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Internet of Things equipment working condition data analysis method and device and computer equipment

A technology of working condition data and analysis method, applied in the direction of calculation, electrical digital data processing, instrument, etc., can solve the problem of low accuracy of equipment working state positioning

Inactive Publication Date: 2021-01-15
长沙树根互联技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the existing monitoring of IoT equipment, when obtaining working condition data for analysis of working status, it is generally to set a preset value for the working condition data, and determine the working status of the equipment by comparing with the preset value. The positioning accuracy for the working status of the equipment is low

Method used

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  • Internet of Things equipment working condition data analysis method and device and computer equipment
  • Internet of Things equipment working condition data analysis method and device and computer equipment
  • Internet of Things equipment working condition data analysis method and device and computer equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] figure 1 It is a flow chart of a method for analyzing working condition data of an IoT device provided in Embodiment 1 of the present invention, and the method includes the following steps:

[0050] Step S11: receiving original working condition data, and generating working condition data after performing resampling processing with a preset frequency on the original working condition data.

[0051] In the embodiment of the present invention, on the target device that needs to monitor the working status, a computer device that analyzes the working condition data of the IoT device can be connected through the Internet of Things. When the target device is running, the computer device can pass the Various sensors collect raw working condition data in real time, and resample the original working condition data to generate preset frequency working condition data, which is convenient for subsequent data analysis to obtain the working status of the current target equipment.

[0...

Embodiment 2

[0061] figure 2 It is a flow chart of a method for analyzing working condition data of an IoT device provided in Embodiment 2 of the present invention, and the method includes the following steps:

[0062] Step S21: receiving original working condition data, and generating working condition data after performing resampling processing with a preset frequency on the original working condition data.

[0063] This step is consistent with the above step S11, and will not be repeated here.

[0064] Step S22: using a preset algorithm to split the working condition data within a preset period of time into at least one working condition data segment with the same change trend.

[0065] This step is consistent with the above step S12, and will not be repeated here.

[0066] Step S23: Perform calculation and analysis on the at least one working condition data segment by using a preset physical model, where the preset physical model includes calculation rules when the target equipment ...

Embodiment 3

[0072] image 3 It is a flow chart of splitting working condition data segments provided by Embodiment 3 of the present invention, including the following steps:

[0073] Step S31: Read the working condition data within a preset time period, and set each data point as an initial data set.

[0074] Step S32: Using the preset algorithm to calculate the correlation parameter between two adjacent data sets.

[0075] In the embodiment of the present invention, the preset algorithm includes a linear regression algorithm, a covariance algorithm, a covariance matrix algorithm, a single regression algorithm or a multiple regression algorithm. An application program based on the above-mentioned preset algorithm can be set in the computer equipment. After reading the working condition data, two adjacent working condition data points can be input into the application program to obtain the difference between the working condition data points. Correlation parameters between.

[0076] Ste...

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Abstract

The invention provides an Internet of Things equipment working condition data analysis method and device and computer equipment, and the method comprises the steps: receiving original working condition data, carrying out the resampling of the original working condition data at a preset frequency, and generating the working condition data; splitting the working condition data in the preset time period into at least one working condition data segment with the same data change trend in the segment by utilizing a preset algorithm; performing operational analysis on the at least one working condition data segment by utilizing a preset physical model to obtain an analysis result, the preset physical model comprising an operational rule when the target equipment runs; writing the generated working condition data of the preset frequency into a cache in an offline state; and regularly executing the step of splitting the working condition data in the preset time period into at least one workingcondition data segment with the same change trend by utilizing a preset algorithm and subsequent steps. According to the invention, the accuracy of positioning the working state of the target equipment can be improved, and the accuracy of analyzing the working state of the target equipment is improved.

Description

technical field [0001] The present invention relates to the field of data detection, in particular to a method, device, computer equipment, and readable storage medium for analyzing working condition data of IoT equipment. Background technique [0002] In the existing monitoring of IoT equipment, when obtaining working condition data for analysis of working status, it is generally to set a preset value for the working condition data, and determine the working status of the equipment by comparing with the preset value. The positioning accuracy for the working state of the equipment is low. Contents of the invention [0003] In view of the above problems, the present invention provides a method, device, computer equipment and readable storage medium for analyzing the working condition data of the IoT equipment, so as to improve the accuracy of locating the working condition of the target equipment and improve the accuracy of the analysis of the working condition of the targe...

Claims

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Application Information

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IPC IPC(8): G06F11/30G16Y40/10
CPCG06F11/3006G06F11/3055G16Y40/10
Inventor 苏博魏自力何浩智卢帆
Owner 长沙树根互联技术有限公司
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