CN113159799A - Traceability special pesticide residue detection system and detection method based on Internet of things - Google Patents
Traceability special pesticide residue detection system and detection method based on Internet of things Download PDFInfo
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Abstract
The invention provides a traceability special pesticide residue detection system and a detection method based on the Internet of things, wherein the system comprises a traceability monitoring end, a server and a detection device, the server is connected with the traceability monitoring end through a network, and the detection device is communicated with the server through the network; the detection device comprises a main box body, a detection module, a printing module, a power supply and a controller, wherein the detection module and the printing module are arranged on the main box body, the power supply and the controller are arranged in the main box body, the detection method is used for carrying out pesticide residue detection on an agricultural product sample through the detection module, the printing module is used for carrying out label printing on a pesticide residue detection result through two modes of thermosensitive printing and RFID writing, double guarantee is provided for pesticide residue detection information, and the mode of writing the RFID into an electronic label is used for increasing the safety of a tracing chain; the invention solves the problems of disordered traceability information and lack of safety caused by multiple links involved in agricultural product traceability chains and non-standard information acquisition in the prior art.
Description
Technical Field
The invention relates to the technical field of agricultural product quality traceability based on the Internet of things, in particular to a traceability special pesticide residue detection system and a traceability special pesticide residue detection method based on the Internet of things.
Background
The quality and economic development of the civil lives in China are important guarantees, and the quality safety of agricultural products is a major problem concerning the national lives. In recent years, people in China have more and more attentions on food safety, and how to eat real relieved dishes is the key point of attention of governments and the public. The establishment of the agricultural product traceability system and the agricultural product traceability system is an important means for guaranteeing the quality of agricultural products, and the agricultural product safety production traceability system is researched and developed, so that the agricultural production operation rules can be standardized, and the safety level of the agricultural products can be improved.
In the prior domestic agricultural product traceability system, pesticide residue data of delivery and sale terminals are lacked. Therefore, in recent years, a traceability system and emerging information technologies such as RFID (radio frequency identification), the Internet of things and the mobile internet are fused with each other to become a research hotspot. The method is combined with the RFID and NFC (near field communication) technology, and is suitable for the application scenes of livestock breeding (such as sheep, pigs and the like) with high value, mobility and multiple turnover links; secondly, the method is combined with the technology of the Internet of things, and is suitable for closed and controllable application scenes such as chicken farms, vegetable greenhouses and vegetable cold chain transfer; thirdly, the system is combined with multiple technologies such as RFID, Internet of things, video, WEBGIS and the like, and is suitable for regional comprehensive application scenes such as provincial and urban agricultural product safety early warning and tracing comprehensive platforms; and fourthly, the method is combined with a block chain technology and is suitable for application scenes with strict requirements on the accuracy of the source tracing information. In the application and practice process, the systems show better stability, but in the aspect of system function design, the problems of multiple links of tracing chains, excessively dense acquisition information, disordered detection information flow of agricultural product information, no safety guarantee, high use cost and the like exist, so that the use effect is poor.
Disclosure of Invention
The problem of traceability information is mixed and disorderly and lack the security in order to solve among the prior art agricultural product traceability chain and relate to the link many, information acquisition is not standard and cause. The invention provides a traceability special pesticide residue detection system and method based on the Internet of things.
A traceability special pesticide residue detection system based on the Internet of things comprises a traceability monitoring end, a server and a detection device, wherein the server is connected with the traceability monitoring end through a network, and the detection device is communicated with the server through the network;
the detection device comprises a main box body, a detection module, a printing module, a power supply and a controller, wherein the detection module and the printing module are arranged on the main box body, the power supply and the controller are arranged in the main box body, the detection module and the printing module are all connected with the controller, the detection module, the printing module and the controller are all connected with the power supply, an antenna is arranged on the side face of the main box body, and the antenna is connected with the controller and is connected with a server through a wireless network.
Further, detection module includes detection channel and light screen, be provided with the cell that a plurality of arrays distribute in the detection channel, the light screen covers on detection channel and the one end of light screen is articulated with the main tank body.
Further, the cell is transparent and is located inside the main tank body, and the cell both sides are provided with light source and sensor respectively, light source and sensor are fixed in the cell both sides through the support.
Further, the main box body is further provided with a light source and a sensor control panel which are connected with the light source and the sensor, and the light source and the sensor control panel are connected with the controller.
Further, the printing module comprises a label support, a thermal printing module, an RFID paper feeder, an RFID reader-writer and an RFID label erected on the label support through a rotating shaft, the label support is arranged above the main box body, the thermal printing module is arranged inside the main box body, and the RFID paper feeder is a rubber roller driven by a motor.
Furthermore, an operation screen is arranged on the main box body and connected with the controller.
A source tracing special pesticide residue detection method is applied to the source tracing special pesticide residue detection system based on the Internet of things, and comprises the following steps:
and 6, displaying and monitoring the formed tracing file by the tracing monitoring terminal.
Further, the detecting device for detecting the sample by using the enzyme inhibition rate method specifically comprises the following steps:
step 3.1, the controller judges whether the detection is the first operation on the same day, if so, the step 3.2 is carried out, and if not, the step 3.3 is carried out;
and 3.2, performing blank control group detection on the detection module, determining the enzyme inhibition rate of a blank group completely without pesticide residue, and determining the reference of pesticide residue detection according to the color change of the test solution.
And 3.3, extracting a sample of the product to be detected and detecting pesticide residues of the sample through a detection module.
Further, the blank control group detection and the pesticide residue detection of the sample specifically comprise:
step 3.11, placing the blank control group and the sample in a cuvette, irradiating the cuvette by a light source and receiving the transmission illumination intensity by a sensor;
3.12, the light source and sensor control board receives the detection signal of the sensor and sends the detection signal to the controller;
and 3.13, calculating and generating a detection result by the controller according to the detection signal.
Further, the step 4 specifically includes:
the tracing source code and product related detection information are printed on the RFID label through the thermal printing module, information of the electronic label is written in the RFID label through the RFID reader-writer, and the information written in by the electronic label is the encrypted pesticide residue detection result and process data.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a traceability special pesticide residue detection system and a detection method based on the Internet of things, and the traceability monitoring end, a server and a detection device are arranged to form the pesticide residue detection system which can complement pesticide residue data in the traceability system, ensure the authenticity and uniqueness of detection data and prevent tampering;
based on the provided detection method, the detection module is used for detecting pesticide residues of the agricultural product sample, and the printing module is used for printing the pesticide residue detection result in a thermosensitive printing mode and an RFID writing mode, so that double guarantee is provided for pesticide residue detection information, wherein the mode of writing the RFID into the electronic tag increases the safety of the tracing chain;
through the setting of antenna, server and the monitoring end of tracing to the source, make detection device be connected through thing networking and server and the monitoring end of tracing to the source, the incomplete detection information of agricultural product can be recorded and control through the thing networking, guarantees that the detection data is difficult to be tampered with.
Drawings
Fig. 1 is a schematic view of the overall structure of a traceability-dedicated pesticide residue detection system based on the internet of things.
Fig. 2 is a first structural schematic diagram of a detection device of the traceability special pesticide residue detection system based on the internet of things.
Fig. 3 is a schematic structural diagram of a detection device of the traceability special pesticide residue detection system based on the internet of things.
Fig. 4 is a schematic view of a detection flow of the traceability-dedicated pesticide residue detection method of the present invention.
Fig. 5 is a schematic flow chart of a detection method implemented by a detection device in the traceability special pesticide residue detection system and the detection method based on the internet of things.
