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Internet-of-Things equipment state detection method, computer equipment and storage medium

An Internet of Things device and state detection technology, which is applied in computing, digital data information retrieval, special data processing applications, etc., can solve problems such as inability to accurately detect the working state of energy-consuming devices and difficulty in judging the state of the device, and update the device when it reaches the threshold range Alarm for abnormal energy consumption and low consumption

Inactive Publication Date: 2021-04-02
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This makes it difficult to judge the status of equipment through these time-period energy consumption data. Using traditional methods, based on the time-period energy consumption data of existing equipment, the working status of energy-consuming equipment cannot be accurately detected.

Method used

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  • Internet-of-Things equipment state detection method, computer equipment and storage medium
  • Internet-of-Things equipment state detection method, computer equipment and storage medium
  • Internet-of-Things equipment state detection method, computer equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0052] Such as figure 1 As shown, a Gaussian mixture model-based IoT device status detection method based on the EM algorithm is mainly used to solve the problem that it is difficult to accurately detect the working status of energy-consuming devices using traditional methods. Before the method flow of this embodiment is described in detail, the following setting instructions are performed:

[0053] First, the Internet of Things collection equipment collects and uploads the electricity consumption data of energy-consuming equipment about every 15 minutes. Second, it has certain historical data. Third, the working states of energy-consuming equipment are: standby (the shutdown state may not exist) and working states.

[0054] Specifically, the specific steps of the IoT device state detection method based on the Gaussian mixture model of the EM algorithm in this embodiment are as follows:

[0055] Step 1. Data Acquisition.

[0056] That is, according to the energy database p...

Embodiment 2

[0097] This embodiment discloses a computer device, which may be a server, and the computer device includes a processor, a memory, a network interface, and a database connected through a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used to store the data involved in the method for detecting the state of the Internet of Things equipment based on the Gaussian mixture model of the EM algorithm. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program i...

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Abstract

The invention discloses an Internet-of-Things equipment state detection method. The method comprises the steps of obtaining historical energy consumption data of energy consumption equipment and cleaning error data; establishing a model and training to obtain model parameters; determining each state threshold range of each device according to the model parameters; and performing data contrast. According to the method, the state of the equipment can be accurately detected according to the energy consumption data of the equipment, and meanwhile the threshold range updating function and the equipment energy consumption abnormity alarming function are achieved.

Description

technical field [0001] The invention relates to the technical field of equipment state detection, in particular to a method for detecting the state of an Internet of Things equipment based on a Gaussian mixture model of an EM algorithm, a computer device, and a storage medium. Background technique [0002] In today's era of Internet of Everything, people use IoT devices to collect usage data of various devices. This includes energy usage data for energy-consuming equipment. Due to the characteristics of IoT collection devices, energy consumption data of energy-consuming devices can only be collected and uploaded periodically, usually at intervals of 15 minutes to 1 hour, or even 1 day. Because a shorter collection and upload interval will consume more traffic of the IoT card, more battery power of the IoT device (gateway + meter), more bandwidth, and more server resources, which will eventually cause the IoT The soaring cost of acquisition solutions. [0003] Among them, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08G06F16/215G08B21/24G16Y40/10
CPCG08B21/24G06F16/215G16Y40/10H04L67/12
Inventor 王曦杨赟捷
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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