CN210627459U - A kind of orchard intelligent hail frost disaster early warning device - Google Patents
A kind of orchard intelligent hail frost disaster early warning device Download PDFInfo
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- CN210627459U CN210627459U CN201922279046.2U CN201922279046U CN210627459U CN 210627459 U CN210627459 U CN 210627459U CN 201922279046 U CN201922279046 U CN 201922279046U CN 210627459 U CN210627459 U CN 210627459U
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- 239000002420 orchard Substances 0.000 title claims abstract description 18
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 claims abstract description 36
- 238000004891 communication Methods 0.000 claims abstract description 20
- 239000002689 soil Substances 0.000 claims description 18
- 230000006855 networking Effects 0.000 claims description 4
- 235000013399 edible fruits Nutrition 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000002265 prevention Effects 0.000 description 3
- 230000001629 suppression Effects 0.000 description 3
- 238000012351 Integrated analysis Methods 0.000 description 2
- 230000002528 anti-freeze Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007710 freezing Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000005507 spraying Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000000391 smoking effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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Abstract
一种果园智能冰雹霜冻预警装置，包含气象传感器模块，气象传感器模块通过节点MCU和LoRa无线通信模块连接，LoRa无线通信模块和LoRa基站通信，LoRa基站内设有处理器模块，LoRa基站通过物联网卡模块和服务器连接，服务器和用户手机终端连接；物联网卡模块将当地实时气象数据送至服务器；服务器从网络获取气象数据，对当地实时气象数据和网络气象数据进行综合分析判断，形成冰雹霜降预警信号，并将预警信号送至用户手机终端，给予用户以雹灾霜冻气象灾害预警提醒，本实用新型成本低，易于普及，能够自动进行雹灾、霜冻的预警。
An intelligent hail and frost early warning device for orchards, including a meteorological sensor module, the meteorological sensor module is connected with a LoRa wireless communication module through a node MCU, the LoRa wireless communication module communicates with a LoRa base station, the LoRa base station is provided with a processor module, and the LoRa base station is connected through the Internet of Things The card module is connected to the server, and the server is connected to the user's mobile phone terminal; the IoT card module sends the local real-time meteorological data to the server; the server obtains the meteorological data from the network, and comprehensively analyzes and judges the local real-time meteorological data and the network meteorological data to form hail and frost. The early warning signal is sent to the user's mobile phone terminal to give the user a hail disaster and frost meteorological disaster warning reminder. The utility model has low cost, is easy to popularize, and can automatically perform hail disaster and frost warning.
Description
Technical Field
The utility model relates to an agricultural information ization technical field, concretely relates to orchard intelligence hail disaster frost early warning device.
Background
In order to improve the yield and the quality of fruits and resist the harm of hail-suppression frost to fruit trees and fruits, hail-suppression frost-prevention equipment is used more frequently, but the existing hail-suppression frost-prevention equipment has the following defects: 1. at present, some orchards with high economic value use automatic hail-suppression frost-prevention sheds, the installation and maintenance cost of which is high, the engineering quantity is large, the technical threshold is high, the use by farmers with smaller production and operation scale is not facilitated, and the equipment popularization rate is low. 2. At present, hail suppression nets are mostly erected manually, effective weather early warning is lacked, the hail suppression nets cannot be put down in time when hails come, and fruit trees or crops are damaged and production reduction is caused. 3. The method of manual smoking, spraying and spraying antifreeze is adopted for preventing frost in an orchard, manual judgment in advance needs to be carried out according to weather forecast information, whether antifreeze measures are adopted or not is determined, and misjudgment, delay and other reasons often occur, so that the operation is not timely and frost disasters are suffered. Therefore, it is urgently needed to invent weather early warning equipment which is low in cost, high in reliability, easy to popularize, maintain and use and provides timely weather disaster early warning for users using manually operated hail-suppression and frost-prevention equipment.
