CN106292611A - A kind of wisdom agricultural control system based on cloud computing - Google Patents

Abstract

The invention provides a kind of wisdom agricultural control system based on cloud computing, including agricultural data acquisition system, heater, humidifier, controller, audible-visual annunciator, described controller connects described agricultural data acquisition system, heater, humidifier, audible-visual annunciator respectively；Agricultural data is acquired by described agricultural data acquisition system based on radio sensing network；Described controller is also connected with cloud computing server, described cloud computing server and remote control terminal communication.Beneficial effects of the present invention achieves the intellectuality of agricultural management.

Description

A kind of wisdom agricultural control system based on cloud computing

Technical field

The present invention relates to intelligent agriculture management domain, be specifically related to a kind of wisdom agricultural based on cloud computing and control system System.

Background technology

Along with the development of science and technology, along with the carrying out of urbanization reform, in agricultural production process, more and more Labour force is freed, and labor cost is continuously increased, and traditional agriculture cannot further develop, and the most gradually lags behind society Development.The pressure of China's agricultural sustainable development substantially strengthens, by advancing intelligent agriculture construction, mode of accelerating agricultural development Transformation, from rely on spell resource consumption, spell the means of agricultural production put into, spell ecological environment extensive operation, as early as possible forward to focus on improve quality Come with in the intensive farming of benefit.Advance side by side promoting " new rural village of thing " and " new rural village of people " to build.Agricultural has become four Change " short slab ", advance intelligent agriculture very urgent.

Summary of the invention

For solving the problems referred to above, it is desirable to provide a kind of wisdom agricultural control system based on cloud computing.

The purpose of the present invention is achieved through the following technical solutions:

A kind of wisdom agricultural control system based on cloud computing, including agricultural data acquisition system, heater, humidifier, Controller, audible-visual annunciator, described controller connects described agricultural data acquisition system, heater, humidifier, acousto-optic report respectively Alert device；Agricultural data is acquired by described agricultural data acquisition system based on radio sensing network；Described controller is also connected with Cloud computing server, described cloud computing server and remote control terminal communication.

Beneficial effects of the present invention: achieve the intellectuality of agricultural management, by agricultural data acquisition system acquisition agricultural Agricultural data is also sent to controller by data, and controller sends a signal to cloud computing server, cloud computing server warp again Send a signal to remote control terminal after crossing process, by remote control terminal, agricultural data is informed manager, simultaneously cloud meter Calculate server and make corresponding decision, and transmit a signal to controller, controller be further transmitted to heater, humidification Device, audible-visual annunciator equipment, to improve agricultural environment.

Accompanying drawing explanation

Utilize accompanying drawing that invention is described further, but the embodiment in accompanying drawing do not constitute any limitation of the invention, For those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain it according to the following drawings Its accompanying drawing.

Fig. 1 is present configuration connection diagram；

Fig. 2 is the structural representation of agricultural data acquisition system.

Reference:

Agricultural data acquisition system 1, heater 2, humidifier 3, controller 4, audible-visual annunciator 5, cloud computing server 6, Remote control terminal 7, data acquisition unit 11, data processing unit 12, data transmission unit 13.

Detailed description of the invention

The invention will be further described with the following Examples.

See Fig. 1, Fig. 2, a kind of based on cloud computing the wisdom agricultural control system of the present embodiment, adopt including agricultural data Collecting system 1, heater 2, humidifier 3, controller 4, audible-visual annunciator 5, described controller 4 connects described agricultural data respectively and adopts Collecting system 1, heater 2, humidifier 3, audible-visual annunciator 5；Described agricultural data acquisition system 1 based on radio sensing network to agriculture Industry data are acquired；Described controller 4 is also connected with cloud computing server 6, described cloud computing server 6 and remote control terminal 7 Communication.

Preferably, described agricultural data includes CO2 concentration, temperature, intensity of illumination.

Preferably, described cloud computing server 6 is communicated with described remote control terminal 7 by wireless network.

The above embodiment of the present invention achieves the intellectuality of agricultural management, gathers agricultural by agricultural data acquisition system 1 Agricultural data is also sent to controller 4 by data, and controller 4 sends a signal to cloud computing server 6, cloud computing server again 6 send a signal to remote control terminal 7 after treatment, by remote control terminal 7, agricultural data are informed manager, simultaneously Cloud computing server 6 makes corresponding decision, and transmits a signal to controller 4, controller 4 be further transmitted to heating Device 2, humidifier 3, audible-visual annunciator 5 equipment, to improve agricultural environment.

Preferably, described agricultural data acquisition system 1 includes that data acquisition unit 11, data processing unit 12 and data pass Defeated unit 13；Described data acquisition unit 11 carries out agricultural for being cooperated by the sensor node built by each sensor The collection of data, and export the agricultural data that each sensor node gathers；Described data processing unit 12 is for each sensor The agricultural data of node collection carries out pretreatment, to obtain effective agricultural data；Described data transmission unit 13 is used for using Data transmission mechanism set in advance carries out the transmission of agricultural data.

