User behavior analysis algorithm for water, electricity, gas and heat system

Abstract

The invention provides a user behavior analysis algorithm for a water, electricity, gas and heat system, and relates to the technical field of water, electricity, gas and heat management. The method comprises the following steps: 1, carrying out information acquisition: acquiring information such as water, electricity, i.e.,gas and heat of a user, and acquiring usage amount and usage time; 2, carrying out auxiliary reference information acquisition, i.e., directly connecting auxiliary reference information with a local weather bureau to acquire air temperature, humidity, rainwater and wind speed; and 3, carrying out big data processing, i.e., preferentially performing tagging management on information such as water, electricity, gas, heat and the like and auxiliary reference information to serve as a reference standard. The average usage amount and the usage time of water, electricity, gas and heat in different environments are measured and calculated in multiple groups, the usage amount and the usage time of water, electricity, gas and heat in the corresponding environments are obtained, accuracy is guaranteed, large algorithm system errors occur in the method, in the subsequent warning process, high measurement and calculation precision can guarantee sufficient safety, and the safety problem caused by false alarm and missing alarm is avoided.

Description

technical field [0001] The invention relates to the technical field of water, electricity, and heat management, in particular to a user behavior analysis algorithm for water, electricity, and heat systems. Background technique [0002] At present, the four industries of water, electricity, gas, and heat are mainly managed by different public utilities, and the management entities are different. Due to the different characteristics of the water, electricity, and heat industries, the demand for data collection is different, and smart meters are used in various industries. The application level of the industry is different, and there are four sets of remote meter reading systems run by water, electricity, gas, and heat utilities in the same area, which wastes collection equipment resources, system resources, and communication resources, and increases local enterprises. At the same time, there are system operation interference and installation wiring interference during the oper...

AI Technical Summary

Problems solved by technology

[0002] At present, the four industries of water, electricity, gas, and heat are mainly managed by different public utilities, and the management entities are different. Due to the different characteristics of the water, electricity, and heat industries, the demand for data collection is different, and smart meters are used in various industries. The application level of the industry is different, and there are four sets of remote meter reading systems run by water, electricity, gas, and heat utilities in the same area, which wastes collection equipment resources, system resources, and communication resources, and increases local enterprises. At the same time, there are system operation interference and installation wiring interference during the operation of each system, which is not conducive to the reduction of social comprehensive costs and total social investment

[0003] With the subsequent unified management of water, electricity, gas, and heat instruments, efficient unified management can be achieved. However, most of the existing management systems simply process and calculate the collected data, and do not effectively manage the generated data. Calculation and statistics make it impossible to predict the impact of the environment on user behavior in the subsequent use process. For example, the high temperature in summer leads to the extensive use of refrigeration equipment, which in turn increases the load on the power grid, which in turn causes water, electricity, gas, and heat loads. Secondly, in the subsequent use process, it is impossible to detect the customer's use status according to the data, so as to avoid safety problems caused by inadvertent use of the use end, such as natural gas leakage and water leakage.

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