CN106897798B

CN106897798B - A kind of shopping mall people flow dredging system and dredging method

Info

Publication number: CN106897798B
Application number: CN201710103594.2A
Authority: CN
Inventors: 丁一如
Original assignee: Jinhua Zhizhen Communication Equipment Co Ltd
Current assignee: Sun Jingxin
Priority date: 2017-02-24
Filing date: 2017-02-24
Publication date: 2021-07-30
Anticipated expiration: 2037-02-24
Also published as: CN106897798A

Abstract

The present patent discloses a method for diverting the flow of people in a shopping mall. The method steps include: S100: generating a virtual shopping mall of the shopping mall; S200: in the virtual shopping mall, corresponding to the layout of the physical stores, space division is performed to form different detection areas; S300: Set the correlation between the different detection areas, and generate a relationship path; S400: Detect the human body thermal radiation value of the people in the physical shopping mall according to the thermal radiation, and generate a thermal radiation image; S500: Superimpose the thermal radiation image to the virtual shopping mall; S600: According to the correlation relationship between the detection area with a higher human body thermal radiation value and the detection area, send to the detection area in the detection area with a higher human thermal radiation value The crowd sends the associated detection area information and the relationship path, and guides the crowd to divert to the associated detection area.

Description

System and method for guiding people stream in shopping mall

Technical Field

The application relates to market location, shopping guide, crowd's reposition of redundant personnel field, concretely relates to virtual map and heat radiation detection's technique.

Background

In the traditional shopping mode of a market, a customer needs to search for a needed commodity in the market or rely on the guidance of staff in the market, which is the most common shopping mode and is closely related with people, but is the most time-consuming mode. Therefore, related technicians develop various convenient facilities to reduce the problems frequently encountered by people in the places such as indoor market shopping guide, exhibition guide, scene guide and the like as much as possible.

In addition, the conventional shopping method is that a client wants to buy an item and then arrives at a store to find a needed commodity in a vast sea of the lost commodity, and a worker in the store can help the client to find the relevant commodity. However, the staff members may not take each client to a specific location of the goods, and the client may ask several shop staff members to find the correct location during the process of finding the desired goods, which results in wasted time. With the enlargement of market scale and the deepening of commodity diversification, finding required articles in a market is more and more difficult, and particularly, a hot commodity counter is easy to cause crowd concentration and easily causes crowd accidents.

The invention discloses an accurate visual navigation system for indoor mall shopping guide, exhibition guide and scenery guide, which has a Chinese patent application number of CN200910193195.5, and comprises an indoor accurate real-time positioning system, an indoor wireless communication system, a portable terminal and a server; after entering an indoor mall, an indoor exhibition hall or an indoor scenery hall, a user can inquire the condition of articles through the portable terminal; after finding the needed article, the portable terminal can read or listen to the article related introduction, and the portable terminal can realize the accurate visual navigation of the article arrival route, so that the user can quickly and accurately find the article. The invention utilizes the indoor precise real-time positioning system to determine the current three-dimensional space position of the portable terminal, does not need to install an independent label on each article or the exhibition frame thereof, has convenient installation and flexible use, and is particularly suitable for market shopping guide, exhibition guide, scene guide and the like in an indoor environment.

The invention discloses a shopping guide map and commodity advertisement integrated purchase-sale and advertisement commercial mode, which is characterized in that an information base station is arranged at a shopping mall entrance, the shopping mall shopping guide map which is randomly taken by customers is placed on the information base station, a green recycling station for recycling the shopping guide map of the shopping mall is arranged at a shopping mall exit, wherein the shopping guide map is made of paper with folded paper, the two sides of the shopping guide map are printed in color, the shopping mall map is printed on one side of the shopping guide map, legends and information such as shelf positions, commodity areas, shopping channels, entrances, exits, service desks, cashier desks and the like are clearly embodied, the information of third-party merchants such as commodity advertisements, sales promotion activities and the like is printed on the other side of the shopping guide map, and the map is adjusted according to the arrangement of the shopping mall, updated at any time and guides the whole ordered shopping process. The commercial mode can achieve the purposes of improving the operating efficiency of the shopping mall and effectively spreading third-party commodities and brand advertisements.

In the above patent technology, there are the following disadvantages:

the intelligent degree is not high, the crowd density can only be identified by the subjective of managers, and the crowd density can hardly realize the function by using the mode of one-to-one guiding and shunting by the managers.

Disclosure of Invention

According to the technical scheme, the crowd density is detected through heat radiation, the positions of the crowd are visually displayed through a virtual map, and the advertisement board is inserted to guide the shunting information, so that shunting can be remotely and intelligently guided, and the occurrence of group accidents is prevented.

The invention is realized by the following technical scheme:

a method for guiding pedestrian flow in a shopping mall, comprising the steps of:

s100: generating a virtual mall of the mall;

s200: in the virtual mall, space division is carried out corresponding to the layout of the entity shops to form different detection areas;

s300: setting incidence relations among different detection areas and generating relation paths;

s400: detecting human body thermal radiation values of crowds in the entity market according to thermal radiation to generate a thermal radiation image;

s500: superposing the thermal radiation image to the virtual mall;

s600: and sending the related detection region information and the related relation path to the crowd in the detection region with the higher human body thermal radiation value according to the related relation between the detection region with the higher human body thermal radiation value and the detection region, and guiding the crowd to be shunted to the related detection region.

Further, in the method for guiding pedestrian flow in a shopping mall, the virtual shopping mall is a 3D scene corresponding to the shopping mall.

Further, in the method for guiding pedestrian flow in a shopping mall, the association relationship between the detection areas includes a gender logic relationship, an age logic relationship, a lover logic relationship or a family logic relationship.

Further, in the mall people flow dispersion method, the relationship path is an actual path from one entity shop (between detection areas) to another entity shop (between detection areas).

Further, in the method for guiding pedestrian flow in a shopping mall, the detection area information includes commodity type information, price information, preference information, floor position information, direction information or path information of an entity shop.

Further, in the method for guiding pedestrian flow in a shopping mall, the step S600 includes the steps of:

s610: when the people flow conditions among certain detection areas reach crowding, the human body heat radiation value triggers an alarm;

s620: obtaining the corresponding area numbers among the detection areas from a map data table according to the commodity type information correlation result;

s630: submitting the area numbers of the related detection areas to path calculation, and gradually deducing a plurality of relation paths through adjacent areas;

s640: and screening according to the path length of the relationship path and the node congestion degree (and the like) condition to obtain the optimal relationship path.

The invention also provides a system for guiding people stream in a shopping mall, which comprises the following steps:

a system for guiding pedestrian flow in shopping malls comprises a plurality of thermal radiation detectors, a plurality of advertisement indicating boards, shopping mall broadcasting, a shopping mall virtual map subsystem, a crowd density measuring subsystem and a diversion path calculating subsystem,

the heat radiation detectors are scattered in each solid shop area or people flow path and used for detecting heat radiation of a human body;

the advertisement indicating boards are distributed at entrances and exits, stairways, escalator entrances, elevator entrances or goods flow channels of all physical shops, and are used for issuing commercial information, emergency information or guiding information in a picture-text mode;

the shopping mall broadcast is used for issuing business information, emergency information or guide information in a voice mode;

the market virtual map subsystem is used for generating a corresponding virtual market according to the real scene of the market and dividing a plurality of detection areas according to the spreading condition of the thermal radiation detector;

the crowd density measuring and calculating subsystem is used for acquiring the crowd density of the physical shop area or the crowd path according to the scattered heat radiation detectors;

and the shunting path calculation subsystem is used for generating a relation path according to the incidence relation among the detection areas.

Further, the system for guiding pedestrian flow in the shopping mall is characterized in that the crowd density is set, and a plurality of different density levels are set according to different physical shop distributions (such as halls, hot counters, escalator entrances or goods flow channels).

Further, in the system for guiding pedestrian flow in a shopping mall, the subsystem of the virtual map in the shopping mall brings all the detection areas into the map data table, and identifies area numbers, area names, floors, positions, adjacent areas or commodity types for each detection area.

Further, in the mall people stream guidance system, the crowd density measuring and calculating subsystem superposes the thermal radiation image on the virtual mall generated by the mall virtual map subsystem, and the diversion path calculating subsystem starts the relationship path calculation according to the crowd density setting and pushes the optimal relationship path to the advertisement sign or the mall broadcast in the designated area.

The invention has at least one of the following beneficial effects:

1. the invention overcomes the technical problems that the prior market management of crowd density identification and crowd distribution depends on people management and has low management efficiency.

2. The invention endows the market people stream dispersion system with the capability of displaying the virtual market and checking the crowd density degree in the virtual market.

3. The invention endows the mall pedestrian flow dispersion system with the capability of intelligently starting the diversion path calculation and the diversion path pushing according to the crowd density.

4. The invention endows the mall people stream dispersion system with the capability of pushing related commodities (in the sales area) to people in the people group density area according to the shopping preferences of different people.

5. The invention endows the mall people stream dispersion system with the capability of generating a plurality of related paths and selecting the optimal path from the paths.

6. The system for guiding the pedestrian flow in the shopping mall has the advantages of strong intelligent degree, high reliability and wide application range, can prevent the occurrence of group accidents, can guide consumers to sell related goods by intelligently managing and automatically guiding dense crowds in the shopping mall, meets the marketing requirement of the shopping mall and increases the sales volume of the shopping mall.

Drawings

The invention is described in further detail below with reference to the following figures and detailed description:

FIG. 1 is a schematic flow chart of a first embodiment of the present invention;

FIG. 2 is a system diagram illustrating a first embodiment of the present invention;

FIG. 3 is a flow chart illustrating a second embodiment of the present invention.

Description of the reference numerals

The system comprises a heat radiation detector 100, an advertisement sign 200, a market broadcast 300, a market virtual map subsystem 5000, a crowd density measuring subsystem 6000 and a shunt path calculating subsystem 7000.

Detailed Description

In order to more clearly illustrate embodiments of the present invention or technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described below, and it is apparent that the following description and the drawings are illustrative of the present invention and should not be construed as limiting the present invention. The following description describes numerous specific details to facilitate an understanding of the invention. However, in certain instances, well-known or conventional details are not described in order to meet the requirements of brevity.

In a typical computing hardware configuration of the present application, the client/terminal, the network device, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The client, the mobile terminal or the network equipment comprise a processor which comprises a single-core processor or a multi-core processor. A processor may also be referred to as one or more microprocessors, Central Processing Units (CPUs), and the like. More specifically, the processor may be a Complex Instruction Set Computing (CISC) microprocessor, Reduced Instruction Set Computing (RISC) microprocessor, Very Long Instruction Word (VLIW) microprocessor, processor implementing other instruction sets, or processors implementing a combination of instruction sets. The processor may also be one or more special-purpose processors, such as an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), a network processor, a graphics processor, a network processor, a communications processor, a cryptographic processor, a coprocessor, an embedded processor, or any other type of logic component capable of processing instructions. The processor is configured to execute the instructions of the operations and steps discussed herein.

The client, mobile terminal or network device of the present invention includes a memory for storing large data, and may include one or more volatile memory devices such as Random Access Memory (RAM), dynamic RAM (dram), synchronous dram (sdram), static RAM (sram), or other types of memory devices. The memory may store information, including sequences of instructions that are executed by the processor or any other device. For example, executable code and/or data for various operating systems, device drivers, firmware (e.g., input output basic system or BIOS), and/or application programs may be loaded into memory and executed by the processor.

The operating system of the client, the mobile terminal or the network device in the present invention may be any type of operating system, such as Windows, Windows Phone, IOS, Android, Linux, Unix operating system, or other real-time or embedded operating systems such as VxWorks.

In order to more clearly illustrate embodiments of the present invention or technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described below, and it is apparent that the following description and the drawings are illustrative of the present invention and should not be construed as limiting the present invention. The following description describes numerous specific details to facilitate an understanding of the invention. However, in certain instances, well-known or conventional details are not described in order to meet the requirements of brevity. The apparatus/system and method of the present invention are described in the following examples:

first embodiment

FIG. 1 is a schematic flow chart of a first embodiment of the present invention:

s100: generating a virtual mall of the mall;

s500: superposing the thermal radiation image to the virtual mall;

Preferably, in the method for guiding pedestrian flow in a shopping mall, the virtual shopping mall is a 3D scene corresponding to the shopping mall.

Preferably, in the method for guiding pedestrian flow in a shopping mall, the association relationship between the detection areas includes a gender logic relationship, an age logic relationship, a lovers logic relationship or a family logic relationship. For example, men's clothing (department) will be related to sales departments such as computer (department), sports (department), etc.; the female clothes (department) can be related to sales departments such as cosmetics (department), bags (department), shoes (department) and the like; the children's clothes (department) can be associated with the sales departments of stationery (department), video games (department) and the like; the floor (portion) is related to sales departments such as a curtain (portion), a sofa (portion), a white household appliance (portion) and the like.

Preferably, in the mall people flow dispersion method, the relationship path is an actual path from one entity shop (between detection areas) to another entity shop (between detection areas). The method is not limited to A to B, and also comprises the path relationship from A to C or from A to D, or from A to B to C to D.

Preferably, in the method for guiding pedestrian flow in a shopping mall, the detection area information includes commodity type information, price information, preference information, floor position information, direction information or path information of an entity shop. And the detection area information is stored in a map data table and is called by a shunting path calculation subsystem.

Preferably, in the method for guiding pedestrian flow in a shopping mall, the step S600 includes the following steps:

The embodiment also provides a system for guiding people stream in a shopping mall, as shown in fig. 2, which is a schematic structural diagram of the system according to the first embodiment of the present invention:

a mall pedestrian flow dispersion system comprises a plurality of thermal radiation detectors 100, a plurality of advertisement signboards 200, mall broadcasts 300, a mall virtual map subsystem 5000, a crowd density measuring subsystem 6000 and a shunt path calculating subsystem 7000,

the plurality of thermal radiation detectors 100 are distributed in each physical shop area or pedestrian flow path and used for detecting thermal radiation of a human body;

the advertisement signboards 200 are distributed at entrances and exits, stairways, escalator entrances, elevator entrances or goods flow channels of all physical shops, and are used for issuing commercial information, emergency information or guide information in a picture-text mode;

the mall broadcast 300 for issuing commercial information, emergency information or guide information in a voice manner;

the market virtual map subsystem 5000 is used for generating a corresponding virtual market according to a market real scene and dividing a plurality of detection areas according to the distribution condition of the thermal radiation detector;

the crowd density measuring and calculating subsystem 6000 is used for obtaining the crowd density of the physical shop area or the crowd path according to the scattered heat radiation detectors;

and the shunting path calculation subsystem 7000 is used for generating a relationship path according to the incidence relation between the detection areas.

The market virtual map subsystem 5000, the crowd density measuring subsystem 6000 and the shunt path calculating subsystem 7000 all include network (software and hardware) devices.

Preferably, in the mall people flow dispersion system, the crowd density is set, and a plurality of different density levels are set according to different physical shop distributions (such as halls, hot counters, escalator entrances or goods flow channels). For example, the hall is set to be normal below 30%, crowded above 60%, and dense between 30% and 60%; the hot counter is set to be normal when the temperature is lower than 40 percent, crowded when the temperature is higher than 75 percent and dense when the temperature is between 40 and 75 percent; escalator exits or flow channels are set to less than 30% normal, more than 50% congested and between 30% and 50% dense.

Preferably, in the system for guiding pedestrian flow in a shopping mall, the subsystem 6000 for virtual map in a shopping mall incorporates all the detection areas into a map data table, and identifies an area number, an area name, a floor, a location, an adjacent area or a commodity type for each detection area.

Preferably, in the mall people stream evacuation system, the crowd density calculating subsystem 7000 superimposes the thermal radiation image on the virtual mall generated by the mall virtual map subsystem 6000, and the diversion path calculating subsystem 8000 starts the calculation of the relationship path according to the crowd density setting, and pushes the best relationship path to the advertisement sign 200 or the mall broadcast 300 in the designated area.

People in dense crowd can obtain other related commodity information, and crowd is shunted to related entity shops with low crowd density for continuous consumption and sightseeing.

Second embodiment

When a shopping mall takes an activity, a large number of customers are crowded into the same area frequently, so that people flow in a certain area is congested, and no other good method is available except that the number of people entering the mall is limited at an entrance; the customers who finish the shopping target in the area move towards all directions because no definite follow-up target is inserted in the congested crowd, the congestion is aggravated by the convection of the people, and the shopping mall has to pay extra labor cost for maintaining stability.

In this embodiment, as shown in fig. 3, which is a schematic flow chart of a second embodiment of the present invention, the population scale in a specific area is estimated by a thermal radiation detection method, a reference evacuation alternative area is provided by analyzing a current area in combination with a virtual mall map, and the evacuation of the population in the mall is performed by displaying a digitized mall price display board.

First step, thermal radiation detection

Through current thermal radiation detection mode, arrange thermal radiation detection equipment directly over in certain regional scope, survey important stream of people point in the market, generate the thermal radiation image.

Second, estimation of population size

By using the existing image processing method, color blocks which are presented as human body heat radiation characteristics in a heat radiation image are obtained. And obtaining the people flow area of the region through a pixel method, and comparing the reference threshold value of the region to obtain the current people flow condition.

Threshold examples for different regions: in an open hall of a shopping mall, the normal rate is less than or equal to 30 percent, the density is 30-60 percent, and the crowding is more than or equal to 60 percent;

in the hot counter, the normal temperature can be set to be less than or equal to 40 percent, the density is 40 to 75 percent, and the crowding is more than or equal to 75 percent;

the escalator mouth or the vicinity of the goods flow channel can be set to be less than or equal to 30 percent normal, 30 to 50 percent dense and more than or equal to 50 percent crowded;

the threshold criteria can be customized depending on the site.

Step three, establishing a virtual market and map database (table)

And carrying out virtual configuration on the main area of the market to generate a database table.

Numbering is carried out firstly: dividing the building into B1, F1, F2 and the like according to floors, dividing the 3 rd position into E, W, N, S according to directions, dividing the 4 th position into E, W, N, S according to deviation values of 1, 2, 3 and 4 …, wherein the deviation value of the center is 1 when the center is low and the deviation value of the position farthest from the center is high; the people group density in the historical market area can be used as a basis, for example, the highest density at the entrance and exit of each gate takes a value of 1, and the highest density in the area with less people in the deep place of the market takes a value of high.

For example, the easterest zone F2E5 in mall floor 2

And numbering the detection areas of the whole shopping mall according to the rule.

Then determining other adjacent areas of each area

Finally, a map database (table) is generated according to the configuration, for example:

region numbering	Area name	Floor level	Position of	Adjacent zones	Type of goods
						F3N7	Three-storied building south window	F3	N7	F3N6、F2N7	Children's entertainment
F2W1	Second-floor men's clothing	F2	W1	F2W2、F2E1	Garment
						F1S1	Entrance of market	F1	S1	F1N1	Show(s)

Fourth step, customer demand derivation

Design area association table

When a certain area is judged to be crowded, the commodity type of the area is found out from the map data table in the third step, and the inquiry association is submitted, the association table can be manually set in advance, or the association result is obtained through big data, for example, men's clothing can extract the associated computer, sports and the like, and for example, women's clothing can extract the associated cosmetics, bags and shoes.

Fifthly, establishing a market advertisement corresponding library

Creating a corresponding advertisement table for each region of a shopping mall, wherein each region is provided with one or more advertisements, such as F1S1 for trial eating of new products; F1S1 buy new product, send new product, first class, etc

The advertisements are stored through a data table structure, and the advertisements in all areas of the whole market are managed by a uniform database table

Sixth, calculate guidance

And further calculating the most suitable guidance scheme according to the results of the second step, the third step and the fourth step. The method comprises the following steps:

1. when the people flow condition in a certain area reaches congestion, an alarm is triggered

2. Obtaining the corresponding area number from the map data table according to the commodity type association result

3. The labels of the areas are submitted to path calculation, and paths can be gradually pushed out through adjacent areas.

4. Screening according to conditions such as path length and congestion degree of passing points

Seventh step, guide information display

And the digital information board extracts an advertisement broadcast from the advertisement data table generated in the fifth step through the screening result obtained in the sixth step, and guides the customer to move to a proper area.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.

Claims

1. A method for guiding pedestrian flow in a shopping mall is characterized by comprising the following steps:

s100: generating a virtual mall of the mall;

s500: superposing the thermal radiation image to the virtual mall;

s600: according to the incidence relation between the detection region with the higher human body thermal radiation value and the detection region, sending the associated detection region information and the relation path to the crowd in the detection region with the higher human body thermal radiation value, and guiding the crowd to be shunted to the associated detection region;

wherein, the association relationship among the detection areas comprises a sex logic relationship, an age logic relationship, a lover logic relationship or a family logic relationship;

the step of S600 includes the steps of:

s640: and screening through the node congestion degree condition according to the path length of the relationship path to obtain the optimal relationship path.

2. The method of claim 1, wherein the virtual mall is a 3D scene corresponding to the mall.

3. The method of claim 1, wherein the relationship path is a physical path from one physical store to another physical store.

4. A mall people stream grooming method according to claim 1, wherein the detection area information comprises commodity type information, price information, preference information, floor position information, orientation information or path information of an entity mall.

5. A system for guiding pedestrian flow in shopping malls is characterized in that the system for guiding pedestrian flow in shopping malls comprises a plurality of heat radiation detectors, a plurality of advertisement indicating boards, shopping malls broadcast, a shopping mall virtual map subsystem, a crowd density measuring subsystem and a diversion path calculating subsystem,

the shunting path calculation subsystem is used for generating a relation path according to the incidence relation among the detection areas;

the crowd density measuring and calculating subsystem superposes the thermal radiation image in the virtual mall generated by the mall virtual map subsystem, and the shunting path calculating subsystem starts the relation path calculation according to the crowd density setting and pushes the optimal relation path to the advertisement sign or the mall broadcast in the appointed area;

wherein obtaining the optimal relationship path comprises: when the people flow conditions among certain detection areas reach crowding, the human body heat radiation value triggers an alarm; obtaining the corresponding area numbers among the detection areas from a map data table according to the commodity type information correlation result; submitting the area numbers of the related detection areas to path calculation, and gradually deducing a plurality of relation paths through adjacent areas; and screening through the node congestion degree condition according to the path length of the relationship path to obtain the optimal relationship path.

6. A mall people stream guidance system according to claim 5, wherein said crowd density setting is a plurality of density levels different according to the distribution of the physical shops.

7. The system of claim 5, wherein the mall people stream grooming system incorporates all of the detection zones into a map data table and identifies each of the detection zones with a zone number, a zone name, a floor, a location, an adjacent zone, or a type of goods.