Method and system for testing software power-on detection reliability of intelligent electric energy meter and medium

Abstract

The invention discloses an intelligent electric energy meter software power-on detection reliability test method and system and a medium, and the method comprises the steps: identifying tested intelligent electric energy meters at the output end of voltage drop simulation equipment, and enabling the number value of the tested intelligent electric energy meters to be related to the loading capability of the voltage drop simulation equipment; collecting the power-on pulse width of the tested intelligent electric energy meter, and setting the parameters of the voltage drop simulation equipment based on the power-on pulse width; the tested intelligent electric energy meter is initialized so as to perform a power-on reliability test on the tested intelligent electric energy meter, and the power-on reliability test specifically comprises an extreme voltage drop test; and obtaining a reliability test result based on the load record of the tested intelligent electric energy meter, the test result including test failure and test reliability. According to the method, the problem that the power-on state of the intelligent electric energy meter is misjudged when the instantaneous voltage drops can be reduced, the reliability of a test result is further improved, and the reliability of the electric energy meter in actual use is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power-off and power-on detection, and more specifically to a reliability testing method, system and medium for power-on detection of smart electric energy meter software. Background Art

[0002] With the rapid development of modern industrial technology, the structure of the power grid has become increasingly complex and changeable; at the same time, the integration and intelligence of the energy meter have gradually increased, the functions have become more and more complex, and the tasks that the energy meter software has to handle have increased. Therefore, it is particularly important to detect whether the meter works normally under various harsh environments on site. Especially in some overseas markets, the power grid environment is more complex and extreme than the domestic environment, which makes it more difficult for overseas smart energy meter reliability testing to fit the actual environment.

[0003] For the power-off reliability test of smart energy meters, the traditional test method is to install a certain number of energy meters on the energy meter inspection device, and then conduct a power-off experiment for a period of time, and analyze and judge the reliability of the meter by regularly reading the power-off event records, power-off times, load records and other stored data in the energy meter. However, this is a large workload and time-consuming, and there is a possibility that some energy meters are abnormal and not discovered. For example, after an instantaneous power on and off, the energy meter may actually be powered on, but the energy meter software does not detect it and judges it to be in a power-off state, and some functions are no longer executed (such as no longer recording load records, settlement, etc.). Summary of the invention

[0004] The purpose of the present invention is to provide a smart electric energy meter software power-on detection reliability test method, system and medium, which can reduce the problem of misjudgment of the power-on state when the smart electric energy meter experiences an instantaneous voltage drop, further improve the reliability of the test results, and improve the reliability of the electric energy meter in actual use.

[0005] A first aspect of the present invention provides a method for testing the reliability of power-on detection of smart electric energy meter software, comprising the following steps:

[0006] Identify the smart electric energy meter under test at the output end of the voltage drop simulation device, wherein the quantity value of the smart electric energy meter under test is related to the load capacity of the voltage drop simulation device;

[0007] Collecting the power-on pulse width of the smart electric energy meter under test, and setting the voltage drop simulation device parameters based on the power-on pulse width;

[0008] Initializing the smart electric energy meter under test to perform a power-on reliability test on the smart electric energy meter under test, specifically including an extreme voltage drop test;

[0009] A reliability test result is obtained based on the load record of the tested smart electric energy meter, wherein the test result includes a test failure and a test reliability.

[0010] In this solution, the smart electric energy meter under test for identifying the output end of the voltage drop simulation device specifically includes:

[0011] Extracting the load capacity corresponding to the voltage drop simulation device, wherein the load capacity represents the number of smart electric energy meters that can be tested by the current device;

[0012] Based on the load capacity response, a smart electric energy meter under test located at the output end of the voltage drop simulation device is identified, wherein the quantity value of the smart electric energy meter under test identified in the response is within a preset threshold range, and the threshold range is [5,10].

[0013] In this solution, the collecting of the power-on pulse width of the smart electric energy meter under test and setting the voltage drop simulation device parameters based on the power-on pulse width specifically include:

[0014] Capturing the waveform of the smart electric energy meter under test by using an oscilloscope to collect the corresponding power-on pulse width of the smart meter under test;

[0015] Obtaining a drop duration corresponding to an extreme voltage test based on the power-on pulse width;

[0016] The corresponding parameters of the voltage sag simulation device are set based on the sag duration.

