An impurity monitoring method, device, equipment and medium based on ultraviolet fluorescence

Abstract

The application relates to the field of impurity detection, in particular to an impurity monitoring method and device based on ultraviolet fluorescence, equipment and medium. The method comprises the following steps: acquiring the liquid category of a liquid to be detected, and determining at least two groups of ultraviolet data based on the category for detection, which is highly flexible. Different liquids may have different ultraviolet absorption characteristics, so that a detection scheme customized for a specific liquid category can more accurately reflect the impurity condition in the liquid. In addition, the light-emitting module is designed to be rotatable, the light-emitting angle can be adjusted according to the detection requirement, the liquid can be detected multiple times, multiple sets of detection results can be received and comprehensively judged, the accuracy of impurity detection can be further improved, the possibility of false positives and false negatives can be reduced, the whole process from sample preparation to result output can be completed without manual intervention, and the time cost and error risk caused by manual operation are reduced.

Description

Technical Field

[0001] This application relates to the field of impurity detection, and in particular to an impurity monitoring method, apparatus, equipment and medium based on ultraviolet fluorescence. Background Technology

[0002] Ultraviolet fluorescence method excites molecules in a sample to an excited state using ultraviolet light. The molecules then return to the ground state and emit fluorescence through radiative transitions. Quantitative or qualitative information about the substance can be obtained by measuring the fluorescence intensity and characteristic wavelength.

[0003] The general steps for detection using ultraviolet fluorescence are as follows: Collect the liquid sample to be tested and perform necessary pretreatment, such as filtration and dilution, to remove interfering substances and adjust the sample concentration to a suitable range. Select a suitable ultraviolet fluorescence detector and set the excitation and detection wavelengths according to the characteristics of the impurity. The excitation wavelength should be chosen to effectively excite the impurity molecules to produce fluorescence, while the detection wavelength should be able to accurately capture and measure the fluorescence signal.

[0004] Currently, methods for detecting impurities in liquids using ultraviolet fluorescence technology generally rely on statically set light sources and detection devices. Since the light source and detection unit are fixed in specific positions, it is difficult to flexibly cope with the uneven distribution or dynamic changes of impurities in liquid samples, resulting in a significant uncertainty in the detection results and thus affecting the accuracy of the detection data. Summary of the Invention

[0005] To improve the accuracy of detecting impurities in liquids, this application provides an impurity monitoring method, apparatus, equipment, and medium based on ultraviolet fluorescence.

[0006] Firstly, this application provides a method for impurity monitoring based on ultraviolet fluorescence, employing the following technical solution:

[0007] An impurity monitoring method based on ultraviolet fluorescence, comprising:

[0008] Obtain the liquid category of the liquid to be tested;

[0009] Based on the liquid category corresponding to the liquid to be tested, at least two sets of ultraviolet data corresponding to the liquid to be tested are determined;

[0010] Generate a detection command corresponding to each set of ultraviolet data and send the detection command to the light-emitting module. The detection command includes the light emission time and rotation angle of the light-emitting module.

[0011] Receive the detection results corresponding to each set of detection instructions, and determine whether the detection results meet the result requirements based on the detection results;

[0012] If the test result meets the result requirements, then the test result shall be used as the impurity test result of the liquid to be tested.

[0013] By employing the above technical solution, the liquid category of the liquid to be tested is obtained, and at least two sets of ultraviolet data are determined based on this category for detection, demonstrating a high degree of flexibility. Different liquids may have different absorption characteristics for ultraviolet light; therefore, customizing the detection scheme for specific liquid categories can more accurately reflect the impurities in the liquid. Furthermore, the radiant module is designed to be rotatable, allowing adjustment of the emission angle according to detection needs. Multiple detections of the liquid are performed, receiving multiple sets of results and making a comprehensive judgment, which can further improve the accuracy of impurity detection and reduce the possibility of false alarms and missed alarms. At the same time, the entire process from sample preparation to result output can be completed without manual intervention, reducing the time cost and error risk associated with human operation.

[0014] In one possible implementation, the ultraviolet data includes ultraviolet light wavelengths, and determining at least two sets of ultraviolet data corresponding to the liquid to be detected based on the liquid category includes:

[0015] Obtain the types of impurities corresponding to the liquid type, and determine the absorbable wavelength range corresponding to each type of impurity.

[0016] Based on the absorbable wavelength range, at least two ultraviolet wavelengths corresponding to the liquid to be tested are determined to obtain at least two sets of ultraviolet data corresponding to the liquid to be tested.

[0017] By employing the above technical solution, and by acquiring the types of impurities corresponding to different liquid types and determining their respective absorbable wavelength ranges, ultraviolet (UV) light wavelengths can be selected for highly targeted detection. Different impurities have different absorption characteristics for UV light, possessing specific absorption wavelengths or wavelength ranges. Therefore, selecting a UV light wavelength that matches the absorption characteristics of the target impurity can significantly improve the targeting and accuracy of detection, reducing false detections or missed detections of other non-target impurities. Determining at least two UV light wavelengths for detection based on the absorbable wavelength range means that multiple dimensions of information are considered during the detection process, thus helping to more comprehensively cover the types of impurities that may exist in the liquid and improve detection accuracy. Furthermore, by comparing the detection results at different wavelengths, the presence and type of impurities can be further verified and confirmed.

[0018] In one possible implementation, generating the detection instruction corresponding to each set of ultraviolet data includes:

[0019] Obtain the circumference of the container corresponding to the liquid to be detected and the rotation speed of the light-emitting module;

[0020] The number of tests and the test angle are determined based on the length and width of the container.

[0021] Determine the rotation angle corresponding to each detection angle;

[0022] The timing of light emission by the light-emitting module is determined based on its rotation speed and rotation angle.

[0023] Based on the emission time and rotation angle of the light-emitting module, a detection command corresponding to each set of ultraviolet data is generated.

[0024] By adopting the above technical solution, and determining the number of detections and detection angles based on the container's circumference, it is possible to ensure comprehensive and thorough detection of the liquid within the entire container. This effectively avoids the omission of impurities due to blind spots, thereby improving the accuracy and comprehensiveness of the detection. Furthermore, by determining the rotation angle corresponding to each detection angle and accurately calculating the emission time based on the rotation speed and angle, the light-emitting module can emit ultraviolet light at the most appropriate time and position to excite any impurities in the liquid and generate detectable fluorescence signals. This helps to capture even weaker fluorescence signals, further improving detection accuracy.

[0025] In one possible implementation, determining the rotation angle corresponding to each detection angle includes:

[0026] Obtain the current shape of the light-emitting module and the relative position of the light-emitting module and the container of the liquid to be detected;

[0027] A three-dimensional coordinate system is established based on the relative position of the light-emitting module and the container of the liquid to be detected;

[0028] Based on the current shape of the light-emitting module, determine the corresponding three-dimensional coordinates of each vertex of the light-emitting module;

[0029] Determine the current angle between the light-emitting module and the container of the liquid to be detected;

[0030] Based on each detection angle and the current angle, determine the rotation angle corresponding to each detection angle.

[0031] By adopting the above technical solution, and by obtaining the current shape of the light-emitting module and its relative position to the liquid container to be detected, and establishing a three-dimensional coordinate system based on this, the position of each vertex of the light-emitting module in three-dimensional space can be accurately determined. This allows the actual shape and position of the light-emitting module to be taken into account when calculating the rotation angle corresponding to each detection angle, thus avoiding errors introduced by simplified models or approximate calculations. Furthermore, this ensures the accuracy of the rotation angle, enabling the light-emitting module to accurately point to each predetermined detection angle, improving the accuracy and specificity of the detection. Considering not only the relative position of the light-emitting module to the container but also the current shape of the light-emitting module, it can accurately calculate the rotation angle even in complex environments or containers, such as irregularly shaped containers or those with obstructions. This demonstrates strong adaptability and also improves the robustness and practicality of the detection system.

[0032] In one possible implementation, determining the light-emitting moment of the light-emitting module based on its rotation speed and rotation angle includes:

[0033] Based on the current angle and each detection angle, determine the rotation angle from the current angle to each detection angle;

[0034] Based on the rotation speed and the angle to be rotated, determine the rotation duration corresponding to each rotation angle;

[0035] The arrival time corresponding to each rotation duration is determined as the light emission time corresponding to the light emission module.

[0036] By employing the above technical solution, the rotational angle from the current angle to each detection angle is calculated, and the rotational time corresponding to each rotational angle is determined in conjunction with the rotational speed. This, in turn, determines the emission timing of the light-emitting module, ensuring that the light-emitting module emits ultraviolet light at the correct position and time. This helps reduce detection errors caused by inaccurate emission timing, improving the accuracy and reliability of the detection. When performing continuous detection at multiple detection angles, precise control of the emission timing can also effectively avoid the overlap and interference of fluorescence signals between different detection angles. Each detection angle is excited at its specific emission time, thus ensuring the independence and accuracy of each detection result.

[0037] In one possible implementation, the detection result includes fluorescence intensity and characteristic wavelength. Receiving the detection result corresponding to each set of detection commands, and determining whether the detection result meets the result requirements based on the detection result, includes:

[0038] Obtain the fluorescence intensity range and characteristic wavelength range corresponding to the liquid type;

[0039] Determine the first confidence level corresponding to the fluorescence intensity range and the second confidence level corresponding to the characteristic wavelength range;

[0040] Based on the first confidence level and the fluorescence intensity range, the fluorescence intensity requirement is determined, and based on the characteristic wavelength range and the second confidence level, the characteristic wavelength requirement is determined.

[0041] Determine whether the fluorescence intensity meets the fluorescence intensity requirement, and determine whether the characteristic wavelength meets the characteristic wavelength requirement, so as to determine whether the detection result meets the result requirement.

[0042] By adopting the above technical solution, not only is fluorescence intensity, a key indicator, considered, but also characteristic wavelength is introduced as an evaluation standard. Fluorescence intensity and characteristic wavelength are two different responses of a substance under ultraviolet light irradiation, and they together reflect the properties and state of the substance. By simultaneously evaluating these two indicators, a more comprehensive understanding of the properties of the liquid being tested can be obtained, thereby improving the accuracy of the detection. When determining the requirements for fluorescence intensity and characteristic wavelength, the corresponding confidence level is also considered. The confidence level reflects the reliability and credibility of the evaluation results. By introducing the concept of confidence level, the detection results can be evaluated more precisely and scientifically, reducing the possibility of misjudgment and missed detection, and further improving the reliability of the detection.

[0043] In one possible implementation, when the detection result does not meet the result requirement, the method further includes:

[0044] Determine the infrared data corresponding to the liquid to be detected, wherein the infrared data includes the infrared light wavelength;

[0045] Control the light-emitting module to send infrared light of the specified infrared wavelength;

[0046] Receive the infrared detection result corresponding to the infrared light;

[0047] Based on the infrared detection results and the detection results corresponding to each set of detection commands, the impurity detection results of the liquid to be detected are determined.

[0048] By adopting the above technical solution, when the ultraviolet detection results do not meet the requirements, infrared data is introduced for supplementary detection, achieving comprehensive multispectral analysis. Because ultraviolet and infrared light have different physical properties and penetrating abilities, they can reveal the absorption, reflection, or emission characteristics of substances at different wavelengths. Therefore, by combining ultraviolet and infrared detection results, a more comprehensive understanding of the composition and properties of the liquid being tested can be obtained, improving the accuracy of the detection.

