CN116205534A - Customer service center fault pushing system based on intelligent power grid - Google Patents
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Abstract
The invention relates to the technical field of customer service fault pushing analysis, and particularly discloses a customer service center fault pushing system based on a smart grid.
Description
Technical Field
The invention belongs to the technical field of customer service fault pushing analysis, and relates to a customer service center fault pushing system based on a smart grid.
Technical Field
Along with weather, human factors and the like, the power distribution network frequently fails to cause power failure, once the power distribution network fails, inconvenience is brought to life and work of residents, even more serious loss is caused, and in order to ensure safe operation of electric power, the power distribution network fault monitoring analysis is more important.
At present, the power grid customer service fault pushing mainly comprises the steps of reporting the partition centers when the power grid faults are in power failure so as to monitor and analyze the partition centers, and obviously, the power grid customer service fault pushing has the following defects: 1. currently, no repair personnel and no users are notified to complete the repair process at the first time, so that the defects of longer maintenance time and lower service quality are caused, the task amount of monitoring and analysis is increased by monitoring the centers of all the partitions, and further loss caused by power failure is also possibly caused.
2. The power failure fault area is not analyzed in detail at present, the accuracy and the scientificity of an analysis result are reduced to a certain extent, the possibility of damage to electric appliances is further enhanced, resident life paralysis is seriously caused, resident economic loss is indirectly caused, and unexpected results are brought to social safety and stability, economic development and life of people.
3. At present, fault investigation processing is not carried out on the main line and the branch line of the power failure area comprehensively, the analyzed fault type is inconsistent with the actual fault type easily, the rush-repair time is prolonged, the daily life of residents is influenced to a certain extent, and moreover, the resident electric appliances are easily damaged, so that the life safety and property safety of the residents are not guaranteed.
Disclosure of Invention
In view of the problems in the prior art, the invention provides a customer service center fault pushing system based on a smart grid, which is used for solving the technical problems.
In order to achieve the above and other objects, the present invention adopts the following technical scheme: the invention provides a customer service center fault pushing system based on a smart grid, which comprises the following steps: the incoming call information acquisition module is used for acquiring incoming call audio corresponding to the target incoming call and extracting power failure information corresponding to the target incoming call according to the incoming call audio corresponding to the target incoming call.
And the incoming call information analysis module is used for carrying out primary power failure analysis on the target incoming call according to the power failure information corresponding to the target incoming call, and further analyzing and obtaining power failure reasons corresponding to the target incoming call, wherein the power failure reasons are divided into personal reasons and non-personal reasons.
And the power failure reason classification module is used for executing the fault position determination module if the power failure reason is identified to be a non-personal reason according to the power failure reason corresponding to the target incoming call, and executing the user payment analysis module if the power failure reason is not the personal reason.
The fault position determining module is used for determining a power failure fault area corresponding to the target power failure according to the power failure information corresponding to the target power failure.
The fault cause analysis module is used for analyzing the fault type of the power failure fault area corresponding to the target power failure according to the power failure fault area corresponding to the target power failure.
And the power failure fault analysis module is used for analyzing and obtaining the predicted maintenance duration of the fault type corresponding to the target power failure according to the fault type of the fault area corresponding to the target power failure.
And the personnel dispatch analysis module is used for extracting the personnel information of the power supply station corresponding to the power failure area from the power grid database, and further dispatching corresponding maintenance personnel to maintain.
And the user payment analysis module is used for carrying out operation analysis on the corresponding user of the target incoming call according to the power failure information corresponding to the target incoming call.
The information collection feedback module is used for feeding back the power failure fault region corresponding to the target power failure, the fault type and the predicted maintenance duration corresponding to the fault type to the user corresponding to the target incoming call in time.
As a further improvement of the invention, the power outage information corresponding to the target incoming call comprises a power outage address and a power outage time.
As a further improvement of the invention, the analysis obtains the power failure reason corresponding to the target incoming call, and the specific analysis process is as follows: a1, extracting a power failure address corresponding to a target incoming call from the power failure information according to the power failure information corresponding to the target incoming call, calling the power consumption of the current month of the power failure address corresponding to the target incoming call according to the power consumption of the current month of each user address stored in a power grid database, and further calculating the power consumption of the current month of the power failure address corresponding to the target incoming call by using a calculation formula.
A2, extracting the power-off time corresponding to the target incoming call from the power-off information corresponding to the target incoming call, extracting the real-time current value and the real-time voltage value of each time point of the power-off address corresponding to the target incoming call according to the real-time current value and the real-time voltage value of each time point of each address corresponding to the power-off address stored in the power grid database, screening the real-time current value and the real-time voltage value of each power-off time point of the power-off address corresponding to the target incoming call in the power-off time period, and calculating the real-time power value alpha of each power-off time point of the power-off address corresponding to the target incoming call by using a multiplication formula i Wherein i represents a number corresponding to each power outage time point in the power outage time period, i=1, 2.
