CN112116985A

CN112116985A - Canteen monitoring system applied to aged-care community and dish recommending method

Info

Publication number: CN112116985A
Application number: CN202010997093.5A
Authority: CN
Inventors: 史曾源; 龙珏男; 张琪
Original assignee: China Construction Bank Corp
Current assignee: China Construction Bank Corp
Priority date: 2020-09-21
Filing date: 2020-09-21
Publication date: 2020-12-22

Abstract

The invention discloses a canteen supervision system applied to an aged-care community and a dish recommendation method, and relates to the technical field of computers. One embodiment of the method comprises: the system comprises a safety monitoring system and a meal ordering/delivering system, wherein the safety monitoring system is used for monitoring canteen equipment and food materials; the meal ordering/delivering system is used for providing on-line meal ordering and delivering service and off-line meal ordering service in a dining room. The embodiment provides a dining room monitoring system which can monitor the safety environment of a dining room and provide meal ordering/delivering services, so that more safety guarantees and eating benefits are provided for old people in a community dining room, and convenience is provided for managers and caregivers.

Description

Canteen monitoring system applied to aged-care community and dish recommending method

Technical Field

The invention relates to the technical field of computers, in particular to a canteen supervision system applied to an aged-care community and a dish recommendation method.

Background

With the increasing aging process of the population in China, the problem of aging is gradually highlighted. At present, many apartments and old communities for the aged are provided with nursing personnel for daily care in the society, but the dining halls of the old communities have great problems. For example, the elderly have poor physical quality, and the working environment and food materials of a canteen need to be clean and sanitary; the old with inconvenient actions can not go to a dining room for eating.

In the process of implementing the invention, the inventor finds that the prior art has at least the following problems: at present, various management of canteens are disorderly, and an intelligent supervision system is lacked for counting and managing, so that more safety guarantees and eating benefits are provided for the old in community canteens, and convenience is provided for managers and caregivers.

Disclosure of Invention

In view of this, the embodiment of the present invention provides a dining room monitoring system and a dish recommendation method applied to an aged-care community, which can at least solve the problem that various management of the existing aged-care dining room is disordered.

To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a canteen supervision system applied to an elderly community, including a security supervision system and a meal ordering/delivering system:

the safety supervision system is used for supervising the canteen equipment and the food materials;

the meal ordering/delivering system is used for providing on-line meal ordering and delivering service and off-line meal ordering service in a dining room.

Optionally, the safety supervision system comprises an equipment supervision module and a food material supervision module, wherein,

the equipment supervision module is used for receiving input of canteen equipment data and triggering alarm reminding when the data exceeds a preset data range;

the food material supervision module is used for responding to the sample reserving operation of the dishes, determining the sample reserving time and the sample reserving place, and establishing the corresponding relation among the dishes, the sample reserving time and the sample reserving place; monitoring the placing time of the dishes, and triggering an alarm prompt when the placing time exceeds a preset time threshold; and monitoring the temperature of the dish, and heating the dish when the temperature is lower than a preset temperature threshold value.

Optionally, the system further comprises a report management system for recording the operation information of the canteen.

To achieve the above object, according to another aspect of an embodiment of the present invention, there is provided a dish recommending method including:

within a first preset historical duration, dishes purchased by a user through the meal ordering/delivering system are obtained, the occurrence frequency of each food material in the purchased dishes is counted, and the occurrence frequency is used as the preference degree of the user to the corresponding food material;

and determining the preference degree of the user for each dish to be sold based on the preference degree of the user for each food material, and recommending the dishes to be sold in sequence according to the sequence of the preference degrees from large to small.

Optionally, the using the occurrence frequency as the preference of the user for the corresponding food material further includes:

acquiring dishes searched by a user in the meal ordering/delivering system within a second preset historical time;

and counting the occurrence frequency of each food material in the search dishes, and calculating the preference degree of the user to the corresponding food material by combining the occurrence frequency of each food material in the purchase dishes.

acquiring negative feedback data of a user in the meal ordering/delivering system within a third preset historical duration;

and counting the occurrence frequency of each food material in the negative feedback data, and calculating the preference degree of the user to the corresponding food material by combining the occurrence frequency of each food material in the dish purchase.

Optionally, the recommending the dishes for sale in order according to the preference degrees from large to small further includes:

establishing a preference vector based on the preference degree of the user to each food material, calculating the similarity between the preference vector and the preference vectors of other users, and determining similar users with the similarity exceeding a preset similarity threshold;

and acquiring the dishes recommended to the similar users at present, and taking intersection with the recommended dishes of the users so as to recommend the dishes to be sold in the intersection in sequence according to the sequence of the preference degrees from large to small.

To achieve the above object, according to still another aspect of the embodiments of the present invention, there is provided an electronic device of a canteen supervision system.

The electronic device of the embodiment of the invention comprises: one or more processors; a storage device for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement any of the canteen monitoring systems described above.

To achieve the above object, according to a further aspect of the embodiments of the present invention, there is provided a computer readable medium having a computer program stored thereon, the program, when executed by a processor, implementing any of the canteen supervision systems described above.

According to the scheme provided by the invention, one embodiment of the invention has the following advantages or beneficial effects: aiming at the dining room development and supervision system of the aged-care community, the system is divided into a safety supervision system, a meal ordering/delivering system and a report management system; in addition, a recommendation algorithm is used for analyzing recent behaviors of the old to generate a recommendation menu during ordering, so that dishes are more in line with the taste of the old, and the use experience is improved.

Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.

Drawings

The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:

fig. 1 is a schematic main structural diagram of a canteen supervision system applied to an aged-care community according to an embodiment of the invention;

FIG. 2 is a flowchart illustrating a method for recommending dishes according to an embodiment of the present invention;

FIG. 3 is a block diagram of a recommendation algorithm;

FIG. 4 is a schematic overall implementation flow diagram;

FIG. 5 is a flow chart diagram of an alternative dish recommendation method according to an embodiment of the present invention;

FIG. 6 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;

FIG. 7 is a schematic block diagram of a computer system suitable for use with a mobile device or server implementing an embodiment of the invention.

Detailed Description

Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

Referring to fig. 1, a main schematic diagram of a canteen supervision system 100 applied to an elderly community according to an embodiment of the present invention is shown, including the following steps:

101: the safety supervision system is used for supervising the canteen equipment and the food materials;

102: the meal ordering/delivering system is used for providing on-line meal ordering and delivering service and off-line meal ordering service in a dining room;

103: and the report management system is used for recording the running information of the canteen.

In the embodiment, the intelligent monitoring system is developed for the dining hall of the aged-care community and is divided into a safety monitoring system, a meal ordering/delivering system and a report management system.

1) The safety supervision system comprises supervision on the production environment of the canteen and supervision on the canteen food materials;

the method is used for monitoring the production environment of a canteen, such as a cooking bench, a range hood, a cooker and the like. The data of each device needs to be tested manually, after the test is finished, the data are input into a system, and the system is preset with some inspection standards, such as whether the cooking bench is greasy or not, whether food residues exist or not, whether the devices of the cooking bench work normally or not and the like. And setting a score (namely a preset data range) for the inspection standard item, judging whether each numerical value reaches the standard or not according to the obtained score after a user inputs data into the system, and triggering alarm reminding for equipment which does not reach the standard.

Secondly, food material safety supervision is used for a visual sample record during inspection of a food safety department, and the food material safety supervision method comprises the following steps:

i, performing sample keeping inspection on food materials, establishing a relation of dish name-producer-sampling time-sampling place-inspector-inspection time, and inputting the relation into a system for statistics;

ii, monitoring the placing time of the dishes, and if the placing time exceeds a preset time threshold value, carrying out reminding statistics;

and iii, monitoring the temperature of the dishes in real time, and intelligently heating the dishes with lowered temperature.

2) The meal ordering and delivering system is divided into an online part and an offline part.

The online application mainly aims at old people who are inconvenient to move and cannot have meals in a community dining room, and the old people can order and send meals through the APP.

Secondly, ordering can be carried out in the community dining room when the dining room is offline. The recent behavior of the elderly can be analyzed by using a recommendation algorithm during ordering to generate a recommendation menu, which is described in detail with reference to fig. 2.

3) And the report management system is used for facilitating management of canteen workers. The report management system comprises a financial report, an old people information report and a dining room dining condition report so as to count the daily operation information of the dining room. The management personnel can conclude that those dishes remain more according to the report form every day, and the old man has a dinner the number of people is less on which day, combines financial statement can provide reasonable purchase task for purchasing personnel, reduces the daily expense in dining room.

The method provided by the embodiment provides the dining room monitoring system which can monitor the safe environment of the dining room and provide meal ordering/delivering service, so that more safety guarantees and eating benefits are provided for the old in the dining room of the community, and convenience is provided for managers and caregivers.

Referring to fig. 2, a flowchart of a dish recommendation method according to an embodiment of the present invention is shown, including the following steps:

s201: within a first preset historical duration, dishes purchased by a user through the meal ordering/delivering system are obtained, the occurrence frequency of each food material in the purchased dishes is counted, and the occurrence frequency is used as the preference degree of the user to the corresponding food material;

s202: and determining the preference degree of the user for each dish to be sold based on the preference degree of the user for each food material, and recommending the dishes to be sold in sequence according to the sequence of the preference degrees from large to small.

In the foregoing embodiment, the present embodiment mainly teaches a meal ordering/delivery system, which uses a recommendation algorithm to analyze recent meal ordering behaviors of the elderly and provide a recommendation menu.

For step S201, referring to fig. 3, a framework of a recommendation algorithm collects various ordering behaviors of the elderly, mainly including active behavior data and negative feedback data, in a "data production and data storage process" of the recommendation algorithm:

1) the active behavior data refers to the behaviors of searching, screening, clicking, collecting, ordering, paying, grading and the like of the user;

2) negative feedback data is negative behaviors such as left-slide deletion, collection cancellation, order cancellation, refund, negative evaluation, low evaluation and the like.

The data are collected into a candidate set and used for calculating the preference of the old people to each food material, and the implementation mode can be diversified:

example one: and acquiring dishes purchased by the user through the meal ordering/delivering system within a first preset historical time, counting the occurrence frequency of each food material in the purchased dishes, and taking the occurrence frequency as the preference degree of the user to the corresponding food material.

Example two: within a first preset historical duration, dishes purchased by a user through the meal ordering/delivering system are obtained, and the occurrence frequency of each food material in the purchased dishes is counted;

Example three: within a first preset historical duration, dishes purchased by a user through the meal ordering/delivering system are obtained, and the occurrence frequency of each food material in the purchased dishes is counted;

Example four: within a first preset historical duration, dishes purchased by a user through the meal ordering/delivering system are obtained, and the occurrence frequency of each food material in the purchased dishes is counted;

acquiring dishes searched by the user in the meal ordering/delivering system within a second preset historical duration, counting the occurrence frequency of each food material in the searched dishes,

and counting the occurrence frequency of each food material in the negative feedback data, and calculating the preference degree of the user to the corresponding food material by combining the occurrence frequency of each food material in the dish purchasing process and the occurrence frequency of each food material in the dish searching process.

In the above example, the dishes purchased by the user are considered first, and the preference of the food material is preferably determined based on the number of occurrences of the food material in the purchased dishes. As a further optimization, dishes searched by the user may be considered, and the preference may be determined in combination with the two. However, the user needs to consider a situation that the user purchases a certain dish but finds that the dish is disliked to eat, so the dislike degree needs to be subtracted from the originally calculated preference degree. And as the user continuously orders, evaluates and searches dishes every day, the preference degree of each food material can be dynamically changed.

For step S202, after the preference of the user for each food material is obtained through calculation, the preference of the user for each dish to be sold may be calculated. Assuming that a certain dish includes A, B, C three food materials, of which the preference degree for a is 0.5, the preference degree for B is 0.6, and the preference degree for C is 0.1, the preference degree for the dish is calculated to be (0.5+0.6+0.1 — 1.2). The calculation method includes, but is not limited to, a calculation method commonly used in the art may be considered.

The dish recommendation is carried out according to the preference degree of each dish to be sold by the user, the personalized behavior of the user is emphasized, and for example, if the old people do not like to eat carrots, the dishes to be sold containing the carrots are removed. To further narrow down the dish candidate set, consider using a collaborative filtering algorithm, filtering by a combination of user-based and item-based. User-based focuses more on the classification of similar groups, and often neglects the personalized interests of users, for example, the User-based is recommended by other old people with similar dietary habits, Item-based focuses more on the personalized behaviors of users, and a class of similar User groups is difficult to separate, and the two methods are combined to reasonably select training data and filter out a useful data set to the greatest extent.

For example, the old people eat tomatoes, cucumbers and bean curds continuously for a week, the recommended dishes are tomatoes, cucumbers and bean curds, the old people eat green vegetables suddenly on a certain day, the tomatoes, cucumbers and bean curds are still recommended through user-based, and the item-based recommends tomatoes, cucumbers, bean curds and green vegetables. The User-based has slow response to the new User behaviors, only pays attention to the group behaviors, and the same dish is eaten for 1 week continuously; item-based is sensitive to personalized behaviors of the user, so that green vegetables are added to a recommendation menu, but the green vegetables are not liked by the user, only the green vegetables are left in the day, and the user cannot select the item-based. Therefore, the user-based behavior can be obtained more accurately by combining the user-based behavior and the item-based behavior.

In the preference degree after the update by the negative feedback data, there may be a case where the preference degree is negative, and thus it may be set to 0, and it may be set to 1 for the preference degree being positive. Referring to fig. 5, in the User-based algorithm, a preference vector is established based on the preference of a User to each food material, the similarity between the preference vector and the preference vectors of other users is calculated, and a similar User with the similarity exceeding a preset similarity threshold is determined; and acquiring the dishes recommended to the similar users at present, and taking intersection with the recommended dishes of the users so as to recommend the dishes to be sold in the intersection in sequence according to the sequence of the preference degrees from large to small.

Referring to FIG. 4:

1. obtaining click logs and order-placing logs of all users in real time by using spark, and analyzing the preference degree of the users to all food materials through Storm analysis;

2. setting the preference degree to be positive as 1 and setting the preference degree to be negative as 0 so as to construct a preference degree vector, and then storing the preference degree vector into HBase;

3. updating the weight through the FTRL in real time; the FTRL algorithm is an algorithm for updating feature weight, can abstract real-time user behavior obtained by storm into a Regression coefficient in Logistic Regression, namely the weight of a model, and uses model parameters of a new Regression coefficient for filtering a candidate set to generate a new recommendation menu;

4. receiving a user login request, and calculating the preference degree of each dish to be sold according to the preference degree of the user to each food material to obtain a recommended dish set; the preference degree of a user for each dish to be sold can be calculated through a Logistic Regression two-class linear model;

5. calculating the similarity between the food material preference degree vector of the user and the food material preference degree vectors of other users, determining other users similar to the preference of the user, and acquiring a recommended dish set of the other users;

6. taking intersection of the two recommended dish sets to obtain a dish set recommended to the user finally;

7. and recommending the dishes in sequence according to the sequence of the preference degrees of the users for the dishes from large to small.

After the ordering is finished, the food delivery service is needed. The meal delivery system of the dining room in the aged-care community is delivered by volunteers in the community or by the old people eating in the dining room in the breeze, the meal delivery records of the old people are stored in a time bank, and various services or voucher exchange can be carried out in the time bank through the meal delivery system.

The time bank is a system for exchanging the time of the artificial labor of the old people into a community endowment service or a community canteen cash voucher in the community. The time for the old to help the user to distribute or clean the other old with inconvenient actions is recorded into a time bank in minutes, and some exchangeable community service items are set in the time bank: the services of washing hair, cutting hair, cleaning and the like, or the money voucher of a community dining room can be used for removing part of the meal fee when the meal is consumed in the dining room.

The offline community dining room is also provided with a matched self-service ordering system, a recommendation menu can be generated through the recommendation algorithm according to recent behaviors of a plurality of old people on the machine, the old people card or the mobile phone NFC function can be swiped when payment orders are made, and if the payment is inconvenient, the face recognition payment function is also added.

According to the method provided by the embodiment, the ordering/delivering system analyzes the preference degree of the old people to each food material according to the behavior data of the old people so as to produce the recommendation menu, and can deliver orders to be recorded into a time bank and provide a function of exchanging various services for the condition that other people carry out delivery in a sequential manner.

FIG. 6 illustrates an exemplary system architecture 600 to which embodiments of the invention may be applied.

As shown in fig. 6, the system architecture 600 may include

terminal devices

601, 602, 603, a network 604, and a server 605 (by way of example only). The network 604 serves to provide a medium for communication links between the

terminal devices

601, 602, 603 and the server 605. Network 604 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.

A user may use the

terminal devices

601, 602, 603 to interact with the server 605 via the network 604 to receive or send messages or the like. Various communication client applications can be installed on the

terminal devices

601, 602, 603.

The

terminal devices

601, 602, 603 may be various electronic devices having display screens and supporting web browsing, and the server 605 may be a server providing various services.

It should be noted that the method provided by the embodiment of the present invention is generally executed by the server 605, and accordingly, the apparatus is generally disposed in the server 605.

It should be understood that the number of terminal devices, networks, and servers in fig. 6 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to FIG. 7, shown is a block diagram of a computer system 700 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.

As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU)701, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.

The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.

In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 701.

It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a security supervision system, and an order/delivery system. Wherein the names of the modules do not in some cases constitute a limitation of the module itself.

As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise:

According to the technical scheme of the embodiment of the invention, the monitoring system is developed aiming at the dining room of the aged-care community and is divided into a safety monitoring system, a meal ordering/delivering system and a report management system; in addition, a recommendation algorithm is used for analyzing recent behaviors of the old to generate a recommendation menu during ordering, so that dishes are more in line with the taste of the old, and the use experience is improved.

The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A canteen supervisory system applied to an aged-care community comprises a safety supervisory system and a meal ordering/delivering system, and is characterized by comprising:

2. The system of claim 1, wherein the security surveillance system comprises an equipment surveillance module and a food material surveillance module, wherein,

3. The system of claim 1, further comprising a report management system for recording the operational information of the canteen.

4. A method of vegetable recommendation using the canteen supervision system of claim 1, comprising:

5. The method of claim 4, wherein the using the frequency of occurrence as the preference of the user for the corresponding food material further comprises:

6. The method according to claim 4 or 5, wherein the using the occurrence frequency as the preference of the user for the corresponding food material further comprises:

7. The method of claim 4, wherein the recommending the dishes for sale is performed in order of preference from big to small, further comprising:

8. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 4-7.

9. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 4-7.