CN111797287A - Energy-saving electric power cabinet control method and device based on remote control alarm recognition - Google Patents

Energy-saving electric power cabinet control method and device based on remote control alarm recognition Download PDF

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CN111797287A
CN111797287A CN202010657335.6A CN202010657335A CN111797287A CN 111797287 A CN111797287 A CN 111797287A CN 202010657335 A CN202010657335 A CN 202010657335A CN 111797287 A CN111797287 A CN 111797287A
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information
alarm
target
energy
determining
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马贞超
李绍兵
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/90335—Query processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/185—Electrical failure alarms
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • 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
    • H02J13/00002—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 monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • 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
    • H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • 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
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • 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
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
    • 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
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment

Abstract

The embodiment of the application provides an energy-saving electric power cabinet control method and device based on remote control alarm recognition, multiple current electric power operation parameters running in an energy-saving electric power cabinet are collected from the energy-saving electric power cabinet according to preset monitoring nodes, operation item sequences of the current electric power operation parameters are extracted, an energy-saving electric power cabinet data area is configured, then alarm matching object information of a target energy-saving electric power cabinet in an association relation with the energy-saving electric power cabinet is determined, current alarm simulation trend information corresponding to the current electric power operation parameters is determined, whether the current alarm simulation trend information is abnormal or not is judged, and therefore when the current alarm simulation trend information is abnormal, a current alarm remote control instruction corresponding to the current alarm simulation trend information is generated to carry out alarm remote control, and alarm accuracy can be improved.

Description

Energy-saving electric power cabinet control method and device based on remote control alarm recognition
Technical Field
The application relates to the technical field of electric power cabinet alarm safety, in particular to a control method and device of an energy-saving electric power cabinet based on remote control alarm identification.
Background
The electric power cabinet is one of the important component parts in the power equipment, and because too many electric power parts are installed in the electric power cabinet, more abnormal events can be generated in the long-time operation process, if the problem that the electric power parts are easily burnt out, the electric power equipment is short-circuited. Therefore, the alarm remote control is carried out aiming at the electric power operation parameters of the electric power cabinet so as to improve the accuracy of alarm, and the technical problem to be solved urgently in the field is solved.
Disclosure of Invention
In order to overcome at least the above defects in the prior art, the present application aims to provide a method and an apparatus for controlling an energy-saving power cabinet based on remote alarm recognition, when current alarm simulation trend information is abnormal, a current alarm remote control instruction corresponding to the current alarm simulation trend information is generated for alarm remote control, so that the accuracy of alarm can be improved.
In a first aspect, the present application provides an energy-saving power cabinet control method based on remote alarm recognition, which is applied to a server in communication connection with each energy-saving power cabinet, and the method includes:
collecting multiple current power operation parameters running in the energy-saving power cabinet from the energy-saving power cabinet according to preset monitoring nodes, extracting operation item sequences of the current power operation parameters, and configuring an energy-saving power cabinet data area, wherein the energy-saving power cabinet data area is a multi-unit area, each unit area corresponds to one operation item sequence of the current power operation parameters, and each unit area of the energy-saving power cabinet data area has different first alarm matching object parameters;
determining alarm matching object information of a target energy-saving electric cabinet in an incidence relation with the energy-saving electric cabinet from a preset database, and determining at least one target operation item sequence in a matching relation with the operation item sequence in the energy-saving electric cabinet data area from the alarm matching object information of the target energy-saving electric cabinet in the incidence relation with the energy-saving electric cabinet;
mapping the target operation item sequence to the energy-saving electric power cabinet data area to obtain a target area of the target operation item sequence in the energy-saving electric power cabinet data area, determining a second alarm matching object parameter of the target area according to the abnormal parameter between the target area and each unit area in the energy-saving electric power cabinet data area, and respectively performing information identification on the target operation item sequence and each operation item sequence to obtain a first information identification component corresponding to the target operation item sequence and a second information identification component corresponding to each operation item sequence;
for each second information identification component, fusing the second information identification component based on a comparison result between a first alarm matching object parameter corresponding to the second information identification component and a second alarm matching object parameter corresponding to the first information identification component to obtain a second target information identification component, determining a matching parameter result between the second target information identification component and the first information identification component, and then determining current alarm simulation trend information corresponding to the current electric power operation parameter according to the determined matching parameter result between each second target information identification component and the first information identification component;
and judging whether the current alarm simulation trend information is abnormal or not, and generating a current alarm remote control instruction corresponding to the current alarm simulation trend information according to a pre-generated alarm remote control program of the alarm matching object information and the current alarm simulation trend information when the current alarm simulation trend information is abnormal.
In a possible design of the first aspect, the extracting an operation item sequence of various current power operation parameters and configuring a data area of an energy-saving power cabinet includes:
for each current power operation parameter, determining control content information of the current power operation parameter according to operation analysis content in the current power operation parameter and determining a control mode label of the current power operation parameter based on the control content information of the current power operation parameter;
aiming at each determined control mode label, obtaining a label table entry corresponding to the control mode label, and extracting specific content from a control database in the current power operation parameter corresponding to the control mode label according to the label table entry corresponding to the control mode label to obtain first specific label content corresponding to the control mode label;
for a plurality of label content nodes included in each first specific label content, determining a sorting mode corresponding to the first specific label content according to a control mode label corresponding to the first specific label content, and sorting the plurality of label content nodes in the first specific label content according to the sorting mode corresponding to the first specific label content to obtain a second specific label content corresponding to the first specific label content;
for each second specific label content, splicing all label content nodes which are sequenced in the second specific label content according to the alarm rule vector in the label table entry corresponding to the second specific label content to obtain an operating item sequence of the current power operating parameter corresponding to the second specific label content;
polling each obtained operation item sequence according to the set polling times to obtain each polling result;
wherein, each polling result comprises a polling sequence for polling each operation item sequence and an alarm adaptive numerical value corresponding to each operation item sequence;
and configuring a data filling sequence according to a polling sequence included in each polling result, and adding each operation item sequence into the data filling sequence to obtain the data area of the energy-saving power cabinet.
In a possible design of the first aspect, the determining, from a preset database, alarm matching object information of a target energy-saving power cabinet having an association relationship with the energy-saving power cabinet includes:
determining historical electric power operation parameters in a last preset monitoring node corresponding to each current electric power operation parameter according to the storage time information corresponding to each current electric power operation parameter in the multiple current electric power operation parameters;
inquiring and obtaining alarm trend track information of the energy-saving electric power cabinet in the last preset monitoring node based on each historical electric power operation parameter;
generating a corresponding target feedback behavior sequence used for representing the energy-saving power cabinet under each group of alarm trend track information according to each group of alarm trend track information;
extracting a feedback strategy associated with each target feedback behavior in each target feedback behavior sequence aiming at each target feedback behavior sequence;
determining a feedback execution label of each feedback strategy in all feedback strategies corresponding to each target feedback behavior sequence, and determining a first alarm type identifier corresponding to each target feedback behavior sequence according to each feedback execution label;
determining a target energy-saving power cabinet corresponding to each target feedback behavior sequence based on each first alarm type identifier, wherein a matching parameter between a second alarm type identifier of the target energy-saving power cabinet corresponding to each target feedback behavior sequence and the first alarm type identifier corresponding to the target feedback behavior sequence is greater than a set value;
determining target alarm simulation trend information corresponding to each target energy-saving power cabinet, and sequentially performing feature extraction on the determined target alarm simulation trend information to obtain a third information identification component corresponding to each target alarm simulation trend information;
determining a fourth information identification component of each target feedback behavior sequence and fusing the fourth information identification component of each target feedback behavior sequence according to a first alarm type identifier corresponding to each target feedback behavior sequence to obtain a fifth information identification component;
determining first relevance degrees between the fifth information identification components and each third information identification component respectively, and sequencing target alarm simulation trend information corresponding to each third information identification component according to the descending sequence of the first relevance degrees to obtain a sequencing sequence;
determining monitoring pull information according to the preset monitoring nodes, and capturing target alarm simulation trend information of a corresponding quantity to the monitoring pull information from the sequencing sequence according to the monitoring pull information to obtain a plurality of target alarm simulation trend information to be processed;
for each target to be processed, fusing a third information identification component corresponding to the target to be processed alarm simulation trend information based on a second alarm type identifier corresponding to the target to be processed alarm simulation trend information to obtain a sixth information identification component;
respectively determining a second association degree between the fifth information identification component and each sixth information identification component;
determining the minimum value and the maximum value of the second correlation degree and generating a correlation degree value interval according to the minimum value and the maximum value;
determining the splitting frequency of the associated degree value interval according to the area total number in the energy-saving power cabinet data area and the size relation of the data capacity of each area;
dividing the association degree numerical value interval based on the splitting frequency to obtain a plurality of numerical value intervals;
determining an adjustment coefficient of each numerical value interval according to a first alarm matching object parameter corresponding to each unit area in the energy-saving power cabinet data area;
adjusting the interval range of each numerical interval based on the adjustment coefficient of each numerical interval;
counting the accumulated quantity of the second correlation degree in each numerical interval, and determining the numerical interval corresponding to the maximum accumulated quantity as a target numerical interval;
determining the maximum second relevance degree in the target numerical value interval, determining the target energy-saving power cabinet corresponding to the maximum second relevance degree as the target energy-saving power cabinet, and determining the target alarm simulation trend information to be processed corresponding to the maximum second relevance degree as the sample alarm simulation trend information.
In a possible design of the first aspect, the determining whether there is an abnormality in the current alarm simulation trend information includes:
performing feature extraction on the current alarm simulation trend information to determine a plurality of simulation trend objects corresponding to the current alarm simulation trend;
aiming at each analog trend object, determining a target alarm event corresponding to the analog trend object and determining the migration information of the graph node of the analog trend object according to the target alarm event corresponding to the analog trend object;
according to the migration information of each simulated trend object, carrying out reconnection on each simulated trend object to obtain target alarm simulated trend information;
determining first alarm signal information of each first analog trend object in the current alarm analog trend information and determining first confirmation information of all first alarm signal information corresponding to the current alarm analog trend information according to a first migration information set corresponding to the current alarm analog trend information;
determining second alarm signal information of each second analog trend object in the target alarm analog trend information and determining second confirmation information of all second alarm signal information corresponding to the target alarm analog trend information according to a second migration information set corresponding to the target alarm analog trend information;
and judging whether the current alarm simulation trend information is abnormal or not according to the first confirmation information and the second confirmation information.
In a possible design of the first aspect, the step of determining whether there is an abnormality in the current alarm simulation trend information according to the first confirmation information and the second confirmation information includes:
judging whether the matching rate between the first confirmation information and the second confirmation information reaches a set matching rate or not;
and determining that the current alarm simulation trend information is abnormal when the matching rate between the first confirmation information and the second confirmation information does not reach the set matching rate.
In a second aspect, an embodiment of the present application provides an energy-saving electric power cabinet control apparatus based on remote control alarm recognition, which is applied to a server communicatively connected to each energy-saving electric power cabinet, and the apparatus includes:
the energy-saving power cabinet data area is configured to be a multi-unit area, each unit area corresponds to one operation item sequence of the current power operation parameter, and each unit area of the energy-saving power cabinet data area has different first alarm matching object parameters;
the first determining module is used for determining alarm matching object information of a target energy-saving electric cabinet in an incidence relation with the energy-saving electric cabinet from a preset database, and determining at least one target operation item sequence in a matching relation with the operation item sequence in the data area of the energy-saving electric cabinet from the alarm matching object information of the target energy-saving electric cabinet in the incidence relation with the energy-saving electric cabinet;
the information identification module is used for mapping the target operation item sequence to the energy-saving electric power cabinet data area to obtain a target area of the target operation item sequence in the energy-saving electric power cabinet data area, determining a second alarm matching object parameter of the target area according to an abnormal parameter between the target area and each unit area in the energy-saving electric power cabinet data area, and respectively performing information identification on the target operation item sequence and each operation item sequence to obtain a first information identification component corresponding to the target operation item sequence and a second information identification component corresponding to each operation item sequence;
a second determining module, configured to fuse, for each second information identification component, the second information identification component based on a comparison result between a first alarm matching object parameter corresponding to the second information identification component and a second alarm matching object parameter corresponding to the first information identification component to obtain a second target information identification component, determine a matching parameter result between the second target information identification component and the first information identification component, and then determine, according to the determined matching parameter result between each second target information identification component and the first information identification component, current alarm simulation trend information corresponding to a current power operation parameter;
and the judging module is used for judging whether the current alarm simulation trend information is abnormal or not, and generating a current alarm remote control instruction corresponding to the current alarm simulation trend information according to a pre-generated alarm remote control program of the alarm matching object information and the current alarm simulation trend information when the current alarm simulation trend information is abnormal.
