A pig breeding data management system

Abstract

The application provides a pig breeding data management system, comprising a data structure tree module for displaying pig breeding data in a tree structure; and a data statistics module for statistically marking the feeding effect level of the pig breeding data at each growth stage, and displaying the statistical result in a chart structure; so that the user can select items in the tree structure and / or chart structure to view the required data. The pig breeding data is displayed in two forms of tree structure and chart structure, the feeding effect level of the pig breeding data at each growth stage is statistically marked, and the statistical result is displayed in a chart structure, so that the user can more intuitively view the number of pig breeding data corresponding to each different feeding effect marking level, and view the pig breeding data according to the feeding effect marking level or the number, thereby meeting the user's demand for data viewing based on the statistical result.

Description

Technical Field

[0001] The present invention belongs to the field of pig breeding data management, and in particular relates to a pig breeding data management system. Background Art

[0002] Traditionally, pig breeding data has been managed using paper documents. With the development of intelligent technology, the trend is to store pig breeding data on servers to facilitate systematic user queries. However, current pig breeding data is typically stored as data strips, and each piece of data is displayed in a list format, making it difficult for users to view. After filtering out the relevant data, users still need to perform their own statistics, which cannot meet the growing needs of users. Summary of the Invention

[0003] The present invention provides a pig breeding data management system to solve the problem that the current pig breeding data is displayed in a list form, which is inconvenient to view and cannot meet the needs of users for viewing based on statistical results.

[0004] According to a first aspect of an embodiment of the present invention, there is provided a pig breeding data management system, comprising:

[0005] Data structure tree module, used to display pig breeding data in a tree structure;

[0006] The data statistics module is used to collect statistics on the feeding effect calibration level of the pig breeding data at each growth stage and display the statistical results in a chart structure; so that the user can select items in the tree structure and / or chart structure to view the required data.

[0007] In an optional implementation, the data structure tree module displays the corresponding pig breeding data in the pig breeding database in a tree structure, each pig breeding data in the pig breeding database includes multiple growth stages, each growth stage includes feed parameters, environmental parameters, feeding plan and feeding effect calibration level, the feed parameters, environmental parameters and feeding plan all include corresponding specific implementation methods, in the tree structure, the growth stage is taken as the first level, the three categories of feed parameters, environmental parameters and feeding plan are taken as the second level, and the specific implementation methods of the feed parameters, environmental parameters and feeding plan are taken as the third level;

[0008] The data statistics module is based on the corresponding pig breeding data in the pig breeding database, and for each growth stage, counts the number of pig breeding data at different feeding effect calibration levels, obtains the corresponding relationship between the feeding effect calibration level and the number of pig breeding data at the growth stage, and displays the corresponding relationship at each growth stage in a graphical structure;

[0009] The user selects the corresponding specific implementation mode under the corresponding category in the corresponding tree structure of the data structure tree module corresponding to the data structure tree module at the corresponding growth stage to view the corresponding specific implementation mode under the corresponding category at the corresponding growth stage. In combination with each specific implementation mode of other categories under the growth stage, what kind of feeding effect calibration level can be achieved;

[0010] The user selects the feeding effect calibration level in the chart under the corresponding growth stage of the data statistics module, and selects all categories under the growth stage in the tree structure of the data structure tree module to view how the specific implementation modes under each category are combined to achieve the feeding effect calibration level at the growth stage;

[0011] The user selects the feeding effect calibration level in the chart under the corresponding growth stage of the data statistics module, and selects the corresponding specific implementation mode under the corresponding category in the tree structure of the data structure tree module at the corresponding growth stage to view which specific implementation modes of other categories are combined to achieve the feeding effect calibration level at the growth stage.

