CN109905473A - It is a kind of that system and method is monitored based on the IPv6 and PM2.5 of context aware - Google Patents
It is a kind of that system and method is monitored based on the IPv6 and PM2.5 of context aware Download PDFInfo
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Abstract
The present invention discloses a kind of based on the IPv6 and PM2.5 of context aware monitoring system, including mist server, cloud platform, mobile intelligent terminal and several PM2.5 sensor nodes, wherein, each PM2.5 sensor node is used to acquire the PM2.5 data of present position, and mobile intelligent terminal acquires user context data；Mist server receives the PM2.5 data that each PM2.5 sensor node is sent and the user context data that each mobile intelligent terminal is sent and is pre-processed, if pretreated data are more than threshold value, warning message then is sent to specific mobile intelligent terminal, pretreated data are also based on IPv6 protocol forward to cloud platform by mist server；Cloud platform specifically monitors the PM2.5 air quality grade and geographical distribution situation of region specific time for comprehensive assessment, and is sent to mobile intelligent terminal.Such system can provide instant alarming, advantageously reduce sensitive population by the potential threat of PM2.5 air pollution.Invention additionally discloses the PM2.5 monitoring methods of a kind of IPv6 and context aware.
Description
Technical field
It is the present invention relates to environmental monitoring technology field, in particular to a kind of to be monitored based on the IPv6 and PM2.5 of context aware
System and method.
Background technique
91 countries, 1600 cities are covered in World Health Organization's publication " global air pollution database in 2016 ", only
12% resident living is in the city for meeting World Health Organization's air quality level；About half population is exposed at least than generation
Tissue recommended levels are defended to be higher by under 2.5 times of air pollution.The subtle object of PM2.5 refers to that equivalent diameter is less than or equal to 2.5 microns
Particulate matter, have that area is big, activity is strong, easy band harmful substances such as heavy metal, microorganism.PM2.5 is air quality index
Important reference indicator is easy to cause acute upper respiratory infection, acute tracheobronchitis and pneumonia, asthma attack, to PM2.5
Sensitive population, such as have the old man of heart or pulmonary disease, infants and children early warning, have to raising air quality and human health
It is significant.
Chinese publication number 108645768A, publication date 2018-10-12, entitled " a kind of PM2.5 remote sense monitoring system,
Monitoring model method for building up and monitoring method ", a kind of PM2.5 remote sense monitoring system, including PM2.5 monitoring device, remote sensing are disclosed
Data acquisition facility, model generate processor, memory, PM2.5 computation processor and display device.The patent of invention energy according to
The air environment information that the remotely-sensed data acquisition device being mounted in satellite, unmanned plane or other aerial devices obtains is to larger model
The region to be measured enclosed carries out PM2.5 calculating.
Chinese publication number 106887130A, publication date 2017-6-23, a kind of entitled " wireless PM2.5 monitoring of LoRa
Device ", including main control MCU, PM2.5 dust sensor, LoRa wirelessly transferred chip, compatible with GPS positioning chip.Patent of invention master
To be carried out data transmission by means of LoRaWAN network, mechanism for monitoring be uploaded and be sent to by the base station LoRa, for differentiating environment
Mass change.The above method not can effectively solve the safety of data transmitting, privacy concern, not refer to alarm mechanism, rely on monitoring
Mechanism goes to judge environmental quality.
Chinese publication number 107727544A, publication date 2018-2-23, the entitled " vehicular based on Beidou position
PM2.5 real-time monitoring system ", including monitoring server and multiple monitoring terminals with monitoring server communication connection, wherein supervising
Survey terminal be arranged on corresponding monitoring vehicle, monitoring terminal by power supply unit, PM2.5 concentration detecting unit, Beidou positioning and
Time service unit, 4G communication unit and main control unit composition, power supply unit are PM2.5 concentration detecting unit, Beidou positioning and time service
Unit, 4G communication unit and main control unit power supply, concentration detecting unit, Beidou positioning and time service unit and communication unit with master
Unit communication connection is controlled, 4G communication unit also passes through public mobile communications network and server computer communicates to connect.But it monitors
Terminal 4G communication power consumption is big, is confined to the public transports range coverage such as coach, taxi, bus, does not refer to prison
Survey the treatment process of server end.
