CN113030541A - Intelligent Internet of things electric meter management system and method - Google Patents
Intelligent Internet of things electric meter management system and methodDownload PDFInfo
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- CN113030541A CN113030541ACN202110434103.9ACN202110434103ACN113030541ACN 113030541 ACN113030541 ACN 113030541ACN 202110434103 ACN202110434103 ACN 202110434103ACN 113030541 ACN113030541 ACN 113030541A
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- G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
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Abstract
Description
Technical Field
The invention relates to the field of power internet of things, in particular to an intelligent internet of things ammeter management system and method.
Background
In the aspect of functional design, the traditional intelligent ammeter management system focuses on metering and electricity charge management as a core, and lacks of functional design of ammeter monitoring data. For example, in the case of electricity stealing, it is common in the prior art to monitor the possible existence of electricity stealing behavior by establishing an electricity stealing identification model through complex mathematical algorithms. For example, chinese patent discloses a method and an apparatus for identifying electricity stealing (publication No. CN107328974A), the method comprising: acquiring power consumption data of a user to be identified; calculating a preset abnormal power utilization index according to the power utilization data of the user to be identified; if the user to be identified is an abnormal user, generating a power utilization characteristic vector of the user to be identified according to the abnormal power utilization index of the user to be identified; respectively calculating similarity values of the electricity utilization characteristic vector of the user to be identified and preset electricity stealing fingerprint vectors of each electricity stealing method; and if any one of the calculated similarity values exceeds a preset threshold value, indicating that the user to be identified is a suspected electricity stealing user. In the embodiment, whether the user to be identified belongs to the electricity stealing suspected user or not is automatically identified by calculating the similarity value of the electricity utilization characteristic vector of the user to be identified and the electricity stealing fingerprint vector, so that the subjective assumption of the expert on electricity stealing identification is avoided, and the accuracy of electricity stealing identification is improved.
Obviously, the electricity stealing prevention method in the prior art can only be generally identified after the user has the electricity stealing behavior to cause the loss of the power grid. Therefore, the measure of preventing electricity stealing should be moved to the electricity end to perform advanced monitoring and identification, and reduce the loss of the power grid.
Disclosure of Invention
The invention aims to solve at least one of the technical problems in the prior art, and provides an intelligent Internet of things electric meter management system and method, which can monitor the abnormity of an electric meter at an electric end in real time and discover possible electric larceny behaviors in time.
In order to achieve the purpose, the following technical scheme is provided:
in a first aspect, the invention provides an intelligent internet of things electric meter management system, which comprises a server and a plurality of electric energy meters, wherein the electric energy meters are respectively in communication connection with the server;
the electric energy meter comprises a controller and a magnetic sensor, wherein the magnetic sensor is electrically connected with the controller and used for detecting the magnetic field intensity in a preset range of the electric energy meter;
the server includes:
the magnetic field data receiving module is used for receiving magnetic field data sent by the electric energy meter, and the magnetic field data comprises the magnetic field intensity;
the magnetic field abnormity judgment module is used for determining whether the electric energy meter is in an abnormal state according to the magnetic field intensity and a preset magnetic field threshold value, wherein the abnormal state is used for indicating that the magnetic field intensity of the electric energy meter is greater than the preset magnetic field threshold value;
and the magnetic field abnormity warning module is used for sending abnormity warning information to the warning device when the electric energy meter is in an abnormal state.
As a further improvement, the electric energy meter further comprises an infrared sensor electrically connected with the controller, and the infrared sensor is used for sending infrared data to the controller when detecting that a human body enters a preset range of the electric energy meter;
the server further comprises:
the infrared data receiving module is used for receiving infrared data sent by the electric energy meter, and the infrared data are used for indicating that a human body enters a preset range of the electric energy meter;
the infrared electricity stealing judgment module is used for determining that the electric energy meter is in an electricity stealing state when the electric energy meter is in an abnormal state and a human body enters a preset range of the electric energy meter;
and the infrared electricity stealing alarm module is used for sending electricity stealing alarm information to the alarm device when the electric energy meter is in an electricity stealing state.
As a further improvement, the server further comprises:
the duration confirming module is used for confirming the duration of the abnormal state of the electric energy meter when the electric energy meter is in the abnormal state;
and the abnormal state confirmation module is used for sending a magnetic field abnormal confirmation signal to the alarm device when the duration is greater than or equal to a preset time threshold.
As a further improvement, the abnormal state confirmation module is further configured to:
and when the duration is less than a preset time threshold, sending a magnetic field abnormity removing signal to an alarm device.
As a further refinement, the alarm device comprises a display or a mobile terminal.
In a second aspect, the invention provides an intelligent electricity meter management method for an internet of things, which is applied to a network composed of a server and a plurality of electric energy meters;
the electric energy meter comprises a controller and a magnetic sensor, wherein the magnetic sensor is electrically connected with the controller and used for detecting the magnetic field intensity in a preset range of the electric energy meter;
the method comprises the following steps:
the server receives magnetic field data sent by the electric energy meter, wherein the magnetic field data comprises the magnetic field intensity;
the server determines whether the electric energy meter is in an abnormal state according to the magnetic field intensity and a preset magnetic field threshold, wherein the abnormal state is used for indicating that the magnetic field intensity of the electric energy meter is larger than the preset magnetic field threshold;
and when the electric energy meter is in an abnormal state, the server sends abnormal alarm information to the alarm device.
As a further improvement, the electric energy meter further comprises an infrared sensor electrically connected with the controller, and the infrared sensor is used for sending infrared data to the controller when detecting that a human body enters a preset range of the electric energy meter;
the method further comprises the following steps:
the server receives infrared data sent by the electric energy meter, wherein the infrared data are used for indicating that a human body enters a preset range of the electric energy meter;
when the electric energy meter is in an abnormal state and a human body enters a preset range of the electric energy meter, the server determines that the electric energy meter is in an electricity stealing state;
and when the electric energy meter is in the electricity stealing state, the server sends electricity stealing warning information to the alarm device.
As a further improvement, the method further comprises:
when the electric energy meter is in an abnormal state, the server determines the duration time of the electric energy meter in the abnormal state;
and when the duration time is greater than or equal to a preset time threshold value, the server sends a magnetic field abnormity confirmation signal to the alarm device.
As a further improvement, the method further comprises:
and when the duration time is less than a preset time threshold value, the server sends a magnetic field abnormity removing signal to the alarm device.
As a further refinement, the alarm device comprises a display or a mobile terminal.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer-executable instructions are stored, and the computer-executable instructions are configured to cause a computer to execute a method for managing an intelligent electricity meter with an internet of things according to any one of the embodiments of the second aspect of the present invention.
Compared with the prior art, the intelligent Internet of things electric meter management system and method provided by the invention at least have the following beneficial effects:
the system comprises a server and an electric energy meter which are in communication connection, wherein the electric energy meter comprises a controller and a magnetic sensor, the magnetic sensor is electrically connected with the controller, and the magnetic sensor is used for detecting the magnetic field intensity of the electric energy meter within a preset range. The server can move the measure of preventing electricity stealing to the electricity utilization end by monitoring the magnetic field intensity in the preset range of the electric energy meter in real time, so that advanced monitoring and identification are carried out, and the loss of a power grid is reduced.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The invention is further described below with reference to the accompanying drawings and examples;
fig. 1 is a schematic flow chart of a method for managing an intelligent electricity meter in an embodiment.
Fig. 2 is a block diagram of an intelligent electricity meter management system in an embodiment.
FIG. 3 is a block diagram of a computer device in one embodiment.
Reference numerals: 100. an electric energy meter; 110. a controller; 120. a communication module; 130. a magnetic sensor; 140. an infrared sensor; 200. a server;
Detailed Description
Reference will now be made in detail to the present preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to like elements throughout.
The intelligent electricity meter management method and system provided by the embodiments of the present invention will be described and explained in detail through several specific embodiments.
As shown in fig. 1, in an embodiment, an intelligent electricity meter management method is provided, and is applied to a network composed of aserver 200 and a plurality ofelectric energy meters 100, specifically, as shown in fig. 2, theelectric energy meters 100 are in communication connection with theserver 200 through acommunication module 120, and thecommunication module 120 may specifically be implemented by a WiFi communication module or a GPRS communication module. As shown in fig. 2, theelectric energy meter 100 includes acontroller 110 and amagnetic sensor 130, themagnetic sensor 130 is electrically connected to thecontroller 110, themagnetic sensor 130 is used for detecting the magnetic field strength within a predetermined range of theelectric energy meter 100, wherein themagnetic sensor 130 is a device for converting the magnetic property change of the sensing element caused by external factors such as magnetic field, current, stress strain, temperature, light, etc. into an electric signal, and in this way, detecting the corresponding physical quantity.
Referring to fig. 1, the intelligent internet of things management method specifically includes the following steps:
step S110: theserver 200 receives the magnetic field data sent by theelectric energy meter 100, wherein the magnetic field data comprises the magnetic field intensity.
Step S120: theserver 200 determines whether theelectric energy meter 100 is in an abnormal state according to the magnetic field strength and a preset magnetic field threshold, wherein the abnormal state is used for indicating that the magnetic field strength of theelectric energy meter 100 is greater than the preset magnetic field threshold.
Step S130: when theelectric energy meter 100 is in an abnormal state, theserver 200 transmits abnormality warning information to the alarm device.
It can be understood that, for the electricity stealing behavior of the electricity utilization end, the strong magnetic electricity stealing behavior appears, and the strong magnetic electricity stealing behavior does not damage the meter box and contact the meter in the electricity stealing process and is difficult to find by traditional inspection. In the prior art, the electricity stealing behavior is generally recognized by monitoring the current data of theelectric energy meter 100 in real time and performing algorithms such as data analysis and the like in the background. However, this method of stealing electricity causes the current to decrease rather than disappear, and from the background, it shows that the load of the user is decreased, and it is not possible to judge the electricity stealing at all.
In this embodiment, the identification of electricity stealing is directly forwarded to the electricity utilization end, and the abnormal condition of the magnetic field in the predetermined range of theelectric energy meter 100 is monitored by themagnetic sensor 130, when the magnetic field in the predetermined range of theelectric energy meter 100 is abnormal, theserver 200 can send abnormal alarm information to the alarm device in time, and the alarm device can display corresponding alarm signals to the monitoring personnel when receiving the abnormal alarm information according to a preset program. Specifically, when the alarm device is a display connected to theserver 200 through a data line, the alarm signal is text information displayed on the display, when the alarm device is a mobile terminal such as a mobile phone, theserver 200 sends abnormal alarm information to the mobile phone through a GPRS signal, and when the mobile phone receives the abnormal alarm information, the mobile phone reminds monitoring personnel in a vibration or ringing mode, so that theelectric energy meter 100 in an abnormal state can be further monitored in time, and the abnormality of theelectric energy meter 100 can be found in time.
In one embodiment, as shown in fig. 2, theelectric energy meter 100 further includes aninfrared sensor 140 electrically connected to thecontroller 110, wherein theinfrared sensor 140 is configured to send infrared data to thecontroller 110 when detecting that a human body enters a predetermined range of theelectric energy meter 100; specifically, after step S130, the method further includes the following steps:
step S210: theserver 200 receives infrared data sent by theelectric energy meter 100, wherein the infrared data are used for indicating that a human body enters a preset range of theelectric energy meter 100.
Step S220: theserver 200 determines that theelectric energy meter 100 is in the electricity stealing state when theelectric energy meter 100 is in the abnormal state and the human body enters a predetermined range of theelectric energy meter 100.
Step S230: theserver 200 transmits electricity stealing alarm information to the alarm apparatus when theelectric energy meter 100 is in the electricity stealing state.
It is understood that, because there may be a natural phenomenon that the magnetic field intensity in the predetermined range of theelectric energy meter 100 changes, in order to improve the identification accuracy, in this example, after step S130, theinfrared sensor 140 is further used to detect a human body approaching theelectric energy meter 100, when the human body approaches theelectric energy meter 100 with a magnet, infrared data radiated by the human body will be detected by theinfrared sensor 140, and at this time, it may be more accurately determined that the electricity stealing behavior is implemented by interfering theelectric energy meter 100 with the magnet artificially. When the monitoring personnel receives the electricity stealing alarm information through the alarm device, more attention should be paid to quickly making further processing measures.
After step S130, the method further comprises the steps of:
step S310: when thepower meter 100 is in the abnormal state, theserver 200 determines the duration of thepower meter 100 in the abnormal state.
Step S320: when the duration time is greater than or equal to the preset time threshold, theserver 200 sends a magnetic field abnormality confirmation signal to the alarm device.
Step S330: and when the duration time is less than a preset time threshold value, theserver 200 sends a magnetic field abnormity removing signal to the alarm device.
It can be understood that, the intensity of the magnetic field in the predetermined range of theelectric energy meter 100 changes due to the non-electricity-stealing behavior, for example, when a certain passerby carries a magnet through theelectric energy meter 100, theserver 200 may send an abnormal alarm message to the alarm device, and there is a possibility of frequent false alarms. In order to improve the identification accuracy, in this example, after step S130, the duration of the abnormal state of theelectric energy meter 100 is further determined, and the magnetic field abnormality confirmation signal is sent to the alarm device only when the duration is greater than or equal to the preset time threshold. And when the duration is less than a preset time threshold, sending a magnetic field abnormity removing signal to the alarm device, wherein the magnetic field abnormity removing signal is used for reminding monitoring personnel that the magnetic field abnormity belongs to false alarm.
On the other hand, in one embodiment, an intelligent internet of things electricity meter management system is provided, the system comprises aserver 200 and a plurality ofelectric energy meters 100, wherein the plurality ofelectric energy meters 100 are respectively in communication connection with theserver 200; theelectric energy meter 100 comprises acontroller 110 and amagnetic sensor 130, wherein themagnetic sensor 130 is electrically connected with thecontroller 110, and themagnetic sensor 130 is used for detecting the intensity of magnetic field in a predetermined range of theelectric energy meter 100;
theserver 200 includes:
the magnetic field data receiving module is used for receiving magnetic field data sent by theelectric energy meter 100, wherein the magnetic field data comprises the magnetic field intensity;
the magnetic field abnormality judgment module is used for determining whether theelectric energy meter 100 is in an abnormal state according to the magnetic field intensity and a preset magnetic field threshold, wherein the abnormal state is used for indicating that the magnetic field intensity of theelectric energy meter 100 is greater than the preset magnetic field threshold;
and the magnetic field abnormity warning module is used for sending abnormity warning information to the warning device when theelectric energy meter 100 is in an abnormal state.
As a further improvement, theelectric energy meter 100 further comprises aninfrared sensor 140 electrically connected to thecontroller 110, wherein theinfrared sensor 140 is used for sending infrared data to thecontroller 110 when detecting that a human body enters into a predetermined range of theelectric energy meter 100;
theserver 200 further includes:
the infrared data receiving module is used for receiving infrared data sent by theelectric energy meter 100, and the infrared data are used for indicating that a human body enters a preset range of theelectric energy meter 100;
the infrared electricity stealing judgment module is used for determining that theelectric energy meter 100 is in an electricity stealing state when theelectric energy meter 100 is in an abnormal state and a human body enters a preset range of theelectric energy meter 100;
and the infrared electricity stealing alarm module is used for sending electricity stealing alarm information to the alarm device when theelectric energy meter 100 is in an electricity stealing state.
As a further improvement, theserver 200 further includes:
the duration confirming module is used for confirming the duration of the abnormal state of theelectric energy meter 100 when theelectric energy meter 100 is in the abnormal state;
and the abnormal state confirmation module is used for sending a magnetic field abnormal confirmation signal to the alarm device when the duration is greater than or equal to a preset time threshold.
As a further improvement, the abnormal state confirmation module is further configured to:
and when the duration is less than a preset time threshold, sending a magnetic field abnormity removing signal to an alarm device.
As a further refinement, the alarm device comprises a display or a mobile terminal.
It is understood that the system embodiments and the method embodiments of the present invention belong to the same inventive concept and the magnetic field is not described in detail.
FIG. 3 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be theserver 200 in fig. 2. As shown in fig. 3, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and also stores a computer program, and when the computer program is executed by a processor, the computer program can enable the processor to realize the intelligent management method of the electricity meter of the internet of things. The internal memory may also store a computer program, and when the computer program is executed by the processor, the computer program may enable the processor to execute the intelligent electricity meter management method. Those skilled in the art will appreciate that the configuration shown in fig. 3 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing devices to which aspects of the present invention may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the intelligent internet of things management system provided by the application can be implemented in the form of a computer program, and the computer program can be run on a computer device as shown in fig. 3. The memory of the computer device can store various program modules forming the intelligent Internet of things electric meter management system, such as a magnetic field data receiving module, a magnetic field abnormity judging module and a magnetic field abnormity warning module. The computer program formed by the program modules enables the processor to execute the steps of the intelligent electricity meter management method of the embodiment of the application described in the specification.
For example, the computer device shown in fig. 3 may perform the step of receiving the magnetic field data sent by theelectric energy meter 100 through a magnetic field data receiving module in the smart electricity-grid management system, where the magnetic field data includes the magnetic field strength. Determining whether theelectric energy meter 100 is in an abnormal state according to the magnetic field intensity and a preset magnetic field threshold value through a magnetic field abnormality determination module; the abnormal state is used to indicate that the magnetic field strength of theelectric energy meter 100 is greater than a preset magnetic field threshold. The step of transmitting the abnormality warning information to the alarm device when theelectric energy meter 100 is in the abnormal state is performed by the magnetic field abnormality warning module.
In one embodiment, a computer-readable storage medium is provided, which stores computer-executable instructions for causing a computer to perform the steps of the intelligent electricity of things table management method described above. The steps of the intelligent electricity meter management method may be steps in the intelligent electricity meter management methods of the foregoing embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRA), Rambus Direct RAM (RDRA), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
Claims (10)
1. The intelligent Internet of things electric meter management system is characterized by comprising a server and a plurality of electric energy meters, wherein the electric energy meters are respectively in communication connection with the server;
the electric energy meter comprises a controller and a magnetic sensor, wherein the magnetic sensor is electrically connected with the controller and used for detecting the magnetic field intensity in a preset range of the electric energy meter;
the server includes:
the magnetic field data receiving module is used for receiving magnetic field data sent by the electric energy meter, and the magnetic field data comprises the magnetic field intensity;
the magnetic field abnormity judgment module is used for determining whether the electric energy meter is in an abnormal state according to the magnetic field intensity and a preset magnetic field threshold value, wherein the abnormal state is used for indicating that the magnetic field intensity of the electric energy meter is greater than the preset magnetic field threshold value;
and the magnetic field abnormity warning module is used for sending abnormity warning information to the warning device when the electric energy meter is in an abnormal state.
2. The intelligent electricity meter management system according to claim 1, wherein the electric energy meter further comprises an infrared sensor electrically connected to the controller, the infrared sensor being configured to send infrared data to the controller upon detecting that a human body is within a predetermined range of the electric energy meter;
the server further comprises:
the infrared data receiving module is used for receiving infrared data sent by the electric energy meter, and the infrared data are used for indicating that a human body enters a preset range of the electric energy meter;
the infrared electricity stealing judgment module is used for determining that the electric energy meter is in an electricity stealing state when the electric energy meter is in an abnormal state and a human body enters a preset range of the electric energy meter;
and the infrared electricity stealing alarm module is used for sending electricity stealing alarm information to the alarm device when the electric energy meter is in an electricity stealing state.
3. The intelligent electricity meter management system according to claim 1, wherein the server further comprises:
the duration confirming module is used for confirming the duration of the abnormal state of the electric energy meter when the electric energy meter is in the abnormal state;
and the abnormal state confirmation module is used for sending a magnetic field abnormal confirmation signal to the alarm device when the duration is greater than or equal to a preset time threshold.
4. The intelligent electricity-of-things meter management system of claim 3, wherein the abnormal state confirmation module is further configured to:
and when the duration is less than a preset time threshold, sending a magnetic field abnormity removing signal to an alarm device.
5. The intelligent electricity meter management system according to claim 1, wherein the alarm device comprises a display or a mobile terminal.
6. The intelligent Internet of things electric meter management method is characterized by being applied to a network consisting of a server and a plurality of electric energy meters;
the electric energy meter comprises a controller and a magnetic sensor, wherein the magnetic sensor is electrically connected with the controller and used for detecting the magnetic field intensity in a preset range of the electric energy meter;
the method comprises the following steps:
the server receives magnetic field data sent by the electric energy meter, wherein the magnetic field data comprises the magnetic field intensity;
the server determines whether the electric energy meter is in an abnormal state according to the magnetic field intensity and a preset magnetic field threshold, wherein the abnormal state is used for indicating that the magnetic field intensity of the electric energy meter is larger than the preset magnetic field threshold;
and when the electric energy meter is in an abnormal state, the server sends abnormal alarm information to the alarm device.
7. The intelligent electricity meter management method according to claim 6, wherein the electric energy meter further comprises an infrared sensor electrically connected with the controller, and the infrared sensor is used for sending infrared data to the controller when detecting that a human body enters a predetermined range of the electric energy meter;
the method further comprises the following steps:
the server receives infrared data sent by the electric energy meter, wherein the infrared data are used for indicating that a human body enters a preset range of the electric energy meter;
when the electric energy meter is in an abnormal state and a human body enters a preset range of the electric energy meter, the server determines that the electric energy meter is in an electricity stealing state;
and when the electric energy meter is in the electricity stealing state, the server sends electricity stealing warning information to the alarm device.
8. The intelligent electricity meter management method according to claim 6, further comprising:
when the electric energy meter is in an abnormal state, the server determines the duration time of the electric energy meter in the abnormal state;
and when the duration time is greater than or equal to a preset time threshold value, the server sends a magnetic field abnormity confirmation signal to the alarm device.
9. The intelligent electricity meter management method according to claim 8, further comprising:
and when the duration time is less than a preset time threshold value, the server sends a magnetic field abnormity removing signal to the alarm device.
10. The intelligent electricity meter management method according to claim 6, wherein the alarm device comprises a display or a mobile terminal.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118731481A (en)* | 2024-07-05 | 2024-10-01 | 四川中威能电力科技有限公司 | A method and system for early warning of electricity theft of smart electric meters |
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| CN205958629U (en)* | 2016-08-24 | 2017-02-15 | 北京新源绿网节能科技有限公司 | Active thief -proof ammeter case |
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| CN118731481A (en)* | 2024-07-05 | 2024-10-01 | 四川中威能电力科技有限公司 | A method and system for early warning of electricity theft of smart electric meters |
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