CN112396275A - Power consumption monitoring method, system and computer readable storage medium - Google Patents
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Abstract
The invention provides a power utilization monitoring method, a power utilization monitoring system and a computer-readable storage medium. The method comprises the following steps: acquiring electric quantity data of a user; performing statistical analysis on the acquired electric quantity data to acquire electric quantity parameters of a target object, wherein the target object comprises at least one user; and if the power utilization parameters exceeding the alarm threshold exist in the obtained power utilization parameters, determining that the target object is abnormal in power utilization. Compared with the mode of realizing the electricity larceny prevention monitoring by reforming the electric meter equipment in the prior art, the embodiment of the invention is simpler in electricity larceny prevention monitoring and is easier to realize.
Description
Technical Field
The embodiment of the invention relates to the technical field of remote monitoring of the Internet of things, in particular to a power utilization monitoring method and system and a computer readable storage medium.
Background
Nowadays, electric energy is one of important energy sources, and has been generally applied to various fields of social production and various aspects of social life, and the electricity stealing behavior has seriously damaged the benefits of enterprises and individuals, so the realization of electricity stealing prevention monitoring is a trend.
Along with the development of the internet of things technology, more and more electronic and electrical equipment improves the intelligent degree of the electronic and electrical equipment through the internet of things technology, and the electronic and electrical equipment is no exception in the aspect of electricity stealing prevention monitoring, for example, many intelligent electric meters in the market can remotely monitor the electricity utilization condition of the electric meters and automatically deduct fees and power off, and part of the intelligent electric meters even have the function of electricity stealing alarm. Utilize internet of things's remote connection ability, can realize the anti-electricity-theft action of remote monitoring, the realization process need use three component parts usually: the system comprises an intelligent electric meter terminal, a wide-area data transmission and remote monitoring center; specifically, the intelligent electric meter terminal is used for monitoring electricity stealing abnormity, after the electricity stealing abnormity is monitored, wide-area data transmission is carried out, the electricity stealing event is reported to the monitoring center, and the monitoring center sends an alarm notice downwards.
Therefore, the anti-electricity-theft monitoring system mainly concentrates the anti-electricity-theft function at the terminal of the intelligent electric meter, and as most of the existing intelligent electric meters do not have the anti-electricity-theft function, certain transformation needs to be carried out on the existing intelligent electric meters or power supply circuits, so that the anti-electricity-theft monitoring is complex.
Disclosure of Invention
The embodiment of the invention provides a power utilization monitoring method, a power utilization monitoring system and a computer readable storage medium, which aim to solve the problem that the realization of anti-electricity-theft monitoring in the prior art is complex.
In a first aspect, an embodiment of the present invention provides a power consumption monitoring method, where the method includes:
acquiring electric quantity data of a user;
performing statistical analysis on the acquired electric quantity data to acquire electric quantity parameters of a target object, wherein the target object comprises at least one user;
and if the power utilization parameters exceeding the alarm threshold exist in the obtained power utilization parameters, determining that the target object is abnormal in power utilization.
In a second aspect, an embodiment of the present invention provides an electricity monitoring system, where the system includes:
the acquisition module is used for acquiring the electric quantity data of a user;
the statistical analysis module is used for performing statistical analysis on the acquired electric quantity data to acquire an electric quantity parameter of a target object, and the target object comprises at least one user;
and the first determining module is used for determining that the target object electricity utilization is abnormal if the electricity utilization parameters exceeding the alarm threshold exist in the obtained electricity utilization parameters.
In a third aspect, an embodiment of the present invention provides an electricity monitoring system, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor, where the computer program implements the steps of the electricity monitoring method when executed by the processor.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the power consumption monitoring method are implemented.
According to the embodiment of the invention, the power consumption abnormity of the target object is judged by carrying out intelligent statistical analysis on the electric quantity data of the user, so that the electricity larceny prevention of the target object can be monitored, and the risk of electricity larceny can be further prevented to a certain extent. Compared with the mode of realizing the electricity larceny prevention monitoring by reforming the electric meter equipment in the prior art, the embodiment of the invention is simpler in electricity larceny prevention monitoring and is easier to realize.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments of the present invention 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 to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic flow chart of a power consumption monitoring method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a power consumption monitoring system provided by an embodiment of the invention;
fig. 3 is a schematic hardware structure diagram of the power consumption monitoring system according to the embodiment of the present invention.
Detailed Description
As can be seen from the background art, the conventional electricity larceny prevention monitoring system mainly focuses the electricity larceny prevention function on the terminal of the smart meter, which makes the electricity larceny prevention monitoring more complicated.
For example, in a related technology, a modified smart meter is provided, which includes a human body infrared trigger module, an open metering box trigger module, an electricity larceny prevention image acquisition module, a communication module, an intelligent control module, a master station, and the like. Monitoring information through an intelligent control module, storing the monitored information to a database, and identifying whether the operation is authorized; if the operation is illegal, alarm information is sent to a manager to inform the field manager to check the field in time and solidify the evidence.
In addition, electricity stealing behavior may also occur on the transmission line before accessing the corresponding electric meter device of the user, for example, another related art detects electricity stealing behavior on the transmission line by installing a detector on the high-voltage side of the transmission line.
Therefore, in the prior art, certain transformation on the existing electric meter equipment or power supply circuit is involved, and the electricity larceny prevention monitoring is relatively complicated due to the complex transformation of installing the electricity larceny prevention device at the electric meter equipment end. In addition, the existing electricity stealing prevention monitoring system cannot give consideration to the electricity stealing behaviors of the power transmission line and the electricity meter equipment at the same time.
Based on this, the embodiment of the present invention provides a new power utilization monitoring scheme, and the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is a part of embodiments of the present invention, but not all 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.
First, a power consumption monitoring method according to an embodiment of the present invention will be described.
It should be noted that the power consumption monitoring method provided by the embodiment of the present invention is applied to a power consumption monitoring system, the power consumption monitoring system may be a power theft prevention monitoring center, and the monitoring center may perform statistical analysis on the acquired power data through a power theft prevention monitoring server to determine abnormal power consumption of a target object.
Referring to fig. 1, a schematic flow chart of a power consumption monitoring method according to an embodiment of the present invention is shown. As shown in fig. 1, the method may include the steps of:
Here, the user can understand as a unique identifier of the electric meter device, such as an electric meter number, the monitoring center can transmit electric quantity data of the electric meter device corresponding to the user based on the internet of things open platform OneNET, and receive the electric quantity data reported by the electric meter device corresponding to the user through the internet of things open platform.
Specifically, in order to enable the existing electric meter equipment to automatically report data through OneNET, items corresponding to OneNET can be added to the electric meter equipment, so that the electric meter equipment can report electric quantity data to the OneNET server according to a data transmission format of the OneNET and then the electric quantity data is forwarded to the monitoring center by the OneNET server.
Further, in order to enable the monitoring center to identify each user, registration and verification can be performed on each user at the monitoring center, and a user identity token is obtained after verification. Then, the user corresponding to the electric meter device may put the electric quantity data and the corresponding token into the http request, and send the http request to the monitoring center, and a lightweight data exchange format, such as a JSON format, may be adopted when sending the data, for example, as follows: { "id": 667832,: 34.28,: 1498462533488,: h3x6g3u7b2v5 }; wherein "id" represents a unique identifier of the electric meter device, "pc" represents electric quantity data of the electric meter device in kilowatt per hour, and "at" represents a time stamp, and "tk" represents a user token.
The electric meter equipment can report the electric quantity data periodically and automatically, for example, once an hour reports, or once a few minutes reports, or report the electric quantity data under the condition of triggering, for example, when a manager actively triggers a report button of the electric meter equipment, or the manager issues a command to the electric meter equipment through the monitoring center to trigger the report function of the electric meter equipment, the electric meter equipment can report the electric quantity data. In the following embodiments, the following embodiments will be described in detail by taking an example of automatic reporting of electric quantity data by electric meter equipment periodically.
Correspondingly, the monitoring center may include a receiving module, where the receiving module receives reporting information of the electric meter device based on oneNet according to the reporting mode of the electric meter device, verifies the reporting information based on a user token, analyzes the reporting information to obtain the electric quantity data of the user after the verification is passed, and stores the electric quantity data in the database.
Of course, the monitoring center can also receive the electric quantity data of the electric meter equipment corresponding to the user, which is input based on the input interface. Specifically, the monitoring center can provide an input interface for a manager, the manager manually inputs the information into the input interface after regularly reading the meter, and the input information comprises input time, unique identification of electric meter equipment, electric quantity data and the like; correspondingly, the monitoring center obtains input information of management personnel and analyzes and obtains electric quantity data of the user.
Here, the target object may be a home, an enterprise, or a cell. When the household is used, the target object can only comprise one user, namely, one electric meter device can be configured for each household, and the electricity utilization parameter of the target object is the electricity utilization parameter of the user; when the target object is an enterprise or a cell, the target object may include a plurality of users, and the power consumption parameter of the target object may include not only the power consumption parameter of each user in the target object, but also the power consumption parameter on the power transmission line in the target object.
Of course, when the target object is a home, the target object may also include a plurality of users, and at this time, the target object may be processed in a manner of referring to a business or a cell; the target object described below as a family includes only one user.
The statistical analysis can be performed on the acquired electric quantity data based on a statistical period, and the acquired electric quantity parameters include:
the ring ratio electricity utilization increase rate of the current statistical period relative to the previous statistical period;
the current statistical period in the current year is the same as the same statistical period in the last year, and the electricity utilization rate is increased;
and a deviation value between the total electricity consumption of the first target electric meter equipment in the current statistical period and the sum of the total electricity consumption of the second target electric meter equipment in the current statistical period, wherein the first target electric meter equipment is used for indicating the total electricity consumption of the target object, and the second target electric meter equipment is used for indicating the total electricity consumption of the user in the target object.
The ring ratio electricity consumption increase rate can be obtained by dividing the electricity data of the previous statistical period by the first target electricity data and multiplying the result by 100%, wherein the first target electricity data is obtained by subtracting the electricity data of the previous statistical period from the electricity data of the current statistical period.
The percentage increase rate of electricity consumption in the same year can be obtained by dividing the electricity data of the same statistical period in the last year by the second target electricity data and multiplying the result by 100%, wherein the second target electricity data is obtained by subtracting the electricity data of the same statistical period in the last year from the electricity data of the current statistical period in the current year.
The deviation value may be obtained by subtracting third target electric quantity data from the total electric quantity of the first target electric meter device in the current statistical period, where the third target electric quantity data is a sum of the total electric quantities of the second target electric meter devices in the current statistical period.
In addition, the ring ratio power utilization increase rate, the same ratio power utilization increase rate and the deviation value can be counted at the last moment when the current counting period ends or the moment when the next counting period starts, and the power utilization parameters of the target object can be acquired at the first time.
Specifically, when the target object is a household, the power data of the current statistical period, the power data of the previous statistical period, the power data of the current statistical period in the current year, and the power data of the same statistical period in the last year in the target object may be first obtained, and then the ring ratio power consumption increase rate and the same ratio power consumption increase rate of the target object may be calculated through the above manner. As for the offset value, since the target object has only one user, the offset value is zero.
When the target object is an enterprise or a cell, the target object comprises a plurality of users, the power data of each user in the target object in the current statistical period, the power data of the last statistical period, the power data of the current statistical period in the current year and the power data of the same statistical period in the last year can be obtained firstly, and then the ring ratio power utilization growth rate and the same ratio power utilization growth rate of each user in the target object are calculated through the mode, so that whether the target object has power utilization abnormity or not is judged from the perspective of the user.
Of course, since the enterprise or the cell is a large unit and there is a possibility of electricity stealing behavior on the power transmission line, it can also be determined whether there is electricity stealing behavior on the power transmission line by means of statistical deviation values. Specifically, the electric quantity data of the first target electric meter device in the current period and the electric quantity data of each second target electric meter device in the current period may be obtained first, then the sum of the electric quantity data of each second target electric meter device in the current period is calculated, and finally, the deviation value is calculated.
It should be noted that the statistical period may be set according to actual needs, and may be one day, one month, one quarter, or one year. The acquired electricity quantity data can be subjected to statistical analysis based on different statistical periods, for example, for one user, the ring ratio electricity consumption increase rate and the same ratio electricity consumption increase rate can be counted based on the electricity quantity data of each month, and the ring ratio electricity consumption increase rate and the same ratio electricity consumption increase rate can be counted based on the electricity quantity data of each quarter; for a business or a cell, the deviation value can be calculated based on daily electric quantity data, or even based on several hours of electric quantity data. In summary, the shorter the statistical period is set, the earlier the abnormal power consumption of the target object may be found.
The alarm threshold may be set according to an actual situation, may be set fixedly, or may be set in a floating manner, and in the following embodiments, the alarm threshold will be described in detail by taking a floating manner as an example.
The alarm threshold may be different according to different power consumption parameters, that is, different alarm thresholds may be set for the ring ratio power consumption increase rate, the same ratio power consumption increase rate, and the deviation value. For example, the alarm threshold may be set to 30% for the increase rate of the electricity consumption for the ring ratio, 40% for the increase rate of the electricity consumption for the same ratio, and 300 kw per hour for the deviation value.
Of course, since the ring power utilization rate and the comparable power utilization rate belong to the same power utilization parameter, and the alarm threshold values are both expressed by percentages, the alarm threshold values of the two power utilization parameters may be set to be the same, and the specific setting is not limited herein.
Specifically, if the power consumption parameters exceeding the alarm threshold exist in the obtained power consumption parameters, the power consumption abnormality of the target object is determined, and the control center automatically sends abnormality alarm information to the target object and/or the power supply power in a short message mode and waits for receiving confirmation. The abnormal alarm information may include alarm reasons, such as alarm caused by the increase rate of the ring specific electricity usage exceeding the alarm threshold and/or the increase rate of the same specific electricity usage exceeding the alarm threshold, and/or deviation value exceeding the alarm threshold.
For example, for a target object which is a family, if the increase rate of the ring ratio power consumption based on a month period exceeds an alarm threshold, abnormal alarm information is automatically sent to the target object and the power supply power in a short message manner so as to inform that the target object has power consumption abnormality due to the fact that the increase rate of the ring ratio power consumption in the current month exceeds a standard.
For another example, for a target object which is an enterprise or a cell, if the ring ratio power consumption increase rate of a user based on the usage period exceeds the alarm threshold and the deviation value exceeds the alarm threshold, abnormal alarm information is automatically sent to the user, the target object and the power supply power in a short message mode, on one hand, the abnormal power consumption of a certain user in the target object is informed when the ring ratio power consumption increase rate in the current month exceeds the standard, and on the other hand, the abnormal power consumption on the power transmission line of the target object is informed when the deviation value exceeds the standard.
According to the embodiment of the invention, the power consumption abnormity of the target object is judged by carrying out intelligent statistical analysis on the electric quantity data of the user, so that the electricity larceny prevention of the target object can be monitored, and the risk of electricity larceny can be further prevented to a certain extent. Compared with the mode of realizing the electricity larceny prevention monitoring by reforming the electric meter equipment in the prior art, the embodiment of the invention is simpler in electricity larceny prevention monitoring and is easier to realize.
Meanwhile, the electricity stealing behaviors of the power transmission line and the electricity meter equipment can be considered simultaneously aiming at the target object of an enterprise or a community.
Further, in order to enable the alarm threshold to reflect the power utilization abnormality of the target object more, the alarm threshold may be set in a floating manner, and based on the first embodiment, before step 103, the method further includes:
and determining the alarm threshold value based on the environmental factors of the current statistical period.
The environmental factors may include season and temperature, for example, if the temperature is higher in summer and lower in winter, and the power consumption is greater than that in spring and autumn, the alarm threshold may be expanded appropriately, for example, increased by 20%, when the power consumption is determined to be abnormal.
Of course, the control center may also perform statistics on environmental factors, and determine the alarm threshold according to the statistical environmental factors. For example, if the temperature of the current statistical period in the current year obtained by statistics is increased by 5 degrees celsius relative to the temperature of the same statistical period in the last year, the alarm threshold of the comparable power utilization increase rate can be increased by 5%.
In the embodiment, the alarm threshold value can be set based on environmental factor floating, and the judgment of the electrical anomaly is more accurate.
Furthermore, in order to enable management personnel to manage more conveniently, the power utilization state of each user can be presented through a webpage management page. Specifically, based on the first embodiment, in this embodiment, the method further includes:
displaying the power utilization state of each target object based on a webpage management interface of a geographic information system, wherein the power utilization state comprises the total power utilization amount; and if the target object has abnormal electricity utilization, the electricity utilization state further comprises an abnormal identifier.
The control center can further comprise a webpage management interface at the front end, based on the webpage management interface, the power utilization state of the electric meter equipment corresponding to each user can be displayed in real time in a map mode, the power utilization state comprises the total power utilization amount, and if power utilization abnormity exists, the power utilization state can further comprise an abnormal identifier and an abnormal reason.
For example, if the target object a has an electricity consumption abnormality that the ring ratio electricity consumption increase rate exceeds the alarm threshold and an electricity consumption abnormality that the deviation value exceeds the alarm threshold, the position information of the target object a may be displayed in the form of a map through the web management interface, the total electricity consumption of the target object a may be displayed at the same time, and the target object a having the electricity consumption abnormality may be marked with an abnormality identifier, such as a target object having an electricity consumption abnormality marked with a red identifier.
In addition, if the target object clicks the specifically displayed electricity meter equipment, the webpage management interface can also display the reason for the alarm.
In the embodiment, the position information and the power utilization state of the ammeter equipment with abnormal power utilization are visually displayed by the geographic information system, so that management of managers is facilitated.
The following describes an electricity consumption monitoring system provided by an embodiment of the present invention.
Referring to fig. 2, a schematic structural diagram of an electricity monitoring system 200 according to an embodiment of the present invention is shown. As shown in fig. 2, the electricity consumption monitoring system 200 includes:
an obtaining module 201, configured to obtain electric quantity data of a user;
the statistical analysis module 202 is configured to perform statistical analysis on the acquired electric quantity data to obtain an electric parameter of a target object, where the target object includes at least one user;
the first determining module 203 is configured to determine that the target object is abnormal in power consumption if the obtained power consumption parameters exceed an alarm threshold.
Optionally, the obtaining module 201 is specifically configured to receive electric quantity data reported by the electric meter device corresponding to the user through an internet of things open platform; or receiving the electric quantity data of the electric meter equipment corresponding to the user, which is input based on the input interface.
Optionally, the obtained power consumption parameters include:
the ring ratio electricity utilization increase rate of the current statistical period relative to the previous statistical period;
the current statistical period in the current year is the same as the same statistical period in the last year, and the electricity utilization rate is increased;
and a deviation value between the total electricity consumption of the first target electric meter equipment in the current statistical period and the sum of the total electricity consumption of the second target electric meter equipment in the current statistical period, wherein the first target electric meter equipment is used for indicating the total electricity consumption of the target object, and the second target electric meter equipment is used for indicating the total electricity consumption of the user in the target object.
Optionally, the system further includes:
and the second determining module is used for determining the alarm threshold value based on the environmental factors of the current statistical period.
Optionally, the system further includes:
the display module is used for displaying the power utilization state of each target object based on a webpage management interface of a geographic information system, wherein the power utilization state comprises the total power utilization amount; and if the target object has abnormal electricity utilization, the electricity utilization state further comprises an abnormal identifier.
The power consumption monitoring system provided by the embodiment of the invention can realize each process realized in the method embodiment, and is not described again in order to avoid repetition.
Referring to fig. 3, a schematic diagram of a hardware structure of the power consumption monitoring system according to the embodiment of the present invention is shown. As shown in fig. 3, the electricity consumption monitoring system 300 includes: a processor 301, a memory 302, a user interface 303 and a bus interface 304.
A processor 301, configured to read the program in the memory 302, and execute the following processes:
acquiring electric quantity data of a user;
performing statistical analysis on the acquired electric quantity data to acquire electric quantity parameters of a target object, wherein the target object comprises at least one user;
and if the power utilization parameters exceeding the alarm threshold exist in the obtained power utilization parameters, determining that the target object is abnormal in power utilization.
In fig. 3, the bus architecture may include any number of interconnected buses and bridges, with one or more processors represented by processor 301 and various circuits of memory represented by memory 302 being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. Bus interface 304 provides an interface. For different user devices, the user interface 303 may also be an interface capable of interfacing with a desired device externally, including but not limited to a keypad, display, speaker, microphone, joystick, etc.
The processor 301 is responsible for managing the bus architecture and general processing, and the memory 302 may store data used by the processor 301 in performing operations.
Optionally, the processor 301 is specifically configured to:
receiving electric quantity data reported by electric meter equipment corresponding to the user through an open platform of the Internet of things; or,
and receiving the electric quantity data of the electric meter equipment corresponding to the user, which is input based on the input interface.
Optionally, the obtained power consumption parameters include:
the ring ratio electricity utilization increase rate of the current statistical period relative to the previous statistical period;
the current statistical period in the current year is the same as the same statistical period in the last year, and the electricity utilization rate is increased;
and a deviation value between the total electricity consumption of the first target electric meter equipment in the current statistical period and the sum of the total electricity consumption of the second target electric meter equipment in the current statistical period, wherein the first target electric meter equipment is used for indicating the total electricity consumption of the target object, and the second target electric meter equipment is used for indicating the total electricity consumption of the user in the target object.
Optionally, the processor 301 is further configured to:
and determining the alarm threshold value based on the environmental factors of the current statistical period.
Optionally, the processor 301 is further configured to:
displaying the power utilization state of each target object based on a webpage management interface of a geographic information system, wherein the power utilization state comprises the total power utilization amount; and if the target object has abnormal electricity utilization, the electricity utilization state further comprises an abnormal identifier.
According to the embodiment of the invention, the power consumption abnormity of the target object is judged by carrying out intelligent statistical analysis on the electric quantity data of the user, so that the electricity larceny prevention of the target object can be monitored, and the risk of electricity larceny can be further prevented to a certain extent. Compared with the mode of realizing the electricity larceny prevention monitoring by reforming the electric meter equipment in the prior art, the embodiment of the invention is simpler in electricity larceny prevention monitoring and is easier to realize.
Meanwhile, the electricity stealing behaviors of the power transmission line and the electricity meter equipment can be considered simultaneously aiming at the target object of an enterprise or a community.
Preferably, an embodiment of the present invention further provides an electricity monitoring system, which includes a processor 301, a memory 302, and a computer program that is stored in the memory 302 and can be run on the processor 301, and when the computer program is executed by the processor 301, the computer program implements each process of the above-mentioned electricity monitoring method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the foregoing power consumption monitoring method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (12)
1. A method of monitoring power usage, the method comprising:
acquiring electric quantity data of a user;
performing statistical analysis on the acquired electric quantity data to acquire electric quantity parameters of a target object, wherein the target object comprises at least one user;
and if the power utilization parameters exceeding the alarm threshold exist in the obtained power utilization parameters, determining that the target object is abnormal in power utilization.
2. The method of claim 1, wherein the step of obtaining the user's charge data comprises:
receiving electric quantity data reported by electric meter equipment corresponding to the user through an open platform of the Internet of things; or,
and receiving the electric quantity data of the electric meter equipment corresponding to the user, which is input based on the input interface.
3. The method of claim 1, wherein the obtained electricity usage parameters comprise:
the ring ratio electricity utilization increase rate of the current statistical period relative to the previous statistical period;
the current statistical period in the current year is the same as the same statistical period in the last year, and the electricity utilization rate is increased;
and a deviation value between the total electricity consumption of the first target electric meter equipment in the current statistical period and the sum of the total electricity consumption of the second target electric meter equipment in the current statistical period, wherein the first target electric meter equipment is used for indicating the total electricity consumption of the target object, and the second target electric meter equipment is used for indicating the total electricity consumption of the user in the target object.
4. The method according to claim 1, wherein before determining that the target object power consumption is abnormal if the power consumption parameters exceeding the alarm threshold exist in the obtained power consumption parameters, the method further comprises:
and determining the alarm threshold value based on the environmental factors of the current statistical period.
5. The method of claim 1, further comprising:
displaying the power utilization state of each target object based on a webpage management interface of a geographic information system, wherein the power utilization state comprises the total power utilization amount; and if the target object has abnormal electricity utilization, the electricity utilization state further comprises an abnormal identifier.
6. An electricity usage monitoring system, the system comprising:
the acquisition module is used for acquiring the electric quantity data of a user;
the statistical analysis module is used for performing statistical analysis on the acquired electric quantity data to acquire an electric quantity parameter of a target object, and the target object comprises at least one user;
and the first determining module is used for determining that the target object electricity utilization is abnormal if the electricity utilization parameters exceeding the alarm threshold exist in the obtained electricity utilization parameters.
7. The system according to claim 6, wherein the obtaining module is specifically configured to receive electric quantity data reported by the electric meter device corresponding to the user through an internet of things open platform; or receiving the electric quantity data of the electric meter equipment corresponding to the user, which is input based on the input interface.
8. The system of claim 6, wherein the obtained electricity usage parameters comprise:
the ring ratio electricity utilization increase rate of the current statistical period relative to the previous statistical period;
the current statistical period in the current year is the same as the same statistical period in the last year, and the electricity utilization rate is increased;
and a deviation value between the total electricity consumption of the first target electric meter equipment in the current statistical period and the sum of the total electricity consumption of the second target electric meter equipment in the current statistical period, wherein the first target electric meter equipment is used for indicating the total electricity consumption of the target object, and the second target electric meter equipment is used for indicating the total electricity consumption of the user in the target object.
9. The system of claim 6, further comprising:
and the second determining module is used for determining the alarm threshold value based on the environmental factors of the current statistical period.
10. The system of claim 6, further comprising:
the display module is used for displaying the power utilization state of each target object based on a webpage management interface of a geographic information system, wherein the power utilization state comprises the total power utilization amount; and if the target object has abnormal electricity utilization, the electricity utilization state further comprises an abnormal identifier.
11. An electricity usage monitoring system comprising a processor, a memory, a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the electricity usage monitoring method according to any one of claims 1 to 5.
12. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the electricity usage monitoring method according to any one of claims 1 to 5.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112925827A (en) * | 2021-03-04 | 2021-06-08 | 南京怡晟安全技术研究院有限公司 | User property abnormity analysis method based on power acquisition Internet of things data |
CN113240540A (en) * | 2021-04-06 | 2021-08-10 | 武汉慧联无限科技有限公司 | Monitoring method, monitoring device, electronic equipment and computer readable storage medium |
CN114487663A (en) * | 2022-01-11 | 2022-05-13 | 珠海格力电器股份有限公司 | Power consumption abnormality analysis method and device, electronic device, and storage medium |
CN115459434A (en) * | 2022-08-12 | 2022-12-09 | 北京圣福伦电气技术有限公司 | Intelligent electricity consumption monitoring method and system for industrial enterprise |
CN117093943A (en) * | 2023-08-23 | 2023-11-21 | 广东电网有限责任公司佛山供电局 | Power consumption monitoring and early warning method and device |
CN117147958A (en) * | 2023-08-23 | 2023-12-01 | 广东电网有限责任公司佛山供电局 | Method and device for discriminating electricity larceny based on real-time electricity utilization monitoring |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106156269A (en) * | 2016-06-01 | 2016-11-23 | 国网河北省电力公司电力科学研究院 | One is opposed electricity-stealing precise positioning on-line monitoring method |
CN106291253A (en) * | 2016-09-23 | 2017-01-04 | 国网天津市电力公司 | A kind of anti-electricity-theft early warning analysis method |
CN106447534A (en) * | 2016-09-22 | 2017-02-22 | 国网上海市电力公司 | Method for determining stability of power mode based on gray relational analysis |
CN108134453A (en) * | 2017-12-31 | 2018-06-08 | 广州用能互联网有限公司 | A kind of early warning alarm method of intelligent power distribution room monitoring system |
CN108416693A (en) * | 2018-02-01 | 2018-08-17 | 东华大学 | A kind of multiplexing electric abnormality Activity recognition method based on fuzzy neural network |
CN108959424A (en) * | 2018-06-11 | 2018-12-07 | 长春电力设计有限公司 | A kind of operating method of the city electricity consumption map for power system load monitoring |
CN110113379A (en) * | 2019-04-08 | 2019-08-09 | 上海大学 | A kind of micro-capacitance sensor monitoring system and its implementation based on OneNet platform |
-
2019
- 2019-08-19 CN CN201910763062.0A patent/CN112396275A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106156269A (en) * | 2016-06-01 | 2016-11-23 | 国网河北省电力公司电力科学研究院 | One is opposed electricity-stealing precise positioning on-line monitoring method |
CN106447534A (en) * | 2016-09-22 | 2017-02-22 | 国网上海市电力公司 | Method for determining stability of power mode based on gray relational analysis |
CN106291253A (en) * | 2016-09-23 | 2017-01-04 | 国网天津市电力公司 | A kind of anti-electricity-theft early warning analysis method |
CN108134453A (en) * | 2017-12-31 | 2018-06-08 | 广州用能互联网有限公司 | A kind of early warning alarm method of intelligent power distribution room monitoring system |
CN108416693A (en) * | 2018-02-01 | 2018-08-17 | 东华大学 | A kind of multiplexing electric abnormality Activity recognition method based on fuzzy neural network |
CN108959424A (en) * | 2018-06-11 | 2018-12-07 | 长春电力设计有限公司 | A kind of operating method of the city electricity consumption map for power system load monitoring |
CN110113379A (en) * | 2019-04-08 | 2019-08-09 | 上海大学 | A kind of micro-capacitance sensor monitoring system and its implementation based on OneNet platform |
Non-Patent Citations (1)
Title |
---|
周昭茂: "《互联网+时代智慧校园建设探索》", 中国电力出版社, pages: 66 - 84 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112925827A (en) * | 2021-03-04 | 2021-06-08 | 南京怡晟安全技术研究院有限公司 | User property abnormity analysis method based on power acquisition Internet of things data |
CN112925827B (en) * | 2021-03-04 | 2024-05-10 | 南京怡晟安全技术研究院有限公司 | User property anomaly analysis method based on electric power acquisition internet of things data |
CN113240540A (en) * | 2021-04-06 | 2021-08-10 | 武汉慧联无限科技有限公司 | Monitoring method, monitoring device, electronic equipment and computer readable storage medium |
CN114487663A (en) * | 2022-01-11 | 2022-05-13 | 珠海格力电器股份有限公司 | Power consumption abnormality analysis method and device, electronic device, and storage medium |
CN115459434A (en) * | 2022-08-12 | 2022-12-09 | 北京圣福伦电气技术有限公司 | Intelligent electricity consumption monitoring method and system for industrial enterprise |
CN117093943A (en) * | 2023-08-23 | 2023-11-21 | 广东电网有限责任公司佛山供电局 | Power consumption monitoring and early warning method and device |
CN117147958A (en) * | 2023-08-23 | 2023-12-01 | 广东电网有限责任公司佛山供电局 | Method and device for discriminating electricity larceny based on real-time electricity utilization monitoring |
CN117147958B (en) * | 2023-08-23 | 2024-08-20 | 广东电网有限责任公司佛山供电局 | Method and device for discriminating electricity larceny based on real-time electricity utilization monitoring |
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