And A3, calling the pre-stored amount of the current month of the target incoming call corresponding to the power outage address according to the pre-stored amount of the current month of each user address stored in the power grid database, comparing the power consumption amount of the current month of the target incoming call corresponding to the power outage address with the pre-stored amount of the current month of the target incoming call corresponding to the power outage address, simultaneously comparing the real-time power value of each power outage time point of the target incoming call corresponding to the power outage address with a preset resident power consumption standard power value, and if the power consumption amount of the current month of the target incoming call corresponding to the power outage address is larger than the pre-stored amount of the current month of the target incoming call corresponding to the power outage address or the real-time power value of a certain power outage time point of the target incoming call corresponding to the power outage address is larger than the preset resident power consumption standard power value, judging that the power outage cause of the target incoming call corresponds to the power outage cause is personal, otherwise judging that the power outage cause is non-personal.
As a further improvement of the invention, the specific determining process of determining the power failure area corresponding to the target power failure is as follows: the specific determination process of the power failure fault area corresponding to the determination target power failure is as follows: b1, obtaining power supply total station information corresponding to a target power failure address according to a power grid power supply global three-dimensional model diagram stored in a power grid database, wherein the power supply total station information comprises additional power supply areas, extracting historical tripping times corresponding to each switch of the additional power supply areas according to historical information corresponding to each area stored in the power grid database, and recording the historical tripping times as TZ p P is the number corresponding to each switch, p=1, 2,..q, the current value and the voltage value of each switch of the power supply region corresponding to the power failure time period are respectively recorded as I p 、U p 。
B2, utilize the formula
Calculating a switch tripping evaluation coefficient beta corresponding to the other power supply region, wherein a1 and a2 respectively represent coefficient influence factors corresponding to tripping times and tripping currents, TZ represents preset switch tripping permission times, eta' represents a set allowable electric power value, the switch tripping evaluation coefficient corresponding to the other power supply region is compared with a set region normal switch evaluation coefficient, if the switch tripping evaluation coefficient corresponding to the other power supply region is smaller than the set region normal switch evaluation coefficient, the other power supply region is obtained to be normally powered, further, a power failure fault region corresponding to the target power failure is judged to be the other power supply region, and otherwise, the power failure fault region corresponding to the target power failure is judged to be the region to which the power failure address belongs.
As a further improvement of the invention, the fault type of the power failure fault area corresponding to the target power failure is analyzed, and the specific analysis process is as follows: d1, marking a power failure region corresponding to the target power failureSelecting target cable lines from all cable lines in a reference area as reference areas, dividing all cable line points by taking cable twisting pitches as intervals, monitoring audio signals of all cable line points of the target cable lines in the reference area by an audio signal generator arranged in the reference area, obtaining a signal fluctuation diagram of all cable line points of the target cable lines in the reference area, extracting fluctuation peak values of all cable line points of the target cable lines in the reference area, and marking the fluctuation peak values as H d D is denoted as the number corresponding to each cabling point, d=1, 2.
D2, and further using a calculation formula
Calculating signal fluctuation evaluation coefficient corresponding to target cable line in reference area>
H d-1 、H d+1 、H d-2 、H d+2 And the fluctuation peak values are respectively expressed as d-1, d+1, d-2 and d+2 cable line points, and the signal fluctuation evaluation coefficients corresponding to all cable lines in the reference area are calculated in the same way according to the calculation mode of the signal fluctuation evaluation coefficients corresponding to the target cable lines in the reference area.
And D3, comparing the signal fluctuation evaluation coefficients corresponding to the cable lines in the reference area with preset cable line standard signal fluctuation coefficients, and further obtaining the numbers corresponding to the fault line sections in the reference area.
As a further improvement of the present invention, the analyzing the fault type of the power failure fault area corresponding to the target power failure, the specific analyzing process further includes: the specific analysis process further comprises the steps of: c1, extracting corresponding fault line segments of the reference area from power equipment information corresponding to the cable line segments of each area stored in a power grid database according to corresponding numbers of the fault line segments of each reference areaThe power equipment information comprises the number and the corresponding historical maintenance information of each power equipment, wherein the historical maintenance information comprises the maintenance times and the corresponding maintenance time of each maintenance, and then the fault evaluation coefficient lambda of each fault line segment of the reference area corresponding to each power equipment is calculated by using a calculation formula gs G is indicated as a number corresponding to each fault line segment, g=1, 2,..z, s is indicated as a number corresponding to each power device, s=1, 2,..b.
And C2, comparing the fault evaluation coefficient of each power equipment corresponding to each fault line segment of the reference area with the set equipment fault reference coefficient, if the fault evaluation coefficient of a certain power equipment corresponding to a certain fault line segment of the reference area is larger than or equal to the equipment fault reference coefficient, judging that the fault power equipment corresponding to the fault line segment of the reference area is fault equipment, and marking the fault type corresponding to the reference area as machine fault, otherwise marking the fault type corresponding to the reference area as line fault.
