An electric meter health state evaluation method and system

Abstract

The application discloses an electric meter health state evaluation method and system, including obtaining electric meter running state data, obtaining electric meter running state values by processing the electric meter running state data, identifying the electric meter running state based on the electric meter running state values to obtain electric meter state signals, obtaining the overall rating of the electric meter running state in a target unit, and identifying the maintenance and management of the target unit based on the overall rating of the electric meter running state in the target unit. The application obtains the electric meter running state values by processing overload influence data and environmental interference data. In the process of obtaining the electric meter running state values, the overload current of the electric meter, the temperature in the overload current period, the environmental humidity of the electric meter, and the dust accumulation amount of the electric meter are combined, that is, the actual running data and the environmental data are processed in multiple dimensions, so that the obtained electric meter running state values are more accurate in representing the electric meter running state, and the rating reliability of the electric meter is stronger.

Description

Technical Field

[0001] This invention relates to the field of electricity metering technology, specifically to a method and system for evaluating the health status of electricity meters. Background Technology

[0002] As an important terminal of the smart grid, smart meters not only have the basic functions of traditional meters such as data collection and metering, but also meet the requirements of remote communication, information processing, automatic control and various extended functions, playing an important supporting role in the stable operation of the power grid.

[0003] With rapid economic and social development, the increasing intelligence of electricity meters, and the expanding coverage of smart meter applications and electricity information collection systems, operational faults are increasingly exhibiting characteristics of suddenness, multifacetedness, complexity, and difficulty in reproducing. Simultaneously, economic development has also promoted changes in the atmospheric and electromagnetic environments, resulting in electricity meter operating environments exhibiting various extreme climatic characteristics and complex load characteristics. Traditional electricity meter operational status assessment and maintenance primarily rely on on-site inspections and concurrent rotational sampling checks. This mainly involves periodically calibrating meters on-site with field instruments to obtain status information such as meter errors, voltage drops, and faults, thereby evaluating and addressing the meter's condition.

[0004] There is an urgent need to improve the ability to accurately and promptly detect out-of-tolerance errors in electricity meter operation. Accurately evaluating the operating status of electricity meters is an important standard for measuring the management level of power companies.

[0005] In recent years, with the development of multi-source information fusion technology and data mining technology, remote operational status assessment of electricity metering devices has attracted widespread attention. To address the challenges of ensuring the accuracy and reliability of electricity metering in various regions, a remote monitoring system has been established. This system measures and stores users' electricity consumption data, collects information on power outages and other events, and periodically communicates with a host computer to transmit the data to the management department's data center. Through data interaction and online monitoring, the operating status of the meters can be understood in real time, enabling fault analysis and remote maintenance of the meters.

[0006] Existing technologies for identifying the health status of electricity meters lack assessment of the meter's operating conditions and installation environment. Therefore, this invention proposes a method and system for evaluating the health status of electricity meters. Summary of the Invention

[0007] The purpose of this invention is to provide a method and system for evaluating the health status of an electricity meter. This method obtains the meter's operating status data by processing overload impact data and environmental interference data. In the process of obtaining the meter's operating status value, the method combines the meter's overload current, the temperature during the overload current period, the ambient humidity of the meter, and the amount of dust accumulated on the meter. In other words, it processes the data from multiple dimensions, including actual operating data and ambient environmental data.

[0008] The objective of this invention can be achieved through the following technical solutions:

[0009] A method for evaluating the health status of an electricity meter includes the following steps:

[0010] Step 1: Obtain the meter's operating status data, and process the meter's operating status data to obtain the meter's operating status value;

[0011] Step 2: Identify the meter's operating status based on the meter's operating status value to obtain the meter's status signal;

[0012] The meter status signals include level 1, level 2, and level 3 indication signals;

[0013] Step 3: Obtain the overall rating of the operating status of the meters in the target unit, and identify the maintenance and management of the target unit based on the overall rating of the operating status of the meters in the target unit.

