CN112714154A - Routing control method and system for intelligent sensor for power grid monitoring - Google Patents
Routing control method and system for intelligent sensor for power grid monitoring Download PDFInfo
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- CN112714154A CN112714154A CN202011447739.9A CN202011447739A CN112714154A CN 112714154 A CN112714154 A CN 112714154A CN 202011447739 A CN202011447739 A CN 202011447739A CN 112714154 A CN112714154 A CN 112714154A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0289—Congestion control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
- H04W40/32—Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
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- 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
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- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
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- Health & Medical Sciences (AREA)
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Abstract
The invention provides a route control method and a system of an intelligent sensor for power grid monitoring, wherein the method comprises the following steps: the intelligent sensor stores a time period in which network congestion occurs in advance and receives the update of the sink node regularly; after the intelligent sensor collects current data, judging whether a route between the intelligent sensor and a sink node is planned by adopting a routing algorithm according to the electric quantity of a battery and whether the current time is in the congestion time period; if the current electric quantity is lower than the threshold value and in the congested time period, the routing algorithm is not adopted for planning, and a random path except the last path or a used path in the last low-electric-quantity period is adopted for data transmission; by the method in the embodiment, when the electric quantity is lower than the threshold value, the intelligent sensor reduces the power consumption in the aspect of route selection, and by the scheme, the power consumption in the aspect of routing or operation can be reduced, and the running time of the sensor is improved only in the aspect of meeting the power requirements of basic data acquisition and data transmission.
Description
Technical Field
The invention relates to a method and a system for controlling the routing of a sensor for monitoring a power grid, in particular to a method and a system for controlling the routing of an intelligent sensor for monitoring the power grid.
Background
Power network monitoring requires a large number of nodes consuming intelligent sensors. As the number and function of nodes increases, the monitoring of the power network becomes more intelligent and complex.
The current intelligent sensor (intelligent sensor) is a sensor having an information processing function. The intelligent sensor is provided with a microprocessor, has the capability of collecting, processing and exchanging information, and is a product of the integration of the sensor and the microprocessor. Compared with a general sensor, the intelligent sensor has the following three advantages: the high-precision information acquisition can be realized through a software technology, and the cost is low; the method has certain programming automation capacity; the functions are diversified, and the functions of communication, on-board diagnosis and the like are realized.
The smart sensor can store the various physical quantities detected and process these data according to instructions, creating new data. The intelligent sensors can exchange information, self-determine data to be transmitted, discard abnormal data, and complete analysis, statistical calculation and the like. Along with the development of computer network technology, communication networks can be arbitrarily established between the intelligent sensors, data of the intelligent sensors and data interacted with other sensors are subjected to data cleaning, the cleaned data are transmitted to the sink nodes, and the data are transmitted to the cloud user side through the sink nodes.
In the prior art, the arrangement positions of the intelligent sensors are unknown in advance, the intelligent sensors are more in number, cables are inconvenient to arrange for power supply, storage batteries are generally adopted for power supply, and a plurality of storage battery plates are usually combined for power supply and are used for supplying power for the intelligent sensors.
In terms of battery consumption, equipment in the power field is generally arranged far, maintenance distance is long, on-road time is long, while intelligent sensor power consumption is mainly in operation of a path, when abnormality occurs, electric energy is still consumed, so that a maintainer is exhausted before arriving, monitoring vacuum occurs, monitoring hidden danger exists, although the operation of the path is transferred to a sink node in the prior art, the load of the sink node is high, and downtime is caused.
Disclosure of Invention
The embodiment of the invention provides a route control method and a route control system for an intelligent sensor for monitoring a power grid, which aim to solve the problems that in the prior art, when abnormality occurs, electric energy is still consumed, so that before a maintainer arrives, the electric energy is exhausted, and monitoring vacuum occurs.
The embodiment of the invention provides a route control method of an intelligent sensor for monitoring a power grid, which comprises the following steps:
the intelligent sensor stores a time period in which network congestion occurs in advance and receives the update of the sink node regularly;
after the intelligent sensor collects current data, judging whether a route between the intelligent sensor and a sink node is planned by adopting a routing algorithm according to the electric quantity of a battery and whether the current time is in the congestion time period;
if the current electric quantity is lower than the threshold value and in the congested time period, the routing algorithm is not adopted for planning, and a random path except the last path or a used path in the last low-electric-quantity period is adopted for data transmission;
and if the current electric quantity is higher than the threshold value, the data transmission is carried out by adopting the path planned by the routing algorithm.
Preferably, the process of periodically receiving the update of the sink node further includes:
and the user remotely updates the time period of network congestion in the intelligent sensors in different areas.
Preferably, the route planning algorithm comprises: a self-adaptive clustering topology LEACH algorithm, a fixed cluster radius HEED algorithm, or a non-uniform clustering routing EEUC algorithm;
and the network to which the intelligent sensor belongs is a clustering network architecture.
Preferably, a random path except the last path or a used path of the last low-power period is adopted for data transmission; further comprising:
setting the number of nodes of the lowest transmission path;
and if the node number of the random path is less than the node number of the used path in the last low power cycle, selecting the current random path for data transmission.
