CN112364755A - Big data-based power consumption monitoring and management system for smart electric meter - Google Patents

Big data-based power consumption monitoring and management system for smart electric meter Download PDF

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CN112364755A
CN112364755A CN202011239329.5A CN202011239329A CN112364755A CN 112364755 A CN112364755 A CN 112364755A CN 202011239329 A CN202011239329 A CN 202011239329A CN 112364755 A CN112364755 A CN 112364755A
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不公告发明人
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Abstract

The invention discloses a big data-based power consumption monitoring and management system of a smart electric meter, which comprises an area division module, a power consumption acquisition module, a power consumption analysis module, a data push module, an image acquisition module, an image processing module, a feature extraction module, an analysis server, a position positioning module, a manual processing module and a storage database, wherein the area division module is used for dividing a power consumption area of the smart electric meter; the invention calculates the daily electricity consumption cost of each family in each residential building area by analyzing the daily electricity consumption of each family in each residential building area, and pushes the electricity consumption cost to the corresponding family user display terminal, so that the user can better manage the own electricity consumption; and simultaneously, the internal images of the electric meter boxes of the households in each residential building area are collected, the conditions in the electric meter boxes of the households in each residential building area are analyzed, the positions of the electric meter boxes of the households with the conditions in the electric meter boxes are positioned, the corresponding conditions are processed and maintained, and the service requirements of users in daily use are met.

Description

Big data-based power consumption monitoring and management system for smart electric meter
Technical Field
The invention relates to the field of ammeter electricity utilization monitoring management, in particular to a smart ammeter electricity utilization monitoring management system based on big data.
Background
The electric meter is used as terminal equipment for intelligent electricity utilization, along with the rapid development of an intelligent power grid, the requirements for the intellectualization of the electric meter are higher and higher, and the requirements are in line with the development trend of the current intelligent era, so that the intellectualization of the electric meter is reflected more, and greater contribution is made to energy conservation and emission reduction.
In the prior art, a smart meter is widely applied to daily life of people, but the prior art still has some non-negligible problems. In the prior art, a user can only check the current power utilization condition from an electric meter or a local power supply center, and cannot check the power utilization on the same day in real time, so that the user cannot timely master the power utilization information and state, the power utilization of the user can not be managed better, unnecessary energy waste is caused, the experience of the user is reduced, meanwhile, in the prior art, the safety monitoring of the electric meter box mostly adopts a manual monitoring mode, the safety monitoring and maintenance of the electric meter box of each household are carried out through manual work, a large amount of manpower resources are wasted, the monitoring system has the characteristics of long monitoring period and low working efficiency, the service requirement of the user in daily use can not be met, in order to solve the problems, the monitoring and management system for the intelligent electric meter based on big data is designed.
Disclosure of Invention
The invention aims to provide a big data-based power consumption monitoring and management system for a smart electric meter, which comprehensively analyzes the daily power consumption of each family in each residential building area through a power consumption acquisition module and a power consumption analysis module, calculates the daily power consumption cost of each family in each residential building area through an analysis server, and pushes the daily power consumption cost to a corresponding household user display terminal; the method has the advantages that the images in the electric meter boxes of all families in all residential building areas are collected simultaneously, all conditions in the electric meter boxes of all families in all residential building areas are analyzed, the positions of the electric meter boxes of all families with conditions in the electric meter boxes are located, relevant personnel carry out corresponding condition processing and maintenance according to the positions of the electric meter boxes of all families, and the problems existing in the background technology are solved.
