CN103903400A - Inclination state danger early warning device for high-risk border tree - Google Patents
Inclination state danger early warning device for high-risk border tree Download PDFInfo
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- CN103903400A CN103903400A CN201410141621.1A CN201410141621A CN103903400A CN 103903400 A CN103903400 A CN 103903400A CN 201410141621 A CN201410141621 A CN 201410141621A CN 103903400 A CN103903400 A CN 103903400A
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- heeling condition
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Abstract
The invention discloses an inclination state danger early warning device for a high-risk border tree. The device is light, and can be fixed to a detected tree trunk conveniently, real-time acceleration data collection is carried out on the tree trunk through a built-in MEMS three-axis acceleration sensor, data are converted through a microprocessor and then is compared with a preset angle threshold valve, whether a detected tree inclination state danger warning is triggered or not is judged, and the alarm mode comprises a GSM directed message alarm and an on-site sound-light alarm. The inclination state of a detected high-risk border tree trunk is monitored in real time, trunk inclination state danger signals are acquired in advance, the municipal administration park maintenance department and pedestrians and vehicles on site are informed, and therefore the accidents of damaging the pedestrians and the vehicles are effectively prevented from being caused by accidental toppling of the border tree. The device is especially suitable for places with the border trees widely planted, such as urban roads, parks and residence communities, and is low in cost, easy and convenient to mount and high in reliability.
Description
Technical field
The present invention relates to trees trunk angle of inclination monitoring technical field, definite say a kind of real-time monitoring device that can carry out to high-risk shade tree heeling condition danger early warning.
Background technology
Along with the fast development of China's construction of city afforestation in recent years, the various shade tree that is dispersed throughout vast avenue, park and residential quarters is that urban development has brought unlimited vigor and vitality.But the shade tree that according to incompletely statistics, cause because of the reason such as inclement weather China various places in recent years surprisingly topple over injure passerby by a crashing object, vehicular events is of common occurrence, and the people's safety of life and property has enough been become to serious harm.Bring out the firm degree reduction of shade tree entirety and conventionally have following reason; 1. weather reason: during as inclement weathers such as strong wind, continuous heavy showers, broad-leaf forest seeds and shallow root seeds often can be because reducing the firm degree of trees a little less than wind loading rating.2. environmental factor: as the height of Urban Underground water level, the stability of impact tree body.3. disease and pest reason: all kinds of the disease and pests impact on seeds, especially termite.And the current stage is patrolled also only in the simple extensive artificial periodical inspection range estimation stage for the routine safety of the even high-risk shade tree of general shade tree, and the inclination of trees is a physical change process slowly normally, only cannot make real judgement to the firm degree of trees with range estimation mode, more can not carry out active prompting near passerby and vehicle and evade potential potential safety hazard.Therefore can make giving warning in advance in dangerous shade tree to trunk heeling condition and just seem particularly important.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the invention provides a kind of heeling condition risk early warning device for high-risk shade tree.Can carry out Real-Time Monitoring to shade tree trunk heeling condition, know in advance trunk heeling condition danger signal and inform in time municipal park maintenance department and on-the-spot pedestrian, vehicle, thus effectively prevent because of shade tree surprisingly topple over cause injure passerby, vehicular events.Be specially adapted to the extensively place of plantation shade tree such as municipal highway, park, residential quarters, and cost is low, simple installation, reliability are high.
The technical solution adopted in the present invention is: comprise microprocessor, MEMS 3-axis acceleration sensor, gsm communication module, button, audible-visual annunciator, lithium ion battery, solar panel and power management module be set, wherein microprocessor respectively with MEMS 3-axis acceleration sensor, gsm communication module, button, audible-visual annunciator, lithium ion battery, solar panel and power management module be set be connected.Device power supply is provided by built-in lithium ion battery and the circulation of external solar panel.In the time of device operation, built-in MEMS 3-axis acceleration sensor carries out acceleration information Real-time Collection to trunk heeling condition, 3-axis acceleration data are converted to trunk actual angle of inclination value and compare analysis with preset angles threshold values through microprocessor, judge whether to trigger the prompting of trunk heeling condition danger early warning.The mode of early warning is divided into the audible-visual annunciator that utilizes gsm communication module to be connected with system with unlatching to designated mobile phone terminal transmission early warning note (the note receiving end number that outer user can be specified by the self-defined increase and decrease of systemic-function button) and sends on-the-spot sound and light alarm.
