitoring alarm information into a standard monitoring alarm information object under a typical template of the monitoring information; and mapping the nonstandard monitoring alarm information into the standard monitoring alarm information object in an automatic monitoring and object mapping mode for the discrete nonstandard monitoring alarm information stored in the system.
S102, constructing typical characteristics of the event based on the standardized monitoring alarm information object, and defining a preliminary monitoring alarm event rule on the basis.
Specifically, according to the monitoring alarm information object, a simulation controller judges and processes the logic of the monitoring alarm information, and formulates a monitoring alarm event rule to form a preliminary power grid monitoring alarm event rule, wherein the preliminary power grid monitoring alarm event rule comprises the logic relation and the topological relation among different monitoring alarm information characteristics and the monitoring alarm event grade.
S103, performing circulating self-learning, checking and optimizing on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule.
Specifically, a machine learning method is used for performing autonomous learning and cluster analysis on the monitoring alarm information according to the defined monitoring alarm event rule to form a monitoring alarm information cluster. And mining association rules of the monitoring alarm information cluster after the cluster analysis, and performing unsupervised cyclic learning on the defined monitoring alarm event rules to generate supplementary event rules. And intelligently checking and verifying the defined monitoring alarm event rule and the supplementary event rule, and autonomously optimizing the defined monitoring alarm event rule by using a deep learning method, wherein the monitoring alarm event rule is added, modified, deleted and rearranged to form an optimized power grid monitoring alarm event rule.
And S104, merging the monitoring alarm information into a monitoring alarm event according to the optimized power grid monitoring alarm event rule, pushing the monitoring alarm event to a regulation and control man-machine interaction interface, and displaying, handling and closing the monitoring alarm event.
Specifically, according to the optimized power grid monitoring alarm event rule in the monitoring alarm event rules, the on-line monitoring alarm information of the power grid is merged into the monitoring alarm event, the generated monitoring alarm event is pushed into an event monitoring window on a regulation and control man-machine interaction interface, and a power supply network regulator performs display and treatment of the monitoring alarm event and closed-loop service treatment based on the monitoring alarm event.
The method for generating the power grid monitoring alarm event provided by the embodiment of the invention carries out object expression on monitoring alarm information in an object triggering mode based on a typical template of the monitoring information, formulates a monitoring alarm event rule, and adopts a cluster analysis and association mining method to circularly learn, check and optimize the monitoring alarm event rule to form an optimized power grid monitoring alarm event rule; according to the optimized power grid monitoring alarm event rule, the power grid online monitoring alarm information is merged into a monitoring alarm event, and the monitoring alarm event is pushed to a regulation and control man-machine interaction interface, so that the power grid monitoring alarm information is subjected to eventing synthesis, the original mode of power grid monitoring and accident handling based on information is broken through, scattered power grid monitoring alarm information is merged into events, and the monitoring content is greatly reduced. According to the method for processing the power grid monitoring alarm information, provided by the embodiment of the invention, by merging a large amount of power grid online monitoring alarm information into a monitoring alarm event, the screen monitoring pressure of monitoring personnel is reduced, the situations of missed notification, misjudgment and the like are reduced, the efficiency of real-time processing of alarm signals is improved, the standardization and normalization of monitoring services are improved, and the problems of insufficient identification, inaccurate analysis and irregular disposal of the existing monitoring alarm signals are solved.
Optionally, the monitoring alarm information includes various kinds of remote measurement and control information used by the power grid monitoring terminal to monitor the states of the substation, the master station, and the equipment.
Processing monitoring alarm information in an objectification mode, formulating a monitoring information typical template according to the attribute and the characteristic of the monitoring alarm information, and performing attribute and standardized expression on the monitoring alarm information in an object mapping and object triggering mode to obtain a monitoring alarm information object, wherein the monitoring alarm information object comprises the following steps:
firstly, a monitoring information typical template is formulated according to the attribute, interval and characteristic of monitoring alarm information, and the monitoring information typical template is a non-standard objectification and attribute expression of the monitoring alarm information.
Specifically, the typical monitoring information template is a basis for normalizing and unifying the expression event rules, and is used for combing a remote signaling table, a remote sensing table, a protection information table and the like in the intelligent power grid dispatching control system database, and adding the typical monitoring information template in each monitoring alarm information attribute.
And secondly, directly generating an object for the monitoring alarm information newly established in the system in an object triggering mode according to the attribute, interval and characteristic of the monitoring alarm information, and representing the nonstandard monitoring alarm information into a standard monitoring alarm information object under a typical monitoring information template.