[0012] In another optional implementation, the data structure tree module is initially empty, and the data statistics module initially displays each breed of live pigs and each generation of each breed. After the user selects the corresponding generation of the corresponding breed, the data statistics module sends a first selection signal including the breed and generation to the data structure tree module;

[0013] The data structure tree module screens the names of breeding farms with the breed and generation from the live pig breeding database according to the breed and generation in the first selection signal, and displays each screened name of the breeding farm in a tree structure;

[0014] After the user selects the corresponding name of the breeding farm, the data structure tree module screens live pig breeding data with the breed and generation under the breeding farm from the live pig breeding database; displays the screened live pig breeding data in a tree structure; the tree structure takes the growth stage as the first level, the feed parameters, environmental parameters, and feeding plan as the second level, and the specific implementation modes of the feed parameters, environmental parameters, and feeding plan as the third level,

[0015] After the user selects the corresponding breeding farm name, the data structure tree module also sends a second selection signal including the breeding farm name to the data statistics module; the data statistics module filters the pig breeding data of the breed and generation under the breeding farm from the pig breeding database according to the breeding farm name in the second selection signal; based on the filtered pig breeding data, the number of pig breeding data under different feeding effect calibration levels is counted for each growth stage, and the corresponding relationship between the feeding effect calibration level and the number of pig breeding data under the growth stage is obtained, and the corresponding relationship under each growth stage is displayed in a chart structure.

[0016] In another optional implementation, when the user wants to view the pig breeding data of the corresponding feeding effect calibration level under the corresponding growth stage, the user can select the corresponding feeding effect calibration level under the corresponding growth stage from the data statistics module, and then the data statistics module sends a first selection signal including the growth stage and the feeding effect calibration level to the data structure tree module;

[0017] The data structure tree module filters the pig breeding data of the feeding effect calibration level under the growth stage from the pig breeding data filtered last time according to the growth stage and the feeding effect calibration level in the first selection signal, takes the feed parameters, environmental parameters, and feeding plan as the first level, takes the specific implementation of the feed parameters, environmental parameters, and feeding plan as the second level, and displays the filtered pig breeding data in a tree structure;

[0018] At this time, if the user wants to view the specific implementation under the corresponding category, which is combined with which specific implementation under other categories, to achieve the feeding effect calibration level in the growth stage, the user can select the specific implementation under the corresponding category from the data structure tree module; then the data structure tree module sends a second selection signal including the category and the specific implementation to the data statistics module; the data statistics module filters the pig breeding data having the specific implementation under the category from the pig breeding data filtered last time, and displays the combination of the specific implementation under the category and the corresponding specific implementation under other categories, and also displays the breed and generation, breeding farm name, growth stage, and feeding effect calibration level;

[0019] At this time, if the user wants to view the combination of the specific implementation mode under each category to achieve the feeding effect calibration level at the growth stage, the user can select all categories from the data structure tree module; the data structure tree module sends a second selection signal including all categories to the data statistics module; the data statistics module displays the combination of the specific implementation mode under each category based on the last screened pig breeding data, and also displays the breed and generation, breeding farm name, growth stage and feeding effect calibration level.

[0020] In another optional implementation, when the user wants to view the feeding effect calibration level that can be achieved by combining the corresponding specific implementation mode under the corresponding category at the corresponding growth stage with each specific implementation mode of other categories at the growth stage, the user can not select the feeding effect calibration level in the data statistics module, but directly select the corresponding specific implementation mode under the corresponding category at the corresponding growth stage from the data structure tree module; thereafter, the data structure tree module sends a second selection signal including the growth stage, category and specific implementation mode to the data statistics module; the data statistics module screens the pig breeding data having the specific implementation mode under the category at the growth stage from the last screened pig breeding data, displays the combination of the specific implementation mode under the category at the growth stage with the corresponding specific implementation mode of other categories, and the feeding effect calibration level corresponding to each combination; and also displays the breed and generation, breeding farm name and growth stage.

[0021] The beneficial effects of the present application are:

[0022] 1、The present application displays pig breeding data in tree structure and chart structure, and statistically calibrates the feeding effect calibration level of the pig breeding data at each growth stage, and displays the statistical results by chart structure, so that the user can more intuitively view the number of pig breeding data corresponding to each different feeding effect calibration level, and view the pig breeding data according to the feeding effect calibration level or the number, thereby meeting the user's demand for data viewing based on statistical results.

[0023] 2、The data structure tree module and the data statistics module are designed to interact with each other, and adjust their display content based on the interaction information, thereby simplifying the display content options, so that the user can quickly find the required options, thereby improving the user's data viewing efficiency.

[0024] The present application can view the corresponding specific implementation mode of the corresponding category under the corresponding growth stage, combined with each specific implementation mode of other categories under the growth stage, to achieve what kind of feeding effect calibration level, view the specific implementation mode under each category in the growth stage to achieve the feeding effect calibration level, view the specific implementation mode under the corresponding category combined with which specific implementation mode of other categories can achieve the feeding effect calibration level in the growth stage, and all the data viewed are after statistical analysis, not in the form of list, so as to greatly improve the good experience of the user in viewing the data.

[0025] The present application can refine data from multiple aspects, such as breed, generation, breeding field, growth stage, three categories including feed parameters, environmental parameters and feeding planning, and specific implementation mode of each category, so as to meet the needs of users in viewing data to a greater extent. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 is an embodiment structure schematic diagram of the pig breeding data management system of the present application;

[0027] Figure 2 is the first interface of the pig breeding data management of the present application;

[0028] Figure 3 is the second interface of the pig breeding data management of the present application;

[0029] Figure 4 is the third interface of the pig breeding data management of the present application;

[0030] Figure 5 is the data structure tree module expansion interface in the third interface of the present application;

[0031] Figure 6 is the fourth interface of the pig breeding data management of the present application;

[0032] Figure 7 is the fifth interface of the pig breeding data management of the present application;

[0033] Figure 8 is the sixth interface of the pig breeding data management of the present application. DETAILED DESCRIPTION

[0034] In order to make the person skilled in the art better understand the technical solutions in the embodiments of the present application, and make the above-mentioned purposes, characteristics and advantages of the embodiments of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be further described in detail below with reference to the drawings.

[0035] In the description of the present application, unless otherwise specified and limited, it is necessary to explain that the term "connection" should be understood broadly, for example, it can be mechanical connection or electrical connection, it can be the communication inside two elements, it can be direct connection or indirect connection through intermediate medium, and the specific meaning of the above-mentioned term can be understood by the person skilled in the art according to the specific circumstances.

[0036] Reference Figure 1 , an embodiment structure schematic diagram of the pig breeding data management system of the present application. The pig breeding data management system can be applied to a terminal, such as PC, etc., the system can include: a data structure tree module for displaying pig breeding data in a tree structure;

[0037] A data statistics module is used for statistical analysis of the feeding effect rating of the pig breeding data in each growth stage, and the statistical results are displayed in a chart structure; so that the user can select the items in the tree structure and / or chart structure to view the required data.

[0038] In this embodiment, the data structure tree module displays the corresponding pig breeding data in the pig breeding database in a tree structure, each pig breeding data in the pig breeding database includes a plurality of growth stages, each growth stage includes feed parameters, environmental parameters, feeding plan and feeding effect rating, the feed parameters, environmental parameters and feeding plan all include corresponding specific implementation, the tree structure takes the growth stage as the first level, the feed parameters, environmental parameters and feeding plan as the second level, and the specific implementation of the feed parameters, environmental parameters and feeding plan as the third level. The data statistics module is based on the corresponding pig breeding data in the pig breeding database, and the number of pig breeding data in different feeding effect rating is counted for each growth stage, and the corresponding relationship between the feeding effect rating and the number of pig breeding data in the growth stage is obtained, and the corresponding relationship in each growth stage is displayed in a chart structure.

[0039] The user selects the corresponding specific implementation under the corresponding category in the corresponding growth stage in the corresponding tree structure of the data structure tree module to view the corresponding specific implementation under the corresponding category in the corresponding growth stage, and the specific implementation of each category in the growth stage can achieve a certain feeding effect rating;

[0040] The user selects the feeding effect rating in the chart in the corresponding growth stage of the data statistics module, and selects all categories in the corresponding tree structure of the data structure tree module in the corresponding growth stage, to view the specific implementation of each category in the growth stage to achieve the feeding effect rating in the growth stage;

[0041] The user selects the feeding effect calibration level in the chart under the corresponding growth stage of the data statistics module, and selects the corresponding specific implementation method under the corresponding category of the growth stage in the corresponding tree structure of the data structure tree module to view the corresponding specific implementation method under the corresponding category and which specific implementation methods of other categories can be combined to achieve the feeding effect calibration level in the growth stage.

[0042] In addition, if Figure 2 As shown, the data structure tree module can be initially empty. The data statistics module initially displays various pig breeds and various generations of each breed. After the user selects the corresponding generation of the corresponding breed, the data statistics module sends a first selection signal including the breed and generation to the data structure tree module. The data structure tree module selects the names of breeding farms with the breed and generation from the pig breeding database based on the breed and generation in the first selection signal, and displays the selected breeding farm names in a tree structure, as shown in FIG. Figure 3 Each pig breeding data in the pig breeding database includes multiple growth stages, and each growth stage includes feed parameters, environmental parameters, feeding plan and feeding effect calibration level. The feed parameters, environmental parameters and feeding plan all include corresponding specific implementation methods.

[0043] After the user selects the corresponding breeding farm name, the data structure tree module filters out the pig breeding data of the breed and generation under the breeding farm from the pig breeding database; the growth stage is taken as the first level, the three categories of feed parameters, environmental parameters and feeding plan are taken as the second level, and the specific implementation methods of feed parameters, environmental parameters and feeding plan are taken as the third level, and the filtered pig breeding data are displayed in a tree structure. Figure 4 and Figure 5 shown.

[0044] After the user selects the corresponding breeding farm name, the data structure tree module will also send a second selection signal including the breeding farm name to the data statistics module; the data statistics module will filter out the pig breeding data of the breed and generation under the breeding farm from the pig breeding database according to the breeding farm name in the second selection signal; based on the filtered pig breeding data, for each growth stage, the number of pig breeding data at different feeding effect calibration levels is counted to obtain the corresponding relationship between the feeding effect calibration level and the number of pig breeding data at the growth stage, and the corresponding relationship at each growth stage is displayed in a chart structure, such as Figure 4 shown.

[0045] When reviewing pig breeding data, Figure 4 The interface shown can be divided into two situations:

[0046] The first case, when the user wants to view the pig breeding data corresponding to the growth stage and the corresponding feeding effect calibration level, the user can select the corresponding feeding effect calibration level corresponding to the growth stage from the data statistics module, and then the data statistics module sends a first selection signal including the growth stage and the feeding effect calibration level to the data structure tree module; the data structure tree module filters the pig breeding data of the feeding effect calibration level in the growth stage from the pig breeding data filtered last time according to the growth stage and the feeding effect calibration level in the first selection signal, takes the feed parameters, environmental parameters and feeding plan as the first level, the specific implementation of the feed parameters, environmental parameters and feeding plan as the second level, and displays the pig breeding data filtered this time in a tree structure, combined with the specific implementation of the feed parameters, environmental parameters and feeding plan in the second level, as shown in Figure 6 and Figure 7 .

[0047] At this time, if the user wants to view the specific implementation corresponding to the category, which is combined with the specific implementation of other categories, and can reach the feeding effect calibration level in the growth stage, the user can select the specific implementation corresponding to the category from the data structure tree module, as shown in Figure 7 ; then the data structure tree module sends a second selection signal including the category and the specific implementation to the data statistics module; the data statistics module filters the pig breeding data with the specific implementation in the category from the pig breeding data filtered last time, and displays the combination of the specific implementation in the category and the specific implementation corresponding to other categories, and also displays the breed and generation, breeding farm name, growth stage and feeding effect calibration level;

[0048] At this time, if the user wants to view the combination of the specific implementation in each category, which is combined with the specific implementation of other categories, and can reach the feeding effect calibration level in the growth stage, the user can select all categories from the data structure tree module, as shown in Figure 6 ; the data structure tree module sends a second selection signal including all categories to the data statistics module; the data statistics module displays the combination of the specific implementation in each category based on the pig breeding data filtered last time, and also displays the breed and generation, breeding farm name, growth stage and feeding effect calibration level.

[0049] The second case, when the user wants to view the specific implementation corresponding to the category in the corresponding growth stage, which is combined with the specific implementation of each category in the growth stage, and can reach what kind of feeding effect calibration level, for the interface shown in Figure 4 , the user can not select the feeding effect calibration level in the data statistics module, but expand Figure 4The tree structure of the data structure tree module in the data structure tree module directly selects the specific implementation method corresponding to the corresponding category of the corresponding growth stage from the data structure tree module, such as Figure 8 As shown; thereafter, the data structure tree module sends a second selection signal including the growth stage, category and specific implementation method to the data statistics module; the data statistics module selects the pig breeding data with the specific implementation method under the category at the growth stage from the pig breeding data screened last time, and displays the combination of the specific implementation method under the category at the growth stage and the corresponding specific implementation methods under other categories, and the feeding effect calibration level corresponding to each combination; it also displays the variety and generation, breeding farm name and growth stage.

[0050] As can be seen from the above embodiments, the present invention divides the pig breeding data into two forms: a tree structure and a chart structure for display. The present invention performs statistics on the feeding effect calibration level of the pig breeding data at each growth stage, and displays the statistical results by a chart structure, so that the user can more intuitively view the number of pig breeding data corresponding to each different feeding effect calibration level, and view the pig breeding data according to the feeding effect calibration level or the number of items, thereby meeting the user's need to view data based on statistical results; in addition, the data structure tree module and the data statistics module of the present invention are also designed to be able to interact with each other by signals, and the two adjust their display content according to the interactive information, simplifying the display content options, so that the user can quickly find the options they need, thereby improving the user's data viewing efficiency;

[0051] The present invention selects the contents displayed on the data structure tree module and the data statistics module individually or in combination, and can view the corresponding specific implementation method under the corresponding category of the corresponding growth stage, and what kind of feeding effect calibration level can be achieved by combining with the various specific implementation methods of other categories under the growth stage; view how the specific implementation methods under the various categories are combined to achieve the feeding effect calibration level at the growth stage; view the corresponding specific implementation method under the corresponding category, and which specific implementation methods of other categories are combined to achieve the feeding effect calibration level at the growth stage; what is viewed are all data that have been statistically analyzed, rather than data in a list form, which greatly improves the user's good experience in viewing data.

[0052] The present invention refines data from multiple aspects, including varieties, generations, breeding farms, growth stages, three categories including feed parameters, environmental parameters and feeding plans, as well as the specific implementation methods of each category, which can meet the user's needs for viewing data to a greater extent.

[0053] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

[0054] It is to be understood that the application is not limited to the precise construction herein disclosed and shown in the drawings, and that various changes can be made to the application without departing from the scope thereof. The scope of the application is only limited by the appended claims.

Claims

1. A pig breeding data management system, characterized in that: include: Data structure tree module, used to display pig breeding data in a tree structure; The data statistics module is used to collect statistics on the feeding effect calibration level of the pig breeding data at each growth stage and display the statistical results in a chart structure; so that the user can select items in the tree structure and / or chart structure to view the required data; The data structure tree module displays the corresponding pig breeding data in the pig breeding database in a tree structure, wherein each pig breeding data in the pig breeding database includes multiple growth stages, each growth stage includes feed parameters, environmental parameters, feeding plan and feeding effect calibration level, and the feed parameters, environmental parameters and feeding plan each include corresponding specific implementation methods. In the tree structure, the growth stage is taken as the first level, the three categories of feed parameters, environmental parameters and feeding plan are taken as the second level, and the specific implementation methods of the feed parameters, environmental parameters and feeding plan are taken as the third level; The data statistics module is based on the corresponding pig breeding data in the pig breeding database, and for each growth stage, counts the number of pig breeding data at different feeding effect calibration levels, obtains the corresponding relationship between the feeding effect calibration level and the number of pig breeding data at the growth stage, and displays the corresponding relationship at each growth stage in a graphical structure; The user selects a corresponding specific implementation method under a corresponding category of a corresponding growth stage in a corresponding tree structure of the data structure tree module to view the corresponding specific implementation method under the corresponding category of the corresponding growth stage, and what kind of feeding effect calibration level can be achieved by combining it with various specific implementation methods of other categories under the growth stage; The user selects the feeding effect calibration level in the chart under the corresponding growth stage of the data statistics module, and selects all categories under the growth stage in the tree structure corresponding to the data structure tree module to view how the specific implementation methods under each category are combined to achieve the feeding effect calibration level at the growth stage; The user selects the feeding effect calibration level in the chart under the corresponding growth stage of the data statistics module, and selects the corresponding specific implementation method under the corresponding category of the growth stage in the corresponding tree structure of the data structure tree module to view the corresponding specific implementation method under the corresponding category and which specific implementation methods of other categories can be combined to achieve the feeding effect calibration level in the growth stage.

2. The pig breeding data management system according to claim 1, characterized in that: The data structure tree module is initially empty, and the data statistics module initially displays various breeds of pigs and various generations of each breed. After the user selects a corresponding generation of a corresponding breed, the data statistics module sends a first selection signal including the breed and generation to the data structure tree module; The data structure tree module selects the names of breeding farms with the breed and generation from the pig breeding database according to the breed and generation in the first selection signal, and displays the selected breeding farm names in a tree structure; After the user selects the corresponding breeding farm name, the data structure tree module filters out the pig breeding data of the breed and generation under the breeding farm from the pig breeding database; displays the filtered pig breeding data in a tree structure; in the tree structure, the growth stage is taken as the first level, the three categories of feed parameters, environmental parameters and feeding plan are taken as the second level, and the specific implementation methods of the feed parameters, environmental parameters and feeding plan are taken as the third level. After the user selects the corresponding breeding farm name, the data structure tree module will also send a second selection signal including the breeding farm name to the data statistics module; the data statistics module will filter out the pig breeding data of the breed and generation under the breeding farm from the pig breeding database according to the breeding farm name in the second selection signal; based on the filtered pig breeding data, for each growth stage, the number of pig breeding data at different feeding effect calibration levels is counted to obtain the corresponding relationship between the feeding effect calibration level and the number of pig breeding data at the growth stage, and the corresponding relationship at each growth stage is displayed in a graphical structure.

3. The pig breeding data management system according to claim 1, characterized in that: When a user wishes to view the pig breeding data corresponding to the feeding effect calibration level at a corresponding growth stage, the user can select the feeding effect calibration level corresponding to the corresponding growth stage from the data statistics module, and then the data statistics module sends a first selection signal including the growth stage and the feeding effect calibration level to the data structure tree module; The data structure tree module selects the pig breeding data of the feeding effect calibration level at the growth stage from the pig breeding data screened last time according to the growth stage and the feeding effect calibration level in the first selection signal, takes the three categories of feed parameters, environmental parameters and feeding plan as the first level, and the specific implementation methods of the feed parameters, environmental parameters and feeding plan as the second level, and displays the pig breeding data screened this time in a tree structure; At this time, if the user wants to view the corresponding specific implementation method under the corresponding category and which specific implementation methods of other categories can be combined to achieve the feeding effect calibration level at the growth stage, the user can select the specific implementation method under the corresponding category from the data structure tree module; thereafter, the data structure tree module sends a second selection signal including the category and the specific implementation method to the data statistics module; the data statistics module filters out the pig breeding data with the specific implementation method under the category from the pig breeding data screened last time, and displays the combination of the specific implementation method under the category and the corresponding specific implementation methods under other categories, and also displays the breed and generation, breeding farm name, growth stage and feeding effect calibration level; At this time, if the user wants to see how the specific implementation methods under each category are combined to achieve the feeding effect calibration level at this growth stage, the user can select all categories from the data structure tree module; the data structure tree module will send a second selection signal including all categories to the data statistics module; the data statistics module displays the combination of specific implementation methods under each category based on the pig breeding data screened last time, and also displays the breed and generation, breeding farm name, growth stage and feeding effect calibration level.

4. The pig breeding data management system according to claim 1, characterized in that: When the user wants to view the specific implementation method corresponding to the category of the corresponding growth stage, and what kind of feeding effect calibration level can be achieved in combination with the various specific implementation methods of other categories under the growth stage, the user may not select the feeding effect calibration level in the data statistics module, but directly select the specific implementation method corresponding to the category of the corresponding growth stage from the data structure tree module; thereafter, the data structure tree module sends a second selection signal including the growth stage, category and specific implementation method to the data statistics module; the data statistics module filters out the pig breeding data with the specific implementation method under the category of the growth stage from the pig breeding data filtered last time, and displays the combination of the specific implementation method under the category of the growth stage and the corresponding specific implementation methods under other categories, and the feeding effect calibration level corresponding to each combination; it also displays the breed and generation, breeding farm name and growth stage.

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