In a third aspect, an embodiment of the present application provides a server, including a processor, a memory, and a network interface. The memory and the network interface processor can be connected through a bus system. The network interface is configured to receive a message, the memory is configured to store a program, instructions or code, and the processor is configured to execute the program, instructions or code in the memory to perform the operations of the first aspect or any possible design of the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores instructions that, when executed on a server, cause the server to perform the method of the first aspect or any possible design manner of the first aspect.
Based on any one of the above aspects, the method includes the steps of collecting multiple current power operation parameters running in the energy-saving power cabinet from the energy-saving power cabinet according to preset monitoring nodes, extracting operation item sequences of the current power operation parameters, configuring a data area of the energy-saving power cabinet, and then determining alarm matching object information of a target energy-saving power cabinet in an association relation with the energy-saving power cabinet, so that current alarm simulation trend information corresponding to the current power operation parameters is determined, and whether the current alarm simulation trend information is abnormal or not is judged.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flowchart of a method for controlling an energy-saving power cabinet based on remote alarm recognition according to an embodiment of the present application;
fig. 2 is a functional module schematic diagram of an energy-saving electric power cabinet control device based on remote control alarm recognition according to an embodiment of the present application;
fig. 3 is a schematic block diagram of a server for executing the energy-saving power cabinet control method based on remote alarm identification according to an embodiment of the present application.
Detailed Description
The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments.
Fig. 1 is a schematic flow chart of a method for controlling an energy-saving power cabinet based on remote alarm recognition according to an embodiment of the present application, and the method for controlling an energy-saving power cabinet based on remote alarm recognition is described in detail below.
Step S110, collecting various current electric power operation parameters running in an energy-saving electric power cabinet from the energy-saving electric power cabinet according to a preset monitoring node, extracting operation item sequences of the various current electric power operation parameters, and configuring an energy-saving electric power cabinet data area, wherein the energy-saving electric power cabinet data area is a multi-unit area, each unit area corresponds to one operation item sequence of the current electric power operation parameters, and each unit area of the energy-saving electric power cabinet data area has different first alarm matching object parameters.
Step S120, determining alarm matching object information of a target energy-saving electric cabinet in an association relation with the energy-saving electric cabinet from a preset database, and determining at least one target operation item sequence in a matching relation with the operation item sequence in the data area of the energy-saving electric cabinet from the alarm matching object information of the target energy-saving electric cabinet in the association relation with the energy-saving electric cabinet.
Step S130, the target operation item sequence is mapped to the energy-saving electric power cabinet data area to obtain a target area of the target operation item sequence in the energy-saving electric power cabinet data area, a second alarm matching object parameter of the target area is determined according to the abnormal parameter between the target area and each unit area in the energy-saving electric power cabinet data area, information identification is respectively carried out on the target operation item sequence and each operation item sequence, and a first information identification component corresponding to the target operation item sequence and a second information identification component corresponding to each operation item sequence are obtained.
Step S140, aiming at each second information identification component, fusing the second information identification component based on the comparison result between the first alarm matching object parameter corresponding to the second information identification component and the second alarm matching object parameter corresponding to the first information identification component to obtain a second target information identification component, determining the matching parameter result between the second target information identification component and the first information identification component, and then determining the current alarm simulation trend information corresponding to the current electric power operation parameter according to the determined matching parameter result between each second target information identification component and the first information identification component.
And S150, judging whether the current alarm simulation trend information is abnormal or not, and generating a current alarm remote control instruction corresponding to the current alarm simulation trend information according to a pre-generated alarm remote control program of the alarm matching object information and the current alarm simulation trend information when the current alarm simulation trend information is abnormal.
Based on the design, in the embodiment, multiple current power operation parameters running in the energy-saving power cabinet are collected from the energy-saving power cabinet according to the preset monitoring node, the operation item sequences of the current power operation parameters are extracted, the energy-saving power cabinet data area is configured, and then the alarm matching object information of the target energy-saving power cabinet in association with the energy-saving power cabinet is determined, so that the current alarm simulation trend information corresponding to the current power operation parameters is determined, whether the current alarm simulation trend information is abnormal or not is judged, and thus, when the current alarm simulation trend information is abnormal, the current alarm remote control instruction corresponding to the current alarm simulation trend information is generated for alarm remote control, and the alarm accuracy can be improved.
In one possible design, step S110 may be implemented by the following substeps, which are described below.
And a substep S111, determining control content information of each current power operation parameter according to operation analysis content in the current power operation parameter and determining a control mode label of the current power operation parameter based on the control content information of the current power operation parameter.
And a substep S112, for each determined control mode tag, obtaining a tag table entry corresponding to the control mode tag, and performing specific content extraction on the control database in the current power operation parameter corresponding to the control mode tag according to the tag table entry corresponding to the control mode tag, so as to obtain a first specific tag content corresponding to the control mode tag.
In the substep S113, for a plurality of tag content nodes included in each first specific tag content, a sorting manner corresponding to the first specific tag content is determined according to the control manner tag corresponding to the first specific tag content, and the plurality of tag content nodes in the first specific tag content are sorted according to the sorting manner corresponding to the first specific tag content, so as to obtain a second specific tag content corresponding to the first specific tag content.
And a substep S114, for each second specific label content, splicing all label content nodes which are sequenced in the second specific label content according to the alarm rule vector in the label table entry corresponding to the second specific label content, and obtaining the running item sequence of the current power running parameter corresponding to the second specific label content.
In substep S115, each of the obtained operation item sequences is polled according to the set number of polling times, and each polling result is obtained.
And configuring a data filling sequence according to the polling sequence included in each polling result, and adding each operating item sequence into the data filling sequence to obtain the data area of the energy-saving power cabinet.
In one possible design, step S120 may be implemented in the following manner, which is described below.
The method comprises the steps of firstly, determining historical electric power operation parameters in a last preset monitoring node corresponding to each current electric power operation parameter according to storage time information corresponding to each current electric power operation parameter in multiple current electric power operation parameters, then inquiring to obtain alarm trend track information of an energy-saving electric power cabinet in the last preset monitoring node based on each historical electric power operation parameter, and generating a corresponding target feedback behavior sequence for representing the energy-saving electric power cabinet under each group of alarm trend track information according to each group of alarm trend track information.
Then, for each target feedback behavior sequence, extracting a feedback strategy associated with each target feedback behavior in the target feedback behavior sequence, then determining a feedback execution label of each feedback strategy in all feedback strategies corresponding to each target feedback behavior sequence, determining a first alarm type identifier corresponding to each target feedback behavior sequence according to each feedback execution label, and discarding the first alarm type identifier to the target energy-saving power cabinet corresponding to each target feedback behavior sequence determined based on each first alarm type identifier, wherein a matching parameter between a second alarm type identifier of the target energy-saving power cabinet corresponding to each target feedback behavior sequence and the first alarm type identifier corresponding to the target feedback behavior sequence is greater than a set value.
