CN103884378A - Method for realizing object intelligent tracing based on network - Google Patents

Method for realizing object intelligent tracing based on network Download PDF

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Publication number
CN103884378A
CN103884378A CN201410039272.2A CN201410039272A CN103884378A CN 103884378 A CN103884378 A CN 103884378A CN 201410039272 A CN201410039272 A CN 201410039272A CN 103884378 A CN103884378 A CN 103884378A
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sensor terminal
server
sensor
network
data
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CN201410039272.2A
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Chinese (zh)
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沈龙强
黄宏强
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Wide mining network technology (Shanghai) Co., Ltd.
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SHANGHAI ZHILIAN TECHNOLOGY Co Ltd
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Abstract

The invention discloses a method for realizing object intelligent tracing based on a network. A server is set, and a sensor terminal is arranged on each object respectively. The sensor terminal is wirelessly connected with the server to carry out two-way communication. The server judges the received environmental data and sends an adjustment instruction to the sensor terminal if the environmental data is abnormal. According to the method, through the construction of a sensor level network, the intelligence of a sensing network is improved, and the efficient data collection, the automatic fault diagnosis and recovery and the coordination in multiple sensor networks can be realized. According to the method, the unity of data source is changed, and the reliability and the fault tolerance of a system are improved.

Description

Realize the method that network object intelligence is followed the trail of
Technical field
The present invention relates to object tracing monitoring field, particularly a kind of method that realizes the tracking of network object intelligence.
Background technology
Asset management is an importance of industry and commerce.For example, in logistics transportation, valuables require monitoring position information in real time, and fragile article require the information such as real-time monitoring temperature, humidity, light intensity.The network platform of good data acquisition and processing, can reduce costs, and reduces time loss, and the security that improves assets, and has good user to experience.
Bar codes technique is a kind of item tracing technology of generally applying now.For example, in, express delivery industry, use bar code to pay object; Retail trade utilizes bar code to manage commodity.But the weak point of bar codes technique is each time product to be followed the trail of and all needed manual scanning.
REID (RFID) is another kind of widely used item tracing technology.It does not need manual scanning, applies to some extent at aspects such as retail trade, automobile, railway, air transportations.But RFID can not provide the information of article environment of living in.
Existing sensor-based material flow tracking system, can apply multiple sensors, gather the much informations such as the position of tracked article and the temperature of environment of living in, humidity, light intensity, in real time or periodically data are sent to service centre, service centre processes sensor information.User can inquiry service center data, take corresponding action, or the rule that service centre sets according to user is directly moved.
There are two weak points in existing material flow tracking system:
One, Sensor section is mainly based on sensors such as the GPS/ Big Dipper, temperature sensor, humidity sensor, light activated elements, collects the information of environment of living in, directly sends data to service centre.This single sensor institutional framework can not realize the self-management of sensor, such as: the coordination between the collection of minimizing redundant data, the diagnosis of fault and recovery, multiple sensing system.
Two, Data Source only relies on sensor, this single Data Source can cause the reliability of system and fault freedom not high.Such as, humidity sensor measurement has deviation, and service centre is difficult to automatically correct; For another example, the communication of system is broken down, and that server just can not obtain the information of client completely.
For two above problems, the present invention is intended to by the structure of sensor level network, improves the intelligent of sensing network, as coordinated between highly effective gathering data, automatic trouble diagnosis and recovery, multisensor network.The present invention also can change the unicity of Data Source, thereby improves reliability and the fault-tolerance of system.
Summary of the invention
The object of this invention is to provide a kind of method that network object intelligence is followed the trail of that realizes, solve defect and deficiency that prior art exists.
The invention provides a kind of method that network object intelligence is followed the trail of that realizes, comprise the following steps:
One server is set, and, a sensor terminal is set respectively on each object, server carry out two-way communication described in described sensor terminal wireless connections;
Make described sensor terminal gather the environmental data of described object and transfer to described server;
Described server judges the described environmental data receiving, if described environmental data occurs that described server sends adjustment instruction to described sensor terminal extremely.
Described sensor terminal is provided with network communication module and GPS/ Big Dipper module, and the described GPS/ Big Dipper is in order to show the geographic position data of described object, and described network communication module is in order to carry out two-way communication with described server.
Described sensor terminal is also provided with one or more with lower module: temperature sensor module, humidity sensor module, light activated element module.
Described method is further comprising the steps of: described server receives after the GPS/ Big Dipper data of described sensor terminal, in the time finding that the spacing of some described sensor terminals is less than projected distance, described server sends instruction, sensor terminal in described projected distance is retained to an operation, other sensor terminals in described projected distance are closed.
Described method is further comprising the steps of: described server obtains after the geographic position data of described object, other environmental datas that also capture the described geographical location in third party's data by the Internet, supplement with the environmental data that described sensor terminal is transmitted.
The present invention, by the structure of sensor level network, has improved the intelligent of sensing network, can realize between highly effective gathering data, automatic trouble diagnosis and recovery, multisensor network and coordinating.The present invention has also changed the unicity of Data Source, thereby improves reliability and the fault-tolerance of system.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method for the invention.
Embodiment
Further illustrate technical scheme of the present invention below in conjunction with drawings and embodiments.
Referring to Fig. 1, the invention provides a kind of method that network object intelligence is followed the trail of that realizes, comprise the following steps:
101, a server is set;
102, a sensor terminal is set respectively on each object, server carry out two-way communication described in described sensor terminal wireless connections.
103, make described sensor terminal gather the environmental data of described object and transfer to described server.
104, described server judges the described environmental data receiving, and abnormal if described environmental data occurs, described server sends adjustment instruction to described sensor terminal.
As an embodiment, described sensor terminal is provided with network communication module and GPS/ Big Dipper module, and the described GPS/ Big Dipper is in order to show the geographic position data of described object, and described network communication module is in order to carry out two-way communication with described server.
As an embodiment, described sensor terminal is also provided with one or more with lower module: temperature sensor module, humidity sensor module, light activated element module.
As an embodiment, described method is further comprising the steps of: described server receives after the GPS/ Big Dipper data of described sensor terminal, in the time finding that the spacing of some described sensor terminals is less than projected distance, described server sends instruction, sensor terminal in described projected distance is retained to an operation, other sensor terminals in described projected distance are closed.
As an embodiment, described method is further comprising the steps of: described server obtains after the geographic position data of described object, other environmental datas that also capture the described geographical location in third party's data by the Internet, supplement with the environmental data that described sensor terminal is transmitted.
In the present invention, in order to improve the intelligent of sensor network, coordinate to realize between highly effective gathering data, automatic trouble diagnosis and recovery, multisensor network, the present invention by sensor combinations single client be merged into one can only network.This network not only comprises multiple sensors and their mutual cooperation, can also comprise one or more sub-sensor networks.This network has CPU, manages all sensors and sub-network.Can be by user's or service centre requirement, or according near the variation (as whether electric weight can lasting, have other client) of self environment of living in, enable or stop using some function or subnet.In the time that certain part of sensor network breaks down, sensor network can by with near adjacent clients to comparing diagnosing malfunction.When two clients distance is enough closely time, the client functional module identical with another of can stopping using, to reduce power consumption.The present invention is the Data Source unicity of data acquisition network for a change, and the present invention obtains data by the multiple channel except sensor network, as: the data that user provides, the useful data that the network platform captures.By the diversification of Data Source, can improve the reliability of system.For example, can capture in the network platform weather, the temperature information of sensor network locality of living in, the data of uploading with sensor network contrast, for the reliability of data acquisition provides reference; Again such as, in express delivery industry, express delivery odd numbers, institutional recipient's information that can provide by user, timing is to user and institutional recipient report logistics information.
Those of ordinary skill in the art will be appreciated that, above embodiment is only for the present invention is described, and be not used as limitation of the invention, as long as within the scope of connotation of the present invention, variation, modification to above embodiment all will drop within the scope of claims of the present invention.

Claims (5)

1. realize the method that network object intelligence is followed the trail of, it is characterized in that, comprise the following steps:
One server is set, and, a sensor terminal is set respectively on each object, server carry out two-way communication described in described sensor terminal wireless connections;
Make described sensor terminal gather the environmental data of described object and transfer to described server;
Described server judges the described environmental data receiving, if described environmental data occurs that described server sends adjustment instruction to described sensor terminal extremely.
2. the method for claim 1, it is characterized in that, described sensor terminal is provided with network communication module and GPS/ Big Dipper module, and the described GPS/ Big Dipper is in order to show the geographic position data of described object, and described network communication module is in order to carry out two-way communication with described server.
3. method as claimed in claim 1 or 2, is characterized in that, described sensor terminal is also provided with one or more with lower module: temperature sensor module, humidity sensor module, light activated element module.
4. method as claimed in claim 2, it is characterized in that, described method is further comprising the steps of: described server receives after the GPS/ Big Dipper data of described sensor terminal, in the time finding that the spacing of some described sensor terminals is less than projected distance, described server sends instruction, sensor terminal in described projected distance is retained to an operation, other sensor terminals in described projected distance are closed.
5. method as claimed in claim 4, it is characterized in that, described method is further comprising the steps of: described server obtains after the geographic position data of described object, other environmental datas that also capture the described geographical location in third party's data by the Internet, supplement with the environmental data that described sensor terminal is transmitted.
CN201410039272.2A 2014-01-27 2014-01-27 Method for realizing object intelligent tracing based on network Pending CN103884378A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106379666A (en) * 2016-08-30 2017-02-08 孟玲 Container security system
CN110189070A (en) * 2019-04-15 2019-08-30 中国电子科技集团公司电子科学研究院 Intelligent logistics Internet of things system

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CN201600775U (en) * 2010-01-21 2010-10-06 武汉翼彩科技有限公司 Portable logistics-information sensing terminal apparatus
CN202331165U (en) * 2011-11-22 2012-07-11 天津科技大学 Novel control system for fruits and vegetables logistics fresh-keeping transportation
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WO2013081292A1 (en) * 2011-11-30 2013-06-06 동명대학교 산학협력단 Wi-fi system of container terminal and wireless access method thereof
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CN203340100U (en) * 2013-07-11 2013-12-11 浙江交通职业技术学院 Real-time logistics environment information feedback device
CN103489087A (en) * 2013-09-17 2014-01-01 广西钦州保税港区欧博科技开发有限公司 Intelligent logistics package system based on Internet of Things

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Publication number Priority date Publication date Assignee Title
KR20100103740A (en) * 2009-03-14 2010-09-28 주식회사 비즈모델라인 Devices for wireless transactions, method for controlling communication channel for transactions by using it and recording medium
CN201600775U (en) * 2010-01-21 2010-10-06 武汉翼彩科技有限公司 Portable logistics-information sensing terminal apparatus
CN202331165U (en) * 2011-11-22 2012-07-11 天津科技大学 Novel control system for fruits and vegetables logistics fresh-keeping transportation
WO2013081292A1 (en) * 2011-11-30 2013-06-06 동명대학교 산학협력단 Wi-fi system of container terminal and wireless access method thereof
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CN102780772A (en) * 2012-07-16 2012-11-14 泸州品创科技有限公司 Logistics positioning, authenticating and monitoring system and working method thereof
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CN103489087A (en) * 2013-09-17 2014-01-01 广西钦州保税港区欧博科技开发有限公司 Intelligent logistics package system based on Internet of Things

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106379666A (en) * 2016-08-30 2017-02-08 孟玲 Container security system
CN110189070A (en) * 2019-04-15 2019-08-30 中国电子科技集团公司电子科学研究院 Intelligent logistics Internet of things system
CN110189070B (en) * 2019-04-15 2021-11-16 中国电子科技集团公司电子科学研究院 Intelligent logistics Internet of things system

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Application publication date: 20140625