CN114049237A - Intelligent method and device for automatically auditing and optimizing power failure list - Google Patents
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Abstract
The invention provides an intelligent method and device for automatically auditing and optimizing a power failure list, and belongs to the technical field of power dispatching. The method comprises the steps of comparing power failure data of a power failure application form with power failure data derived by a reliability platform by utilizing a developed intelligent platform, so as to judge whether the power failure application form passes or not, and further adding an optimization suggestion to the returned power failure application form, so that the power failure application form is more intelligently processed. According to the method, the automatic auditing of the power failure application form is realized by using the intelligent platform, and the high-efficiency and accurate auditing can be realized according to the method, so that the problems of low processing speed, untimely result auditing and analysis and insufficient accuracy of corresponding optimization measures caused by manual auditing and analysis of the power failure form at present are solved.
Description
Technical Field
The invention belongs to the technical field of power dispatching, and particularly relates to an intelligent method and device for automatically auditing and optimizing a power failure list.
Background
In a power grid system, the power supply reliability is the capability of a power supply system to safely, stably and continuously provide electric energy service, and is also an important assessment standard for the operation quality, the service level and the customer satisfaction degree of the power supply system. The following criteria are generally used to evaluate the reliability of the power supply of an electric power enterprise: the power failure time of the client, the power failure time of the user, the power failure times, the proportion of the repeated power failure users and the like.
And 3, enhancing power supply reliability index management and control, and enhancing planned power failure management by improving comprehensive power failure management and control strength. And auditing and optimizing the power failure list are key links. The existing power failure list auditing management adopts a manual auditing optimization mode, firstly, an operation and maintenance team member responsible person initiates a power failure list at a power grid management platform comprehensive power failure management module, then, the power failure list is sent to a production planning department for reliability responsibility auditing, and the reliability responsibility carries out auditing, comparison and analysis on the power failure list, and the specific method comprises the following steps: firstly, a comprehensive power failure management module of a power grid management platform inquires data such as the number of users during power failure of a customer, the number of users during power failure of the customer, and the specification of medium-voltage users related to power failure. And then, manually calculating the customer power failure time value and the user power failure time value which are generated if the power failure list is implemented.
And then inquiring data such as accumulated customer power failure time value, medium-voltage customer event details related to power failure and the like in the whole region from the power supply reliability system. And setting a formula for the medium-voltage user event details related to power failure by using an EXCEL table, and counting a medium-voltage user accumulated power failure frequency detail table related to power failure and a repeated power failure user proportion.
Finally, the power supply reliability is specially responsible for comparing the data, and whether the numerical value of the power failure time of the client (user), the power failure times, the proportion of the repeated power failure users and the like generated after the execution of the power failure list exceed the annual index control range is judged. And if the annual index control range is not exceeded, the power failure list is approved. If the annual index control range is exceeded, a targeted power failure optimization measure is provided, then the power failure list is returned and feedback opinions are attached, and the operation and maintenance team applicant is required to optimize the power failure strategy again.
The above is the whole process of manually checking the power failure list, and although the method and thought of manual checking at the present stage are mature, the index data derived from the power failure event brings complicated workload and challenges to the reliability management personnel in terms of processing and analysis. Obviously, the manual analysis processing speed is slow, the result is not checked and analyzed timely, and the corresponding optimization measures are not accurate enough. Therefore, a method for automatically auditing and analyzing the power failure list is urgently needed, so that index data items derived from the power failure list can be intelligently calculated, and an analysis result and an optimization measure can be timely fed back to a power failure applicant.
Disclosure of Invention
In view of the above, the invention aims to solve the problems of low processing speed, untimely result auditing and analyzing and inaccurate corresponding optimization measures caused by manual auditing and analyzing of the power failure list in the prior art.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the invention provides an intelligent method for automatically auditing and optimizing a power failure list, which is applied to an intelligent platform and comprises the following steps:
judging whether a power failure application form exists or not, if not, returning to judge again, if so, reading the annual index and important users, exporting the reliability platform data and then executing the subsequent steps;
judging whether first power failure data generated based on the power failure application form and the reliability platform data exceed an annual index or not, if not, agreeing to approve the power failure application form and transmitting the power failure application form to a superior level, simultaneously notifying by a short message, and if so, rejecting repeated power failure users and important users to recalculate the power failure data, and executing subsequent steps after obtaining second power failure data;
judging whether the second power failure data exceeds the annual index, if not, returning after adding an optimization suggestion to the power failure request form, notifying by a short message, if so, positioning a line section where repeated power failure users and important users are located in the GIS, removing the positioned line section, recalculating the power failure data, and continuing to execute the subsequent steps after obtaining third power failure data;
judging whether the third power failure data exceeds the annual index, if not, returning after adding an optimization suggestion to the power failure application form, and notifying by a short message, if so, exporting the number of the users of each line section in the GIS system, removing part of the line sections according to the transferable power supply priority order, recalculating the power failure data, and executing the subsequent steps after obtaining the fourth power failure data;
and judging whether the fourth power failure data exceeds the annual index, if not, returning after adding an optimization suggestion to the power failure application form, and notifying by a short message, and if so, returning the power failure application form and notifying by a short message.
