GB/T 38047.2-2021Evaluation methods for reliability on smart household appliances—Part 2: Special requirements for room air conditioners (English PDF)

3.1 Smartairconditioner

Adopt intelligent technology, possess the ability of perception, decision-making, execution, learning and feedback (including the application ability of learning results), and integrate this These capabilities are comprehensively utilized to achieve specific functions of the air conditioner. [Source: GB/T 37879-2019, 3.1]

4.1 Evaluation parameter selection

Smart air conditioners should choose the mean time between failure (MTBF) as the evaluation parameter.

4.2 Determination of evaluation indicators

Smart air conditioners should determine the evaluation indicators in accordance with the provisions of 4.2 in GB/T 38047.1-2019.

4.3 Evaluation method

The reliability evaluation method of the software and hardware comprehensive test of the intelligent air conditioner intelligent technology specified in this document belongs to the quantitative evaluation method Statistical analysis methods.

Note: GB/T 24986.4-2017 and GB/T 24985-2010 give the qualitative and quantitative evaluation of the reliability of other parts of the intelligent air conditioner. method.

5.1 Test profile design

5.1.1 General rules for test section design

The smart air conditioner should be designed in accordance with 5.1.1 of GB/T 38047.1-2019.

5.1.2 Mission profile design of smart home appliances

The core mission profile of smart air conditioners mainly includes refrigeration (including dehumidification) and heating mission profiles.

Adjust the cooling and heating operating hours, or the content of the smart air-conditioning system log to determine the probability of occurrence of cooling and heating.

Note 1.When the probability of occurrence is determined according to the cooling and heating operating hours of the air conditioner specified in GB 21455, taking the heat pump air conditioner as an example, the cooling task is broken down.

If the surface is used for X hours in a year and the heating mode is used for Y hours in a year, the probability of the occurrence of the cooling task is X/(XY), and the heating task is issued. The probability of birth is Y/(XY).

Note 2.If it is aimed at some intelligent functions, it can be made according to the manufacturer's technical specifications and the operation log of the smart home appliance system. Fix.

5.1.3 Constructing the software test profile

5.1.3.1 Overview of software testing

The smart air conditioner is tested for software in accordance with the provisions of 5.1.3.1 in GB/T 38047.1-2019.

5.1.3.2 Determine the software model profile

According to the operating mode of the smart air conditioner and the task profile of the smart air conditioner, the user type and the structural structure of the operation are divided, with Record A provides an example of a software operating mode profile.

5.1.3.3 Determine the software functional profile

Smart air conditioner interconnection/interoperability requirements can be based on the deviation of expected output and actual output response by constructing input and expected output To determine the degree of failure.

For the requirements of intelligent ability and the effect of intelligent functions, if the technical specification document of the intelligent air conditioner has a clear description, And some characteristic indicators can be quantified, which can be observed by comparing the dynamic and static response indicators before the reliability test and during the test.

The degree of performance degradation shall be used to determine the fault, otherwise this document does not assess its reliability. For the perception ability in intelligent ability, Appendix B The typical failure modes of several commonly used sensors in smart air conditioners are listed.

Note: For the smart air conditioner's perception function of light intensity and human state, its dynamic response time and the degree of attenuation of perception accuracy can be evaluated, and set The threshold value of the degree of deviation of the function judged as a fault.

5.1.3.4 Determine the software operation profile

The intelligent air conditioner determines the software operation profile according to the provisions of 5.1.3.4 in GB/T 38047.1-2019.

For software operations under the interconnection/interworking function, it can include, but is not limited to, network configuration, equipment certification, startup self-check, equipment operation, OTA program upgrade. Among them, the equipment operation can include, but is not limited to, switch on and off, temperature adjustment, mode adjustment, wind speed adjustment, and wind direction setting. Wait for it.

5.1.4 Tectonic comprehensive environmental stress profile

5.1.4.1 Environmental stress selection

In the mission profile of the smart air conditioner, according to the provisions of 5.2.1 in GB/T 24985-2010, the climate and environmental parameters that have the main influence are.

a) Refrigeration task operation. the test environment temperature is not less than 32°C, and the relative humidity is 30%~80%;

b) Heating task operation. the test environment temperature is not less than 20°C, and the relative humidity is 30%~80%.

The power supply voltage is also a kind of stress that affects the reliable operation of smart air conditioners. The power supply voltage should be biased during the test.

The extent of the deviation is determined according to the requirements of the product technical specifications.

Requirements for network conditions. If the smart air conditioner adopts wireless communication, it should be ensured that it is in the wireless communication mode. In a network environment above 45dBm.

5.1.4.2 Formulation of environmental stress profile

First, according to the task profile of the smart air conditioner specified in 5.1.2, the activity state of the smart air conditioner is divided, and each task profile is determined. The relative duration of the face.

Secondly, the environmental stress of smart air conditioners is mainly divided into temperature parameter stress and electrical parameter stress, combined with the actual after-sales number of smart air conditioners According to the log of the smart home appliance system, the relative duration of each parameter is determined. At the same time, the temperature parameter stress and electrical parameter stress of the smart air conditioner are Independent relationship. Finally, draw a typical test cycle profile.

Appendix C provides an example of the development of an environmental stress profile.

Note: For the relationship between parameters, including mutual existence, mutual exclusion, subordination, and independence, please refer to Chapter 6 in GB/T 5080.2-2012. content.

5.1.5 Formulation of comprehensive test profile

The intelligent air conditioner shall be formulated according to the provisions of 5.1.5 in GB/T 38047.1-2019.

5.2 Software test preparation

5.2.1 Method of calculating the number of test cases

Smart air conditioners should adopt the operating frequency estimation method, and the operating frequency data of smart air conditioners in actual use can be passed through the smart home appliance system. Obtain information such as system logs and documentation.

5.2.2 Assign test cases

Smart air conditioners are assigned test cases according to 5.2.2 of GB/T 38047.1-2019.

5.2.3 Specify test case grouping and division

Smart air conditioners are divided into test case groups according to 5.2.3 of GB/T 38047.1-2019.

When designing test cases involving voice and image, it can be provided by smart air conditioner manufacturers, voice or image module providers Regarding the technical specification documents of the module, develop a simulation interface for simulation testing.