Specifically, a typical monitoring information template is used as a trigger template, and monitoring alarm information of a newly accessed power grid is automatically triggered into monitoring alarm information of a uniform mapping template through modeling.
And thirdly, mapping the non-standard monitoring alarm information to the standard monitoring alarm information object in the way of automatic monitoring and object mapping for the discrete non-standard monitoring alarm information stored in the system.
Illustratively, for the equipment which is already put into operation, intelligent import is carried out in a database of the scheduling control system of the smart power grid so as to add a typical template of monitoring information, and for the equipment which is not put into operation, an automatic triggering typical template of monitoring information is carried out.
Table 1 shows a mapping table of objects of monitoring alarm information and standard monitoring alarm information at 110kV a line 781 intervals in the first substation.
TABLE 1
The manually defined alarm event rules are preliminary event rules and are also the basis for deep learning merging events. The method prescribes merging rules of events with different voltage grades, different devices and different types, gives the grade of the event according to the emergency degree, can simulate logic of judging and processing by a monitor through an alarm signal, and formulates a power grid monitoring alarm event rule. Fig. 2 is an event decision logic diagram of a power grid monitoring alarm event according to an embodiment of the present invention. Referring to fig. 2, the definition logic of the monitoring alarm event rule is that monitoring alarm information objects are firstly combined into monitoring alarm information features, then different monitoring alarm information features are combined into monitoring alarm events, and finally the monitoring alarm events which can be combined into a comprehensive event further form the comprehensive event. It should be noted that the decisive monitoring alarm information object can directly constitute the monitoring alarm information feature, the monitoring alarm information feature constitutes the monitoring alarm event, and finally the monitoring alarm event of the comprehensive event can be synthesized to further constitute the comprehensive event.
Optionally, constructing a typical characteristic of an event based on the normalized monitoring alarm information object, and defining a preliminary monitoring alarm event rule on the basis of the characteristic includes:
firstly, a monitoring alarm information feature used for representing an event feature is constructed by the monitoring alarm information object.
Illustratively, table 2 is a characteristic information table of "low-voltage reactor switch out of operation (remote operation failure)".
TABLE 2
| Serial number | Value taking mode | Interval name | Device name | Object name |
| @1 | Alarm system | Manual control | ||
| @2 | Alarm system | Low-voltage reactor | Circuit breaker position | |
| @3 | Real-time library | Low-voltage reactor | Circuit breaker position |
Referring to table 2, taking the feature of "the low voltage reactor switch exits from operation (remote operation failure)" as an example, the feature can be represented by the logical combination of the monitoring alarm information objects in table 2, where the expression is @1=0&! @2=0& @3=1, that is, when a control signal of the reactor does not occur and a position change of the low-voltage reactor does not occur and the real-time state of the reactor is in an input state, the characteristic that the low-voltage reactor switch is out of operation (remote operation failure) is met.
Table 3 is a characteristic information table of "line fault accompanying signal".
TABLE 3
Referring to table 3, taking the feature of "line fault accompanied signal" as an example, the combination of the alarm information objects is monitored, and the expression is null, which means that these signals may or may not be activated.
And secondly, defining rules of various monitoring alarm events in the power grid according to the logic relation and the topological relation among the monitoring alarm information characteristics.
Specifically, the topological relation refers to the physical range of the alarm event, including the system, the plant, the interval, and the like; logical relationships refer to operations between features of monitoring alarm events, including AND, OR, and NOT. The monitoring alarm event is formed by combining all monitoring alarm information characteristics contained in the monitoring alarm event according to a certain topological relation and a certain logical relation, wherein the topological relation and the logical relation are synthesis rules of the monitoring alarm event, namely the monitoring alarm event rule. The monitoring alarm event rules specify the topological and logical conditions that the composition of the monitoring alarm event needs to satisfy.
Table 4 is an event composition table of "110kV line fault (reclosing failure)".