An embodiment of the present invention further provides a routing control system for an intelligent sensor for power grid monitoring, including:
the sink node is used for regularly updating the time period of network congestion to the intelligent sensor;
the intelligent sensor stores a time period in which network congestion occurs in advance, and regularly receives the update of the sink node;
after the intelligent sensor collects current data, judging whether a route between the intelligent sensor and a sink node is planned by adopting a routing algorithm according to the electric quantity of a battery and whether the current time is in the congestion time period;
if the current electric quantity is lower than the threshold value and in the congested time period, the routing algorithm is not adopted for planning, and a random path except the last path or a used path in the last low-electric-quantity period is adopted for data transmission;
and if the current electric quantity is higher than the threshold value, the data transmission is carried out by adopting the path planned by the routing algorithm.
Preferably, the process of periodically receiving the update of the sink node further includes:
and the user remotely updates the time period of network congestion in the intelligent sensors in different areas.
Preferably, the routing planning algorithm employed by the smart sensor includes: a self-adaptive clustering topology LEACH algorithm, a fixed cluster radius HEED algorithm, or a non-uniform clustering routing EEUC algorithm;
and the network to which the intelligent sensor belongs is a clustering network architecture.
Preferably, the intelligent sensor is further configured to set a minimum number of transmission path nodes;
and if the node number of the random path is less than the node number of the used path in the last low power cycle, selecting the current random path for data transmission.
Through the method in the embodiment, when the electric quantity is lower than the threshold value, the intelligent sensor reduces the power consumption in the routing aspect, so that the situation that the power consumption is completely consumed through calculation before a maintenance worker does not arrive at the site when the power consumption is failed or the power cannot be continued is avoided. And monitoring vacuum occurs, and monitoring hidden danger exists.
Through the scheme, the electric energy consumption for routing or operation can be reduced, and the requirements of basically acquiring data and transmitting the data are met, so that the running time of the sensor is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a flow chart of a method of a preferred embodiment of the present invention;
fig. 2 is a block diagram of a system architecture of another preferred embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. 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.
Referring to fig. 1, the present invention provides a routing control method for an intelligent sensor for power grid monitoring, including:
s11: the intelligent sensor stores a time period in which network congestion occurs in advance and receives the update of the sink node regularly;
s12: after the intelligent sensor collects current data, judging whether a route between the intelligent sensor and a sink node is planned by adopting a routing algorithm according to the electric quantity of a battery and whether the current time is in the congestion time period;
s13: if the current electric quantity is lower than the threshold value and in the congested time period, the routing algorithm is not adopted for planning, and a random path except the last path or a used path in the last low-electric-quantity period is adopted for data transmission;
the system may record the path of the last previous low battery cycle, or the system may automatically assign a random path, such as a random path assigned by the sink node.
Therefore, when the electric quantity is low, the electric energy loss of the system is reduced as much as possible, and the effect of prolonging the service life is achieved.
The threshold of the electric quantity can be adjusted according to the condition that the personnel arrive at the site, or the approximate residual electric quantity can be estimated according to the overhaul period, such as every 8 hours or every 12 hours, so that the condition that the personnel do not arrive before the residual electric quantity is used up is avoided. If the power is lower than 30% and the current time is in the congested time period, the previous path is used again.
In addition to excessive collected data, the higher-level node may be down, which may cause the need of routing reselection. Particularly, for a network form that a zigbee scheme is adopted among a plurality of sensors for networking and the topological structure is in a cluster, the method provided by the invention can easily embody technical advantages. For some monitoring scenes of optical fiber transmission, the battery power consumption is high, and the duration of the optical fiber transmission in a low-power mode can be better prolonged.
S14: and if the current electric quantity is higher than the threshold value, the data transmission is carried out by adopting the path planned by the routing algorithm.
Preferably, the process of periodically receiving the update of the sink node further includes:
and the user remotely updates the time period of network congestion in the intelligent sensors in different areas, such as setting the time period to be delayed by 10 minutes at the current moment.
Preferably, the route planning algorithm comprises: a self-adaptive clustering topology LEACH algorithm, a fixed cluster radius HEED algorithm, or a non-uniform clustering routing EEUC algorithm;
and the network to which the intelligent sensor belongs is a clustering network architecture.
Preferably, a random path except the last path or a used path of the last low-power period is adopted for data transmission; further comprising:
setting the number of nodes of the lowest transmission path;
for a clustering network, transmission paths have multiple choices, the number of nodes of each path is different, and the system preferentially selects the transmission path with the least number of path nodes.
And if the node number of the random path is less than the node number of the used path in the last low power cycle, selecting the current random path for data transmission.
Through the method in the embodiment, when the electric quantity is lower than the threshold value, the intelligent sensor reduces the power consumption in the routing aspect, so that the situation that the power consumption is completely consumed through calculation before a maintenance worker does not arrive at the site when the power consumption is failed or the power cannot be continued is avoided. And monitoring vacuum occurs, and monitoring hidden danger exists.
