[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN110139400A - A kind of silo ambient intelligence monitoring system design method - Google Patents

A kind of silo ambient intelligence monitoring system design method Download PDF

Info

Publication number
CN110139400A
CN110139400A CN201910432792.2A CN201910432792A CN110139400A CN 110139400 A CN110139400 A CN 110139400A CN 201910432792 A CN201910432792 A CN 201910432792A CN 110139400 A CN110139400 A CN 110139400A
Authority
CN
China
Prior art keywords
nodes
network
monitoring system
design
silo
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910432792.2A
Other languages
Chinese (zh)
Inventor
李星瑶
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yantai Aiyi New Energy Co Ltd
Original Assignee
Yantai Aiyi New Energy Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yantai Aiyi New Energy Co Ltd filed Critical Yantai Aiyi New Energy Co Ltd
Priority to CN201910432792.2A priority Critical patent/CN110139400A/en
Publication of CN110139400A publication Critical patent/CN110139400A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/12Shortest path evaluation
    • H04L45/122Shortest path evaluation by minimising distances, e.g. by selecting a route with minimum of number of hops
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/46Cluster building
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/08Load balancing or load distribution
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/02Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/04Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

The silo ambient intelligence monitoring system design method based on wireless sensor that the invention discloses a kind of.Specifically include that A. disposes wireless sensor node in silo, setting up wireless networks establish silo ambient intelligence Monitoring System Model;B. all the sensors node in region will be monitored and carry out sub-clustering, hierarchical design, balanced each meshed network load reduces energy loss;C. it is loaded according to the different communication of sensor node and distributes timeslice for it, adjustment time scheduling guarantees the reliability of data transmission;D. wireless sensor network is that the communication quality for adapting to frequently change carries out adaptive maintenance design, improves network reliability, completes the design of silo ambient intelligence monitoring system.This method has stronger scalability and robustness, at low cost, low in energy consumption, can be realized the environmental monitoring of silo long duration, and make relevant Decision in time by silo state and warning information real-time Transmission to control centre by wireless network transmissions.

Description

Design method of intelligent granary environment monitoring system
Technical Field
The invention relates to a design method of an intelligent granary environment monitoring system, and belongs to the fields of network transmission, network management systems and sensors.
Background
China is a large grain producing country, and the granary environment needs to be monitored in order to reduce loss in the grain storage process. Most domestic granary environmental monitoring still adopts traditional wired communication mode or manual mode, and this kind of monitoring mode running cost is high, system scalability is poor, the degree of efficiency, and the cable is arranged complicacy moreover, is difficult for later maintenance, and the cable is ageing easily, and data acquisition cycle is long, can not in time reflect the environmental status of granary, leads to the loss of manpower financial resources.
Disclosure of Invention
In order to solve the problems, the invention aims to provide a granary environment intelligent monitoring system design method with strong expandability and robustness, which is low in cost and power consumption, can realize long-term continuous environment monitoring of a granary, transmits granary state and alarm information to a control center in real time through wireless network transmission, and makes relevant decisions in time.
The technical scheme adopted by the invention for solving the problems comprises the following steps:
A. deploying wireless sensor nodes in the granary, establishing a wireless network, and establishing an intelligent granary environment monitoring system model;
B. all sensor nodes in a monitoring area are subjected to clustering and layering design, network loads of all nodes are balanced, and energy loss is reduced;
C. allocating time slices for the sensor nodes according to different communication loads of the sensor nodes, adjusting time scheduling and ensuring the reliability of data transmission;
D. the wireless sensor network carries out self-adaptive maintenance design for adapting to frequently-changed communication quality, improves the network reliability and completes the design of the intelligent granary environment monitoring system.
The invention has the beneficial effects that:
under the condition that the granary environment monitoring is more and more important, the granary environment monitoring system has the advantages of strong expandability and robustness, low cost and low power consumption, can realize long-term continuous environment monitoring of the granary, transmits granary state and alarm information to a control center in real time through wireless network transmission, and makes relevant decisions in time.
Drawings
FIG. 1 is an overall flow chart of a design method of an intelligent granary environment monitoring system;
FIG. 2 is a diagram of a model structure of an intelligent monitoring system for granary environment;
fig. 3 is a flow chart of a wireless sensor node adjusting time scheduling.
Detailed Description
Referring to fig. 1-3, the method of the present invention comprises the steps of:
A. deploying wireless sensor nodes in the granary, establishing a wireless network, and establishing an intelligent granary environment monitoring system model;
deploying a wireless sensor node in a grain bin, the node comprising: the system comprises a temperature sensor, a humidity sensor, a singing sound sensor and the like, wherein all wireless sensors are controlled by a control center, and the control center can be used for dynamically allocating addresses to the sensors and adjusting network balance. The wireless sensor nodes can relay and widen the coverage range of the wireless network and relay information. When a certain node fails, the control center can perform positioning through refreshing. After each node is deployed, all modules are started to form a wireless network, for example, as shown in fig. 2, and an intelligent granary environment monitoring system model is established. The wireless sensor is set to collect data at regular time, and sends the collected sensing data to a nearby network coordinator, and then transmits the sensing data to the control center.
B. All sensor nodes in a monitoring area are subjected to clustering and layering design, network loads of all nodes are balanced, and energy loss is reduced;
(1) all sensor nodes in a monitoring area are subjected to clustering design, the sensor nodes in each granary are divided into a cluster, each cluster is provided with a main node, other nodes send acquired information to the main nodes, and the main nodes preprocess data and send the data to a nearby network coordinator. The main node is positioned at the position with the minimum distance from all other nodes of the cluster, so that the loss of network energy in the cluster is reduced;
(2) the sensor network system is designed in a layered mode and divided into the following steps: data layer, control layer, maintenance layer. The data layer is mainly composed of sensor nodes and is responsible for data acquisition, preprocessing and transmission in the granary. The control layer mainly comprises a control center, controls the network access of the whole system and improves the service interface. The maintenance layer comprises sensor maintenance, data transmission, task scheduling and the like and supports various communication transmission protocols. By layering the system, the network load caused by overlarge data volume is relieved, and the system safety is ensured.
C. Allocating time slices to the sensor nodes according to different communication loads of the sensor nodes, adjusting time scheduling, and ensuring the reliability of data transmission (as shown in fig. 3);
(1) the main node sends a command for collecting data, and other nodes calculate the time required by the other nodes to control command transmission, receive data and send data after receiving the command (see formula (2)), and report the time to the main node. The master node allocates a proper time slice for the other nodes according to different communication loads of the other nodes, and the activity time T of the nodes is as follows:
wherein,is a command packet acquisition time slice,being command data packetsThe time slice is sent out and the time slice is sent out,is the acquisition time slice at which the data packet is acquired,is the transmit time slice of the acquisition data packet. Therefore, the time scheduling is adjusted, and the reliability of data transmission is ensured.
(2) Node pointThe time required for the transmission of the control command of (1) is:
wherein,is a nodeThe set of child nodes of (a),is the time required for the control command transmission of the child node,is the time required to send a control command once. Node pointThe time to receive the data is:
wherein,and the parameters represent the parameters of the nodes for receiving the data for fusion. Node pointThe time for sending the data is as follows:
wherein,is the time that the node sends the self-produced data.
D. The wireless sensor network carries out self-adaptive maintenance design for adapting to frequently-changed communication quality, improves the network reliability and completes the design of the intelligent granary environment monitoring system.
Carrying out self-adaptive repair design on the wireless sensor network, checking all neighborhood nodes, and repairing two nodes in the neighborhood if two adjacent nodes and the neighborhood nodes form a network; if the source node is on the path of the neighborhood of a certain path in the network, and the nodes on the neighborhood path comprise the destination node, the path between two nodes of the neighborhood is repaired. In the repair state, the node acquires data only in the active time, and sleeps in other times. The repair delay of network transmission is:
wherein,is the active time of the node or nodes,is the duty cycle of the node, and i is the number of node operations. Through the self-adaptive maintenance design, the network reliability is improved, and the design of the intelligent granary environment monitoring system is completed.
In conclusion, the design method of the intelligent granary environment monitoring system is completed. The method has the advantages of strong expandability and robustness, low cost and low power consumption, can realize long-term continuous environmental monitoring of the granary, transmits the state and the alarm information of the granary to a control center in real time through wireless network transmission, and makes relevant decisions in time.

Claims (3)

1. A design method of an intelligent granary environment monitoring system is characterized by comprising the following steps: a wireless sensor network is established, and the reliability of data transmission and the network is ensured;
the method comprises the following steps:
deploying wireless sensor nodes in the granary, establishing a wireless network, and establishing an intelligent granary environment monitoring system model;
all sensor nodes in a monitoring area are subjected to clustering and layering design, network loads of all nodes are balanced, and energy loss is reduced;
allocating time slices for the sensor nodes according to different communication loads of the sensor nodes, adjusting time scheduling and ensuring the reliability of data transmission;
the wireless sensor network carries out self-adaptive maintenance design for adapting to frequently-changed communication quality, improves the network reliability and completes the design of the intelligent granary environment monitoring system.
2. The design method of the intelligent granary environment monitoring system according to claim 1, wherein: the step C comprises the following steps: the master node allocates a proper time slice for the other nodes according to different communication loads of the other nodes, and the activity time T of the nodes is as follows:
3. the design method of the intelligent granary environment monitoring system according to claim 1, wherein: the step D comprises the following steps: if two adjacent nodes and the adjacent nodes form a network, repairing the two adjacent nodes; if the source node is on the path of the neighborhood of a certain path in the network, and the nodes on the neighborhood path comprise the destination node, the path between two nodes of the neighborhood is repaired.
CN201910432792.2A 2019-05-23 2019-05-23 A kind of silo ambient intelligence monitoring system design method Pending CN110139400A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910432792.2A CN110139400A (en) 2019-05-23 2019-05-23 A kind of silo ambient intelligence monitoring system design method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910432792.2A CN110139400A (en) 2019-05-23 2019-05-23 A kind of silo ambient intelligence monitoring system design method

Publications (1)

Publication Number Publication Date
CN110139400A true CN110139400A (en) 2019-08-16

Family

ID=67572509

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910432792.2A Pending CN110139400A (en) 2019-05-23 2019-05-23 A kind of silo ambient intelligence monitoring system design method

Country Status (1)

Country Link
CN (1) CN110139400A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112969155A (en) * 2021-02-02 2021-06-15 南京邮电大学 Task scheduling method for forest fire detection sensor network node

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1933507A1 (en) * 2006-12-15 2008-06-18 Ubiwave Low-power multi-hop networks
CN101360051A (en) * 2008-07-11 2009-02-04 西安电子科技大学 Energy efficient wireless sensor network routing method
CN101715149A (en) * 2009-07-21 2010-05-26 北京邮电大学 Method and device for restoring parallel cross-domain fault of multilayer and multi-domain distributed optical network
CN101729331A (en) * 2008-10-28 2010-06-09 华为技术有限公司 Clustering method and device, routing method and device of cluster head and base station
CN101951659A (en) * 2010-08-13 2011-01-19 华南理工大学 Self-organization method of sensor network and mobile terminal system based on same
CN101980565A (en) * 2010-09-25 2011-02-23 重庆邮电大学 QoS-based Ad Hoc network adaptive node speed multi-path routing method
CN102740394A (en) * 2012-07-19 2012-10-17 济南普赛通信技术有限公司 Center calculation wireless sensor network 2-node disjoint multipath routing algorithm
CA2856027A1 (en) * 2014-03-18 2015-09-18 Smartrek Technologies Inc. Mesh network system and techniques
CN105183057A (en) * 2015-10-14 2015-12-23 刘丰 Grain bin temperature and humidity control system based on Zigbee technology
CN105848247A (en) * 2016-05-17 2016-08-10 中山大学 Vehicular Ad Hoc network self-adaption routing protocol method
CN107040884A (en) * 2016-11-23 2017-08-11 河海大学 A kind of mobile ad hoc network data transmission method based on neighborhood strong connectedness
CN108712756A (en) * 2018-05-17 2018-10-26 河海大学 A kind of wind power generation unit blade status monitoring network reliability analysis method

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1933507A1 (en) * 2006-12-15 2008-06-18 Ubiwave Low-power multi-hop networks
CN101360051A (en) * 2008-07-11 2009-02-04 西安电子科技大学 Energy efficient wireless sensor network routing method
CN101729331A (en) * 2008-10-28 2010-06-09 华为技术有限公司 Clustering method and device, routing method and device of cluster head and base station
CN101715149A (en) * 2009-07-21 2010-05-26 北京邮电大学 Method and device for restoring parallel cross-domain fault of multilayer and multi-domain distributed optical network
CN101951659A (en) * 2010-08-13 2011-01-19 华南理工大学 Self-organization method of sensor network and mobile terminal system based on same
CN101980565A (en) * 2010-09-25 2011-02-23 重庆邮电大学 QoS-based Ad Hoc network adaptive node speed multi-path routing method
CN102740394A (en) * 2012-07-19 2012-10-17 济南普赛通信技术有限公司 Center calculation wireless sensor network 2-node disjoint multipath routing algorithm
CA2856027A1 (en) * 2014-03-18 2015-09-18 Smartrek Technologies Inc. Mesh network system and techniques
CN105183057A (en) * 2015-10-14 2015-12-23 刘丰 Grain bin temperature and humidity control system based on Zigbee technology
CN105848247A (en) * 2016-05-17 2016-08-10 中山大学 Vehicular Ad Hoc network self-adaption routing protocol method
CN107040884A (en) * 2016-11-23 2017-08-11 河海大学 A kind of mobile ad hoc network data transmission method based on neighborhood strong connectedness
CN108712756A (en) * 2018-05-17 2018-10-26 河海大学 A kind of wind power generation unit blade status monitoring network reliability analysis method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
赵海涛等: "一种环境感知的无线Mesh网络自适应QoS路径选择算法", 《信号处理》 *
高松等: "一种跨层自适应WSN拥塞控制路由协议", 《仪表技术》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112969155A (en) * 2021-02-02 2021-06-15 南京邮电大学 Task scheduling method for forest fire detection sensor network node

Similar Documents

Publication Publication Date Title
Song et al. Design of wireless sensor network-based greenhouse environment monitoring and automatic control system
CN110809260B (en) Local data processing method of electricity consumption information acquisition system
CN108566664B (en) Distributed high-energy-efficiency WSN (wireless sensor network) clustering routing optimization method
CN105050095B (en) A kind of topological construction method of the heterogeneous wireless sensor net based on energy predicting
CN102695295A (en) Distributed data acquisition control system and method for applying same
CN102497679A (en) Static clustering algorithm for wireless sensor network
CN102487525A (en) Alarm information transmission method, wireless sensor node equipment and gateway node equipment
CN103841620B (en) Wireless sensor network communication protocol method of automatic cathode protection data acquisition system
CN104750076B (en) Photovoltaic plant intelligent monitor system based on ZigBee/TD LTE gateways
CN103228066A (en) Intelligent security system based on wireless sensor network
CN113078675B (en) Self-organizing communication method and device for distributed adjustable resource clusters in power distribution station
CN110445762A (en) Intelligent environment protection monitoring management system in highway network based on Internet of Things
CN109067871B (en) Electric power ubiquitous intelligent cloud architecture
CN107708086B (en) Mobile energy supplement method for wireless sensor and actuator network
CN110139400A (en) A kind of silo ambient intelligence monitoring system design method
WO2019015615A1 (en) Fog node deployment method and fog network system
CN103476099A (en) Double dormancy method for wireless sensor nodes
Siddikov et al. Analysis of Energy Efficiency Indicators in IoT-based Systems
CN107832192B (en) A kind of server start and stop intelligence control system
CN105867314A (en) Remote monitoring system and communication method thereof
CN101867988A (en) Centralized self-adaptation network manager node selection algorithm in Ad Hoc network
CN103763764A (en) Data transmission method for electric transmission line wireless communication based on automatic power increasing retransmission mechanism
CN108573334A (en) A kind of optimization method of intelligent grid scheduling business
KR101960688B1 (en) Method of managing power of Machine to Machine device, and network server for managing power of Machine to Machine device
Song et al. Design of greenhouse control system based on wireless sensor networks and AVR microcontroller

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190816

RJ01 Rejection of invention patent application after publication