Based on above description, PM2.5 monitoring system and method still belongs to weaker field, fails to effectively serve in population close
Collect region and PM2.5 sensitive population.Since IPv6 has abundant address resource, Address Autoconfiguration and mobile support etc. excellent
Point can provide independent IP address for low-power consumption PM2.5 sensor node, calculate in conjunction with mist and be located at network edge advantage and use
Family context aware, provides instant alarming, and being more advantageous to reduces sensitive population by the potential threat of PM2.5 air pollution.
Summary of the invention
The purpose of the present invention is to provide the PM2.5 monitoring system and method for a kind of IPv6 and context aware, uses object
Networking, Beidou positioning, mist calculates and the technologies such as IPv6, plays the advantages such as Address Mobility, high security, user context perception,
Expand PM2.5 and monitor place freedom, improves monitoring coverage rate, improve the accuracy alarmed to sensitive group, it is empty to reduce PM2.5
The potential threat of gas pollution.
In order to achieve the above objectives, solution of the invention is:
It is a kind of that system, including mist server, cloud platform, intelligent movable end are monitored based on the IPv6 and PM2.5 of context aware
End and several PM2.5 sensor nodes, wherein each PM2.5 sensor node is used to acquire the PM2.5 data of present position, moves
Dynamic intelligent terminal acquires user context data；Mist server receives the PM2.5 data and each shifting that each PM2.5 sensor node is sent
The user context data that dynamic intelligent terminal is sent simultaneously are pre-processed, if pretreated data are more than threshold value, to specific
Mobile intelligent terminal sends warning message, and pretreated data are also based on IPv6 protocol forward to cloud platform by mist server；
Cloud platform specifically monitors the PM2.5 air quality grade and geographical distribution situation of region specific time for comprehensive assessment, concurrently
It send to mobile intelligent terminal.
A kind of PM2.5 monitoring method based on IPv6 and context aware, includes the following steps:
Step S1, PM2.5 sensor node acquires PM2.5 data；
Step S2, mobile intelligent terminal are carried by user, connect mist server nearby, are registered normal in user context data
Attribute data is advised, and acquires motion state attribute and position data in user context data；
Step S3, mist server is based on lightweight IPv6 agreement and collects PM2.5 data, and is collected based on wireless WIFI mode
User context data；
Step S4, mist server is to the PM2.5 generating date received and is sent to cloud platform, if being more than threshold value
Early warning is sent to specific mobile intelligent terminal according to user context；
Step S5, cloud platform store the PM2.5 data that mist server is sent, and assess the specific region specific time
PM2.5 air quality grade, and it is sent to mobile intelligent terminal.
After adopting the above scheme, the present invention compares tradition PM2.5 monitoring system (or method) with context aware using IPv6
There is following advantage:
(1) PM2.5 sensor node can guarantee the address IPv6 in whole life cycle and complete PM2.5 monitoring process
Uniqueness；
(2) there is transmission data stabilization using IPv6 agreement, guarantees the safety of user context data；
(3) the lightweight IPv6 agreement based on LoRaWAN, has the characteristics that low in energy consumption, long transmission distance, good portability；
(4) the characteristics of mist server is located at edge network is played, according to user context data, to PM2.5 sensitive population energy
And alarm；
(5) cloud platform is given full play to the storage, processing, analysis and decision of PM2.5 monitoring data as a result, can comprehensive assessment
The PM2.5 air quality grade and geographical distribution situation of specific monitoring region specific time.
Detailed description of the invention
Fig. 1 is integrated stand composition of the invention；
Fig. 2 is architecture diagram of the invention.
