CN114123190A - Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium - Google Patents

Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium Download PDF

Info

Publication number
CN114123190A
CN114123190A CN202111444146.1A CN202111444146A CN114123190A CN 114123190 A CN114123190 A CN 114123190A CN 202111444146 A CN202111444146 A CN 202111444146A CN 114123190 A CN114123190 A CN 114123190A
Authority
CN
China
Prior art keywords
data
processed
group
determining
jump
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111444146.1A
Other languages
Chinese (zh)
Inventor
许晓春
何奕枫
张胜强
谢林翰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
Original Assignee
Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Power Grid Co Ltd, Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd filed Critical Guangdong Power Grid Co Ltd
Priority to CN202111444146.1A priority Critical patent/CN114123190A/en
Publication of CN114123190A publication Critical patent/CN114123190A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management

Abstract

The embodiment of the invention discloses a method and a device for determining a target region to which an ammeter belongs, electronic equipment and a storage medium. The method comprises the following steps: acquiring a to-be-processed data set of a plurality of to-be-processed electric meters within a preset time length; for each data group to be processed, determining voltage jump data at two adjacent moments in the current data group to be processed, and recording jump moments at which the voltage jump data are greater than a preset jump data threshold value to obtain a data jump set corresponding to the current data group to be processed; determining the similarity among the data hopping sets, and determining the electric meter groups belonging to the same region according to the similarity; and if the to-be-processed electric meters in the electric meter group comprise the station area identification, taking the station area identification as a target station area of the electric meter group. The problems of high construction cost and low efficiency caused by the fact that the district to which the ammeter belongs needs to be determined on site manually and periodically in the prior art are solved, high-precision division of the district to which the ammeter belongs is achieved, and the effects of improving accuracy and convenience in determining the district to which the ammeter belongs are achieved.

Description

Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium
Technical Field
The embodiment of the invention relates to a computer processing technology, in particular to a method, a device, electronic equipment and a storage medium for determining a target region to which an ammeter belongs.
Background
In an electric power system, a distribution area refers to an area range covered by a power supply line of a transformer, in order to realize accurate management of a power grid and enable a power distribution network to operate safely and stably, an electric power department must clearly know the information of the affiliated distribution areas of each intelligent electric meter and the distribution transformer and establish an accurate distribution area management file. However, since the construction and maintenance of the power transmission lines in residential areas are a continuous process, in the process, situations such as disordered power layout, irregular construction, coverage of a certain section of the power transmission line under the ground, line change caused by transformation and upgrade of the residential areas may occur, and these situations are all likely to cause disorder or change in the area of the power meter, so that the area to which the power meter belongs needs to be correctly identified.
At present, a district identification method in the prior art mainly determines a district of each electric meter through a district identification instrument, although the district identification instrument can accurately identify the district, when a district to which the electric meter belongs is investigated in a later stage, manual on-site testing is required, great manpower and material resources are required to be continuously input, and the problems of difficulty in investigation, large workload and the like can be caused when the information of the district is changed after the change of the site cannot be guaranteed.
Disclosure of Invention
The embodiment of the invention provides a method, a device, electronic equipment and a storage medium for determining a target district to which an ammeter belongs, so that high-precision district division of the ammeter is realized, the accuracy and convenience for determining the district to which the ammeter belongs are improved, the accurate management of a power grid is achieved, and the effect of safe and stable operation of a power distribution network is achieved.
In a first aspect, an embodiment of the present invention provides a method for determining a target platform area to which an electricity meter belongs, where the method includes:
acquiring a to-be-processed data set of a plurality of to-be-processed electric meters within a preset time length; the data group to be processed comprises voltage data at a plurality of discrete moments;
for each data group to be processed, determining voltage jump data at two adjacent moments in the current data group to be processed, and recording jump moments at which the voltage jump data are greater than a preset jump data threshold value to obtain a data jump set corresponding to the current data group to be processed;
determining the similarity among the data hopping sets, and determining the electric meter groups belonging to the same region according to the similarity; the ammeter group comprises a plurality of to-be-processed ammeters belonging to the same region;
and if the to-be-processed electric meters in the electric meter group comprise the station area identification, taking the station area identification as a target station area of the electric meter group.
In a second aspect, an embodiment of the present invention further provides an apparatus for determining a target platform area to which an electricity meter belongs, where the apparatus includes:
the system comprises a to-be-processed data set acquisition module, a to-be-processed data set acquisition module and a to-be-processed data set acquisition module, wherein the to-be-processed data set acquisition module is used for acquiring to-be-processed data sets of a plurality of to-be-processed electric meters within a preset time length; the data group to be processed comprises voltage data at a plurality of discrete moments;
the data hopping set acquisition module is used for determining voltage hopping data of two adjacent moments in the current data group to be processed aiming at each data group to be processed, recording the hopping moment when the voltage hopping data is greater than a preset hopping data threshold value, and obtaining a data hopping set corresponding to the current data group to be processed;
the electric meter group determining module is used for determining the similarity among the data hopping sets and determining electric meter groups belonging to the same region according to the similarity; the ammeter group comprises a plurality of to-be-processed ammeters belonging to the same region;
and the target platform area determining module is used for identifying the platform area as the target platform area of the ammeter group if the ammeter to be processed in the ammeter group comprises a platform area identification.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, the one or more programs enable the one or more processors to implement the method for determining the target region to which the electricity meter belongs according to any one of the embodiments of the present invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for determining the target area to which the electricity meter belongs according to any one of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, voltage jump data of two adjacent moments in the current data group to be processed are determined by acquiring the data group to be processed of a plurality of electric meters to be processed within a preset time length, and the jump moment of which the voltage jump data is greater than a preset jump data threshold value is recorded, so that a data jump set corresponding to the current data group to be processed is obtained; determining the similarity among the data hopping sets, and determining the electric meter groups belonging to the same region according to the similarity; if the to-be-processed electric meters in the electric meter group comprise the station area identification, the station area identification is used as a target station area of the electric meter group, the problems of high construction cost and low efficiency caused by the fact that the station area to which the electric meters belong is determined on site periodically by manpower in the prior art are solved, high-precision station area division is carried out on the electric meters at the moment that the voltage fluctuation range of the electric meters exceeds a threshold value, and then the information of the station area to which each electric meter corresponds is obtained, the accuracy and the convenience for determining the station area to which the electric meters belong are improved, meanwhile, the participation of a manual or station area detection instrument is avoided, the manpower and material resource cost is greatly reduced, the accurate management of an electric network is also achieved, and the technical effect that the electric network can operate safely and stably is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 is a flowchart of a method for determining a target zone to which an electricity meter belongs according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a method for determining a target distribution area to which an electricity meter belongs according to a second embodiment of the present invention;
fig. 3 is a block diagram illustrating a structure of an apparatus for determining a target distribution area to which an electricity meter belongs according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a flowchart of a method for determining a target platform area to which an electric meter belongs according to an embodiment of the present invention, where the embodiment is applicable to a case of determining the platform area to which the electric meter belongs, and the method may be executed by a device for determining the target platform area to which the electric meter belongs in the embodiment of the present invention, and the device may be implemented in a software and/or hardware manner, and optionally, may be implemented by an electronic device, and the electronic device may be a mobile terminal, a PC terminal, a server terminal, or the like. The apparatus may be configured in a computing device, and the method for determining a target distribution area to which an electricity meter belongs specifically includes the following steps:
and S110, acquiring a to-be-processed data set of a plurality of to-be-processed electric meters within a preset time length.
The electric meter to be processed can be understood as the electric meter of the region to which the electric meter needs to be determined. The data group to be processed refers to data for determining a region to which the electric meter belongs, and may be electric characteristic parameter data of the electric meter, such as voltage, current, power frequency, and the like, or fluctuation data of the voltage or the current. The to-be-processed data set includes voltage data at a plurality of discrete moments, for example, a large number of discrete acquisition moments may be preset, and data acquired at each discrete acquisition moment may be used as the to-be-processed data set. The preset time duration refers to the preset time used for calling the electric meter data, and optionally, the preset time duration may be 30 hours or 100 hours. For example, in practical application, the electrical characteristic parameters corresponding to each electric meter may be prestored in the database, when the area to which the electric meter a, the electric meter B, and the electric meter C belong needs to be determined, the interface may be used to respectively call the electrical characteristic parameters of the electric meter A, B, C, such as voltage, current, power frequency, and the like, in a preset time period from the database, each electric meter and the corresponding electrical characteristic parameters may be used as a set of data to be processed, correspondingly, three sets of data to be processed corresponding to the electric meter a, the electric meter B, and the electric meter C may be obtained, and the three sets of data to be processed may be used as a set of data to be processed. At this time, it can be considered that three to-be-processed data sets are acquired. Correspondingly, the data group to be processed corresponding to the multiple electric meters to be processed within the preset time length can be obtained.
S120, for each data group to be processed, determining voltage jump data of two adjacent moments in the current data group to be processed, and recording jump moments when the voltage jump data are larger than a preset jump data threshold value to obtain a data jump set corresponding to the current data group to be processed.
When the voltage jump data in each to-be-processed data group needs to be determined, the voltage jump data in any one of the to-be-processed data groups can be used as the voltage jump data in the current to-be-processed data group to be processed, and one of the to-be-processed data groups can be used as the current to-be-processed data group to be explained. The voltage jump data refers to voltage fluctuation data of the ammeter, and voltage fluctuation values at two adjacent moments can be used as the voltage jump data. The preset jump data threshold is a preset voltage fluctuation data threshold, and may be 1V or 2V. The transition point in time can be understood as the point in time at which the amplitude of the voltage ripple exceeds a threshold value. The data hop-set may include a plurality of hop-instants.
Specifically, the fluctuation range of the voltage at the current time and the fluctuation range of the voltage at the previous time in the current data group to be processed, that is, the voltage jump data, may be extracted by using an algorithm, and then the voltage jump data may be compared with a preset jump data threshold by using the algorithm, and if the voltage jump data exceeds the preset jump data threshold, the current time corresponding to the voltage jump data may be used as the jump time in the data jump set. For example, the preset jump data threshold is 3V, the voltage fluctuation range of the time 1 relative to the previous time 2 is 8V, and at this time, 8V > 3V, the time 1 can be taken as the jump time. The function of recording voltage jump data can be added to the electric meter, and when the region to which the electric meter belongs needs to be identified, the voltage jump data and the corresponding jump time in the electric meter can be called by using the interface. Correspondingly, a plurality of jump moments corresponding to the current data group to be processed, namely a data jump set, can be obtained.
It should be noted that, voltage jump data of two adjacent moments in the current data group to be processed are determined, jump moments at which the voltage jump data are greater than a preset jump data threshold are recorded, a data jump set corresponding to the current data group to be processed is obtained, a difference value between a voltage value acquired at the current moment and a voltage value at the previous moment can be calculated, and if the difference value is greater than the preset jump data threshold, the current moment can be used as a jump moment.
It should also be noted that the dynamic range is increased in order to provide a larger ripple voltage swing. The preset transition data threshold may include a positive threshold and a negative threshold. Optionally, the positive threshold may be selected to be positive 3-5V according to the situation, and the negative threshold may be selected to be negative 3-5V according to the situation. The preset jump data threshold value can also be determined by technicians according to actual working conditions.
Optionally, the determining voltage jump data of two adjacent moments in the current data group to be processed and recording jump moments at which the voltage jump data is greater than a preset jump data threshold to obtain a data jump set corresponding to the current data group to be processed includes: calculating a voltage difference value of two adjacent moments as the voltage jump data; if the voltage jump data is not within the preset jump data threshold value range, determining the later moment in the two adjacent moments as the jump moment; and determining a data hopping set of the current data group to be processed based on each hopping moment.
It should be noted that, for the voltage value corresponding to each time in the current data group to be processed, an algorithm may be used to calculate a difference between the voltage value acquired at the current time and the voltage value at the previous time, and the difference may be used as voltage jump data, and then the difference may be compared with a preset jump data threshold by using the algorithm, and optionally, the preset jump data threshold may be positive 3-5V or negative 3-5V. Further, if the difference is greater than the positive threshold or less than the negative threshold, if the voltage jump data is negative 8V, it indicates that the voltage jump data is not within the preset jump data threshold range, and the current time may be recorded as the jump time. The current time at this time is also the latter of the two times at which the comparison is made. Correspondingly, a plurality of jump moments can be obtained, the jump moments can be integrated by utilizing an algorithm to generate a data jump set, and for example, the data jump set of the ammeter A can be marked as { t }1,t2,...,tnWhere t is1May represent a first voltage transition time in meter a, and n may be an integer greater than or equal to 1.
Specifically, the voltage difference between two adjacent moments can be calculated by using an algorithm, so that a plurality of voltage jump data can be obtained, each voltage jump data can be compared with a preset jump data threshold value by using the algorithm, and if the voltage jump data is not within the preset jump data threshold value range, the later moment of the two adjacent moments can be used as the jump moment. And if the voltage difference value is not within the preset jump data threshold range, the later moment of the two adjacent moments can be used as the jump moment. Accordingly, a plurality of hopping moments can be obtained, a data hopping set of the current data group to be processed can be considered to be obtained, and a plurality of data hopping sets can be obtained correspondingly. Therefore, the district to which the ammeter belongs can be divided according to the set division standard based on the time when the voltage jump data corresponding to each ammeter exceeds the threshold value, namely the jump time, and the accuracy of determining the district to which the ammeter belongs is improved.
S130, determining the similarity among the data hopping sets, and determining the electric meter groups belonging to the same region according to the similarity.
Wherein, the similarity can be used to characterize the similarity of the jump time. The electric meter group comprises a plurality of to-be-processed electric meters belonging to the same region, namely, the plurality of to-be-processed electric meters belonging to the same region can be used as one electric meter group.
In this embodiment, the similarity between the data transition sets may be calculated, for example, the corresponding similarity between every two data transition sets may be calculated by using an algorithm, for example, the voltage fluctuation of the electric meter a exceeds the threshold time set, that is, the data transition set is { t } t1,t2,...,tnThe data jump set of the ammeter B is { t }1,t2,...,tmAnd h, wherein m and n are integers greater than or equal to 1. The number of consistent jump moments in the two sets can be calculated by utilizing an algorithm, and further the similarity degree, namely the similarity degree, between the two sets can be calculated based on the number of consistent jump moments. Accordingly, the similarity between every two data hopping sets can be calculated. Further, based on the similarity, the data hopping sets can be clustered by using a clustering algorithm, information of a plurality of clusters can be obtained, correspondingly, electric meters corresponding to the data hopping sets in the same cluster can be classified into electric meters of the same region, and correspondingly, electric meter groups corresponding to the plurality of regions can be obtained.
It should be noted that, in order to improve the calculation efficiency and avoid redundancy of calculation, when determining the similarity between each data hopping set and determining the electricity meter group belonging to the same distribution area according to the similarity, one data hopping set a in each data hopping set may be used as a calculation starting calculation standard, the similarity between the remaining data hopping set and the data hopping set may be calculated, and after the similarity between the remaining data hopping set and the data hopping set is calculated, the evaluation of the data hopping set a may be considered to be finished. It should be further noted that the similarity between each two data hop sets can also be calculated in parallel by using a distributed algorithm.
Optionally, the determining the similarity between the data hopping sets and determining the electric meter groups belonging to the same region according to the similarity includes: determining the similarity between the reference data hopping set and each data hopping set by taking one data hopping set as the reference data hopping set; after traversing each data hopping set, classifying the data hopping set with the similarity greater than a preset similarity threshold value and the reference data hopping set into the same class, and obtaining the ammeter group belonging to the same transformer area.
The reference data hopping set can be understood as a starting data hopping set when calculating the similarity between the data hopping sets. For example, the data hopping set a can be used as a reference data hopping set, and the similarities between a and the remaining data hopping sets can be calculated respectively. It should be noted that any one of the data hopping sets can be used as a reference data hopping set to process, so that the similarity between every two data hopping sets in each data hopping set can be calculated, and it is ensured that the calculation is not repeated and not omitted. The preset similarity threshold may be a preset, similarity value, and optionally, the preset similarity threshold may be a positive number close to and less than 1, for example, 0.95.
It should be noted that one of the data hopping sets may be used as a reference data hopping set, and then an algorithm may be used to calculate the similarity between the reference data hopping set and each of the other data hopping sets, and then the similarity may be compared with a preset similarity threshold value by using the algorithm, if the similarity is greater than the preset similarity threshold value, the data hopping set corresponding to the similarity and the reference data hopping set may be classified as the same, that is, the electric meters corresponding to the two data hopping sets may also be considered to belong to the same station area. For example, when the similarity γ between the electric meter a and the electric meter B is greater than or equal to the preset similarity threshold δ, it may be determined that the electric meter a and the electric meter B belong to the same region, and the calculation formula may be as follows:
Figure BDA0003384290460000091
it should be noted that, the platform area clustering device may also be used to perform similarity calculation once on the data jump sets of every two electric meters, and the operation is repeated in a cycle until all the electric meters are evaluated and calculated at least once, and further, each electric meter group and the corresponding platform area may be displayed on the device after being integrated by using an algorithm.
