Water, electricity, gas and heat comprehensive data exception analysis method and system, storage medium and terminal

Abstract

The invention belongs to the technical field of big data management and application, and discloses a water, electricity, gas and heat comprehensive data exception analysis method and system, a storagemedium and a terminal. Energy consumption load prediction, loss monitoring analysis, key area or customer optimal energy consumption analysis and comprehensive energy consumption analysis and strategy are carried out; the energy consumption habits of customers are portrayed in combination with the electricity consumption, the water consumption and the air consumption of the users, the customers are classified and graded according to the portraits of the users, energy consumption load prediction and loss monitoring analysis are carried out on the customers in key areas, and the purpose of refined loss management is achieved while the service efficiency of an energy supply enterprise is improved. An energy consumption client carries out energy consumption management and control through water, electricity, gas and heat consumption monitoring data and an energy consumption condition analysis report provided by an energy supply enterprise, so that the purposes of energy conservation and consumption reduction of the energy consumption client are achieved; public security and inspection departments discover and stop illegal criminal behaviors in advance and solve potential safety hazardsin advance through users with water, electricity, gas and heat abnormal data provided by energy supply enterprises.

Description

technical field [0001] The invention belongs to the technical field of water, electricity, and heat data abnormality judgment, and in particular relates to a water, electricity, and heat comprehensive data abnormality analysis method, system, storage medium, and terminal. Background technique [0002] At present, the four industries of water, electricity, gas and heat are mainly managed by different public utility units, and the management entities are different. Due to the different characteristics of water, electricity, heat and various industries, the demand for data collection is different, and the application level of smart meters is different in various industries. There are four different sets of water, electricity, gas, and heat utilities in the same area. The situation of the remote meter reading system not only wastes collection equipment resources, wastes system resources, and communication resources, but also increases the overall cost of local enterprises. The ...

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Problems solved by technology

[0004] (1) The existing water, electricity, and gas data are managed separately. For a single user, energy-consuming units can only analyze abnormal data based on multi-month user consumption data, and do not conduct comprehensive abnormal analysis of user energy consumption. For users with long-term problems Unable to accurately identify and discover, thereby reducing the quality of data, affecting the accurate analysis of users' water, electricity, heat consumption behavior, and causing certain economic losses to energy-consuming units

[0005] (2) The existing abnormal judgment of water, electricity, heat data often uses the method of manual diagnosis to detect the abnormal data of electricity consumption. This method mainly relies on manual experience, which has low efficiency and poor accuracy.

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