CN109886599A - Power failure information data Analysis Service system and processing feedback method - Google Patents
Power failure information data Analysis Service system and processing feedback method Download PDFInfo
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- 238000007405 data analysis Methods 0.000 title claims abstract description 13
- 238000012545 processing Methods 0.000 title abstract description 10
- 238000011084 recovery Methods 0.000 claims abstract description 50
- 230000008439 repair process Effects 0.000 claims abstract description 26
- 238000011835 investigation Methods 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- 238000012423 maintenance Methods 0.000 claims description 29
- 230000015556 catabolic process Effects 0.000 claims description 19
- 238000012216 screening Methods 0.000 claims description 13
- 230000004044 response Effects 0.000 claims description 8
- 230000002349 favourable effect Effects 0.000 claims description 3
- 238000013024 troubleshooting Methods 0.000 abstract description 6
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Abstract
It include obtaining fault message the invention discloses a kind of power failure information data Analysis Service system and processing feedback method, the processing feedback method of power failure information data；Whether the acquired fault message of investigation is to repeat fault message；If the fault message obtained is non-duplicate fault message, judge whether the failure is client's internal fault；If the fault message is non-customer internal fault, start catastrophe failure emergency preplan, preferentially deploy recovery vehicle, Broadcast Fault repairs information；If the failure is client's internal fault, recovery vehicle is deployed.Power failure information data Analysis Service system of the invention includes: investigation module, fault degree analysis module, catastrophe failure emergency preplan module and client's internal fault respond module.The present invention can ensure the unobstructed of failure feedback channel while improving troubleshooting efficiency.
Description
Technical field
The present invention relates to a kind of power failure information data Analysis Service system and processing feedback methods, belong to the communication technology
Field.
Background technique
With the fast development of Chinese economy, the demand in our work and lifes to electricity is also increasing, China is
Make great efforts to accelerate power grid construction, guarantees the operation of electric system normal table.
The prior art usually goes to repairing by the nearest recovery vehicle of system allotment distance fault point for fault message,
The processing feedback method of such power failure information will lead to the waste of resource, influences troubleshooting efficiency, influences troubleshooting
Process.
Therefore, how to become those skilled in the art the problem of reasonable disposition resource while improving troubleshooting efficiency
Technical problem urgently to be resolved.
Summary of the invention
The purpose of the present invention is to provide a kind of power failure information data Analysis Service system and processing feedback method, solutions
Certainly prior art problem, reasonable disposition resource while improving troubleshooting efficiency.
The purpose of the present invention is achieved by the following technical programs:
A kind of power failure information data Analysis Service system, comprising: investigation module, fault degree analysis module, serious
Failure emergency preplan module and client's internal fault respond module；
The investigation module is used to check whether acquired fault message to be to repeat fault message；
The fault degree judgment module is for judging whether the fault message is critical failure information；
The catastrophe failure emergency preplan module repairs information for preferentially deploying recovery vehicle, Broadcast Fault；
Client's internal fault respond module sends repairing information for deploying recovery vehicle；
The fault degree judgment module is also used to select triggering catastrophe failure emergency preplan module according to its judging result
Or client's internal fault respond module.
Further, client's internal fault respond module include: recovery vehicle information acquisition module, screening module,
Preferred value computing module, prior-vehicle judgment module and instruction sending module；
The recovery vehicle information acquisition module is used to obtain the real time information of recovery vehicle；
The screening module is used to filter out the recovery vehicle for having similar breakdown repair experience alternately vehicle, is used in combination
In the acquisition alternative vehicle real time；
The preferred value computing module calculates separately the preferred value of alternative vehicle according to alternative vehicle real time；
The prior-vehicle judgment module is used to judge that the quantity of the calculated alternative vehicle for having maximum preferred value to be
It is no unique；
Described instruction sending module gives preferred value maximum alternative vehicle for sending allotment instruction.
Further, the catastrophe failure emergency preplan module includes: scheduling module and broadcast module；
The scheduling module is for preferentially deploying recovery vehicle；The broadcast module repairs information for Broadcast Fault.
