CN108537415A - A kind of distribution method, the apparatus and system of online safety utilization of electric power - Google Patents
A kind of distribution method, the apparatus and system of online safety utilization of electric power Download PDFInfo
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Abstract
A kind of distribution method of online safety utilization of electric power includes：Obtain power consumption parameter information when power distribution equipment operation；The power consumption parameter information is substituted into trained distribution neural network model in advance, electrical equipment, which is calculated, by Cloud Server the abnormal estimation time occurs；Warning message is generated according to the estimation time being calculated.So that user or managerial staff member is timely found and is handled and be likely to occur abnormal equipment, reduces the loss of the electrical equipment extremely caused person and property.
Description
Technical field
The invention belongs to power domain more particularly to a kind of distribution method, the apparatus and systems of online safety utilization of electric power.
Background technology
Power distribution equipment refers in electrical equipment normal operation, by measuring the power consumption of electrical equipment, for electrical equipment point
With electric energy, when electrical equipment breaks down, operated by detecting the circuit to break down, and by automatic or manual, it is fast
Fast disengagement failure circuit pack makes system restore the device of normal operation.Therefore, power distribution equipment is specific implementation electrical main connecting wire
The important device of function.
Since current power distribution equipment general utility functions are limited only to the parameters such as power, electric current, the voltage of detection electrical equipment,
Control electrical equipment electric energy supply, when electrical equipment in use, the exception of discovery electrical equipment that cannot be as early as possible can
It can make damage property or personal safety since electrical equipment is abnormal.
Invention content
In view of this, an embodiment of the present invention provides a kind of distribution method, the apparatus and system of online safety utilization of electric power, with
Solve in the prior art electrical equipment in use, the exception of discovery electrical equipment that cannot be as early as possible, may due to
The problem of electric equipment makes damage property or personal safety extremely.
The first aspect of the embodiment of the present invention provides a kind of distribution method of online safety utilization of electric power, the method packet
It includes：
Obtain power consumption parameter information when power distribution equipment operation；
The power consumption parameter information is substituted into trained distribution neural network model in advance, is calculated by Cloud Server
It obtains electrical equipment and the abnormal estimation time occurs；
Warning message is generated according to the estimation time being calculated.
With reference to first aspect, in the first possible realization method of first aspect, the power consumption parameter is believed described
Breath substitutes into trained distribution neural network model in advance, and electrical equipment, which is calculated, by Cloud Server estimating for exception occurs
Before the step of between timing, the method further includes：
Historical sample data is obtained, the historical sample data includes that history power consumption parameter information and the parameter are corresponding
There is the abnormal time in equipment；
The historical sample data is substituted into the distribution neural network model to be trained, determines the distribution nerve net
Parameter value in network model.
With reference to first aspect or in the first possible realization method of first aspect, second in first aspect may be real
In existing mode, the power consumption parameter information include utilization voltage, electricity consumption electric current, line temperature, electrical equipment information, electrical leakage quantity,
One or more in electric power duration, electricity consumption time point, weather humidity, dry weather degree.
With reference to first aspect, in the third possible realization method of first aspect, the method further includes：
Power consumption parameter information when according to the power distribution equipment operation currently obtained is searched and is worked as in conjunction with historical sample data
The configuration information of preceding power consumption parameter information matches；
Distribution is carried out to electrical equipment according to the configuration information searched.
With reference to first aspect, in the 4th kind of possible realization method of first aspect, the method further includes：
Search the user terminal bound in electrical equipment；
Sent to the user terminal includes that electrical equipment the abnormal warning message for estimating the time occurs.
The second aspect of the embodiment of the present invention provides a kind of power distribution equipment of online safety utilization of electric power, described device packet
It includes：
Power consumption parameter information acquisition unit, for obtaining power consumption parameter information when power distribution equipment operation；
Computing unit leads to for the power consumption parameter information to be substituted into trained distribution neural network model in advance
It crosses Cloud Server and the estimation time that exception occurs in electrical equipment is calculated；
Warning message generation unit, for generating warning message according to the estimation time being calculated.