Specific embodiment
Below with reference to attached drawing, technical solution of the present invention and beneficial effect are described in detail.
As shown in Figure 1, the present invention provide it is a kind of based on the IPv6 and PM2.5 of context aware monitoring system, including it is several
PM2.5 sensor node, mist server, cloud platform and mobile intelligent terminal, wherein each PM2.5 sensor node is responsible for acquisition
The PM2.5 data of present position, mobile intelligent terminal acquire user context data, and mist server collects PM2.5 data, user's feelings
Border data and be more than threshold value instant alarming after pre-processing, and pretreated data are based on IPv6 protocol forward to cloud platform,
Comprehensive assessment specifically monitors the PM2.5 air quality grade and geographical distribution situation that region specifically monitors the region specific time.It moves
Dynamic intelligent terminal connects mist server, receives instant alarming information, and mobile intelligent terminal is also obtained by cloud platform accurate
PM2.5 warning information and geographical distribution situation.Therefore, all PM2.5 sensor nodes, the mist server, Yun Ping in this system
Platform and mobile intelligent terminal all support IPv6 agreement.
The PM2.5 sensor node, comprising: main control MCU unit (using model STM32L031 singlechip chip),
PM2.5 concentration detecting unit (using Plantower company PMS3003 laser particle object sensor) supports lightweight IPv6 association
View LoRaWAN communication unit (using Semtech company SX1278), dipper system positioning unit (are based on using leading to core star
The UM220-III N locating module of Humbird) and power supply unit (individual battery modules are mounted on move vehicle, unmanned plane
Power supply module), power supply unit is main control MCU unit, PM2.5 concentration detecting unit, supports that lightweight IPv6 agreement LoRaWAN is logical
Believe unit, the power supply of dipper system positioning unit；PM2.5 concentration detecting unit supports lightweight IPv6 agreement LoRaWAN communication unit
Member, dipper system positioning unit respectively with main control MCU unit serial communication.Each PM2.5 concentration detecting unit is by collected number
It is transferred to main control MCU unit according to by serial ports, is transmitted data to based on support lightweight IPv6 agreement LoRaWAN communication unit
Mist server.PM2.5 sensor node protocol stack uses LoRa physical layer, LoRa link layer, LoRAWAN logic chain the bottom of to upwards
Road control and adapting protocol, IPv6 protocol stack.
The mist server is located at edge network, is merged using integrated LoRaWAN module 10 channel RHF0M301 and WIFI
Received sensing data is uniformly processed according to predefined IPv6 data packet format for gateway, realizes that data are unpacked, compress and divided
Piece fusion treatment, the access of external network and data forwarding；It is connect based on IPv6 agreement with cloud platform.In specific implementation, mist
Server uses Cortex A8 processor chips, 250G Byte solid state hard disk, (SuSE) Linux OS Xen VMM, Convergence gateway
(LoRaWAN, WIFI), 10M/100M network interface card connects cloud platform by 10M/100M network interface card.The protocol stack bottom of to uses LoRa upwards
Physical layer, LoRa link layer, LoRaWAN logic link control and adapting protocol, IPv6 protocol stack；WIFI protocol stack is upward the bottom of to
Using physical layer, link layer and IPv6 protocol stack.
In the present embodiment, mist server includes sensor management module, PM2.5 concentration data extraction module, user's feelings
Border extraction module, rule management, rale activation device and alarm module, wherein sensor management module is responsible for managing and be found
PM2.5 sensor node and mobile intelligent terminal；PM2.5 concentration data extraction module, user context extraction module are collected respectively
PM2.5 data and user context (General Properties, motion state attribute and position) data；Rule management storage < General Properties,
Motion state attribute, position, PM2.5 concentration threshold > formal rule；Rale activation device is responsible for real-time PM2.5 data and user
Rule match in context data and rule management controls alarm module if rule match success and passes through cloud platform to sensitivity
User sends instant alarming information.