A kind of power failure information data processing feedback method, comprising:
Obtain fault message；
Whether the acquired fault message of investigation is to repeat fault message；
If the fault message obtained is non-duplicate fault message, judge whether the fault message is event inside non-customer
Hinder information；If the fault message is non-customer internal fault information, starts catastrophe failure emergency preplan, preferentially deploy breakdown van
, Broadcast Fault repairs information；
If the fault message is client's internal fault information, recovery vehicle is deployed, sends repairing information.
Further, if the fault message is client's internal fault information, the method for deploying recovery vehicle includes:
Obtain the real time information of recovery vehicle；
It filters out and has the recovery vehicle of similar breakdown repair experience alternately vehicle；It is real-time to obtain the alternative vehicle
Information；
The preferred value of alternative vehicle is calculated separately according to alternative vehicle real time；It sends allotment instruction and gives preferred value maximum
Alternative vehicle.
Further, the preferential value calculating method of the alternative vehicle are as follows: preferred value=maintenance rate * positive rating * maintenance effect
Rate * arrives at efficiency,
The maintenance rate=(similar breakdown maintenance number/similar breakdown maintenance sum) * 100%；
Positive rating=(similar fault car maintenance favorable comment number/similar breakdown maintenance sum) * 100%；
Maintenance efficiency=(similar failure longest repairs the similar fault car average maintenance duration of duration -)/similar failure is most
Long maintenance duration * 100%；
It arrives at efficiency=(alternative vehicle longest arrives at duration-vehicle and arrives at duration)/longest and arrives at duration * 100%；
Further, if the fault message is client's internal fault information, the method for deploying recovery vehicle further includes
In the preferred value for calculating separately alternative vehicle according to alternative vehicle real time:
Judge whether the quantity of the calculated alternative vehicle for having maximum preferred value is unique；
If the quantity for having the alternative vehicle of maximum preferred value is not unique, further screening has similar breakdown repair
The recovery vehicle of experience alternately vehicle, and obtain the alternative vehicle real time；According to alternative vehicle real time point
The preferred value of alternative vehicle is not calculated；Sending allotment instruction gives preferred value maximum alternative vehicle.
Further, it if the quantity of the alternative vehicle after further screening is not still unique, sends allotment instruction and is imitated to arrival
The highest alternative vehicle of rate.
Further, if the fault message is non-customer internal fault information, start catastrophe failure emergency preplan, wrap
It includes:
Preferential allotment recovery vehicle；
Broadcast Fault repairs information.
Further, it if the fault message is non-customer internal fault information, is repaired by short message form Broadcast Fault
Information.
Compared with prior art, the beneficial effects of the present invention are: power failure information data provided by the invention analysis clothes
Business system and processing feedback method can ensure the unobstructed of failure feedback channel while improving troubleshooting efficiency.
Detailed description of the invention
Fig. 1 is that power failure information data of the invention handles feedback method flow chart；
Fig. 2 is the flow chart for the first specific embodiment that power failure information data of the present invention handles feedback method；
Fig. 3 is the flow chart for second of specific embodiment that power failure information data of the present invention handles feedback method；
Fig. 4 is power failure information data Analysis Service system structure diagram of the invention；
Fig. 5 is the structural representation of power failure information data Analysis Service system structure specific embodiment of the invention
Figure.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings and specific examples.
As shown in Figure 1, power failure information data handles feedback method:
S110, fault message is obtained；
Whether fault message acquired in S120, investigation is to repeat fault message；
If S130, the fault message obtained are non-duplicate fault message, judge whether the fault message is serious event
Hinder information；
It is preferential to deploy recovery vehicle, Broadcast Fault repairing letter if S140, the fault message are critical failure information
Breath；
If S150, the fault message are client's internal fault information, recovery vehicle is deployed, sends repairing information.
It is understood that the processing feedback method of power failure information provided by the invention, is obtaining what client reported for repairment
After fault message, by checking whether acquired fault message is to repeat fault message to filter out scheduled outage and repetition
Failure, by judging whether the fault message is that critical failure information can be graded that (qualitative catastrophe failure is also to failure
It is client's internal fault) and automatic trigger failure response mechanism, making different responses according to different fault levels can make
It is reasonable to obtain resource, efficiently calls, prevents the wasting of resources.