[0014] As a further aspect of the present invention: in step one, the meter operating status data includes overload impact data and environmental interference data;

[0015] The overload value is obtained by processing the overload impact data;

[0016] The interference value is obtained by processing the environmental interference data.

[0017] As a further aspect of the present invention: the process of obtaining the meter's operating status value is as follows:

[0018] Mark the overload value of the overload impact data as GZ;

[0019] The interference value of the environmental interference data is labeled as GR;

[0020] Through formula The meter's operating status value DYZ is calculated, where Gn is the total operating time of the meter.

[0021] As a further aspect of the present invention: the process of obtaining overload impact data is as follows:

[0022] Obtain the operating current of the electricity meter during operation, and record the time period when the operating current of the electricity meter exceeds the rated current and is greater than the preset duration as the non-standard time period of the electricity meter.

[0023] Obtain the total duration of all non-standard time periods of all electricity meters within the cycle, and calculate the ratio of the total duration of all non-standard time periods of all electricity meters to the total duration of the cycle to obtain the non-standard time factor;

[0024] Acquire temperature and sound data from the electricity meter during unconventional time periods;

[0025] The temperature data refers to the maximum temperature value during the unconventional time period of the electricity meter.

[0026] The sound data represents the maximum decibel value during unconventional time periods of the electricity meter.

[0027] The maximum temperature value and the maximum decibel value during the unconventional time period of the electricity meter are weighted and processed to obtain the behavioral data of the electricity meter during the unconventional time period, which is denoted as Ywi.

[0028] As a further aspect of the present invention: The behavioral data of all meters during non-standard time periods within the cycle are processed, i.e., using a formula... The overload value GZ of the overload impact data is calculated, where gt is the unconventional time factor;

[0029] i = 1, 2, ..., i; where i is the number of irregular time periods of the meter within the cycle.

[0030] As a further aspect of the present invention: the process for obtaining the interference value of environmental interference data is as follows:

[0031] The cycle is divided into several time units of equal length, and the humidity value of the meter installation area is obtained at the middle moment of each time unit.

[0032] The humidity value is obtained by monitoring a humidity sensor installed in the area where the electricity meter is installed.

[0033] Sum the temperature values ​​for all time periods and take the average to obtain the total humidity value from the meter.

[0034] The humidity factor of the meter is obtained by comparing the total humidity value of the meter with the standard humidity value.

[0035] Using the dust detection time point at the midpoint of the cycle, obtain the dust content on the outer casing and inside the meter at the corresponding dust detection time point;

[0036] The average dust accumulation of the meter is obtained by summing the dust content on the outer casing of the meter with the dust content inside the meter.

[0037] The average dust accumulation value of the electricity meter is compared with the standard dust accumulation value to obtain the dust accumulation factor of the electricity meter.

[0038] As a further aspect of the present invention: the humidity factor of the electricity meter is labeled as Ds;

[0039] The ash accumulation factor of the electricity meter is labeled as Dh;

[0040] The interference value GR of the environmental interference data is calculated using the formula GR=σ*(Ds+Dh); σ is a preset correction coefficient.

[0041] As a further aspect of the present invention: a first limit value DYZ1 is preset for the threshold value of the meter's operating status, and a second limit value DYZ2 is preset for the threshold value of the meter's operating status, wherein DYZ1 <DYZ2;

[0042] If DYZ < DYZ1, it indicates that the meter is in poor operating condition and a level one warning signal is generated.

[0043] If DYZ1≤DYZ<DYZ2, the meter is operating at a moderate level and generates a secondary prompt signal.

[0044] If DYZ≥DYZ2, the meter is in good operating condition and generates a level 3 prompt signal.

[0045] As a further aspect of the present invention: all meters in the target unit are classified according to the level of the prompt signal to complete the overall status assessment of the target unit.

