User-side energy equipment intelligent maintenance method

Abstract

The invention provides a user-side energy equipment intelligent maintenance method. The method comprises the following steps of obtaining the all-dimensional data of all energy equipment through an Internet of Things sensor system; adding the analog data into a digital model pre-stored in a cloud platform to obtain a digital virtual mirror image of the building energy system, and performing analogoperation and maintenance operation by operation and maintenance personnel based on the digital virtual mirror image to obtain the analog operation and maintenance data; extracting the key data fromthe simulated operation and maintenance data, carrying out abnormal point elimination on the key data, and analyzing the key data by utilizing a big data analysis algorithm to obtain relevant data ofthe equipment health degree portrait; carrying out the abnormal attribute classification according to the equipment health degree portrait to determine specific information of the fault hidden dangerand output corresponding alarm information, and using the cloud platform to update the fault decision tree model according to all data associated with the fault handling operation. The method has thebeneficial effects that the operation and maintenance cost is reduced, and the operation and maintenance efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of building energy management, in particular to a smart maintenance method for user-side energy equipment using digital twins and abnormal big data analysis. Background technique [0002] At present, the energy provided to users is mainly divided into two categories: one is separate power supply, heat supply, and gas supply, and the other is emerging multi-energy comprehensive supply, such as combined cooling, heating and power supply, integration of source, network and load, and combined cooling and heating supply. Wait, these all need maintenance. Electricity, as the core energy species for mutual coordination between various energy sources, is the most important means of energy transmission, adjustment, and complementarity. Therefore, from the perspective of intelligent operation and maintenance of power distribution, the overview of existing technologies has the following aspects. [0003] Operation: Co...

AI Technical Summary

Problems solved by technology

[0009] 1. The cost of manpower occupation is very high, and most of the work needs to be done by manpower;

[0010] 2. The work efficiency is low. Generally, there are two people and one car for inspection and maintenance, and the inspection and maintenance is carried out within the designated range. In addition, there are time spent on the road and communication time, so the work efficiency is relatively low;

The current training mode is basically lectures and mentoring, because the possibility of accidents is relatively low, personnel are less likely to simulate faults, and there is no real-time online monitoring of equipment, so we can only rely on emergency repairs after accidents to learn from them; 1 ) There are many types of energy equipment, which requires high professionalism of operation and maintenance personnel; 2) The operating conditions of energy equipment are harsh, and it is difficult for personnel to approach and observe under the operating state; 3) There are many operating data of energy equipment, and the existing operation and maintenance personnel have heavy monitoring tasks ;

[0012] 4. The communication takes a long time, and the non-urgent events are generally communicated with the user by phone, and the emergency events will be communicated face-to-face, so there is a relatively long communication process;

[0013] 5. The response time for rush repair is relatively long, and the rush repair is usually initiated by the user, and rarely discovered by the operation and maintenance provider

Due to the deviation in the user's description of the fault, the user's description may be inconsistent with the problems found on site, which seriously affects the timely response to emergency repairs

4) The abnormal operation of the equipment cannot be detected in time, which will cause hidden troubles in the long run; 5) The fault location of the equipment is not accurate, and the fault cannot be found and dealt with in time, causing heavy losses and casualties

[0014] The existence of the above problems leads to high operating costs of enterprises, low user stickiness, and reduces the competitive advantage of operation and maintenance providers.

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