The cloud platform uses virtualization technology, physical layer, link layer, IPv6 protocol stack is supported, in conjunction with IP address, geography
Distribution, Beidou position and timestamp, comprehensive assessment specifically monitor the PM2.5 air quality grade and geography point of region specific time
Cloth situation.Assessment result is transmitted to mobile intelligent terminal directly or by mist server by cloud platform, sends location to user
Domain PM2.5 distributed intelligence and time trend.
The mobile intelligent terminal is carried by user, acquires mould comprising the user context for acquiring user context data
Block, for establishing the wireless communication module that communicate with mist server, cloud platform and being used for display alarm information, region PM2.5
The LCD display of the information such as distributed intelligence and time trend, wherein mobile intelligent terminal is based on using wireless WIFI mode
IPv6 agreement is connect with edge mist server, for sending user context data to mist server, and receives the transmission of mist server
Warning message；Mobile intelligent terminal is based on IPv6 agreement using wireless WIFI mode and communicates with cloud platform foundation, for receiving
The assessment information such as region PM2.5 monitoring data, 24 hours trend that cloud platform is sent；User context acquisition module includes normal
Advise attribute acquisition module, motion state attribute acquisition module and station acquisition module, wherein motion state attribute acquisition module packet
Accelerometer, direction sensor and gyroscope are included, for judging human motion state attribute: walking, running, static, climbing；Position
Setting acquisition module includes GPS chip, for determining the position where user；General Properties acquisition module is used to acquire the year of user
Whether whether age gender, height, weight, be heart and lung diseases patient and be pregnant woman.
Overall architecture shown in FIG. 1, the PM2.5 network system based on IPv6 is by using IPv6 technology than based on LoRa's
PM2.5 network has stronger support mobility, security feature and routing characteristic.
The architecture diagram of Fig. 2 display systems, comprising: sensing layer, mist layer and cloud layer.
(1) sensing layer: including PM2.5 sensor node and mobile intelligent terminal.PM2.5 sensor node acquires PM2.5
Concentration data carries out concentration monitor (full-size 50 × 43 × 21) to 1.0-10 microns of diameter of pellet；It moves
Dynamic intelligent terminal acquires user context data.
(2) mist layer: including sensor management module, PM2.5 concentration data extraction module, user context extraction module, rule
Then manager, rale activation device and alarm module.Wherein, sensor management module is used for and each PM2.5 sensor node and shifting
The communication of dynamic intelligent terminal；PM2.5 concentration data extraction module, user context extraction module collect PM2.5 data and use respectively
Family situation, the user context data include General Properties, motion state attribute and position data；Rule management storage < often
Advise attribute, motion state attribute, position, PM2.5 concentration threshold > formal rule；Rale activation device be responsible for real-time PM2.5 data and
The rule match stored in user context data and rule management, by alarm module to specific if rule match success
Sensitive users send instant alarming information.
(3) cloud layer: including the assessment of PM2.5 gas level and PM2.5 time location analysis module.Based on big data processing block
The analysis of frame MapReduce technology assesses PM2.5 gas level according to IP address, Beidou position and timestamp；Meta position when PM2.5
Set the distribution situation that analysis module analyzes specific time particular geographic location.
Sensitive population obtains intelligent alert from edge mist server by mobile intelligent terminal；It is obtained from cloud platform
The geographical distribution of PM2.5 and change over time trend.
