CN115660292B - Carbon emission monitoring method and equipment based on catering consumption data processing - Google Patents
Carbon emission monitoring method and equipment based on catering consumption data processing Download PDFInfo
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Abstract
The application relates to the technical field of data processing and provides a carbon emission monitoring method and equipment based on restaurant consumption data processing, wherein the method comprises the steps of obtaining restaurant consumption data from a restaurant platform server, wherein the data comprise names and ordering numbers of dishes; inquiring the food names corresponding to the dishes by using the dish names; determining carbon emission data of the corresponding dishes according to the dish names and the food material names; determining carbon emission of dishes in the dining consumption data according to the carbon emission data of dishes and the ordering quantity of dishes; therefore, the calculation of carbon emission of catering consumption is completed, the monitoring of the carbon emission of catering consumption is realized, and due to the fact that overall calculation is not needed, the labor cost is reduced, and meanwhile, the instantaneity and the accuracy of carbon emission monitoring are improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a carbon emission monitoring method and equipment based on catering consumption data processing.
Background
Food consumption has a significant impact on climate change, unbalanced food consumption structures such as: high meat consumption, low vegetable intake, high-energy food intake, etc., resulting in increased emission of greenhouse gases.
In the prior art, carbon emission caused by the food consumption process is mostly determined based on statistical data of a national level or investigation data of a local area level, but the cost of field investigation and research is high, samples and representativeness are limited, and meanwhile, the carbon emission of food consumption cannot be monitored in time, so that hysteresis and accuracy of information are insufficient.
Disclosure of Invention
The application provides a carbon emission monitoring method and equipment based on restaurant consumption data processing, which aim to monitor carbon emission in a food consumption process based on processing of restaurant consumption data, reduce labor cost and improve instantaneity and accuracy of carbon emission monitoring.
In a first aspect, the present application provides a carbon emission monitoring method based on restaurant consumption data processing, the carbon emission monitoring method based on restaurant consumption data processing including the steps of:
obtaining food consumption data from a food platform server, wherein the food consumption data comprises the names of dishes and the corresponding ordering quantity of the dishes;
inquiring the food material names of the corresponding food materials of the dishes according to the dish names based on the dish food material semantic recognition model;
determining carbon emission data of dishes according to dish names and food material names based on the food carbon emission database;
Determining target carbon emission data corresponding to the catering consumption data according to the carbon emission data and the ordering quantity of dishes;
and sending target carbon emission data to the target terminal.
In a second aspect, the present application further provides a carbon emission early warning method based on restaurant consumption data processing, where the carbon emission early warning method based on restaurant consumption data processing includes the following steps:
obtaining food consumption data from a food platform server, wherein the food consumption data comprises the names of dishes and the corresponding ordering quantity of the dishes;
inquiring the food material names of the corresponding food materials of the dishes according to the dish names based on the dish food material semantic recognition model;
determining carbon emission data of dishes according to dish names and food material names based on the food carbon emission database;
determining target carbon emission data corresponding to the catering consumption data according to the carbon emission data and the ordering quantity of the food materials;
and if the target carbon emission data meets the preset early warning conditions, sending early warning information to the target terminal.
In a third aspect, the present application also provides a computer device comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the carbon emission monitoring method based on restaurant consumer data processing as described above.
The application provides a carbon emission monitoring method, an early warning method, equipment and a computer readable storage medium based on restaurant consumption data processing, wherein the carbon emission monitoring method based on the restaurant consumption data processing obtains restaurant consumption data from a restaurant platform server, and the restaurant consumption data comprises dish names of dishes and ordering quantity corresponding to the dishes; inquiring the food material names of the corresponding food materials of the dishes according to the dish names based on the dish food material semantic recognition model; determining carbon emission data of dishes according to dish names and food material names based on the food carbon emission database; determining target carbon emission data corresponding to the catering consumption data according to the carbon emission data and the ordering quantity of the food materials; according to the method and the device, the target carbon emission data is sent to the target terminal, the dish food material semantic recognition model is utilized, the food material names of dishes corresponding to the food materials are determined through the dish material names, so that the carbon emission data of the food materials contained in the dishes can be determined according to the dish material names and the food material names of the corresponding food materials, meanwhile, the quantity of orders of the dishes is acquired to determine the consumption quantity of the food materials, the carbon emission of each dish in the food consumption data is calculated according to the consumption quantity of the dishes, the food materials, the carbon emission data corresponding to the food materials and other multi-source data, and the carbon emission of each dish in the food consumption data is calculated to determine the target carbon emission data corresponding to the food consumption data, and therefore carbon emission monitoring of the food consumption data is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application.
Fig. 1 is a schematic flow chart of a carbon emission monitoring method based on catering consumption data processing according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a scenario of a carbon emission monitoring method based on restaurant consumption data processing provided in the present application;
fig. 3 is a schematic flow chart of a carbon emission early warning method based on catering consumption data processing according to an embodiment of the present disclosure;
fig. 4 is a schematic block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
The embodiment of the application provides a carbon emission monitoring method based on catering consumption data processing, a carbon emission early warning method based on catering consumption data processing, computer equipment and a computer readable storage medium. The carbon emission monitoring method based on catering consumption data processing and/or the carbon emission early warning method based on catering consumption data processing can be applied to terminal equipment, and the terminal equipment can be electronic equipment such as a tablet computer, a notebook computer and a desktop computer. The cloud server can be applied to a server, and can be a single server or a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDNs), basic cloud computing services such as big data and artificial intelligence platforms and the like.
