CN104091075A - Tree management and transportation path planning system based on Internet of Things and achieving method thereof - Google Patents
Tree management and transportation path planning system based on Internet of Things and achieving method thereof Download PDFInfo
- Publication number
- CN104091075A CN104091075A CN201410331418.0A CN201410331418A CN104091075A CN 104091075 A CN104091075 A CN 104091075A CN 201410331418 A CN201410331418 A CN 201410331418A CN 104091075 A CN104091075 A CN 104091075A
- Authority
- CN
- China
- Prior art keywords
- trees
- information
- tree
- plant
- cloud platform
- 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
Links
- 238000007726 management method Methods 0.000 title claims abstract description 63
- 238000013439 planning Methods 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000004891 communication Methods 0.000 claims abstract description 20
- 241000196324 Embryophyta Species 0.000 claims description 52
- 230000010354 integration Effects 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000010411 cooking Methods 0.000 claims description 5
- 230000001105 regulatory effect Effects 0.000 claims description 5
- 230000002776 aggregation Effects 0.000 claims description 4
- 238000004220 aggregation Methods 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 230000037361 pathway Effects 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000000691 measurement method Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 8
- 230000003203 everyday effect Effects 0.000 description 4
- 238000009362 arboriculture Methods 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The invention relates to the technical field of Internet of Things, in particular to a tree management and transportation path planning system based on Internet of Things and an achieving method thereof. The system comprises a plant information management device, a cloud platform, a central processing module and a communication module. Information is obtained through the plant information management device, and a transportation path is managed, analyzed and planned through the cloud platform. A full-automatic tree management and cross-regional deploying scheme is provided, and the system can be used in automatic management of trees.
Description
Technical field
The present invention relates to technology of Internet of things field, particularly a kind of Tree management and Transport route planning system and its implementation based on Internet of Things.
Background technology
Internet of Things as its name suggests, is exactly " internet that thing thing is connected ", mainly refer to by information sensing equipment such as RFID, bar code, GPS, article are connected with internet, carry out message exchange and communicate by letter, realize intellectuality identification, location, tracing and managing to article.
RFID is a kind of REID, is one of core technology of thing network sensing layer.There is the advantages such as the fast and easy of reading, decipherment distance is long, data accumulating capacity is large, security is high.Being numbered when chip dispatches from the factory of RFID electronic tag writes, and the whole world is unique.
GPS full name is Global Positioning System (GPS), and its ultimate principle is to measure the satellite of known location to the distance between receiver user, and then the data of comprehensive multi-satellite just can be known the particular location of receiver.
Cloud computing refers to calculating, storage, software, information etc. is offered to terminal user as service rather than product.For terminal user, do not need to know physical location and the concrete configuration of cloud platform.Typically, it is the various resources of addressable cloud platform that terminal user only needs browser conventionally, enjoys the service that cloud platform provides.
What existing cultivation base Tree management adopted substantially is the mode of manual measurement and record, cannot also cannot determine the position of each trees specific to each trees, also expends a large amount of manpowers and time simultaneously.
According to the rule of trees plantation, due to the continuous elongated chap of trunk of trees, the area of tree crown also constantly expands, and adjacent two strain trees can move closer to so that block, and affect its continued growth.So generally take the mode of transplanting, i.e. arboreal growth is just transplanted to certain stage the cultivation base that new spacing is larger and goes to continue plantation.Existing transplanting opportunity is mainly by manually judging; Transplant destination, transportation route also by manually selecting; Tend to because of information transmission not in time, people's decision-making error causes some losses.
In addition,, when trees are sold as a kind of commodity, the storage of plantation garden, trees demand ground cannot meet order demand often, so need to carry out from other areas the allotment of trees; And existing Tree management allotment scheme is all artificial planning substantially and works out, cannot effectively and optimally determine fast the scheme of the trans-regional allotment of trees.
Summary of the invention
One of technical matters that the present invention solves is the present situation according to Tree management, proposes a kind of Tree management and Transport route planning system based on Internet of Things; Transport task and haulage track when general management trees detailed data and automatic programming tree dowel are sold and transplant.
Two present situations that are according to Tree management of the technical matters that the present invention solves, propose a kind of Tree management and Transport route planning network system realization based on Internet of Things; Transport task and haulage track when general management trees detailed data and automatic programming tree dowel are sold and transplant.
