CN116032692A - Intelligent Internet of things gateway and Internet of things system based on same - Google Patents
Intelligent Internet of things gateway and Internet of things system based on same Download PDFInfo
- Publication number
- CN116032692A CN116032692A CN202211507045.9A CN202211507045A CN116032692A CN 116032692 A CN116032692 A CN 116032692A CN 202211507045 A CN202211507045 A CN 202211507045A CN 116032692 A CN116032692 A CN 116032692A
- Authority
- CN
- China
- Prior art keywords
- internet
- things
- node
- cluster
- gateway
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses an intelligent Internet of things gateway and an Internet of things system based on the intelligent Internet of things gateway, in particular to the technical field of Internet of things systems, which are used for solving the problems that the monitoring management of the existing Internet of things is mostly only based on monitoring data acquired by a sensing layer for analysis, whether the acquired data are correct and timely is not subjected to pertinence judgment, and the resulting monitoring effect is poor, and the problems comprise an application layer, a network layer and the sensing layer; the application layer comprises an upper monitoring center, the network layer comprises an Internet of things gateway module, and the sensing layer comprises a sensor node module; the real-time state of each node is perceived through the intelligent gateway, monitoring and control are carried out according to various monitoring information acquired by each node, and key areas are processed in sequence by combining the real-time state of each node.
Description
Technical Field
The invention relates to the technical field of internet of things systems, in particular to an intelligent internet of things gateway and an internet of things system based on the intelligent internet of things gateway.
Background
The internet of things refers to the real-time collection of any object or process needing to be monitored, connected and interacted through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors, laser scanners and the like.
At present, along with the progress of society, the monitoring of the internet of things is used in aspects of society, such as agriculture, marine industry, intelligent home and the like, but the current monitoring management of the internet of things is mostly only based on the analysis of monitoring data acquired by a sensing layer, whether the acquired data are correct and timely is not judged in a targeted manner, and the condition of poor monitoring effect is caused.
In order to solve the above problems, a technical solution is now proposed.
Disclosure of Invention
In order to overcome the defects in the prior art, the embodiment of the invention provides an intelligent Internet of things gateway and an Internet of things system based on the intelligent Internet of things gateway, wherein the intelligent gateway senses the real-time state of each node, monitors and controls various monitoring information collected by each node, and processes key areas in sequence by combining the real-time state of each node so as to solve the problems in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an internet of things system based on an intelligent internet of things gateway comprises an application layer, a network layer and a perception layer; the application layer comprises an upper monitoring center, the network layer comprises an Internet of things gateway module, and the sensing layer comprises a sensor node module;
the upper monitoring center is used for sending a control command to the sensor node module through the gateway module of the Internet of things, carrying out early warning analysis on a monitoring area according to monitoring information acquired by the sensor node module, and implementing management and control measures according to the early warning analysis;
the gateway module of the Internet of things is used for connecting the sensor node module with the upper monitoring center;
the sensor node module is used for collecting monitoring information in the monitoring area and sending the monitoring information to the upper monitoring center through the gateway module of the Internet of things.
In a preferred embodiment, the sensor node module adopts a self-organizing hierarchical clustering structure network to divide the whole monitoring area into a plurality of subareas, each subarea is a cluster, and one cluster comprises a cluster head node and a sensor node;
the sensor node is used for collecting data or receiving commands and sending the collected data to the cluster head node;
the cluster head node is used for receiving data sent by the sensor of the cluster or receiving an Internet of things gateway command, fusing the received sensor data and then sending the sensor data to the Internet of things gateway through the wireless radio frequency module;
each cluster collects only one type of monitoring data.
In a preferred embodiment, the gateway module of the internet of things obtains the running state of the sensor nodes in each cluster, marks the total number of the sensor nodes in each cluster as a, marks the damaged number of the sensor nodes in each cluster as a, and sends the damaged rate S of the sensor nodes in each cluster to an upper monitoring center for analysis and processing;
the upper monitoring center compares the damage rate S of the sensor node with a standard damage threshold, and if the damage rate S of the sensor node is larger than or equal to the standard damage threshold, the upper monitoring center generates an alarm signal at the moment and gives an alarm prompt; if the damage rate S of the sensor nodes is smaller than the standard damage threshold, the upper monitoring center adds and averages the data sent by all the sensor nodes which normally operate at the moment, and a final monitoring value is determined.