[0049] Secondly, this application provides an impurity monitoring device based on ultraviolet fluorescence, which adopts the following technical solution:

[0050] An impurity monitoring device based on ultraviolet fluorescence, comprising:

[0051] The acquisition module is used to acquire the liquid category of the liquid to be detected;

[0052] The determination module is used to determine at least two sets of ultraviolet data corresponding to the liquid to be detected based on the liquid category corresponding to the liquid to be detected;

[0053] The generation module is used to generate a detection instruction corresponding to each set of ultraviolet data and send the detection instruction to the light emission module. The detection instruction includes the light emission time and rotation duration of the light emission module.

[0054] The receiving module is used to receive the detection results corresponding to each group of detection instructions, and determine whether the detection results meet the result requirements based on the detection results;

[0055] As a module, if the detection result meets the result requirements, the detection result is used as the impurity detection result of the liquid to be tested.

[0056] In one possible implementation, when the determining module determines at least two sets of ultraviolet data corresponding to the liquid to be detected based on the liquid category, it is specifically used for:

[0057] Obtain the types of impurities corresponding to the liquid type, and determine the absorbable wavelength range corresponding to each type of impurity.

[0058] Based on the absorbable wavelength range, at least two ultraviolet wavelengths corresponding to the liquid to be tested are determined to obtain at least two sets of ultraviolet data corresponding to the liquid to be tested.

[0059] Thirdly, this application provides an electronic device that adopts the following technical solution:

[0060] An electronic device comprising:

[0061] At least one processor;

[0062] Memory;

[0063] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform the ultraviolet fluorescence-based impurity monitoring method described in the first aspect above.

[0064] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0065] A computer-readable storage medium includes: a computer program stored thereon that can be loaded by a processor and execute the ultraviolet fluorescence-based impurity monitoring method described in the first aspect above.

[0066] In summary, this application includes the following beneficial technical effects:

[0067] By acquiring the liquid category of the liquid to be tested and determining at least two sets of UV data based on that category for detection, a high degree of flexibility is demonstrated. Different liquids may have different absorption characteristics for UV light; therefore, customizing the detection scheme for specific liquid categories can more accurately reflect the impurities in the liquid. Furthermore, the radiant module is designed to be rotatable, allowing adjustment of the emission angle according to detection needs. Multiple tests can be performed on the liquid, receiving multiple sets of results and making a comprehensive judgment, which can further improve the accuracy of impurity detection and reduce the possibility of false alarms and missed alarms. At the same time, the entire process from sample preparation to result output can be completed without manual intervention, reducing the time cost and error risk associated with human operation. Attached Figure Description

[0068] Figure 1 This is a schematic diagram illustrating the connection and interaction between an impurity monitoring device and an electronic device provided in an embodiment of this application;

[0069] Figure 2 This is a schematic flowchart of an impurity monitoring method based on ultraviolet fluorescence provided in an embodiment of this application;

[0070] Figure 3 This is a block diagram of an impurity monitoring device based on ultraviolet fluorescence provided in an embodiment of this application;

[0071] Figure 4 This is a schematic diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0072] The following is in conjunction with the appendix Figure 1-4 This application will be described in further detail.

[0073] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0074] Ultraviolet (UV) fluorescence excitation works by exciting molecules in a sample with ultraviolet light, causing them to enter an excited state. These molecules then undergo radiative transitions to return to their ground state and emit fluorescence. Quantitative or qualitative information about the substance can be obtained by measuring the fluorescence intensity and characteristic wavelengths. The general steps for UV fluorescence detection are as follows: Collect the liquid sample to be tested and perform necessary pretreatment, such as filtration and dilution, to remove interfering substances and adjust the sample concentration to a suitable range. Select a suitable UV fluorescence detector and set the excitation and detection wavelengths according to the characteristics of the impurity. The excitation wavelength should effectively excite the impurity molecules to produce fluorescence, while the detection wavelength should accurately capture and measure the fluorescence signal. Currently, methods for detecting impurities in liquids using UV fluorescence technology generally rely on statically set light sources and detection devices. Because the light source and detection unit are fixed in a specific location, it is difficult to flexibly respond to the uneven distribution or dynamic changes of impurities in the liquid sample, resulting in significant uncertainties in the detection results and affecting the accuracy of the detection data.

[0075] In view of this, embodiments of this application provide an impurity monitoring method based on ultraviolet fluorescence, see [link to relevant documentation]. Figure 1 The impurity monitoring device 10 in the figure includes a light-emitting module 101 and a detection module 102. The impurity monitoring module is connected to an electronic device. The light-emitting module 101 is a rotatable module. The electronic device can control the light-emitting module 101 to rotate and also control the light-emitting module 101 to emit light. At the same time, the electronic device can control the detection module 102 to detect the fluorescence generated by the liquid to be tested and receive the detection results sent by the detection module.

[0076] This application provides an impurity monitoring method based on ultraviolet fluorescence, such as... Figure 2 As shown, the method provided in this application embodiment is executed by an electronic device, which can be a server or a terminal device. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication. This application embodiment does not impose any limitations on this connection. The method includes steps S201-S205, wherein:

[0077] Step S201: Obtain the liquid category of the liquid to be detected.

[0078] The liquid types include drinking water, industrial wastewater, and cosmetic solutions. Since different liquid types may contain different impurities, the liquid type corresponding to the liquid to be tested can be determined. Specifically, when the operator places the liquid to be tested on the impurity detection device, they input the liquid's number. The electronic device receives the liquid's number and obtains the corresponding liquid type.

[0079] Step S202: Based on the liquid category corresponding to the liquid to be tested, determine at least two sets of ultraviolet data corresponding to the liquid to be tested.

