WO2023030154A1 - Taste and nutrient data processing system based on flow data collection - Google Patents

Abstract

Provided in the present invention is a taste and nutrient data processing system based on flow data collection. The system includes a collection module and a data management module, wherein the collection module includes a raw material collection module and/or an operation collection module; and includes a transformation calculation module and an error correction and determination module. Taste and nutrient elements are collected, and factors influencing the taste and nutrient elements during raw material collection and operation processes are fully taken into consideration for design of the system, such that obtained taste values and nutrient values are closer to real data. Each step is planned properly and is close to reality. Moreover, a flow standardized record is performed on the basis of the logic of a computer system, such that corresponding taste values and nutrient values are calculated according to the steps. Therefore, in the present solution, a template can also be selected according to requirements of a user. On the basis of perfect taste values and nutrient values, existing taste values and nutrient values are adjusted, that is, when a set at the right side of a calculation formula changes, it is necessary to reversely deduce specific values corresponding to different raw material operations at the left side of the equation, so as to determine a preparation flow and a raw material list, which are required for achieving an expected finished product.

Description

Taste and nutrition data processing system based on process data collection technical field

The invention belongs to the technical field of computer software applications, and more specifically relates to a processing system for taste and nutritional data based on process data collection.

Background technique

The Chinese authorized patent CN111625562B process-based data processing system realizes the informatization and data collection and management of real affairs such as raw materials, appliances and/or operations, so that non-professional data collection and recording personnel in different fields and different cultures can Through automated guidance, professional data collection and recording can be realized, and a solid foundation for subsequent data processing and application can be laid.

The above-mentioned streamlined data processing system builds a flexible data platform that can be continuously supplemented and improved with a high degree of automation, and records different basic data related to different fields. On the premise of diversification, according to the operation guidance requirements in different fields, the automation guidance for different entry stages is standardized. Divide all the actual operating processes into basic structures, and divide them into two categories: raw materials and operations, and carry out standardized control of the unified process for different time steps of the actual operating process. Through the guidance of different categories of content, the professional input selection in different fields is improved, and the operation of simultaneous processing in the same time period is the only designated standard, and the actual content is divided according to different operating procedures and time nodes, and the input is perfected one by one. information for each step. Combining different steps (processes in the same time period) according to chronological order, restores the complete process of actual operation in an informational form that can be entered. In this way, non-data collection and recording professionals in different fields and cultures can achieve professional data collection and recording through automated guidance, and lay a solid foundation for subsequent data processing and use.

The above-mentioned streamlined data processing system can also be applied to the catering industry, and the taste and nutritional elements of dishes in the catering industry are very important data. However, most of the current systems simply accumulate the taste and nutritional value based on raw materials and their quantities, which is far from the real data, and cannot use the taste data and nutritional data to provide data support for raw materials and operations.

Contents of the invention

The purpose of the present invention is to incorporate the data information related to taste and nutrition into the collection program based on the existing process-based data processing system, and to cooperate with processes such as judgment and verification to obtain it repeatedly.

The present invention provides a taste and nutrition data processing system based on process-based data collection, including: a user end, used to send a raw material query request, an operation query request or a selection request, and the user end includes a first processing unit, a first communication unit, a first storage unit, a first display unit, an input unit, the first storage unit stores an operating system, a query front-end program and a query result information: and

A server end, the server end includes a second communication unit, a second storage unit, and a second processing unit; the second storage unit stores a raw material collection module, an operation collection module, and a query back-end program , and a data management module; the raw material collection module includes a raw material query module and a raw material information completion module, and the raw material operation collection module includes an operation query module and an operation information completion module; the second processing unit It includes a conversion calculation module and an error correction judgment module; wherein the raw material query module: according to the raw material query requirements, queries the data management module for the raw material information and generates a raw material interaction page, and according to the operation query requirements to the The data management module queries the corresponding operation information and generates an operation interaction page;

The user terminal selects any one of the raw material information from the raw material interaction page as a selected raw material according to the selection requirement, and the query of the corresponding raw material from the data management module according to the selected raw material information, and generate a first result page according to the queried raw material information, select any one of the operation information from the operation interaction page as a selected operation according to the selection requirements, and the operation query module according to the The selected operation queries the data management module for the corresponding operation information, and generates a second result page according to the inquired operation information;

The processing unit generates the query result information according to the first result page and the second result page, and the processing unit stores the query result information in the storage unit;

The data management module further maintains the taste value and/or nutritional value of the raw material and the dimension information of the raw material that affects the taste value and/or nutritional value, and further maintains the specific operation that affects the taste value and/or nutritional value of the raw material, and the specific Operate the associated raw material dimension information; the taste value and/or nutritional value of the raw material includes the laboratory test value maintained by the data maintenance module;

The conversion calculation module defines the conversion process of raw materials and operations in different situations, the conversion calculation module obtains the interactive data delivered by the raw material acquisition module and the operation acquisition module, and interacts with the required dimension data in the data management module, Determine the transformation mode of each step, so as to determine the corresponding relationship between raw materials and products in each step, and obtain the taste value and/or nutritional value of the product in this step during each transformation process, as the taste value and/or nutritional value of the next step The nutritional value is gradually accumulated to obtain the taste value and/or nutritional value of the final product;

The error correction judgment module judges whether the calculation result value of the taste value and/or nutritional value in each step is valid, and if there is a valid laboratory detection value of the product of this step in the system, then use the detection value of the laboratory , if missing or incomplete values appear in the system, the data maintenance module requires the maintenance manager to provide corresponding basic data maintenance items.

Furthermore: the data management module classifies and/or groups the raw materials and/or operations, the raw materials and/or operations with similar attributes are planned into the same set, and the typical raw materials and/or operations in the same set are preferentially maintained, For other raw materials and/or operations in the same set, the basic data of the typical raw materials mentioned above can be used as the analogous calculation value through analogy calculation;

The error correction judgment module judges whether the calculation result value of the taste value and/or nutritional value in each step is valid, and if there is a valid laboratory detection value of the product of this step in the system, then use the detection value of the laboratory , if there is a missing or incomplete value in the system, it will compare the raw materials of similar categories according to the classification data of the raw materials, and calculate the corresponding analog calculation value based on the corresponding numerical analog of the same operation sequence; when some specific data of a certain raw material In the operation process, if the laboratory detection value cannot be directly matched, or the analog calculation value cannot be used, the data maintenance module is started to improve the missing value.

Wherein: the conversion calculation module at least includes a denaturation mode and a conversion mode, the denaturation mode refers to: within a certain period of time, the resulting product is relatively stable in a conventional operation mode; the conversion mode refers to: within a certain period of time, Under normal operation mode, relatively stable product cannot be obtained;

The judgment of conversion mode and conversion mode is realized by limiting the upper and lower limits of raw materials and/or operations, and the conversion calculation module realizes the limitation of different modes by judging the relationship between raw materials and operations.

Wherein: the error correction judgment module includes a first judgment module, the first judgment module considers whether the mass percentage of the raw material corresponding to the missing value to the output result exceeds the defined error value, if the defined error value is exceeded, the system will In the result item, it is prompted that there is a corresponding error in the output data of the calculation result. The reason for the error value is the lack of data of the corresponding raw material; for this missing item, the corresponding missing item is improved through the data maintenance module, and the process is performed again The calculation ends up with a valid result value.

