CN113077144A - Intelligent statistical method and device for number of users affected by distribution network fault - Google Patents
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Abstract
The application discloses an intelligent statistical method and device for the number of users affected by distribution network faults, wherein the method comprises the following steps: firstly, extracting key field information from mass data information in a database; correlating the topological structure of the line with the number of users to determine the number of users of each line segment of the line; then classifying the key field information by using the fault single number to obtain the information of the fault line; and finally, correlating the information such as the number of users of each fault line according to the ID of each fault line, and the like, thereby obtaining the number of users of each fault line. The technical problem that the number of users affected by the faults of the power distribution network cannot be counted accurately in real time in the prior art is solved.
Description
Technical Field
The application relates to the technical field of power grid operation and maintenance, in particular to an intelligent analysis method and device for the number of users affected by distribution network faults.
Background
In the intelligent development of the power distribution network, various types of protection switches and remote control switches can be put into a route, and the intelligent development is promoted by adopting the technologies of main station self-healing and the like. When a distribution network fault occurs, the protection switch can isolate the fault, the remote control switch can rapidly recover the power supply of a user, and the self-healing intervention of the main station can promote the rapid power restoration of the user. However, the recovery situation of the number of users due to the intervention of a distribution variable, a medium-low voltage user number, a protection switch, a remote control switch and the like in a power distribution network line in a fault still stays in a manual counting stage, accurate and real-time counting cannot be achieved, and the effect of the intelligent development of the power distribution network in fault recovery power utilization cannot be evaluated.
Therefore, an intelligent counting method and device for the number of users affected by the distribution network fault are urgently needed to accurately count the number of users affected by the distribution network fault in real time.
Disclosure of Invention
The application provides an intelligent counting method and device for the number of distribution network fault influencing users, which are used for solving the technical problem that the number of distribution network fault influencing users cannot be counted accurately in real time in the prior art.
In view of this, a first aspect of the present application provides an intelligent statistical method for number of users affected by distribution network fault, where the method includes:
s1, acquiring data information of the distribution network, and extracting key field information of the data information;
s2, matching the line topology structure in the data information with the number of users to obtain the number of users of each line segment in the distribution network line;
s3, classifying the key field information by each fault single number in the data information to obtain each fault line information;
s4, calculating the number of users of the preset key field in a preset time period according to the number of users of each line segment based on the number of users calculation mode corresponding to the preset key field in each fault line information;
and S5, associating the number of users in a preset time period of a preset key field according to the ID of each fault line to obtain the number of users of each fault line.
Optionally, after step S5, the method further includes:
and generating a statistical report of fault isolation and power restoration conditions of all the departments of the power grid according to the user number condition of each fault line based on the power grid department category in the key field information.
Optionally, step S1 specifically includes:
establishing a database of a distribution network and a data interface of a data center station, and acquiring data information of the distribution network through the data interface, wherein the data information comprises: dispatching desk fault log information, distribution network single line diagram system graph mode information, the number of users of a marketing system, distribution network automation system master station information and remote control action information;
extracting key field information of the data information, wherein the key field information comprises: the system comprises a fault single number, the type of the power grid department, the name of a station, the type of a line, power failure time, power restoration time, switch power restoration time and full-line user power restoration time.
Optionally, the preset key field includes: the method comprises the steps of in-situ protection and pre-action isolation, distribution and regulation manual remote control isolation to power supply and restoration, main station self-healing isolation to power supply and restoration, switch back-stage circuit during fault and full-line circuit during fault.
Optionally, the user number calculation method of the "isolation before action of in-place protection" is as follows:
and subtracting the number of users of the 'rear-stage circuit of the switch at fault' from the number of users of the 'full-line circuit at fault', thereby obtaining the number of users of the 'isolation before the in-situ protection action'.
Optionally, the user number calculation method of "distributing and dispatching manual remote control isolation to power supply and restoration" includes:
and in the preset time period, when at least two successful remote control records exist in the remote control action information, matching the ID of the first switch to be counted with the number of users of each line segment, and determining the number of users of the 'distribution manual remote control isolation transfer power restoration' according to the operation record of the rear-segment switch of the first switch.
Optionally, the user number calculation method of "master station self-healing isolation transfers power supply and power restoration" is as follows:
and extracting fault lines to be counted in the dispatching desk fault log information, matching ID of a section isolating switch with key field information of the fault lines to be counted as 'main station self-healing', with the number of users of each line segment, and determining the number of users of 'main station self-healing isolation transfer power supply and restoration' according to a back-end switch operation record of the section isolating switch.