[0046] As another implementation of this solution: a system for evaluating the health status of electricity meters, comprising:

[0047] The data acquisition module is used to acquire the meter's operating status data, process the meter's operating status data to obtain the meter's operating status value, and send the meter's operating status value to the cloud management platform;

[0048] The status verification module receives the meter operating status value transmitted by the cloud management platform, identifies the meter operating status based on the meter operating status value, and obtains the meter status signal;

[0049] The meter status signals include level 1, level 2, and level 3 indication signals;

[0050] The maintenance management module obtains the overall rating of the operating status of the meters in the target unit based on the meter status signal, and identifies the maintenance management of the target unit based on the overall rating of the operating status of the meters in the target unit.

[0051] The beneficial effects of this invention are as follows: This invention obtains the operating status data of the electricity meter by processing overload impact data and environmental interference data to obtain the operating status value of the electricity meter. In the process of obtaining the operating status value of the electricity meter, the overload current of the electricity meter, the temperature during the overload current period, the ambient humidity of the electricity meter, and the amount of dust accumulation on the electricity meter are combined. That is, multiple dimensions of actual operating data and ambient environment data are processed to make the obtained operating status value of the electricity meter more accurate in representing the operating status of the electricity meter and to make the rating of the electricity meter more reliable. Attached Figure Description

[0052] The invention will now be further described with reference to the accompanying drawings.

[0053] Figure 1 This is a flowchart of a method for evaluating the health status of an electricity meter according to an embodiment of the present invention;

[0054] Figure 2 This is a flowchart of a system for evaluating the health status of an electricity meter according to an embodiment of the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] Example 1

[0057] Please see Figure 1 As shown, this invention provides a method for evaluating the health status of an electricity meter, comprising the following steps:

[0058] Step 1: Obtain the meter's operating status data, and process the meter's operating status data to obtain the meter's operating status value;

[0059] Step 2: Identify the meter's operating status based on the meter's operating status value to obtain the meter's status signal;

[0060] The meter status signals include level 1, level 2, and level 3 indication signals;

[0061] Step 3: Obtain the overall rating of the operating status of the meters in the target unit, and identify the maintenance and management of the target unit based on the overall rating of the operating status of the meters in the target unit.

[0062] In step one, the meter's operating status data includes overload impact data and environmental interference data;

[0063] The process of obtaining overload impact data is as follows:

[0064] Obtain the operating current of the electricity meter during operation, and record the time period when the operating current of the electricity meter exceeds the rated current and is greater than the preset duration as the non-standard time period of the electricity meter.

[0065] Obtain the total duration of all non-standard time periods of all electricity meters within the cycle, and calculate the ratio of the total duration of all non-standard time periods of all electricity meters to the total duration of the cycle to obtain the non-standard time factor;

[0066] The duration of the cycle includes, but is not limited to, 3 hours, 1 day, or 3 days.

[0067] Acquire temperature and sound data from the electricity meter during unconventional time periods;

[0068] The temperature data refers to the maximum temperature value during the unconventional time period of the electricity meter.

[0069] The sound data represents the maximum decibel value during unconventional time periods of the electricity meter.

[0070] The maximum temperature value and the maximum decibel value during the unconventional time period of the electricity meter are weighted and processed to obtain the behavioral data of the electricity meter during the unconventional time period, which is denoted as Ywi.

[0071] In a specific embodiment, the maximum temperature value during the unconventional time period of the electricity meter is denoted as Yi, the maximum decibel value during the unconventional time period of the electricity meter is denoted as Wi, the weight ratio of the maximum temperature value Yi during the unconventional time period of the electricity meter is divided into n1, and the weight ratio of the maximum decibel value Wi during the unconventional time period of the electricity meter is divided into n2.