The application takes a server as an example of the application of the carbon emission monitoring method based on catering consumption data processing, and some embodiments of the application are described in detail with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic flow chart of a carbon emission monitoring method based on restaurant consumption data processing according to an embodiment of the present application. Fig. 2 is a usage scenario diagram of a carbon emission monitoring method based on catering consumption data processing provided by the application.
As shown in fig. 1, the carbon emission monitoring method based on restaurant consumption data processing includes steps S101 to S105.
Step S101, food consumption data are obtained from a food platform server, wherein the food consumption data comprise the names of dishes and the ordering quantity corresponding to the dishes.
Optionally, as shown in fig. 2, the terminal may obtain the dining consumption data from the dining table server, where the dining consumption data is a name of a dish of the dishes sold in the target time range and a corresponding ordering number of the dishes, so as to monitor carbon emission caused by dining consumption in a certain time range. It will be appreciated that the target time range is in units of one of year, month, and day, and the present application is not limited to the target time range.
Optionally, the dining platform server can be in communication connection with a terminal of a dining establishment and a terminal of a food enterprise, so as to obtain corresponding dining consumption data from the terminal of the dining establishment and/or the terminal of the food enterprise. The catering mechanism comprises a catering shop, a dining hall and the like.
Optionally, the catering consumption data can be obtained through a web crawler.
It can be understood that when the catering platform server or the web crawler acquires the catering consumption data, order information and personal privacy information of a user are not involved, so that the acquisition difficulty of the catering consumption data is reduced, and the efficiency and the accuracy of the accounting of carbon emission of the catering food are improved. And meanwhile, the catering consumption data are acquired from different servers, so that carbon emission generated by different objects, such as different target groups and/or catering consumption data corresponding to groups in different areas, can be monitored, and the applicability of the method is improved.
In a specific implementation process, the obtained dining consumption data can be shown in a dish-ordering quantity table.
Dish-ordering quantity meter
| Vegetable name | Number of orders |
| GONGBAOJIDING set meal | 10 |
| Preserved egg and lean meat porridge and deep-fried dough stick package | 35 |
| Sweet and sour gurgling chicken balls | 20 |
| Fragrant curry potato chick | 20 |
It should be noted that the dining consumption data in the dish-ordering quantity table is only an exemplary illustration, and the dining consumption data in the present application is not limited.
Step S102, inquiring the food material names of the corresponding food materials of the dishes according to the dish names based on the dish food material semantic recognition model.
Illustratively, the dish names in the catering consumption data are input into a dish food material semantic recognition model, so that the dish food material semantic recognition model performs semantic recognition on the dish names, and the food material names of the dishes corresponding to the food materials are obtained.
For example, preserved egg and lean meat porridge is input into a dish semantic recognition model, and the names of food materials such as preserved eggs, pork and rice can be obtained, so that the food materials contained in dishes can be determined according to the names of the food materials output by the dish semantic recognition model, and the carbon emission generated in the process of manufacturing the dishes can be determined.
In some embodiments, based on the dish food material semantic recognition model, querying the food material name of the corresponding food material of the dish according to the dish name includes: performing food name keyword extraction processing on the dish names based on a keyword extraction network of the dish food semantic recognition model to obtain a plurality of food name keywords to be processed; performing verification processing on the food name keywords to be processed based on the keyword verification network of the dish food semantic identification model to obtain food names meeting verification conditions; and taking the food material names meeting the verification conditions as the food material names of the corresponding food materials of the dishes.
By way of example, the keyword extraction network is used for word segmentation and keyword extraction of the vegetable names to obtain a plurality of food name keywords to be processed, for example, the word segmentation and keyword extraction process is used for preserved egg and lean meat porridge to obtain the food name keywords to be processed by preserved egg, lean meat and porridge.
Illustratively, a plurality of food material name keywords to be processed are input to a keyword verification network, so that verification processing is performed on the food material name keywords to be processed, wherein the verification processing may be, for example, by acquiring other dish names and/or comparing food components from a food component database, and determining whether the food material name keywords meet verification conditions by determining whether the food material name keywords appear in other dishes and/or whether the same food material names exist in the food component database, for example, whether the food material names same as lean meat exist in the food component database, so that lean meat is determined to meet the verification conditions; for another example, if the same food material name as the lion does not exist in the food composition database, it is determined that the lion does not meet the verification condition.
It can be understood that the extracted food material name keywords can be verified through the keyword verification network, so that the situation that the extracted food material name keywords do not have corresponding food materials, and subsequent data processing errors are caused is avoided.
The keyword extraction network may be obtained by training the keyword extraction network according to labeled keyword data, and parameters of the keyword extraction network may be obtained by learning and adjusting from the labeled keyword data based on an algorithm framework of online machine learning.
For example, the labeled keyword data may include a common corpus and/or a business corpus, where the common corpus is, for example, an on-source corpus keyword data, and the business corpus data may be a business corpus keyword data stored on a server running the content search method.
For example, the keyword extraction network and the sequence labeling of the words may be used to segment the names of the dishes and extract the keywords. For the character sequence of the input dish names, the keyword extraction network can annotate each character label in the dish names with a mark for identifying the boundary of the word, and a plurality of food name keywords in the dish names can be determined according to the mark for identifying the boundary of the word.
Illustratively, the vegetable names may also be segmented based on the keyword extraction network and the annotated keyword data. For the input dish names, the keyword extraction network can compare the dish names with the labeled keyword data, and according to the comparison result, the same or similar phrase is determined as a plurality of food material name keywords in the dish names.
It will be appreciated that the keyword verification network may also be trained in the manner described above and will not be repeated here.
By way of example, the food material name classification network may be, for example, a k-means clustering network or other neural network with classification and/or clustering functions, without limitation.
It can be appreciated that after determining the food materials included in the dining consumption data, the carbon emission data of each type of food materials can be determined according to the dish names and each type of food material names based on the food carbon emission database.
Step S103, determining carbon emission data corresponding to the dishes according to the dish names and the food material names based on a food carbon emission database.
Illustratively, traversing the food carbon emission database, and determining preset dish names with the same dish names in the food carbon emission database, wherein carbon emissions generated by the same food material in the process of processing the same food material into food by different cooking modes may be different, so that the food materials of different dishes also exist in the food carbon emission database corresponding to different cooking modes, and the carbon emissions corresponding to the cooking modes, for example, the cooking mode of the chicken food is steaming, the cooking mode of the chicken food is frying, and it is understood that the accuracy of determining the carbon emission data of the food can be improved by determining the cooking modes of the food in different dishes.
It should be noted that the carbon emission data of the food material is used to indicate life cycle carbon emission data of the food material category, such as life cycle carbon emission data of eggs.
In some embodiments, determining carbon emission data for a dish from a dish name and a food material name based on a food carbon emission database comprises: determining a cooking mode of the food material corresponding to the food material name according to the dish name and the food material name based on the food carbon emission database; and acquiring resource consumption information generated in the production process, the transportation process and the cooking process of the food materials, and determining carbon emission data corresponding to each type of food materials according to the acquired resource consumption information.
For example, the cooking mode corresponding to the food in the dish may be determined by using the dish name and the food name, so that the resource consumption information corresponding to the food may be determined according to the cooking process.
Illustratively, the carbon emission data corresponding to the food material is determined by acquiring resource consumption information generated by the food material during the production process, the transportation process and the cooking process. It can be understood that the carbon emission data of the food material can be determined according to the resource consumption information of the food material in the production process and the transportation process by acquiring the resource consumption information of the food material in the production process from the terminal of the food material production enterprise and acquiring the resource consumption information of the food material in the transportation process from the terminal of the transportation enterprise.
Optionally, the carbon emission data corresponding to the food material is determined by verifying the determined carbon emission data by using a double emission database of food carbon emission.
In some embodiments, the method further comprises: based on a dish information base, determining food materials contained in dishes and weight information corresponding to the food materials according to the food material names extracted from the dish names and verified; classifying the food material names, and determining at least one type of food material in the catering consumption data; determining weight information corresponding to each type of food according to weight information corresponding to the food contained in each dish and classification results of food names; determining carbon emission data of dishes according to dish names and food material names based on the food carbon emission database, comprising: based on the food carbon emission database, determining carbon emission data of each type of food material according to the dish name, the food material name and the weight information corresponding to each type of food material.
Optionally, the sorting process is performed on the food material names based on the food material name sorting network, so that at least one type of food material in the catering consumption data is determined, for example, after the food material names of lean meat, preserved egg and porridge are obtained, the sorting process is performed on the food material names so as to sort the lean meat into pork, the preserved egg into eggs, and the porridge into grains, that is, the preserved egg and lean meat porridge is determined to at least comprise the food materials of pork, eggs and grains, so that the food materials contained in the catering consumption data can be determined.
By way of example, the weight information corresponding to each type of food material in the food consumption data can be determined by the weight information corresponding to the food material contained in each dish in the food consumption data and the food material contained in the food consumption data, so as to determine the carbon emission data of each type of food material.
In a specific implementation process, the catering consumption data comprise chicken food, chicken food braised in soy sauce and cola chicken wing food, after the food names of the food are determined and classified, the food is obtained to comprise chicken meat food, wherein the weight information of chicken corresponding to the chicken food is determined to be 200g through a food carbon emission database, the weight information of chicken corresponding to the chicken food braised in soy sauce is determined to be 250g, the weight information of chicken corresponding to the cola chicken wing is determined to be 220g, and in the process of classifying the food names, the weight information corresponding to the food is summed and calculated to determine that the weight information corresponding to the chicken in the catering consumption data is 670g, so that the carbon emission data corresponding to 670g of chicken can be determined.