In conjunction with second aspect, in the first possible realization method of second aspect, described device further includes：
Sample acquisition unit, for obtaining historical sample data, the historical sample data includes history power consumption parameter letter
There is the abnormal time in breath equipment corresponding with the parameter；
Training unit is trained for the historical sample data to be substituted into the distribution neural network model, determines
Parameter value in the distribution neural network model.
In conjunction with second aspect, in second of possible realization method of second aspect, the power consumption parameter information includes using
Piezoelectric voltage, electricity consumption electric current, line temperature, electrical equipment information, electrical leakage quantity, electric power duration, electricity consumption time point, weather
One or more in humidity, dry weather degree.
The third aspect of the embodiment of the present invention provides a kind of distribution system of online safety utilization of electric power, including memory,
Processor and it is stored in the computer program that can be run in the memory and on the processor, the processor executes
It is realized when the computer program as described in any one of first aspect the step of the distribution method of online safety utilization of electric power.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, is realized when the computer program is executed by processor online as described in any one of first aspect
The step of distribution method of formula safety utilization of electric power.
Existing advantageous effect is the embodiment of the present invention compared with prior art：By obtaining use when power distribution equipment operation
Electrical parameter information, and the distribution parameter information is substituted into trained distribution neural network model in advance, so as to logical
It crosses Cloud Server and the estimation time that exception occurs in electrical equipment is calculated, it includes the warning message for estimating the time to generate,
The calculation processing of powerful back-end data can be provided by Cloud Server, more accurate prediction result can be provided so that
User or managerial staff member, which timely can have found and handle, is likely to occur abnormal equipment, reduces electrical equipment exception institute
The loss of the person and property that bring.
Description of the drawings
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only the present invention some
Embodiment for those of ordinary skill in the art without having to pay creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of implementation process schematic diagram of the distribution method of online safety utilization of electric power provided in an embodiment of the present invention；
Fig. 2 is the implementation process signal of the distribution method of another online safety utilization of electric power provided in an embodiment of the present invention
Figure；
Fig. 3 is the implementation process signal of the distribution method of another online safety utilization of electric power provided in an embodiment of the present invention
Figure；
Fig. 4 is the schematic diagram of the power distribution equipment of online safety utilization of electric power provided in an embodiment of the present invention；
Fig. 5 is the schematic diagram of the distribution system of online safety utilization of electric power provided in an embodiment of the present invention.
Specific implementation mode
In being described below, for illustration and not for limitation, it is proposed that such as tool of particular system structure, technology etc
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention can also be realized in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, in case unnecessary details interferes description of the invention.
In order to illustrate technical solutions according to the invention, illustrated below by specific embodiment.
It is that a kind of implementation process of the distribution method of online safety utilization of electric power provided by the embodiments of the present application is shown as shown in Figure 1
It is intended to, details are as follows：
In step S101, power consumption parameter information when power distribution equipment operation is obtained；
Specifically, the power consumption parameter information may include utilization voltage, electricity consumption electric current, line temperature, electrical equipment letter
One or more in breath, electrical leakage quantity, electric power duration, electricity consumption time point, weather humidity, dry weather degree.
Wherein, utilization voltage can be the utilization voltage of the electrical equipment of entire distribution system, or be part distribution wire
The line voltage distribution on road.Since abnormal voltage can influence the normal use of electrical equipment, or even can electrical equipment be damaged
Evil.Such as the prolonged rated voltage for exceeding electrical equipment, the electronic component in electrical equipment is damaged, or even cause fire
Deng.
The electricity consumption electric current may include the total current of distribution system, or the electric current of different distribution lines, or
Person can also be the electric current of single electrical equipment.By detecting the electricity consumption electric current of different circuits, and the electricity consumption can be combined
The quantity and power of the electrical equipment of circuit, or the individually power of electrical equipment, determine the working condition of current power equipment,
Such as the working condition etc. of normal operating conditions or non-rated power.