The technical scheme that the present invention one of solves the problems of the technologies described above is:
Comprise plant information management equipment, cloud platform, central processing module, communication module;
Described plant information management equipment comprises RFID label and GPS steady arm, and in range of management, each trees all should be furnished with this two kinds of equipment; And RFID read-write equipment and GPS receiving equipment, make measuring-signal and RFID set up corresponding relation by RFID equipment;
Described central processing module, for connecting various piece, manages equipment and the data of collecting; Other information such as the plant characteristics data of acquisition, positional information, Measuring Time are integrated into a complete plant regulatory information and upload to cloud platform together with the RFID numbering of this plant and store;
Described communication module, for the data transmission between central processing module and plant information management equipment or cloud platform;
Described cloud platform, provides storage, the inquiry and analysis of data; Data processed, added up and manage, and check plant characteristics data, judging whether it needs to transplant; Its deploy has plantation base map, Regional Integration and path planning computing module; Described map comprises two parts, and one is plantation base internal map, has comprised the position coordinates at inner all plantation tree wells place, each base, and the relative position between index tree and tree, in order to find concrete trees in plantation base; It two is plantation location base maps, and during for transplanting tree, sale or other tasks, transport task determines and the navigation of haulage track; Described Regional Integration and path planning computing module, be integrated into a whole transport task by the trees in different regions, different plot according to sales order etc., and according to task object, cook up the Rational Path of trees transportation.
Described GPS receiving equipment and RFID read-write equipment can be integrated in a rfid interrogator with GPS steady arm.
Described communication module is for adopting the communication module of the wireless mode communications such as 3G, GPRS.
Two the technical scheme that the present invention solves the problems of the technologies described above is:
Comprise the steps:
Step 1: for each strain trees is equipped with RFID and GPS steady arm, with each trees of RFID label ID numbering mark, obtain the real-time position information of each trees with GPS steady arm;
Step 2: with the regular time plant characteristics data such as interval measurement trunk length, diameter of a cross-section of a tree trunk 1.3 meters above the ground rugosity; With regular time interval read the positional information of GPS steady arm; Obtain the tree well co-ordinate position information in plantation base, trees place;
Step 3: send the data such as the plant characteristics data that obtain, tree positions information, Measuring Time to central control module by communication module;
Step 4: label read-write apparatus reads this plant RFID numbering, passes to central control module; In central control module, itself and the data that obtain in step 3 are carried out correspondingly, form complete Tree management information;
Then, all trees repeating steps 2 in range of management, to step 4, and are imported into the information obtaining to the Tree management information database of cloud platform, trees information is upgraded;
Step 5: after Tree management information is upgraded each time, the management information of each trees backs up simultaneously in the RFID of trees; Cloud platform, according to uploaded data, counts the quantity of each base plantation trees, the information such as vacant quantity that can plant trees;
Step 6: cloud platform receives after trees information, compares plant characteristics data and predefined threshold value, while finding that timbered plant characteristics data grow to predefined threshold value, sends the signal that these trees need to be changed plantation base;
Step 7: cloud platform gathers the trees information of needs transportation every fixed intervals, counts transportation trees quantity, needs the transportation demands such as the initial location base information of transportation trees;
Step 8: when system is received new order, cloud platform is according to the demand in order, and the plantation position of query demand trees, adds up the modal position relation that trees are started shipment region and target area, Regional Integration in calling platform and path planning computing module, form trees and sell transport task;
Step 9: cloud platform is according to transplanting tree or sell transport task, the vacant situation in plantation base, and plant the information such as base map, and determine traffic program, finally with path planning algorithm, cook up haulage track the most efficiently;
Step 10: the traffic program of cooking up according to cloud platform, in base, map is found out needs the trees of transportation and by fixed route navigation, trees are transported to named place of destination on map between plantation base, and then, repeating step 2, to step 4, upgrades plant information.
The measuring method of described step 2 does not limit, and can adopt traditional manual measurement method, can adopt electronic device automatically to measure yet.
Described step 7, according to certain aggregation algorithms, stipulates that interior plantation base separated by a distance is a gathering; When the trees transportation demand amount in a gathering exceeds certain threshold value, send a transport task.
The traffic program of described step 9 comprises transport pathway, transportation vehicle etc.
Beneficial effect:
1. by the present invention, plant regulatory is combined with technology such as Internet of Things, cloud computings, realized the digital management of extensive arboriculture, not only the various details of plant are all upgraded in real time and monitoring, can effectively lower data management error probability, save the link of part manpower intervention simultaneously, increased work efficiency, promoted management level.
2. the present invention identifies trees by RFID, by GPS, trees is realized to location, and the management by the management of individual plant trees with arboriculture base combines, and in cloud database, can effectively grasp the situation of trees and the situation of cultivation base.Any management or have authority visitor, can obtain these management information by the mobile terminal in accessible high in the clouds at any time.
3. the present invention has realized plant simultaneously and has sold and transplanted the automatic path planning function of transporting, by high in the clouds program, in conjunction with tree features data, trees present position and cultivation base information, on electronic chart, cook up the Rational Path of transplanting tree, for transportation provides convenience.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the present invention is further described:
Fig. 1 is the structural drawing of system of the present invention;
Fig. 2 is working-flow figure of the present invention.
Embodiment
The present invention realizes the data intelligent of trees management, comprises following aspect: 1. the effective information such as the characteristic of storage and real-time update plant, position, growing state; 2. effectively storage and the plantation situation of management trees, the plantation trees in base and vacant plantation ability etc. are respectively planted in management; 3. effectively statistics needs to transplant trees situation, and cooks up the Rational Path of transportation.Specifically to realize three key issues: the one, how effectively, automatically manage the various information of trees, as characteristic, position etc.The 2nd, how to confirm and searching need the trees of transplanting.The 3rd, the Rational Path of the real needs of how to confirm trees transportation and planning transportation.
The software and hardware of this technology of paper is realized below, then introduces the using method of this invention.
One, hardware is realized
1.RFID label and GPS steady arm.In range of management, each trees all should be furnished with this two kinds of equipment.
2.RFID read-write equipment, the function of this equipment is that measuring-signal and RFID are set up to corresponding relation.
3.GPS equipment.GPS transceiver and RFID read-write equipment can be integrated in a rfid interrogator with GPS module.1-3 can be collectively referred to as plant information management equipment.
4. a set of cloud platform that storage, inquiry and analysis function are provided.On cloud platform, should be deployed with plantation base map, transportation region integrated process and path planning calculation procedure.
5. central processing module, this module is used for connecting various piece, and for the management of equipment, information and the transmission of data etc.
6. the direct communication module of plant information management equipment and central processing module.For the data transmission between plant information management equipment and central processing module.
7. the communication module between cloud platform and central processing module.
Note: 6, the communication mode in 7 adopts wireless mode, concrete mode can be 3G, GPRS etc.
Two, software is realized
The supervisory routine of 1.RFID read-write equipment.For controlling the read-write of RFID.
The supervisory routine of 2.GPS transceiver.For controlling the transmitting-receiving of GPS.
3. communication module.This module for the excessively certain communications protocol of various plant regulatory information exchanges is transmitted in central processing module and central processing module by communication in cloud platform.
4. the driver of central processing module to RFID read-write equipment.For realizing the management of central processing module to RFID read-write equipment.
5. the driver of central processing module to GPS transceiver.For realizing the management of central processing module to GPS transceiver.
6. the supervisory routine of central processing module.For operation to central processing module, the data of collecting are managed etc., its main function is by plant characteristics data, positional information, other information such as Measuring Time are integrated into a complete plant regulatory information and store.
7. interactive program of central processing module and cloud platform etc.
8. the supervisory routine on cloud platform and database etc., for processing, statistics and the management of data, and check plant characteristics data, judges whether it needs to transplant.