Further, the step of judging whether the first power outage data generated based on the power outage request form and the reliability platform data exceeds the annual index specifically includes:
adding the client power failure time value and the user power failure time value which are calculated according to the power failure application form, the client power failure time value which is obtained by the reliability platform data and has power failure and the user power failure time value to obtain a first client power failure time value and a first user power failure time value;
the user details related to power failure in the power failure application form and the user details with power failure in the reliability platform data are subjected to agreement, and users with repeated power failure not less than 2 times and the corresponding repeated power failure user proportion are obtained;
and judging whether first power failure data generated by the first client power failure time value, the first user power failure time value, the users with repeated power failure not less than 2 times and the corresponding repeated power failure user proportion exceeds the annual index of the unit where the power failure application form initiator is located.
Further, rejecting repeated power failure users and important users to recalculate power failure data, and obtaining second power failure data specifically comprises:
users and important users with repeated power failure not less than 2 times are removed from the power failure user list of the power failure application form, the client power failure time value and the user power failure time value corresponding to the removed power failure application form are calculated, and the removed repeated power failure users and important users are recorded;
respectively subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the power failure application form after the removal, so as to obtain a second client power failure time value and a second user power failure time value;
and obtaining second power failure data based on the second customer power failure time value and the second user power failure time value.
Further, the line section where the repeated power failure user and the important user are located is located in the GIS, the power failure data is recalculated after the located partial line section is removed, and the obtaining of the third power failure data specifically comprises the following steps:
positioning a line section where a repeated power failure user and an important user are located in a GIS (geographic information system) according to a power failure request sheet, the repeated power failure user and the important user;
the positioned line sections are subjected to priority sequencing, then are accumulated one by one, corresponding power failure data are calculated at the same time, accumulation is stopped until the calculated power failure data after accumulation is larger than second power failure data, the accumulated line sections are used as first line sections needing to be removed, the first line sections and the priority sequencing thereof are recorded, and corresponding client power failure time values and user power failure time values are calculated;
subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the first line section to obtain a third client power failure time value and a third user power failure time value;
and obtaining third power failure data based on the third customer power failure time value and the third user power failure time value.
Furthermore, exporting the number of users of each line section in the GIS system, recalculating the power failure data after removing part of the line sections according to the transferable power supply priority sequence, and obtaining the fourth power failure data specifically comprises:
positioning a power failure line according to a power failure application form in a GIS (geographic information system), deriving the number of customers and the number of users of each line section, accumulating the power failure data one by one after priority ranking of each line section, and calculating corresponding power failure data at the same time until the power failure data calculated after accumulation is greater than third power failure data, stopping accumulation, taking the accumulated line section as a second line section needing to be eliminated, recording the second line section and priority ranking thereof, and calculating corresponding customer power failure time value and user power failure time value;
subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the second line section to obtain a fourth client power failure time value and a fourth user power failure time value;
and obtaining fourth power failure data based on the fourth client power failure time value and the fourth user power failure time value.
In a second aspect, the present invention provides an intelligent device for automatically auditing and optimizing a blackout ticket, including:
the first judgment module is used for judging whether a power failure application form exists or not, if not, returning to judge again, if yes, reading the annual index and the important user, exporting the reliability platform data and then executing the subsequent steps;
the second judgment module is used for judging whether the first power failure data generated based on the power failure application form and the reliability platform data exceeds an annual index or not, if not, the first power failure data agrees to approve the power failure application form and is transmitted to the superior, meanwhile, short message notification is carried out, if yes, repeated power failure users and important users are removed, the power failure data are recalculated, and the subsequent steps are executed after the second power failure data are obtained;
the third judgment module is used for judging whether the second power failure data exceeds the annual index, if not, returning after adding an optimization suggestion to the power failure application form, and notifying by a short message, if so, positioning a line section where a repeated power failure user and an important user are located in the GIS, recalculating the power failure data after removing the positioned partial line section, and continuing to execute the subsequent steps after obtaining the third power failure data;
the fourth judgment module is used for judging whether the third power failure data exceeds the annual index, if not, returning after adding an optimization suggestion to the power failure application form, and notifying by a short message, if so, exporting the number of users of each line section in the GIS system, and recalculating the power failure data after removing part of the line sections according to the rotatable power supply priority order, and executing the subsequent steps after obtaining the fourth power failure data;
and the fifth judgment module is used for judging whether the fourth power failure data exceeds the annual index, if not, returning the power failure application form after adding the optimization suggestion, and notifying the power failure application form by a short message, and if so, returning the power failure application form and notifying the power failure application form by a short message.