Preferably, described data acquisition unit 11 includes sensor locator unit and data correction subelement；Described biography Sensor locator unit is used for carrying out sensor node localization, described in carry out sensor node localization and specifically include:

(1) by small part sensor node deployment on known position coordinates, as beaconing nodes, according to beaconing nodes The local coordinate system meeting domestic environment is set up in position；

(2) assume the coordinate of unknown node for (x, y), it is possible to the beaconing nodes coordinate being in communication with is respectively (x₁, y₁), (x₂,y₂) ..., (x_n,y_n), it is the center of circle that unknown node is positioned at each beaconing nodes, and communication radius is the intersection of the circle of radius Territory, takes this region any point as the pre-reconnaissance of unknown node coordinate, the difference letter of the pre-reconnaissance of unknown node coordinate to beaconing nodes Number is:

$d(x,y)={\mathrm{\Σ}}_{i=1}^n\left|\sqrt{{(x-x_i)}^2+{(x-x_i)}^2}-r_i\right|$

In formula, r_iFor the pre-reconnaissance of unknown node coordinate to (x_i,y_i) distance, i=1,2 ..., n, utilize maximal possibility estimation Method asks for the minima of this formula, is unknown node coordinate position；

Described data correction subelement for sensor Monitoring Data under non-standard environmental is modified, modifying factor Sub-σ is:

$\mathrm{\&sigma;}=\left\{\begin{array}{cc}{e}^{-\sqrt{\frac{{(T-T_0)}^2}{T^2}}},& T\&GreaterEqual;T_0\\ e^{\sqrt{\frac{T^2}{{(T-T_0)}^2}}},& T<T_0\end{array}\right.$

In formula, T₀The standard temperature used for sensor, T is ambient temperature during sensor use.

This preferred embodiment achieves the accurate measurement of sensor location and data.

Preferably, described data processing unit 12 includes data filtering module and Supplementing Data module, described data filtering Module is for by the agricultural data of intelligent gateway filter false, and described Supplementing Data module is for filling up the agriculture number of loss According to；

The described agricultural data by intelligent gateway filter false, including:

(1) agricultural data in the effective range not falling within sensor reading is removed；

(2) remaining agricultural data is carried out filtration treatment, particularly as follows:

1) assume that the sensing frequency of all the sensors is consistent and sliding window size is A, utilize Jaccard similarity function Calculate two sensor S_I、S_JSimilarity Sim (the x of reading behavior_I(t),x_J(t)), wherein x_IT () represents sensor S_ITime Between t time level readings, x_JT () represents sensor S_JLevel readings when time t；

2) definition sensor S_I、S_JInitially interim similarity be:

${\mathrm{Sim}}_L^0(I,J)=Sim\left(x_I\right(A+t),x_J(A+t\left)\right)$

The interim similarity in K+1 moment is:

${\mathrm{Sim}}_L^{K+1}(I,J)={\mathrm{\&mu;Sim}}_L^K(I,J)+\frac{1+\mathrm{\&mu;}}{2}Sim\left(x_I\right(t),x_J(t\left)\right)$

In formula, x_I(A+t) sensor S is represented_IInitial reading behavior, μ is the adjustable variable set, the value model of μ Enclose for [-1,1]；

3) total M sensor is set, from sensor S_IAn event query q, frequently inquired about by sensor in the past Data than those seldom by sensor S_IThe data read and sensor S_IHave more dependency, calculate sensor S_ISequence Grade point Q_L(q,S_I), computing formula is:

$Q_L(q,S_I)=\frac{\underset{i\&Element;\&lsqb;1,M\&rsqb;}{max}{\mathrm{Sim}}_L^{K+1}(I,J)}{{\mathrm{\&Sigma;}}_{J=1}^M{\mathrm{Sim}}_L^{K+1}(I,J)}\&times;\frac{\left|n(q,S_I)\right|}{\left|N(q,S_I)\right|+B}$

In formula, n (q, S_I) it is at past sensor S_IFor the inquiry q event query number to some themes, N (q, S_I) Represent sensor S_IFor the event query sum of inquiry q, B is smoothing factor；

4) ballot method is used to judge sensor S_ICurrent reading whether be false readings, set discriminant function as:

$P_I=\underset{S_J\&Element;net\left(I\right)}{\mathrm{\&Sigma;}}{\mathrm{VDecision}}_J\left(I\right)\&CenterDot;Q_L(q,S_I)$

In formula, net (I) represents sensor S_INeighbours' set of sensors, VDecision_j(I) neighbours sensor S is represented_J To sensor S_IMaking and choosing in a vote, chosen two classes in a vote, a class is positive, and another kind of is passive, choose in a vote into Time actively, VDecision_j(I)=1, when choosing in a vote as passiveness, VDecision_j(I)=0；P_I> 0 time, represent sensor S_I Current reading be normal reading, P_I< when 0, represent sensor S_ICurrent reading be false readings.