Wherein: the error correction judgment module includes a second judgment module, the second judgment module further considers the result content including the analysis result value, and prompts the user, and the user obtains specific information including error range and proportion As a reminder, determine whether it is necessary to ensure the specific percentage of the full effective value to the corresponding output ratio according to the use requirements, and then use it as needed or contact the maintenance and management personnel to accurately supplement the corresponding data; among them, the analysis result value is in the full effective value Basis, including cases where analogous calculations were used, but not missing values.

Among them: the raw material dimension information that affects the taste value and/or nutritional value further includes: edible part, discarded part, precipitation coefficient, volatilization coefficient, penetration coefficient, physical properties, chemical properties, temperature, air pressure, time, volume and/or weight information.

Wherein: the data management module includes a group data maintenance module, including maintenance and addition of categories and grouping items, and maintenance of specific coefficient factors for categories and groups according to experimental analysis data.

Wherein: the raw materials are more than one kind, and the nutritional value and/or taste value of the raw materials in each stage after the operation of this stage is accumulated, as the initial value of the next stage, and a new operation is carried out in the new stage. The nutritional value and/or taste value are superimposed to finally obtain the nutritional value and/or taste value of the finished product.

Wherein: the conversion calculation module includes a precipitation mode, and the precipitation mode refers to a combination product obtained by superimposing raw materials and operations resulting in the precipitation effect of raw materials.

Among them: based on the perfect taste value and/or nutritional value, adjust the existing taste value and nutritional value, and deduce the specific values corresponding to different raw material operations.

According to the solution of the present invention, its beneficial effect is: by collecting taste and nutritional elements, and fully taking into account the factors affecting taste and nutritional elements in the collection of raw materials and operation process in the system design, so that the obtained taste value and nutritional value, closer to real data. Each step is properly planned and close to reality. At the same time, the process is standardized and recorded based on the logic of the computer system, so that the corresponding taste value and nutritional value can be calculated according to the steps. Therefore, this solution can also choose a template according to the needs of users, and adjust the existing taste and nutrition values on the basis of perfect taste and nutrition values, which is equivalent to the set on the right side of the calculation formula. If there is a change, it is necessary to deduce the specific values corresponding to the different raw material operations on the left side of the equation, so as to determine the preparation process and raw material list required to achieve the expected finished product.

Description of drawings

The drawings described here are used to provide a further understanding of the application and constitute a part of the application. The schematic embodiments and descriptions of the application are used to explain the application and do not constitute an improper limitation to the application.

Fig. 1 is a logic diagram of the streamlined data processing system in the present invention.

Fig. 2 is a schematic diagram of the step information of obtaining the nutritional value and taste value by using the streamlined data processing system in the present invention.

Detailed ways

The invention includes a user end, a server end and a database, and the corresponding functions are completed through the interaction between the user end interface and the database. Among them, the user end includes an information entry interface and a maintenance interface. The information entry interface is mainly for information entry and guidance interaction with personnel from different cultures and fields, and the maintenance interface is mainly used for the maintenance and expansion of the basic data of the platform.

The user end is used to send a raw material query request, an operation query request or a selection request, and the user end includes a first processing unit, a first communication unit, a first storage unit, a first display unit, An input unit, the first storage unit stores an operating system, a query front-end program and a query result information.

The server end, the server end includes a second communication unit, a second storage unit, and a second processing unit; the second storage unit stores a raw material collection module, an operation collection module, and a query backend program, and a data management module; the raw material collection module includes a raw material query module and a raw material information completion module, and the raw material operation collection module includes an operation query module and an operation information completion module; the second processing The unit includes a conversion calculation module and an error correction judgment module.

The raw material query module: query the data management module for the raw material information according to the raw material query requirements and generate a raw material interaction page, query the data management module for the corresponding operation information according to the operation query requirements and Generate an operation interaction page; the user terminal selects any one of the raw material information from the raw material interaction page as a selected raw material according to the selection requirement, and reports to the data management module according to the selected raw material Querying the corresponding raw material information, and generating a first result page according to the queried raw material information, selecting any one of the operation information from the operation interaction page as a selected operation according to the selection requirement, and The operation query module queries the data management module for the corresponding operation information according to the selected operation, and generates a second result page according to the queried operation information; the processing unit according to the first result The page and the second result page generate the query result information, and the processing unit stores the query result information in the storage unit.

The data processing system of the present invention includes two core parts, the first part: a streamlined data processing system, and the second part: a visual management and control information system based on the streamlined data processing system.

First of all, for the part of the process-based data processing system, please refer to Figure 1. Generally speaking, the purpose of platform entry is to quickly, accurately, and professionally enter the actual operation process into information. The most basic of these is to standardize the general division of realistic scenarios without affecting the specific specification requirements corresponding to different fields. As far as the current real scene is concerned, this patent takes the time axis as a frame of reference, and divides it into a standard step based on the specific items that are simultaneously operated within the same time period. When each standard step in a complete process is sequentially assembled, we can restore a complete operating process in reality, and the restored operating process conforms to the reproducibility and integrity of the scientific process. Therefore, in order to better illustrate the implementation of this patent, the detailed input of the specific steps of the client is firstly explained.

The platform system needs to determine the language selected by the current user (including the region where the language is used, so as to regulate the differences in different languages and cultural habits when displaying, such as English-American; English-British; English-Australian, etc.). The user language is when the user performs data entry on the client to create an account, the language of the user's operating system is registered as the user's language by default. Of course, users can define the language they use on the platform to change the initially established platform language.

According to the language used by different users, the platform will display different interface languages, and match the information of the corresponding language and region options as the first priority content to guide users to complete the data collection and input of the actual process information. As mentioned above, the data collection and entry of realistic process informatization is fundamentally based on the collection of step information that simultaneously operates on raw material content within the same period of time. The composition of step information can include two major categories, namely raw materials and operations. The raw materials refer to the material information included in the operation during the participating time period, including but not limited to raw materials, utensils, products of the previous step, etc. Operation refers to descriptive and regulated behavior guidance with guiding purpose, including but not limited to, the operation action guided by personal will, the judgment behavior controlled by machine, and the action behavior guided by biological instinct wait. The combination of raw materials and operations forms the necessary conditions for a recordable operating process within the same time period. Therefore, the step information entry of this patent is composed of a raw material collection module and an operation information collection module.

Among them, the information entered by the user is an informatization entry based on the interaction with the existing information in the system, and the division of information is divided into entry process information and system data information, which are described in detail below.

First of all, referring to Fig. 1, the present invention firstly discloses a streamlined data processing system, which includes a collection module and a data management module; Raw material collection module and/or operation collection module; the data management module stores raw material information and/or operation information and/or product information, wherein the raw material information includes the self-attribute information of the raw material and/or the environmental attribute to which it belongs information; the operation information includes operation actions and/or behavior guidelines and/or judgment behavior; the product information is raw material information and/or operation information collected in the same time period and/or raw materials collected in multiple time periods A collection of information and/or operating information; wherein, the raw material information and operating information include basic descriptions and/or dimension information and/or associated information; the raw material collection module includes a raw material query module, and the raw material query module Interactively query the existing raw material information with the data management module, and display it on the user end for the user to select; the operation collection module includes an operation query module, and the operation query module interacts with the data management module to query the existing operation information, and displays it on the user end display for the user to select; the raw material collection module further includes an information completion module, which receives the raw material information selected by the client and interacts with the data management module to generate an interactive page to complete the details of the raw material information; the operation collection module further includes information supplementation The whole module, which receives the operation information selected by the client and interacts with the data management module, generates an interactive page, and completes the details of the operation information; the raw material information and operation information completed in the same step form the product information of this step and save it to the data management module ; The raw material information and operation information completed by multiple steps form a collection of information, which is also saved to the data management module as product information. The data management module includes a data maintenance module, and the data maintenance module maintains the name definition and/or dimension definition and/or professional definition of raw material information and operation information, including but not limited to: new addition, revision, corresponding unit, input value Scope, selection items, display of corresponding standard modes, multilingual matching, and related basic description and dimension information. The data maintenance module maintains raw material information and operation information by group. The data maintenance module further includes a product formation module and/or a product combination module and/or a product splitting module and/or a product adjustment module. The product combination module and/or the product splitting module and/or the product adjustment module are all associated with the original product information. The information completion module generates an interactive interface containing dimension information according to the basic description and/or dimension information of the raw material information and/or operation information selected by the user terminal, and the user terminal enters specific data according to the corresponding dimension information to complete the collection work . The information completion module further includes professional matching options, which are interacted with the user terminal as selection items; the professional matching options are generated and maintained by the data maintenance module. The raw material query module includes precise retrieval and/or fuzzy retrieval. After the precise retrieval and/or fuzzy retrieval fails to retrieve relevant content, a newly added interactive module is triggered, and the newly added interactive module sends user requirements to the data maintenance module, and the data maintenance module maintains the newly added requirements to raw material information and/or or operation information. The raw material query module also includes a mismatch information processing module, which lists the search result set, but gives a prompt that the record does not match the retrieved area after corresponding results.

In the following, the corresponding functions and implementation cases of the relevant modules will be introduced in detail one by one.

1. Raw material collection module

The raw material collection module includes a raw material query module and an information completion module.

1. Raw material query module

The raw material query module includes precise retrieval module, fuzzy retrieval module, new raw material interaction module and mismatch information processing module.

The fuzzy retrieval module triggers the background query interface according to the keywords entered by the user. On the basis of not distinguishing between languages, the content containing the corresponding keywords is preferentially matched and arranged in a certain order, such as: general name, display name, detailed name, academic name , dialect name, abbreviation, etc. Further through fuzzy retrieval, relevant but not identical content is supplemented after the key content that is preferentially matched. For the displayed content, the language that is consistent with the operation interface of the information entry personnel is displayed as the first priority language. When the relevant language information cannot be matched, the priority content is matched according to the query conditions.

The precise retrieval module points to the unique raw material, utensil, or product ID in the background database according to the precise ID input by the user to perform corresponding precise positioning, and at the same time displays the corresponding display content in the system language defined by the user on the interactive interface.

When the user's search results show no valid matching data, or the displayed data cannot meet the user's needs, set the corresponding interactive option for submitting an application in the operation interface, which includes a new interactive module. The information content is submitted to the data management module personnel or the corresponding supplementary application is submitted to the data management module personnel. After the corresponding information dimension information is improved through the data maintenance module and the association relationship is established, the user can use the new content applied for. Similar to this form, when users find any correlation anomalies during the use of the platform system, they can be fed back to the background maintenance personnel, and the background maintenance personnel can supplement platform data information from name to dimension correlation through corresponding modular operations. Completion and maintenance. The newly added interactive module can be an interactive box on the client side. After the user enters the demand, it will directly respond to the background, and the background will enter the basic information of raw material information and/or operation information and/or maintenance information and associations through the data maintenance module. information.

In addition to the content that can be retrieved normally and that is temporarily unrecorded in the database, there are some content that have been proposed by the user but do not match the recorded information in the current search area. The prompt processing is performed by calling the corresponding mismatching information database, which will not Proceed to the next step to call the data processing module. For example, search with "heating" as the keyword in the raw material search area. When a similar situation occurs, the system will list the corresponding search result set according to the operating language selected by the user, but the corresponding related results will give a prompt at the back: "This record cannot be selected", and please try to match the search professional category content.

It should be noted that, based on the idea of the present invention, the database also includes step information formed by the combination of raw materials and operations, or the aggregate information of multiple steps. The step information of a certain step and the aggregate information of multiple steps are regarded as for the product. The product is also regarded as a raw material and can be searched and selected for multiple times. In addition to the conventional input search and search, the products produced by the search conditions will be prioritized as optional alternatives during the entry process of the same general process. raw material items. At the same time, the products of other entry processes can also be entered and used as raw materials by different entry processes as raw material conditions. The search conditions can not only be searched by user keywords (the above fuzzy search module), but also can be accurately searched by a dedicated ID. Matching and other forms of quick matching (the above-mentioned exact retrieval module). Both the product and the raw materials or steps in the product can be split, and multiple searches can be performed and selected. For specific information about product selection, editing, and recording, please check in the "Product Selection Module".

2. Information completion module

The information completion module includes an interactive page generation module and a completion information input module.

When the user selects any of the listed search results by using the raw material query module, the system will correspond to the unique ID in the database according to the search result item. For example, no matter the retrieved items such as "alcohol", "ethanol", "Ethanol", "", etc. are selected, the corresponding ID in the database is uniquely unchanged. And when the unique ID is retrieved from the database, according to the ID information, in the system interaction with different professional collection requirements and specifications, different information will be displayed to complete and enter the interactive content. Among them, common physical properties of raw materials are included, including but not limited to mass, temperature, pressure, state, volume, etc. At the same time, for the collection and entry requirements of some majors, the corresponding information entry content including default options will be supplemented. For example, in the field of food processing, there will be judgments on whether the raw materials are edible and whether the inedible parts have been removed, while in the medical field, there will be judgments on whether they are in a sterile state. "In different fields, the judgment entry options corresponding to the entry information are automatically generated through system data maintenance, which will be explained in detail later.

Through the corresponding maintenance information of raw materials in the database, the automatically generated collection and entry interactive interface includes unit selection, value entry, and professional specification judgment. Non-professional data collection personnel can quickly complete the corresponding interaction, and the information of raw materials in the corresponding professional field the required entry.

For example, in the field of food processing, "eggs" is selected as the result item. Through the interactive relationship of the database, the interaction of the client can display "value/unit", "raw material temperature", "environment temperature", "altitude", "barometric pressure" ", "Whether to eat", "Whether inedible parts need to be removed" and other input items. Among them, "value/unit" selects the measurement unit used by the user, including but not limited to (ml, L, g, kg, large eggs (average 57g), gal, oz, bl), and then matches the value entered by the user , can accurately define the amount of "egg" used as a raw material, and the temperature, ambient temperature, altitude, and air pressure can respectively clarify the state of the "egg" itself and the environment. Corresponding professional matching options, such as the selection interaction "whether to eat" and "whether inedible parts need to be removed" as the default options, can achieve the rapid entry of standardized operation content that meets the professional field, and can also provide non-standard operation content Leave enough room for personal entries.

At the same time, platform maintenance personnel can quickly supplement the formatted input interface according to the requirements of different professions. The formatted interactive content includes interactive methods such as drop-down selection, drop-down selection with default value, numerical input window, single selection, and multiple selection. By maintaining the entry requirements and associations of different data, combining different formatted interactive content, and supplementing the corresponding interactive text guidance and associated data, it is possible to make corresponding rapid adjustments for different input content. These drop-down boxes or data input boxes or single-choice and multiple-choice content are all formatted and maintained information, which do not require complicated debugging, and quickly match all the information corresponding to the group through the group management of the corresponding input content. The user fills in the corresponding values and checks the corresponding options under the standardized template. In order to ensure the realizability and authenticity of different data.

For example: Compared with the example "egg" just now, the corresponding "value/unit - composed of a drop-down box containing default items and a value input box" and "raw material temperature - 2 drop-down boxes containing default items, one The data input box consists of ""environmental temperature - consists of a drop-down box containing default items and a value input box", "altitude - consists of a drop-down box containing default items, a value input box", "air pressure - consists of a drop-down box containing default items, a value input box", The drop-down box consists of a value input box", "Whether to eat - single choice with default value", "whether you need to remove inedible parts - single choice with default value"; and utensils in the field of food processing are used as a kind of raw materials When inputting, only the information that has been associated in the database will be displayed. The input box consists of two parts. In this way, there is no need for users to fill in invalid spam information to achieve rapid entry, and at the same time, it will not be impossible to restore the corresponding process in reality due to inconsistent entry benchmark conditions.

An operation collection module, the operation collection module includes an operation query module and an information completion module.

1. Operate the query module.

The query matching logic of the operation query module is consistent with the query matching logic of raw material collection, and it is mainly composed of an operation query module and an operation input module. The raw material query module can trigger the background query interface according to the keyword input by the user. On the basis of not distinguishing between languages, it will first match the content containing the corresponding keyword, arrange it in a certain order, and further use fuzzy retrieval to search for related but different content. Content Supplement After the priority matching key content, return the query result corresponding to the keyword, which includes: common name, display name, detailed name, academic name, dialect name, abbreviation, etc. (such names are maintained in the data module and marked). For the displayed content, the language that is consistent with the operation interface of the information entry personnel will be displayed first, and displayed as the first priority language. When the relevant language information cannot be matched, the priority content will be matched according to the query conditions.

When there is no valid matching data displayed in the user's search results, or the displayed data cannot meet the user's needs, the corresponding interactive option for submitting an application can be selected on the operation interface, and the unsatisfactory information content can be submitted to the data management module personnel for corresponding review in the system. After completing and establishing an association relationship, users can use the brand new content they applied for. Similar to this form, when the user is using the platform system, any correlation anomalies found can be fed back to the background maintenance personnel, and the background maintenance personnel can supplement the completion of related information from names to dimensions through corresponding modular operations And maintenance. The specific implementation method and process will be described in detail in the chapter of data management module.

In addition to the content that can be normally retrieved and temporarily unrecorded in the database, there are also some content that have been proposed by users but do not conform to the recorded information in the current retrieval area. For example, search with "water" as a keyword in the search area of the operation. When a similar situation occurs, the system will list the corresponding search result set according to the operating language selected by the user, but the corresponding relevant results will be prompted later, making it clear that this record cannot be selected, and please try to match the content of the search professional category .

2. Information completion module

When the user selects any of the listed search results through search, the system will correspond to the unique ID in the database according to the search result item. This unique ID calls the corresponding dimension-related information in the database where the operation is performed, and displays it interactively with the front end. The specific interaction information conforms to its corresponding major and the normative restrictions on its operation, including but not limited to: time, magnitude unit, value, operating range, and other dimensional definition information related to corresponding operations.

For example, for heating in chemical experiments, it is necessary to clarify what method is used as the heat source and the corresponding thermal effect value; the method of simultaneous heating is spaced or direct heating; the specific information value in different dimensions such as the duration of heating.

Of course, the input personnel do not input in any language, but on the basis of giving a specific dimension description, according to the specific information given by the input interactive guidance, supplement the specific value, select the unit, or specify the specific options for different conditions. tick. And its corresponding display interaction content will optimize the convenient interaction method of input personnel on the basis of some default values.

The specific interaction method is illustrated with an example: in the field of food processing, after slicing is selected by the input personnel as an operation, the two dimensions information of "volume" and "time" will pop up, and the volume includes options such as "thin slice: 5cm* 2.5cm*0.2cm", "thick sheet 5cm*2.5cm*0.4cm", "custom size", when the input personnel selects a custom size, the corresponding value and unit of length, width and height will be displayed on the interactive interface The input box, because according to the interactive default display requirements in the Chinese environment of the food processing field, the corresponding default unit cm will be given; however, users can customize the relevant interactive units according to their needs. The specific entry of time is also a similar interaction. By default, the options of "custom" and "quick estimation" are given. Customization is the entry of time information for specific operations when the user can choose different units. ; while the quick estimation is based on the category and total mass of raw materials entered by the user in the steps, and the coefficients corresponding to different categories and total mass of the operation "slice" in the database are retrieved, and a general standard value is obtained in the form of a product. The specific value of the coefficient is obtained by averaging multiple samples under the standard of the display laboratory.

The maintenance of relevant and default values and automatically calculated data is obtained by supplementary maintenance on the existing basis under the condition that the data management module personnel put forward corresponding demands from the collection and entry personnel in related fields. The maintenance personnel can maintain different default values according to the collection and entry needs of different professions, and put forward corresponding data requirements for the laboratory according to the requirements. On the basis of improving the data information, supplement the operation information content of different professions for different collection and entry different standards.

For the specific interactive content displayed in the dimension of the operation collection interface, it is necessary to enter the personnel to complete the record and display the specific implementation plan in the operation steps. Through modular completion and improvement of the corresponding information, the specific content takes the display operation link as a sample, and records and enters the professional collection information that needs to be clarified. And according to the modularized and informatized interactive mode, on the basis of a unified professional collection interactive interface, it can provide input personnel with different formats and culturally differentiated interactions in different languages. At the same time, it provides input of cross-cultural fields and backgrounds. For input personnel who cannot clearly find or define relevant content in the corresponding cultural background (especially for cutting-edge scientific research fields, detailed definitions of multilingual and multicultural cannot be done in a short period of time. Input Personnel can perform cross-cultural background query and selection according to their relevant domain knowledge) or entry personnel with diverse backgrounds need to use entry options with different cultural backgrounds.

3. Product selection module

In addition to the normal input of new raw materials in the steps, the output products of other steps are also an important source of raw materials for a complete process. According to the above introduction, the product is the step information obtained in the previous step, that is, it includes the raw materials and operations in the same time period, and also includes the aggregate information of multiple steps.

In order to better record and maintain standardized entry, the formation of the product is formed by splicing the specific raw materials and operations of the previous steps, and entered into the system as the result, or the reference raw materials of the subsequent steps for use. Because the products existing in the system are all formed by the content step process that has already been entered, the corresponding data information is consistent with the previous steps, and there will be no missing or missing information.

For example, in the field of food processing, the raw material of the pre-order step is eggs, and the operation is boiling. The pre-procedure step has completely entered the specific information of eggs as raw materials (refer to the first two subsections of this chapter), and then entered the corresponding operation "boil" (for the specific entry method, refer to the "Operation Collection" section), their output products It is displayed in the form of "step ID (generated and recorded by the system according to the corresponding numbering sequence of the steps) + eggs + boiled", and according to the step ID, you can quickly view the steps that generate this product.

The products generated by the combination of multiple steps or the products generated by nesting are all generated by the same logic. In the display, the generated content is listed in the form of raw materials and products, and arranged in the order of selection. At the same time, the previous step that has been entered in the system can be quickly defined according to the step ID, so that the entry user can specify the specific details of the content selected by him. At the same time, all information should be matched by calling the ID of the existing content in the database. Therefore, the content entered by the user can be displayed to different viewers and users in different languages and formats, so that it does not need to be culturally , Professional differences lead to ambiguity in the content of records.

In addition to the complete use of the products in the previous steps, there are many cases where the input personnel need to select part of the products, or different quantities of products for subsequent operations. This requires corresponding adjustment of the number of products. Split or accumulate. In the system, the user retrieves the historical step products that need to be used in the database, and completely displays the historical step products in the interactive interface. When you choose to edit it, the system will generate a new supplementary ID based on the original step ID, indicating that the newly generated product is a new content formed by performing related operations on the original ID. In the editing interface, users can edit the corresponding product by selecting to change the different usage ratio of each raw material, but they cannot edit the operation. In this way, different magnitudes of selected products are achieved, but the historical formation of the existing content is not changed.

The input user's editing of the product is more like the selective use of the already formed product, but when encountering some chemical changes or operations that cause denaturation of existing raw materials, the input process cannot be performed. Some simple examples are water electrolysis to produce hydrogen and oxygen, or milk and yeast fermented to form yogurt and water. Because the properties of the raw materials have changed in the products of these steps, the input users are allowed to effectively split and accumulate them directly in the subsequent links. Just like the oxygen generated by electrolyzed water, the oxygen generated by the same quality of water per unit time is different through different technical means, and the specific magnitude cannot be accurately matched simply through existing technologies, so In this technical solution, if encountering a similar situation where denatured products need to be split and accumulated for use, the input personnel can get in touch with the data management module personnel through the assistance button on the interactive interface. After submitting the corresponding formal materials and being reviewed by the maintenance personnel, the maintenance personnel will replace the corresponding IDs of the products generated in the original steps, so that the products are the corresponding original raw material IDs, such as milk and yeast fermented products, which are no longer Instead, "step ID+milk+yeast+fermentation" was replaced with "step ID+yogurt+water". This can solve the situation that related products cannot be further selected and entered due to special denaturation changes.

4. Data Management Module

The data management module is a module for managing data on the database side, which includes storage of various types of data, and interacts with the functional modules of the above-mentioned client side to complete corresponding functions. The data management module includes a data maintenance module. The data maintenance module ensures the accuracy of the basic content, maintenance content and association relationship of various types of data, and continuously adds, revises, and deletes according to customer needs.

In order to ensure the professionalism, comprehensiveness, convenience and standardization of input information for input personnel with different cultures, backgrounds, and specialties; a requirement that is highly professional and can be flexibly expanded is sufficient for an information input system. necessary. Therefore, in this patent, when building the system, the data and the framework are completely separated, relying on different data requirements, and correlating and corresponding frameworks are established, which can realize strong automation, and can continuously expand and improve the data interactive input system.

Data is generally divided into two categories: data stored in databases and input data entered or edited by users. The stored data is the data base required for the interactive display of the system. In addition to the data that the system allows for initial import, the person in charge of the data management module inputs the corresponding test data after checking and reviewing according to the needs of different professions. Data are mainly provided by laboratories, laboratories or research institutions. After the actual operation process is divided into standard steps, according to the actual process needs of different professional fields, an interactive interface is generated on the basis of stored data, and data or specific values created or input by users are obtained to form edited input data and stored in in the database. The interactive method can standardize and process data by using system data to generate interactive pages and obtain user input data. Get data in a standardized and simplified way.

The existing form of raw data mainly includes the name definition, dimension definition, and professional definition of things. The name definition includes the main display name, common name, academic name, common name, colloquial name, and other definitions of the same thing in different languages in different languages. This part is mainly related to the retrieval of raw materials and operations, and the different names of the same thing in different languages are part of the relatively frequent maintenance of the data management module. Through continuous maintenance and supplementation of different definition names of the same thing, users can query the things they need to use according to their known definitions.

For things, the definition of dimension is its specific composition definition for existence and reality, just like for objects in general, the data maintenance module can manage its corresponding groups to automatically associate its mass, volume, state (solid, liquid, gas, etc.) , temperature and other specific physical dimensions to describe its observed specific form, of course, we can provide specific definition services for individual things. As for the operation process, the specific operation method, the corresponding operation time and other factors constitute the specific conditions for an operation process that can be recognized and executed. Compared with things, dimensions such as mass, volume, temperature, and time exist independently and are used as a reference system to measure things. The data management module takes these dimensions that need to be associated with things as a definition of things and Things are related. In this way, in the system input interaction, the user can make a standardized and clear input option and obtain a standardized input data.

For example, when an object we associate it with the dimensional information in the database corresponding to its mass, volume, and temperature. When the user chooses to enter the data information of the corresponding object, the interactive interface will prompt the unit options corresponding to the dimensions of mass, volume, and temperature, and the entered numerical options. Among them, the system can be retrieved from the database according to the user's settings, corresponding to different units of mass, volume, and temperature, and at the same time provide the default unit that meets the user's input habits, while the user needs to enter the dimension in the current step according to the actual process Corresponding value. A standard raw material information is kept for the data entered in the system.

These dimensional information that participate in the definition of specific things can also be maintained by the system, and the maintenance content includes but is not limited to information such as new additions, revisions, corresponding units, input value ranges, selected items, and corresponding standard modes. And these different information also have different definitions between different languages and different names, and need to be maintained in the database. As mentioned above, the display form corresponding to the interactive interface is mainly composed of fixed numerical input boxes, drop-down options, multiple selection options, and single-selection options, and the corresponding display forms will be combined with dimension information or professional information. bound. It is possible to obtain standardized and unique data criteria for different matters, and at the same time, it is possible to achieve different entries but consistent standards between the meanings of different formats.

Professional definitions and dimension definitions are consistent in a sense, but they pay more attention to the standardized definitions required by different professions. For example, in the field of food processing, it is necessary to consider whether the inedible part contained in the object needs to be automatically removed, or whether the inedible part has been removed when the user enters. However, the dimension option of excluding inedible parts obviously does not need to be explained in the field of chemical experiments, because in the field of chemistry, it is obviously not necessary to consider whether the raw materials used can be eaten. Different professional domain definitions will allow users to enter different domain interface terminals, thereby activating different definition dimensions and corresponding interactions for the same thing in different professional domains.

In addition to the maintenance of the original data, the maintenance of the input data is also an important function of the data management module. As mentioned above, the assistance function is mainly implemented by the data management module. The purpose of the assistance function has been specifically described above, and it is mainly used for issues such as the change processing of different forms of products generated by the recording of some characteristic information. The interaction mode of the data entry assistance function in the data management module interface is basically the same as that of ordinary users, except that specific things can be added, deleted, and modified. Because its function will cause problems such as data record inconsistency and data falsification in standardized entry, it will not be open to ordinary users. When an ordinary user puts forward a specific operation request and submits the necessary proof materials and corresponding data results, the personnel of the data management module can compile and modify the content uploaded by the user, and carry out relevant identification, so as to ensure the information entered by the system standardization and harmonization.

In addition, if the user needs to complete the content during operation, he can click the maintenance link in the interactive interface to contact the maintenance customer service, provide specific information and requirements that need to be added or modified, and the system maintenance personnel will review and Changes can be made after maintenance. The data maintenance personnel will feed back the requirements put forward by the input personnel to the corresponding professional personnel for judgment and classification, and carry out corresponding maintenance and management after review by multiple people to ensure that there will be no unclear or repeated data in the database.

Please refer to Figure 2, which is an application system that uses the above-mentioned streamlined data processing system to collect taste values and nutritional values. The design principle is to first incorporate the data that determines the taste value and/or nutritional value into the data management module. Data collection and updating are carried out through the raw material collection module and the operation collection module. That is: maintain the taste value and/or nutritional value data of the raw material itself into the original data, and in most cases, some raw materials will form a new product after some operation, and the taste value and nutritional value of the new product /or nutritional value will also change, and this system maintains the taste value and/or nutritional value of the new product into the original data or input data for reference by other modules of the system. The data management module further maintains the taste value and/or nutritional value of the raw material and the dimension information of the raw material that affects the taste value and/or nutritional value, and further maintains the specific operation that affects the taste value and/or nutritional value of the raw material, and the specific Operate the associated raw material dimension information.

Due to the combination of raw materials and operations, many situations will occur, and different situations will lead to changes in taste and nutritional values. On the basis of collection, different transformation modes are limited, which can truly reflect raw materials and operations in various situations. In the following conversion process, the taste value and/or nutritional value of this step is collected in each conversion process, as the initial value of the taste value and/or nutritional value of the next step, and then a new round of conversion is performed, and so on, Finally, the finished product is formed, and the taste value and/or nutritional value obtained in the final step are closer to the real value.

It can be achieved through the above dimension definition, such as the operation of “roasting” for the raw material “egg”, and its temperature is limited. Under different temperature conditions, the corresponding modes in the transformation calculation module are different, such as <100° is the conversion mode, >150° ° is the denaturation mode. It is realized by maintaining the upper and lower limits of data that are highly correlated with denaturation modes and conversion modes, such as temperature, air pressure, and time.

At the same time, for the differences and changes caused by different operation modes, as well as the sequence, the content with complete change data will be obtained first and used according to the basic changes and sequence corresponding to the raw materials. These data will be obtained through laboratory testing and analysis (laboratory detection value). Of course, the detection-based data cannot guarantee to cover all application scenarios in use. Based on the classification data of raw materials, the corresponding approximate results will be calculated by comparing the raw materials of similar categories, relying on the corresponding numerical analogs of the same operation sequence (analog calculation value ). Example: Assume that the system contains the calorie data of eggs boiled in white water and fried again. When we need to use the data of the same process, we can directly call the corresponding data and use it in the subsequent links to meet the needs. But when we need to use the missing calorie data of duck eggs cooked in white water for re-frying, we will give priority to using the calorie data of duck eggs cooked in white water, and then use the calorie data of duck eggs The calorie data of fried eggs are calculated in the same proportion to correlate and calculate the calorie data of duck eggs boiled in white water. Each item corresponding to the data that needs to be output as a result is calculated in a similar manner. Through the correlation between raw materials and operations, we can accurately analyze and calculate the corresponding value that needs to be used as a result.

Therefore, this system classifies and groups raw materials. Raw materials with similar ingredients are planned into the same set, and only typical raw materials in the same set are maintained to represent the characteristics of the same type of raw materials. For example, the main category is egg Classes, including eggs, duck eggs, goose eggs, etc. Give priority to maintaining the data of eggs, which can replace the data of duck eggs and goose eggs to a certain extent. It can be further grouped, such as: organic group, group 1: eggs greater than 100g, group 2: eggs greater than 50g, less than 100g, etc. For example, duck eggs can be used instead of chicken eggs, since they have similar data. But if it is milk and cream, because it does not belong to a set, the system does not allow it when selecting raw material replacement. Such classification can effectively reduce the maintenance work of similar data and fully guarantee the accuracy of the system.

In the same way, similar classification and grouping can be performed for operations, which can be grouped according to the nature of the action, the specified attribute or the relevance of the dimensions, such as cutting, cutting, slicing, etc., which will not change the raw materials into a group. Such as frozen and refrigerated as a group, such as boiled, slow cook and braised as a group, such as discarding and evaporated as a group, such as frying, sautéing and frying. The data in the same group can be used as the selection basis for analogy, but the data in different groups cannot be used for analogy. In this way, the approximate calculation method and conversion data can be effectively used interactively to reduce the normal progress of the basic data analysis and calculation process due to the lack of necessary experimental data.

For a specific data set, its independent category and grouping, data maintenance can be performed on the whole, including coefficient factor maintenance (such as the adjustment of the precipitation factor), so as to obtain an effective calculation analog value, or according to the attributes of each grouping , to group different ingredients or operations into groups with the same attributes. Therefore, the data maintenance of categories and groups, including the maintenance and addition of categories and grouping items, and the maintenance of specific coefficient factors of categories and groups based on experimental analysis data are also important components of the data maintenance module.

Similarly, due to the three cases of missing values in the calculation results, laboratory detection values (full effective values), and analog calculation values (analysis result values), all calculation results need to match the corresponding labels and be adjusted according to the calculation. We define the full effective value, which is the effective result calculated based on the correlation of laboratory test values in the calculation process; the analysis result value is based on the full effective value, including the use of analog calculation values , but does not contain missing values; but when there are missing values (some specific data of a raw material cannot be directly matched with valid experimental record data in the operation process, or the analog calculation value can be calculated by analog calculation) the system will Make statistics on the content, and consider whether the mass percentage of the missing value corresponding to the raw material in the output result exceeds the defined error value. If it exceeds, the system will prompt in the result item that there may be a corresponding error in the output data of the calculation result , the existence of the error value is due to the lack of data of those raw materials. When the missing items are found, the user can submit a corresponding application to the management and maintenance personnel, improve the corresponding missing items, recalculate again, and finally obtain a perfect and effective result. The result content including the analysis result value will also be prompted to the user. The user can get specific information prompts including the error range and the proportion, and determine whether it is necessary to ensure that the full effective value accounts for the corresponding output ratio according to the use requirements. For the specific percentage, use it as needed or contact the maintenance and management personnel to supplement the corresponding data accurately. When it comes to the reprocessing of the same operation, it does not follow the rejump processing, but performs coefficient correlation calculations according to the preliminary jump rules using raw materials to prevent multiple errors. For example, fried tofu should be fried at 200 degrees Celsius for 2 minutes for the first time, and then fried at 180 degrees Celsius for 1 minute. At this time, instead of using the fried tofu data to search for the fried tofu data again, the same kind of cumulative non-linear coefficient calculation is performed. Another example: if the calorie data of a raw material is missing, if the raw material is more than 20% of the main ingredient, the lack of calorie data will cause a large error in the product data, and the missing data needs to be supplemented. If it is less than 5% of the raw material, the lack of its calorie data will not cause a large error in the product data, and there is no need to supplement, and the resulting value can still be used; when it is in the error area between 5% and 15% , the statistical analogy will be performed according to the category. If the analogy result corresponding to the analogy result value exceeds the corresponding interval of the real result value (such as the calorie is greater than 10%), it is considered that the product data has a large error, and the missing data needs to be supplemented. , otherwise there is no need to supplement, and the resulting value can still be used.

Since each step is properly planned and close to reality, at the same time, the process is standardized and recorded based on the logic of the computer system, so that the corresponding taste value and nutritional value can be calculated according to the steps. Fundamentally, the taste value and nutritional value of each template is the solution obtained according to the fixed calculation method according to the corresponding specific raw materials and operation methods in the process of each link in the pre-order. The calculation form is equivalent to an effective equation. The left side calculates the specific taste value and nutritional value set on the right side of the equation through the set of corresponding values of raw materials and operation methods. Therefore, this solution can also choose a template according to the needs of users, and adjust the existing taste and nutrition values on the basis of perfect taste and nutrition values, which is equivalent to the set on the right side of the calculation formula. If there is a change, it is necessary to deduce the specific values corresponding to different raw material operations on the left side of the equation. Because the standard calculation method is based on the coefficient equation generated by the application of the basic data set according to the specific actual application scenario, without changing the basic data set (the corresponding raw material basic information data, and the basic information data after the method is changed), for By solving the multi-factor equations of operation equations, environmental factors, and coefficients of variation, approximate effective values can be obtained as the solution to deduce the data in the pre-procedure process such as raw materials and operations, and provide effective reference for users. Among them, the operational equations, environmental factors, and coefficients of variation can be effectively maintained and added through the data module management module according to the specific needs of actual usage scenarios and experimental analysis results.

Specifically: the above-mentioned raw material collection module increases the collection of data such as taste value and/or nutritional value of raw materials, precipitation coefficient, volatilization coefficient, infiltration coefficient, etc. Of course, the taste value and/or nutritional value even affects the value of the corresponding taste value Data such as precipitation coefficient, volatilization coefficient, infiltration coefficient, physical properties, chemical properties, temperature, air pressure, time, volume, weight, etc. can all be maintained through the initialization of raw materials or the above data management module to affect the taste value and nutritional value. The above-mentioned edible part and inedible part (discarded part) may also be included in the raw material. Different operations of raw materials will affect the taste value and nutritional value, so different operations will trigger changes in the taste value and nutritional value of raw materials, which also need to be maintained in the database through initialization or the dynamic data of the above-mentioned data management module. Therefore, in the actual calculation, different calculation methods are triggered through different operation methods so that the value can reach the actual measurement of the real situation.

After the superposition of various operations based on any possible method, various raw materials will produce multiple possibilities. With full consideration of various possibilities, this system defines several transformation modes: denaturation mode, conversion mode, and precipitation mode And the default unchanged mode (default mode), and other special modes that do not belong to the above four modes.

Among them, the denaturation mode refers to: within a certain period of time, under the normal operation mode, the resulting product is relatively stable. For example: Raw eggs (raw materials) become mature eggs (products) after being boiled in hot water for 8 minutes (operation). This change process belongs to conversion. For the converted products, all data previously maintained through the data management module can be accessed. The dimension data obtains the nutritional value and taste value of the product.

Among them, the conversion mode refers to: within a certain period of time, under the normal operation mode, the resulting product is unstable, and a relatively stable product cannot be obtained. For example: milk (raw material) becomes yogurt (product) after fermentation (operation), and the corresponding nutritional value and taste value have changed. This change process belongs to denaturation. For denatured yogurt, you can refer to All dimension data maintained by the data management module obtains the nutritional value and taste value of the product.

Among them, the precipitation mode refers to: the combined product obtained by the precipitation effect of the raw material after the superposition of the raw material and the operation. For example: Zanthoxylum bungeanum (raw material) becomes Zanthoxylum bungeanum oil after high-temperature frying (operation), and the precipitation changes during this process. When considering the nutritional value and taste value, it is necessary to consider the precipitation of Zanthoxylum bungeanum and the precipitation of oil. Zanthoxylum bungeanum The precipitation coefficient of the oil and the precipitation coefficient of the oil, and at the same time discard the fried pepper in the calculation, and finally calculate the effective pepper oil, that is, after the oil and pepper are heated, the pure oil retained after the corresponding pepper is discarded, so as to calculate Taste value and nutritional value. The specific calculation method is similar to that by considering the coefficient of precipitation of fried pepper data in oil, which corresponds to the total amount of pepper used and whether it reaches the upper limit of dissolution as the effective mass of pepper remaining in the oil, while for oil, it corresponds to the direction operation The mass of oil wrapped and adsorbed on the fried pepper to be discarded, so that the final pepper oil is equal to the effective value of the fried pepper remaining in the oil minus the oil wrapped and adsorbed on the oil to be discarded The effective value on the fried pepper, so as to calculate the corresponding nutritional value and taste value. The system also defines scenarios such as volatilization and infiltration in the cooking process, that is, the precipitation mode of variants, but uses different coefficients for calculation and processing.

However, the special mode refers to situations other than the above four methods. When the system occurs in the system other than the above four methods, the data maintenance module in the data management module is notified to maintain the corresponding data.

For another example, based on the same raw material, but with the prolongation of the operation time, there will be periodic changes. For example, roasting beef at 200 degrees for 10 minutes is a conversion, but 350 degrees for 10 minutes will cause denaturation, conversion and denatured products. Great changes have also taken place in the nutritional and taste values. When judging the conversion mode or the denaturation mode, the upper and lower limits of the raw materials and/or operations are limited, so as to judge whether it is denaturation or conversion based on the upper and lower limit data.

The present invention includes a judgment and error correction module, which acquires data information from the raw material collection module and the operation collection module, and interacts with the data management module in real time to obtain the required detailed information of raw materials, operations and products, and according to the superposition mode of raw materials in different operations , to determine different modes, and finally to determine the taste value and/or nutritional value of the product.

The various overlay modes of the corresponding multi-dimensional data of raw materials, operations and products are dynamically maintained in the database through the data management module. When there are missing or incomplete values, according to the specific needs, the user will first consider the effective analog calculation value through the calculation analogy, or must provide the necessary experimental detection real value as the necessary calculation data, the user will get the corresponding in the first time As a reminder, the user can decide whether to use the analog calculation value or provide or require the maintenance manager to provide the corresponding basic data maintenance items.

The above examples are all single raw materials and single operations, such as multiple raw materials are gradually operated in stages, and the nutritional value and taste value of each stage of raw materials after the operation of this stage are superimposed, and serve as the initial stage of the next stage. Value, after different operations in the new stage, the standardization calculation of the new nutritional value and taste value is being carried out. The realization of the above scheme is achieved by maintaining the relationship between raw materials and operations, which will lead to at least four changes: denaturation, conversion, precipitation and no change. Through the specific raw materials and operation methods of different actual processes, such a cycle, through standardized calculation rules and conversion methods, the corresponding taste value and nutritional value of the finished product are finally obtained, so as to provide users with corresponding reference.

Claims (10)

1. Taste and nutritional data processing system based on process data collection, characterized in that the data processing system includes:

   A client, used to send a raw material query request, an operation query request or a selection request, the client includes a first processing unit, a first communication unit, a first storage unit, a first display unit, An input unit, the first storage unit stores an operating system, a query front-end program and a query result information: and

   A server end, the server end includes a second communication unit, a second storage unit, and a second processing unit; the second storage unit stores a raw material collection module, an operation collection module, and a query back-end program , and a data management module; the raw material collection module includes a raw material query module and a raw material information completion module, and the raw material operation collection module includes an operation query module and an operation information completion module; the second processing The unit includes a conversion calculation module and an error correction judgment module; wherein the raw material query module: according to the raw material query requirements, queries the data management module for the raw material information and generates a raw material interaction page, and according to the operation query requirements Query the corresponding operation information from the data management module and generate an operation interaction page;

   The user terminal selects any one of the raw material information from the raw material interaction page as a selected raw material according to the selection requirement, and the query of the corresponding raw material from the data management module according to the selected raw material information, and generate a first result page according to the queried raw material information, select any one of the operation information from the operation interaction page as a selected operation according to the selection requirements, and the operation query module according to the The selected operation queries the data management module for the corresponding operation information, and generates a second result page according to the inquired operation information;

   The processing unit generates the query result information according to the first result page and the second result page, and the processing unit stores the query result information in the storage unit;

   The data management module stores at least one product information, at least one raw material information, at least one operation information or a combination thereof and further maintains the taste value and/or nutritional value of the raw material and the raw material dimension information that affects the taste value and/or nutritional value, and Further maintain the specific operation that affects the taste value and/or nutritional value of the raw material, and the raw material dimension information associated with the specific operation; the taste value and/or nutritional value of the raw material includes the laboratory detection value maintained by the data maintenance module;

   The conversion calculation module defines the conversion process of raw materials and operations in different situations, the conversion calculation module obtains the interactive data delivered by the raw material acquisition module and the operation acquisition module, and interacts with the required dimension data in the data management module, Determine the transformation mode of each step, so as to determine the corresponding relationship between raw materials and products in each step, and obtain the taste value and/or nutritional value of the product in this step during each transformation process, as the taste value and/or nutritional value of the next step The nutritional value is gradually accumulated to obtain the taste value and/or nutritional value of the final product;

   The error correction judgment module judges whether the calculation result value of the taste value and/or nutritional value in each step is valid, and if there is a valid laboratory detection value of the product of this step in the system, then use the detection value of the laboratory , if missing or incomplete values appear in the system, the data maintenance module requires the maintenance manager to provide corresponding basic data maintenance items.
2. The taste and nutrition data processing system based on process data collection as claimed in claim 1, characterized in that:

   The data management module classifies and/or groups the raw materials and/or operations, and the raw materials and/or operations with similar attributes are planned into the same collection, and the typical raw materials and/or operations in the same collection are preferentially maintained. Other raw materials and/or operations refer to the basic data of the typical raw materials mentioned above, which can be used as analogous calculation values through analogy calculation;

   The error correction judgment module judges whether the calculation result value of the taste value and/or nutritional value in each step is valid, and if there is a valid laboratory detection value of the product of this step in the system, then use the detection value of the laboratory , if there is a missing or incomplete value in the system, it will compare the raw materials of similar categories according to the classification data of the raw materials, and calculate the corresponding analog calculation value based on the corresponding numerical analog of the same operation sequence; when some specific data of a certain raw material In the operation process, if the laboratory detection value cannot be directly matched, or the analog calculation value cannot be used, the data maintenance module is started to improve the missing value.
3. The taste and nutrition data processing system based on process data collection as claimed in claim 2, characterized in that:

   The conversion calculation module at least includes a denaturation mode and a conversion mode. The denaturation mode refers to: within a certain period of time, the resulting product is relatively stable under the normal operation mode; the conversion mode refers to: within a certain period of time, the conventional operation mode In this way, a relatively stable product cannot be obtained;

   The judgment of conversion mode and conversion mode is realized by limiting the upper and lower limits of raw materials and/or operations, and the conversion calculation module realizes the limitation of different modes by judging the relationship between raw materials and operations.
4. The taste and nutritional data processing system based on process data collection as claimed in claim 3, characterized in that:

   The error correction judging module includes a first judging module, the first judging module considers whether the mass percentage of raw materials corresponding to the missing value accounts for the output result exceeds a defined error value, and if it exceeds the defined error value, the system will The item indicates that there is a corresponding error in the data of the output of the calculation result. The reason for the error value is the lack of data of the corresponding raw material; for this missing item, the corresponding missing item is improved through the data maintenance module, and the calculation is performed again. Get a valid result value.
5. The taste and nutritional data processing system based on process data collection according to claim 4, characterized in that: the error correction judgment module includes a second judgment module, and the second judgment module further considers the analysis result value The content of the results will be prompted to the user, and the user will be prompted with specific information including the error range and the proportion, and determine whether it is necessary to ensure the specific percentage of the full effective value in the corresponding output ratio according to the use requirements, and then use or contact as needed Maintenance and management personnel make corresponding accurate data supplements; among them, the analysis result value is based on the full effective value, including the case of using the analog calculation value, but does not include the missing value.
6. The taste and nutrition data processing system based on process data collection according to claim 4, characterized in that: the raw material dimension information that affects the taste value and/or nutritional value further includes: edible part, discarded part, precipitation coefficient, volatilization Factors, infiltration coefficients, physical properties, chemical properties, temperature, pressure, time, volume and/or weight information.
7. The taste and nutritional data processing system based on process data collection as claimed in claim 5, characterized in that: said data management module includes a group data maintenance module, including maintenance and addition of its own categories and grouping items, and for Category- and group-specific coefficient factors were maintained from experimental analysis data.
8. The taste and nutrition data processing system based on process data collection according to claim 7, characterized in that: the raw materials are more than one kind, and the nutritional value and/or taste value of the raw materials in each stage after the operation of the stage Accumulation, as the initial value of the next stage, undergoes new operations in the new stage to superimpose new nutritional value and/or taste value, and finally obtain the nutritional value and/or taste value of the finished product.
9. The taste and nutrition data processing system based on process data collection according to claim 8, characterized in that: the conversion calculation module includes a precipitation mode, and the precipitation mode refers to: the precipitation effect of raw materials is caused by the superposition of raw materials and operations The resulting combined product.
10. The taste and nutrition data processing system based on process data collection according to claim 9, characterized in that: based on the perfect taste value and/or nutrition value, the existing taste value and nutrition value are adjusted, Reversely deduce the specific values corresponding to different raw material operations.

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