Specifically, in order to advanced optimize the reasonability of resource distribution, as shown in Fig. 2, if the fault message is client
Internal fault information, the then method for deploying recovery vehicle include:
S151, the real time information for obtaining recovery vehicle；
S152, it filters out and has the recovery vehicle of similar breakdown repair experience alternately vehicle；Obtain the alternative vehicle
Real time information；
S153, the preferred value that alternative vehicle is calculated separately according to alternative vehicle real time；
S154, it sends to deploy to instruct and gives preferred value maximum alternative vehicle.
The preferential value calculating method of the alternative vehicle are as follows: preferred value=maintenance rate * positive rating * maintenance efficiency * arrives at effect
Rate
The maintenance rate=(similar breakdown maintenance number/similar maintenance sum) * 100%；
Positive rating=(similar fault car maintenance favorable comment number/similar breakdown maintenance sum) * 100%；
Maintenance efficiency=(similar failure longest repairs the similar fault car average maintenance duration of duration -)/similar failure is most
Long maintenance duration * 100%；
It arrives at efficiency=(alternative vehicle longest arrives at duration-vehicle and arrives at duration)/longest and arrives at duration * 100%；
It is understood that after judging fault message for client's internal fault information, filters out and have similar failure and rob
Repair the recovery vehicle of experience alternately vehicle；The alternative vehicle real time is obtained, and calculates alternative vehicle preferred value, is come
It determines the reasonability that car spotting can optimize allocation of resources, improves first-aid repair efficiency.
Specifically, for the reasonability further optimized allocation of resources, avoid alternative vehicle maximum excellent because being provided simultaneously with
First it is worth and is called simultaneously, as shown in figure 3, deploys recovery vehicle if the fault message is client's internal fault information
Method further includes in the preferred value for calculating separately alternative vehicle according to alternative vehicle real time:
S155, judge whether the quantity of the calculated alternative vehicle for having maximum preferred value is unique；
If the quantity for having the alternative vehicle of maximum preferred value is not unique, further screening has similar breakdown repair
The recovery vehicle of experience alternately vehicle, and obtain the alternative vehicle real time；According to alternative vehicle real time point
The preferred value of alternative vehicle is not calculated；Sending allotment instruction gives preferred value maximum alternative vehicle.
Specifically, it if the quantity of the alternative vehicle after further screening is not still unique, sends allotment instruction and gives arrival efficiency
Highest alternative vehicle.
It is understood that having the alternative vehicle of maximum preferred value by carrying out repeatedly screening allotment, or jump out sieve
Circulation is selected, allotment instruction is directly transmitted and gives the arrival highest alternative vehicle of efficiency, the conjunction that can further optimize allocation of resources
Rationality avoids alternative vehicle from being called simultaneously because being provided simultaneously with maximum preferred value.
Specifically, for the timeliness and accuracy that guarantee catastrophe failure response with solve, as shown in Figures 2 and 3, if institute
Stating fault message is critical failure information, then the method for deploying recovery vehicle includes:
S141, the real time information for obtaining recovery vehicle；
S142, the allotment instruction recovery vehicle nearest to distance fault point is sent.
S143, information is repaired to the client for influencing section by short message form Broadcast Fault.
It is understood that the client of information to influence section is repaired by preferentially deploying recovery vehicle and Broadcast Fault,
The timeliness and initiative that can guarantee catastrophe failure response and solve.