[0072] The behavioral data Ywi of the electricity meter during irregular time periods is calculated according to the formula Ywi=Y i*n1+W i*n2, where n1 and n2; and n1+n2=1;

[0073] The data on the behavior of all electricity meters during irregular time periods within the cycle are processed, i.e., through a formula. The overload value GZ of the overload impact data is calculated, where gt is the unconventional time factor;

[0074] i = 1, 2, ..., i; where i is the number of irregular time periods of the meter within the cycle.

[0075] The process of acquiring environmental interference data is as follows:

[0076] The cycle is divided into several time units of equal length, and the humidity value of the meter installation area is obtained at the middle moment of each time unit.

[0077] The humidity value is obtained by monitoring a humidity sensor installed in the area where the electricity meter is installed.

[0078] Sum the temperature values ​​for all time periods and take the average to obtain the total humidity value from the meter.

[0079] The humidity factor of the meter is obtained by comparing the total humidity value of the meter with the standard humidity value.

[0080] The standard humidity value is the humidity value under ideal operating conditions of the meter.

[0081] Using the dust detection time point at the midpoint of the cycle, obtain the dust content on the outer casing and inside the meter at the corresponding dust detection time point;

[0082] The average dust accumulation of the meter is obtained by summing the dust content on the outer casing of the meter with the dust content inside the meter.

[0083] The average dust accumulation value of the electricity meter is compared with the standard dust accumulation value to obtain the dust accumulation factor of the electricity meter.

[0084] The standard ash accumulation value is the ash accumulation value under ideal operating conditions of the electricity meter;

[0085] The process for obtaining dust content is as follows:

[0086] W1: Collect air samples of the same volume both inside and outside the meter casing;

[0087] The collection methods include sedimentation or filtration.

[0088] W2: Collect dust particles collected from the outer casing and the inside of the meter onto a filter membrane of known mass, respectively;

[0089] Weigh the filter membrane before and after sampling, calculate the difference, and obtain the mass of the dust.

[0090] W3: Calculate the ratio of dust mass to sampling volume to obtain the dust content of the meter casing and the meter interior, respectively;

[0091] The humidity factor of the electricity meter is labeled as Ds;

[0092] The ash accumulation factor of the electricity meter is labeled as Dh;

[0093] The interference value GR of the environmental interference data is calculated using the formula GR=σ*(Ds+Dh); σ is a preset correction coefficient.

[0094] Through formula The meter's operating status value DYZ is calculated, where Gn is the total operating time of the meter.

[0095] The first limit value of the preset electricity meter operating status threshold is DYZ1, and the second limit value of the preset electricity meter operating status threshold is DYZ2, wherein DYZ1 <DYZ2;

[0096] If DYZ < DYZ1, it indicates that the meter is in poor operating condition and a level one warning signal is generated.

[0097] If DYZ1≤DYZ<DYZ2, the meter is operating at a moderate level and generates a secondary prompt signal.

[0098] If DYZ≥DYZ2, the meter is in good operating condition and generates a level 3 prompt signal;

[0099] When the meter receives a Level 1 warning signal, it indicates that the meter is in poor operating condition during the current period and needs to be repaired or replaced in a timely manner.

[0100] When the electricity meter receives a level 2 warning signal, it indicates that the meter's operating condition is generally poor during the current period and requires regular maintenance and management.

[0101] When the meter receives a Level 3 warning signal, it indicates that the meter is operating well during the current period and no action is required.

[0102] Taking a single building as the target unit, obtain the meter operating status values ​​of all electricity meters in the target unit, and classify all electricity meters in the target unit into one level, two level, or three level prompt signal according to the meter operating status values;

[0103] Obtain the number of meters within the target unit that are within the first-level prompt signal, calculate the ratio of the meters within the first-level prompt signal to the total number of the target unit, and record the first-level prompt base as D1;

[0104] Obtain the number of meters within the target unit that are within the secondary prompt signal, calculate the ratio of the meters within the secondary prompt signal to the total number of meters in the target unit, and record the secondary prompt base as D2;

[0105] Obtain the number of meters within the target unit that are within the level 3 prompt signal, calculate the ratio of the meters within the level 3 prompt signal to the total number of meters in the target unit, and record the level 3 prompt base as D3;

[0106] When the base value D3 of the third-level prompt is greater than or equal to 0.9, it indicates that the overall operating status of the electricity meter in the target unit is very good.

[0107] When 0.9 > Level 3 prompt base value D3 ≥ 0.6, it indicates that the overall operating status of the electricity meter in the target unit is good;

[0108] When 0.6 > Level 3 prompt base value D3 ≥ 0.3, it indicates that the overall operating status of the meter in the target unit is very average.

[0109] When the base value D3 of the third-level prompt is less than 0.3, it indicates that the overall operating status of the electricity meter in the target unit is very poor.

[0110] When managers perform water meter maintenance on target units, they prioritize units with very poor overall meter operation. Because the overall meter operation of the target unit is very poor, the probability of meter failure is high. When the meter fails, it can cause partial or complete power outages in the target unit, disrupting the lives of residents in the target unit.

[0111] Example 2

[0112] Please see Figure 2 As shown, this invention is a system for evaluating the health status of electricity meters, including a data acquisition module, a status verification module, a maintenance management module, and a cloud management platform:

[0113] The data acquisition module is used to acquire the meter's operating status data, process the meter's operating status data to obtain the meter's operating status value, and send the meter's operating status value to the cloud management platform;

[0114] The status verification module receives the meter operating status value transmitted by the cloud management platform, identifies the meter operating status based on the meter operating status value, and obtains the meter status signal;

[0115] The meter status signals include level 1, level 2, and level 3 indication signals;

[0116] The maintenance management module obtains the overall rating of the operating status of the meters in the target unit based on the meter status signal, and identifies the maintenance management of the target unit based on the overall rating of the operating status of the meters in the target unit.

[0117] One of the core aspects of this invention is that by acquiring the operating status data of the electricity meter, that is, by processing the overload impact data and environmental interference data to obtain the operating status value of the electricity meter, the operating status value of the electricity meter is obtained by combining the overload current of the electricity meter, the temperature during the overload current period, the ambient humidity of the electricity meter, and the amount of dust accumulation on the electricity meter. In other words, the data is processed from multiple dimensions of actual operating data and ambient environmental data, so that the obtained operating status value of the electricity meter can more accurately represent the operating status of the electricity meter and the rating of the electricity meter is more reliable.

[0118] One of the core aspects of this invention is that, based on the meter's rating indicator signal, all meters in the target unit (building) are summarized and organized to identify the urgency of meter replacement or maintenance in the target unit, thereby minimizing disruption to users' lives caused by meter malfunctions.

[0119] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for evaluating the health status of an electricity meter, characterized in that, Includes the following steps: Step 1: Obtain the meter's operating status data, and process the meter's operating status data to obtain the meter's operating status value; The meter's operating status data includes overload impact data and environmental interference data; The overload value is obtained by processing the overload impact data; The interference value is obtained by processing the environmental interference data; The process of obtaining the meter's operating status value is as follows: Mark the overload value of the overload impact data as GZ; The interference value of the environmental interference data is labeled as GR; Through formula The meter's operating status value DYZ is calculated, where Gn is the total operating time of the meter; Step 2: Identify the meter's operating status based on the meter's operating status value to obtain the meter's status signal; The meter status signals include level 1, level 2, and level 3 indication signals; Step 3: Obtain the overall rating of the operating status of the meters in the target unit, and identify the maintenance and management of the target unit based on the overall rating of the operating status of the meters in the target unit.