9. electronic chart and transport task and path planning program, this module is deployed on cloud platform.Electronic chart comprises two parts, and one is plantation base internal map, has comprised the position coordinates at inner all plantation tree wells place, each base, and the relative position between index tree and tree, in order to find concrete trees in plantation base; It two is plantation location base maps, and during for transplanting tree, sale or other tasks, transport task determines and the navigation of haulage track.Utilize some Regional Integration and path planning algorithm, the trees in different regions, different plot are integrated into a whole transport task according to sales order etc., and according to task object, cook up the Rational Path of trees transportation.Regional Integration algorithm is as nearest neighbor algorithm, and the core of this algorithm is according to the attribute of most samples in the selected adjacent features region of certain sample one, determines the attribute of this sample; Path planning algorithm is dijkstra's algorithm for example, and this algorithm selects a certain end points as starting point in map, makes greed select continuous expansion can determine the Extreme points set of bee-line with starting point to adjacent end points, and terminal adds the selection that wherein completes path the most at last.
Three, using method
Step 1: for each strain trees is equipped with RFID and GPS steady arm, with each trees of RFID label ID numbering mark, obtain the real-time position information of each trees with GPS steady arm.
Step 2: with regular time interval measurement plant characteristics data, as trunk length, diameter of a cross-section of a tree trunk 1.3 meters above the ground rugosity etc., the measuring method here does not limit, and can adopt traditional manual measurement method, also can adopt electronic device automatically to measure; With regular time interval read the positional information of GPS steady arm; Obtain the tree well co-ordinate position information in plantation base, trees place.
Step 3: will obtain the data such as plant characteristics data, tree positions information, Measuring Time and send central control module to by communication module.
Step 4: read this plant RFID numbering, pass to central control module, itself and the data that obtain in step 3 are carried out correspondingly in central control module, form complete Tree management information.All trees repeating steps two in range of management are arrived to step 4, and the information obtaining is imported into the Tree management information database in high in the clouds, trees information is upgraded.
Step 5: after Tree management information is upgraded each time, the database after upgrading is uploaded to cloud platform.The management information of each trees backs up simultaneously in the RFID of trees.Cloud platform, according to uploaded data, counts the quantity of each base plantation trees, the information such as vacant quantity that can plant trees.
Step 6: cloud platform receives after trees information, compares plant characteristics data and predefined threshold value, while finding that timbered plant characteristics data grow to predefined threshold value, sends the signal that these trees need to be changed plantation base.
Step 7: cloud platform gathers the trees information of needs transportation every fixed intervals, count transportation demand, as need transportation trees quantity, needs the initial location base information of transportation trees etc.According to certain aggregation algorithms, for example, stipulate that interior plantation base separated by a distance is a gathering; When the trees transportation demand amount in a gathering exceeds certain threshold value, send a transport task.
Step 8: when system is received new order, cloud platform is according to the demand in order, and the plantation position of query demand trees, adds up the modal position relation that trees are started shipment region and target area, Regional Integration program in calling platform, forms trees and sells transport task.
Step 9: cloud platform is according to transplanting tree or sell transport task, the vacant situation in plantation base, and plant the information such as base map, and determine traffic program, comprise transport pathway, for example train or automobile; Transportation vehicle; The final haulage track the most efficiently of cooking up with path planning algorithm.
Step 10: the traffic program of cooking up according to cloud platform, in base, map is found out needs the trees of transportation and by fixed route navigation, trees are transported to named place of destination on map between plantation base, and repeating step two to four, upgrades plant information.
A kind of mode that the present invention realizes first gordian technique is to be equipped with RFID and GPS equipment to trees, with RFID sign trees, with GPS, coordinates map tree well coordinate in plantation base to confirm tree positions.Every the set time, every day for example, measure plant to obtain its characteristic, obtain these trees GPS elements of a fix and place tree well coordinate, read RFID tag number, above-mentioned data are integrated with information such as Measuring Time, form a complete Tree management information, be uploaded to high in the clouds and back up in trees RFID label, to reach the object of automatic management trees.
A kind of mode that realizes second technology is to set up the electronic chart in arboriculture base and the database of whole trees information at cloud platform.When native system is applied to sales goal, first checks and have or not order to enter, if there is order to be accepted, according to order, call trees information and the Regional Integration algorithm in high in the clouds, plan a rational trees allotment transport task.
System applies, when the task of transplanting, can be determined trees to be transplanted and position thereof automatically.
Searching has the trees of transplanting demand, need to set a threshold value as transplanting benchmark, when upgrading Tree management information every day, the timbered characteristic of scanning, whether the characteristic that checks every trees surpasses this threshold value, if surpass, this tree is labeled as to the transplanting state for the treatment of.