The purpose of the invention can be realized by the following technical scheme:
a big data-based power consumption monitoring and management system for a smart electric meter comprises an area division module, a power consumption acquisition module, a power consumption analysis module, a data push module, an image acquisition module, an image processing module, a feature extraction module, an analysis server, a position positioning module, a manual processing module and a storage database;
the analysis server is respectively connected with the power consumption analysis module, the data pushing module, the feature extraction module, the position positioning module and the storage database, the storage database is respectively connected with the area division module and the power consumption analysis module, the power consumption acquisition module is connected with the power consumption analysis module, the image processing module is respectively connected with the image acquisition module and the feature extraction module, and the manual processing module is connected with the position positioning module;
the region division module is used for dividing each residential building region in a community, numbering each residential building in the community sequentially according to the sequence, wherein the numbering is 1,2, thei(ai1,ai2,...,aij,...,aim),aijThe serial number of the j family in the ith residential building area is represented, and the serial number set of each family in each residential building area is sent to the storage database;
the power consumption acquisition module is used for acquiring the power consumption of each family in each residential building area, acquiring the total power consumption of each family in each residential building area in real time by accessing a power grid system, counting the acquired total power consumption of each family in each residential building area, and forming a total power consumption set W of each family in each residential building areai(wi1,wi2,...,wij,...,wim),wijThe total power consumption of the j family in the ith residential building area is represented, and the total power consumption of each family in each residential building area is sent to a power consumption analysis module in a set manner;
the power consumption analysis module is used for receiving the total power consumption set of each family in each residential building area sent by the power consumption acquisition module, extracting the historical total power consumption of each family in each residential building area stored in the storage database, calculating the power consumption of each family in each residential building area on the same day, counting the power consumption of each family in each residential building area on the same day, and forming a power consumption set delta W of each family in each residential building area on the same dayi(Δwi1,Δwi2,...,Δwij,...,Δwim),ΔwijThe current day electricity consumption of the j family in the ith residential building area is represented, and the current day electricity consumption set of each family in each residential building area is sent to an analysis server;
the analysis server is used for receiving the electricity consumption collection of each household in each residential building area on the same day, which is sent by the electricity consumption analysis module, extracting the electricity fee unit price of residential life electricity in the national electricity fee charging standard stored in the storage database, calculating the electricity consumption cost of each household in each residential building area on the same day, counting the electricity consumption cost of each household in each residential building area on the same day, and sending the electricity consumption cost of each household in each residential building area on the same day to the data push module;
the data pushing module is used for receiving the same-day electricity consumption cost of each family in each residential building area sent by the analysis server and pushing the same-day electricity consumption cost of each family in each residential building area to the corresponding home user display terminal in a message sending mode;
the image acquisition module is used for acquiring images inside the electric meter boxes of each family in each residential building area, and sending the acquired images inside the electric meter boxes of each family in each residential building area to the image processing module;
the image processing module is used for receiving the images inside the electric meter boxes of the households in each residential building area sent by the image acquisition module, normalizing the received images inside the electric meter boxes of the households to obtain images with consistent size and no deflection angle, segmenting the images inside the electric meter boxes of the households, selecting the minimum area of the electric meter boxes, which wraps the electric meter circuit, removing the images outside the minimum area of the electric meter boxes, strengthening the high-frequency components of the images in the minimum area of the electric meter boxes, counting the processing images inside the electric meter boxes of the households in each residential building area, and sending the processed images inside the electric meter boxes of the households in each residential building area to the feature extraction module;
the characteristic extraction module is used for receiving the processed internal images of the electric meter boxes of the households in each residential building area, which are sent by the image processing module, extracting the characteristics of the received internal images of the electric meter boxes of the households in each residential building area, extracting the internal image characteristics of the electric meter boxes of the households in each residential building area, and sending the extracted internal image characteristics of the electric meter boxes of the households in each residential building area to the analysis server;
the analysis server is used for receiving the image characteristics inside the electric meter boxes of the households in each residential building area sent by the characteristic extraction module, extracting the standard image characteristics of all conditions in the electric meter boxes stored in the storage database, comparing the received image characteristics inside the electric meter boxes of the households in each residential building area with the stored standard image characteristics of all conditions in the electric meter boxes, counting the similarity between the image characteristics inside the electric meter boxes of the households in each residential building area and the standard image characteristics of all conditions in the electric meter boxes, screening the standard image characteristics of the conditions in the electric meter boxes with the maximum similarity, and dividing the households in each residential building area into household number sets of household numbers of the household with the private cable pulling condition in the electric meter boxes according to the difference between the images of the conditions in the electric meter boxes of the households in each residential building area, The method comprises the steps that a position positioning module is used for sending a set of numbers of each household with an electric wire damage condition in an electric meter box, a set of numbers of each household with an electric wire falling condition in the electric meter box and a set of numbers of each household without conditions in the electric meter box;
