CN114200851A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN114200851A CN114200851A CN202111340737.4A CN202111340737A CN114200851A CN 114200851 A CN114200851 A CN 114200851A CN 202111340737 A CN202111340737 A CN 202111340737A CN 114200851 A CN114200851 A CN 114200851A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
Abstract
The embodiment of the invention provides a data processing method and a device, wherein the method comprises the following steps: the restaurant management system can acquire monitoring data sent by the monitoring devices and determine target user information of a target user entering the dining area according to the monitoring data; generating recommendation menu information according to the target user information, and sending the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information; receiving target dish information returned by a target terminal, and determining a target cooking robot from a plurality of cooking robots; and controlling the target cooking robot according to the target dish information. According to the embodiment of the invention, the intelligent calling of the cooking robot for cooking dishes by the restaurant management system according to the monitoring data is realized; and dishes are recommended to the user based on the user information, and the cooking robot is controlled to cook corresponding dishes based on the dishes selected by the user, so that different requirements of different users can be met, and the user experience is improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method and apparatus.
Background
In order to facilitate dining for employees of a company, a dining room is arranged in the company, and the employees of the restaurant are hired to cook dishes for the employees to eat.
The existing canteens mainly cook a large amount of dishes at one time and then staff select the dishes from the dishes by themselves; this obviously does not meet the needs of different employees.
And the existing dishes are all made in advance by restaurant workers, which easily causes that the dishes are possibly cold when the dishes are eaten by the workers, thereby influencing the eating experience of the workers.
Disclosure of Invention
In view of the above, it is proposed to provide a data processing method and apparatus that overcomes or at least partially solves the above mentioned problems, comprising:
a data processing method is applied to a restaurant management system, the restaurant management system is connected with a plurality of monitoring devices and a plurality of cooking robots deployed in a restaurant, and the method comprises the following steps:
acquiring monitoring data sent by a plurality of monitoring devices, and determining target user information of a target user entering a dining area according to the monitoring data;
generating recommendation menu information according to the target user information, and sending the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information;
receiving target dish information returned by a target terminal, and determining a target cooking robot from a plurality of cooking robots;
and controlling the target cooking robot according to the target dish information.
Optionally, generating recommendation menu information according to the target user information, including:
acquiring historical meal ordering information and health information corresponding to target user information;
and generating recommended menu information according to the historical meal ordering information and the health information.
Optionally, determining a target cooking robot from a plurality of cooking robots, comprising:
determining the working state of each cooking robot;
and taking the cooking robot in the idle state as a target cooking robot.
Optionally, determining a target cooking robot from a plurality of cooking robots, comprising:
determining target priority level information of the target dish information;
and taking the cooking robots with priority level information of incomplete dish information smaller than the target priority level information as target cooking robots.
Optionally, determining target user information of a target user entering the dining area according to the monitoring data includes:
identifying the monitoring data to generate a user identification result aiming at a target user entering a dining area;
judging whether the target user entering the dining area is a preset dining user or not according to the user identification result;
and when the target user entering the dining area is judged to be the preset dining user, acquiring the target user information based on the user identification result.
Optionally, the method further comprises:
receiving dining time returned by the target terminal;
according to target dish information, control target fried dish robot includes:
determining the time length required for completion according to the target dish information;
determining control starting time according to the length of time required for completing and the dining time, and judging whether the system time of the restaurant management system reaches the control starting time or not;
and when the system time of the restaurant management system reaches the control starting time, executing a step of controlling the target cooking robot according to the target dish information.
Optionally, the dining area includes a plurality of dining areas, and the method further includes:
predicting the number of dinning people in each dinning area in the dinning room based on the monitoring data;
determining a first dining area with the number of dining people exceeding a first threshold value and a second dining area with the number of dining people not exceeding a second threshold value; the first threshold is greater than the second threshold;
and displaying prompt information for guiding the user to go to the second dining area on the display screen corresponding to the first dining area.
