CN112769579A - Hierarchical self-adaptive synchronous dormancy method for hardware nodes in field of power Internet of things - Google Patents
Hierarchical self-adaptive synchronous dormancy method for hardware nodes in field of power Internet of things Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
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- H—ELECTRICITY
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- H04J3/06—Synchronising arrangements
- H04J3/0635—Clock or time synchronisation in a network
- H04J3/0682—Clock or time synchronisation in a network by delay compensation, e.g. by compensation of propagation delay or variations thereof, by ranging
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- 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
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Abstract
The invention discloses a hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power Internet of things, which comprises the following steps of S1: acquiring real-time information and data of all hardware nodes, judging the working weight of the hardware nodes according to the real-time information and data of the hardware nodes, and then performing hierarchical dormancy on the hardware nodes according to the working weight; s2: in the sleeping process, monitoring the sleeping state of the node sensor in real time by adopting a dynamic signal tracking mode; the invention can carry out the graded self-adaptive synchronous dormancy on the nodes according to the weight of the nodes, thereby fully ensuring the graded self-adaptive dormancy, the synchronous awakening and the cooperative work operation of the nodes, simultaneously effectively reducing the energy consumption of the nodes, facilitating the maintenance and the management of workers, and solving the problems of power waste and inconvenience for the maintenance and the management of power transmission equipment caused by the defects of large power consumption and difficult maintenance of hardware nodes in the conventional overhead power transmission line networking.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a hardware node grading self-adaptive synchronous dormancy method in the field of power Internet of things.
Background
With the rapid development of the smart grid industry in China and the wide popularization of overhead transmission lines in different condition areas of ubiquitous power internet of things equipment, the maintenance and safety of a sensing network of a power transmission station face more and more serious challenges. The overhead transmission line is a completely open system, is exposed in the field for a long time and has multiple points. Due to the influence of environment, technology, mechanism and the like, the overhead transmission line has the defects of inflexible networking mode, large maintenance workload, insufficient equipment intellectualization and the like. Therefore, it is highly desirable to change the power generation management mode, and replace the original nodes that are difficult to maintain and have high power consumption with the ultra-low power consumption sleep nodes, so as to implement the long-term maintenance-free and easy management of the power transmission station system and equipment.
Access stratum dormancy techniques. The MAC (multiple access control) protocols widely studied at present and applicable to sensor networks can be divided into two categories; a collision-based MAC protocol and a collision-free time division multiple access TDMA-based MAC protocol. The former typically represents IEEE802.11, S-MAC, and T-MAC, and the latter typically represents D-MAC, and DEANA. And the MAC protocols based on collision all adopt carrier sense multiple access CSMA/CA protocols with collision avoidance functions.
Disclosure of Invention
The invention aims to provide a hardware node grading self-adaptive synchronous dormancy method in the field of power Internet of things, which can carry out grading self-adaptive synchronous dormancy on nodes according to the weight of the nodes, thereby fully ensuring the grading self-adaptive dormancy, synchronous awakening and cooperative work operation of the nodes and simultaneously effectively reducing the energy consumption of the nodes.
In order to achieve the purpose, the invention provides the following technical scheme: a hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power Internet of things comprises the following steps:
s1: acquiring real-time information and data of all hardware nodes, judging the working weight of the hardware nodes according to the real-time information and data of the hardware nodes, and then performing hierarchical dormancy on the hardware nodes according to the working weight;
s2: in the sleeping process, monitoring the sleeping state of the node sensor in real time by adopting a dynamic signal tracking mode, and transmitting a dynamic signal to a main node;
s3: after receiving the dynamic signal, the master node uses various clock sources to provide synchronous reference for the nodes according to the state of the hardware nodes;
s4: and when the hardware node has a time delay error, correcting the clock signal of the node by adopting a time delay compensation algorithm.
Preferably, in the step (S1), the acquired information and data include the hop count of the master-slave node, the network topology, and the importance of the transmission data.
Preferably, in the step (S1), the node having the higher importance of the transmission data has the higher weight.
Preferably, in the step (S1), the acquired information and data further include specific devices and operating properties of the hardware nodes.
Preferably, in the step (S2), the sensor node of each stage transmits a small amount of dynamic signals.
