CN109920195A - Active electrical fire data processing method, system, equipment and medium - Google Patents
Active electrical fire data processing method, system, equipment and medium Download PDFInfo
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Abstract
The embodiment of the invention discloses an active electrical fire data processing method, a system, equipment and a medium, wherein the method comprises the following steps: acquiring monitoring data of an electric system in operation; determining monitoring waveform data corresponding to various electrical parameters based on the monitoring data and the corresponding electrical attributes; separating out corresponding fundamental wave component and harmonic wave component based on the monitoring waveform data; analyzing the harmonic component based on a preset algorithm; and when the harmonic component is determined to meet the set condition, generating a corresponding early warning type according to the harmonic component, and uploading the early warning type and the monitoring waveform data to a cloud platform, so that the cloud platform carries out electric fire early warning according to the early warning type and the monitoring waveform data. Through the technical scheme, the purpose of acquiring abundant electric fire early warning parameters is achieved, and meanwhile, the transmission pressure of sending the target parameters to the cloud platform is reduced.
Description
Technical field
The present embodiments relate to electrical safety technical fields, more particularly to a kind of active electrical fire data processing side
Method, system, electronic equipment and storage medium.
Background technique
With the development of modern science and technology, electric energy has been correspondingly made available extensive development and utilization.Electric energy is answered extensively
With both having benefited human society, while huge security risk also is brought to human society.Electrical fire is relatively conventional
A kind of electrical disaster, the heat for being often referred to release after breaking down because of electric wiring, electrical equipment and power supplying and distributing equipment draw
Fire fire caused by electrical ontology or other combustibles.Due to the particularity of electrical fire, do not occur electrical fire it
Before, it does not see, touches less than causing electric fire disaster warning difficulty larger.
At this stage, it is long-term to be mainly based upon residual-current electrical fire monitoring system for common electric fire disaster warning method
Constantly perhaps temperature is when residual current or temperature are more than given threshold to the residual current of real-time monitoring electric wiring, then
It alarms, otherwise, does not alarm immediately.Existing electric fire disaster warning method is since the electric parameter of monitoring is single, some electrical fire
Calamity hidden danger can not be fully demonstrated, and leading to existing method for early warning, there are higher rate of false alarm and rates of failing to report；Simultaneously because existing
The early warning rule of electric fire disaster warning method be then to alarm, lead immediately when residual current or temperature are more than given threshold
The residual current or temperature value of only knowing some moment of electric wiring are caused, lacks process analysis procedure analysis, causes existing method for early warning
Have the defects that cause of fire can not be checked；In addition, existing electric fire disaster warning method does not account for harmonic wave interference problem, because
This, be easy to appear monitoring electric wiring residual current or Temperature Failure the problem of.
Summary of the invention
The embodiment of the present invention provides the active electrical fire data processing method of one kind, system, equipment and medium, to realize
Early warning analysis is carried out based on more rich electric fire disaster warning parameter, while reducing the biography that early-warning parameters are sent to cloud platform
Defeated pressure.
In a first aspect, the embodiment of the invention provides a kind of active electrical fire data processing method, the method packet
It includes: obtaining monitoring data when electrical system operation；
The corresponding monitoring Wave data of various electric parameters is determined based on the monitoring data and corresponding electric attribute；
Corresponding fundametal compoment and harmonic component are isolated based on the monitoring Wave data；
The harmonic component is analyzed based on preset algorithm；
When determining that the harmonic component meets setting condition, corresponding early warning type is generated according to institute's harmonic component, and
The early warning type and the monitoring Wave data are uploaded to cloud platform, so that the cloud platform is according to the early warning type
And the monitoring Wave data carries out electric fire disaster warning.
Further, the corresponding monitoring of various electric parameters is determined based on the monitoring data and corresponding electric attribute
Wave data, comprising:
Count the monitoring data of identical electric attribute in preset time period；
The monitoring Wave data of corresponding electric parameter is determined according to the monitoring data of electric attribute identical in preset time period；
Wherein, the electric parameter includes voltage, electric current, insulation resistance, at least one in line impedence and residual current
Kind.
Further, the harmonic component is analyzed based on preset algorithm, comprising:
The harmonic component is matched with each default harmonic wave template in model library respectively, matching degree reaches if it exists
The default harmonic wave template of threshold value, it is determined that the harmonic component, which meets, to impose a condition.
Further, it when determining that the harmonic component meets setting condition, is generated according to institute's harmonic component corresponding pre-
Alert type, comprising:
It is determined as institute for electrical equipment belonging to the default harmonic wave template of threshold value is reached with the matching degree of the harmonic component
State the corresponding early warning object of harmonic component.
Further, the early warning type and the monitoring Wave data are uploaded to cloud platform, comprising:
Value carries out mark to the monitoring Wave data characterized by the time, to mark the monitoring Wave data to occur
Time；
It is that foundation compresses the monitoring Wave data after mark with corresponding default electrical fire characteristic value, with label
The current potential fire hazard of electrical system keeps the cloud platform pre- according to electrical fire characteristic value progress electrical fire
It is alert.
Further, before being analyzed based on preset algorithm the harmonic component, further includes:
The monitoring data are uploaded to cloud platform according to the first setpoint frequency；
When determining that the harmonic component meets setting condition, the monitoring data are uploaded to according to the second setpoint frequency
Cloud platform, wherein second setpoint frequency is higher than first setpoint frequency.
Further, it when the electric parameter is phase current, is isolated based on phase current monitoring Wave data corresponding
After fundametal compoment and harmonic component, further includes: analyze respectively the fundamental current component of A phase, B phase and C phase, work as determination
The fundamental current component of A phase is equal with the fundamental current component of B phase, but the fundamental current point of the fundamental current component of A phase and C phase
It measures unequal, then the current monitoring Wave data of the C phase is sent to cloud platform.
Second aspect, the embodiment of the invention provides a kind of active electrical fire data processing system, the system packets
It includes:
Module is obtained, for obtaining monitoring data when electrical system operation；
Determining module, for determining that various electric parameters are corresponding based on the monitoring data and corresponding electric attribute
Monitor Wave data；
Separation module, for isolating corresponding fundametal compoment and harmonic component based on the monitoring Wave data；
Analysis module, for being analyzed based on preset algorithm the harmonic component；
First sending module, for being generated according to institute's harmonic component when determining that the harmonic component meets setting condition
Corresponding early warning type, and the early warning type and the monitoring Wave data are uploaded to cloud platform, so that the cloud is flat
Platform carries out electric fire disaster warning according to the early warning type and the monitoring Wave data.
The third aspect the embodiment of the invention provides a kind of electronic equipment, including memory, processor and is stored in storage
On device and the computer program that can run on a processor, the processor realize such as first party when executing the computer program
Active electrical fire data processing method described in face.
Fourth aspect, the embodiment of the invention provides a kind of storage medium comprising computer executable instructions, the meters
Calculation machine executable instruction realizes active electrical fire data as described in relation to the first aspect when being executed by computer processor
Reason method.
The active electrical fire data processing method of one kind provided in an embodiment of the present invention is getting electrical system operation
When monitoring data when, determine the corresponding monitoring wave of various electric parameters based on the monitoring data and corresponding electric attribute
Graphic data, and corresponding fundametal compoment and harmonic component are isolated based on the monitoring Wave data, it realizes to electrical system
Various electrical nature values (such as fundametal compoment and harmonic component) when operation carry out comprehensive monitoring, enrich electrical fire
Early-warning parameters realize the purpose for not losing the hidden danger information that early period occurs for fire, and then can reduce the mistake of electric fire disaster warning
Report rate；The harmonic component is analyzed by being based further on preset algorithm；It is set when determining that the harmonic component meets
When condition, corresponding early warning type is generated according to institute's harmonic component, and by the early warning type and the monitoring Wave data
It is uploaded to cloud platform, so that the cloud platform is pre- according to the early warning type and monitoring Wave data progress electrical fire
It is alert, the pretreatment to electric fire disaster warning parameter abundant is realized, the transmission pressure for sending data to cloud platform is reduced, it is real
Show to above-mentioned complicated (such as fundametal compoment, harmonic component) and the effective use of huge early-warning parameters.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, institute in being described below to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also implement according to the present invention
The content of example and these attached drawings obtain other attached drawings.
Fig. 1 is the active electrical fire data processing method flow diagram of one kind that the embodiment of the present invention one provides；
Fig. 2 is the active electrical fire data processing method flow diagram of one kind provided by Embodiment 2 of the present invention；
Fig. 3 is the active electrical fire data processing system structural schematic diagram of one kind that the embodiment of the present invention three provides；
Fig. 4 is the structural schematic diagram for a kind of electronic equipment that the embodiment of the present invention four provides.
Specific embodiment
To keep the technical problems solved, the adopted technical scheme and the technical effect achieved by the invention clearer, below
It will the technical scheme of the embodiment of the invention will be described in further detail in conjunction with attached drawing, it is clear that described embodiment is only
It is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those skilled in the art exist
Every other embodiment obtained under the premise of creative work is not made, shall fall within the protection scope of the present invention.
Embodiment one
Fig. 1 is the active electrical fire data processing method flow diagram of one kind that the embodiment of the present invention one provides.This
Active electrical fire data processing method disclosed in embodiment is electrical when electrical system operation suitable for various scenes
The case where data are monitored and handle, the various scenes for example can be market, hospital, factory, hotel, house, write
Building, public place of entertainment, warehouse or school etc., which can be by active electrical fire number
It is executed according to processing system, wherein the system can be implemented by software and/or hardware, and be typically integrated in terminal, the terminal
Power supply and distribution room is e.g. set to for monitoring the monitoring terminal of electric data when electrical system is run.Referring specifically to Fig. 1 institute
Show, this method comprises the following steps:
Monitoring data when step 110, acquisition electrical system operation.