In a preferred embodiment, the gateway module of the internet of things further obtains the node transmission speed of each cluster, marks the node transmission speed as V, sets the standard speed threshold as V0, and sends the node transmission speed V to an upper monitoring center for analysis and processing;
the upper monitoring center compares the node transmission speed V with a standard speed threshold V0, and if the node transmission speed V is smaller than the standard speed threshold V0, the upper monitoring center generates an alarm signal at the moment and prompts an alarm; if the node transmission speed V is greater than or equal to the standard speed threshold V0, the upper monitoring center carries out comprehensive evaluation analysis on the monitoring area according to the monitoring information collected by each cluster.
In a preferred embodiment, after the upper monitoring center obtains the comprehensive evaluation coefficient E, comparing the comprehensive evaluation coefficient E with a standard evaluation threshold, and if the comprehensive evaluation coefficient E is greater than or equal to the standard evaluation threshold, maintaining according to a plan; and if the comprehensive evaluation coefficient E is smaller than the standard evaluation threshold value, immediately performing maintenance adjustment.
In a preferred embodiment, when a plurality of influencing parameters do not reach the standard and are required to be overhauled and adjusted, the upper monitoring center can carry out weight sequencing on all the influencing parameters required to be overhauled and adjusted according to the damage rate S of the sensor nodes and the transmission speed V of the nodes of the acquisition cluster, and the specific process is as follows:
for clusters meeting the requirements of the sensor node damage rate and the node transmission speed, unified analysis is carried out according to the node transmission speed V and the sensor node damage rate S, the acquisition quality coefficient Q is calculated, and the specific calculation expression is as follows:
in the formula g 1 、g 2 Respectively preset proportionality coefficients of node transmission speed and sensor node damage rate, and g 2 >g 1 >0，g 1 +g 2 ＝1；
The upper monitoring center performs weight sequencing on all the influence parameters to be overhauled and adjusted according to the size relation of the acquisition quality coefficient Q, and performs priority overhauling and adjustment on the influence parameters to be overhauled and adjusted with the small acquisition quality coefficient Q.
An intelligent internet of things gateway is used for realizing the internet of things system based on the intelligent internet of things gateway and comprises a processor unit, a wireless interface unit and a wired interface unit.
The internet of things system based on the intelligent internet of things gateway has the technical effects and advantages that:
the method senses the real-time state of each node through the intelligent gateway, monitors, controls and controls various monitoring information acquired by each node, and processes key areas in sequence by combining the real-time state of each node; the situation that the monitoring effect is poor due to the fact that the accuracy of a data source is not judged pertinently in the existing internet of things system is avoided.
Drawings
Fig. 1 is a schematic structural diagram of an internet of things system based on an intelligent internet of things gateway.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
According to the intelligent Internet of things gateway and the Internet of things system based on the intelligent Internet of things gateway, the real-time state of each node is perceived through the intelligent gateway, monitoring and control are carried out according to various monitoring information collected by each node, and key areas are processed in sequence by combining the real-time state of each node. The situation that the monitoring effect is poor due to the fact that the accuracy of a data source is not judged pertinently in the existing internet of things system is avoided.
Fig. 1 shows a schematic structural diagram of an internet of things system based on an intelligent internet of things gateway, which includes an application layer, a network layer and a perception layer. The application layer comprises an upper monitoring center, the network layer comprises an Internet of things gateway module, and the sensing layer comprises a sensor node module.
The upper monitoring center is used for sending a control command to the sensor node module through the gateway module of the Internet of things, carrying out early warning analysis on the monitoring area according to the monitoring information acquired by the sensor node module, and implementing corresponding management and control measures according to the early warning analysis.
The gateway module of the Internet of things is used for connecting the sensor node module with the upper monitoring center, so that protocol conversion between the sensing network and the communication network and between different types of sensing networks can be realized, and wide area interconnection and local area interconnection can be realized.
The sensor node module is used for collecting monitoring information in the monitoring area and sending the monitoring information to the upper monitoring center through the gateway module of the Internet of things for early warning analysis.
Specifically, the gateway module of the internet of things comprises a plurality of gateways of the internet of things, the gateways of the internet of things have a device management function, each sensing node at the bottom layer is managed through the gateway of the internet of things, the related information of each node is known, and remote control is realized. The internet of things gateway comprises a processor unit, a wireless interface unit and a wired interface unit, and can be responsible for mutual conversion among 3 protocols. The specific processor and the internal hardware selection of the interface unit may be set according to actual needs, for example, the wired ethernet chip adopts DM9000 supporting ieee 802.3x full duplex flow control and half duplex flow control, the wireless 3G module adopts MU103 developed by wagons corporation, and the like, which are not described herein.
