CN106375944A - Data acquisition system based on cloud computing - Google Patents

Abstract

The invention provides a data acquisition system based on cloud computing. The data acquisition system comprises an acquisition node deployed on a cloud computing system node, a wireless sensor network acquisition system and a communication manager; the acquisition node is connected with the wireless sensor network acquisition system; the acquisition node is connected with a cloud server through the communication manager; the acquisition node comprises a receiver and a transmitter; the receiver is connected with the transmitter; the receiver is connected with a data acquisition device; the transmitter is connected with the communication manager; and the wireless sensor network acquisition system is used for performing information data acquisition based on a wireless sensor network, and sending the acquired information data to the receiver of the acquisition node. By means of the data acquisition system provided by the invention, the technical problem that the existing data acquisition system is low in data acquisition efficiency and poor in real-time performance can be solved.

Description

A kind of data collecting system based on cloud computing

Technical field

The present invention relates to field of cloud computer technology is and in particular to a kind of data collecting system based on cloud computing.

Background technology

Data acquisition refers to obtain data from a system or terminal, and according to form must storing and to another be System or the process of terminal.In internet industry fast-developing today, data acquisition be widely used in the Internet and Field of distributed type, data collecting field has occurred that important change.Data acquisition in computer science according to terminal and The difference of system can carry out different demarcation, and one of which is exactly gathered data from the scattered data base of isomery, Ran Houtong One management and storage.In mobile search, need to gather substantial amounts of user data and mobile environment data, its collection has dispersion Change and two features of magnanimity.In actual life, substantial amounts of environment characteristic parameters and user characteristicses parameter need to be gathered, its collection There is real-time and the requirement of accuracy.However, in available data acquisition system, will execute above-mentioned data acquisition needs collection to set Have powerful operational capability.Even there being the data acquisition unit of powerful operational capability in prior art, also tend to need through Result could be assumed appearance by it's the long period the pasting computing, lead to less efficient, the poor real of data collecting system.

Content of the invention

For solving the above problems, the present invention is intended to provide a kind of data collecting system based on cloud computing.

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

A kind of data collecting system based on cloud computing, including being deployed in the acquisition node of cloud computing system node, wireless Sensor network acquisition system, contact manager；Described acquisition node is connected with described wireless sensor network acquisition system；Institute State acquisition node to be connected with cloud server via described contact manager；Described acquisition node includes receptor and transmitter, Described receptor is connected with described transmitter；Described receptor is connected with described data acquisition unit；Described transmitter with described Contact manager connects；Described wireless sensor network acquisition system is used for carrying out information data based on wireless sensor network Collection, and the information data of collection is sent to the receptor of described acquisition node.

Beneficial effects of the present invention: the data acquisition efficiency solving available data acquisition system is low, poor real skill Art problem, by the powerful data operation ability of cloud server, the analysis of institute's gathered data can be quickly analyzed in this data acquisition Result, it is ensured that the real time data acquisition of data collecting system, improves the efficiency of data collecting system.

Brief description

Using accompanying drawing, invention is described further, but the embodiment in accompanying drawing does not constitute any limitation of the invention, For those of ordinary skill in the art, on the premise of not paying creative work, it can also be obtained according to the following drawings Its accompanying drawing.

Fig. 1 is present configuration connection diagram；

Fig. 2 is the structural representation of wireless sensor network acquisition system.

Reference:

Wireless sensor network acquisition system 1, acquisition node 2, contact manager 3, cloud server 4, data acquisition list Unit 11, data processing unit 12, data transmission unit 13.

Specific embodiment

The invention will be further described with the following Examples.

Referring to Fig. 1, Fig. 2, the data collecting system based on cloud computing of the present embodiment, including wireless sensor network collection System 1, the acquisition node 2 being deployed in cloud computing system node, contact manager 3；Described acquisition node 2 and described wireless sensing Device Ethernet Data Acquisition System 1 connects；Described acquisition node 2 is connected with cloud server 4 via described contact manager 3；Described adopt Collection node 2 includes receptor and transmitter, and described receptor is connected with described transmitter；Described receptor and described data acquisition Device connects；Described transmitter is connected with described contact manager 3；Described wireless sensor network acquisition system 1 is used for being based on Wireless sensor network carries out the collection of information data, and the information data of collection is sent to the reception of described acquisition node 2 Device.

Preferably, described contact manager 3 includes power-supply system, and described power-supply system includes power management chip and power supply Power control module.

Preferably, described power control module includes poe power transformer and photoelectrical coupler, described power management The outfan of chip is connected with described poe power transformer input；The outfan of described photoelectrical coupler and described power supply pipe The feedback end of reason chip connects.

The data acquisition efficiency that the above embodiment of the present invention solves available data acquisition system is low, the technology of poor real Problem, by the powerful data operation ability of cloud server, the analysis knot of institute's gathered data can be quickly analyzed in this data acquisition Fruit, it is ensured that the real time data acquisition of data collecting system, improves the efficiency of data collecting system.

Preferably, described wireless sensor network acquisition system 1 includes data acquisition unit 11, data processing unit 12 and Data transmission unit 13；Described data acquisition unit 11 be used for by by the sensor node that each sensor builds cooperate into The collection of row information data, and export the information data of each sensor node collection；Described data processing unit 12 is used for each The information data of sensor node collection carries out pretreatment, to obtain effective information data；Described data transmission unit 13 is used In the transmission carrying out information data using data transmission mechanism set in advance.