Wherein, the monitoring data when electrical system is run are various electrical nature values when electrical system works, example
Such as include: phase voltage, phase current, phase current increment, reactive power, phase active power increment, apparent energy, residual current, absolutely
Edge impedance or phase temperature increment etc..
Specifically, the monitoring data can be obtained by the monitoring terminal configured in electrical system front end, such as by matching
The temperature data that the temperature sensor in electric wiring obtains monitored route is set, or by configuring in electric loop
Current transformer obtains the current data etc. in monitored circuit.
Step 120 determines the corresponding monitoring of various electric parameters based on the monitoring data and corresponding electric attribute
Wave data.
Wherein, the corresponding electric attribute of the monitoring data refers specifically to the meaning of the monitoring data, such as the monitoring
Data are current data, temperature data or voltage data, and the electric current, temperature and voltage are the corresponding electricity of monitoring data
Gas attribute.
Specifically, determining the corresponding monitoring wave of various electric parameters based on the monitoring data and corresponding electric attribute
Graphic data, comprising:
Count the monitoring data of identical electric attribute in preset time period；
The monitoring Wave data of corresponding electric parameter is determined according to the monitoring data of electric attribute identical in preset time period.
Such as the current data of bus current in 5 seconds is counted, the prison of bus current is drawn according to the current data in this 5 seconds
Waveform diagram is surveyed to get the monitoring Wave data of bus current is arrived, " bus current " is the electric parameter.
Wherein, the electric parameter includes voltage, electric current, insulation resistance, at least one in line impedence and residual current
Kind.The monitoring Wave data of the insulation resistance can refer to the Wave data of insulation resistance variation tendency, described in line impedence
Monitoring Wave data can refer to the Wave data etc. of online impedance variations trend,
Step 130 isolates corresponding fundametal compoment and harmonic component based on the monitoring Wave data.
Specifically, can based on Fourier transformation from it is described monitoring Wave data isolate referring now to fundametal compoment and harmonic wave
Component, such as Wave data is monitored by Fourier transform pairs load voltage and carries out classification operation, obtain load fundamental voltage wave
Shape and Load harmonic voltage waveform；It is humorous based on the isolated load fundamental current waveform of load current monitoring Wave data and load
Wave current waveform etc..By the base for obtaining electric parameter corresponding with the electric attribute of the monitoring data from the monitoring data
Wave component and harmonic component, are greatly enriched electrical early-warning parameters, are no longer confined to the threshold values such as voltage, electric current and temperature
Data realize the purpose for not losing the hidden danger information that early period occurs for fire, and then can reduce the rate of false alarm of electric fire disaster warning.
Step 140 analyzes the harmonic component based on preset algorithm, sets when determining that the harmonic component meets
When condition, corresponding early warning type is generated according to institute's harmonic component.
Specifically, the harmonic component is matched with each default harmonic wave template in model library respectively, if it exists
Reach the default harmonic wave template of threshold value with degree, it is determined that the harmonic component, which meets, to impose a condition.By with the harmonic component
Matching degree reaches electrical equipment belonging to the default harmonic wave template of threshold value and is determined as the corresponding early warning object of the harmonic component.
Wherein, each default harmonic wave template in model library is that each electrical equipment (such as TV, air-conditioning, refrigerator and is washed
The electrical equipments such as clothing machine) existing for normal harmonic wave characteristic wave.The harmonic component meets the essence to impose a condition are as follows: described humorous
Wave component belongs to the abnormal harmonic wave of one of model library particular preset harmonic wave template, for example, by by the harmonic component with
Each default harmonic wave template in model library is matched, and learns that the harmonic component is a kind of harmonic wave of LED light, but described humorous
The range of wave component has exceeded the normal harmonic wave range of the LED light, then thinks that the harmonic component is the exception of LED light at this time
Harmonic wave, the LED light are then the corresponding early warning object of the harmonic component, i.e., the described LED light there are the probability of security risk compared with
It is high.It, just will be described when only determining that the harmonic component meets setting condition by carrying out preliminary analysis to the harmonic component
Monitoring Wave data is uploaded to cloud platform, to realize the purpose for greatly subtracting small data transmission pressure, realizes to complicated and huge
The efficient utilization of big monitoring data；And by generating corresponding early warning type according to institute's harmonic component, and by the early warning class
Type is uploaded to cloud platform, helps to improve the early warning efficiency and accuracy of cloud platform.
Further, if determining that the harmonic component belongs to one in model library by carrying out analysis to the harmonic component
The normal harmonic wave of kind of particular preset harmonic wave template, then it is not necessary that the harmonic component is uploaded to cloud platform because electrical system this
When a possibility that there are security risks it is lower, so there is no need to which the harmonic component is uploaded to cloud platform to carry out analysis and early warning, with drop
The low data volume for being uploaded to cloud platform, to reduce data transmission pressure.Further, it can be generated at this time according to institute's harmonic component
Corresponding prompt information, and the prompt information is uploaded to cloud platform, for example, being analyzed the harmonic component is LED light
Normal harmonic wave, then corresponding prompt information can be " please replace the preferable LED light of quality " to reduce harmonic wave interference, improve
The safety of electrical system, and then the stability of monitoring terminal is improved, reduce the probability of monitors failure.