Optionally, the user number calculation method of the "switch back end line at fault" is as follows:
and matching the number of users of each line segment according to the switch ID of the 'switch back segment circuit at fault' to be counted, and obtaining the number of users of the 'switch back segment circuit at fault' according to the back segment switch operation record of the sectionalizing switch.
Optionally, the user number of the "full line at fault" is calculated in the following manner:
and matching the number of users of each line segment according to the ID of the 'full line circuit at fault' to be counted to obtain the number of users of the 'circuit at the rear section of the switch at fault'.
The second aspect of the application provides a join in marriage intelligent statistics device of net fault influence user number, the device includes:
the acquisition module is used for acquiring data information of a distribution network and extracting key field information of the data information;
the matching module is used for matching the line topological structure in the data information with the number of users to obtain the number of users of each line segment in the distribution network line;
the classification module is used for classifying the key field information by using each fault single number in the data information to obtain each fault line information;
the statistical module is used for calculating the number of users of the preset key field in a preset time period according to the number of users of each line segment based on the number of users calculating mode corresponding to the preset key field in each fault line information;
and the association module is used for associating the number of users in a preset time period of a preset key field according to the ID of each fault line to obtain the number of users of each fault line.
According to the technical scheme, the method has the following advantages:
according to the intelligent statistical method for the number of users affected by the distribution network fault, key field information is extracted from mass data information in a database; correlating the topological structure of the line with the number of users to determine the number of users of each line segment of the line; then classifying the key field information by using the fault single number to obtain the information of the fault line; and finally, correlating the information such as the number of users of each fault line according to the ID of each fault line, and the like, thereby obtaining the number of users of each fault line. The technical problem that the number of users affected by the faults of the power distribution network cannot be counted accurately in real time in the prior art is solved.
Drawings
Fig. 1 is a schematic flowchart of a first embodiment of an intelligent statistical method for number of users affected by distribution network failure according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a second embodiment of the intelligent statistical method for the number of users affected by the distribution network fault, provided in the embodiment of the present application;
fig. 3 is a schematic diagram of a fault isolation power restoration condition statistical report provided in an embodiment of the present application;
fig. 4 is a structural diagram of an embodiment of an intelligent statistics apparatus for influencing the number of users in a distribution network fault according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
Referring to fig. 1 and fig. 3, an intelligent statistical method for the number of users affected by a distribution network fault according to an embodiment of the present application includes:
It should be noted that, in this embodiment, data information is acquired through a database of the power distribution network, and the data information categories are as follows: dispatching desk fault log information, distribution network single line diagram system graph-mode information, marketing system user number and distribution variable number information, distribution network automation system master station and remote control action information and the like; and screening data information, and extracting key field information related to the statistics of the number of the distribution network fault influencing users, such as: the system comprises a fault single number, the type of the power grid department, the name of a station, the type of a line, power failure time, power restoration time, switch power restoration time and full-line user power restoration time.
And 102, matching the line topology structure in the data information with the user number to obtain the user number of each line segment in the distribution network line.
It should be noted that, in this embodiment, a line topology structure of the power distribution network is obtained through a graph-model information system in the power distribution network, and the number of users is obtained through a marketing system in the power distribution network; it can be understood that, when a distribution network fault occurs, the remote control switch of the line needs to be intervened by the automation system, so that the number of users of the line segment processed by the remote control switch is greatly changed, and therefore, the user number information of each line segment taking the remote control switch as a line demarcation point can be obtained by matching the line topology structure with the number of users in the embodiment.
And 103, classifying the key field information by each fault single number in the data information to obtain each fault line information.
As shown in fig. 3, in the present embodiment, the line name, the local area, whether to use a dedicated line, and the like in the key field information are classified by the fault ticket number, and the basic information of each faulty line is first determined.
And step 104, calculating the number of the users of the preset key field in the preset time period according to the number of the users of each line segment based on the number of the users corresponding to the preset key field in each fault line information.
It should be noted that, after the basic information of each faulty line is determined in step 103, the preset key fields in the information of each faulty line in the present embodiment are: the method comprises the steps of calculating the number of users of isolation before ground protection action, manual remote control isolation transfer power supply and restoration during distribution and adjustment, main station self-healing isolation transfer power supply and restoration, a switch rear-section line during fault and a full-line during fault, and specifically calculating the number of users of preset key fields in 30 minutes after the power failure time of the fault line according to the number of users of each line segment in a user number calculation mode corresponding to each preset key field.
And 105, associating the number of users of the preset key field in a preset time period according to the ID of each fault line to obtain the number of users of each fault line.