Cooperate Fig. 1, the PM2.5 monitoring method based on IPv6 and context aware that the present invention also provides a kind of, including walks as follows
It is rapid:
Step S1 is mounted on the PM2.5 sensor node acquisition PM2.5 of move vehicle, unmanned plane or other aerial devices
Data；
Step S2, user carry mobile intelligent terminal, register the routine in user context data by mobile intelligent terminal
Attribute data, while mobile intelligent terminal can obtain the motion state attribute of user and the location information at place in real time；
Step S3, mist server collect the PM2.5 data of PM2.5 sensor node acquisition based on lightweight IPv6 agreement,
And the user context data from mobile intelligent terminal are collected based on wireless WIFI mode；
Step S4, mist server is to the PM2.5 generating date received and is sent to cloud platform, if being more than threshold value,
Then directly sent to mobile intelligent terminal to sensitive population (heart and lung diseases patient or old man, children) according to user context data
Warning message；
Step S5, cloud platform store and process the PM2.5 data that mist server is sent, according to IP geology by geography
Distribution, time relationship carry out comprehensive analysis, and assess the PM2.5 air quality grade of specific region specific time: excellent, 0-35 is micro-
Gram/cubic metre；It is good, 35-75 microgram/cubic meter；Slight pollution, 75-115 microgram/cubic meter；Intermediate pollution, 115-150 are micro-
Gram/cubic metre；Serious pollution, 115-250 microgram/cubic meter；It is serious to pollute, it is more than 250 micrograms/cubic meter；
Step S6, mobile intelligent terminal are connect with cloud platform, receive PM2.5 air quality grade, geographical distribution and time
The information such as variation tendency.
The particular content of above-mentioned steps S1 is:
The power supply booting of step S11, PM2.5 sensor node；
Step S12, main control MCU unit send the request that networks to mist server by LoRaWAN wireless sensing chip, pass through
LoraWAN adaptation layer and nearest mist server establish lightweight IPv6 agreement, are successfully connected；PM2.5 sensing after being successfully connected
Device node has unique address IPv6, i.e., is made of global route prefix, subnet identifier and interface identifier, use is ill-mannered
State automatically configures；48 addresses LoRaWan are divided into first 24 and latter 24,16 0xFFFE of centre addition, to constitute 64
Interface identifier；
Step S13, mist server are sent to main control MCU unit by IPv6 agreement and are instructed, driven by main control MCU unit
PM2.5 concentration detecting unit reads PM2.5 data；
Step S14, by being encapsulated into data-message packet, main control MCU to PM2.5 concentration, Beidou location information and timestamp
Unit sends acquisition data to mist server.
In above-mentioned steps S2, gateway module built in mist server is based on the multiple PM2.5 sensor sections of lightweight IPv6 connection
Point is based on IPv6 connection cloud platform by 10M/100M network interface card.
In above-mentioned steps S2, user carries mobile intelligent terminal, registers user context General Properties data, detailed process is such as
Under:
Step S21, mobile intelligent terminal power supply booting；
Step S22, mobile intelligent terminal connect mist server by WIFI nearby, register user's General Properties, including year
Age, gender, height, weight, whether be heart and lung diseases patient, whether pregnant woman.
Step S23, the mobile intelligent terminal of user obtain accelerometer, direction sensor, gyroscope and GPS chip acquisition
Data, determine motion state attribute (walking, running, static, climbing) and position information of user；
In above-mentioned steps S4, mist server is to the PM2.5 generating date received and is sent to cloud platform, is more than threshold
Value directly sends warning message to specific mobile intelligent terminal according to user context, and detailed process is as follows:
Step S41, mist server is to PM2.5 data space-time registration process；
Step S42, in conjunction with user context, according to<General Properties, motion state attribute, position, PM2.5 concentration threshold>shape
The judgement of formula rule sends warning message to specific mobile intelligent terminal, specific mobile intelligent terminal refers to if being more than threshold value
User is heart and lung diseases patient or old man, children, pregnant woman, the warning message of transmission are as follows: blue, 41-65 microgram/cubic meter；
Yellow, 66-150 microgram/cubic meter；It is orange, 150-250 microgram/cubic meter；Red, more than 250 micrograms/cubic meter.
Above-mentioned steps treated PM2.5 data are based on IPv6 protocol forward to cloud platform by step S43, mist server.
The above examples only illustrate the technical idea of the present invention, and this does not limit the scope of protection of the present invention, all
According to the technical idea provided by the invention, any changes made on the basis of the technical scheme each falls within the scope of the present invention
Within.
