CN115942254A - 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 catering analysis, in particular to an intelligent restaurant passenger flow tracking and evaluating system and method. Wisdom restaurant passenger flow tracking evaluation 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 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 establishes real-time communication with the restaurant management platform and uploads related positioning data. The system carries out real-time positioning tracking on each diner through a plurality of positioning base stations and a plurality of first sensing devices which are arranged for near field communication, records the stay time of each diner at different positions, and determines the dining track and the dining room flow of the diner according to the device identification of each first sensing device and corresponding first positioning information, thereby realizing passenger flow tracking of the diner and evaluation and statistics of the dining time.
Description
Technical Field
The disclosure relates to the technical field of catering analysis, in particular to a system and a method for tracking and evaluating passenger flow of a smart restaurant.
Background
With the rapid development of the catering industry, more and more cafeterias appear on the market, and the general cafeterias usually adopt technologies such as WIFI positioning, FRID positioning and the like to realize the tracking and statistics of the restaurant passenger flow, but in the cafeterias with more people in flow distribution, the precision of the WIFI positioning can only reach about 2 meters, and the accurate positioning cannot be realized; the RFID positioning has a short acting distance but does not have communication capability, flexible positioning of diners cannot be realized, and a large amount of cost is required for arranging the card reader and the antenna. Therefore, the cafeteria at the present stage cannot well realize the real-time positioning and tracking of diners, is not favorable for carrying out passenger flow tracking and evaluation and statistics of meal taking time and the like on the diners, and is not favorable for layout improvement of the cafeteria.
Disclosure of Invention
In order to overcome the problems in the related art, the invention provides a smart restaurant passenger flow tracking and evaluating system and a smart restaurant passenger flow tracking and evaluating method.
According to a first aspect of an embodiment of the present disclosure, there is provided a smart restaurant passenger flow tracking and evaluating system, including: the intelligent dining room comprises a dining room management platform, a plurality of positioning base stations and a plurality of first sensing devices, wherein the plurality of positioning base stations are respectively arranged at first preset positions of the intelligent dining room, the plurality of first sensing devices can be carried by dinners, and each first sensing device is used for receiving a positioning instruction signal sent by each positioning base station and returning a positioning feedback signal to each positioning base station;
each positioning base station establishes real-time communication with the restaurant management platform, acquires a base station identifier of each positioning base station, base station positioning information and first positioning interaction data between the positioning base station and 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 identifiers one to one, the first positioning interaction data comprises a first device identifier, a first time node and a second time node, the first time node is a time node which is recorded by the positioning base station and sends a positioning instruction signal to each first sensing device, and the second time node is a time node which is recorded by the positioning base station and receives a positioning feedback signal returned by the first sensing device 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 a first induction device 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 same first induction equipment based on the same first induction equipment, determines first positioning information of the first induction equipment according to base station positioning information of the target positioning base stations and distance values between the first induction equipment to be positioned and the target positioning base stations, and then determines meal taking tracks and restaurant pedestrian flow of diners according to equipment identifications of the first induction equipment and the 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, where the smart restaurant passenger flow tracking and evaluating system includes: the intelligent dining room comprises a dining room management platform, a plurality of positioning base stations and a plurality of first sensing devices, wherein the plurality of positioning base stations are respectively arranged at first preset positions of the intelligent dining room, the plurality of first sensing devices can be carried by dinners, 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 communicated with the dining room management platform in real time;
the method comprises the following steps:
receiving base station identifiers, base station positioning information and first positioning interaction data uploaded by the positioning base stations, and determining distance values between first sensing equipment to be positioned and the positioning base stations according to the first positioning interaction data, wherein the base station positioning information corresponds to the base station identifiers one to one, the first positioning interaction data comprises a first equipment identifier for returning a positioning feedback signal, a first time node and a second time node, the first time node is a time node which is recorded by the positioning base station and used for sending a positioning instruction signal to the first sensing equipment, and the second time node is a time node which is recorded by the positioning base station and used for receiving the positioning feedback signal returned by the first sensing equipment to be positioned;
determining a plurality of target positioning base stations matched with the same first induction equipment based on the same first induction equipment, and determining first positioning information of the first induction equipment according to base station positioning information of the target positioning base stations and distance values between the first induction equipment to be positioned and each target positioning base station;
and determining the meal taking track and the restaurant flow rate of the diners according to the equipment identifications of the first induction equipment and the corresponding first positioning information.
According to the technical scheme in the embodiment of the invention, the positioning base stations and the first sensing devices which can be in close range communication are arranged, so that each diner can be positioned and tracked in real time, the residence time of each diner at different positions is recorded, and the meal taking track and the restaurant pedestrian volume of each diner are determined according to the device identification of each first sensing device and the corresponding first positioning information, thereby realizing passenger flow tracking of the diner and evaluation and statistics of the meal taking time, and being beneficial to layout improvement of a cafeteria.
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 practice, the present disclosure is described in detail below with reference to the accompanying drawings.
Drawings
FIG. 1 is a block diagram illustrating a smart restaurant passenger flow tracking and assessment system according to one embodiment of the present disclosure;
FIG. 2 is a first layout diagram of a cafeteria according to an embodiment of the present disclosure;
FIG. 3 is a layout diagram of a cafeteria according to one embodiment of the present disclosure;
fig. 4 is a schematic diagram illustrating 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 flowchart illustrating a method for determining first positioning information according to an embodiment of the disclosure;
fig. 6 is a schematic flow chart illustrating a method for tracking and evaluating the passenger flow of a smart restaurant according to an embodiment of the disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the disclosure, as detailed in the appended 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 and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such 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 as used herein may be interpreted as" at "8230; \8230when" or "when 8230; \823030, when" 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 tracking and evaluating the passenger flow of the intelligent restaurant can perform real-time positioning and tracking on each diner and record the residence time of each diner at different positions, so that the passenger flow tracking and the meal taking time of the diner are evaluated and counted, 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 diagram of a cafeteria according to an embodiment of the present disclosure.
Wisdom restaurant passenger flow tracking evaluation system includes: restaurant management platform 1, a plurality of location basic station 2 and a plurality of first response equipment 3, it is a plurality of location basic station 2 sets up respectively in the first preset position department in wisdom dining room, and is a plurality of first response equipment 3 can be carried by the personnel of having dinner, each first response equipment 3 is used for receiving each location command signal that location basic station 2 sent, and to each location basic station 2 passback location feedback signal.
As shown in fig. 2, a cafeteria vending apparatus 201 and dining tables 202 are arranged in the cafeteria, dining queuing routes 203 can be formed in each region, dining personnel entering the cafeteria can queue in sequence to take meals to form dining queuing routes 203, the dining personnel can take dishes at places where dishes beside the cafeteria vending apparatus 201 are placed, then the self-help vending apparatus 201 can weigh and then pay noninductive, and then the diners move to each dining table to have meals.
As shown in fig. 3, a self-service selling device 201 is arranged on the self-service food island, and corresponding dishes can be placed beside the self-service selling device 201. The diner entering the cafeteria lines up in sequence to get meals to form a diner queuing route 203, the diner can get dishes at the dishes placement position beside the self-service selling equipment 201, then weighing is carried out on the self-service selling equipment 201, and then noninductive payment is carried out, and then the diner moves to each dining table to have meals.
Each positioning base station 2 establishes real-time communication with the restaurant management platform 1, and each positioning base station 2 acquires a base station identifier of the positioning base station 2, base station positioning information and first positioning interaction data between the positioning base station and 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 to one, the first positioning interaction data includes a first device identifier for returning a positioning feedback signal, a first time node and a second time node, the first time node is a time node which is recorded by the positioning base station and sends a positioning instruction signal to each first sensing device 3, and the second time node is a time node which is recorded by the positioning base station 2 and receives a positioning feedback signal returned by the first sensing device 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 induction equipment 3 based on the same first induction equipment 3, determines first positioning information of the first induction equipment 3 according to base station positioning information of the target positioning base stations and distance values between the first induction equipment 3 to be positioned and the target positioning base stations, and then determines meal taking tracks and restaurant people flow of dinners according to equipment identifications of the first induction equipment and the corresponding first positioning information.
According to the technical scheme in the embodiment of the invention, the positioning base stations and the first sensing devices which can be in close range communication are arranged, so that each diner can be positioned and tracked in real time, the residence time of each diner at different positions is recorded, and the meal taking track and the restaurant pedestrian volume of each diner are determined according to the device identification of each first sensing device and the corresponding first positioning information, thereby realizing passenger flow tracking of the diner and evaluation and statistics of the meal taking time, and being beneficial to layout improvement of a cafeteria.
Each positioning base station is arranged at an entrance and an exit of a restaurant, and/or a meal taking area, and/or a dining area, and/or a kitchen operation area.
The positioning base station is an ultra wide band wireless communication (UWB communication technology) base station, and the first induction equipment is ultra wide band wireless communication (UWB technology) equipment.
The ultra-wideband wireless communication device is a dining card or a smart bracelet with ultra-wideband wireless communication service, such as various tags.
In UWB positioning technology, the positioning base station usually sends a signal, and the sensing device is positioned by passively, i.e. does not send a signal. The positioning base station transmits a short burst of signal that propagates through the space and is received by the sensing device. The sensing device will receive the signal and then reflect the signal back to the positioning base station, and the positioning base station calculates the position of the sensing device according to the time difference between the received reflected signal and the original signal.
In UWB positioning systems, inductive devices are typically only capable of passively receiving signals from a positioning base station and are therefore also referred to as passive tags. The positioning base station is responsible for sending out signals and receiving signals reflected by the sensing equipment, and calculates the position of the sensing equipment according to the time delay difference of the signals, so the UWB positioning technology is generally a positioning technology implemented based on the positioning base station sending out signals.
Compare in other positioning technology, this embodiment adopts UWB positioning technology to realize the location tracking of personnel of having dinner, has higher precision, and realizes that the cost is lower, provides more feasible reliable technical support for the management of having dinner in wisdom dining room.
In an alternative embodiment, the distance value between each first sensing device 3 and the respective matching positioning base station 2 can be determined by the following method.
Each positioning base station 2 establishes real-time communication with the restaurant management platform 1, and obtains a base station identifier of itself, base station positioning information, the first time node, the second time node, and an equipment identifier of the first sensing equipment 3 returning a positioning feedback signal, and uploads the equipment identifiers 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 a positioning instruction signal to each first sensing device, and the second time node is a time node recorded by the positioning base station and used for receiving a positioning feedback signal returned by the first sensing device 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 induction equipment, and determines a distance value between the first induction 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 matching communication with at least three positioning base stations to calculate the 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, 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 transmitted back to each positioning base station when a first sensing device receives the positioning instruction signal, the time of the positioning base station A receiving the positioning feedback signal is recorded as a second time node t1 by the positioning base station A, the time of the positioning base station B receiving the positioning feedback signal is recorded as a second time node t2 by the positioning base station B, and the time of the positioning base station C receiving the positioning feedback signal is recorded as a second time node t3 by the positioning base station C. The clocks of the various positioning stations need to be kept synchronized.
The speed of propagation of the positioning command signal and the positioning feedback signal in the air is the speed of light c, and thus, the distance values between each positioning base station and the first sensing device can be determined by combining the second time node of each positioning base station, i.e., d1 = c (t 1-t 0), d2 = c (t 2-t 0), and d3 = c (t 3-t 0), respectively.
In an alternative embodiment, the first positioning information of each first sensing device to be positioned may be determined in the following manner.
As shown in fig. 5, the restaurant management platform determines a plurality of target positioning base stations matched with the same 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, including the following steps:
s501: determining a plurality of target positioning base stations matched with the first sensing equipment based on the same first sensing equipment;
s502: acquiring preset coordinates of the first sensing equipment, and forming an overdetermined equation set for solving the first positioning information of the first sensing equipment according to the preset coordinates, the base station positioning information of each target positioning base station, the distance value between the first sensing equipment to be positioned and each target positioning base station and a preset equation;
s503: and solving the overdetermined equation set to obtain a preset coordinate, and taking the preset coordinate as first positioning information of the first induction equipment.