And then, determining target alarm simulation trend information corresponding to each target energy-saving power cabinet, and sequentially performing feature extraction on each determined target alarm simulation trend information to obtain a third information identification component corresponding to each target alarm simulation trend information. And determining a fourth information identification component of each target feedback behavior sequence, and fusing the fourth information identification component of each target feedback behavior sequence according to the first alarm type identifier corresponding to each target feedback behavior sequence to obtain a fifth information identification component. And determining first relevance between the fifth information identification component and each third information identification component, and sequencing the target alarm simulation trend information corresponding to each third information identification component according to the descending order of the first relevance to obtain a sequencing sequence.
On the basis, the monitoring pull information can be determined according to the preset monitoring nodes, the target alarm simulation trend information with the quantity corresponding to the monitoring pull information is captured from the sequencing sequence according to the monitoring pull information, and a plurality of target alarm simulation trend information to be processed is obtained. And then, for each target to be processed alarm simulation trend information, fusing a third information identification component corresponding to the target to be processed alarm simulation trend information based on a second alarm type identifier corresponding to the target to be processed alarm simulation trend information to obtain a sixth information identification component.
Therefore, the second relevance between the fifth information identification component and each sixth information identification component can be respectively determined, the minimum value and the maximum value of the second relevance are determined, a relevance degree value interval is generated according to the minimum value and the maximum value, the splitting frequency of the relevance degree value interval is determined according to the size relation of the total number of the areas in the energy-saving power cabinet data area and the data capacity of each area, the relevance degree value interval is divided according to the splitting frequency to obtain a plurality of value intervals, the adjusting coefficient of each value interval is determined according to the first alarm matching object parameter corresponding to each unit area in the energy-saving power cabinet data area, the interval range of each value interval is adjusted according to the adjusting coefficient of each value interval, the accumulated quantity of the second relevance degree in each value interval is counted, and the value interval corresponding to the maximum accumulated quantity is determined as the target value interval, and determining the maximum second relevance degree in the target numerical value interval, determining the target energy-saving electric cabinet corresponding to the maximum second relevance degree as the target energy-saving electric cabinet, and determining the target alarm simulation trend information to be processed corresponding to the maximum second relevance degree as the sample alarm simulation trend information.
In one possible design, step S150 may be implemented as follows, which is described below.
And a substep S151 of extracting the characteristics of the current alarm simulation trend information and determining a plurality of simulation trend objects corresponding to the current alarm simulation trend.
And a substep S152, aiming at each analog trend object, determining a target alarm event corresponding to the analog trend object and determining the migration information of the graph node of the analog trend object according to the target alarm event corresponding to the analog trend object.
And a substep S153, according to the migration information of each analog trend object, performing reconnection on each analog trend object to obtain target alarm analog trend information.
And a substep S154, determining the first alarm signal information of each first analog trend object in the current alarm analog trend information, and determining the first confirmation information of all the first alarm signal information corresponding to the current alarm analog trend information according to the first migration information set corresponding to the current alarm analog trend information.
And a substep S155, determining the second alarm signal information of each second analog trend object in the target alarm analog trend information and determining the second confirmation information of all the second alarm signal information corresponding to the target alarm analog trend information according to the second migration information set corresponding to the target alarm analog trend information.
And a substep S156, judging whether the current alarm simulation trend information is abnormal or not according to the first confirmation information and the second confirmation information.
For example, it may be determined whether a matching rate between the first confirmation information and the second confirmation information reaches a set matching rate, and it may be determined that the current alarm simulation trend information is abnormal when the matching rate between the first confirmation information and the second confirmation information does not reach the set matching rate.
Fig. 2 is a schematic functional block diagram of an energy-saving power cabinet control device 300 based on remote alarm recognition according to an embodiment of the present application, and in this embodiment, functional blocks of the energy-saving power cabinet control device 300 based on remote alarm recognition may be divided according to the above method embodiments. For example, the functional blocks may be divided for the respective functions, or two or more functions may be integrated into one processing block. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation. For example, in the case of dividing each function module according to each function, the energy-saving power cabinet control device 300 based on remote alarm recognition shown in fig. 2 is only a schematic device. The energy-saving power cabinet control device 300 based on remote control alarm recognition may include an extraction module 310, a first determination module 320, an information recognition module 330, a second determination module 340, and a determination module 350, and the functions of the functional modules of the energy-saving power cabinet control device 300 based on remote control alarm recognition are described in detail below.
The extracting module 310 is configured to collect multiple current power operation parameters running in the energy-saving power cabinet from the energy-saving power cabinet according to preset monitoring nodes, extract operation item sequences of the current power operation parameters, and configure an energy-saving power cabinet data area, where the energy-saving power cabinet data area is a multi-unit area, each unit area corresponds to an operation item sequence of one current power operation parameter, and each unit area of the energy-saving power cabinet data area has different first alarm matching object parameters.
The first determining module 320 is configured to determine, from a preset database, alarm matching object information of a target energy-saving power cabinet associated with the energy-saving power cabinet, and determine, from the alarm matching object information of the target energy-saving power cabinet associated with the energy-saving power cabinet, at least one target operation item sequence having a matching relationship with an operation item sequence in a data area of the energy-saving power cabinet.
The information identification module 330 is configured to map the target operation item sequence to the energy-saving power cabinet data area to obtain a target area of the target operation item sequence in the energy-saving power cabinet data area, determine a second alarm matching object parameter of the target area according to an abnormal parameter between the target area and each unit area in the energy-saving power cabinet data area, and perform information identification on the target operation item sequence and each operation item sequence respectively to obtain a first information identification component corresponding to the target operation item sequence and a second information identification component corresponding to each operation item sequence.
A second determining module 340, configured to, for each second information identification component, fuse the second information identification component based on a comparison result between a first alarm matching object parameter corresponding to the second information identification component and a second alarm matching object parameter corresponding to the first information identification component to obtain a second target information identification component, determine a matching parameter result between the second target information identification component and the first information identification component, and then determine, according to the determined matching parameter result between each second target information identification component and the first information identification component, current alarm simulation trend information corresponding to the current power operation parameter.
And the judging module 350 is configured to judge whether the current alarm simulation trend information is abnormal, and generate a current alarm remote control instruction corresponding to the current alarm simulation trend information according to a pre-generated alarm remote control program of the alarm matching object information and the current alarm simulation trend information when the current alarm simulation trend information is abnormal.
In one possible design, the method of extracting the operation item sequence of various current electric power operation parameters and configuring the data area of the energy-saving electric power cabinet includes:
for each current power operation parameter, determining control content information of the current power operation parameter according to operation analysis content in the current power operation parameter and determining a control mode label of the current power operation parameter based on the control content information of the current power operation parameter;
aiming at each determined control mode label, obtaining a label table entry corresponding to the control mode label, and extracting specific content from a control database in the current power operation parameter corresponding to the control mode label according to the label table entry corresponding to the control mode label to obtain first specific label content corresponding to the control mode label;
for a plurality of label content nodes included in each first specific label content, determining a sorting mode corresponding to the first specific label content according to a control mode label corresponding to the first specific label content, and sorting the plurality of label content nodes in the first specific label content according to the sorting mode corresponding to the first specific label content to obtain a second specific label content corresponding to the first specific label content;
for each second specific label content, splicing all label content nodes which are sequenced in the second specific label content according to the alarm rule vector in the label table entry corresponding to the second specific label content to obtain an operating item sequence of the current power operating parameter corresponding to the second specific label content;
polling each obtained operation item sequence according to the set polling times to obtain each polling result;
wherein, each polling result comprises a polling sequence for polling each operation item sequence and an alarm adaptive numerical value corresponding to each operation item sequence;
and configuring a data filling sequence according to a polling sequence included in each polling result, and adding each operation item sequence into the data filling sequence to obtain a data area of the energy-saving power cabinet.
In one possible design, the method for determining alarm matching object information of a target energy-saving power cabinet having an association relationship with the energy-saving power cabinet from a preset database includes:
determining historical electric power operation parameters in a last preset monitoring node corresponding to each current electric power operation parameter according to the storage time information corresponding to each current electric power operation parameter in the multiple current electric power operation parameters;
inquiring to obtain the alarm trend track information of the energy-saving electric power cabinet in the last preset monitoring node based on each historical electric power operation parameter;
generating a corresponding target feedback behavior sequence for representing the energy-saving power cabinet under each group of alarm trend track information according to each group of alarm trend track information;
extracting a feedback strategy associated with each target feedback behavior in each target feedback behavior sequence aiming at each target feedback behavior sequence;
determining a feedback execution label of each feedback strategy in all feedback strategies corresponding to each target feedback behavior sequence, and determining a first alarm type identifier corresponding to each target feedback behavior sequence according to each feedback execution label;
determining a target energy-saving power cabinet corresponding to each target feedback behavior sequence based on each first alarm type identifier, wherein a matching parameter between a second alarm type identifier of the target energy-saving power cabinet corresponding to each target feedback behavior sequence and the first alarm type identifier corresponding to the target feedback behavior sequence is greater than a set value;
determining target alarm simulation trend information corresponding to each target energy-saving power cabinet, and sequentially performing feature extraction on the determined target alarm simulation trend information to obtain a third information identification component corresponding to each target alarm simulation trend information;
determining a fourth information identification component of each target feedback behavior sequence and fusing the fourth information identification component of each target feedback behavior sequence according to a first alarm type identifier corresponding to each target feedback behavior sequence to obtain a fifth information identification component;
determining first relevance between the fifth information identification component and each third information identification component, and sequencing target alarm simulation trend information corresponding to each third information identification component according to the sequence of the first relevance from large to small to obtain a sequencing sequence;
determining monitoring pull information according to preset monitoring nodes, and capturing target alarm simulation trend information of a corresponding quantity to the monitoring pull information from a sequencing sequence according to the monitoring pull information to obtain a plurality of target alarm simulation trend information to be processed;
for each target to be processed, fusing a third information identification component corresponding to the target to be processed alarm simulation trend information based on a second alarm type identifier corresponding to the target to be processed alarm simulation trend information to obtain a sixth information identification component;
respectively determining a second association degree between the fifth information identification component and each sixth information identification component;
determining the minimum value and the maximum value of the second correlation degree and generating a correlation degree value interval according to the minimum value and the maximum value;
determining the splitting frequency of the associated degree value interval according to the total number of the areas in the data area of the energy-saving power cabinet and the size relation of the data capacity of each area;
dividing the association degree value interval based on the splitting frequency to obtain a plurality of value intervals;
determining an adjustment coefficient of each numerical value interval according to a first alarm matching object parameter corresponding to each unit area in the energy-saving power cabinet data area;
adjusting the interval range of each numerical interval based on the adjustment coefficient of each numerical interval;
counting the accumulated quantity of the second correlation degree in each numerical interval, and determining the numerical interval corresponding to the maximum accumulated quantity as a target numerical interval;
and determining the maximum second relevance degree in the target numerical value interval, determining the target energy-saving electric cabinet corresponding to the maximum second relevance degree as the target energy-saving electric cabinet, and determining the target alarm simulation trend information to be processed corresponding to the maximum second relevance degree as the sample alarm simulation trend information.
In one possible design, the method for determining whether the current alarm simulation trend information is abnormal includes:
performing feature extraction on the current alarm simulation trend information to determine a plurality of simulation trend objects corresponding to the current alarm simulation trend;
aiming at each analog trend object, determining a target alarm event corresponding to the analog trend object and determining the migration information of the graph node of the analog trend object according to the target alarm event corresponding to the analog trend object;
according to the migration information of each simulated trend object, carrying out reconnection on each simulated trend object to obtain target alarm simulated trend information;
determining first alarm signal information of each first analog trend object in the current alarm analog trend information and determining first confirmation information of all first alarm signal information corresponding to the current alarm analog trend information according to a first migration information set corresponding to the current alarm analog trend information;
determining second alarm signal information of each second analog trend object in the target alarm analog trend information and determining second confirmation information of all second alarm signal information corresponding to the target alarm analog trend information according to a second migration information set corresponding to the target alarm analog trend information;
and judging whether the current alarm simulation trend information is abnormal or not according to the first confirmation information and the second confirmation information.
In one possible design, the method for determining whether the current alarm simulation trend information is abnormal according to the first confirmation information and the second confirmation information includes:
judging whether the matching rate between the first confirmation information and the second confirmation information reaches a set matching rate or not;
and determining that the current alarm simulation trend information is abnormal when the matching rate between the first confirmation information and the second confirmation information does not reach the set matching rate.
Fig. 3 is a schematic structural diagram of a server 100 for executing the energy-saving power cabinet control method based on remote alarm identification according to an embodiment of the present application, and as shown in fig. 3, the server 100 may include a network interface 110, a machine-readable storage medium 120, a processor 130, and a bus 140. The number of the processors 130 may be one or more, and one processor 130 is taken as an example in fig. 3; the network interface 110, the machine-readable storage medium 120, and the processor 130 may be connected by a bus 140 or otherwise, as exemplified by the connection by the bus 140 in fig. 3.