The early warning type and the monitoring Wave data are uploaded to cloud platform by step 150, so that the cloud platform
Electric fire disaster warning is carried out according to the early warning type and the monitoring Wave data.
It should be noted that fire alarm when in order to realize to electrical system operation, usually monitors terminal according to first
Collected monitoring data are uploaded to cloud platform by setpoint frequency, and cloud platform is based on the monitoring data combination special algorithm received
Fire alarm is carried out to electrical system；Monitoring terminal simultaneously can be according to data processing side described in above-mentioned steps 110- step 150
Method carries out preliminary analysis to the monitoring data and handles, then will be existing with exception once there are abnormal phenomenon for discovery electrical system
As relevant Wave data is uploaded to cloud platform, while the frequency that collected monitoring data are uploaded to cloud platform is improved, i.e.,
When determining that the harmonic component meets setting condition, the monitoring data are uploaded to cloud platform according to the second setpoint frequency,
Wherein, second setpoint frequency is higher than first setpoint frequency.It is understood that cloud platform needs basis to receive
Various monitoring data (such as it is phase voltage, phase current, phase current increment, reactive power, phase active power increment, apparent energy, surplus
Aftercurrent, insulation impedance or phase temperature increment etc.) and Wave data relevant to abnormal phenomenon progress fire alarm, without
It is only in accordance with Wave data relevant to abnormal phenomenon.
Further, the active electrical fire data processing method further include: based on preset algorithm to the fundamental wave
Component is analyzed, and when determining the fundametal compoment exception, such as the fundametal compoment has exceeded setting normal range (NR), then will
The monitoring Wave data is uploaded to cloud platform, so that the cloud platform is pre- according to monitoring Wave data progress electrical fire
It is alert, it realizes and provides the purpose of more rich early-warning parameters for cloud platform.
Further, it when the electric parameter is phase current, is isolated based on phase current monitoring Wave data corresponding
After fundametal compoment and harmonic component, the method also includes: the fundamental current component of A phase, B phase and C phase is divided respectively
Analysis, when the fundamental current component for determining A phase is equal with the fundamental current component of B phase, but the fundamental current component of A phase and C phase
Fundamental current component is unequal, then the current monitoring Wave data of the C phase is sent to cloud platform.
Under normal circumstances, the fundamental current component of the fundamental current component of A phase, the fundamental current component of B phase and C phase it
Between be equal to each other, the fundamental current component of a certain phase and the fundamental current component of other two-phases are unequal if it exists, then recognize
It is larger mutually to occur a possibility that abnormal, there are security risks for this, therefore will be unequal with the fundamental current component of other two-phases
Phase current monitoring Wave data be packaged, and be sent to cloud platform, the phase current without uploading other two-phases monitors waveform number
According to significantly reducing data transmission pressure, and cloud platform can be monitored according to there is a possibility that the biggish phase current of security risk
Wave data is analysed in depth, or carries out long-term monitoring to the current monitoring Wave data of the phase, latent with timely discovery
Security risk, realize the purpose of efficient early warning.
The active electrical fire data processing method of one kind provided in this embodiment, when getting electrical system operation
When monitoring data, the corresponding monitoring waveform number of various electric parameters is determined based on the monitoring data and corresponding electric attribute
According to, and corresponding fundametal compoment and harmonic component are isolated based on the monitoring Wave data, it realizes and electrical system is run
When various electrical nature values (such as fundametal compoment and harmonic component) carry out comprehensive monitoring, enrich electric fire disaster warning
Parameter realizes the purpose for not losing the hidden danger information that early period occurs for fire, and then can reduce the rate of false alarm of electric fire disaster warning；
The harmonic component is analyzed by being based further on preset algorithm；It imposes a condition when determining that the harmonic component meets
When, corresponding early warning type is generated according to institute's harmonic component, and the early warning type and the monitoring Wave data are uploaded
To cloud platform, so that the cloud platform carries out electric fire disaster warning according to the early warning type and the monitoring Wave data,
The pretreatment to electric fire disaster warning parameter abundant is realized, the transmission pressure for sending data to cloud platform is reduced, is realized
The effective use of huge early-warning parameters to above-mentioned complicated (such as fundametal compoment, harmonic component).