the position positioning module is used for receiving the number set of each family with the private wire pulling condition, the wire damage condition and the wire falling condition in the ammeter box sent by the analysis server, positioning the ammeter box position of each family with the private wire pulling condition, the wire damage condition and the wire falling condition in the ammeter box, acquiring the ammeter box position of each family with the private wire pulling condition, the wire damage condition and the wire falling condition in the ammeter box, and sending the acquired ammeter box position of each family with the private wire pulling condition, the wire damage condition and the wire falling condition in the ammeter box to the manual processing module;
the manual processing module is used for receiving the electric meter box positions of each family, which are sent by the position positioning module and have private wire pulling conditions, electric wire damage conditions and electric wire falling conditions inside the electric meter box, and relevant personnel perform corresponding condition processing and maintenance according to the received electric meter box positions of each family;
the storage database is used for receiving the number set of each family in each residential building area sent by the area division module, storing the historical total power consumption of each family in each residential building area, storing the electricity fee unit price Y' of resident domestic electricity in the national electricity fee charging standard and storing the standard image characteristics of each condition in the electricity meter box;
furthermore, the historical total power consumption of each household is the total power consumption of each household in the previous day, and the historical total power consumption of each household is updated twelve o' clock per night;
further, the calculation formula of the daily electricity consumption of each family in each residential building area is delta wij=wij-w′ij,ΔwijIs expressed as the power consumption of the jth family in the ith residential building area on the same day, w'ijExpressed as the historical total power consumption, w, of the jth family in the ith residential building areaijThe total electricity consumption of the j family in the ith residential building area is expressed;
furthermore, each family in each residential building area is on the same dayThe calculation formula of the electricity charge is Yii=Δwij*Y′,YijExpressed as the electricity consumption of the jth family in the ith residential building area on the same day, Δ wijThe electricity consumption of the jth family in the ith residential building area on the same day is represented, and the electricity fee unit price of the residential life electricity in the national electricity fee charging standard is represented by Y';
furthermore, the image acquisition module comprises a plurality of high-definition cameras, wherein the high-definition cameras are respectively installed inside the electric meter boxes of each family, the high-definition cameras correspond to the electric meter boxes of each family one by one, and the high-definition cameras are used for acquiring images inside the electric meter boxes of each family in each residential building area;
furthermore, the conditions inside the electric meter box are respectively a private wire pulling condition, an electric wire damage condition, an electric wire falling condition and a no-condition;
further, the position locating module comprises a plurality of GPS locating instruments, wherein the GPS locating instruments are respectively installed inside the electric meter boxes of the households, the high-definition cameras correspond to the electric meter boxes of the households one to one, and the GPS locating instruments are used for locating the positions of the electric meter boxes of the households by adopting a satellite space locating technology.
Has the advantages that:
(1) according to the intelligent ammeter electricity consumption monitoring and management system based on big data, the electricity consumption of each family in each residential building area on the same day is comprehensively analyzed through the electricity consumption acquisition module and the electricity consumption analysis module, and reliable parameter data are provided for later-stage calculation of the electricity consumption cost of each family in each residential building area on the same day; meanwhile, the power consumption cost of each family in each residential building area on the same day is calculated through the analysis server, and the power consumption cost is pushed to the corresponding family user display terminal in a message sending mode, so that a user can timely master the power consumption information and state, the power consumption of the user can be better managed, the waste of energy is reduced, and the experience of the user is improved.
(2) According to the invention, the images in the electric meter boxes of the households in each residential building area are collected, the conditions in the electric meter boxes of the households in each residential building area are analyzed, the positions of the electric meter boxes of the households with the conditions in the electric meter boxes are positioned, and related personnel perform corresponding condition processing and maintenance according to the positions of the electric meter boxes of the households, so that a large amount of manpower resources can be saved, and the problem of long manual monitoring period is avoided, thereby improving the monitoring work efficiency and meeting the service requirements of users in daily use.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a big data-based power consumption monitoring and management system for a smart meter includes an area division module, a power consumption acquisition module, a power consumption analysis module, a data push module, an image acquisition module, an image processing module, a feature extraction module, an analysis server, a position location module, a manual processing module, and a storage database.