Compared with prior art, a kind of heeling condition risk early warning device for high-risk shade tree provided by the invention, can effectively prevent because of shade tree surprisingly topple over cause injure passerby, vehicular events.Be specially adapted to the extensively place of plantation shade tree such as municipal highway, park, residential quarters, and cost is low, simple installation, reliability are high.
Embodiment
For those skilled in the art can better understand technical scheme provided by the present invention, below in conjunction with accompanying drawing, example of the present invention is set forth.
Fig. 1 is structured flowchart of the present invention, MEMS 3-axis acceleration sensor in example enforcement uses ADXL345, microprocessor uses MSP430F149, GSM communication module uses GTM 900B, and LCD LCDs uses 128*64 specification, solar panel to use 5V/2W specification, lithium ion battery to use 1 joint 18650 type 2000MAH specifications, button is set adopts 4 key modes (to be respectively; Function select, confirm, on turn over, under turn over).
Device power supply is provided by built-in lithium ion battery and the circulation of external solar panel.When device operation, built-in MEMS 3-axis acceleration sensor carries out acceleration information Real-time Collection to trunk heeling condition, 3-axis acceleration data compare analysis with preset angles threshold values after microprocessor is converted to trunk actual angle of inclination value, judge whether to trigger the prompting of trunk heeling condition danger early warning.The mode of early warning is divided into the audible-visual annunciator that utilizes gsm communication module to be connected with system with unlatching to designated mobile phone terminal transmission early warning note (the note receiving end number that outer user can be specified by the self-defined increase and decrease of systemic-function button) and sends on-the-spot sound and light alarm.
Described in above, be specific embodiment of the invention example and the know-why used.According to the content of disclosure invention, all genus utilize the heeling condition risk early warning device for high-risk shade tree of MEMS 3-axis acceleration sensor design all to belong to abuse.
Claims (7)
1. the heeling condition risk early warning device for high-risk shade tree, it is characterized in that, comprise microprocessor, MEMS 3-axis acceleration sensor, gsm communication module, button, audible-visual annunciator, lithium ion battery, solar panel and power management module be set, wherein microprocessor respectively with MEMS 3-axis acceleration sensor, gsm communication module, button, audible-visual annunciator, lithium ion battery, solar panel and power management module be set be connected.
2. a kind of heeling condition risk early warning device for high-risk shade tree according to claim 1, it is characterized in that, utilize built-in MEMS 3-axis acceleration sensor to carry out real time acceleration data acquisition to trees trunk, data compare with preset angles threshold values after microprocessor conversion, judge whether to trigger measured tree heeling condition hydropac.
3. a kind of heeling condition risk early warning device for high-risk shade tree according to claim 1, it is characterized in that, the type of alarm of trunk heeling condition danger is to send note by gsm communication module to designated mobile phone terminal to open the audible-visual annunciator being connected with system.
4. a kind of heeling condition risk early warning device for high-risk shade tree according to claim 1, is characterized in that, acceleration transducer adopts MEMS 3-axis acceleration sensor.
5. a kind of heeling condition risk early warning device for high-risk shade tree according to claim 1, is characterized in that, the note receiving end number that user can be specified by the self-defined increase and decrease of systemic-function button.
6. a kind of heeling condition risk early warning device for high-risk shade tree according to claim 1, is characterized in that, device power supply is provided by built-in lithium ion battery and the circulation of external solar panel.