The height of the line temperature is related to the power of the electrical equipment with electric line, with the electrical equipment of electric line
Power is higher, under normal circumstances caused by heat also can be higher, still, if circuit occur poor contact, electric leakage or its
When its disturbing factor, also can line temperature be changed.
The electrical leakage quantity can be detected by the input current in circuit and the difference of output current, when the leakage in circuit
Electric current is bigger, also higher to electrical equipment or the other unexpected probability of generation.
The electrical equipment information may include the information such as rated power, rated voltage, the rated current of electrical equipment.
The electric power duration can be whole system, or electric power the holding in a certain value of single circuit
Continuous duration.
In addition, the power consumption parameter information further includes electricity consumption time point, weather humidity, dry weather degree etc., when different
Between point can influence people and can influence the use of electrical equipment to frequency of use, duration of electrical equipment etc. and different weather
Frequency, duration etc..
In step s 102, the power consumption parameter information is substituted into trained distribution neural network model in advance, led to
It crosses Cloud Server and the estimation time that exception occurs in electrical equipment is calculated；
The distribution neural network model includes input parameter and output result, wherein input parameter may include electricity consumption
Voltage, electricity consumption electric current, line temperature, electrical equipment information, electrical leakage quantity, electric power duration, electricity consumption time point, day air humidity
One or more in degree, dry weather degree, output result are that electrical equipment the abnormal estimation time occurs.
The distribution neural network model can be trained to obtain by historical sample data.When historical sample data is got over
Abundant, the accuracy of obtained distribution neural network model also can be higher, so as to which more accurate electricity consumption is calculated
There is the abnormal estimation time in equipment.
According to the difference for substituting into parameter, the result that the estimation time of exception occurs in the electrical equipment being calculated can not yet
Together.It, can be abnormal by the appearance of the electrical equipment in the power consumption parameter information determining system of system in optional embodiment
Time according to a preliminary estimate further determine that estimate and will appear abnormal electrical equipment then by the power consumption parameter information of circuit
There is the abnormal further estimation time in the circuit and electrical equipment at place.
In preferred embodiment, the power consumption parameter information can be sent to the Cloud Server of distal end, by Cloud Server
Complete the calculating of the estimation time.After the completion of Cloud Server calculates, by searching for the user terminal corresponding to electrical equipment, to
User terminal sends warning message.
In step s 103, warning message is generated according to the estimation time being calculated.
Occur the abnormal estimation time according to the electrical equipment that is calculated, and timely generates when including the estimation
Between warning message, the warning message can be sent to the corresponding user terminal of the electrical equipment, can be by dialing electricity
Words send short message, send the modes such as APP information, and warning message is sent to the user terminal bound in electrical equipment.
Certainly, the warning message can also be sent to monitoring center, the corresponding power consumption parameter information of the warning message,
Electrical equipment can be sent to Cloud Server storage, facilitate subsequent inquiry.
The present embodiment is substituted by obtaining power consumption parameter information when power distribution equipment operation, and by the distribution parameter information
There is exception so as to which electrical equipment is calculated by Cloud Server in advance trained distribution neural network model
Estimate the time, it includes the warning message for estimating the time to generate so that user or managerial staff member can timely send out
It now is likely to occur abnormal equipment with processing, reduces the loss of the electrical equipment extremely caused person and property.