The described agricultural data filling up loss, including:

(1) K-means clustering method is used to carry out the clustering processing of agricultural data；

(2) to the missing values in same class but it is the filling of data.

During the agricultural data of this preferred embodiment filter false, it is contemplated that between sensor and neighbor node and environment Relatedness, is the importance that each sensor distributes that a suitable weight reflects sensor by sort algorithm, and then right Sensor acquisition to the abnormal data that data carry out accepting or rejecting the wrong data filtering in gatherer process and environment causes, carry The high precision filtered；Use first to cluster and fill up the mode of missing values afterwards and fill up the agricultural data of loss, can preferably consider The local characteristics of data, improves the precision of data filling.

In one embodiment, described data transmission mechanism set in advance includes:

Bunch (1) in member within the time period of each distribution, the data collected are transferred in the way of single-hop belonging to bunch Leader cluster node C_i, leader cluster node C_iThe agricultural data collected is carried out integration process；

(2) leader cluster node C_iOther leader cluster nodes are selected, to determine its route candidate cluster head node set CN according to following formula:

$CN=\left\{\begin{array}{c}{d}_{jB}<d_{iB}\\ d_{ij}<d_{iB}\\ {\mathrm{NS}}_i<{\mathrm{NS}}_j\end{array}\right\}$

In formula, d_iBRepresent leader cluster node C_iTo the distance of base station, d_jBRepresent leader cluster node C_jTo the distance of base station, d_ijRepresent Leader cluster node C_iTo leader cluster node C_jDistance, NS_iRepresent leader cluster node C_iDump energy rank, NS_jRepresent leader cluster node C_j Dump energy rank；

(3) if route candidate cluster head node set CN is empty, then leader cluster node C_iDirectly agricultural data is sent to base station, And jump to (6)；

(4) if route candidate cluster head node set only exists a ratio leader cluster node C_iDistance base station closer to or residue Energy rank other leader cluster nodes higher C_j, then leader cluster node C is selected_jAs down hop routing node, and agricultural data is turned Issue leader cluster node C_j, make leader cluster node C_jBecome new leader cluster node C_i, and jump back to (2)；

(5) if route candidate cluster head node set exists multiple ratio leader cluster node C_iDistance base station closer to or residual energy Magnitude other leader cluster nodes the most higher C_j, then the leader cluster node C making to forward agricultural data communication overhead minimum is selected_jAs Down hop routing node, and agricultural data is transmitted to leader cluster node C_j, make leader cluster node C_jBecome new leader cluster node C_i, and Jump back to (2)；

(6) base station receives leader cluster node C_iThe agricultural data sent.

This preferred embodiment uses data transmission mechanism set in advance to carry out the transmission of agricultural data, makes leader cluster node Dump energy distribution more equalizes, and relatively closely or distance base station node energy farther out consumes too early to efficiently solve distance base station Complete problem, thus extend the life cycle of whole data transmission network.

In another embodiment, described data transmission mechanism set in advance includes:

Transmit size of data for difference and use different transmission means with transmission range, definition transfer function Tr:

$Tr=\frac{S}{S_0}+\frac{D}{D_0}$

In formula, S is transmission size of data, S₀For data transfer size cut off value, S₀=1MB, D are transmission range, D₀For passing Defeated distance cut off value, D₀=10m；

If D is < D₀, then use bluetooth to carry out data communication,

If D >=D₀And S≤S₀, then use zigbee network to carry out data communication,

If D >=D₀And S > S₀, then WIFI is used to communicate.

This preferred embodiment is achieving agricultural data low energy consumption, the communication of two-forty.

Last it should be noted that, above example is only in order to illustrate technical scheme, rather than the present invention is protected Protecting the restriction of scope, although having made to explain to the present invention with reference to preferred embodiment, those of ordinary skill in the art should Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention Matter and scope.

Claims (3)

1. a wisdom agricultural control system based on cloud computing, is characterized in that, including agricultural data acquisition system, heater, Humidifier, controller, audible-visual annunciator, described controller connects described agricultural data acquisition system, heater, humidification respectively Device, audible-visual annunciator；Agricultural data is acquired by described agricultural data acquisition system based on radio sensing network；Described control Device is also connected with cloud computing server, described cloud computing server and remote control terminal communication.

A kind of wisdom agricultural control system based on cloud computing the most according to claim 1, is characterized in that, described agricultural number According to including CO2 concentration, temperature, intensity of illumination.

A kind of wisdom agricultural control system based on cloud computing the most according to claim 2, is characterized in that, described cloud computing Server is by wireless network and described remote control terminal communication.