Ammeter amount application system

Abstract

The invention relates to an electricity meter amount application system which comprises a load storage component, a content detection component, a multi-layer building component, change analysis equipment, data display equipment and the like. The ammeter amount application system is intelligent in design, safe and reliable. The load identification model can be adopted to determine whether a scene in which the number of used loads changes compared with the known number of the used loads of the current ammeter user exists in a past period of time, so that a power management party can conveniently analyze and judge the load use scene of the ammeter user.

Description

Technical Field

[0001] The invention relates to the field of electric meters, and in particular to an electric meter amount application system. Background Art

[0002] The main impacts of meter load size include damage to the meter itself, data reading errors, and circuit and line safety. When the current exceeds the larger current of the meter, it will not affect the metering in a short time, but it will damage the meter in a long time. If the purchased meter is greater than the rated voltage of your own circuit, the meter may have burnt parts or lines, and there will be errors in data reading. High-load operation will cause the current transformer and energy meter to be seriously overloaded, the error will shift in the negative direction, and the metering will be greatly reduced. ‌ Generally speaking, the number of loads used by each meter user and the rated power, operating voltage and operating resistance of each load used by the meter user are fixed, and the load setting that can ensure that the meter load is less than the meter's bearing range. However, in order to evade power supervision, some meter users privately install high-power loads or a large number of loads into the circuits in their own homes. Due to the lack of knowledge to judge power data, there is a lack of foresight for the damage to the meter and even the entire circuit caused by the above behavior. The power supervision department suffers from being at a remote location and is unable to analyze and judge the changes in the number of loads on site, making it difficult to resolve the crisis of the above behavior. Summary of the invention

[0003] In order to solve technical problems in related fields, the present invention provides an electricity meter amount application system, which can use a load identification model to complete a scenario in which there is a change in the number of loads used compared with the known number of loads used by the current electricity meter user within a period of time in the past, for the current electricity meter user, thereby completing an intelligent analysis of the load usage status of the electricity meter user, facilitating the power management party to analyze and judge the load usage scenarios of the electricity meter user, reducing the difficulty of power management, and avoiding various types of power failures and power crises.

[0004] According to the present invention, there is provided an electric meter amount application system, the system comprising: A load storage component, used to store known load information of the current meter user, wherein the known load information of the current meter user is the known number of loads used by the current meter user and the known rated power, operating voltage and operating resistance of each load used by the current meter user; A content detection component is used to obtain the change amplitude of each meter reading and the starting value of each meter reading corresponding to each historical time interval before the current moment of the current meter; A multi-layer assembly component is used to perform multiple learning on the deep neural network to complete the multi-layer assembly of the deep neural network, and output the deep neural network after performing the multiple learning as a load identification model; a change analysis device, connected to the load storage component, the content detection component and the multi-layer component, respectively, for synchronously inputting the change amplitude of each meter reading corresponding to each historical time interval before the current moment and the starting value of each meter reading, the known load information of the user of the current meter and the rated power of the current meter into the load identification model, so as to run the load identification model and obtain the load change identification of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model; A data display device, connected to the change analysis device, for receiving and displaying in real time the load change identification of the current electric meter within the entire time length of each historical time interval before the current moment; Wherein, the change amplitudes of each meter reading corresponding to each historical time interval before the current moment and the starting values ​​of each meter reading, the known load information of the current meter user and the rated power of the current meter are synchronously input into the load identification model to run the load identification model, and the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is obtained, including: when the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is 0B01, it is judged that the number of loads used by the current meter within the entire time length of each historical time interval before the current moment has a numerical change compared with the known number of loads used by the current meter user; Among them, the change amplitudes of each meter reading corresponding to each historical time interval before the current moment and the starting values ​​of each meter reading, the known load information of the current meter user and the rated power of the current meter are synchronously input into the load identification model to run the load identification model, and the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model includes: the duration of each time interval in each historical time interval before the current moment is equal, and the number of each historical time interval is proportional to the known number of loads used by the current meter user.