An embodiment of the present invention further provides a data processing apparatus, which is applied to a restaurant management system, the restaurant management system is connected to a plurality of monitoring devices and a plurality of cooking robots deployed in a restaurant, and the apparatus includes:
the user information determining module is used for acquiring monitoring data sent by the monitoring devices and determining target user information of a target user entering the dining area according to the monitoring data;
the sending module is used for generating recommendation menu information according to the target user information and sending the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information;
the robot determining module is used for receiving target dish information returned by the target terminal and determining a target cooking robot from the plurality of cooking robots;
and the control module is used for controlling the target cooking robot according to the target dish information.
The embodiment of the invention also provides a server, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein the computer program realizes the data processing method when being executed by the processor.
The embodiment of the invention also provides a computer readable storage medium, a computer program is stored on the computer readable storage medium, and the computer program is executed by a processor to realize the data processing method.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, the restaurant management system can acquire monitoring data sent by a plurality of monitoring devices and determine the target user information of the target user entering the dining area according to the monitoring data; generating recommendation menu information according to the target user information, and sending the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information; receiving target dish information returned by a target terminal, and determining a target cooking robot from a plurality of cooking robots; and controlling the target cooking robot according to the target dish information. According to the embodiment of the invention, the intelligent calling of the cooking robot for cooking dishes by the restaurant management system according to the monitoring data is realized; and dishes are recommended to the user based on the user information, and the cooking robot is controlled to cook corresponding dishes based on the dishes selected by the user, so that different requirements of different users can be met, and the user experience is improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart of the steps of a data processing method of an embodiment of the present invention;
FIG. 2 is a flow chart of steps of another data processing method of an embodiment of the present invention;
FIG. 3 is a flow chart of steps of yet another data processing method of an embodiment of the present invention;
fig. 4 is a block diagram of a data processing apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flowchart of steps of a data processing method according to an embodiment of the present invention is shown, and is applied to a restaurant management system, where the restaurant management system is connected to a plurality of monitoring devices and a plurality of cooking robots deployed in a restaurant;
specifically, the method may include the steps of:
the restaurant management system can be a system for controlling monitoring equipment and cooking robots deployed in a restaurant; the control device can control the cooking robot to make dishes, and can also control the monitoring device to monitor the area inside the restaurant, which is not limited in the embodiment of the invention.
In practical application, in order to meet personalized requirements of different users on dishes, the restaurant management system may first call the monitoring device to acquire user information of a target user entering a dining area.
Specifically, the monitoring device may be directly deployed in the dining area, or may be deployed on a road leading to the dining area, which is not limited in this embodiment of the present invention.
After the monitoring equipment acquires the monitoring data, the monitoring data can be sent to a restaurant management system in real time; after receiving the monitoring data, the restaurant management system may identify the monitoring data and determine target user information of a target user entering the dining area based on the identification result. The target user information may include identity information of the target user, for example: zhang three, Li four and Wang five.
102, generating recommendation menu information according to the target user information, and sending the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information;
then, the restaurant management system can generate recommended menu information for the target user entering the dining area according to the determined target user information, so that the target user can select dishes according to the dining requirement and preference of the target user; the recommended menu information may be generated by the dish information of a plurality of dishes that the target user has previously selected, or may be generated by the dish information of a plurality of dishes that is automatically determined based on the information of the user, which is not limited in this embodiment of the present invention.
Meanwhile, the restaurant management system may further determine a target terminal bound to the target user information, where the target terminal may be a mobile phone, an intelligent wearable device, or the like bound to the restaurant management system by the target user, and the embodiment of the present invention is not limited to this.
After the restaurant management system generates the recommendation menu information and determines the target terminal, the recommendation menu information can be sent to the target terminal, so that the target user can independently select dishes to be eaten in the dining area of the company.
After receiving the recommended menu information, the terminal may display the recommended menu information on a screen to show a plurality of selectable dishes to a target user.
The target user can select one dish information as the target dish information according to the requirement and preference of the target user.
The terminal can return to the restaurant management system after receiving the target dish information selected by the target user.
103, receiving target dish information returned by the target terminal, and determining a target cooking robot from a plurality of cooking robots;
after receiving the target dish information returned by the target terminal, the restaurant management system can determine one dish-cooking robot from the plurality of dish-cooking robots as the target dish-cooking robot to cook the dish selected by the target user.
And 104, controlling the target cooking robot according to the target dish information.
Then, the restaurant management system may control the target cooking robot according to the target dish information to control the target cooking robot to cook the dish selected by the target user.
In the embodiment of the invention, the restaurant management system can acquire monitoring data sent by a plurality of monitoring devices and determine the target user information of the target user entering the dining area according to the monitoring data; generating recommendation menu information according to the target user information, and sending the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information; receiving target dish information returned by a target terminal, and determining a target cooking robot from a plurality of cooking robots; and controlling the target cooking robot according to the target dish information. According to the embodiment of the invention, the intelligent calling of the cooking robot for cooking dishes by the restaurant management system according to the monitoring data is realized; and dishes are recommended to the user based on the user information, and the cooking robot is controlled to cook corresponding dishes based on the dishes selected by the user, so that different requirements of different users can be met, and the user experience is improved.
Referring to fig. 2, a flow chart of steps of another data processing method according to an embodiment of the present invention is shown, including the steps of:
in practical application, in order to meet personalized requirements of different users on dishes, the restaurant management system may first call the monitoring device to acquire user information of a target user entering a dining area.
After the monitoring equipment acquires the monitoring data, the monitoring data can be sent to a restaurant management system in real time; after receiving the monitoring data, the restaurant management system may identify the monitoring data and determine target user information of a target user entering the dining area based on the identification result.
In an embodiment of the present invention, the target user information may be determined by:
substep 11, identifying the monitoring data and generating a user identification result aiming at a target user entering a dining area;
the monitoring data may refer to image data or other monitoring data capable of identifying information of the user, which is not limited in this embodiment of the present invention.
After receiving the monitoring data, the restaurant management system may identify the monitoring data, such as face recognition. Thus, the restaurant management system may generate a user identification result for the target user, which may include facial feature information of the target user.
The substep 12, judging whether the target user entering the dining area is a preset dining user or not according to the user identification result;
in practical applications, the target user entering the dining area may be only a staff of the restaurant, or only pass through the restaurant, or may need to enter the dining area for dining; in order to accurately distinguish the different users, list information of preset dining users can be stored in the restaurant management system in advance, and the users in the list information can refer to all employees of the enterprise corresponding to the dining area; the list information may include feature information of all employees, such as: and (4) face feature information.
Thus, the restaurant management system can determine whether the target user is a preset dining user based on the user identification result after generating the user identification result for the target user.
For example: whether the face feature information is matched with the face feature information of the target user or not can be found in all the face feature information in the list information; if yes, the target user can be judged to be a preset dining user, and the target user belongs to staff of an enterprise corresponding to the dining area; if not, it may be determined that the target user is not a pre-set dining user, who is not an employee of the enterprise corresponding to the dining area.
And a substep 13 of acquiring target user information based on the user identification result when the target user entering the dining area is judged to be a preset dining user.
When it is determined that the target user is a preset dining user, the restaurant management system may acquire target user information of the target user based on the user identification result. For example: target user information matched with the face feature information of the target user can be obtained.
in order to recommend more accurate dish information to the target user, historical meal ordering information and health information corresponding to the target user information can be acquired again.
The historical meal ordering information may refer to information that a target user previously orders a meal, and may include information of ordered dishes in the historical meal ordering process. The health information may refer to information related to the physical condition of the target user, such as: hypertension, hyperglycemia, cold, etc.
then, the restaurant management system may generate recommendation menu information for the target user based on the historical ordering information of the target user and the health information of the target user.
For example: it may be a low-fat meal, a low-sugar meal, etc.
after the restaurant management system generates the recommendation menu information, the recommendation menu information can be sent to the target terminal, so that the target user can independently select dishes to be eaten in the dining area of the company.
After receiving the recommended menu information, the terminal may display the recommended menu information on a screen to show a plurality of selectable dishes to a target user.
The target user can select one dish information as the target dish information according to the requirement and preference of the target user.
The terminal can return to the restaurant management system after receiving the target dish information selected by the target user.
after receiving the target dish information returned by the target terminal, the restaurant management system can determine one dish-cooking robot from the plurality of dish-cooking robots as the target dish-cooking robot to cook the dish selected by the target user.
In an embodiment of the present invention, the target cooking robot may be determined by the following sub-steps:
substep 21, determining the working state of each cooking robot;
in practical applications, other users may have entered the dining area, and the restaurant management system has called the cooking robot to cook dishes; at this time, it is possible that not all the cooking robots are in the idle state. In order to avoid the target user waiting too long, the restaurant management system may first determine the operating state of each connected cooking robot; the operating state may include an idle state or a busy state.
And a substep 22, taking the cooking robot with the working state in the idle state as a target cooking robot.
Then, the restaurant management system can determine which cooking robots are in an idle state and which cooking robots are in a busy state; further, the restaurant management system may use the cooking robot in which the working state is the idle state as the target cooking robot.
In another embodiment of the present invention, the target cooking robot may also be determined by the following sub-steps:
substep 31, determining target priority level information of the target dish information;
in practical application, the cooking time, the optimal eating time and the like required by different dishes are different; therefore, different priority level information may be set for different dishes first, and the priority level information may be set based on the cooking time, the optimal eating time, and the like of the dishes, for example: if the cooking of the dishes which need to be eaten hot is completed too early, the dishes may be cooled after a long time elapses when the user eats the dishes, and the eating experience of the user is further influenced, so that lower priority level information can be set for the dishes; and dishes that need to be cooked for a long time may cause the user to wait for too long if they are cooked too late, and therefore, higher priority level information may be set for such dishes.
When the restaurant management system determines the target dish information, the target priority information set in advance for the target dish information may be determined first, so that whether cooking first is required may be determined based on the attribute of the target dish information.
And a substep 32, taking the cooking robots with the priority level information of the incomplete dish information smaller than the target priority level information as target cooking robots.
Then, the restaurant management system may determine priority information of incomplete dish information among all the cooking robots that are working, and take the cooking robot in which the priority information of the incomplete dish information is smaller than the target priority as the target cooking robot, so as to control the cooking robot to cook the target dish information with higher priority information.
And step 206, controlling the target cooking robot according to the target dish information.
Then, the restaurant management system may control the target cooking robot according to the target dish information to control the target cooking robot to cook the dish selected by the target user.
In the embodiment of the invention, the restaurant management system can acquire the monitoring data sent by the monitoring devices and determine the target user information of the target user entering the dining area according to the monitoring data; acquiring historical meal ordering information and health information corresponding to target user information; generating recommendation menu information according to the historical meal ordering information and the health information; sending the recommended menu information to a target terminal corresponding to the target user information; receiving target dish information returned by a target terminal, and determining a target cooking robot from a plurality of cooking robots; and controlling the target cooking robot according to the target dish information. According to the embodiment of the invention, dishes are recommended to the user based on the historical meal ordering information and the health information of the user, so that the personalized requirements of the user are met, and the health requirements of the user are also met.
Referring to fig. 3, a flow chart of steps of another data processing method according to an embodiment of the present invention is shown, including the steps of:
301, acquiring monitoring data sent by a plurality of monitoring devices, and determining target user information of a target user entering a dining area according to the monitoring data;
in order to meet the personalized requirements of different users on dishes, the restaurant management system can call the monitoring equipment to acquire the user information of the target user entering the dining area.
After the monitoring equipment acquires the monitoring data, the monitoring data can be sent to a restaurant management system in real time; after receiving the monitoring data, the restaurant management system may identify the monitoring data and determine target user information of a target user entering the dining area based on the identification result.
in order to recommend more accurate dish information to the target user, historical meal ordering information and health information corresponding to the target user information can be acquired again.
303, generating recommendation menu information according to the historical meal ordering information and the health information;
then, the restaurant management system may generate recommendation menu information for the target user based on the historical ordering information of the target user and the health information of the target user.
after the restaurant management system generates the recommendation menu information, the recommendation menu information can be sent to the target terminal, so that the target user can independently select dishes to be eaten in the dining area of the company.
After receiving the recommended menu information, the terminal may display the recommended menu information on a screen to show a plurality of selectable dishes to a target user.
The target user can select one dish information as the target dish information according to the requirement and preference of the target user.
The terminal can return to the restaurant management system after receiving the target dish information selected by the target user.
305, receiving target dish information returned by a target terminal, and determining a target cooking robot from a plurality of cooking robots;
after receiving the target dish information returned by the target terminal, the restaurant management system can determine one dish-cooking robot from the plurality of dish-cooking robots as the target dish-cooking robot to cook the dish selected by the target user.
in practical application, when the target user determines the target dish information, the dining time can be determined; therefore, when the target terminal returns the target dish information to the restaurant management system, the dining time can be returned to the restaurant management system.
then, the restaurant management system may determine, based on the target dish information, a length of time required to complete the target dish, i.e., a length of time lasting from the start of cooking the target dish of the target dish information to the end of cooking.
in order to provide a better eating experience for the target user, it may be determined when to start cooking the target dishes corresponding to the target dish information based on the scheduled eating time of the target user.
Specifically, the control start time for starting to cook the target dish corresponding to the target dish information may be determined according to the time length required for completing the target dish corresponding to the target dish information and the dining time of the target user, for example: when the dining time is 12:03 and the required time length is 14min, the control start time can be determined to be 11: 49.
And 309, when the system time of the restaurant management system reaches the control starting time, controlling the target cooking robot according to the target dish information.
And then, the restaurant management system can monitor the system time of the restaurant management system, and when the system time of the restaurant management system is monitored to reach the control starting time, the target cooking robot is controlled according to the target dish information so as to control the target cooking robot to finish cooking the target dish corresponding to the target dish information.
In an embodiment of the present invention, the method may further include the following steps:
the dining areas comprise a plurality of dining areas, and the number of dining people in each dining area in the dining room is estimated based on the monitoring data; determining a first dining area with the number of dining people exceeding a first threshold value and a second dining area with the number of dining people not exceeding a second threshold value; the first threshold is greater than the second threshold; and displaying prompt information for guiding the user to go to the second dining area on the display screen corresponding to the first dining area.
In practical applications, the number of users that can be accommodated by each dining area is different, which may result in some users having no way to eat if a dining area has entered more users than can be accommodated.
In order to reasonably control the users in each dining area, the restaurant management system can pre-estimate the number of dining people in each dining area according to the monitoring data.
Specifically, the monitoring data may refer to image data, so that the image data may be identified, and dining areas that each user may go to may be estimated based on the identification result; and then the number of the dining people in each dining area is estimated. For example: the travel path trajectory of each user may be estimated, and then the dining area that the user may go to may be estimated based on the travel trajectory.
Then, the restaurant management system can take the dining area with the number of people having a meal exceeding a first threshold value as a first dining area, and take the dining area with the number of people having a meal lower than a second threshold value as a second dining area; wherein the first threshold is greater than the second threshold; the first threshold and the second threshold may be set according to actual conditions, for example: the number of users that can be actually accommodated in the dining area may be determined, and the embodiment of the present invention is not limited thereto.
After determining the first dining area and the second dining area, the restaurant management system determines a display screen corresponding to the first dining area and displays a prompt on the display screen for directing the user to the second dining area, such as: "A has more people in the dining area, please go to B has dinner the area"; therefore, the situation that a part of users cannot have meals or need to wait for too long time due to the fact that too many users go to the same dining area is avoided.
In the embodiment of the invention, the restaurant management system can acquire the monitoring data sent by the monitoring devices and determine the target user information of the target user entering the dining area according to the monitoring data; acquiring historical meal ordering information and health information corresponding to target user information; generating recommendation menu information according to the historical meal ordering information and the health information; sending the recommended menu information to a target terminal corresponding to the target user information; receiving target dish information returned by a target terminal, and determining a target cooking robot from a plurality of cooking robots; receiving dining time returned by the target terminal; determining the time length required for completion according to the target dish information; determining control starting time according to the length of time required for completing and the dining time, and judging whether the system time of the restaurant management system reaches the control starting time or not; and when the system time of the restaurant management system reaches the control starting time, controlling the target cooking robot according to the target dish information. By the embodiment of the invention, the cooking robot is controlled based on the meal ordering time of the user and the completion time required by dishes, and the phenomenon that the eating of the user is influenced by the too early or too late completion of the dishes is avoided.
In addition, the number of users in different dining areas is estimated, and the users are reasonably guided to go to the dining areas with smaller number of users, so that the time for the users to wait for dining is reduced.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 4, a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention is shown, which is applied to a restaurant management system connected to a plurality of monitoring devices and a plurality of cooking robots deployed in a restaurant;
specifically, the following modules may be included:
the user information determining module 401 is configured to obtain monitoring data sent by a plurality of monitoring devices, and determine target user information of a target user entering a dining area according to the monitoring data;
a sending module 402, configured to generate recommendation menu information according to the target user information, and send the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information;
the robot determining module 403 is configured to receive target dish information returned by the target terminal, and determine a target cooking robot from the multiple cooking robots;
and the control module 404 is configured to control the target cooking robot according to the target dish information.
In an embodiment of the present invention, the sending module 402 includes:
the acquisition submodule is used for acquiring historical meal ordering information and health information corresponding to the target user information;
and the menu generation submodule is used for generating recommended menu information according to the historical meal ordering information and the health information.
In an embodiment of the present invention, the robot determining module 403 includes:
the first robot determining submodule is used for determining the working state of each cooking robot; the automatic control system is used for taking the cooking robot in the idle state in the working state as a target cooking robot.
In an embodiment of the present invention, the robot determining module 403 includes:
the second robot determining submodule determines target priority level information of the target dish information; and taking the cooking robots with priority level information of incomplete dish information smaller than the target priority level information as target cooking robots.
In an embodiment of the present invention, the user information determining module 401 includes:
the recognition result generation submodule is used for recognizing the monitoring data and generating a user recognition result aiming at a target user entering the dining area;
the judgment submodule is used for judging whether the target user entering the dining area is a preset dining user or not according to the user identification result;
and the information acquisition submodule is used for acquiring the information of the target user based on the user identification result when the target user entering the dining area is judged to be the preset dining user.
In an embodiment of the present invention, the apparatus further includes:
the dining time determining module is used for receiving the dining time returned by the target terminal;
the control module 404 is configured to determine a time length required for completion according to the target dish information; determining control starting time according to the length of time required for completing and the dining time, and judging whether the system time of the restaurant management system reaches the control starting time or not; and when the system time of the restaurant management system reaches the control starting time, executing a step of controlling the target cooking robot according to the target dish information.
In an embodiment of the present invention, the dining area includes a plurality of dining areas, and the apparatus further includes:
the guide module is used for predicting the number of dining people in each dining area in the restaurant based on the monitoring data; determining a first dining area with the number of dining people exceeding a first threshold value and a second dining area with the number of dining people not exceeding a second threshold value; the first threshold is greater than the second threshold; and displaying prompt information for guiding the user to go to the second dining area on the display screen corresponding to the first dining area.