The sensor node module adopts a self-organizing hierarchical structure network of clusters, the whole monitoring area is divided into a plurality of subareas, each subarea can be regarded as a cluster, one cluster comprises a cluster head node and a cluster member node, the main function of the cluster member node is to collect data or receive commands and send the collected data to the cluster head node, the main function of the cluster head node is to receive data sent by the cluster member of the cluster where the cluster head node is located or receive commands of an Internet of things gateway, and the received cluster head data are fused and then sent to the Internet of things gateway through the wireless radio frequency module. Each cluster member node is a sensor node and is used for collecting various monitoring information.
The upper monitoring center comprises monitoring center software which can be accessed by means of a personal PC, a mobile phone and the like to check and analyze information monitored in real time.
The sensor node module comprises a plurality of clusters, each cluster is used for respectively acquiring and acquiring one monitoring information, each cluster comprises a plurality of sensor nodes, and an upper monitoring center is used for adding and averaging the monitoring data acquired by each sensor node to acquire a final monitoring information monitoring value. Therefore, when all the sensor nodes in each cluster function normally, the monitoring information finally determined by the upper monitoring center is more accurate.
The gateway module of the Internet of things acquires the running state of each cluster of internal sensor nodes, checks whether the sensor nodes are damaged, marks the total number of the sensor nodes in each cluster as A, marks the damage number of the sensor nodes in each cluster as a, then the damage rate S=a/A of the sensor nodes, and sends the damage rate S of the sensor nodes in each cluster to an upper monitoring center for analysis and processing. The upper monitoring center compares the damage rate S of the sensor nodes with a standard damage threshold, if the damage rate S of the sensor nodes is larger than or equal to the standard damage threshold, the sensor nodes in the cluster are more damaged, the accuracy of the monitoring data of the cluster cannot be ensured, at the moment, the upper monitoring center generates an alarm signal, alarms and prompts the cluster, workers are prompted to repair the sensor nodes damaged in the cluster later, if the damage rate S of the sensor nodes is smaller than the standard damage threshold, the damage rate S of the sensor nodes in the cluster is within a controllable range, at the moment, the upper monitoring center adds and averages the data sent by all the sensor nodes which are normal in operation, and the final monitoring value is determined.
The gateway module of the Internet of things also obtains the node transmission speed of each cluster, determines the feedback speed of each cluster, marks the node transmission speed as V, sets the standard speed threshold as V0, and sends the node transmission speed V to an upper monitoring center for analysis and processing. The upper monitoring center compares the node transmission speed V with a standard speed threshold V0, if the node transmission speed V is smaller than the standard speed threshold V0, the cluster transmission speed is not in accordance with the requirement, at the moment, the upper monitoring center generates an alarm signal, and alarms and prompts the cluster to prompt staff to maintain the cluster subsequently. If the node transmission speed V is greater than or equal to the standard speed threshold V0, it is indicated that the node transmission speed V meets the minimum transmission requirement, and at this time, the upper monitoring center evaluates and analyzes the monitoring area according to the monitoring information collected by each cluster, and the specific process is as follows:
the sensor node module collects monitoring information and sends the monitoring information to the upper monitoring center through the Internet of things gateway module, the monitoring information comprises a plurality of environmental influence parameters to be monitored and influence factors of various devices, comprehensive analysis is carried out on all the parameters, and whether the comprehensive evaluation coefficient of the monitoring area meets the requirement is determined.
In an optional example, if the scene monitored by the upper monitoring center is an intelligent home scene, the sensor node module collects monitoring information including environment information and equipment information, wherein the environment information and the equipment information are collected by different clusters respectively, the environment information can include environment temperature T, environment humidity Rh, environment noise N, environment light intensity I and the like, deviation values of the environment temperature T, the environment humidity Rh, the environment light intensity I and optimal values thereof are calculated respectively, and the deviation values are calibrated as PT, PRh and PI respectively; the equipment information can comprise household appliance operation time t, household appliance operation voltage data V, and the like; calculating deviation values of the running time t and the running voltage data V of the household appliances and the optimal values of the running time t and the running voltage data V of the household appliances respectively, and calibrating the deviation values as Pt and PV respectively; the comprehensive evaluation coefficient E can be calculated according to the formula, and the specific expression is as follows:
wherein k is 1 、k 2 、k 3 、k 4 、k 5 、k 6 The preset proportionality coefficients are respectively an ambient temperature deviation value, an ambient humidity deviation value, an ambient noise, an ambient light intensity deviation value, a household appliance operation time length deviation value and a household appliance operation voltage data deviation value, and k 1 +k 2 +k 3 +k 4 +k 5 +k 6 ＝6.319。
When the environmental temperature deviation value, the environmental humidity deviation value, the environmental noise, the environmental light intensity deviation value, the household appliance operation time duration deviation value and the household appliance operation voltage data deviation value become larger, the overall household environment quality is reduced.
For another example, if the scene monitored by the upper monitoring center is a marine environment, the sensor node module collects environmental monitoring information including seawater temperature, PH value, heavy metal content and the like, and can calculate the overall comprehensive evaluation coefficient according to a formula at the moment, and the specific method is similar to the intelligent home and is not repeated here.
After the upper monitoring center obtains the comprehensive evaluation coefficient E, the comprehensive evaluation coefficient E is compared with the standard evaluation threshold, if the comprehensive evaluation coefficient E is larger than or equal to the standard evaluation threshold, the situation that the upper monitoring center monitors meets the monitoring requirement is indicated, and at the moment, the upper monitoring center does not need to be maintained and adjusted immediately, and only needs to be maintained according to a plan. If the comprehensive evaluation coefficient E is smaller than the standard evaluation threshold, the condition that the whole monitoring environment does not meet the expected requirement at the moment is indicated, and the maintenance and adjustment are needed at the moment.
Because each influence parameter of the system is collected by each cluster, the cluster from which the influence parameter is collected can be determined according to the change of a certain influence parameter in the formula.
For example, when a certain parameter in the environmental information does not reach the standard, it can be determined which cluster the parameter is collected from.
Furthermore, when the system has a plurality of influence parameters which do not reach the standard and are required to be overhauled and adjusted, the same adjustment and maintenance can not be performed at the same time due to excessive influence parameters, and at the moment, the upper monitoring center can carry out weight sequencing on all the influence parameters which are required to be overhauled and adjusted according to the damage rate S of the sensor nodes and the transmission speed V of the nodes of the acquisition cluster, so that the overhauling sequence is determined, and the specific process is as follows:
for clusters meeting the requirements of the sensor node damage rate and the node transmission speed, unified analysis is carried out according to the node transmission speed V and the sensor node damage rate S, the acquisition quality coefficient Q is calculated, and the specific calculation expression is as follows:
in the formula g 1 、g 2 Respectively preset proportionality coefficients of node transmission speed and sensor node damage rate, and g 2 >g 1 >0，g 1 +g 2 ＝1。
It should be noted that, when the node transmission speed is faster, the information speed received by the gateway of the internet of things is faster, and the overall monitoring data acquisition speed of the upper monitoring center is faster, the monitoring effect is higher, so that the acquisition quality of the cluster is higher. When the damage rate of the sensor nodes is higher, the damage quantity of the sensor nodes in the cluster is larger, and the acquisition quality is poorer.
Therefore, the upper monitoring center performs weight sorting on all the influence parameters to be overhauled and adjusted according to the size relation of the acquisition quality coefficient Q, and the smaller the acquisition quality coefficient Q is, the larger the overhauling weight is, namely, the priority overhauling adjustment is performed on the influence parameters to be overhauled and adjusted with the smaller acquisition quality coefficient Q.