As power failure information data Analysis Service system of the invention, as shown in Figure 4, comprising:
Module 120 is checked, the investigation module 120 is used to check whether acquired fault message to be to repeat fault message
Module 120 is checked, by checking whether acquired fault message is to repeat fault message to filter out scheduled outage and again
Multiple failure；
Fault degree judgment module 130, the fault degree judgment module 130 for judge the fault message whether be
Critical failure information, the fault degree judgment module 130 are also used to select triggering catastrophe failure response according to its judging result
Module 140 or client's internal fault respond module 150, by judging whether the fault message is that critical failure information can be right
Failure is graded (qualitative catastrophe failure or client's internal fault) and automatic trigger failure response mechanism, according to different therefore
Barrier grade makes different responses and enables to resource reasonable, efficiently calls, prevents the wasting of resources；
Catastrophe failure respond module 140, the catastrophe failure respond module 140 is for preferentially deploying recovery vehicle, broadcast
Breakdown repair information；Client's internal fault respond module 150, client's internal fault respond module 150 is for deploying repairing
Vehicle sends repairing information；Specifically, as shown in figure 5, client's internal fault respond module 150 includes: recovery vehicle letter
Cease acquisition module 151, screening module 152, preferred value computing module 153, prior-vehicle judgment module 154 and instruction sending module
155；The recovery vehicle information acquisition module 151 is used to obtain the real time information of recovery vehicle；
The screening module 152 is used to filter out the recovery vehicle for having similar breakdown repair experience alternately vehicle,
And for obtaining the alternative vehicle real time；
The preferred value computing module 153 calculates separately the preferred value of alternative vehicle according to alternative vehicle real time；
The prior-vehicle judgment module 154 is used to judge the number of the 00 calculated alternative vehicle for having maximum preferred value
It whether unique measures；
Described instruction sending module 155 gives preferred value maximum alternative vehicle for sending allotment instruction.Specifically, described
Catastrophe failure respond module 140 includes: scheduling module and broadcast module；
The scheduling module is for preferentially deploying recovery vehicle；The broadcast module repairs information for Broadcast Fault.
It should be understood by those ordinary skilled in the art that: the above is only a specific embodiment of the present invention, and
It is not used in the limitation present invention, all any modification, equivalent substitution, improvement and etc. within purport of the invention, done should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of power failure information data Analysis Service system characterized by comprising investigation module, fault degree analysis
Module, catastrophe failure emergency preplan module and client's internal fault respond module；
The investigation module is used to check whether acquired fault message to be to repeat fault message；
The fault degree judgment module is for judging whether the fault message is critical failure information；
The catastrophe failure emergency preplan module repairs information for preferentially deploying recovery vehicle, Broadcast Fault；
Client's internal fault respond module sends repairing information for deploying recovery vehicle；
The fault degree judgment module is also used to select triggering catastrophe failure emergency preplan module or visitor according to its judging result
Indoor portion's failure response module.
2. power failure information data Analysis Service system as described in claim 1, which is characterized in that event inside the client
Hindering respond module includes: recovery vehicle information acquisition module, screening module, preferred value computing module, prior-vehicle judgment module
And instruction sending module；
The recovery vehicle information acquisition module is used to obtain the real time information of recovery vehicle；
The screening module is used to filter out the recovery vehicle for having similar breakdown repair experience alternately vehicle, and for obtaining
Take the alternative vehicle real time；
The preferred value computing module calculates separately the preferred value of alternative vehicle according to alternative vehicle real time；
Whether only the prior-vehicle judgment module is used to judge the quantity of the calculated alternative vehicle for having maximum preferred value
One；
Described instruction sending module gives preferred value maximum alternative vehicle for sending allotment instruction.
3. power failure information data Analysis Service system as described in claim 1, which is characterized in that the catastrophe failure is answered
Anxious prediction scheme module includes: scheduling module and broadcast module；
The scheduling module is for preferentially deploying recovery vehicle；The broadcast module repairs information for Broadcast Fault.
4. a kind of power failure information data handles feedback method characterized by comprising
Obtain fault message；
Whether the acquired fault message of investigation is to repeat fault message；
If the fault message obtained is non-duplicate fault message, judge whether the fault message is non-customer internal fault letter
Breath；If the fault message is non-customer internal fault information, starts catastrophe failure emergency preplan, preferentially deploys recovery vehicle,
Broadcast Fault repairs information；
If the fault message is client's internal fault information, recovery vehicle is deployed, sends repairing information.
5. power failure information data as claimed in claim 4 handles feedback method, which is characterized in that if the fault message is
Client's internal fault information, the then method for deploying recovery vehicle include:
Obtain the real time information of recovery vehicle；
It filters out and has the recovery vehicle of similar breakdown repair experience alternately vehicle；The alternative vehicle is obtained to believe in real time
Breath；
The preferred value of alternative vehicle is calculated separately according to alternative vehicle real time；It is maximum standby to preferred value to send allotment instruction
Select vehicle.
6. power failure information data as claimed in claim 5 handles feedback method, which is characterized in that the alternative vehicle it is excellent
First value calculating method are as follows: preferred value=maintenance rate * positive rating * maintenance efficiency * arrives at efficiency,
The maintenance rate=(similar breakdown maintenance number/similar breakdown maintenance sum) * 100%；
Positive rating=(similar fault car maintenance favorable comment number/similar breakdown maintenance sum) * 100%；
Maintenance efficiency=(similar failure longest repairs the similar fault car average maintenance duration of duration -)/similar failure longest dimension
Repair duration * 100%；
It arrives at efficiency=(alternative vehicle longest arrives at duration-vehicle and arrives at duration)/longest and arrives at duration * 100%.
7. power failure information data as claimed in claim 5 handles feedback method, which is characterized in that if the fault message is
Client's internal fault information, the then method for deploying recovery vehicle further include calculating separately alternatively according to alternative vehicle real time
The preferred value of vehicle:
Judge whether the quantity of the calculated alternative vehicle for having maximum preferred value is unique；
If the quantity for having the alternative vehicle of maximum preferred value is not unique, further screening has similar breakdown repair experience
Recovery vehicle alternately vehicle, and obtain the alternative vehicle real time；It is counted respectively according to alternative vehicle real time
Calculate the preferred value of alternative vehicle；Sending allotment instruction gives preferred value maximum alternative vehicle.
8. power failure information data as claimed in claim 7 handles feedback method, which is characterized in that if further after screening
Alternatively the quantity of vehicle is not still unique, sends allotment instruction and gives the arrival highest alternative vehicle of efficiency.
9. power failure information data as claimed in claim 4 handles feedback method, which is characterized in that if the fault message is
Non-customer internal fault information, then start catastrophe failure emergency preplan, comprising:
Preferential allotment recovery vehicle；
Broadcast Fault repairs information.
10. power failure information data as claimed in claim 4 handles feedback method, which is characterized in that if the fault message
For non-customer internal fault information, information is repaired by short message form Broadcast Fault.
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| CN201910166057.1A CN109886599A (en) | 2019-03-06 | 2019-03-06 | Power failure information data Analysis Service system and processing feedback method |
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| CN201910166057.1A CN109886599A (en) | 2019-03-06 | 2019-03-06 | Power failure information data Analysis Service system and processing feedback method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114202092A (en) * | 2021-07-02 | 2022-03-18 | 广东电网有限责任公司广州供电局 | Power supply vehicle emergency processing system and operation method thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160330067A1 (en) * | 2014-01-21 | 2016-11-10 | Huawei Technologies Co., Ltd. | Network Service Fault Handling Method, Service Management System, and System Management Module |
| CN107092965A (en) * | 2016-11-29 | 2017-08-25 | 国网浙江省电力公司杭州供电公司 | A kind of power emergency command methods and system based on fault message |
| CN107992981A (en) * | 2017-12-22 | 2018-05-04 | 江苏新智合电力技术有限公司 | The processing feedback method and device of a kind of power failure information |
| CN109459659A (en) * | 2018-11-14 | 2019-03-12 | 国网黑龙江省电力有限公司信息通信公司 | It is a kind of for predicting the system and method for electric power system fault |
-
2019
- 2019-03-06 CN CN201910166057.1A patent/CN109886599A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160330067A1 (en) * | 2014-01-21 | 2016-11-10 | Huawei Technologies Co., Ltd. | Network Service Fault Handling Method, Service Management System, and System Management Module |
| CN107092965A (en) * | 2016-11-29 | 2017-08-25 | 国网浙江省电力公司杭州供电公司 | A kind of power emergency command methods and system based on fault message |
| CN107992981A (en) * | 2017-12-22 | 2018-05-04 | 江苏新智合电力技术有限公司 | The processing feedback method and device of a kind of power failure information |
| CN109459659A (en) * | 2018-11-14 | 2019-03-12 | 国网黑龙江省电力有限公司信息通信公司 | It is a kind of for predicting the system and method for electric power system fault |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114202092A (en) * | 2021-07-02 | 2022-03-18 | 广东电网有限责任公司广州供电局 | Power supply vehicle emergency processing system and operation method thereof |
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