Automatic information acquisition system and method for egg product parameters

Abstract

The invention discloses an automatic information acquisition system and method for egg product parameters, and relates to the technical field of livestock and poultry breeding, and the method comprises the steps: obtaining a first screening analysis parameter and a second screening analysis parameter based on the egg product parameters, and obtaining a first screening judgment value and an internal stagger value; carrying out screening and acquisition processing to obtain a judgment value of the internal parameter; analyzing a sampling information acquisition result, and judging whether secondary sampling investigation is carried out or not; the method is used for solving the problems that in an existing egg product parameter automatic information acquisition method, in the aspect of egg product parameter sampling investigation, a method for judging the validity of data obtained through sampling is lacked, and consequently when the egg cardinal number is large and parameters corresponding to eggs obtained through sampling investigation cannot effectively reflect the overall egg product parameters, the whole egg product parameters cannot be effectively reflected. The problems that information collection is one-sided and data is not accurate enough are solved.

Description

Technical Field

[0001] This invention relates to the field of livestock and poultry breeding technology, specifically to an automated information collection system and method for egg product parameters. Background Technology

[0002] Egg quality parameters typically include egg weight, shell color, egg shape index, specific gravity, shell thickness, yolk color, Haugh units, blood spots, meat spots, and yolk ratio. These parameters collectively determine the quality, freshness, and nutritional value of eggs, and are of great significance for egg grading, storage, and sales. Existing methods for collecting egg quality parameters typically include the Kjeldahl method, Soxhlet extraction, high-performance liquid chromatography, gas chromatography, liquid chromatography, and eggshell strength testing instruments.

[0003] Existing methods for automated data collection of egg quality parameters typically rely on existing methods for collecting egg quality parameters. These methods incorporate the collection of egg quality parameters into the individual hen data collection process, enabling real-time monitoring of multiple production performance parameters. While this approach improves the consistency of parameter collection during the breeding process and increases recording efficiency, it lacks a method for validating the validity of sampled data. This leads to situations where, with a large egg population, the parameters obtained from the sampled eggs may not effectively reflect the overall egg quality, resulting in incomplete and inaccurate data collection. For example, patent application CN105403258A discloses… An automated system for collecting individual parameters of laying hens has been proposed. This system is of particular practical significance because it accurately, stably, and continuously records various parameters in poultry breeding, feed, and nutrition, thereby reducing workload. Other improvements to the automated collection of egg parameters usually involve modifying existing parameter collection methods. However, they still cannot solve the problem of lacking a method to judge the validity of the sampled data in egg parameter sampling surveys. This leads to the problem that when the egg population is large, the parameters of the sampled eggs cannot effectively reflect the overall egg parameters, resulting in one-sided information collection and inaccurate data. Therefore, it is necessary to improve the existing automated information collection methods for egg parameters. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in the prior art by proposing an automated information collection system and method for egg parameters. This addresses the issue that existing automated information collection methods for egg parameters lack a method for judging the validity of sampled data in the sampling survey of egg parameters. As a result, when the number of eggs is large, the parameters corresponding to the eggs obtained from the sampling survey cannot effectively reflect the overall egg parameters, leading to a one-sided information collection and inaccurate data.

[0005] To achieve the above objectives, in a first aspect, this application provides an automated information collection system for egg product parameters, including an egg product parameter analysis module, a screening parameter determination module, and a screening collection module;

[0006] The egg product parameter analysis module is used to analyze the egg product parameters of eggs for which information has been collected, and to obtain the first-screening analysis parameters and the second-screening analysis parameters based on the analysis results; the first-screening analysis parameters and the second-screening analysis parameters are analyzed separately, and the first-screening judgment value and the internal parameter difference value are obtained based on the analysis results;

[0007] The screening parameter determination module performs screening and collection processing on the egg product parameters of the eggs for which information has been collected based on a screening determination value and the difference between internal parameters, and obtains the determination value of each internal parameter based on the results of the screening and collection processing.

[0008] The screening and collection module is used to collect information from eggs that have not been collected, and analyzes the results of the sampling information collection based on the screening judgment value, and determines whether to conduct a second sampling survey based on the analysis results.

[0009] Furthermore, the egg parameter analysis module includes an egg parameter analysis unit, which is configured with an egg parameter analysis strategy. The egg parameter analysis strategy includes:

[0010] Obtain multiple sets of eggs for which data has been collected, and label them as egg group YD1 to egg group YD. n For any collected egg group YD m The collected egg group YD m The eggs sampled in the survey are denoted as sampled eggs, where m is a positive integer less than or equal to n and greater than or equal to 1;

[0011] Obtain the thickness, egg shape index, and egg weight of all sampled eggs, and denote the maximum values ​​of thickness, egg shape index, and egg weight of all sampled eggs as H, D, and Z, respectively. Thickness, egg shape index, and egg weight are denoteed as a sieve analysis parameter.

[0012] Furthermore, egg product parameter analysis strategies also include:

[0013] For any sampled egg: establish a Cartesian coordinate system, denoted as the first-stage sieve analysis coordinate system, where the X-axis and Y-axis of the first-stage sieve analysis coordinate system are constants;

[0014] Construct an equilateral triangle with its vertices all 1 inch away from the origin of the sieve analysis coordinate system, using the origin as its midpoint. Denote this triangle as the sieve analysis shape. Record the thickness, egg shape index, and egg weight of the sampled eggs divided by H, D, and Z as sieve parameters YC1, YC2, and YC3, respectively. Along the lines connecting the three vertices of the sieve analysis shape to the origin, obtain the points that are 1 sieve parameter YC1, YC2, and YC3 inch away from the origin, respectively, and denote them as sieve ratio points YB1, YB2, and YB3, respectively.