In the embodiment of the invention, the restaurant management system can acquire monitoring data sent by a plurality of monitoring devices and determine the target user information of the target user entering the dining area according to the monitoring data; generating recommendation menu information according to the target user information, and sending the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information; receiving target dish information returned by a target terminal, and determining a target cooking robot from a plurality of cooking robots; and controlling the target cooking robot according to the target dish information. According to the embodiment of the invention, the intelligent calling of the cooking robot for cooking dishes by the restaurant management system according to the monitoring data is realized; and dishes are recommended to the user based on the user information, and the cooking robot is controlled to cook corresponding dishes based on the dishes selected by the user, so that different requirements of different users can be met, and the user experience is improved.
The embodiment of the invention also provides a server, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein the computer program realizes the data processing method when being executed by the processor.
The embodiment of the invention also provides a computer readable storage medium, a computer program is stored on the computer readable storage medium, and the computer program is executed by a processor to realize the data processing method.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The data processing method and apparatus provided above are introduced in detail, and a specific example is applied in this document to illustrate the principle and the implementation of the present invention, and the above description of the embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A data processing method applied to a restaurant management system connected to a plurality of monitoring devices and a plurality of cooking robots deployed in a restaurant, the method comprising:
acquiring monitoring data sent by the monitoring devices, and determining target user information of a target user entering a dining area according to the monitoring data;
generating recommendation menu information according to the target user information, and sending the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information;
receiving target dish information returned by the target terminal, and determining a target cooking robot from the plurality of cooking robots;
and controlling the target cooking robot according to the target dish information.
2. The method of claim 1, wherein the generating recommendation menu information according to the target user information comprises:
acquiring historical meal ordering information and health information corresponding to the target user information;
and generating recommended menu information according to the historical meal ordering information and the health information.
3. The method of claim 1, wherein said determining a target cooking robot from said plurality of cooking robots comprises:
determining the working state of each cooking robot;
and taking the cooking robot with the working state in the idle state as the target cooking robot.
4. The method of claim 1, wherein said determining a target cooking robot from said plurality of cooking robots comprises:
determining target priority level information of the target dish information;
and taking the cooking robots with priority level information of incomplete dish information smaller than the target priority level information as the target cooking robots.
5. The method of claim 1, wherein determining target user information for target users entering a dining area based on the monitored data comprises:
identifying the monitoring data to generate a user identification result aiming at a target user entering a dining area;
judging whether the target user entering the dining area is a preset dining user or not according to the user identification result;
and when the target user entering the dining area is judged to be a preset dining user, acquiring target user information based on the user identification result.
6. The method of claim 1, further comprising:
receiving the dining time returned by the target terminal;
the controlling the target cooking robot according to the target dish information comprises the following steps:
determining the time length required for completion according to the target dish information;
determining control starting time according to the length of the time required for completing and the dining time, and judging whether the system time of the restaurant management system reaches the control starting time or not;
and when the system time of the restaurant management system reaches the control starting time, executing a step of controlling the target cooking robot according to the target dish information.
7. The method of any of claims 1-6, wherein the dining area includes a plurality of, the method further comprising:
predicting the number of dinning people in each dinning area in the dinning room based on the monitoring data;
determining a first dining area with the number of dining people exceeding a first threshold value and a second dining area with the number of dining people not exceeding a second threshold value; the first threshold is greater than the second threshold;
and displaying prompt information for guiding the user to go to a second dining area on the display screen corresponding to the first dining area.
8. A data processing apparatus applied to a restaurant management system connected to a plurality of monitoring devices and a plurality of cooking robots deployed in a restaurant, the apparatus comprising:
the user information determining module is used for acquiring monitoring data sent by the monitoring devices and determining target user information of a target user entering a dining area according to the monitoring data;
the sending module is used for generating recommendation menu information according to the target user information and sending the recommendation menu information to a target terminal corresponding to the target user information; the recommended menu information comprises at least one dish information;
the robot determining module is used for receiving target dish information returned by the target terminal and determining a target cooking robot from the plurality of cooking robots;
and the control module is used for controlling the target cooking robot according to the target dish information.
9. A server, characterized by comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the data processing method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the data processing method of any one of claims 1 to 7.
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