CN113760867A

CN113760867A - Taste and nutrition data processing system based on flow data acquisition

Info

Publication number: CN113760867A
Application number: CN202111007185.5A
Authority: CN
Inventors: 温南夫
Original assignee: Individual
Current assignee: Individual
Priority date: 2021-08-30
Filing date: 2021-08-30
Publication date: 2021-12-07
Also published as: WO2023030154A1

Abstract

The invention relates to a taste and nutrition data processing system based on flow data acquisition, which comprises an acquisition module and a data management module, wherein the acquisition module comprises a raw material acquisition module and/or an operation acquisition module, and comprises a transformation calculation module and an error correction judgment module; by collecting the taste and the nutrient elements and fully considering the collected raw materials and the factors influencing the taste and the nutrient elements in the operation process into the system design, the obtained taste value and the nutrient value are closer to the real data. Each step is properly planned and is close to reality, and meanwhile, the flow standardized record is carried out based on the logic of a computer system, so that the corresponding taste value and the corresponding nutrition value are perfectly calculated according to the steps. Therefore, according to the scheme, a template can be selected according to the requirements of a user, on the basis of perfect taste values and nutrition values, the existing taste values and nutrition values are adjusted, the same as that the set on the right side of the calculation formula is changed, and specific values corresponding to different raw material operations on the left side of the equation need to be reversely deduced, so that the preparation process and the raw material list required for achieving the expected finished product are determined.

Description

Taste and nutrition data processing system based on flow data acquisition

Technical Field

The invention belongs to the technical field of computer software application, and particularly relates to a taste and nutrition data processing system based on flow data acquisition.

Background

The Chinese granted patent CN111625562B flow data processing system realizes informatization and data acquisition and management of real matters such as raw materials, appliances and/or operations, so that non-professional data acquisition and recording personnel in different fields and different cultures can realize professional data acquisition and recording through automatic guidance, and lay a solid foundation for subsequent data processing and application.

The flow data processing system establishes a flexible data platform which can be continuously supplemented and perfected and has high automation degree, and records different basic data of related contents in different fields. And under the premise of diversified foundation, the automatic guidance of different input stages is standardized according to the operation guidance requirements of different fields. All operation processes are divided into basic architectures, and the basic architectures are divided into two categories of raw materials and operation, so that the normative management and control of the unified flow are performed on different time steps of the actual operation flow. The professional input selection in different fields is perfected through the guidance of different types of contents, the operation of simultaneous processing in the same time period is taken as the only specified standard, the actual contents are divided according to different operation flows and time nodes, and the information of each step is perfected through one-by-one input. Different steps (flows of the same time period) are combined according to the sequencing of the time sequence, and the complete flow of the real operation is restored in an information-based form capable of being recorded. Therefore, professional personnel of non-data acquisition records in different fields and different cultures can realize professional data acquisition records through automatic guidance, and lay a solid foundation for subsequent data processing and use.

The flow data processing system can also be applied to the catering field, and the dish taste and the dish nutrient elements in the catering industry are very important data. However, most of the current systems simply add up the taste and nutrition values according to the raw materials and the amounts thereof, which are far from the real data, and cannot provide data support for the raw materials and the operation by using the taste data and the nutrition data.

Disclosure of Invention

The invention aims to incorporate data information related to taste and nutrition into an acquisition program based on the conventional flow data processing system, and repeatedly acquire the data information in cooperation with flows such as judgment and verification.

The invention provides a taste and nutrition data processing system based on flow data acquisition, which comprises an acquisition module and a data management module, wherein the acquisition module comprises a raw material acquisition module and/or an operation acquisition module, a transformation calculation module and an error correction judgment module;

the data management module further maintains the taste value and/or the nutrition value of the raw material and the dimension information of the raw material influencing the taste value and/or the nutrition value, and further maintains the specific operation influencing the taste value and/or the nutrition value of the raw material and the dimension information of the raw material related to the specific operation; the taste value and/or the nutrition value of the raw material comprise laboratory detection values maintained by a data maintenance module;

the conversion calculation module limits the conversion processes of raw materials and operations under different conditions, obtains interactive data transmitted by the raw material acquisition module and the operation acquisition module, interacts with required dimensional data in the data management module, determines the conversion mode of each step, determines the corresponding relation between the raw materials and the product in each step, acquires the taste value and/or the nutrition value of the product in each conversion process as the taste value and/or the nutrition value of the next step, and gradually accumulates to obtain the taste value and/or the nutrition value of the final product;

and the error correction judging module is used for judging whether the calculation result value of the taste value and/or the nutrition value in each step is effective, if the effective laboratory detection value of the product in the step exists in the system, the detection value of the laboratory is used, and if the missing or incomplete numerical value exists in the system, the error correction judging module and the data maintenance module require a maintenance manager to provide a corresponding basic data maintenance item.

Further, the method comprises the following steps: the data management module classifies and/or groups the raw materials and/or operations, raw materials and/or operations with similar attributes are planned to the same set, typical raw materials and/or operations in the same set are preferentially maintained, and basic data of other raw materials and/or operations in the same set, which refer to the typical raw materials, can be used as an analog calculation value in an analog calculation mode;

the error correction judging module is used for judging whether the calculation result value of the taste value and/or the nutrition value in each step is effective or not, if the effective laboratory detection value of the product in the step exists in the system, the detection value of the laboratory is used, if the missing or incomplete numerical value appears in the system, the similar types of raw materials are compared according to the classification data of the raw materials, and the corresponding analog calculation value is calculated by depending on the corresponding numerical value analogy in the same operation sequence; when some specific data of a certain raw material cannot be directly matched with a laboratory detection value or cannot use an analog calculation value in an operation flow, a data maintenance module is started to perfect a missing value.

Wherein: the transformation calculation module at least comprises a denaturation mode and a conversion mode, wherein the denaturation mode is as follows: within a certain time, under the conventional operation mode, the product is relatively stable; the conversion mode is as follows: in a certain time, a relatively stable product cannot be obtained in a conventional operation mode;

the conversion mode and the conversion mode are judged by limiting the upper limit and the lower limit of the raw materials and/or the operation, and the conversion calculation module realizes the limitation of different modes by judging the incidence relation of the raw materials and the operation.

Wherein: the error correction judging module comprises a first judging module, the first judging module considers whether the mass percentage of the missing value corresponding to the raw material in the output result exceeds a defined error value, if the mass percentage exceeds the defined error value, the system prompts that the data of the output product of the calculation result has a corresponding error in a result item, and the reason for the existence of the error value is caused by the data missing of the corresponding raw material; and aiming at the missing item, perfecting the corresponding missing item through the data maintenance module, and recalculating again to finally obtain an effective result value.