Through the scheme, the electric energy consumption for routing or operation can be reduced, and the requirements of basically acquiring data and transmitting data are met, so that the running time of the sensor is improved.
For the power grid monitoring with more sensors, the number of the sensors is more, and the number of the aggregation nodes is also more. In the aspects of maintenance and overhaul, more workload can be increased, the waiting time for maintenance can be prolonged under the condition of personnel tension, the working time of the sensor can be effectively prolonged by reducing the energy consumption of the sensor for autonomously selecting a path, and the window-empty period is avoided. Only in the time period with lower electric quantity, the load of the path selection is transferred to the convergent node, so that the path selection pressure of the convergent node can be reduced.
Referring to fig. 2, an embodiment of the present invention further provides a routing control system of an intelligent sensor for power grid monitoring, which is used for implementing the method in the foregoing embodiment. The method comprises the following steps:
the sink node is used for regularly updating the time period of network congestion to the intelligent sensor;
the intelligent sensor stores a time period in which network congestion occurs in advance, and regularly receives the update of the sink node;
after the intelligent sensor collects current data, judging whether a route between the intelligent sensor and a sink node is planned by adopting a routing algorithm according to the electric quantity of a battery and whether the current time is in the congestion time period;
if the current electric quantity is lower than the threshold value and in the congested time period, the routing algorithm is not adopted for planning, and a random path except the last path or a used path in the last low-electric-quantity period is adopted for data transmission;
and if the current electric quantity is higher than the threshold value, the data transmission is carried out by adopting the path planned by the routing algorithm.
Preferably, the process of periodically receiving the update of the sink node further includes:
and the user remotely updates the time period of network congestion in the intelligent sensors in different areas.
Preferably, the routing planning algorithm employed by the smart sensor includes: a self-adaptive clustering topology LEACH algorithm, a fixed cluster radius HEED algorithm, or a non-uniform clustering routing EEUC algorithm;
and the network to which the intelligent sensor belongs is a clustering network architecture.
Preferably, the intelligent sensor is further configured to set a minimum number of transmission path nodes;
and if the node number of the random path is less than the node number of the used path in the last low power cycle, selecting the current random path for data transmission.
The system of the invention can run the method flow in the embodiment, thereby improving the stability of the sensor and the sink node.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A routing control method of an intelligent sensor for power grid monitoring is characterized by comprising the following steps:
the intelligent sensor stores a time period in which network congestion occurs in advance and receives the update of the sink node regularly;
after the intelligent sensor collects current data, judging whether a route between the intelligent sensor and a sink node is planned by adopting a routing algorithm according to the electric quantity of a battery and whether the current time is in the congestion time period;
if the current electric quantity is lower than the threshold value and in the congested time period, the routing algorithm is not adopted for planning, and a random path except the last path or a used path in the last low-electric-quantity period is adopted for data transmission;
and if the current electric quantity is higher than the threshold value, the data transmission is carried out by adopting the path planned by the routing algorithm.
2. The routing control method according to claim 1, wherein the process of periodically receiving the update of the aggregation node further comprises:
and the user remotely updates the time period of network congestion in the intelligent sensors in different areas.
3. The route control method according to claim 1, wherein the route planning algorithm comprises: a self-adaptive clustering topology LEACH algorithm, a fixed cluster radius HEED algorithm, or a non-uniform clustering routing EEUC algorithm;
and the network to which the intelligent sensor belongs is a clustering network architecture.
4. The route control method according to claim 1, wherein a random path other than the last path or a used path of the last low power cycle is used for data transmission; further comprising:
setting the number of nodes of the lowest transmission path;
and if the node number of the random path is less than the node number of the used path in the last low power cycle, selecting the current random path for data transmission.
5. A routing control system for smart sensors for power grid monitoring, comprising:
the sink node is used for regularly updating the time period of network congestion to the intelligent sensor;
the intelligent sensor stores a time period in which network congestion occurs in advance, and regularly receives the update of the sink node;
after the intelligent sensor collects current data, judging whether a route between the intelligent sensor and a sink node is planned by adopting a routing algorithm according to the electric quantity of a battery and whether the current time is in the congestion time period;
if the current electric quantity is lower than the threshold value and in the congested time period, the routing algorithm is not adopted for planning, and a random path except the last path or a used path in the last low-electric-quantity period is adopted for data transmission;
and if the current electric quantity is higher than the threshold value, the data transmission is carried out by adopting the path planned by the routing algorithm.
6. The routing control system of claim 5, wherein the process of periodically receiving an update for an aggregation node further comprises:
and the user remotely updates the time period of network congestion in the intelligent sensors in different areas.
7. The routing control system of claim 5, wherein the routing algorithm employed by the smart sensor comprises: a self-adaptive clustering topology LEACH algorithm, a fixed cluster radius HEED algorithm, or a non-uniform clustering routing EEUC algorithm;
and the network to which the intelligent sensor belongs is a clustering network architecture.
8. The routing control system of claim 5, wherein the smart sensor is further configured to set a minimum number of transmission path nodes;
and if the node number of the random path is less than the node number of the used path in the last low power cycle, selecting the current random path for data transmission.
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