CN111497461A - Intelligent machine for edible agricultural product qualification certificate and working method thereof - Google Patents
Intelligent machine for edible agricultural product qualification certificate and working method thereof Download PDFInfo
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- 238000000034 method Methods 0.000 title claims description 16
- 238000012797 qualification Methods 0.000 title claims description 6
- 238000001514 detection method Methods 0.000 claims abstract description 46
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 claims abstract description 30
- 238000002798 spectrophotometry method Methods 0.000 claims abstract description 21
- 238000012795 verification Methods 0.000 claims abstract description 14
- 230000036039 immunity Effects 0.000 claims abstract description 8
- 238000003018 immunoassay Methods 0.000 claims abstract description 4
- 238000002835 absorbance Methods 0.000 claims description 24
- 230000003287 optical effect Effects 0.000 claims description 5
- 230000003993 interaction Effects 0.000 claims description 4
- 239000000447 pesticide residue Substances 0.000 claims description 4
- 230000005764 inhibitory process Effects 0.000 claims description 3
- 230000001678 irradiating effect Effects 0.000 claims description 3
- 230000001629 suppression Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 5
- 239000000126 substance Substances 0.000 description 5
- 230000007547 defect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 239000000654 additive Substances 0.000 description 1
- 244000052616 bacterial pathogen Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 229940088597 hormone Drugs 0.000 description 1
- 239000005556 hormone Substances 0.000 description 1
- 230000003053 immunization Effects 0.000 description 1
- 238000002649 immunization Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000575 pesticide Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 239000000273 veterinary drug Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- B41J—TYPEWRITERS; SELECTIVE PRINTING MECHANISMS, i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME; CORRECTION OF TYPOGRAPHICAL ERRORS
- B41J3/00—Typewriters or selective printing or marking mechanisms characterised by the purpose for which they are constructed
- B41J3/44—Typewriters or selective printing mechanisms having dual functions or combined with, or coupled to, apparatus performing other functions
- B41J3/445—Printers integrated in other types of apparatus, e.g. printers integrated in cameras
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/8483—Investigating reagent band
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- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
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Abstract
The invention discloses an intelligent machine for edible agricultural product certification, which comprises a mainboard, and a spectrophotometric module, a colloidal gold module, a fluorescence immunoassay module, a printer, an identity card identification module, a fingerprint identification module, a display and a power supply module which are respectively connected with the mainboard; the mainboard is connected with spectrophotometry module, printer and ID card identification module through serial ports or USB mouth, is connected with colloidal gold module, fluorescence immunity module and fingerprint identification module through the USB mouth, is connected with the display through VGA, HDMI or DVI interface, USB mouth, a plurality of serial ports, VGA interface and ethernet interface are used for inserting various equipment that expands outward. The invention has the advantages of simple detection, high speed, real-time checking and printing of results, low detection cost and the like, and simultaneously has equipment login identity identification and safety verification to ensure the safety of the data of the detection results and the certificates in use together.
Description
Technical Field
The invention relates to the field of intelligent machines, in particular to an intelligent machine for edible agricultural product qualification certificates and a working method thereof.
Background
Due to abuse of chemical pesticides, environmental pollution such as soil and water quality is more and more serious, food safety problems are paid extensive attention, and the degree of food safety supervision is increased by related organizations. The chemical detection method has the advantages of large detection equipment volume, limitation to laboratories, complex operation, long time and high cost, and cannot meet the detection requirement of rapid popularization.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an intelligent machine for edible agricultural product certificates, which is designed aiming at the defects of a chemical detection method and has the advantages of simple detection, high speed, real-time checking and printing of results, low detection cost and the like, and simultaneously has equipment login identity identification and safety verification to ensure the safety of the data of the detection results and the certificates in use; the kit can be used for detecting common harmful substances in food such as pesticide residues, veterinary drug residues, hormone residues, fungomycin, food-borne pathogenic bacteria, additives, illegal addition and the like, can provide detection and self-acceptance certificate printing requirements for agricultural product production and plantation owners, and can also be widely applied to occasions such as edible agricultural product supply, processing and supervision.