The analysis server is respectively connected with the power consumption analysis module, the data pushing module, the feature extraction module, the position positioning module and the storage database, the storage database is respectively connected with the area division module and the power consumption analysis module, the power consumption acquisition module is connected with the power consumption analysis module, the image processing module is respectively connected with the image acquisition module and the feature extraction module, and the manual processing module is connected with the position positioning module.
The region division module is used for dividing each residential building region in a community, numbering each residential building in the community sequentially according to the sequence, wherein the numbering is 1,2, thei(ai1,ai2,...,aij,...,aim),aijAnd the serial number is expressed as the serial number of the j family in the ith residential building area, and the serial number set of each family in each residential building area is sent to the storage database.
The power consumption acquisition module is used for acquiring the power consumption of each family in each residential building area, acquiring the total power consumption of each family in each residential building area in real time by accessing a power grid system, counting the acquired total power consumption of each family in each residential building area, and forming a total power consumption set W of each family in each residential building areai(wi1,wi2,...,wij,...,wim),wijThe total power consumption of the j family in the ith residential building area is represented, and the total power consumption of each family in each residential building area is sent to a power consumption analysis module in a set manner;
the power consumption analysis module is used for receiving the total power consumption set of each family in each residential building area sent by the power consumption acquisition module, extracting the historical total power consumption of each family in each residential building area stored in the storage database, calculating the power consumption of each family in each residential building area on the same day, providing reliable parameter data for later-stage calculation of the power consumption cost of each family in each residential building area on the same day, and the power consumption calculation formula of each family in each residential building area on the same day is delta wij=wij-w′ij,ΔwijIs expressed as the power consumption of the jth family in the ith residential building area on the same day, w'ijIs expressed as the ith residential building areaHistorical total power consumption, w, of the jth household in the domainijExpressed as the total electricity consumption of the j family in the ith residential building area, and the electricity consumption of each family in each residential building area on the same day is counted to form an electricity consumption set delta W of each family in each residential building area on the same dayi(Δwi1,Δwi2,...,Δwij,...,Δwim),ΔwijAnd the current electricity consumption of the j family in the ith residential building area is shown, and the current electricity consumption set of each family in each residential building area is sent to the analysis server.
The analysis server is used for receiving the electricity consumption collection of each family in each residential building area on the same day, which is sent by the electricity consumption analysis module, extracting the electricity fee unit price of residential life electricity in the national electricity fee charging standard stored in the storage database, calculating the electricity consumption of each family in each residential building area on the same day, and the calculation formula of the electricity consumption of each family in each residential building area on the same day is Yii=Δwij*Y′,YijExpressed as the electricity consumption of the jth family in the ith residential building area on the same day, Δ wijThe electricity consumption of the j family in the ith residential building area on the same day is represented, the electricity consumption unit price of the residential life electricity in the national electricity charge charging standard is represented by Y', the electricity consumption cost of each family in each residential building area on the same day is counted, and the electricity consumption cost of each family in each residential building area on the same day is sent to the data push module.
The data pushing module is used for receiving the same-day electricity consumption cost of each family in each residential building area sent by the analysis server, and pushing the same-day electricity consumption cost of each family in each residential building area to the corresponding home user display terminal in a message sending mode, so that a user can timely master electricity consumption information and states, the electricity consumption of the user can be better managed, the waste of energy is reduced, and the experience of the user is improved.
The image acquisition module comprises a plurality of high-definition cameras, wherein the high-definition cameras are respectively installed inside the electric meter boxes of each family, correspond to the electric meter boxes of each family one by one and are used for acquiring images inside the electric meter boxes of each family in each residential building area, acquiring images inside the electric meter boxes of each family in each residential building area and sending the acquired images inside the electric meter boxes of each family in each residential building area to the image processing module;
the image processing module is used for receiving the images inside the electric meter boxes of the households in each residential building area sent by the image acquisition module, normalizing the received images inside the electric meter boxes of the households to obtain images with consistent size and no deflection angle, segmenting the images inside the electric meter boxes of the households, selecting the minimum area of the electric meter boxes, which wraps the electric meter circuit, removing the images outside the minimum area of the electric meter boxes, strengthening the high-frequency components of the images in the minimum area of the electric meter boxes, counting the processing images inside the electric meter boxes of the households in each residential building area, and sending the processed images inside the electric meter boxes of the households in each residential building area to the feature extraction module;
the feature extraction module is used for receiving the processed images inside the electric meter boxes of the households in each residential building area sent by the image processing module, extracting features of the received images inside the electric meter boxes of the households in each residential building area, extracting image features inside the electric meter boxes of the households in each residential building area, and sending the extracted image features inside the electric meter boxes of the households in each residential building area to the analysis server.
The analysis server is used for receiving the image characteristics inside the electric meter boxes of the households in each residential building area sent by the characteristic extraction module, extracting the standard image characteristics of all conditions in the electric meter boxes stored in the storage database, comparing the received image characteristics inside the electric meter boxes of the households in each residential building area with the stored standard image characteristics of all conditions in the electric meter boxes, counting the similarity between the image characteristics inside the electric meter boxes of the households in each residential building area and the standard image characteristics of all conditions in the electric meter boxes, screening the standard image characteristics of the conditions in the electric meter boxes with the maximum similarity, and dividing the households in each residential building area into household number sets of household numbers of the household with the private cable pulling condition in the electric meter boxes according to the difference between the images of the conditions in the electric meter boxes of the households in each residential building area, The system comprises a position positioning module, a power line detection module and a power line detection module.
The position positioning module comprises a plurality of GPS positioning instruments, wherein the GPS positioning instruments are respectively arranged in the electric meter boxes of each family, and a plurality of high-definition cameras are in one-to-one correspondence with the electric meter boxes of each family, the system is used for receiving each family number set which is sent by the analysis server and has the conditions of private wire pulling, wire damage and wire falling in the electric meter box, adopts the satellite space positioning technology through the GPS positioning instrument, the electric meter box position of each family of the condition that the electric wire is pulled privately appears, the electric wire damage condition appears and the electric wire drops appears inside the electric meter box of receiving is fixed a position, acquires the electric meter box position of each family of the condition that appears inside the electric meter box, sends the electric meter box position of each family that the electric wire drops the condition that appears pulling privately inside the electric meter box of obtaining, the electric wire damage condition appears and the electric wire drops the condition to the manual processing module.
The manual processing module is used for receiving the ammeter box position of each family of the ammeter box that the position locating module sent the inside private line pulling situation of appearance of ammeter box, the electric wire damage situation appears and the electric wire situation that drops appears, relevant personnel carry out the situation processing and the maintenance that correspond according to the ammeter box position of each family of receiving, can practice thrift a large amount of manpower resources like this, and avoided the problem of artifical monitoring cycle length to monitor work efficiency has been improved, the service demand of user when daily use is satisfied.