As a further improvement of the invention, the dispatching corresponds to the maintenance personnel to carry out maintenance, and the specific analysis process is as follows: and E1, screening out a power maintenance station closest to the power failure fault area corresponding to the target power failure according to the power failure fault area corresponding to the target power failure, marking the power maintenance station closest to the power failure fault area corresponding to the target power failure as a reference maintenance station, and acquiring personnel information corresponding to the reference maintenance station, wherein the personnel information comprises reservation time periods corresponding to all personnel.
And E2, further analyzing to obtain the corresponding idle degree of each personnel in the current time period, and carrying out corresponding dispatch management according to the idle degree of each personnel in the current time period.
As a further improvement of the invention, the operation analysis is carried out on the corresponding user of the target incoming call, and the specific analysis process is as follows: f1, the current month electricity consumption amount psi of the power failure address corresponding to the target incoming call 1 Pre-stored amount psi of current month of power failure address corresponding to target incoming call 2 Comparing, if ψ 1 ＜ψ 2 Determining that the power failure cause of the power failure address corresponding to the target call is underAnd F2, calculating the charge reason, namely, the electricity charge to be paid by the power failure address corresponding to the target incoming call, feeding back the electricity charge to be paid by the power failure address corresponding to the target incoming call to the user corresponding to the target incoming call, and otherwise, executing the F2.
F2, comparing the real-time power value of each power failure time point of the power failure address corresponding to the target incoming call with a preset resident power consumption standard power value alpha, if alpha i And if the power failure is less than alpha, judging that the power failure reason of the target call corresponding to the power failure address is personal tripping reason, and timely arranging personnel for maintenance.
As a further improvement of the invention, the system also comprises a power grid database which is used for storing a power grid power supply global three-dimensional model diagram, historical information corresponding to each region, power consumption and pre-stored amount of electricity corresponding to each user address in the current month, power consumption and power consumption corresponding to each region in the current month, historical rush-repair time length corresponding to each type of fault, power equipment information corresponding to each cable section in each region and real-time current value and real-time voltage value corresponding to each address in each time point.
As described above, the customer service center fault pushing system based on the smart grid provided by the invention has at least the following beneficial effects: (1) According to the customer service center fault pushing system based on the smart grid, the power outage information is extracted according to the target power outage, the power outage fault area and the fault type corresponding to the target power outage are analyzed and obtained according to the power outage information corresponding to the target power outage, and further, according to the power supply station personnel information corresponding to the power outage area, the dispatching personnel are analyzed, maintained before the dispatching personnel are fed back to the user terminal, the problem that the current technology has certain limitation on power grid customer service fault pushing is effectively solved, the first time is finished by simultaneously completing the first time with the first time information and notifying a user, maintenance time is further shortened, service quality is improved, the task amount of monitoring and analyzing is reduced, and loss caused by further power outage is reduced.
(2) According to the embodiment of the invention, the power failure fault area is analyzed in detail, so that the accuracy and scientificity of an analysis result are improved to a certain extent, the possibility of damage to electric appliances is further reduced, the possibility of life paralysis of residents is further reduced, the economic loss of residents is avoided indirectly, and the social safety, stability and economic development are enhanced.
(3) According to the embodiment of the invention, the fault investigation is comprehensively carried out on the main line and the branch line of the power failure area, so that the inconsistency between the analyzed fault type and the actual fault type is avoided, the rush-repair time is further reduced, the influence on the daily life of residents is avoided to a certain extent, the damage to resident electrical appliances is avoided, and the life safety and property safety of the residents are further ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
The foregoing is merely illustrative of the principles of the invention, and various modifications, additions and substitutions for those skilled in the art will be apparent to those having ordinary skill in the art without departing from the principles of the invention or from the scope of the invention as defined in the accompanying claims.
Referring to fig. 1, a customer service center fault pushing system based on a smart grid includes an incoming call information acquisition module, an incoming call information analysis module, a power failure reason classification module, a fault area determination module, a fault reason analysis module, a power failure fault sending module, a personnel dispatch analysis module, a user payment analysis module, an information collection feedback module and a grid database.
The incoming call information analysis module is connected with the incoming call information acquisition module and the power failure reason classification module, the power failure reason classification module is connected with the fault area determination module and the user payment analysis module, the power failure fault sending module is connected with the fault reason analysis module and the personnel dispatch analysis module, the information collection feedback module is connected with the personnel dispatch analysis module and the user payment analysis module, and the power grid database is connected with the receipt information analysis module, the fault area determination module and the fault reason analysis module.
The incoming call information acquisition module is used for acquiring incoming call audio corresponding to the target incoming call and extracting power failure information corresponding to the target incoming call according to the incoming call audio corresponding to the target incoming call.
It should be further noted that the power outage information corresponding to the target incoming call includes a power outage address and a power outage time.
