Acousto-optic-electric nuclear pollution comprehensive monitoring internet-of-things device based on artificial intelligence and monitoring method

Abstract

The invention relates to an artificial intelligence-based acousto-optic-electric nuclear pollution comprehensive monitoring Internet of Things device, which comprises an equipment main body, a mounting box is fixedly connected to the upper surface of the equipment main body, a soot blowing assembly is arranged in the mounting box, and a bottom plate is fixedly connected to the lower surface of the equipment main body. A fan is fixedly connected to the upper surface of the bottom plate, the air outlet end of the fan communicates with a soot blowing assembly, and the soot blowing assembly blows the surface of the equipment body. According to the monitoring device, air is supplied to the soot blowing assembly through the fan, air is blown to the surface of the equipment main body through the soot blowing assembly, dust attached to the surface of the equipment main body is cleaned, the situation that multiple sensors cannot work normally due to excessive dust is prevented, and manual regular cleaning of the monitoring device is not needed; the problem that in the prior art, regular cleaning of equipment needs to consume a large amount of labor is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring equipment, and in particular to an artificial intelligence-based acoustic, optical, and electrical nuclear pollution comprehensive monitoring Internet of Things device and a monitoring method. Background Art

[0002] With the rapid development of industrialization and urbanization, various types of pollution sources such as light pollution, sound pollution, electromagnetic wave pollution and nuclear radiation pollution have had significant negative impacts on human health and life. The following is a summary of the impacts of these pollution sources: Light pollution: Excessive or inappropriate light can cause eye fatigue, decreased vision, and even eye diseases such as macular degeneration. Strong light at night interferes with the body's melatonin secretion, affects the biological clock, and causes sleep problems and mood swings. Strong light reflected from glass curtain walls in cities may increase the risk of traffic accidents. Short-wave blue light (below 450nm) is particularly harmful to the eyes, and exposure at night may cause difficulty falling asleep. Sound pollution: Long-term exposure to high-noise environments may cause hearing loss, tinnitus, deafness, as well as cardiovascular diseases and a series of mental and psychological problems. Electromagnetic wave pollution: Long-term exposure to high-energy electromagnetic waves may interfere with the nervous system, causing headaches, fatigue, memory loss, and affecting reproductive health. Excessive use of electronic devices or proximity to high-voltage transmission lines may have adverse effects on health. Nuclear radiation pollution: Nuclear radiation poses two hazards to the human body: internal and external radiation. It can damage molecules within cells, especially DNA, increase the risk of cancer, and may cause acute or chronic radiation sickness, embryonic and fetal damage, as well as psychological and social effects.

[0003] However, existing monitoring equipment usually has a single function and can only perform one-time detection on a specific pollution source. It is also large in size and complicated to operate, which is not conducive to home use and real-time monitoring. Therefore, it is necessary to develop more comprehensive and portable monitoring technology to effectively monitor and protect these pollution sources and protect people's health.

[0004] In addition, the acoustic, optical and electrical nuclear pollution comprehensive monitoring device includes a variety of sensors. When it is installed in public places, such as airports, railway stations, bus stations, factories and manufacturing activities that may emit dust and other particulate matter, dust is easily attached to its surface. This dust can easily cause the sensor to malfunction. If it is cleaned regularly, it will require a lot of labor.

[0005] In order to solve the above problems, the present invention proposes an artificial intelligence-based acoustic, optical, and electrical nuclear pollution comprehensive monitoring Internet of Things device. Summary of the invention

[0006] The purpose of the present invention is to overcome the shortcomings of the prior art, adapt to actual needs, and provide an artificial intelligence-based acoustic, optical, and electrical nuclear pollution comprehensive monitoring Internet of Things device to solve the above-mentioned technical problems.

[0007] In order to achieve the purpose of the present invention, the technical solution adopted by the present invention is:

[0008] An artificial intelligence-based acoustic, optical and electrical integrated nuclear pollution monitoring Internet of Things device comprises an equipment body, an upper surface of the equipment body is fixedly connected to a mounting box, a sootblowing assembly is arranged inside the mounting box, a lower surface of the equipment body is fixedly connected to a base plate, an upper surface of the base plate is fixedly connected to a fan, an air outlet end of the fan is connected to the sootblowing assembly, and the sootblowing assembly blows on the surface of the equipment body.

