Accelerated aging test system for intelligent electric meter in composite environment

Abstract

The invention discloses an accelerated aging test system for an intelligent electric meter in a composite environment, which relates to the field of aging test and comprises a data acquisition module, a power evaluation module, a battery evaluation module, a communication evaluation module, a fusion module and an environment-scheme matching module. The data acquisition module is used for generating a test data set, performing accelerated aging on the intelligent electric meter and acquiring aging data at the same time; the power evaluation module, the battery evaluation module and the general storage evaluation module respectively analyze the related data to obtain a power index, an electric quantity index and a general storage index; the fusion module obtains a test aging index; the environment-scheme matching module collects environment data of the target intelligent electric meter, and the environment data is matched with the test data set after being processed and converted to obtain an actual aging index of the target intelligent electric meter; compared with a traditional single stress test method, the scheme comprehensively considers multiple factors, and improves the accuracy of judging the aging degree of the intelligent electric meter.

Description

Technical Field

[0001] The present invention relates to the field of aging testing, and in particular to an accelerated aging testing system for smart meters under a composite environment. Background Art

[0002] With the rapid development of smart grids, smart meters, as key metering equipment, are crucial to ensuring stable grid operation. However, smart meters are often exposed to harsh environments such as high temperature and high humidity. Therefore, assessing the aging of smart meters has become an urgent issue.

[0003] Traditional smart meter aging test methods are mostly conducted under single stress conditions, which differ significantly from actual complex environments. They cannot accurately reflect the aging characteristics and reliability of meters under complex working conditions. Furthermore, the tests are time-consuming and difficult to adapt to the needs of large-scale production and rapid product iteration.

[0004] Accurately judging the aging degree of smart meters is a problem we need to solve. To this end, we now provide a smart meter accelerated aging test system under a complex environment. Summary of the Invention

[0005] The purpose of the present invention is to provide a system for testing the accelerated aging of smart meters under complex environments.

[0006] The purpose of the present invention can be achieved by the following technical solution: a system for accelerating aging testing of smart meters under a composite environment, comprising:

[0007] Data acquisition module: accelerates the aging of smart meters and collects aging data of smart meters after aging;

[0008] Power evaluation module: Analyzes the test voltage and test current to obtain the power index;

[0009] Battery evaluation module: processes the test power and obtains the power index;

[0010] Communication and storage evaluation module: Analyzes the test communication rate and test storage rate to obtain the communication and storage index;

[0011] Fusion module: merges the power index, electricity index, and storage index to obtain the aging index;

[0012] Environment-scheme matching module: collects the environmental data of the target smart meter and matches it with the corresponding test data set to obtain the aging index of the target smart meter.

[0013] Preferably, the specific process of performing accelerated aging on the smart meter and collecting aging data of the aged smart meter is as follows:

[0014] Generate different test data sets and uniquely number each test data set;

[0015] Build a corresponding aging environment based on the test data set, and accelerate the aging of the smart meter in the corresponding aging environment. After the aging is completed, the smart meter is left to stand for a period of time;

[0016] After the standing period is completed, the smart meter is operated under standard working conditions, sampling points are preset during the operation of the smart meter, and aging data of the smart meter is collected at the preset sampling points.

[0017] Preferably, the aging data includes test voltage, test current, test power, test communication rate and test storage rate.

[0018] Preferably, the process of analyzing the test voltage and the test current to obtain the power index is:

[0019] In the same rectangular coordinate system, the curves of the test voltage and the test current changing with time are drawn as the voltage curve and the current curve respectively, and the Pearson correlation coefficient between the two curves is calculated as the synchronization rate;

[0020] Obtain the ratio of the test voltage to the test current at each sampling point as the flow-pressure set, and obtain the fluctuation rate based on the flow-pressure set;

[0021] The volatility and synchronization rates are fused to obtain the difference index;

[0022] Perform function fitting on the voltage curve and the current curve to obtain the voltage function and the current function. Subtract the experimental voltage from the voltage function and take the absolute value as the voltage difference function; subtract the experimental current from the current function and take the absolute value as the current difference function.

[0023] The voltage function and the current function are integrated respectively, and the obtained results are used as the voltage deviation value and the current deviation value respectively. The voltage deviation value and the current deviation value are fused to obtain the deviation index;

[0024] According to the difference index and the offset index, the power index is obtained.