Further, the second determining module includes: a first electricity consumption data judgment module;
the first power data judgment module is used for adding a client power failure time value and a user power failure time value which are calculated according to the power failure request form, the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure to obtain a first client power failure time value and a first user power failure time value;
the system is also used for solving the user details related to power failure in the power failure application form and the user details with power failure in the reliability platform data to obtain users with repeated power failure not less than 2 times and the corresponding proportion of users with repeated power failure;
and the system is also used for judging whether the first power failure data generated by the first client power failure time value, the first user power failure time value, the users with repeated power failure not less than 2 times and the corresponding proportion of the users with repeated power failure exceed the annual index of the unit where the power failure application form initiator is located.
Further, the second determining module further includes: a second electrical data generation module;
the second electrical data generation module is used for eliminating users and important users with repeated power failure not less than 2 times from the power failure user list of the power failure application form, calculating a client power failure time value and a user power failure time value corresponding to the eliminated power failure application form, and recording the eliminated repeated power failure users and important users;
the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure are respectively subtracted from the client power failure time value and the user power failure time value which correspond to the power failure application form after being removed, so that a second client power failure time value and a second user power failure time value are obtained;
and the second power failure data is obtained based on the second customer power failure time value and the second user power failure time value.
Further, the third determining module includes: a third electrical data generation module;
the third electric data generation module is used for positioning line sections where the repeated power failure users and the important users are located in the GIS according to the power failure request list, the repeated power failure users and the important users;
the system is also used for accumulating the positioned line sections one by one after carrying out priority sequencing and simultaneously calculating corresponding power failure data, stopping accumulation until the calculated power failure data after accumulation is larger than second power failure data, taking the accumulated line sections as a first line section needing to be eliminated, recording the first line section and the priority sequencing thereof, and calculating corresponding client power failure time values and user power failure time values;
the system is also used for subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the first line section to obtain a third client power failure time value and a third user power failure time value;
and the third power failure data is obtained based on the power failure time value of the third client and the power failure time value of the third user.
Further, the fourth determining module includes: a fourth electricity consumption data generation module;
the fourth power consumption data generation module is used for positioning a power failure line in the GIS according to the power failure application form, deriving the number of customers and the number of users of each line section, accumulating the power failure data one by one after priority sorting of each line section, and calculating the corresponding power failure data at the same time until the power failure data calculated after accumulation is larger than the third power failure data, stopping accumulation, taking the accumulated line section as a second line section needing to be eliminated, recording the second line section and priority sorting thereof, and calculating the corresponding customer power failure time value and the corresponding user power failure time value;
the system is also used for subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the second line section to obtain a fourth client power failure time value and a fourth user power failure time value;
and the fourth power failure data is obtained based on the fourth customer power failure time value and the fourth user power failure time value.
In summary, the invention provides an intelligent method and an intelligent device for automatically auditing and optimizing a power failure request form, which comprises the steps of comparing power failure data of a power failure request form with power failure data derived by a reliability platform by using a developed intelligent platform, so as to judge whether the power failure request form passes or not, and further adding an optimization suggestion to a returned power failure request form, so that the processing of the power failure request form is more intelligent. According to the method, the automatic auditing of the power failure application form is realized by using the intelligent platform, and the high-efficiency and accurate auditing can be realized according to the method, so that the problems of low processing speed, untimely result auditing and analysis and insufficient accuracy of corresponding optimization measures caused by manual auditing and analysis of the power failure form at present are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art 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 for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of an intelligent method for automatically auditing and optimizing a blackout ticket according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides an intelligent method and device for automatically auditing and optimizing a power failure list, which are used for solving the problems of low processing speed, untimely result auditing and analyzing and inaccurate corresponding optimizing measures caused by manual auditing and analyzing the power failure list at present.
The following is a detailed description of an embodiment of an intelligent method for automatically auditing and optimizing blackout tickets according to the present invention.
Referring to fig. 1, the embodiment provides an intelligent method for automatically auditing and optimizing a blackout ticket, which is applied to an intelligent platform and includes the following steps:
s1: and judging whether a power failure application form exists, if so, entering the step S2, and otherwise, judging again.
It should be noted that the intelligent platform is a set of process software developed based on the existing computer programming language (e.g., phython), and can be used to implement automation of the process.
The power supply reliability responsibility is set in advance that the intelligent platform is started every day, the intelligent platform automatically uses a responsibility account number, inquires a power failure order received on the day in a comprehensive power failure management module of the power grid management platform, records the power failure order number, an initiator unit and a power failure line name ID, inquires data such as the number of users during power failure of a client, the number of users during power failure of the user, user details related to power failure and the like generated by the power failure order, automatically calculates the value of the power failure time of the client and the value of the power failure time of the user, and enters S2 after the step 1 is formed; if the power failure order is not received, after 1 minute, re-inquiry is carried out until the power failure order is generated.
S2: and reading the annual index and the important user, and exporting the reliability platform data.
It should be noted that the year index, the important user list and the reliability platform data are read; and the robot reads an annual index record table and an important user list which are arranged in the fixed folder in advance and are responsible according to the current date. And then, automatically logging in a reliability platform by using a special account, inquiring the accumulated customer power failure time value, the user power failure time value and the user event detail data related to power failure in the fact in the whole area, forming a record of the step 2, and then performing the step S3.
S3: and judging whether the power failure list exceeds the index, if not, entering the step S4, and if so, entering the step S5.
Judging whether the power failure list exceeds an annual index or not, and adding the client power failure time value and the user power failure time value in the step 1 record and the step 2 record; then, the user details concerning the power failure in the record 1 and the power failure user details that have occurred in the record 2 are identified, and the identified part is "the user having repeated power failure 2 times or more", and the corresponding repeated power failure user ratio is determined. And finally, forming a 3 rd step record by the obtained three items of data, comparing the record with the annual index decomposed to the initiator unit, and if the record exceeds the index, entering the step S5, and if the record does not exceed the index, entering the step S4. And 3, the data recorded in the step 3 is the first power failure data.
S4: and agreeing to approve the power failure list, transmitting the power failure list to the superior, and notifying the superior through a short message.
It should be noted that the intelligent platform agrees to pass through the power failure list in the power grid management platform, transmits the power failure list to the upper level responsible person according to the flow, inquires the mobile phone numbers of the initiator, the special responsibility and the upper level responsible person in the system address book, and sends a short message notification in the format: "the outage bill with single number XXX has passed the audit and is now passed to XX, please know. "
S5: and eliminating repeated power failure and recalculating the power failure time by important users.
In the step 1, the "repeat power outage 2 times or more" in the step 3 record and the important user in the step 2 record are excluded from the list of power outage users in the power outage list. After the data is eliminated, two items of data, namely the corresponding customer power failure time value and the corresponding user power failure time value, are obtained, and the step 5 record is formed together with the repeated power failure user and the important user list, and the process is carried out in S6.
S6: and judging whether the indexes are exceeded after the elimination, if not, entering the step S7, and if so, entering the step S8.
Judging whether each item of power failure data recalculated after being eliminated exceeds the annual index, and subtracting the value of the power failure time of the client and the value of the power failure time of the user in the step 2 from the value of the power failure time of the client recorded in the step 5; and finally, forming a record of step 6 by the two items of data, comparing the record with the annual index decomposed to the initiator unit, and if the record exceeds the index, entering step S8, and if the record does not exceed the index, entering step S7. And 6, recording to obtain second power failure data.
S7: returning the power failure list, adding optimization suggestions and notifying by short messages.
It should be noted that, the intelligent platform returns the power failure list in the power grid management platform, transfers the power failure list to the power failure initiator according to the flow, then sends the repeated power failure user and the important user list in the record of step 5 to the initiator in the OA, and inquires the number of the initiator and the mobile phone number of the special responsibility in the system address book, and sends the short message notification, the format is: the blackout list with the order number XXX is returned, X repeated blackout users and X important users in the blackout list are removed, the detailed list is sent to an initiator through OA, and arrangement of power supply and power generation cars is required to be completed, and people can know the detailed list. "
S8: and (4) positioning the line section with repeated power failure and important users in the GIS system, and recalculating after removing the line section.
It should be noted that, the robot logs in to the GIS system using the account number of the responsibility, locates the line segment where the repeated power failure and the important user are located through the power failure line ID in the step 1 record and the repeated power failure and important user list in the step 5 record, counts the number of other users and clients on the line segment, sorts the line segment by the first priority as the transferable power supply, the second priority as the number of other clients, and the third priority as the number of other users, and accumulates one by one until the number of the line segment is greater than the difference between the annual index of the step 2 record and the single index of the power failure of the step 5 record (i.e. the step 6 record), and the line segment is taken as the rejected line segment. And forming 8 th step record of the removed line sections and the sorting priority thereof, and corresponding client power failure time values and user power failure time values, and entering S9.
S9: and judging whether the indexes are exceeded after the elimination, if not, entering the step S10, and if so, entering the step S11.
Judging whether each item of power failure data recalculated after the line section is removed exceeds the annual index, and subtracting the value of the power failure time of the client and the value of the power failure time of the user from the value of the power failure time of the client recorded in the step 2; and finally, forming a 9 th step record of the two items of data, comparing the record with the annual index decomposed to the initiator unit, and if the record exceeds the index, entering step S11, and if the record does not exceed the index, entering step S10. And 9, recording to obtain third power failure data.
S10: returning the power failure list, adding an optimization suggestion, and notifying by a short message.
