CN109640249B - Market people flow prediction system based on big data - Google Patents
Market people flow prediction system based on big data Download PDFInfo
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Abstract
The invention relates to the technical field of big data, in particular to a market people flow prediction system based on big data, which comprises a market entrance monitoring system, an indoor base station system, a data acquisition unit, a data storage unit and a data processing unit; the mall entrance monitoring system comprises a camera, a face recognition unit and a communication unit, image information of the mall entrance is collected through the camera, the face recognition unit carries out image decoding recognition to generate entrance pedestrian flow information, and the entrance pedestrian flow information is transmitted to the data storage unit through the communication unit; the data acquisition unit acquires historical data information, the data storage unit receives and stores information acquired by the mall entrance monitoring system and the data acquisition unit, and the data processing unit performs analysis and prediction.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a market people flow prediction system based on big data.
Background
In the big data era, merchants attach higher importance to the authenticity and reliability of data, and a method for improving the flow of people in a market is related to the data, so that the source statistics of the data is the key.
In addition, the purpose of promoting the pedestrian volume in the shopping mall is to realize the scientific pedestrian volume statistics, so that the pedestrian volume data is obtained, the prediction and estimation are well done, and an effective basis is provided for marketing decision.
The statistics and the prediction of the population flow have very important guiding significance in the aspects of commodity structure, promotion decision, worker division, worker working time arrangement, alternate rest system establishment, commodity class selection, salesman training and the like of a shopping mall. In the early days, many merchants collected statistics of pedestrians entering and leaving stores every day by using a manual statistics method, which is not only labor-consuming, time-consuming and financial-consuming, but also more difficult and serious in the case of particularly dense pedestrian traffic.
Meanwhile, a passenger flow statistical system based on an infrared technology and a gravity sensing mode is adopted by a plurality of merchants, but the system can only calculate the number of people, cannot deeply analyze the information of the passenger flow, and is difficult to well meet the requirements of commercial users.
In recent years, the technology of utilizing pattern recognition, image processing and the like to solve the problems of people flow statistics and prediction in shopping malls has become a mature field, a people flow statistics system based on human head characteristics adopts information such as outlines, colors and the like to establish a people head model for target detection, counting is realized through analysis of target action tracks, and the statistical accuracy reaches more than 95%. The real-time and accurate people flow statistical system brings great convenience to management of the shopping mall.
With the development of fine operation, an automatic prediction system with more comprehensive data is urgently needed for analyzing market lawn effect, conversion rate and the like.
Disclosure of Invention
The invention provides a market pedestrian volume prediction system based on big data, which can provide more comprehensive automatic prediction for the market pedestrian volume.
The invention provides a market pedestrian flow prediction system based on big data, which comprises a market entrance monitoring system, an indoor base station system, an intelligent terminal, a data acquisition unit, a data storage unit and a data processing unit, wherein the intelligent terminal, the data acquisition unit, the data storage unit and the data processing unit are in communication connection with the indoor base station system; the mall entrance monitoring system comprises a camera, a face recognition unit and a communication unit, wherein the camera, the face recognition unit and the communication unit are sequentially connected;
the camera is used for collecting image information of the entrance of the shopping mall,
the face recognition unit is used for generating entrance pedestrian flow information after decoding and recognizing the collected images and transmitting the entrance pedestrian flow information to the data storage unit through the communication unit;
the entrance people flow information comprises entrance people flow quantity and corresponding time information;
the data acquisition unit is used for acquiring historical data information, and the historical data information comprises coverage area information of an indoor base station system and corresponding data information in the coverage area;
the data information comprises communication connection quantity and communication disconnection quantity corresponding to each moment;
the data storage unit is used for receiving and storing the information collected by the mall entrance monitoring system and the data collection unit;
the data processing unit is used for analyzing and predicting the entrance people flow information collected by the mall entrance monitoring system and the historical data information collected by the data collecting unit to generate a prediction result.
Further, the indoor base station system is an indoor base station system of a distributed point system architecture, and the indoor base station system comprises a plurality of prrus.
Further, the coverage area information is specifically obtained by:
obtaining location information of each pRRU of the plurality of pRRUs of the indoor base station system;
determining a coverage area of each pRRU in the plurality of pRRUs based on the location information of each pRRU in the plurality of pRRUs.
