Sensor access method and system of Internet of Things

Abstract

The invention relates to a sensor access method and system of the Internet of Things, and relates to the field of the Internet of Things, and the method comprises the steps: obtaining the operation data of a power system; converting the operation data into a light signal from a preset light signal conversion model according to the operation data; controlling a preset light device to start according to the light signal, and controlling a preset receiving device to obtain a visible light signal; matching electric power data from a preset visible light signal conversion model according to the visible light signal; matching display data from a preset display data matching model according to the power data; and controlling a preset display device to display according to the display data. The application has the effects of improving the security and reliability of data and reducing the influence of electromagnetic interference in data transmission.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things, and in particular to a sensor access method and system for the Internet of Things. Background Art

[0002] The Internet of Things refers to network technology that connects physical devices to the Internet through sensors, software and other technologies, enabling them to collect and exchange data.

[0003] In the prior art, Internet of Things technology is generally used in power safety monitoring systems. The power safety monitoring system needs to obtain the operating data of the power system in the high-voltage substation or power plant through various sensors, and send the operating data to the host so that the host can judge whether the operating status of the power system is normal based on the operating data analysis. The various sensors and the host are generally connected by cables.

[0004] The operation of the power system is generally accompanied by greater electromagnetic interference. When data is transmitted through cables, the cables are susceptible to electromagnetic interference, which may cause errors in the transmitted data. Summary of the invention

[0005] In order to improve the security and reliability of data and reduce the impact of electromagnetic interference in data transmission, the present invention provides a sensor access method and system for the Internet of Things.

[0006] In a first aspect, the present invention provides a sensor access method for an Internet of Things, which adopts the following technical solution: A sensor access method for the Internet of Things, comprising: Obtaining operation data of power system; Converting into light signals from a preset light signal conversion model according to operation data; Control the preset lighting device to start according to the lighting signal, and control the preset receiving device to obtain the visible light signal; Matching power data from a preset visible light signal conversion model according to the visible light signal; Matching display data from a preset display data matching model according to the power data; The preset display device is controlled to display according to the display data.

[0007] By adopting the above technical solution, the electrical signal obtained by the sensor is converted into an optical signal through a lighting device and then sent out, and then the optical signal is received by a corresponding receiving device and converted into an electrical signal, thereby reducing the situation where the electrical signal data is affected by electromagnetic interference during transmission and causing data errors.

[0008] Optionally, also include: Acquire a distance image between the receiving device and the lighting device; Identify the device spacing from a preset spacing recognition model according to the spacing image, and obtain the ambient brightness of the environment; Matching a reference brightness from a preset reference brightness matching model according to the ambient brightness and the device distance; Matching a comparison signal from a preset comparison signal conversion model according to the reference brightness and the operating data; The preset lighting device is controlled to emit light according to the comparison signal.

[0009] By adopting the above technical solution, the brightness of the environment is monitored in real time, so that the brightness of the light signal emitted by the lighting device is adjusted using the ambient light intensity as the reference brightness, thereby reducing the situation where the light signal emitted by the lighting device is seriously interfered with due to the high brightness of the external light, and reducing the situation where the lighting device emits light at a higher brightness when the external light brightness is low, resulting in energy waste.

[0010] Optionally, an infrared transceiver method is also included, and the infrared transceiver method includes: When the ambient brightness exceeds the preset brightness recognition range, the ambient temperature of the environment is obtained; Matching the reference power from a preset reference power matching model according to the ambient temperature and the device spacing; Matching a differential signal from a preset differential signal conversion model according to the reference power and the operating data; Controlling the preset infrared device to start according to the differential signal, and controlling the preset receiving device to obtain the infrared light signal; The power data is matched from a preset infrared light signal conversion model according to the infrared light signal.

[0011] By adopting the above technical solution, when the brightness of external light is too high, it is not easy for the receiving device to receive the visible light signal emitted by the lighting device. At this time, the electrical signal obtained by the infrared device sensor is converted into an infrared signal, and the infrared signal is received by the corresponding receiving device, thereby reducing the situation where the lighting device is controlled to work at a higher power when the external brightness is too high, resulting in energy waste.

[0012] Optionally, a light-through-fog method is also included, and the light-through-fog method includes: Get the ambient humidity; When the ambient humidity exceeds the preset fog penetration range, the light wavelength is matched from the preset light wavelength matching model according to the ambient humidity; Matching the fog penetration signal from the preset fog penetration signal matching model according to the light wavelength, reference brightness and operation data; The preset lighting device is activated according to the fog penetration signal control.

[0013] By adopting the above technical solution, when the ambient humidity is too high, the scattering rate of light is easily increased, thereby reducing the brightness intensity of the light signal received by the receiving device, and causing the light signal emitted by the light signal to be seriously interfered with. By changing the wavelength of the light emitted by the light signal to reduce the scattering rate of light, the reliability of signal transmission is improved.

[0014] Optionally, the light penetrating fog method further includes: When the ambient humidity exceeds the preset fog penetration range, the fog dispersing wind force is matched from the preset fog dispersing wind force matching model according to the device spacing; Control the preset blowing device according to the mist dispersing wind force to blow away the water vapor between the lighting device and the receiving device; Matching infrared power from a preset infrared power matching model according to ambient humidity and device spacing; The preset infrared device is controlled according to the infrared power to heat the water vapor between the lighting device and the receiving device.

[0015] By adopting the above technical solution, when the ambient humidity is high, air is blown by the blowing device to reduce the humidity of the space between the lighting device and the receiving device, and an infrared signal is sent by the infrared device to heat the space between the lighting device and the receiving device, thereby further reducing the humidity of the space between the lighting device and the receiving device, thereby reducing light scattering.

[0016] Optionally, the light penetrating fog method further includes: When the ambient temperature exceeds the preset storage temperature, the recovery time is matched from the preset heat recovery time model according to the ambient temperature and the preset storage temperature; Control the on / off of the preset heat recovery device according to the recovery time, and define the ambient temperature as the storage temperature; When the ambient humidity exceeds the preset mist penetration range and the ambient temperature is lower than the preset storage temperature, the release time is matched from the preset heat release time model according to the ambient temperature and the preset storage temperature; The preset heat recovery device is turned on and off according to the release time, and the ambient temperature is defined as the storage temperature.

[0017] By adopting the above technical solution, the heat recovery device is controlled to absorb heat when the ambient temperature is high, and release heat when the ambient humidity is high, thereby reducing the ambient humidity, reducing light scattering, and improving the stability of optical signal transmission.

[0018] Optionally, the light penetrating fog method further includes: Get the actual angle of the condenser; When the ambient humidity exceeds the preset fog penetration range, the focusing angle is matched from the preset focusing angle matching model according to the device spacing; Matching the adjustment angle from a preset adjustment angle matching model according to the actual angle and the spotlight angle; The focusing plate preset on the lighting device is controlled to rotate according to the adjustment angle.

[0019] By adopting the above technical solution, when the ambient humidity is high, the scattered light is refracted toward the receiving device through the focusing plate, thereby reducing the scattering of the light signal emitted by the lighting device, thereby improving the stability of the light signal transmission.

[0020] Optionally, a fault analysis method is also included, and the fault analysis method includes: Determine whether a power system fault occurs based on power data from a preset fault identification model; When a fault occurs in the power system, fault information is generated from a preset fault information generation model according to power data; Matching warning data from a preset display data matching model according to the fault information; A preset display device is controlled to issue a fault warning according to the warning data.

[0021] By adopting the above technical solution, the operating status of the power system can be judged from the acquired power data, and when the data is abnormal, a warning message is generated according to the abnormality, so that the staff can be notified in time through the display device, thereby reducing the situation of power system failure.

[0022] Optionally, a data modulation method is also included, and the data modulation method includes: Matching a modulation signal according to the operation data and a preset signal modulation method; Converting the modulation signal into a light signal from a preset light signal conversion model according to the modulation signal; Control the preset lighting device to start according to the lighting signal, and control the preset receiving device to obtain the visible light signal; Matching power data from a preset visible light signal conversion model according to the visible light signal; According to the power data, a demodulation signal is matched according to a preset signal demodulation method; Display data is matched from a preset display data matching model according to the demodulated signal.

[0023] By adopting the above technical solution, the original operating data is encoded according to the signal modulation method, and the data is decoded according to the corresponding signal demodulation method, thereby improving the bandwidth efficiency of optical signal transmission and reducing the bit error rate.

[0024] In a second aspect, the present application provides a sensor access system for the Internet of Things, which adopts the following technical solutions: A sensor access system for the Internet of Things, comprising: An acquisition module is used to acquire operation data, visible light signals, spacing images, ambient brightness, infrared light signals, ambient temperature, ambient humidity and actual angle; A memory, used to store a program of any one of the control methods of the sensor access method of the Internet of Things; The program in the processor memory can be loaded and executed by the processor and implement the control method of any of the above-mentioned sensor access methods of the Internet of Things.

[0025] By adopting the above technical solution, the electrical signal obtained by the sensor is converted into an optical signal through a lighting device and then sent out, and then the optical signal is received by a corresponding receiving device and converted into an electrical signal, thereby reducing the situation where the electrical signal data is affected by electromagnetic interference during transmission and causing data errors.

[0026] In summary, the present application includes at least one of the following beneficial technical effects: 1. The electrical signal obtained by the sensor is converted into an optical signal through a lighting device and then received by a corresponding receiving device and converted into an electrical signal, thereby reducing the possibility of data errors caused by electromagnetic interference during the transmission of the electrical signal; 2. Monitor the brightness of the environment in real time, and use the brightness of the environment as the reference brightness to adjust the brightness of the light signal emitted by the lighting device, thereby reducing the situation where the light signal emitted by the lighting device is seriously interfered by the high brightness of the external light, and reducing the situation where the lighting device emits light at a higher brightness when the external light brightness is low, resulting in energy waste; 3. When the brightness of external light is too high, it is not easy to receive the visible light signal emitted by the lighting device through the receiving device. At this time, the electrical signal obtained by the infrared device sensor is converted into an infrared signal, and the infrared signal is received by the corresponding receiving device, thereby reducing the situation where the lighting device is controlled to work at a higher power when the external brightness is too high, resulting in energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a process of sensor access method of Internet of Things Figure 1 ; Figure 2 It is a process of sensor access method of Internet of Things Figure 2 ; Figure 3 It is a flow chart of the infrared transceiver method; Figure 4 This is the process of the light penetration method Figure 1 ; Figure 5 This is the process of the light penetration method Figure 2 ; Figure 6This is the process of the light penetration method Figure 3 ; Figure 7 This is the process of the light penetration method Figure 4 ; Figure 8 It is a flow chart of the fault analysis method; Fig. 9 is a flow chart of the data modulation method. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the following Figure 1 -Attached Fig. 9 It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0029] The embodiment of the present invention discloses a sensor access method and system for the Internet of Things. The present invention is used to convert data in the form of electrical signals obtained by sensors into optical signals, thereby reducing the electromagnetic interference of the power system on the data transmission process, and converting the optical signals into electrical signals after receiving them for further analysis, thereby improving the stability of the power system operation.

[0030] Reference Figure 1 , a sensor access method for the Internet of Things, comprising the following steps: Step 100: Acquire operation data of the power system.

[0031] Operation data refers to the operating parameters of the power system such as temperature, current, and voltage. The operation data can be obtained through corresponding sensors. The method for obtaining the operation data is selected by the staff based on actual conditions and will not be elaborated here.

[0032] Step 101: Converting the operating data into a light signal from a preset light signal conversion model.

[0033] The lighting device refers to a device installed on the sensor and used to send the operating data of the electrical signal in the form of a light signal. The lighting device is selected by the staff according to the actual situation and will not be described here. The lighting signal conversion model refers to a neural network model obtained through sample training in advance. The lighting signal conversion model can match the lighting signal sent by the operating data through the on and off of the lighting device.

[0034] Step 102: Control a preset lighting device to start according to the lighting signal, and control a preset receiving device to obtain a visible light signal.

[0035] The receiving device refers to a device for receiving light signals that is arranged corresponding to the lighting device. The receiving device can receive visible light signals and infrared light signals. The receiving device is selected by the staff according to actual conditions and will not be elaborated here.

[0036] The visible light signal is a light signal emitted by the light device and received by the receiving device.

[0037] Step 103: Match the power data from a preset visible light signal conversion model according to the visible light signal.

[0038] The visible light signal conversion model refers to a neural network model obtained through sample training in advance. The visible light signal conversion model can restore the visible light signal to the original operating data. The power data is the conversion result obtained by matching the visible light signal conversion model.

[0039] Step 104: Matching display data from a preset display data matching model according to the power data.

[0040] The display device refers to a device used to display the operating status of the power system to the staff. The display device is selected by the staff according to the actual situation and will not be described in detail here. The display data matching model refers to a neural network model obtained through sample training in advance. The display data matching model can match the original operating data through the display device in a more easily viewable form such as a trend chart.

[0041] Step 105: Control a preset display device to display according to the display data.

[0042] The operating data of the electrical signal is sent out in the form of an optical signal through the lighting device, and the operating data of the optical signal is restored to an electrical signal through the receiving device, thereby reducing the electromagnetic interference of the power system during the transportation data transmission, and controlling the display device to display the temperature, current, voltage and other parameters of the power system according to the display data, so as to facilitate the staff to judge the operating status of the power system.

[0043] Reference Figure 2 , a sensor access method for the Internet of Things, further comprising the following steps: Step 106: Acquire a distance image between the receiving device and the lighting device.

[0044] The spacing image refers to a picture showing the spatial relationship between the receiving device and the lighting device. The spacing image can be obtained through a camera. The method for obtaining the spacing image is selected by the staff according to the actual situation and will not be elaborated here.

[0045] Step 107: Identify the device distance from a preset distance recognition model according to the distance image, and obtain the ambient brightness of the environment.

[0046] The distance recognition model refers to a neural network model obtained in advance through sample training. The distance recognition model can recognize the distance between the receiving device and the lighting device in the distance image and define the distance as the device distance.

[0047] Ambient brightness refers to the brightness of the environment in which the receiving device and the lighting device are located. The ambient brightness can be obtained through distance image recognition, and the ambient brightness can also be directly obtained through a photosensitive sensor. The method for obtaining the ambient brightness is selected by the staff according to the actual situation and will not be elaborated here.

[0048] Step 108: Matching a reference brightness from a preset reference brightness matching model according to the ambient brightness and the device distance.

[0049] The reference brightness matching model refers to a neural network model obtained in advance through sample training. The reference brightness matching model can match the brightness value required for the receiving device to receive light of the ambient brightness through the lighting device, and define the brightness value as the reference brightness.

[0050] Step 109: Matching a comparison signal from a preset comparison signal conversion model according to the reference brightness and the operating data.

[0051] The comparison signal conversion model refers to a neural network model obtained in advance through sample training. The comparison signal conversion model can match the light signal emitted by the lighting device under the ambient brightness so that the receiving device can clearly identify it, and define the light signal as the comparison signal.

[0052] Step 110: Control a preset lighting device to emit light according to the comparison signal.

[0053] The peak and valley values ​​of the light signal emitted by the lighting device are adjusted according to the brightness of the environment, so that the receiving device can receive clear light signals under different ambient brightness conditions, thereby improving the stability of signal transmission.

[0054] Reference Figure 3 , the infrared transceiver method comprises the following steps: Step 200: When the ambient brightness exceeds a preset brightness recognition interval, the ambient temperature of the environment is obtained.

[0055] The brightness recognition range refers to the range of ambient brightness values ​​in which the receiving device still cannot clearly identify the light signal when the lighting device is working at a higher power. The brightness recognition range is selected by the staff based on actual conditions and will not be elaborated here.

[0056] The ambient brightness exceeding the preset brightness recognition interval represents that the ambient brightness value is greater than the upper limit value of the brightness recognition interval. At this time, the light signal emitted by the lighting device is greatly interfered by the ambient light.

[0057] The ambient temperature refers to the temperature of the environment in which the receiving device and the lighting device are located. The ambient temperature can be directly obtained through a thermistor. The method for obtaining the ambient temperature is selected by the staff according to the actual situation and will not be elaborated here.

[0058] Step 201: Matching a reference power from a preset reference power matching model according to the ambient temperature and the device distance.

[0059] The infrared device refers to a device installed on the sensor and used to send the operating data of the electrical signal in the form of an infrared signal. The infrared device is set corresponding to the receiving device. The infrared device is selected by the staff according to the actual situation and will not be elaborated here.

[0060] The reference power matching model refers to a neural network model obtained in advance through sample training. The reference power matching model can match the power value required for the receiving device to receive the infrared signal of the ambient temperature through the infrared device, and define the power value as the reference power.

[0061] Step 202: Match a differential signal from a preset differential signal conversion model according to the reference power and the operating data.

[0062] The differential signal conversion model refers to a neural network model obtained in advance through sample training. The differential signal conversion model can match the infrared signal emitted by the infrared device at ambient temperature so that the receiving device can clearly identify it, and define the infrared signal as a differential signal.

[0063] Step 203: Control a preset infrared device to start according to the differential signal, and control a preset receiving device to obtain an infrared light signal.

[0064] The infrared light signal is a differential signal sent by the infrared device and received by the receiving device.

[0065] Step 204: Match the power data from a preset infrared light signal conversion model according to the infrared light signal.

[0066] The infrared light signal conversion model refers to a neural network model obtained through sample training in advance. The infrared light signal conversion model can restore the infrared light signal to the original operating data, and the power data is the conversion result obtained by matching the infrared light signal conversion model.

[0067] Reference Figure 4 , the light penetration method comprises the following steps: Step 300: Obtain ambient humidity.

[0068] Ambient humidity refers to the humidity of the environment in which the receiving device and the lighting device are located. The ambient humidity can be directly obtained through a humidity sensor. The method for obtaining the ambient humidity is selected by the staff according to the actual situation and will not be elaborated here.

[0069] Step 301: When the ambient humidity exceeds a preset fog penetration interval, the light wavelength is matched from a preset light wavelength matching model according to the ambient humidity.

[0070] When light passes through water vapor in the air, it is easy to scatter. The more water vapor in the air, the greater the scattering rate of light. The fog penetration range refers to the range of environmental humidity values ​​where the scattering rate of light is smaller. The fog penetration range is selected by the staff based on actual conditions and will not be elaborated here.

[0071] The ambient humidity exceeding the fog penetration interval means that the ambient humidity value is greater than the maximum value of the fog penetration interval. At this time, the scattering rate of light is high, which can easily lead to a decrease in the intensity of light received by the receiving device, thereby causing errors in the visible light signal received by the receiving device.

[0072] Generally speaking, the longer the wavelength of light, the smaller its scattering coefficient, that is, red light is less affected by water vapor than light with shorter wavelengths such as blue light and green light. The light wavelength matching model refers to a neural network model obtained through sample training in advance. The light wavelength matching model can match the light wavelength with a lower scattering rate under ambient humidity.

[0073] Step 302: Match the fog penetration signal from a preset fog penetration signal matching model according to the light wavelength, reference brightness and operation data.

[0074] The fog penetration signal matching model refers to a neural network model obtained through sample training in advance. The fog penetration signal matching model can match the light signal emitted by the lighting device under ambient humidity that can be clearly recognized by the receiving device, and define the light signal as the fog penetration signal.

[0075] Step 303: Control a preset lighting device to start according to the fog penetration signal.

[0076] The wavelength of the light emitted by the lighting device is adjusted according to the ambient humidity, thereby reducing the error in signal transmission caused by excessive light scattering.

[0077] Reference Figure 5 The light penetration method further includes the following steps: Step 304: When the ambient humidity exceeds the preset mist penetration range, the mist dispersing wind force is matched from a preset mist dispersing wind force matching model according to the device spacing.

[0078] The blowing device refers to a device for blowing air that is arranged on the receiving device and faces the sensor. The blowing device is selected by the staff according to the actual situation and will not be described in detail here. The mist dispersing wind force matching model refers to a neural network model obtained through sample training in advance. The mist dispersing wind force matching model can match the mist dispersing wind force that forms an air duct between the lighting device and the receiving device through the blowing device.

[0079] Step 305: Control the preset blowing device to blow away the water vapor between the lighting device and the receiving device according to the mist dispersing wind force.

[0080] The air between the lighting device and the receiving device is blown by the blowing device, thereby reducing the humidity of the air between the lighting device and the receiving device, thereby reducing the error caused by the visible light signal received by the receiving device due to the influence of water vapor.

[0081] Step 306: Match the infrared power from a preset infrared power matching model according to the ambient humidity and the device distance.

[0082] The infrared power matching model refers to a neural network model obtained in advance through sample training. The infrared power matching model can match the infrared power of sending an infrared signal from a lighting device to a receiving device through an infrared device to heat the air between the lighting device and the receiving device.

[0083] Step 307: Control the preset infrared device to heat the water vapor between the lighting device and the receiving device according to the infrared power.

[0084] The infrared device sends infrared signals to heat the air between the lighting device and the receiving device, thereby reducing the humidity of the air between the lighting device and the receiving device, thereby reducing the error caused by the water vapor in the visible light signal received by the receiving device. Reference Figure 6 The light penetration method further includes the following steps: Step 308: When the ambient temperature exceeds the preset storage temperature, the recovery time is matched from the preset heat recovery time model according to the ambient temperature and the preset storage temperature.

[0085] The heat recovery device refers to a device used to store heat. The heat recovery device is selected by the staff according to the actual situation and will not be described in detail here. The storage temperature refers to the temperature inside the heat recovery device. The storage temperature can be obtained by querying the ambient temperature record when the heat recovery device was last opened. The method for obtaining the storage temperature is selected by the staff according to the actual situation and will not be described in detail here.

[0086] When the ambient temperature exceeds the storage temperature, it means that the ambient heat is high and it is suitable to collect heat through the heat recovery device. The heat recovery time model refers to a neural network model obtained through sample training in advance. The heat recovery time model can match the recovery time required for the temperature in the heat recovery device to reach the ambient temperature from the storage temperature.

[0087] Step 309: Control the preset heat recovery device to start and stop according to the recovery time, and define the ambient temperature as the storage temperature.

[0088] The heat recovery device is controlled to open when the ambient temperature is high to collect heat, and to close when the temperature inside the heat recovery device is consistent with the ambient temperature, thereby conserving heat in the heat recovery device.

[0089] Step 310: When the ambient humidity exceeds the preset mist penetration interval and the ambient temperature is lower than the preset storage temperature, the release time is matched from the preset heat release time model according to the ambient temperature and the preset storage temperature.

[0090] When the ambient temperature is lower than the storage temperature, it means that heat can be released through the heat recovery device to increase the ambient heat level, thereby increasing the ambient temperature and reducing the ambient humidity. The heat release time model refers to a neural network model obtained through sample training in advance. The heat release time model can match the release time required for the temperature in the heat recovery device to reach the ambient temperature from the storage temperature.

[0091] Step 311: Control the on / off of a preset heat recovery device according to the release time, and define the ambient temperature as the storage temperature.

[0092] The heat recovery device is controlled to open when the ambient temperature is low to release heat, and is closed when the temperature in the heat recovery device is consistent with the ambient temperature, thereby increasing the heat level of the environment, thereby increasing the ambient temperature and reducing the ambient humidity.

[0093] Reference Figure 7 The light penetration method further includes the following steps: Step 312: Obtain the actual angle of the focusing plate.

[0094] A focusing plate refers to a device that is installed on a lighting device and is used to refract the light emitted by the lighting device. Multiple focusing plates can be evenly arranged around the lighting device. The focusing plates are selected by the staff according to actual conditions and will not be described in detail here.

[0095] The actual angle refers to the real-time angle value of the focusing plate with reference to the horizontal plane. The actual angle can be obtained through an angle sensor. The method for obtaining the actual angle is selected by the staff according to the actual situation and will not be elaborated here.

[0096] Step 313: When the ambient humidity exceeds the preset fog penetration interval, the focusing angle is matched from the preset focusing angle matching model according to the device spacing.

[0097] The focusing angle matching model refers to a neural network model obtained in advance through sample training. The focusing angle matching model can match the focusing angle of the light of the lighting device refracted to the receiving device through the focusing plate, where the focusing angle refers to the angle value with the focusing plate and the lighting device as reference.

[0098] Step 314: Match the adjustment angle from a preset adjustment angle matching model according to the actual angle and the focusing angle.

[0099] The adjustment angle matching model refers to a neural network model obtained in advance through sample training. The adjustment angle matching model can match the adjustment angle required to refract the light of the lighting device to the receiving device through the focusing plate.

[0100] Step 315: Control the focusing plate preset on the lighting device to rotate according to the adjustment angle.

[0101] The light dissipated by the lighting device is gathered by the focusing plate, thereby increasing the light intensity emitted by the lighting device, and then increasing the light intensity received by the receiving device, reducing the situation in which the light scattering rate increases when the humidity is too high, resulting in a decrease in the light intensity received by the receiving device.

[0102] Reference Figure 8 , the fault analysis method includes the following steps: Step 400: Determine whether a fault occurs in the power system based on the power data from a preset fault identification model.

[0103] The fault identification model refers to a neural network model obtained through sample training in advance. The fault identification model can determine whether a fault occurs in the power system based on the operating parameters of the power system such as temperature, current, voltage, etc. in the power data.

[0104] Step 401: When a fault occurs in the power system, fault information is generated from a preset fault information generation model according to power data.

[0105] The fault information generation model refers to a neural network model obtained in advance through sample training. The fault information generation model can identify the specific data of the power system fault and the possible causes of the fault based on the operating parameters of the power system such as temperature, current, voltage, etc. in the power data. The fault information is the data set of error parameters and possible causes of the fault identified by the fault information generation model.

[0106] Step 402: Match warning data from a preset display data matching model according to the fault information.

[0107] Warning data is the data converted into fault information and displayed to the staff through a display device.

[0108] Step 403: Control a preset display device to issue a fault warning according to the warning data.

[0109] By detecting the operating parameters of the power system, abnormal parameters of the power system are identified, and the causes of the abnormality are inferred. The abnormal parameters and the inferred causes are presented to the staff through a display device to improve the accuracy and timeliness of the decisions made by the staff.

[0110] Reference Fig. 9 , the data modulation method comprises the following steps: Step 500: Match a modulation signal according to the operation data and a preset signal modulation method.

[0111] The signal modulation method refers to the method used to modulate the operating data, generally using pulse position modulation PPM, quadrature amplitude modulation QAM and other methods. The signal modulation method is selected by the staff according to the actual situation and will not be elaborated here. The modulated signal is the result of modulating the operating data through the signal modulation method.

[0112] Step 501: Convert a modulation signal into a light signal according to a preset light signal conversion model.

[0113] The modulated signal in the form of a modulated electrical signal is matched through a lighting signal conversion model to obtain a lighting signal for controlling the lighting device.

[0114] Step 502: Control a preset lighting device to start according to the lighting signal, and control a preset receiving device to obtain a visible light signal.

[0115] The modulated signal in the form of an electrical signal is converted into an optical signal by turning on and off the lighting device. The visible light signal is the modulated signal in the form of an optical signal received by the receiving device.

[0116] Step 503: Match the power data from a preset visible light signal conversion model according to the visible light signal.

[0117] The power data is the modulated signal obtained by restoring the visible light signal through the visible light signal conversion model.

[0118] Step 504: A demodulated signal is matched according to the power data using a preset signal demodulation method.

[0119] The signal demodulation method refers to a method for demodulating a signal. The signal demodulation method is set corresponding to the signal modulation method. The demodulated signal is the result obtained after demodulating the power data through the signal demodulation method.

[0120] Step 505: Match the display data from a preset display data matching model according to the demodulated signal.

[0121] Display data refers to data that displays the original demodulated signal in a more easily viewable form such as a trend graph through a display device.

[0122] Based on the same inventive concept, an embodiment of the present invention provides a sensor access system for the Internet of Things, including: The acquisition module is used to acquire operation data, visible light signals, spacing images, ambient brightness, infrared light signals, ambient temperature, ambient humidity and actual angle.

[0123] A memory is used to store a program of a control method of any of the above-mentioned sensor access methods for the Internet of Things.

[0124] The program in the processor memory can be loaded and executed by the processor and implement the control method of any of the above-mentioned sensor access methods of the Internet of Things.

[0125] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0126] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A sensor access method for the Internet of Things, It is characterized in that include: Obtaining operation data of power system; Converting into light signals from a preset light signal conversion model according to operation data; Control the preset lighting device to start according to the lighting signal, and control the preset receiving device to obtain the visible light signal; Matching power data from a preset visible light signal conversion model according to the visible light signal; Matching display data from a preset display data matching model according to the power data; The preset display device is controlled to display according to the display data.

2. According to claim 1, a sensor access method for the Internet of Things, It is characterized in that Also includes: Acquire a distance image between the receiving device and the lighting device; Identify the device spacing from a preset spacing recognition model according to the spacing image, and obtain the ambient brightness of the environment; Matching a reference brightness from a preset reference brightness matching model according to the ambient brightness and the device distance; Matching a comparison signal from a preset comparison signal conversion model according to the reference brightness and the operating data; The preset lighting device is controlled to emit light according to the comparison signal.

3. According to claim 2, a sensor access method for the Internet of Things, It is characterized in that It also includes an infrared transceiver method, the infrared transceiver method comprising: When the ambient brightness exceeds the preset brightness recognition range, the ambient temperature of the environment is obtained; Matching the reference power from a preset reference power matching model according to the ambient temperature and the device spacing; Matching a differential signal from a preset differential signal conversion model according to the reference power and the operating data; Controlling the preset infrared device to start according to the differential signal, and controlling the preset receiving device to obtain the infrared light signal; The power data is matched from a preset infrared light signal conversion model according to the infrared light signal.

4. The sensor access method of the Internet of Things according to claim 3, It is characterized in that The invention also includes a light-through-fog method, wherein the light-through-fog method comprises: Get the ambient humidity; When the ambient humidity exceeds the preset fog penetration range, the light wavelength is matched from the preset light wavelength matching model according to the ambient humidity; Matching the fog penetration signal from the preset fog penetration signal matching model according to the light wavelength, reference brightness and operation data; The preset lighting device is activated according to the fog penetration signal control.

5. A sensor access method for the Internet of Things according to claim 4, It is characterized in that The light-through-fog method further comprises: When the ambient humidity exceeds the preset fog penetration range, the fog dispersing wind force is matched from the preset fog dispersing wind force matching model according to the device spacing; Control the preset blowing device according to the mist dispersing wind force to blow away the water vapor between the lighting device and the receiving device; Matching infrared power from a preset infrared power matching model according to ambient humidity and device spacing; The preset infrared device is controlled according to the infrared power to heat the water vapor between the lighting device and the receiving device.

6. A sensor access method for the Internet of Things according to claim 5, It is characterized in that The light-through-fog method further comprises: When the ambient temperature exceeds the preset storage temperature, the recovery time is matched from the preset heat recovery time model according to the ambient temperature and the preset storage temperature; Control the on / off of the preset heat recovery device according to the recovery time, and define the ambient temperature as the storage temperature; When the ambient humidity exceeds the preset mist penetration range and the ambient temperature is lower than the preset storage temperature, the release time is matched from the preset heat release time model according to the ambient temperature and the preset storage temperature; The preset heat recovery device is turned on and off according to the release time, and the ambient temperature is defined as the storage temperature.

7. The sensor access method of the Internet of Things according to claim 5, It is characterized in that The light-through-fog method further comprises: Get the actual angle of the condenser; When the ambient humidity exceeds the preset fog penetration range, the focusing angle is matched from the preset focusing angle matching model according to the device spacing; Matching the adjustment angle from a preset adjustment angle matching model according to the actual angle and the spotlight angle; The focusing plate preset on the lighting device is controlled to rotate according to the adjustment angle.

8. The sensor access method of the Internet of Things according to claim 1, It is characterized in that Also included is a fault analysis method, the fault analysis method comprising: Determine whether a power system fault occurs based on power data from a preset fault identification model; When a fault occurs in the power system, fault information is generated from a preset fault information generation model according to power data; Matching warning data from a preset display data matching model according to the fault information; A preset display device is controlled to issue a fault warning according to the warning data.

9. The sensor access method of the Internet of Things according to claim 1, It is characterized in that Also included is a data modulation method, the data modulation method comprising: Matching a modulation signal according to the operation data and a preset signal modulation method; Converting the modulation signal into a light signal from a preset light signal conversion model according to the modulation signal; Control the preset lighting device to start according to the lighting signal, and control the preset receiving device to obtain the visible light signal; Matching power data from a preset visible light signal conversion model according to the visible light signal; According to the power data, a demodulation signal is matched according to a preset signal demodulation method; Display data is matched from a preset display data matching model according to the demodulated signal.

10. A sensor access system for the Internet of Things, It is characterized in that include: An acquisition module is used to acquire operation data, visible light signals, spacing images, ambient brightness, infrared light signals, ambient temperature, ambient humidity and actual angle; A memory, used to store a program of a sensor access method for an Internet of Things according to any one of claims 1 to 9; The program in the memory can be loaded and executed by the processor and implement a sensor access method for the Internet of Things as described in any one of claims 1 to 9.

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