CN105867239A - Internet of Things front-end device with gas sensor and farm supervision method - Google Patents
Internet of Things front-end device with gas sensor and farm supervision method Download PDFInfo
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- CN105867239A CN105867239A CN201610261737.8A CN201610261737A CN105867239A CN 105867239 A CN105867239 A CN 105867239A CN 201610261737 A CN201610261737 A CN 201610261737A CN 105867239 A CN105867239 A CN 105867239A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24215—Scada supervisory control and data acquisition
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Abstract
Provided are an Internet of Things front-end device with a gas sensor and a farm supervision method. The front-end device comprises the gas sensor, an image collecting module, a microprocessor and a storage module, wherein the gas sensor is used for obtaining gas information; the image collecting module is used for obtaining image information; and the microprocessor is connected with the gas sensor and the image collecting module and used for processing the gas information and the image information so as to obtain processing results; and the storage module is connected with the gas sensor, the image collecting module and the microprocessor and used for storing the collected gas information, the image information and the processing results. Besides an image sensor capable of collecting image data or other sensors, a collecting device in the Internet of Things front-end device is further provided with the gas sensor for collecting gas concentration, and the gas sensor is used to detect harmful gas and timely inform relevant workers of removing the harm so as to reduce farm losses.
Description
Technical field
The present invention relates to technology of Internet of things field, particularly relate to a kind of thing with gas sensor
Networking headend equipment and farm monitoring and managing method.
Background technology
Population increases, Urbanization Progress, and agricultural is integrated, and farm is also to large-scale development.Family
The cultivation of specialized corporation farm is the most gradually moved towards in front yard cultivation.Farmer is not limited solely to support
Growing the animal of a kind of kind, farm may cultivate many animals, such as pig, cattle, sheep simultaneously
Deng.The number of cultivation does not the most only have trivial several heads, can reach thousand of head and raise simultaneously.?
Farm has the supervisory systems of some modernizations to help people to manage farm, general farm meeting quilt
Being divided into several region, a monitoring equipment can be installed in each region.Farm supervisory systems knot
Composition is as it is shown in figure 1, be made up of computer digital animation center and some monitoring equipments.Prison
Tube apparatus can be with image collecting function headend equipment, is used for gathering animal feeding situation.
The data collected are transferred to computer digital animation center processing by monitoring equipment.Management personnel
Can be at computer digital animation center, the data that monitoring equipment is collected carry out real-time monitoring
It is analyzed with to data.
If there being a farm to be divided into three regions, each region has been raised different respectively
Animal, has pig, cattle, sheep.As in figure 2 it is shown, and be assembled with band respectively in three regions
The front end monitoring equipment of image collecting function, supervises the raising situation in each region.Supervision sets
Standby 1 supervision pig district, cultivates pig 20；Monitoring equipment 2 supervises Yang Qu, cultivates sheep 30；
Monitoring equipment 3 supervises cattle district, cultivates cattle 10.Staff passes through computer data center
The video data sent of monitor viewing front end monitoring equipment.If it find that monitoring equipment 2 passes
Defeated return video show that certain sheep is sick, then this sheep is cured by management personnel.Sending out
There is a lot of artificial factor of judgment during existing sheep is sick, occur that the probability of erroneous judgement is big,
And the probability being just found in the sick early stage of sheep is the least, typically when the condition of illness of sheep is obvious
Just can be found, and such monitoring has real-time, if management personnel are not the most on post,
Then the process to these data has omission, causes damage.Although this sheep is cured, but
The harmful gas concentration that its most sick reason is possibly due to Yang Qu is too high, has exceeded raising
The normal concentration of sheep, and it is sick to result in this sheep, traditional monitoring system is to distinguish these
Cause.Also should clear up timely the feces in Yao Duiyang district except this sheep is cured, keep away
Exempt from that other sheep is the most sick or this sheep is the most sick, find out the cause of disease, and nothing owing to lacking corresponding means
Method makes effective preventive measure, often results in greater loss farm.These situations are all agricultures
Field is not main wanted to see that.
