CN111899474A - Slope monitoring system based on big data - Google Patents

Slope monitoring system based on big data Download PDF

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Publication number
CN111899474A
CN111899474A CN202010680015.2A CN202010680015A CN111899474A CN 111899474 A CN111899474 A CN 111899474A CN 202010680015 A CN202010680015 A CN 202010680015A CN 111899474 A CN111899474 A CN 111899474A
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cluster
slope
sensor
cluster head
base station
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李丽琳
江俊翔
冯坚
何清
黎力韬
彭曦
覃润浦
刘家耀
陈乐�
熊师远
姜容
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Guangxi Jiaoke Group Co Ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks

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Abstract

The invention discloses a slope monitoring system based on big data, which comprises: the system comprises a data acquisition end, a base station and a remote monitoring platform; the data acquisition end is used for acquiring the slope information in the monitoring area; the base station receives the slope information collected by the data collection end and forwards the slope information to the remote monitoring platform; the remote monitoring platform processes and analyzes the received slope information, judges the slope danger level in the monitoring area based on a pre-established slope danger analysis model, and sends alarm information if the judgment result shows that the slope danger level exceeds a preset slope danger safety level threshold. The invention realizes the real-time monitoring of the side slope dangerous case, and can alarm through the remote monitoring platform when the side slope dangerous case grade exceeds the preset side slope dangerous case safety grade threshold value so as to remind personnel in related areas to make protective measures in advance, thereby reducing the personal and property losses caused by geological disasters.

Description

Slope monitoring system based on big data
Technical Field
The invention relates to the technical field of slope monitoring, in particular to a slope monitoring system based on big data.
Background
At present, the technical means for monitoring the side slope in China is still relatively laggard, and the most common monitoring means is mainly manual monitoring. That is, the monitor regularly collects data and observes the safety condition of the side slope. In recent years, due to the progress of electronic technology in China, the slope unmanned monitoring technology starts to rise. The existing slope unmanned monitoring technology adopts a wired data transmission mode to complete data transmission work due to the reasons of specific implementation technology, stability requirements and the like, and the wired transmission mode of the slope has obvious defects, such as high manufacturing cost, wiring requirement and the like.
Disclosure of Invention
Aiming at the problems, the invention provides a slope monitoring system based on big data.
The purpose of the invention is realized by adopting the following technical scheme:
a big data based slope monitoring system, the slope monitoring system comprising: the system comprises a data acquisition terminal, a base station and a remote monitoring platform based on a wireless sensor network; the data acquisition end is in communication connection with the base station, and the base station is in communication connection with the remote monitoring platform; the data acquisition end is used for acquiring slope information in a monitoring area, wherein the slope information comprises: displacement, pressure, strain, stress and rainfall data; the base station receives the slope information collected by the data collection end and forwards the slope information to the remote monitoring platform; the remote monitoring platform processes and analyzes the received slope information, judges the slope danger level in the monitoring area based on a pre-established slope danger analysis model, and sends alarm information if the judgment result shows that the slope danger level exceeds a preset slope danger safety level threshold.
In an optional embodiment, the data acquisition end comprises: a plurality of sensor nodes and a plurality of cluster heads deployed within the monitoring area; the sensor nodes are added into the corresponding cluster heads according to a preset cluster adding rule to become cluster member nodes of the corresponding cluster heads; and the cluster head gathers the slope information collected by the cluster member nodes in the cluster and the slope information collected by the cluster member nodes, and the slope information is compressed and then forwarded to the base station.
In an alternative embodiment, the sensor node comprises: one or more of a displacement sensor, a pressure sensor, a stress sensor, a strain sensor and a rainfall sensor;
the cluster head includes: one or more of a displacement sensor, a pressure sensor, a stress sensor, a strain sensor and a rainfall sensor.
In an alternative embodiment, the remote monitoring platform comprises: the system comprises a cloud storage module, a slope dangerous case analysis module and a slope dangerous case early warning module;
the cloud storage module is used for receiving and storing the slope information sent by the base station;
the side slope dangerous case analysis module is used for calling side slope information from the cloud storage module, processing and analyzing the called side slope information, judging the side slope dangerous case grade in the monitoring area based on a pre-established side slope dangerous case analysis model, and if the judgment result shows that the side slope dangerous case grade exceeds a preset side slope dangerous case safety grade threshold value, sending a driving instruction to the side slope dangerous case early warning module to drive the side slope dangerous case early warning module to send out early warning information.