It should be noted that each faulty line is provided with a remote control switch, and each remote control switch has its own ID, so that the user number of the preset key field in the preset time period is associated according to the ID of each faulty line, so as to obtain the user number condition of each faulty line as shown in fig. 3.
According to the intelligent statistical method for the number of users affected by the distribution network fault, firstly, key field information is extracted from mass data information in a database; correlating the topological structure of the line with the number of users to determine the number of users of each line segment of the line; then classifying the key field information by using the fault single number to obtain the information of the fault line; and finally, correlating the information such as the number of users of each fault line according to the ID of each fault line, and the like, thereby obtaining the number of users of each fault line. The technical problem that the number of users affected by the faults of the power distribution network cannot be counted accurately in real time in the prior art is solved.
The foregoing is an embodiment one of the intelligent statistical method for the number of users affected by the distribution network fault provided in the embodiment of the present application, and the following is an embodiment two of the intelligent statistical method for the number of users affected by the distribution network fault provided in the embodiment of the present application.
Referring to fig. 2 and fig. 3, a second intelligent statistical method for the number of users affected by a distribution network fault according to an embodiment of the present application includes:
It should be noted that the data center is a set of sustainable mechanisms for "making data of an enterprise useful", and a strategic selection and organization form is that a set of mechanisms for continuously changing data into assets and serving the data to businesses is constructed through tangible products and implementation methodology support according to the specific business model and organization architecture of the enterprise.
In the embodiment, a data interface is established through a database of a power distribution network based on a data center station, and is used for acquiring data information of the power distribution network; the data information of this embodiment includes: the system comprises dispatching desk fault log information, distribution network single line diagram system graph mode information, the number of users of a marketing system, distribution network automation system main station information and remote control action information. The key field information includes: the system comprises a fault single number, a power grid department type, a station name, a line type, power failure time, power restoration time, switch power restoration time and full-line user power restoration time. Then screening the data information, and extracting key field information related to the statistics of the number of the distribution network fault influencing users, such as: the system comprises a fault single number, the type of the power grid department, the name of a station, the type of a line, power failure time, power restoration time, switch power restoration time and full-line user power restoration time.
Step 202 of this embodiment is the same as step 102 of this embodiment, please refer to step 102 for description, and will not be described herein again.
And step 203, classifying the key field information by each fault single number in the data information to obtain each fault line information.
Step 203 of this embodiment is the same as step 103 of this embodiment, please refer to step 103 for description, and will not be described herein again.
It should be noted that the preset key field of the second embodiment includes: the number of users of each preset key field is calculated in the following mode:
and step 204, subtracting the number of the users of the line at the rear section of the switch at the fault from the number of the users of the line at the whole line at the fault to obtain the number of the users of the isolation before the in-situ protection action.
It can be understood that the calculation manner of the number of users isolated before the in-place protection action in this embodiment is as follows: the number of users of the "full line at fault" is subtracted from the number of users of the "line at the latter stage of the switch at fault".
And step 205, in a preset time period, when at least two successful remote control records exist in the remote control action information, matching the ID of the first switch to be counted with the number of users of each line segment, and determining the number of users for 'distributing and dispatching manual remote control isolated power supply and power restoration' according to the operation record of the rear-segment switch of the first switch.
It can be understood that the user number calculation method of the "allocation and dispatching manual remote control isolation-to-power-restoration" in this embodiment is as follows: firstly, within 30 minutes after the power failure time occurs, judging whether at least two successful remote control records exist in the remote control action information, if so, matching the ID of a remote control switch (a first switch) in the fault line with the number of users of each line segment in the fault line, counting the number of users at the rear section of the switch according to the sectional switch operation record at the rear section of the remote control switch, and defining the number of users as the number of users of the 'distribution manual remote control isolation transfer power supply and restoration' in the embodiment.
And step 206, extracting the fault line to be counted in the dispatching desk fault log information, matching the ID of the sectionalizer with the number of users of each line segment, wherein the key field information of the fault line to be counted is 'main station self-healing', and determining the number of users for 'main station self-healing isolation switching power supply and power restoration' according to the back-end switch operation record of the sectionalizer.
Similar to step 205, the number of users in the "self-healing isolation of the master station is transferred to power restoration" in this embodiment is: firstly, selecting a fault line with key field information of 'main station self-healing', extracting the ID of a sectionalizer of the fault line, then matching the ID with the number of users of each line segment in the fault line, and counting the number of users at the rear section of the sectionalizer according to the operation record of the rear section switch of the sectionalizer, wherein the number of the users is defined as the number of users of 'main station self-healing isolation switching power supply and power restoration'.
And step 207, matching the number of users of each line segment according to the switch ID of the 'switch back segment circuit at fault' to be counted, and determining the number of users of the 'switch back segment circuit at fault' according to the back segment switch operation record of the sectionalizer.
In the present embodiment, the user number calculation method of the "switch back stage line at the time of failure" is as follows: firstly, extracting a switch ID in a fault line of which the number of users is to be counted, matching the switch ID with the number of users of each line segment, and counting the number of users at the rear section of the switch according to the rear-section switch operation record of the sectionalizer, namely the number of users defined as the 'rear-section switch line during fault'.
And step 208, matching the number of users of each line segment according to the ID of the 'full line circuit at fault' to be counted to obtain the number of users of the 'circuit at the rear section of the switch at fault'.
Similarly to step 207, the user number calculation method of the ID of the "full line at fault" in this embodiment is as follows: firstly, extracting a switch ID in a fault line of which the number of users is to be counted, matching the switch ID with the number of users of each line segment, wherein the total number of users of each line segment is defined as the number of users of a 'switch back-end line in fault'.
And 209, associating the number of users of the preset key field in a preset time period according to the ID of each fault line to obtain the number of users of each fault line.
Step 209 of the present embodiment is the same as the description of step 105 of the embodiment, please refer to step 105, and will not be described herein again.
And step 210, generating a fault isolation and power restoration condition statistical report of each department of the power grid according to the user number condition of each fault line based on the power grid department category in the key field information.
It should be noted that, because the power grid is divided into different levels of departments, the present embodiment generates a distribution network fault isolation complex power condition statistical report such as a city department dimension, a district department dimension, a power supply station dimension, and the like according to the categories of the power grid departments.
According to the intelligent statistical method for the number of users affected by the distribution network fault, firstly, a data interface of a database is established based on a data center, and key field information is extracted from mass data information through the data interface; correlating the topological structure of the line with the number of users to determine the number of users of each line segment of the line; then classifying the key field information by using the fault single number to obtain the information of the fault line; then, based on preset key fields in each fault line information, the method comprises the following steps: the method comprises the steps of carrying out isolation before ground protection action, manual remote control for allocation and adjustment, isolation, transfer and power restoration, main station self-healing isolation, transfer and power restoration, switch rear-section line in fault, full-line in fault, and calculating the number of users of preset key fields in a preset time period according to the number of users of each line segment in a corresponding user number calculation mode; then, correlating information such as the number of users of each fault line according to the ID of each fault line, and obtaining the number of users of each fault line; and finally, generating a distribution network fault isolation complex power condition statistical report such as city dimension, district dimension, power supply station dimension and the like according to the category of the power grid department. The technical problem that the number of users affected by the faults of the power distribution network cannot be counted accurately in real time in the prior art is solved.
The second embodiment of the intelligent statistical method for the number of users affected by the distribution network fault provided in the embodiment of the present application is described above, and the second embodiment of the intelligent statistical device for the number of users affected by the distribution network fault provided in the embodiment of the present application is described below.
Referring to fig. 4, an embodiment of an intelligent statistical apparatus for a number of users affected by a distribution network fault provided in an embodiment of the present application includes:
the acquisition module 301 is configured to acquire data information of a distribution network and extract key field information of the data information;
the matching module 302 is configured to match a line topology structure in the data information with the number of users, so as to obtain the number of users of each line segment in the distribution network line;
the classification module 303 is configured to classify the key field information by each fault single number in the data information to obtain each fault line information;
the statistical module 304 is configured to calculate, based on a user number calculation mode corresponding to a preset key field in each fault line information, a user number of the preset key field in a preset time period according to the user number of each line segment;
the associating module 305 is configured to associate the number of users in the preset time period in the preset key field according to the ID of each faulty line, so as to obtain the number of users in each faulty line.
According to the intelligent counting device for the number of users affected by the distribution network fault, firstly, key field information is extracted from mass data information in a database; correlating the topological structure of the line with the number of users to determine the number of users of each line segment of the line; then classifying the key field information by using the fault single number to obtain the information of the fault line; and finally, correlating the information such as the number of users of each fault line according to the ID of each fault line, and the like, thereby obtaining the number of users of each fault line. The technical problem that the number of users affected by the faults of the power distribution network cannot be counted accurately in real time in the prior art is solved.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should 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 in the embodiments of the present application.