[0017] In this solution, the initialization of the smart electric energy meter under test specifically includes:

[0018] Clearing the displayed values ​​of all the smart electric energy meters under test;

[0019] The load recording period of each of the tested smart energy meters is set to a preset period so as to complete the initialization of the tested smart energy meters, wherein the preset period includes 1 minute.

[0020] In this solution, the power-on reliability test of the smart electric energy meter under test specifically includes:

[0021] The power-on reliability test includes a cycle test, wherein:

[0022] The cycle mechanism of the cycle test corresponds to reading the load data of the tested smart energy meter once after a voltage drop test;

[0023] The test is stopped until the execution times reach the preset experimental times, wherein the smart electric energy meter under test is always in the power-on state during the whole test.

[0024] In this solution, the reliability test result is obtained based on the load record of the tested smart energy meter, specifically including:

[0025] Extracting all load data obtained in the cycle test as the load record;

[0026] A reliability test result is obtained based on the load record of the smart electric energy meter under test, wherein:

[0027] If there is empty record data and / or abnormal record data in the load record, determining that the test result is a test failure;

[0028] If all load data in the load record are normal, the test result is determined to be reliable.

[0029] The second aspect of the present invention further provides a smart energy meter software power-on detection reliability test system, comprising a memory and a processor, wherein the memory comprises a smart energy meter software power-on detection reliability test method program, and when the smart energy meter software power-on detection reliability test method program is executed by the processor, the following steps are implemented:

[0030] Identify the smart electric energy meter under test at the output end of the voltage drop simulation device, wherein the quantity value of the smart electric energy meter under test is related to the load capacity of the voltage drop simulation device;

[0031] Collecting the power-on pulse width of the smart electric energy meter under test, and setting the voltage drop simulation device parameters based on the power-on pulse width;

[0032] Initializing the smart electric energy meter under test to perform a power-on reliability test on the smart electric energy meter under test, specifically including an extreme voltage drop test;

[0033] A reliability test result is obtained based on the load record of the tested smart electric energy meter, wherein the test result includes a test failure and a test reliability.

[0034] In this solution, the smart electric energy meter under test for identifying the output end of the voltage drop simulation device specifically includes:

[0035] Extracting the load capacity corresponding to the voltage drop simulation device, wherein the load capacity represents the number of smart electric energy meters that can be tested by the current device;

[0036] Based on the load capacity response, a smart electric energy meter under test located at the output end of the voltage drop simulation device is identified, wherein the quantity value of the smart electric energy meter under test identified in the response is within a preset threshold range, and the threshold range is [5,10].

[0037] In this solution, the collecting of the power-on pulse width of the smart electric energy meter under test and setting the voltage drop simulation device parameters based on the power-on pulse width specifically include:

[0038] Capturing the waveform of the smart electric energy meter under test by using an oscilloscope to collect the corresponding power-on pulse width of the smart meter under test;

[0039] Obtaining a drop duration corresponding to an extreme voltage test based on the power-on pulse width;

[0040] The corresponding parameters of the voltage sag simulation device are set based on the sag duration.

[0041] In this solution, the initialization of the smart electric energy meter under test specifically includes:

[0042] Clearing the displayed values ​​of all the smart electric energy meters under test;

[0043] The load recording period of each of the tested smart energy meters is set to a preset period so as to complete the initialization of the tested smart energy meters, wherein the preset period includes 1 minute.

[0044] In this solution, the power-on reliability test of the smart electric energy meter under test specifically includes:

[0045] The power-on reliability test includes a cycle test, wherein:

[0046] The cycle mechanism of the cycle test corresponds to reading the load data of the tested smart energy meter once after a voltage drop test;

[0047] The test is stopped until the execution times reach the preset experimental times, wherein the smart electric energy meter under test is always in the power-on state during the whole test.

[0048] In this solution, the reliability test result is obtained based on the load record of the tested smart energy meter, specifically including:

[0049] Extracting all load data obtained in the cycle test as the load record;

[0050] A reliability test result is obtained based on the load record of the smart electric energy meter under test, wherein:

[0051] If there is empty record data and / or abnormal record data in the load record, determining that the test result is a test failure;

[0052] If all load data in the load record are normal, the test result is determined to be reliable.

[0053] The third aspect of the present invention provides a computer-readable storage medium, which includes a machine's smart electric energy meter software power-on detection reliability test method program. When the smart electric energy meter software power-on detection reliability test method program is executed by a processor, the steps of a smart electric energy meter software power-on detection reliability test method as described in any one of the above items are implemented.

[0054] The present invention discloses a smart electric energy meter software power-on detection reliability test method, system and medium, which can reduce the problem of misjudgment of the power-on state when the smart electric energy meter experiences an instantaneous voltage drop, further improve the reliability of the test results, and improve the reliability of the electric energy meter in actual use. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 A flow chart of a method for testing the reliability of power-on detection of smart electric energy meter software according to the present invention is shown;

[0056] Figure 2 A block diagram of a reliability testing system for power-on detection of smart electric energy meter software according to the present invention is shown. DETAILED DESCRIPTION

[0057] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0058] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0059] Figure 1 A flow chart of a method for testing the reliability of power-on detection of smart electric energy meter software in the present application is shown.

[0060] like Figure 1 As shown, the present application discloses a method for testing the reliability of power-on detection of smart electric energy meter software, comprising the following steps:

[0061] S102, identifying a smart electric energy meter under test at an output end of a voltage drop simulation device, wherein the number of the smart electric energy meters under test is related to a load capacity of the voltage drop simulation device;

[0062] S104, collecting the power-on pulse width of the smart electric energy meter under test, and setting the voltage drop simulation device parameters based on the power-on pulse width;

[0063] S106, initializing the smart electric energy meter under test to perform a power-on reliability test on the smart electric energy meter under test, specifically including an extreme voltage drop test;

[0064] S108, obtaining reliability test results based on the load record of the tested smart energy meter, wherein the test results include test failure and test reliability.

[0065] It should be noted that, in this embodiment, not all the smart energy meters under test connected to the output end of the voltage drop simulation device can perform the drop simulation test. The specific number of the smart energy meters under test that can be tested needs to be matched according to the load capacity of the voltage drop simulation device. There is a threshold range for the specific matching, which will be explained in detail in the subsequent instructions. Furthermore, after determining the smart energy meter under test, it is necessary to collect the power-on pulse width of the smart energy meter under test, so as to set the voltage drop simulation device parameters based on the power-on pulse width.

[0066] Furthermore, after obtaining the power-on pulse width, preparations for testing are started, wherein, specifically, the smart electric energy meter under test is first initialized to perform a power-on reliability test on the smart electric energy meter under test, specifically an extreme voltage drop test, wherein the reliability test is a cyclic test, and it is necessary to obtain corresponding reliability test results based on the load record of the smart electric energy meter under test, and accordingly, the test results include test failure and test reliability.

[0067] According to an embodiment of the present invention, the step of identifying the smart electric energy meter under test at the output end of the voltage drop simulation device specifically includes:

[0068] Extracting the load capacity corresponding to the voltage drop simulation device, wherein the load capacity represents the number of smart electric energy meters that can be tested by the current device;

[0069] Based on the load capacity response, a smart electric energy meter under test located at the output end of the voltage drop simulation device is identified, wherein the quantity value of the smart electric energy meter under test identified in the response is within a preset threshold range, and the threshold range is [5,10].

[0070] It should be noted that, in this embodiment, the load capacity of the voltage drop simulation device is limited, so it is impossible to test all the smart energy meters connected to it. Therefore, it is necessary to first extract the load capacity corresponding to the current voltage drop simulation device, wherein the load capacity represents the number of smart energy meters that can be tested by the current device, so as to identify the smart energy meters under test located at the output end of the voltage drop simulation device based on the load capacity response, wherein the number value of the smart energy meters under test identified in the response is within a preset threshold range, and the threshold range is [5,10]. During specific identification, a number sorting response can be performed based on the number value within the threshold range to identify the corresponding smart energy meters under test. For example, if the number value within the threshold range is "6", the specific response is the smart energy meter numbered "1-6".