Wherein: the error correction judging module comprises a second judging module, the second judging module further considers result content comprising an analysis result value and prompts the result content to a user, the user obtains specific information prompt comprising an error range and a proportion condition, whether the specific percentage of a complete effective value in a corresponding output proportion needs to be ensured or not is determined according to the use requirement, and then corresponding data accurate supplement is carried out by using or contacting maintenance management personnel according to the need; the analysis result value includes the case of using the analog calculation value on the basis of the complete effective value, but does not include the missing value.

Wherein: the ingredient dimensional information affecting taste value and/or nutritional value further comprises: edible portion, discarded portion, precipitation coefficient, volatilization coefficient, infiltration coefficient, physical property, chemical property, temperature, gas pressure, time, volume, and/or weight information.

Wherein: the data management module comprises a group data maintenance module, which comprises the maintenance and addition of the self category and the grouping item, and the maintenance of the specific coefficient factors of the category and the group according to experimental analysis data.

Wherein: the raw materials are more than one, the nutrition value and/or the taste value of the raw materials in each stage after the operation in the stage are accumulated to be used as the initial value of the next stage, new operation is carried out in the new stage, and the new nutrition value and/or the new taste value are overlapped to finally obtain the nutrition value and/or the taste value of the finished product.

Wherein: the transformation calculation module comprises a precipitation mode, wherein the precipitation mode is as follows: the combination of the raw materials and the operation results in the precipitation effect of the raw materials.

Wherein: based on the perfect taste value and/or nutrition value, the prior taste value and nutrition value are adjusted, and the specific values corresponding to the operation of different raw materials are reversely deduced.

According to the scheme of the invention, the beneficial effects are as follows: by collecting the taste and the nutrient elements and fully considering the collected raw materials and the factors influencing the taste and the nutrient elements in the operation process into the system design, the obtained taste value and the nutrient value are closer to the real data. Each step is properly planned and is close to reality, and meanwhile, the flow standardized record is carried out based on the logic of a computer system, so that the corresponding taste value and the corresponding nutrition value are perfectly calculated according to the steps. Therefore, according to the scheme, a template can be selected according to the requirements of a user, on the basis of perfect taste values and nutrition values, the existing taste values and nutrition values are adjusted, the same as that the set on the right side of the calculation formula is changed, and specific values corresponding to different raw material operations on the left side of the equation need to be reversely deduced, so that the preparation process and the raw material list required for achieving the expected finished product are determined.

Drawings

FIG. 1 is a logic diagram of a data processing system according to the present invention.

FIG. 2 is a schematic diagram of information about steps of obtaining nutritional values and flavor values using a process data processing system according to the present invention.

Detailed Description

The invention comprises a user terminal and a database, and the corresponding function is completed through the interaction between a user terminal interface and the database. The user side comprises an information input interface and a maintenance interface, the information input interface is mainly used for information input guiding interaction with personnel in different literacy and different fields, and the maintenance interface is mainly used for maintenance and expansion of platform basic data. It comprises two major core parts, a first part: a process data processing system, and a second part: the visualized management and control information system is based on the flow data processing system.

First, referring to fig. 1, for a part of a process data processing system, in general, a purpose of platform entry is to perform informatization entry on a real operation process quickly, accurately and professionally. The most basic is to carry out standardized general division on the real scene without influencing the specific specification requirements corresponding to different fields. In the current real scene, the patent takes a time axis as a reference system, and is divided into a standard step according to specific matters of simultaneous operation in the same time period. When the steps of each standard in a complete process are sequentially collected, a complete operation process in reality can be restored, and the restored operation process conforms to the reproducibility and the integrity of a scientific process. Therefore, in order to better explain the implementation of the present patent, the detailed entry of the specific steps of the client is first explained.

The platform system needs to judge the use language (including the region of language use, so as to standardize the difference of different languages and cultural habits, such as English-American style, English-English style, English-Australia, and the like) selected by the current user. And the user language is used for registering as the language used by the user by default of the language of the user operating system when the user performs data entry at the client side for account creation. Of course, the user can define the language used by himself on the platform, so as to change the platform using language initially set up.

According to the use languages corresponding to different users, the platform can display different interface languages, and information of corresponding language region options is matched to serve as first priority content to guide the users to complete data acquisition and input of practical process informatization. As described above, the data acquisition and entry of the real process informatization basically collects step information sets of simultaneously operating the raw material content in the same time period. While the composition of step information may include two broad categories, raw materials and operations, respectively. Wherein the material refers to the material information included in the operation in the participation time period, including but not limited to raw material, apparatus, product of the last step, etc. The operation is referred to as a "guiding" purpose, and may be described as a "normative" behavior guide, including, but not limited to, an operation guided by a personal will, a behavior judged by machine control, and a behavior guided by a biological instinct. The combination of the raw materials and the operations forms the conditions necessary for a recordable operation sequence within the same time period. Therefore, the step information input of the patent is composed of a raw material acquisition module and an operation information acquisition module.

The information entered by the user is informationized entered mainly by complementing the information in the system by interaction, and the information is divided into entered flow information and system data information, which will be described in detail below.

Referring to fig. 1, the present invention first discloses a flow data processing system, which includes an acquisition module and a data management module; the acquisition module acquires raw materials in the same time period in steps and processes the raw materials, and comprises a raw material acquisition module and/or an operation acquisition module; the data management module stores raw material information and/or operation information and/or product information, wherein the raw material information comprises self attribute information of raw materials and/or environment attribute information of the raw materials; the operation information comprises operation actions and/or behavior guide and/or judgment behaviors; the product information is the aggregate information formed by the raw material information and/or the operation information collected in the same time period and/or the raw material information and/or the operation information collected in a plurality of time periods; wherein, the raw material information and the operation information both comprise basic description and/or dimension information and/or associated information; the raw material acquisition module comprises a raw material query module, the raw material query module and the data management module interactively query the existing raw material information and display the information at a user end for a user to select; the operation acquisition module comprises an operation query module, the operation query module and the data management module interactively query the existing operation information and display the operation information at a user end for selection by a user; the raw material acquisition module further comprises an information completion module which receives raw material information selected by a user side and interacts with the data management module to generate an interaction page and completes the details of the raw material information; the operation acquisition module further comprises an information completion module which receives the operation information selected by the user side and interacts with the data management module to generate an interaction page and completes details of the operation information; the supplemented raw material information and the operation information in the same step form product information of the step and store the product information to the data management module; and the material information and the operation information which are completed in multiple steps form aggregate information which is also used as product information and stored in the data management module. The data management module comprises a data maintenance module, the data maintenance module maintains name definition and/or dimension definition and/or professional definition of raw material information and operation information, and the name definition and/or dimension definition and/or professional definition comprise but are not limited to: adding, revising, corresponding units, inputting numerical value ranges, selecting items, displaying corresponding system modes, matching multiple languages, and associating related basic description and dimension information. The data maintenance module maintains the raw material information and the operation information according to groups. The data maintenance module further comprises 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 adjusting module are/is related to original product information. And the information completion module generates an interactive interface containing dimension information according to the basic description and/or the dimension information of the raw material information and/or the operation information selected by the user side, and the user side inputs specific data according to the corresponding dimension information to finish the acquisition work. The information completion module further comprises a professional matching option which is used as a selection item to be interacted with the user side; and the professional matching options are generated and maintained through a data maintenance module. The raw material query module comprises precise retrieval and/or fuzzy retrieval. And triggering a newly added interaction module after the related content is not retrieved by the accurate retrieval and/or the fuzzy retrieval, sending the user requirement to the data maintenance module by the newly added interaction module, and maintaining the newly added requirement into the raw material information and/or the operation information by the data maintenance module. The material query module also includes a mismatch information processing module that lists the search result set but provides a prompt after a corresponding result that the record does not match the retrieved region.