The incoming call information analysis module is used for carrying out primary analysis on the power failure of the target incoming call according to the power failure information corresponding to the target incoming call, and further analyzing and obtaining the power failure reason corresponding to the target incoming call, wherein the power failure reason is divided into personal reason and non-personal reason.
It should be further described that the analysis obtains the power failure reason corresponding to the target incoming call, and the specific analysis process is as follows: a1, extracting a power failure address corresponding to a target incoming call from the power failure information according to the power failure information corresponding to the target incoming call, calling the power consumption of the current month of the power failure address corresponding to the target incoming call according to the power consumption of the current month of each user address stored in a power grid database, and further calculating the power consumption of the current month of the power failure address corresponding to the target incoming call by using a calculation formula.
A2, extracting the power-off time corresponding to the target incoming call from the power-off information corresponding to the target incoming call, extracting the real-time current value and the real-time voltage value of each time point of the power-off address corresponding to the target incoming call according to the real-time current value and the real-time voltage value of each time point of each address corresponding to the power-off address stored in the power grid database, screening the real-time current value and the real-time voltage value of each power-off time point of the power-off address corresponding to the target incoming call in the power-off time period, and calculating the real-time power value alpha of each power-off time point of the power-off address corresponding to the target incoming call by using a multiplication formula i Wherein i represents the corresponding power outage time points in the power outage time periodNumber i=1, 2.
In a specific embodiment, the screening target incoming call corresponds to a power failure period, and the specific screening process is as follows: obtaining the power failure time corresponding to the target power failure, pushing the power failure time corresponding to the target power failure forward for one hour to obtain a new time point by taking the new time point as a starting point and the power failure time corresponding to the target power failure as a cut-off point, and further screening and obtaining the power failure time period corresponding to the target power failure.
And A3, calling the pre-stored amount of the current month of the target incoming call corresponding to the power outage address according to the pre-stored amount of the current month of each user address stored in the power grid database, comparing the power consumption amount of the current month of the target incoming call corresponding to the power outage address with the pre-stored amount of the current month of the target incoming call corresponding to the power outage address, simultaneously comparing the real-time power value of each power outage time point of the target incoming call corresponding to the power outage address with a preset resident power consumption standard power value, and if the power consumption amount of the current month of the target incoming call corresponding to the power outage address is larger than the pre-stored amount of the current month of the target incoming call corresponding to the power outage address or the real-time power value of a certain power outage time point of the target incoming call corresponding to the power outage address is larger than the preset resident power consumption standard power value, judging that the power outage cause of the target incoming call corresponds to the power outage cause is personal, otherwise judging that the power outage cause is non-personal.
The power failure reason classifying module is used for executing the fault position determining module if the power failure reason is identified to be a non-personal reason according to the power failure reason corresponding to the target incoming call, and executing the user payment analyzing module if the power failure reason is not the personal reason.
The fault position determining module is used for determining a power failure fault area corresponding to the target power failure according to the power failure information corresponding to the target power failure.
It should be further noted that, the specific determining process is as follows: the specific determination process of the power failure fault area corresponding to the determination target power failure is as follows: b1, obtaining power supply total station information corresponding to a target power failure address according to a power grid power supply global three-dimensional model diagram stored in a power grid databaseWherein the power supply total station information comprises other power supply areas, and the historical tripping times corresponding to the switches corresponding to the other power supply areas are extracted from the historical information corresponding to the areas stored in the power grid database and are recorded as TZ p P is the number corresponding to each switch, p=1, 2,..q, the current value and the voltage value of each switch of the power supply region corresponding to the power failure time period are respectively recorded as I p 、U p 。
B2, utilize the formula
Calculating a switch tripping evaluation coefficient beta corresponding to the other power supply region, wherein a1 and a2 respectively represent coefficient influence factors corresponding to tripping times and tripping currents, TZ represents preset switch tripping permission times, eta' represents a set allowable electric power value, the switch tripping evaluation coefficient corresponding to the other power supply region is compared with a set region normal switch evaluation coefficient, if the switch tripping evaluation coefficient corresponding to the other power supply region is smaller than the set region normal switch evaluation coefficient, the other power supply region is obtained to be normally powered, further, a power failure fault region corresponding to the target power failure is judged to be the other power supply region, and otherwise, the power failure fault region corresponding to the target power failure is judged to be the region to which the power failure address belongs.
According to the embodiment of the invention, the power failure fault area is analyzed in detail, so that the accuracy and scientificity of an analysis result are improved to a certain extent, the possibility of damage to electric appliances is further reduced, the possibility of life paralysis of residents is further reduced, the economic loss of residents is avoided indirectly, and the social safety, stability and economic development are enhanced.
The fault cause analysis module is used for analyzing the fault type of the power failure fault area corresponding to the target power failure according to the power failure fault area corresponding to the target power failure.