[0080] Each liquid to be tested is assigned a number, and each number corresponds to a liquid information, which includes the liquid category and at least two impurity types. A first database is established based on the number of each liquid to be tested and the liquid information corresponding to each number, and a second database is established based on the ultraviolet detection wavelength corresponding to each impurity type.

[0081] The ultraviolet data includes ultraviolet detection wavelengths.

[0082] Specifically, based on the liquid category, the possible impurity types corresponding to the liquid category are obtained from the first database, and the corresponding ultraviolet detection wavelengths are obtained from the second database based on the impurity type. Each impurity type is used as a set of ultraviolet data to obtain at least two sets of ultraviolet data for the liquid to be tested.

[0083] Step S203: Generate the detection command corresponding to each set of ultraviolet data and send the detection command to the luminescence module.

[0084] The detection instructions include the light emission time and rotation angle of the light-emitting module.

[0085] Since the light-emitting module is rotatable, a preset number of detections and the detection angle corresponding to each detection can be obtained. Specifically, the light-emitting duration and rotational speed corresponding to each detection of the light-emitting module are obtained. The first angle between the line formed by the two key points of the light-emitting module and the horizontal line, and the second angle between the light-emitting module and the vertical line are also obtained. The required rotation angle from the first and second angles to the detection angle is determined as the rotation angle. Based on the rotation angle, light-emitting duration, and rotational speed, the light-emitting moment of the light-emitting module is calculated. The rotational speed is the time required for the light-emitting module to move one degree.

[0086] More specifically, the process of determining the rotation angle can be as follows: obtain the order of the detection angles, and according to this order, and based on the angles of the first detection angle in the horizontal and vertical directions, determine the first rotation angle required to move the first angle to the angle in the horizontal direction, and determine the second rotation angle required to move the second angle to the angle in the vertical direction. The sum of the first and second rotation angles is the rotation angle required for the light-emitting module to move from its current position to the first detection angle; and determine the rotation angle required to move from the first detection angle to the second detection angle, and so on, to obtain the rotation angle required to rotate from the first and second angles to the last detection angle, which is used as the rotation angle.

[0087] The process of calculating the emission time of the light-emitting module can be as follows: based on the angle of rotation required to move from the current position to the first detection angle and the rotation speed, the first emission time corresponding to the first detection angle is obtained. Based on the emission duration of the light-emitting module and the angle of rotation required to move from the first detection angle to the second detection angle and the rotation speed, the second emission time corresponding to the second detection angle is obtained. And so on, to obtain the emission time corresponding to each detection angle.

[0088] Furthermore, a detection command containing the emission time and rotation angle is generated and sent to the emission module to control the rotation and emission operation of the emission module. The detection command may also include an ultraviolet detection wavelength to control the emission module to emit light according to the ultraviolet detection wavelength.

[0089] Step S204: Receive the detection results corresponding to each group of detection instructions, and determine whether the detection results meet the result requirements based on the detection results.

[0090] The light-emitting module performs light emission and rotation operations according to the detection instructions. The detection module (such as a photoelectric sensor, spectrometer, etc.) receives and records the fluorescence signal generated by the liquid under ultraviolet light excitation, and sends the fluorescence signal to the electronic device. The electronic device converts the received fluorescence signal into digital data and compares it with preset threshold or standard data to determine whether impurities exist and their content.

[0091] Step S205: If the test result meets the result requirements, the test result shall be used as the impurity test result of the liquid to be tested.

[0092] Analyze all test results to see if they meet preset requirements (e.g., impurity content below a certain value, specific impurities not detected, etc.). If all test results meet the requirements, the final test result is output as the impurity detection result for the liquid being tested. If the requirements are not met, an impurity alarm message is generated.

[0093] This application provides an impurity monitoring method based on ultraviolet fluorescence, the specific effects of which are described here.

[0094] In one possible implementation of this application embodiment, in step S202 above, when the ultraviolet data includes ultraviolet light wavelengths, at least two sets of ultraviolet data corresponding to the liquid to be detected are determined based on the liquid category corresponding to the liquid to be detected. Specifically, this may include:

[0095] Obtain the types of impurities corresponding to the liquid type, and determine the absorbable wavelength range for each type of impurity.

[0096] Based on the absorbable wavelength range, at least two ultraviolet wavelengths corresponding to the liquid to be tested are determined to obtain at least two sets of ultraviolet data corresponding to the liquid to be tested.

[0097] The second database includes the absorbable wavelength range for each miscellaneous type.

[0098] Specifically, based on the liquid category, the possible impurity types corresponding to that liquid category are obtained from the first database, and the corresponding absorbable wavelength range is obtained from the second database based on the impurity type.

[0099] Furthermore, based on the absorbable wavelength range of each impurity type, at least two ultraviolet wavelengths that can cover these ranges or target specific key impurities are selected. These wavelengths should be able to excite impurity molecules and generate detectable fluorescence signals. The selected ultraviolet wavelengths are combined with corresponding detection parameters (such as detection time, luminescence intensity, etc.) to form at least two sets of ultraviolet data to guide subsequent operation of the luminescence module and the detection process.

[0100] One possible implementation of this application's embodiments, in the above embodiments, involves generating detection instructions corresponding to each set of ultraviolet data, which may specifically include:

[0101] Obtain the circumference of the container corresponding to the liquid to be detected and the rotation speed of the light-emitting module;

[0102] Determine the number of tests and the test angle based on the container's length and width;

[0103] Determine the rotation angle corresponding to each detection angle;

[0104] The timing of light emission is determined based on the rotation speed and rotation angle of the light-emitting module.

[0105] Based on the emission time and rotation angle of the light-emitting module, a detection command corresponding to each set of ultraviolet data is generated.

[0106] The rotational speed is the time required for the light-emitting module to move one degree. The container perimeter is the circumference of the container's cross-section, that is, the circumference of the cross-section horizontal with respect to the liquid surface.