In this embodiment, the preset coordinates of the first sensing device are (x, y, z); the three target positioning base stations are respectively a positioning base station A, a positioning base station B and a positioning base station C, base station positioning information, namely base station positioning coordinates are respectively (xa, ya, za), (xb, yb, zb), (xc, yc, zc), distance values between the first sensing device and the three target positioning base stations are respectively d1, d2 and d3, and three over-determined equation sets can be formed, wherein the over-determined equation sets are equation sets with the number of equations larger than the number of unknown quantities.
The three over-determined equations consist of:
(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 unknowns (x, y, z) in the three over-determined equations can be solved, the mathematical method adopted for solving the equations can be a least square method, or an iterative method, a Newton method and the like, and a more accurate result can be obtained, so that the first positioning information of each first sensing device can be obtained.
In an optional embodiment, the system further comprises self-service selling devices and second sensing devices, wherein each self-service selling device is provided with a corresponding second sensing device, and each self-service selling device is used for automatically weighing and collecting unique dishes; the restaurant management platform is prestored with second positioning information of the second sensing equipment, and determines the residence time of the first sensing equipment around each self-service selling equipment and the corresponding dishes according to the first positioning information and the second positioning information, so that the meal taking time or queuing time of diners of a certain dish can be determined, and the analysis of the distribution of people flow in a restaurant is facilitated.
In an optional embodiment, the restaurant management platform is prestored with a cafeteria layout, and displays after simulating a dining queuing model of the cafeteria according to the cafeteria layout, the first positioning information, the second positioning information and the residence time of the first sensing device around each self-service selling device and the corresponding dishes, and determines a dining route guide by combining the dining queuing model and the dish placing mode of the cafeteria, so as to effectively guide the dining people to queue, reduce waiting time and improve the experience of dining in the cafeteria hall.
In an optional embodiment, the restaurant management platform counts first target sensing devices within a preset range of each self-service selling device, and takes the number of the first target sensing devices as the number of people who queue to take meals at the self-service selling device; and acquiring a time starting point and a time intercept point of each first target sensing device for queuing to take meals, and then determining the average meal taking time of each diner in the preset range of the self-service selling device.
In an alternative embodiment, the probability that a diner must wait after arriving can be calculated, and the random process theory in probability theory can be adopted for modeling. The specific modeling method can be as follows:
1. a random process is defined: it is assumed that the arrival time of a diner follows a random process, such as the poisson process.
2. Establishing a model: it is assumed that the inter-arrival times of diners follow an exponential distribution, with independence between arrival times.
3. Calculating the probability: suppose there are n diners, they arrive at $ t _1, t _2, t _ n, respectively. For $ t _ i per arrival time, if there are k diners waiting in the meal taking area at this time, then the probability that the ith diner needs to wait is $ k/(k + i-1) $, since there are k diners waiting at this time, the condition that the ith diner needs to wait is that there are k-1 diners already waiting before, plus the ith diner waits itself, and there are k + i-1 diners waiting. Therefore, for each arrival time $ t _ i $, the probability that the ith diner needs to wait is calculated, and then the waiting probabilities of all the arrival times $ t _ i $areaveraged to obtain the probability that the diner must wait after arriving.
In an optional embodiment, video acquisition devices can be set at various positions in the cafeteria, and the video acquisition devices provide quick and efficient video identification passenger flow capability by relying on capabilities of detection, pursuit, comparison, attribute identification, behavior identification, labels and the like of objects in videos through AI technology, wherein the target objects comprise diners, dining equipment, restaurant assets, sold articles and the like. According to the technical scheme in the embodiment of the invention, by arranging the plurality of positioning base stations and the plurality of first sensing devices which can be in close range communication, each diner can be positioned and tracked in real time, the residence time of each diner at different positions is recorded, and the meal taking track and the restaurant pedestrian volume of each diner are determined according to the device identification of each first sensing device and the corresponding first positioning information, so that the passenger flow tracking of the diner and the evaluation and statistics of the meal taking time are realized, research and development staff are facilitated to find the meal taking bottleneck of the 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 action of all diners, and dig out several most typical actual passenger flow lines in the whole restaurant; the data provides detailed data support for operation decisions of the restaurant, such as dinner plate arrangement and adjustment, dining position making and adjustment, diner line adjustment design, sales promotion advertisement placement position and the like; meanwhile, after-evaluation data support can be provided for all decisions, the operation of the restaurant is assisted to realize iterative improvement, and the method is an indispensable step for the restaurant to move from extensive operation to fine operation.