Specifically, one of the data hopping sets may be used as a reference data hopping set, and then the similarity between the reference data hopping set and each of the other data hopping sets may be calculated by using an algorithm, and after traversing each of the other data hopping sets, the data hopping set with the similarity greater than a preset similarity threshold may be classified as the reference data hopping set, that is, the electricity meters corresponding to the data hopping set and the reference data hopping set may belong to the same station area, and accordingly, the electricity meter group belonging to the same station area may be obtained.
It should be noted that, the similarity between the reference data hopping set and each data hopping set is determined, the number of consistent hopping times in each two data hopping sets can be calculated, and correspondingly, the similarity between the two data hopping sets can be calculated based on the number of consistent hopping times.
Optionally, the determining the similarity between the reference data hopping set and each data hopping set includes: determining the intersection and union of the current data hopping set and the reference data hopping set aiming at each data hopping set; and determining the similarity between the reference jump data and the current jump data set according to the number of elements corresponding to the intersection and the number of elements corresponding to the union.
It should be noted that, when the similarity between each data hopping set and the reference data hopping set needs to be determined, the similarity between any data hopping set and the reference data hopping set can be determined as the similarity between the current data hopping set and the reference data hopping set, and one of the data hopping sets is taken as the current data hopping set to be described.
Specifically, an intersection and a union corresponding to the jump time in the current data jump set and the reference data jump set may be calculated by using an algorithm, and then, the corresponding similarity may be determined based on the intersection and the union. For example, the data hopping set A of the electricity meter 1 is { t }1,t2,...,tnThe data hopping set B of the ammeter 2 is { t }1,t2,...,tmAnd h, wherein m and n are integers greater than or equal to 1. Let α be a number of elements C in the set C after intersection of the set a and the set B ═ a ∞ B; the number of elements D in the set D after the set a and the set B are merged can be written as β; it can be noted that gamma is a similarity value of the regions to which the electric meters 1 and 2 belong,
Figure BDA0003384290460000111
after the similarity gamma is calculated, whether the gamma is larger than or equal to a preset similarity threshold value delta is determined, and if the gamma is larger than or equal to the delta, the electric meters 1 and 2 can be judged to belong to the same distribution area.
S140, if the electric meters to be processed in the electric meter group comprise the station area identification, the station area identification is used as a target station area of the electric meter group.
The station area identifier may be understood as unique identification information corresponding to the station area, may be a tag, or may be any information that can represent the unique identifier of the station area. Based on the marked district identification in the electricity meter, it can be determined to which district the electricity meter belongs. The target region refers to region information to which the ammeter belongs.
In this embodiment, whether the electric meters to be processed in the electric meter group have the preset zone identifiers or not may be detected by using an algorithm, and if the zone identifiers exist, the zone identifiers may be used as the zone identifiers of the zones to which the electric meters to be processed belong in the electric meter group, that is, may also be used as the target zone of the electric meter group.
Optionally, if the to-be-processed electricity meters in the electricity meter group include a station area identifier, identifying the station area as a target station area of the electricity meter group, including: and if one to-be-processed electric meter comprising the station area identification exists in the electric meter group, taking the station area identification as a target station area of the electric meter group.
It should be noted that, if there is a meter to be processed in the meter group that includes the station area identifier, the station area identifier may be used as the target station area of the meter group.
It should be further noted that, if more than one to-be-processed electric meters including the station area identifier exist in the electric meter group, and the station area identifiers are different, it may be indicated that at least two to-be-processed electric meters exist in the electric meter group and may not belong to the same station area, at this time, the to-be-processed array of the to-be-processed electric meters may be re-collected, and the station area corresponding to each to-be-processed electric meter may be re-determined.
It should be further noted that, if there is no to-be-processed electric meter including the station area identifier in the electric meter group, it may be stated that which station area each to-be-processed electric meter in the electric meter group belongs to cannot be determined according to the station area identifier, and at this time, the to-be-processed array of the to-be-processed electric meters may also be re-collected, and the station area corresponding to each to-be-processed electric meter may be re-determined.
Optionally, if at least one to-be-processed electric meter including a station area identifier exists in the electric meter group, and the station area identifiers are different, re-collecting the to-be-processed arrays of the to-be-processed electric meters in the electric meter group; or, if the electric meter group does not have the electric meters to be processed including the station area identification, re-collecting the array to be processed of each electric meter to be processed in the electric meter group; and repeatedly executing and determining voltage jump data of two adjacent moments in the current data group to be processed based on the re-collected data group to be processed, determining a data jump set, and determining a target station area based on the data jump set.
Specifically, in order to improve the accuracy of determining the region to which the electric meter belongs, the electric meters to be processed including the region identifier in the electric meter group can be counted by using an algorithm, and if the electric meter group includes the region identifier and the number of the electric meters to be processed with different region identifiers is greater than 1, the array to be processed of each electric meter to be processed in the electric meter group can be collected again; if the number of the to-be-processed electric meters including the station area identifier in the electric meter group is 0, that is, the to-be-processed electric meters including the station area identifier do not exist in the electric meter group, the to-be-processed array of each to-be-processed electric meter in the electric meter group can also be collected again. Further, the voltage jump data of two adjacent moments in the current data group to be processed can be repeatedly determined based on the newly collected data group to be processed, and a data jump set is determined, so that the target station area of the ammeter group can be newly determined based on the data jump set.
It should be noted that, in order to improve the convenience of determining the target station area to which the electric meter belongs, a corresponding station area identifier may be added to some to-be-processed electric meter data in each station area in advance, so that the station area information to which each to-be-processed electric meter belongs may be determined based on the technical scheme.
Optionally, at least one to-be-processed electric meter belonging to each region is predetermined, and a region identification mark is performed on the to-be-processed electric meter, so that after the electric meter group belonging to the same region is determined according to the similarity of each data hopping set, a target region corresponding to each to-be-processed electric meter in the electric meter group is determined according to the region identification in the electric meter group.