Disclosure of Invention
In order to overcome above-mentioned prior art's shortcoming, the utility model aims to provide an orchard intelligence hail frost early warning device that falls, with low costs, easily popularization can carry out the early warning of hail calamity, frost automatically, in time reminds the user through cell-phone APP, guards against the meteorological disaster in advance to this early warning device also can carry out data interconnection and control it with automatic hail-suppression frost prevention canopy, realizes automatic hail-suppression frost prevention.
In order to achieve the above purpose, the utility model discloses the technical scheme who takes does:
the utility model provides an orchard intelligence hail frost early warning device, contains meteorological sensor module, and meteorological sensor module passes through node MCU and loRa wireless communication module and connects, and loRa wireless communication module and loRa base station communication are equipped with processor module in the loRa base station, and the loRa base station passes through thing networking card module and server connection, server and user mobile phone terminal connection.
The meteorological sensor module comprises an air temperature and humidity sensor, a soil moisture sensor, a soil temperature sensor and a wind speed sensor, the air temperature and humidity sensor is an SHT10 digital temperature and humidity sensor, the soil moisture sensor is an EC-5 soil moisture sensor, the soil temperature sensor is a DS18B20 digital temperature sensor, and the wind speed sensor is an NHFS 45.
The power supply module that LoRa basic station connect adopt solar cell panel + battery, 12V power supply to provide the commercial power interface.
The processor module reserves a port which can be connected with the automatic hail-suppression and frost-prevention device.
The meteorological sensor modules are arranged in an array from the center of a farmland orchard to the periphery.
The processor module uses an STM32 embedded platform.
The utility model has the advantages that:
1. the utility model discloses an early warning information is obtained by local real-time meteorological data and network meteorological information integrated analysis, realizes initiative early warning, and real-time, reliability are high.
2. The utility model utilizes solar energy power supply and wireless network communication technology, does not need extra power supply and communication line laying, and has low cost and easy deployment; the early warning information is sent to the mobile phone client of the user, so that the method is easy to use, low in user technical threshold and capable of being widely popularized.
3. The utility model discloses power module remains there is the city electrical interface, as reserve power supply means, and stability is good, ensures that hail suppression frost prevention work can be developed smoothly in the hail and frost disaster period.
4. The utility model discloses simple structure, each module part can overhaul at any time and change, and later maintenance is convenient.
5. The processor module uses an STM32 embedded platform, has strong functions, can be compatible with the existing automatic anti-freezing and anti-frost equipment, can be used as an independent early warning device, and can also be used as a controller of the automatic anti-freezing and anti-frost equipment.
Drawings
Fig. 1 is a structural frame diagram of the present invention.
Fig. 2 is the signal acquisition circuit diagram of the meteorological sensor module of the utility model.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings.
Referring to fig. 1, the intelligent hail and frost early warning device for the orchard comprises a weather sensor module, wherein the weather sensor module is connected with a LoRa wireless communication module through a node MCU (microprogrammed control Unit), the weather sensor module, the node MCU and the LoRa wireless communication module form a test node, the LoRa wireless communication module is communicated with a LoRa base station, a processor module is arranged in the LoRa base station, the LoRa base station is connected with a server through an internet of things card module, the server is connected with a user mobile phone terminal, and the internet of things card module is in data interaction with the server through the internet; the weather sensor module sends the local real-time meteorological data who gathers into node MCU, rethread loRa wireless communication module sends data transfer to the loRa basic station, processor module in the loRa basic station carries out simple preliminary treatment back to local real-time meteorological data, rethread thing networking card module sends local real-time meteorological data to the server, the server carries out the integrated analysis with local meteorological data and the regional meteorological data of network and judges, form hail frost early warning signal, and send to user mobile terminal, give the user with hail disaster frost weather calamity early warning.
Referring to fig. 2, the meteorological sensor module includes an air temperature and humidity sensor, a soil moisture sensor, a soil temperature sensor and a wind speed sensor, the air temperature and humidity sensor is an SHT10 digital temperature and humidity sensor, the soil moisture sensor is an EC-5 soil moisture sensor, and the soil temperature sensor is a DS18B20 digital temperature sensor for detecting the actual temperature of the root system soil; the wind speed sensor selects NHFS45 to measure the local wind speed; all sensor outputs link to each other with STM32F103 node MCU, and node MCU and loRa wireless communication module E22-400T22S pass through USART interface communication, and loRa wireless communication module sends data transfer to loRa basic station E90-DTU, and STM32F407 treater sends to the server through thing networking card module after preprocessing to the local meteorological data that the loRa basic station acquireed.
