The invention discloses a mining method for relevant relationships between power grid production data and influence factors. The mining method for the relevant relationships between the power grid production data and influence factors includes steps that 1) acquiring a research object to be mined and influence factor data thereof; 2) discretizing the continuous data; 3) integrating the data to form several groups of combinations with the research object and influence factors; 4) inputting each influence factor and research object weight; 5) constructing a weight utility tree; 6) using a pattern growth mode to mine all the high-weight combinations; 7) discarding the high-weight combinations which do not comprise the research object, and summarizing the relevant relationships between the research object and the influence factors thereof according to a final high-weight combination set. The mining method for the relevant relationships between the power grid production data and influence factors takes different weight influence factors into consideration, mines the relevant relationships through the weight utility tree not based on a candidate item set, gives consideration to the time and space efficiency optimization of the algorithm and obtains the high-weight combination set to mine the relevant relationships between the power grid production data and influence factors so as to effectively understand management rules, refine business modes and help making administrative decisions.