The carbon emission monitoring and controlling system based on intelligent energy management comprises the following specific working steps:
the upper monitoring center analyzes the damage rate of the sensor nodes and the transmission speed of the nodes of each cluster, marks the damage rate which does not meet the damage rate of the sensor nodes and/or the transmission speed of the nodes as clusters with poor quality, alarms aiming at the clusters, and prompts related staff to repair and detect the clusters;
when the damage rate of the sensor nodes of each cluster and the transmission speed of the nodes meet the requirements, the upper monitoring center evaluates and analyzes the monitoring area according to the monitoring information collected by each cluster, and overhauls and adjusts the influencing parameters which do not meet the standards;
when the upper monitoring center needs to overhaul and adjust the multiple influencing parameters, the upper monitoring center performs weight sequencing on all the influencing parameters needing overhaul and adjustment, and performs priority overhaul and adjustment on the influencing parameters needing overhaul and adjustment with small acquisition quality coefficient.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the system embodiments described above are merely illustrative, e.g., the partitioning of the module elements is merely a logical functional partitioning, and there may be additional partitioning in actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (7)
1. Internet of things system based on intelligent Internet of things gateway, which is characterized in that: the system comprises an application layer, a network layer and a perception layer; the application layer comprises an upper monitoring center, the network layer comprises an Internet of things gateway module, and the sensing layer comprises a sensor node module;
the upper monitoring center is used for sending a control command to the sensor node module through the gateway module of the Internet of things, carrying out early warning analysis on a monitoring area according to monitoring information acquired by the sensor node module, and implementing management and control measures according to the early warning analysis;
the gateway module of the Internet of things is used for connecting the sensor node module with the upper monitoring center;
the sensor node module is used for collecting monitoring information in the monitoring area and sending the monitoring information to the upper monitoring center through the gateway module of the Internet of things.
2. The internet of things system based on an intelligent internet of things gateway of claim 1, wherein: the sensor node module adopts a self-organizing clustering hierarchical structure network to divide the whole monitoring area into a plurality of subareas, each subarea is a cluster, and one cluster comprises a cluster head node and a sensor node;
the sensor node is used for collecting data or receiving commands and sending the collected data to the cluster head node;
the cluster head node is used for receiving data sent by the sensor of the cluster or receiving an Internet of things gateway command, fusing the received sensor data and then sending the sensor data to the Internet of things gateway through the wireless radio frequency module;
each cluster collects only one type of monitoring data.
3. The internet of things system based on the intelligent internet of things gateway according to claim 2, wherein: the gateway module of the Internet of things obtains the running state of each cluster of internal sensor nodes, the total number of the sensor nodes in each cluster is marked as A, the damage number of the sensor nodes in each cluster is marked as a, the damage rate S=a/A of the sensor nodes is calculated, and the damage rate S of the sensor nodes in each cluster is sent to an upper monitoring center for analysis and processing;
the upper monitoring center compares the damage rate S of the sensor node with a standard damage threshold, and if the damage rate S of the sensor node is larger than or equal to the standard damage threshold, the upper monitoring center generates an alarm signal at the moment and gives an alarm prompt; if the damage rate S of the sensor nodes is smaller than the standard damage threshold, the upper monitoring center adds and averages the data sent by all the sensor nodes which normally operate at the moment, and a final monitoring value is determined.
4. The internet of things system based on an intelligent internet of things gateway of claim 3, wherein: the gateway module of the Internet of things also obtains the node transmission speed of each cluster, marks the node transmission speed as V, sets a standard speed threshold as V0, and sends the node transmission speed V to an upper monitoring center for analysis and processing;
the upper monitoring center compares the node transmission speed V with a standard speed threshold V0, and if the node transmission speed V is smaller than the standard speed threshold V0, the upper monitoring center generates an alarm signal at the moment and prompts an alarm; if the node transmission speed V is greater than or equal to the standard speed threshold V0, the upper monitoring center carries out comprehensive evaluation analysis on the monitoring area according to the monitoring information collected by each cluster.
5. The internet of things system based on an intelligent internet of things gateway of claim 4, wherein: after the upper monitoring center acquires the comprehensive evaluation coefficient E, comparing the comprehensive evaluation coefficient E with a standard evaluation threshold, and if the comprehensive evaluation coefficient E is greater than or equal to the standard evaluation threshold, maintaining according to a plan; and if the comprehensive evaluation coefficient E is smaller than the standard evaluation threshold value, immediately performing maintenance adjustment.
6. The internet of things system based on an intelligent internet of things gateway of claim 5, wherein: when a plurality of influence parameters do not reach the standard and are required to be overhauled and adjusted, the upper monitoring center can carry out weight sorting on all the influence parameters required to be overhauled and adjusted according to the damage rate S of the sensor nodes and the transmission speed V of the nodes of the acquisition cluster, and the specific process is as follows:
for clusters meeting the requirements of the sensor node damage rate and the node transmission speed, unified analysis is carried out according to the node transmission speed V and the sensor node damage rate S, the acquisition quality coefficient Q is calculated, and the specific calculation expression is as follows:
in the formula g 1 、g 2 Respectively preset proportionality coefficients of node transmission speed and sensor node damage rate, and g 2 >g 1 >0，g 1 +g 2 ＝1；
The upper monitoring center performs weight sequencing on all the influence parameters to be overhauled and adjusted according to the size relation of the acquisition quality coefficient Q, and performs priority overhauling and adjustment on the influence parameters to be overhauled and adjusted with the small acquisition quality coefficient Q.