The invention also aims to provide a working method of the intelligent machine for the edible agricultural product qualification certificate.
The purpose of the invention is realized by the following technical scheme:
an intelligent machine for edible agricultural product certification comprises a mainboard, and a spectrophotometric module, a colloidal gold module, a fluorescence immunoassay module, a printer, an identity card identification module, a fingerprint identification module, a display and a power supply module which are respectively connected with the mainboard;
the spectrophotometry module comprises a spectrophotometry lamp panel, a detector panel and an MCU control panel; the MCU control board is respectively connected with the main board, the spectrophotometric lamp panel and the detector board;
the colloidal gold module comprises a colloidal gold lamp panel and a first camera panel;
the fluorescence immune module comprises a fluorescence immune lamp panel, an optical filter and a second camera panel;
meanwhile, the power panel is respectively connected with the spectrophotometry module, the printer and the display.
The model of the main board is L R-J1900L 1.
The model of the spectrophotometric module is DGN-12A.
The model of the colloidal gold module is CG-2A.
The model of the fluorescence immune module is FS-2A.
The printer model is RD-FK 12.
The model of the identity card identification module is RD-1802.
The type of the fingerprint identification module is FP 100.
The model of the display is W190 TD.
The model of the power supply module is L R-200W.
The main board comprises a CPU, a memory, a hard disk, a WIFI and Bluetooth module, a plurality of serial ports, a USB port, an HDMI interface, a VGA interface, a DVI interface and an Ethernet interface; the mainboard passes through the serial ports or the USB mouth is connected with spectrophotometry module, printer and ID card identification module, is connected with colloidal gold module, fluorescence immunity module and fingerprint identification module through the USB mouth, is connected with the display through VGA, HDMI or DVI interface to externally provide abundant USB mouth, serial ports, VGA interface and ethernet port, so that insert various external expanding equipment.
The model of the MCU on the MCU control panel is STM32F 070.
The identity card identification module comprises a card swiping module and a safety module; the card swiping module reads the information of the identity card and then transmits the information to the safety module, the safety module decodes the information and then transmits the information to the mainboard for identity verification, storage and display, and the corresponding application software can be logged in only after the verification is passed. So as to improve the safety of software use, detection record and qualification record.
The fingerprint identification module reads the fingerprint information and then transmits the fingerprint information to the mainboard for fingerprint verification, storage and display, and the system can be logged in only after verification. To improve the safety of the use of the instrument.
The power supply module supplies +5V voltage for the spectrophotometry module, supplies +12V voltage for the mainboard, the printer and the display, and directly supplies power for the colloidal gold module, the fluorescence immune module, the identity recognition module and the fingerprint module with a serial port or a USB port of the mainboard.
The other purpose of the invention is realized by the following technical scheme:
a working method of an intelligent machine for edible agricultural product certification comprises the following steps:
the main board controls the spectrophotometric module to zero, detect and feed back the detection result through corresponding application software installed on an operating system, controls the colloidal gold and the fluorescence immune module to automatically identify CT lines, detect and feed back the result, controls the printer to print the detection result and the pass certificate, receives the identity card information identified by the identity card identification module and verifies the legality of the identity card information, receives the fingerprint information identified by the fingerprint identification module and verifies the legality of the fingerprint information, outputs a signal to the display to perform audio and video display so as to facilitate man-machine interaction, and the power supply module supplies power to the spectrophotometric module, the main board, the printer and the display;
the detection method of the spectrophotometry module comprises the following steps: placing the transparent cuvette with the object to be detected in a sample groove between a spectrophotometric lamp panel and a detector panel, controlling the spectrophotometric lamp panel to adjust the appropriate brightness by an MCU control panel, receiving a signal intensity value detected and received by the detector before and after the object to be detected is placed, transmitting the signal intensity value to a main board, and calculating pesticide residue in the object to be detected by the main board;
the colloidal gold module detection method comprises the following steps: placing a card to be tested into the clamping groove, irradiating the light of the colloidal gold lamp plate onto the card to be tested, photographing the card to be tested by the camera, transmitting an image to the main board, and judging whether the object to be tested is positive or negative by the main board;
the detection method of the fluorescence immune module comprises the following steps: the card to be detected is placed in the clamping groove, the fluorescence immunity lamp board irradiates the card to be detected, the camera shoots the card to be detected through the optical filter, the image is transmitted to the mainboard, and the mainboard judges the negative and positive of the object to be detected.
The spectrophotometric module works by adopting a suppression ratio method:
a. zero setting: after receiving the zeroing instruction, the MCU control board continuously adjusts DA values of all channels sent to the multifunctional lamp panel, so that AD values enabling the light intensity values of all channels to be within the range of 3000-3900 are obtained from the detector board, and the light intensity values of all channels are marked as B;
b. calculating the absorbance change value of the control, namely after the control is placed in the control, obtaining a light intensity value A1 by the MCU control board after receiving a detection instruction, obtaining a light intensity value A2 again after 3 minutes, wherein the absorbance change value of the control is △ Abs 1-log 10(B/A2) -log10(B/A1) -log10 (A1/A2);
c. calculating the absorbance change value of the sample, namely after the sample is placed, obtaining the light intensity value and recording the light intensity value as SA1 by the MCU control board after receiving a detection instruction, and obtaining the light intensity value and recording the light intensity value as SA2 again after 3 minutes, wherein the absorbance change value of the sample is △ Abs 2-log 10(B/SA2) -log10(B/SA1) -log10 (SA1/SA 2);
d. and (3) calculating the inhibition rate (△ Abs1- △ Abs2)/△ Abs1 x 100.
The spectrophotometric module works by adopting a standard curve method:
a. zero setting: after receiving the zeroing instruction, the MCU control board continuously adjusts DA values of all channels sent to the multifunctional lamp panel, so that AD values enabling the light intensity values of all channels to be within the range of 3000-3900 are obtained from the detector board, and the light intensity values of all channels are marked as B;
b. calculate control absorbance values: after the contrast is placed, the MCU control panel obtains the light intensity value and marks as A after receiving the detection instruction, and the light absorbance value of the contrast is as follows: abs1 ═ log10 (B/a);
c. calculating the absorbance value of the sample: after the sample is placed, the MCU control panel obtains a light intensity value and records the light intensity value as SA after receiving a detection instruction, and the sample absorbance value is as follows: abs2 ═ log10 (B/SA);
d. calculating a concentration value: c0+ c1 (Abs2-Abs1) + c2 (Abs2-Abs1) ^ 2.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. compared with a chemical method, the optical detection method adopted by the invention can obviously accelerate the detection time efficiency and reduce the cost.
2. The invention has strong expandability, and can connect various detection modules into the detection instrument through USB ports, serial ports and other modes.
3. The invention provides a plurality of identity recognition modes to improve the use of equipment and the safety of data.
Drawings
FIG. 1 is a schematic structural diagram of an intelligent machine for edible agricultural product certification according to the present invention.
Fig. 2, 3 and 4 are circuit diagrams of the MCU control board according to the present invention.
Fig. 5 is a circuit diagram of the spectrophotometric lamp panel of the present invention.
Fig. 6 is a circuit diagram of a detector board according to the present invention.
Fig. 7 is a circuit diagram of the colloidal gold lamp panel according to the invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
Referring to fig. 1-7, an intelligent machine for edible agricultural product quality certification comprises a spectrophotometric module, a colloidal gold module, a fluorescence immunoassay module, a main board, a printer, an identity card identification module, a fingerprint identification module, a display and a power supply module; the spectrophotometry module comprises a spectrophotometry lamp panel, a detector panel and an MCU control panel; the colloidal gold module comprises a colloidal gold lamp panel and a camera board; the spectrophotometry module is connected with the main board; the colloidal gold module is connected with the main board; the fluorescence immune module is connected with the main board; the main board is respectively connected with the spectrophotometry module, the colloidal gold module, the fluorescence immunization module, the printer, the identity card identification module, the fingerprint identification module, the display and the power supply module; the power panel is respectively connected with the spectrophotometry module, the main board, the printer and the display.
The main board controls the spectrophotometry module to zero, detect and feed back a detection result through special application software installed on an operating system, controls the colloidal gold and the fluorescence immunity module to automatically identify CT lines, detect and feed back the result, controls the printer to print the detection result and the qualified card, receives the identity card information identified by the identity card identification module and verifies the legality of the identity card information, receives the fingerprint information identified by the fingerprint identification module and verifies the legality of the fingerprint information, outputs a signal to the display to perform audio and video display so as to facilitate man-machine interaction, and the power supply module supplies power to the spectrophotometry module, the main board, the printer and the display.
The mainboard comprises a CPU, a memory, a hard disk, a WIFI module, a Bluetooth module, a plurality of serial ports, a USB port, an HDMI interface, a VGA interface, a DVI interface and an Ethernet interface. The mainboard passes through the serial ports or the USB mouth is connected with spectrophotometry module, printer and ID card identification module, is connected through USB mouth and colloidal gold module, fluorescence immunity module and fingerprint identification module, is connected through VGA, HDMI or DVI interface and display to externally provide abundant USB mouth, serial ports, VGA interface and ethernet port, so that insert various equipment that expands outward.
And the MCU on the MCU control board is STM32F 070.
The identity card identification module comprises a card swiping module and a safety module. The card swiping module reads the identity card information and then transmits the identity card information to the safety module, the safety module decodes the information and then transmits the information to the mainboard for identity verification, storage and display, and the special application software can be logged in only after verification, so that the safety of software use, detection records and quality certificate records is improved.
The fingerprint identification module reads fingerprint information and then transmits the fingerprint information to the mainboard for fingerprint verification, storage and display, and system login can be performed only after verification is passed, so that the use safety of the instrument is improved.
The power module supplies +5V voltage for the spectrophotometry module and supplies +12V voltage for the mainboard, the printer and the display, and the colloidal gold module, the fluorescence immune module, the identity recognition module and the fingerprint module are directly supplied with power by a serial port or a USB port of the mainboard.
A working method of an intelligent machine for edible agricultural product certification comprises the following steps:
the main board controls the spectrophotometric module to zero, detect and feed back the detection result through corresponding application software installed on an operating system, controls the colloidal gold and the fluorescence immune module to automatically identify CT lines, detect and feed back the result, controls the printer to print the detection result and the pass certificate, receives the identity card information identified by the identity card identification module and verifies the legality of the identity card information, receives the fingerprint information identified by the fingerprint identification module and verifies the legality of the fingerprint information, outputs a signal to the display to perform audio and video display so as to facilitate man-machine interaction, and the power supply module supplies power to the spectrophotometric module, the main board, the printer and the display;
the detection method of the spectrophotometry module comprises the following steps: placing the transparent cuvette with the object to be detected in a sample groove between a spectrophotometric lamp panel and a detector panel, controlling the spectrophotometric lamp panel to adjust the appropriate brightness by an MCU control panel, receiving a signal intensity value detected and received by the detector before and after the object to be detected is placed, transmitting the signal intensity value to a main board, and calculating pesticide residue in the object to be detected by the main board;
the colloidal gold module detection method comprises the following steps: placing a card to be tested into the clamping groove, irradiating the light of the colloidal gold lamp plate onto the card to be tested, photographing the card to be tested by the camera, transmitting an image to the main board, and judging whether the object to be tested is positive or negative by the main board;
the detection method of the fluorescence immune module comprises the following steps: the card to be detected is placed in the clamping groove, the fluorescence immunity lamp board irradiates the card to be detected, the camera shoots the card to be detected through the optical filter, the image is transmitted to the mainboard, and the mainboard judges the negative and positive of the object to be detected.
The spectrophotometric module works by adopting a suppression ratio method:
a. zero setting: after receiving the zeroing instruction, the MCU control board continuously adjusts DA values of all channels sent to the multifunctional lamp panel, so that AD values enabling the light intensity values of all channels to be within the range of 3000-3900 are obtained from the detector board, and the light intensity values of all channels are marked as B;
b. calculating the absorbance change value of the control, namely after the control is placed in the control, obtaining a light intensity value A1 by the MCU control board after receiving a detection instruction, obtaining a light intensity value A2 again after 3 minutes, wherein the absorbance change value of the control is △ Abs 1-log 10(B/A2) -log10(B/A1) -log10 (A1/A2);
c. calculating the absorbance change value of the sample, namely after the sample is placed, obtaining the light intensity value and recording the light intensity value as SA1 by the MCU control board after receiving a detection instruction, and obtaining the light intensity value and recording the light intensity value as SA2 again after 3 minutes, wherein the absorbance change value of the sample is △ Abs 2-log 10(B/SA2) -log10(B/SA1) -log10 (SA1/SA 2);
d. and (3) calculating the inhibition rate (△ Abs1- △ Abs2)/△ Abs1 x 100.
The spectrophotometric module works by adopting a standard curve method:
a. zero setting: after receiving the zeroing instruction, the MCU control board continuously adjusts DA values of all channels sent to the multifunctional lamp panel, so that AD values enabling the light intensity values of all channels to be within the range of 3000-3900 are obtained from the detector board, and the light intensity values of all channels are marked as B;
b. calculate control absorbance values: after the contrast is placed, the MCU control panel obtains the light intensity value and marks as A after receiving the detection instruction, and the light absorbance value of the contrast is as follows: abs1 ═ log10 (B/a);
c. calculating the absorbance value of the sample: after the sample is placed, the MCU control panel obtains a light intensity value and records the light intensity value as SA after receiving a detection instruction, and the sample absorbance value is as follows: abs2 ═ log10 (B/SA);
d. calculating a concentration value: c0+ c1 (Abs2-Abs1) + c2 (Abs2-Abs1) ^ 2.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (10)
1. The utility model provides an edible agricultural product certification intelligent machine which characterized in that: the system comprises a mainboard, and a spectrophotometric module, a colloidal gold module, a fluorescence immunoassay module, a printer, an identity card identification module, a fingerprint identification module, a display and a power supply module which are respectively connected with the mainboard;
the main board comprises a CPU, a memory, a hard disk, a WIFI and Bluetooth module, a plurality of serial ports, a USB port, an HDMI interface, a VGA interface, a DVI interface and an Ethernet interface; the main board is connected with the spectrophotometric module, the printer and the identification card identification module through a serial port or a USB port, is connected with the colloidal gold module, the fluorescence immunity module and the fingerprint identification module through the USB port, and is connected with the display through a VGA, HDMI or DVI interface, and the USB port, the plurality of serial ports, the VGA interface and the Ethernet interface are used for being connected with various external expansion devices;
the identity card identification module comprises a card swiping module and a safety module; the card swiping module reads the information of the identity card and then transmits the information to the safety module, the safety module decodes the information and then transmits the information to the mainboard for identity verification, storage and display, and the corresponding application software can be logged in only after the verification is passed;
the fingerprint identification module reads fingerprint information and then transmits the fingerprint information to the mainboard for fingerprint verification, storage and display, and system login can be performed only after verification is passed;
the power supply module supplies +5V voltage for the spectrophotometry module, supplies +12V voltage for the mainboard, the printer and the display, and directly supplies power for the colloidal gold module, the fluorescence immune module, the identity recognition module and the fingerprint module with a serial port or a USB port of the mainboard.
2. The edible agricultural product certification intelligent machine of claim 1, wherein: the model of the spectrophotometric module is DGN-12A; the spectrophotometry module comprises a spectrophotometry lamp panel, a detector panel and an MCU control panel; the MCU control board is respectively connected with the main board, the spectrophotometric lamp panel and the detector board; the model of the MCU on the MCU control panel is STM32F 070.
3. The intelligent machine for qualification certification of edible agricultural products of claim 1, wherein the main board is L R-J1900L 1.
4. The edible agricultural product certification intelligent machine of claim 1, wherein: the model of the colloidal gold module is CG-2A.
5. The edible agricultural product certification intelligent machine of claim 1, wherein: the model of the fluorescence immune module is FS-2A.
6. The edible agricultural product certification intelligent machine of claim 1, wherein: the model of the identity card identification module is RD-1802.
7. The edible agricultural product certification intelligent machine of claim 1, wherein: the type of the fingerprint identification module is FP 100.
8. A working method of an intelligent machine for food agricultural product certification is characterized by comprising the following steps:
the main board controls the spectrophotometric module to zero, detect and feed back the detection result through corresponding application software installed on an operating system, controls the colloidal gold and the fluorescence immune module to automatically identify CT lines, detect and feed back the result, controls the printer to print the detection result and the pass certificate, receives the identity card information identified by the identity card identification module and verifies the legality of the identity card information, receives the fingerprint information identified by the fingerprint identification module and verifies the legality of the fingerprint information, outputs a signal to the display to perform audio and video display so as to facilitate man-machine interaction, and the power supply module supplies power to the spectrophotometric module, the main board, the printer and the display;
the detection method of the spectrophotometry module comprises the following steps: placing the transparent cuvette with the object to be detected in a sample groove between a spectrophotometric lamp panel and a detector panel, controlling the spectrophotometric lamp panel to adjust the appropriate brightness by an MCU control panel, receiving a signal intensity value detected and received by the detector before and after the object to be detected is placed, transmitting the signal intensity value to a main board, and calculating pesticide residue in the object to be detected by the main board;
the colloidal gold module detection method comprises the following steps: placing a card to be tested into the clamping groove, irradiating the light of the colloidal gold lamp plate onto the card to be tested, photographing the card to be tested by the camera, transmitting an image to the main board, and judging whether the object to be tested is positive or negative by the main board;
the detection method of the fluorescence immune module comprises the following steps: the card to be detected is placed in the clamping groove, the fluorescence immunity lamp board irradiates the card to be detected, the camera shoots the card to be detected through the optical filter, the image is transmitted to the mainboard, and the mainboard judges the negative and positive of the object to be detected.
9. The method of claim 8, wherein the spectrophotometric module operates using a suppression ratio method:
a. zero setting: after receiving the zeroing instruction, the MCU control board continuously adjusts DA values of all channels sent to the multifunctional lamp panel, so that AD values enabling the light intensity values of all channels to be within the range of 3000-3900 are obtained from the detector board, and the light intensity values of all channels are marked as B;
b. calculating the absorbance change value of the control, namely after the control is placed in the control, obtaining a light intensity value A1 by the MCU control board after receiving a detection instruction, obtaining a light intensity value A2 again after 3 minutes, wherein the absorbance change value of the control is △ Abs 1-log 10(B/A2) -log10(B/A1) -log10 (A1/A2);
c. calculating the absorbance change value of the sample, namely after the sample is placed, obtaining the light intensity value and recording the light intensity value as SA1 by the MCU control board after receiving a detection instruction, and obtaining the light intensity value and recording the light intensity value as SA2 again after 3 minutes, wherein the absorbance change value of the sample is △ Abs 2-log 10(B/SA2) -log10(B/SA1) -log10 (SA1/SA 2);
d. and (3) calculating the inhibition rate (△ Abs1- △ Abs2)/△ Abs1 x 100.
10. The method of claim 8, wherein the spectrophotometric module operates using a standard curve method:
a. zero setting: after receiving the zeroing instruction, the MCU control board continuously adjusts DA values of all channels sent to the multifunctional lamp panel, so that AD values enabling the light intensity values of all channels to be within the range of 3000-3900 are obtained from the detector board, and the light intensity values of all channels are marked as B;
b. calculate control absorbance values: after the contrast is placed, the MCU control panel obtains the light intensity value and marks as A after receiving the detection instruction, and the light absorbance value of the contrast is as follows: abs1 ═ log10 (B/a);
c. calculating the absorbance value of the sample: after the sample is placed, the MCU control panel obtains a light intensity value and records the light intensity value as SA after receiving a detection instruction, and the sample absorbance value is as follows: abs2 ═ log10 (B/SA);
d. calculating a concentration value: c0+ c1 (Abs2-Abs1) + c2 (Abs2-Abs1) ^ 2.
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