Meter reading risk reduction method and device
A risk- and user-friendly technology, applied in the electric power field, can solve high-risk problems, achieve the effect of reducing risk, ensuring stability and continuity, and reducing the risk of meter reading
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Embodiment 1
[0028] see figure 1 Flowchart of the first method of reducing the risk of meter reading shown; the method includes the following steps:
[0029] Step S102, obtaining the meter reading data and payment data of the user within the preset time period in the current area; the payment data includes the user's arrears data;
[0030] The above-mentioned current area can be the area under the jurisdiction of the meter reading department in a certain power operation unit, for example, an urban area or a county; the above-mentioned preset time period can be the time period of one year before the current time, or several months; the longer the preset time period, the more accurate the electricity consumption behavior analysis in the subsequent step S102; due to various factors in the meter reading process, there will be risks such as inaccurate meter reading and omission of meter reading. The meter reading data of users in the area can reflect the user's electricity consumption status, ...
Embodiment 2
[0038] see figure 2 The flow chart of the second method for reducing the risk of meter reading shown; the method is realized on the basis of the method for reducing the risk of meter reading provided in Embodiment 1, and the method includes the following steps:
[0039] Step S202, obtaining the meter reading data and payment data of the user within the preset time period in the current area; the payment data includes the user's arrears data;
[0040] Step S204, classify the users in the current area according to the attribute categories of the users;
[0041] The user's attribute category can be obtained when the user applies for an electricity account, including residential family, school education, business, factory and other categories.
[0042] Step S206, calculate the average electricity consumption and the average fluctuation curve of electricity consumption of users in each category; calculate the difference between the electricity consumption of users in the current ...
Embodiment 3
[0055] see image 3 The flow chart of the third method for reducing the risk of meter reading shown; the method is realized on the basis of the method for reducing the risk of meter reading provided in Embodiment 1, and the method includes the following steps:
[0056] Step S302, obtaining the user's meter reading data and payment data within the preset time period in the current area; the payment data includes the user's arrears data;
[0057] Step S304, extracting the user's arrears amount and arrears frequency from the user's payment data;
[0058] Step S306, judging whether the user's arrears amount exceeds the preset amount threshold, or whether the arrears frequency exceeds the preset frequency threshold; if yes, execute step S308; if no, execute step S310;
[0059] Step S308, determine that the user's electricity consumption behavior is abnormal; execute step S312;
[0060] Step S310, determining that the user's electricity consumption behavior is normal; end;
[006...
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