During the procedure of smart meter production, electric power enterprises have noticed the fact that there exist significant differences between sample meters used to check and batch meters for large numbers of production. Lots of batch meters either have an unstable working state or become quality rejected, resulting from lack of detection. Maintenance of these meters causes unnecessary expense. Aiming at this problem, a smart meter software function test scheme was formulated and an embedded smart meter code reversal model was figured out. Taking obtaining system operating characteristics via analysis of smart meter kernel program as main idea, the model operated a software function difference test on smart meter with disassembly technology as means to analyze smart meter firmware code function. The model included three modules, namely firmware code extraction, firmware code disassembly and software function comparison. A Single-step Disassembly Algorithm (SDA) was adopted in firmware code disassembly module based on traditional linear sweep and recursive scanning algorithm. It has remarkable effects when applying the model to sample and batch meters identification. Meanwhile, the model can control function and quality error within 20 percent when maintaining meters of used and to be used.

Two key problems, endianness and memory capacity limit appear to be obstacles when electric enterprises implement a function consistency model for embedded smart meter software via disassembly technique, thus affecting the overall performance of the model. To solve these problems, a in-depth analysis was conducted combined with internal features of embedded smart meter and hardware architecture theory. Two algorithms named Code Double Inverse Preprocessing Algorithm (CDIPA) and Segmented Disassembling Algorithm (SDA) were proposed. CIDPA was used to generate adjusted binary code, together with raw binary as two inputs of disassembly. Thus endianness problem was solved by choosing the result more adaptable to hardware environment. SDA was adopted to decrease size of input binary so as to disassemble more times in limited memory. The experimental results show that CDIPA and SDA can effectively resolve the problems mentioned above and show up favorable robustness and portability.