CN111885202A - Information processing platform for exhibition hall of internet of things based on VGG algorithm - Google Patents
Information processing platform for exhibition hall of internet of things based on VGG algorithm Download PDFInfo
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- CN111885202A CN111885202A CN202010767861.8A CN202010767861A CN111885202A CN 111885202 A CN111885202 A CN 111885202A CN 202010767861 A CN202010767861 A CN 202010767861A CN 111885202 A CN111885202 A CN 111885202A
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0208—Combination with audio or video communication, e.g. combination with "baby phone" function
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0233—System arrangements with pre-alarms, e.g. when a first distance is exceeded
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- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/028—Communication between parent and child units via remote transmission means, e.g. satellite network
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The invention relates to an information processing platform for an exhibition hall of the Internet of things based on a VGG algorithm. The invention utilizes the advantages of the monitoring platform of the Internet of things to establish the monitoring platform based on the Internet of things. Firstly, an Internet of things sensing layer is established to collect exhibition hall information, and a plurality of data collection points are established for each exhibition hall so as to improve the accuracy of data identification; then, the image is down-sampled by using two-dimensional lifting wavelet transform in a network layer so as to reduce the image data volume; and finally, transmitting the image to an application layer by using a WIFI module, and establishing a VGG model at the application layer to estimate the crowd density. The information of the intelligent exhibition hall is processed through the internet of things monitoring platform, the real-time scene of the exhibition hall is monitored in real time, and the personal safety of visitors and the property safety of the exhibition hall are guaranteed.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to an information processing platform for an Internet of things exhibition hall based on a VGG algorithm.
Background
With the rapid development of science and technology in recent years, deep learning and internet of things technology are highly developed. The VGG network model has excellent effect on image processing. The internet of things is that any object is connected with a network through information sensing equipment according to an agreed protocol, and the object performs information exchange and communication through an information transmission medium so as to realize functions of intelligent identification, positioning, tracking, supervision and the like.
At present, with the rapid development of science and technology, more and more intelligent exhibition halls are established. With the great support of China on technological innovation, people pay more and more attention to the importance of innovation, so that intelligent exhibition halls are concerned more and more. However, with the large increase in the flow of people in an exhibition hall, the security problem of the exhibition hall is concerned more and more by many people.
Therefore, the information processing platform for the exhibition hall of the internet of things based on the VGG algorithm utilizes the linkage advantage of the monitoring platform of the internet of things, establishes the information processing platform of the internet of things to collect and process information of the exhibition hall, monitors real-time information of each exhibition hall, and then realizes intelligent control of people in the intelligent exhibition hall.
Disclosure of Invention
To solve the above existing problems. The invention provides an information processing platform for an Internet of things exhibition hall based on a VGG algorithm, which is used for acquiring and processing information of an intelligent exhibition hall in real time so as to intelligently monitor the information of the exhibition hall and control the exhibition hall in real time. To achieve this object:
the invention provides an information processing platform for an exhibition hall of the Internet of things based on a VGG algorithm, which comprises the following specific steps:
step 1: establishing an Internet of things monitoring platform, and establishing N sensing layer data acquisition supporting points for each exhibition hall;
step 2: the sensing layer node of the monitoring platform of the Internet of things transmits data to a network layer node of the Internet of things, and the network layer node performs down-sampling on signals by using two-dimensional lifting wavelet transform;
and step 3: preprocessing the image;
and 4, step 4: establishing a VGG network model, respectively carrying out personnel density estimation on information acquired by a sensing layer acquisition point of each exhibition hall, and optimizing the weight of sensing layer nodes of the same exhibition hall by using a particle swarm algorithm;
and 5: calculating the number of people in each area, comparing the number with the threshold value of each area, and judging whether the flow of people is overlarge;
step 6: and the application layer calculates the personnel density of each area of the exhibition hall and gives corresponding early warning according to the actual condition.
As a further improvement of the present invention, the lifting wavelet transform formula in step 2 is:
wherein the content of the first and second substances,
is a down-rounding, X (n) is a sampling sequence, i.e. a sampling image, d (n) is a high frequency component of the sampling data, s (n) is a low frequency component of the sampling data, and X (2n) is down-sampled during the down-sampling process to obtain s (n).
As a further improvement of the present invention, the image preprocessing mode in step 3 includes image space conversion, and the formula of RGB space conversion to YCbCr space is:
where R is the red component of the RGB color space, G is the green component of the RGB color space, B is the blue component of the RGB color space, only the Y component is retained in the transformation, and the Cb, Cr components are discarded.
As a further improvement of the present invention, the image preprocessing in step 3 includes a direct current translation formula for the Y component as follows:
Y'＝Y-Ymean(4)
wherein, YmeanIs the mean of the Y components.
As a further improvement of the present invention, the formula for calculating the flow of people in the exhibition hall in step 4 is:
wherein HkIs represented byNumber of visitors to k exhibition halls, HikRepresents the number of people in the ith sensing layer node of the kth exhibition hall, wikAnd representing the weight value of the ith sensing layer node of the kth exhibition hall, wherein N represents the total number of the sensing nodes of each exhibition hall.
As a further improvement of the present invention, the formula for calculating the flow of people in the exhibition hall in step 5 is:
wherein HkIs the number of visitors to the kth exhibition hall, and n is the total number of exhibition halls.
The information processing platform for the exhibition hall of the Internet of things based on the VGG algorithm has the advantages that:
1. according to the invention, the multi-node signal processing is carried out on the exhibition hall by using the monitoring platform of the Internet of things, so that the crowd density calculation is more accurate.
2. The invention utilizes wavelet decomposition to carry out down-sampling on the image, can reduce the data volume and increase the real-time property of the system.
3. The invention uses the VGG algorithm and carries out weighted calculation on a plurality of nodes, and can accurately calculate the crowd density.
4. The algorithm of the invention is simple to realize and has low cost.
Drawings
FIG. 1 is a block diagram of an Internet of things monitoring platform system;
FIG. 2 is a data processing diagram of a single exhibition hall system;
FIG. 3 is an algorithm flow diagram;
Detailed Description
The invention is described in further detail below with reference to the following detailed description and accompanying drawings:
the invention provides an information processing platform for an exhibition hall of the internet of things based on a VGG algorithm, which is used for acquiring and processing information of an intelligent exhibition hall in real time so as to intelligently monitor the information of the exhibition hall and control the exhibition hall in real time, for example, FIG. 1 is a system block diagram of the monitoring platform of the internet of things, FIG. 2 is a data processing schematic diagram of a single exhibition hall system, and the number N of sensing nodes of the single exhibition hall in the diagram is 2.
Firstly, establishing an Internet of things monitoring platform, and establishing N sensing layer data acquisition supporting points for each exhibition hall; the sensing layer node of the monitoring platform of the internet of things transmits data to the network layer node of the internet of things, and the network layer node performs down-sampling on signals by using two-dimensional lifting wavelet transform, for example, fig. 3 is an algorithm flow chart.
The lifting wavelet transform formula is:
wherein the content of the first and second substances,
is a down-rounding, X (n) is a sampling sequence, i.e. a sampling image, d (n) is a high frequency component of the sampling data, s (n) is a low frequency component of the sampling data, and X (2n) is down-sampled during the down-sampling process to obtain s (n).
Then, preprocessing the image; the image preprocessing mode comprises image space conversion, and the formula of converting RGB space into YCbCr space is as follows:
where R is the red component of the RGB color space, G is the green component of the RGB color space, B is the blue component of the RGB color space, only the Y component is retained in the transformation, and the Cb, Cr components are discarded.
The image preprocessing comprises the following direct current translation formula on the Y component:
Y'＝Y-Ymean(4)
wherein, YmeanIs the mean of the Y components.
Finally, a VGG network model is established, the personnel density of information collected by the sensing layer collection points of each exhibition hall is estimated, and the weight of the sensing layer nodes of the same exhibition hall is optimized by using a particle swarm algorithm; calculating the number of people in each area, comparing the number with the threshold value of each area, and judging whether the flow of people is overlarge; and the application layer calculates the personnel density of each area of the exhibition hall and gives corresponding early warning according to the actual condition.
The formula for calculating the flow of people in the exhibition hall is as follows:
wherein HkIs representative of the number of visitors to the kth exhibition hall, HikRepresents the number of people in the ith sensing layer node of the kth exhibition hall, wikAnd representing the weight value of the ith sensing layer node of the kth exhibition hall, wherein N represents the total number of the sensing nodes of each exhibition hall.
The formula for calculating the flow of people in the exhibition hall is as follows:
wherein HkIs the number of visitors to the kth exhibition hall, and n is the total number of exhibition halls.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, but any modifications or equivalent variations made according to the technical spirit of the present invention are within the scope of the present invention as claimed.
Claims (6)
1. The information processing platform for the exhibition hall of the Internet of things based on the VGG algorithm comprises the following specific steps and is characterized in that;
step 1: establishing an Internet of things monitoring platform, and establishing N sensing layer data acquisition supporting points for each exhibition hall;
step 2: the sensing layer node of the monitoring platform of the Internet of things transmits data to a network layer node of the Internet of things, and the network layer node performs down-sampling on signals by using two-dimensional lifting wavelet transform;
and step 3: preprocessing the image;
and 4, step 4: establishing a VGG network model, respectively carrying out personnel density estimation on information acquired by a sensing layer acquisition point of each exhibition hall, and optimizing the weight of sensing layer nodes of the same exhibition hall by using a particle swarm algorithm;
and 5: calculating the number of people in each area, comparing the number with the threshold value of each area, and judging whether the flow of people is overlarge;
step 6: and the application layer calculates the personnel density of each area of the exhibition hall and gives corresponding early warning according to the actual condition.
2. The VGG algorithm-based information processing platform for an exhibition hall of the Internet of things of claim 1, wherein;
the lifting wavelet transform formula in the step 2 is as follows:
wherein the content of the first and second substances,
is a down-rounding, X (n) is a sampling sequence, i.e. a sampling image, d (n) is a high frequency component of the sampling data, s (n) is a low frequency component of the sampling data, and X (2n) is down-sampled during the down-sampling process to obtain s (n).
3. The VGG algorithm-based information processing platform for an exhibition hall of the Internet of things of claim 1, wherein;
the image preprocessing mode in the step 3 comprises image space conversion, and the formula of converting the RGB space into the YCbCr space is as follows:
where R is the red component of the RGB color space, G is the green component of the RGB color space, B is the blue component of the RGB color space, only the Y component is retained in the transformation, and the Cb, Cr components are discarded.
4. The VGG algorithm-based information processing platform for an exhibition hall of the Internet of things of claim 1, wherein;
the image preprocessing in the step 3 comprises a direct current translation formula of the Y component as follows:
Y'＝Y-Ymean(4)
wherein, YmeanIs the mean of the Y components.
5. The VGG algorithm-based information processing platform for an exhibition hall of the Internet of things of claim 1, wherein;
the formula for calculating the flow of people in the exhibition hall in the step 4 is as follows:
wherein HkIs representative of the number of visitors to the kth exhibition hall, HikRepresents the number of people in the ith sensing layer node of the kth exhibition hall, wikAnd representing the weight value of the ith sensing layer node of the kth exhibition hall, wherein N represents the total number of the sensing nodes of each exhibition hall.
6. The VGG algorithm-based information processing platform for an exhibition hall of the Internet of things of claim 1, wherein;
the formula for calculating the flow of people in the exhibition hall in the step 5 is as follows:
wherein HkIs the number of visitors to the kth exhibition hall, and n is the total number of exhibition halls.
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| CN202010767861.8A CN111885202B (en) | 2020-08-03 | VGG algorithm-based information processing platform for exhibition hall of Internet of things |
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