Preferably, described data acquisition unit 11 includes sensor locator unit data revise subelemen；Described biography Sensor locator unit is used for carrying out sensor node localization, and the described sensor node localization that carries out specifically includes:

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

(2) coordinate of hypothesis unknown node is (x, y), and the beaconing nodes coordinate that can be in communication with is respectively (x₁, y₁), (x₂,y₂) ..., (x_n,y_n), it is the center of circle that unknown node is located at each beaconing nodes, and communication radius are the intersection of the circle of radius Domain, 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:

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

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

Described data correction subelement be used for sensor, the 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 using for sensor, ambient temperature when t uses for sensor.

This preferred embodiment achieves the accurate measurement that sensor positions data.

Preferably, described data processing unit 12 includes data filtering module data completion module, described data filtering Module is used for the information data by intelligent gateway filter false, and described Supplementing Data module is used for filling up the Information Number of loss According to；

The described information data by intelligent gateway filter false, comprising:

(1) remove the information data not falling within the effective range of sensor reading；

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

1) the sensing frequency of hypothesis all the sensors is consistent and sliding window size is a, using 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_iWhen Between t when level readings, x_jT () represents sensor s_jLevel readings in time t；

2) define 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) represent sensor s_iInitial reading behavior, μ is the adjustable variable setting, the value model of μ Enclose for [- 1,1]；

3) set total m sensor, from sensor s_iAn event query q, frequently inquired about by sensor in the past Data than those seldom by sensor s_iThe data reading and sensor s_iWith 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 in past sensor s_iFor the inquiry event query number to some themes for the q, n (q, s_i) Represent sensor s_iFor the event query sum of inquiry q, b is smoothing factor；

4) sensor s is judged using ballot method_iCurrent reading whether be false readings, set discriminant function as:

$p_i=\underset{s_j\&element;net\left(i\right)}{\&sigma;}{\mathrm{vdecision}}_j\left(i\right)\&centerdot;q_l(q,s_i)$

In formula, net (i) represents sensor s_iNeighbours' set of sensors, vdecision_jI () represents neighbours sensor s_j To sensor s_iMake and choosing in a vote, chosen two classes in a vote, a class is positive, another kind of for passive, choose in a vote for When actively, vdecision_jI ()=1, chooses in a vote as during passiveness, vdecision_j(i)=0；p_i> 0 when, represent sensor s_i Current reading be normal reading, p_i< when 0, represent sensor s_iCurrent reading be false readings.

The described information data filling up loss, comprising:

(1) carry out the clustering processing of information data using k-means clustering method；

(2) to the missing values in same class be but data filling.

It is contemplated that between sensor and neighbor node and environment during the information data of this preferred embodiment filter false Relatedness, distributes, for each sensor, the importance that a suitable weight reflects sensor by sort algorithm, and then right Sensor acquisition to data carry out accepting or rejecting filtering the abnormal data that wrong data in gatherer process and environment cause, carry The high precision filtering；Using first cluster fill up missing values afterwards by the way of fill up the information data of loss, can preferably consider The local characteristicses of data, improve the precision of data filling.

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

(1) in cluster, the data collecting is transferred to affiliated cluster within the time period of respective distribution in the way of single-hop by member Leader cluster node c_i, leader cluster node c_iIntegration process is carried out to the information data collected；

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

$cn=\left\{\begin{array}{c}{d}_{jb}<d_{ib}\\ d_{ij}<d_{ib}\\ {\mathrm{ns}}_i<{\mathrm{ns}}_j\end{array}\right\}$

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 sky, leader cluster node c_iDirectly information data is sent to base station, And jump to (6)；

(4) if only existing a ratio leader cluster node c in route candidate cluster head node set_iApart from base station closer to or remaining Higher other leader cluster nodes c of energy rank_j, then select leader cluster node c_jAs next-hop routing node, and information 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 there are multiple ratio leader cluster node c in route candidate cluster head node set_iApart from base station closer to or residual energy Other leader cluster nodes c of magnitude Bie Genggao_j, then select to make the minimum leader cluster node c of forwarding information data communication expense_jAs Next-hop routing node, and information 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 information data sending.

This preferred embodiment carries out the transmission of information data using data transmission mechanism set in advance, makes leader cluster node Dump energy distribution more equalizes, and efficiently solves relatively near or node energy farther out consumes too early apart from base station apart from 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:

Adopt different transmission means for different transmission data sizes and transmission range, definition transfer function tr:

$tr=\frac{s}{s_0}+\frac{d}{d_0}$

In formula, s is transmission data size, 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 row data communication is entered using bluetooth,

If d >=d₀And s≤s₀, then row data communication is entered using zigbee network,

If d >=d₀And s > s₀, then communicated using wifi.

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

Finally it should be noted that above example is only in order to illustrating technical scheme, rather than the present invention is protected The restriction of shield 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 kind of data collecting system based on cloud computing, is characterized in that, including the collection section being deployed in cloud computing system node Point, wireless sensor network acquisition system, contact manager；Described acquisition node and described wireless sensor network acquisition system Connect；Described acquisition node is connected with cloud server via described contact manager；Described acquisition node include receptor and Transmitter, described receptor is connected with described transmitter；Described receptor is connected with described data acquisition unit；Described transmitter It is connected with described contact manager；Described wireless sensor network acquisition system is used for entering row information based on wireless sensor network The collection of data, and the information data of collection is sent to the receptor of described acquisition node.

2. a kind of data collecting system based on cloud computing according to claim 1, is characterized in that, described contact manager Including power-supply system, described power-supply system includes power management chip and power control module.

3. a kind of data collecting system based on cloud computing according to claim 2, is characterized in that, described power control Molding block includes poe power transformer and photoelectrical coupler, the outfan of described power management chip and described poe power transformation Device input connects；The outfan of described photoelectrical coupler is connected with the feedback end of described power management chip.