CN109640249B - A shopping mall traffic forecast system based on big data - Google Patents
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Abstract
本发明涉及大数据技术领域，具体涉及一种基于大数据的商场人流量预测系统，包括商场入口监控系统、室内基站系统、数据采集单元、数据存储单元、数据处理单元；商场入口监控系统包括摄像头、人脸识别单元和通信单元，通过摄像头采集商场入口的图像信息，人脸识别单元进行图像解码识别，生成入口人流量信息，通过通信单元将入口人流量信息传送给数据存储单元；数据采集单元采集历史数据信息，数据存储单元接收并存储商场入口监控系统和数据采集单元采集的信息，数据处理单元进行分析预测，本发明能对商场人流量提供数据更全面的自动化预测。
The invention relates to the technical field of big data, in particular to a big data-based shopping mall pedestrian flow prediction system, including a shopping mall entrance monitoring system, an indoor base station system, a data acquisition unit, a data storage unit, and a data processing unit; the shopping mall entrance monitoring system includes a camera , face recognition unit and communication unit, collect the image information of the entrance of the shopping mall through the camera, the face recognition unit performs image decoding and recognition, generates the entrance traffic information, and transmits the entrance traffic information to the data storage unit through the communication unit; the data acquisition unit The historical data information is collected, the data storage unit receives and stores the information collected by the shopping mall entrance monitoring system and the data acquisition unit, and the data processing unit analyzes and predicts.
Description
技术领域technical field
本发明涉及大数据技术领域，具体涉及一种基于大数据的商场人流量预测系统。The invention relates to the technical field of big data, in particular to a system for predicting the flow of people in shopping malls based on big data.
背景技术Background technique
如今是大数据时代，商家对于数据的真实性和可靠性的重视越来越高，而提高商场人流量的方法就是跟数据相关，数据的来源统计才是关键。Today is the era of big data. Businesses pay more and more attention to the authenticity and reliability of data. The way to increase the flow of people in shopping malls is related to data, and the source statistics of data is the key.
另外，提升商场人流量的目的是为了实现科技化的人流量统计，从而获取人流量数据，做好预测估算，为营销决策提供有效的依据。In addition, the purpose of increasing the flow of people in shopping malls is to achieve scientific and technological people flow statistics, so as to obtain people flow data, make predictions and estimates, and provide an effective basis for marketing decisions.
人口流量的统计和预测，在商场的商品结构、促销决策、对职工分工、职工工作时间的安排、轮休制度的建立，对商品的品类选择、销售人员的培训等多个方面，具有十分重要的指导意义。在早期，许多商家会沿用人工统计的方法，对每天进出商场的行人进行统计，这种方法不仅费力费时费财，并且在人流量特别密集的情况下，更是困难重重。Statistics and forecasting of population flow are very important in the commodity structure of shopping malls, promotion decision-making, division of labor, arrangement of employees' working hours, establishment of the rotation system, selection of commodity categories, and training of sales personnel. Guiding significance. In the early days, many merchants used manual statistics to count pedestrians entering and exiting the mall every day. This method is not only labor-intensive, time-consuming and expensive, but also more difficult when the traffic is particularly dense.
同时，也有不少的商家采用基于红外技术以及重力感应方式的客流统计系统，但这种系统也只能做到“人数计算”，无法深入进行人流的信息分析，很难较好地满足商业用户的需求。At the same time, there are also many merchants that use the passenger flow statistics system based on infrared technology and gravity sensing method, but this system can only achieve "counting of people" and cannot conduct in-depth information analysis of the flow of people, so it is difficult to better meet the needs of business users. demand.
近年来，通过利用模式识别、图像处理等技术解决了商场人流量统计和预测问题已经成为较成熟的一个领域，基于人体头部特征的人流量统计系统，采用轮廓、颜色等信息建立用于目标检测的人头模型，通过对目标行动轨迹的分析实现计数，统计正确率达到95％以上。这样一个实时、准确的人流量统计系统给商场的管理带来巨大的便利。In recent years, it has become a relatively mature field to solve the problem of people flow statistics and prediction in shopping malls through the use of pattern recognition, image processing and other technologies. The detected human head model is counted by analyzing the target action trajectory, and the statistical accuracy rate is over 95%. Such a real-time and accurate people flow statistics system brings great convenience to the management of shopping malls.
而随着精细化运营的发展，对商场坪效、转化率等的分析，迫切需要一种数据更全面的自动化预测系统。With the development of refined operations, there is an urgent need for an automated forecasting system with more comprehensive data for the analysis of shopping mall floor efficiency and conversion rate.
发明内容SUMMARY OF THE INVENTION
本发明提供一种基于大数据的商场人流量预测系统，能对商场人流量提供数据更全面的自动化预测。The present invention provides a large-data-based shopping mall traffic forecasting system, which can provide more comprehensive automatic prediction of data for shopping mall traffic.
本发明提供的一种基于大数据的商场人流量预测系统，包括商场入口监控系统、室内基站系统，与所述室内基站系统通信连接的智能终端、数据采集单元、数据存储单元、数据处理单元；所述商场入口监控系统包括摄像头、人脸识别单元和通信单元，所述摄像头、人脸识别单元、通信单元依次连接；The present invention provides a big data-based shopping mall traffic forecasting system, comprising a shopping mall entrance monitoring system, an indoor base station system, an intelligent terminal, a data acquisition unit, a data storage unit, and a data processing unit that are communicatively connected to the indoor base station system; The shopping mall entrance monitoring system includes a camera, a face recognition unit, and a communication unit, and the camera, the face recognition unit, and the communication unit are connected in sequence;
所述摄像头用于采集商场入口的图像信息，The camera is used to collect image information of the entrance of the shopping mall,
所述人脸识别单元用于将采集的图像解码识别后，生成入口人流量信息，并将所述入口人流量信息通过通信单元传送给数据存储单元；The face recognition unit is used for decoding and recognizing the collected images, generating entrance traffic information, and transmitting the entrance traffic information to the data storage unit through the communication unit;
所述入口人流量信息包括入口人流量数量和对应的时刻信息；The entrance traffic information includes the number of entrance traffic and corresponding time information;
所述数据采集单元用于采集历史数据信息，所述历史数据信息包括室内基站系统的覆盖区域信息，以及所述覆盖区域内对应的数据信息；The data collection unit is used for collecting historical data information, and the historical data information includes the coverage area information of the indoor base station system and the corresponding data information in the coverage area;
所述数据信息包括各个时刻对应的通信连接数量和通信断开数量；The data information includes the number of communication connections and the number of communication disconnections corresponding to each moment;
所述数据存储单元用于接收并存储所述商场入口监控系统和所述数据采集单元采集的信息；The data storage unit is configured to receive and store the information collected by the shopping mall entrance monitoring system and the data collection unit;
所述数据处理单元用于将所述商场入口监控系统采集的入口人流量信息和所述数据采集单元采集的历史数据信息进行分析预测，生成预测结果。The data processing unit is configured to analyze and predict the entrance traffic information collected by the shopping mall entrance monitoring system and the historical data information collected by the data collection unit to generate a prediction result.
进一步，所述室内基站系统为分布式点系统架构的室内基站系统，所述室内基站系统包括多个微射频拉远单元pRRU。Further, the indoor base station system is an indoor base station system with a distributed point system architecture, and the indoor base station system includes a plurality of micro radio remote units pRRU.
进一步，所述覆盖区域信息具体通过以下方式获得：Further, the coverage area information is specifically obtained in the following manner:
获取所述室内基站系统的所述多个pRRU中每个pRRU的位置信息；acquiring location information of each pRRU in the multiple pRRUs of the indoor base station system;
根据所述多个pRRU中每个pRRU的位置信息，确定所述多个pRRU中每个pRRU的覆盖范围。The coverage of each pRRU in the plurality of pRRUs is determined according to the location information of each pRRU in the plurality of pRRUs.
进一步，所述数据处理单元具体用于：Further, the data processing unit is specifically used for:
建立入口人流量信息和对应时间段历史数据信息的映射关系，计算公式如下；Establish the mapping relationship between the entrance traffic information and the historical data information of the corresponding time period, and the calculation formula is as follows;
其中，f(P)为入口人流量数量，n为pRRU的数量，也即室内基站系统的覆盖区域的数量，Pn为各个覆盖区域对应的人流量数量，wn为各个覆盖区域对应的权重；Among them, f(P) is the number of people flow at the entrance, n is the number of pRRUs, that is, the number of coverage areas of the indoor base station system, P n is the number of people traffic corresponding to each coverage area, and wn is the weight corresponding to each coverage area ;
根据入口人流量数量和对应时间段的通信连接数量计算得出wn，其中，W n is calculated according to the number of people at the entrance and the number of communication connections in the corresponding time period, where,
所述对应时间段为采集的入口人流量数量对应的时刻信息之后的时间段；The corresponding time period is the time period after the time information corresponding to the collected entrance traffic quantity;
根据实时采集的入口人流量数量预测各个区域对应的预期人流量，计算公式如下：According to the real-time collection of the entrance traffic volume, the expected traffic volume corresponding to each area is predicted. The calculation formula is as follows:
其中，P为实时采集的入口人流量数量，Pn为各个区域对应的预期人流量。Among them, P is the number of entrance people flow collected in real time, and P n is the expected flow of people corresponding to each area.
本发明的有益效果是：本发明公开一种基于大数据的商场人流量预测系统，包括商场入口监控系统、室内基站系统、数据采集单元、数据存储单元、数据处理单元；商场入口监控系统包括摄像头、人脸识别单元和通信单元，通过摄像头采集商场入口的图像信息，人脸识别单元进行图像解码识别，生成入口人流量信息，通过通信单元将入口人流量信息传送给数据存储单元；数据采集单元采集历史数据信息，数据存储单元接收并存储商场入口监控系统和数据采集单元采集的信息，数据处理单元进行分析预测，本发明能对商场人流量提供数据更全面的自动化预测。The beneficial effects of the present invention are as follows: the present invention discloses a big data-based shopping mall pedestrian flow forecasting system, including a shopping mall entrance monitoring system, an indoor base station system, a data acquisition unit, a data storage unit, and a data processing unit; the shopping mall entrance monitoring system includes a camera , face recognition unit and communication unit, collect the image information of the entrance of the shopping mall through the camera, the face recognition unit performs image decoding and recognition, generates the entrance traffic information, and transmits the entrance traffic information to the data storage unit through the communication unit; the data acquisition unit The historical data information is collected, the data storage unit receives and stores the information collected by the shopping mall entrance monitoring system and the data acquisition unit, and the data processing unit analyzes and predicts.
附图说明Description of drawings
下面结合附图和实例对本发明作进一步说明。The present invention will be further described below in conjunction with the accompanying drawings and examples.
图1是本发明实施例一种基于大数据的商场人流量预测系统的方框图。FIG. 1 is a block diagram of a big data-based shopping mall traffic prediction system according to an embodiment of the present invention.
具体实施方式Detailed ways
参考图1，本发明提供的一种基于大数据的商场人流量预测系统，其特征在于，包括商场入口监控系统、室内基站系统，与所述室内基站系统通信连接的智能终端、数据采集单元、数据存储单元、数据处理单元；Referring to FIG. 1, the present invention provides a big data-based shopping mall pedestrian flow prediction system, which is characterized in that it includes a shopping mall entrance monitoring system, an indoor base station system, an intelligent terminal, a data acquisition unit, an intelligent terminal communicatively connected to the indoor base station system, Data storage unit, data processing unit;
所述商场入口监控系统包括摄像头、人脸识别单元和通信单元，所述摄像头、人脸识别单元、通信单元依次连接，所述摄像头用于采集商场入口的图像信息，人脸识别单元将采集的图像解码识别后，生成入口人流量信息，并将所述入口人流量信息通过通信单元传送给数据存储单元，所述入口人流量信息包括入口人流量数量和对应的时刻信息；The shopping mall entrance monitoring system includes a camera, a face recognition unit, and a communication unit. The camera, the face recognition unit, and the communication unit are connected in sequence. The camera is used to collect image information at the entrance of the shopping mall. After the image is decoded and identified, the entrance people flow information is generated, and the entrance people flow information is transmitted to the data storage unit through the communication unit, and the entrance people flow information includes the entrance people flow quantity and corresponding time information;
室内基站系统包括建设在室内的所有基站系统，统计所有接入的智能终端，将接入的智能终端数量作为商场内的人流量。The indoor base station system includes all base station systems built indoors, counts all connected smart terminals, and takes the number of connected smart terminals as the flow of people in the mall.
所述数据采集单元用于采集历史数据信息，所述历史数据信息包括室内基站系统的覆盖区域信息，以及所述覆盖区域内对应的数据信息；The data collection unit is used for collecting historical data information, and the historical data information includes the coverage area information of the indoor base station system and the corresponding data information in the coverage area;
所述数据信息包括各个时刻对应的通信连接数量和通信断开数量；The data information includes the number of communication connections and the number of communication disconnections corresponding to each moment;
所述通信是指所述室内基站系统与智能终端的通信；The communication refers to the communication between the indoor base station system and the intelligent terminal;
所述数据存储单元用于接收并存储所述商场入口监控系统和所述数据采集单元采集的信息；The data storage unit is configured to receive and store the information collected by the shopping mall entrance monitoring system and the data collection unit;
所述数据处理单元用于将所述商场入口监控系统采集的入口人流量信息和所述数据采集单元采集的历史数据信息进行分析预测，生成预测结果。The data processing unit is configured to analyze and predict the entrance traffic information collected by the shopping mall entrance monitoring system and the historical data information collected by the data collection unit to generate a prediction result.
进一步，所述室内基站系统为分布式点系统架构的室内基站系统，所述室内基站系统包括多个微射频拉远单元pRRU；Further, the indoor base station system is an indoor base station system with a distributed point system architecture, and the indoor base station system includes a plurality of micro radio remote units pRRU;
所述分布式点系统架构的室内基站系统为微基站系统，可采用华为Lampsite架构的室内基站系统、中兴Qcell架构的室内基站系统、爱立信无线点系统RDS、诺基亚SmallCel架构的室内基站系统；The indoor base station system of the distributed point system architecture is a micro base station system, which can adopt the indoor base station system of Huawei Lampsite architecture, the indoor base station system of ZTE Qcell architecture, the Ericsson radio point system RDS, and the indoor base station system of Nokia SmallCel architecture;
本实施例中，采用中兴Qcell架构的室内基站系统。In this embodiment, an indoor base station system of ZTE Qcell architecture is adopted.
进一步，所述覆盖区域信息具体通过以下方式获得：Further, the coverage area information is specifically obtained in the following manner:
获取所述室内基站系统的所述多个pRRU中每个pRRU的位置信息；acquiring location information of each pRRU in the multiple pRRUs of the indoor base station system;
根据所述多个pRRU中每个pRRU的位置信息，确定所述多个pRRU中每个pRRU的覆盖范围，从而使得采集的人流量数据更细致。According to the location information of each pRRU in the plurality of pRRUs, the coverage of each pRRU in the plurality of pRRUs is determined, so that the collected traffic data is more detailed.
进一步，所述数据处理单元具体用于：Further, the data processing unit is specifically used for:
建立入口人流量信息和对应时间段历史数据信息的映射关系，计算公式如下；Establish the mapping relationship between the entrance traffic information and the historical data information of the corresponding time period, and the calculation formula is as follows;
其中，f(P)为入口人流量数量，n为pRRU的数量，也即室内基站系统的覆盖区域的数量，Pn为各个覆盖区域对应的人流量数量，wn为各个覆盖区域对应的权重；Among them, f(P) is the number of people flow at the entrance, n is the number of pRRUs, that is, the number of coverage areas of the indoor base station system, P n is the number of people traffic corresponding to each coverage area, and wn is the weight corresponding to each coverage area ;
根据入口人流量数量和对应时间段的通信连接数量计算得出wn，其中，W n is calculated according to the number of people at the entrance and the number of communication connections in the corresponding time period, where,
所述对应时间段为采集的入口人流量数量对应的时刻信息之后的时间段，所述时间段的长度根据商场面积确定；The corresponding time period is the time period after the time information corresponding to the collected entrance traffic quantity, and the length of the time period is determined according to the shopping mall area;
根据实时采集的入口人流量数量预测各个区域对应的预期人流量，计算公式如下：According to the real-time collection of the entrance traffic volume, the expected traffic volume corresponding to each area is predicted. The calculation formula is as follows:
其中，P为实时采集的入口人流量数量，Pn为各个区域对应的预期人流量。Among them, P is the number of entrance people flow collected in real time, and P n is the expected flow of people corresponding to each area.
以上所述，只是本发明的较佳实施例而已，本发明并不局限于上述实施方式，只要其以相同的手段达到本发明的技术效果，都应属于本发明的保护范围。The above descriptions are only preferred embodiments of the present invention, and the present invention is not limited to the above-mentioned embodiments, as long as the technical effects of the present invention are achieved by the same means, they should all belong to the protection scope of the present invention.
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