Specifically, at least one to-be-processed electric meter can be predetermined in each region by using an algorithm, and then, the to-be-processed electric meters can be marked with region identifiers by using the algorithm, for example, corresponding region identifiers can be given to the to-be-processed electric meters, so that at least one to-be-processed electric meter including the region identifier can be ensured to exist in each region. Correspondingly, after the similarity of each data jumping set is determined to determine the electric meter groups belonging to the same region, the target region corresponding to each electric meter to be processed in the electric meter group can be determined according to the region identification corresponding to the electric meter to be processed in the electric meter group.
According to the technical scheme of the embodiment of the invention, voltage jump data of two adjacent moments in the current data group to be processed are determined by acquiring the data group to be processed of a plurality of electric meters to be processed within a preset time length, and the jump moment of which the voltage jump data is greater than a preset jump data threshold value is recorded, so that a data jump set corresponding to the current data group to be processed is obtained; determining the similarity among the data hopping sets, and determining the electric meter groups belonging to the same region according to the similarity; if the to-be-processed electric meters in the electric meter group comprise the station area identification, the station area identification is used as a target station area of the electric meter group, the problems of high construction cost and low efficiency caused by the fact that the station area to which the electric meters belong is determined on site periodically by manpower in the prior art are solved, high-precision station area division is carried out on the electric meters at the moment that the voltage fluctuation range of the electric meters exceeds a threshold value, and then the information of the station area to which each electric meter corresponds is obtained, the accuracy and the convenience for determining the station area to which the electric meters belong are improved, meanwhile, the participation of a manual or station area detection instrument is avoided, the manpower and material resource cost is greatly reduced, the accurate management of an electric network is also achieved, and the technical effect that the electric network can operate safely and stably is achieved.
Example two
As an alternative embodiment of the foregoing embodiment, fig. 2 is a schematic diagram of a method for determining a target platform area to which an electric meter belongs according to a second embodiment of the present invention. Specifically, the following details can be referred to.
It should be noted that, the function of the electric meter may be improved, and the function of recording the time when the voltage fluctuation range exceeds the threshold value is added to the electric meter, so as to provide data required for determining the region to which the electric meter belongs, so that the region identification device implemented based on the technical scheme can quickly complete the region division task and the region identification task according to the data.
For example, as shown in fig. 2, after the assignment of the task in the region to which the electric meters belong is determined, each electric meter uploads the time data of which the voltage fluctuation range exceeds the threshold value to the database, and the time data of which the voltage fluctuation range exceeds the threshold value can be used as a data jump set. It should be noted that the difference between the voltage value acquired at the current time and the voltage value acquired at the previous time is calculated, the difference is compared with the threshold, and if the difference is greater than the positive threshold or smaller than the negative threshold, the current time is recorded as the time when the voltage fluctuation amplitude exceeds the threshold. Optionally, the positive threshold may be selected to be positive 3-5V according to the situation, and the negative threshold may be selected to be negative 3-5V according to the situation.
Further, the station area identification device can read the data hopping sets in the database by using the interface, further determine the similarity among the data hopping sets, and determine the electric meter groups belonging to the same station area according to the similarity. For example, electricity meters1 the set of moments A when the voltage fluctuation exceeds the threshold value is t1,t2,...,tnThe set B of moments when the voltage fluctuation of the ammeter 2 exceeds the threshold value is { t }1,t2,...,tmWhere t is1Can be expressed as the 1 st time when the voltage fluctuation in the set exceeds the threshold value, and m and n are integers which are more than or equal to 1.
Optionally, α may be denoted as a ═ B of the number of elements C in the set C after the intersection of the set a and the set B;
the number of elements D in the set D after the set a and the set B are merged can be written as β;
it can be noted that gamma is a similarity value of the regions to which the electric meters 1 and 2 belong,
Figure BDA0003384290460000141
further, when γ is equal to or greater than the threshold δ (δ is a positive number close to and less than 1, such as 0.95), it is determined that the electric meter 1 and the electric meter 2 belong to the same station, that is:
Figure BDA0003384290460000142
further, the platform area identification device can perform platform area division evaluation on every two pieces of intelligent electric meter data, and the platform area identification device can perform cyclic reciprocating until all the electric meters are evaluated at least once, and platform area division results can be displayed on the device after integration.
According to the technical scheme of the embodiment of the invention, voltage jump data of two adjacent moments in the current data group to be processed are determined by acquiring the data group to be processed of a plurality of electric meters to be processed within a preset time length, and the jump moment of which the voltage jump data is greater than a preset jump data threshold value is recorded, so that a data jump set corresponding to the current data group to be processed is obtained; determining the similarity among the data hopping sets, and determining the electric meter groups belonging to the same region according to the similarity; if the to-be-processed electric meters in the electric meter group comprise the station area identification, the station area identification is used as a target station area of the electric meter group, the problems of high construction cost and low efficiency caused by the fact that the station area to which the electric meters belong is determined on site periodically by manpower in the prior art are solved, high-precision station area division is carried out on the electric meters at the moment that the voltage fluctuation range of the electric meters exceeds a threshold value, and then the information of the station area to which each electric meter corresponds is obtained, the accuracy and the convenience for determining the station area to which the electric meters belong are improved, meanwhile, the participation of a manual or station area detection instrument is avoided, the manpower and material resource cost is greatly reduced, the accurate management of an electric network is also achieved, and the technical effect that the electric network can operate safely and stably is achieved.
EXAMPLE III
Fig. 3 is a block diagram of a device for determining a target distribution area to which an electric meter belongs according to a fourth embodiment of the present invention. The device includes: a pending data group obtaining module 310, a data jump set obtaining module 320, an electric energy group determining module 330, and a target station area determining module 340.