Claims (10)
1. a kind of monitor system based on the IPv6 and PM2.5 of context aware, it is characterised in that: including mist server, cloud platform, shifting
Dynamic intelligent terminal and several PM2.5 sensor nodes, wherein each PM2.5 sensor node is used to acquire the PM2.5 of present position
Data, mobile intelligent terminal acquire user context data；Mist server receives the PM2.5 number that each PM2.5 sensor node is sent
According to the user context data sent with each mobile intelligent terminal and pre-processed, if pretreated data are more than threshold value,
Warning message is sent to specific mobile intelligent terminal, pretreated data are also based on IPv6 protocol forward and arrived by mist server
Cloud platform；Cloud platform specifically monitors the PM2.5 air quality grade and geographical distribution feelings of region specific time for comprehensive assessment
Condition, and it is sent to mobile intelligent terminal.
2. as described in claim 1 a kind of based on the IPv6 and PM2.5 of context aware monitoring system, it is characterised in that: described
PM2.5 sensor node includes main control MCU unit, PM2.5 concentration detecting unit, supports that lightweight IPv6 agreement LoRaWAN is logical
Believe that unit, dipper system positioning unit and power supply unit, power supply unit are main control MCU unit, PM2.5 concentration detecting unit, branch
Hold lightweight IPv6 agreement LoRaWAN communication unit, the power supply of dipper system positioning unit；PM2.5 concentration detecting unit is supported gently
Magnitude IPv6 agreement LoRaWAN communication unit, dipper system positioning unit respectively with main control MCU unit serial communication.
3. as described in claim 1 a kind of based on the IPv6 and PM2.5 of context aware monitoring system, it is characterised in that: described
Mist server is located at edge network, and built-in LoRaWAN and WIFI Convergence gateway supports lightweight IPv6 agreement and bottom
The seamless interfacing of LoRaWAN agreement is based on the multiple PM2.5 sensor nodes of lightweight IPv6 connection.
4. as described in claim 1 a kind of based on the IPv6 and PM2.5 of context aware monitoring system, it is characterised in that: described
Mist server include sensor management module, PM2.5 concentration data extraction module, user context extraction module, rule management,
Rale activation device and alarm module, wherein sensor management module is used for and each PM2.5 sensor node and mobile intelligent terminal
Communication；PM2.5 concentration data extraction module, user context extraction module collect PM2.5 data and user context data respectively,
The user context data include General Properties, motion state attribute and position data；Rule management storage < General Properties,
Motion state attribute, position, PM2.5 concentration threshold > formal rule；Rale activation device is used for real-time PM2.5 data and user
The rule match stored in context data and rule management is moved by alarm module to specific if rule match success
Dynamic intelligent terminal sends instant alarming information.
5. as claimed in claim 4 a kind of based on the IPv6 and PM2.5 of context aware monitoring system, it is characterised in that: described
Mobile intelligent terminal includes user context acquisition module, and user context acquisition module includes General Properties acquisition module, movement shape
State attribute acquisition module and station acquisition module, wherein motion state attribute acquisition module includes accelerometer, direction sensor
And gyroscope, for judging human motion state attribute: walking, running, static, climbing；Station acquisition module includes GPS core
Piece, for acquiring the position where user；General Properties acquisition module be used to acquire age of user, gender, height, weight,
Whether it is heart and lung diseases patient and whether is pregnant woman.
6. a kind of PM2.5 monitoring method based on IPv6 and context aware, it is characterised in that include the following steps:
Step S1, PM2.5 sensor node acquires PM2.5 data；
Step S2, mobile intelligent terminal are carried by user, connect mist server nearby, register the conventional category in user context data
Property data, and acquire motion state attribute and position data in user context data；
Step S3, mist server is based on lightweight IPv6 agreement and collects PM2.5 data, and collects user based on wireless WIFI mode
Context data；
Step S4, mist server is to the PM2.5 generating date received and is sent to cloud platform, the basis if being more than threshold value
User context sends early warning to specific mobile intelligent terminal；
Step S5, cloud platform store the PM2.5 data that mist server is sent, and assess the specific region specific time
PM2.5 air quality grade, and it is sent to mobile intelligent terminal.