It should be further noted that the fault type of the power failure corresponding to the power failure fault regionThe analysis is carried out, and the specific analysis process is as follows: d1, marking a power failure fault area corresponding to a target power failure as a reference area, selecting target cable lines from all cable lines in the reference area, dividing all cable line points by taking cable twisting pitches as intervals, monitoring audio signals of all cable line points of the target cable lines in the reference area by an audio signal generator arranged in the reference area, further obtaining a signal wave diagram of all cable line points of the target cable lines in the reference area, extracting fluctuation peak values of all cable line points of the target cable lines in the reference area, and marking the fluctuation peak values as H d D is denoted as the number corresponding to each cabling point, d=1, 2.
D2, and further using a calculation formula
Calculating signal fluctuation evaluation coefficient corresponding to target cable line in reference area>
H d-1 、H d+1 、H d-2 、H d+2 And the fluctuation peak values are respectively expressed as d-1, d+1, d-2 and d+2 cable line points, and the signal fluctuation evaluation coefficients corresponding to all cable lines in the reference area are calculated in the same way according to the calculation mode of the signal fluctuation evaluation coefficients corresponding to the target cable lines in the reference area.
And D3, comparing the signal fluctuation evaluation coefficients corresponding to the cable lines in the reference area with preset cable line standard signal fluctuation coefficients, and further obtaining the numbers corresponding to the fault line sections in the reference area.
It should be further noted that the analyzing the fault type of the power failure fault area corresponding to the target power failure specifically includes: the specific analysis process further comprises the steps of: c1, according to the corresponding number of each fault line section of the reference area, and further according to each electricity of each area stored in the power grid databaseExtracting power equipment information corresponding to each fault line segment of a reference area from power equipment information corresponding to a cable segment, wherein the power equipment information comprises the number and historical maintenance information corresponding to each power equipment, the historical maintenance information comprises the maintenance times and the maintenance time corresponding to each maintenance, and further calculating a fault evaluation coefficient lambda of each power equipment corresponding to each fault line segment of the reference area by using a calculation formula gs G is indicated as a number corresponding to each fault line segment, g=1, 2,..z, s is indicated as a number corresponding to each power device, s=1, 2,..b.
In a specific embodiment, a fault evaluation coefficient lambda of each faulty line segment of the reference area corresponding to each power device is calculated gs The specific calculation process is as follows: k1, screening the maintenance time corresponding to each maintenance of each power equipment in each fault line section of the reference area from the maintenance time corresponding to each maintenance of each power equipment in each fault line section of the reference area, and marking the maintenance date corresponding to the latest maintenance of each power equipment in each fault line section of the reference area as t gs 。
K2、
Wherein h1 and h2 are respectively expressed as set maintenance times and influence factors corresponding to the maintenance time, CS gs Denoted as the number of repairs corresponding to the s-th power equipment of the g-th fault line section of the reference area, CS 'denoted as the set maximum number of permitted repairs for the equipment, Δt denoted as the set permitted date difference, and t' denoted as the current date.
And C2, comparing the fault evaluation coefficient of each power equipment corresponding to each fault line segment of the reference area with the set equipment fault reference coefficient, if the fault evaluation coefficient of a certain power equipment corresponding to a certain fault line segment of the reference area is larger than or equal to the equipment fault reference coefficient, judging that the fault power equipment corresponding to the fault line segment of the reference area is fault equipment, and marking the fault type corresponding to the reference area as machine fault, otherwise marking the fault type corresponding to the reference area as line fault.
According to the embodiment of the invention, the fault investigation is comprehensively carried out on the main line and the branch line of the power failure area, so that the inconsistency between the analyzed fault type and the actual fault type is avoided, the rush-repair time is further reduced, the influence on the daily life of residents is avoided to a certain extent, the damage to resident electrical appliances is avoided, and the life safety and property safety of the residents are further ensured.
The power failure fault analysis module is used for analyzing and obtaining the predicted maintenance duration of the fault type corresponding to the target power failure according to the fault type of the fault area corresponding to the target power failure.
In a specific embodiment, the predicted maintenance duration of the fault type corresponding to the target power outage is obtained through analysis, and the specific analysis process is as follows: according to each historical rush-repair time length corresponding to each type of fault stored in the power grid database, each historical rush-repair time length corresponding to the fault type of the power failure fault area corresponding to the target power failure is extracted from the historical rush-repair time lengths, and a calculation formula is utilized
Calculating the expected maintenance time T of the fault type corresponding to the target power failure 1 Wherein T is 1 w The historical maintenance duration corresponding to the fault type is represented by w, the number corresponding to each historical rush repair of the fault type is represented by w, w=1, 2.
The personnel dispatch analysis module is used for extracting the personnel information of the power supply station corresponding to the power failure area of the target power failure from the power grid database, and further dispatching corresponding maintenance personnel for maintenance.
It should be further noted that, the dispatching corresponds to the maintenance personnel going to maintain, and the specific analysis process is as follows: and E1, screening out a power maintenance station closest to the power failure fault area corresponding to the target power failure according to the power failure fault area corresponding to the target power failure, marking the power maintenance station closest to the power failure fault area corresponding to the target power failure as a reference maintenance station, and acquiring personnel information corresponding to the reference maintenance station, wherein the personnel information comprises reservation time periods corresponding to all personnel.