Further, the data processing unit is specifically configured to:
establishing a mapping relation between entrance people flow information and historical data information of corresponding time periods, wherein a calculation formula is as follows;
where f (P) is the number of ingress traffic, n is the number of pRRUs, i.e., the number of coverage areas of the indoor base station system, PnNumber of people flowing for each coverage area, wnWeights corresponding to the respective coverage areas;
according to the flow of people at the entranceCalculating the quantity and the quantity of the communication connection of the corresponding time period to obtain wnWherein, in the step (A),
the corresponding time period is a time period after the acquired time information corresponding to the number of the entrance people flow;
predicting expected pedestrian flow corresponding to each area according to the number of the inlet pedestrian flow collected in real time, wherein the calculation formula is as follows:
wherein P is the number of inlet people flow collected in real time, PnThe expected flow rate of people corresponding to each area.
The invention has the beneficial effects that: the invention discloses a market pedestrian flow prediction system based on big data, which comprises a market entrance monitoring system, an indoor base station system, a data acquisition unit, a data storage unit and a data processing unit, wherein the market entrance monitoring system comprises a data acquisition unit, a data storage unit and a data processing unit; the mall entrance monitoring system comprises a camera, a face recognition unit and a communication unit, image information of the mall entrance is collected through the camera, the face recognition unit carries out image decoding recognition to generate entrance pedestrian flow information, and the entrance pedestrian flow information is transmitted to the data storage unit through the communication unit; the data acquisition unit acquires historical data information, the data storage unit receives and stores information acquired by the mall entrance monitoring system and the data acquisition unit, and the data processing unit performs analysis and prediction.
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The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is a block diagram of a system for predicting pedestrian flow in a shopping mall based on big data according to an embodiment of the present invention.
Detailed Description
Referring to fig. 1, the system for predicting the pedestrian volume in the market based on the big data is characterized by comprising a market entrance monitoring system, an indoor base station system, an intelligent terminal, a data acquisition unit, a data storage unit and a data processing unit, wherein the intelligent terminal, the data acquisition unit, the data storage unit and the data processing unit are in communication connection with the indoor base station system;
the mall entrance monitoring system comprises a camera, a face recognition unit and a communication unit, wherein the camera, the face recognition unit and the communication unit are sequentially connected, the camera is used for collecting image information of a mall entrance, the face recognition unit decodes and recognizes the collected image to generate entrance pedestrian flow information, and transmits the entrance pedestrian flow information to a data storage unit through the communication unit, and the entrance pedestrian flow information comprises entrance pedestrian flow quantity and corresponding time information;
the indoor base station system comprises all base station systems built indoors, all accessed intelligent terminals are counted, and the number of the accessed intelligent terminals is used as the flow of people in a commercial site.
The data acquisition unit is used for acquiring historical data information, and the historical data information comprises coverage area information of an indoor base station system and corresponding data information in the coverage area;
the data information comprises communication connection quantity and communication disconnection quantity corresponding to each moment;
the communication refers to the communication between the indoor base station system and the intelligent terminal;
the data storage unit is used for receiving and storing the information collected by the mall entrance monitoring system and the data collection unit;
the data processing unit is used for analyzing and predicting the entrance people flow information collected by the mall entrance monitoring system and the historical data information collected by the data collecting unit to generate a prediction result.
Further, the indoor base station system is an indoor base station system of a distributed point system architecture, and the indoor base station system comprises a plurality of remote radio units (pRRUs);
the indoor base station system of the distributed point system architecture is a micro base station system, and can adopt an indoor base station system of Huampsite architecture, an indoor base station system of Zhongxing Qcell architecture, an indoor base station system of Ericsson radio point system RDS and an indoor base station system of Nokia SmallCel architecture;
in this embodiment, an indoor base station system of the zhongxing Qcell architecture is adopted.
Further, the coverage area information is specifically obtained by:
obtaining location information of each pRRU of the plurality of pRRUs of the indoor base station system;
and determining the coverage area of each pRRU in the plurality of pRRUs according to the position information of each pRRU in the plurality of pRRUs, so that the collected human flow data is more detailed.
Further, the data processing unit is specifically configured to:
establishing a mapping relation between entrance people flow information and historical data information of corresponding time periods, wherein a calculation formula is as follows;
where f (P) is the number of ingress traffic, n is the number of pRRUs, i.e., the number of coverage areas of the indoor base station system, PnNumber of people flowing for each coverage area, wnWeights corresponding to the respective coverage areas;
calculating w according to the number of the entrance people flow and the number of the communication connections in the corresponding time periodnWherein, in the step (A),
the corresponding time period is a time period after the acquired time information corresponding to the entrance people flow quantity, and the length of the time period is determined according to the area of the shopping mall;
predicting expected pedestrian flow corresponding to each area according to the number of the inlet pedestrian flow collected in real time, wherein the calculation formula is as follows:
wherein P is the number of inlet people flow collected in real time, PnThe expected flow rate of people corresponding to each area.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and the present invention shall fall within the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means.
Claims (2)
1. A market pedestrian volume prediction system based on big data is characterized by comprising a market entrance monitoring system, an indoor base station system, an intelligent terminal, a data acquisition unit, a data storage unit and a data processing unit, wherein the intelligent terminal, the data acquisition unit, the data storage unit and the data processing unit are in communication connection with the indoor base station system; the mall entrance monitoring system comprises a camera, a face recognition unit and a communication unit, wherein the camera, the face recognition unit and the communication unit are sequentially connected;
the camera is used for collecting image information of a mall entrance;
the face recognition unit is used for generating entrance pedestrian flow information after decoding and recognizing the collected images and transmitting the entrance pedestrian flow information to the data storage unit through the communication unit; the entrance people flow information comprises entrance people flow quantity and corresponding time information;
the data acquisition unit is used for acquiring historical data information, the historical data information comprises coverage area information of an indoor base station system and corresponding data information in the coverage area, the indoor base station system is an indoor base station system of a distributed point system architecture, the indoor base station system comprises a plurality of remote radio units (pRRUs), and the data information comprises communication connection quantity and communication disconnection quantity corresponding to each moment;
the data storage unit is used for receiving and storing the information collected by the mall entrance monitoring system and the data collection unit;
the data processing unit is used for analyzing and predicting the entrance people flow information collected by the mall entrance monitoring system and the historical data information collected by the data collecting unit to generate a prediction result;
the data processing unit is specifically configured to:
establishing a mapping relation between entrance people flow information and historical data information of corresponding time periods, wherein a calculation formula is as follows;
where f (P) is the number of ingress traffic, n is the number of pRRUs, i.e., the number of coverage areas of the indoor base station system, PnNumber of people flowing for each coverage area, wnWeights corresponding to the respective coverage areas;
calculating w according to the number of the entrance people flow and the number of the communication connections in the corresponding time periodnWherein, in the step (A),
the corresponding time period is a time period after the acquired time information corresponding to the number of the entrance people flow;
predicting expected pedestrian flow corresponding to each area according to the number of the inlet pedestrian flow collected in real time, wherein the calculation formula is as follows:
wherein P is the number of inlet people flow collected in real time, PnThe expected flow rate of people corresponding to each area.
2. A market people flow prediction system based on big data according to claim 1, characterized in that the coverage area information is obtained by:
acquiring location information of each pRRU in the plurality of pRRUs of the indoor base station system;
determining a coverage area of each pRRU in the plurality of pRRUs according to the position information of each pRRU in the plurality of pRRUs.
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| CN110458351A (en) * | 2019-08-06 | 2019-11-15 | 重庆仙桃前沿消费行为大数据有限公司 | Area management method, device, equipment and readable storage medium storing program for executing based on flow of the people |
| CN111199215A (en) * | 2020-01-06 | 2020-05-26 | 郑红 | People counting method and device based on face recognition |
| CN114493692A (en) * | 2022-01-20 | 2022-05-13 | 南京欣威视通信息科技股份有限公司 | Outdoor advertising system for advertising campaign search based on regional information acquisition |
| CN116029395B (en) * | 2023-03-24 | 2023-08-04 | 深圳市明源云科技有限公司 | Pedestrian flow early warning method and device for business area, electronic equipment and storage medium |
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| CN102238584B (en) * | 2010-05-04 | 2014-03-12 | 中国移动通信集团安徽有限公司 | Device, system and method for monitoring regional passenger flow |
| JP2015013487A (en) * | 2013-07-03 | 2015-01-22 | 株式会社日立製作所 | Train operation control system, train operation simulation device, and train operation simulation method |
| JP6708122B2 (en) * | 2014-06-30 | 2020-06-10 | 日本電気株式会社 | Guidance processing device and guidance method |
| CN105512772B (en) * | 2015-12-22 | 2020-09-15 | 重庆邮电大学 | Dynamic pedestrian flow early warning method based on mobile network signaling data |
| CN107423742A (en) * | 2016-05-23 | 2017-12-01 | 中兴通讯股份有限公司 | The determination method and device of crowd's flow |
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