[0107] Specifically, the system receives the container model of the liquid container to be tested, entered by the staff, and retrieves the basic data corresponding to that model. The container circumference is then calculated based on this basic data. This basic data includes the container's cross-sectional shape and the corresponding length data. The length data can be the diameter of a circle or the length and width of a rectangle. More specifically, based on the circumference of the liquid container, the system determines the circumference range to which it belongs and obtains the number of tests corresponding to that range. This number is used as the number of tests for the liquid to be tested. The system also obtains the detection angle corresponding to that range to obtain the total number of tests and detection angles for the liquid to be tested. One circumference range corresponds to one number of tests and one detection angle. For example, if the circumference range is (10cm, 15cm), and the required number of tests is 3, then the range corresponds to 3 tests.

[0108] Further, after obtaining the number of detections and the detection angle corresponding to the liquid to be tested, the first angle between the line formed by the two key points of the light-emitting module and the horizontal line, and the second angle between the light-emitting module and the vertical line are obtained. The required rotation angle from the first angle and the second angle to the detection angle is determined as the rotation angle. Specifically, the order of the detection angles can be obtained, and according to this order, and based on the first detection angle in the horizontal direction and the first detection angle in the vertical direction, the first rotation angle required to move the first angle to the first detection angle in the horizontal direction is determined, and the second rotation angle required to move the second angle to the first detection angle in the vertical direction is determined. The sum of the first rotation angle and the second rotation angle is the rotation angle required for the light-emitting module to move from the current position to the first detection angle; and the rotation angle required to move from the first detection angle to the second detection angle is determined, and so on, to obtain the required rotation angle from the first angle and the second angle to the last detection angle, which is used as the rotation angle.

[0109] Furthermore, after obtaining the rotation angle corresponding to each detection angle, the light emission duration corresponding to the light emission module can be obtained. Based on the rotation angle and rotation speed required to move from the current position to the first detection angle, the first light emission moment corresponding to the first detection angle can be obtained. Based on the light emission duration of the light emission module and the rotation angle and rotation speed required to move from the first detection angle to the second detection angle, the second light emission moment corresponding to the second detection angle can be obtained. And so on, to obtain the light emission moment corresponding to each detection angle.

[0110] Furthermore, after obtaining the emission time and rotation angle of the light-emitting module, a detection command containing the emission time and rotation angle can be generated and sent to the light-emitting module to control its rotation and emission operation. At the same time, the detection command can also include the ultraviolet detection wavelength to control the light-emitting module to emit light according to the ultraviolet detection wavelength.

[0111] One possible implementation of this application's embodiments, in the above embodiments, determining the rotation angle corresponding to each detection angle, may specifically include:

[0112] Obtain the current shape of the light-emitting module and the relative position of the light-emitting module to the container of the liquid to be detected;

[0113] A three-dimensional coordinate system is established based on the relative position of the light-emitting module and the container of the liquid to be detected;

[0114] Based on the current shape of the light-emitting module, determine the corresponding three-dimensional coordinates of each vertex of the light-emitting module;

[0115] Determine the current angle between the light-emitting module and the container of the liquid to be detected;

[0116] Based on each detection angle and the current angle, determine the rotation angle corresponding to each detection angle.

[0117] After detecting one liquid, the light-emitting module returns to its preset initial position and maintains its preset initial shape. When detecting the next liquid, the light-emitting module rotates from its preset initial position to move to the position corresponding to the detection angle. Therefore, the preset initial position and preset initial shape of the light-emitting module can be obtained, as well as the position of the container of the liquid to be detected. Based on the initial position of the light-emitting module and the position of the container, the relative position between the light-emitting module and the container of the liquid to be detected can be determined.

[0118] Furthermore, a three-dimensional coordinate system is established based on the relative position of the light-emitting module and the container. Specifically, the center point of the container is taken as the origin, the length direction of the container is taken as the X-axis of the coordinate system, the width direction of the container is taken as the Y-axis of the coordinate system, and the height direction of the container is taken as the Z-axis of the coordinate system. The three-dimensional coordinate system is established using 3D modeling software.

[0119] Based on the current shape and size of the light-emitting module, and its relative position in the three-dimensional coordinate system, determine the specific positions of each vertex (or key point) of the light-emitting module in the three-dimensional coordinate system. Specifically, vertex coordinates can be calculated directly based on the shape and size of the light-emitting module; similarly, vertex coordinates can be calculated based on the shape and size of the container. Further, the first center coordinates of the center points corresponding to each vertex can be determined, and the second center coordinates of the center points corresponding to each vertex of the container can be determined. Connecting the first and second center coordinates yields a connecting line, and the angle of this connecting line relative to each coordinate axis is determined to obtain the current angle.

[0120] Furthermore, based on the preset detection angle and the current angle between the light-emitting module and the container, the rotation angle corresponding to each detection angle is calculated. This rotation angle refers to the angle required for the light-emitting module to rotate from its current position to illuminate the specified detection angle position. Specifically, for each detection angle, the difference between it and the current angle is calculated to obtain the required rotation angle. If the light-emitting module needs to rotate around multiple axes (such as simultaneously around the X-axis and Y-axis), the rotation angle on each axis needs to be calculated separately and then combined.

[0121] One possible implementation of this application embodiment is that, in the above embodiment, the light-emitting moment of the light-emitting module is determined based on the rotation speed and rotation angle of the light-emitting module, which may specifically include:

[0122] Based on the current angle and each detection angle, determine the rotation angle from the current angle to each detection angle;

[0123] Based on the rotation speed and the angle to be rotated, determine the rotation time corresponding to each rotation angle;

[0124] Determine the arrival time corresponding to each rotation duration, and use it as the light emission time of the corresponding light-emitting module.

[0125] Specifically, based on the current angle of the light-emitting module and each preset detection angle, the required rotation angle from the current angle to each detection angle is calculated. All detection angles are iterated over, and for each detection angle, the difference between it and the current angle is calculated (note the sign, i.e., clockwise or counterclockwise rotation). The resulting difference is the required rotation angle from the current angle to that detection angle.

[0126] Furthermore, based on the rotation speed of the light-emitting module and each rotation angle to be rotated, the rotation time corresponding to each rotation angle is calculated. This rotation time is the time required for the light-emitting module to rotate from its current position to the specified detection angle. Specifically, the rotation time corresponding to each rotation angle is calculated using the formula "rotation time = angle to be rotated / rotation speed".

[0127] Furthermore, based on each rotation duration and the starting rotation time of the light-emitting module (which can be assumed to be 0 or some known time), the arrival time corresponding to each rotation duration is determined. This arrival time is the time when the light-emitting module should emit light when it rotates to the specified detection angle. Specifically, for each rotation duration, it is added to the starting rotation time to obtain the corresponding arrival time. If the starting rotation time is not 0, the exact value of the starting rotation time needs to be determined first, and the obtained arrival time is used as the light-emitting time of the light-emitting module.

[0128] One possible implementation of this application's embodiments, in the above embodiments, when the detection result includes fluorescence intensity and characteristic wavelength, receives the detection result corresponding to each set of detection instructions, and determines whether the detection result meets the result requirements based on the detection result. Specifically, this may include:

[0129] Obtain the fluorescence intensity range and characteristic wavelength range corresponding to the liquid type;

[0130] Determine the first confidence level corresponding to the fluorescence intensity range and the second confidence level corresponding to the characteristic wavelength range;

[0131] Based on the first confidence level and the fluorescence intensity range, the fluorescence intensity requirement is determined, and based on the characteristic wavelength range and the second confidence level, the characteristic wavelength requirement is determined.

[0132] Determine whether the fluorescence intensity meets the fluorescence intensity requirement and whether the characteristic wavelength meets the characteristic wavelength requirement, in order to determine whether the detection result meets the result requirement.

[0133] The second database includes the fluorescence intensity range and characteristic wavelength range for each impurity type. The fluorescence intensity range refers to the range of fluorescence intensity emitted by an impurity when it returns to the ground state through radiative transitions from an excited state.

[0134] Specifically, based on the liquid category, the possible impurity types corresponding to the liquid category are obtained from the first database, and based on the impurity types, the fluorescence intensity range and characteristic wavelength range corresponding to the possible impurity types corresponding to the liquid category of the liquid to be tested are obtained from the second database.

[0135] Furthermore, based on experimental requirements or industry standards, a confidence level is assigned to each range (fluorescence intensity range and characteristic wavelength range). Each confidence level reflects the degree of confidence in the accuracy of that range, and based on these confidence levels, the fluorescence intensity requirements and characteristic wavelength requirements are adjusted or set. Specifically, a first confidence level and a second confidence level are set for the fluorescence intensity range and the characteristic wavelength range, respectively. The fluorescence intensity requirements and characteristic wavelength requirements are flexibly adjusted according to the confidence levels and the actual ranges. For example, if the confidence level is high, the range can be used directly as the requirement; if the confidence level is low, the required range can be appropriately relaxed or tightened. The confidence level can be a percentage, a grade, or other quantitative indicator.

[0136] Furthermore, the actual detected fluorescence intensity and characteristic wavelength are compared with the previously set fluorescence intensity and characteristic wavelength requirements to determine whether the detection results meet the requirements. The detected fluorescence intensity is compared with the required fluorescence intensity to check if it is within the required range. Simultaneously, the detected characteristic wavelength is compared with the required characteristic wavelength to check if it is also within the required range. If both the fluorescence intensity and characteristic wavelength meet their respective requirements, the detection results are deemed to meet the requirements; otherwise, they are deemed not to meet the requirements.

[0137] Based on the comparison results, output information indicating whether the test results meet the requirements. If the test results meet the requirements, output "Test results meet the standard" or similar information; if the requirements do not meet the requirements, generate an impurity alarm message.

[0138] One possible implementation of this application embodiment, when the detection result does not meet the result requirements, may further include:

[0139] Determine the infrared data corresponding to the liquid to be tested. The infrared data includes the infrared light wavelength.

[0140] Control the light-emitting module to send infrared light of the infrared wavelength;

[0141] Receive the infrared detection results corresponding to the infrared light;

[0142] Based on the infrared detection results and the detection results corresponding to each set of detection commands, the impurity detection results of the liquid to be detected are determined.

[0143] The second database includes the infrared wavelength range corresponding to each miscellaneous type.

[0144] When the fluorescence detection results do not meet the requirements, it indicates the possible presence of impurities or other factors affecting the fluorescence properties. In this case, infrared data of the liquid to be tested can be further obtained for infrared spectral analysis. Specifically, based on the type of liquid to be tested and possible impurity components, the infrared wavelength range or specific wavelength corresponding to the liquid type is retrieved from a second database. The light-emitting module capable of emitting infrared light is then controlled to emit infrared light of the corresponding wavelength according to the determined infrared wavelength.

[0145] When infrared light shines on a liquid to be tested, it is absorbed, scattered, or transmitted by the molecules in the liquid, forming a specific infrared spectrum. This spectral data is received and recorded by detection equipment such as an infrared spectrometer. Therefore, the infrared detection results can be compared and analyzed with the infrared spectral characteristics of known impurities to determine whether a specific impurity exists in the liquid, as well as the type and amount of that impurity. Specifically,

[0146] The recorded spectral data is processed using infrared spectroscopy analysis software, including preprocessing steps such as noise reduction and baseline correction. The processed spectral data is then compared with a known impurity infrared spectral library to identify matching characteristic peaks or spectral modes. Based on the matching results, the presence, type, and relative content of impurities in the liquid to be tested are determined. The impurity detection results are presented in a data table, including information such as impurity type, content, and detection time.

[0147] The above embodiments describe an impurity monitoring method based on ultraviolet fluorescence from the perspective of method flow. The following embodiments describe an impurity monitoring device based on ultraviolet fluorescence from the perspective of virtual modules or virtual units. For details, please refer to the following embodiments.

[0148] See Figure 3 The impurity monitoring device 30 based on ultraviolet fluorescence may specifically include: an acquisition module 301, a determination module 302, a generation module 303, a receiving module 304, and a control module 305, specifically:

[0149] An impurity monitoring device 30 based on ultraviolet fluorescence includes:

[0150] The acquisition module 301 is used to acquire the liquid category of the liquid to be detected;

[0151] The determination module 302 is used to determine at least two sets of ultraviolet data corresponding to the liquid to be detected based on the liquid category corresponding to the liquid to be detected;

[0152] The generation module 303 is used to generate detection instructions corresponding to each set of ultraviolet data and send the detection instructions to the light emission module. The detection instructions include the light emission time and rotation duration of the light emission module.

[0153] The receiving module 304 is used to receive the detection results corresponding to each group of detection instructions, and determine whether the detection results meet the result requirements based on the detection results;

[0154] As module 305, if the detection result meets the result requirements, the detection result is used as the impurity detection result of the liquid to be tested.

[0155] In one possible implementation of this application embodiment, when determining at least two sets of ultraviolet data corresponding to the liquid to be detected based on the liquid category, the determining module 302 is specifically used for:

[0156] Obtain the types of impurities corresponding to the liquid type, and determine the absorbable wavelength range for each type of impurity.

[0157] Based on the absorbable wavelength range, at least two ultraviolet wavelengths corresponding to the liquid to be tested are determined to obtain at least two sets of ultraviolet data corresponding to the liquid to be tested.

[0158] In one possible implementation of this application embodiment, when generating the detection instruction corresponding to each set of ultraviolet data, the generation module 303 is specifically used for:

[0159] Obtain the circumference of the container corresponding to the liquid to be detected and the rotation speed of the light-emitting module;

[0160] Determine the number of tests and the test angle based on the container's length and width;

[0161] Determine the rotation angle corresponding to each detection angle;

[0162] The timing of light emission is determined based on the rotation speed and rotation angle of the light-emitting module.

[0163] Based on the emission time and rotation angle of the light-emitting module, a detection command corresponding to each set of ultraviolet data is generated.

[0164] In one possible implementation of this application embodiment, when determining the rotation angle corresponding to each detection angle, the generation module 303 is specifically used for:

[0165] Obtain the current shape of the light-emitting module and the relative position of the light-emitting module to the container of the liquid to be detected;

[0166] A three-dimensional coordinate system is established based on the relative position of the light-emitting module and the container of the liquid to be detected;

[0167] Based on the current shape of the light-emitting module, determine the corresponding three-dimensional coordinates of each vertex of the light-emitting module;

[0168] Determine the current angle between the light-emitting module and the container of the liquid to be detected;

[0169] Based on each detection angle and the current angle, determine the rotation angle corresponding to each detection angle.

[0170] In one possible implementation of this application embodiment, when the generation module 303 determines the light-emitting moment of the light-emitting module based on the rotation speed and rotation angle of the light-emitting module, it is specifically used for:

[0171] Based on the current angle and each detection angle, determine the rotation angle from the current angle to each detection angle;

[0172] Based on the rotation speed and the angle to be rotated, determine the rotation time corresponding to each rotation angle;

[0173] Determine the arrival time corresponding to each rotation duration, and use it as the light emission time of the corresponding light-emitting module.

[0174] In one possible implementation of this application embodiment, the detection result includes fluorescence intensity and characteristic wavelength. When the receiving module 304 receives the detection result corresponding to each group of detection commands and determines whether the detection result meets the result requirements based on the detection result, it can specifically be used for:

[0175] Obtain the fluorescence intensity range and characteristic wavelength range corresponding to the liquid type;

[0176] Determine the first confidence level corresponding to the fluorescence intensity range and the second confidence level corresponding to the characteristic wavelength range;

[0177] Based on the first confidence level and the fluorescence intensity range, the fluorescence intensity requirement is determined, and based on the characteristic wavelength range and the second confidence level, the characteristic wavelength requirement is determined.

[0178] Determine whether the fluorescence intensity meets the fluorescence intensity requirement and whether the characteristic wavelength meets the characteristic wavelength requirement, in order to determine whether the detection result meets the result requirement.

[0179] In one possible implementation of this application embodiment, when the detection result does not meet the result requirements, the impurity monitoring device 30 based on ultraviolet fluorescence may further include:

[0180] The first determining module is used to determine the infrared data corresponding to the liquid to be detected, including the infrared light wavelength.

[0181] The control module is used to control the light-emitting module to emit infrared light of the infrared wavelength.

[0182] The first receiving module is used to receive the infrared detection result corresponding to the infrared light;

[0183] The second determining module is used to determine the impurity detection result of the liquid to be detected based on the infrared detection result and the detection result corresponding to each set of detection instructions.

[0184] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0185] See Figure 4 This application also describes an electronic device from the perspective of a physical device, such as... Figure 4 As shown, Figure 4 The illustrated electronic device 40 includes a processor 401 and a memory 403. The processor 401 and the memory 403 are connected, for example, via a bus 402. Optionally, the electronic device 40 may also include a transceiver 404. It should be noted that in practical applications, the transceiver 404 is not limited to one type, and the structure of this electronic device 40 does not constitute a limitation on the embodiments of this application.

[0186] Processor 401 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 401 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0187] Bus 402 may include a pathway for transmitting information between the aforementioned components. Bus 402 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 402 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0188] The memory 403 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0189] The memory 403 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 401. The processor 401 is used to execute the application code stored in the memory 403 to implement the content shown in the foregoing method embodiments.

[0190] Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers, and can also be servers, etc. Figure 4 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0191] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0192] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0193] The above are only some embodiments of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for monitoring impurities based on ultraviolet fluorescence, characterized by, The method is applied to an impurity monitoring device, the impurity monitoring device comprising a light-emitting module, the light-emitting module being a rotatable module, the method comprising: acquiring a liquid category of a liquid to be detected; determining at least two groups of ultraviolet data corresponding to the liquid to be detected based on the liquid category corresponding to the liquid to be detected; generating a detection instruction corresponding to each group of the ultraviolet data, and sending the detection instruction to the light-emitting module, the detection instruction comprising a light-emitting time point of the light-emitting module and a rotation angle; receiving a detection result corresponding to each group of the detection instruction, and determining whether the detection result meets a result requirement based on the detection result; if the detection result meets the result requirement, taking the detection result as an impurity detection result of the liquid to be detected, the ultraviolet data comprising an ultraviolet light wavelength, the determining at least two groups of ultraviolet data corresponding to the liquid to be detected based on the liquid category corresponding to the liquid to be detected comprising: acquiring each impurity category corresponding to the liquid type, and determining an absorbable wavelength range corresponding to each of the impurity categories; determining at least two ultraviolet light wavelengths corresponding to the liquid to be detected based on the absorbable wavelength range, to obtain at least two groups of ultraviolet data corresponding to the liquid to be detected, the detection result comprising a fluorescence intensity and a characteristic wavelength, the receiving a detection result corresponding to each group of the detection instruction, and determining whether the detection result meets a result requirement based on the detection result comprising: acquiring a fluorescence intensity range and a characteristic wavelength range corresponding to the liquid type; determining a first confidence degree corresponding to the fluorescence intensity range and a second confidence degree corresponding to the characteristic wavelength range; determining a fluorescence intensity requirement based on the first confidence degree and the fluorescence intensity range, and determining a characteristic wavelength requirement based on the second confidence degree and the characteristic wavelength range; determining whether the fluorescence intensity meets the fluorescence intensity requirement, and determining whether the characteristic wavelength meets the characteristic wavelength requirement, to determine whether the detection result meets the result requirement.

2. The ultraviolet fluorescence-based impurity monitoring method according to claim 1, characterized by, the generating a detection instruction corresponding to each group of the ultraviolet data comprising: acquiring a container circumference of a container corresponding to the liquid to be detected and a rotation speed of the light-emitting module; determining a detection frequency and a detection angle based on the container length and the container width; determining a rotation angle corresponding to each detection angle; determining a light-emitting time point of the light-emitting module based on the rotation speed of the light-emitting module and the rotation angle; generating a detection instruction corresponding to each group of the ultraviolet data based on the light-emitting time point of the light-emitting module and the rotation angle.

3. The ultraviolet fluorescence-based impurity monitoring method according to claim 2, characterized by, the determining a rotation angle corresponding to each detection angle comprising: acquiring a current state of the light-emitting module and a relative position between the light-emitting module and the container of the liquid to be detected; establishing a three-dimensional coordinate system based on the relative position between the light-emitting module and the container of the liquid to be detected; determining a three-dimensional coordinate corresponding to each vertex of the light-emitting module based on the current state of the light-emitting module; determining a current angle between the light-emitting module and the container of the liquid to be detected; Determine a rotation angle corresponding to each detection angle based on each detection angle and the current angle.

4. The ultraviolet fluorescence-based impurity monitoring method according to claim 3, characterized by, The determination of the light-emitting time of the light-emitting module based on the rotation speed and the rotation angle of the light-emitting module comprises: Determine a rotation angle corresponding to each detection angle based on each detection angle and the current angle. Determine a rotation angle corresponding to each detection angle based on each detection angle and the current angle. Determine a rotation angle corresponding to each detection angle based on each detection angle and the current angle.

5. The ultraviolet fluorescence-based impurity monitoring method according to claim 1, characterized by, When the detection result does not meet the result requirement, the method further comprises: Determine the infrared data corresponding to the liquid to be detected, the infrared data comprising an infrared light wavelength; Control the light-emitting module to send infrared light of the infrared light wavelength; Receive the infrared detection result corresponding to the infrared light; Determine the impurity detection result of the liquid to be detected based on the infrared detection result and the detection result corresponding to each group of detection instructions.

6. An ultraviolet fluorescence-based impurity monitoring device, characterized by, Comprise: An acquisition module for acquiring the liquid category of the liquid to be detected; A determination module for determining at least two groups of ultraviolet data corresponding to the liquid to be detected based on the liquid category corresponding to the liquid to be detected; A generation module for generating detection instructions corresponding to each group of ultraviolet data and sending the detection instructions to the light-emitting module, the detection instructions comprising the light-emitting time and the rotation time of the light-emitting module; A receiving module for receiving the detection result corresponding to each group of detection instructions and determining whether the detection result meets the result requirement based on the detection result; A determination module for determining the impurity detection result of the liquid to be detected based on the detection result corresponding to each group of detection instructions.

7. An electronic device, comprising: The electronic device comprises: At least one processor; Memory; At least one application program, wherein the at least one application program is stored in the memory and is configured to be executed by the at least one processor, and the at least one application program is configured to execute the impurity monitoring method based on ultraviolet fluorescence according to any one of claims 1-5.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, When the computer program is executed in the computer, the computer executes the impurity monitoring method based on ultraviolet fluorescence according to any one of claims 1-5.

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