[0009] Furthermore, the sootblowing assembly includes a sliding rod slidably connected to the inner bottom wall of the installation box, and two first air ducts are respectively arranged on the lower surface of the sliding rod, and the bottom ends of the first air ducts penetrate the lower surface of the installation box, and the lower surface of the installation box is provided with a avoidance opening for the movement of the first air ducts, and the top ends of the two first air ducts are fixedly connected with the same second air duct, and the surfaces of the first air duct and the second air duct are both provided with blowing holes, and the upper surface of the sliding rod is provided with a through opening, and the first air duct and the second air duct are fixedly connected through the through opening, and the front and rear sides of the inner bottom wall of the installation box are both provided with through holes, and the two through holes are respectively located on the front and rear sides of the equipment body.

[0010] Furthermore, the inner wall of the installation box is rotatably connected to a threaded screw, the front side of the sliding rod is provided with a threaded hole, and the sliding rod is threadedly connected to the threaded screw through the threaded hole, and the back side of the installation box is fixedly connected to a motor, and the output end of the motor passes through the front side of the installation box and is fixedly connected to the threaded screw.

[0011] Furthermore, a slide groove is provided on the side of the installation box, and a slider is slidably connected to the inner wall of the slide groove, and the opposite surfaces of the two sliders are fixedly connected to the same guide shaft, the interior of the guide shaft is hollow, and a connecting pipe is fixedly connected to the inner wall of the guide shaft, one end of the connecting pipe and the second air duct penetrate the surface of the guide shaft and are fixedly connected to the second air duct, the connecting pipe is connected to the second air duct, and the other end of the connecting pipe extends along the axial direction of the guide shaft, and the air outlet end of the fan is connected to the connecting pipe.

[0012] Furthermore, the air outlet end of the fan is fixedly connected to an air outlet pipe, one end of the air outlet pipe is fixedly connected to a positioning pipe, one end of the positioning pipe is rotatably connected to the slider on the right side, and the positioning pipe is communicated with the connecting pipe, the air outlet pipe is a hose, and the air inlet end of the fan is fixedly connected to a filter.

[0013] Furthermore, the lower surface of the installation box is rotatably connected to a driving shaft and a driven shaft respectively, the surfaces of the driving shaft and the driven shaft are provided with a first transmission belt, the surfaces of the two first transmission belts are fixedly connected to the same cleaning brush, and the cleaning brush can move to wipe the device body.

[0014] Furthermore, a driving roller is fixedly connected to the top of the driving shaft, and the driving roller extends to the inside of the installation box. A driven roller is rotatably connected to the inner bottom wall of the installation box. The surfaces of the driving roller and the driven roller are provided with the same second transmission belt. The driving roller and the driven roller are connected through the second transmission belt. A groove is provided on the side of the sliding rod close to the second transmission belt, and the inner wall of the groove is fixedly connected to the surface of the second transmission belt. The sliding rod can drive the second transmission belt to move.

[0015] Furthermore, a mounting plate is fixedly connected to the upper surface of the mounting box, and a mounting hole is provided on the upper surface of the mounting plate.

[0016] An artificial intelligence-based acoustic, optical and electrical nuclear pollution comprehensive monitoring Internet of Things device, the device comprises a device body, the device body comprises a shell, a spectrum sensor, a sound pressure sensor, a Hall sensor, a Geiger counter, an LED display screen, an LED lamp, a buzzer, and a communication module are fixedly mounted on the shell, and a data processing module and a power supply module are arranged inside the shell.

[0017] Furthermore, the inner wall of the Geiger counter is coated with a metal coating, and there is an inert gas inside, which makes its internal resistance very large. One end of the Geiger counter is connected to a large resistor, and the other end is connected to a small resistor. When high-speed particles such as α particles and β particles pass through the Geiger counter, the internal inert gas will be penetrated to form a path, thereby generating a pulse signal. (The inert gas is specifically one of He, Ne, and Ar.)

[0018] A method for using an acoustic, optical and electrical nuclear pollution comprehensive monitoring Internet of Things device based on an artificial intelligence algorithm comprises the following steps:

[0019] S1: Detect light pollution data;

[0020] S2: Detect sound pollution data;

[0021] S3: Detect electromagnetic radiation data;

[0022] S4: Detect nuclear radiation data.

[0023] Furthermore, S1 is specifically:

[0024] Spectral data is obtained through a spectral sensor, and the artificial intelligence algorithm convolutional neural network CNN model is used to determine whether the current spectral data is natural light. A large amount of different types of spectral data prepared in advance are used as training data sets. The pre-trained convolutional neural network CNN is used as the backbone network to extract local features of the input data as the convolution layer CL. After the convolution layer CL, a ReLU nonlinear activation function is applied to generate the pooling layer PL.

[0025] ReLU(z)=max(0,z)

[0026] Where z is the output of the convolutional layer.

[0027] The purpose of the pooling layer is to reduce the size of the feature map, thereby reducing the number of parameters and the amount of computation.