While transplanting at every turn, at cloud platform, recall the information that is marked as trees to be transplanted, a scope that error is ten meters of left and right that navigates to these trees according to the position in information, reads the RFID of trees in this scope, determine the exact position of these trees according to the tree well coordinate in RFID.So just remove every day from and will carry out loaded down with trivial details DATA REASONING to trees, can determine quantity and the position that need to transplant trees, be convenient to integrate transport task, determined traffic program.
Realizing the 3rd problem need to for example every day, be gathered the quantity that obtains transporting trees every the set time by high in the clouds handling procedure, start shipment position and alternative demand object base.Stipulate that interior plantation base separated by a distance is a gathering; Utilize the transport task between the gathering of Regional Integration algorithmic rule.Cloud platform, according to trees transport task, is planted the vacant situation in base, and plants the information such as base map, determines traffic program, comprises transport pathway, for example train or automobile; Transportation vehicle etc.Finally use path planning algorithm, Di jkstra algorithm for example, algorithmic procedure is introduced above.The haulage track the most efficiently of cooking up.
Claims (8)
1. the Tree management based on Internet of Things and Transport route planning system, is characterized in that: comprise plant information management equipment, cloud platform, central processing module, communication module;
Described plant information management equipment comprises RFID label and GPS steady arm, and in range of management, each trees all should be furnished with this two kinds of equipment; And RFID read-write equipment and GPS receiving equipment, make measuring-signal and RFID set up corresponding relation by RFID equipment;
Described central processing module, for connecting various piece, manages equipment and the data of collecting; Other information such as the plant characteristics data of acquisition, positional information, Measuring Time are integrated into a complete plant regulatory information and upload to cloud platform together with the RFID numbering of this plant and store;
Described communication module, for the data transmission between central processing module and plant information management equipment or cloud platform;
Described cloud platform, provides storage, the inquiry and analysis of data; Data processed, added up and manage, and check plant characteristics data, judging whether it needs to transplant; Its deploy has plantation base map, Regional Integration and path planning computing module; Described map comprises two parts, and one is plantation base internal map, has comprised the position coordinates at inner all plantation tree wells place, each base, and the relative position between index tree and tree, in order to find concrete trees in plantation base; It two is plantation location base maps, and during for transplanting tree, sale or other tasks, transport task determines and the navigation of haulage track; Described Regional Integration and path planning computing module, be integrated into a whole transport task by the trees in different regions, different plot according to sales order etc., and according to task object, cook up the Rational Path of trees transportation.
2. Tree management according to claim 1 and Transport route planning system, is characterized in that: described GPS receiving equipment and RFID read-write equipment can be integrated in a rfid interrogator with GPS steady arm.
3. Tree management according to claim 1 and 2 and Transport route planning system, is characterized in that: described communication module is for adopting the communication module of the wireless mode communications such as 3G, GPRS.
4. the implementation method of Tree management and Transport route planning system described in claim 1, is characterized in that: comprise the steps:
Step 1: for each strain trees is equipped with RFID and GPS steady arm, with each trees of RFID label ID numbering mark, obtain the real-time position information of each trees with GPS steady arm;
Step 2: with the regular time plant characteristics data such as interval measurement trunk length, diameter of a cross-section of a tree trunk 1.3 meters above the ground rugosity; With regular time interval read the positional information of GPS steady arm; Obtain the tree well co-ordinate position information in plantation base, trees place;
Step 3: send the data such as the plant characteristics data that obtain, tree positions information, Measuring Time to central control module by communication module;
Step 4: label read-write apparatus reads this plant RFID numbering, passes to central control module; In central control module, itself and the data that obtain in step 3 are carried out correspondingly, form complete Tree management information;
Then, all trees repeating steps 2 in range of management, to step 4, and are imported into the information obtaining to the Tree management information database of cloud platform, trees information is upgraded;
Step 5: after Tree management information is upgraded each time, the management information of each trees backs up simultaneously in the RFID of trees; Cloud platform, according to uploaded data, counts the quantity of each base plantation trees, the information such as vacant quantity that can plant trees;
Step 6: cloud platform receives after trees information, compares plant characteristics data and predefined threshold value, while finding that timbered plant characteristics data grow to predefined threshold value, sends the signal that these trees need to be changed plantation base;
Step 7: cloud platform gathers the trees information of needs transportation every fixed intervals, counts transportation trees quantity, needs the transportation demands such as the initial location base information of transportation trees;
Step 8: when system is received new order, cloud platform is according to the demand in order, and the plantation position of query demand trees, adds up the modal position relation that trees are started shipment region and target area, Regional Integration in calling platform and path planning computing module, form trees and sell transport task;
Step 9: cloud platform is according to transplanting tree or sell transport task, the vacant situation in plantation base, and plant the information such as base map, and determine traffic program, finally with path planning algorithm, cook up haulage track the most efficiently;
Step 10: the traffic program of cooking up according to cloud platform, in base, map is found out needs the trees of transportation and by fixed route navigation, trees are transported to named place of destination on map between plantation base, and then, repeating step 2, to step 4, upgrades plant information.
5. implementation method according to claim 4, is characterized in that: the measuring method of described step 2 does not limit, and can adopt traditional manual measurement method, also can adopt electronic device automatically to measure.
6. implementation method according to claim 4, is characterized in that: described step 7, according to certain aggregation algorithms, stipulates that interior plantation base separated by a distance is a gathering; When the trees transportation demand amount in a gathering exceeds certain threshold value, send a transport task.
7. implementation method according to claim 5, is characterized in that: described step 7, according to certain aggregation algorithms, stipulates that interior plantation base separated by a distance is a gathering; When the trees transportation demand amount in a gathering exceeds certain threshold value, send a transport task.
8. according to the implementation method described in claim 4 to 7 any one, it is characterized in that: the traffic program of described step 9 comprises transport pathway, transportation vehicle etc.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410331418.0A CN104091075A (en) | 2014-07-11 | 2014-07-11 | Tree management and transportation path planning system based on Internet of Things and achieving method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410331418.0A CN104091075A (en) | 2014-07-11 | 2014-07-11 | Tree management and transportation path planning system based on Internet of Things and achieving method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104091075A true CN104091075A (en) | 2014-10-08 |
Family
ID=51638791
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410331418.0A Pending CN104091075A (en) | 2014-07-11 | 2014-07-11 | Tree management and transportation path planning system based on Internet of Things and achieving method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104091075A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105045813A (en) * | 2015-06-11 | 2015-11-11 | 中南林业科技大学 | Cloud computing based system for pushing information about ancient and famous trees |
| CN105532277A (en) * | 2015-12-24 | 2016-05-04 | 江苏商贸职业学院 | Intelligent tree infusion system |
| CN108389116A (en) * | 2018-04-25 | 2018-08-10 | 淮阴师范学院 | A kind of supermarket shopping commodity navigation system |
| CN110119436A (en) * | 2019-03-27 | 2019-08-13 | 中国电建集团华东勘测设计研究院有限公司 | Transplanted seedling tree progress determines method, system, storage medium and electronic equipment |
| CN110119793A (en) * | 2019-03-27 | 2019-08-13 | 中国电建集团华东勘测设计研究院有限公司 | Forest transplants location determining method, system, storage equipment and electronic equipment |
| CN111854616A (en) * | 2020-05-21 | 2020-10-30 | 南京鸿亦沄智能科技有限公司 | Tree breast height diameter vision measurement method and system under assistance of laser |
| CN113065014A (en) * | 2020-12-05 | 2021-07-02 | 泰州市朗嘉馨网络科技有限公司 | Drop tree body type identification platform and method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103325064A (en) * | 2013-06-07 | 2013-09-25 | 常州大学 | Botanical garden internet of things intelligent management system and intelligent management method thereof |
| CN103839185A (en) * | 2014-03-07 | 2014-06-04 | 江苏农牧科技职业学院 | Internet-of-things system for managing city old tree and famous wood species |
-
2014
- 2014-07-11 CN CN201410331418.0A patent/CN104091075A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103325064A (en) * | 2013-06-07 | 2013-09-25 | 常州大学 | Botanical garden internet of things intelligent management system and intelligent management method thereof |
| CN103839185A (en) * | 2014-03-07 | 2014-06-04 | 江苏农牧科技职业学院 | Internet-of-things system for managing city old tree and famous wood species |
Non-Patent Citations (3)
| Title |
|---|
| 李亭亭 等: "物联网在林产品物流中的应用", 《森 林 工 程》 * |
| 林雅惠: "木材物流系统优化与信息平台研究", 《福建农林大学硕士学位论文》 * |
| 肖瑾瑜: "基于物联网的古树名木管理系统研究开发", 《湖 南 林 业 科 技》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105045813A (en) * | 2015-06-11 | 2015-11-11 | 中南林业科技大学 | Cloud computing based system for pushing information about ancient and famous trees |
| CN105532277A (en) * | 2015-12-24 | 2016-05-04 | 江苏商贸职业学院 | Intelligent tree infusion system |
| CN108389116A (en) * | 2018-04-25 | 2018-08-10 | 淮阴师范学院 | A kind of supermarket shopping commodity navigation system |
| CN110119436A (en) * | 2019-03-27 | 2019-08-13 | 中国电建集团华东勘测设计研究院有限公司 | Transplanted seedling tree progress determines method, system, storage medium and electronic equipment |
| CN110119793A (en) * | 2019-03-27 | 2019-08-13 | 中国电建集团华东勘测设计研究院有限公司 | Forest transplants location determining method, system, storage equipment and electronic equipment |
| CN110119436B (en) * | 2019-03-27 | 2022-03-08 | 中国电建集团华东勘测设计研究院有限公司 | Method and system for determining seedling planting progress, storage medium and electronic equipment |
| CN111854616A (en) * | 2020-05-21 | 2020-10-30 | 南京鸿亦沄智能科技有限公司 | Tree breast height diameter vision measurement method and system under assistance of laser |
| CN113065014A (en) * | 2020-12-05 | 2021-07-02 | 泰州市朗嘉馨网络科技有限公司 | Drop tree body type identification platform and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104091075A (en) | Tree management and transportation path planning system based on Internet of Things and achieving method thereof | |
| US20190057460A1 (en) | Information processing device, control method for information processing device, and recording medium having control program for information processing device recorded therein | |
| US11656624B2 (en) | Horticulture aided by autonomous systems | |
| US11730089B2 (en) | Horticulture aided by autonomous systems | |
| Keefe et al. | Use of individual tree and product level data to improve operational forestry | |
| EP3923231A1 (en) | Method and system for managing agricultural processes | |
| CN108960718B (en) | Warehouse management method and system | |
| CN113642990B (en) | Cloud-edge cooperation-based intelligent management and scheduling system and method for agricultural machinery | |
| CN103530361A (en) | Farming land parcel graph construction and precision management middleware based on BD and GIS | |
| CA2526292A1 (en) | Integrated mill | |
| CN103761637A (en) | Warehouse modeling management method with multiple spatial position information stacking positioning and navigation | |
| Vogt et al. | A protocol for citizen science monitoring of recently-planted urban trees | |
| JP6906824B1 (en) | Information processing device, tree growth rate prediction system, tree growth rate prediction method and program | |
| CN103218637A (en) | Plant characteristic data measuring and storing system based on Internet of Things and cloud platform | |
| CN107765594A (en) | A kind of container terminal straddle truck stockyard case position localization method and alignment system | |
| CN103761638B (en) | Logistic storage managing device based on multiple spatial locations information superposition location | |
| CN103745327A (en) | High-efficiency logistics information management method based on internet of things | |
| CN112748396A (en) | Method for determining the position of an object within a plant growth environment using UWB and UWB systems | |
| US20230251386A1 (en) | Real-time kinematic (rtk) positioning system, base station and methods for calibrating and operating | |
| CN106226115A (en) | A kind of collecting soil sample method and device | |
| Suciu et al. | IoT agro-meteorology for viticulture disease warning | |
| JP6806397B1 (en) | Server, road network planning system, road network planning method and program | |
| KR101131156B1 (en) | Tree management system and method for giving management code thereof | |
| EP3922092A1 (en) | Method and agricultural machine for placing planting material in a georeferenced field management unit | |
| CN112733638A (en) | Optimal maintenance suggestion method based on nursery stock Internet of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20141008 |
|
| WD01 | Invention patent application deemed withdrawn after publication |