It should be noted that, the intelligent platform returns the power failure list in the power grid management platform, transfers the power failure list to the power failure initiator according to the flow, then sends the repeated power failure user, the important user list in the 5 th step record, the circuit segment removed in the 8 th step record and the sequencing priority thereof, the corresponding client power failure time value and the corresponding user power failure time value to the initiator in OA, and inquires the number of the initiator and the mobile phone number of special responsibility in the system address book, and sends a short message notification with the format: the power failure list with the single number XXX returns, X repeated power failure users and X important users in the power failure list are removed, in addition, partial line sections are removed to meet the requirements, the detailed list is sent to an initiator through an OA, the arrangement of power supply transfer and a power generation vehicle is recommended according to the priority, and the user can know the situation. "
S11: and exporting the number of the users of each line section on the GIS system, and removing the users according to the sequence of the rotatable power supply priority.
It should be noted that, the intelligent platform locates and derives the number of customers and the number of users of each line segment on the GIS system through the power failure line ID in the 1 st step of recording, and sorts the line segments by taking the first priority as transferable power supply, the second priority as the number of other customers, and the third priority as the number of other users until the difference between the year index of the 2 nd step of recording and the power failure single index in the 9 th step of recording is greater, and the line segments are taken as further rejected line segments. And forming a record of the step 11 for the further eliminated line sections and the sequencing priority thereof, and the corresponding client power failure time value and the corresponding user power failure time value, and entering S12.
S12: and judging whether the index is exceeded after removal, if not, entering the step S13, and if so, entering the step S14.
Judging whether each item of power failure data recalculated after further line section removal exceeds an annual index, and subtracting the value of the power failure time of the client and the value of the power failure time of the user from the value of the power failure time of the user recorded in the step 2; and finally, forming a 12 th step record of the two items of data, comparing the record with the annual index decomposed to the initiator unit, and if the record exceeds the index, entering the step S14, and if the record does not exceed the index, entering the step S13. And step 12, recording to obtain fourth power failure data.
S13: returning the power failure list, adding an optimization suggestion, and notifying by a short message.
It should be noted that, the intelligent platform returns the power failure list in the power grid management platform, transfers the power failure list to the power failure initiator according to the flow, then sends the repeated power failure user, the important user list in the 5 th step record, the circuit segment removed in the 11 th step record and the sequencing priority thereof, the corresponding client power failure time value and the corresponding user power failure time value to the initiator in OA, and inquires the number of the initiator and the mobile phone number of special responsibility in the system address book, and sends a short message notification with the format: the power failure list with the single number XXX returns, X repeated power failure users and X important users in the power failure list are removed, in addition, partial line sections are removed to meet the requirements, the detailed list is sent to an initiator through an OA, the arrangement of power supply transfer and a power generation vehicle is recommended according to the priority, and the user can know the situation. "
S14: returning the power off list and notifying by a short message.
It should be noted that, the intelligent platform returns the power failure list in the power grid management platform, transfers the power failure list to the power failure initiator according to the flow, and inquires the number of the initiator and the mobile phone number of the special responsibility in the system address book, and sends a short message notification, the format is: the power outage bill with the single number XXX is returned, and the line involved in the power outage bill is beyond the index once the line stops, so that the power outage bill cannot be arranged again in the year. If there is other question, please contact power reliability responsibility, cell phone XXXXXX. "
The embodiment provides an intelligent method for automatically auditing and optimizing a power failure form, which comprises the steps of comparing power failure data of a power failure application form with power failure data derived by a reliability platform by utilizing a developed intelligent platform, so as to judge whether the power failure application form passes or not, and further adding an optimization suggestion to a returned power failure application form, so that the power failure application form is more intelligently processed. According to the method, the automatic auditing of the power failure application form is realized by using the intelligent platform, and the high-efficiency and accurate auditing can be realized according to the method, so that the problems of low processing speed, untimely result auditing and analysis and insufficient accuracy of corresponding optimization measures caused by manual auditing and analysis of the power failure form at present are solved.
The above is a detailed description of an embodiment of an intelligent method for automatically auditing and optimizing a power failure list according to the present invention, and the following is a detailed description of an embodiment of an intelligent device for automatically auditing and optimizing a power failure list according to the present invention.
This embodiment provides an intelligent device of automatic audit optimization power failure list, its characterized in that includes: the device comprises a first judgment module, a second judgment module, a third judgment module, a fourth judgment module and a fifth judgment module.
In this embodiment, the first determining module is configured to determine whether there is a power outage request form, return to the determination again if no, and read the annual index and the important user if yes, and execute the subsequent steps after exporting the reliability platform data.
In this embodiment, the second determination module is configured to determine whether the first power outage data generated based on the power outage request form and the reliability platform data exceeds an annual index, if not, approve the power outage request form and transmit the power outage request form to a higher level, and meanwhile, notify the power outage data through a short message, if yes, reject repeated power outage users and important users to recalculate the power outage data, and execute subsequent steps after obtaining the second power outage data.
It should be noted that the second determining module specifically includes a first electrical data determining module and a second electrical data generating module.