Fig. 2 is the implementation process schematic diagram of the distribution method of another online safety utilization of electric power provided by the embodiments of the present application,
Details are as follows：
In step s 201, power consumption parameter information when power distribution equipment operation is obtained；
In step S202, obtain historical sample data, the historical sample data include history power consumption parameter information and
There is the abnormal time in the corresponding equipment of the parameter；
Specifically, the acquisition of the historical sample data or record need to pass through certain time length.For example, in electrical equipment work
During work, the power consumption parameter information of electrical equipment is recorded, when not knowing that the abnormal time occurs in electrical equipment at this time, is needed
After exception occurs in electrical equipment, occurs the abnormal time according to electrical equipment, the power consumption parameter letter recorded before improving
There is the abnormal time in the corresponding electrical equipment of breath.When electrical equipment occurs abnormal, exception is occurred according to electrical equipment
Time point, it may be determined that the abnormal time occurs in the electrical equipment corresponding to the power consumption parameter information recorded before this.
In step S203, the historical sample data is substituted into the distribution neural network model and is trained, is determined
Parameter value in the distribution neural network model.
Using the power consumption parameter information in historical sample data as input vector, the electrical equipment in historical sample data goes out
Now the abnormal time as output vector, substitutes into distribution neural network model and is trained, pass through training repeatedly, gradual perfection
The numerical value of parameter in distribution neural network model.
In step S204, the power consumption parameter information is substituted into trained distribution neural network model in advance, is led to
It crosses Cloud Server and the estimation time that exception occurs in electrical equipment is calculated；
In step S205, warning message is generated according to the estimation time being calculated.
Step S204-S205 and the step S102-S103 in Fig. 1 are essentially identical.
The present embodiment has further carried out specific introduction to the acquisition modes of historical sample data and training method, passes through
Historical data is trained distribution neural network model, occurs to the electrical equipment that future occurs so as to effectively abnormal
The estimation time speculated so that user can timely obtain electrical equipment and be likely to occur abnormal information, help to subtract
The damage of few electrical equipment.
Fig. 3 is the implementation process of the distribution method of another online safety utilization of electric power provided by the embodiments of the present application, is described in detail such as
Under：
In step S301, power consumption parameter information when power distribution equipment operation is obtained；
In step s 302, the power consumption parameter information is substituted into trained distribution neural network model in advance, led to
It crosses Cloud Server and the estimation time that exception occurs in electrical equipment is calculated；
In step S303, warning message is generated according to the estimation time being calculated；
Step S301-S303 and the step S101-S103 in Fig. 1 are essentially identical.
In step s 304, power consumption parameter information when being run according to the power distribution equipment currently obtained, in conjunction with historical sample
Data are searched and the matched configuration information of current power parameter information；
The configuration information of the power consumption parameter information matches, can be by changeable in the determination power consumption parameter information
Parameter, for example, utilization voltage can be improved either reduce utilization voltage, reduction or increase the quantity of electrical equipment, increase or
Reduce electricity consumption electric current etc..It can be according to searching preferably configuration information in the adjusting data acquisition system of history, or can also pass through
The mode of neural-network learning model, from the acquistion of historical data middle school to preferable configuration information.
When changing the quantity of electrical equipment, phase can be sent to user terminal according to the user terminal corresponding to electrical equipment
The prompt message answered.
In step S305, distribution is carried out to electrical equipment according to the configuration information searched.
By selecting corresponding configuration information according to power consumption parameter information, electric equipment is caused so as to effectively reduce
The factor of damage further increases the safety that electrical equipment uses.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Fig. 4 is a kind of structural schematic diagram of the configuration device of online safety utilization of electric power provided by the embodiments of the present application, described
The configuration device of online safety utilization of electric power includes：
Power consumption parameter information acquisition unit 401, for obtaining power consumption parameter information when power distribution equipment operation；
Computing unit 402, for the power consumption parameter information to be substituted into trained distribution neural network model in advance,
Electrical equipment is calculated by Cloud Server and the abnormal estimation time occurs；
Warning message generation unit 403, for generating warning message according to the estimation time being calculated.
Preferably, described device further includes：
Sample acquisition unit, for obtaining historical sample data, the historical sample data includes history power consumption parameter letter
There is the abnormal time in breath equipment corresponding with the parameter；
Training unit is trained for the historical sample data to be substituted into the distribution neural network model, determines
Parameter value in the distribution neural network model.