On the basis of above-described embodiment technical solution, the method also includes: based on the electrical system operation got
When monitoring data identify that there are the appliance type of security risk or specific electrical equipments in the electrical system.The prison
The basic electric data that measured data is for example collected into particular by current transformer and voltage detecting point, such as electric current, voltage
Deng being then based on the monitoring data and calculate such as active power, without electrical nature value number work power and power factor
According to, and to differentiate, there are which to plant electric appliance in circuit on this basis.If such as there are capacitive loads in circuit, can show
Electric current leading voltage, power factor such as are negative at the features；If there are inductive load in circuit, can show voltage leading current,
Characteristic factor such as is positive at the features.If there is the electric appliance (such as washing machine, refrigerator, air-conditioning etc.) containing motor in circuit, then can lead to
The compound comparison of overpower factor and harmonic characteristic value is which kind of electrical equipment is out of joint to determine, i.e. identification electrical system
It is middle there are the appliance type of security risk or specific electrical equipment.The reason of most of electric appliances cause fire be substantially by
In power module failure, be based on this, can by determining the electrical equipment there are security risk to the identification of power module, such as
The power module of the power module of television set, the power module of washing machine and refrigerator each other be all it is different, according to
It is that there are security risks for which kind of electrical equipment that the matched electrical equipment of different electrical power module, which can calculate, reaches intelligent knowledge with this
There are the purposes of the appliance type of security risk or specific electrical equipment in other electrical system.
Embodiment two
Fig. 2 is the active electrical fire data processing method flow diagram of one kind provided by Embodiment 2 of the present invention, this
The technical solution of embodiment is further optimized on the basis of the above embodiments, specifically to " inciting somebody to action in step 150
The early warning type and the monitoring Wave data are uploaded to cloud platform " it is optimized, the benefit of optimization is to the prison
Survey Wave data and be added to temporal characteristics so that cloud platform can according to the temporal characteristics of addition to the security risk of electrical system into
Row process analysis procedure analysis improves the hidden troubles removing ability of cloud platform, and by preset electrical fire characteristic value as according to described
Monitoring Wave data is compressed, and cloud platform is allowed quickly to analyze electrical system according to corresponding electrical fire characteristic value
Existing hidden danger classification (the hidden danger classification is, for example, zero curve, ground wire hybrid junction, zero curve, ground wire misconnection or equipment leakage etc.).
The part of not detailed description please refers to above-described embodiment in this method embodiment.Referring specifically to shown in Fig. 2, this method includes such as
Lower step:
Monitoring data when step 210, acquisition electrical system operation.
Step 220 determines the corresponding monitoring of various electric parameters based on the monitoring data and corresponding electric attribute
Wave data.
Step 230 isolates corresponding fundametal compoment and harmonic component based on the monitoring Wave data.
Step 240 analyzes the harmonic component based on preset algorithm, sets when determining that the harmonic component meets
When condition, corresponding early warning type is generated according to institute's harmonic component.
Step 250, value carries out mark to the monitoring Wave data characterized by the time, to mark the monitoring waveform number
According to the time of appearance.
Wherein, the essence that mark is carried out to the monitoring Wave data is worth characterized by the time are as follows: to the monitoring waveform
The acquisition time of data is marked, so that cloud platform when receiving the monitoring Wave data, can divide according to time sequencing
The variation tendency of the monitoring waveform is analysed, security risk existing for electrical system is checked in realization in time.
Step 260 is that foundation presses the monitoring Wave data after mark with corresponding default electrical fire characteristic value
Contracting makes the cloud platform carry out electricity according to the electrical fire characteristic value with the potential fire hazard for marking electrical system current
Gas fire alarm.
Wherein, the default electrical fire characteristic value is to characterize the data of potential security risk classification existing for electrical system
Amount.For example, harmonic wave (residual current harmonic wave) over the ground or female to work can be generated at work when quality problems occurs in electrical equipment
Line harmonics (phase current harmonic wave), therefore, if quality problems occurs in electrical equipment, electric loop where electrical equipment, which will appear, mutually to be had
Function power increment, it is corresponding to generate residual current increment, and phase active power decrement occurs, the phase active power increment can be true
It is set to default electrical fire characteristic value.For another example the electrical equipment at work, can generate obvious if electrical equipment leaks electricity
Leakage current, then the leakage current can be confirmed as default electrical fire characteristic value.For another example the positions such as connecting terminal are because contacting not
It is good to cause contact resistance excessive and generate heat, lead to fire if working long hours, the loop works under the scene where contact terminal
Electric current increases, and temperature increment significantly increases, and temperature increment can be determined as to default electrical fire characteristic value at this time.By with correspondence
Default electrical fire characteristic value be according to being compressed to the monitoring Wave data after mark, so that cloud platform is beaten receiving
Potential electrical fire type existing for electrical system can efficiently be analyzed according to the electrical fire characteristic value when bag data, sent out
The approximate location of raw electrical fire.
The early warning type and the compressed monitoring Wave data are uploaded to cloud platform by step 270, so that institute
It states cloud platform and electric fire disaster warning is carried out according to the early warning type and the monitoring Wave data.
Specifically, when the cloud platform receives packaged data, according to the electrical fire characteristic value and the early warning
The corresponding Early-warning Model of type Rapid matching, and electric fire disaster warning is carried out according to the output of Early-warning Model, it is pre- to realize raising
The purpose of alert efficiency and accuracy.