The first power data judgment module is used for adding a client power failure time value and a user power failure time value which are calculated according to the power failure application form, the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure to obtain a first client power failure time value and a first user power failure time value; the system is also used for solving the user details related to power failure in the power failure application form and the user details with power failure in the reliability platform data to obtain users with repeated power failure not less than 2 times and the corresponding proportion of users with repeated power failure; and the system is also used for judging whether the first power failure data generated by the first client power failure time value, the first user power failure time value, the users with repeated power failure not less than 2 times and the corresponding proportion of the users with repeated power failure exceed the annual index of the unit where the power failure application form initiator is located.
The second electrical data generation module is used for eliminating users and important users with repeated power failure not less than 2 times from the power failure user list of the power failure application form, calculating a client power failure time value and a user power failure time value corresponding to the eliminated power failure application form, and recording the eliminated repeated power failure users and important users; the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure are respectively subtracted from the client power failure time value and the user power failure time value which correspond to the power failure application form after being removed, so that a second client power failure time value and a second user power failure time value are obtained; and the second power failure data is obtained based on the second customer power failure time value and the second user power failure time value.
In this embodiment, the third determination module is configured to determine whether the second power outage data exceeds an annual index, if not, return the power outage request form after adding an optimization suggestion, and notify the power outage request form by a short message, if so, locate a line segment where a repeated power outage user and an important user are located in the GIS system, remove a part of the located line segment, recalculate the power outage data, and continue to perform subsequent steps after obtaining the third power outage data.
It should be noted that the third determining module includes a third electrical data generating module.
The third electric data generation module is used for positioning line sections where the repeated power failure users and the important users are located in the GIS according to the power failure request list, the repeated power failure users and the important users; the system is also used for accumulating the positioned line sections one by one after carrying out priority sequencing and simultaneously calculating corresponding power failure data, stopping accumulation until the calculated power failure data after accumulation is larger than second power failure data, taking the accumulated line sections as a first line section needing to be eliminated, recording the first line section and the priority sequencing thereof, and calculating corresponding client power failure time values and user power failure time values; the system is also used for subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the first line section to obtain a third client power failure time value and a third user power failure time value; and the third power failure data is obtained based on the power failure time value of the third client and the power failure time value of the third user.
In this embodiment, the fourth determination module is configured to determine whether the third power outage data exceeds a year index, if not, add an optimization suggestion to the power outage request form and return the power outage request form, and notify the power outage request form with a short message, if yes, export the number of users of each line segment in the GIS system, remove a part of the line segments according to the transferable power supply priority order, recalculate the power outage data, and execute subsequent steps after obtaining the fourth power outage data.
The fourth determining module includes a fourth power consumption data generating module.
The fourth power consumption data generation module is used for positioning a power failure line in the GIS according to the power failure application form, deriving the number of customers and the number of users of each line section, accumulating the power failure data one by one after priority sorting of each line section, and calculating the corresponding power failure data at the same time until the power failure data calculated after accumulation is larger than the third power failure data, stopping accumulation, taking the accumulated line section as a second line section needing to be eliminated, recording the second line section and priority sorting thereof, and calculating the corresponding customer power failure time value and the corresponding user power failure time value; the system is also used for subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the second line section to obtain a fourth client power failure time value and a fourth user power failure time value; and the fourth power failure data is obtained based on the fourth customer power failure time value and the fourth user power failure time value.
In this embodiment, the fifth determining module is configured to determine whether the fourth power outage data exceeds an annual index, if not, return the power outage request form after adding the optimization suggestion, and notify the power outage request form with a short message, and if so, return the power outage request form and notify the power outage request form with a short message.
It should be noted that, the intelligent device for automatically auditing and optimizing a power failure list provided in this embodiment is used to implement the intelligent method for automatically auditing and optimizing a power failure list of the foregoing embodiment, and the specific settings of each module are based on implementing the method, which is not described herein again.
The embodiment provides an intelligent device for automatically auditing and optimizing a power failure form, which comprises a step of comparing power failure data of a power failure application form with power failure data derived by a reliability platform, so as to judge whether the power failure application form passes through or not, and further adds an optimization suggestion to the returned power failure application form, so that the power failure application form is more intelligently processed. The invention realizes high-efficiency and accurate auditing by automatic auditing of the power failure application form.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An intelligent method for automatically auditing and optimizing power failure lists is characterized by being applied to an intelligent platform and comprising the following steps:
judging whether a power failure application form exists or not, if not, returning to judge again, if so, reading the annual index and important users, exporting the reliability platform data and then executing the subsequent steps;
judging whether first power failure data generated based on the power failure application form and the reliability platform data exceed the annual index, if not, agreeing to approve the power failure application form and transmitting the power failure application form to a superior level, simultaneously notifying by a short message, and if so, rejecting repeated power failure users and important users to recalculate power failure data, and executing subsequent steps after second power failure data are obtained;
judging whether the second power failure data exceeds the annual index, if not, returning after adding an optimization suggestion to the power failure request form, and notifying by a short message, if so, positioning the line sections where the repeated power failure users and the important users are located in the GIS, recalculating the power failure data after removing the positioned partial line sections, and continuing to execute the subsequent steps after obtaining third power failure data;
judging whether the third power failure data exceeds the annual index, if not, adding an optimization suggestion to the power failure application form, returning, notifying by a short message, if so, exporting the number of the users of each line section in the GIS system, removing part of the line sections according to the rotatable power supply priority, recalculating the power failure data, and executing the subsequent steps after obtaining fourth power failure data;
and judging whether the fourth power failure data exceeds the annual index, if not, returning the power failure application form after adding an optimization suggestion, and notifying by a short message, and if so, returning the power failure application form and notifying by a short message.
