CN-122016785-A - Fruit and vegetable pesticide residue detection system utilizing artificial intelligence algorithm
Abstract
The invention discloses a fruit and vegetable pesticide residue detection system utilizing an artificial intelligence algorithm, which belongs to the technical field of pesticide residue detection and comprises a first frame body and a reaction test chamber mechanism, wherein a first transmission mechanism is rotatably connected to the first frame body, and the first transmission mechanism comprises a first gear rotatably connected with the first frame body. The invention realizes automatic film removing, unreeling, cutting, testing and displaying of test paper by the arrangement of the transmission mechanism, the reeling mechanism, the unreeling mechanism, the conveying mechanism, the color paper roll conveying mechanism, the cylinder mechanism and the like, reduces the operation flow of personnel and improves the convenience of detection.
Inventors
- YU HENGLIN
Assignees
- 南京市产品质量监督检验院(南京市质量发展与先进技术应用研究院)
Dates
- Publication Date
- 20260512
- Application Date
- 20260105
Claims (10)
- 1. The fruit and vegetable pesticide residue detection system utilizing the artificial intelligence algorithm comprises a first frame body (1) and a reaction test chamber mechanism (13), and is characterized in that a first transmission mechanism (2) is rotatably connected to the first frame body (1), the first transmission mechanism (2) comprises a first gear (201) rotatably connected with the first frame body (1), a first belt wheel (202) is coaxially fixed to the top of the first gear (201), a first synchronous belt (203) is arranged on the outer meshing of the first belt wheel (202) in a meshed mode, a second gear (204) is arranged on one side of the first gear (201) in a meshed mode, the second gear (204) is rotatably connected with the first frame body (1), a second belt wheel (205) is coaxially fixed to the top of the second gear (204), a second synchronous belt (206) is arranged on the outer meshing of the second belt wheel (205), a second transmission mechanism (3) and a third transmission mechanism (4) are rotatably connected to the first frame body (1), and a second frame body (5) is fixed to the top of the first frame body (1); The automatic color development machine is characterized in that a winding mechanism (6) is rotationally connected to the second frame body (5), an unwinding mechanism (7) is rotationally connected to the second frame body (5), the unwinding mechanism (7) comprises an unwinding assembly (701), a test paper roll (702) is fixed to the top end of the unwinding assembly (701), a conveying mechanism (8) is fixed to one end of the first frame body (1), a color development paper roll conveying mechanism (9) is arranged on the second frame body (5), a base mechanism (10) is fixed to one end of the first frame body (1), and a first cylinder mechanism (11) and a second cylinder mechanism (12) are mounted on the base mechanism (10); The top of transport mechanism (8) is fixed with reaction test room mechanism (13), reaction test room mechanism (13) include casing (1301), the outside of casing (1301) is fixed with industrial computer (1302), still inlay on casing (1301) and be fixed with small-size air conditioner (1303), the one end sliding connection of casing (1301) has electric lift door (1304), the inboard of reaction test room mechanism (13) is fixed with shooting mechanism (14), shooting mechanism (14) are including being fixed in inside mounting plate (1401) of casing (1301), be fixed with wide colour gamut camera (1402) and light filling lamp (1403) on mounting plate (1401), the top of reaction test room mechanism (13) is fixed with draws spraying mechanism (15), swivelling joint has guide roll (16) on second support body (5).
- 2. The fruit and vegetable pesticide residue detection system utilizing the artificial intelligence algorithm according to claim 1, wherein the second transmission mechanism (3) and the third transmission mechanism (4) have the same structure as the first transmission mechanism (2).
- 3. The fruit and vegetable pesticide residue detection system using an artificial intelligence algorithm according to claim 1, wherein the winding mechanism (6) comprises a winding motor (601) fixed on the first frame body (1), a rotating shaft (602) is fixed at an output end of the winding motor (601), a third synchronous pulley (603) is fixed outside the rotating shaft (602), the third synchronous pulley (603) is meshed with the first synchronous belt (203), a winding roller (604) is fixed at a top end of the rotating shaft (602), and a protective film roll (605) is fixed outside the winding roller (604).
- 4. The fruit and vegetable pesticide residue detection system using an artificial intelligence algorithm according to claim 1, wherein the structure of the unreeling mechanism (7) is the same as that of the reeling mechanism (6), one side of the test paper roll (702) is provided with a plurality of enzyme reagent tablets (703) in a laminating manner, the conveying mechanism (8) comprises a transmission motor (801) fixed on the first frame body (1), a fourth synchronous pulley (802) is fixed on an output shaft of the transmission motor (801), a conveying roller (803) is fixed on the top end of the output shaft of the transmission motor (801), one side of the conveying roller (803) is provided with a squeeze roller (804) in a laminating manner, and the squeeze roller (804) is in rotary connection with the second frame body (5).
- 5. Fruit and vegetable pesticide residue detection system using artificial intelligence algorithm according to claim 1, characterized in that the chromogenic paper roll conveying mechanism (9) comprises another group of winding mechanism (6), unreeling mechanism (7) and conveying mechanism (8), and the winding mechanism (6), unreeling mechanism (7) and conveying mechanism (8) of the chromogenic paper roll conveying mechanism (9) are respectively meshed with the first transmission mechanism (2), the second transmission mechanism (3) and the third transmission mechanism (4).
- 6. The fruit and vegetable pesticide residue detection system using an artificial intelligence algorithm according to claim 1, wherein the base mechanism (10) comprises a base body (1001) fixed at one end of the first frame body (1), an air pump is arranged inside the base body (1001), two notches (1002) are formed in the base body (1001), a servo guide rail (1003) is fixed at the top of the base body (1001), an installation frame (1004) is slidably connected to the servo guide rail (1003), two micro vacuum generators (1005) are fixed on the installation frame (1004), and the micro vacuum generators (1005) are connected with the air pump through air paths.
- 7. The fruit and vegetable pesticide residue detection system using an artificial intelligence algorithm according to claim 6, wherein the first cylinder mechanism (11) comprises a fixing frame (1101) fixed on a mounting frame (1004), a first cylinder body (1102) is fixed on the fixing frame (1101), a guide frame (1103) is fixed on the first cylinder body (1102), an output end of the first cylinder body (1102) is connected with a pressing plate (1104), a vacuum chuck (1105) is fixed at the other end of the pressing plate (1104), the vacuum chuck (1105) is connected with a micro vacuum generator (1005) through a gas circuit, a sliding hole (1106) is formed in the guide frame (1103), a guide rod (1107) is welded and fixed on the pressing plate (1104), the guide rod (1107) is connected with the sliding hole (1106) in a sliding mode, a cutter (1108) is fixed at one end of the pressing plate (1104), a second cylinder mechanism (12) is identical in structure and opposite to the first cylinder mechanism (11), and the air cylinder mechanism (1108) of the second cylinder mechanism (12) is slightly staggered with the first cylinder mechanism (11).
- 8. The fruit and vegetable pesticide residue detection system using an artificial intelligence algorithm according to claim 1, wherein the housing (1301) is fixed with the base body (1001), a mounting groove (1305) is formed in the housing (1301), and the housing (1301) is made of a heat insulation material.
- 9. The fruit and vegetable pesticide residue detection system using an artificial intelligence algorithm according to claim 1, wherein the extraction spray mechanism (15) comprises a connecting column (1501) welded and fixed with a casing (1301), a stirring barrel (1502) is welded and fixed at the top end of the connecting column (1501), a cover (1503) is connected at the top end of the stirring barrel (1502) in a sealing manner, and a stirring motor (1504) is fixed at the top end of the cover (1503).
- 10. The fruit and vegetable pesticide residue detection system using an artificial intelligence algorithm according to claim 9, wherein a filter (1505) is connected to the water outlet of the housing (1301) in a sealing manner, a micro water pump (1506) is connected to the other end of the filter (1505) in a sealing manner, a delivery pipe (1507) is connected to the output end of the micro water pump (1506) in a sealing manner, and a spray head (1508) is connected to the tail end of the delivery pipe (1507) in a sealing manner.
Description
Fruit and vegetable pesticide residue detection system utilizing artificial intelligence algorithm Technical Field The invention belongs to the technical field of pesticide residue detection, and particularly relates to a fruit and vegetable pesticide residue detection system utilizing an artificial intelligence algorithm. Background Pesticide residue is pesticide residue, refers to the general name of trace pesticide precursors, toxic metabolites, degradants and impurities remained in agricultural products, soil and water bodies after pesticide is used, the generation of the trace pesticide precursors is closely related to the pesticide application mode and degradation speed, excessive or improper pesticide use can cause the pesticide residue to exceed standard, and if the pesticide residue enters human bodies through food chains, chronic or acute harm can be generated to organs, nervous systems and the like, so that the pesticide residue content is one of core indexes for measuring the quality safety of the agricultural products, the existing pesticide residue detection technology mainly comprises two main types of laboratory accurate detection and rapid screening, the laboratory detection uses a chromatographic-mass spectrometry technology as a core, and the technologies can realize the accurate qualitative and quantitative determination of the pesticide residue. The gas chromatograph and the liquid chromatograph are often expensive and the detection time is long, therefore, when the pesticide residue is rapidly screened, people often use the pesticide residue detection card, the existing pesticide residue detection card needs manpower to stir mixed extracting solution and fruit and vegetable samples when detecting the pesticide residue, the operation of removing films, soaking the detection card, kneading the detection card and the like is also needed by people, the process is complicated, the body temperature of fingers is needed in the reaction process of tablets on two sides of the detection card, the body temperature of the detection personnel is difficult to keep constant in multiple detection, the kneading time length of each detection is difficult to be consistent due to the manual kneading, the consistency of the reaction time length of the tablets is difficult to be ensured, the detection result is not stable enough, meanwhile, after the two tablets of the detection card react in the prior art, the detection personnel need to judge the color of the color development test paper through naked eyes, the subjectivity of judgment is strong, the precision is low, and the color observed by naked eyes is easy to be interfered by an external light source. Disclosure of Invention The invention aims to overcome the defects of the prior art and provide a fruit and vegetable pesticide residue detection system by using an artificial intelligence algorithm. The technical scheme for solving the technical problems is that the fruit and vegetable pesticide residue detection system utilizing the artificial intelligence algorithm comprises a first frame body and a reaction test chamber mechanism, wherein a first transmission mechanism is rotatably connected to the first frame body, the first transmission mechanism comprises a first gear which is rotatably connected with the first frame body, a first belt wheel is coaxially fixed at the top of the first gear, a first synchronous belt is arranged on the outer meshing of the first belt wheel, a second gear is arranged on one side of the first gear in a meshing manner, the second gear is rotatably connected with the first frame body, a second belt wheel is coaxially fixed at the top of the second gear, a second synchronous belt is arranged on the outer meshing of the second belt wheel, a second transmission mechanism and a third transmission mechanism are rotatably connected to the first frame body, and a second frame body is fixed at the top of the first frame body; The second frame body is rotatably connected with a winding mechanism, the second frame body is rotatably connected with an unwinding mechanism, the unwinding mechanism comprises an unwinding assembly, a test paper roll is fixed at the top end of the unwinding assembly, a conveying mechanism is fixed at one end of the first frame body, a color development paper roll conveying mechanism is arranged on the second frame body, a base mechanism is fixed at one end of the first frame body, and a first cylinder mechanism and a second cylinder mechanism are arranged on the base mechanism; The top of transport mechanism is fixed with reaction test room mechanism, reaction test room mechanism includes the casing, the outside of casing is fixed with the industrial computer, still inlay on the casing and be fixed with small-size air conditioner, the one end sliding connection of casing has electric lift door, the inboard of reaction test room mechanism is fixed with shooting mechanism, shooting mechanism is including