The machine-readable storage medium 120 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the method for establishing the energy-saving power cabinet control based on remote alarm identification in the embodiment of the present application. The processor 130 executes various functional applications and data processing of the terminal device by detecting the software programs, instructions and modules stored in the machine-readable storage medium 120, that is, the above-mentioned energy-saving power cabinet control method based on remote alarm identification is implemented, and is not described herein again.
The machine-readable storage medium 120 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the machine-readable storage medium 120 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a Read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, but not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), adaptive random access memory (DRAM), Synchronous adaptive random access memory (Synchronous DRAM, SDRAM), Double data rate Synchronous adaptive random access memory (DDR SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous link adaptive DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memories of the systems and methods described herein are intended to comprise, without being limited to, these and any other suitable memories at any other time. In some examples, the machine-readable storage medium 120 may further include memory located remotely from the processor 130, which may be connected to the terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor 130 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 130. The processor 130 may be a general-purpose processor, a digital signal processor (digital signal processor dsp), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor.
The server 100 can perform information interaction with other devices (e.g., the external server 200) through the communication interface 110. Communication interface 110 may be a circuit, bus, transceiver, or any other device that may be used to exchange information. Processor 130 may send and receive information using communication interface 110.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Embodiments of the present application are 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.
It will be apparent to those skilled in the art that various changes and modifications may be made in the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to encompass such modifications and variations.

Claims (10)

1. A control method of an energy-saving electric power cabinet based on remote control alarm recognition is applied to a server in communication connection with each energy-saving electric power cabinet, and comprises the following steps:
collecting multiple current power operation parameters running in the energy-saving power cabinet from the energy-saving power cabinet according to preset monitoring nodes, extracting operation item sequences of the current power operation parameters, and configuring an energy-saving power cabinet data area, wherein the energy-saving power cabinet data area is a multi-unit area, each unit area corresponds to one operation item sequence of the current power operation parameters, and each unit area of the energy-saving power cabinet data area has different first alarm matching object parameters;
determining alarm matching object information of a target energy-saving electric cabinet in an incidence relation with the energy-saving electric cabinet from a preset database, and determining at least one target operation item sequence in a matching relation with the operation item sequence in the energy-saving electric cabinet data area from the alarm matching object information of the target energy-saving electric cabinet in the incidence relation with the energy-saving electric cabinet;
mapping the target operation item sequence to the energy-saving electric power cabinet data area to obtain a target area of the target operation item sequence in the energy-saving electric power cabinet data area, determining a second alarm matching object parameter of the target area according to the abnormal parameter between the target area and each unit area in the energy-saving electric power cabinet data area, and respectively performing information identification on the target operation item sequence and each operation item sequence to obtain a first information identification component corresponding to the target operation item sequence and a second information identification component corresponding to each operation item sequence;
for each second information identification component, fusing the second information identification component based on a comparison result between a first alarm matching object parameter corresponding to the second information identification component and a second alarm matching object parameter corresponding to the first information identification component to obtain a second target information identification component, determining a matching parameter result between the second target information identification component and the first information identification component, and then determining current alarm simulation trend information corresponding to the current electric power operation parameter according to the determined matching parameter result between each second target information identification component and the first information identification component;
and judging whether the current alarm simulation trend information is abnormal or not, and generating a current alarm remote control instruction corresponding to the current alarm simulation trend information according to a pre-generated alarm remote control program of the alarm matching object information and the current alarm simulation trend information when the current alarm simulation trend information is abnormal.
2. The energy-saving electric power cabinet control method based on remote control alarm recognition of claim 1, wherein the extracting of the operation item sequence of various current electric power operation parameters and the configuring of the energy-saving electric power cabinet data area comprise:
for each current power operation parameter, determining control content information of the current power operation parameter according to operation analysis content in the current power operation parameter and determining a control mode label of the current power operation parameter based on the control content information of the current power operation parameter;
aiming at each determined control mode label, obtaining a label table entry corresponding to the control mode label, and extracting specific content from a control database in the current power operation parameter corresponding to the control mode label according to the label table entry corresponding to the control mode label to obtain first specific label content corresponding to the control mode label;
for a plurality of label content nodes included in each first specific label content, determining a sorting mode corresponding to the first specific label content according to a control mode label corresponding to the first specific label content, and sorting the plurality of label content nodes in the first specific label content according to the sorting mode corresponding to the first specific label content to obtain a second specific label content corresponding to the first specific label content;
for each second specific label content, splicing all label content nodes which are sequenced in the second specific label content according to the alarm rule vector in the label table entry corresponding to the second specific label content to obtain an operating item sequence of the current power operating parameter corresponding to the second specific label content;
polling each obtained operation item sequence according to the set polling times to obtain each polling result;
wherein, each polling result comprises a polling sequence for polling each operation item sequence and an alarm adaptive numerical value corresponding to each operation item sequence;
and configuring a data filling sequence according to a polling sequence included in each polling result, and adding each operation item sequence into the data filling sequence to obtain the data area of the energy-saving power cabinet.