The storage database is used for receiving the number set of each family in each residential building area sent by the area division module, and simultaneously storing the historical total power consumption of each family in each residential building area, wherein the historical total power consumption of each family is the total power consumption of each family in the previous day, the historical total power consumption of each family is updated after twelve hours every day, the electricity fee unit price Y' of the residential life electricity in the national electricity fee charging standard is stored, and the standard image characteristics of each condition in the electricity meter box are stored, and each condition in the electricity meter box is respectively a private wire pulling condition, an electric wire damage condition, an electric wire falling condition and no condition.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (7)

1. The utility model provides a wisdom ammeter power consumption monitoring management system based on big data which characterized in that: the system comprises an area division module, a power consumption acquisition module, a power consumption analysis module, a data push module, an image acquisition module, an image processing module, a feature extraction module, an analysis server, a position positioning module, a manual processing module and a storage database;
the analysis server is respectively connected with the power consumption analysis module, the data pushing module, the feature extraction module, the position positioning module and the storage database, the storage database is respectively connected with the area division module and the power consumption analysis module, the power consumption acquisition module is connected with the power consumption analysis module, the image processing module is respectively connected with the image acquisition module and the feature extraction module, and the manual processing module is connected with the position positioning module;
the region division module is used for dividing each residential building region in a community, numbering each residential building in the community sequentially according to the sequence, wherein the numbering is 1,2, theNumber set A of each family in domaini(ai1,ai2,...,aij,...,aim),aijThe serial number of the j family in the ith residential building area is represented, and the serial number set of each family in each residential building area is sent to the storage database;
the power consumption acquisition module is used for acquiring the power consumption of each family in each residential building area, acquiring the total power consumption of each family in each residential building area in real time by accessing a power grid system, counting the acquired total power consumption of each family in each residential building area, and forming a total power consumption set W of each family in each residential building areai(wi1,wi2,...,wij,...,wim),wijThe total power consumption of the j family in the ith residential building area is represented, and the total power consumption of each family in each residential building area is sent to a power consumption analysis module in a set manner;
the power consumption analysis module is used for receiving the total power consumption set of each family in each residential building area sent by the power consumption acquisition module, extracting the historical total power consumption of each family in each residential building area stored in the storage database, calculating the power consumption of each family in each residential building area on the same day, counting the power consumption of each family in each residential building area on the same day, and forming a power consumption set delta W of each family in each residential building area on the same dayi(Δwi1,Δwi2,...,Δwij,...,Δwim),ΔwijThe current day electricity consumption of the j family in the ith residential building area is represented, and the current day electricity consumption set of each family in each residential building area is sent to an analysis server;
the analysis server is used for receiving the electricity consumption collection of each household in each residential building area on the same day, which is sent by the electricity consumption analysis module, extracting the electricity fee unit price of residential life electricity in the national electricity fee charging standard stored in the storage database, calculating the electricity consumption cost of each household in each residential building area on the same day, counting the electricity consumption cost of each household in each residential building area on the same day, and sending the electricity consumption cost of each household in each residential building area on the same day to the data push module;
the data pushing module is used for receiving the same-day electricity consumption cost of each family in each residential building area sent by the analysis server and pushing the same-day electricity consumption cost of each family in each residential building area to the corresponding home user display terminal in a message sending mode;
the image acquisition module is used for acquiring images inside the electric meter boxes of each family in each residential building area, and sending the acquired images inside the electric meter boxes of each family in each residential building area to the image processing module;
the image processing module is used for receiving the images inside the electric meter boxes of the households in each residential building area sent by the image acquisition module, normalizing the received images inside the electric meter boxes of the households to obtain images with consistent size and no deflection angle, segmenting the images inside the electric meter boxes of the households, selecting the minimum area of the electric meter boxes, which wraps the electric meter circuit, removing the images outside the minimum area of the electric meter boxes, strengthening the high-frequency components of the images in the minimum area of the electric meter boxes, counting the processing images inside the electric meter boxes of the households in each residential building area, and sending the processed images inside the electric meter boxes of the households in each residential building area to the feature extraction module;
the characteristic extraction module is used for receiving the processed internal images of the electric meter boxes of the households in each residential building area, which are sent by the image processing module, extracting the characteristics of the received internal images of the electric meter boxes of the households in each residential building area, extracting the internal image characteristics of the electric meter boxes of the households in each residential building area, and sending the extracted internal image characteristics of the electric meter boxes of the households in each residential building area to the analysis server;