[0028] The formula for maximum pooling is:

[0029] y i，j =max(x i+m，j+n )

[0030] in:

[0031] x is the input feature map, m, n are the sizes of the pooling windows.

[0032] The result L is calculated by the binary cross entropy loss function to determine whether the current spectral data is natural light. The specific calculation formula is as follows:

[0033]

[0034] in:

[0035] N is the number of samples, y i is the true label, is the probability predicted by the model.

[0036] When the calculation result L is greater than or equal to 0.5, it means that the spectral data is natural light, and when the calculation result L is less than 0.5, it means that the spectral data is non-natural light.

[0037] The data processing module performs spectral analysis on the collected optical signal to determine whether it contains a large amount of blue light. If there is a strong blue light peak between 400nm and 500nm in the spectrum, it means that the light source contains more blue light components. The LED light of the detection instrument will turn red, and a message notification will be sent to the mobile phone through the communication module.

[0038] When the color temperature of the detection light reaches above 4000K, the LED light of the detection instrument will turn red, and a message notification will be sent to the mobile phone through the communication module.

[0039] Furthermore, S2 is specifically:

[0040] The sound is collected by the sound pressure sensor, and the data processing module processes the collected sound signal with a digital signal (DSP) algorithm. The process includes sampling, quantization, time domain processing (filtering), frequency domain processing (Fourier transform), and feature extraction. The calculation formula for frequency domain processing is:

[0041]

[0042] Among them, F(ω) is a complex function in the frequency domain, f(t) is a function in the time domain, ω represents the frequency, and e -jωt is a complex exponential function. This formula decomposes the time domain signal f(t) into a series of complex amplitude and phase combinations that describe the contribution of the signal at different frequencies.

[0043] When the detected sound is greater than 105 decibels and lasts for more than 30 seconds, the LED light of the detection instrument will turn red and a message notification will be sent to the mobile phone through the communication module.

[0044] When the detected sound frequency is greater than 20000hz and lasts for more than 30 seconds, the LED light ring of the detection instrument will turn red, and a message notification will be sent to the mobile phone through the communication module.

[0045] Furthermore, S3 is specifically:

[0046] When electromagnetic waves propagate in space, they contain electric and magnetic fields, and there is a relationship between the electric field strength E and the magnetic field strength B. The intensity of electromagnetic waves can be expressed as electric field strength or magnetic field strength.

[0047] S31: Calculation of electric field strength

[0048] The Hall sensor measures the magnetic field strength B, then calculates the electric field strength E, and then calculates the radiation intensity based on the electric field strength, and displays its value on the LED screen in real time.

[0049] The calculation formula of electric field strength E is as follows:

[0050] E=c·B

[0051] Where c is the speed of light, which is approximately 3×10 8 Meter / second. The unit of electric field strength E is volt per meter (V / m), and the unit of magnetic induction strength B is Tesla, abbreviated as Tesla (T).

[0052] S32: Calculate radiation intensity from electric field strength

[0053] For plane electromagnetic waves, the relationship between the radiation intensity I and the electric field intensity E is:

[0054]

[0055] Where Z 0 is the characteristic impedance of free space, which is approximately 377 ohms.

[0056] When the detected radiation intensity exceeds 50W / m 2 , and the duration exceeds 1 minute, the LED light of the detection instrument will turn red, and a message notification will be sent to the mobile phone through the communication module.

[0057] Furthermore, S4 is specifically:

[0058] When high-speed radiation particles enter the Geiger counter, the inert gas inside the Geiger counter will be broken down, resulting in an ionization reaction, rapid discharge and output pulse signals.

[0059] The data processing module detects the count of the pulse signal (CPM) and converts the count into microsievert per hour (μSv / h), and then displays its value in real time on the LED screen. When it exceeds 1μSv / h, the LED light will turn from green to red and the buzzer will sound an alarm.

[0060] The calculation formula of pulse signal count to microsievert per hour is:

[0061] 1μSv / h=CPM / 283

[0062] CPM stands for the total number of pulses per minute, and 283 is the conversion factor published when the Geiger tube leaves the factory.

[0063] Compared with the prior art, this patent application has the following beneficial effects:

[0064] 1. This detection device can detect light pollution, sound pollution, electromagnetic pollution, and nuclear radiation pollution at the same time, and provide comprehensive environmental detection data. It is small in size and easy to carry and place in different detection locations for 7x24 hours of real-time on-site detection. The detection results are displayed in real time, which is convenient for users to understand the current environmental conditions in a timely manner. The device is bundled with a mobile phone app, and the mobile phone can connect to the detection device through the mobile phone network at any location to display various data indicators in the tested environment in real time. When the detection environment data exceeds the threshold, the light ring on the front panel of the device will change from green to red, and a warning notification will be sent to the bound mobile phone app, so that users can understand the changes in the detected environment at the first time.

[0065] 2. The fan supplies air to the sootblower assembly, which blows air to the surface of the equipment body to clean the dust attached to the surface, thereby preventing excessive dust from causing various sensors to malfunction. There is no need for manual regular cleaning of the monitoring device, which solves the problem of large amounts of labor required for regular cleaning of equipment in the prior art.

[0066] 3. Blow air toward the surface of the equipment by setting the first air duct, the second air duct and the blowing hole, drive the first air duct and the second air duct to move by the sliding rod, set the two through holes on the front and back sides of the equipment body, and when the through hole coincides with the inner bottom wall of the installation box, increase the air volume in the first air duct, increase the blowing force of the first air duct on the side of the equipment body, and improve the cleaning effect.

[0067] 4. The cleaning brush is driven by the cooperation of the active shaft, the driven shaft and the first transmission belt to wipe the front of the equipment body, and the stains that are difficult to clean on the front are removed. The dust on the front side of the equipment body is removed through the cooperation of the second air duct in the front through hole, avoiding damage to the LED screen due to the presence of dust during the wiping process, thereby improving the safety during the cleaning process. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a schematic diagram of the three-dimensional structure of the present invention;

[0069] Figure 2 It is a schematic diagram of the internal structure of the installation box of the present invention;

[0070] Figure 3 It is a schematic diagram of the three-dimensional structure of the sootblowing assembly of the present invention;

[0071] Figure 4 For the present invention Figure 3 A schematic diagram of the enlarged structure at A in the middle;

[0072] Figure 5 It is a schematic diagram of the exploded structure of the sliding rod, the first air duct and the second air duct of the present invention;

[0073] Figure 6 It is a schematic diagram of the three-dimensional structure of the rotating shaft of the present invention;

[0074] Figure 7 It is a three-dimensional structural schematic diagram of the installation box of the present invention;

[0075] Figure 8 It is a three-dimensional structural schematic diagram of the driving shaft and the driven shaft of the present invention;

[0076] Fig. 9 It is a schematic cross-sectional structural diagram of the installation box of the present invention;

[0077] Fig.10 For the present invention Fig. 9 A schematic diagram of the enlarged structure at B in the middle;

[0078] Fig.11 For the present invention Fig. 9 Schematic diagram of the enlarged structure at C in the middle;

[0079] Fig.12 It is a schematic diagram of the three-dimensional structure of the main body of the device of the present invention;

[0080] Fig.13 This is a schematic diagram of the Geiger counter structure. DETAILED DESCRIPTION

[0081] The following is combined with Figure 1-13 The present invention is further described with examples:

[0082] Example 1

[0083] like Figure 1-11 As shown, an artificial intelligence-based acoustic, optical and electrical nuclear pollution comprehensive monitoring Internet of Things device includes an equipment body 1, an installation box 2 is fixedly connected to the upper surface of the equipment body 1, a soot blowing assembly 3 is arranged inside the installation box 2, a bottom plate 4 is fixedly connected to the lower surface of the equipment body 1, a fan 5 is fixedly connected to the upper surface of the bottom plate 4, an air outlet end of the fan 5 is connected to the soot blowing assembly 3, and the soot blowing assembly 3 blows on the surface of the equipment body 1.

[0084] Specifically, air is supplied to the sootblower assembly 3 through the fan 5, and the sootblower assembly 3 blows air to the surface of the equipment body 1 to clean the dust attached to the surface, thereby preventing excessive dust from causing various sensors to malfunction. There is no need for manual regular cleaning of the monitoring device, which solves the problem of large amount of labor consumption in the prior art for regular cleaning of equipment.

[0085] The soot blowing assembly 3 includes a sliding rod 301 slidably connected to the inner bottom wall of the installation box 2, and two first air ducts 302 are respectively arranged on the lower surface of the sliding rod 301. The bottom end of the first air duct 302 passes through the lower surface of the installation box 2, and the lower surface of the installation box 2 is provided with a avoidance opening for the movement of the first air duct 302. The top ends of the two first air ducts 302 are fixedly connected with the same second air duct 303, and the surfaces of the first air duct 302 and the second air duct 303 are both provided with blowing holes 304. The upper surface of the sliding rod 301 is provided with a through hole 305, and the first air duct 302 and the second air duct 303 are fixedly connected through the through hole 305. The front and rear sides of the inner bottom wall of the installation box 2 are both provided with There are through holes 306, and the two through holes 306 are respectively located on the front and rear sides of the device body 1. The first air duct 302 cooperates with the blowing holes 304 arranged thereon to blow and clean the side of the device body 1. By setting the second air duct 303 and the blowing holes 304 arranged thereon, the front and rear sides of the device body 1 are blown and cleaned respectively in cooperation with the through opening 305 and the two through holes 306. At the same time, the two through holes 306 are set on the front and rear sides of the device body 1. When the through opening 305 coincides with the inner bottom wall of the installation box 2, the air volume in the first air duct 302 is increased, the blowing force of the first air duct 302 on the side of the device body 1 is increased, and the cleaning effect is improved.

[0086] The inner wall of the installation box 2 is rotatably connected with a threaded screw 307, a threaded hole is provided on the front side of the sliding rod 301, and the sliding rod 301 is threadedly connected to the threaded screw 307 through the threaded hole, and the back side of the installation box 2 is fixedly connected with a motor 308, and the output end of the motor 308 passes through the front side of the installation box 2 and is fixedly connected to the threaded screw 307. The threaded screw 307 is driven to rotate by the output end of the motor 308, and then the sliding rod 301 is driven to move, and then the first air duct 302 and the second air duct 303 are driven to move. The first air duct 302 and the second air duct 303 are driven to move by the sliding rod 301 to expand the cleaning coverage and improve the cleaning effect.

[0087] A slide groove is provided on the side of the mounting box 2, and a slider 6 is slidably connected to the inner wall of the slide groove, and the opposite surfaces of the two sliders 6 are fixedly connected to the same guide shaft 7, the interior of the guide shaft 7 is hollow, and a connecting tube 8 is fixedly connected to the inner wall of the guide shaft 7, one end of the connecting tube 8 and the second air duct 303 penetrate the surface of the guide shaft 7 and are fixedly connected to the second air duct 303, the connecting tube 8 is connected to the second air duct 303, and the other end of the connecting tube 8 extends along the axial direction of the guide shaft 7, the air outlet end of the fan 5 is connected to the connecting tube 8, and the airflow is sent into the second air duct 303 by setting the connecting tube 8.

[0088] The air outlet end of the fan 5 is fixedly connected to an air outlet pipe 11, one end of the air outlet pipe 11 is fixedly connected to a positioning pipe 12, one end of the positioning pipe 12 is rotatably connected to the right slider 6, and the positioning pipe 12 is communicated with the connecting pipe 8. The air outlet pipe 11 is a hose, and the air inlet end of the fan 5 is fixedly connected to a filter screen 13. When the fan 5 works, the external air is filtered through the filter screen 13 and then sent into the connecting pipe 8 through the air outlet pipe 11 and the positioning pipe 12. By setting the air outlet pipe 11 as a hose to adapt to the movement of the sliding rod 301, and by setting the positioning pipe 12, there is space between the air outlet pipe 11 and the device body 1 to facilitate the movement of the first air duct 302.

[0089] The lower surface of the mounting box 2 is rotatably connected with a driving shaft 14 and a driven shaft 15, and the surfaces of the driving shaft 14 and the driven shaft 15 are provided with a first transmission belt 16. The surfaces of the two first transmission belts 16 are fixedly connected with the same cleaning brush 17. The cleaning brush 17 can move to wipe the device body 1. The cooperation of the driving shaft 14, the driven shaft 15 and the first transmission belt 16 drives the cleaning brush 17 to wipe the front of the device body 1 to remove the stains on the front that are difficult to clean.

[0090] The top of the driving shaft 14 is fixedly connected with an active roller 18, and the active roller 18 extends to the inside of the installation box 2. The inner bottom wall of the installation box 2 is rotatably connected with a driven roller 19. The surfaces of the active roller 18 and the driven roller 19 are provided with the same second transmission belt 9, and the active roller 18 and the driven roller 19 are connected through the second transmission belt 9. A groove is provided on the side of the sliding rod 301 close to the second transmission belt 9, and the inner wall of the groove is fixedly connected to the surface of the second transmission belt 9. The sliding rod 301 can drive the second transmission belt 9 to move, and the second transmission belt 9 is driven to rotate by the sliding rod 301, thereby driving the active roller 18 to rotate, and then driving the driving shaft 14 to rotate, and then driving the first transmission belt 16 to move with the cooperation of the driven shaft 15. When the moving rod moves a stroke from the front side to the rear side, the cleaning brush 17 moves one circle and resets.

[0091] The upper surface of the installation box 2 is fixedly connected with a mounting plate 10, and the upper surface of the mounting plate 10 is provided with mounting holes. By providing the mounting plate 10, the device can be installed at a high place to avoid damage caused by large flow of people when it is installed in a public place.

[0092] Working principle: When the acoustic, optical and electrical nuclear pollution integrated monitoring device is used, the device is installed at a high place using the mounting plate 10 to detect light pollution, sound pollution, electromagnetic pollution, and nuclear radiation pollution, and provide comprehensive environmental detection data. During use, when dust needs to be cleaned, the fan 5 is started first, and the fan 5 uses the air outlet pipe 11, the positioning pipe 12, and the connecting pipe 8 to send air into the second air duct 303. The second air duct 303 uses the blowing hole, the port 305 and the through hole 306 to blow air toward the front of the device body 1 to clean the dust on the LED screen 114, so as to avoid damage to the LED screen 114 caused by the subsequent cleaning brush 17. Then the motor 308 is started, and the output end of the motor 308 drives the threaded screw 307 to rotate, and the threaded screw 307 drives The sliding rod 301 moves, and the sliding rod 301 drives the first air duct 302 and the second air duct 303 to move. The first air duct 302 blows and cleans the side of the equipment main body 1. When the second air duct 303 moves to correspond to the through hole 306 on the rear side, the second air duct 303 blows and cleans the rear side of the equipment main body 1. During this process, the sliding rod 301 drives the second transmission belt 9 to rotate, and then drives the active roller 18 to rotate. The active roller 18 drives the active shaft 14 to rotate. The active shaft 14 drives the first transmission belt 16 to move with the cooperation of the driven shaft 15. The first transmission belt 16 drives the cleaning brush 17 to wipe the front of the equipment main body 1 to remove the stains that are difficult to clean on the front, thereby solving the problem that regular cleaning of the equipment in the prior art requires a lot of labor.

[0093] Example 2

[0094] like Fig.12 As shown, the device body 1 includes a shell 101, on which a spectrum sensor 109, a sound pressure sensor 110, a Hall sensor 111, a Geiger counter 104, an LED display screen 114, an LED light 115, a buzzer 112, and a communication module 113 are fixedly installed, and a data processing module 103 and a power supply module 102 are arranged inside the shell 101.

[0095] After the spectral sensor 109 collects data, the data processing module 103 processes the data based on an artificial intelligence algorithm and outputs the detection data, and the detection data will be displayed on the LED display screen 114 in real time.

[0096] After the sound pressure sensor 110 collects data, the data processing module 103 processes based on the DSP algorithm, outputs the detection data, and displays the detection data on the LED screen in real time.

[0097] After the Hall sensor 111 collects data, the data processing module 103 processes the data based on an artificial intelligence algorithm and outputs the detection data, which is then displayed on the LED display screen 114 in real time.

[0098] like Fig.13As shown, the inner wall of the Geiger counter 104 is coated with a metal coating 23, and there is an inert gas 25 inside, which makes its internal resistance very large. One end of the Geiger counter 104 is connected to a large resistor 22, and the other end is connected to a small resistor 26. When high-speed particles such as α particles and β particles pass through the Geiger counter 104, the internal inert gas will be penetrated to form a path, thereby generating a pulse signal 24.

[0099] The inert gas 25 is specifically one of He, Ne, and Ar.

[0100] Example 3

[0101] A method for using an acoustic, optical and electrical nuclear pollution comprehensive monitoring Internet of Things device based on an artificial intelligence algorithm comprises the following steps:

[0102] S1: Detect light pollution data

[0103] Spectral data is obtained through the spectral sensor 109, and an artificial intelligence algorithm convolutional neural network CNN model is used to determine whether the current spectral data is natural light. A large number of different types of spectral data prepared in advance are used as training data sets. The pre-trained convolutional neural network CNN is used as the backbone network to extract local features of the input data as the convolution layer CL. After the convolution layer CL, a ReLU nonlinear activation function is applied to generate a pooling layer PL.

[0104] ReLU(z)=max(0,z)

[0105] Where z is the output of the convolutional layer.

[0106] The purpose of the pooling layer is to reduce the size of the feature map, thereby reducing the number of parameters and the amount of computation.

[0107] The formula for maximum pooling is:

[0108] y i，j =max(x i+m，j+n )

[0109] in:

[0110] x i is the input feature map, m, n are the sizes of the pooling windows.

[0111] The result L is calculated by the binary cross entropy loss function to determine whether the current spectral data is natural light. The specific calculation formula is as follows:

[0112]

[0113] in:

[0114] N is the number of samples, y i is the true label, is the probability predicted by the model.

[0115] When the calculation result L is greater than or equal to 0.5, it means that the spectral data is natural light, and when the calculation result L is less than 0.5, it means that the spectral data is non-natural light.

[0116] The data processing module 103 performs spectral analysis on the collected optical signal to determine whether it contains a large amount of blue light. If there is a strong blue light peak between 400nm and 500nm in the spectrum, it means that there are more blue light components in the light source. The LED light 115 of the detection instrument will turn red, and a message notification will be sent to the mobile phone through the communication module 113.

[0117] When the color temperature of the detection light reaches above 4000K, the LED light 115 of the detection instrument will turn red, and a message notification will be sent to the mobile phone through the communication module 113.

[0118] S2: Detection of sound pollution data

[0119] The sound is collected by the sound pressure sensor 110, and the data processing module 103 performs digital signal (DSP) algorithm processing on the collected sound signal. The process includes sampling, quantization, time domain processing (filtering), frequency domain processing (Fourier transform), and feature extraction. The calculation formula for frequency domain processing is:

[0120]

[0121] Among them, F(ω) is a complex function in the frequency domain, f(t) is a function in the time domain, ω represents the frequency, and e -jωt is a complex exponential function. This formula decomposes the time domain signal f(t) into a series of complex amplitude and phase combinations that describe the contribution of the signal at different frequencies.

[0122] When the detected sound is greater than 105 decibels and lasts for more than 30 seconds, the LED light 115 of the detection instrument will turn red, and a message notification will be sent to the mobile phone through the communication module 113.

[0123] When the detected sound frequency is greater than 20000 Hz and lasts for more than 30 seconds, the LED light 115 ring of the detection instrument will turn red, and a message notification will be sent to the mobile phone through the communication module 113.

[0124] S3: Detection of electromagnetic radiation data

[0125] When electromagnetic waves propagate in space, they contain electric and magnetic fields, and there is a relationship between the electric field strength E and the magnetic field strength B. The intensity of electromagnetic waves can be expressed as electric field strength or magnetic field strength.

[0126] S31: Calculation of electric field strength

[0127] The magnetic field strength B is measured by the Hall sensor 111, and then the electric field strength E is calculated. Then, the radiation intensity is calculated based on the electric field strength, and its value is displayed on the LED screen in real time.

[0128] The calculation formula of electric field strength E is as follows:

[0129] E=c·B

[0130] Where c is the speed of light, which is approximately 3×10 8 Meter / second. The unit of electric field strength E is volt per meter (V / m), and the unit of magnetic induction strength B is Tesla, abbreviated as Tesla (T).

[0131] S32: Calculate radiation intensity from electric field strength

[0132] For plane electromagnetic waves, the relationship between the radiation intensity I and the electric field intensity E is:

[0133]

[0134] Where Z 0 is the characteristic impedance of free space, which is approximately 377 ohms.

[0135] When the detected radiation intensity exceeds 50W / m 2 , and when the duration exceeds 1 minute, the LED light 115 of the detection instrument will turn red, and a message notification will be sent to the mobile phone through the communication module 113.

[0136] S4: Detecting nuclear radiation data

[0137] When high-speed radiation particles enter the Geiger counter 104, the inert gas 25 inside the Geiger counter 104 will be broken down, resulting in an ionization reaction, and rapid discharge and output pulse signal 24 will occur.

[0138] The data processing module 103 detects the count (CPM) of the pulse signal and converts the count into microsieverts per hour μSv / h, and then displays its value in real time on the LED screen display 114. When it exceeds 1 μSv / h, the LED light 115 will turn from green to red, and the buzzer 112 will sound an alarm.

[0139] The calculation formula of pulse signal count to microsievert per hour is:

[0140] 1μSv / h=CPM / 283

[0141] CPM stands for the total number of pulses per minute, and 283 is the conversion factor published when the Geiger tube leaves the factory.

[0142] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. An artificial intelligence-based acoustic, optical, and electrical nuclear pollution comprehensive monitoring Internet of Things device, comprising a device body (1), characterized in that: The upper surface of the device body (1) is fixedly connected to a mounting box (2), a soot blowing assembly (3) is arranged inside the mounting box (2), the lower surface of the device body (1) is fixedly connected to a base plate (4), the upper surface of the base plate (4) is fixedly connected to a fan (5), the air outlet end of the fan (5) is connected to the soot blowing assembly (3), and the soot blowing assembly (3) blows on the surface of the device body (1).

2. The device for comprehensive monitoring of nuclear pollution based on sound, light and electricity based on artificial intelligence as claimed in claim 1, characterized in that: The sootblowing assembly (3) comprises a sliding rod (301) slidably connected to the inner bottom wall of the installation box (2); two first air ducts (302) are fixedly connected to the lower surface of the sliding rod (301); the bottom ends of the first air ducts (302) penetrate the lower surface of the installation box (2); a relief opening for the movement of the first air ducts (302) is provided on the lower surface of the installation box (2); the top ends of the two first air ducts (302) are fixedly connected to the same second air duct (303); the surfaces of the first air duct (302) and the second air duct (303) are both provided with blowing holes (304); the upper surface of the sliding rod (301) is provided with a through hole (305); the front and rear sides of the inner bottom wall of the installation box (2) are both provided with through holes (306); the two through holes (306) are respectively located on the front and rear sides of the device body (1).