The corresponding functions and embodiments of the relevant modules are described in detail below.

Raw material collection module

The raw material acquisition module comprises a raw material query module and an information completion module.

1. Raw material query module

The raw material query module comprises an accurate retrieval module, a fuzzy retrieval module, a newly added raw material interaction module and a mismatching information processing module.

The fuzzy retrieval module triggers a background query interface according to the keywords input by the user, preferentially matches the contents containing the corresponding keywords and arranges the contents according to a certain sequence on the basis of not distinguishing the languages, such as: common names, display names, detailed names, academic names, dialect names, acronyms, and the like. Relevant but non-identical content is further supplemented after the preferentially matching key content by fuzzy search. And the displayed content is displayed by preferentially displaying a language consistent with the operation interface of the information input personnel as a first preferred language, and when the related language information cannot be matched, the content is preferentially matched according to the query condition.

And the accurate retrieval module points to the unique raw material, appliance or product ID in the background database according to the accurate ID input by the user to perform corresponding accurate positioning, and simultaneously displays corresponding display contents corresponding to the system region language defined by the user on an interactive interface.

When the displayed content of the search result of the user has no effective matching data or the displayed data can not meet the requirements of the user, corresponding application submitting interaction options are set in the operation interface, namely, a newly added interaction module is included, the newly added interaction module submits unsatisfied information content to a data management module person or provides corresponding supplementary application to the data management module person, and after the corresponding information dimension information is perfected through a data maintenance module and an incidence relation is established, the user can use the completely new content applied by the user. Similar to the mode, when any correlation abnormality found by a user in the using process of the platform system can be fed back to a background maintenance person, the background maintenance person can supplement completion and maintenance of platform data information from names to dimension correlation and the like through corresponding modular operation, the newly added interaction module can be an interaction frame of a user side, the user directly responds to the background after entering the requirement, and the background enters basic information of raw material information and/or operation information and/or maintenance information and correlation information through the data maintenance module.

Except the content which can be normally retrieved and is not recorded temporarily in the database, some content is the recorded information which is proposed by the user but is not in line with the current retrieval area, the prompt processing is carried out by calling the corresponding unmatched information database, and the data processing module is not called next step. For example, a search is performed using "heat" as a keyword in a search area of the material. When similar situations occur, the system lists the corresponding search result set according to the operation language selected by the user, but the corresponding related results give a prompt at the rear: "this record cannot be selected", and please try to match the search professional category.

It should be noted that, based on the idea of the present invention, the database further includes step information formed by combining raw materials and operations, or aggregate information of multiple steps, and the step information of a certain step and the aggregate information of multiple steps are regarded as products. The product is also regarded as a raw material which can be subjected to multiple retrieval and selected, and besides the conventional input search retrieval, the product generated by the product is preferably listed as a selectable alternative raw material item in the entering process of the same general flow. Meanwhile, products of other input processes can also be used as raw materials and input and used by different input processes as raw material conditions, and the search conditions can be quickly matched in forms of accurate matching and the like (the accurate search module) through special IDs (besides the fuzzy search module) through user keyword search. The product and the raw materials or steps in the product can be separated, can be subjected to multiple searches and can be selected. Specifically, information about selection, editing, recording and the like of the product is requested to be checked in a product selection module.

2. Information completion module

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

When the user selects any one of the listed search results by using the raw material query module, the system can correspond to the unique ID in the database according to the search result item. For example, whether "alcohol", "Ethanol", "CH", or "Ethanol", "CH", or "Ethanol", or "CH", is chosen₃CH₂OH ", etc., which corresponds to the substantive ID in the database. And after the unique ID is called in the database, different information is displayed to complement and input the interactive content in the system interaction of different professional acquisition requirement specifications according to the ID information. Including common physical attributes of the feedstock including, but not limited to, mass, temperature, gas pressure, state, volume, etc. Meanwhile, for the acquisition entry requirements in some industries, corresponding information entry contents containing default options can be supplemented. For example, in the field of food processing, there are cases where the raw material is eaten or not and where the inedible part is removedIn the medical field, it is judged whether or not the sterile state is present. "different fields, the judgment entry option corresponding to the entry information is automatically generated by the system data maintenance, which will be described in detail later.

Through corresponding maintenance information of the raw materials in a database, automatically generated acquisition and entry interactive interfaces containing unit selection, numerical entry and professional standard judgment are used, non-professional data acquisition personnel can quickly complete the acquisition and entry through corresponding interaction, and the raw materials are required to be entered in corresponding professional fields in an informationization mode.

For example, in the field of food processing, "eggs" are selected as result items, and through the interactive association relationship of the database, the interaction of the user side can show input items such as "numerical value/unit", "raw material temperature", "ambient temperature", "altitude", "atmospheric pressure", "whether to eat", "whether to remove inedible parts", and the like. The 'value/unit' is measured by the user, including but not limited to (ml, L, g, kg, large egg (average 57g), gal, oz, bl), and then matched with the value recorded by the user, the amount of the 'egg' used as the raw material can be accurately defined, and the temperature, the ambient temperature, the altitude and the air pressure can respectively define the state of the 'egg' and the environment. The corresponding professional matching options such as 'whether to eat' and 'whether to remove inedible parts' as selection interaction containing default options can achieve quick input of standardized operation contents meeting the professional field and reserve enough personalized input space for non-standardized operation contents.

Meanwhile, platform maintenance personnel can quickly supplement the formatted input interactive interface according to the requirements of different specialties. The formatted interactive content comprises pull-down selection, pull-down selection with default values, a numerical value input window, single selection, multiple selection and other interactive modes. By maintaining the entry requirements and the association relations of different data, combining different formatted interactive contents, and supplementing corresponding interactive text guidance and associated data, corresponding rapid adjustment can be performed on different entry contents. All the contents of the drop-down boxes or the data input boxes or the single-selection multi-selection are information maintained in a formatting mode, complex debugging is not needed, and all information of the corresponding group is quickly matched through group management of the corresponding input contents. And filling corresponding numerical values under the standard template by the user and checking corresponding options. Thereby ensuring the realizability and authenticity between different data.

For example: comparing the just-mentioned example "egg", in the maintenance, there are associated with the corresponding "numerical value/unit-composed of drop-down boxes containing default items, numerical value input boxes", "raw material temperature-2 drop-down boxes containing default items, one data input box", "ambient temperature-composed of drop-down boxes containing default items, numerical value input boxes", "altitude-composed of drop-down boxes containing default items, numerical value input boxes", "atmospheric pressure-composed of drop-down boxes containing default items, numerical value input boxes", "whether to eat or not to eat-single selection containing default values", "whether to eliminate inedible parts-single selection containing default values"; when an appliance in the field of food processing is recorded as one of raw materials, only two parts of 'value/unit' consisting of a drop-down box containing default items, a value input box and 'preheating temperature' which are related in a database and consisting of a drop-down box containing default items and a value input box are displayed. Therefore, the user does not need to fill invalid junk information to realize quick entry, and meanwhile, the corresponding flow in reality cannot be restored due to different entry reference conditions.

And the operation acquisition module comprises an operation query module and an information completion module.

1. And operating the query module.

The query matching logic of the operation query module is consistent with the query matching logic of raw material collection, and the operation query module mainly comprises an operation query module and an operation input module. The raw material query module can trigger a background query interface according to keywords input by a user, preferentially matches the contents containing the corresponding keywords on the basis of not distinguishing languages, arranges the contents according to a certain sequence, further supplements related but different contents after the preferentially matched key contents through fuzzy retrieval, and returns a query result corresponding to the keywords, wherein the query result comprises: common names, display names, detailed names, academic names, dialect names, acronyms, etc. (such names are maintained and labeled in the data module). The displayed content is displayed in a language consistent with the operation interface of the information input personnel preferentially, the language is used as a first preferential language for displaying, and when the related language information cannot be matched, the preferential content matching is carried out according to the query condition.

When the content displayed by the search result of the user has no effective matching data or the displayed data can not meet the requirements of the user, the user can use the brand new content applied by the user after the corresponding verification of the system is completed and the incidence relation is established by submitting the unsatisfied information content to the data management module personnel through the corresponding application submitting interaction options on the operation interface. Similar to the form, when the user uses the platform system, any discovered correlation abnormality can be fed back to the background maintenance personnel, and the background maintenance personnel can supplement completion and maintenance from names to dimension related information through corresponding modularization operation. Specific implementations and processes will be described in detail in the data management module section.

In addition to content that can normally be retrieved and temporarily not recorded in the database, there are also some content that has been proposed by the user but that does not fit in the recorded information of the current retrieval area. For example, a search is performed using "water" as a keyword in a search area of the operation. When similar situations occur, the system lists the corresponding search result set according to the operation language selected by the user, but the corresponding related results give a prompt at the rear part to make sure that the record cannot be selected, and please try to meet the content of the search professional category.

2. Information completion module

When the user selects any one of the listed search results through searching, the system can correspond to the unique ID in the database according to the search result item. The unique ID calls corresponding dimension related information in a database where the corresponding operation is located, and the dimension related information is interactively displayed with the front end. The specific interactive information conforms to the corresponding profession, and the normative limitation conditions for the operation of the specific interactive information include but are not limited to: time, magnitude unit, numerical value, operation range, and the like corresponding to different dimension definition information related to the operation.

For example: heating in a chemical experiment needs to determine the mode as a heat source and the corresponding heat effect value; the heating mode is separated or direct heating; heating duration and the like of the specific information values in different dimensions.

Certainly, the entering personnel do not enter in any language form, but supplement of specific numerical values, selection of units or specific selection of different condition options are carried out according to specific information given by the entering interaction guidance on the basis of giving specific dimension description. And the corresponding interactive content is displayed, so that the convenient interaction mode of the input personnel is optimized on the basis of partially giving a default value.

The specific interaction mode is illustrated as an example: in the field of food processing, after a slice is selected by an input person as an operation, two-dimensional information of ' volume ' and ' time ' is popped up, and the volume comprises options of ' slice: 5cm by 2.5cm by 0.2cm, thick sheet 5cm by 2.5cm by 0.4cm and self-defined size, when the user selects the self-defined size, the corresponding values of length, width and height and unit input boxes can be displayed on an interactive interface, and the corresponding default unit cm can be given according to the interactive default display requirement in the Chinese environment in the field of food processing; but the user can customize the relevant interaction units as desired. The specific time entry is similar interaction, and options of 'self-definition' and 'quick estimation' are given under the default condition, wherein the self-definition is that the user can enter time length information for specific operation under the condition that different units can be selected; and the rapid estimation is to call the coefficients of the operation 'slice' corresponding to different categories and total mass in the database according to the information of the category, total mass and the like of the raw materials input by the user in the step, and obtain a general standard value in the form of product. The specific value of the coefficient is obtained by averaging multiple samplings under the standard of laboratory specifications.

The maintenance of the related and default values and the automatic calculation data is obtained by performing supplementary maintenance on the existing basis by data management module personnel under the condition that corresponding requirements are provided by acquisition and entry personnel in the related field. The maintainer can maintain different default values according to the acquisition and input requirements of different specialties, and provide corresponding data requirements for a laboratory according to requirements, and different standards of different specialties for different acquired and input operation information contents are supplemented on the basis of perfecting data information.

And for the specific interactive content displayed by the dimension of the operation acquisition interactive interface, a specific implementation scheme in the operation step of inputting the completion record of the personnel is required. By completing and perfecting the corresponding information in a modularized way, the specific content takes a display operation link as a sample, and professional acquisition information needing to be clear is recorded and input. And according to the modularized and informationized interaction mode, on the basis of uniformly and professionally acquiring an interaction interface, different modes and different languages of culture difference interaction are provided for the input personnel. Meanwhile, cross-cultural field and background input is provided, and aiming at the problem that input personnel cannot clearly search or define related contents in the corresponding cultural background (especially for the advanced field of scientific research, multi-language and multi-culture clear and detailed definition cannot be made in a short time, the input personnel can inquire and select the cross-cultural background according to the cognition of the related field of the input personnel), or the input personnel has diversified background and needs to use input options of different cultural backgrounds.

Thirdly, a product selecting module

Besides the normal input of new raw materials in the steps, the output products of the process flow through other steps are also an important source of the raw materials of the complete process flow. According to the above description, the product is the step information obtained in the previous step, i.e. including the raw materials and operations in the same time period, and also includes the collective information of multiple steps.

For better recording and maintaining standardized entries, the product is formed by splicing together the specific raw materials and operations of the preceding steps and entered into the system for use as a result, or as a quote of the raw materials of the subsequent steps. Because the products existing in the system are formed by the recorded content step flows, the corresponding digitalized information is consistent and corresponding to the preorder steps, and the situations of information loss or information omission can not occur.

For example, in the field of food processing, the material of the preceding step is eggs and the operation is cooking. When eggs are completely input in the preorder step to serve as specific information of raw materials (refer to two subsections of the preorder of the chapter), and corresponding operation cooking is input (refer to an operation acquisition section in a specific inputting mode), output products of the steps are step IDs (generated and recorded by a system according to the corresponding numbering sequence of the steps) + eggs and cooking, and the step of generating the product can be quickly checked according to the step IDs.

And products generated by combination of multiple steps or nested products are generated by the same logic. In the display, the generation contents are listed in the forms of raw materials and products respectively and are arranged according to the selection sequence. Meanwhile, the last step which is recorded in the system can be quickly defined according to the step ID, so that the recording user can clearly show the specific details of the content selected by the user. Meanwhile, all information is subjected to relevant matching by calling the ID of the existing content in the database, so that the content input by the user can be displayed to different viewing users in different languages and systems, and the recorded content is not ambiguous due to cultural and professional differences.

In addition to the complete product in the previous step, there are many cases in which the input personnel needs to select a part of products, or different numbers of products are subjected to subsequent operations, which requires corresponding splitting or accumulation of the number of products. In the system, a user calls historical step products required to be used in a database, and the historical step products are completely displayed in an interactive interface. When the user chooses to edit the product, the system generates a new supplementary ID on the basis of the original step ID, and the newly generated product is new content formed by related operations through the original ID. In the editing interface, a user can change different use proportions of each raw material by selecting to edit the corresponding product, but cannot edit the operation. This achieves different levels of selected products without altering the historical formation of existing content.

The input user can edit the product, such as selectively using the formed product, but the input processing can not be performed when some operations of chemical change or denaturation change of the existing raw material are met. As simple examples, electrolysis of water produces hydrogen and oxygen, or fermentation of milk and yeast forms yogurt and water. The products of the steps are changed in the nature of the raw materials, so that the input user can directly carry out effective splitting and accumulation on the raw materials in the subsequent links. Just like the oxygen that electrolytic water produced, we are through different technical means, and the oxygen that quality water produced in unit interval is different, and specific magnitude can't be simply carry out accurate matching through prior art, so in this technical scheme, if meet similar needs and carry out the split to the degeneration product and add the condition of using, the entry personnel can get in touch with data management module personnel through the assistance button of interactive interface. After submitting corresponding formal materials and being audited by maintenance personnel, the maintenance personnel can carry out corresponding ID replacement on the generated products in the original steps, so that the products are the corresponding original raw material IDs, such as fermented products of milk and yeast, and are not replaced by step ID, milk, yeast and fermentation, but replaced by step ID, yoghourt and water. Therefore, the condition that related products cannot be further selected and recorded due to special denaturation change can be solved.

Fourth, data management module

The data management module is a module for managing data at the database end, comprises storage of various data, and interacts with the functional module at the user end to complete corresponding functions. The data management module comprises a data maintenance module which ensures that the basic content, the maintenance content and the incidence relation of various data are accurately stored, and the data management module is added, revised and deleted according to the requirements of customers,

in order to ensure the specialty, comprehensiveness, convenience and standardization of input information aiming at input personnel with different cultures, different backgrounds and different specialties; a highly specialized and flexibly scalable need is sufficient and necessary for an information-based entry system. Therefore, complete separation of data and frames is achieved when the system is built, association of corresponding frames is achieved by relying on different data requirements, strong automation is achieved, and the perfect data interaction input system can be continuously expanded.

The data is generally divided into two broad categories, raw data and entered data. The original data is used as a necessary data basis for interactive display of the system, except for data which is allowed to be imported in the initial stage by the system, corresponding detected data is input by data management module personnel according to requirements of different specialties after investigation and verification, and sources of the data are mostly provided by laboratories. The recorded data is recorded by system users, according to the requirements of each specialty and based on the original data of the system, the actual operation process is complementally displayed by the interactive interface of the system to the partial content of the recorded data of the corresponding process so as to achieve the datamation and informatization process record under the same reference.

The existing form of the original data mainly comprises name definition, dimension definition and professional definition of things. Where a name definition includes the primary display name in different languages, the common name, the academic name, the common name, the colloquial calling law, and other definitions of different forms that appear linguistic to the same thing. The part is mainly related to the retrieval of raw materials and operations, and the different nominal contents of the same thing under different languages are used as a component part of the relatively frequent maintenance of the data management module. By continuously maintaining and supplementing different definition names of the same object, the user can inquire the object to be used according to the definition known per se.

The dimension definition is for things its specific composition definition for existence and reality, just like for objects in general, the data maintenance module can manage its corresponding group to automatically relate its specific physical dimensions of mass, volume, state (solid, liquid, gas, etc.), temperature, etc. to describe the specific form it is observed in, of course we can provide a specific definition service for individual things. For the operation flow, the specific operation mode, the corresponding operation time and other factors constitute a specific condition for the operation flow which can be recognized and executed. And compared with the object, the dimensions of quality, volume, temperature, time and the like are independent and used as a reference frame to measure the standard of the object, and the data management module is used for associating the dimensions needing to be associated with the object as a definition of the object. Thus, in the system entry interaction, the user can perform a normalized and clarified entry option and obtain a normalized entry data.

For example, when an object is associated with dimensional information in a database corresponding to mass, volume, and temperature. When the user selects to input the data information of the corresponding object, unit options corresponding to the mass dimension, the volume dimension and the temperature dimension and input numerical options are prompted on the interactive interface. The system can be called from a database according to the setting of a user, corresponding to different units of mass, volume and temperature, and giving out default units according with the input habit of the user, and the user needs to input corresponding values of dimensionality in the current step according to the actual process. The input data in the system can store standard raw material information.

The dimension information participating in defining the specific things can also be maintained by the system, and the maintained contents include, but are not limited to, information of new addition, revision, corresponding units, input numerical value ranges, selected items, corresponding mode modes and the like. The different information also has different definitions between different languages and different calluses, and needs to be maintained in a database. As mentioned above, the display form corresponding to the interactive interface mainly includes a fixed numerical value input box, a pull-down option, a multi-choice option, and a single-choice option, and the corresponding display form is bound to the dimension information or the professional information. The standardized and normalized data criterion can be obtained for different items, and the different types of meanings of different systems are recorded and the standards are consistent.

The profession definitions and the dimension definitions are in a sense consistent, but they focus more on the standardized definitions needed by different professions. For example, in the field of food processing, whether inedible parts contained in an object need to be automatically removed or whether inedible parts are already removed by a user when the user records the inedible parts. The dimensional option of rejecting inedible parts obviously does not need to be explained in the field of chemical experiments, because it is obviously not necessary to consider whether the used raw materials can be eaten or not in the field of chemistry. And different professional field definitions can be entered into different field interface ends by a user, so that different definition dimensions and corresponding interaction of different professional fields for the same thing are activated.

In addition to the maintenance of the raw data, the maintenance of the logging data is also an important function of the data management module. As mentioned above, the assistance function is mainly performed by the data management module. The purpose of the helper function has been specifically described above, mainly for the problem of handling changes in different forms of products resulting from the recording of some specialization information. The interaction mode of the data entry assisting function on the data management module interface is basically consistent with that of an interaction interface corresponding to a common user, and specific things can be added, deleted and modified. The function of the system can cause the problems of inconsistent data records, fake data and the like for the normalized entry, so the system can not be opened for common users. When a common user provides a specific operation request and submits necessary certification materials and corresponding data results, the data management module personnel can compile and modify the contents uploaded by the user and carry out related identification, thereby ensuring the standardization and the consistency of system input information.

In addition, if the user needs to complement the content in the content, the user clicks the maintenance link in the interactive interface, the user can contact with the maintenance customer service, specific information and requirements needing to be added and modified are provided, and the user can change the content after the system maintenance personnel check and maintain the content. And the data maintainer can feed back the requirement proposed by the input personnel to corresponding professional personnel for judgment and classification, and corresponding maintenance management is carried out after multi-person audit, so that ambiguous or repeated data can not appear in the database.

Please refer to fig. 2, which is an application system for acquiring taste values and nutrition values by using the above-mentioned flow data processing system, and the design principle is that data for determining taste values and/or nutrition values is first incorporated into the data management module, and the data acquisition and update are performed by the raw material acquisition module and the operation acquisition module. Namely: the system maintains the taste value and/or the nutrition value of the raw materials into original data, in most cases, certain raw materials form new products after certain operation, the taste value and/or the nutrition value of the new products are changed, and the system maintains the taste value and/or the nutrition value of the new products into the original data or the recorded data for other modules of the system to read. The data management module further maintains the taste value and/or the nutrition value of the raw material and raw material dimension information influencing the taste value and/or the nutrition value, further maintains specific operation influencing the taste value and/or the nutrition value of the raw material and raw material dimension information related to the specific operation.

The combination of raw materials and operations can cause various conditions, but the change of taste values and nutrient values can be caused under different conditions, different transformation modes are defined on the basis of collection, the transformation processes of the raw materials and the operations under various conditions can be truly reflected, the taste values and/or the nutrient values of the step are collected in each transformation process and serve as the initial values of the taste values and/or the nutrient values of the next step, the transformation is carried out in a new round, the steps are repeated in such a way, finished products are finally formed, and the taste values and/or the nutrient values obtained in the final step are closer to the actual values.

The dimension definition is realized, for example, the operation of baking the raw material 'egg' is performed, the temperature is defined, the modes in the calculation module are changed correspondingly under different temperature conditions, for example, the conversion mode is 100 degrees, and the denaturation mode is 150 degrees. The data with high correlation degree between the temperature, the air pressure, the time and the denaturation mode and the conversion mode are maintained at the upper limit and the lower limit.

Meanwhile, for the difference change and the sequence caused by different operation modes, the content with completely changed data is preferentially obtained for use according to the basic change and the sequence corresponding to the raw materials, and the data is obtained through laboratory detection analysis (laboratory detection values). Certainly, the detected data cannot be used to cover all application scenarios, and similar types of raw materials are compared according to the classification data of the raw materials, and corresponding approximate results (analog calculation values) are calculated by means of corresponding numerical analogs in the same operation sequence. Example (c): if the system contains calorie data of the eggs which are boiled in the white water and fried again, when the data of the same flow is needed, the corresponding data can be directly called for use in the subsequent links, and the requirements can be met. However, when the missing calorie data of the duck eggs cooked with the white water and re-fried needs to be used, the calorie data of the duck eggs cooked with the white water is preferentially used, and then the same proportion calculation is carried out according to the same type of calorie data of the eggs cooked with the water and the eggs cooked with the white water and re-fried to correlate and calculate the calorie data of the duck eggs cooked with the white water and re-fried. Each item corresponds to data needing to be output as a result, calculation is carried out in a similar mode, and through the relevance relation between raw materials and operation, the corresponding numerical value needing to be output as a result can be accurately analyzed and calculated.

Therefore, the system classifies and groups the raw materials, the raw materials with similar components are planned to the same set, and the raw materials in the same set can represent the characteristics of the same type of raw materials only by maintaining typical raw materials, such as: the major types are eggs, including, chicken eggs, duck eggs, goose eggs, etc. Preferentially maintain the data of eggs, can replace the data of duck eggs, goose eggs to a certain extent. And can be further grouped, such as: organic group, group one: eggs greater than 100g, group two: greater than 50g, less than 100g, etc. For example, duck eggs may be used instead of chicken eggs, as there is similar data. However, in the case of milk and cream, the system is not allowed when selecting the replacement of the raw material because they do not belong to a group. By the classification, the maintenance work of the same type of data can be effectively reduced, and the accuracy of the system can be fully ensured.

Similarly, similar classification and grouping can be performed for operations, and operations that do not change the material, such as dicing, cutting, slicing, etc., can be grouped according to the nature of the action, the correlation of specified attributes or dimensions. Such as freezing and refrigerating, such as boiling, slow stewing and stewing, such as discarding and evaporating, such as frying, stir-frying and frying. Data in the same group can be used as the analogy selection basis, and data in different groups cannot be analogized. Therefore, the method effectively carries out interactive use on the approximate calculation mode and the conversion data, and reduces the problem that the basic data analysis calculation process cannot normally progress due to the lack of necessary experimental data.

For a specific data set, the independent classes and groups thereof can perform data maintenance on the whole, including coefficient factor maintenance (e.g., adjustment of precipitation factors), so as to obtain an effective calculated class ratio value, and different raw materials or operations can be incorporated into groups having the same attribute according to the attribute of each group. Therefore, the data maintenance of the category and the group, including the maintenance and the addition of the category and the grouping item, and the maintenance of the specific coefficient factors of the category and the group according to the experimental analysis data are also important components of the data maintenance module.

Similarly, in the 3 cases of missing value, laboratory detection value (complete effective value), and analog calculation value (analysis result value), all the calculation results need to match with the corresponding label and be adjusted according to the calculation. We define a complete valid value, which is a valid result calculated by correlating completely according to laboratory detection values in the calculation process; the analysis result value is based on the complete effective value, including the case of using the analog calculation value, but not including the missing value; however, when a missing value (some specific data of a certain raw material cannot be directly matched with valid experimental record data in an operation flow, or an analog calculation value can be calculated by an analog calculation manner) occurs, the system performs statistics on the content, whether the mass percentage of the missing value corresponding to the raw material in the output result exceeds a defined error value is considered, if the mass percentage of the missing value corresponding to the raw material in the output result exceeds the defined error value, the system prompts in a result item that the data of the output result of the calculation result possibly has a corresponding error, and the error value is caused by the missing of the data of the raw material. When the missing item is found, the user can provide corresponding application to the management and maintenance personnel, perfect the corresponding missing item, and recalculate the calculation again to finally obtain a perfect and effective result. And the result content containing the analysis result value is also prompted to the user, the user can obtain specific information prompt including the error range and the proportion condition, whether the specific percentage of the complete effective value in the corresponding output proportion needs to be ensured is determined according to the use requirement, and then the user uses or contacts a maintenance manager to perform corresponding data accurate supplement according to the need. When the same operation is processed again, the coefficient correlation calculation is carried out according to a preliminary skip rule of the used raw materials instead of the skip processing again, so that multiple errors are prevented. Such as fried bean curd, is first fried at 200 deg.C for 2 minutes, and then fried again at 180 deg.C for 1 minute. In this case, the same kind of integrated nonlinear coefficient calculation is performed instead of searching again the fried bean curd data after frying using the fried bean curd data. For another example: if a raw material lacks calorie data, if the raw material is more than 20% of the main material, the calorie data of the raw material is missing to cause a large error of product data, and the missing data needs to be supplemented. If the calorie data of the raw material is less than 5 percent, the loss of the calorie data does not generate large errors of the product data, so that the supplement is not needed, and the result value can still be used; when the error is in the error range of 5% -15%, statistical analogy is performed according to the category, if the analogy result corresponding to the analogy result value exceeds the corresponding interval (for example, the calorie is greater than 10%) of the real result value, the product data is considered to have a large error, the missing data needs to be supplemented, otherwise, the missing data does not need to be supplemented, and the result value can still be used.

Because each step is properly planned and is close to reality, and meanwhile, the flow standardized record is carried out based on the logic of a computer system, so that the corresponding taste value and the corresponding nutrition value are perfectly calculated according to the steps. Fundamentally, the taste value and the nutrition value of each template are solutions obtained according to specific raw materials and operation modes corresponding to the flow of each link in the preamble and according to a fixed calculation mode. The calculation form is equivalent to an effective equation, and the left side calculates the right specific set of taste and nutritional values of the equation from the set of corresponding values of the raw materials and the operation modes. Therefore, according to the scheme, one template can be selected according to the requirements of a user, on the basis of perfect taste values and nutrition values, the existing taste values and nutrition values are adjusted, the set on the right side of the calculation formula is changed, and specific values corresponding to different raw material operations on the left side of the equation need to be reversely deduced. Because the standard operation mode is a coefficient equation generated by corresponding to the application basic data set according to a specific real application scene, on the basis of not changing the basic data set (corresponding raw material basic information data and basic information data after mode change), the operation equation, the environmental factor and the change coefficient are subjected to multi-factor equation solution, and an approximate effective value can be obtained to be used as a solution for reversely deducing data in the primary processes of raw materials, operation and the like, so that an effective reference is provided for a user. The operation equation, the environmental factor and the change coefficient can be effectively maintained and increased through the data module management module according to the specific requirements of the real use scene and the experimental analysis result.

Specifically, the method comprises the following steps: the raw material collection module is added with the collection of data such as taste value and/or nutrition value, precipitation coefficient, volatilization coefficient, infiltration coefficient and the like of the raw materials, and certainly, the taste value and/or nutrition value, and even the data such as precipitation coefficient, volatilization coefficient, infiltration coefficient, physical property, chemical property, temperature, air pressure, time, volume, weight and the like which influence the corresponding taste value can be maintained by initializing the raw materials or performing data maintenance on the data management module, and the raw materials which influence the taste value and the nutrition value can also comprise the edible part and the inedible part (discarded part). Different operations of the raw materials can affect the taste value and the nutrition value, so that the different operations can trigger the change of the taste value and the nutrition value in the raw materials, and the change also needs to be maintained in a database through initialization or the dynamic number of the data management module. Therefore, different calculation modes are triggered through different operation modes in actual calculation, so that the numerical value reaches the actual measurement of the real condition.

The various raw materials can generate a plurality of possibilities after various operations are superposed based on any possible mode, and the system defines several transformation modes under the condition of fully considering the various possibilities: a degeneration mode, a transformation mode, a precipitation mode, a default invariance mode (default mode), and other special modes not belonging to the above four modes.

Wherein, the denaturation mode refers to: the result is a relatively stable product over time in the normal mode of operation. For example: raw eggs (raw materials) are boiled in hot water for 8 minutes and then become mature eggs (products), the change process belongs to conversion, and for the converted products, all dimensional data maintained by the data management module before can be read to obtain the nutritional values and the taste values of the products.

Wherein, the conversion mode is as follows: over time, the resulting product was unstable and a relatively stable product could not be obtained under conventional operating conditions. For example: the milk (raw materials) is changed into the yoghourt (product) after being fermented (operated), the corresponding nutrition value and taste value are changed, the change process belongs to denaturation, and the nutrition value and taste value of the product can be obtained through all dimensional data maintained by the data management module before the denatured yoghourt is retrieved.

Wherein, the precipitation mode is as follows: the combination of the raw materials and the operation results in the precipitation effect of the raw materials. For example: the pepper (raw material) is fried (operated) at high temperature to become pepper oil, the precipitation change occurs in the process, when the nutrition value and the taste value are considered, the precipitation of the pepper and the precipitation of oil, the precipitation coefficient of the pepper and the precipitation coefficient of the oil are considered, the fried pepper is discarded in the calculation, and finally the effective pepper oil is calculated, namely the pure oil which is reserved after the corresponding pepper is discarded after the oil and the pepper are heated is fished out, so that the taste value and the nutrition value are calculated. The specific calculation mode is similar to that the total amount of the pepper used by considering the coefficient of the fried pepper data precipitated in the oil corresponds to the pepper use amount and whether the pepper is used as the effective mass of the pepper remained in the oil after reaching the upper limit of dissolution, and for the oil, the direction operation corresponds to the mass of the pepper wrapped by the oil and adsorbed on the fried pepper to be discarded, so that the final effective value of the pepper oil, the pepper wrapped by the oil and the effective value of the pepper adsorbed on the fried pepper to be discarded are obtained, and the corresponding nutrition value and the corresponding taste value are calculated. The system also defines the precipitation mode of the variation, namely the situations of volatilization, infiltration and the like in the cooking process, and only uses different coefficients for operation processing.

And the special mode is the situation except the four ways, and when the situation except the four ways occurs in the system, the special mode informs the data maintenance module in the data management module to maintain the corresponding data.

For another example, based on the same raw materials, the change of the raw materials occurs in stages along with the prolonging of the operation time, for example, the beef is roasted for 10 minutes at 200 degrees, which belongs to conversion, but the denaturation occurs in 10 minutes at 350 degrees, and the nutritional value and the taste value of the converted and denatured products also change greatly. When the conversion mode or the denaturation mode is determined, the upper and lower limits of the raw material and/or operation are defined so as to determine whether to denature or convert the raw material or the operation based on the upper and lower limit data.

The invention comprises a judgment and error correction module which acquires data information from a raw material acquisition module and an operation acquisition module, interacts with a data management module in real time to acquire detailed information required by raw materials, operations and products, determines different modes according to the superposition mode of the raw materials in different operations, and finally determines the taste value and/or the nutrition value of the product.

And various superposition modes of corresponding multi-dimensional data of raw materials, operations and products are dynamically maintained in the database through the data management module. When the missing or imperfect values are found, according to specific needs, firstly, the effective analog calculation value is calculated through calculation, or necessary experimental detection real value must be provided as necessary calculation data, the user will get a corresponding prompt for the first time, and then the user can decide whether to use the analog calculation value or provide the maintenance manager with or request the maintenance manager to provide the corresponding basic data maintenance item.

The above examples are all single raw materials and single operation, for example, multiple raw materials are gradually staged, the nutrition value and the taste value of the raw material in each stage after the operation in the stage are overlapped to be used as the initial value of the next stage, and the raw material in the new stage is subjected to different operations, and the standardized calculation of new nutrition value and taste value is carried out. The implementation of the above scheme is realized by maintaining the association relationship between the raw materials and the operations, which results in at least four changes: denaturation, transformation, precipitation and no change. Through specific raw materials and operation modes of different practical processes, the steps are circulated, and through standardized calculation rules and conversion modes, the corresponding taste value and nutrition value of the finished product are finally obtained, so that corresponding reference is provided for a user.

Claims

1. Taste and nutrition data processing system based on flow data acquisition contains collection module, data management module, collection module contains raw materials collection module and/or operation collection module, its characterized in that: the device also comprises a transformation calculation module and an error correction judgment module;

2. The flavor and nutritional data processing system based on procedural data collection of claim 1, wherein:

the data management module classifies and/or groups the raw materials and/or operations, raw materials and/or operations with similar attributes are planned to the same set, typical raw materials and/or operations in the same set are preferentially maintained, and basic data of other raw materials and/or operations in the same set, which refer to the typical raw materials, can be used as an analog calculation value in an analog calculation mode;

3. The flavor and nutritional data processing system based on procedural data collection as recited in claim 2, wherein:

the transformation calculation module at least comprises a denaturation mode and a conversion mode, wherein the denaturation mode is as follows: within a certain time, under the conventional operation mode, the product is relatively stable; the conversion mode is as follows: in a certain time, a relatively stable product cannot be obtained in a conventional operation mode;

4. The flavor and nutritional data processing system based on procedural data collection of claim 3 wherein:

the error correction judging module comprises a first judging module, the first judging module considers whether the mass percentage of the missing value corresponding to the raw material in the output result exceeds a defined error value, if the mass percentage exceeds the defined error value, the system prompts that the data of the output product of the calculation result has a corresponding error in a result item, and the reason for the existence of the error value is caused by the data missing of the corresponding raw material; and aiming at the missing item, perfecting the corresponding missing item through the data maintenance module, and recalculating again to finally obtain an effective result value.

5. The flavor and nutritional data processing system based on procedural data collection of claim 4 wherein: the error correction judging module comprises a second judging module, the second judging module further considers result content comprising an analysis result value and prompts the result content to a user, the user obtains specific information prompt comprising an error range and a proportion condition, whether the specific percentage of a complete effective value in a corresponding output proportion needs to be ensured or not is determined according to the use requirement, and then corresponding data accurate supplement is carried out by using or contacting maintenance management personnel according to the need; the analysis result value includes the case of using the analog calculation value on the basis of the complete effective value, but does not include the missing value.

6. The flavor and nutritional data processing system based on procedural data collection of claim 4 wherein: the ingredient dimensional information affecting taste value and/or nutritional value further comprises: edible portion, discarded portion, precipitation coefficient, volatilization coefficient, infiltration coefficient, physical property, chemical property, temperature, gas pressure, time, volume, and/or weight information.

7. The flavor and nutritional data processing system based on procedural data collection of claim 5 wherein: the data management module comprises a group data maintenance module, which comprises the maintenance and addition of the self category and the grouping item, and the maintenance of the specific coefficient factors of the category and the group according to experimental analysis data.

8. The flavor and nutritional data processing system based on procedural data collection of claim 7 wherein: the raw materials are more than one, the nutrition value and/or the taste value of the raw materials in each stage after the operation in the stage are accumulated to be used as the initial value of the next stage, new operation is carried out in the new stage, and the new nutrition value and/or the new taste value are overlapped to finally obtain the nutrition value and/or the taste value of the finished product.

9. The flavor and nutritional data processing system based on procedural data collection of claim 8, wherein: the transformation calculation module comprises a precipitation mode, wherein the precipitation mode is as follows: the combination of the raw materials and the operation results in the precipitation effect of the raw materials.

10. The flavor and nutritional data processing system based on procedural data collection of claim 9, wherein: based on the perfect taste value and/or nutrition value, the prior taste value and nutrition value are adjusted, and the specific values corresponding to the operation of different raw materials are reversely deduced.