The active electrical fire data processing method of one kind provided in this embodiment, by adding to the monitoring Wave data
Add temporal characteristics, so that cloud platform can carry out process analysis procedure analysis to the security risk of electrical system according to the temporal characteristics of addition, mentions
The high hidden troubles removing ability of cloud platform, and by with preset electrical fire characteristic value be foundation to the monitoring Wave data into
Row compression, allows cloud platform quickly to analyze hidden danger class existing for electrical system according to corresponding electrical fire characteristic value
Not, early warning efficiency is improved.
Embodiment three
Fig. 3 is the active electrical fire data processing system structural schematic diagram of one kind that the embodiment of the present invention three provides.Ginseng
As shown in Figure 3, the system comprises: obtain module 310, determining module 320, separation module 330, analysis module 340 and first
Sending module 350；
Wherein, module 310 is obtained, for obtaining monitoring data when electrical system operation；Determining module 320 is used for base
The corresponding monitoring Wave data of various electric parameters is determined in the monitoring data and corresponding electric attribute；Separation module
330, for isolating corresponding fundametal compoment and harmonic component based on the monitoring Wave data；Analysis module 340 is used for base
The harmonic component is analyzed in preset algorithm；First sending module 350, for being set when the determining harmonic component satisfaction
When fixed condition, corresponding early warning type is generated according to institute's harmonic component, and by the early warning type and the monitoring waveform number
According to cloud platform is uploaded to, so that the cloud platform carries out electrical fire according to the early warning type and the monitoring Wave data
Early warning.
Further, determining module 320 includes:
Statistic unit, for counting the monitoring data of identical electric attribute in preset time period；
Determination unit, for determining corresponding electric parameter according to the monitoring data of electric attribute identical in preset time period
Monitor Wave data；
Wherein, the electric parameter includes voltage, electric current, insulation resistance, at least one in line impedence and residual current
Kind.
Further, analysis module 340 is specifically used for: by the harmonic component respectively with each default harmonic wave in model library
Template is matched, and matching degree reaches the default harmonic wave template of threshold value if it exists, it is determined that the harmonic component meets setting item
Part.
Further, the first sending module 350 includes determination unit, for will reach with the matching degree of the harmonic component
Electrical equipment belonging to the default harmonic wave template of threshold value is determined as the corresponding early warning object of the harmonic component；
Mark unit carries out mark to the monitoring Wave data for being worth characterized by the time, to mark the monitoring
The time that Wave data occurs；
Compression unit, for corresponding default electrical fire characteristic value be according to the monitoring Wave data after mark into
Row compression, with the potential fire hazard for marking electrical system current, make the cloud platform according to the electrical fire characteristic value into
Row electric fire disaster warning.
Further, the system also includes the second sending module, for based on preset algorithm to the harmonic component
Before being analyzed, the monitoring data are uploaded to cloud platform according to the first setpoint frequency；
Third sending module, for being incited somebody to action according to the second setpoint frequency when determining that the harmonic component meets setting condition
The monitoring data are uploaded to cloud platform, wherein second setpoint frequency is higher than first setpoint frequency.
Further, the system also includes fundametal compoment analysis modules, for being phase current when the electric parameter
When, the fundamental current component of A phase, B phase and C phase is analyzed respectively, when the fundamental current component and the base of B phase for determining A phase
Wave current component is equal, but the fundamental current component of A phase and the fundamental current component of C phase are unequal, then by the electric current of the C phase
Monitoring Wave data is sent to cloud platform.
The active electrical fire data processing system of one kind provided in this embodiment, when getting electrical system operation
When monitoring data, the corresponding monitoring waveform number of various electric parameters is determined based on the monitoring data and corresponding electric attribute
According to, and corresponding fundametal compoment and harmonic component are isolated based on the monitoring Wave data, it realizes and electrical system is run
When various electrical nature values (such as fundametal compoment and harmonic component) carry out comprehensive monitoring, enrich electric fire disaster warning
Parameter realizes the purpose for not losing the hidden danger information that early period occurs for fire, and then can reduce the rate of false alarm of electric fire disaster warning；
The harmonic component is analyzed by being based further on preset algorithm；It imposes a condition when determining that the harmonic component meets
When, corresponding early warning type is generated according to institute's harmonic component, and the early warning type and the monitoring Wave data are uploaded
To cloud platform, so that the cloud platform carries out electric fire disaster warning according to the early warning type and the monitoring Wave data,
The pretreatment to electric fire disaster warning parameter abundant is realized, the transmission pressure for sending data to cloud platform is reduced, is realized
The effective use of huge early-warning parameters to above-mentioned complicated (such as fundametal compoment, harmonic component).
Any embodiment of that present invention can be performed in active electrical fire data processing system provided by the embodiment of the present invention
Provided active electrical fire data processing method, has the corresponding functional module of execution method and beneficial effect.Do not exist
The technical detail of detailed description in above-described embodiment, reference can be made to active electrical fire number provided by any embodiment of the invention
According to processing method.