In other embodiments, the method further comprises: determining food materials contained in each dish according to the food material names; determining weight information of the food materials in each dish when the same food materials exist in at least two dishes; based on a preset estimation mode, determining weight information corresponding to each type of food according to weight information of the food in each dish; therefore, the carbon emission data of each type of food materials can be determined based on the food material database according to the dish names, the food material names and the weight information corresponding to each type of food materials.
For example, if at least two dishes have the same food materials, the food materials in the dining consumption data may be estimated based on a preset estimation mode, for example, the dining consumption data includes a chicken dish, a braised chicken dish and a cola chicken wing dish, it is determined that the weight information of the chicken corresponding to the chicken dish is 200g, the weight information of the chicken corresponding to the braised chicken dish is 250g, the weight information of the chicken corresponding to the cola chicken wing is 220g, and the weight information of the chicken in each dish is 223g±25g by using an estimation mode of independent variance t test, so as to obtain the weight information of the chicken food materials.
By means of the method for determining the weight information corresponding to the food materials in the dishes and the weight information of the food materials estimated according to the weight information corresponding to the food materials in the dishes, carbon emission data corresponding to various food materials can be determined, and after the carbon emission data corresponding to various food materials are obtained, target carbon emission data of catering consumption data can be determined according to the ordering quantity.
It should be noted that, the dishes contained in the foregoing dining consumption data are all exemplary descriptions, the dining consumption data may also contain other more or different dishes, and similarly, the dishes may also contain other dishes, which are not repeatedly written herein.
In some embodiments, the method further comprises: based on a preset inspection model, inspecting weight information corresponding to each type of food material determined by estimation; and if the weight information passes the inspection, determining the carbon emission data of each type of food material based on the food carbon emission database according to the dish name, the food material name and the weight information corresponding to each type of food material.
Illustratively, the estimated weight information corresponding to the food material and the weight information corresponding to the food material in each dish are input into a preset inspection model to determine whether the estimated result passes inspection.
For example, the estimated result that the weight information of the chicken in each dish is 223g plus or minus 25g, the weight information of the chicken corresponding to the chicken in the box is 200g, the weight information of the chicken corresponding to the braised chicken dish is 250g, the weight information of the chicken corresponding to the cola chicken wing is 220g is input into a preset test model, in a preset inspection model, normal distribution analysis is carried out on the weight information of the food materials in each dish, if the estimated result accords with the normal distribution result and the confidence interval is within 95%, the estimated result is determined to accord with inspection, and inspection passing information is output; if the estimated result does not accord with the normal distribution result or the confidence interval is not within 95%, outputting the failed detection information, and estimating again according to the weight information corresponding to the food materials in each type of dishes, so as to improve the reliability of the food material estimated result.
And step S104, determining target carbon emission data corresponding to the catering consumption data according to the carbon emission data of the dishes and the ordering quantity.
The consumption of various food materials in the food consumption data can be determined according to the dish names and the ordering quantity, so that the target carbon emission data of the food consumption data can be obtained through calculation according to the carbon emission data corresponding to the food materials determined in the steps.
For example, the weight of the consumed food material is determined by the order quantity, and the consumed amount of the food material is determined using the weight of the consumed food material.
In some embodiments, determining target carbon emission data corresponding to the dining consumption data according to the carbon emission data of the food material and the order quantity includes: according to the weight information corresponding to the food materials contained in the dishes and the ordering quantity corresponding to the dishes, the total weight information of the food materials in the catering consumption data is determined, and the target carbon emission data of the catering consumption data is determined according to the total weight information of the food materials.
The total weight information of each food in the dining consumption data is determined according to the weight information corresponding to each dish and the ordering quantity corresponding to each dish, so that the target carbon emission data of the dining consumption data can be determined according to the total weight information of the food.
For example, the weight information of chicken corresponding to the chicken in the chicken dish is 200g, the weight information of chicken corresponding to the chicken in the braised chicken dish is 250g, the weight information of chicken corresponding to cola chicken wings is 220g, meanwhile, the ordering quantity of the chicken in the chicken with the chicken in the chicken sauce is 10, the ordering quantity of the chicken in the chicken braised in the chicken sauce is 20, the ordering number of cola chicken wing dishes is 25, the total weight information of chicken in the catering consumption data is 12500g according to the food material name classification result, and the target carbon emission data of the catering consumption data is determined according to the total weight information of chicken.
For another example, in the case that the dishes contain a plurality of food materials, the number of consumption times of each type of food materials is determined by using the ordered number, and the total weight information of the food materials in the dining consumption data is determined according to the weight information of the food materials in the dishes and the number of consumption times of each type of food materials. If the order number is 35, determining that the number of occurrences of preserved eggs, lean meat and porridge is 35, that is, if the catering consumption data only include preserved egg food in the preserved egg lean meat porridge dishes, and the weight of the preserved eggs is 50g, the total weight information of the preserved egg food in the catering consumption data is 1750g; if the food consumption data further comprises preserved egg food materials contained in other dishes, the weight information of 1750g and the preserved egg food materials in the other dishes is utilized to determine the total weight information of the preserved egg food materials in the food consumption data so as to determine target carbon emission data corresponding to the food consumption data.
The above process can be calculated using the following formula:
wherein TFC indicates total weight information of the food material, j indicates the type of the food material, i indicates the dish;for indicating the frequency of occurrence of j food material in the dish (0 or 1 selected);for indicating the number of orders for i dishes;and the weight information is used for indicating the weight information of the j food materials in the i dishes.
It can be appreciated that the total weight information of each type of food material in the food consumption data can be determined through the formula, so that the target carbon emission data of the food consumption data can be determined according to the total weight information of each type of food material in the food consumption data.
In other embodiments, determining target carbon emission data corresponding to the dining consumption data according to the carbon emission data of the food material and the ordered quantity includes: determining consumption of each food material in the catering consumption data according to the ordering quantity corresponding to each food material, the food materials contained in each food material and the estimated weight information of each food material, and determining target carbon emission data of the catering consumption data according to the carbon emission data corresponding to each type of food material and the consumption corresponding to each food material.
For example, the weight information of chicken in the dining consumption data is estimated to be 223g in the above manner, and when the dining consumption data contains 10 orders of chicken in the bouillon and 20 orders of sweet and sour sweet corrink, the consumption of chicken in the dining consumption data is determined to be 6690g, and the target carbon emission data of the dining consumption data is determined according to the obtained chicken consumption. It can be understood that by the method, calculation is not required according to the weight information of the food materials contained in each dish and the corresponding ordering quantity, and after the weight information of the food materials is estimated, the ordering quantity can be used for determining the consumption of the food materials, so that the total weight information of the food materials in the catering consumption data is obtained, the efficiency of data processing is improved, and the real-time performance of carbon emission early warning is improved.
In a specific implementation, the target carbon emissions for the catering consumption data are calculated based on the following formula:
wherein, CF is used for indicating target carbon emission data, i is used for indicating food materials;is used for indicating the total weight information of the i food materials in the catering consumption data,and the carbon emission factor corresponding to the i food material is indicated.
It will be appreciated that the carbon emission factor of the food material can be obtained from a carbon economy platform server or from other databases or servers storing carbon emission factors of the food material.
Taking as an example that the dining consumption data comprises a ordering number of 20 sweet and sour gurgling chicken balls:
target carbon emission data for catering consumption data = 6690g x 3.4kgCe/kg=22.74kgCe。
It should be noted that the food consumption data further includes other dishes and food materials corresponding to the dishes, and the method can be used for performing similar processing on the other dishes and the food materials corresponding to the dishes, so that the target carbon emission data of the food consumption data is determined, after the target carbon emission data is determined according to the food consumption data, the carbon emission early warning can be performed on the basis of the food consumption data, manual access is not needed, early warning can be performed in real time, and the accuracy and the instantaneity of the carbon emission early warning are improved.
Step S105, transmitting target carbon emission data to the target terminal.
The target carbon emission data of the catering consumption data is obtained through accounting according to the food material types in the catering consumption data and the consumption amount of the food materials, and then the target carbon emission data is sent to the target terminal, so that a corresponding user can know the target carbon emission data, and the target carbon emission data is monitored. It can be appreciated that by monitoring target carbon emission data of the catering consumption data, a basis can be provided for food consumption structure adjustment and low-carbon menu personalized recommendation, and the consumption end carbon emission reduction is assisted.
It should be noted that, the carbon-based platform server stores carbon emission factors of various food materials, but users generally only know the food materials contained in dishes in the catering consumption data, so that the carbon-based platform server is difficult to accurately calculate carbon emission according to the catering consumption data corresponding to the users, and by using the method provided by the application, the catering consumption data of the users can be accurately calculated, so that support is provided for accurately quantifying individual food emission reduction.
According to the carbon emission monitoring method based on the catering consumption data processing, the catering consumption data are obtained from the catering platform server, and the catering consumption data comprise the names of dishes and the ordering quantity corresponding to the dishes; inquiring the food material names of the corresponding food materials of the dishes according to the dish names based on the dish food material semantic recognition model; determining carbon emission data of dishes according to dish names and food material names based on the food carbon emission database; determining target carbon emission data corresponding to the catering consumption data according to the carbon emission data and the ordering quantity of the food materials; according to the method, the dish material semantic recognition model is utilized, the dish material names corresponding to the dish materials are determined, so that the carbon emission data of the dish materials contained in the dish materials can be determined according to the dish material names and the corresponding dish material names, meanwhile, the ordered quantity is obtained to determine the consumption of the dish materials, the carbon emission data corresponding to the food materials and other multi-source data accounting is carried out to obtain the target carbon emission data corresponding to the food consumption data, so that the carbon emission is monitored, the target carbon emission data corresponding to the food consumption data can be monitored in real time, and due to the fact that overall calculation is not needed, the labor cost is reduced, and meanwhile, the efficiency, the instantaneity and the accuracy of carbon emission monitoring are improved.
It can be appreciated that, by the carbon emission monitoring method based on the restaurant consumption data processing, the monitoring of carbon emission generated by the restaurant consumption data of the individual and/or the target area crowd can be realized, for example, when the restaurant consumption data is acquired through the carbon universal platform server and the carbon emission is monitored according to the acquired restaurant consumption data, the monitoring of the carbon emission generated by the restaurant consumption data of the individual can be realized; for example, when the catering consumption data are obtained through the catering supply platform server and carbon emission is monitored according to the obtained catering consumption data, carbon emission generated by the catering consumption data of the crowd in the target area can be monitored, and carbon emission corresponding to the catering consumption data of different objects can be monitored through the catering consumption data obtained from different servers, so that the applicability of the method is improved.
Referring to fig. 3, fig. 3 is a flow chart of a carbon emission early warning method based on catering consumption data processing according to an embodiment of the present application.
As shown in FIG. 3, the carbon emission early warning method based on catering consumption data processing comprises steps S201-S205.
Step S201 to step S204 are described above as step S101 to step S104, and are not described herein.
Step S205, if the target carbon emission data meets the preset early warning conditions, early warning information is sent to a target terminal.
By monitoring target carbon emission data of the catering consumption data, early warning can be performed according to corresponding monitoring information, and early warning information is sent to the target terminal when the target carbon emission data meets preset early warning conditions.
In a specific implementation process, when the target carbon emission data accords with a preset early warning condition, sending a meal ordering suspending instruction or ordering quantity limiting information to the meal ordering platform server so as to reduce carbon emission.
In some embodiments, if the target carbon emission data meets the preset early warning condition, sending early warning information to the target terminal includes: and if the carbon emission value determined according to the target carbon emission data is greater than or equal to a carbon emission threshold value, sending early warning information to a target terminal.
For example, a carbon emission threshold is preset, and in the case where the carbon emission value determined from the target carbon emission data is greater than or equal to the carbon emission threshold, early warning information is transmitted to the target terminal.
In a specific implementation process, optionally, the carbon emission threshold is determined according to a food consumption structure, for example, carbon emissions corresponding to different foods are different, whether the food consumption structure of the user is reasonable can be determined by determining the carbon emission threshold through the food consumption structure, and the personalized recommendation of dishes can be performed on the user according to a determination result of whether the food consumption structure of the user is reasonable, so that the carbon emission is reduced, and meanwhile, the food consumption structure of the user can be optimized. It will be appreciated that the food consumption structure characterizes the composition of the types of food ingested by the user, such as the proportion of eggs and grains ingested by the user in the total food intake of the user.
Referring to fig. 4, fig. 4 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device may be a server or a terminal.
As shown in fig. 4, the computer device includes a processor, a memory, and a network interface connected by a system bus, wherein the memory may include a storage medium and an internal memory.
The storage medium may store an operating system and a computer program. The computer program comprises program instructions which, when executed, cause the processor to perform any one of the carbon emission monitoring methods based on restaurant consumption data processing.
The processor is used to provide computing and control capabilities to support the operation of the entire computer device.
The internal memory provides an environment for the execution of a computer program in the storage medium, which when executed by the processor, causes the processor to perform any one of the carbon emission monitoring methods based on restaurant consumer data processing.
The network interface is used for network communication such as transmitting assigned tasks and the like. Those skilled in the art will appreciate that the structures shown in FIG. 4 are block diagrams only and do not constitute a limitation of the computer device on which the present aspects apply, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
It should be appreciated that the processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein in one embodiment the processor is configured to run a computer program stored in the memory to implement the steps of:
obtaining food consumption data from a food platform server, wherein the food consumption data comprises the names of dishes of the dishes and the ordering quantity corresponding to the dishes;
inquiring the food material names of the corresponding food materials of the dishes according to the dish names based on a dish food material semantic recognition model;
determining carbon emission data of the dishes according to the dish names and the food material names based on a food carbon emission database;
determining target carbon emission data corresponding to the catering consumption data according to the carbon emission data of the dishes and the ordering quantity;
and sending target carbon emission data to the target terminal.
In one embodiment, when implementing the dish food material semantic recognition model, the processor is configured to, when querying a food material name of a food material corresponding to the dish according to the dish name, implement:
based on a keyword extraction network of the dish food semantic recognition model, carrying out food name keyword extraction processing on the dish names to obtain a plurality of food name keywords to be processed;
Based on a keyword verification network of the dish food material semantic recognition model, verifying the food material name keywords to be processed to obtain food material names meeting verification conditions;
and taking the food material names meeting the verification conditions as the food material names of the corresponding food materials of the dishes.
In one embodiment, the processor, when implementing the carbon emission monitoring method based on restaurant consumption data processing, is configured to implement:
based on a dish information base, determining food materials contained in the dishes and weight information corresponding to the food materials according to the dish names and the food material names extracted from the dish names and verified;
classifying the food material names, and determining at least one type of food material in the catering consumption data;
determining weight information corresponding to each type of food according to weight information corresponding to the food contained in each dish and a classification result of the food name;
the processor is configured to, when implementing the carbon emission data of the food material corresponding to the food material name according to the dish name and the food material name based on the food carbon emission database, implement:
and determining carbon emission data of each type of food material according to the dish name, the food material name and the weight information corresponding to each type of food material based on the food carbon emission database.
In one embodiment, the processor, when implementing the carbon emission monitoring method based on restaurant consumption data processing, is configured to implement:
determining food materials contained in each dish according to the food material names;
determining weight information of the food materials in each dish when at least two dishes exist with the same food materials;
based on a preset estimation mode, determining weight information corresponding to each type of food according to the weight information of the food in each dish;
the processor is configured to, when implementing the carbon emission data of the food material corresponding to the food material name according to the dish name and the food material name based on the food carbon emission database, implement:
and determining carbon emission data of each type of food material according to the dish name, the food material name and the weight information corresponding to each type of food material based on the food carbon emission database.
In one embodiment, the processor, when implementing the carbon emission monitoring method based on restaurant consumption data processing, is configured to implement:
based on a preset inspection model, inspecting weight information corresponding to each type of food material determined by estimation;
and if the weight information passes the inspection, determining carbon emission data of each type of food material based on a food carbon emission database according to the dish name, the food material name and the weight information corresponding to each type of food material.
In one embodiment, the processor is configured to, when determining target carbon emission data corresponding to the dining consumption data according to the carbon emission data of the food material and the ordered number, implement:
determining total weight information of food materials in the catering consumption data according to weight information corresponding to the food materials contained in the dishes and ordering quantity corresponding to the dishes, and determining target carbon emission data of the catering consumption data according to the total weight information of the food materials; or alternatively
Determining consumption of each food material in the catering consumption data according to the ordering quantity corresponding to each food material, the food materials contained in each food material and the estimated weight information of each food material, and determining target carbon emission data of the catering consumption data according to the carbon emission data corresponding to each type of food material and the consumption corresponding to each food material.
In one embodiment, when implementing the carbon emission data of the food material corresponding to the food material name according to the dish name and the food material name based on the food carbon emission database, the processor is configured to implement:
determining a cooking mode of food corresponding to the food material name according to the dish name and the food material name based on the food carbon emission database;
Acquiring resource consumption information generated by at least one process of producing, transporting, cooking and disposing the food material;
and determining carbon emission data corresponding to each type of food material according to the acquired resource consumption information.
Wherein in another embodiment the processor is configured to run a computer program stored in the memory to implement the steps of:
obtaining food consumption data from a food platform server, wherein the food consumption data comprises the names of dishes of the dishes and the ordering quantity corresponding to the dishes;
inquiring the food material names of the corresponding food materials of the dishes according to the dish names based on a dish food material semantic recognition model;
determining carbon emission data of food materials corresponding to the food material names according to the dish names and the food material names based on a food carbon emission database;
determining target carbon emission data corresponding to the catering consumption data according to the carbon emission data of the food materials and the ordering quantity
And if the target carbon emission data accords with the preset early warning condition, sending early warning information to a target terminal.
In one embodiment, the processor is configured to, when implementing that the target carbon emission data meets a preset early warning condition and sends early warning information to a target terminal, implement:
And if the carbon emission value determined according to the target carbon emission data is greater than or equal to a carbon emission threshold value, sending early warning information to a target terminal.
It should be noted that, for convenience and brevity of description, the specific working process of the carbon emission monitoring based on the restaurant consumption data processing and/or the carbon emission early warning based on the restaurant consumption data processing described above may refer to the corresponding process in the foregoing food carbon emission early warning control method embodiment based on the restaurant consumption data processing and/or the carbon emission early warning method embodiment based on the restaurant consumption data processing, which are not described herein again.
Embodiments of the present application further provide a computer readable storage medium, where a computer program is stored on the computer readable storage medium, where the computer program includes program instructions, and a method implemented when the program instructions are executed may refer to embodiments of the carbon emission monitoring method based on restaurant consumption data processing and/or the carbon emission early warning method based on restaurant consumption data processing.
The computer readable storage medium may be an internal storage unit of the computer device according to the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, which are provided on the computer device.
It is to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification 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 in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments. While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (7)
1. The carbon emission monitoring method based on catering consumption data processing is characterized by comprising the following steps of:
obtaining food consumption data from a food platform server, wherein the food consumption data comprises the names of dishes of the dishes and the ordering quantity corresponding to the dishes;
inquiring the food material names of the corresponding food materials of the dishes according to the dish names based on a dish food material semantic recognition model;
determining carbon emission data corresponding to the dishes according to the dish names and the food material names based on a food carbon emission database;
determining target carbon emission data corresponding to the catering consumption data according to the carbon emission data of the dishes and the ordering quantity;
Transmitting target carbon emission data to a target terminal;
wherein, based on dish food material semantic recognition model, according to the dish name inquiry the dish corresponds the food material's food material name, include: based on a keyword extraction network of the dish food semantic recognition model, carrying out food name keyword extraction processing on the dish names to obtain a plurality of food name keywords to be processed; based on a keyword verification network of the dish food material semantic recognition model, verifying the food material name keywords to be processed to obtain food material names meeting verification conditions; taking the food material names meeting the verification conditions as the food material names of the corresponding food materials of the dishes;
before determining carbon emission data corresponding to the dishes according to the dish names and the food material names based on the food carbon emission database, the method further comprises: based on a dish information base, determining food materials contained in the dishes and weight information corresponding to the food materials according to the dish names and the food material names extracted from the dish names and verified; classifying the food material names, and determining at least one type of food material in the catering consumption data; determining weight information corresponding to each type of food according to weight information corresponding to the food contained in each dish and a classification result of the food name; or alternatively
Determining food materials contained in each dish according to the food material names; determining weight information of the food materials in each dish when at least two dishes exist with the same food materials; based on a preset estimation mode, determining weight information corresponding to each type of food according to the weight information of the food in each dish;
the carbon emission data corresponding to the dishes is determined based on the food carbon emission database according to the dish names and the food material names, and the method comprises the following steps: and determining carbon emission data of each type of food material according to the dish name, the food material name and the weight information corresponding to each type of food material based on the food carbon emission database.
2. The method for monitoring carbon emissions based on restaurant consumption data processing according to claim 1, wherein after determining weight information corresponding to each type of food material according to weight information of the food material in each dish based on a preset estimation mode, the method further comprises:
based on a preset inspection model, inspecting weight information corresponding to each type of food material determined by estimation;
and if the weight information passes the inspection, determining carbon emission data of each type of food material based on a food carbon emission database according to the dish name, the food material name and the weight information corresponding to each type of food material.
3. The carbon emission monitoring method based on restaurant consumption data processing according to claim 1, wherein the determining target carbon emission data corresponding to the restaurant consumption data according to the carbon emission data of the dishes and the ordered number comprises:
determining total weight information of food materials in the catering consumption data according to weight information corresponding to the food materials contained in the dishes and ordering quantity corresponding to the dishes, and determining target carbon emission data of the catering consumption data according to the total weight information of the food materials; or alternatively
Determining consumption of each food material in the catering consumption data according to the ordering quantity corresponding to each food material, the food materials contained in each food material and the estimated weight information of each food material, and determining target carbon emission data of the catering consumption data according to the carbon emission data corresponding to each type of food material and the consumption corresponding to each food material.
4. A catering consumption data processing-based carbon emission monitoring method according to any one of claims 1-3, wherein the determining carbon emission data of each type of food material based on the food carbon emission database according to the dish name, the food material name and the weight information corresponding to each type of food material comprises:
Determining a cooking mode of food corresponding to the food material name according to the dish name and the food material name based on the food carbon emission database;
acquiring resource consumption information generated in the production process, the transportation process and the cooking process of the food material;
and determining carbon emission data corresponding to each type of food material according to the acquired resource consumption information, the dish name, the food material name and the weight information corresponding to each type of food material.
5. The carbon emission early warning method based on catering consumption data processing is characterized by comprising the following steps of:
obtaining food consumption data from a food platform server, wherein the food consumption data comprises the names of dishes of the dishes and the ordering quantity corresponding to the dishes;
inquiring the food material names of the corresponding food materials of the dishes according to the dish names based on a dish food material semantic recognition model;
determining carbon emission data of food materials corresponding to the food material names according to the dish names and the food material names based on a food carbon emission database;
determining target carbon emission data corresponding to the catering consumption data according to the carbon emission data of the food materials and the ordering quantity;
If the target carbon emission data meets the preset early warning conditions, early warning information is sent to a target terminal;
wherein, based on dish food material semantic recognition model, according to the dish name inquiry the dish corresponds the food material's food material name, include: based on a keyword extraction network of the dish food semantic recognition model, carrying out food name keyword extraction processing on the dish names to obtain a plurality of food name keywords to be processed; based on a keyword verification network of the dish food material semantic recognition model, verifying the food material name keywords to be processed to obtain food material names meeting verification conditions; taking the food material names meeting the verification conditions as the food material names of the corresponding food materials of the dishes;
before determining carbon emission data corresponding to the dishes according to the dish names and the food material names based on the food carbon emission database, the method further comprises: based on a dish information base, determining food materials contained in the dishes and weight information corresponding to the food materials according to the dish names and the food material names extracted from the dish names and verified; classifying the food material names, and determining at least one type of food material in the catering consumption data; determining weight information corresponding to each type of food according to weight information corresponding to the food contained in each dish and a classification result of the food name; or alternatively
Determining food materials contained in each dish according to the food material names; determining weight information of the food materials in each dish when at least two dishes exist with the same food materials; based on a preset estimation mode, determining weight information corresponding to each type of food according to the weight information of the food in each dish;
the carbon emission data corresponding to the dishes is determined based on the food carbon emission database according to the dish names and the food material names, and the method comprises the following steps: and determining carbon emission data of each type of food material according to the dish name, the food material name and the weight information corresponding to each type of food material based on the food carbon emission database.
6. The carbon emission early warning method based on catering consumption data processing according to claim 5, wherein if the target carbon emission data meets a preset early warning condition, sending early warning information to a target terminal comprises:
and if the carbon emission value determined according to the target carbon emission data is greater than or equal to a carbon emission threshold value, sending early warning information to a target terminal.
7. A computer device, characterized in that it comprises a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the catering consumption data processing based carbon emission monitoring method according to any of claims 1 to 4 and/or the steps of the catering consumption data processing based carbon emission early warning method according to claim 5 or 6.
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