Filtering accumulation compensation pig group weighing method, weighing device, electronic equipment and storage medium

Abstract

The invention discloses a filtering accumulation compensation group pig weighing method, which comprises the following steps: S1, performing high-frequency acquisition and filtering on multi-channel weight data of a single pig to obtain a precise value; s2, performing high-frequency acquisition on multi-channel multi-head pig body weight data, and establishing a body weight scatter database according to the body weight data and sampling time; s3, filtering, stripping and removing oscillation data in the weight scatter database; and S4, loading a compensation function algorithm, correcting errors, and obtaining the weight weighing value of the group of pigs and the average weight of a single pig. According to the invention, multi-channel high-frequency acquisition is realized, accurate large-batch data can be obtained, noise is removed through a filtering algorithm, the obtained weight value is ensured to be accurate and reliable, large deviation of a numerical value is effectively reduced through elimination of oscillation data, a compensation function algorithm is adopted, errors can be further corrected, and the most accurate numerical value can be obtained. Meanwhile, the weight change of the whole swinery can be continuously monitored, so that the feeding environment and feed supply can be better managed.

Description

Technical Field

[0001] The present invention relates to the technical field of group pig weighing, and in particular to a filtering cumulative compensation group pig weighing method, a weighing device, an electronic device and a storage medium. Background Art

[0002] Existing group pig weighing technologies include runway systems plus single scales, aisle scales within pens, automatic sorting scales within pens, camera weighing within pens, and handheld camera weighing. Since the weighing subjects are dynamically moving live pigs, no matter which method is used, the weight of the group of pigs obtained will have a large dynamic error, and environmental changes and nonlinear responses of sensors will also have a great impact on the weighing results. At present, a method that can effectively process weighing data to obtain accurate values ​​has not been proposed in this field. Summary of the invention

[0003] Purpose of the invention: The purpose of the present invention is to provide a high-precision filtering cumulative compensation group pig weighing method that meets the needs of dynamic weighing, so that farmers can.

[0004] Technical solution: A filtering cumulative compensation group pig weighing method of the present invention comprises the following steps:

[0005] S1: Perform high-frequency acquisition and filtering of multi-channel single pig weight data to obtain precise numerical values;

[0006] S2: Collect the weight data of multiple pigs from multiple channels at high frequency, and establish a weight scatter point database based on the weight data and sampling time;

[0007] S3: filtering and removing the oscillating data in the weight scatter point database;

[0008] S4: Load the compensation function algorithm, correct the error, and obtain the weight values ​​of the group of pigs and / or the average weight of a single pig.

[0009] Furthermore, the multi-channels in S1 and / or S2 include a plurality of weighing sensors arranged within the weighing range. S1 and / or S2 use a hanging weighing device for weighing, and the multi-channels include a plurality of pressure sensors and hanging tension sensors arranged around the weighing device.

[0010] Further, the S3 comprises the following steps:

[0011] S31: Divide the weight scatter point database into a positive elimination area, a negative elimination area and a valid data interval;

[0012] S32: Eliminate the data in the positive elimination area and the negative elimination area.

[0013] Further, the S4 comprises the following steps:

[0014] S41:) Divide the valid data interval into three point values ​​of G1, G2, and G3, wherein G1 is the negative deviation extreme value, G2 is the accurate data, G3 is the positive deviation extreme value, G2-G3 is the positive deviation area, G1-G2 is the negative deviation area, the negative compensation area (-△) is 25% of the comprehensive data area of ​​the G2-G3 area, and the positive compensation area (+△) is 25% of the comprehensive data area of ​​the G1-G2 area;

[0015] S42: Calculate the compensation values ​​of negative compensation and positive compensation, compensation value (IT) = maximum compensation value (Tmax) - minimum compensation value (Tmin);

[0016] S43: Calculate the weight value G of the group of pigs. The data collected in the negative compensation area and the positive compensation area do not need to be corrected and are directly included in the calculation.

[0017]

[0018] Furthermore, the S4 further comprises the steps of:

[0019] S44: Average weight of a single pig G',

[0020] A filtering cumulative compensation group pig weighing device of the present invention comprises a fence, a weighing platform, a plurality of weighing sensors, a computing module for carrying out the filtering cumulative compensation group pig weighing method as described above, and a display for displaying the weighing results.

[0021] Furthermore, the weighing sensor includes a plurality of pressure sensors arranged around the weighing platform and a plurality of tension sensors arranged on the fence.

[0022] An electronic device of the present invention includes one or more processors and one or more memories, wherein the one or more memories store at least one program code, and the at least one program code is loaded and executed by the one or more processors to implement the operations performed by the filtering cumulative compensation group pig weighing method as described above.

[0023] A computer-readable storage medium of the present invention is used to store a computer program, and the computer program is used to execute the filtering cumulative compensation group pig weighing method as described above.

[0024] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: (1) The present invention can obtain more accurate large-volume data through multi-channel high-frequency acquisition within a shorter time interval; (2) The present invention removes noise through a filtering algorithm to ensure that the acquired weight value is accurate and reliable; (3) The present invention effectively reduces the large deviation of the numerical value caused by fluctuations caused by pig movement, environmental changes or other factors by eliminating oscillation data; (4) The present invention adopts a compensation function algorithm to further correct errors and obtain the most accurate numerical value; (5) The present invention can continuously monitor the weight changes of the entire pig herd to better manage the breeding environment and feed supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic flow chart of the method of the present invention;

[0026] Figure 2 It is a schematic diagram of the body weight scatter point database of the present invention. DETAILED DESCRIPTION

[0027] The technical solution of the present invention is further described below in conjunction with the accompanying drawings.

[0028] A filtering cumulative compensation group pig weighing method of the present invention, such as Figure 1 As shown, the following steps are included:

[0029] S1: Perform high-frequency acquisition and filtering of multi-channel single pig weight data to obtain precise numerical values.

[0030] S2: Collect the weight data of multiple pigs in multiple channels at high frequency, and establish a weight scatter point database based on the weight data and sampling time, such as Figure 2 shown.

[0031] S3: Filter and remove the oscillating data in the weight scatter point database, specifically:

[0032] S31: By observing the data collection results, the acquisition range is set, and the weight scatter point database is divided into a positive rejection area, a negative rejection area and a valid data interval;

[0033] S32: Eliminate the data in the positive elimination area and the negative elimination area.

[0034] S4: Load the compensation function algorithm, correct the error, obtain the weight value of the group of pigs and / or the average weight of a single pig, specifically:

[0035] S41: Observe the valid data interval, set the acquisition value, and divide the valid data interval into three point values: G1, G2, and G3, wherein G1 is the negative deviation extreme value, G2 is the accurate data, G3 is the positive deviation extreme value, G2-G3 is the positive deviation area, G1-G2 is the negative deviation area, the negative compensation area (-△) is 25% of the comprehensive data area of ​​the G2-G3 area, and the positive compensation area (+△) is 25% of the comprehensive data area of ​​the G1-G2 area;

[0036] S42: Calculate the compensation values ​​of negative compensation and positive compensation, compensation value (IT) = maximum compensation value (Tmax) - minimum compensation value (Tmin);

[0037] S43: Calculate the weight value G of the group of pigs. The data collected in the negative compensation area and the positive compensation area do not need to be corrected and are directly included in the calculation.

[0038]

[0039] The S4 further comprises the steps of:

[0040] S44: Average weight of a single pig G',

[0041] Among them, S1 and / or S2 adopts a suspended weighing device (for example, a group of pig weighing device disclosed in the utility model patent with application number 2024214289374 previously applied for by the applicant) for weighing, and the multi-channel includes a plurality of pressure sensors and suspended tension sensors arranged around the weighing device.

Claims

1. A filtering cumulative compensation group pig weighing method, characterized in that: The following steps are involved: S1: Perform high-frequency acquisition and filtering of multi-channel single pig weight data to obtain precise numerical values; S2: High-frequency acquisition of multi-channel multi-pig weight data, and establishment of a weight scatter point database based on weight data and sampling time; S3: filtering and removing the oscillating data in the weight scatter point database; S4: Load the compensation function algorithm, correct the error, and obtain the weight values ​​of the group of pigs and / or the average weight of a single pig.

2. The filtering cumulative compensation group pig weighing method according to claim 1 is characterized in that: The multi-channels in S1 and / or S2 include a plurality of weighing sensors arranged within a weighing range.

3. The filtering cumulative compensation group pig weighing method according to claim 2 is characterized in that: The S1 and / or S2 are weighed by a suspended weighing device, and the multi-channel includes a plurality of pressure sensors and suspended tension sensors arranged around the weighing device.

4. The filtering cumulative compensation group pig weighing method according to claim 1 is characterized in that: The S3 comprises the following steps: S31: Divide the weight scatter point database into a positive elimination area, a negative elimination area and a valid data interval; S32: Eliminate the data in the positive elimination area and the negative elimination area.

5. The filtering cumulative compensation group pig weighing method according to claim 4 is characterized in that: The S4 comprises the following steps: S41: Divide the valid data interval into three point values ​​of G1, G2, and G3, wherein G1 is the negative deviation extreme value, G2 is the accurate data, G3 is the positive deviation extreme value, G2-G3 is the positive deviation area, G1-G2 is the negative deviation area, the negative compensation area (-△) is 25% of the comprehensive data area of ​​the G2-G3 area, and the positive compensation area (+△) is 25% of the comprehensive data area of ​​the G1-G2 area; S42: Calculate the compensation values ​​of negative compensation and positive compensation, compensation value (IT) = maximum compensation value (Tmax) - minimum compensation value (Tmin); S43: Calculate the weight value G of the group of pigs. The data collected in the negative compensation area and the positive compensation area do not need to be corrected and are directly included in the calculation. The calculation formula is:

6. The filtering cumulative compensation group pig weighing method according to claim 5 is characterized in that: The S4 further comprises the steps of: S44: Average weight of a single pig G', 7. A filtering cumulative compensation group pig weighing device, characterized in that: The invention comprises a fence, a weighing platform, a plurality of weighing sensors, a computing module for carrying out the filtering cumulative compensation group pig weighing method as described in any one of claims 1 to 6, and a display for displaying the weighing results.

8. The filtering cumulative compensation group pig weighing device according to claim 7 is characterized in that: The weighing sensor comprises a plurality of pressure sensors arranged around the weighing platform and a plurality of tension sensors arranged on the fence.

9. An electronic device, characterized in that: The device includes one or more processors and one or more memories, wherein at least one program code is stored in the one or more memories, and the at least one program code is loaded and executed by the one or more processors to implement the operations performed by the filtered cumulative compensation group pig weighing method as described in any one of claims 1-6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and the computer program is used to execute the filtering cumulative compensation group pig weighing method described in any one of claims 1-6.

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