Example IV
Fig. 4 is the structural schematic diagram for a kind of electronic equipment that the embodiment of the present invention four provides.Fig. 4, which is shown, to be suitable for being used in fact
The block diagram of the example electronic device 12 of existing embodiment of the present invention.The electronic equipment 12 that Fig. 4 is shown is only an example, no
The function and use scope for coping with the embodiment of the present invention bring any restrictions.
As shown in figure 4, electronic equipment 12 is showed in the form of universal computing device.The component of electronic equipment 12 may include
But be not limited to: one or more processor or processing unit 16, system storage 28, connect different system components (including
System storage 28 and processing unit 16) bus 18.
Bus 18 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Electronic equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be electric
The usable medium that sub- equipment 12 accesses, including volatile and non-volatile media, moveable and immovable medium.
System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (RAM) 30 and/or cache memory 32.Electronic equipment 12 may further include other removable/not removable
Dynamic, volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for read and write can not
Mobile, non-volatile magnetic media (Fig. 4 do not show, commonly referred to as " hard disk drive ").Although not shown in fig 4, Ke Yiti
For the disc driver for being read and write to removable non-volatile magnetic disk (such as " floppy disk "), and to moving non-volatile light
The CD drive of disk (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driver
It can be connected by one or more data media interfaces with bus 18.Memory 28 may include that at least one program produces
Product, the program product have one group of (such as acquisition module 310, determining module of active electrical fire data processing system
320, separation module 330, analysis module 340 and the first sending module 350) program module, these program modules are configured to hold
The function of row various embodiments of the present invention.
With one group of (such as the acquisition module 310 of active electrical fire data processing system, determining module 320, separation
Module 330, analysis module 340 and the first sending module 350) program module 42 program/utility 40, can store in example
In memory 28, such program module 42 includes but is not limited to operating system, one or more application program, Qi Tacheng
It may include the realization of network environment in sequence module and program data, each of these examples or certain combination.Program
Module 42 usually executes function and/or method in embodiment described in the invention.
Electronic equipment 12 can also with one or more external equipments 14 (such as keyboard, sensing equipment, display 24 or
Monitor terminal etc.) communication, the equipment interacted with the electronic equipment 12 can be also enabled a user to one or more to be communicated, and/
Or (such as network interface card is adjusted with any equipment for enabling the electronic equipment 12 to be communicated with one or more of the other calculating equipment
Modulator-demodulator etc.) communication.This communication can be carried out by input/output (I/O) interface 22.Also, electronic equipment 12 is also
Network adapter 20 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network can be passed through
Network, such as internet) communication.As shown, network adapter 20 is communicated by bus 18 with other modules of electronic equipment 12.
It should be understood that although not shown in the drawings, other hardware and/or software module can not used in conjunction with electronic equipment 12, including but not
Be limited to: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and
Data backup storage system etc..
Processing unit 16 by the program that is stored in system storage 28 of operation, thereby executing various function application and
Data processing, such as realize active electrical fire data processing method provided by the embodiment of the present invention, this method comprises:
Obtain monitoring data when electrical system operation；
The corresponding monitoring Wave data of various electric parameters is determined based on the monitoring data and corresponding electric attribute；
Corresponding fundametal compoment and harmonic component are isolated based on the monitoring Wave data；
The harmonic component is analyzed based on preset algorithm；
When determining that the harmonic component meets setting condition, corresponding early warning type is generated according to institute's harmonic component, and
The early warning type and the monitoring Wave data are uploaded to cloud platform, so that the cloud platform is according to the early warning type
And the monitoring Wave data carries out electric fire disaster warning.
Processing unit 16 by the program that is stored in system storage 28 of operation, thereby executing various function application and
Data processing, such as realize active electrical fire data processing method provided by the embodiment of the present invention.
Certainly, it will be understood by those skilled in the art that processor can also realize it is provided by any embodiment of the invention
The technical solution of active electrical fire data processing method.
Embodiment five
The embodiment of the present invention five additionally provides a kind of computer readable storage medium, is stored thereon with computer program, should
Active electrical fire data processing method, this method as provided by the embodiment of the present invention are realized when program is executed by processor
Include:
Obtain monitoring data when electrical system operation；
The corresponding monitoring Wave data of various electric parameters is determined based on the monitoring data and corresponding electric attribute；
Corresponding fundametal compoment and harmonic component are isolated based on the monitoring Wave data；
The harmonic component is analyzed based on preset algorithm；
When determining that the harmonic component meets setting condition, corresponding early warning type is generated according to institute's harmonic component, and
The early warning type and the monitoring Wave data are uploaded to cloud platform, so that the cloud platform is according to the early warning type
And the monitoring Wave data carries out electric fire disaster warning.
Certainly, a kind of computer readable storage medium provided by the embodiment of the present invention, the computer program stored thereon
The method operation being not limited to the described above, can also be performed active electrical fire data provided by any embodiment of the invention
Relevant operation in processing method.
