CN115942254B - Intelligent restaurant passenger flow tracking and evaluating system and method - Google Patents
Intelligent restaurant passenger flow tracking and evaluating system and method Download PDFInfo
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Abstract
The disclosure relates to the field of restaurant analysis, in particular to a system and a method for intelligent restaurant passenger flow tracking and evaluating. An intelligent restaurant passenger flow tracking and evaluating system, comprising: the restaurant management system comprises a restaurant management platform, a plurality of positioning base stations and a plurality of first sensing devices, wherein each first sensing device is used for receiving positioning instruction signals sent by each positioning base station and returning positioning feedback signals to each positioning base station, each positioning base station establishes real-time communication with the restaurant management platform, and uploads relevant positioning data. According to the system, through the arrangement of the plurality of positioning base stations and the plurality of first sensing devices which can be in close-range communication, real-time positioning tracking is carried out on each diner, the residence time of each diner at different positions is recorded, and the diner taking track and the diner flow of the diner are determined according to the device identification of each first sensing device and corresponding first positioning information, so that the passenger flow tracking of the diner and the evaluation statistics of the diner taking time are realized.
Description
Technical Field
The disclosure relates to the technical field of restaurant analysis, in particular to a system and a method for intelligent restaurant passenger flow tracking and evaluating.
Background
With the rapid development of the catering industry, more and more cafeterias appear on the market, and general cafeterias generally adopt technologies such as WIFI positioning and FRID positioning to realize tracking statistics of restaurant passenger flow, but in cafeterias with more people with more passenger flow and more dense distribution, the precision of WIFI positioning can only reach about 2 meters, and accurate positioning cannot be realized; the action distance of FRID positioning is short, but the FRID positioning has no communication capability, flexible positioning of dining personnel cannot be realized, and a great amount of cost is required to be input for arranging a card reader and an antenna. Therefore, the cafeteria in the present stage cannot well realize the real-time positioning and tracking of dining personnel, is unfavorable for carrying out passenger flow tracking and evaluation statistics of meal taking time and the like on the dining personnel, and is unfavorable for layout improvement of the cafeteria.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides a system and a method for intelligent restaurant passenger flow tracking and evaluating, which can perform real-time positioning and tracking on each dining person and record the residence time of each dining person at different positions, thereby realizing passenger flow tracking on the dining person and evaluating and counting on the dining time, and being beneficial to layout improvement of cafeterias.
According to a first aspect of an embodiment of the present disclosure, there is provided an intelligent restaurant passenger flow tracking and evaluating system, including: the restaurant management platform, the positioning base stations and the first sensing devices are respectively arranged at a first preset position of the intelligent restaurant, the first sensing devices can be carried by diners, and each first sensing device is used for receiving positioning instruction signals sent by each positioning base station and transmitting positioning feedback signals back to each positioning base station;
each positioning base station establishes real-time communication with the restaurant management platform, each positioning base station acquires own base station identification, base station positioning information and first positioning interaction data between each first sensing device to be positioned and uploads the first positioning interaction data to the restaurant management platform, wherein the base station positioning information corresponds to the base station identification one by one, the first positioning interaction data comprises a first device identification returning positioning feedback signals, a first time node and a second time node, the first time node is a time node recorded by the positioning base station and used for sending positioning command signals to each first sensing device, and the second time node is a time node recorded by the positioning base station and used for receiving the positioning feedback signals returned by the first sensing devices to be positioned;
the restaurant management platform receives the base station identification, the base station positioning information and the first positioning interaction data, and determines a distance value between first sensing equipment to be positioned and each positioning base station according to the first positioning interaction data;
the restaurant management platform determines a plurality of target positioning base stations matched with the first sensing equipment based on the same first sensing equipment, determines first positioning information of the first sensing equipment according to base station positioning information of the target positioning base stations and distance values between the first sensing equipment to be positioned and each target positioning base station, and then determines a meal taking track of dining personnel and restaurant personnel flow according to equipment identifiers of each first sensing equipment and corresponding first positioning information.