[0025] Preferably, the process of processing the test power to obtain the power index is:

[0026] Obtaining the first-order difference value of the test electricity at each sampling point, processing the first-order difference value of the test electricity at each sampling point, and obtaining a differential index;

[0027] Obtain the slope value at each sampling point, arrange the slope values at each sampling point in chronological order, record them as a slope sequence, set the sliding window size, and obtain the stable discharge rate of the smart meter based on the sliding window and slope sequence. Divide the stable discharge rate by the standard discharge rate to obtain the discharge index.

[0028] The discharge index and the differential index are fused to obtain the charge index.

[0029] Preferably, the process of analyzing the test communication rate and the test storage rate to obtain the communication and storage index is as follows:

[0030] Integrate the test communication rate and test storage rate at the same sampling point to obtain the communication storage rate at each sampling point;

[0031] A curve showing the change of the access rate over time is plotted as the access curve. A threshold line for the standard access rate is plotted on the access curve. The time spent below the threshold line is counted as the low-speed value. The low-speed value is divided by the total time corresponding to the access curve, and the result is taken as the low-value ratio.

[0032] The area ratio is obtained based on the area enclosed by the common curve and the threshold line;

[0033] The area ratio and low value ratio are data coupled to obtain the total storage index.

[0034] Preferably, the process of collecting environmental data of the target smart meter and matching the corresponding test data set according to the environmental data to obtain the actual aging index of the target smart meter is:

[0035] The environmental data include operating temperature, operating humidity, operating voltage, operating current, operating phase angle and operating time;

[0036] Processing the working temperature, working humidity, working voltage, working current and working phase angle to obtain the actual temperature, actual humidity, actual voltage, actual current and actual phase angle;

[0037] Convert actual temperature, actual humidity, actual voltage, actual current, actual phase angle and working time to obtain conversion data;

[0038] A test data set corresponding to the target smart meter is obtained according to the conversion data of the target smart meter, and a test aging index of the corresponding test data set is used as the actual aging index of the target smart meter.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention generates a series of test data sets by randomly generating numerical values of experimental data, generates a test environment according to the test data sets, collects aging data under the test environment, analyzes the aging data to obtain a power index, a power index, and a storage index, and further obtains an aging index; obtains conversion data by collecting and analyzing environmental data of a target smart meter, matches the conversion data with the experimental data in the test data set, and obtains the actual aging index of the target smart meter, thereby improving the accuracy of judging the aging degree of the smart meter. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0042] Figure 1 This is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0043] like Figure 1 As shown in the figure, the accelerated aging test system for smart meters under a composite environment includes:

[0044] Data acquisition module: accelerates the aging of smart meters and collects aging data of smart meters after aging;

[0045] Generate different test data sets through experimental data and uniquely number each test data set;

[0046] In detail, different experimental data can be combined by randomly generating numerical values of experimental data to form a test data set;

[0047] The experimental data include experimental temperature, experimental humidity, experimental voltage, experimental current, experimental phase angle and experimental test time;

[0048] Specifically, when generating the experimental temperature, experimental humidity, experimental voltage, experimental current, and experimental phase angle, the corresponding limit values of the smart meter must not be exceeded;

[0049] Specifically, the test dataset should contain a value for each type of data in the experimental data, and the values of at least one type of experimental data in different test datasets should be different;

[0050] Specifically, a unique number can be generated for each test data set by generating a hash value, thereby distinguishing different test data sets;

[0051] Build a corresponding aging environment based on the test data set, and accelerate the aging of the smart meter in the corresponding aging environment. After the aging is completed, the smart meter is left to stand for a period of time;

[0052] Specifically, the standing time cannot be less than 24 hours;

[0053] After the rest period is completed, the smart meter is operated under standard working conditions, sampling points are preset during the operation of the smart meter, and aging data of the smart meter is collected at the preset sampling points;

[0054] Specifically, under standard working conditions, the experimental voltage, experimental current, and experimental phase angle corresponding to the test data set are provided to the smart meter for measurement;

[0055] The aging data includes test voltage, test current, test power, test communication rate and test storage rate;

[0056] Specifically, the standard operating condition refers to the optimal operating environment of the smart meter. The standard operating condition described in this embodiment is: setting the ambient temperature to 25 degrees and the humidity to 40%;

[0057] Power evaluation module: Analyzes the test voltage and test current to obtain the power index;

[0058] In the same rectangular coordinate system, the curves of the test voltage and the test current changing with time are drawn as the voltage curve and the current curve respectively, and the Pearson correlation coefficient between the two curves is calculated as the synchronization rate;

[0059] Specifically, under normal circumstances, voltage and current changes are synchronized. However, as smart meters age, measurement accuracy decreases. The Pearson correlation coefficient reflects the correlation between voltage and current, providing a reference for the aging of smart meters. A higher synchronization rate indicates more accurate measurement and lower aging.