[0071] According to an embodiment of the present invention, the collecting of the power-on pulse width of the smart electric energy meter under test and setting the voltage drop simulation device parameters based on the power-on pulse width specifically include:

[0072] Capturing the waveform of the smart electric energy meter under test by using an oscilloscope to collect the corresponding power-on pulse width of the smart meter under test;

[0073] Obtaining a drop duration corresponding to an extreme voltage test based on the power-on pulse width;

[0074] The corresponding parameters of the voltage sag simulation device are set based on the sag duration.

[0075] It should be noted that, in this embodiment, the voltage drop simulation device parameter is specifically the drop duration. Accordingly, the drop duration corresponds to the drop time of the power-on pulse width for extreme voltage testing. Therefore, it is necessary to collect the power-on pulse width. Specifically, in this embodiment, the waveform of the smart electric energy meter under test is captured by an oscilloscope to collect the corresponding power-on pulse width on the smart meter under test.

[0076] According to an embodiment of the present invention, initializing the smart electric energy meter under test specifically includes:

[0077] Clearing the displayed values ​​of all the smart electric energy meters under test;

[0078] The load recording period of each of the tested smart energy meters is set to a preset period so as to complete the initialization of the tested smart energy meters, wherein the preset period includes 1 minute.

[0079] It should be noted that, in this embodiment, before conducting a specific test, it is necessary to initialize the smart energy meter under test, wherein first, the displayed values ​​of all the smart energy meters under test are cleared to facilitate testing. After the values ​​are cleared, the load recording period of each of the smart energy meters under test can be set to a preset period to complete the initialization of the smart energy meter under test, which can be specifically set to a load recording period of 1 minute.

[0080] According to an embodiment of the present invention, the power-on reliability test of the smart electric energy meter under test specifically includes:

[0081] The power-on reliability test includes a cycle test, wherein:

[0082] The cycle mechanism of the cycle test corresponds to reading the load data of the tested smart energy meter once after a voltage drop test;

[0083] The test is stopped until the execution times reach the preset experimental times, wherein the smart electric energy meter under test is always in the power-on state during the whole test.

[0084] It should be noted that, in this embodiment, the power-on reliability test adopted is specifically a cycle test, wherein the cycle mechanism of the cycle test corresponds to reading the load data of the smart electric energy meter under test once after a voltage drop experiment, that is, reading the load data once for each test, and stopping reading after the end of the cycle, wherein the test is stopped until the number of executions reaches a preset number of experiments, wherein the smart electric energy meter under test is always in a powered-on state during the entire test, and the load data read out for each test experiment is recorded to obtain the load record described in the subsequent embodiments.

[0085] According to an embodiment of the present invention, obtaining a reliability test result based on the load record of the tested smart electric energy meter specifically includes:

[0086] Extracting all load data obtained in the cycle test as the load record;

[0087] A reliability test result is obtained based on the load record of the smart electric energy meter under test, wherein:

[0088] If there is empty record data and / or abnormal record data in the load record, determining that the test result is a test failure;

[0089] If all load data in the load record are normal, the test result is determined to be reliable.

[0090] It should be noted that the above embodiment describes that the corresponding load data will be read for each test, so the load data for each cycle test will be obtained after the test is completed. In this embodiment, all the load data obtained in the cycle test are extracted as the load record, so as to obtain the reliability test result based on the load record of the smart electric energy meter under test. Specifically, since the test results include test failure and test reliability, it is necessary to explain each test result, wherein if there is empty record data and / or abnormal record data in the load record, the test result is judged to be a test failure; and if all the load data in the load record are normal, the test result is judged to be a test reliability.

[0091] Figure 2 A block diagram of a reliability testing system for power-on detection of smart electric energy meter software according to the present invention is shown.