According to a second aspect of the embodiments of the present disclosure, 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 intelligent restaurant management system comprises a restaurant management platform, a plurality of positioning base stations and a plurality of first sensing devices, wherein the plurality of positioning base stations are respectively arranged at first preset positions of the intelligent restaurant, the plurality of first sensing devices can be carried by diners, each first sensing device is used for receiving positioning instruction signals sent by the positioning base stations and transmitting positioning feedback signals back to the positioning base stations, and each positioning base station is communicated with the restaurant management platform in real time.
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 includes the following steps:
s601: and receiving base station identification, base station positioning information and first positioning interaction data uploaded by each positioning base station, and determining a distance value between a first sensing device 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 in a one-to-one correspondence manner, the first positioning interaction data comprises a first device identifier for returning a positioning feedback signal, a first time node and a second time node, the first time node is a time node which is recorded by the positioning base station and sends a positioning instruction signal to each first sensing device, and the second time node is a time node which is recorded by the positioning base station and receives the positioning feedback signal returned by the first sensing device to be positioned.
S602: determining a plurality of target positioning base stations matched with the same first induction equipment based on the same first induction equipment, and determining first positioning information of the first induction equipment according to base station positioning information of the target positioning base stations and distance values between the first induction equipment to be positioned and each target positioning base station;
s603: and determining the meal taking track and the restaurant pedestrian volume of the diner according to the equipment identification of each first induction equipment and the corresponding first positioning information.
In an optional embodiment, each positioning base station establishes real-time communication with the restaurant management platform, and acquires a base station identifier of the positioning base station, base station positioning information, a first time node, a second time node, and a device identifier of a first sensing device which returns a positioning feedback signal, and uploads the device identifiers to the restaurant management platform; and 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 induction equipment, and determines a distance value between the first induction 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 optional embodiment, the restaurant management platform determines, based on the same first sensing device, a plurality of target positioning base stations matched with the first sensing device, and determines, 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, first positioning information of the first sensing device, including:
determining a plurality of target positioning base stations matched with the first sensing equipment based on the same first 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 a preset coordinate, and taking the preset coordinate as first positioning information of the first induction equipment.
According to the technical scheme in the embodiment of the invention, by arranging the plurality of positioning base stations and the plurality of first sensing devices capable of performing close range communication, each diner can be positioned and tracked in real time, the stay time of each diner at different positions is recorded, and the dining track and the dining room traffic of the diner are determined according to the device identification of each first sensing device and the corresponding first positioning information, so that the passenger flow tracking of the diner and the evaluation and 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 provided by the embodiment and the intelligent restaurant passenger flow tracking and evaluating system embodiment belong to the same concept, and the embodiment process is shown in the embodiment, and the details are not described herein.
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 phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.
It is to be noted that the foregoing is only illustrative of the presently preferred embodiments of the present disclosure and that the present principles apply. Those skilled in the art will appreciate that the present disclosure is not limited to the particular embodiments described herein, and that various obvious changes, adaptations, and substitutions are possible, without departing from the scope of the present disclosure. Therefore, although the present disclosure has been described in greater detail with reference to the above embodiments, the present disclosure is not limited to the above embodiments, and may include 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 intelligent restaurant management system comprises a restaurant management platform, a plurality of positioning base stations and a plurality of first sensing devices, wherein the plurality of positioning base stations are respectively arranged at first preset positions of the intelligent restaurant, the plurality of first sensing devices can be carried by diners, and each first sensing device is used for receiving a positioning instruction signal sent by each positioning base station and returning a positioning feedback signal to each positioning base station;
each positioning base station establishes real-time communication with the restaurant management platform, acquires a base station identifier of each positioning base station, base station positioning information and first positioning interaction data between each positioning base station and 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 identifiers one to one, the first positioning interaction data comprises a first device identifier for returning a positioning feedback signal, a first time node and a second time node, the first time node is a time node which is recorded by the positioning base station and sends a positioning instruction signal to each first sensing device, and the second time node is a time node which is recorded by the positioning base station and receives the positioning feedback signal returned by the first sensing device 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 a first induction device 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 same first induction equipment based on the same first induction equipment, determines first positioning information of the first induction equipment according to the base station positioning information of the target positioning base stations and the distance value between the first induction equipment to be positioned and each target positioning base station, and then determines meal taking tracks and restaurant people flow of diners according to equipment identifications of each first induction equipment and corresponding first positioning information.
