CN106485620A - A kind of Dormitory management system based on cloud computing - Google Patents
A kind of Dormitory management system based on cloud computing Download PDFInfo
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- CN106485620A CN106485620A CN201610890480.2A CN201610890480A CN106485620A CN 106485620 A CN106485620 A CN 106485620A CN 201610890480 A CN201610890480 A CN 201610890480A CN 106485620 A CN106485620 A CN 106485620A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The invention discloses a kind of Dormitory management system based on cloud computing, including management and control center, cloud computing server and intelligent terminal, described management and control center is connected by the Internet with cloud computing server, and described cloud computing server is used for receiving and store the real time data at management and control center；Described intelligent terminal is connected by wireless network with cloud computing server and shows described real time data.Beneficial effects of the present invention are：By arranging management and control center, cloud computing server and intelligent terminal it is achieved that managing to the items of dormitory, the efficiency of management is high, and improves the safety of dormitory.
Description
Technical field
Cloud computing technology application of the present invention is and in particular to a kind of Dormitory management system based on cloud computing.
Background technology
Existing Dormitory management system lacks convenience, conjunction for the inefficiency of dormitory management, the dormitory life of student
Rationality, in order to improve the safety of dormitory it is necessary to dormitory is carried out with some ambient parameter monitorings and warning and prevention.
Content of the invention
For the problems referred to above, the present invention is intended to provide a kind of Dormitory management system based on cloud computing.
The purpose of the present invention employs the following technical solutions to realize：
A kind of Dormitory management system based on cloud computing, including management and control center, cloud computing server and intelligent terminal,
Described management and control center is connected by the Internet with cloud computing server, and described cloud computing server is used for receiving and stores in management and control
The real time data of the heart；Described intelligent terminal is connected by wireless network with cloud computing server and shows described real time data；
Described management and control center includes the ammeter control module of the use for each dormitory ammeter electricity of monitor in real time, is used for place is detected
House smokescope is too high, starts the Smoke Sensor module of warning function, is used for controlling opening of the illuminating lamp in corridor and room
The lighting control module closing, the temperature sensor being used for detecting dormitory temperature anomaly, the pyroelectricity for testing staff's invasion pass
Sensor, the imageing sensor for view data in the case of acquisition abnormity.
Beneficial effects of the present invention are：By arranging management and control center, cloud computing server and intelligent terminal it is achieved that to place
Every management of house, the efficiency of management is high, and improves the safety of dormitory.
Brief description
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, on the premise of not paying creative work, can also obtain according to the following drawings
Other accompanying drawings.
Fig. 1 is the structure connection diagram of the present invention；
Fig. 2 is the structure connection diagram of the security protection detection device of the present invention.
Reference：
Management and control center 1, cloud computing server 2, intelligent terminal 3, security protection detection device 4, alarm 5, scan module
11st, image processing module 12, background subtraction module 13, human region detection module 14, concealment Articles detecting module 15.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, the Dormitory management system based on cloud computing of the present embodiment, including management and control center 1, cloud meter
Calculate server 2 and intelligent terminal 3, described management and control center 1 is connected by the Internet with cloud computing server 2, described cloud computing clothes
Business device 2 is used for receiving and store the real time data at management and control center 1；Described intelligent terminal 3 and cloud computing server 2 pass through wireless
Network connection simultaneously shows described real time data；Described management and control center 1 includes making for each dormitory ammeter electricity of monitor in real time
Ammeter control module, Smoke Sensor module, use for dormitory smokescope too high then startup warning function is detected
Lighting control module, the temperature sensing for detecting dormitory temperature anomaly in the switch of the illuminating lamp controlling in corridor and room
Device, the pyroelectric sensor for testing staff's invasion, the imageing sensor for view data in the case of acquisition abnormity.
Preferably, described intelligent terminal 3 includes panel computer.
Preferably, described panel computer supports 3G, 4G, WIFI network.
The above embodiment of the present invention passes through to arrange management and control center 1, cloud computing server 2 and intelligent terminal 3 it is achieved that to place
Every management of house, the efficiency of management is high, and improves the safety of dormitory.
Preferably, the described personnel also including based on the Dormitory management system of cloud computing hovering in dormitory for detection
The security protection detection device 4 of concealment article with it, described is also included in security protection based on the Dormitory management system of cloud computing
Detector 4 detect described in the alarm 5 reported to the police when hiding adventurous concealment article with the personnel that hover；Described security protection
Detector 4 wirelessly connects cloud computing server 2, and it includes：
(1) scan module 11, obtain original passive millimeter wave image for tested personnel are carried out with millimeter wave scanning；
(2) image processing module 12, obtain target image for carrying out to described original passive millimeter wave image processing；
(3) human region detection module 14：Based on described target image, by the pre- judgement that human body be whether there is, enter
Pedestrian's body region detects, obtains human region；
(4) hide Articles detecting module 15：In described human region, using Canny boundary operator and confidence interval knot
Concealment article are detected, and the concealment article region detecting are marked by the method for the mixing segmentation closed；
(5) hide item identification module, for being identified to concealment article.
This preferred embodiment devises the module architectures of security protection detection device 4 it is achieved that security protection detection device 4 is to concealment article
Detection.
Preferably, described image processing module 12 includes：
(1) binarization unit, obtains binary image, bag for described original passive millimeter wave image is carried out with binaryzation
Include：Described original passive millimeter wave image is carried out smooth area P1, transition region P2With marginal zone P3Region division, it adopts flat
Square singular value is as the measurement of region energy, and definition region division formula is：
Wherein, v (i) is the observation at pixel i in original passive millimeter wave image, and Q (i) is corresponding original passive milli
Square singular value at pixel i in metric wave image,Average for square singular value；
For smooth area P1, given threshold T1, T1For smooth area P1The meansigma methodss of all pixels gray value, by smooth area P1's
Each grey scale pixel value and threshold value T1It is compared, if being more than T1, then value is 255, and otherwise value is 0；For transition region P2With
Marginal zone P3, transition region P2With marginal zone P3In (2a+1) x (2a+1) window centered on each pixel i, a ∈ [1,3], respectively
Pixel threshold value T2(i) be defined as maximum gradation value and minimum gradation value in this pixel window and half, by transition region P2And side
Edge area P3Each grey scale pixel value and respective threshold T2I () compares, if being more than T2I (), then value is 255, and otherwise value is 0；
(2) pretreatment unit, for binary image being carried out with steady picture and denoising to obtain preliminary denoising image,
Including：
A, image steady picture subelement, for eliminating the flating that people causes in motion, including：
(1), when checked object is carried out with millimeter wave scanning, select the first two field picture as reference frame, reference frame is divided into
Three regions of non-overlapping copies 1,2,3, K represent picture traverse, G represents picture altitude, starts according to side clockwise from image upper left
To being followed successively by region 1,2,3, the size in region 1,2 is 0.5K × 0.5G, and the size in region 3 is K × 0.5G；
(2) the image center location selection area A scanning in next frame0, A0Size be chosen to be 0.5K × 0.5G, press
According to step1 method by A0It is divided into three image subblock A1、A2、A3, A1And A2For estimating the local motion in vertical direction
Vector, A3For estimating the local motion vector in horizontal direction, make A1、A2、A3Search in 1,2,3 three regions respectively
Good coupling, thus estimating the global motion vector of image sequence, then carrying out inverse motion compensation, eliminating image blurring；
B, subregion denoising subelement, for smooth area P1, transition region P2With marginal zone P3Carry out denoising respectively, if
Smooth area P1, transition region P2With marginal zone P3Denoising estimate be respectively G1(i)、G2(i) and G3I (), the denoising in each region is estimated
Computing formula be respectively：
In formula, N1For the total number of pixels of smooth area, V (j) is smooth area P1Gray value at point j, s1V (i) is to pass through
The smooth area average at pixel i that mean filter extracts after processing, s1V (j) be processed by mean filter after carry
The smooth area average at pixel j taken out；V (j) represents marginal zone P3In all of pixel,For normaliztion constant, d is
Marginal zone P3The Gauss weighted euclidean distance of the annular feature vector of middle pixel i and pixel j, γ is the mark of gaussian kernel function
Accurate poor, μ is marginal zone P3The standard deviation of middle noise,And
C, again denoising subelement, connect subregion denoising subelement, for using the full change based on division Bregman iteration
Point Denoising Algorithm carries out further denoising to the passive millimeter wave image after being processed by subregion denoising subelement, thus going further
Except the white Gaussian noise in passive millimeter wave image.
This preferred embodiment setting image steady picture subelement, can eliminate the flating that people causes in motion；Two-value
Change in unit, the method being combined using global threshold binaryzation and local threshold binarization, obtain on the premise of ensureing speed
Good effect；Passive millimeter wave image is made up of the image block that approximate piecemeal smooths on a small quantity, includes substantial amounts of redundancy letter
Breath, according to this feature, arranges pretreatment unit, is smooth area, mistake using singular value decomposition by passive millimeter wave image division
Cross area and marginal zone, and subregion denoising subelement is arranged according to the respective feature in this three classes region, for smooth area, transition region
Carry out denoising respectively with marginal zone, compared with the current more concentration Image denoising algorithm of main flow, be obtained in that higher
BRISQUE, improves the speed of calculating, and can substantially suppress the impact of scan line noise and white Gaussian noise；Using again
Secondary denoising subelement, in conjunction with subregion denoising subelement, removes the white Gaussian noise in passive millimeter wave image, raising is gone further
Make an uproar effect.
Preferably, described concealment Articles detecting module 15 carry out mixing segmentation when, from suitable threshold value TyTo described
Target image carries out threshold process, and described confidence interval represents the tonal range of concealment article marginal distribution, wherein comprises target
The overall confidence interval at all edges of image is [int ((Vl+Vh)/2),Vh], wherein int () is to round operator, VlFor whole mesh
The lower bound of the minimum gradation value of the marginal point of logo image, VhThe upper bound for the maximum gradation value of the marginal point of whole target image；
When calculating the confidence interval that each hides article, using from Vl+ 1 starts threshold value T that pointwise increasesgTarget image is carried out point
Cut, until threshold value Tg=VhStop segmentation, when occurring in that a new isolated area in prospect, defining correspondence position has when -1
Another hides article, and the confidence interval of concealment article is defined as：Pz=[(Tg+Vh)/2,Vh], extracted hidden using boundary operator
The boundary curve hidden in the confidence interval of article, defining the region being comprised in boundary curve is Pc, the concealment thing that finally gives
The Accurate Segmentation region P of productyFor：
In formula,It is by less threshold value Ty=(Tg+Vh)/2 pair target image carries out splitting the region obtaining.
The method of the mixing segmentation that this preferred embodiment is combined using Canny boundary operator and confidence interval achieves to hidden
Hide the segmentation of article, improve speed and the precision of segmentation.
Preferably, described human region detection module 14 can shield to privacy places of human body, specifically includes：
(1) by face recognition, the sex of personnel is judged, according to the different privacy places of the different determination of sex, draw
Determine privacy area；
(2) Fuzzy Processing carried out to the privacy area determining, image blurring adopt with the following method：
For privacy area any point (x, y), using functionDetermine the 5 × 5 of (x, y)
The value weight of neighborhood point, carries out neighborhood weighted average to this point, obtains the fuzzy value of this point, thus reaching blur effect.
This preferred embodiment makes to detect more hommization.
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 Dormitory management system based on cloud computing, is characterized in that：Including management and control center, cloud computing server and intelligence
Energy terminal, described management and control center is connected by the Internet with cloud computing server, and described cloud computing server is used for receiving and deposits
The real time data at storage management and control center；Described intelligent terminal is connected by wireless network with cloud computing server and shows described reality
When data；Described management and control center includes the ammeter control module of the use for each dormitory ammeter electricity of monitor in real time, is used for
Detect that dormitory smokescope is too high, start the Smoke Sensor module of warning function, for controlling the photograph in corridor and room
The lighting control module of the switch of bright lamp, for detect dormitory temperature anomaly temperature sensor, for testing staff invasion
Pyroelectric sensor, the imageing sensor for view data in the case of acquisition abnormity.
2. a kind of Dormitory management system based on cloud computing according to claim 1, is characterized in that：Described intelligence is eventually
End includes panel computer.
3. a kind of Dormitory management system based on cloud computing according to claim 2, is characterized in that：Described flat board electricity
Brain supports 3G, 4G, WIFI network.
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Cited By (1)
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