Detailed Description
The invention will be further explained with reference to the following figures and specific examples:
example one
As shown in fig. 1 to 3, a traceability special pesticide residue detection system based on the internet of things comprises a traceability monitoring terminal 1, a server 2 and a detection device, wherein the server 2 is connected with the traceability monitoring terminal 1 through a network, and the detection device is communicated with the server 2 through the network;
detection device includes the main tank body 3 and sets up detection module 4, print module 5 and set up power 6 and controller 7 in the main tank body 3 on the main tank body 3, detection module 4, print module 5 all are connected with controller 7, detection module 4, print module 5, controller 7 all are connected with power 6, the main tank body 3 side is provided with antenna 8, antenna 8 is connected with controller 7 and is connected with server 2 through wireless network.
It can be understood that, monitoring end 1 traces to the source, server 2 and detection device network constitute an agricultural product chain of tracing to the source based on the thing networking, detect the back through the incomplete condition of agricultural product of detection device with the farming, detected data feeds back to server 2 through the thing networking in real time and saves and arrange in order, the record of tracing to the source of agricultural product is formed in the arrangement to pesticide service information or other time node detection information correlation before with agricultural product and by the corresponding arrangement of unified serial number, conveniently look over and control at monitoring end 1 of tracing to the source, long-range control also prevents the tamper condition of in-process testing result simultaneously, authenticity and the reliability of tracing to the source and detecting have been guaranteed.
As an implementation mode, the detection module 4 comprises a detection channel 401 and a light shielding plate 402, a plurality of cuvettes 403 distributed in an array are arranged in the detection channel 401, the light shielding plate 402 covers the detection channel 401, and one end of the light shielding plate 402 is hinged with the main box 3.
As an implementation mode, the cuvette 403 is transparent and located inside the main box 3, and the light source 14 and the sensor 15 are respectively disposed on two sides of the cuvette 403, and the light source 14 and the sensor 15 are fixed on two sides of the cuvette 403 through the bracket 16.
Specifically, the main box 3 is further provided with a light source and sensor control board 17 connected with the light source 14 and the sensor 15, and the light source and sensor control board 17 is connected with the controller 7.
It can be understood that the arrangement of the light shielding plate 402 ensures that the materials in the cuvette 403 are not affected by external ambient light when being irradiated by the light source 14 for detection, the accuracy of the detection result is ensured, the cuvette 403 is irradiated by the light source 14 under the control of the light source and the sensor control board 17 during detection, the penetrating illumination intensity is detected by the sensor 15, data is transmitted to the controller 7 through the light source and the sensor control board 17, and then the controller 7 calculates and processes the pesticide residue detection result according to the detection signal.
As an implementation manner, the printing module 5 includes a label support 9, a thermal printing module 10, an RFID paper feeder 11, an RFID reader/writer 12, and an RFID label 13 mounted on the label support 9 through a rotating shaft, the label support 9 is disposed above the main box 3, the thermal printing module 10 is disposed inside the main box 3, and the RFID paper feeder 11 is a rubber roller driven by a motor.
It can be understood that the printing module 5 includes two information printing modes of thermal printing and RFID reading and writing, wherein the thermal printing module 10 prints the tracing code and the related information of the agricultural product on the RFID tag 13 in a visible form, the RFID reader 12 writes the pesticide residue detection result calculated and processed by the controller 7 into the RFID tag 13 in an electronic information encryption manner, and the security of the pesticide residue detection information is ensured by writing the dual information.
In an embodiment, the main box 3 is provided with an operation screen 18, and the operation screen 18 is connected to the controller 7.
When the detection device is used specifically, the traceability monitoring terminal 1 issues a detection task to the detection device through the server 2, and issues a traceability code and related information associated with the detection, before the detection, the detection device firstly determines whether the detection is carried out for the first time in the day, if the detection is carried out for the first time in the day, a blank contrast group experiment needs to be carried out firstly to determine a detection standard, then the detection of a sample is carried out normally, when the contrast experiment or the sample detection is carried out, the detected sample is placed in the cuvette 403, the cuvette 403 is irradiated by the light source 14 through the control of the light source and the sensor control panel 17, the sensor 15 detects the penetrating illumination intensity and transmits the data to the controller 7 through the light source and the sensor control panel 17, and then the controller 7 calculates and processes the pesticide residue detection result according to the detection signal;
the detection result calculated and processed by the controller is sent to the server 2 through the antenna 8 to be stored so as to be inquired and monitored at the traceability monitoring end 1, meanwhile, the detection result is printed to the RFID label 13 through the printing module 5, the thermosensitive printing module 10 prints traceability codes and relevant information of agricultural products on the RFID label 13 in a visible mode, the RFID reader-writer 12 writes the detection result calculated and processed by the controller 7 into the RFID label 13 in an electronic information encryption mode, and the safety of the detection information of the agricultural residues is guaranteed by writing in dual information.
Example two
As shown in fig. 4 to 5, a method for detecting traceability special pesticide residues is applied to a system for detecting traceability special pesticide residues based on the internet of things in the first embodiment, and the method includes:
and 6, displaying and monitoring the formed tracing archive by the tracing monitoring terminal 1.
As an implementation mode, the detection device for detecting the sample by using the enzyme inhibition rate method specifically comprises the following steps:
step 3.1, the controller 7 judges whether the detection is the first operation on the same day, if so, the step 3.2 is carried out, and if not, the step 3.3 is carried out;
and 3.2, performing blank control group detection on the detection module 4, determining the enzyme inhibition rate of a blank group completely without pesticide residue, and determining the reference of pesticide residue detection according to the color change of the test solution.
And 3.3, extracting a sample of the product to be detected and detecting pesticide residues of the sample through a detection module.
It can be understood that the principle of pesticide residue detection is mainly to calculate the inhibition rate of enzyme, and the method for calculating the inhibition rate of enzyme by the detection device through the absorbance of light is as follows:
i: value of light intensity
T: transmittance of light
A: absorbance of the solution
A1: initial absorbance
A180: absorbance after 180 seconds
Δ A: absorbance difference after 180 seconds
△A＝A180-A1
Where a1 is the standard reference channel, the data for a1 was used to calculate the inhibition rate.
In the above formula, Δ An is the absorbance difference of the channel to be measured.
The detection device in this embodiment performs pesticide residue detection on 12 detection channels 401, that is, 12 groups of samples can be simultaneously detected by 12 cuvettes 403, each detection channel 401 is provided with a set of light source 14412nm and sensor 15, the light sources 14 and the sensors 15 at all the detection channels 401 are calibrated once every 15 days, and the calibrated error information is automatically modified by the controller 7.
As an embodiment, the blank control group detection and the pesticide residue detection of the sample specifically include:
step 3.11, placing the blank control group and the sample in a cuvette 403, irradiating the cuvette 403 by a light source 14 and receiving the transmitted illumination intensity by a sensor 15;
step 3.12, the light source and sensor control board 17 receives the detection signal of the sensor 15 and sends the detection signal to the controller;
and 3.13, calculating and generating a detection result by the controller according to the detection signal.
As an implementation manner, the step 4 is specifically:
the tracing code and the product related detection information are printed on the RFID label 13 through the thermal printing module 10, and the information of the electronic label is written in on the RFID label 13 through the RFID reader-writer 12, wherein the information written in by the electronic label is the encrypted pesticide residue detection result and the process data.
When specifically using, to use detection device to carry out actual detection as an example, incomplete detecting system's of farming concrete working process is:
1. starting up: and opening the detection device, wherein the detection device is in remote network connection with the server through an antenna, and receives the pesticide residue detection task and the source tracing code issued by the source tracing monitoring terminal 1 through the server 2.
2. Preparing a reagent: buffer solution: adding 1 bag of buffer into 500mL of distilled water or purified water, stirring and dissolving to obtain phosphate buffer solution pH7.6, and storing at room temperature. Color developing agent: dissolving 1 bottle of color developing agent in 25mL of buffer solution, and storing 100 μ L in a refrigerator at 4 deg.C when using.
3. Substrate: dissolving 1 bottle of substrate with 12.5mL of distilled water or purified water, and storing in a refrigerator at 4 deg.C with 100 μ L when in use; or dissolving 1 bottle of substrate in 2.5mL of distilled water or purified water, and storing at 4 deg.C in 20 μ L refrigerator. Cholinesterase: the enzyme preparation can be directly used without preparation, and 100 μ L of the enzyme preparation can be stored in a refrigerator at 4 deg.C.
4. Sample extraction: taking 2g of fruit and vegetable sample tuber and taking 4g), cutting leaf vegetables into pieces with the square of about 10mm, taking a cross section sample of the tuber and taking the epidermis of the tuber, putting the tuber and the cross section sample or the epidermis of the tuber into a triangular flask, adding 10mL of buffer solution, oscillating for 1-2 min, pouring out an extracting solution, standing for 2min, and waiting for detection. If the extract is turbid or contains too much impurities, it can be filtered and then measured.
5. Control test: adding 2.5mL of buffer solution into a reaction bottle, then respectively adding 100 mu L of enzyme solution and color developing agent, uniformly mixing, standing for reaction for 10min, adding 100 mu L or 20 mu L of substrate, shaking uniformly, immediately pouring into a cuvette 403, and timely putting into a detection channel 401 of a detection device 4. After the measurement by the light source 14 and the sensor 15 and the timing of the measurement time is completed, the operation screen 18 displays the increase in the control absorbance (Δ Α) and indicates completion. While the control test is being performed, the other channels may be concurrently tested for the sample.
6. And (3) sample testing: adding 2.5mL of the solution to be detected into a reaction bottle, then respectively adding 100 mu L of the enzyme solution and the color developing agent, uniformly mixing, standing for reaction for 10min, adding 100 mu L or 20 mu L of the substrate, shaking uniformly, immediately pouring into a cuvette 403, and timely putting into a detection channel 401 of a detection device 4. After the measurement by the light source 14 and the sensor 15 and the timing of the measurement time, the operation screen displays the absorbance increase Δ Α) and the inhibition rate of the sample and indicates pass or exceed. The data may be automatically saved.
7. And (3) data printing: after the measurement result is finished, the detection device can automatically generate the measurement result according to the detection task issued by the server 2, and the measurement result is automatically uploaded to the server 2 for archiving and recording. Meanwhile, the detection device prints detection information related to the source tracing code and the product on the RFID label 13 through the thermal sensitive printing module 10 according to the detection result, writes information of the electronic label on the RFID label 13 through the RFID reader-writer 12, and attaches the printed RFID label 13 to the sample cargo packaging striking position to finish the pesticide residue detection process.
8. Tracing detection and monitoring: after the detection of the sample is finished in the pesticide residue detection system, the related information query of a certain agricultural product can be carried out at the traceability monitoring terminal 1, the information comprises the pesticide use condition and each detection result when the agricultural product is planted, and the completeness and the reliability of a product traceability chain are ensured.
The above-described embodiments are merely preferred embodiments of the present invention, and not intended to limit the scope of the invention, so that equivalent changes or modifications in the structure, features and principles described in the present invention should be included in the claims of the present invention.
Claims (10)
1. The system for detecting the pesticide residues specially used for tracing based on the Internet of things is characterized by comprising a tracing monitoring end (1), a server (2) and a detection device, wherein the server (2) is connected with the tracing monitoring end (1) through a network, and the detection device is communicated with the server (2) through the network;
the detection device comprises a main box body (3), a detection module (4) and a printing module (5) which are arranged on the main box body (3), and a power supply (6) and a controller (7) which are arranged in the main box body (3), wherein the detection module (4) and the printing module (5) are all connected with the controller (7), the detection module (4), the printing module (5) and the controller (7) are all connected with the power supply (6), an antenna (8) is arranged on the side face of the main box body (3), and the antenna (8) is connected with the controller (7) and is connected with the server (2) through a wireless network.
2. The Internet of things-based source tracing special pesticide residue detection system is characterized in that the detection module (4) comprises a detection channel (401) and a light shielding plate (402), a plurality of cuvettes (403) distributed in an array are arranged in the detection channel (401), the light shielding plate (402) covers the detection channel (401), and one end of the light shielding plate (402) is hinged to the main box body (3).
3. The Internet of things-based source tracing special pesticide residue detection system is characterized in that the cuvette (403) is transparent and is located inside the main box body (3), a light source (14) and a sensor (15) are respectively arranged on two sides of the cuvette (403), and the light source (14) and the sensor (15) are fixed on two sides of the cuvette (403) through a support (16).
4. The Internet of things-based traceability special pesticide residue detection system is characterized in that the main box body (3) is further provided with a light source and sensor control board (17) connected with a light source (14) and a sensor (15), and the light source and sensor control board (17) is connected with the controller (7).
5. The Internet of things-based source tracing special pesticide residue detection system is characterized in that the printing module (5) comprises a label support (9), a thermal printing module (10), an RFID paper feeder (11), an RFID reader-writer (12) and an RFID label (13) erected on the label support (9) through a rotating shaft, the label support (9) is arranged above the main box body (3), the thermal printing module (10) is arranged inside the main box body (3), and the RFID paper feeder (11) is a rubber roller driven by a motor.
6. The Internet of things-based source tracing special pesticide residue detection system is characterized in that an operation screen (18) is arranged on the main box body (3), and the operation screen (18) is connected with the controller (7).
7. A source tracing special pesticide residue detection method is applied to the source tracing special pesticide residue detection system based on the Internet of things and claimed in claims 1-6, and the method is characterized by comprising the following steps:
step 1, a traceability monitoring end (1) sends a pesticide residue detection task to a server (2);
step 2, the server (2) receives and stores the pesticide residue detection task, generates a traceability detection request and a traceability code according to the pesticide residue detection task, and issues the traceability detection request and the traceability code to the detection device;
step 3, the detection device detects the sample by adopting an enzyme inhibition rate method, and stores and feeds back the detection result to the server (2) after associating the detection result with the source tracing code;
step 4, the detection device prints a traceability code on the RFID label (13) through the printing module (5) and writes detection result information;
step 5, the server (2) receives the detection result and then performs correlation comparison with the pesticide use condition of the related product to form a source tracing archive record and store the source tracing archive record;
and 6, displaying and monitoring the formed tracing archive by the tracing monitoring end (1).
8. The detection method of the traceability special-purpose pesticide residue detection system based on the internet of things as claimed in claim 7, wherein the detection device specifically detects the sample by using an enzyme inhibition rate method comprises:
step 3.1, the controller (7) judges whether the detection is the first operation on the current day, if so, the step 3.2 is carried out, and if not, the step 3.3 is carried out;
step 3.2, performing blank control group detection on the detection module (4), determining the enzyme inhibition rate of a blank group completely without pesticide residue, and determining the reference of pesticide residue detection according to the color change of the test solution;
and 3.3, extracting a sample of the product to be detected and detecting pesticide residues of the sample through a detection module.
9. The detection method of the traceability special-purpose pesticide residue detection system based on the internet of things as claimed in claim 8, wherein the blank control group detection and the sample pesticide residue detection specifically comprise:
step 3.11, placing the blank control group and the sample in a cuvette (403), and illuminating the cuvette (403) by a light source (14) and receiving the transmitted illumination intensity by a sensor (15);
3.12, the light source and sensor control board (17) receives a detection signal of the sensor (15) and sends the detection signal to the controller;
and 3.13, calculating and generating a detection result by the controller (15) according to the detection signal.
10. The detection method of the traceability special-purpose pesticide residue detection system based on the internet of things as claimed in claim 8, wherein the step 4 specifically comprises:
the tracing code and product related detection information is printed on the RFID label (13) through the thermal printing module (10), and the information of the electronic label is written in on the RFID label (13) through the RFID reader-writer (12), wherein the information written in by the electronic label is the encrypted pesticide residue detection result and the process data.
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