According to a second aspect of the embodiments of the present disclosure, there is provided a smart restaurant passenger flow tracking and evaluating method applied to a restaurant management platform of a smart restaurant passenger flow tracking and evaluating system, the smart restaurant passenger flow tracking and evaluating system including: the restaurant management system comprises a restaurant management platform, a plurality of positioning base stations and a plurality of first sensing devices, wherein the positioning base stations are respectively arranged at first preset positions of intelligent restaurants, the first sensing devices can be carried by diners, each first sensing device is used for receiving positioning instruction signals sent by each positioning base station and returning positioning feedback signals to each positioning base station, and each positioning base station is in real-time communication with the restaurant management platform;
the method comprises the following steps:
receiving base station identifiers, base station positioning information and first positioning interaction data uploaded by each positioning base station, and determining a distance value between first sensing equipment to be positioned and each positioning base station according to the first positioning interaction data, wherein the base station positioning information corresponds to the base station identifiers one by one, the first positioning interaction data comprises first equipment identifiers for returning positioning feedback signals, first time nodes and second time nodes, the first time nodes are time nodes recorded by the positioning base stations and used for sending positioning instruction signals to each first sensing equipment, and the second time nodes are time nodes recorded by the positioning base stations and used for receiving the positioning feedback signals returned by the first sensing equipment to be positioned;
determining a plurality of target positioning base stations matched with the first sensing equipment based on the same first sensing equipment, and determining first positioning information of the first sensing equipment according to base station positioning information of the target positioning base stations and distance values between the first sensing equipment to be positioned and each target positioning base station;
and determining a meal taking track of the dining personnel and the restaurant personnel flow according to the equipment identification of each first sensing equipment and the corresponding first positioning information.
According to the technical scheme, through the arrangement of the plurality of positioning base stations and the plurality of first sensing devices which can be communicated in a short distance, real-time positioning tracking can be carried out on each dining person, the stay time of each dining person at different positions is recorded, and the dining track of the dining person and the restaurant flow are determined according to the equipment identification of each first sensing device and the corresponding first positioning information, so that the passenger flow tracking of the dining person and evaluation statistics of the dining time are realized, and the layout improvement of a cafeteria is facilitated.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
For a better understanding and implementation, the present disclosure is described in detail below with reference to the drawings.
Drawings
FIG. 1 is a block diagram of an intelligent restaurant passenger flow tracking and assessment system according to one embodiment of the present disclosure;
FIG. 2 is a schematic layout of a cafeteria shown in one embodiment of the present disclosure;
FIG. 3 is a second schematic layout of a cafeteria shown in one embodiment of the disclosure;
FIG. 4 is a schematic diagram of a positioning manner of a first sensing device and each positioning base station according to an embodiment of the present disclosure;
FIG. 5 is a flow chart illustrating a method of determining first positioning information according to one embodiment of the present disclosure;
FIG. 6 is a flow chart of an intelligent restaurant passenger flow tracking and evaluating method according to an embodiment of the disclosure.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if"/"if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination", depending on the context.
According to the first aspect of the embodiment of the disclosure, the system and the method for intelligent restaurant passenger flow tracking and evaluating can be used for carrying out real-time positioning and tracking on each dining person and recording the stay time of each dining person at different positions, so that the passenger flow tracking of the dining person and evaluation statistics of the dining time are realized, and the layout improvement of the cafeteria is facilitated.
Referring to fig. 1 and 2, fig. 1 is a block diagram illustrating a smart restaurant passenger flow tracking and evaluating system according to an embodiment of the present disclosure; FIG. 2 is a schematic layout of a cafeteria shown in one embodiment of the present disclosure.
An intelligent restaurant passenger flow tracking and evaluating system, comprising: restaurant management platform 1, a plurality of location basic station 2 and a plurality of first response equipment 3, a plurality of location basic station 2 set up respectively in the first preset position department of wisdom dining room, a plurality of first response equipment 3 can be carried by the personnel of having dinner, every first response equipment 3 is used for receiving each location instruction signal that location basic station 2 sent to each location basic station 2 passback location feedback signal.
As shown in fig. 2, a self-service vending device 201 is arranged in a cafeteria, dining tables 202 can form dining queuing routes 203 in various areas, dining staff entering the self-service cafeteria sequentially queue to take meals to form the dining queuing routes 203, the dining staff can take dishes at the dishes placement positions beside the self-service vending device 201, then the self-service vending device 201 is used for weighing and then carrying out non-inductive payment, and then the dining staff moves to dining tables.
As shown in fig. 3, a self-service vending device 201 is arranged on the self-service food selecting island, and corresponding dishes can be placed beside the self-service vending device 201. The diner who gets into the cafeteria queues in proper order and gets the meal to form the dining queuing route 203, and the diner can get the dish in the dish place beside the self-service vending equipment 201, then pay after weighing on the self-service vending equipment 201 without sense, and then the diner moves to each dining table to get the meal.
Each positioning base station 2 establishes real-time communication with the restaurant management platform 1, and each positioning base station 2 acquires its own base station identification, base station positioning information and first positioning interaction data between each first sensing device 3 to be positioned and uploads the first positioning interaction data to the restaurant management platform 1.
The base station positioning information corresponds to the base station identifiers one by one, the first positioning interaction data comprise a first device identifier, a first time node and a second time node, wherein the first device identifier returns a positioning feedback signal, the first time node is a time node recorded by the positioning base station and used for sending positioning instruction signals to the first sensing devices 3, and the second time node is a time node recorded by the positioning base station 2 and used for receiving the positioning feedback signal returned by the first sensing devices 3 to be positioned.
The restaurant management platform 1 receives the base station identification, the base station positioning information and the first positioning interaction data, and determines a distance value between the first sensing device 3 to be positioned and each positioning base station 2 according to the first positioning interaction data.
The restaurant management platform 1 determines a plurality of target positioning base stations matched with the first sensing equipment 3 based on the same first sensing equipment, determines first positioning information of the first sensing equipment 3 according to base station positioning information of the target positioning base stations and distance values between the first sensing equipment 3 to be positioned and each target positioning base station, and then determines a meal taking track of dining personnel and restaurant personnel flow according to equipment identifiers of each first sensing equipment and corresponding first positioning information.
According to the technical scheme, through the arrangement of the plurality of positioning base stations and the plurality of first sensing devices which can be communicated in a short distance, real-time positioning tracking can be carried out on each dining person, the stay time of each dining person at different positions is recorded, and the dining track of the dining person and the restaurant flow are determined according to the equipment identification of each first sensing device and the corresponding first positioning information, so that the passenger flow tracking of the dining person and evaluation statistics of the dining time are realized, and the layout improvement of a cafeteria is facilitated.
Each positioning base station is arranged at a restaurant entrance, and/or a dining area, and/or a kitchen operation area.
The positioning base station is an ultra wideband wireless communication (UWB communication technology) base station, and the first sensing device is an ultra wideband wireless communication (UWB technology) device.
The ultra-wideband wireless communication device is a meal card or smart bracelet, such as various tags, with ultra-wideband wireless communication services.
In UWB positioning technology, the positioning base station is usually the party sending the signal, and the sensing device is the party being positioned by the passive, i.e. not sending the signal. The positioning base station transmits a short pulse signal that propagates in space and is received by the sensing device. The sensing device will reflect this signal back to the positioning base station after receiving this signal, and the positioning base station calculates the position of the sensing device based on the time difference between the received reflected signal and the original signal.
In UWB positioning systems, the sensing device is typically only capable of passively receiving signals from the positioning base stations, and is therefore also referred to as a passive tag. The positioning base station is responsible for sending out signals and receiving signals reflected by the sensing equipment, and calculating the position of the sensing equipment according to the time delay difference of the signals, so that the UWB positioning technology is generally a positioning technology realized based on the signals sent out by the positioning base station.
Compared with other positioning technologies, the positioning tracking of dining personnel is realized by adopting the UWB positioning technology, the positioning tracking method has higher precision and lower realization cost, and provides more feasible and reliable technical support for dining management of intelligent restaurants.
In an alternative embodiment, the distance value between each first sensing device 3 and the respective matching positioning base station 2 may be determined by the following method.
Each positioning base station 2 establishes real-time communication with the restaurant management platform 1, takes its own base station identification, base station positioning information, the first time node, the second time node, and the device identification of the first sensing device 3 that returns a positioning feedback signal, and uploads the same to the restaurant management platform 1.
Specifically, the first time node is a time node recorded by the positioning base station and used for sending positioning instruction signals to the first sensing devices, and the second time node is a time node recorded by the positioning base station and used for receiving positioning feedback signals returned by the first sensing devices to be positioned.
The restaurant management platform receives the base station identification, the base station positioning information, the first time node, the second time node and the equipment identification of the first sensing equipment, and determines a distance value between the first sensing equipment to be positioned and each matched positioning base station according to the first time node, the second time node and a preset signal propagation speed.
As shown in fig. 4, the first sensing device is in matched communication with at least three positioning base stations to calculate positioning information of the first sensing device. The positioning base station comprises a positioning base station A, a positioning base station B and a positioning base station C, wherein a first time node t0 is recorded when the positioning base station A sends out a positioning instruction signal, a positioning feedback signal is immediately returned to each positioning base station when the first sensing equipment receives the positioning instruction signal, the time when the positioning base station A receives the positioning feedback signal is recorded as a second time node t1 by the positioning base station A, the time when the positioning base station B receives the positioning feedback signal is recorded as a second time node t2 by the positioning base station B, and the time when the positioning base station C receives the positioning feedback signal is recorded as a second time node t3 by the positioning base station C. The clocks of the various positioning base stations need to be kept synchronized.
The propagation speed of the positioning command signal and the positioning feedback signal in air is the speed of light c, so that the distance values of each positioning base station and the first sensing device can be determined to be d1, d2 and d3 respectively by combining the second time node of each positioning base station, that is, d1=c (t 1-t 0), d2=c (t 2-t 0), d3=c (t 3-t 0).
In an alternative embodiment, the first positioning information of the respective first inductive devices to be positioned may be determined in the following way.
As shown in fig. 5, the restaurant management platform determines a plurality of target positioning base stations matched with the first sensing device based on the same first sensing device, and determines first positioning information of the first sensing device according to base station positioning information of the target positioning base stations and distance values between the first sensing device to be positioned and each target positioning base station, including the following steps:
s501: determining a plurality of target positioning base stations matched with the first sensing equipment based on the same sensing equipment;
s502: acquiring preset coordinates of the first induction equipment, and forming an overdetermined equation set for solving the first positioning information of the first induction equipment according to the preset coordinates, the base station positioning information of each target positioning base station, the distance value between the first induction equipment to be positioned and each target positioning base station and a preset equation;
s503: and solving the overdetermined equation set to obtain preset coordinates, and taking the preset coordinates as first positioning information of the first sensing equipment.
In this embodiment, the preset coordinates of the first sensing device are (x, y, z); the three target positioning base stations are a positioning base station A, a positioning base station B and a positioning base station C respectively, base station positioning information, namely base station positioning coordinates are (xa, ya, za), (xb, yb, zb), (xc, yc and zc), distance values between the first sensing equipment and the three target positioning base stations are d1, d2 and d3 respectively, and three overdetermined equation sets can be formed, wherein the overdetermined equation sets refer to equation sets with the number of equations being larger than the number of unknowns.
The three overdetermined equations that make up are:
(1) (x - xa)^2 + (y - ya)^2 + (z - za)^2 = d1^2；
(2) (x - xb)^2 + (y - yb)^2 + (z - zb)^2 = d2^2；
(3) (x - xc)^2 + (y - yc)^2 + (z - zc)^2 = d3^2。
the unknown (x, y, z) can be solved based on three overdetermined equation sets, a mathematical method adopted for solving the equation sets can be a least square method or an iteration method, a Newton method and the like, and more accurate results can be obtained, so that the first positioning information of each first sensing device is obtained.
In an optional embodiment, the system further comprises self-service vending equipment and second sensing equipment, wherein each self-service vending equipment is provided with a corresponding second sensing equipment, and each self-service vending equipment is used for carrying out automatic weighing and collection on unique dishes; the restaurant management platform pre-stores second positioning information of the second sensing equipment, and determines the stay time of the first sensing equipment around each self-service selling equipment and corresponding dishes according to the first positioning information and the second positioning information, so that the meal taking time or queuing time of a meal taker of a certain dish is determined, and the analysis of restaurant people flow distribution is facilitated.
In an optional embodiment, the cafeteria management platform pre-stores a cafeteria layout chart, according to the cafeteria layout chart, the first positioning information, the second positioning information and the residence time of the first sensing device around each cafeteria vending device and corresponding dishes, the cafeteria management platform simulates and simulates a dining queuing model of the cafeteria to display, and determines dining route guidance by combining the dining queuing model of the cafeteria and the dish placement mode, so as to effectively guide a diner to queue, reduce waiting time and improve the experience of cafeteria hall.
In an optional embodiment, the restaurant management platform counts first target sensing devices within a preset range of each self-service vending device, and uses the number of the first target sensing devices as the number of the queuing meal takers at the self-service vending device; and acquiring a time starting point and a time cutting point of queuing for taking the meal of each first target sensing device, and then determining the average meal taking time of each dining person within the preset range of the self-service vending device.
In an alternative embodiment, the probability that a diner must wait after arriving can be calculated and modeled using the random process theory in probability theory. The specific modeling method can be as follows:
1. defining a random process: suppose that the time of arrival of the diner follows a random process, such as a poisson process.
2. And (3) establishing a model: the inter-arrival times of the diner are assumed to follow an exponential distribution, with the arrival times being independent.
3. Calculating the probability: assuming n diners, they arrive at a time of $t_1, t_2, respectively. For each arrival time $t_i$, if there are k dinners waiting in the fetch area, then the probability that the ith dinner needs to wait is $k/(k+i-1) $, since there are k dinners waiting here, the condition that the ith dinner needs to wait is that k-1 dinners have been waiting in front, plus the ith dinner itself waiting, and a total of k+i-1 dinners are waiting. Thus, for each arrival time $t_i$, the probability that the ith party needs to wait is calculated, and then the wait probabilities for all arrival times $t_i$areaveraged to obtain the probability that the party must wait after arrival.
In an alternative embodiment, the video acquisition device can be set at each position in the cafeteria, and the video acquisition device provides rapid and efficient video identification passenger flow capacity by means of the capabilities of AI technology for detecting, pursuing, comparing, attribute identifying, behavior identifying, labeling and the like of targets in the video, wherein the target targets comprise dining personnel, dining equipment, restaurant assets, sold objects and the like. According to the technical scheme, through the arrangement of the plurality of positioning base stations and the plurality of first sensing devices capable of realizing close-range communication, real-time positioning tracking can be carried out on each diner, the stay time of each diner at different positions is recorded, and the diner taking track and the diner flow of the diner are determined according to the device identification of each first sensing device and corresponding first positioning information, so that the passenger flow tracking of the diner and evaluation statistics of the diner taking time are realized, the convenience is brought to research and development personnel to find the diner bottleneck of a cafeteria, and the space optimization and layout improvement of the cafeteria are facilitated.
Furthermore, the intelligent restaurant passenger flow tracking system can perform cluster analysis on the lines of all diners, and excavate a plurality of most typical actual passenger flow lines in the whole restaurant; these data provide detailed data support for restaurant operational decisions such as dining tray placement and adjustment, dining location formulation and adjustment, dining person line adjustment design, promotional advertisement placement, etc.; meanwhile, post-evaluation data support can be provided for all decisions, the operation of the auxiliary restaurant is improved in an iterative manner, and the method is an indispensable step for the restaurant to go from rough operation to fine operation.
According to a second aspect of the disclosed embodiments, a smart restaurant passenger flow tracking and evaluating method is disclosed, which is applied to a restaurant management platform of a smart restaurant passenger flow tracking and evaluating system, the smart restaurant passenger flow tracking and evaluating system includes: the restaurant management system comprises a restaurant management platform, a plurality of positioning base stations and a plurality of first sensing devices, wherein the positioning base stations are respectively arranged at first preset positions of intelligent restaurants, the first sensing devices can be carried by dining personnel, each first sensing device is used for receiving positioning instruction signals sent by each positioning base station and returning positioning feedback signals to each positioning base station, and each positioning base station is in real-time communication with the restaurant management platform.
As shown in fig. 6, the intelligent restaurant passenger flow tracking and evaluating method is applied to a restaurant management platform of an intelligent restaurant passenger flow tracking and evaluating system, and comprises the following steps:
s601: and receiving the base station identification, the base station positioning information and the first positioning interaction data uploaded by each positioning base station, and determining a distance value between the first sensing equipment to be positioned and each positioning base station according to the first positioning interaction data.
The base station positioning information corresponds to the base station identifiers one by one, the first positioning interaction data comprise first equipment identifiers for returning positioning feedback signals, first time nodes and second time nodes, the first time nodes are time nodes recorded by the positioning base station and used for sending positioning instruction signals to the first sensing equipment, and the second time nodes are time nodes recorded by the positioning base station and used for receiving the positioning feedback signals returned by the first sensing equipment to be positioned.
S602: determining a plurality of target positioning base stations matched with the first sensing equipment based on the same first sensing equipment, and determining first positioning information of the first sensing equipment according to base station positioning information of the target positioning base stations and distance values between the first sensing equipment to be positioned and each target positioning base station;
s603: and determining a meal taking track of the dining personnel and the restaurant personnel flow according to the equipment identification of each first sensing equipment and the corresponding first positioning information.
In an optional embodiment, each positioning base station establishes real-time communication with the restaurant management platform, takes its own base station identifier, base station positioning information, a first time node, a second time node, and a device identifier of a first sensing device that returns a positioning feedback signal, and uploads the device identifier to the restaurant management platform; the restaurant management platform receives the base station identification, the base station positioning information, the first time node, the second time node and the equipment identification of the first sensing equipment, and determines a distance value between the first sensing equipment to be positioned and each matched positioning base station according to the first time node, the second time node and a preset signal propagation speed.
In an alternative embodiment, the restaurant management platform determines a plurality of target positioning base stations matched with the first sensing device based on the same first sensing device, and determines first positioning information of the first sensing device according to base station positioning information of the target positioning base stations and distance values between the first sensing device to be positioned and each target positioning base station, including:
determining a plurality of target positioning base stations matched with the first sensing equipment based on the same sensing equipment; acquiring preset coordinates of the first induction equipment, and forming an overdetermined equation set for solving the first positioning information of the first induction equipment according to the preset coordinates, the base station positioning information of each target positioning base station, the distance value between the first induction equipment to be positioned and each target positioning base station and a preset equation; and solving the overdetermined equation set to obtain preset coordinates, and taking the preset coordinates as first positioning information of the first sensing equipment.
According to the technical scheme, through the arrangement of the plurality of positioning base stations and the plurality of first sensing devices which can be communicated in a short distance, real-time positioning tracking can be carried out on each dining person, the stay time of each dining person at different positions is recorded, and the dining track of the dining person and the restaurant flow are determined according to the equipment identification of each first sensing device and the corresponding first positioning information, so that the passenger flow tracking of the dining person and evaluation statistics of the dining time are realized, and the layout improvement of a cafeteria is facilitated.
The intelligent restaurant passenger flow tracking and evaluating method and the intelligent restaurant passenger flow tracking and evaluating system provided by the embodiment belong to the same conception, and the detailed implementation process is shown in the embodiment and is not repeated here.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
Note that the above is only a preferred embodiment of the present disclosure and the technical principle applied. Those skilled in the art will appreciate that the present disclosure is not limited to the specific embodiments described herein, and that various obvious changes, rearrangements and substitutions can be made by those skilled in the art without departing from the scope of the disclosure. Therefore, while the present disclosure has been described in connection with the above embodiments, the present disclosure is not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the present disclosure, the scope of which is determined by the scope of the appended claims.
Claims (10)
1. An intelligent restaurant passenger flow tracking and evaluating system, comprising: the restaurant management platform, the positioning base stations and the first sensing devices are respectively arranged at a first preset position of the intelligent restaurant, the first sensing devices can be carried by diners, and each first sensing device is used for receiving positioning instruction signals sent by each positioning base station and transmitting positioning feedback signals back to each positioning base station;
each positioning base station establishes real-time communication with the restaurant management platform, each positioning base station acquires own base station identification, base station positioning information and first positioning interaction data between each first sensing device to be positioned and uploads the first positioning interaction data to the restaurant management platform, wherein the base station positioning information corresponds to the base station identification one by one, the first positioning interaction data comprises a first device identification returning positioning feedback signals, a first time node and a second time node, the first time node is a time node recorded by the positioning base station and used for sending positioning command signals to each first sensing device, and the second time node is a time node recorded by the positioning base station and used for receiving the positioning feedback signals returned by the first sensing devices to be positioned;
the restaurant management platform receives the base station identification, the base station positioning information and the first positioning interaction data, and determines a distance value between first sensing equipment to be positioned and each positioning base station according to the first positioning interaction data;
the restaurant management platform determines a plurality of target positioning base stations matched with the first sensing equipment based on the same first sensing equipment, determines first positioning information of the first sensing equipment according to base station positioning information of the target positioning base stations and distance values between the first sensing equipment to be positioned and each target positioning base station, and then determines a meal taking track of dining personnel and restaurant personnel flow according to equipment identifiers of each first sensing equipment and corresponding first positioning information.
2. The intelligent restaurant passenger flow tracking and assessment system according to claim 1, wherein each positioning base station establishes real-time communication with the restaurant management platform, takes its own base station identification, base station positioning information, the first time node, the second time node, and the device identification of the first sensing device that returns a positioning feedback signal, and uploads to the restaurant management platform;
the restaurant management platform receives the base station identification, the base station positioning information, the first time node, the second time node and the equipment identification of the first sensing equipment, and determines a distance value between the first sensing equipment to be positioned and each matched positioning base station according to the first time node, the second time node and a preset signal propagation speed.
3. The intelligent restaurant passenger flow tracking and assessment system according to claim 1, wherein the restaurant management platform determines a plurality of target positioning base stations matched with the first sensing device based on the same first sensing device, and determines first positioning information of the first sensing device according to base station positioning information of the target positioning base stations and distance values between the first sensing device to be positioned and each of the target positioning base stations, comprising:
determining a plurality of target positioning base stations matched with the first sensing equipment based on the same sensing equipment;
acquiring preset coordinates of the first induction equipment, and forming an overdetermined equation set for solving the first positioning information of the first induction equipment according to the preset coordinates, the base station positioning information of each target positioning base station, the distance value between the first induction equipment to be positioned and each target positioning base station and a preset equation;
and solving the overdetermined equation set to obtain preset coordinates, and taking the preset coordinates as first positioning information of the first sensing equipment.
4. The intelligent restaurant passenger flow tracking and evaluating system according to claim 1, further comprising self-service vending equipment and second sensing equipment, wherein each self-service vending equipment is provided with a corresponding second sensing equipment, and each self-service vending equipment is used for automatically weighing and collecting unique dishes;
the restaurant management platform pre-stores second positioning information of the second sensing devices, and determines the stay time of the first sensing devices around each self-service selling device and corresponding dishes according to the first positioning information and the second positioning information.
5. The intelligent restaurant passenger flow tracking and evaluating system according to claim 4, wherein the restaurant management platform pre-stores a cafeteria layout chart, and according to the cafeteria layout chart, the first positioning information, the second positioning information and the residence time of the first sensing device around each self-service selling device and corresponding dishes, the dining queuing model of the self-service restaurant is simulated and displayed, and dining route guidance is determined by combining the dining queuing model of the self-service restaurant and a dish placing mode.
6. The intelligent restaurant passenger flow tracking and assessment system according to claim 4, wherein the restaurant management platform counts first target sensing devices within a preset range of each self-service vending device, and takes the number of the first target sensing devices as the number of queuing meal takers at the self-service vending device;
and acquiring a time starting point and a time cutting point of queuing for taking the meal of each first target sensing device, and then determining the average meal taking time of each dining person within the preset range of the self-service vending device.
7. The intelligent restaurant passenger flow tracking and assessment system according to any one of claims 1 to 6, wherein each positioning base station is disposed at a restaurant entrance, and/or a dining area, and/or a kitchen work area.
8. The intelligent restaurant passenger flow tracking and assessment system of any one of claims 1 to 6, wherein the positioning base station is an ultra-wideband wireless communication base station and the first sensing device is an ultra-wideband wireless communication device.
9. The intelligent restaurant passenger flow tracking and assessment system according to claim 8, wherein the ultra-wideband wireless communication device is a dining card or a smart bracelet with ultra-wideband wireless communication service.
10. The intelligent restaurant passenger flow tracking and evaluating method is characterized by being applied to a restaurant management platform of an intelligent restaurant passenger flow tracking and evaluating system, wherein the intelligent restaurant passenger flow tracking and evaluating system comprises the following steps: the restaurant management system comprises a restaurant management platform, a plurality of positioning base stations and a plurality of first sensing devices, wherein the positioning base stations are respectively arranged at first preset positions of intelligent restaurants, the first sensing devices can be carried by diners, each first sensing device is used for receiving positioning instruction signals sent by each positioning base station and returning positioning feedback signals to each positioning base station, and each positioning base station is in real-time communication with the restaurant management platform;
the method comprises the following steps:
receiving base station identifiers, base station positioning information and first positioning interaction data uploaded by each positioning base station, and determining a distance value between first sensing equipment to be positioned and each positioning base station according to the first positioning interaction data, wherein the base station positioning information corresponds to the base station identifiers one by one, the first positioning interaction data comprises first equipment identifiers for returning positioning feedback signals, first time nodes and second time nodes, the first time nodes are time nodes recorded by the positioning base stations and used for sending positioning instruction signals to each first sensing equipment, and the second time nodes are time nodes recorded by the positioning base stations and used for receiving the positioning feedback signals returned by the first sensing equipment to be positioned;
determining a plurality of target positioning base stations matched with the first sensing equipment based on the same first sensing equipment, and determining first positioning information of the first sensing equipment according to base station positioning information of the target positioning base stations and distance values between the first sensing equipment to be positioned and each target positioning base station;
and determining a meal taking track of the dining personnel and the restaurant personnel flow according to the equipment identification of each first sensing equipment and the corresponding first positioning information.
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| CN112288530A (en) * | 2020-10-30 | 2021-01-29 | 广东技术师范大学 | Resource sharing intelligent dining method, device, system, medium and equipment |
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