Moisture detection method based on intelligent oven, positioning magnetic snap and two-dimensional code

Abstract

A moisture detection method based on an intelligent drying oven, a positioning magnetic buckle and a two-dimensional code comprises the following steps: 1, storing a sample, locking a sample bag opening by using an anti-theft magnetic buckle, scanning the anti-theft magnetic buckle by using a code scanning gun, and putting the sample into a sample storage cabinet, and 2, taking out the sample with specified mass, putting the sample into a sample disc, putting the sample disc into the intelligent drying oven, and starting detection; 3, automatically detecting the sample to be detected in the intelligent oven; 4, a worker completes report making work in a data processing chamber according to the data uploaded by the intelligent drying oven; 5, the data processing center automatically supplements sensitive information such as clients and samples according to the two-dimensional code information, and report simulation work is completed; and step 6, sending a detection report to the client APP.

Description

Technical Field

[0001] The present invention relates to the field of moisture detection, and in particular to a moisture detection method based on an intelligent oven, a positioning magnetic button and a QR code. Background Art

[0002] Moisture detection involves trade settlement. If there is a small difference in moisture content in the weight of a large number of goods, the dry weight of the goods will vary greatly, resulting in a significant loss to one party of the transaction. Therefore, both parties in bulk resource commodity transactions attach great importance to moisture detection and whether the moisture detection work can be fair, just and efficient.

[0003] Traditional testing agencies usually attach great importance to the research of moisture testing technology and focus on the construction of testing plants and testing equipment, but have shortcomings in the design of work processes and the regulatory requirements for personnel. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a moisture detection method based on an intelligent oven, a positioning magnetic button and a QR code, which can greatly improve work efficiency, improve the fairness, safety and reliability of detection work, protect the objectivity and fairness of the detection process, make the work traceable, and reproduce the experiment through hardware and method innovation.

[0005] The purpose of the present invention is to be achieved through the following technical solutions: A moisture detection method based on a smart oven, a positioning magnetic buckle and a QR code comprises the following steps: Step 1, after collecting the sample and locking the mouth of the sample bag with an anti-theft magnetic buckle, the anti-theft magnetic buckle is scanned with a barcode scanner and then put into a sample storage cabinet; Step 2, after taking out the sample of specified mass, put it into a sample tray, put it into a smart oven, and start detection; Step 3, the sample to be tested will complete automatic detection in the smart oven; Step 4, the personnel will complete the report preparation work in the data processing room according to the data uploaded by the smart oven; Step 5, the data processing center will automatically supplement the sensitive information such as customers and samples according to the QR code information to complete the report preparation work; Step 6, the test report will be sent to the customer APP; In the first step, the front desk staff scans the employee QR code, registers the inspection information, collects the samples and locks the sample bag with an anti-theft magnetic buckle after completing the charge, and then scans the anti-theft magnetic buckle with a barcode scanner and puts it into the sample storage cabinet. After a certain number of samples are accumulated, the laboratory staff is notified to take the samples away; at this time, the employee information, inspection information and anti-theft magnetic buckle QR code information are transmitted to the data processing center; In the second step, the laboratory personnel are not allowed to carry personal photography equipment or strong magnetic equipment during work, and are not allowed to leave the alarm grille area while carrying samples; the laboratory personnel scan the employee QR code, transport the sample to the sample separation area of ​​the testing laboratory, scan the anti-theft magnetic buckle QR code and the sample tray QR code to complete the binding, use special equipment to open the anti-theft magnetic buckle, take out the sample of specified mass, put it into the sample tray, put it into the smart oven, and start testing; then the remaining samples are locked again with the anti-theft magnetic buckle as backup samples, stored in the sample storage room, and the QR code on the sample rack is scanned to complete the sample storage location binding; at this time, employee information, samples to be tested, backup samples, sample storage location, anti-theft magnetic buckle location, grille alarm, and video surveillance information have all been uploaded to the data center; the laboratory staff do not have the front desk information acceptance authority and the data center data access authority, and only understand the three samples The related QR code information is not enough to leak the information of the samples to be tested under the condition of full monitoring; In the third step, after the smart oven is turned on, it will automatically identify the QR code of the sample tray and send the detection time, sample quality, video and other information to the data center; the sample to be tested will complete the automatic detection in the smart oven, and the smart oven will automatically shut down after the detection is completed; In the fourth step, data processing, the employee QR code is scanned, and the employee completes the report preparation work in the data processing room according to the data uploaded by the smart oven; the system sends the report preparation requirements in the inspection information to the data processing personnel according to the QR code recognition part, and the data processing personnel completes the preliminary report preparation according to the experimental data and report preparation requirements, and sends the preliminary report to the data processing center; In the fifth step, the data processing center will automatically supplement sensitive information such as customers and samples according to the QR code information to complete the report preparation work. At the same time, the data processing center will store process data, such as six QR code information, magnetic buckle position information, grille alarm information, video monitoring information, backup sample information, etc., as electronic files; In step 6, after the manager completes the test report review work in the data processing center terminal APP, the test report will be sent to the customer APP; if there is a customer dispute, the manager can trace the source and find the problem based on the information linked to this test report. Beneficial Effects

[0006] 1. This method is aimed at the needs of both parties to the trade and takes into account the actual situation of the testing agency. In practical exploration, a moisture safety testing method based on an intelligent oven, anti-theft magnetic buckle and QR code is summarized. Through the innovation of hardware and methods, it can greatly improve work efficiency, improve the fairness, safety and reliability of testing work, make the work traceable, and the experiment can be reproduced, thus improving fairness and safety.

[0007] 2. This method has rigorous logic and is easy to operate. Through the application of smart ovens, positioning magnetic buckles and QR code technology, relevant methods are established to clarify the responsibilities of staff, making moisture detection work efficient, fast and safe. This method innovatively builds a high-temperature explosion-proof camera into the smart oven, making the unattended operation of the smart oven more reliable. It can identify human interference during the operation of the smart oven and identify state changes during the heating process of the sample, providing support for subsequent data analysis. At the same time, this method provides an innovative idea that various smart probes can be installed in the oven to make the smart oven more intelligent.

[0008] 3. This method innovatively integrates the steel wire lock, anti-theft coil, QR code, and positioning chip into an anti-theft magnetic buckle, giving the magnetic buckle an identity and adding a positioning function on the basis of the alarm and lock. The combination of magnetic buckle and digital technology has achieved a qualitative leap in its function.

[0009] 4. This method innovatively uses six QR codes to integrate the personnel information, sample inspection information, test information, and storage information of the three links. It can partially hide information according to role permissions to achieve the purpose of shielding the information of front desk personnel, inspection personnel, and data processing personnel, thereby protecting the objectivity and fairness of the inspection process.

[0010] 5. The working process described in this method can enable the staff in each link to concentrate on the work in this link, complete the training in a short time and achieve high work efficiency, making the moisture detection work modular and easy to manage.

[0011] 6. The concept of data processing center has been proposed, which enables the moisture detection work to achieve full information collection and traceability, ensuring the fairness and safety of the detection work. The data processing center cooperates with the use of APP to improve the role experience, optimize the work process and improve work efficiency. DETAILED DESCRIPTION

[0012] The present invention is further described in detail below according to embodiments: Embodiment 1: A moisture detection method based on a smart oven, a positioning magnetic buckle and a QR code comprises the following steps: Step 1, after collecting the sample and locking the mouth of the sample bag with an anti-theft magnetic buckle, the anti-theft magnetic buckle is scanned with a barcode scanner and then put into the sample storage cabinet; Step 2, after taking out the sample of specified mass, put it into the sample tray, put it into the smart oven, and start the detection; Step 3, the sample to be tested will complete the automatic detection in the smart oven; Step 4, the personnel will complete the report preparation work in the data processing room according to the data uploaded by the smart oven; Step 5, the data processing center will automatically supplement the sensitive information such as customers and samples according to the QR code information to complete the report preparation work; Step 6, the detection report will be sent to the customer APP; In the first step, the front desk staff scans the employee QR code, registers the inspection information, collects the samples and locks the sample bag with an anti-theft magnetic buckle after completing the charge, and then scans the anti-theft magnetic buckle with a barcode scanner and puts it into the sample storage cabinet. After a certain number of samples are accumulated, the laboratory staff is notified to take the samples away; at this time, the employee information, inspection information and anti-theft magnetic buckle QR code information are transmitted to the data processing center; In the second step, the laboratory personnel are not allowed to carry personal photography equipment or strong magnetic equipment during work, and are not allowed to leave the alarm grille area while carrying samples; the laboratory personnel scan the employee QR code, transport the sample to the sample separation area of ​​the testing laboratory, scan the anti-theft magnetic buckle QR code and the sample tray QR code to complete the binding, use special equipment to open the anti-theft magnetic buckle, take out the sample of specified mass, put it into the sample tray, put it into the smart oven, and start testing; then the remaining samples are locked again with the anti-theft magnetic buckle as backup samples, stored in the sample storage room, and the QR code on the sample rack is scanned to complete the sample storage location binding; at this time, employee information, samples to be tested, backup samples, sample storage location, anti-theft magnetic buckle location, grille alarm, and video surveillance information have all been uploaded to the data center; the laboratory staff do not have the front desk information acceptance authority and the data center data access authority, and only understand the three samples The related QR code information is not enough to leak the information of the samples to be tested under the condition of full monitoring; In the third step, after the smart oven is turned on, it will automatically identify the QR code of the sample tray and send the detection time, sample quality, video and other information to the data center; the sample to be tested will complete the automatic detection in the smart oven, and the smart oven will automatically shut down after the detection is completed; In the fourth step, data processing, the employee QR code is scanned, and the employee completes the report preparation work in the data processing room according to the data uploaded by the smart oven; the system sends the report preparation requirements in the inspection information to the data processing personnel according to the QR code recognition part, and the data processing personnel completes the preliminary report preparation according to the experimental data and report preparation requirements, and sends the preliminary report to the data processing center; In the fifth step, the data processing center will automatically supplement sensitive information such as customers and samples according to the QR code information to complete the report preparation work. At the same time, the data processing center will store process data, such as six QR code information, magnetic buckle position information, grille alarm information, video monitoring information, backup sample information, etc., as electronic files; In step 6, after the manager completes the test report review work in the data processing center terminal APP, the test report will be sent to the customer APP; if there is a customer dispute, the manager can trace the source and find the problem based on the information linked to this test report.

[0013] Embodiment 2: 1. The sample storage cabinet of the present invention has a front door for storing samples submitted for inspection at the front desk, and a rear door for experimenters to take away samples.

[0014] 2. Front desk, used to register inspection information and store inspection samples; 3. Testing laboratory, used for sample sorting and testing; 4. Sample storage room, used for backup sample storage; 5. Data processing room, used for preparing and sending moisture test reports; 6. The underground alarm grille, in conjunction with the alarm magnetic buckle, has an alarm function for the alarm magnetic buckle that is taken out of the designated area. The underground alarm grille covers the entire area of ​​the sample storage cabinet, testing laboratory, sample storage room and the passages between the sample storage cabinet, testing laboratory, and sample storage room.

[0015] 7. Video surveillance system, which can store 3 months of video materials, covers the entire area of ​​the front desk, sample storage cabinet, testing laboratory, sample storage room, smart oven, and data processing room.

[0016] 8. Anti-theft magnetic buckle is used to lock the mouth of the sample bag to prevent moisture from volatilizing. It can prevent the loss of samples when combined with the alarm grille. The magnetic buckle has a built-in positioning and tracking system, which can be used with the APP to track the location and prevent the sample from being out of control. The magnetic buckle is printed with a QR code for sample identification.

[0017] 9. Enamel sample plate, 40cm*30cm*5cm, with a rectangular prism of 5cm*5cm*6cm fixed in the upper left corner. A QR code is printed on the top of the rectangular prism for sample identification in the data processing stage.

[0018] 10. The intelligent oven has the functions of automatic weighing, automatic judgment of moisture detection points, automatic curve drawing, and automatic storage of experimental data. In addition, with the high-temperature explosion-proof camera in the intelligent oven, the condition of the samples in the oven can be monitored throughout the process. On the one hand, it can prevent interference from human factors, and on the other hand, it can detect the state of the sample during heating and record abnormal conditions such as collapse, spillage, and oxidation.

[0019] 11. Data processing center: The data processing center has the function of classifying, summarizing and storing the above system data, and can send data to managers and users according to their permissions.

[0020] 12. The front desk staff is responsible for receiving the inspection information, collecting the samples, locking the sample bags with anti-theft magnetic buckles, and putting them into the sample storage cabinet. The inspection information and the anti-theft magnetic buckle QR code information are transmitted to the data processing center.

[0021] 13. The experimenter is responsible for taking the samples to be tested from the sample storage cabinet, dividing the samples into samples to be tested and backup samples in the laboratory sampling area, and transmitting the anti-theft magnetic buckle QR code information and sample tray QR code information to the data processing center. The experimenter is responsible for placing the samples into the smart oven and starting the test work. The smart oven transmits the sample tray QR code information and video recording information to the data processing center. The experimenter is responsible for classifying and storing the tested samples in the designated location.

[0022] 14. Data processing personnel prepare test reports based on the data uploaded by the smart oven and customer requirements issued by the data center and upload them to the data center.

[0023] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the technical principles of the present invention, and these improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A moisture detection method based on an intelligent oven, a positioning magnetic buckle and a QR code, characterized in that : It includes the following steps: Step 1, collect the samples and lock the mouth of the sample bag with an anti-theft magnetic buckle, scan the anti-theft magnetic buckle with a barcode scanner and put it into the sample storage cabinet; Step 2, take out the samples of specified mass and put them into the sample tray, put them into the smart oven, and start testing; Step 3, the samples to be tested will complete automatic testing in the smart oven; Step 4, the personnel will complete the report preparation work in the data processing room according to the data uploaded by the smart oven; Step 5, the data processing center will automatically supplement the sensitive information such as customers and samples according to the QR code information to complete the report preparation work; Step 6, the test report will be sent to the customer APP.

2. The moisture detection method based on the intelligent oven, the positioning magnetic buckle and the QR code according to claim 1 is characterized in that : In the first step, the front desk staff scans the employee QR code, registers the inspection information, completes the fee, collects the sample and locks the sample bag with an anti-theft magnetic buckle, then scans the anti-theft magnetic buckle with a barcode scanner and puts it into the sample storage cabinet. After accumulating a certain number of samples, the experimenter is notified to take the samples away; at this time, the employee information, inspection information and anti-theft magnetic buckle QR code information are transmitted to the data processing center.

3. The moisture detection method based on the intelligent oven, the positioning magnetic buckle and the QR code according to claim 1 is characterized in that : In the second step, the experimenter shall not carry personal photography equipment or strong magnetic equipment during work, and shall not leave the alarm grille area while carrying samples; the experimenter scans the employee QR code, transports the sample to the sample separation area of ​​the testing laboratory, scans the anti-theft magnetic buckle QR code and the sample tray QR code to complete the binding, uses special equipment to open the anti-theft magnetic buckle, takes out the sample of specified mass, puts it into the sample tray, puts it into the smart oven, and starts the test; then the remaining samples are locked again with the anti-theft magnetic buckle as backup samples, stored in the sample storage room, and the QR code on the sample rack is scanned to complete the sample storage location binding; At this time, employee information, samples to be tested, backup samples, sample storage location, anti-theft magnetic buckle location, grille alarm, and video surveillance information have all been uploaded to the data center; the laboratory staff do not have the authority to accept information at the front desk and the authority to review data in the data center, and can only understand the relevant QR code information of the three samples under the condition of full monitoring, which is not enough to leak the information of the samples to be tested.

4. The moisture detection method based on the intelligent oven, the positioning magnetic buckle and the QR code according to claim 1 is characterized in that : In the third step, after the smart oven is turned on, it will automatically identify the QR code of the sample tray and send the detection time, sample quality, video and other information to the data center; the sample to be tested will complete automatic detection in the smart oven, and the smart oven will automatically shut down after the detection is completed.

5. The moisture detection method based on the intelligent oven, the positioning magnetic buckle and the QR code according to claim 1 is characterized in that : The fourth step, data processing scans the employee QR code, and the personnel completes the report preparation work in the data processing room according to the data uploaded by the smart oven; the system will send the report preparation requirements in the inspection information to the data processing personnel according to the QR code recognition part, and the data processing personnel will complete the preliminary report according to the experimental data and report preparation requirements, and send the preliminary report to the data processing center.

6. The moisture detection method based on the intelligent oven, the positioning magnetic buckle and the QR code according to claim 1 is characterized in that : In the fifth step, the data processing center will automatically supplement sensitive information such as customers and samples based on the QR code information to complete the report preparation work. At the same time, the data processing center will store process data, such as six QR code information, magnetic buckle position information, grille alarm information, video monitoring information, backup sample information, etc. as electronic files.

7. The moisture detection method based on the intelligent oven, the positioning magnetic buckle and the QR code according to claim 1 is characterized in that : In step 6, after the manager completes the test report review work in the data processing center terminal APP, the test report will be sent to the customer APP; if there is a customer dispute, the manager can trace the source and find the problem based on the information linked to this test report.