2. The intelligent method for automatically auditing and optimizing a power outage document according to claim 1, wherein said determining whether first power outage data generated based on the power outage request document and the reliability platform data exceeds the annual index specifically comprises:
adding the client power failure time value and the user power failure time value which are calculated according to the power failure request form, the client power failure time value which is obtained from the reliability platform data and has power failure and the user power failure time value to obtain a first client power failure time value and a first user power failure time value;
the user details related to power failure in the power failure application form and the user details with power failure in the reliability platform data are subjected to agreement, and users with repeated power failure not less than 2 times and the corresponding repeated power failure user proportion are obtained;
and judging whether first power failure data generated by the first client power failure time value, the first user power failure time value, the users with repeated power failure not less than 2 times and the corresponding repeated power failure user proportion exceeds the annual index of the unit where the power failure application form initiator is located.
3. The intelligent method for automatically auditing and optimizing a blackout statement according to claim 2, wherein the removing of duplicate blackout users and important users recalculates blackout data to obtain second blackout data specifically comprises:
removing the users and the important users with repeated power failure for not less than 2 times from the power failure user list of the power failure application form, calculating the client power failure time value and the user power failure time value corresponding to the removed power failure application form, and recording the removed repeated power failure users and the important users;
respectively subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the power failure request form after the power failure request form is removed, and obtaining a second client power failure time value and a second user power failure time value;
and obtaining second power failure data based on the second customer power failure time value and the second user power failure time value.
4. The intelligent method for automatically auditing and optimizing a blackout ticket according to claim 3, wherein the positioning of the line segments where the repeat blackout subscribers and the important subscribers are located in the GIS system, and the recalculation of blackout data after the removal of the positioned line segments to obtain third blackout data specifically comprises:
positioning a line section where the repeated power failure user and the important user are located in a GIS (geographic information system) according to the power failure request sheet, the repeated power failure user and the important user;
the positioned line sections are subjected to priority sequencing, then are accumulated one by one, corresponding power failure data are calculated at the same time, accumulation is stopped until the calculated power failure data after accumulation is larger than second power failure data, the accumulated line sections are used as first line sections needing to be removed, the first line sections and the priority sequencing thereof are recorded, and corresponding client power failure time values and user power failure time values are calculated;
subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the first line section to obtain a third client power failure time value and a third user power failure time value;
and obtaining third power failure data based on the third customer power failure time value and the third user power failure time value.
5. The intelligent method for automatically auditing and optimizing a blackout ticket of claim 4, wherein deriving the number of subscribers in each line segment in the GIS system, removing a portion of line segments according to a transferable power supply prioritization and then recalculating blackout data to obtain fourth blackout data specifically comprises:
positioning a power failure line according to the power failure application form in a GIS (geographic information system) and deriving the number of customers and the number of users of each line section, accumulating the power failure data one by one after priority ranking of each line section and simultaneously calculating corresponding power failure data until the power failure data calculated after accumulation is greater than the third power failure data, stopping accumulation, taking the accumulated line section as a second line section needing to be eliminated, recording the second line section and priority ranking thereof, and calculating corresponding customer power failure time value and user power failure time value;
subtracting the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure from the client power failure time value and the user power failure time value which correspond to the second line section to obtain a fourth client power failure time value and a fourth user power failure time value;
and obtaining fourth power failure data based on the fourth customer power failure time value and the fourth user power failure time value.
6. The utility model provides an automatic examine and examine intelligent device who optimizes the power failure list which characterized in that includes:
the first judgment module is used for judging whether a power failure application form exists or not, if not, returning to judge again, if yes, reading the annual index and the important user, exporting the reliability platform data and then executing the subsequent steps;
the second judgment module is used for judging whether first power failure data generated based on the power failure application form and the reliability platform data exceeds the annual index, if not, the power failure application form is approved and transmitted to the superior, meanwhile, short message notification is carried out, if yes, repeated power failure users and important users are removed, power failure data are recalculated, and subsequent steps are executed after second power failure data are obtained;
the third judgment module is used for judging whether the second power failure data exceeds the annual index, if not, returning after adding an optimization suggestion to the power failure request form, notifying by a short message, if so, positioning the line sections where the repeated power failure users and the important users are located in the GIS, removing the positioned partial line sections, recalculating the power failure data, and continuing to execute the subsequent steps after obtaining third power failure data;
a fourth judging module, configured to judge whether the third power outage data exceeds the annual index, if not, add an optimization suggestion to the power outage request form, return the power outage request form, and notify the power outage request form by a short message, if yes, export the number of users in each line segment in the GIS system, remove a part of line segments according to a rotatable power supply priority order, recalculate the power outage data, and execute subsequent steps after obtaining fourth power outage data;
and the fifth judgment module is used for judging whether the fourth power failure data exceeds the annual index, if not, returning the power failure application form after adding an optimization suggestion, and notifying the power failure application form by a short message, and if so, returning the power failure application form and notifying the power failure application form by a short message.
7. The intelligent device for automatically auditing and optimizing blackout lists according to claim 6, wherein said second decision module comprises: a first electricity consumption data judgment module;
the first power data judgment module is used for adding a client power failure time value and a user power failure time value which are calculated according to the power failure request form, the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure to obtain a first client power failure time value and a first user power failure time value;
the power failure reporting module is also used for solving the user details related to power failure in the power failure application form and the user details with power failure in the reliability platform data to obtain users with repeated power failure not less than 2 times and the corresponding proportion of the users with repeated power failure;
and the first power failure data generated by the first client power failure time value, the first user power failure time value, the users with repeated power failure not less than 2 times and the corresponding repeated power failure user proportion is judged whether to exceed the annual index of the unit where the power failure application form initiator is located.
8. The intelligent device for automatically auditing and optimizing blackout lists according to claim 7, wherein said second decision module further comprises: a second electrical data generation module;
the second electrical data generation module is used for eliminating the users and the important users with repeated power failure for not less than 2 times from the power failure user list of the power failure application form, calculating the client power failure time value and the user power failure time value corresponding to the power failure application form after elimination, and recording the eliminated repeated power failure users and the important users;
the client power failure time value and the user power failure time value which are obtained by the reliability platform data and have power failure are respectively subtracted from the client power failure time value and the user power failure time value which correspond to the power failure request form after the client power failure time value and the user power failure time value are removed, and a second client power failure time value and a second user power failure time value are obtained;
and the second power failure data is obtained based on the second customer power failure time value and the second user power failure time value.
9. The intelligent device for automatically auditing and optimizing blackout lists according to claim 8, wherein said third determining module comprises: a third electrical data generation module;
the third electric data generation module is used for positioning the line sections where the repeated power failure users and the important users are located in the GIS according to the power failure request list, the repeated power failure users and the important users;
the system is also used for accumulating the positioned line sections one by one after carrying out priority sequencing and simultaneously calculating corresponding power failure data, stopping accumulation until the calculated power failure data after accumulation is larger than the second power failure data, taking the accumulated line sections as a first line section to be eliminated, recording the first line section and the priority sequencing thereof, and calculating corresponding client power failure time values and user power failure time values;
the reliability platform is used for obtaining a customer power failure time value and a user power failure time value which are obtained by the reliability platform data and have power failure, and subtracting the customer power failure time value and the user power failure time value which correspond to the first line section to obtain a third customer power failure time value and a third user power failure time value;
and the system is also used for obtaining third power failure data based on the third customer power failure time value and the third user power failure time value.
10. The intelligent device for automatically auditing and optimizing blackout lists according to claim 9, wherein said fourth determination module comprises: a fourth electricity consumption data generation module;
the fourth power consumption data generation module is used for positioning a power failure line according to the power failure application form in the GIS system, deriving the number of customers and the number of users of each line section, accumulating the power failure data one by one after priority sorting of each line section, and calculating corresponding power failure data at the same time, stopping accumulation until the calculated power failure data after accumulation is larger than the third power failure data, taking the accumulated line section as a second line section needing to be eliminated, recording the second line section and priority sorting thereof, and calculating corresponding customer power failure time value and user power failure time value;
the reliability platform is used for obtaining a first line section, a second line section and a reliability platform data, and is also used for subtracting a client power failure time value and a user power failure time value which are obtained by the reliability platform data and have power failure from a client power failure time value and a user power failure time value which correspond to the second line section to obtain a fourth client power failure time value and a fourth user power failure time value;
and the fourth power failure data is obtained based on the fourth customer power failure time value and the fourth user power failure time value.
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| CN202111354928.6A CN114049237B (en) | 2021-11-16 | Intelligent method and device for automatically auditing and optimizing blackout bill |
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| CN202111354928.6A CN114049237B (en) | 2021-11-16 | Intelligent method and device for automatically auditing and optimizing blackout bill |
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