Preferably, in the step (S3), when the node is in the sleep state, an internal oscillation circuit is used to provide a clock source.
Preferably, in the step (S3), in the node operating state, the clock is provided by using an external crystal oscillator or other external clock.
Preferably, in the step (S3), in the node networking state, the node broadcasts by means of internal flooding, and at the same time, uses an internal clock circuit as a rectification supplement.
Preferably, in the step (S4), the slave node after the delay compensation feeds back its own information to the master node, and the master node confirms the information.
Preferably, in the step (S4), the slave node feeds back its own information to the master node in a step-by-step transmission manner.
Compared with the prior art, the invention has the following beneficial effects:
the invention can carry out the graded self-adaptive synchronous dormancy on the nodes according to the weight of the nodes, thereby fully ensuring the graded self-adaptive dormancy, the synchronous awakening and the cooperative work operation of the nodes, simultaneously effectively reducing the energy consumption of the nodes, facilitating the maintenance and the management of workers, and solving the problems of power waste and inconvenience for the maintenance and the management of power transmission equipment caused by the defects of large power consumption and difficult maintenance of hardware nodes in the conventional overhead power transmission line networking.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power Internet of things comprises the following steps:
s1: acquiring real-time information and data of all hardware nodes, judging the working weight of the hardware nodes according to the real-time information and data of the hardware nodes, and then performing hierarchical dormancy on the hardware nodes according to the working weight;
s2: in the sleeping process, monitoring the sleeping state of the node sensor in real time by adopting a dynamic signal tracking mode, and transmitting a dynamic signal to a main node;
s3: after receiving the dynamic signal, the master node uses various clock sources to provide synchronous reference for the nodes according to the state of the hardware nodes;
s4: and when the hardware node has a time delay error, correcting the clock signal of the node by adopting a time delay compensation algorithm.
The first embodiment is as follows:
a hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power Internet of things comprises the following steps:
s1: acquiring real-time information and data of all hardware nodes, judging the working weight of the hardware nodes according to the real-time information and data of the hardware nodes, and then performing hierarchical dormancy on the hardware nodes according to the working weight, wherein the acquired information and data comprise hop numbers of master and slave nodes, a network topology structure and the importance degree of transmission data, and the weights of the nodes are judged by acquiring various information and data of the hardware nodes;
s2: in the sleeping process, the sleeping state of the node sensor is monitored in real time by adopting a dynamic signal tracking mode, and dynamic signals are transmitted to the main node, wherein each level of sensor node sends a small amount of dynamic signals, so that the node energy consumption can be efficiently reduced, and meanwhile, the node can be more flexibly realized to sleep and awaken by adopting the dynamic signal mode;
s3: after receiving the dynamic signal, the master node uses various clock sources to provide synchronous reference for the node according to the state of the hardware node, wherein when the node is in a dormant state, an internal oscillation circuit is used for providing a clock source;
s4: when a hardware node has a delay error, a delay compensation algorithm is adopted to correct a clock signal of the node, wherein the slave node after delay compensation feeds back the self information to the master node and is confirmed by the master node, so that the master node can confirm the clock and the working state of the slave node, and the clock is ensured not to have an error.
Example two:
a hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power Internet of things comprises the following steps:
s1: acquiring real-time information and data of all hardware nodes, judging working weight of the hardware nodes according to the real-time information and the data of the hardware nodes, and then performing hierarchical dormancy on the hardware nodes according to the working weight, wherein the acquired information and data comprise hop numbers of master and slave nodes, a network topology structure and importance degree of transmission data;
s2: in the sleeping process, the sleeping state of the node sensor is monitored in real time by adopting a dynamic signal tracking mode, and dynamic signals are transmitted to the main node, wherein each level of sensor node sends a small amount of dynamic signals, so that the node energy consumption can be efficiently reduced, and meanwhile, the node sleeping and awakening are more flexibly realized by adopting the dynamic signal mode;
s3: after receiving the dynamic signal, the master node uses various clock sources to provide synchronous reference for the node according to the state of the hardware node, wherein when the node is in a dormant state, an internal oscillation circuit is used for providing a clock source, and simultaneously when the node is in a working state, an external crystal oscillator or an external clock in other forms is used for providing a clock;
s4: when a hardware node has a delay error, a delay compensation algorithm is adopted to correct a clock signal of the node, wherein the slave node after delay compensation feeds back self information to the master node and is confirmed by the master node, so that the master node can confirm the clock and the working state of the slave node, the clock is ensured not to have an error, and meanwhile, the slave node feeds back the self information to the master node in a step-by-step sending mode so as to reduce energy consumption.
Example three:
a hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power Internet of things comprises the following steps:
s1: acquiring real-time information and data of all hardware nodes, judging working weight of the hardware nodes according to the real-time information and data of the hardware nodes, and then performing hierarchical dormancy on the hardware nodes according to the working weight, wherein the acquired information and data comprise hop numbers of master and slave nodes, network topology and importance degree of transmission data, the weight of the nodes is judged through various information and data of the hardware nodes, the higher the importance degree of the transmission data of the nodes is, the higher the weight of the nodes is, the importance of the transmission data of the nodes is, so that the weight of the nodes is judged, and the acquired information and data also comprise specific equipment and working properties of the hardware nodes and are used for acquiring important information of node equipment so as to judge the weight of the nodes;
s2: in the sleeping process, the sleeping state of the node sensor is monitored in real time by adopting a dynamic signal tracking mode, and dynamic signals are transmitted to the main node, wherein each level of sensor node sends a small amount of dynamic signals, so that the node energy consumption can be efficiently reduced, and meanwhile, the node sleeping and awakening are more flexibly realized by adopting the dynamic signal mode;
s3: after receiving the dynamic signal, the master node uses various clock sources to provide synchronous reference for the node according to the state of the hardware node, wherein when the node is in a dormant state, an internal oscillation circuit is used for providing a clock source, and simultaneously, in a node working state, an external crystal oscillator or other external clocks are used for providing clocks;
s4: when a hardware node has a delay error, a delay compensation algorithm is adopted to correct a clock signal of the node, wherein the slave node after delay compensation feeds back self information to the master node and is confirmed by the master node, so that the master node can confirm the clock and the working state of the slave node, the clock is ensured not to have an error, and meanwhile, the slave node feeds back the self information to the master node in a step-by-step sending mode so as to reduce energy consumption.
The invention can carry out the graded self-adaptive synchronous dormancy on the nodes according to the weight of the nodes, thereby fully ensuring the graded self-adaptive dormancy, the synchronous awakening and the cooperative work operation of the nodes, simultaneously effectively reducing the energy consumption of the nodes, facilitating the maintenance and the management of workers, and solving the problems of power waste and inconvenience for the maintenance and the management of power transmission equipment caused by the defects of large power consumption and difficult maintenance of hardware nodes in the conventional overhead power transmission line networking.
A network node refers to a computer or other device connected to a network having an independent address and having the function of transmitting or receiving data. The nodes may be workstations, clients, network users or personal computers, servers, printers and other network-connected devices. Each workstation, server, terminal device, network device, i.e. the device having its own unique network address, is a network node. The whole network is composed of a plurality of network nodes, a plurality of network nodes are connected by communication lines to form a certain geometrical relationship, namely a computer network topology, and the dynamic signals refer to fast-changing signals of axial vibration, watt vibration and the like. A fast-varying signal is a signal that appears to be abrupt or strongly varying in the time domain (or spatial domain), corresponding to high-frequency information in the frequency domain.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power Internet of things is characterized by comprising the following steps: the method comprises the following steps:
s1: acquiring real-time information and data of all hardware nodes, judging the working weight of the hardware nodes according to the real-time information and data of the hardware nodes, and then performing hierarchical dormancy on the hardware nodes according to the working weight;
s2: in the sleeping process, monitoring the sleeping state of the node sensor in real time by adopting a dynamic signal tracking mode, and transmitting a dynamic signal to a main node;
s3: after receiving the dynamic signal, the master node uses various clock sources to provide synchronous reference for the nodes according to the state of the hardware nodes;
s4: and when the hardware node has a time delay error, correcting the clock signal of the node by adopting a time delay compensation algorithm.
2. The hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power internet of things according to claim 1, characterized in that: in the step (S1), the obtained information and data include the hop count of the master and slave nodes, the network topology, and the importance of the transmission data.
