CN106980145A - A kind of meteorological data collection and predictor sent based on raspberry - Google Patents
A kind of meteorological data collection and predictor sent based on raspberry Download PDFInfo
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- CN106980145A CN106980145A CN201710173667.5A CN201710173667A CN106980145A CN 106980145 A CN106980145 A CN 106980145A CN 201710173667 A CN201710173667 A CN 201710173667A CN 106980145 A CN106980145 A CN 106980145A
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- China
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- raspberry
- low energy
- sent based
- data collection
- sensor module
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
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- Environmental & Geological Engineering (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Ecology (AREA)
- Environmental Sciences (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The invention discloses a kind of meteorological data collection and predictor sent based on raspberry, the invention belongs to internet of things field, including a data processing node and at least one data acquisition node, data acquisition node with data processing node by being wirelessly connected；Wherein data acquisition node includes Bluetooth Low Energy SoC modules and the GPS module, power module, temperature humidity sensor module, gas pressure sensor module and the wind sensor module that are connected with Bluetooth Low Energy SoC modules；The data processing node is raspberry distribute leaflets member.The present invention has cost low, and data analysis capabilities are strong, the advantages of scalability is high.
Description
Technical field
The present invention relates to Internet of Things field, more particularly to a kind of meteorological data collection and predictor sent based on raspberry.
Background technology
Traditional small-sized weather station is widely used in meteorological, agricultural, influence of the meteorological change of detection to crops, science pipe
Manage farmland planting, small-sized weather station is the special equipment of bureau of agriculture, the Chinese Academy of Sciences, clay fertilizer station, institution of higher learning, be adapted to standard good farmland,
Water-saving irrigation project etc..Collection meteorological element is simultaneously attached by supporting data acquisition connection with computer, by data
It is transferred in weather computer meteorogical phenomena database, for statistical analysis and processing.This kind of special small-sized weather station often price
It is high, and data processing must use computer, and supporting professional software mandate expense is also higher, the cost phase of overall plan
Work as height.Also having some small-sized weather stations to provide basic meteorological data collection and display function in addition, there is provided to there is certain demand
Personal user, but only basic function, it is impossible to carry out the analysis of meteorological data.
The content of the invention
For above-mentioned deficiency, the present invention provides a kind of meteorological data collection and predictor sent based on raspberry.
The technical solution adopted in the present invention is as follows：A kind of meteorological data collection and predictor sent based on raspberry, bag
Include a data processing node and at least one data acquisition node, data acquisition node by wirelessly with data processing node phase
Even；Wherein data acquisition node include Bluetooth Low Energy SoC modules and be connected with Bluetooth Low Energy SoC modules GPS module,
Power module, temperature humidity sensor module, gas pressure sensor module and wind sensor module；The data processing node is tree
Certain kind of berries distribute leaflets member.
Further, the GPS module provides the geographical location information of acquisition node.
Further, Bluetooth Low Energy (BLE) agreement is used between Bluetooth Low Energy Soc modules and raspberry the distribute leaflets member
Communicated.
Further, the temperature humidity sensor module can monitoring of environmental humiture, and it is low to output signal to bluetooth in real time
Power consumption Soc modules.
Further, the gas pressure sensor module can monitoring of environmental air pressure size, and it is low to output signal to bluetooth in real time
Power consumption Soc modules.
Further, the wind sensor module can detect wind direction and wind-force size in real time, and output signal to bluetooth
Low-power consumption Soc modules.
Further, the Bluetooth Low Energy Soc modules use nRF51822 chips.
Beneficial effects of the present invention are as follows：The meteorological data collection and predictor of the present invention sent based on raspberry,
Personal computer is replaced as processing unit as a result of raspberry group, reduces cost, and raspberry group and other microcomputers
Calculation machine is compared, and has more rich software environment and stronger data analysis capabilities, either from ease for use, scalability, property
Energy aspect is all more strengthened, it is easy to carry out customization of individual character.
Brief description of the drawings
Fig. 1 is the part and communication scheme of data acquisition node；
Fig. 2 is the part and communication scheme of data processing node；
Fig. 3 is the Star Network schematic diagram of multiple data acquisition nodes and data processing node composition.