7. An intelligent internet of things gateway for implementing the internet of things system based on the intelligent internet of things gateway as set forth in any one of claims 1-6, wherein: including a processor unit, a wireless interface unit, and a wired interface unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211507045.9A CN116032692A (en) | 2022-11-29 | 2022-11-29 | Intelligent Internet of things gateway and Internet of things system based on same |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211507045.9A CN116032692A (en) | 2022-11-29 | 2022-11-29 | Intelligent Internet of things gateway and Internet of things system based on same |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116032692A true CN116032692A (en) | 2023-04-28 |
Family
ID=86071545
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211507045.9A Pending CN116032692A (en) | 2022-11-29 | 2022-11-29 | Intelligent Internet of things gateway and Internet of things system based on same |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116032692A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116820057A (en) * | 2023-08-30 | 2023-09-29 | 四川远方云天食品科技有限公司 | Hotpot condiment production monitoring method and system based on Internet of things |
| CN116866177A (en) * | 2023-09-01 | 2023-10-10 | 北京九建科技有限公司 | Data management system for intelligent gateway |
-
2022
- 2022-11-29 CN CN202211507045.9A patent/CN116032692A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116820057A (en) * | 2023-08-30 | 2023-09-29 | 四川远方云天食品科技有限公司 | Hotpot condiment production monitoring method and system based on Internet of things |
| CN116820057B (en) * | 2023-08-30 | 2023-12-01 | 四川远方云天食品科技有限公司 | Hotpot condiment production monitoring method and system based on Internet of things |
| CN116866177A (en) * | 2023-09-01 | 2023-10-10 | 北京九建科技有限公司 | Data management system for intelligent gateway |
| CN116866177B (en) * | 2023-09-01 | 2023-11-03 | 北京九建科技有限公司 | Data management system for intelligent gateway |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116032692A (en) | Intelligent Internet of things gateway and Internet of things system based on same | |
| CN108803552B (en) | Monitoring system and monitoring method for equipment fault | |
| CN114630352B (en) | Fault monitoring method and device for access equipment | |
| CN109874148B (en) | Antenna feeder anomaly detection method, device and system and computer equipment | |
| CN117057670A (en) | Property intelligent energy management system based on Internet of things | |
| CN110730234A (en) | Electrical fire monitoring system and intelligent early warning analysis method thereof | |
| CN116800199A (en) | Distributed photovoltaic operation electric energy quality monitoring and analyzing method | |
| CN116545954A (en) | Communication gateway data transmission method and system based on Internet of things | |
| CN114689129B (en) | Underground space environment monitoring system and method | |
| CN110941558B (en) | Intelligent office remote operation and maintenance method and system | |
| CN116611953A (en) | Electric energy meter production and manufacturing real-time data management method and system based on Internet of things | |
| CN110647086A (en) | Intelligent operation and maintenance monitoring system based on operation big data analysis | |
| WO2018232978A1 (en) | Monitored device working state determination method and convergence unit | |
| CN115118578A (en) | SCADA system based on WEB | |
| CN114611587A (en) | Knowledge and data hybrid driven industrial data alignment method | |
| CN113596076A (en) | Internet of things information aggregation method applied to smart power grid | |
| CN113301560A (en) | Electric power Internet of things terminal control method and system | |
| CN112533168A (en) | Data processing method of wireless sensor network node | |
| CN110855775B (en) | Method and system for detecting working state of terminal equipment based on filtering gateway | |
| KR101984258B1 (en) | Systemt and Method for conversing between local smart factory and cloud server | |
| CN111031099A (en) | Energy efficiency real-time monitoring and control management system | |
| CN113129160A (en) | Electric power communication network inspection method based on equipment state perception and intellectualization | |
| EP3807974A1 (en) | Method and apparatus for controlling charging, based on monitored communication signals associated with charging session | |
| CN117544998B (en) | Wireless network speed intelligent evaluation system based on artificial intelligence | |
| CN116167604B (en) | Intelligent management system for power product production based on production full-flow tracking |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |