CN112788798A - Master-slave negotiation multi-gateway intelligent Zigbee network system - Google Patents
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Abstract
The invention provides a master-slave negotiation multi-gateway intelligent Zigbee network system, which comprises: a sensing layer, a transmission layer and a gateway layer; the sensing layer is formed by distributing intelligent terminal nodes, and the intelligent terminal nodes acquire/release data and forward the data to the gateway layer; the transmission layer is used for connecting the gateway layer and the Internet of things platform and realizing bidirectional authentication and data encryption transmission between the terminal and the cloud end; the gateway layer comprises at least one edge gateway, each edge gateway collects data of intelligent terminal nodes managed by the edge gateway in real time, performs data cleaning and operation on a large amount of data, calculates and converts various different data into a uniform data model, uses the calculated data for local circulation storage or direct response on one hand, and uploads the calculated data to the cloud end through a transmission layer according to a specific rule and realizes interaction with the cloud end on the other hand; the robustness of the system operation is improved through one-master multi-slave auto-negotiation.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a master-slave negotiation multi-gateway intelligent Zigbee network system.
Background
With the development of the internet of things, the intelligent devices of the family become richer and more active. It is not sufficient to connect these smart devices to the network only. We need to better utilize the data generated by these smart devices to serve the current home. In consideration of the problems of network bandwidth, response speed, user experience and the like, a home edge gateway is usually deployed to acquire data of field intelligent equipment in real time, meanwhile, a large amount of data needs to be cleaned, calculated and stored at the edge node, then, the calculated data is uploaded to a cloud end according to a specific rule and interaction with the cloud end is realized, if the system only has one edge gateway, the requirement on the scheme performance of the edge gateway is high, the number of sub-equipment of the system is strictly limited, the stability and the availability of the whole system are influenced, and if the gateway fails, the whole system cannot normally operate.
At present, intelligent home scenes and multi-control completely depend on a central node edge gateway, on one hand, if the gateway fails, the scenes or the multi-control cannot be executed, on the other hand, signals are transmitted in multiple stages, the control instantaneity is low, and the user experience is poor.
If the edge gateway is damaged and needs to be replaced, a series of construction operations such as network retreating, networking and configuration and the like need to be carried out on the sub-equipment to which the edge gateway belongs, and the after-sale maintenance cost of a manufacturer is greatly increased.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a master-slave negotiation multi-gateway intelligent Zigbee network system, and improve the robustness of system operation.
In a first aspect, the present invention provides a master-slave negotiation multi-gateway intelligent Zigbee network system, including: a sensing layer, a transmission layer and a gateway layer;
the sensing layer is formed by distributing intelligent terminal nodes, and the intelligent terminal nodes acquire/release data and forward the data to the gateway layer;
the transmission layer is used for connecting the gateway layer and the Internet of things platform and realizing bidirectional authentication and data encryption transmission between the terminal and the cloud end;
the gateway layer comprises at least one edge gateway, each edge gateway collects data of intelligent terminal nodes managed by the edge gateway in real time, performs data cleaning and operation on a large amount of data, calculates and converts various different data into a uniform data model, uses the calculated data for local circulation storage or direct response on one hand, and uploads the calculated data to the cloud end through a transmission layer according to a specific rule and realizes interaction with the cloud end on the other hand;
the gateway layer adopts an auto-negotiation master-slave mode, namely a core gateway, or a core gateway and at least one slave gateway, wherein the core gateway is a data pipeline between the gateway layer and the Internet of things platform, and establishes a connection with the Internet of things platform to subscribe/publish data between the sensing layer and the Internet of things platform in real time; and after the data of the intelligent terminal nodes managed by the slave gateway is collected in real time by the slave gateway and is subjected to a series of operations, if the slave gateway needs to interact with the platform, the slave gateway communicates through a data pipeline established by the core gateway.
Further, the auto-negotiation master-slave mode adopts a sentinel mode; the edge gateways form a sentinel system, and the state of each edge gateway is monitored through the sentinel system; and if the core gateway is monitored to enter the offline state, upgrading a certain slave gateway to a new master gateway.
Further, the sentinel system monitors the status of each edge gateway through a heartbeat mechanism.
Further, the auto-negotiation adopts an election algorithm, after the master gateway is offline, the slave gateway is considered to be offline, the slave gateway negotiates with other slave gateways to be selected, the gateway requires the other slave gateways to select the master gateway, and the gateway is elected to be a new master gateway according to the first come first get principle to perform the operation of switching the master gateway.
Further, when the master gateway normally operates, the master gateway collects and backs up parameter information of all zigbee coordinators under the master gateway and the slave gateway, and uploads the parameter information to the cloud;
when an edge gateway needs to be replaced, the sn address corresponding to the configuration coordinator is replaced at the moment, the backup coordination parameter is transmitted to the edge gateway after replacement, and the coordinator information in the edge gateway after replacement is covered at the moment, so that network recovery is realized.
Furthermore, the coordinator parameters are divided into local and remote, the local records are real-time coordinator information, the remote records are parameters of backup configuration, and when the set information in the two parameter information is not changed, replacement is not performed; when the setting information changes, the gateway is indicated to be abnormal or replaced, and replacement is carried out at the moment;
when the sn address is not constructed and replaced after the main gateway is replaced, the cloud backup cannot be erased because the sn address does not correspond to the sn address, and only after the sn address is replaced, replacement operation is performed.
Further, the step of the master gateway collecting all zigbee coordinator parameter information under the backup master gateway and the slave gateway is further specifically as follows: the master gateway periodically collects all zigbee coordinator parameter information under the backup master gateway and the slave gateway.
Further, configuring the child nodes responsible for each edge gateway, and distributing the child nodes to the nearest edge gateway according to the principle of proximity; and configuring a list of child nodes allowed to be accessed in each edge gateway, and not allowing the child nodes outside the list of the child nodes to join the edge gateway.
One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:
1. one-master multi-slave auto-negotiation effectively improves the operation robustness. The edge gateway logic module automatically negotiates a master-slave mode, after negotiation is successful, the system works in the master-slave mode, if the master gateway is abnormal, the rest slave gateways automatically negotiate to generate a new master gateway, and stable operation is guaranteed. Because the plurality of gateways and the cloud end only keep one connection for effective communication, the expense and the cost of the cloud end platform are greatly reduced, and the object-oriented research and development and maintenance of the platform are facilitated.
2. The scheme of the Zigbee multi-coordinator is researched, the problem that in the environment of multiple floors or large flat floors, when terminal nodes cannot completely cover the same Zigbee network is solved, a plurality of Zigbee networks are created through a plurality of slave gateways, and each terminal node is added into a network adjacent to the terminal node, so that the orderly operation of interconnection and intercommunication is realized, and the bottleneck of supporting the number of the terminal nodes in the system is broken through.
3. The intelligent management of the Zigbee sub-networks by the gateway is utilized, the sub-nodes responsible for each gateway can be configured, the network is convenient to construct and maintain, and meanwhile, the gateway can be intelligently configured to have an optimal scene and a multi-control implementation mode, for example, a plurality of sub-nodes need to realize a state synchronization function, if the sub-nodes are under the same gateway, the gateway can adopt a configuration mode of binding among the sub-nodes, so that the gateway can be disconnected to realize the function, and if the sub-nodes are not under the same gateway, a mode of linkage control through the gateway can be adopted; and the scene configuration is the same.
4. When the gateway is damaged and needs to be replaced after sale, the migration can be realized by using the self-recovery function only through one-step simple SN code replacement work without complex work such as network quitting and network access and configuration of child nodes, and the operation and maintenance work is greatly simplified.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
The invention will be further described with reference to the following examples with reference to the accompanying drawings.
Fig. 1 is a distributed home edge gateway system architecture diagram of the present invention;
FIG. 2 is a diagram illustrating auto-negotiation of the first embodiment of the present invention;
FIG. 3 is a diagram illustrating auto-negotiation of the present invention II;
FIG. 4 is a third exemplary auto-negotiation diagram of the present invention;
FIG. 5 is a schematic diagram of an acquisition state of the present invention;
FIG. 6 is a flowchart of an edge gateway implementing an auto-negotiation master-slave mode according to the present invention;
FIG. 7 is an election flow diagram of the present invention;
FIG. 8 is a flow diagram of a distribution network of the present invention;
fig. 9 is a flow chart of the network self-recovery according to the present invention.
Detailed Description
The embodiments of the present application provide a master-slave negotiation multi-gateway intelligent Zigbee network system, which is composed of a plurality of Zigbee coordinator gateways, a plurality of Zigbee route nodes, and terminal nodes, where first, the plurality of Zigbee coordinator gateways adopt an autonomous negotiation manner to elect a master gateway, and the others are slave gateways, and when the master gateway is abnormal, the system elects another gateway as the master gateway in real time. The main gateway is mainly responsible for being connected with the cloud server and simultaneously performing data operation and interaction of the whole system. Each gateway is independently responsible for intelligent Zigbee network creation of a subsystem, a reasonable Zigbee network architecture is divided by projects according to the deployment condition of field nodes and configured into each gateway, and then the gateways allow the child nodes to be added according to the configuration until the whole system is created. The gateway realizes the self-recovery function by configuring related parameters of the Zigbee network.
The technical scheme in the embodiment of the application has the following general idea:
as shown in fig. 1, the distributed home edge gateway system architecture based on auto-negotiation mainly includes a sensing layer, a transport layer and a gateway layer.
The intelligent terminal nodes of the sensing layer are formed in a distributed mode, acquire/issue data and forward the data to the gateway layer, and the intelligent terminal nodes belong to the sensing layer and comprise Zigbee routing nodes and terminal nodes.
The transmission layer is used for connecting the gateway layer and the Internet of things platform, and bidirectional authentication and data encryption transmission between the terminal and the cloud are achieved based on an mqtt protocol.
The gateway layer is composed of a plurality of edge gateways, each edge gateway collects data of intelligent terminal nodes managed by the edge gateway in real time, data cleaning and operation are carried out on a large amount of data, then a plurality of different data are calculated and converted into a unified data model, then the calculated data are used for local circulation storage or direct response on one hand, the other hand uploads the data to the cloud end through the transmission layer according to specific rules and realizes interaction with the cloud end, and each edge gateway comprises a Zigbee coordinator.
First, auto-negotiation process
The key of the system is that a gateway layer adopts an auto-negotiation master-slave mode, namely a core gateway and a plurality of slave gateways exist in the system, the core gateway is a data pipeline between the gateway layer and an Internet of things platform, and an mqtt connection is established between the core gateway and the Internet of things platform to subscribe/publish data between a sensing layer and the Internet of things platform in real time; after collecting the data of the intelligent terminal nodes managed by the gateway in real time from the gateway and carrying out a series of operations, if interaction with a platform is needed, communication can be carried out through a data pipeline established by the core gateway.
As shown in fig. 2, the system auto-negotiation is implemented by a sentinel model (sentinel), which ensures high availability of the system: the Sentinel system, which consists of one or more Sentinel instances, can monitor any number of edge gateways and automatically upgrade a slave gateway to a new master gateway when the monitored master gateway goes offline.
As shown in fig. 3, after Gateway1 goes offline:
as shown in fig. 4, upgrade Gateway2 is the new master Gateway:
as shown in FIG. 5, the sentinel sends an info heartbeat with a frequency of once per second with the sentinel instance that created the command connection before, to determine the state of the current instance. If the down-after-contracts connection is invalid in time, the instance is considered as the subjective downline. The sentinel will then ask other sentinel instances whether the gateway is also considered subjective down status, and when it exceeds a certain quorum, it will be considered objective down status.
As shown in fig. 6, the system adopts election algorithm, and after the main gateway is offline and is regarded as an objective offline state by a certain sentinel, the sentinel can negotiate with other sentinels to be elected. Each sentinel that finds that the main gateway enters the objective offline can require other sentinels to select itself as the lerder, and the election is first come and first come. Meanwhile, each sentinel elects to increase the election ID, and only one lerder is selected in each round of election.
As shown in fig. 7, the election process is as follows:
1. initialization phase, checking the cache library
2. When entering the election stage, the method sends election requests to other nodes and receives replies from other nodes
3. Other nodes reply according to the sequence of receiving election requests whether to agree to become the master node, and each candidate in each round of election ID has only one vote
4. If the node initiating the election exceeds half of votes, the node becomes a main node, the state is converted into a Leader, and other nodes return an election result if detecting that the online Leader exists
5. If there are more than or equal to num (sentinels)/2+1 sentinels, choose a certain sentinels as the lerder. Then the sentinel switches the main gateway operation
Two, zigbee network partitioning
As shown in fig. 8, the system can divide a network for a terminal node of a zigbee protocol, can configure a child node responsible for each gateway, and can purposefully divide the child node to a reasonable gateway according to the actual deployment situation of a field node, for example, the master node and the slave node belong to the master gateway and the slave gateway. The gateway allows the subnodes which belong to the gateway to access the network according to the configuration, and kicks the network after the subnodes which are not belonged to the gateway enter the network by mistake, so that the aim of preventing the subnodes which are not belonged to the gateway from entering is achieved, and therefore all the subnodes are gradually added into the distributed gateway until the whole system is completely established.
The scheme is also suitable for adjusting the sub-nodes responsible for the gateway at any time, when the configuration is updated, and partial sub-nodes do not belong to the gateway any more, the network can be kicked out, and the method can be suitable for a construction scene of networking firstly and then configuring.
The network division is not only convenient for the management of multiple coordinators in the house, but also prevents the sub-nodes from entering the next door, upstairs and downstairs and even next door buildings by mistake during the batch construction of the buildings, thereby improving the construction efficiency.
Three, Zigbee network self-recovery
As shown in fig. 9, the system supports zigbee network self-recovery, and when parameters of a zigbee coordinator in a gateway change or the gateway is damaged and replaced, a new gateway can automatically recover the zigbee network without performing operations such as networking again.
After the gateway creates the zigbee network and normally operates, the gateway collects all zigbee coordinator parameter information under the backup gateway, including IEEE address, short address, PANID, transmission power, transmission channel, extended PANID, global key, global frame technology, network key, network frame count, network key serial number, and the like. The information can be uploaded to a cloud backup during construction, in addition, in order to prevent certain timeliness of partial parameters, the gateway can update the parameter information regularly during normal operation of the system, actively reports the backup to the cloud, and ensures that the cloud backup data is the latest parameter information.
When the gateway coordinator is replaced, the current gateway coordinator runs new parameters and cannot communicate with the existing child nodes, at this time, only the sn address corresponding to the coordinator needs to be replaced in the configuration, the configuration is the configuration in the gateway, a database of the relevant parameters of the coordinator is provided, the backed-up coordinator parameter information is transmitted to the gateway, the gateway covers the current coordinator information, and the old coordinator is cloned, so that the gateway and the child nodes are naturally connected and communicate, a series of operations such as retreating network access configuration and the like are omitted, and the function of automatically restoring the network is achieved.
The coordinator parameters are divided into local and remote, the local records are real-time coordinator information, the remote records are backup configuration parameters, when main information (such as IEEE and PANID) in the two pieces of parameter information is not changed, only when some counts are changed, the replacement is normally not carried out, and only when the main information is changed, the gateway is indicated to be abnormal or replaced, the replacement is carried out at the moment. Similarly, when the gateway is not constructed to replace the sn and other operations after replacement, the sn does not correspond and can not erase the cloud backup, the sn is replaced, the previous information is restored after replacement, regular backup is continued, switching is naturally performed, the sn address is the unique serial number of the gateway, and backup cannot be performed if the cloud replacement is not notified by the construction app.
Example one
As shown in fig. 1, this embodiment provides a master-slave negotiation multi-gateway intelligent Zigbee network system, including: a sensing layer, a transmission layer and a gateway layer;
the sensing layer is formed by distributing intelligent terminal nodes, and the intelligent terminal nodes acquire/release data and forward the data to the gateway layer;
the transmission layer is used for connecting the gateway layer and the Internet of things platform and realizing bidirectional authentication and data encryption transmission between the terminal and the cloud end;
the gateway layer comprises at least one edge gateway, each edge gateway collects data of intelligent terminal nodes managed by the edge gateway in real time, performs data cleaning and operation on a large amount of data, calculates and converts various different data into a uniform data model, uses the calculated data for local circulation storage or direct response on one hand, and uploads the calculated data to the cloud end through a transmission layer according to a specific rule and realizes interaction with the cloud end on the other hand;
the gateway layer adopts an auto-negotiation master-slave mode, namely a core gateway, or a core gateway and at least one slave gateway, wherein the core gateway is a data pipeline between the gateway layer and the Internet of things platform, and establishes a connection with the Internet of things platform to subscribe/publish data between the sensing layer and the Internet of things platform in real time; and after the data of the intelligent terminal nodes managed by the slave gateway is collected in real time by the slave gateway and is subjected to a series of operations, if the slave gateway needs to interact with the platform, the slave gateway communicates through a data pipeline established by the core gateway.
The auto-negotiation master-slave mode adopts a sentinel mode; the edge gateways form a sentinel system, and the state of each edge gateway is monitored through the sentinel system; and if the core gateway is monitored to enter the offline state, upgrading a certain slave gateway to a new master gateway, and monitoring the state of each edge gateway by the sentinel system through a heartbeat mechanism.
The self-negotiation adopts an election algorithm, when a master gateway is offline, a slave gateway is considered to be offline, the slave gateway negotiates with other slave gateways to be selected, the gateway requires other slave gateways to be selected as the master gateway, the gateway is elected as a new master gateway according to the first come first get principle, and the master gateway switching operation is carried out.
When the master gateway normally operates, the master gateway periodically collects all zigbee coordinator parameter information under the backup master gateway and the slave gateway, and uploads the zigbee coordinator parameter information to the cloud;
when an edge gateway needs to be replaced, a sn address corresponding to a configuration coordinator is replaced at the moment, a backup coordination parameter is transmitted to the replaced edge gateway, the coordinator information in the replaced edge gateway is covered at the moment, network recovery is realized, the coordinator parameter is divided into a local one and a remote one, the local one records real-time coordinator information, the remote one is a backup configuration parameter, and when the set information in the two parameter information is not changed, replacement is not performed; when the setting information changes, the gateway is indicated to be abnormal or replaced, and replacement is carried out at the moment;
when the sn address is not constructed and replaced after the main gateway is replaced, the cloud backup cannot be erased because the sn address does not correspond to the sn address, and only after the sn address is replaced, replacement operation is performed.
Configuring the child nodes responsible for each edge gateway, and distributing the child nodes to the nearest edge gateway according to the principle of proximity; and configuring a list of child nodes allowed to be accessed in each edge gateway, and not allowing the child nodes outside the list of the child nodes to join the edge gateway.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.
Claims (8)
1. A master-slave negotiation multi-gateway intelligent Zigbee network system is characterized in that: the method comprises the following steps: a sensing layer, a transmission layer and a gateway layer;
the sensing layer is formed by distributing intelligent terminal nodes, and the intelligent terminal nodes acquire/release data and forward the data to the gateway layer;
the transmission layer is used for connecting the gateway layer and the Internet of things platform and realizing bidirectional authentication and data encryption transmission between the terminal and the cloud end;
the gateway layer comprises at least one edge gateway, each edge gateway collects data of intelligent terminal nodes managed by the edge gateway in real time, performs data cleaning and operation on a large amount of data, calculates and converts various different data into a uniform data model, uses the calculated data for local circulation storage or direct response on one hand, and uploads the calculated data to the cloud end through a transmission layer according to a specific rule and realizes interaction with the cloud end on the other hand;
the gateway layer adopts an auto-negotiation master-slave mode, namely a core gateway, or a core gateway and at least one slave gateway, wherein the core gateway is a data pipeline between the gateway layer and the Internet of things platform, and establishes a connection with the Internet of things platform to subscribe/publish data between the sensing layer and the Internet of things platform in real time; and after the data of the intelligent terminal nodes managed by the slave gateway is collected in real time by the slave gateway and is subjected to a series of operations, if the slave gateway needs to interact with the platform, the slave gateway communicates through a data pipeline established by the core gateway.
2. The master-slave negotiation multi-gateway intelligent Zigbee network system according to claim 1, characterized in that: the auto-negotiation master-slave mode adopts a sentinel mode; the edge gateways form a sentinel system, and the state of each edge gateway is monitored through the sentinel system; and if the core gateway is monitored to enter the offline state, upgrading a certain slave gateway to a new master gateway.
3. The master-slave negotiation multi-gateway intelligent Zigbee network system according to claim 2, characterized in that: the sentinel system monitors the status of each edge gateway through a heartbeat mechanism.
4. The master-slave negotiation multi-gateway intelligent Zigbee network system according to claim 1, characterized in that: the self-negotiation adopts an election algorithm, when a master gateway is offline, a slave gateway is considered to be offline, the slave gateway negotiates with other slave gateways to be selected, the gateway requires other slave gateways to be selected as the master gateway, the gateway is elected as a new master gateway according to the first come first get principle, and the master gateway switching operation is carried out.
5. The master-slave negotiation multi-gateway intelligent Zigbee network system according to claim 1, characterized in that: when the master gateway normally operates, the master gateway collects all zigbee coordinator parameter information under the backup master gateway and the slave gateway and uploads the zigbee coordinator parameter information to the cloud;
when an edge gateway needs to be replaced, the sn address corresponding to the configuration coordinator is replaced at the moment, the backup coordination parameter is transmitted to the edge gateway after replacement, and the coordinator information in the edge gateway after replacement is covered at the moment, so that network recovery is realized.
6. The master-slave negotiation multi-gateway intelligent Zigbee network system according to claim 5, characterized in that: the coordinator parameters are divided into local and remote, the local records are real-time coordinator information, the remote records are parameters of backup configuration, and when the set information in the two parameter information is not changed, the replacement is not carried out; when the setting information changes, the gateway is indicated to be abnormal or replaced, and replacement is carried out at the moment;
when the sn address is not constructed and replaced after the main gateway is replaced, the cloud backup cannot be erased because the sn address does not correspond to the sn address, and only after the sn address is replaced, replacement operation is performed.
7. The master-slave negotiation multi-gateway intelligent Zigbee network system according to claim 5, characterized in that: the step of collecting, by the master gateway, parameter information of all zigbee coordinators under the backup master gateway and the slave gateway is further specifically as follows: the master gateway periodically collects all zigbee coordinator parameter information under the backup master gateway and the slave gateway.
8. The master-slave negotiation multi-gateway intelligent Zigbee network system according to claim 1, characterized in that: configuring the child nodes responsible for each edge gateway, and distributing the child nodes to the nearest edge gateway according to the principle of proximity; and configuring a list of child nodes allowed to be accessed in each edge gateway, and not allowing the child nodes outside the list of the child nodes to join the edge gateway.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114157559A (en) * | 2021-12-15 | 2022-03-08 | 深圳绿米联创科技有限公司 | Network processing method, network processing system, electronic device, and storage medium |
| CN115442221A (en) * | 2022-11-08 | 2022-12-06 | 四川启睿克科技有限公司 | Distributed home equipment service management method and system |
| CN116506919A (en) * | 2023-06-28 | 2023-07-28 | 深圳市华曦达科技股份有限公司 | Communication method and device for home multi-gateway relay |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102685787A (en) * | 2011-03-18 | 2012-09-19 | 中兴通讯股份有限公司 | Method and system for accessing wireless sensor network into telecommunication network |