[0015] Furthermore, egg product parameter analysis strategies also include:

[0016] The area of ​​the triangle formed by the first sieve proportion point YB1, the first sieve proportion point YB2, and the first sieve proportion point YB3 is denoted as the first sieve analysis value.

[0017] Obtain the first-screen analysis value of all sampled eggs, and record the eggs corresponding to the maximum and minimum values ​​of all first-screen analysis values ​​as first-screen large eggs and first-screen small eggs, respectively; record the difference between the first-screen analysis values ​​of first-screen large eggs and first-screen small eggs as the first-screen judgment value.

[0018] Obtain the first sieve of large eggs, the first sieve of small eggs, and the first sieve judgment value for all collected egg groups.

[0019] Furthermore, egg product parameter analysis strategies also include:

[0020] For any collected egg group: obtain all quantified intrinsic quality parameters from the egg quality parameters of the collected egg group, and denot them as intrinsic parameter NC1 to intrinsic parameter NC1 respectively. q Among them, intrinsic parameters NC1 to NC q These are the parameters for the second screening analysis;

[0021] For any collected egg group: obtain the intrinsic parameters NC1 to NC of one sieve of large eggs and one sieve of small eggs in the collected egg group respectively. q The corresponding value; for any intrinsic parameter NC p The intrinsic parameters NC of a sieve of large eggs p The value minus the intrinsic parameter NC of a sieve of small eggs p The value is denoted as the internal parameter difference NZ. p , where p is a positive integer less than or equal to q and greater than or equal to 1;

[0022] Obtain the internal reference difference values ​​corresponding to all intrinsic parameters, and record them sequentially as the internal reference difference value NZ1 to the internal reference difference value NZ of the collected egg groups. q ;

[0023] Obtain the internal reference difference NZ1 to the internal reference difference NZ for all collected egg groups.q .

[0024] Furthermore, the filtering parameter determination module includes a filtering parameter determination unit, which is configured with a filtering parameter determination strategy, including:

[0025] When there is a group of collected eggs with the same screening judgment value, the group of collected eggs with the same screening judgment difference is screened and collected.

[0026] For any two collected egg groups YD with equal screening criteria... r And the collected egg group YD t The screening and acquisition process includes: for any intrinsic parameter NC p When egg group YD has been collected r The difference in internal parameters NZ p Equal to the collected egg group YD t The difference in internal parameters NZ p At that time, the intrinsic parameter NC p Let be the parameter for determining if they are the same, where r and t are distinct positive integers less than or equal to n and greater than or equal to 1;

[0027] When egg group YD has been collected r The difference in internal parameters NZ p Not equal to collected egg group YD t The difference in internal parameters NZ p At that time, the intrinsic parameter NC p Record the different parameters and assign the collected egg group YD r The difference in internal parameters NZ p Compared with the collected egg group YD t The difference in internal parameters NZ p The closed interval formed is denoted as the intrinsic parameter NC. p The determination interval.

[0028] Furthermore, the parameter selection strategy also includes:

[0029] When all intrinsic parameters are the same, the collected egg group YD r Or egg group YD has been collected t Remove all collected egg groups and set the judgment values ​​of all groups with the same judgment parameter as the corresponding internal reference difference value;

[0030] When any intrinsic parameter is a different parameter, the judgment value for the same parameter is set as the intrinsic parameter difference, and the judgment value for different parameters is set as the judgment interval.

[0031] Furthermore, the filtering and acquisition module includes a filtering and acquisition unit, which is configured with a filtering and acquisition strategy, including:

[0032] When collecting egg quality parameters from eggs for which no information collection has been conducted, the eggs for which egg quality parameters have been collected are recorded as the uncollected egg group; a sampling survey is conducted on the unsampled egg group based on existing sampling survey methods, and the eggs obtained from the sampling survey are recorded as the time-sampling eggs;

[0033] Based on the thickness, egg shape index and egg weight of all eggs drawn at all times, the first sieve of large eggs, the first sieve of small eggs and the first sieve judgment value are obtained for the uncollected egg group, and the first sieve judgment value of the uncollected egg group is recorded as the unscreened judgment value.

[0034] Based on one sieve of large eggs and one sieve of small eggs from the uncollected egg group, obtain the internal reference difference values ​​NZ1 to NZ corresponding to all intrinsic parameters of the uncollected egg group. q .

[0035] Furthermore, the screening and collection strategies also include:

[0036] The egg group whose screening value has the smallest difference from the unscreened value is recorded as the control egg group.

[0037] For any intrinsic parameter NC p When the internal reference difference NZ of the uncollected egg group p The intrinsic parameter NC of the control egg group is equal to that of the control group. p The corresponding judgment value, or the intrinsic parameter NC of the collected egg group. p When the corresponding judgment value is in the range, the intrinsic parameter NC is... p This is denoted as the full filtering parameter;

[0038] When the internal reference difference NZ of the uncollected egg group was not collected p The intrinsic parameter NC of the control egg group is not equal to that of the control egg group. p The corresponding judgment value, or the intrinsic parameter NC of the collected egg group, is not within the range. p When the corresponding judgment value is in the range, the intrinsic parameter NC is... p This is recorded as a parameter that was not fully filtered.

[0039] When all intrinsic parameters are fully screened, information collection and processing continue based on existing information collection methods.

[0040] When there are parameters that are not fully screened, a second sampling survey is conducted on the unsampled egg group based on the existing sampling survey method until all the intrinsic parameters corresponding to the unsampled egg group are fully screened parameters. Then, information collection and processing are continued based on the existing information collection method.

[0041] Secondly, this application also provides an automated method for collecting egg product parameters, including:

[0042] Step S1: Analyze the egg parameters of the eggs for which information has been collected, and obtain the first-screen analysis parameters and the second-screen analysis parameters based on the analysis results; Analyze the first-screen analysis parameters and the second-screen analysis parameters respectively, and obtain the first-screen judgment value and the internal reference difference value based on the analysis results;

[0043] Step S2: Based on the screening judgment value and the internal parameter difference, the egg product parameters of the eggs for which information has been collected are screened and collected, and the judgment value of each internal parameter is obtained based on the results of the screening and collection process.

[0044] Step S3: Collect information from eggs that have not been collected, analyze the results of the sampling based on the first screening judgment value, and determine whether to conduct a second sampling survey based on the analysis results.

[0045] The beneficial effects of this invention are as follows: This application first analyzes the egg parameters of eggs whose information has been collected, and obtains first-screening and second-screening analysis parameters based on the analysis results; the first-screening and second-screening analysis parameters are analyzed separately, and the first-screening judgment value and internal reference difference value are obtained based on the analysis results. The advantage of this is that by obtaining the first-screening judgment value and internal reference difference value based on the first-screening and second-screening analysis parameters, a control egg group can be obtained based on the first-screening judgment value after sampling information collection of the uncollected egg group in subsequent analysis. This is to determine whether the sampling survey of the uncollected egg group is effective. At the same time, when determining whether the sampling survey of the uncollected egg group is effective, the judgment result can also be obtained through the internal reference difference value. Thus, when the egg parameters obtained from the sampling survey cannot effectively reflect the overall egg parameters, a second sampling survey can be carried out in a timely manner to ensure more comprehensive information collection and more accurate data.

[0046] This application also performs screening and collection processing on egg parameters of eggs for which information has been collected, based on the screening judgment value and the internal parameter difference value, and obtains the judgment value of each internal parameter based on the screening and collection processing results; finally, it performs sampling information collection on eggs for which no information has been collected, and analyzes the sampling information collection results based on the screening judgment value, and determines whether to conduct a second sampling survey based on the analysis results. The advantage of this is that by obtaining the judgment value of each internal parameter based on the screening and collection processing, it is helpful to integrate the data and improve the efficiency of analyzing the sampling information collection results based on the screening judgment value. Thus, after obtaining the data corresponding to the sampling information collection, it is possible to quickly respond to whether to carry out a second sampling survey, and improve the efficiency of collecting egg parameters for the uncollected egg group. Attached Figure Description

[0047] Figure 1 This is a flowchart illustrating the steps of the method of the present invention;

[0048] Figure 2 This is a schematic diagram of the system of the present invention;

[0049] Figure 3 This is a schematic diagram illustrating the acquisition of a screening analysis value according to the present invention. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] Example 1, please refer to Figure 1 As shown, this application provides an automated information collection method for egg product parameters, including:

[0052] Step S1: Analyze the egg parameters of the eggs for which information has been collected, and obtain the first-screen analysis parameters and the second-screen analysis parameters based on the analysis results; Analyze the first-screen analysis parameters and the second-screen analysis parameters respectively, and obtain the first-screen judgment value and the internal reference difference value based on the analysis results;

[0053] Step S1 includes the following sub-steps:

[0054] Step S101: Obtain multiple groups of eggs for which data has been collected, and record them as egg group YD1 to egg group YD1 respectively. n For any collected egg group YD m The collected egg group YD m The eggs sampled in the survey are denoted as sampled eggs, where m is a positive integer less than or equal to n and greater than or equal to 1;

[0055] In the specific implementation process, we should try to keep the number of eggs in each collected egg group and the corresponding number of sampled eggs consistent, so as to ensure that when the sampled eggs reflect the collected egg group, the variable corresponding to the quantity is the same, and to prevent the problem of large differences in data analysis caused by a large number of sampled eggs reflecting a small number of collected egg groups, or a small number of sampled eggs reflecting a large number of collected egg groups.

[0056] Step S102: Obtain the thickness, egg shape index and egg weight of all sampled eggs, and record the maximum thickness, maximum egg shape index and maximum egg weight of all sampled eggs as H, D and Z respectively. Among them, the thickness, egg shape index and egg weight are recorded as a sieve analysis parameter.

[0057] Step S103: For any sampled egg: Establish a Cartesian coordinate system, denoted as the first sieve analysis coordinate system, where the X-axis and Y-axis of the first sieve analysis coordinate system are constants;

[0058] Step S104: Construct an equilateral triangle with each vertex 1 inch away from the origin of the sieve analysis coordinate system, using the origin as the midpoint. Record this triangle as the sieve analysis shape. Divide the thickness, egg shape index, and egg weight of the sampled eggs by H, D, and Z respectively, and record these values ​​as sieve parameters YC1, YC2, and YC3. In the lines connecting the three vertices of the sieve analysis shape to the origin, obtain the points 1 inch away from the origin, YC1, YC2, and YC3 respectively, and record them as sieve ratio points YB1, YB2, and YB3 respectively.

[0059] In the specific implementation process, for example, during a data analysis, the resulting screening analysis takes the form of... Figure 3 As shown in YF, the first sieve ratio points YB1, YB2, and YB3 obtained through analysis are points YB1, YB2, and YB3, respectively. Therefore, through analysis, it can be found that the area of ​​triangle YZ is the first sieve analysis value.

[0060] Step S105: The area of ​​the triangle formed by the first sieve proportion point YB1, the first sieve proportion point YB2 and the first sieve proportion point YB3 is recorded as the first sieve analysis value.

[0061] Step S106: Obtain the first-screen analysis value of all sampled eggs, and record the eggs corresponding to the maximum and minimum values ​​among all the first-screen analysis values ​​as first-screen large eggs and first-screen small eggs, respectively; record the difference between the first-screen analysis values ​​of first-screen large eggs and first-screen small eggs as the first-screen judgment value.

[0062] In the specific implementation process, by obtaining a screening analysis value and further obtaining a screening judgment value, it is possible to obtain a control egg group based on the screening judgment value after sampling information is collected from the uncollected egg group in subsequent analysis, so as to determine whether the sampling survey of the uncollected egg group is effective.

[0063] Step S107: Obtain the first sieve of large eggs, the first sieve of small eggs, and the first sieve judgment value for all collected egg groups;

[0064] Step S108: For any collected egg group: Obtain all quantified intrinsic quality parameters from the egg quality parameters of the collected egg group, and record them as intrinsic parameter NC1 to intrinsic parameter NC1 respectively. q Among them, intrinsic parameters NC1 to NC q These are the parameters for the second screening analysis;

[0065] In the specific implementation process, during actual analysis, the intrinsic quality parameters can be determined according to the data type of egg parameters that the actual data acquisition equipment can collect. In this embodiment, the intrinsic quality parameters are air cell height, Haugh unit, yolk index, and yolk color.

[0066] Step S109, for any collected egg group: obtain the intrinsic parameters NC1 to NC of a sieve of large eggs and a sieve of small eggs in the collected egg group respectively. q The corresponding value; for any intrinsic parameter NC p The intrinsic parameters NC of a sieve of large eggs p The value minus the intrinsic parameter NC of a sieve of small eggs p The value is denoted as the internal parameter difference NZ. p , where p is a positive integer less than or equal to q and greater than or equal to 1;

[0067] In a data analysis, such as the internal sieve parameter NC p The air cell height is used to obtain the inner sieve parameter NC for a large egg. p The corresponding value is 3.2mm, which is the inner sieve parameter NC for a sieve of small eggs. p The corresponding value is 4.0 mm, then the internal reference difference value is NZ. p It is 0.8mm;

[0068] Step S110: Obtain the internal reference difference values ​​corresponding to all intrinsic parameters, and record them sequentially as the internal reference difference value NZ1 to the internal reference difference value NZ of the collected egg group. q ;

[0069] Step S111: Obtain the internal reference difference NZ1 to the internal reference difference NZ for all collected egg groups. q .

[0070] Step S2: Based on the screening judgment value and the internal parameter difference, the egg product parameters of the eggs for which information has been collected are screened and collected, and the judgment value of each internal parameter is obtained based on the results of the screening and collection process.

[0071] Step S2 includes the following sub-steps:

[0072] Step S201: When there is a group of collected eggs with the same screening judgment value, the group of collected eggs with the same screening judgment difference is screened and collected.

[0073] Step S202: For any two collected egg groups YD with equal screening judgment values... r And the collected egg group YD t The screening and acquisition process includes: for any intrinsic parameter NC p When egg group YD has been collected r The difference in internal parameters NZp Equal to the collected egg group YD t The difference in internal parameters NZ p At that time, the intrinsic parameter NC p Let be the parameter for determining if they are the same, where r and t are distinct positive integers less than or equal to n and greater than or equal to 1;

[0074] Step S203, when egg group YD has been collected r The difference in internal parameters NZ p Not equal to collected egg group YD t The difference in internal parameters NZ p At that time, the intrinsic parameter NC p Record the different parameters and assign the collected egg group YD r The difference in internal parameters NZ p Compared with the collected egg group YD t The difference in internal parameters NZ p The closed interval formed is denoted as the intrinsic parameter NC. p The judgment interval;

[0075] In the specific implementation process, for example, during a data analysis, the air cell height is recorded as a different parameter for judgment, and there are two egg groups with air cell height differences of 0.8mm and 1mm, respectively. Then, the judgment range of air cell height can be set to [0.8mm, 1mm]. By obtaining the judgment value of each intrinsic parameter, it is helpful to integrate the existing data and improve the efficiency of analyzing the results of sampling information collection based on the first screening judgment value. Thus, after obtaining the data corresponding to the sampling information collection, a quick response can be made to whether to carry out a second sampling survey, thereby improving the efficiency of collecting egg parameters for uncollected egg groups.

[0076] Step S204: When all intrinsic parameters are the same as the judgment parameters, the collected egg group YD is... r Or egg group YD has been collected t Remove all collected egg groups and set the judgment values ​​of all groups with the same judgment parameter as the corresponding internal reference difference value;

[0077] In this embodiment, the determination value of the intrinsic parameter only includes the difference of the intrinsic parameter or the determination range;

[0078] Step S205: When any intrinsic parameter is a different parameter, the judgment value of the same parameter is set as the intrinsic parameter difference value, and the judgment value of different parameters is set as the judgment interval.

[0079] Step S3: Collect information from eggs that have not been collected, analyze the results of the sampling based on the first screening judgment value, and determine whether to conduct a second sampling survey based on the analysis results.

[0080] Step S3 includes the following sub-steps:

[0081] Step S301: When collecting egg quality parameters for eggs that have not undergone information collection, the eggs for which egg quality parameters have been collected are recorded as the uncollected egg group; a sampling survey is conducted on the unsampled egg group based on existing sampling survey methods, and the eggs obtained from the sampling survey are recorded as the eggs sampled at the time.

[0082] Step S302: Based on the thickness, egg shape index and egg weight of all eggs drawn at all times, obtain the first sieve of large eggs, the first sieve of small eggs and the first sieve judgment value corresponding to the uncollected egg group, and record the first sieve judgment value of the uncollected egg group as the unscreened judgment value.

[0083] Step S303: Based on one sieve of large eggs and one sieve of small eggs from the uncollected egg group, obtain the internal reference difference values ​​NZ1 to NZ corresponding to all intrinsic parameters of the uncollected egg group. q ;

[0084] Step S304: The collected egg group corresponding to the screening judgment value with the smallest difference from the unscreened judgment value is recorded as the control egg group;

[0085] In the specific implementation process, for example, in a data analysis, the unscreened judgment value is 0.5, and the corresponding first-screen judgment values ​​for all collected egg groups are 0.6, 0.34, 0.67, 0.77, 0.3, and 0.9, respectively. Through analysis, it can be found that the difference between 0.6 and the unscreened judgment value is the smallest, indicating that among all collected egg groups, the eggs in the collected egg group with a first-screen judgment value of 0.6 are most similar to the eggs in the uncollected egg group. The collected egg group with a first-screen judgment value of 0.6 can be recorded as the control egg group and further analysis can be carried out.

[0086] Step S305, for any intrinsic parameter NC p When the internal reference difference NZ of the uncollected egg group p The intrinsic parameter NC of the control egg group is equal to that of the control group. p The corresponding judgment value, or the intrinsic parameter NC of the collected egg group. p When the corresponding judgment value is in the range, the intrinsic parameter NC is... p This is denoted as the full filtering parameter;

[0087] Step S306, when the internal reference difference NZ of the uncollected egg group is... p The intrinsic parameter NC of the control egg group is not equal to that of the control egg group. p The corresponding judgment value, or the intrinsic parameter NC of the collected egg group, is not within the range. p When the corresponding judgment value is in the range, the intrinsic parameter NC is... p This is recorded as a parameter that was not fully filtered.

[0088] In the specific implementation process, for example, during a data analysis, the intrinsic parameter NC of the uncollected egg group was obtained. p The difference in internal parameters NZ p The intrinsic parameter NC of the control egg group was 0.7 mm. p The judgment value is [0.8mm, 1mm]; through analysis, the internal reference difference NZ of the uncollected egg group can be obtained. p Not in the intrinsic parameter NC of the collected egg group p The corresponding range of judgment values ​​indicates that there are abnormalities in the intrinsic parameters of the uncollected egg group, and there is a risk of insufficient data collection. Therefore, a second sampling survey should be carried out to ensure more comprehensive data collection for the uncollected egg group.

[0089] Step S307: When all intrinsic parameters are fully screened parameters, continue information collection and processing based on the existing information collection method;

[0090] Step S308: When there are parameters that are not fully screened, a second sampling survey is conducted on the unsampled egg group based on the existing sampling survey method until all the intrinsic parameters corresponding to the uncollected egg group are fully screened parameters. Then, information collection and processing are continued based on the existing information collection method.

[0091] Example 2, please refer to Figure 2 As shown, this application also provides an automated information collection system for egg product parameters, including an egg product parameter analysis module, a screening parameter determination module, and a screening collection module;

[0092] The egg product parameter analysis module is used to analyze the egg product parameters of eggs for which information has been collected, and to obtain the first-screening analysis parameters and the second-screening analysis parameters based on the analysis results; the first-screening analysis parameters and the second-screening analysis parameters are analyzed separately, and the first-screening judgment value and the internal parameter difference value are obtained based on the analysis results;

[0093] The egg product parameter analysis module includes an egg product parameter analysis unit, which is configured with egg product parameter analysis strategies. These strategies include:

[0094] Obtain multiple sets of eggs for which data has been collected, and label them as egg group YD1 to egg group YD. n For any collected egg group YD m The collected egg group YD m The eggs sampled in the survey are denoted as sampled eggs, where m is a positive integer less than or equal to n and greater than or equal to 1;

[0095] Obtain the thickness, egg shape index, and egg weight of all sampled eggs, and denote the maximum thickness, maximum egg shape index, and maximum egg weight of all sampled eggs as H, D, and Z, respectively. Thickness, egg shape index, and egg weight are denoteed as a sieve analysis parameter.

[0096] For any sampled egg: establish a Cartesian coordinate system, denoted as the first-stage sieve analysis coordinate system, where the X-axis and Y-axis of the first-stage sieve analysis coordinate system are constants;

[0097] Construct an equilateral triangle with each vertex 1 equilateral to the origin of the sieve analysis coordinate system, denoted as the sieve analysis shape. Denote the thickness, egg shape index, and egg weight of the sampled eggs divided by H, D, and Z as sieve parameters YC1, YC2, and YC3, respectively. In the lines connecting the three vertices of the sieve analysis shape to the origin, obtain points equilateral to the origin with distances of sieve parameters YC1, YC2, and YC3, respectively, and denote them as sieve ratio points YB1, YB2, and YB3, respectively.

[0098] The area of ​​the triangle formed by the first sieve proportion point YB1, the first sieve proportion point YB2, and the first sieve proportion point YB3 is denoted as the first sieve analysis value.

[0099] Obtain the first-screen analysis value of all sampled eggs, and record the eggs corresponding to the maximum and minimum values ​​of all first-screen analysis values ​​as first-screen large eggs and first-screen small eggs, respectively; record the difference between the first-screen analysis values ​​of first-screen large eggs and first-screen small eggs as the first-screen judgment value.

[0100] Obtain the first sieve of large eggs, the first sieve of small eggs, and the first sieve judgment value for all collected egg groups;

[0101] For any collected egg group: obtain all quantified intrinsic quality parameters from the egg quality parameters of the collected egg group, and denot them as intrinsic parameter NC1 to intrinsic parameter NC1 respectively. q Among them, intrinsic parameters NC1 to NC q These are the parameters for the second screening analysis;

[0102] For any collected egg group: obtain the intrinsic parameters NC1 to NC of one sieve of large eggs and one sieve of small eggs in the collected egg group respectively. q The corresponding value; for any intrinsic parameter NC p The intrinsic parameters NC of a sieve of large eggs p The value minus the intrinsic parameter NC of a sieve of small eggs p The value is denoted as the internal parameter difference NZ. p , where p is a positive integer less than or equal to q and greater than or equal to 1;

[0103] Obtain the internal reference difference values ​​corresponding to all intrinsic parameters, and record them sequentially as the internal reference difference value NZ1 to the internal reference difference value NZ of the collected egg groups. q ;

[0104] Obtain the internal reference difference NZ1 to the internal reference difference NZ for all collected egg groups. q .

[0105] The screening parameter determination module performs screening and collection processing on the egg product parameters of the eggs for which information has been collected based on a screening determination value and the difference between internal parameters, and obtains the determination value of each internal parameter based on the results of the screening and collection processing.

[0106] The filtering parameter determination module includes a filtering parameter determination unit, which is configured with a filtering parameter determination strategy. The filtering parameter determination strategy includes:

[0107] When there is a group of collected eggs with the same screening judgment value, the group of collected eggs with the same screening judgment difference is screened and collected.

[0108] For any two collected egg groups YD with equal screening criteria... r And the collected egg group YD t The screening and acquisition process includes: for any intrinsic parameter NC p When egg group YD has been collected r The difference in internal parameters NZ p Equal to the collected egg group YD t The difference in internal parameters NZ p At that time, the intrinsic parameter NC p Let be the parameter for determining if they are the same, where r and t are distinct positive integers less than or equal to n and greater than or equal to 1;

[0109] When egg group YD has been collected r The difference in internal parameters NZ p Not equal to collected egg group YD t The difference in internal parameters NZ p At that time, the intrinsic parameter NC p Record the different parameters and assign the collected egg group YD r The difference in internal parameters NZ p Compared with the collected egg group YD t The difference in internal parameters NZ p The closed interval formed is denoted as the intrinsic parameter NC. p The judgment interval;

[0110] When all intrinsic parameters are the same, the collected egg group YD r Or egg group YD has been collected t Remove all collected egg groups and set the judgment values ​​of all groups with the same judgment parameter as the corresponding internal reference difference value;

[0111] When any intrinsic parameter is a different parameter, the judgment value for the same parameter is set as the intrinsic parameter difference, and the judgment value for different parameters is set as the judgment interval.

[0112] The screening and collection module is used to collect information from eggs that have not been collected, and to analyze the results of the sampling information collection based on the screening judgment value, and to determine whether to conduct a second sampling survey based on the analysis results.

[0113] The filtering and acquisition module includes a filtering and acquisition unit, which is configured with a filtering and acquisition strategy. The filtering and acquisition strategy includes:

[0114] When collecting egg quality parameters from eggs for which no information collection has been conducted, the eggs for which egg quality parameters have been collected are recorded as the uncollected egg group; a sampling survey is conducted on the unsampled egg group based on existing sampling survey methods, and the eggs obtained from the sampling survey are recorded as the time-sampling eggs;

[0115] Based on the thickness, egg shape index and egg weight of all eggs drawn at all times, the first sieve of large eggs, the first sieve of small eggs and the first sieve judgment value are obtained for the uncollected egg group, and the first sieve judgment value of the uncollected egg group is recorded as the unscreened judgment value.

[0116] Based on one sieve of large eggs and one sieve of small eggs from the uncollected egg group, obtain the internal reference difference values ​​NZ1 to NZ corresponding to all intrinsic parameters of the uncollected egg group. q ;

[0117] The egg group whose screening value has the smallest difference from the unscreened value is recorded as the control egg group.

[0118] For any intrinsic parameter NC p When the internal reference difference NZ of the uncollected egg group p The intrinsic parameter NC of the control egg group is equal to that of the control group. p The corresponding judgment value, or the intrinsic parameter NC of the collected egg group. p When the corresponding judgment value is in the range, the intrinsic parameter NC is... p This is denoted as the full filtering parameter;

[0119] When the internal reference difference NZ of the uncollected egg group was not collected p The intrinsic parameter NC of the control egg group is not equal to that of the control egg group. p The corresponding judgment value, or the intrinsic parameter NC of the collected egg group, is not within the range. p When the corresponding judgment value is in the range, the intrinsic parameter NC is... p This is recorded as a parameter that was not fully filtered.

[0120] When all intrinsic parameters are fully screened, information collection and processing continue based on existing information collection methods.

[0121] When there are parameters that are not fully screened, a second sampling survey is conducted on the unsampled egg group based on the existing sampling survey method until all the intrinsic parameters corresponding to the unsampled egg group are fully screened parameters. Then, information collection and processing are continued based on the existing information collection method.

[0122] Working principle: First, the egg quality parameters of eggs for which information has been collected are analyzed, and first-screening and second-screening parameters are obtained based on the analysis results. The first-screening and second-screening parameters are then analyzed separately, and the first-screening judgment value and internal reference difference value are obtained based on the analysis results. Next, based on the first-screening judgment value and internal reference difference value, the egg quality parameters of the eggs for which information has been collected are screened and collected, and the judgment value of each intrinsic parameter is obtained based on the results of the screening and collection process. Finally, sampling information is collected from eggs for which information has not been collected, and the results of the sampling information collection are analyzed based on the first-screening judgment value. Based on the analysis results, it is determined whether a second sampling survey should be conducted.

[0123] Based on the above description of the embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the technical solutions described above, or the parts that contribute to the prior art, can be embodied in the form of software products. These computer software products can be stored in computer-readable storage media, such as ROM / RAM, magnetic disks, optical disks, etc., and include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0124] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces. The indirect coupling or communication connection between systems, modules, and units may be electrical, mechanical, or other forms.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. An automated information collection system for egg product parameters, characterized in that, It includes an egg product parameter analysis module, a screening parameter determination module, and a screening data collection module; The egg product parameter analysis module is used to analyze the egg product parameters of eggs for which information has been collected, and to obtain the first-screen analysis parameters and the second-screen analysis parameters based on the analysis results. The parameters for the first and second screening analyses were analyzed separately, and the first screening judgment value and the internal reference difference value were obtained based on the analysis results. The screening parameter determination module performs screening and collection processing on the egg product parameters of the eggs for which information has been collected based on a screening determination value and the difference between internal parameters, and obtains the determination value of each internal parameter based on the results of the screening and collection processing. The screening and collection module is used to collect information from eggs that have not been collected, and analyzes the results of the sampling information collection based on the screening judgment value, and determines whether to conduct a second sampling survey based on the analysis results.

2. The automated information collection system for egg product parameters according to claim 1, characterized in that, The egg product parameter analysis module includes an egg product parameter analysis unit, which is configured with egg product parameter analysis strategies. These strategies include: Obtain multiple sets of eggs for which data has been collected, and label them as egg group YD1 to egg group YD. n For any collected egg group YD m The collected egg group YD m The eggs sampled in the survey are denoted as sampled eggs, where m is a positive integer less than or equal to n and greater than or equal to 1; Obtain the thickness, egg shape index, and egg weight of all sampled eggs, and denote the maximum values ​​of thickness, egg shape index, and egg weight of all sampled eggs as H, D, and Z, respectively. Thickness, egg shape index, and egg weight are denoteed as a sieve analysis parameter.

3. The automated information acquisition system for egg product parameters according to claim 2, characterized in that, Egg product parameter analysis strategies also include: For any sampled egg: establish a Cartesian coordinate system, denoted as the first-stage sieve analysis coordinate system, where the X-axis and Y-axis of the first-stage sieve analysis coordinate system are constants; Construct an equilateral triangle with its vertices all 1 inch away from the origin of the sieve analysis coordinate system, using the origin as its midpoint. Denote this triangle as the sieve analysis shape. Record the thickness, egg shape index, and egg weight of the sampled eggs divided by H, D, and Z as sieve parameters YC1, YC2, and YC3, respectively. Along the lines connecting the three vertices of the sieve analysis shape to the origin, obtain the points that are 1 sieve parameter YC1, YC2, and YC3 inch away from the origin, respectively, and denote them as sieve ratio points YB1, YB2, and YB3, respectively.

4. The automated information acquisition system for egg product parameters according to claim 3, characterized in that, Egg product parameter analysis strategies also include: The area of ​​the triangle formed by the first sieve proportion point YB1, the first sieve proportion point YB2, and the first sieve proportion point YB3 is denoted as the first sieve analysis value. Obtain the first-screen analysis value of all sampled eggs, and record the eggs corresponding to the maximum and minimum values ​​of all first-screen analysis values ​​as first-screen large eggs and first-screen small eggs, respectively; record the difference between the first-screen analysis values ​​of first-screen large eggs and first-screen small eggs as the first-screen judgment value. Obtain the first sieve of large eggs, the first sieve of small eggs, and the first sieve judgment value for all collected egg groups.

5. The automated information acquisition system for egg product parameters according to claim 4, characterized in that, Egg product parameter analysis strategies also include: For any collected egg group: obtain all quantified intrinsic quality parameters from the egg quality parameters of the collected egg group, and denot them as intrinsic parameter NC1 to intrinsic parameter NC1 respectively. q Among them, intrinsic parameters NC1 to NC q These are the parameters for the second screening analysis; For any collected egg group: obtain the intrinsic parameters NC1 to NC of one sieve of large eggs and one sieve of small eggs in the collected egg group respectively. q The corresponding value; for any intrinsic parameter NC p The intrinsic parameters NC of a sieve of large eggs p The value minus the intrinsic parameter NC of a sieve of small eggs p The value is denoted as the internal parameter difference NZ. p , where p is a positive integer less than or equal to q and greater than or equal to 1; Obtain the internal reference difference values ​​corresponding to all intrinsic parameters, and record them sequentially as the internal reference difference value NZ1 to the internal reference difference value NZ of the collected egg groups. q ; Obtain the internal reference difference NZ1 to the internal reference difference NZ for all collected egg groups. q .

6. The automated information acquisition system for egg product parameters according to claim 5, characterized in that, The filtering parameter determination module includes a filtering parameter determination unit, which is configured with a filtering parameter determination strategy. The filtering parameter determination strategy includes: When there is a group of collected eggs with the same screening judgment value, the group of collected eggs with the same screening judgment difference is screened and collected. For any two collected egg groups YD with equal screening criteria... r And the collected egg group YD t The screening and acquisition process includes: for any intrinsic parameter NC p When egg group YD has been collected r The difference in internal parameters NZ p Equal to collected egg group YD t The difference in internal parameters NZ p At that time, the intrinsic parameter NC p Let be the parameter for determining if they are the same, where r and t are distinct positive integers less than or equal to n and greater than or equal to 1; When egg group YD has been collected r The difference in internal parameters NZ p Not equal to collected egg group YD t The difference in internal parameters NZ p At that time, the intrinsic parameter NC p Record the different parameters and assign the collected egg group YD r The difference in internal parameters NZ p Compared with the collected egg group YD t The difference in internal parameters NZ p The closed interval formed is denoted as the intrinsic parameter NC. p The determination interval.

7. The automated information acquisition system for egg product parameters according to claim 6, characterized in that, The parameter selection strategy also includes: When all intrinsic parameters are the same, the collected egg group YD r Or egg group YD has been collected t Remove all collected egg groups and set the judgment values ​​of all groups with the same judgment parameter as the corresponding internal reference difference value; When any intrinsic parameter is a different parameter, the judgment value for the same parameter is set as the intrinsic parameter difference, and the judgment value for different parameters is set as the judgment interval.

8. The automated information acquisition system for egg product parameters according to claim 7, characterized in that, The filtering and acquisition module includes a filtering and acquisition unit, which is configured with a filtering and acquisition strategy. The filtering and acquisition strategy includes: When collecting egg quality parameters from eggs for which no information collection has been conducted, the eggs for which egg quality parameters have been collected are recorded as the uncollected egg group; a sampling survey is conducted on the unsampled egg group based on existing sampling survey methods, and the eggs obtained from the sampling survey are recorded as the time-sampling eggs; Based on the thickness, egg shape index and egg weight of all eggs drawn at all times, obtain the first sieve of large eggs, the first sieve of small eggs and the first sieve judgment value for the uncollected egg group, and record the first sieve judgment value of the uncollected egg group as the unscreened judgment value. Based on one sieve of large eggs and one sieve of small eggs from the uncollected egg group, obtain the internal reference difference values ​​NZ1 to NZ corresponding to all intrinsic parameters of the uncollected egg group. q .

9. The automated information acquisition system for egg product parameters according to claim 8, characterized in that, The screening and collection strategies also include: The egg group whose screening value has the smallest difference from the unscreened value is recorded as the control egg group. For any intrinsic parameter NC p When the internal reference difference NZ of the uncollected egg group p The intrinsic parameter NC of the control egg group is equal to that of the control group. p The corresponding judgment value, or the intrinsic parameter NC of the collected egg group. p When the corresponding judgment value is in the range, the intrinsic parameter NC is... p This is denoted as the full filtering parameter; When the internal reference difference NZ of the uncollected egg group was not collected p The intrinsic parameter NC of the control egg group is not equal to that of the control egg group. p The corresponding judgment value, or the intrinsic parameter NC of the collected egg group, is not within the range. p When the corresponding judgment value is in the range, the intrinsic parameter NC is... p This is recorded as a parameter that was not fully filtered. When all intrinsic parameters are fully screened, information collection and processing continue based on existing information collection methods. When there are parameters that are not fully screened, a second sampling survey is conducted on the unsampled egg group based on the existing sampling survey method until all the intrinsic parameters corresponding to the unsampled egg group are fully screened parameters. Then, information collection and processing are continued based on the existing information collection method.

10. An automated information collection method for egg product parameters, used to implement the automated information collection system for egg product parameters as described in any one of claims 1-9, characterized in that, include: Step S1: Analyze the egg quality parameters of the eggs for which information has been collected, and obtain the first-screen analysis parameters and the second-screen analysis parameters based on the analysis results. The parameters for the first and second screening analyses were analyzed separately, and the first screening judgment value and the internal reference difference value were obtained based on the analysis results. Step S2: Based on the screening judgment value and the internal parameter difference, the egg product parameters of the eggs for which information has been collected are screened and collected, and the judgment value of each internal parameter is obtained based on the results of the screening and collection process. Step S3: Collect information from eggs that have not been collected, analyze the results of the sampling based on the first screening judgment value, and determine whether to conduct a second sampling survey based on the analysis results.

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