Preferably, the power consumption parameter information includes utilization voltage, electricity consumption electric current, line temperature, electrical equipment information, leakage
One or more in electricity, electric power duration, electricity consumption time point, weather humidity, dry weather degree.
The power distribution equipment of online safety utilization of electric power described in Fig. 4, the distribution method with the online safety utilization of electric power described in Fig. 1-3
It is corresponding.
Fig. 5 is the schematic diagram of the distribution system for the online safety utilization of electric power that one embodiment of the invention provides.As shown in figure 5,
The distribution system 5 of the online safety utilization of electric power of the embodiment includes：Processor 50, memory 51 and it is stored in the memory
In 51 and the computer program 52 that can be run on the processor 50, for example, online safety utilization of electric power distribution program.It is described
Processor 50 is realized when executing the computer program 52 in the distribution method embodiment of above-mentioned each online safety utilization of electric power
Step, such as step 101 shown in FIG. 1 is to 103.Alternatively, the processor 50 is realized when executing the computer program 52
State the function of each module/unit in each device embodiment, such as the function of module 501 to 503 shown in Fig. 5.
Illustratively, the computer program 52 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 51, and are executed by the processor 50, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 52 in the distribution system 5 of the online safety utilization of electric power is described.For example, the calculating
Machine program 52 can be divided into power consumption parameter information acquisition unit, computing unit and warning message generation unit, each unit tool
Body function is as follows：
Power consumption parameter information acquisition unit, for obtaining power consumption parameter information when power distribution equipment operation；
Computing unit leads to for the power consumption parameter information to be substituted into trained distribution neural network model in advance
It crosses Cloud Server and the estimation time that exception occurs in electrical equipment is calculated；
Warning message generation unit, for generating warning message according to the estimation time being calculated.
The distribution system of the online safety utilization of electric power may include, but be not limited only to, processor 50, memory 51.Ability
Field technique personnel are appreciated that Fig. 5 is only the example of the distribution system 5 of online safety utilization of electric power, do not constitute to online
The restriction of the distribution system 5 of safety utilization of electric power may include components more more or fewer than diagram, or combine certain components, or
The different component of person, such as the distribution system of the online safety utilization of electric power can also include input-output equipment, network insertion
Equipment, bus etc..
Alleged processor 50 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng.
The memory 51 can be the internal storage unit of the distribution system 5 of the online safety utilization of electric power, such as
The hard disk or memory of the distribution system 5 of wire type safety utilization of electric power.The memory 51 can also be the online safety utilization of electric power
The plug-in type hard disk being equipped on the External memory equipment of distribution system 5, such as the distribution system 5 of the online safety utilization of electric power,
Intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash
Card) etc..Further, the memory 51 can also both include the inside of the distribution system 5 of the online safety utilization of electric power
Storage unit also includes External memory equipment.The memory 51 is for storing the computer program and the online peace
Other programs and data needed for the distribution system of full electricity consumption.The memory 51 can be also used for temporarily storing and export
Or the data that will be exported.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each work(
Can unit, module division progress for example, in practical application, can be as needed and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device are divided into different functional units or module, more than completion
The all or part of function of description.Each functional unit, module in embodiment can be integrated in a processing unit, also may be used
It, can also be above-mentioned integrated during two or more units are integrated in one unit to be that each unit physically exists alone
The form that hardware had both may be used in unit is realized, can also be realized in the form of SFU software functional unit.In addition, each function list
Member, the specific name of module are also only to facilitate mutually distinguish, the protection domain being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may realize that lists described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, depends on the specific application and design constraint of technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as
Multiple units or component can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be by some interfaces, device
Or INDIRECT COUPLING or the communication connection of unit, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can be stored in a computer read/write memory medium.Based on this understanding, the present invention realizes above-mentioned implementation
All or part of flow in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method..Wherein, the computer program includes computer program code, the computer program
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..Computer-readable Jie
Matter may include：Can carry the computer program code any entity or device, recording medium, USB flash disk, mobile hard disk,
Magnetic disc, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to legislation in jurisdiction and the requirement of patent practice
Subtract, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium do not include be electric carrier signal and
Telecommunication signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although with reference to aforementioned reality
Applying example, invention is explained in detail, it will be understood by those of ordinary skill in the art that：It still can be to aforementioned each
Technical solution recorded in embodiment is modified or equivalent replacement of some of the technical features；And these are changed
Or replace, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of distribution method of online safety utilization of electric power, which is characterized in that the method includes：
Obtain power consumption parameter information when power distribution equipment operation；
The power consumption parameter information is substituted into trained distribution neural network model in advance, is calculated by Cloud Server
There is the abnormal estimation time in electrical equipment；
Warning message is generated according to the estimation time being calculated.
