An explosive detection method based on colorimetric array technology

Abstract

The invention relates to an explosive detection method based on colorimetric array technology. The detector involved in the method is composed of a sampling module, an image acquisition module, an ARM board, an FPGA board, a liquid crystal display module, a lithium battery, and a power switch. The method designs an area causing turbulence in a sampling cavity, and an airflow carrying crystal cluster particles is retained in the cavity for a longer time, and finally ensures that a micro-nano colorimetric sensor chip has a good effect of collecting floating explosive crystal cluster particles. The micro-nano colorimetric sensor chip integrates multiple independent areas based on the colorimetric array technology, and has the ability to perform specific color reactions with floating explosive crystal cluster particles. The method has the characteristics of intelligent chemical analysis of various types of standard and non-standard explosives, and can accurately report the name, composition, etc. of explosives or easily made explosive raw materials. Its detection range covers explosives and easily made explosive raw materials, and realizes trace detection of explosives and easily made explosive raw materials.

Description

Technical Field

[0001] The present invention belongs to the field of explosive detection, specifically relates to intelligent chemical analysis technology, and a detection method using an explosive atmosphere detector. Background Art

[0002] Since Nobel invented safe explosives in the 1770s, explosives have played an extremely important role in the development of modern society, especially in the military, aerospace, infrastructure, and some industrial fields. In recent years, with the expansion of the application scope of explosives, the emergence of new varieties of explosives, and the invention of new explosives, explosive detectors are widely used in various fields such as airports, railway stations, ports, and public places of government agencies. Currently, the portable methods for detecting explosives include Raman spectroscopy, fluorescence technology, ion mobility spectrometry, colorimetry, etc. All of the above detection technologies have certain limitations.

[0003] Colorimetry has become the most promising method in the detection field because of its simple operation, ability to detect the composition of explosives, rapidity, sensitivity, and intuitive and reliable results.

[0004] Currently, colorimetry detection methods or products have been developed in some fields.

[0005] Patent Invention 201510267366.X provides a rapid detection method for sulfur in explosives. This detection method is based on chemical colorimetry. Without dissolving the suspicious sample, a detection reagent prepared by mixing a strong base, alcohol, and dimethyl sulfoxide at room temperature is directly dropped onto the extracted suspicious sample placed on a filter paper. If sulfur is contained in the suspicious sample, a layer of orange-red polysulfide can be formed on the surface of the suspicious sample on the filter paper within 2 seconds, thereby determining the presence of sulfur.

[0006] Patent for invention 201911246241.3 provides a detection method for a handheld explosive and drug colorimetric analyzer. The analyzer involved in this method consists of a driving board, a main board, a sampling module, an image acquisition module, an ID card module, a thermal printer module, a beeping alarm module, an LED indicator, a low-temperature polymer lithium battery, a display module, and a power switch. When in use, after collecting the sample to be tested with an array test card, insert the array test card into the test card insertion port to trigger the micro switch, click the start detection icon on the display module, and the specific detection result can be obtained in about 8 seconds. The detection result is displayed through the display module. If a suspicious object is detected, the LED indicator flashes red and the beeping alarm module beeps. If no suspicious object is detected, the LED indicator remains green and there is no beeping signal. At the same time, the information of the person to be tested can be collected into the main board through the ID card module, and the detection information can be printed on-site through the thermal printer. The detection data is uploaded to the corresponding background server in real time through the network port of the main board. Summary of the Invention

[0007] The purpose of the present invention is to address the problems of difficult detection of floating explosive crystal cluster particles in the air, as well as the cumbersome operation of multi-step detection by the elimination method and the judgment problems caused by visual differences in human eye judgment in colorimetric detection. The present invention provides an explosive detection method based on colorimetric array technology. The detector involved in this method consists of a sampling module, an image acquisition module, an ARM board, an FPGA board, a liquid crystal display screen, a lithium battery, and a power switch. The core of this method is a micro-nano colorimetric sensing chip. The micro-nano colorimetric sensing chip is based on colorimetric array technology and integrates multiple independent regions with the ability to have specific color reactions with floating explosive crystal cluster particles. A specially designed vacuum pump extracts the floating explosive crystal cluster particles at the target location to the surface of the micro-nano colorimetric sensing chip, and through chemical colorimetry and machine vision, trace detection of explosives and easily made explosive raw materials is achieved. It overcomes the disadvantage of poor timeliness of sequential reagent detection, enhances the recognition accuracy at the same time, and overcomes complex operations in terms of structure to achieve one-key operation for full-region detection.

[0008] An explosive detection method based on a colorimetric array technology. The detector involved in this method is composed of a sampling module (1), an image acquisition module (2), an ARM board (3), an FPGA board (4), a liquid crystal display screen (5), a lithium battery (6), and a power switch (7). The sampling module (1) is composed of a sampling port (8), a sliding cover (9), a microswitch a (10), a sealing cover plate (11), a motor (12), a chip slot (13), a micro-nano colorimetric sensing chip (14), a microswitch b (15), a vacuum pump (16), a frame (23), a gear (24), an airtight hose (25), and a sampling cavity (26). The motor (12) and the gear (24) are respectively fixed on the frame (23). The sealing cover plate (11) and the chip slot (13) are arranged on the motor (12). The micro-nano colorimetric sensing chip (14) is embedded in the chip slot (13). The vacuum pump (16) is connected to the sampling cavity (26) through the airtight hose (25). A sampling port (8) is arranged at one end of the frame (23).

[0009] The image acquisition module (2) is composed of a standard white LED ring light source (18), a large target surface double telecentric lens (19), and a high-speed industrial camera (20). The standard white LED ring light source (18), the large target surface double telecentric lens (19), and the high-speed industrial camera (20) are fixed on the same axis and fixed at the upper end of the detector.

[0010] The ARM board (3), the FPGA board (4), and the lithium battery (6) are respectively arranged at the lower end of the detector. The FPGA board (4) is arranged above the ARM board (3). A 4G module (21) is arranged at one end of the ARM board (3). An SD card storage area (22) is arranged at the other end of the ARM board (3). The lithium battery (6) is controlled by the ARM board (3).

[0011] A sampling button (17), a liquid crystal display screen (5), and a microswitch a (10) are respectively arranged at the upper end of the detector. The liquid crystal display screen (5) is connected to the ARM board (3) through an MIPI interface. The power switch (7) and the sliding cover (9) are respectively arranged on the outer shell of the detector. The specific operation is carried out according to the following steps:

[0012] a. Long press the power switch (7) for 3 s and wait for the explosive atmosphere detector to start up.

[0013] b. Open the front sliding cover (9) of the detector. The micro switch a (10) detects a signal. Click the "Yes" icon according to the prompt on the liquid crystal display screen (5). The motor (12) rotates the chip slot (13) to the same axis as the image acquisition module (2). Tear off the upper protective film of the micro-nano colorimetric sensing chip (14), and insert the micro-nano colorimetric sensing chip (14) into the chip slot (13). Click the "Complete" icon according to the prompt on the liquid crystal display screen (5), and close the sliding cover (9).

[0014] c. Point the sampling port (8) of the detector at the area to be measured and perform suction sampling. After the sampling is completed, the motor (12) rotates the chip slot (13) and the micro-nano colorimetric sensing chip (14) to the same axis as the image acquisition module (2). After the micro switch b (15) detects that the rotation is in place, the image acquisition module (2) performs image acquisition, preprocesses the image data and performs algorithm recognition. The detection result is displayed on the liquid crystal display screen (5). If no suspicious object is detected, the liquid crystal display screen (5) displays "No dangerous and explosive goods detected"; if a suspicious object is detected, the liquid crystal display screen (5) displays the name of the detected explosive or easily manufacturable explosive raw material.

[0015] d. The detection result, time, and geographical information are uploaded to the corresponding background server through the 4G module (21).

[0016] In the sampling module (1) of the method, the motor (12) rotates the chip slot (13) to a specific angle through the gear (24), and the curved surface and fillet of the sampling cavity (26) in the sampling module (1) are processed, so that the airflow carrying the crystal cluster particles stays in the cavity for a longer time.

[0017] In the method, the sampling module (1) is divided into a one-key mode and a semi-automatic mode according to the system settings.

[0018] The one-key mode is to press and then release the sampling button (17). The vacuum pump (16) performs suction sampling, and the suction sampling time is the default time set by the system.

[0019] The semi-automatic mode is to press and hold the sampling button (17). The vacuum pump (16) performs suction sampling. Release the sampling button (17), and the vacuum pump (16) ends the suction sampling. The sampling time can be freely controlled.

[0020] The present invention discloses an explosive detection method based on colorimetric array technology. When using the method, the front slide cover of the detector is opened, the yes icon is clicked according to the prompt of the liquid crystal display module, the upper protective film of the micro-nano colorimetric sensor chip is torn off and the micro-nano colorimetric sensor chip is inserted into the chip card slot, the slide cover is closed after the prompt of the liquid crystal display module and the completion icon is clicked, and the sampling port of the detector is pointed to the area to be tested to perform air sampling. After the sampling is completed, the specific test results can be obtained by waiting for about 3 seconds. The test results are displayed through the liquid crystal display module. If no suspicious objects are detected, the liquid crystal display module displays that no dangerous and explosive goods are detected. The test results, time, and geographic information are uploaded to the corresponding background server through the 4G module.

[0021] The difference between the explosive detection method based on colorimetric array technology described in the present invention and invention patent 201911246241.3 mainly lies in the sampling method, image acquisition, image processing and power supply. The explosive detection method based on colorimetric array technology described in the invention is a fully automatic air suction sampling module, which is mainly used to solve the problem of difficulty in detecting floating explosive cluster particles in the air, and uses a standard white LED ring light source, a large target double telecentric lens and a high-speed industrial camera in the image acquisition module. In terms of image processing, a separate FPGA board is used for data analysis and processing, and it is equipped with a portable and replaceable lithium battery.

[0022] The method for detecting explosives based on colorimetric array technology described in the present invention designs a region causing turbulence in the sampling cavity, and the airflow carrying crystal cluster particles is retained in the cavity for a longer time, ensuring that the micro-nano colorimetric sensor chip has a good effect of collecting floating explosive crystal cluster particles. The micro-nano colorimetric sensor chip in the detector improves the inconvenience and inaccuracy of detecting explosives and explosive-making raw materials in the past based on the colorimetric array technology. The micro-nano colorimetric sensor chip after the action is imaged, converted into data, and recognized by algorithms by chemical colorimetry combined with machine vision, so as to realize the trace detection of explosives and explosive-making raw materials; the detector has the characteristics of intelligent chemical analysis of various types of standard and non-standard explosives, and can accurately report the name, composition, etc. of explosives or explosive-making raw materials, and its detection range covers explosives and explosive-making raw materials. In addition, intelligent applications have been developed based on mainstream operating systems, which can be analyzed conveniently and quickly. At the same time, the database can be expanded and redeveloped, and the terminal detection results can be uploaded to the server database. In the future, it is expected that through big data comparison and analysis of the detection results of explosion cases in various regions, targeted early warning and intelligent analysis of explosion cases can be carried out. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the appearance structure of the detector of the present invention.

[0024] Figure 2 It is a schematic diagram of the internal structure of the detector of the present invention. Detailed implementation mode

[0025] Embodiment 1

[0026] An explosive detection method based on the colorimetric array technology according to the present invention. The detector is composed of a sampling module 1, an image acquisition module 2, an ARM board 3, an FPGA board 4, a liquid crystal display screen 5, a lithium battery 6, and a power switch 7;

[0027] The sampling module 1 is composed of a sampling port 8, a sliding cover 9, a microswitch a 10, a sealing cover plate 11, a motor 12, a chip slot 13, a micro-nano colorimetric sensing chip 14, a microswitch b 15, a vacuum pump 16, a frame 23, a gear 24, an airtight hose 25, and a sampling cavity 26. The motor 12 and the gear 24 are respectively fixed on the frame 23. The sealing cover plate 11 and the chip slot 13 are arranged on the motor 12. The micro-nano colorimetric sensing chip 14 is embedded in the chip slot 13. The vacuum pump 16 is connected to the sampling cavity 26 through the airtight hose 25. A sampling port 8 is arranged at one end of the frame 23; The sliding cover 9 provides a sealed optical environment for the image acquisition module 2, and the sealing cover plate 11 can ensure the airtightness of the sampling cavity 26 when the vacuum pump 16 sucks air for sampling;

[0028] The image acquisition module 2 is composed of a standard white LED ring light source 18, a large target surface double telecentric lens 19, and a high-speed industrial camera 20. The standard white LED ring light source 18, the large target surface double telecentric lens 19, and the high-speed industrial camera 20 are fixed on the same axis and fixed at the upper end of the detector; After the sampling module 1 finishes sampling, the ARM board 3 drives the motor 12 to rotate the micro-nano colorimetric sensing chip 14 clamped in the chip slot 13 to the image acquisition area. After the rotation is detected by the microswitch b 15, the ARM board 3 drives the standard white LED ring light source 18 to provide a suitable optical environment for the large target surface double telecentric lens 19 and the high-speed industrial camera 20 for image acquisition;

[0029] At the lower end of the detector, there are an ARM board 3, an FPGA board 4, and a lithium battery 6 respectively. The FPGA board 4 is arranged above the ARM board 3. At one end of the ARM board 3, there is a 4G module 21, and at the other end of the ARM board 3, there is an SD card storage area 22. The lithium battery 6 is controlled by the ARM board 3. The ARM board 3 is mainly used for driving the FPGA board 4, receiving data from the FPGA board 4, receiving and processing interactive information of the liquid crystal display screen 5, managing the lithium battery 6, detecting the power switch 7, detecting the micro switch a 10, driving the motor 12, detecting the micro switch b 15, driving the vacuum pump 16, the sampling button 17, controlling the standard white LED ring light source 18, driving the large target double telecentric lens 19, driving the high-speed industrial camera 20, processing information of the 4G module 21, and controlling the SD card storage area 22. Among them, the power switch 7, the micro switch a 10, the motor 12, the micro switch b 15, the vacuum pump 16, and the sampling button 17 are connected to the ARM board 3 through I / O ports. The 4G module 21 is mainly used for obtaining detection time, obtaining detection geographical location, and uploading detection data. The FPGA board 4 is mainly used for receiving image data of the high-speed industrial camera 20, preprocessing the image data, converting RGB data into the LAB space, performing operations with the color thresholds of the standard color value database, comparing and discriminating to report the detection result, and outputting the discrimination result to the ARM board 3. The lithium battery 6 is mainly controlled by the ARM board 3 to convert the DC voltage of the lithium battery 6 into five voltages through a four-way switching power supply and a linear power supply to supply power to the system.

[0030] At the upper end of the detector, there are a sampling button 17, a liquid crystal display screen 5, and a micro switch a 10 respectively. The liquid crystal display screen 5 is connected to the ARM board 3 through a MIPI interface. The power switch 7 and the sliding cover 9 are respectively arranged on the outer shell of the detector. The liquid crystal display screen 5 uses a capacitive TFT LCD liquid crystal display screen, which is mainly used for displaying detection results and human-machine interaction information, and feeding back the human-machine interaction information to the ARM board 3.

[0031] The specific operation is carried out according to the following steps:

[0032] a. Long press the power switch 7 for 3 s and wait for the explosive atmosphere detector to start.

[0033] b. Open the front sliding cover 9 of the detector. The micro switch a 10 detects a signal. According to the prompt on the liquid crystal display screen 5 and click the "Yes" icon. The motor 12 rotates the chip slot 13 to the same axis as the image acquisition module 2, tears off the upper protective film of the micro-nano colorimetric sensing chip 14, and inserts the micro-nano colorimetric sensing chip 14 into the chip slot 13. According to the prompt on the liquid crystal display screen 5 and click the "Complete" icon, and close the sliding cover 9.

[0034] c. Point the sampling port 8 of the detector at the area with floating urea crystal cluster particles, conduct suction sampling, set the sampling mode to one-key mode according to the system settings, press and then release the sampling button 17, the vacuum pump 16 conducts suction sampling, the suction sampling time is the default time set by the system, after sampling is completed, the motor 12 rotates the chip slot 13 and the micro-nano colorimetric sensing chip 14 to the same axis as the image acquisition module 2. After the micro-switch b 15 detects that the rotation is in place, the image acquisition module 2 conducts image acquisition, preprocesses the image data and performs algorithm recognition, and the detection result is displayed on the liquid crystal display screen 5: urea and its derivatives;

[0035] d. The detection result, time, and geographical information are uploaded to the corresponding background server through the 4G module 10, proving that the air area to be measured contains urea.

[0036] Example 2

[0037] The detector involved is based on Example 1, and the specific operation is carried out according to the following steps:

[0038] a. Long-press the power switch 7 for 3 s and wait for the explosive atmosphere detector to start up;

[0039] b. Open the front sliding cover 9 of the detector. The micro-switch a 10 detects the signal. According to the prompt on the liquid crystal display screen 5 and click the "Yes" icon. The motor 12 rotates the chip slot 13 to the same axis as the image acquisition module 2, tear off the upper protective film of the micro-nano colorimetric sensing chip 14 and insert the micro-nano colorimetric sensing chip 14 into the chip slot 13. According to the prompt on the liquid crystal display screen 5 and click the "Complete" icon, and close the sliding cover 9;

[0040] c. Point the sampling port 8 of the detector at the area with floating potassium permanganate crystal cluster particles, conduct suction sampling, set the sampling mode to semi-automatic mode according to the system settings, press and hold the sampling button 17 without releasing, the vacuum pump 16 conducts suction sampling, release the sampling button 17, and the vacuum pump 16 ends the suction sampling. After sampling is completed, the motor 12 rotates the chip slot 13 and the micro-nano colorimetric sensing chip 14 to the same axis as the image acquisition module 2. After the micro-switch b 15 detects that the rotation is in place, the image acquisition module 2 conducts image acquisition, preprocesses the image data and performs algorithm recognition, and the detection result is displayed on the liquid crystal display screen 5: permanganate;

[0041] d. The detection result, time, and geographical information are uploaded to the corresponding background server through the 4G module 21, proving that the air area to be measured contains potassium permanganate.

[0042] Example 3

[0043] The detector involved is based on Example 1, and the specific operation is carried out according to the following steps

[0044] a. Long press the power switch for 3 s and wait for the explosive atmosphere detector to start up;

[0045] b. Open the front sliding cover 9 of the detector. The micro switch a 10 detects the signal. According to the prompt on the liquid crystal display screen 5 and click the "Yes" icon. The motor 12 rotates the chip slot 13 to the same axis as the image acquisition module 2. Tear off the upper protective film of the micro-nano colorimetric sensing chip 14 and insert the micro-nano colorimetric sensing chip 14 into the chip slot 13. According to the prompt on the liquid crystal display screen 5 and click the "Complete" icon, then close the sliding cover 9;

[0046] c. Point the sampling port 8 of the detector at the area with floating black powder crystal cluster particles for suction sampling. Set the sampling mode to the one-key mode according to the system settings. Press and then release the sampling button 17. The vacuum pump 16 performs suction sampling. The suction sampling time is the default time set by the system. After the sampling is completed, the motor 12 rotates the chip slot 13 and the micro-nano colorimetric sensing chip 14 to the same axis as the image acquisition module 2. After the micro switch b 15 detects that the rotation is in place, the image acquisition module 2 performs image acquisition, and preprocesses the image data and performs algorithm recognition. The detection result is displayed on the liquid crystal display screen 5: black powder (sulfur, nitrate);

[0047] d. The detection result, time, and geographical information are uploaded to the corresponding background server through the 4G module 21, proving that the air area to be detected contains black powder.

[0048] Example 4

[0049] The detector involved is based on Example 1, and the specific operation is carried out according to the following steps

[0050] a. Long press the power switch for 3 s and wait for the explosive atmosphere detector to start up;

[0051] b. Open the front sliding cover 9 of the detector. The micro switch a 10 detects the signal. According to the prompt on the liquid crystal display screen 5 and click the "Yes" icon. The motor 12 rotates the chip slot 13 to the same axis as the image acquisition module 2. Tear off the upper protective film of the micro-nano colorimetric sensing chip 14 and insert the micro-nano colorimetric sensing chip 14 into the chip slot 13. According to the prompt on the liquid crystal display screen 5 and click the "Complete" icon, then close the sliding cover 9;

[0052] c. Point the sampling port 8 of the detector at the air area without explosive or precursor crystal cluster particles, perform suction sampling, set the sampling mode to the one-key mode according to the system settings, press and then release the sampling button 17, the vacuum pump 16 performs suction sampling, and the suction sampling time is the default time set by the system. After the sampling is completed, the motor 12 rotates the chip slot 13 and the micro-nano colorimetric sensing chip 14 to the same axis as the image acquisition module 2. After the micro-switch b 15 detects that the rotation is in place, the image acquisition module 2 performs image acquisition, preprocesses the image data and performs algorithm recognition, and the detection result is displayed on the liquid crystal display screen 5: no dangerous and explosive items are detected;

[0053] d. The detection result, time, and geographical information are uploaded to the corresponding background server through the 4G module 21, proving that the air area to be measured does not contain explosives or precursors.

[0054] The above are only preferred examples and are not used to limit the technical solutions of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the scope of protection.

Claims

1. An explosive detection method based on colorimetric array technology, characterized in that, the detector involved in this method is composed of a sampling module (1), an image acquisition module (2), an ARM board (3), an FPGA board (4), a liquid crystal display screen (5), a lithium battery (6), and a power switch (7); the sampling module (1) is composed of a sampling port (8), a sliding cover (9), a microswitch a (10), a sealing cover plate (11), a motor (12), a chip slot (13), a micro-nano colorimetric sensing chip (14), a microswitch b (15), a vacuum pump (16), a frame (23), a gear (24), an airtight hose (25), and a sampling cavity (26). The motor (12) and the gear (24) are respectively fixed on the frame (23). The sealing cover plate (11) and the chip slot (13) are provided on the motor (12). The micro-nano colorimetric sensing chip (14) is embedded in the chip slot (13). The vacuum pump (16) is connected to the sampling cavity (26) through the airtight hose (25). A sampling port (8) is provided at one end of the frame (23); the image acquisition module (2) is composed of a standard white LED ring light source (18), a large target double telecentric lens (19), and a high-speed industrial camera (20). The standard white LED ring light source (18), the large target double telecentric lens (19), and the high-speed industrial camera (20) are fixed on the same axis and fixed at the upper end of the detector; the ARM board (3), the FPGA board (4), and the lithium battery (6) are respectively provided at the lower end of the detector. The FPGA board (4) is arranged above the ARM board (3). A 4G module (21) is provided at one end of the ARM board (3), and an SD card storage area (22) is provided at the other end of the ARM board (3). The lithium battery (6) is controlled by the ARM board (3); a sampling button (17), a liquid crystal display screen (5), and a microswitch a (10) are respectively provided at the upper end of the detector. The liquid crystal display screen (5) is connected to the ARM board (3) through a MIPI interface; the power switch (7) and the sliding cover (9) are respectively provided on the outer shell of the detector; the specific operation is carried out according to the following steps: a. Long press the power switch (7) for 3 s and wait for the explosive atmosphere detector to start; b. Open the sliding cover (9) at the front section of the detector. The microswitch a (10) detects the signal. According to the prompt on the liquid crystal display screen (5) and click the "Yes" icon. The motor (12) rotates the chip slot (13) to the same axis as the image acquisition module (2), tears off the upper protective film of the micro-nano colorimetric sensing chip (14), and inserts the micro-nano colorimetric sensing chip (14) into the chip slot (13). According to the prompt on the liquid crystal display screen (5) and click the "Complete" icon, and close the sliding cover (9); c. Point the sampling port (8) of the detector at the area to be measured and perform suction sampling. The motor (12) in the sampling module (1) rotates the chip card slot (13) to a specific angle through the gear (24) and processes the curved surface and fillet of the sampling cavity (26) in the sampling module (1), so that the airflow carrying the crystal cluster particles stays in the cavity for a longer time. After the sampling is completed, the motor (12) rotates the chip card slot (13) and the micro-nano colorimetric sensing chip (14) to the same axis as the image acquisition module (2). After the micro-switch b (15) detects that the rotation is in place, the image acquisition module (2) performs image acquisition, preprocesses the image data and performs algorithm recognition, and the detection result is displayed on the liquid crystal display screen (5). If no suspicious object is detected, the liquid crystal display screen (5) displays that no dangerous explosive is detected; if a suspicious object is detected, the liquid crystal display screen (5) displays the name of the detected explosive or easily manufacturable explosive raw material. d. The detection result, time, and geographical information are uploaded to the corresponding background server through the 4G module (21).

2. A method for detecting explosives based on the colorimetric array technology according to claim 1, characterized in that in this method, the sampling module (1) is divided into a one-key mode and a semi-automatic mode according to the system settings.

3. A method for detecting explosives based on the colorimetric array technology according to claim 2, characterized in that in the one-key mode, after pressing and releasing the sampling button (17), the vacuum pump (16) performs suction sampling, and the suction sampling time is the default time set by the system.

4. A method for detecting explosives based on the colorimetric array technology according to claim 2, characterized in that in the semi-automatic mode, press and hold the sampling button (17) without releasing it, the vacuum pump (16) performs suction sampling, release the sampling button (17), and the vacuum pump (16) ends the suction sampling. The sampling time can be freely controlled.

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