In an optional embodiment, the slope monitoring system further comprises: and the mobile equipment terminal is in communication connection with the remote monitoring platform and is used for receiving early warning information sent by the remote monitoring platform.
In an optional implementation manner, the plurality of sensor nodes are added to the corresponding cluster heads according to a preset cluster adding rule, specifically:
after the deployment of the sensor nodes and the cluster heads is completed, the cluster heads send out a cluster adding message at the same time; after a preset time period;
each sensor node selects a proper cluster head to join according to the cluster adding message received in a preset time period to form a cluster member node of the corresponding cluster head, and specifically, if the sensor node only receives the cluster adding message of one cluster head in a preset time interval, the sensor node directly joins in the cluster head to form the cluster member node of the cluster head;
if the sensor node receives a clustering adding message from a plurality of cluster heads within a preset time interval, the sensor node calculates the degree of closeness between the sensor node and the cluster heads by using the following formula, and selects the cluster head with the maximum degree of closeness from the calculated degree of closeness to become a cluster member node of the cluster head, wherein the degree of closeness between the sensor node and the cluster heads is calculated by using the following formula:
Figure BDA0002585484930000021
wherein Deg (S)i,CHk) As sensor node SiAnd cluster head CHkThe degree of closeness value therebetween; n is a radical ofmax(CHk) Is a cluster head CHkCan accommodateA maximum cluster membership; n is a radical of0(CHk) To have added to cluster head CHkThe number of cluster members in (a); d (S)i,CHk) As sensor node SiAnd cluster head CHkThe spatial distance therebetween; rmax(CHk) Is a cluster head CHkMaximum communication radius of (d), t (S)i,CHk) As sensor node SiReceiving a CH from a cluster headkTime interval of clustered messages, tGeneral assemblyAs sensor node SiThe sum of the time intervals at which the clustering messages from the cluster heads are received, i.e.
Figure BDA0002585484930000022
V is: in a preset time interval, the sensor node SiReceiving the cluster head number of the cluster adding information; e1(CHk) Comprises the following steps: if sensor node SiSingle data channel cluster head CHkForwarding to the energy value required to be consumed by the base station; e1(CHv) Comprises the following steps: if sensor node SiSingle data channel cluster head CHvForwarding to the energy value required to be consumed by the base station; alpha is a preset weight coefficient, and the size of the preset weight coefficient satisfies that: 0<α<1。
The invention has the beneficial effects that: the wireless sensor network is used for remote transmission of slope information, so that the cost is low, wiring is not needed, and convenience and rapidness are realized; meanwhile, the real-time monitoring on the side slope dangerous case is realized, and when the side slope dangerous case grade exceeds a preset side slope dangerous case safety grade threshold value, the remote monitoring platform can be used for alarming to remind related regional personnel of making protective measures in advance, so that personal and property losses caused by geological disasters are reduced.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a frame structure diagram of a slope monitoring system based on big data according to an embodiment of the present invention;
fig. 2 is a frame structure diagram of a remote monitoring platform according to an embodiment of the present invention.
Reference numerals: the system comprises a data acquisition end 1, a base station 2, a remote monitoring platform 3, a mobile device terminal 4, a cloud storage module 31, a slope dangerous case analysis module 32 and a slope dangerous case early warning module 33.
Detailed Description
The invention is further described with reference to the following examples.
As shown in fig. 1, a slope monitoring system based on big data includes: the system comprises a data acquisition terminal 1, a base station 2 and a remote monitoring platform 3 based on a wireless sensor network; the data acquisition end 1 is in communication connection with the base station 2, and the base station 2 is in communication connection with the remote monitoring platform 3; the data acquisition terminal 1 is used for acquiring slope information in a monitoring area, wherein the slope information comprises: displacement, pressure, strain, stress and rainfall data; the base station 2 receives the slope information acquired by the data acquisition terminal 1 and forwards the slope information to the remote monitoring platform 3; the remote monitoring platform 3 processes and analyzes the received slope information, judges the slope danger level in the monitoring area based on a pre-established slope danger analysis model, and sends alarm information if the judgment result shows that the slope danger level exceeds a preset slope danger safety level threshold.
This side slope monitoring system still includes: and the mobile equipment terminal 4 is in communication connection with the remote monitoring platform 3 and is used for receiving early warning information sent by the remote monitoring platform 3. Preferably, the mobile device terminal 4 may be: cell-phone, ipad, panel computer, notebook etc..
The beneficial effects of the above embodiment of the invention are: the wireless sensor network is used for remote transmission of slope information, so that the cost is low, wiring is not needed, and convenience and rapidness are realized; meanwhile, the real-time monitoring on the side slope dangerous case is realized, and when the side slope dangerous case grade exceeds a preset side slope dangerous case safety grade threshold value, the remote monitoring platform can be used for alarming to remind related regional personnel of making protective measures in advance, so that personal and property losses caused by geological disasters are reduced.
Preferably, the data acquisition terminal 1 includes: a plurality of sensor nodes and a plurality of cluster heads deployed within the monitoring area; the sensor nodes are added into the corresponding cluster heads according to a preset cluster adding rule to become cluster member nodes of the corresponding cluster heads; the cluster head gathers the slope information collected by the cluster member nodes in the cluster and the slope information collected by the cluster head, and the slope information is compressed and then forwarded to the base station 2.
Preferably, the sensor node comprises: one or more of a displacement sensor, a pressure sensor, a stress sensor, a strain sensor and a rainfall sensor;
the cluster head includes: one or more of a displacement sensor, a pressure sensor, a stress sensor, a strain sensor and a rainfall sensor.
Preferably, with reference to fig. 2, said remote monitoring platform 3 comprises: the system comprises a cloud storage module 31, a slope dangerous case analysis module 32 and a slope dangerous case early warning module 33;
the cloud storage module 31 is configured to receive and store the slope information sent by the base station;
the side slope dangerous case analysis module 32 is configured to retrieve side slope information from the cloud storage module 31, process and analyze the retrieved side slope information, determine a side slope dangerous case level in the monitoring area based on a pre-established side slope dangerous case analysis model, and send a driving instruction to the side slope dangerous case early warning module 33 to drive the side slope dangerous case early warning module 33 to send out early warning information if the determination result shows that the side slope dangerous case level exceeds a preset side slope dangerous case safety level threshold.
Preferably, the plurality of sensor nodes are added to the corresponding cluster heads according to a preset cluster adding rule, specifically:
after the deployment of the sensor nodes and the cluster heads is completed, the cluster heads send out a cluster adding message at the same time; after a preset time period;
each sensor node selects a proper cluster head to join according to the cluster adding message received in a preset time period to form a cluster member node of the corresponding cluster head, and specifically, if the sensor node only receives the cluster adding message of one cluster head in a preset time interval, the sensor node directly joins in the cluster head to form the cluster member node of the cluster head;
if the sensor node receives a clustering adding message from a plurality of cluster heads within a preset time interval, the sensor node calculates the degree of closeness between the sensor node and the cluster heads by using the following formula, and selects the cluster head with the maximum degree of closeness from the calculated degree of closeness to become a cluster member node of the cluster head, wherein the degree of closeness between the sensor node and the cluster heads is calculated by using the following formula:
Figure BDA0002585484930000041
wherein Deg (S)i,CHk) As sensor node SiAnd cluster head CHkThe degree of closeness value therebetween; n is a radical ofmax(CHk) Is a cluster head CHkThe maximum cluster membership that can be accommodated; n is a radical of0(CHk) To have added to cluster head CHkIn which the cluster head CH has been addedkThe cluster members in (1) mainly include two types, one type is: the sensor node only receives the CH from the cluster head in a preset time periodkThe cluster adding information is that the sensor node can only add into the cluster head CHkIn, become cluster head CHkA cluster member node of (a); one is: the sensor node receives more than the cluster head CH within a preset time periodkBut at the sensor node SiIn selecting whether to join cluster head CHkIn time, other sensor nodes are added into the cluster head CHkIn, become cluster head CHkA cluster member node of (a); d (S)i,CHk) As sensor node SiAnd cluster head CHkThe spatial distance therebetween; rmax(CHk) Is a cluster head CHkMaximum communication radius of (d), t (S)i,CHk) As sensor node SiReceiving a CH from a cluster headkTime interval of clustered messages, tGeneral assemblyAs sensor node SiThe sum of the time intervals at which the clustering messages from the cluster heads are received, i.e.
Figure BDA0002585484930000042
V is: in a preset time interval, the sensor node SiReceiving the cluster head number of the cluster adding information; e1(CHk) Comprises the following steps: if sensor node SiSingle data channel cluster head CHkForwarding to the energy value required to be consumed by the base station; e1(CHv) Comprises the following steps: if sensor node SiSingle data channel cluster head CHvForwarding to the energy value required to be consumed by the base station; alpha is a preset weight coefficient, and the size of the preset weight coefficient satisfies that: 0<α<1。
Has the advantages that: the above embodiment of the present invention provides how a sensor node selects a suitable cluster head to join, and specifically includes: sending a clustering adding message by each cluster head at the same time, and after a preset time period, selecting a proper cluster head to add by the sensor node according to the received clustering adding message, wherein the two conditions are mainly involved, one is that the sensor node only receives the clustering adding message of one cluster head in the preset time period, and at the moment, the sensor node only can be added into the cluster head; in another case, a sensor node receives a clustering message sent by more than two (including two) cluster heads within a preset time period, at this time, the selection right is in the sensor node, it can select any one of them to join to become a corresponding cluster member node, but different cluster heads are selected to join, and the structure of the wireless sensor network formed by the sensor node is different, thereby having an influence on energy loss and transmission efficiency. When determining the closeness value between the sensor node and the cluster head, the influence of the maximum cluster member number which can be contained by the cluster head and the cluster member number added into the cluster head is considered, and the influence of the distance, the time, the energy and the like is also considered, so that the sensor node can conveniently select a cluster head which is relatively close to the sensor node, relatively small in energy consumption and relatively short in transmission time to be added to form the cluster member node of the corresponding cluster head, and the purpose of balancing the energy of the whole wireless sensor network is achieved.
In an optional implementation manner, after completing clustering, the base station 2 broadcasts a hello message to each cluster head, and after receiving the hello message, each cluster head calculates an advantage value that can directly communicate with the base station 2:
Figure BDA0002585484930000051
in the formula, Ex (CH)a) Is a cluster head CHaDominance value, t, for direct communication with base station 2thSetting cluster head CH for a preset time threshold value at which cluster head can directly communicate with base stationaThe length range of the data packet which can be forwarded is Lmin,Lmax]Setting cluster head CHaThe adjustable communication distance range is [ Ymin,Ymax]，t1Is a cluster head CHaThe forwarding length is LminThe time required for the data packet to reach the base station, d (CH)aBS) is cluster head CHaThe spatial distance from the base station 2,
Figure BDA0002585484930000052
represents: is located at cluster head CHaMinimum communication distance YminWithin the range, and located at a communication distance d (CH) with the base station 2 as the centeraBS) set of cluster heads in range, d (CH)a,CHu) Is a cluster head CHaAnd cluster head CHwThe spatial distance therebetween;
Figure BDA0002585484930000053
represents: is located at cluster head CHaMaximum communication distance YmaxWithin the range, and located at a communication distance d (CH) with the base station 2 as the centeraBS) a set of cluster heads within range,d(CHa,CHw) Is a cluster head CHaAnd cluster head CHwThe spatial distance therebetween; f (t)th-t1) To determine the function, when tth-t1When f is greater than or equal to 0, f (t)th-t1) 1 is ═ 1; when t isth-t1<At 0, f (t)th-t1)＝0；
If the calculated dominance value is greater than the preset dominance threshold value, direct communication is performed between the cluster head and the base station 2, otherwise, a relay forwarding node is selected from the cluster heads capable of performing direct communication with the base station 2 to perform indirect communication with the base station 2.
Has the advantages that: if the cluster heads are directly communicated with the base station 2, cluster heads which are far away from the base station 2 and have long transmission slope information length may enter and die too early due to too fast energy consumption, so that the slope danger monitoring accuracy of the system is affected, in order to balance the energy of the wireless sensor network and ensure the slope monitoring accuracy of the system, the embodiment creatively provides the mode to measure whether each cluster head can be directly communicated with the base station 2, the mode respectively calculates the advantage value of the cluster head which can be directly communicated with the base station 2, and then compares the calculated advantage value with the preset advantage threshold value, so that the communication mode of each cluster head and the base station 2 is determined, the purpose of balancing the energy of the wireless sensor network is achieved, and the operation cost of the system is reduced.
Wherein, the selecting a relay forwarding node from the cluster head capable of directly communicating with the base station 2 to indirectly communicate with the base station 2 specifically includes:
the set Ψ is set to be a set of cluster heads that directly communicate with the base station 2, and the cluster heads in the set Ψ are denoted as: cvlVL is 1,2, … VL, VL is the number of cluster heads in the set Ψ; the set Θ is a set of cluster heads indirectly communicating with the base station 2, and the cluster heads in the set Θ are recorded as: culUL is 1,2, …, UL, which is the number of cluster heads in the set Θ;
the cluster head C in the set Θ is calculated using the following equationulSelecting a Cluster head C in the set ΨvlActing as a relay forwarding nodeThe value is as follows:
Figure BDA0002585484930000061
in the formula, Fre (C)vl) As cluster head C in set thetaulSelecting a Cluster head C in the set ΨvlAs a cost value of the relay forwarding node;
Figure BDA0002585484930000062
represents: cluster head CulThe member nodes in the cluster transmit the maximum data packets which can be transmitted respectively through the cluster head CulForward to cluster head CvlThe amount of energy required to be consumed;
Figure BDA0002585484930000063
represents: received by it from cluster head CulThe maximum data packet to be forwarded to the base station 2;
Figure BDA0002585484930000064
represents: forwarding the maximum data packet sent by each cluster member node in the cluster to the energy value required to be consumed by the base station 2;
Figure BDA0002585484930000065
the value range of the preset load rate of the wireless sensor network is as follows:
Figure BDA0002585484930000066
as a preference, the first and second liquid crystal compositions are,
Figure BDA0002585484930000067
E0(Cvl) Is a cluster head CvlAn initial energy value of; t is tm1Represents: at cluster head CulAmong all cluster member nodes of (1), the cluster member node farthest therefrom transmits unit data to the cluster head CulRequired time period, tm2(Ccf) Represents: cluster head CcfThe time duration required for sending unit data to the base station; lambda [ alpha ]1、λ2Is a preset weight coefficient;
Fre(Cvl) The cluster head corresponding to the minimum value is the cluster head CulA relay forwarding node in communication with the base station 2.
And traversing all the cluster heads in the set theta to obtain the relay forwarding nodes for the communication between each cluster head in the set theta and the base station 2.
Has the advantages that: in the prior art, when determining a relay forwarding node, it is usually determined that one cluster head serving as the relay forwarding node is designated, and then the cluster head indirectly communicating with the base station 2 performs information interaction with the base station 2 through the relay forwarding node, and this transmission mode is obviously not suitable for cluster heads far away from the relay forwarding node; in order to better balance the energy of the whole wireless sensor network, the embodiment of the invention provides that corresponding relay forwarding nodes are respectively determined according to the actual conditions of the cluster heads, and compared with the method of directly appointing one relay forwarding node, the method for determining the relay forwarding nodes in the embodiment of the invention has strong self-adaptive capacity and can select one relay forwarding node which is more matched with the relay forwarding node according to the actual conditions of the cluster heads.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (6)

1. The utility model provides a side slope monitoring system based on big data, characterized by includes: the system comprises a data acquisition terminal, a base station and a remote monitoring platform based on a wireless sensor network; the data acquisition end is in communication connection with the base station, and the base station is in communication connection with the remote monitoring platform; the data acquisition end is used for acquiring slope information in a monitoring area, wherein the slope information comprises: displacement, pressure, strain, stress and rainfall data; the base station receives the slope information collected by the data collection end and forwards the slope information to the remote monitoring platform; the remote monitoring platform processes and analyzes the received slope information, judges the slope danger level in the monitoring area based on a pre-established slope danger analysis model, and sends alarm information if the judgment result shows that the slope danger level exceeds a preset slope danger safety level threshold.
2. The slope monitoring system according to claim 1, wherein the data acquisition end comprises: a plurality of sensor nodes and a plurality of cluster heads deployed within the monitoring area; the sensor nodes are added into the corresponding cluster heads according to a preset cluster adding rule to become cluster member nodes of the corresponding cluster heads; and the cluster head gathers the slope information collected by the cluster member nodes in the cluster and the slope information collected by the cluster member nodes, and the slope information is compressed and then forwarded to the base station.
3. The slope monitoring system according to claim 2, wherein the sensor node comprises: one or more of a displacement sensor, a pressure sensor, a stress sensor, a strain sensor and a rainfall sensor;
the cluster head includes: one or more of a displacement sensor, a pressure sensor, a stress sensor, a strain sensor and a rainfall sensor.
4. The slope monitoring system according to claim 1, wherein the remote monitoring platform comprises: the system comprises a cloud storage module, a slope dangerous case analysis module and a slope dangerous case early warning module;
the cloud storage module is used for receiving and storing the slope information sent by the base station;
the side slope dangerous case analysis module is used for calling side slope information from the cloud storage module, processing and analyzing the called side slope information, judging the side slope dangerous case grade in the monitoring area based on a pre-established side slope dangerous case analysis model, and if the judgment result shows that the side slope dangerous case grade exceeds a preset side slope dangerous case safety grade threshold value, sending a driving instruction to the side slope dangerous case early warning module to drive the side slope dangerous case early warning module to send out early warning information.
5. The slope monitoring system according to claim 1 or 5, further comprising: and the mobile equipment terminal is in communication connection with the remote monitoring platform and is used for receiving early warning information sent by the remote monitoring platform.
6. The slope monitoring system according to claim 2, wherein the plurality of sensor nodes are added to the corresponding cluster heads according to a preset clustering rule, specifically:
after the deployment of the sensor nodes and the cluster heads is completed, the cluster heads send out a cluster adding message at the same time; after a preset time period;
each sensor node selects a proper cluster head to join according to the cluster adding message received in a preset time period to form a cluster member node of the corresponding cluster head, and specifically, if the sensor node only receives the cluster adding message of one cluster head in a preset time interval, the sensor node directly joins in the cluster head to form the cluster member node of the cluster head;
if the sensor node receives a clustering adding message from a plurality of cluster heads within a preset time interval, the sensor node calculates the degree of closeness between the sensor node and the cluster heads by using the following formula, and selects the cluster head with the maximum degree of closeness from the calculated degree of closeness to become a cluster member node of the cluster head, wherein the degree of closeness between the sensor node and the cluster heads is calculated by using the following formula:
Figure FDA0002585484920000021
wherein Deg (S)i,CHk) As sensor node SiAnd cluster head CHkThe degree of closeness value therebetween; n is a radical ofmax(CHk) Is a cluster head CHkThe maximum cluster membership that can be accommodated; n is a radical of0(CHk) To have added to cluster head CHkThe number of cluster members in (a); d (S)i,CHk) As sensor node SiAnd cluster head CHkThe spatial distance therebetween; rmax(CHk) Is a cluster head CHkMaximum communication radius of (d), t (S)i,CHk) As sensor node SiReceiving a CH from a cluster headkTime interval of the clustering message, ttotai is the sensor node SiThe sum of the time intervals at which the clustering messages from the cluster heads are received, i.e.
Figure FDA0002585484920000022
V is: in a preset time interval, the sensor node SiReceiving the cluster head number of the cluster adding information; e1(CHk) Comprises the following steps: if sensor node SiSingle data channel cluster head CHkForwarding to the energy value required to be consumed by the base station; e1(CHv) Comprises the following steps: if sensor node SiSingle data channel cluster head CHvForwarding to the energy value required to be consumed by the base station; alpha is a preset weight coefficient, and the size of the preset weight coefficient satisfies that: 0<α<1。
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CN116189388A (en) * 2023-01-16 2023-05-30 北京中关村智连安全科学研究院有限公司 Warning method and system for warning device

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113207103A (en) * 2021-04-30 2021-08-03 深圳世源工程技术有限公司 Soil erosion monitoring method and system
CN113207103B (en) * 2021-04-30 2021-11-26 深圳世源工程技术有限公司 Soil erosion monitoring method and system
CN116189388A (en) * 2023-01-16 2023-05-30 北京中关村智连安全科学研究院有限公司 Warning method and system for warning device

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Application publication date: 20201106