2. the distribution method of online safety utilization of electric power according to claim 1, which is characterized in that described by the electricity consumption
Parameter information substitutes into trained distribution neural network model in advance, and it is different that electrical equipment appearance is calculated by Cloud Server
Before the step of normal estimation time, the method further includes：
Historical sample data is obtained, the historical sample data includes history power consumption parameter information and the corresponding equipment of the parameter
There is the abnormal time；
The historical sample data is substituted into the distribution neural network model to be trained, determines the distribution neural network mould
Parameter value in type.
3. the distribution method of online safety utilization of electric power according to claim 1 or 2, which is characterized in that the power consumption parameter
Information includes utilization voltage, electricity consumption electric current, line temperature, electrical equipment information, electrical leakage quantity, electric power duration, electricity consumption
One or more in time point, weather humidity, dry weather degree.
4. the distribution method of online safety utilization of electric power according to claim 1, which is characterized in that the method further includes：
Power consumption parameter information when according to the power distribution equipment operation currently obtained is searched and is used with current in conjunction with historical sample data
The configuration information of electrical parameter information matches；
Distribution is carried out to electrical equipment according to the configuration information searched.
5. the distribution method of online safety utilization of electric power according to claim 1, which is characterized in that the method further includes：
Search the user terminal bound in electrical equipment；
Sent to the user terminal includes that electrical equipment the abnormal warning message for estimating the time occurs.
6. a kind of power distribution equipment of online safety utilization of electric power, which is characterized in that described device includes：
Power consumption parameter information acquisition unit, for obtaining power consumption parameter information when power distribution equipment operation；
Computing unit passes through cloud for the power consumption parameter information to be substituted into trained distribution neural network model in advance
Server is calculated electrical equipment and the abnormal estimation time occurs；
Warning message generation unit, for generating warning message according to the estimation time being calculated.
7. the power distribution equipment of online safety utilization of electric power according to claim 6, which is characterized in that described device further includes：
Sample acquisition unit, for obtaining historical sample data, the historical sample data include history power consumption parameter information and
There is the abnormal time in the corresponding equipment of the parameter；
Training unit is trained for the historical sample data to be substituted into the distribution neural network model, described in determination
Parameter value in distribution neural network model.
8. the power distribution equipment of the online safety utilization of electric power described according to claim 6 or 7, which is characterized in that the power consumption parameter
Information includes utilization voltage, electricity consumption electric current, line temperature, electrical equipment information, electrical leakage quantity, electric power duration, electricity consumption
One or more in time point, weather humidity, dry weather degree.
9. a kind of distribution system of online safety utilization of electric power, including memory, processor and it is stored in the memory simultaneously
The computer program that can be run on the processor, which is characterized in that the processor executes real when the computer program
Now as described in any one of claim 1 to 5 the step of the distribution method of online safety utilization of electric power.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, feature to exist
In realizing that the online safety utilization of electric power as described in any one of claim 1 to 5 is matched when the computer program is executed by processor
The step of method for electrically.
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