Embodiment
The present invention is described further below in conjunction with the accompanying drawings.
As shown in figure 1, a kind of meteorological data collection and predictor sent based on raspberry, including a data processing node
With at least one data acquisition node, data acquisition node with data processing node by being wirelessly connected；Wherein data acquisition section
Point includes Bluetooth Low Energy SoC modules and the GPS module being connected with Bluetooth Low Energy SoC modules, power module, humiture are passed
Sensor module, gas pressure sensor module and wind sensor module；The data processing node is raspberry distribute leaflets member.
The power module uses 5V alkaline batteries, but not limited to this.
The GPS module (1) provides the geographical location information of acquisition node, and the GPS module preferentially uses NEO-M8N moulds
Block, using UART serial communication modes, but not limited to this.
Communicated between Bluetooth Low Energy Soc modules and raspberry the distribute leaflets member using Bluetooth Low Energy (BLE) agreement.
The temperature humidity sensor module can monitoring of environmental humiture, and output signal to Bluetooth Low Energy Soc moulds in real time
Block；The temperature humidity sensor module preferentially uses SHT11 Temperature Humidity Sensors, and its power supply is powered using button cell, including
One resistance-type sensing unit and a NTC temperature element, once transmit 40 data, and a high position first goes out, itself and the low work(of the bluetooth
Consumption SoC modules are communicated using two-wire serial digital interface, and DATA line external pull-up resistor adds between power supply and ground
100nF decoupling capacitors；Clock line SCK is used for the communication synchronization between SoC and SHT11.
The gas pressure sensor module can monitoring of environmental air pressure size, and output signal to Bluetooth Low Energy Soc moulds in real time
Block.The gas pressure sensor module preferentially uses the SMP280 pressure sensors of BOSCH companies, and absolute precision can reach
0.2Pa, power consumption is extremely low, is encapsulated using 8-pin, can transmit data by I2C and spi bus.
The wind sensor module can detect wind direction and wind-force size in real time, and output signal to Bluetooth Low Energy Soc
Module.The wind sensor module preferentially uses Miniature magnetic sensor type airspeedometer, and air velocity is converted into electric signal, has
There is the characteristics of supply voltage is low.
The 2.4GHz of BLE agreements RF transceiver is supported in the Bluetooth Low Energy Soc modules piece, software programmable is defeated
Go out power, with ADC, SPI, UART part.The Bluetooth Low Energy SoC modules preferentially use nRF51822 chips, with low
Power consumption kernel, integrated level is high, the advantage such as small volume.As shown in Figure 1, communicated by UART serial ports with GPS module；Pass through two wires
Serial digital interface and temperature humidity sensor module are communicated；Communicated by spi bus and gas pressure sensor module；It is logical
The analog electrical signal for crossing ADC collection wind sensor output is communicated.By supporting Bluetooth Low Energy (BLE)
2.4GHz RF transceivers send processing unit to communicate with raspberry.
Such as accompanying drawing 2, the raspberry distribute leaflets member is received after data, and the algorithm for weather forecast is using naive Bayesian
Sorting algorithm, is specifically such as divided into fine, cloudy, cloudy, rain, respectively with w1, w2, w3, w4 is represented by weather；Humidity is divided into 1,2,
3 grades are expressed as h1, h2, h3；Temperature is divided into 1,2,3 grades and is expressed as t1, t2, t3；Air pressure is divided into 1,2,3 grades and is expressed as p1,
p2,p3.According to the statistical theory of naive Bayesian, using the temperature being collected into, humidity, air pressure, wind-force as influence weather because
Element, and assume that they are orthogonal, classified according to priori result, predicted the weather so as to reach.The raspberry distribute leaflets
Member can be by the way of smtp (Simple Mail Transfer protocol) server be built, by Ethernet or wireless network by data and in advance
Survey result timing and the mailbox that user specifies is sent to by mail.
Such as accompanying drawing 3, multiple data acquisition nodes can constitute Star Network with data processing node.With data processing node
Centered on, parallel information transfer can be carried out by Bluetooth Low Energy agreement and each data acquisition node.