Summary of the invention
In view of the above problems, the application describes a kind of Internet of Things front end with gas sensor
Equipment and farm monitoring and managing method, described headend equipment includes:
Gas sensor, in order to obtain gas information；
Image capture module, in order to obtain image information；
Microprocessor, is connected with described gas sensor and described image capture module respectively,
In order to process to obtain result to described gas information and described image information；
Memory module, respectively with described gas sensor, image capture module and described micro-place
Reason device module be connected, in order to store the described gas information collected, described image information and
Described result.
It is also preferred that the left described memory module includes:
Program storage unit, is connected with described microprocessor, in order to deposit described gas information
The operation sequence that processes is carried out with described image information；
Background storage unit, is connected with described microprocessor, in order to deposit background data；
Data storage unit, respectively with described gas sensor and described image capture module phase
Even, in order to deposit described gas information and described image information；
Wherein, described microprocessor transfers described background data pair from described background storage unit
Described gas information and described image information carry out processing to obtain described result.
It is also preferred that the left described memory module is Large Copacity embedded non-volatile memory.
It is also preferred that the left described gas information includes gas type information and the gas of each type gas
Bulk concentration information；Described background data includes normal range and the image abnormity letter of gas concentration
Breath.
It is also preferred that the left described headend equipment also includes communication module, described communication module is micro-with described
Processor is connected, in order to described result to be sent.
The method that present invention also offers a kind of Internet of Things headend equipment supervision farm, described method
Including step:
Utilize the detecting, region each in farm by gas of Internet of Things headend equipment timing
Body sensor obtains gas information and/or the image information in each region；
Described gas information and/or described image information are transferred to described Internet of Things headend equipment
Microprocessor in；
Described microprocessor is deposited from background according to described gas information and/or described image information
Unit is transferred corresponding background data；
Whether described microprocessor judges some region of gas concentration according to described background data
It is the most abnormal higher than normal range and/or described image information, if described concentration is higher than normal model
Enclose or during described image information exception, described gas information or described image information are processed
To obtain result, and described result is uploaded onto the server；Otherwise, do not process.
It is also preferred that the left arrange described headend equipment, described headend equipment in each region on farm
The region at its place is detected.
It is also preferred that the left the described headend equipment of regional is sequentially connected with by communication module, described
After result is transferred to, by described communication module, the headend equipment being connected with described server,
It is transferred in described server by this headend equipment.
It is also preferred that the left described headend equipment is arranged on the running gear on agricultural bank roof, described operation
Device runs according to certain track and speed.
It is also preferred that the left described running gear is mini train or the unmanned machine with track.
Technique scheme has the advantage that or beneficial effect: the Internet of Things front end of the present invention sets
Collecting device in Bei is except having the imageing sensor that can gather view data or other sensings
Outside device, also with the gas sensor of gas concentration can be gathered, detect harmful gas, and
Notify that related personnel gets rid of harm in time, reduce the loss to farm.
Accompanying drawing explanation
With reference to appended accompanying drawing, more fully to describe embodiments of the invention.But, appended
Accompanying drawing is merely to illustrate and illustrates, is not intended that limitation of the scope of the invention.
Fig. 1 is supervision structural representation in farm in prior art；
Fig. 2 is the use state signal of monitoring equipment in regional in farm in prior art
Figure；
Fig. 3 is that in a kind of Internet of Things headend equipment with gas sensor of the present invention, front end sets
Standby structural representation；
Fig. 4 is storage mould in a kind of Internet of Things headend equipment with gas sensor of the present invention
The structural representation of block；
Fig. 5 is the flow chart one of the method on the present invention a kind of Internet of Things headend equipment supervision farm；
Fig. 6 be the present invention a kind of Internet of Things headend equipment supervision farm method in headend equipment
Use view；
Fig. 7 be the present invention a kind of Internet of Things headend equipment supervision farm method in be arranged on nothing
The structural representation of the headend equipment on people's driving machine；
Fig. 8 be the present invention a kind of Internet of Things headend equipment supervision farm method in mini train or
The travel route figure of unmanned machine.
Detailed description of the invention
Thing with gas sensor a kind of to the present invention with specific embodiment below in conjunction with the accompanying drawings
Networking headend equipment and farm monitoring and managing method are described in detail.
The present embodiment provide firstly a kind of Internet of Things headend equipment with gas sensor, should
Equipment includes gas sensor, image capture module, microprocessor and memory module.Wherein,
Gas sensor obtains gas information, and image capture module obtains image information.Microprocessor divides
Be not connected with described gas sensor and described image capture module, to described gas information and
Described image information carries out processing to obtain result.Additionally, memory module is respectively with described
Gas sensor, image capture module and described microprocessor module are connected, and are used for storing institute
The information such as the gas information collected, described image information and described result.
It is worthy of note, described memory module includes four unit: program storage unit, the back of the body
Scape storage unit, data storage unit and vacant memory element.Wherein, program storage unit
It is connected with described microprocessor, in order to deposit, described gas information and described image information is carried out
The operation sequence processed；Background storage unit is connected with described microprocessor, in order to deposit background
Data；Data storage unit, respectively with described gas sensor and described image capture module
It is connected, in order to deposit described gas information and described image information；Vacant storage unit is as depositing
Storage space, does not the most deposit anything.The most operationally, microprocessor is from described background
Storage unit is transferred described background data described gas information and described image information are entered
Row processes to obtain described result.In simple terms, the background deposited in background storage unit
Data, include normal range and the image abnormity information of gas concentration.When microprocessor obtains
After having taken gas information or image information, according to background data, these data are compared place
Reason, obtains result.
Finally, described headend equipment also includes communication module, described communication module and described micro-place
Reason device is connected, in order to described result to be sent.
Additionally, in the present embodiment, it is also proposed that a kind of Internet of Things headend equipment supervision farm
Method.In the method, first have to utilize the timing of Internet of Things headend equipment to each in farm
Region is detected, and is obtained gas information and/or the image in each region by gas sensor
Information, before being then transferred to described Internet of Things by described gas information and/or described image information
In the microprocessor of end equipment.Finally, described microprocessor according to described gas information and/or
Described image information transfers corresponding background data from background storage unit, and according to the described back of the body
Whether the some region of gas concentration of scape data judging is higher than normal range and/or described image letter
Breath is the most abnormal.If described concentration is higher than normal range or described image information exception, to institute
State gas information or described image information carries out processing to obtain result, and by described process
Result uploads onto the server；Otherwise, do not process.Last result, by described logical
After news module is transferred to the headend equipment being connected with described server, this headend equipment it is transferred to
In described server.It is worthy of note, in the present embodiment, can be in each district on farm
Territory all arranges headend equipment, and specifies a headend equipment to be connected with server, all of before
End equipment can be passed the information on to this server successively by coupled headend equipment.
Only running gear can also be set for roof on farm, dispose a front end to set in running gear
Standby, by circulation all regions are detected, it becomes possible to realize the monitoring to whole farm.
Structure chart as shown in Figure 3, be used to supervise farm with gas sensor Internet of Things
The basic block diagram of net headend equipment.At least by data acquisition equipment, communication module, controller
Or and processor, the headend equipment of Large Copacity embedded non-volatile memory composition.Data acquisition
Collection equipment can be made up of the sensor of gas collecting function and image collecting function, or also may be used
To increase the data acquisition equipment composition of other function.Communication module is used for receiving or transmitting number
According to.Large Copacity embedded non-volatile memory can have phase transition storage (PCM), magnetic to deposit
Reservoir (MRAM) etc..It can be divided into four parts, as shown in Figure 4: (1) program is deposited
Put unit, the region of deposit operation system program.(2) background storage unit, prestore with
The Detailed background knowledge data that headend equipment place application scenarios is correlated with is as background knowledge storehouse.Ratio
As housed the background knowledge data of the harmful gas concentration detected of gas sensor, such as
The background knowledge data of concentration of methane gas, the background knowledge of density of carbon dioxide gas.Permissible
It is used for judging that some gas can endanger farm in the no short time；Or housing imageing sensor claps
Take the photograph status image during animals got sick, status image when such as farm cattle, sheep, pig are sick
Background knowledge data etc..Can be used to discriminate whether that animal dis is in health problem.(3) data
Storage unit, deposits the data that data acquisition equipment collects.(4) vacant memory element, does not has
There is the storage part depositing any data.Owing to jumbo embedded non-volatile memory has
Having the highest memory space, the background knowledge data that can comprise in application scenarios are known as background
Know storehouse.In Large Copacity embedded non-volatile memory, the background knowledge data of storage are the most,
Then the Internet of Things front end sensors equipment data to collecting process the most intelligent.Controller or and place
Reason device first pre-sets one section of set time collection data, such as per half an hour, or each is little
Time gather a secondary data.Then data data acquisition equipment gathered, and Large Copacity is embedded
The background knowledge Data Comparison prestored in nonvolatile memory.Such as, find that harmful gas is tight
Heavily threaten the health problem of animal, or find that inflammable gas reaches explosive concentration, or find
Certain animal the most sick many time, can record in time and pass through communication module, be transferred to spy
Fix the number of workers processes.It processes the flow process of data as shown in Figure 5.First, embedded at Large Copacity
Nonvolatile memory prestores the Detailed background of this data acquisition equipment related application scene
Knowledge information data, after data acquisition equipment collects data, microprocessor is the number gathered
Doing specific lookup computing according to the background knowledge data that prestore, then microprocessor is according to result
Make respective response operation.
Name several instantiation to be further elaborated:
By actual being applied in farm of the present invention, as shown in Figure 6, You Jiuge district, this farm
Territory, has been respectively mounted 9 and has arrived with gas sensor Internet of Things headend equipment, headend equipment 1
Headend equipment 9.At least Large Copacity embedded non-volatile storage of each headend equipment
Device, microprocessor, communication module and data acquisition equipment, as shown in Figure 7.Wherein the first number
It is the equipment having and gathering farm gas function according to collecting device, such as gas sensor；Second number
It is the equipment having and gathering farm-animals image function according to collecting device, such as image capture module.With
Time according to the application of serial structure Internet of Things, this headend equipment 1 is by bluetooth and headend equipment 2
Communication, headend equipment 2 is communicated with headend equipment 3 by bluetooth, the like, headend equipment
9 pass through communication module and server communication.If headend equipment 1 supervision is the region raised pigs,
What headend equipment 2 was supervised is the region of sheep raising, and what headend equipment 3 was supervised is the region of cowboying,
Remaining headend equipment has supervised the region raising other animal.It is every that first data acquisition equipment is set
Within 20 minutes, gathering a secondary data, data equipment 2 every five seconds for example clock gathers a secondary data.
When the first data acquisition equipment in headend equipment 1 collects concentration of methane gas 68%,
In the gas background knowledge data prestored in Large Copacity embedded non-volatile memory, have one
Bar concentration of methane gas more than 60% can the background knowledge data of initiation fire, due to methane be by
The feces of animal produces, it is therefore desirable to cleaning feces.When the microprocessor of headend equipment 1 mates
During to these data, this scene capture is got off by the second data acquisition equipment, and microprocessor is to scheme
The form of picture is also equipped with the related text of cleaning feces, the instruction of cleaning feces, passes through bluetooth
Being sent to headend equipment 2,2 data received of headend equipment are transmitted to front end by bluetooth
Equipment 3.The like, this instruction has been uploaded to service by headend equipment 9 by wireless network
Device, is informed management personnel by server, and the feces in the region at headend equipment 1 place needs clear
Reason.
When the first data acquisition equipment in headend equipment 2 collects sulfureted hydrogen gas concentration
30%, the gas background knowledge data prestored in Large Copacity embedded non-volatile memory
In, there is a sulfureted hydrogen gas concentration can make the body constitution sick background knowledge of sheep on the weak side more than 15%
Data, owing to hydrogen sulfide is to be produced by the feces of animal, it is therefore desirable to cleaning feces.Simultaneously
Two data acquisition equipments collect the sick image background knowledge number on the ground of droping to the ground of sheep
According to, when the microprocessor of headend equipment 2 matches sulfureted hydrogen gas concentration data and sheep is sick
During image background knowledge data, microprocessor can in the form of images and be equipped with cleaning feces phase
Close word, the instruction cleaning feces and the instruction to sick sheep treatment, sent by bluetooth
To headend equipment 3,3 data received of headend equipment are transmitted to headend equipment by bluetooth
4.The like, this instruction has been uploaded to server by headend equipment 9 by wireless network,
Informed management personnel by server, feces in the region at headend equipment 2 place need cleaning and
Sick sheep needs to cure.