[0060] Obtain the ratio of the test voltage to the test current at each sampling point as the flow-pressure set, and obtain the fluctuation rate based on the flow-pressure set;

[0061] Specifically, the standard deviation of the elements in the flow pressure set is calculated, and the result is used as the volatility. The smaller the volatility, the lower the aging degree of the smart meter.

[0062] The volatility BD and synchronization rate TB are fused to obtain the difference index CYZ;

[0063] In detail, fusion processing refers to a data method used to combine data from multiple dimensions into one data, thereby avoiding the randomness caused by considering a single dimension;

[0064] Specifically, the volatility BD and the synchronization rate TB are fused using a preset difference formula, where the preset difference formula is:

[0065]

[0066] Among them, η1 and η2 represent the weighted impact factors corresponding to volatility BD and synchronization rate TB respectively;

[0067] Perform function fitting on the voltage curve and the current curve to obtain the voltage function and the current function. Subtract the experimental voltage from the voltage function and take the absolute value as the voltage difference function; subtract the experimental current from the current function and take the absolute value as the current difference function.

[0068] The voltage function and the current function are integrated respectively, and the obtained results are used as the voltage deviation value and the current deviation value respectively. The voltage deviation value DYP and the current deviation value DLP are fused to obtain the deviation index PYZ;

[0069] Specifically, the larger the voltage deviation and current deviation values are, the larger the measurement error is and the more serious the aging of the smart meter is;

[0070] Specifically, the voltage deviation value DYP and the current deviation value DLP are fused according to a preset offset formula, wherein the preset offset formula is:

[0071] PYZ=lg(DYP)*κ1+lg(DLP)*κ2;

[0072] Among them, κ1 and κ2 represent the weighted influence factors corresponding to the voltage deviation value DYP and the current deviation value DLP respectively;

[0073] According to the difference index and the offset index, the power index is obtained;

[0074] In detail, weighted influence factors corresponding to the difference index and the offset index are preset, and the difference index and the offset index are multiplied by their respective corresponding weighted influence factors and then added together to obtain a result as the power index.

[0075] Battery evaluation module: processes the test power and obtains the power index;

[0076] Obtaining the first-order difference value of the test electricity at each sampling point, processing the first-order difference value of the test electricity at each sampling point, and obtaining a differential index;

[0077] In detail, each sampling point is numbered, and the number is represented by i, i = 1, 2...n, n represents the total number of sampling points, and CF iRepresents the first-order difference value of the test power at the sampling point numbered i. The first-order difference value is the test power at the next sampling point minus the test power at the current sampling point. The result is the first-order difference value of the test power at the current sampling point. The larger the first-order difference value, the more serious the aging of the smart meter.

[0078] Specifically, substitute the first-order difference value of the electricity at each sampling point into the formula: Thus, the difference index is obtained, where CF i 标准 It represents the first-order difference value of the test power at the sampling point numbered i under standard working conditions of a well-functioning, unused smart meter. The larger the difference index, the more serious the aging of the smart meter.

[0079] Obtain the slope value at each sampling point, arrange the slope values at each sampling point in chronological order, record them as a slope sequence, set the sliding window size, and obtain the stable discharge rate of the smart meter based on the sliding window and slope sequence. Divide the stable discharge rate by the standard discharge rate to obtain the discharge index.

[0080] Specifically, the sliding window is made to slide one by one on the slope sequence. Each time it slides, the standard deviation of the corresponding slope value in the window is recorded, and the windows are numbered. The mean of the slope values corresponding to the window with the smallest standard deviation is taken as the stable discharge rate.

[0081] Specifically, the slope value of a sampling point = (the test power of the sampling point - the test power of the next sampling point) / the time between the two sampling points;

[0082] Specifically, as the battery ages, the stable discharge rate will continue to increase. Therefore, a larger discharge index means a more serious battery aging, that is, a more serious aging of the smart meter.

[0083] In detail, the standard discharge rate refers to the stable discharge rate of a smart meter that is fully functional and has not been used;

[0084] The discharge index x and the differential index y are fused to obtain the charge index DLZ;

[0085] In detail, the discharge index x and the differential index y are fused using a preset differential formula, wherein the preset differential formula is:

[0086]

[0087] Communication and storage evaluation module: Analyzes the test communication rate and test storage rate to obtain the communication and storage index;

[0088] Integrate the test communication rate and test storage rate at the same sampling point to obtain the communication storage rate at each sampling point;

[0089] Specifically, weighted impact factors corresponding to the test communication rate and the test storage rate are preset, and the test communication rate and the test storage rate are weighted based on the preset weighted impact factors, thereby obtaining the communication rate corresponding to the sampling point;

[0090] A curve showing the change of the access rate over time is plotted as the access curve. A threshold line for the standard access rate is plotted on the access curve. The time spent below the threshold line is counted as the low-speed value. The low-speed value is divided by the total time corresponding to the access curve, and the result is taken as the low-value ratio.

[0091] In detail, the standard access rate is obtained based on the access rate analysis of new, unused, and fully functional smart meters;

[0092] The area ratio is obtained based on the area enclosed by the common curve and the threshold line;

[0093] Specifically, the area enclosed by the total storage curve and the threshold line is divided into two parts, the area above the threshold line is taken as the high area, and the area below the threshold line is taken as the low area. The low area is divided by the high area to obtain the area ratio.

[0094] The area ratio MJ and the low value ratio DZ are coupled to obtain the total storage index TCZ;

[0095] In detail, through the formula: Data coupling is performed on the area ratio MJ and the low value ratio DZ, where sinh represents the hyperbolic sine function.

[0096] Fusion module: merges the power index GLZ, the power index DLZ, and the total storage index TCZ to obtain the test aging index LHZ;

[0097] In detail, through the formula:

[0098] The aging index LHZ is obtained, where r1, r2, and r3 are the weight influencing factors corresponding to the power index GLZ, the charge index DLZ, and the total storage index TCZ, respectively.

[0099] Environment-Solution Matching Module: This module collects the environmental data of the target smart meter and matches it with the corresponding test data set to obtain the actual aging index of the target smart meter.

[0100] The environmental data include operating temperature, operating humidity, operating voltage, operating current, operating phase angle and operating time;

[0101] In detail, environmental data refers to the data collected by the target smart meter during its actual operation, in units of days;

[0102] Processing the working temperature, working humidity, working voltage, working current and working phase angle to obtain the actual temperature, actual humidity, actual voltage, actual current and actual phase angle;

[0103] In detail, using operating temperature as an example, the processing of other data refers to the processing of operating temperature. The operating temperature is divided into intervals, and the time the target smart meter spends in each interval is counted as the working hours value of the corresponding interval. The working hours value is divided by the sum of the working hours values of all intervals of the target smart meter, and the result is the time ratio of the corresponding interval.

[0104] The temperature factor of each interval is preset. The higher the interval temperature value, the larger the corresponding temperature factor. The weight influence factor of the temperature factor and the time ratio is preset. The time ratio and the temperature factor are weighted and the result is used as the temperature weight value of the corresponding interval.

[0105] Multiply the temperature value of each interval by the median temperature of the corresponding interval and then sum them up. The result is the actual temperature.

[0106] Specifically, the median temperature of an interval refers to the median of the interval temperatures;

[0107] Convert actual temperature, actual humidity, actual voltage, actual current, actual phase angle and working time to obtain conversion data;

[0108] In detail, the conversion data includes conversion temperature, conversion humidity, conversion voltage, conversion current, conversion phase angle and conversion time;

[0109] In detail, taking the actual temperature as an example to obtain the conversion temperature, the conversion process of the actual humidity, actual voltage, actual current, and actual phase angle is the same as the actual temperature. Substituting the actual temperature into the conversion formula, the actual reaction coefficient k is obtained, where the conversion formula is:

[0110]

[0111] Among them, A represents the pre-factor, E a represents the activation energy of the reaction, R represents the gas constant, and T represents the actual temperature. The pre-factor and activation energy can be obtained by consulting relevant literature based on the material of the equipment or the aging reaction;

[0112] Preset the acceleration factor and divide the working time by the acceleration factor to get the conversion time;

[0113] Multiply the actual reaction coefficient k by the working time to get the aging value, divide the aging value by the conversion time to get the conversion coefficient v, and substitute the conversion coefficient v into the conversion formula to obtain the conversion temperature;

[0114] According to the conversion data of the target smart meter, a test data set corresponding to the target smart meter is obtained, and the test aging index of the corresponding test data set is used as the actual aging index of the target smart meter;

[0115] In detail, the conversion data is matched with the test data set. If the match is successful, the test aging index corresponding to the successfully matched test data set is used as the actual aging index of the target meter. A successful match means that the conversion temperature = experimental temperature, the conversion humidity = experimental humidity, the conversion voltage = experimental voltage, the conversion current = experimental current, the conversion time = experimental test time, and the conversion phase angle = experimental phase angle.

[0116] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as a preferred embodiment as above, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any modification or equivalent replacement of the above embodiments made according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of the technical solution of the present invention.