And E2, further analyzing to obtain the corresponding idle degree of each personnel in the current time period, and carrying out corresponding dispatch management according to the idle degree of each personnel in the current time period.
In a specific embodiment, the analysis obtains the corresponding idle degree of each person in the current time period, and the specific analysis process is as follows: comparing the reserved time period corresponding to each person corresponding to the reference maintenance station with the current time period, if the reserved time period corresponding to a person is inconsistent with the current time period, marking the idle degree corresponding to the current time period of the person as sigma', otherwise marking the idle degree corresponding to the current time period of the person as sigma ", and obtaining the idle degree sigma corresponding to the current time period of each person r R is denoted as the number corresponding to each person, r=1, 2,.. r The value is sigma ' or sigma ', and sigma '>σ″。
In a specific embodiment, the dispatching the corresponding maintenance personnel to carry out maintenance further comprises: and Y1, substituting the power failure fault area corresponding to the reference maintenance station and the target power failure into a map, further obtaining the distance between the reference maintenance station and the power failure fault area corresponding to the target power failure, and marking the distance as L.
Y2, comparing and analyzing the field fault type with the fault type of the power failure fault area corresponding to the target power failure according to the field fault type corresponding to the maintenance personnel, if the field fault type is inconsistent with the fault type comparison of the power failure fault area corresponding to the target power failure, extracting each historical rush-repair time length corresponding to the field fault type from each historical rush-repair time length corresponding to each type of fault stored in the power grid database, and recording the time length as each historical rush-repair time length corresponding to the field fault type
Then the calculation formula is utilized
Calculating the expected rush-repair duration zeta, and pushing the expected rush-repair duration zeta to a user, wherein v is expressed as a preset personnel walking speed.
And the user payment analysis module is used for carrying out operation analysis on the corresponding user of the target incoming call according to the power failure information corresponding to the target incoming call.
It should be further noted that, the operation analysis is performed on the corresponding user of the target incoming call, and the specific analysis process is as follows: and F1, comparing the electricity consumption amount of the current month of the target incoming call corresponding to the power outage address with the pre-stored amount of the current month of the target incoming call corresponding to the power outage address, judging that the power outage reason of the target incoming call corresponding to the power outage address is due to the arrearage if the electricity consumption amount of the current month of the target incoming call corresponding to the power outage address is smaller than the pre-stored amount of the current month of the target incoming call corresponding to the power outage address, calculating to obtain the electricity charge to be paid by the target incoming call corresponding to the power outage address by utilizing a subtraction formula, and feeding the electricity charge to be paid by the target incoming call corresponding to the power outage address to a user corresponding to the target incoming call, otherwise, executing F2.
And F2, comparing the real-time power value of each power failure time point of the target incoming call corresponding to the power failure address with a preset resident power consumption standard power value, if the real-time power value of a certain power failure time point of the target incoming call corresponding to the power failure address is larger than the preset resident power consumption standard power value, judging that the power failure reason of the target incoming call corresponding to the power failure address is personal trip reason, and timely reserving and arranging corresponding maintenance personnel to carry out door-on maintenance.
The information collection feedback module is used for feeding back to a user corresponding to the target incoming call in time according to the power failure fault area, the fault type and the predicted maintenance duration corresponding to the fault type corresponding to the target power failure.
According to the embodiment of the invention, the first repair information and the notification to the user are completed at the same time in the first time, so that the maintenance time is reduced, the service quality is improved, the task amount of monitoring and analysis is reduced, and the loss caused by further power failure is reduced.
It should be further described that the system further includes a power grid database, which is used for storing a power grid power supply global three-dimensional model diagram, historical information corresponding to each region, power consumption and pre-stored amount of electricity corresponding to each user address and current month, and also used for storing power consumption and power consumption corresponding to each region, each time of historical rush-repair duration corresponding to each type of fault, power equipment information corresponding to each cable section of each region, and real-time current value and real-time voltage value corresponding to each address and each time point.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.
Claims (9)
1. A customer service center fault pushing system based on a smart grid is characterized in that:
the incoming call information acquisition module is used for acquiring incoming call audio corresponding to the target incoming call and extracting power failure information corresponding to the target incoming call according to the incoming call audio corresponding to the target incoming call;
the incoming call information analysis module is used for carrying out primary power failure analysis on the target incoming call according to the power failure information corresponding to the target incoming call, and further analyzing and obtaining power failure reasons corresponding to the target incoming call, wherein the power failure reasons are divided into personal reasons and non-personal reasons;
the power failure reason classification module is used for executing the fault position determination module if the power failure reason is identified to be a non-personal reason according to the power failure reason corresponding to the target incoming call, and executing the user payment analysis module if the power failure reason is not the personal reason;
the fault position determining module is used for determining a power failure fault area corresponding to the target power failure according to the power failure information corresponding to the target power failure;
the fault cause analysis module is used for analyzing the fault type of the power failure fault area corresponding to the target power failure according to the power failure fault area corresponding to the target power failure;
the power failure fault analysis module is used for analyzing and obtaining the predicted maintenance duration of the fault type corresponding to the target power failure according to the fault type of the fault area corresponding to the target power failure;
the personnel dispatch analysis module is used for extracting the personnel information of the power supply station corresponding to the power failure area from the power grid database, and further dispatching corresponding maintenance personnel for maintenance;
the user payment analysis module is used for carrying out operation analysis on the corresponding user of the target incoming call according to the power failure information corresponding to the target incoming call;
the information collection feedback module is used for feeding back the power failure fault region corresponding to the target power failure, the fault type and the predicted maintenance duration corresponding to the fault type to the user corresponding to the target incoming call in time.