For farmer, it is possible to use the fewest headend equipment helps to supervise farm, just
Can preferably reduce the spending on farm, reduce cost.The present invention can be arranged on room, farm
On mini train on top, farm subregion as shown in Figure 8, sets mini train on roof, farm
Travel route is that culturing area 1 arrives culturing area 3 to culturing area 2, culturing area 2, depends on
Secondary analogizing, mini train can pass through wireless network and server communication, it is possibility to have people directly from
Data are taken out on mini train.The headend equipment being arranged on mini train, with shown in Fig. 7, has one
Large Copacity embedded non-volatile memory, microprocessor, communication module and data acquisition equipment,
Wherein the first data acquisition equipment is the equipment having and gathering farm gas function；Second data acquisition
Collection equipment is the equipment having and gathering farm-animals image function.If what culturing area 2 was raised is
Sheep, what culturing area 5 was raised is pig, and what culturing area 7 was raised is cattle, remaining culturing area
Raise other animal.Mini train is set and once gathers regional by route running per half an hour
Data.When mini train drives to culturing area 5, and the first data acquisition equipment collects hydrogen sulfide
Gas concentration 30%, the gas background prestored in Large Copacity embedded non-volatile memory is known
Knowing in data, the background of pig health is known to have a sulfureted hydrogen gas concentration to influence whether more than 18%
Know data, owing to hydrogen sulfide is to be produced by the feces of animal, it is therefore desirable to cleaning feces.When little
When the microprocessor of the headend equipment on train matches these data, the second data acquisition equipment will
Image at that time under this scene capture, microprocessor in the form of images and is equipped with cleaning feces
Related text, the instruction of cleaning feces, by wireless network, this instruction is sent to service
Device.Informed that management personnel, the feces of culturing area 5 need cleaning by server.
The present invention can also be arranged on unmanned machine use, helps user to supervise farm.Agriculture
The subregion of field and travel route are with shown in Fig. 8, from culturing area 1 to culturing area 2, cultivation
Culturing area 3 is arrived in region 2, the like, unmanned machine can pass through wireless network kimonos
Business device communication, it is possibility to have data are directly taken out from unmanned plane by people.It is arranged on unmanned
Headend equipment on machine with shown in Fig. 7, have a Large Copacity embedded non-volatile memory,
Microprocessor, communication module and data acquisition equipment, wherein the first data acquisition equipment is to have
Gather the equipment of farm gas function；Second data acquisition equipment is to have collection farm-animals image
The equipment of function.If what culturing area 2 was raised is sheep, what culturing area 5 was raised is pig,
What culturing area 7 was raised is cattle, and remaining culturing area raises other animal.Arrange unmanned
Every 20 minutes of aircraft is once gathered data by route running.When UAV drives to support
Growing region 7, the first data acquisition equipment collects concentration of methane gas 64%, embedding at Large Copacity
Enter in the gas background knowledge data prestored in formula nonvolatile memory, have a methane gas
Concentration is more than the background knowledge data of 60% meeting initiation fire, owing to methane is by the feces of animal
Produce, it is therefore desirable to cleaning feces.Microprocessor when the headend equipment on UAV
When matching these data, this scene capture is got off by the second data acquisition equipment, microprocessor
In the form of images and be equipped with cleaning feces related text, cleaning feces instruction, pass through
This instruction is sent to server by wireless network, server inform management personnel, culturing area
Feces in 7 needs cleaning.
By above-mentioned citing, it is right to do with the traditional system structure of use after using the present invention
Ratio, is described in table 1 below:
The function contrast of table 1 present invention invention and traditional system
| Use the present invention | Use traditional system structure | |
| Speed | Hurry up | Slowly |
| Cost | Low | High |
As seen from Table 1, the application of the invention can find what farm existed effectively, efficiently
Potential threat, and eliminate danger in time, it is also possible to reduce cost for user.Make in the present invention
Large Copacity embedded non-volatile memory can also be that Large Copacity stand alone type is non-volatile
Memorizer.
If the user feels that each panel region all loads onto the way that headend equipment monitors on farm
Appoint right cost high, then to have only to load onto a headend equipment on mini train or unmanned plane, this
Sample is the cost of farmer by much lower, saves a no small spending.If but used
Headend equipment there is no jumbo storage device, the number that data acquisition equipment can be collected
Also it is can according to being transmitted back to the method for rear end cloud data center contrast or matching operation to do data
With.