Claims

1. The accelerated aging test system for smart meters under complex environments is characterized by: include: Data acquisition module: accelerates the aging of smart meters and collects aging data of smart meters after aging; Power evaluation module: Analyzes the test voltage and test current to obtain the power index; Battery evaluation module: processes the test power and obtains the power index; Communication and storage evaluation module: Analyzes the test communication rate and test storage rate to obtain the communication and storage index; Fusion module: merges the power index, electricity index and storage index to obtain the test aging index; Environment-scheme matching module: collects the environmental data of the target smart meter and matches it with the corresponding test data set to obtain the actual aging index of the target smart meter.

2. The accelerated aging test system for smart meters under a complex environment according to claim 1, characterized in that: The specific process of accelerating the aging of smart meters and collecting aging data of the aged smart meters is as follows: Generate different test data sets through experimental data and uniquely number each test data set; Build a corresponding aging environment based on the test data set, and accelerate the aging of the smart meter in the corresponding aging environment. After the aging is completed, the smart meter is left to stand for a period of time; After the standing period is completed, the smart meter is operated under standard working conditions, sampling points are preset during the operation of the smart meter, and aging data of the smart meter is collected at the preset sampling points.

3. The accelerated aging test system for smart meters under a complex environment according to claim 2, characterized in that: The experimental data include experimental temperature, experimental humidity, experimental voltage, experimental current, experimental phase angle and experimental test time; The aging data includes a test voltage, a test current, a test power, a test communication rate, and a test storage rate.

4. The accelerated aging test system for smart meters under a complex environment according to claim 3, characterized in that: The process of analyzing the test voltage and test current to obtain the power index is as follows: In the same rectangular coordinate system, the curves of the test voltage and the test current changing with time are drawn as the voltage curve and the current curve respectively, and the Pearson correlation coefficient between the two curves is calculated as the synchronization rate; Obtain the ratio of the test voltage to the test current at each sampling point as the flow-pressure set, and obtain the fluctuation rate based on the flow-pressure set; The volatility and synchronization rates are fused to obtain the difference index; Perform function fitting on the voltage curve and the current curve to obtain the voltage function and the current function. Subtract the experimental voltage from the voltage function and take the absolute value as the voltage difference function; subtract the experimental current from the current function and take the absolute value as the current difference function. The voltage function and the current function are integrated respectively, and the obtained results are used as the voltage deviation value and the current deviation value respectively. The voltage deviation value and the current deviation value are fused to obtain the deviation index; According to the difference index and the offset index, the power index is obtained.

5. The accelerated aging test system for smart meters under a complex environment according to claim 4, characterized in that: The process of processing the test power and obtaining the power index is as follows: Obtaining the first-order difference value of the test electricity at each sampling point, processing the first-order difference value of the test electricity at each sampling point, and obtaining a differential index; Obtain the slope value at each sampling point, arrange the slope values at each sampling point in chronological order, record them as a slope sequence, set the sliding window size, and obtain the stable discharge rate of the smart meter based on the sliding window and slope sequence. Divide the stable discharge rate by the standard discharge rate to obtain the discharge index. The discharge index and the differential index are fused to obtain the charge index.

6. The accelerated aging test system for smart meters under a complex environment according to claim 5, characterized in that: The process of analyzing the test communication rate and test storage rate to obtain the communication and storage index is as follows: Integrate the test communication rate and test storage rate at the same sampling point to obtain the communication storage rate at each sampling point; A curve showing the change of the access rate over time is plotted as the access curve. A threshold line for the standard access rate is plotted on the access curve. The time spent below the threshold line is counted as the low-speed value. The low-speed value is divided by the total time corresponding to the access curve, and the result is taken as the low-value ratio. The area ratio is obtained based on the area enclosed by the common curve and the threshold line; The area ratio and low value ratio are data coupled to obtain the total storage index.

7. The accelerated aging test system for smart meters under a complex environment according to claim 6, characterized in that: The process of collecting the environmental data of the target smart meter and matching it with the corresponding test data set to obtain the actual aging index of the target smart meter is as follows: The environmental data include operating temperature, operating humidity, operating voltage, operating current, operating phase angle and operating time; Processing the working temperature, working humidity, working voltage, working current and working phase angle to obtain the actual temperature, actual humidity, actual voltage, actual current and actual phase angle; Convert actual temperature, actual humidity, actual voltage, actual current, actual phase angle and working time to obtain conversion data; A test data set corresponding to the target smart meter is obtained according to the conversion data of the target smart meter, and a test aging index of the corresponding test data set is used as the actual aging index of the target smart meter.

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