Dynamic monitoring system and method of multi-perception Internet of Things

A technology of dynamic monitoring and object perception, applied in the field of Internet of Things, can solve problems such as the inability to fundamentally improve the efficiency and accuracy of Internet of Things perception, the impact of data accuracy, and strong data isolation, so as to improve accuracy and ensure accuracy The effect of strong rate and data diversity

Active Publication Date: 2021-11-09
山东美欣医疗科技有限公司
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Its main technical solution is to integrate the sensor shell, multi-sensing sensors and sensor energy supply together, passive sensing and active sensing to learn the changes of environmental parameters in the Internet of Things, improve the efficiency and accuracy of sensing, but for complex environments and large objects Networking, which cannot fundamentally improve th

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Dynamic monitoring system and method of multi-perception Internet of Things
  • Dynamic monitoring system and method of multi-perception Internet of Things

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] like figure 1 The dynamic monitoring system of the multi-sensor network includes: unit sensor group, configured to monitor the Internet of-connected device or node that needs to be monitored, acquires run data and environmental data of the Internet of Things device or node; the unit The sensor group includes several types of different types of sensors, each type of sensor has at least three; each type of sensor has only one sensor at the same time in the working state, and the other sensors are in a sleep state, after the set time period. The sensor of the working state will enter the sleep state, and the sensor in the sleep state will enter the working state, and each sensor stores the perceived environmental data and running data; the system also includes: the same amount is the same as the number of unit sensor groups. Data extraction and pretreatment unit; each of the data extraction and preprocessing units are connected to each sensor signal in the cell sensor group, a...

Embodiment 2

[0030] On the basis of the previous embodiment, the data abnormality analysis unit is based on the obtained preprocessing data, and the method of performing data abnormal analysis comprises analyzing each of a certain type of sensor within a set time range. Data differences between the sensors, analyzed within the set time range, data differences in each sensor itself in a certain type of sensor, and analysis within the set time range, different types of sensors The correlation correlation between data that is sensible; the variation correlation includes: if the data is increased or decreased, the data is positively correlated; if the data is increased, another data is reduced. , Or a certain data is reduced, and another data is growing, and the data is negatively correlated; if there is a data growth between data, and the additional data or growth, or decrease, the data is non-related variation. .

[0031] With the above technical solution, the Internet of Things, referred to as ...

Embodiment 3

[0033] On the basis of the previous embodiment, the data extraction and the pretreatment unit perform data pre-processed environmental data and operational data, including: data specification and data standardization; the data specification includes: the environmental data and Run the data for de-coherence processing, the processed data is not coherent, but the original information is maintained; the data standardization includes: scaling the data processed by the data protocol to make it entering the set interval.

[0034] Specifically, there are two main pathways: attribute selection and data sampling, respectively, for the properties and records in the original data set.

[0035] Assume that data is selected in the company's data warehouse for analysis. Such a data set will be very large. Complex data analysis buckle mining in massive data will take a long time so that this analysis is unrealistic or not feasible.

[0036] Data spending techniques can be used to get the amount ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of Internet of Things, and particularly relates to a dynamic monitoring system and method based on a multi-perception Internet of Things. The system comprises a unit sensor group which is configured on each piece of Internet of Things equipment or node needing to be monitored and is used for acquiring operation data and environment data of the Internet of Things equipment or node; the unit sensor group comprises a plurality of types of sensors with different functions, and at least three sensors are arranged in each type; only one sensor of each type of sensors is in a working state at the same moment, the other sensors are in a dormant state, and each sensor stores sensed environment data and operation data. According to the method, dynamic monitoring of the Internet of Things is carried out by utilizing data changes sensed by the multiple sensors in different time periods and data changes sensed by the sensors in different time periods, whether the operation state of the Internet of Things is abnormal or not is judged, and the method has the advantage of high sensing accuracy.

Description

Technical field [0001] The present invention belongs to the field of Internet of Things, and in particular to a dynamic monitoring system and method of multi-sensitive network. Background technique [0002] The Internet of Things, IOT, refers to a variety of information sensors, radio frequency identification technologies, global positioning systems, infrared sensors, laser scanners, and other devices and technologies, collect any need to monitor, connection, interaction in real time. Object or process, collect information needed for sound, light, heat, electricity, mechanics, chemistry, biological, location and other needs, through various possible network access, realizing the content and people To achieve intelligent perception, identification and management of items and processes. The Internet of Things is an information carrier based on the Internet, a traditional telecommunications network, which allows all common physical objects that can be independently addressing interc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04L29/08G16Y40/20G16Y40/10G16Y20/20G16Y10/75
CPCH04L67/12G16Y10/75G16Y20/20G16Y40/10G16Y40/20
Inventor 徐富山
Owner 山东美欣医疗科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap