已有的大规模接地网故障诊断算法的计算量非常大导致计算时间很长，在实际应用中很不方便。为了解决该问题，在已有的故障诊断方法基础上，提出了一种利用计算机局域网络的分布式算法。 为了提高接地网可测性分析速度，提出一种基于蒙特卡洛法的接地网可测性分析分布式处理流程。由主模块随机生成一批接地网支路电阻向量样本发送给从模块，从模块进行并行运算并反馈结果给主模块，主模块在得到所有结果后分析汇总得出最终可测性分析结果。采用MATLAB与VC混合编程实现了通用应用软件。 为了提高接地网不确定支路取值范围估计速度，提出一种基于二分法求取不确定支路组内的不确定支路电阻的最大可能解和最小可能解的分布式处理流程。主模块生成各条不确定支路的附加约束条件，发送至各个从模块，从模块计算后将结果返回，主模块判断相邻两次达到收敛精度的条件下收齐所有的结果得到这个不确定支路电阻的最大可能解估计。采用MATLAB与VC混合编程实现了通用应用软件。 为了提高新建接地网测试极布置优化速度，提出一种基于遗传算法的接地网故障诊断监测极最优布置分布式处理流程。主模块生成种群，将种群中的各个个体发送到从模块，从模块计算个体的适应度函数结果返回主模块，主模块在判断达到遗传代数的条件下收齐所有结果得出监测极优化布置方案。采用MATLAB与VC混合编程实现了通用应用软件。 以具体的实验接地网为例，基于一个具有5台计算机的局域网，采用提出的方法进行了分析，并与已有方法进行了比较，结果表明所提出的分布处理方法是可行的，并且能大幅提高处理速度。

With large amount of calculation, the existing grounding grid corrosion diagnosis algorithms need rather long time and are inconvenient in the practice. To solve above problem, a Local Area Network (LAN) based approach is put forward, which convert the traditional algorithms into some distributed processes. To improve the speed of testability analysis, a distributed process of testability analysis based on Monte Carlo theory is put forward. The master module sends the samples needed to be calculated to the slave module. The slave-modules calculate the samples at the same time and send the results back to the master module. The final results will be figured out by the master module after all the results being gathered. The application software is developed on the platform of VC and MATLAB. In order to increase the speed of uncertain branches evaluation, a distributed process of uncertain branches evaluation based on a dichotomy method is put forward. The master module sends the additional restrict conditions of the uncertain branches to the slave-modules. The slave-modules calculate according to the additional restrict conditions at the same time and send the results back to the master module. The maximum and minimum possible resistances of the uncertain branch will be figured out by the master module after all the results being gathered under the condition of meets the requirement of the convergent precision. The application software is developed on the platform of VC and MATLAB. To improve the speed of monitoring line positions optimization, a distributed process based on genetic algorithm is put forward. The master module sends the individuals to the slave-module. The slave-modules calculate the individuals at the same time and send the adaptability functions back to the master module. The monitoring line positions optimization will be figured out by the master module after all the results being gathered under the condition of attaining the prescriptive iterative times. The application software is developed on the platform of VC and MATLAB. The experimental grounding grids are used as examples to test the proposed distributed approaches. The test is based on a LAN with five computers and compared with the existing methods, the results of which show that the proposed methods are feasible and can remarkably reduce the calculating time.