The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable media
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, system or
Device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: tool
There are electrical connection, the portable computer diskette, hard disk, random access memory (RAM), read-only memory of one or more conducting wires
(ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-
ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storage
Medium can be any tangible medium for including or store program, which can be commanded execution system, system or device
Using or it is in connection.
Computer-readable signal media may include in monitoring data, target component etc., wherein carrying computer can
The program code of reading.Monitoring data, the target component of this propagation can take various forms, including but not limited to data frame etc.
Form.Computer-readable signal media can also be any computer-readable medium other than computer readable storage medium,
The computer-readable medium can send, propagate or transmit for by instruction execution system, system or device use or
Program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of active electrical fire data processing method characterized by comprising
Obtain monitoring data when electrical system operation；
The corresponding monitoring Wave data of various electric parameters is determined based on the monitoring data and corresponding electric attribute；
Corresponding fundametal compoment and harmonic component are isolated based on the monitoring Wave data；
The harmonic component is analyzed based on preset algorithm；
When determine the harmonic component meet impose a condition when, corresponding early warning type is generated according to institute's harmonic component, and by institute
State early warning type and the monitoring Wave data be uploaded to cloud platform so that the cloud platform according to the early warning type and
The monitoring Wave data carries out electric fire disaster warning.
2. the method according to claim 1, wherein true based on the monitoring data and corresponding electric attribute
Determine the corresponding monitoring Wave data of various electric parameters, comprising:
Count the monitoring data of identical electric attribute in preset time period；
The monitoring Wave data of corresponding electric parameter is determined according to the monitoring data of electric attribute identical in preset time period；
Wherein, the electric parameter include voltage, electric current, insulation resistance, at least one of line impedence and residual current.
3. the harmonic component is analyzed the method according to claim 1, wherein being based on preset algorithm,
Include:
The harmonic component is matched with each default harmonic wave template in model library respectively, matching degree reaches threshold value if it exists
Default harmonic wave template, it is determined that the harmonic component, which meets, to impose a condition.
4. according to the method described in claim 3, it is characterized in that, when determine the harmonic component meet impose a condition when, root
Corresponding early warning type is generated according to institute's harmonic component, comprising:
By with the matching degree of the harmonic component reach electrical equipment belonging to the default harmonic wave template of threshold value be determined as it is described humorous
The corresponding early warning object of wave component.
5. method according to claim 1-4, which is characterized in that by the early warning type and the monitoring wave
Graphic data is uploaded to cloud platform, comprising:
Characterized by the time value to the monitoring Wave data carry out mark, with mark it is described monitoring Wave data appearance when
Between；
It is that foundation compresses the monitoring Wave data after mark with corresponding default electrical fire characteristic value, it is electrical to mark
The current potential fire hazard of system, makes the cloud platform carry out electric fire disaster warning according to the electrical fire characteristic value.
6. method according to claim 1-4, which is characterized in that based on preset algorithm to the harmonic component into
Before row analysis, further includes:
The monitoring data are uploaded to cloud platform according to the first setpoint frequency；
When determining that the harmonic component meets setting condition, the monitoring data are uploaded to cloud according to the second setpoint frequency and are put down
Platform, wherein second setpoint frequency is higher than first setpoint frequency.
7. method according to claim 1-4, which is characterized in that when the electric parameter is phase current, base
After phase current monitoring Wave data isolates corresponding fundametal compoment and harmonic component, further includes: respectively to A phase, B phase and
The fundamental current component of C phase is analyzed, when the fundamental current component for determining A phase is equal with the fundamental current component of B phase, but A
The fundamental current component of phase and the fundamental current component of C phase are unequal, then are sent to the current monitoring Wave data of the C phase
Cloud platform.
8. a kind of active electrical fire data processing system, which is characterized in that the system comprises:
Module is obtained, for obtaining monitoring data when electrical system operation；
Determining module, for determining the corresponding monitoring of various electric parameters based on the monitoring data and corresponding electric attribute
Wave data；
Separation module, for isolating corresponding fundametal compoment and harmonic component based on the monitoring Wave data；
Analysis module, for being analyzed based on preset algorithm the harmonic component；
First sending module, for being generated and being corresponded to according to institute's harmonic component when determining that the harmonic component meets setting condition
Early warning type, and the early warning type and the monitoring Wave data are uploaded to cloud platform, so that the cloud platform root
Electric fire disaster warning is carried out according to the early warning type and the monitoring Wave data.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor is realized as described in any one of claim 1-7 when executing the computer program
Active electrical fire data processing method.
10. a kind of storage medium comprising computer executable instructions, the computer executable instructions are by computer disposal
Such as active electrical fire data processing method of any of claims 1-7 is realized when device executes.
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| CN201910330236.4A CN109920195A (en) | 2019-04-23 | 2019-04-23 | Active electrical fire data processing method, system, equipment and medium |
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| CN201910330236.4A CN109920195A (en) | 2019-04-23 | 2019-04-23 | Active electrical fire data processing method, system, equipment and medium |
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