2. The smart grid-based customer service center fault pushing system as set forth in claim 1, wherein: the power failure information corresponding to the target incoming call comprises a power failure address and power failure time.
3. The smart grid-based customer service center fault pushing system as claimed in claim 2, wherein: the analysis obtains the power failure reason corresponding to the target incoming call, and the specific analysis process is as follows:
a1, extracting a power failure address corresponding to a target incoming call from the power failure information according to the power failure information corresponding to the target incoming call, and calling the power consumption of the current month of the power failure address corresponding to the target incoming call according to the power consumption of the current month of each user address stored in a power grid database, so as to calculate the power consumption of the current month of the power failure address corresponding to the target incoming call by using a calculation formula;
a2, extracting the power-off time corresponding to the target incoming call from the power-off information corresponding to the target incoming call, extracting the real-time current value and the real-time voltage value of each time point of the power-off address corresponding to the target incoming call according to the real-time current value and the real-time voltage value of each time point of each address corresponding to the power-off address stored in the power grid database, screening the real-time current value and the real-time voltage value of each power-off time point of the power-off address corresponding to the target incoming call in the power-off time period, and calculating the real-time power value alpha of each power-off time point of the power-off address corresponding to the target incoming call by using a multiplication formula i Wherein i represents a number corresponding to each power outage time point in the power outage time period, i=1, 2.
And A3, calling the pre-stored amount of the current month of the target incoming call corresponding to the power outage address according to the pre-stored amount of the current month of each user address stored in the power grid database, comparing the power consumption amount of the current month of the target incoming call corresponding to the power outage address with the pre-stored amount of the current month of the target incoming call corresponding to the power outage address, simultaneously comparing the real-time power value of each power outage time point of the target incoming call corresponding to the power outage address with a preset resident power consumption standard power value, and if the power consumption amount of the current month of the target incoming call corresponding to the power outage address is larger than the pre-stored amount of the current month of the target incoming call corresponding to the power outage address or the real-time power value of a certain power outage time point of the target incoming call corresponding to the power outage address is larger than the preset resident power consumption standard power value, judging that the power outage cause of the target incoming call corresponds to the power outage cause is personal, otherwise judging that the power outage cause is non-personal.
4. The smart grid-based customer service center fault pushing system as set forth in claim 1, wherein: the specific determination process of the power failure fault area corresponding to the determination target power failure is as follows:
b1, obtaining power supply total station information corresponding to a target power failure address according to a power grid power supply global three-dimensional model diagram stored in a power grid database, wherein the power supply total station information comprises additional power supply areas, extracting historical tripping times corresponding to each switch of the additional power supply areas according to historical information corresponding to each area stored in the power grid database, and recording the historical tripping times as TZ p P is the number corresponding to each switch, p=1, 2,..q, the current value and the voltage value of each switch of the power supply region corresponding to the power failure time period are respectively recorded as I p 、U p ；
B2, utilize the formula
Calculating a switch tripping evaluation coefficient beta corresponding to the other power supply area, wherein a1 and a2 respectively represent coefficient influence factors corresponding to the tripping times and the tripping currents, and TZ is represented as a preset openingAnd when the switch tripping evaluation coefficient corresponding to the other power supply area is smaller than the set area normal switch evaluation coefficient, the other power supply area is obtained to be normally powered, and then the power failure fault area corresponding to the target power failure is judged to be the other power supply area, and otherwise, the power failure fault area corresponding to the target power failure is judged to be the area to which the power failure address belongs.
5. The smart grid-based customer service center fault pushing system as set forth in claim 1, wherein: the fault type of the power failure fault area corresponding to the target power failure is analyzed, and the specific analysis process is as follows:
d1, marking a power failure fault area corresponding to a target power failure as a reference area, selecting target cable lines from all cable lines in the reference area, dividing all cable line points by taking cable twisting pitches as intervals, monitoring audio signals of all cable line points of the target cable lines in the reference area by an audio signal generator arranged in the reference area, further obtaining a signal wave diagram of all cable line points of the target cable lines in the reference area, extracting fluctuation peak values of all cable line points of the target cable lines in the reference area, and marking the fluctuation peak values as H d D is denoted as the number corresponding to each cabling point, d=1, 2.