3. The device for comprehensive monitoring of nuclear pollution based on sound, light and electricity based on artificial intelligence as claimed in claim 2, characterized in that: The inner wall of the installation box (2) is rotatably connected to a threaded screw (307), the front side of the sliding rod (301) is provided with a threaded hole, and the sliding rod (301) is threadedly connected to the threaded screw (307) through the threaded hole, and the back side of the installation box (2) is fixedly connected to a motor (308), and the output end of the motor (308) passes through the front side of the installation box (2) and is fixedly connected to the threaded screw (307).

4. The device for comprehensive monitoring of nuclear pollution based on sound, light and electricity based on artificial intelligence as claimed in claim 3, characterized in that: A sliding groove is provided on the side of the installation box (2), and a slider (6) is slidably connected to the inner wall of the sliding groove. The opposite surfaces of the two sliders (6) are rotatably connected to the same rotating shaft (7). A connecting tube (8) is wound around the surface of the rotating shaft (7). One end of the connecting tube (8) is fixedly connected to the second air duct (303) and passes through the inner wall of the second air duct (303). The interior of the rotating shaft (7) is hollow. The other end of the connecting tube (8) passes through the inner wall of the rotating shaft (7) and extends along the axial direction of the rotating shaft (7). The air outlet end of the fan (5) is connected to the connecting tube (8). The opposite surfaces of the two sliders (6) are fixedly connected to a fixing ring (9). A coil spring (10) is fixedly connected to the surface of the rotating shaft (7). The other end of the coil spring (10) is fixedly connected to the inner wall of the fixing ring (9).

5. The device for comprehensive monitoring of nuclear pollution based on sound, light and electricity based on artificial intelligence as claimed in claim 4, characterized in that: The air outlet end of the fan (5) is fixedly connected to an air outlet pipe (11), one end of the air outlet pipe (11) is fixedly connected to a positioning pipe (12), one end of the positioning pipe (12) is rotatably connected to the right side slider (6), and the positioning pipe (12) is connected to the connecting pipe (8), the air outlet pipe (11) is a hose, and the air inlet end of the fan (5) is fixedly connected to a filter screen (13).

6. The device for comprehensive monitoring of nuclear pollution based on sound, light and electricity based on artificial intelligence as claimed in claim 2, characterized in that: The lower surface of the installation box (2) is rotatably connected to a driving shaft (14) and a driven shaft (15), respectively; the surfaces of the driving shaft (14) and the driven shaft (15) are provided with a first transmission belt (16); the surfaces of the two first transmission belts (16) are fixedly connected to the same cleaning brush (17); the cleaning brush (17) can move to wipe the device body (1).

7. The device for comprehensive monitoring of nuclear pollution based on sound, light and electricity based on artificial intelligence as claimed in claim 6, characterized in that: The top end of the driving shaft (14) is fixedly connected to a driving roller (18), and the driving roller (18) extends to the inside of the installation box (2). The inner bottom wall of the installation box (2) is rotatably connected to a driven roller (19). The surfaces of the driving roller (18) and the driven roller (19) are provided with the same second transmission belt (20). A groove is provided on a side of the sliding rod (301) close to the second transmission belt (20), and the inner wall of the groove is fixedly connected to the surface of the second transmission belt (20). The sliding rod (301) can drive the second transmission belt (20) to move.

8. The device for comprehensive monitoring of nuclear pollution based on sound, light, and electricity based on artificial intelligence as claimed in claim 1, characterized in that: A mounting plate (21) is fixedly connected to the upper surface of the mounting box (2), and a mounting hole is provided on the upper surface of the mounting plate (21).

9. An artificial intelligence-based acoustic, optical, and electrical nuclear pollution comprehensive monitoring Internet of Things device, characterized in that: The device comprises a device body (1), the device body (1) comprises a housing (101), a spectrum sensor (109), a sound pressure sensor (110), a Hall sensor (111), a Geiger counter (104), an LED display screen (114), an LED lamp (115), a buzzer (112), and a communication module (113) are fixedly mounted on the housing (101), and a data processing module (103) and a power supply module (102) are arranged inside the housing (101).

10. A method for using the acoustic, optical and electrical nuclear pollution comprehensive monitoring Internet of Things device based on artificial intelligence algorithm as claimed in claim 9, characterized in that: The steps include: S1: Detect light pollution data; S2: Detect sound pollution data; S3: Detect electromagnetic radiation data; S4: Detect nuclear radiation data.

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