2. The intelligent restaurant passenger flow tracking and evaluating system according to claim 1, wherein each positioning base station establishes real-time communication with the restaurant management platform, and obtains its own base station identification, base station positioning information, the first time node, the second time node, and a device identification of the first sensing device that returns a positioning feedback signal, and uploads the device identification 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 induction equipment, and determines a distance value between the first induction 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 evaluating system according to claim 1, wherein the restaurant management platform determines a plurality of target positioning base stations matched with the same first sensing device, 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, and comprises:
determining a plurality of target positioning base stations matched with the first sensing equipment based on the same first 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 a preset coordinate, and taking the preset coordinate as first positioning information of the first induction equipment.
4. The intelligent restaurant passenger flow tracking and evaluating system according to claim 1, further comprising a self-service vending device and a second sensing device, wherein each self-service vending device is provided with a corresponding second sensing device, and each self-service vending device is used for automatically weighing and collecting unique dishes;
the restaurant management platform prestores second positioning information of the second sensing equipment, and determines the residence 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.
5. The intelligent restaurant passenger flow tracking and evaluating system according to claim 4, wherein a cafeteria layout is prestored in the restaurant management platform, and a meal queuing model of the cafeteria is simulated and displayed according to the cafeteria layout, the first positioning information, the second positioning information and the stay time of the first sensing device around each self-service selling device and the corresponding dishes, and meal taking route guidance is determined by combining the meal queuing model and the dish placement mode of the cafeteria.
6. The intelligent restaurant passenger flow tracking and evaluating 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 people in line for taking meals at the self-service vending device;
and acquiring a time starting point and a time intercept point of each first target sensing device for queuing to take meals, and then determining the average meal taking time of each diner in the preset range of the self-service selling device.
7. The intelligent restaurant passenger flow tracking and assessment system according to any one of claims 1-6, wherein each said positioning base station is located at a restaurant doorway, and/or a dining area, and/or a kitchen work area.
8. The intelligent restaurant passenger flow tracking and assessment system according to any one of claims 1-6, wherein said positioning base station is an ultra-wideband wireless communication base station and said first sensing device is an ultra-wideband wireless communication device.
9. The system of claim 8, wherein the uwb wireless communications device is a dining card or smart bracelet with ultra-wideband wireless communications services.
10. A smart restaurant passenger flow tracking and evaluating method is applied to a restaurant management platform of a smart restaurant passenger flow tracking and evaluating system, and the smart restaurant passenger flow tracking and evaluating system comprises: the intelligent dining room comprises a dining room management platform, a plurality of positioning base stations and a plurality of first sensing devices, wherein the plurality of positioning base stations are respectively arranged at first preset positions of the intelligent dining room, the plurality of first sensing devices can be carried by dinners, 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 communicated with the dining room management platform in real time;
the method comprises the following steps:
receiving base station identifiers, base station positioning information and first positioning interaction data uploaded by the positioning base stations, and determining distance values between first sensing equipment to be positioned and the positioning base stations according to the first positioning interaction data, wherein the base station positioning information corresponds to the base station identifiers one to one, the first positioning interaction data comprises a first equipment identifier for returning a positioning feedback signal, a first time node and a second time node, the first time node is a time node which is recorded by the positioning base station and used for sending a positioning instruction signal to the first sensing equipment, and the second time node is a time node which is recorded by the positioning base station and used for receiving the positioning feedback signal returned by the first sensing equipment to be positioned;
determining a plurality of target positioning base stations matched with the same first induction equipment based on the same first induction equipment, and determining first positioning information of the first induction equipment according to base station positioning information of the target positioning base stations and distance values between the first induction equipment to be positioned and each target positioning base station;
and determining the meal taking track and the restaurant pedestrian volume of the diner according to the equipment identification of each first induction equipment and the corresponding first positioning information.
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