For a person skilled in the art, after reading described above, various changes and modifications
Will be apparent to undoubtedly.Therefore, appending claims should be regarded as and contains the true of the present invention
Sincere figure and whole variations and modifications of scope.In Claims scope any and all etc.
The scope of valency and content, be all considered as still belonging to the intent and scope of the invention.
Claims (10)
1. the Internet of Things headend equipment with gas sensor, it is characterised in that described
Headend equipment includes:
Gas sensor, in order to obtain gas information；
Image capture module, in order to obtain image information；
Microprocessor, is connected with described gas sensor and described image capture module respectively,
In order to process to obtain result to described gas information and described image information；
Memory module, respectively with described gas sensor, image capture module and described micro-place
Reason device module be connected, in order to store the described gas information collected, described image information and
Described result.
Internet of Things headend equipment with gas sensor the most according to claim 1,
It is characterized in that, described memory module includes:
Program storage unit, is connected with described microprocessor, in order to deposit described gas information
The operation sequence that processes is carried out with described image information；
Background storage unit, is connected with described microprocessor, in order to deposit background data；
Data storage unit, respectively with described gas sensor and described image capture module phase
Even, in order to deposit described gas information and described image information；
Wherein, described microprocessor transfers described background data pair from described background storage unit
Described gas information and described image information carry out processing to obtain described result.
Internet of Things headend equipment with gas sensor the most according to claim 2,
It is characterized in that, described memory module is Large Copacity embedded non-volatile memory.
Internet of Things headend equipment with gas sensor the most according to claim 3,
It is characterized in that, described gas information includes gas type information and the gas of each type gas
Bulk concentration information；Described background data includes normal range and the image abnormity letter of gas concentration
Breath.
Internet of Things headend equipment with gas sensor the most according to claim 1,
It is characterized in that, described headend equipment also includes communication module, and described communication module is micro-with described
Processor is connected, in order to described result to be sent.
6. the method on an Internet of Things headend equipment supervision farm, it is characterised in that described side
Method includes step:
Utilize the detecting, region each in farm by gas of Internet of Things headend equipment timing
Body sensor obtains gas information and/or the image information in each region；
Described gas information and/or described image information are transferred to described Internet of Things headend equipment
Microprocessor in；
Described microprocessor is deposited from background according to described gas information and/or described image information
Unit is transferred corresponding background data；
Whether described microprocessor judges some region of gas concentration according to described background data
It is the most abnormal higher than normal range and/or described image information, if described concentration is higher than normal model
Enclose or during described image information exception, described gas information or described image information are processed
To obtain result, and described result is uploaded onto the server；Otherwise, do not process.
The way on Internet of Things headend equipment the most according to claim 6 supervision farm, its
It is characterised by, described headend equipment, described headend equipment pair are set in each region on farm
The region at its place is detected.
The way on Internet of Things headend equipment the most according to claim 7 supervision farm, its
Being characterised by, the described headend equipment of regional is sequentially connected with by communication module, described place
After reason result is transferred to, by described communication module, the headend equipment being connected with described server, by
This headend equipment is transferred in described server.
The method on Internet of Things headend equipment the most according to claim 6 supervision farm, its
Being characterised by, described headend equipment is arranged on the running gear on agricultural bank roof, and described operation fills
Put and run according to certain track and speed.
The method on Internet of Things headend equipment the most according to claim 9 supervision farm, its
Being characterised by, described running gear is mini train or the unmanned machine with track.
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| CN108009936A (en) * | 2017-10-31 | 2018-05-08 | 四川农业大学 | Pest and disease monitoring system based on internet of things |
| CN109847230A (en) * | 2019-03-20 | 2019-06-07 | 王浩 | A kind of basement safety fire fighting system |
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| CN203745857U (en) * | 2013-11-22 | 2014-07-30 | 北京农业信息技术研究中心 | Livestock breeding management system |
| CN104216447A (en) * | 2014-09-05 | 2014-12-17 | 丹阳市联创畜牧养殖有限公司 | Intelligent monitoring system for livestock house |
| CN205161497U (en) * | 2015-07-18 | 2016-04-20 | 吉林农业大学 | Standardized intelligent monitoring system that breeds of rabbit based on thing networking |
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| CN108009936A (en) * | 2017-10-31 | 2018-05-08 | 四川农业大学 | Pest and disease monitoring system based on internet of things |
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