2. The method for evaluating the health status of an electricity meter according to claim 1, characterized in that, The process of obtaining overload impact data is as follows: Obtain the operating current of the electricity meter during operation, and record the time period when the operating current of the electricity meter exceeds the rated current and is greater than the preset duration as the non-standard time period of the electricity meter. Obtain the total duration of all non-standard time periods of all electricity meters within the cycle, and calculate the ratio of the total duration of all non-standard time periods of all electricity meters to the total duration of the cycle to obtain the non-standard time factor; Acquire temperature and sound data from the electricity meter during unconventional time periods; The temperature data refers to the maximum temperature value during the unconventional time period of the electricity meter. The sound data represents the maximum decibel value during unconventional time periods of the electricity meter. The maximum temperature value and the maximum decibel value during the unconventional time period of the electricity meter are weighted and processed to obtain the behavioral data of the electricity meter during the unconventional time period, which is denoted as Ywi.

3. The method for evaluating the health status of an electricity meter according to claim 2, characterized in that, The data on the behavior of all electricity meters during irregular time periods within the cycle are processed, i.e., through a formula. The overload value GZ of the overload impact data is calculated, where gt is the unconventional time factor; =1, 2, ..., ;in This represents the number of non-standard time periods for the meter within the cycle.

4. The method for evaluating the health status of an electricity meter according to claim 1, characterized in that, The process of obtaining the interference value of environmental interference data is as follows: The cycle is divided into several time units of equal length, and the humidity value of the meter installation area is obtained at the middle moment of each time unit. The humidity value is obtained by monitoring a humidity sensor installed in the area where the electricity meter is installed. Sum the temperature values ​​for all time periods and take the average to obtain the total humidity value from the meter. The humidity factor of the meter is obtained by comparing the total humidity value of the meter with the standard humidity value. Using the dust detection time point at the midpoint of the cycle, obtain the dust content on the outer casing and inside the meter at the corresponding dust detection time point; The average dust accumulation of the meter is obtained by summing the dust content on the outer casing of the meter with the dust content inside the meter. The average dust accumulation value of the electricity meter is compared with the standard dust accumulation value to obtain the dust accumulation factor of the electricity meter.

5. The method for evaluating the health status of an electricity meter according to claim 4, characterized in that, The humidity factor of the electricity meter is labeled as Ds; The ash accumulation factor of the electricity meter is labeled as Dh; Through formula The interference value GR of the environmental interference data was calculated. Preset correction factor.

6. The method for evaluating the health status of an electricity meter according to claim 1, characterized in that, The first limit value of the preset electricity meter operating status threshold is DYZ1, and the second limit value of the preset electricity meter operating status threshold is DYZ2, wherein DYZ1 <DYZ2; If DYZ < DYZ1, it indicates that the meter is in poor operating condition and a level one warning signal is generated. If DYZ1≤DYZ<DYZ2, the meter is operating at a moderate level and generates a secondary prompt signal. If DYZ≥DYZ2, the meter is in good operating condition and generates a level 3 prompt signal.

7. The method for evaluating the health status of an electricity meter according to claim 6, characterized in that, Based on the level of the prompt signal, all meters in the target unit are classified and processed to complete the overall status assessment of the target unit.

8. A system for evaluating the health status of an electricity meter, characterized in that, include: The data acquisition module is used to acquire the meter's operating status data, process the meter's operating status data to obtain the meter's operating status value, and send the meter's operating status value to the cloud management platform; The meter's operating status data includes overload impact data and environmental interference data; The overload value is obtained by processing the overload impact data; The interference value is obtained by processing the environmental interference data; The process of obtaining the meter's operating status value is as follows: Mark the overload value of the overload impact data as GZ; The interference value of the environmental interference data is labeled as GR; Through formula The meter's operating status value DYZ is calculated, where Gn is the total operating time of the meter; The status verification module receives the meter operating status value transmitted by the cloud management platform, identifies the meter operating status based on the meter operating status value, and obtains the meter status signal; The meter status signals include level 1, level 2, and level 3 indication signals; The maintenance management module obtains the overall rating of the operating status of the meters in the target unit based on the meter status signal, and identifies the maintenance management of the target unit based on the overall rating of the operating status of the meters in the target unit.

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