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Consumer Electronics2
Consumer Electronics2

In the process of storage, transportation and use, electronic products are often subjected to various harmful effects of the surrounding environment, such as affecting the working performance, reliability and life of electronic products. Environmental factors affecting electronic products are: temperature, humidity, atmospheric pressure, solar radiation, rain, wind, snow, dust and dust, salt spray, corrosive gases, mold, insects and other harmful animals, vibration, shock, earthquake, Collision, centrifugal acceleration, acoustic vibration, sway, electromagnetic interference and lightning.

The study of environmental factors mainly solves two basic problems: 1 how to obtain objective data of these environmental factors; 2 how to deal with these data. Data on objective environmental factors can usually be obtained in part from the meteorological environmental protection department, but more must be obtained through actual measurement. In order to make the measured data both reliable and typical, in addition to a comprehensive investigation and testing program, there must be an instrument that can record continuously, quickly and with multiple points. The objective environmental data obtained, if there is a sufficiently long recording time, can be statistically analyzed according to the frequency of occurrence. For products that require particularly reliable products, extreme values of objective environmental data, even statistical inferences, can be taken to ensure that the product is in use. For products requiring high reliability, the objective environmental data may have a probability of 1%. For products that are generally required, the objective environment may have a probability of 5% or even 10%. If the objective environmental data recording time is not long enough, it is necessary to use mathematical statistics to deal with it. For example, the microclimate survey data can be extended by the relevant method to calculate the data that may exist in history; for example, the mechanical vibration survey data can be estimated by the envelope method, the power spectrum analysis method or the time series modeling method. The probability of a probability value, and then take the required data according to the reliability requirements of the product.

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