the analysis server is used for receiving the image characteristics inside the electric meter boxes of the households in each residential building area sent by the characteristic extraction module, extracting the standard image characteristics of all conditions in the electric meter boxes stored in the storage database, comparing the received image characteristics inside the electric meter boxes of the households in each residential building area with the stored standard image characteristics of all conditions in the electric meter boxes, counting the similarity between the image characteristics inside the electric meter boxes of the households in each residential building area and the standard image characteristics of all conditions in the electric meter boxes, screening the standard image characteristics of the conditions in the electric meter boxes with the maximum similarity, and dividing the households in each residential building area into household number sets of household numbers of the household with the private cable pulling condition in the electric meter boxes according to the difference between the images of the conditions in the electric meter boxes of the households in each residential building area, The method comprises the steps that a position positioning module is used for sending a set of numbers of each household with an electric wire damage condition in an electric meter box, a set of numbers of each household with an electric wire falling condition in the electric meter box and a set of numbers of each household without conditions in the electric meter box;
the position positioning module is used for receiving the number set of each family with the private wire pulling condition, the wire damage condition and the wire falling condition in the ammeter box sent by the analysis server, positioning the ammeter box position of each family with the private wire pulling condition, the wire damage condition and the wire falling condition in the ammeter box, acquiring the ammeter box position of each family with the private wire pulling condition, the wire damage condition and the wire falling condition in the ammeter box, and sending the acquired ammeter box position of each family with the private wire pulling condition, the wire damage condition and the wire falling condition in the ammeter box to the manual processing module;
the manual processing module is used for receiving the electric meter box positions of each family, which are sent by the position positioning module and have private wire pulling conditions, electric wire damage conditions and electric wire falling conditions inside the electric meter box, and relevant personnel perform corresponding condition processing and maintenance according to the received electric meter box positions of each family;
the storage database is used for receiving the number set of each family in each residential building area sent by the area division module, storing the historical total power consumption of each family in each residential building area, storing the electricity fee unit price Y' of resident life electricity in the national electricity fee charging standard, and storing the standard image characteristics of each condition in the electricity meter box.
2. The system according to claim 1, wherein the system comprises: the historical total power consumption of each family is the total power consumption of each family in the previous day, and the historical total power consumption of each family is updated twelve o' clock per day in the evening.
3. The system according to claim 1, wherein the system comprises: the calculation formula of the daily electricity consumption of each family in each residential building area is delta wij=wij-w′ij,ΔwijIs expressed as the power consumption of the jth family in the ith residential building area on the same day, w'ijExpressed as the historical total power consumption, w, of the jth family in the ith residential building areaijExpressed as the total electricity consumption of the j family in the ith residential building area.
4. The system according to claim 1, wherein the system comprises: the calculation formula of the daily electricity consumption of each family in each residential building area is Yii=Δwij*Y′,YijExpressed as the electricity consumption of the jth family in the ith residential building area on the same day, Δ wijThe electricity consumption of the jth family in the ith residential building area on the same day is represented, and the electricity fee unit price of the residential life electricity in the national electricity fee charging standard is represented by Y'.
5. The system according to claim 1, wherein the system comprises: the image acquisition module comprises a plurality of high-definition cameras, wherein the high-definition cameras are respectively installed inside the electric meter boxes of each family, the high-definition cameras correspond to the electric meter boxes of each family one to one, and images inside the electric meter boxes of each family in each residential building area are acquired through the high-definition cameras.
6. The system according to claim 1, wherein the system comprises: the conditions of the inside of the electric meter box are respectively the condition of private wire pulling, the condition of wire damage, the condition of wire falling and no condition.
7. The system according to claim 1, wherein the system comprises: the position positioning module comprises a plurality of GPS positioning instruments, wherein the GPS positioning instruments are respectively installed inside the electric meter boxes of each family, a plurality of high-definition cameras correspond to the electric meter boxes of each family one to one, and the GPS positioning instruments are used for positioning the positions of the electric meter boxes of each family by adopting a satellite space positioning technology.
CN202011239329.5A 2020-11-09 2020-11-09 Big data-based power consumption monitoring and management system for smart electric meter Withdrawn CN112364755A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113078636A (en) * 2021-04-07 2021-07-06 武汉瑞辉科技发展有限公司 Intelligent cloud management system for power grid power system supply chain based on data analysis and cloud computing
CN113341249A (en) * 2021-06-01 2021-09-03 江西凯天电力科技发展有限公司 Intelligent electricity consumption monitoring and alarming system and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113078636A (en) * 2021-04-07 2021-07-06 武汉瑞辉科技发展有限公司 Intelligent cloud management system for power grid power system supply chain based on data analysis and cloud computing
CN113341249A (en) * 2021-06-01 2021-09-03 江西凯天电力科技发展有限公司 Intelligent electricity consumption monitoring and alarming system and method

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