7. a kind of PM2.5 monitoring method based on IPv6 and context aware as claimed in claim 6, it is characterised in that: described
In step S1, PM2.5 sensor node acquires PM2.5 data, and detailed process is as follows:
The power supply booting of step S11, PM2.5 sensor node；
Step S12, main control MCU unit send the request that networks to mist server by LoRaWAN wireless sensing chip, pass through
LoRaWAN adaptation layer and mist server establish lightweight IPv6 agreement, are successfully connected；
Step S13, mist server are sent to main control MCU unit by IPv6 agreement and are instructed, driven by main control MCU unit
PM2.5 concentration detecting unit reads PM2.5 data；
PM2.5 data, Beidou location information and timestamp are encapsulated into data-message packet by step S14, and main control MCU unit is to mist
Server sends acquisition data.
8. a kind of PM2.5 monitoring method based on IPv6 and context aware as claimed in claim 6, it is characterised in that: described
In step S2, detailed process is as follows for the General Properties data in registration user context data:
Step S21A, mobile intelligent terminal power supply booting；
Step S22A, mobile intelligent terminal connect mist server by WIFI nearby, register user's General Properties, including the age,
Gender, height, weight, whether be heart and lung diseases patient, whether pregnant woman.
9. a kind of PM2.5 monitoring method based on IPv6 and context aware as claimed in claim 6, it is characterised in that: described
In step S2, mobile intelligent terminal acquires the detailed process of motion state attribute and position data in user context data such as
Under:
Step S21B, mobile intelligent terminal acquire the motion state category of user by accelerometer, direction sensor and gyroscope
Property: walking, running, static, climbing；
Step S22B, mobile intelligent terminal acquire the position where user by GPS chip.
10. a kind of PM2.5 monitoring method based on IPv6 and context aware as claimed in claim 6, it is characterised in that: described
In step S4, mist server is to the PM2.5 generating date received, according to user context to specific if being more than threshold value
Mobile intelligent terminal sends early warning, and detailed process is as follows:
Step S41, mist server carry out space-time alignment pretreatment to PM2.5 data；
Step S42, according to<General Properties, motion state attribute, position, the judgement of PM2.5 concentration threshold>formal rule, if
PM2.5 data are more than PM2.5 concentration threshold, send warning message to specific mobile intelligent terminal, specific intelligent movable is whole
End refers to that user is heart and lung diseases patient or old man, children, pregnant woman, the warning message of transmission are as follows: blue, 41-65 microgram/vertical
Square rice；Yellow, 66-150 microgram/cubic meter；It is orange, 150-250 microgram/cubic meter；Red, more than 250 micrograms/cubic meter.
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| CN111277679A (en) * | 2020-04-02 | 2020-06-12 | 安徽农业大学 | Wireless sensor network communication method based on LoRaWAN and IPv6 protocol |
| CN111579450A (en) * | 2020-04-21 | 2020-08-25 | 泛测（北京）环境科技有限公司 | Method and equipment for monitoring particulate pollution in air environment |
| CN111693822A (en) * | 2020-06-23 | 2020-09-22 | 西安重冶电控科技有限公司 | Electrical equipment line fault detection system based on cloud platform |
| CN115189913A (en) * | 2020-12-18 | 2022-10-14 | 支付宝(杭州)信息技术有限公司 | Data message transmission method and device |
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| CN111693822A (en) * | 2020-06-23 | 2020-09-22 | 西安重冶电控科技有限公司 | Electrical equipment line fault detection system based on cloud platform |
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| CN115189913B (en) * | 2020-12-18 | 2024-01-05 | 支付宝(杭州)信息技术有限公司 | Data message transmission method and device |
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