D2, and further using a calculation formula
Calculating signal fluctuation evaluation coefficient corresponding to target cable line in reference area>
H d-1 、H d+1 、H d-2 、H d+2 Peak fluctuation values respectively expressed as d-1, d+1, d-2, d+2 cable route pointsAnd the signal fluctuation evaluation coefficients corresponding to all the cable lines in the reference area are calculated in a similar way according to the calculation mode of the signal fluctuation evaluation coefficients corresponding to the target cable lines in the reference area;
and D3, comparing the signal fluctuation evaluation coefficients corresponding to the cable lines in the reference area with preset cable line standard signal fluctuation coefficients, and further obtaining the numbers corresponding to the fault line sections in the reference area.
6. The smart grid-based customer service center fault pushing system as set forth in claim 5, wherein: the specific analysis process further comprises the steps of:
c1, according to the numbers corresponding to the fault line sections of the reference area, further extracting power equipment information corresponding to the fault line sections of the reference area from power equipment information corresponding to the cable line sections of the areas stored in a power grid database, wherein the power equipment information comprises the number and historical maintenance information corresponding to the power equipment, the historical maintenance information comprises the maintenance times and the maintenance time corresponding to each maintenance, and further calculating a fault evaluation coefficient lambda of each power equipment corresponding to each fault line section of the reference area by using a calculation formula gs G is denoted as the number corresponding to each fault line segment, g=1, 2,..z, s is denoted as the number corresponding to each power device, s=1, 2,..b;
and C2, comparing the fault evaluation coefficient of each power equipment corresponding to each fault line segment of the reference area with the set equipment fault reference coefficient, judging that the fault power equipment corresponding to the fault line segment of the reference area is fault equipment if the fault evaluation coefficient of the fault line segment of the reference area corresponding to the power equipment is greater than or equal to the equipment fault reference coefficient, marking the fault type corresponding to the reference area as machine fault, and otherwise marking the fault type corresponding to the reference area as line fault.
7. The smart grid-based customer service center fault pushing system as set forth in claim 6, wherein: the corresponding maintenance personnel are dispatched to be maintained, and the specific analysis process is as follows:
e1, screening and obtaining a power maintenance station closest to a power failure fault area corresponding to the target power failure according to the power failure fault area corresponding to the target power failure, marking the power maintenance station closest to the power failure fault area corresponding to the target power failure as a reference maintenance station, and acquiring personnel information corresponding to the reference maintenance station, wherein the personnel information comprises reservation time periods corresponding to all personnel;
and E2, further analyzing to obtain the corresponding idle degree of each personnel in the current time period, and carrying out corresponding dispatch management according to the idle degree of each personnel in the current time period.
8. The smart grid-based customer service center fault pushing system as set forth in claim 1, wherein: the operation analysis is carried out on the corresponding user of the target incoming call, and the specific analysis process is as follows:
f1, the current month electricity consumption amount psi of the power failure address corresponding to the target incoming call 1 Pre-stored amount psi of current month of power failure address corresponding to target incoming call 2 Comparing, if ψ 1 ＜ψ 2 Judging the power failure cause of the power failure address corresponding to the target incoming call to account for the arrearage reason, calculating to obtain the power fee to be paid by the power failure address corresponding to the target incoming call, feeding back the power fee to the user corresponding to the target incoming call, and executing F2 otherwise;
f2, comparing the real-time power value of each power failure time point of the power failure address corresponding to the target incoming call with a preset resident power consumption standard power value alpha, if alpha i And if the power failure is less than alpha, judging that the power failure reason of the target call corresponding to the power failure address is personal tripping reason, and timely arranging personnel for maintenance.
9. The smart grid-based customer service center fault pushing system as set forth in claim 1, wherein: the system also comprises a power grid database, a power grid power supply global three-dimensional model graph, historical information corresponding to each region, power consumption and pre-stored amount of money corresponding to the current month of each user address, power consumption and power consumption corresponding to the current month of each region, historical rush-repair time length corresponding to each type of fault, power equipment information corresponding to each cable section of each region, and real-time current value and real-time voltage value corresponding to each time point of each address.
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| CN117913797A (en) * | 2023-12-26 | 2024-04-19 | 淮北矿业股份有限公司涡北选煤厂 | Power outage and transmission management system based on smart power grids |
| CN117913797B (en) * | 2023-12-26 | 2024-07-02 | 淮北矿业股份有限公司涡北选煤厂 | Power outage and transmission management system based on smart power grids |
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| CN117913797A (en) * | 2023-12-26 | 2024-04-19 | 淮北矿业股份有限公司涡北选煤厂 | Power outage and transmission management system based on smart power grids |
| CN117913797B (en) * | 2023-12-26 | 2024-07-02 | 淮北矿业股份有限公司涡北选煤厂 | Power outage and transmission management system based on smart power grids |
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