3. The energy-saving electric power cabinet control method based on remote control alarm recognition of claim 1, wherein the step of determining the alarm matching object information of the target energy-saving electric power cabinet which is associated with the energy-saving electric power cabinet from a preset database comprises the following steps:
determining historical electric power operation parameters in a last preset monitoring node corresponding to each current electric power operation parameter according to the storage time information corresponding to each current electric power operation parameter in the multiple current electric power operation parameters;
inquiring and obtaining alarm trend track information of the energy-saving electric power cabinet in the last preset monitoring node based on each historical electric power operation parameter;
generating a corresponding target feedback behavior sequence used for representing the energy-saving power cabinet under each group of alarm trend track information according to each group of alarm trend track information;
extracting a feedback strategy associated with each target feedback behavior in each target feedback behavior sequence aiming at each target feedback behavior sequence;
determining a feedback execution label of each feedback strategy in all feedback strategies corresponding to each target feedback behavior sequence, and determining a first alarm type identifier corresponding to each target feedback behavior sequence according to each feedback execution label;
determining a target energy-saving power cabinet corresponding to each target feedback behavior sequence based on each first alarm type identifier, wherein a matching parameter between a second alarm type identifier of the target energy-saving power cabinet corresponding to each target feedback behavior sequence and the first alarm type identifier corresponding to the target feedback behavior sequence is greater than a set value;
determining target alarm simulation trend information corresponding to each target energy-saving power cabinet, and sequentially performing feature extraction on the determined target alarm simulation trend information to obtain a third information identification component corresponding to each target alarm simulation trend information;
determining a fourth information identification component of each target feedback behavior sequence and fusing the fourth information identification component of each target feedback behavior sequence according to a first alarm type identifier corresponding to each target feedback behavior sequence to obtain a fifth information identification component;
determining first relevance degrees between the fifth information identification components and each third information identification component respectively, and sequencing target alarm simulation trend information corresponding to each third information identification component according to the descending sequence of the first relevance degrees to obtain a sequencing sequence;
determining monitoring pull information according to the preset monitoring nodes, and capturing target alarm simulation trend information of a corresponding quantity to the monitoring pull information from the sequencing sequence according to the monitoring pull information to obtain a plurality of target alarm simulation trend information to be processed;
for each target to be processed, fusing a third information identification component corresponding to the target to be processed alarm simulation trend information based on a second alarm type identifier corresponding to the target to be processed alarm simulation trend information to obtain a sixth information identification component;
respectively determining a second association degree between the fifth information identification component and each sixth information identification component;
determining the minimum value and the maximum value of the second correlation degree and generating a correlation degree value interval according to the minimum value and the maximum value;
determining the splitting frequency of the associated degree value interval according to the area total number in the energy-saving power cabinet data area and the size relation of the data capacity of each area;
dividing the association degree numerical value interval based on the splitting frequency to obtain a plurality of numerical value intervals;
determining an adjustment coefficient of each numerical value interval according to a first alarm matching object parameter corresponding to each unit area in the energy-saving power cabinet data area;
adjusting the interval range of each numerical interval based on the adjustment coefficient of each numerical interval;
counting the accumulated quantity of the second correlation degree in each numerical interval, and determining the numerical interval corresponding to the maximum accumulated quantity as a target numerical interval;
determining the maximum second relevance degree in the target numerical value interval, determining the target energy-saving power cabinet corresponding to the maximum second relevance degree as the target energy-saving power cabinet, and determining the target alarm simulation trend information to be processed corresponding to the maximum second relevance degree as the sample alarm simulation trend information.
4. The energy-saving electric power cabinet control method based on remote control alarm recognition of claim 1, wherein the judging whether the current alarm simulation trend information is abnormal or not comprises:
performing feature extraction on the current alarm simulation trend information to determine a plurality of simulation trend objects corresponding to the current alarm simulation trend;
aiming at each analog trend object, determining a target alarm event corresponding to the analog trend object and determining the migration information of the graph node of the analog trend object according to the target alarm event corresponding to the analog trend object;
according to the migration information of each simulated trend object, carrying out reconnection on each simulated trend object to obtain target alarm simulated trend information;
determining first alarm signal information of each first analog trend object in the current alarm analog trend information and determining first confirmation information of all first alarm signal information corresponding to the current alarm analog trend information according to a first migration information set corresponding to the current alarm analog trend information;
determining second alarm signal information of each second analog trend object in the target alarm analog trend information and determining second confirmation information of all second alarm signal information corresponding to the target alarm analog trend information according to a second migration information set corresponding to the target alarm analog trend information;
and judging whether the current alarm simulation trend information is abnormal or not according to the first confirmation information and the second confirmation information.
5. The energy-saving electric power cabinet control method based on remote control alarm recognition of claim 1, wherein the step of judging whether the current alarm simulation trend information is abnormal or not according to the first confirmation information and the second confirmation information comprises the following steps:
judging whether the matching rate between the first confirmation information and the second confirmation information reaches a set matching rate or not;
and determining that the current alarm simulation trend information is abnormal when the matching rate between the first confirmation information and the second confirmation information does not reach the set matching rate.
6. An energy-saving electric power cabinet control device based on remote control alarm recognition is applied to a server in communication connection with each energy-saving electric power cabinet, and the device comprises:
the energy-saving power cabinet data area is configured to be a multi-unit area, each unit area corresponds to one operation item sequence of the current power operation parameter, and each unit area of the energy-saving power cabinet data area has different first alarm matching object parameters;
the first determining module is used for determining alarm matching object information of a target energy-saving electric cabinet in an incidence relation with the energy-saving electric cabinet from a preset database, and determining at least one target operation item sequence in a matching relation with the operation item sequence in the data area of the energy-saving electric cabinet from the alarm matching object information of the target energy-saving electric cabinet in the incidence relation with the energy-saving electric cabinet;
the information identification module is used for mapping the target operation item sequence to the energy-saving electric power cabinet data area to obtain a target area of the target operation item sequence in the energy-saving electric power cabinet data area, determining a second alarm matching object parameter of the target area according to an abnormal parameter between the target area and each unit area in the energy-saving electric power cabinet data area, and respectively performing information identification on the target operation item sequence and each operation item sequence to obtain a first information identification component corresponding to the target operation item sequence and a second information identification component corresponding to each operation item sequence;
a second determining module, configured to fuse, for each second information identification component, the second information identification component based on a comparison result between a first alarm matching object parameter corresponding to the second information identification component and a second alarm matching object parameter corresponding to the first information identification component to obtain a second target information identification component, determine a matching parameter result between the second target information identification component and the first information identification component, and then determine, according to the determined matching parameter result between each second target information identification component and the first information identification component, current alarm simulation trend information corresponding to a current power operation parameter;
and the judging module is used for judging whether the current alarm simulation trend information is abnormal or not, and generating a current alarm remote control instruction corresponding to the current alarm simulation trend information according to a pre-generated alarm remote control program of the alarm matching object information and the current alarm simulation trend information when the current alarm simulation trend information is abnormal.
7. The energy-saving electric power cabinet control device based on remote control alarm recognition as claimed in claim 6, wherein the manner of extracting the operation item sequence of various current electric power operation parameters and configuring the energy-saving electric power cabinet data area comprises:
for each current power operation parameter, determining control content information of the current power operation parameter according to operation analysis content in the current power operation parameter and determining a control mode label of the current power operation parameter based on the control content information of the current power operation parameter;
aiming at each determined control mode label, obtaining a label table entry corresponding to the control mode label, and extracting specific content from a control database in the current power operation parameter corresponding to the control mode label according to the label table entry corresponding to the control mode label to obtain first specific label content corresponding to the control mode label;
for a plurality of label content nodes included in each first specific label content, determining a sorting mode corresponding to the first specific label content according to a control mode label corresponding to the first specific label content, and sorting the plurality of label content nodes in the first specific label content according to the sorting mode corresponding to the first specific label content to obtain a second specific label content corresponding to the first specific label content;
for each second specific label content, splicing all label content nodes which are sequenced in the second specific label content according to the alarm rule vector in the label table entry corresponding to the second specific label content to obtain an operating item sequence of the current power operating parameter corresponding to the second specific label content;
polling each obtained operation item sequence according to the set polling times to obtain each polling result;
wherein, each polling result comprises a polling sequence for polling each operation item sequence and an alarm adaptive numerical value corresponding to each operation item sequence;
and configuring a data filling sequence according to a polling sequence included in each polling result, and adding each operation item sequence into the data filling sequence to obtain the data area of the energy-saving power cabinet.