| WO2013121492A1 (en) * | 2012-02-17 | 2013-08-22 | Panasonic Corporation | Method and mobile terminal for controlling multiple flows over wlan access |
| US20170118067A1 (en) * | 2015-10-23 | 2017-04-27 | Hughes Network Systems, Llc | Gateway redundancy protocol for communications networks |
| US20190090305A1 (en) * | 2017-09-20 | 2019-03-21 | Unisys Corporation | SYSTEM AND METHOD FOR PROVIDING SECURE AND REDUNDANT COMMUNICATIONS AND PROCESSING FOR A COLLECTION OF MULTI-STATE INTERNET OF THINGS (IoT) DEVICES |
| CN109617731A (en) * | 2018-12-21 | 2019-04-12 | 青岛海信智慧家居系统股份有限公司 | Adaptive gateway role configuration method and device under a kind of multi-gateway environment |
| US20190149361A1 (en) * | 2016-07-08 | 2019-05-16 | Intel Corporation | Intelligent gateway configuration for internet-of-things networks |
| KR20190056957A (en) * | 2017-11-17 | 2019-05-27 | 한국전자통신연구원 | COMPUTING SYSTEM AND METHOD FOR INTELLIGENT IoE INFORMATION FRAMEWORK |
| CN110113827A (en) * | 2019-04-14 | 2019-08-09 | 蘑菇物联技术（深圳）有限公司 | Electromechanical equipment joint control method based on wireless telecommunications and edge calculations technology |
| CN110830943A (en) * | 2019-11-06 | 2020-02-21 | 湖南银河电气有限公司 | Equipment state monitoring system based on edge calculation and big data analysis |
| US20200177671A1 (en) * | 2018-12-03 | 2020-06-04 | At&T Intellectual Property I, L.P. | Global internet of things (iot) quality of service (qos) realization through collaborative edge gateways |
| CN111556457A (en) * | 2020-04-27 | 2020-08-18 | 山东省科学院海洋仪器仪表研究所 | Task migration method and system of underwater self-organizing network based on edge gateway |
-
2020
- 2020-12-15 CN CN202011470210.9A patent/CN112788798A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102685787A (en) * | 2011-03-18 | 2012-09-19 | 中兴通讯股份有限公司 | Method and system for accessing wireless sensor network into telecommunication network |
| WO2013121492A1 (en) * | 2012-02-17 | 2013-08-22 | Panasonic Corporation | Method and mobile terminal for controlling multiple flows over wlan access |
| US20170118067A1 (en) * | 2015-10-23 | 2017-04-27 | Hughes Network Systems, Llc | Gateway redundancy protocol for communications networks |
| US20190149361A1 (en) * | 2016-07-08 | 2019-05-16 | Intel Corporation | Intelligent gateway configuration for internet-of-things networks |
| US20190090305A1 (en) * | 2017-09-20 | 2019-03-21 | Unisys Corporation | SYSTEM AND METHOD FOR PROVIDING SECURE AND REDUNDANT COMMUNICATIONS AND PROCESSING FOR A COLLECTION OF MULTI-STATE INTERNET OF THINGS (IoT) DEVICES |
| KR20190056957A (en) * | 2017-11-17 | 2019-05-27 | 한국전자통신연구원 | COMPUTING SYSTEM AND METHOD FOR INTELLIGENT IoE INFORMATION FRAMEWORK |
| US20200177671A1 (en) * | 2018-12-03 | 2020-06-04 | At&T Intellectual Property I, L.P. | Global internet of things (iot) quality of service (qos) realization through collaborative edge gateways |
| CN109617731A (en) * | 2018-12-21 | 2019-04-12 | 青岛海信智慧家居系统股份有限公司 | Adaptive gateway role configuration method and device under a kind of multi-gateway environment |
| CN110113827A (en) * | 2019-04-14 | 2019-08-09 | 蘑菇物联技术（深圳）有限公司 | Electromechanical equipment joint control method based on wireless telecommunications and edge calculations technology |
| CN110830943A (en) * | 2019-11-06 | 2020-02-21 | 湖南银河电气有限公司 | Equipment state monitoring system based on edge calculation and big data analysis |
| CN111556457A (en) * | 2020-04-27 | 2020-08-18 | 山东省科学院海洋仪器仪表研究所 | Task migration method and system of underwater self-organizing network based on edge gateway |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114157559A (en) * | 2021-12-15 | 2022-03-08 | 深圳绿米联创科技有限公司 | Network processing method, network processing system, electronic device, and storage medium |
| CN115442221A (en) * | 2022-11-08 | 2022-12-06 | 四川启睿克科技有限公司 | Distributed home equipment service management method and system |
| CN116506919A (en) * | 2023-06-28 | 2023-07-28 | 深圳市华曦达科技股份有限公司 | Communication method and device for home multi-gateway relay |
| CN116506919B (en) * | 2023-06-28 | 2023-09-01 | 深圳市华曦达科技股份有限公司 | Communication method and device for home multi-gateway relay |
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