TABLE 4
| Serial number | Monitoring feature names of alarm events | Principal characteristics | Range |
| @1 | Total station accident | General characteristics | Same station |
| @2 | 110kV accident assembly | General features | Same station |
| @3 | Line protection outlet | Is mainly characterized in that | At the same interval |
| @4 | 110kV line switch is not moved by coincidence | General features | At the same interval |
| @5 | 110kV line switch separating brake | Is mainly characterized in that | At the same interval |
| @6 | 110kV line switch closing | General features | At the same interval |
| @7 | Line fault accompanied signal | Companion feature | At the same interval |
Referring to table 4, taking "110kV line fault (reclosing failure)" as an example, the characteristics of the monitoring alarm events form a monitoring alarm event rule for synthesizing the monitoring alarm events according to a certain logical relationship and topological relationship, that is, the characteristics of 7 monitoring alarm events are according to the logical rule (@ 1| @2| @ 3) & @4& @ @5& |) according to the characteristics of the 7 monitoring alarm events! @ 6. If several of the monitoring alarm events can form a composite event, the monitoring alarm events that can form the composite event can further be combined into a composite event.
And thirdly, determining the classification and the grade of the monitoring alarm event according to the monitoring alarm event rule.
Specifically, fig. 3 is a schematic diagram of classification of a power grid monitoring alarm event according to an embodiment of the present invention. Referring to fig. 3, the monitoring alarm events may include an accident trip, an equipment failure anomaly, and an equipment operational anomaly. The accident tripping comprises line faults, main transformer faults, bus faults, capacitive reactance faults, breaker faults and the like; the equipment fault abnormity comprises primary equipment fault abnormity, secondary equipment abnormity, auxiliary equipment abnormity, support system fault abnormity and the like; the abnormal operation of the equipment comprises bus out-of-limit, line overload, main transformer overtemperature, bus grounding and the like.
Fig. 4 is a schematic diagram of a level of a power grid monitoring alarm event according to an embodiment of the present invention. Referring to fig. 4, the level of the monitoring alarm event in the power grid directly determines the severity of the event handled by the monitor, and the level of the monitoring alarm event is divided into five levels, namely accident, emergency, severity, general and notification. The accident is a tripping event needing to be immediately processed, such as a line accident, a main transformer accident, a bus fault and the like; the emergency is an alarm event which needs to be processed immediately, and comprises serious power grid equipment failure which does not relate to tripping or at least comprises emergency alarm information, or serious frequency fluctuation of any information and the like; the serious monitoring alarm event which can be processed in a delayed way comprises serious grid equipment failure or at least comprises monitoring alarm information with serious highest grade or moderate frequency fluctuation of any information and the like; generally, monitoring alarm information which can not be processed for a long time comprises abnormal power grid equipment with little influence on safety or at least comprises monitoring alarm information with the highest level being general or slight frequency movement of any information and the like; the notification is a monitoring alarm event which does not need to be processed, and comprises operation events such as main transformer gear shifting of the switch disconnecting link, remote local position switching or field debugging signals and the like.
Optionally, performing cyclic self-learning, checking and optimizing on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule,
the method comprises the following steps:
firstly, the monitoring alarm information is subjected to autonomous learning and cluster analysis by using a machine learning method according to the defined monitoring alarm event rule to form a monitoring alarm information cluster.
Specifically, firstly, synthesizing the massive monitoring alarm information into an initial event block according to the monitoring alarm event rule in the monitoring alarm event rule, then inputting the synthesized initial event block and the uncomposited scattered monitoring alarm information into a clustering module together as data elements, and carrying out clustering analysis according to a dynamic time window to form a monitoring alarm information cluster.
And secondly, mining association rules of the cluster of the monitoring alarm information after the cluster analysis, and performing unsupervised cyclic learning on the defined monitoring alarm event rules to generate supplementary event rules.
Specifically, association rule mining is carried out on the monitoring alarm information cluster after clustering analysis, association relation of data elements in the monitoring alarm information cluster after clustering is found out, strong association rules are temporarily listed in the monitoring alarm event rules, and the strong association rules are returned to a clustering analysis module to form unsupervised cyclic learning, and finally supplementary event rules are generated.
And thirdly, intelligently checking and auditing the defined monitoring alarm event rule and the supplementary event rule, and autonomously optimizing the defined monitoring alarm event rule by using a deep learning method, wherein the autonomous optimization of the defined monitoring alarm event rule comprises the steps of adding, modifying, deleting and rearranging the monitoring alarm event rule.
Specifically, the augmented association rule, namely the augmented association rule, is intelligently checked through a deep learning method, the successfully checked strong association rule is checked manually, and the monitoring alarm event is labeled and updated to the monitoring alarm event rule after the checking is passed.
Optionally, after the optimized power grid monitoring alarm event rule is formed, the method further includes:
and integrating the power grid multi-source data system, further checking and correcting the optimized power grid monitoring alarm event rule in the production system by using a big data mining method, and distinguishing and eliminating overhaul, debugging, newly changed events and newly expanded events to form an intelligent monitoring alarm event rule.
The multi-source data system comprises a power grid big data system, a power grid dispatching management data system and a meteorological data system. Optionally, according to the optimized power grid monitoring alarm event rule, merging the monitoring alarm information into a monitoring alarm event, pushing the monitoring alarm event to a regulation and control human-computer interaction interface, and performing display, handling and closed-loop of the monitoring alarm event, including:
firstly, event merging is carried out on the monitoring alarm information based on an event definition rule, an event synthesis method and an event generation platform, and the monitoring alarm event is obtained.
Specifically, based on a smart grid dispatching control system, an event definition window, an event synthesis program and an event monitoring window are developed, and event merging is carried out on monitoring alarm information according to a monitoring alarm event rule. Optionally, event merging is performed on the online monitoring alarm information of the power grid according to the monitoring alarm event rule, which may include: in the power grid operation management area, monitoring alarm event rules are utilized, a multi-source data system is integrated, monitoring alarm information is synthesized into monitoring alarm events, and the monitoring alarm events in the production operation area are checked, wherein the multi-source data system comprises an intelligent power grid scheduling control system, a big data system, a scheduling operation management system and a meteorological data system.
And table 5 shows the online monitoring and warning information of the power grid in a certain time period.
TABLE 5
Referring to table 5, the online monitoring alarm information of the power grid in a certain time period is merged into the monitoring alarm event according to the monitoring alarm event rule, the monitoring alarm information of the power grid in the event window is synthesized according to the rule in the monitoring alarm event rule, and the generated event is shown in table 6.
Table 6 is a monitoring alarm event table into which the monitoring alarm information in table 5 is merged.
TABLE 6
And secondly, pushing the monitoring alarm event to a monitoring alarm event platform and a regulation and control man-machine interaction interface, displaying, disposing and closing the monitoring alarm event, and disposing by a person to be regulated and controlled.
Specifically, fig. 5 is a schematic diagram of an event monitoring window on a human-computer interaction interface according to an embodiment of the present invention. Referring to fig. 5, the synthesized monitoring alarm event is pushed to a monitoring alarm event platform, and different monitoring alarm events are displayed on the monitoring alarm event platform.
Optionally, an embodiment of the present invention provides another method for processing power grid monitoring alarm information. Fig. 6 is a flowchart of another processing method for monitoring alarm information of a power grid according to an embodiment of the present invention. Referring to fig. 6, a method for processing power grid monitoring alarm information according to the embodiment of the present invention includes:
s601, mapping the monitoring alarm information in an object mode, realizing attribution and standardized expression of the monitoring alarm information, and obtaining a monitoring alarm information object.
S602, constructing typical characteristics of the event based on the standardized monitoring alarm information object, and defining a preliminary monitoring alarm event rule on the basis.
And S603, performing circulating self-learning, checking and optimizing on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule.
S604, merging the monitoring alarm information into a monitoring alarm event according to the optimized power grid monitoring alarm event rule, pushing the monitoring alarm event to a regulation and control man-machine interaction interface, and displaying, handling and closing the monitoring alarm event.
And S605, taking a typical handling principle as a task handling step with unified specification, and dynamically generating a task handling strategy for monitoring the alarm event through attribute association judgment and keyword fuzzy matching by adopting a dynamic association matching technology according to actual service requirements.
Specifically, the specification of task handling is based on the standard monitoring information handling requirement, and a dynamic keyword matching technology is adopted to extract key information in the power grid monitoring alarm event and dynamically generate a monitoring alarm event task handling strategy which accords with the actual processing process of the monitoring alarm event. Optionally, a dynamic keyword matching technique is adopted, and a monitoring alarm event task handling policy is dynamically generated, including:
firstly, a typical monitoring information processing principle is used as a unified and standardized task processing step, and a dynamic keyword matching technology is adopted to extract key information in a monitoring alarm event according to actual service requirements. And secondly, dynamically generating a monitoring alarm event task handling strategy which accords with the actual processing process of the monitoring alarm event. And thirdly, based on the monitoring service disposal standard, disposing the monitoring alarm event by adopting a task step execution mode.
Based on the monitoring service handling specification, the monitoring event is handled in a task step execution mode, the method has the characteristics of specification and accuracy of the handling process, flexible adjustment in the handling process and the like, and the working efficiency of a monitor in handling the monitoring alarm event is improved.
Illustratively, the standard equipment exception handling strategy comprises a handling strategy of checking monitoring alarm information, notifying relevant operation and maintenance class field inspection, notifying relevant scheduling, calling and reading a monitoring big data familial defect function module, carrying out analysis, calling an information section comparison function, tracking field inspection feedback conditions, filling a scheduling management log and a defect listing after confirming an exception, and supervising and eliminating the exception.
Illustratively, fig. 7 is a flow chart of a policy generation process for some standard device exception handling provided by an embodiment of the present invention. Referring to fig. 7, a signal is determined to be an automation fault and processing options include: listing, blocking, restraining, dispatching calls, filling in defect records and the like, performing event reminding on overdue defects, closing a defect work list, unlocking a card, unlocking the lock, perfecting the defect records and the like.
S606, according to the monitoring alarm event task processing strategy, event-oriented task management is proposed, the generation of the monitoring alarm event processing task is started, and the state of the monitoring alarm event is automatically updated according to the power grid condition and event attribute change.
Specifically, firstly, a monitoring alarm event handling task is automatically generated according to a monitoring alarm event task handling strategy and attribute information of a monitoring alarm event; reasonably arranging the tasks of the monitoring alarm events according to the internal and external priorities of the monitoring alarm events, and determining a handling scheme of the monitoring alarm events; and thirdly, dynamically adjusting the task content of the monitoring alarm event based on the monitoring alarm event handling scheme and in combination with the change condition of the power grid, and updating the monitoring alarm event handling scheme in real time. The overall process task management auxiliary treatment facing the monitoring alarm event comprises the following steps: the method comprises the steps of event handling strategy, task handling generation, task optimization distribution, handling scheme arrangement, task handling tracking and the like, and can complete program operations such as automatic plate hanging and releasing, automatic log entry and one-key sequential control. According to a monitoring alarm event task processing strategy, a monitoring event task processing platform is built, and the state of the monitoring alarm event is automatically updated in real time according to the power grid condition and the change of the event attribute, so that the generated event processing task is good in accuracy and high in reliability.
And S607, automatically triggering a monitoring event task processing scene by adopting an event driving and scene linkage technology, and intensively displaying a transformer substation wiring diagram, alarm information, a field video and service data of equipment state evaluation.
Specifically, the integrated agent platform integrated by the multi-service system performs linkage display and disposal on services, and realizes multi-service scene display and switching control through intelligent auxiliary disposal of monitoring alarm events. The scenes comprise an overall scene, an accident handling scene, an abnormal handling scene and the like, and each scene can be automatically triggered to be switched to other scenes without manual participation.
And S608, establishing a function interaction window with each monitoring service system, and completing intelligent auxiliary treatment of the monitoring alarm event.
Specifically, the intelligent auxiliary treatment of the monitoring alarm event comprises the auxiliary tasks of automatically completing call making, card hanging/releasing, blocking inhibition, remote control operation and log filling in the event task, and records and files the treatment condition of each link of the monitoring alarm event task.
Illustratively, monitoring intelligent secondary handling of alarm events may include: automatically checking the generation condition of the monitoring alarm event task according to the processing strategy of the monitoring alarm event task and the attribute information of the monitoring alarm event, and generating the monitoring alarm event task; automatically judging the suitable people selection based on the work load condition of the current monitoring personnel, and automatically pushing the suitable people selection; reasonably arranging the tasks of the monitoring alarm events according to the internal and external priorities of the monitoring alarm events, and determining a handling scheme of the monitoring alarm events; based on the monitoring alarm event handling scheme, in combination with the change condition of the power grid, dynamically adjusting the task content of the monitoring alarm event, and updating the monitoring alarm event handling scheme in real time; and recording and archiving the handling conditions of all links of the task of monitoring the alarm event.
The whole process of intelligent auxiliary treatment of the monitoring alarm event can be tracked and traced, automatic plate hanging and releasing, automatic log entry of the monitoring log, one-key sequential control and the like can be realized, and the working pressure of monitoring personnel is reduced.
Fig. 8 is a schematic diagram of a processing system for monitoring alarm information of a power grid according to an embodiment of the present invention. Referring to fig. 8, the system for processing the power grid monitoring alarm information according to the embodiment of the present invention includes an information object association management module, an event rule definition module, an event rule self-learning optimization module, and an event generation module.
The information object association management module 100 is configured to perform object mapping on the monitoring alarm information, implement attribution and normalized expression on the monitoring alarm information, and obtain a monitoring alarm information object.
And the event rule defining module 200 is configured to construct typical characteristics of an event based on the standardized monitoring alarm information object, and define a preliminary monitoring alarm event rule based on the typical characteristics.
And the event rule self-learning optimization module 300 is used for performing cycle self-learning, checking and optimization on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule.
And the event generating module 400 is configured to merge the monitoring alarm information into a monitoring alarm event according to the optimized power grid monitoring alarm event rule, and push the monitoring alarm event to a regulation and control human-computer interaction interface to perform display, handling and closed-loop of the monitoring alarm event.
Optionally, fig. 9 is a schematic diagram of another processing system for monitoring alarm information of a power grid according to an embodiment of the present invention. Referring to fig. 9, the system for processing power grid monitoring alarm information according to the embodiment of the present invention further includes:
the event handling module 500 is configured to use a typical handling principle as a unified and standardized task handling step, and dynamically generate a monitoring alarm event task handling policy according to actual service requirements by attribute association judgment and keyword fuzzy matching by using a dynamic association matching technology; according to the monitoring alarm event task handling strategy, automatically pushing out event-oriented task management, starting to generate an event handling task, and automatically updating according to the power grid condition and the event attribute change; an event driving and scene linkage technology is adopted, a monitoring event task processing scene is automatically triggered, and a transformer substation wiring diagram, alarm information, a field video and service data of equipment state evaluation are displayed in a centralized mode; and establishing a function interaction window with each monitoring service system to finish intelligent auxiliary treatment of the monitoring alarm event.
The processing system for the power grid monitoring alarm information provided by the embodiment of the invention comprises an information object association management module, an event rule definition module, an event rule self-learning optimization module and an event generation module. The processing system for the power grid monitoring alarm information, provided by the embodiment of the invention, is used for mapping the monitoring alarm information in an object manner, realizing the attribution and standardized expression of the monitoring alarm information and obtaining a monitoring alarm information object; constructing typical characteristics of an event based on the standardized monitoring alarm information object, and defining a preliminary monitoring alarm event rule on the basis; performing cycle self-learning, checking and optimization on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule; and merging the monitoring alarm information into a monitoring alarm event according to the optimized power grid monitoring alarm event rule, pushing the monitoring alarm event to a regulation and control human-computer interaction interface, and displaying, handling and closing the monitoring alarm event. According to the generation system of the power grid monitoring alarm event, provided by the embodiment of the invention, by merging mass power grid monitoring alarm information into the event, the screen monitoring pressure of monitoring personnel is reduced, the standardization and standardization of monitoring services are improved, the monitoring services form a standard and unified task flow, the standardization rate is improved, the error rate is reduced, the working efficiency is improved, and the screen monitoring pressure is reduced.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A processing method for power grid monitoring alarm information is applied to a processing system for power grid monitoring alarm information, and comprises the following steps:
mapping the monitoring alarm information in an object manner to realize the attribution and standardized expression of the monitoring alarm information to obtain a monitoring alarm information object;
constructing typical characteristics of an event based on the standardized monitoring alarm information object, and defining a preliminary monitoring alarm event rule on the basis;
performing cycle self-learning, checking and optimizing on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule;
merging the monitoring alarm information into a monitoring alarm event according to the optimized power grid monitoring alarm event rule, pushing the monitoring alarm event to a regulation and control man-machine interaction interface, and displaying, disposing and closing the monitoring alarm event;
the monitoring alarm information comprises various telemetering information and remote control information which are used by the power grid monitoring terminal for monitoring the states of the transformer substation, the master station and the equipment;
the objectification mapping of the monitoring alarm information is used for realizing the attribution and the standardized expression of the monitoring alarm information to obtain a monitoring alarm information object, and comprises the following steps:
a monitoring information typical template is formulated according to the attribute, interval and characteristic of monitoring alarm information, and the monitoring information typical template is an objectification and attribute expression of nonstandard monitoring alarm information;
for the monitoring alarm information newly built in the system, directly generating an object in an object triggering mode according to the attribute, interval and characteristic of the monitoring alarm information, and representing the nonstandard monitoring alarm information into a standard monitoring alarm information object under a typical template of the monitoring information;
for discrete non-standard monitoring alarm information stored in a system, mapping the non-standard monitoring alarm information into the standard monitoring alarm information object in an automatic monitoring and object mapping mode;
the monitoring alarm information object based on the specification constructs typical characteristics of an event, and defines a preliminary monitoring alarm event rule on the basis, wherein the preliminary monitoring alarm event rule comprises the following steps:
constructing a monitoring alarm information characteristic used for representing an event characteristic by the monitoring alarm information object;
defining rules of various monitoring alarm events in the power grid according to the logic relation and the topological relation among the monitoring alarm information characteristics;
and determining the classification and the grade of the monitoring alarm event according to the monitoring alarm event rule.
2. The method of claim 1, wherein performing a cycle of self-learning, checking and optimizing on the defined monitoring alarm event rules using cluster analysis and association mining to form optimized grid monitoring alarm event rules comprises:
utilizing a machine learning method to perform autonomous learning and cluster analysis on the monitoring alarm information according to the defined monitoring alarm event rule to form a monitoring alarm information cluster;
performing association rule mining on the monitoring alarm information cluster after cluster analysis, and performing unsupervised cyclic learning on the defined monitoring alarm event rule to generate an additional event rule;
and intelligently checking and auditing the defined monitoring alarm event rule and the supplementary event rule, and performing autonomous optimization on the defined monitoring alarm event rule by using a deep learning method, wherein the autonomous optimization on the defined monitoring alarm event rule comprises adding, modifying, deleting and rearranging the monitoring alarm event rule.
3. The method of claim 1, after forming the optimized grid monitoring alarm event rule, further comprising:
the method comprises the steps of integrating a power grid multi-source data system, further checking and correcting the optimized power grid monitoring alarm event rule in a production system by using a big data mining method, and distinguishing and eliminating overhaul, debugging, newly changed events and newly expanded events to form an intelligent monitoring alarm event rule;
the multi-source data system comprises an intelligent power grid dispatching control system, a power grid big data system, a power grid dispatching management data system and a meteorological data system.
4. The method according to claim 1, wherein according to the optimized power grid monitoring alarm event rule, merging the monitoring alarm information into a monitoring alarm event, pushing the monitoring alarm event to a regulation and control human-computer interaction interface, and performing display, treatment and closed-loop of the monitoring alarm event comprises:
based on an event definition rule, an event synthesis method and an event generation platform, merging the events of the monitoring alarm information to obtain the monitoring alarm event;
and pushing the monitoring alarm event to a monitoring alarm event platform and a regulation and control man-machine interaction interface, displaying, disposing and closing a loop of the monitoring alarm event, and disposing by a person to be regulated and controlled.
5. The method of claim 1, further comprising, after the pushing the monitoring alert event to a control human machine interface, displaying, handling, and closing a loop of the monitoring alert event:
taking a typical handling principle as a unified and standardized task handling step, adopting a dynamic association matching technology according to actual service requirements, and dynamically generating a task handling strategy for monitoring alarm events through attribute association judgment and keyword fuzzy matching;
according to the monitoring alarm event task processing strategy, event-oriented task management is released, the monitoring alarm event processing task is started and generated, and the state of the monitoring alarm event is automatically updated according to the power grid condition and the event attribute change;
an event driving and scene linkage technology is adopted, a monitoring event task processing scene is automatically triggered, and a transformer substation wiring diagram, alarm information, a field video and service data of equipment state evaluation are displayed in a centralized manner;
and establishing a function interaction window with each monitoring service system to finish intelligent auxiliary treatment of the monitoring alarm event.
6. The method according to claim 5, wherein the pushing out event-oriented task management according to the monitoring alarm event task handling policy, starting generation of the monitoring alarm event handling task, and automatically updating the state of the monitoring alarm event according to the grid condition and the change of the event attribute comprises:
automatically generating a monitoring alarm event handling task according to the monitoring alarm event task handling strategy and the attribute information of the monitoring alarm event;
reasonably arranging the monitoring alarm event tasks according to the internal and external priorities of the monitoring alarm events, and determining a handling scheme of the monitoring alarm events;
and dynamically adjusting the task content of the monitoring alarm event based on the monitoring alarm event processing scheme and by combining the change condition of the power grid, and updating the monitoring alarm event processing scheme in real time.
7. The method of claim 5, wherein monitoring for intelligent assistance with the handling of the alarm event comprises:
and auxiliary tasks of dialing, hanging/releasing cards, blocking inhibition, remote control operation and log filling in the event task are automatically completed, and the handling condition records of all links of the monitoring alarm event task are filed.