3. The hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power internet of things according to claim 2, characterized in that: in the step (S1), the higher the importance of the transmission data, the higher the weight of the node.
4. The hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power internet of things according to claim 1, characterized in that: in the step (S1), the obtained information and data further include specific devices and operating properties of the hardware nodes.
5. The hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power internet of things according to claim 1, characterized in that: in the step (S2), the sensor nodes of each stage transmit a small amount of dynamic signals.
6. The hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power internet of things according to claim 1, characterized in that: in the step (S3), when the node is in the sleep state, an internal oscillation circuit is used to provide a clock source.
7. The hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power internet of things according to claim 1, characterized in that: in the step (S3), in the node operating state, an external crystal oscillator or other external clock is used to provide the clock.
8. The hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power internet of things according to claim 1, characterized in that: in the step (S3), in the node networking state, the node broadcasts by internal flooding, and uses an internal clock circuit as a rectification supplement.
9. The hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power internet of things according to claim 1, characterized in that: in the step (S4), the slave node after the delay compensation feeds back its own information to the master node, and the master node confirms it.
10. The hierarchical self-adaptive synchronous dormancy method for hardware nodes in the field of power internet of things according to claim 9, characterized in that: in the step (S4), the slave node feeds back its own information to the master node in a step-by-step transmission manner.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114530239A (en) * | 2022-01-07 | 2022-05-24 | 北京交通大学 | Energy-saving mobile health medical monitoring system based on software and hardware cooperation |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103108385A (en) * | 2011-11-09 | 2013-05-15 | 上海无线通信研究中心 | Method and system for controlling network nodes in network area |
| CN103327586A (en) * | 2013-05-29 | 2013-09-25 | 东南大学 | Synchronous method for wireless sensor network node dormancy low power consumption protocol |
| CN103997421A (en) * | 2014-04-22 | 2014-08-20 | 北京邮电大学 | Power consumption management method and graded power consumption network |
| CN105636183A (en) * | 2016-02-23 | 2016-06-01 | 重庆邮电大学 | Energy-saving dormancy awakening method based on ZigBee technology |
| CN105792338A (en) * | 2016-03-02 | 2016-07-20 | 重庆邮电大学 | Low-energy-consumption network design method based on node dependency and ONU modular dormancy |
-
2020
- 2020-12-31 CN CN202011613306.6A patent/CN112769579A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103108385A (en) * | 2011-11-09 | 2013-05-15 | 上海无线通信研究中心 | Method and system for controlling network nodes in network area |
| CN103327586A (en) * | 2013-05-29 | 2013-09-25 | 东南大学 | Synchronous method for wireless sensor network node dormancy low power consumption protocol |
| CN103997421A (en) * | 2014-04-22 | 2014-08-20 | 北京邮电大学 | Power consumption management method and graded power consumption network |
| CN105636183A (en) * | 2016-02-23 | 2016-06-01 | 重庆邮电大学 | Energy-saving dormancy awakening method based on ZigBee technology |
| CN105792338A (en) * | 2016-03-02 | 2016-07-20 | 重庆邮电大学 | Low-energy-consumption network design method based on node dependency and ONU modular dormancy |
Non-Patent Citations (1)
| Title |
|---|
| 程威: "ZigBee系统节能方法的研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114530239A (en) * | 2022-01-07 | 2022-05-24 | 北京交通大学 | Energy-saving mobile health medical monitoring system based on software and hardware cooperation |
| CN114530239B (en) * | 2022-01-07 | 2022-11-08 | 北京交通大学 | Energy-saving mobile health medical monitoring system based on software and hardware cooperation |
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Inventor after: Zheng Min Inventor before: Wen Xiaoya Inventor before: Zhang Minghe Inventor before: Xu Xiaolei Inventor before: Chao chao Inventor before: Zheng Min Inventor before: Yang Xiaokun Inventor before: Du Dacai Inventor before: Tang Peiyao Inventor before: Bao Yang Inventor before: Zhang Taolei Inventor before: Chen Pan Inventor before: Tan Chong Inventor before: Lu Hedan Inventor before: Liu Hong Inventor before: Bian Jichen Inventor before: Zhang Yuyang Inventor before: Hu Qunchao |
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Application publication date: 20210507 |