Claims (10)
1. An intelligent statistical method for the number of users affected by distribution network faults is characterized by comprising the following steps:
s1, acquiring data information of the distribution network, and extracting key field information of the data information;
s2, matching the line topology structure in the data information with the number of users to obtain the number of users of each line segment in the distribution network line;
s3, classifying the key field information by each fault single number in the data information to obtain each fault line information;
s4, calculating the number of users of the preset key field in a preset time period according to the number of users of each line segment based on the number of users calculation mode corresponding to the preset key field in each fault line information;
and S5, associating the number of users in a preset time period of a preset key field according to the ID of each fault line to obtain the number of users of each fault line.
2. The intelligent statistical method for the number of users affected by the distribution network fault as recited in claim 1, further comprising, after step S5:
and generating a fault isolation and power restoration condition statistical report of each part of the power grid according to the user number condition of each fault line based on the power grid department category in the key field information.
3. The intelligent statistical method for the number of users affected by the distribution network fault as recited in claim 2, wherein step S1 specifically includes:
establishing a database of a distribution network and a data interface of a data center station, and acquiring data information of the distribution network through the data interface, wherein the data information comprises: dispatching desk fault log information, distribution network single line diagram system graph mode information, the number of users of a marketing system, distribution network automation system master station information and remote control action information;
extracting key field information of the data information, wherein the key field information comprises: the system comprises a fault single number, the type of the power grid department, the name of a station, the type of a line, power failure time, power restoration time, switch power restoration time and full-line user power restoration time.
4. The intelligent statistical method for the number of users affected by the distribution network fault as recited in claim 3, wherein the presetting of the key fields comprises: the method comprises the steps of in-situ protection and pre-action isolation, distribution and regulation manual remote control isolation to power supply and restoration, main station self-healing isolation to power supply and restoration, switch back-stage circuit during fault and full-line circuit during fault.
5. The intelligent statistical method for the number of users affected by the distribution network fault as recited in claim 4, wherein the user number calculation mode of "isolation before in-place protection action" is as follows:
and subtracting the number of users of the 'rear-stage circuit of the switch at fault' from the number of users of the 'full-line circuit at fault', thereby obtaining the number of users of the 'isolation before the in-situ protection action'.
6. The intelligent statistical method for the number of users affected by the distribution network fault, according to claim 4, is characterized in that the user number calculation mode of 'distribution and dispatching manual remote control isolation to power supply and power restoration' is as follows:
and in the preset time period, when at least two successful remote control records exist in the remote control action information, matching the ID of the first switch to be counted with the number of users of each line segment, and determining the number of users of the 'distribution manual remote control isolation transfer power restoration' according to the operation record of the rear-segment switch of the first switch.
7. The intelligent statistical method for the number of users affected by the distribution network fault according to claim 4, wherein the number of users in the process of transferring self-healing isolation of the main station to power supply and power restoration is calculated in a manner that:
and extracting fault lines to be counted in the dispatching desk fault log information, matching ID of a section isolating switch with key field information of the fault lines to be counted as 'main station self-healing', with the number of users of each line segment, and determining the number of users of 'main station self-healing isolation transfer power supply and restoration' according to a back-end switch operation record of the section isolating switch.
8. The intelligent statistical method for the number of users affected by the distribution network fault as recited in claim 4, wherein the user number of the "switch back end line at fault" is calculated in a manner that:
and matching the number of users of each line segment according to the switch ID of the 'switch back segment circuit at fault' to be counted, and obtaining the number of users of the 'switch back segment circuit at fault' according to the back segment switch operation record of the sectionalizing switch.
9. The intelligent statistical method for the number of users affected by the distribution network fault as recited in claim 4, wherein the number of users of the "full line at fault" is calculated in a manner that:
and matching the number of users of each line segment according to the ID of the 'full line circuit at fault' to be counted to obtain the number of users of the 'circuit at the rear section of the switch at fault'.
10. The utility model provides a join in marriage intelligent statistics device of net trouble influence number of users which characterized in that includes:
the acquisition module is used for acquiring data information of a distribution network and extracting key field information of the data information;
the matching module is used for matching the line topological structure in the data information with the number of users to obtain the number of users of each line segment in the distribution network line;
the classification module is used for classifying the key field information by using each fault single number in the data information to obtain each fault line information;
the statistical module is used for calculating the number of users of the preset key field in a preset time period according to the number of users of each line segment based on the number of users calculating mode corresponding to the preset key field in each fault line information;
and the association module is used for associating the number of users in a preset time period of a preset key field according to the ID of each fault line to obtain the number of users of each fault line.
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