[0092] like Figure 2 As shown, the present invention discloses a smart energy meter software power-on detection reliability test system, comprising a memory and a processor, wherein the memory comprises a smart energy meter software power-on detection reliability test method program, and when the smart energy meter software power-on detection reliability test method program is executed by the processor, the following steps are implemented:

[0093] Identify the smart electric energy meter under test at the output end of the voltage drop simulation device, wherein the quantity value of the smart electric energy meter under test is related to the load capacity of the voltage drop simulation device;

[0094] Collecting the power-on pulse width of the smart electric energy meter under test, and setting the voltage drop simulation device parameters based on the power-on pulse width;

[0095] Initializing the smart electric energy meter under test to perform a power-on reliability test on the smart electric energy meter under test, specifically including an extreme voltage drop test;

[0096] A reliability test result is obtained based on the load record of the tested smart electric energy meter, wherein the test result includes a test failure and a test reliability.

[0097] It should be noted that, in this embodiment, not all the smart energy meters under test connected to the output end of the voltage drop simulation device can perform the drop simulation test. The specific number of the smart energy meters under test that can be tested needs to be matched according to the load capacity of the voltage drop simulation device. There is a threshold range for the specific matching, which will be explained in detail in the subsequent instructions. Furthermore, after determining the smart energy meter under test, it is necessary to collect the power-on pulse width of the smart energy meter under test, so as to set the voltage drop simulation device parameters based on the power-on pulse width.

[0098] Furthermore, after obtaining the power-on pulse width, preparations for testing are started, wherein, specifically, the smart electric energy meter under test is first initialized to perform a power-on reliability test on the smart electric energy meter under test, specifically an extreme voltage drop test, wherein the reliability test is a cyclic test, and it is necessary to obtain corresponding reliability test results based on the load record of the smart electric energy meter under test, and accordingly, the test results include test failure and test reliability.

[0099] According to an embodiment of the present invention, the step of identifying the smart electric energy meter under test at the output end of the voltage drop simulation device specifically includes:

[0100] Extracting the load capacity corresponding to the voltage drop simulation device, wherein the load capacity represents the number of smart electric energy meters that can be tested by the current device;

[0101] Based on the load capacity response, a smart electric energy meter under test located at the output end of the voltage drop simulation device is identified, wherein the quantity value of the smart electric energy meter under test identified in the response is within a preset threshold range, and the threshold range is [5,10].

[0102] It should be noted that, in this embodiment, the load capacity of the voltage drop simulation device is limited, so it is impossible to test all the smart energy meters connected to it. Therefore, it is necessary to first extract the load capacity corresponding to the current voltage drop simulation device, wherein the load capacity represents the number of smart energy meters that can be tested by the current device, so as to identify the smart energy meters under test located at the output end of the voltage drop simulation device based on the load capacity response, wherein the number value of the smart energy meters under test identified in the response is within a preset threshold range, and the threshold range is [5,10]. During specific identification, a number sorting response can be performed based on the number value within the threshold range to identify the corresponding smart energy meters under test. For example, if the number value within the threshold range is "6", the specific response is the smart energy meter numbered "1-6".

[0103] According to an embodiment of the present invention, the collecting of the power-on pulse width of the smart electric energy meter under test and setting the voltage drop simulation device parameters based on the power-on pulse width specifically include:

[0104] Capturing the waveform of the smart electric energy meter under test by using an oscilloscope to collect the corresponding power-on pulse width of the smart meter under test;

[0105] Obtaining a drop duration corresponding to an extreme voltage test based on the power-on pulse width;

[0106] The corresponding parameters of the voltage sag simulation device are set based on the sag duration.

[0107] It should be noted that, in this embodiment, the voltage drop simulation device parameter is specifically the drop duration. Accordingly, the drop duration corresponds to the drop time of the power-on pulse width for extreme voltage testing. Therefore, it is necessary to collect the power-on pulse width. Specifically, in this embodiment, the waveform of the smart electric energy meter under test is captured by an oscilloscope to collect the corresponding power-on pulse width on the smart meter under test.

[0108] According to an embodiment of the present invention, initializing the smart electric energy meter under test specifically includes:

[0109] Clearing the displayed values ​​of all the smart electric energy meters under test;

[0110] The load recording period of each of the tested smart energy meters is set to a preset period so as to complete the initialization of the tested smart energy meters, wherein the preset period includes 1 minute.