Claims (7)
1. a kind of meteorological data collection and predictor sent based on raspberry, it is characterised in that including a data processing node
With at least one data acquisition node, data acquisition node with data processing node by being wirelessly connected；Wherein data acquisition section
Point includes Bluetooth Low Energy SoC modules and the GPS module being connected with Bluetooth Low Energy SoC modules, power module, humiture are passed
Sensor module, gas pressure sensor module and wind sensor module；The data processing node is raspberry distribute leaflets member.
2. the meteorological data collection and predictor according to claim 1 sent based on raspberry, it is characterised in that described
GPS module provides the geographical location information of acquisition node.
3. the meteorological data collection and predictor according to claim 1 sent based on raspberry, it is characterised in that the indigo plant
Communicated between tooth low-power consumption Soc modules and raspberry distribute leaflets member using Bluetooth Low Energy (BLE) agreement.
4. the meteorological data collection and predictor according to claim 1 sent based on raspberry, it is characterised in that the temperature
Moisture sensor module can monitoring of environmental humiture, and output signal to Bluetooth Low Energy Soc modules in real time.
5. the meteorological data collection and predictor according to claim 1 sent based on raspberry, it is characterised in that the gas
Pressure sensor module can monitoring of environmental air pressure size, and output signal to Bluetooth Low Energy Soc modules in real time.
6. the meteorological data collection and predictor according to claim 1 sent based on raspberry, it is characterised in that the wind
Force snesor module can detect wind direction and wind-force size in real time, and output signal to Bluetooth Low Energy Soc modules.
7. the meteorological data collection and predictor according to claim 1 sent based on raspberry, it is characterised in that the indigo plant
Tooth low-power consumption Soc modules use nRF51822 chips.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710173667.5A CN106980145A (en) | 2017-03-22 | 2017-03-22 | A kind of meteorological data collection and predictor sent based on raspberry |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710173667.5A CN106980145A (en) | 2017-03-22 | 2017-03-22 | A kind of meteorological data collection and predictor sent based on raspberry |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106980145A true CN106980145A (en) | 2017-07-25 |
Family
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| CN201710173667.5A Pending CN106980145A (en) | 2017-03-22 | 2017-03-22 | A kind of meteorological data collection and predictor sent based on raspberry |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107831687A (en) * | 2017-10-26 | 2018-03-23 | 天津大学 | A kind of meteorological detection robot control system |
| CN108594330A (en) * | 2017-12-28 | 2018-09-28 | 南京信息工程大学 | Automatic meteorological data monitoring system based on Cloud Server |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120215446A1 (en) * | 2011-02-18 | 2012-08-23 | Ford Global Technologies, Llc | Crowdsourced Weather Data Collection and Provision |
| CN205404848U (en) * | 2016-02-24 | 2016-07-27 | 武汉大学 | Many meteorological sensor data collection systems based on raspberry group |
| CN105954814A (en) * | 2016-04-21 | 2016-09-21 | 象辑知源（武汉）科技有限公司 | Portable meteorological monitoring system |
| CN205643750U (en) * | 2015-11-20 | 2016-10-12 | 日电（中国）有限公司 | A device for monitoring environment |
-
2017
- 2017-03-22 CN CN201710173667.5A patent/CN106980145A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120215446A1 (en) * | 2011-02-18 | 2012-08-23 | Ford Global Technologies, Llc | Crowdsourced Weather Data Collection and Provision |
| CN205643750U (en) * | 2015-11-20 | 2016-10-12 | 日电（中国）有限公司 | A device for monitoring environment |
| CN205404848U (en) * | 2016-02-24 | 2016-07-27 | 武汉大学 | Many meteorological sensor data collection systems based on raspberry group |
| CN105954814A (en) * | 2016-04-21 | 2016-09-21 | 象辑知源（武汉）科技有限公司 | Portable meteorological monitoring system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107831687A (en) * | 2017-10-26 | 2018-03-23 | 天津大学 | A kind of meteorological detection robot control system |
| CN108594330A (en) * | 2017-12-28 | 2018-09-28 | 南京信息工程大学 | Automatic meteorological data monitoring system based on Cloud Server |
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Application publication date: 20170725 |