[0005] It can be seen that the present invention has at least the following significant substantive features: Firstly: for the current meter user, a load identification model is used to complete the scenario of whether there is a change in the number of loads used compared with the known number of loads used by the current meter user in the past period of time, thereby completing the intelligent analysis of the meter user's load usage status, facilitating the power management party to analyze and judge the meter user's load usage scenario, and reducing the difficulty of power management; Secondly: the load identification model used is a deep neural network after multiple learning. The number of multiple learnings performed on the deep neural network is monotonically positively correlated with the known number of loads used by the current meter user, so that load identification models with different structures are constructed for different meter users. Again: To ensure the stability and effectiveness of the intelligent analysis results, various basic data are specifically screened for the load identification model, including the known number of loads used by the current meter user, the known rated power, operating voltage and operating resistance of each load used by the current meter user, and the amplitude of changes in each meter reading corresponding to each historical time interval before the current moment, as well as the starting value of each meter reading.

[0006] The meter amount application system of the present invention is intelligently designed, safe and reliable. Since the load identification model can be used to complete the scenario of whether there is a change in the number of loads used compared with the known number of loads used by the current meter user within a period of time in the past, it is convenient for the power management party to analyze and judge the load usage scenario of the meter user. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 FIG. 1 is an internal structural diagram of an electric meter amount application system according to a first embodiment of the present invention.

[0008] Figure 2 FIG. 1 is an internal structural diagram of an electric meter amount application system according to a second embodiment of the present invention.

[0009] Figure 3 FIG. 1 is an internal structural diagram of an electric meter amount application system according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0010] The implementation scheme of the electric meter amount application system of the present invention will be described in detail below with reference to the accompanying drawings.

[0011] Figure 1 The internal structure diagram of the electric meter amount application system according to the first embodiment of the present invention is shown, and the system includes: A load storage component, used to store known load information of the current meter user, wherein the known load information of the current meter user is the known number of loads used by the current meter user and the known rated power, operating voltage and operating resistance of each load used by the current meter user; For example, the load storage component is used to store known load information of the current meter user, wherein the known load information of the current meter user is the known number of loads used by the current meter user and the known rated power, working voltage and operating resistance of each load used by the current meter user, including: the load storage component is an MMC storage chip, a TF storage chip or a FLASH storage device; A content detection component is used to obtain the change amplitude of each meter reading and the starting value of each meter reading corresponding to each historical time interval before the current moment of the current meter; A multi-layer assembly component is used to perform multiple learning on the deep neural network to complete the multi-layer assembly of the deep neural network, and output the deep neural network after performing the multiple learning as a load identification model; a change analysis device, connected to the load storage component, the content detection component and the multi-layer component, respectively, for synchronously inputting the change amplitude of each meter reading corresponding to each historical time interval before the current moment and the starting value of each meter reading, the known load information of the user of the current meter and the rated power of the current meter into the load identification model, so as to run the load identification model and obtain the load change identification of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model; A data display device, connected to the change analysis device, for receiving and displaying in real time the load change identification of the current electric meter within the entire time length of each historical time interval before the current moment; Wherein, the change amplitudes of each meter reading corresponding to each historical time interval before the current moment and the starting values ​​of each meter reading, the known load information of the current meter user and the rated power of the current meter are synchronously input into the load identification model to run the load identification model, and the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is obtained, including: when the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is 0B01, it is judged that the number of loads used by the current meter within the entire time length of each historical time interval before the current moment has a numerical change compared with the known number of loads used by the current meter user; The change amplitudes of each meter reading corresponding to each historical time interval before the current moment, the starting values ​​of each meter reading, the known load information of the current meter user, and the rated power of the current meter are synchronously input into the load identification model to run the load identification model, and the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is obtained, including: the duration of each time interval in each historical time interval before the current moment is equal, and the number of each historical time interval is proportional to the known number of loads used by the current meter user; The method further comprises: performing multiple learning on the deep neural network to complete the multi-layer formation of the deep neural network, and outputting the deep neural network after the multiple learning as the load identification model, wherein the number of multiple learnings performed on the deep neural network is monotonically positively correlated with the known number of loads used by the current electricity meter user; Among them, the change amplitudes of each meter reading corresponding to each historical time interval before the current moment and the starting values ​​of each meter reading, the known load information of the current meter user and the rated power of the current meter are synchronously input into the load identification model to run the load identification model, and the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is obtained, which also includes: when the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is 0B00, it is determined that there is no numerical change in the number of loads used by the current meter within the entire time length of each historical time interval before the current moment compared with the known number of loads used by the current meter user.

[0012] Figure 2 FIG. 1 is an internal structural diagram of an electric meter amount application system according to a second embodiment of the present invention.

[0013] exist Figure 2 In, with Figure 1 Differently, the electric meter amount application system shown in the second embodiment of the present invention may also include: A temperature measuring mechanism, comprising a plurality of temperature measuring units, for respectively measuring current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer assembly component; Wherein, the temperature measurement mechanism comprises a plurality of temperature measurement units for respectively measuring the current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer component component, including: the plurality of temperature measurement units respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component are a plurality of non-contact temperature sensors; Wherein, the temperature measurement mechanism includes a plurality of temperature measurement units for respectively measuring the current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer component component, and further includes: the internal structures of a plurality of non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component are the same; Wherein, the temperature measurement mechanism includes a plurality of temperature measurement units for respectively measuring the current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer component component, and further includes: a plurality of non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component have the same temperature measurement upper limit threshold and temperature measurement lower limit threshold; Among them, the temperature measurement mechanism includes multiple temperature measurement units, which are used to respectively measure the current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer component component. It also includes: multiple non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component are at equal distances from the change analysis device, the load storage component, the content detection component and the multi-layer component component.

[0014] Figure 3 FIG. 1 is an internal structural diagram of an electric meter amount application system according to a third embodiment of the present invention.

[0015] exist Figure 3 In, with Figure 1 Differently, the electric meter amount application system shown in the third embodiment of the present invention may also include: a photoelectric alarm mechanism, connected to the plurality of non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component, for performing corresponding temperature alarm actions based on the temperature measurement results of the plurality of non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component; Wherein, the photoelectric alarm mechanism is respectively connected to a plurality of non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component, and is used to perform corresponding temperature alarm actions based on the temperature measurement results of the plurality of non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component, including: the photoelectric alarm mechanism includes an optical alarm unit and an electrical alarm unit; Among them, the photoelectric alarm mechanism is respectively connected to multiple non-contact temperature sensors used for the change analysis equipment, the load storage component, the content detection component and the multi-layer component component, and is used to perform corresponding temperature alarm actions based on the temperature measurement results of the multiple non-contact temperature sensors used for the change analysis equipment, the load storage component, the content detection component and the multi-layer component component, and also includes: the optical alarm unit flashes at a set frequency to perform the temperature alarm action.

[0016] In addition, in the meter amount application system, the meter reading change amplitudes and starting values ​​of each meter reading corresponding to each historical time interval before the current moment, the known load information of the current meter user and the rated power of the current meter are synchronously input into the load identification model to run the load identification model, and the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model also includes: using a synchronous control component to complete the synchronous input of the meter reading change amplitudes and starting values ​​of each meter reading corresponding to each historical time interval before the current moment, the known load information of the current meter user and the rated power of the current meter.

[0017] The foregoing description of the exemplary embodiments of the present invention is provided for the purpose of illustration and description. It is not intended to be exhaustive or to limit the present invention to the exact form disclosed. Obviously, many modifications and variations are obvious to those skilled in the art. The exemplary embodiments are selected and described in order to best illustrate the principles of the present invention and its practical application, so that other persons skilled in the art can understand the various embodiments and various variations of the present invention applicable to the specific purpose contemplated. It is intended that the scope of the present invention be limited by the appended claims and their equivalents.

Claims

1. An electric meter amount application system, characterized in that: The system comprises: A load storage component, used to store known load information of the current meter user, wherein the known load information of the current meter user is the known number of loads used by the current meter user and the known rated power, operating voltage and operating resistance of each load used by the current meter user; A content detection component is used to obtain the change amplitude of each meter reading and the starting value of each meter reading corresponding to each historical time interval before the current moment of the current meter; A multi-layer assembly component is used to perform multiple learning on the deep neural network to complete the multi-layer assembly of the deep neural network, and output the deep neural network after performing the multiple learning as a load identification model; a change analysis device, connected to the load storage component, the content detection component and the multi-layer component, respectively, for synchronously inputting the change amplitude of each meter reading corresponding to each historical time interval before the current moment and the starting value of each meter reading, the known load information of the user of the current meter and the rated power of the current meter into the load identification model, so as to run the load identification model and obtain the load change identification of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model; A data display device, connected to the change analysis device, for receiving and displaying in real time the load change identification of the current electric meter within the entire time length of each historical time interval before the current moment; Wherein, the change amplitudes of each meter reading corresponding to each historical time interval before the current moment and the starting values ​​of each meter reading, the known load information of the current meter user and the rated power of the current meter are synchronously input into the load identification model to run the load identification model, and the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is obtained, including: when the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is 0B01, it is judged that the number of loads used by the current meter within the entire time length of each historical time interval before the current moment has a numerical change compared with the known number of loads used by the current meter user; Among them, the change amplitudes of each meter reading corresponding to each historical time interval before the current moment and the starting values ​​of each meter reading, the known load information of the current meter user and the rated power of the current meter are synchronously input into the load identification model to run the load identification model, and the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model includes: the duration of each time interval in each historical time interval before the current moment is equal, and the number of each historical time interval is proportional to the known number of loads used by the current meter user.

2. The electric meter amount application system as claimed in claim 1, characterized in that: Performing multiple learning on the deep neural network to complete the multi-layer formation of the deep neural network, and outputting the deep neural network after the multiple learning as the load identification model includes: the number of multiple learnings performed on the deep neural network is monotonically positively correlated with the known number of loads used by the current electricity meter user; Among them, the change amplitudes of each meter reading corresponding to each historical time interval before the current moment and the starting values ​​of each meter reading, the known load information of the current meter user and the rated power of the current meter are synchronously input into the load identification model to run the load identification model, and the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is obtained, which also includes: when the load change identifier of the current meter within the entire time length of each historical time interval before the current moment output by the load identification model is 0B00, it is determined that there is no numerical change in the number of loads used by the current meter within the entire time length of each historical time interval before the current moment compared with the known number of loads used by the current meter user.

3. The electric meter amount application system as claimed in claim 2, characterized in that: The system further comprises: A temperature measuring mechanism, comprising a plurality of temperature measuring units, for respectively measuring current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer assembly component; Among them, the temperature measurement mechanism includes multiple temperature measurement units, which are used to respectively measure the current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer component component, including: the multiple temperature measurement units respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component are multiple non-contact temperature sensors.

4. The electric meter amount application system as claimed in claim 3, characterized in that: The temperature measuring mechanism includes a plurality of temperature measuring units for respectively measuring the current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer component component. The temperature measuring mechanism also includes: the internal structures of the plurality of non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component are the same.

5. The electric meter amount application system as claimed in claim 3, characterized in that: The temperature measurement mechanism includes multiple temperature measurement units for respectively measuring the current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer component component. It also includes: multiple non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component have the same temperature measurement upper limit threshold and temperature measurement lower limit threshold.

6. The electric meter amount application system as claimed in claim 5, characterized in that: The temperature measuring mechanism includes a plurality of temperature measuring units for respectively measuring the current surface temperature values ​​of the change analysis device, the load storage component, the content detection component and the multi-layer component component, and also includes: a plurality of non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component are at equal distances from the change analysis device, the load storage component, the content detection component and the multi-layer component component.

7. The electric meter amount application system as claimed in claim 2, characterized in that: The system further comprises: The photoelectric alarm mechanism is respectively connected to multiple non-contact temperature sensors used for the change analysis device, the load storage component, the content detection component and the multi-layer component component, and is used to perform corresponding temperature alarm actions based on the temperature measurement results of the multiple non-contact temperature sensors used for the change analysis device, the load storage component, the content detection component and the multi-layer component component.

8. The electric meter amount application system as claimed in claim 7, characterized in that: The photoelectric alarm mechanism is respectively connected to multiple non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component, and is used to perform corresponding temperature alarm actions based on the temperature measurement results of the multiple non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component, including: the photoelectric alarm mechanism includes an optical alarm unit and an electrical alarm unit.

9. The electric meter amount application system as claimed in claim 8, characterized in that: The photoelectric alarm mechanism is respectively connected to multiple non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component, and is used to perform corresponding temperature alarm actions based on the temperature measurement results of the multiple non-contact temperature sensors respectively used for the change analysis device, the load storage component, the content detection component and the multi-layer component component. It also includes: the optical alarm unit flashes at a set frequency to perform the temperature alarm action.

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