[0111] It should be noted that, in this embodiment, before conducting a specific test, it is necessary to initialize the smart energy meter under test, wherein first, the displayed values ​​of all the smart energy meters under test are cleared to facilitate testing. After the values ​​are cleared, the load recording period of each of the smart energy meters under test can be set to a preset period to complete the initialization of the smart energy meter under test, which can be specifically set to a load recording period of 1 minute.

[0112] According to an embodiment of the present invention, the power-on reliability test of the smart electric energy meter under test specifically includes:

[0113] The power-on reliability test includes a cycle test, wherein:

[0114] The cycle mechanism of the cycle test corresponds to reading the load data of the tested smart energy meter once after a voltage drop test;

[0115] The test is stopped until the execution times reach the preset experimental times, wherein the smart electric energy meter under test is always in the power-on state during the whole test.

[0116] It should be noted that, in this embodiment, the power-on reliability test adopted is specifically a cycle test, wherein the cycle mechanism of the cycle test corresponds to reading the load data of the smart electric energy meter under test once after a voltage drop experiment, that is, reading the load data once for each test, and stopping reading after the end of the cycle, wherein the test is stopped until the number of executions reaches a preset number of experiments, wherein the smart electric energy meter under test is always in a powered-on state during the entire test, and the load data read out for each test experiment is recorded to obtain the load record described in the subsequent embodiments.

[0117] According to an embodiment of the present invention, obtaining a reliability test result based on the load record of the tested smart electric energy meter specifically includes:

[0118] Extracting all load data obtained in the cycle test as the load record;

[0119] A reliability test result is obtained based on the load record of the smart electric energy meter under test, wherein:

[0120] If there is empty record data and / or abnormal record data in the load record, determining that the test result is a test failure;

[0121] If all load data in the load record are normal, the test result is determined to be reliable.

[0122] It should be noted that the above embodiment describes that the corresponding load data will be read for each test, so the load data for each cycle test will be obtained after the test is completed. In this embodiment, all the load data obtained in the cycle test are extracted as the load record, so as to obtain the reliability test result based on the load record of the smart electric energy meter under test. Specifically, since the test results include test failure and test reliability, it is necessary to explain each test result, wherein if there is empty record data and / or abnormal record data in the load record, the test result is judged to be a test failure; and if all the load data in the load record are normal, the test result is judged to be a test reliability.

[0123] A third aspect of the present invention provides a computer-readable storage medium, which includes a smart electric energy meter software power-on detection reliability test method program. When the smart electric energy meter software power-on detection reliability test method program is executed by a processor, the steps of a smart electric energy meter software power-on detection reliability test method as described in any one of the above items are implemented.

[0124] The present invention discloses a smart electric energy meter software power-on detection reliability test method, system and medium, which can reduce the problem of misjudgment of the power-on state when the smart electric energy meter experiences an instantaneous voltage drop, further improve the reliability of the test results, and improve the reliability of the electric energy meter in actual use.

[0125] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0126] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0127] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0128] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and other media that can store program codes.

[0129] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for testing the reliability of power-on detection of smart electric energy meter software, characterized in that: The following steps are involved: Identify the smart electric energy meter under test at the output end of the voltage drop simulation device, wherein the quantity value of the smart electric energy meter under test is related to the load capacity of the voltage drop simulation device; Collecting the power-on pulse width of the smart electric energy meter under test, and setting the voltage drop simulation device parameters based on the power-on pulse width; Initializing the smart electric energy meter under test to perform a power-on reliability test on the smart electric energy meter under test, specifically including an extreme voltage drop test; A reliability test result is obtained based on the load record of the tested smart electric energy meter, wherein the test result includes a test failure and a test reliability.

2. A smart energy meter software power-on detection reliability test method according to claim 1, characterized in that: The smart electric energy meter under test for identifying the output end of the voltage drop simulation device specifically includes: Extracting the load capacity corresponding to the voltage drop simulation device, wherein the load capacity represents the number of smart electric energy meters that can be tested by the current device; Based on the load capacity response, a smart electric energy meter under test located at the output end of the voltage drop simulation device is identified, wherein the quantity value of the smart electric energy meter under test identified in the response is within a preset threshold range, and the threshold range is [5,10].

3. A smart energy meter software power-on detection reliability test method according to claim 2, characterized in that: The collecting of the power-on pulse width of the smart electric energy meter under test and setting the voltage drop simulation device parameters based on the power-on pulse width specifically include: Capturing the waveform of the smart electric energy meter under test by using an oscilloscope to collect the corresponding power-on pulse width of the smart meter under test; Obtaining a drop duration corresponding to an extreme voltage test based on the power-on pulse width; The corresponding parameters of the voltage sag simulation device are set based on the sag duration.

4. A smart energy meter software power-on detection reliability test method according to claim 3, characterized in that: The initializing the smart electric energy meter under test specifically includes: Clearing the displayed values ​​of all the smart electric energy meters under test; The load recording period of each of the tested smart energy meters is set to a preset period so as to complete the initialization of the tested smart energy meters, wherein the preset period includes 1 minute.

5. A smart energy meter software power-on detection reliability test method according to claim 4, characterized in that: The power-on reliability test of the smart electric energy meter under test specifically includes: The power-on reliability test includes a cycle test, wherein: The cycle mechanism of the cycle test corresponds to reading the load data of the tested smart energy meter once after a voltage drop test; The test is stopped until the execution times reach the preset experimental times, wherein the smart electric energy meter under test is always powered on during the whole test.

6. A method for testing the reliability of power-on detection of smart electric energy meter software according to claim 5, characterized in that: The obtaining of the reliability test result based on the load record of the tested smart electric energy meter specifically includes: Extracting all load data obtained in the cycle test as the load record; A reliability test result is obtained based on the load record of the smart electric energy meter under test, wherein: If there is empty record data and / or abnormal record data in the load record, determining that the test result is a test failure; If all load data in the load record are normal, the test result is determined to be reliable.

7. A smart electric energy meter software power-on detection reliability test system, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a smart electric energy meter software power-on detection reliability test method program, and the smart electric energy meter software power-on detection reliability test method program is executed by the processor to implement the following steps: Identify the smart electric energy meter under test at the output end of the voltage drop simulation device, wherein the quantity value of the smart electric energy meter under test is related to the load capacity of the voltage drop simulation device; Collecting the power-on pulse width of the smart electric energy meter under test, and setting the voltage drop simulation device parameters based on the power-on pulse width; Initializing the smart electric energy meter under test to perform a power-on reliability test on the smart electric energy meter under test, specifically including an extreme voltage drop test; A reliability test result is obtained based on the load record of the tested smart electric energy meter, wherein the test result includes a test failure and a test reliability.

8. A smart energy meter software power-on detection reliability test system according to claim 7, characterized in that: The smart electric energy meter under test for identifying the output end of the voltage drop simulation device specifically includes: Extracting the load capacity corresponding to the voltage drop simulation device, wherein the load capacity represents the number of smart electric energy meters that can be tested by the current device; Based on the load capacity response, a smart electric energy meter under test located at the output end of the voltage drop simulation device is identified, wherein the quantity value of the smart electric energy meter under test identified in the response is within a preset threshold range, and the threshold range is [5,10].

9. A smart electric energy meter software power-on detection reliability test system according to claim 8, characterized in that: The collecting of the power-on pulse width of the smart electric energy meter under test and setting the voltage drop simulation device parameters based on the power-on pulse width specifically include: Capturing the waveform of the smart electric energy meter under test by using an oscilloscope to collect the corresponding power-on pulse width of the smart meter under test; Obtaining a drop duration corresponding to an extreme voltage test based on the power-on pulse width; The corresponding parameters of the voltage sag simulation device are set based on the sag duration.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a smart electric energy meter software power-on detection reliability test method program. When the smart electric energy meter software power-on detection reliability test method program is executed by a processor, the steps of a smart electric energy meter software power-on detection reliability test method as described in any one of claims 1 to 6 are implemented.

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