8. The energy-saving electric power cabinet control device based on remote control alarm recognition as claimed in claim 6, wherein the manner of determining the alarm matching object information of the target energy-saving electric power cabinet which is associated with the energy-saving electric power cabinet from the preset database comprises:
determining historical electric power operation parameters in a last preset monitoring node corresponding to each current electric power operation parameter according to the storage time information corresponding to each current electric power operation parameter in the multiple current electric power operation parameters;
inquiring and obtaining alarm trend track information of the energy-saving electric power cabinet in the last preset monitoring node based on each historical electric power operation parameter;
generating a corresponding target feedback behavior sequence used for representing the energy-saving power cabinet under each group of alarm trend track information according to each group of alarm trend track information;
extracting a feedback strategy associated with each target feedback behavior in each target feedback behavior sequence aiming at each target feedback behavior sequence;
determining a feedback execution label of each feedback strategy in all feedback strategies corresponding to each target feedback behavior sequence, and determining a first alarm type identifier corresponding to each target feedback behavior sequence according to each feedback execution label;
determining a target energy-saving power cabinet corresponding to each target feedback behavior sequence based on each first alarm type identifier, wherein a matching parameter between a second alarm type identifier of the target energy-saving power cabinet corresponding to each target feedback behavior sequence and the first alarm type identifier corresponding to the target feedback behavior sequence is greater than a set value;
determining target alarm simulation trend information corresponding to each target energy-saving power cabinet, and sequentially performing feature extraction on the determined target alarm simulation trend information to obtain a third information identification component corresponding to each target alarm simulation trend information;
determining a fourth information identification component of each target feedback behavior sequence and fusing the fourth information identification component of each target feedback behavior sequence according to a first alarm type identifier corresponding to each target feedback behavior sequence to obtain a fifth information identification component;
determining first relevance degrees between the fifth information identification components and each third information identification component respectively, and sequencing target alarm simulation trend information corresponding to each third information identification component according to the descending sequence of the first relevance degrees to obtain a sequencing sequence;
determining monitoring pull information according to the preset monitoring nodes, and capturing target alarm simulation trend information of a corresponding quantity to the monitoring pull information from the sequencing sequence according to the monitoring pull information to obtain a plurality of target alarm simulation trend information to be processed;
for each target to be processed, fusing a third information identification component corresponding to the target to be processed alarm simulation trend information based on a second alarm type identifier corresponding to the target to be processed alarm simulation trend information to obtain a sixth information identification component;
respectively determining a second association degree between the fifth information identification component and each sixth information identification component;
determining the minimum value and the maximum value of the second correlation degree and generating a correlation degree value interval according to the minimum value and the maximum value;
determining the splitting frequency of the associated degree value interval according to the area total number in the energy-saving power cabinet data area and the size relation of the data capacity of each area;
dividing the association degree numerical value interval based on the splitting frequency to obtain a plurality of numerical value intervals;
determining an adjustment coefficient of each numerical value interval according to a first alarm matching object parameter corresponding to each unit area in the energy-saving power cabinet data area;
adjusting the interval range of each numerical interval based on the adjustment coefficient of each numerical interval;
counting the accumulated quantity of the second correlation degree in each numerical interval, and determining the numerical interval corresponding to the maximum accumulated quantity as a target numerical interval;
determining the maximum second relevance degree in the target numerical value interval, determining the target energy-saving power cabinet corresponding to the maximum second relevance degree as the target energy-saving power cabinet, and determining the target alarm simulation trend information to be processed corresponding to the maximum second relevance degree as the sample alarm simulation trend information.
9. The energy-saving electric power cabinet control device based on remote control alarm recognition of claim 6, wherein the manner of judging whether the current alarm simulation trend information is abnormal comprises the following steps:
performing feature extraction on the current alarm simulation trend information to determine a plurality of simulation trend objects corresponding to the current alarm simulation trend;
aiming at each analog trend object, determining a target alarm event corresponding to the analog trend object and determining the migration information of the graph node of the analog trend object according to the target alarm event corresponding to the analog trend object;
according to the migration information of each simulated trend object, carrying out reconnection on each simulated trend object to obtain target alarm simulated trend information;
determining first alarm signal information of each first analog trend object in the current alarm analog trend information and determining first confirmation information of all first alarm signal information corresponding to the current alarm analog trend information according to a first migration information set corresponding to the current alarm analog trend information;
determining second alarm signal information of each second analog trend object in the target alarm analog trend information and determining second confirmation information of all second alarm signal information corresponding to the target alarm analog trend information according to a second migration information set corresponding to the target alarm analog trend information;
and judging whether the current alarm simulation trend information is abnormal or not according to the first confirmation information and the second confirmation information.
10. The energy-saving electric power cabinet control method based on remote control alarm recognition of claim 6, wherein the manner of judging whether the current alarm simulation trend information is abnormal according to the first confirmation information and the second confirmation information comprises:
judging whether the matching rate between the first confirmation information and the second confirmation information reaches a set matching rate or not;
and determining that the current alarm simulation trend information is abnormal when the matching rate between the first confirmation information and the second confirmation information does not reach the set matching rate.
CN202010657335.6A 2020-07-09 2020-07-09 Energy-saving electric power cabinet control method and device based on remote control alarm recognition Withdrawn CN111797287A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112417668A (en) * 2020-11-17 2021-02-26 甘肃省祁连山水源涵养林研究院 Ecological protection intelligent early warning method and device and server
CN116961218A (en) * 2023-06-25 2023-10-27 南京国电南自电网自动化有限公司 Alarm management method and system for substation inspection system and electronic equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112417668A (en) * 2020-11-17 2021-02-26 甘肃省祁连山水源涵养林研究院 Ecological protection intelligent early warning method and device and server
CN116961218A (en) * 2023-06-25 2023-10-27 南京国电南自电网自动化有限公司 Alarm management method and system for substation inspection system and electronic equipment

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