The power supply module that LoRa basic station connect adopt solar cell panel + battery, 12V power supply to provide the commercial power interface.
The processor module reserves a port which can be connected with the automatic hail-suppression and frost-prevention device.
The meteorological sensor modules are arranged in an array from the center of a farmland orchard to the periphery.
The processor module uses an STM32 embedded platform.
The utility model discloses a theory of operation does:
the meteorological sensor module is gathered early warning district and peripheral real-time meteorological data, and meteorological data contains: the wind speed, the soil temperature, the soil humidity, the air temperature and humidity and the real-time meteorological data are transmitted by the LoRa wireless communication module, the LoRa technology is a long-distance low-power transmission technology, compared with other communication modes, the communication distance of the LoRa is far (the town can reach 2-5 kilometers and the suburban area can reach 15 kilometers), the network reliability is high, and the power consumption is low; local real-time meteorological data are collected to a LoRa base station; the LoRa base station transmits local real-time meteorological data to the server through the Internet of things card module, the server combines the local meteorological data with network area meteorological data to perform data processing, whether meteorological disasters occur is judged, and when the processed meteorological data have conditions formed by hail frost, the server issues hail frost early warning information to the user mobile phone client.
The above description is only a preferred embodiment of the present invention, and should not be taken as limiting the invention, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. The utility model provides an orchard intelligence hail frost early warning device, contains meteorological sensor module, its characterized in that: the meteorological sensor module passes through node MCU and loRa wireless communication module and connects, and loRa wireless communication module and loRa base station communication are equipped with processor module in the loRa base station, and the loRa base station passes through thing networking card module and server connection, and server and user mobile phone terminal connect.
2. The orchard intelligence hail frost early warning device of claim 1, characterized in that: the meteorological sensor module comprises an air temperature and humidity sensor, a soil moisture sensor, a soil temperature sensor and a wind speed sensor, the air temperature and humidity sensor is an SHT10 digital temperature and humidity sensor, the soil moisture sensor is an EC-5 soil moisture sensor, the soil temperature sensor is a DS18B20 digital temperature sensor, and the wind speed sensor is an NHFS 45.
3. The orchard intelligence hail frost early warning device of claim 1, characterized in that: the power supply module that LoRa basic station connect adopt solar cell panel + battery, 12V power supply to provide the commercial power interface.
4. The orchard intelligence hail frost early warning device of claim 1, characterized in that: the processor module reserves a port which can be connected with the automatic hail-suppression and frost-prevention device.
5. The orchard intelligence hail frost early warning device of claim 1, characterized in that: the meteorological sensor modules are arranged in an array from the center of a farmland orchard to the periphery.
6. The orchard intelligence hail frost early warning device of claim 1, characterized in that: the processor module uses an STM32 embedded platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922279046.2U CN210627459U (en) | 2019-12-18 | 2019-12-18 | A kind of orchard intelligent hail frost disaster early warning device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922279046.2U CN210627459U (en) | 2019-12-18 | 2019-12-18 | A kind of orchard intelligent hail frost disaster early warning device |
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| Publication Number | Publication Date |
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| CN210627459U true CN210627459U (en) | 2020-05-26 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201922279046.2U Expired - Fee Related CN210627459U (en) | 2019-12-18 | 2019-12-18 | A kind of orchard intelligent hail frost disaster early warning device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115061407A (en) * | 2022-07-01 | 2022-09-16 | 西北农林科技大学 | A frost early warning prevention and control system and method based on the Internet of Things |
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2019
- 2019-12-18 CN CN201922279046.2U patent/CN210627459U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115061407A (en) * | 2022-07-01 | 2022-09-16 | 西北农林科技大学 | A frost early warning prevention and control system and method based on the Internet of Things |
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Granted publication date: 20200526 |