8. A processing system for monitoring alarm information of a power grid is characterized by comprising:
the information object association management module is used for mapping the monitoring alarm information in an object mode, realizing the attribution and normalized expression of the monitoring alarm information and obtaining a monitoring alarm information object;
the event rule definition module is used for constructing typical characteristics of the event based on the standardized monitoring alarm information object and defining a preliminary monitoring alarm event rule on the basis;
the event rule self-learning optimization module is used for performing cyclic self-learning, checking and optimization on the defined monitoring alarm event rule by adopting cluster analysis and association mining to form an optimized power grid monitoring alarm event rule;
the event generation module is used for merging the monitoring alarm information into a monitoring alarm event according to the optimized power grid monitoring alarm event rule, pushing the monitoring alarm event to a regulation and control man-machine interaction interface, and displaying, handling and closing the monitoring alarm event;
the monitoring alarm information comprises various telemetering information and remote control information which are used by the power grid monitoring terminal for monitoring the states of the transformer substation, the master station and the equipment;
the objectification mapping of the monitoring alarm information is used for realizing the attribution and the standardized expression of the monitoring alarm information to obtain a monitoring alarm information object, and comprises the following steps:
a monitoring information typical template is formulated according to the attribute, interval and characteristic of monitoring alarm information, and the monitoring information typical template is an objectification and attribute expression of nonstandard monitoring alarm information;
for the monitoring alarm information newly built in the system, directly generating an object in an object triggering mode according to the attribute, interval and characteristic of the monitoring alarm information, and representing the nonstandard monitoring alarm information into a standard monitoring alarm information object under a typical template of the monitoring information;
for discrete non-standard monitoring alarm information stored in a system, mapping the non-standard monitoring alarm information into the standard monitoring alarm information object in an automatic monitoring and object mapping mode;
the monitoring alarm information object based on the specification constructs typical characteristics of events, and defines a preliminary monitoring alarm event rule on the basis, wherein the rules comprise the following steps:
constructing a monitoring alarm information characteristic used for representing an event characteristic by the monitoring alarm information object;
defining rules of various monitoring alarm events in the power grid according to the logic relation and the topological relation among the monitoring alarm information characteristics;
and determining the classification and the grade of the monitoring alarm event according to the monitoring alarm event rule.
9. The system of claim 8, further comprising:
the event handling module is used for taking a typical handling principle as a unified and standardized task handling step, adopting a dynamic association matching technology according to actual service requirements, and dynamically generating a monitoring alarm event task handling strategy through attribute association judgment and keyword fuzzy matching; according to the monitoring alarm event task handling strategy, automatically pushing out event-oriented task management, starting to generate an event handling task, and automatically updating according to the power grid condition and the event attribute change; an event driving and scene linkage technology is adopted, a monitoring event task processing scene is automatically triggered, and a transformer substation wiring diagram, alarm information, a field video and service data of equipment state evaluation are displayed in a centralized manner; and establishing a function interaction window with each monitoring service system to finish intelligent auxiliary treatment of the monitoring alarm event.
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| CN111313355B (en) * | 2020-03-02 | 2022-06-10 | 国网江苏省电力有限公司南京供电分公司 | Method for updating monitoring signal event rule under manual supervision |
| CN113541303A (en) * | 2020-04-14 | 2021-10-22 | 广西电网有限责任公司贺州供电局 | Intelligent identification auxiliary method for scheduling monitoring information |
| CN111898647B (en) * | 2020-07-07 | 2022-12-09 | 贵州电网有限责任公司 | Clustering analysis-based low-voltage distribution equipment false alarm identification method |
| CN112148933B (en) * | 2020-10-26 | 2024-05-03 | 青岛明略软件技术开发有限公司 | Map conversion method and device for analysis result of power grid alarm event rule |
| CN112598023B (en) * | 2020-12-02 | 2024-01-26 | 国网青海省电力公司海东供电公司 | Intelligent identification and automatic mapping method and device for power grid monitoring alarm information |
| CN113570474A (en) * | 2021-06-30 | 2021-10-29 | 国网江苏省电力有限公司南京供电分公司 | Monitoring system for power grid event response |
| CN113377623B (en) * | 2021-07-02 | 2024-05-28 | 华青融天(北京)软件股份有限公司 | Automatic generation method and device of alarm rules and electronic equipment |
| CN115016882B (en) * | 2022-06-28 | 2024-06-07 | 上海浦东发展银行股份有限公司 | Monitoring interface generation method, device, equipment and storage medium |
| CN116226125A (en) * | 2023-02-07 | 2023-06-06 | 中国水利水电科学研究院 | Method and system for expressing industrial alarm information based on state association rule |
| CN117149587B (en) * | 2023-08-28 | 2024-05-31 | 招商基金管理有限公司 | Monitoring ledger management method, device, storage medium and equipment |
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