7. a kind of heeling condition risk early warning device for high-risk shade tree according to claim 1, is characterized in that, angle of inclination threshold values can arrange.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN201410141621.1A CN103903400A (en) | 2014-04-10 | 2014-04-10 | Inclination state danger early warning device for high-risk border tree |
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CN201410141621.1A CN103903400A (en) | 2014-04-10 | 2014-04-10 | Inclination state danger early warning device for high-risk border tree |
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CN201410141621.1A Pending CN103903400A (en) | 2014-04-10 | 2014-04-10 | Inclination state danger early warning device for high-risk border tree |
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Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105342301A (en) * | 2015-12-10 | 2016-02-24 | 成都小爱未来智慧科技有限公司 | Method for preventing intelligent water cup from toppling |
CN107256618A (en) * | 2017-07-18 | 2017-10-17 | 福建三鑫隆信息技术开发股份有限公司 | A kind of warning system and method for monitoring plant heeling condition |
CN107545715A (en) * | 2017-09-01 | 2018-01-05 | 合肥移顺信息技术有限公司 | A kind of forest is fell trees unlawfully monitoring device |
CN108151800A (en) * | 2017-12-06 | 2018-06-12 | 哈工大机器人集团重庆普耀信息产业发展有限公司 | Ancient and famous trees monitoring terminal and its monitoring method |
EP3421988A1 (en) | 2017-06-29 | 2019-01-02 | Domesens srl | Device and a method for the continuous measurement of one or more tree staticity |
CN109345764A (en) * | 2018-10-15 | 2019-02-15 | 安徽理工大学 | A kind of Rare trees remote warding device |
CN113870529A (en) * | 2021-08-23 | 2021-12-31 | 湖北工程学院 | Garden monitoring method, device and equipment for dealing with strong wind and storage medium |
US11215597B2 (en) | 2017-04-11 | 2022-01-04 | Agerpoint, Inc. | Forestry management tool for assessing risk of catastrophic tree failure due to weather events |
WO2022049552A1 (en) | 2020-09-07 | 2022-03-10 | Krebs Paysagistes Sa | Method and system for tracking, monitoring and predicting the health of a plant heritage |
WO2023006054A1 (en) * | 2021-07-29 | 2023-02-02 | The Hong Kong Polytechnic University | Tree monitoring system for urban tree management |
EP4356721A1 (en) | 2022-10-19 | 2024-04-24 | Krebs Paysagistes SA | Apparatus for monitoring a health status of a tree |
WO2024084424A1 (en) | 2022-10-19 | 2024-04-25 | Krebs Paysagistes Sa | Apparatus for monitoring a health status of a tree |
-
2014
- 2014-04-10 CN CN201410141621.1A patent/CN103903400A/en active Pending
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105342301A (en) * | 2015-12-10 | 2016-02-24 | 成都小爱未来智慧科技有限公司 | Method for preventing intelligent water cup from toppling |
US11215597B2 (en) | 2017-04-11 | 2022-01-04 | Agerpoint, Inc. | Forestry management tool for assessing risk of catastrophic tree failure due to weather events |
EP3421988A1 (en) | 2017-06-29 | 2019-01-02 | Domesens srl | Device and a method for the continuous measurement of one or more tree staticity |
CN107256618A (en) * | 2017-07-18 | 2017-10-17 | 福建三鑫隆信息技术开发股份有限公司 | A kind of warning system and method for monitoring plant heeling condition |
CN107545715A (en) * | 2017-09-01 | 2018-01-05 | 合肥移顺信息技术有限公司 | A kind of forest is fell trees unlawfully monitoring device |
CN108151800A (en) * | 2017-12-06 | 2018-06-12 | 哈工大机器人集团重庆普耀信息产业发展有限公司 | Ancient and famous trees monitoring terminal and its monitoring method |
CN109345764A (en) * | 2018-10-15 | 2019-02-15 | 安徽理工大学 | A kind of Rare trees remote warding device |
WO2022049552A1 (en) | 2020-09-07 | 2022-03-10 | Krebs Paysagistes Sa | Method and system for tracking, monitoring and predicting the health of a plant heritage |
WO2023006054A1 (en) * | 2021-07-29 | 2023-02-02 | The Hong Kong Polytechnic University | Tree monitoring system for urban tree management |
CN113870529A (en) * | 2021-08-23 | 2021-12-31 | 湖北工程学院 | Garden monitoring method, device and equipment for dealing with strong wind and storage medium |
EP4356721A1 (en) | 2022-10-19 | 2024-04-24 | Krebs Paysagistes SA | Apparatus for monitoring a health status of a tree |
WO2024084424A1 (en) | 2022-10-19 | 2024-04-25 | Krebs Paysagistes Sa | Apparatus for monitoring a health status of a tree |
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Application publication date: 20140702 |