The to-be-processed data set acquisition module 310 is configured to acquire to-be-processed data sets of a plurality of to-be-processed electric meters within a preset time duration; the data group to be processed comprises voltage data at a plurality of discrete moments; a data hopping set obtaining module 320, configured to determine, for each to-be-processed data group, voltage hopping data at two adjacent moments in a current to-be-processed data group, and record a hopping moment at which the voltage hopping data is greater than a preset hopping data threshold, so as to obtain a data hopping set corresponding to the current to-be-processed data group; the electric meter group determining module 330 is configured to determine similarity between the data hopping sets, and determine electric meter groups belonging to the same region according to the similarity; the ammeter group comprises a plurality of to-be-processed ammeters belonging to the same region; the target platform area determining module 340 is configured to identify the platform area as a target platform area of the electricity meter group if the electricity meters to be processed in the electricity meter group include a platform area identifier.
According to the technical scheme of the embodiment of the invention, voltage jump data of two adjacent moments in the current data group to be processed are determined by acquiring the data group to be processed of a plurality of electric meters to be processed within a preset time length, and the jump moment of which the voltage jump data is greater than a preset jump data threshold value is recorded, so that a data jump set corresponding to the current data group to be processed is obtained; determining the similarity among the data hopping sets, and determining the electric meter groups belonging to the same region according to the similarity; if the to-be-processed electric meters in the electric meter group comprise the station area identification, the station area identification is used as a target station area of the electric meter group, the problems of high construction cost and low efficiency caused by the fact that the station area to which the electric meters belong is determined on site periodically by manpower in the prior art are solved, high-precision station area division is carried out on the electric meters at the moment that the voltage fluctuation range of the electric meters exceeds a threshold value, and then the information of the station area to which each electric meter corresponds is obtained, the accuracy and the convenience for determining the station area to which the electric meters belong are improved, meanwhile, the participation of a manual or station area detection instrument is avoided, the manpower and material resource cost is greatly reduced, the accurate management of an electric network is also achieved, and the technical effect that the electric network can operate safely and stably is achieved.
On the basis of the foregoing apparatus, optionally, the data transition set obtaining module 320 includes a voltage transition data determining unit, a transition time determining unit, and a data transition set determining unit.
The voltage jump data determining unit is used for calculating a voltage difference value of two adjacent moments as the voltage jump data;
a jump moment determining unit, configured to determine, if the voltage jump data is not within the preset jump data threshold range, a later moment of the two adjacent moments as the jump moment;
and the data hopping set determining unit is used for determining the data hopping set of the current data group to be processed based on each hopping moment.
On the basis of the above device, optionally, the electric meter group determining module 330 includes a similarity determining unit and an electric meter group obtaining unit.
The similarity determining unit is used for determining the similarity between the reference data hopping set and each data hopping set by taking one data hopping set as the reference data hopping set;
and the ammeter group acquisition unit is used for classifying the data hopping set with the similarity larger than a preset similarity threshold value and the reference data hopping set into the same type after traversing each data hopping set, so as to obtain the ammeter group belonging to the same transformer area.
On the basis of the above device, optionally, the similarity determining unit includes an intersection and union determination subunit and a similarity determination subunit.
The intersection and union determining subunit is used for determining the intersection and union of the current data hopping set and the reference data hopping set aiming at each data hopping set;
and the similarity determining subunit is configured to determine, according to the number of elements corresponding to the intersection and the number of elements corresponding to the union, a similarity between the reference jump data and the current jump data set.
On the basis of the foregoing apparatus, optionally, the target station area determining module 340 includes a target station area determining unit.
And the target station area determining unit is used for taking the station area identification as the target station area of the electric meter group if one to-be-processed electric meter including the station area identification exists in the electric meter group.
On the basis of the above device, optionally, the device further includes: a data reacquisition module; the data reacquisition module comprises a reacquisition unit for the array to be processed and a data jump set reacquisition unit.
The system comprises a to-be-processed array re-acquisition unit, a processing unit and a processing unit, wherein the to-be-processed array re-acquisition unit is used for re-acquiring a to-be-processed array of each to-be-processed ammeter in the ammeter group if at least one to-be-processed ammeter comprising a station area identifier exists in the ammeter group and the station area identifiers are different; or the like, or, alternatively,
if the to-be-processed electric meters including the station area identification do not exist in the electric meter group, re-collecting the to-be-processed arrays of the to-be-processed electric meters in the electric meter group;
and the data hopping set reacquisition unit is used for repeatedly executing and determining voltage hopping data of two adjacent moments in the current data group to be processed based on the reacquired data group to be processed, determining a data hopping set and determining a target station area based on the data hopping set.
On the basis of the above device, optionally, the device further includes: and the electric meter to be processed is a predetermined module.
The device comprises a to-be-processed ammeter predetermining module, a to-be-processed ammeter predetermining module and a to-be-processed ammeter predetermining module, wherein the to-be-processed ammeter predetermining module is used for predetermining at least one to-be-processed ammeter belonging to each ammeter, marking district identification marks on the to-be-processed ammeter, determining ammeter groups belonging to the same district after determining the similarity of each data jumping set, and determining a target district corresponding to each to-be-processed ammeter in each ammeter group according to the district identification in the ammeter groups.
The device for determining the target platform area to which the ammeter belongs, provided by the embodiment of the invention, can execute the method for determining the target platform area to which the ammeter belongs, provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
Example four
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary electronic device 40 suitable for use in implementing embodiments of the present invention. The electronic device 40 shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 4, electronic device 40 is embodied in the form of a general purpose computing device. The components of the electronic device 60 may include, but are not limited to: one or more processors or processing units 401, a system memory 402, and a bus 403 that couples the various system components (including the system memory 402 and the processing unit 401).
Bus 403 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 40 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 40 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 402 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)404 and/or cache memory 405. The electronic device 40 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 406 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 403 by one or more data media interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 408 having a set (at least one) of program modules 407 may be stored, for example, in memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 407 generally perform the functions and/or methods of the described embodiments of the invention.
The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboard, pointing device, display 410, etc.), with one or more devices that enable a user to interact with the electronic device 40, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 40 to communicate with one or more other computing devices. Such communication may be through input/output (I/O) interface 411. Also, the electronic device 40 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 412. As shown, the network adapter 412 communicates with the other modules of the electronic device 40 over the bus 403. It should be appreciated that although not shown in FIG. 4, other hardware and/or software modules may be used in conjunction with electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 401 executes various functional applications and data processing by running a program stored in the system memory 402, for example, to implement the method for determining the target region to which the electricity meter belongs according to the embodiment of the present invention.
EXAMPLE five
The fifth embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are used for performing a method for determining a target platform area to which an electricity meter belongs. The method comprises the following steps:
acquiring a to-be-processed data set of a plurality of to-be-processed electric meters within a preset time length; the data group to be processed comprises voltage data at a plurality of discrete moments;
for each data group to be processed, determining voltage jump data at two adjacent moments in the current data group to be processed, and recording jump moments at which the voltage jump data are greater than a preset jump data threshold value to obtain a data jump set corresponding to the current data group to be processed;
determining the similarity among the data hopping sets, and determining the electric meter groups belonging to the same region according to the similarity; the ammeter group comprises a plurality of to-be-processed ammeters belonging to the same region;
and if the to-be-processed electric meters in the electric meter group comprise the station area identification, taking the station area identification as a target station area of the electric meter group.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for determining a target region to which an electricity meter belongs, comprising:
acquiring a to-be-processed data set of a plurality of to-be-processed electric meters within a preset time length; the data group to be processed comprises voltage data at a plurality of discrete moments;
for each data group to be processed, determining voltage jump data at two adjacent moments in the current data group to be processed, and recording jump moments at which the voltage jump data are greater than a preset jump data threshold value to obtain a data jump set corresponding to the current data group to be processed;
determining the similarity among the data hopping sets, and determining the electric meter groups belonging to the same region according to the similarity; the ammeter group comprises a plurality of to-be-processed ammeters belonging to the same region;
and if the to-be-processed electric meters in the electric meter group comprise the station area identification, taking the station area identification as a target station area of the electric meter group.
2. The method according to claim 1, wherein the determining voltage jump data at two adjacent time points in a current data group to be processed and recording jump time points at which the voltage jump data are greater than a preset jump data threshold to obtain a data jump set corresponding to the current data group to be processed comprises:
calculating a voltage difference value of two adjacent moments as the voltage jump data;
if the voltage jump data is not within the preset jump data threshold value range, determining the later moment in the two adjacent moments as the jump moment;
and determining a data hopping set of the current data group to be processed based on each hopping moment.
3. The method of claim 1, wherein the determining the similarity between the data hopping sets and determining the electricity meters belonging to the same region according to the similarity comprises:
determining the similarity between the reference data hopping set and each data hopping set by taking one data hopping set as the reference data hopping set;
after traversing each data hopping set, classifying the data hopping set with the similarity greater than a preset similarity threshold value and the reference data hopping set into the same class, and obtaining the ammeter group belonging to the same transformer area.
4. The method of claim 3, wherein determining the similarity between the reference data hop-set and each data hop-set comprises:
determining the intersection and union of the current data hopping set and the reference data hopping set aiming at each data hopping set;
and determining the similarity between the reference jump data and the current jump data set according to the number of elements corresponding to the intersection and the number of elements corresponding to the union.
5. The method of claim 1, wherein identifying the region as the target region of the electricity meter group if the electricity meters to be processed in the electricity meter group include the region identification comprises:
and if one to-be-processed electric meter comprising the station area identification exists in the electric meter group, taking the station area identification as a target station area of the electric meter group.
6. The method of claim 1, further comprising:
if at least one to-be-processed electric meter comprising a station area identifier exists in the electric meter group and the station area identifiers are different, re-collecting the to-be-processed arrays of the to-be-processed electric meters in the electric meter group; or the like, or, alternatively,
if the to-be-processed electric meters including the station area identification do not exist in the electric meter group, re-collecting the to-be-processed arrays of the to-be-processed electric meters in the electric meter group;
and repeatedly executing and determining voltage jump data of two adjacent moments in the current data group to be processed based on the re-collected data group to be processed, determining a data jump set, and determining a target station area based on the data jump set.
7. The method of claim 1, further comprising:
at least one to-be-processed electric meter belonging to each region is predetermined, region identification marking is carried out on the to-be-processed electric meters, and after the electric meter group belonging to the same region is determined according to the similarity of each data jumping set, a target region corresponding to each to-be-processed electric meter in the electric meter group is determined according to the region identification in the electric meter group.
8. An apparatus for determining a target site to which an electricity meter belongs, comprising:
the system comprises a to-be-processed data set acquisition module, a to-be-processed data set acquisition module and a to-be-processed data set acquisition module, wherein the to-be-processed data set acquisition module is used for acquiring to-be-processed data sets of a plurality of to-be-processed electric meters within a preset time length; the data group to be processed comprises voltage data at a plurality of discrete moments;
the data hopping set acquisition module is used for determining voltage hopping data of two adjacent moments in the current data group to be processed aiming at each data group to be processed, recording the hopping moment when the voltage hopping data is greater than a preset hopping data threshold value, and obtaining a data hopping set corresponding to the current data group to be processed;
the electric meter group determining module is used for determining the similarity among the data hopping sets and determining electric meter groups belonging to the same region according to the similarity; the ammeter group comprises a plurality of to-be-processed ammeters belonging to the same region;
and the target platform area determining module is used for identifying the platform area as the target platform area of the ammeter group if the ammeter to be processed in the ammeter group comprises a platform area identification.
9. An electronic device, characterized in that the device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of determining a target zone to which an electricity meter belongs as recited in any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of determining a target zone to which an electricity meter belongs according to any one of claims 1 to 7.
CN202111444146.1A 2021-11-30 2021-11-30 Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium Pending CN114123190A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111444146.1A CN114123190A (en) 2021-11-30 2021-11-30 Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111444146.1A CN114123190A (en) 2021-11-30 2021-11-30 Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN114123190A true CN114123190A (en) 2022-03-01

Family

ID=80368620

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111444146.1A Pending CN114123190A (en) 2021-11-30 2021-11-30 Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN114123190A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116502922A (en) * 2023-06-26 2023-07-28 武汉创星空间科技发展有限公司 Power grid stability analysis system based on group intelligent algorithm

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108805457A (en) * 2018-06-19 2018-11-13 宁波迦南智能电气股份有限公司 A kind of electric energy meter taiwan area recognition methods of high accuracy
CN109525338A (en) * 2018-12-30 2019-03-26 国网北京市电力公司 Network node recognition methods and device
CN109581130A (en) * 2019-01-18 2019-04-05 国家电网有限公司 A kind of voltage curve similarity calculating method for considering voltage regulating measures and influencing
CN110212518A (en) * 2019-04-30 2019-09-06 北京市腾河智慧能源科技有限公司 The recognition methods of platform area, computer-readable storage medium
CN111625991A (en) * 2020-05-20 2020-09-04 国网河北省电力有限公司电力科学研究院 Low-voltage distribution network topology verification method
CN112186740A (en) * 2020-09-09 2021-01-05 北京市腾河电子技术有限公司 Method and system for identifying station area for small-load user and storage medium
CN112804292A (en) * 2020-12-22 2021-05-14 珠海中慧微电子有限公司 Ammeter region identification method
CN112804318A (en) * 2021-01-04 2021-05-14 珠海中慧微电子有限公司 Ammeter region identification method
CN113572167A (en) * 2021-09-26 2021-10-29 江苏智臻能源科技有限公司 Low-voltage transformer area accurate branch identification method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108805457A (en) * 2018-06-19 2018-11-13 宁波迦南智能电气股份有限公司 A kind of electric energy meter taiwan area recognition methods of high accuracy
CN109525338A (en) * 2018-12-30 2019-03-26 国网北京市电力公司 Network node recognition methods and device
CN109581130A (en) * 2019-01-18 2019-04-05 国家电网有限公司 A kind of voltage curve similarity calculating method for considering voltage regulating measures and influencing
CN110212518A (en) * 2019-04-30 2019-09-06 北京市腾河智慧能源科技有限公司 The recognition methods of platform area, computer-readable storage medium
CN111625991A (en) * 2020-05-20 2020-09-04 国网河北省电力有限公司电力科学研究院 Low-voltage distribution network topology verification method
CN112186740A (en) * 2020-09-09 2021-01-05 北京市腾河电子技术有限公司 Method and system for identifying station area for small-load user and storage medium
CN112804292A (en) * 2020-12-22 2021-05-14 珠海中慧微电子有限公司 Ammeter region identification method
CN112804318A (en) * 2021-01-04 2021-05-14 珠海中慧微电子有限公司 Ammeter region identification method
CN113572167A (en) * 2021-09-26 2021-10-29 江苏智臻能源科技有限公司 Low-voltage transformer area accurate branch identification method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116502922A (en) * 2023-06-26 2023-07-28 武汉创星空间科技发展有限公司 Power grid stability analysis system based on group intelligent algorithm
CN116502922B (en) * 2023-06-26 2023-09-05 武汉创星空间科技发展有限公司 Power grid stability analysis system based on group intelligent algorithm

Similar Documents

Publication Publication Date Title
CN110231528B (en) Transformer household variation common knowledge identification method and device based on load characteristic model library
CN112181835A (en) Automatic testing method and device, computer equipment and storage medium
CN114123190A (en) Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium
CN113434542B (en) Data relationship identification method and device, electronic equipment and storage medium
CN109582906B (en) Method, device, equipment and storage medium for determining data reliability
CN105868287B (en) Multi-source data-based WAMS application system data integration method
CN111914101B (en) File association relationship abnormality identification method and device and computer equipment
CN114694130A (en) Method and device for detecting telegraph poles and pole numbers along railway based on deep learning
CN113344450A (en) Low-voltage station area subscriber identification method, system, terminal equipment and storage medium
CN117236022A (en) Training method and application method of residual life prediction model of transformer and electronic equipment
CN108830302B (en) Image classification method, training method, classification prediction method and related device
CN115561700A (en) Method and device for analyzing metering standard of direct current electric energy meter
CN110457705B (en) Method, device, equipment and storage medium for processing point of interest data
CN114876731A (en) Method, system, equipment and medium for checking wind turbine generator in inefficient operation of wind farm
CN111476316B (en) Method and system for clustering mean value of power load characteristic data based on cloud computing
CN114037364A (en) Virtual power plant operation risk detection method based on artificial intelligence
CN114328616A (en) Statistical method and device for power line loss detail information combining RPA and AI
CN112258149A (en) Method, device, equipment and storage medium for determining circuit switchable power supply rate
CN113591787A (en) Method, device, equipment and storage medium for identifying optical fiber link component
CN105405068A (en) Power data detection method and apparatus
CN111162968A (en) Cloud resource use efficiency metering method and device, electronic equipment and storage medium
CN116739532B (en) Energy project management method, system, terminal equipment and storage medium
CN114462901B (en) Active power distribution network electric energy quality evaluation method and device, terminal and storage medium
CN111400695B (en) Equipment fingerprint generation method, device, equipment and medium
CN111752984B (en) Information processing method, device and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination