A method and device for adjusting the brightness of an infrared light source

Abstract

The present invention belongs to the technical field of light source brightness adjustment, and provides a method and device for adjusting the brightness of an infrared light source. The method includes: using a brightness adjustment remote control platform to obtain ambient light data of the environment where the infrared light source is located; obtaining the ambient light brightness according to the ambient light data, and setting several ambient light brightness intervals; based on the ambient light brightness intervals, adjusting the brightness of the infrared light source through a control circuit connected to the infrared light source to obtain the adjusted brightness of the infrared light source; based on the adjusted brightness and the ambient light brightness, performing a brightness conformity evaluation using a preset brightness conformity evaluation condition. If the brightness conformity evaluation result meets the expectation, the adjusted brightness is confirmed. The present invention uses a brightness adjustment remote control platform to control the brightness adjustment of the infrared light source, and performs a brightness conformity evaluation based on the brightness conformity evaluation condition and then confirms it, which can ensure the efficiency of the brightness adjustment and the effect of the brightness adjustment.

Description

Technical Field

[0001] The present invention relates to the technical field of light source brightness adjustment, and particularly to a method and device for adjusting the brightness of an infrared light source. Background Art

[0002] Currently, more and more medium and low-power LED infrared light sources are used in security cameras and applied to surveillance night vision devices, playing an outstanding role in enhancing the security of public places such as streets, railway stations, airports, and schools by leveraging the advantages of high reliability and high stable output power. However, once such infrared light sources are installed, they are generally set to a fixed brightness and cannot adjust the brightness. If the infrared light source remains at a fixed high brightness for a long time, due to the large amount of heat it emits, it will affect the performance of the infrared light source and shorten the service life of the infrared light source.

[0003] Therefore, it is necessary to provide a method and device for adjusting the brightness of an infrared light source. Summary of the Invention

[0004] The present invention provides a method and device for adjusting the brightness of an infrared light source. By using a brightness adjustment remote control platform, the infrared light source is controlled to adjust its brightness based on different ambient light brightnesses, and a brightness conformity evaluation is performed based on the brightness conformity evaluation conditions, so as to ensure the efficiency and effect of the brightness adjustment.

[0005] The present invention provides a method for adjusting the brightness of an infrared light source, including:

[0006] S1: Using a brightness adjustment remote control platform, obtain ambient light data of the environment where the infrared light source is located;

[0007] S2: According to the ambient light data, obtain the ambient light brightness and set several ambient light brightness intervals;

[0008] S3: Based on the ambient light brightness interval, adjust the brightness of the infrared light source through a control circuit connected to the infrared light source to obtain the adjusted brightness of the infrared light source;

[0009] S4: Based on the adjusted brightness and the ambient light brightness, perform a brightness conformity evaluation using preset brightness conformity evaluation conditions. If the brightness conformity evaluation result meets the expectation, confirm the adjusted brightness.

[0010] Further, S1 includes:

[0011] S101: Using an ambient light sensor connected to the infrared light source, obtain ambient light data of the environment where the infrared light source is located;

[0012] S102: Based on the Internet of Things, transmit the ambient light data to the brightness adjustment remote control platform.

[0013] Further, setting a plurality of ambient light luminance intervals includes:

[0014] Obtaining the ambient light luminance and the value range of the ambient light luminance from the ambient light data;

[0015] Analyzing the functional characteristics of the infrared light source to obtain the reference luminance of the infrared light source;

[0016] Comparing with the reference luminance, setting corresponding ambient light luminance reference values in the ambient light luminance;

[0017] Comparing with the ambient light luminance reference values, and setting a plurality of ambient luminance intervals in the value range according to a preset adjustment amplitude.

[0018] Further, obtaining the ambient light luminance and the value range of the ambient light luminance includes:

[0019] Constructing a luminance fuzzy recognition model, and using the luminance fuzzy recognition model to perform fuzzy clustering on the ambient light luminance to obtain a clustering data set of the ambient light luminance;

[0020] Setting fuzzy rules, and using the fuzzy rules to perform fuzzy recognition on the clustering data set to respectively obtain a first probability that the ambient light luminance is saturated luminance, a second probability that the ambient light luminance is normal luminance, and a third probability that the ambient light luminance is unsaturated luminance;

[0021] Comparing the probabilities with the probability thresholds, specifically: if the first probability is greater than a preset first probability threshold, or the second probability is greater than a preset second probability threshold, or the third probability is greater than a preset third probability threshold, then setting the value range of the ambient light luminance according to saturated luminance, normal luminance, and unsaturated luminance.

[0022] Further, setting corresponding ambient light luminance reference values in the ambient light luminance includes: obtaining a plurality of normal luminance distribution values within the value range of normal luminance;

[0023] Based on the normal luminance distribution values and the reference luminance, using a working simulation model to perform a working simulation on the efficacy of the infrared light source to obtain a working simulation result; based on the working simulation result, obtaining the optimal efficacy, and obtaining a first normal luminance distribution value corresponding to the optimal efficacy; setting the first normal luminance distribution value as the ambient light luminance reference value.

[0024] Further, S3 includes:

[0025] S301: The brightness adjustment remote control platform generates a brightness adjustment control command based on the conditions satisfied by the ambient light luminance; the conditions are: the ambient light luminance changes, and the ambient light luminance interval where it is located changes;

[0026] S302: According to the brightness adjustment control command, control the control circuit connected to the infrared light source, and adjust the brightness of the infrared light source by changing the circuit parameters to obtain the adjusted brightness of the infrared light source;

[0027] S3 further includes generating a target value for ambient light brightness change based on the prediction of the change trend of ambient light data, setting an automatic generation model for the brightness adjustment control command according to the target value of ambient light brightness change, and automatically generating and executing the brightness adjustment control command according to the automatic generation model of the brightness adjustment command. The specific steps are as follows:

[0028] According to the ambient light data, use the long short-term memory network model to predict the change trend and obtain the change target value of the ambient light brightness within a preset period;

[0029] According to the change target value and the conditions satisfied by the ambient light brightness, use the preset automatic generation model of the brightness adjustment control command to generate several brightness adjustment commands;

[0030] Monitor and obtain the real-time change value of the ambient light data. If the error between the real-time change value and the change target value is less than the preset error threshold, execute the brightness adjustment command in advance; if the error between the real-time change value and the change target value is greater than the preset error threshold, delay the execution of the brightness adjustment command.

[0031] Furthermore, S4 also includes setting the brightness compliance evaluation conditions. The specific steps are as follows:

[0032] Based on the brightness of the infrared light source and the ambient light brightness, use the preset infrared light source efficacy evaluation model to evaluate the efficacy of the infrared light source and obtain the evaluation result;

[0033] Based on the ambient light brightness, use the neural network model to predict the influence degree and obtain the predicted value of the influence degree of the ambient light brightness on the efficacy of the infrared light source;

[0034] Based on the evaluation result and the predicted value of the influence degree, set the brightness compliance evaluation conditions; the brightness compliance evaluation conditions are: the evaluation result is within the preset expected range, and the predicted value of the influence degree is less than the preset influence degree threshold.

[0035] Furthermore, it also includes S5, calculating and evaluating the efficacy of the infrared light source according to the brightness adjustment situation of the infrared light source. The specific steps are as follows:

[0036] S501: Obtain the historical process data of the brightness adjustment of the infrared light source; and based on the historical process data of the brightness adjustment, obtain the efficacy influence data; the efficacy influence data includes: several historical brightness adjustment values of the infrared light source, the duration corresponding to the historical brightness adjustment value, and the probability of a single historical brightness adjustment value appearing in all historical brightness adjustment values;

[0037] S502: Construct a mathematical model for calculating the degradation rate of the infrared light source efficacy based on the Poisson calculation model;

[0038] S503: Calculate the degradation rate of the infrared light source efficacy by using the mathematical model based on the efficacy impact data;

[0039] S504: Evaluate the efficacy of the infrared light source based on the degradation rate of the infrared light source efficacy by using a preset infrared light source efficacy evaluation model. If the evaluation result is lower than the expectation, a risk prompt for the efficacy being lower than the expectation is issued.

[0040] A brightness adjustment device for an infrared light source, comprising:

[0041] An ambient light data acquisition module, configured to use a brightness adjustment remote control platform to acquire the ambient light data of the environment where the infrared light source is located;

[0042] An ambient light data processing module, configured to obtain the ambient light brightness according to the ambient light data and set a plurality of ambient light brightness intervals;

[0043] A brightness adjustment implementation module, configured to adjust the brightness of the infrared light source based on the ambient light brightness interval through a control circuit connected to the infrared light source to obtain the adjusted brightness of the infrared light source;

[0044] A brightness adjustment confirmation module, configured to perform a brightness compliance evaluation based on the adjusted brightness and the ambient light brightness by using a preset brightness compliance evaluation condition. If the brightness compliance evaluation result meets the expectation, the adjusted brightness is confirmed.

[0045] Further, the ambient light data acquisition module includes: using an ambient light sensor connected to the infrared light source to acquire the ambient light data of the environment where the infrared light source is located; transmitting the ambient light data to the brightness adjustment remote control platform based on the Internet of Things.

[0046] Compared with the prior art, the present invention has the following advantages and beneficial effects: By using a brightness adjustment remote control platform, controlling the infrared light source to adjust the brightness based on different ambient light brightnesses, and performing a brightness compliance evaluation based on the brightness compliance evaluation condition for confirmation, the efficiency of the brightness adjustment can be guaranteed, and the effect of the brightness adjustment can be guaranteed.

[0047] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the written specification and the drawings.

[0048] The technical solution of the present invention will be further described in detail below through the drawings and embodiments. Brief Description of the Drawings

[0049] The drawings are used to provide further understanding of the present invention and form a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0050] Figure 1 It is a schematic diagram of the steps of a method for adjusting the brightness of an infrared light source;

[0051] Figure 2 It is a schematic diagram of the steps of a method for obtaining ambient light data of the environment where the infrared light source is located;

[0052] Figure 3 It is a schematic diagram of the structure of a device for adjusting the brightness of an infrared light source. Detailed Description of the Preferred Embodiments

[0053] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0054] The present invention provides a method for adjusting the brightness of an infrared light source, as Figure 1 shown, including:

[0055] S1: Using a brightness adjustment remote control platform, obtain ambient light data of the environment where the infrared light source is located;

[0056] S2: According to the ambient light data, obtain the ambient light brightness and set several ambient light brightness intervals;

[0057] S3: Based on the ambient light brightness intervals, through a control circuit connected to the infrared light source, adjust the brightness of the infrared light source to obtain the adjusted brightness of the infrared light source;

[0058] S4: Based on the adjusted brightness and the ambient light brightness, use a preset brightness conformity evaluation condition to conduct a brightness conformity evaluation. If the brightness conformity evaluation result meets the expectation, confirm the adjusted brightness.

[0059] The working principle of the above technical solution is as follows: In order to achieve the adjustment of the brightness of the infrared light source, the present invention uses a brightness adjustment remote control platform to obtain ambient light data of the environment where the infrared light source is located; according to the ambient light data, obtain the ambient light brightness and set several ambient light brightness intervals; based on the ambient light brightness intervals, through a control circuit connected to the infrared light source, adjust the brightness of the infrared light source to obtain the adjusted brightness of the infrared light source; based on the adjusted brightness and the ambient light brightness, use a preset brightness conformity evaluation condition to conduct a brightness conformity evaluation. If the brightness conformity evaluation result meets the expectation, confirm the adjusted brightness.

[0060] The beneficial effects of the above technical solution are as follows: By adopting the solution provided in this embodiment, through the use of a brightness adjustment remote control platform, the infrared light source is controlled to adjust its brightness according to different ambient light brightnesses, and the brightness compliance is evaluated based on the brightness compliance evaluation conditions, and then confirmed, which can ensure the efficiency of brightness adjustment and the effect of brightness adjustment.

[0061] In one embodiment, as Figure 2 shown, S1 includes:

[0062] S101: Use an ambient light sensor connected to the infrared light source to obtain the ambient light data of the environment where the infrared light source is located;

[0063] S102: Transmit the ambient light data to the brightness adjustment remote control platform based on the Internet of Things.

[0064] The working principle of the above technical solution is as follows: First, use an ambient light sensor connected to the infrared light source to obtain the ambient light data of the environment where the infrared light source is located; then, based on the Internet of Things, transmit the ambient light data to the brightness adjustment remote control platform.

[0065] The beneficial effects of the above technical solution are as follows: By adopting the solution provided in this embodiment, through the transmission of ambient light data based on the Internet of Things, the effective transmission of ambient light data can be ensured.

[0066] In one embodiment, setting several ambient light brightness intervals includes:

[0067] Obtain the ambient light brightness and the value range of the ambient light brightness from the ambient light data;

[0068] Analyze the functional characteristics of the infrared light source to obtain the reference brightness of the infrared light source;

[0069] Compare with the reference brightness and set the corresponding ambient light brightness reference value in the ambient light brightness;

[0070] Compare with the ambient light brightness reference value and set several ambient brightness intervals in the value range according to the preset adjustment amplitude.

[0071] The working principle of the above technical solution is as follows: In order to realize the setting of the ambient brightness interval, first, according to the ambient light data, obtain the ambient light brightness and the value range of the ambient light brightness; then, according to the functional characteristics of the infrared light source, obtain the reference brightness of the infrared light source; according to the reference brightness, set the corresponding ambient light brightness reference value in the ambient light brightness; finally, according to the ambient light brightness reference value, set several ambient brightness intervals in the value range according to the preset adjustment amplitude.

[0072] The beneficial effects of the above technical solution are as follows: By adopting the solution provided in this embodiment and setting the ambient brightness range according to the ambient light data in combination with the reference brightness of the infrared light source, the correctness of setting the ambient brightness range can be improved.

[0073] In one embodiment, obtaining the ambient light brightness and the value range of the ambient light brightness includes:

[0074] Construct a brightness fuzzy recognition model, and use this brightness fuzzy recognition model to perform fuzzy clustering on the ambient light brightness to obtain a clustering data set of the ambient light brightness;

[0075] Set fuzzy rules, and use these fuzzy rules to perform fuzzy recognition on the clustering data set to respectively obtain a first probability that the ambient light brightness is saturated brightness, a second probability that the ambient light brightness is normal brightness, and a third probability that the ambient light brightness is unsaturated brightness;

[0076] Compare the probabilities with the probability thresholds. Specifically, if the first probability is greater than the preset first probability threshold, or the second probability is greater than the preset second probability threshold, or the third probability is greater than the preset third probability threshold, then set the value range of the ambient light brightness according to the saturated brightness, normal brightness, and unsaturated brightness.

[0077] The working principle of the above technical solution is as follows: Use the constructed brightness fuzzy recognition model to perform fuzzy clustering on the ambient light brightness to obtain a clustering data set of the ambient light brightness; then perform fuzzy recognition on the clustering data set according to the preset fuzzy rules to respectively obtain a first probability that the ambient light brightness is saturated brightness, a second probability that the ambient light brightness is normal brightness, and a third probability that the ambient light brightness is unsaturated brightness; if the first probability is greater than the preset first probability threshold, or the second probability is greater than the preset second probability threshold, or the third probability is greater than the preset third probability threshold, then set the value range of the ambient light brightness according to the saturated brightness, normal brightness, and unsaturated brightness.

[0078] The beneficial effects of the above technical solution are as follows: By adopting the solution provided in this embodiment and performing fuzzy recognition using the constructed brightness fuzzy recognition model, an accurate value range can be guaranteed to be obtained.

[0079] In one embodiment, setting a corresponding ambient light brightness reference value in the ambient light brightness includes: obtaining several normal brightness distribution values within the value range of normal brightness;

[0080] Based on the normal brightness distribution values and the reference brightness, use a working simulation model to perform a working simulation on the infrared light source efficacy to obtain a working simulation result; based on the working simulation result, obtain the optimal efficacy and the first normal brightness distribution value corresponding to the optimal efficacy; set the first normal brightness distribution value as the ambient light brightness reference value.

[0081] The working principle of the above technical solution is as follows: Obtain a number of normal brightness distribution values within the range of normal brightness values; Based on the normal brightness distribution values and the reference brightness, use the working simulation model to perform a working simulation on the efficacy of the infrared light source to obtain a working simulation result; Based on the working simulation result, obtain the optimal efficacy and the corresponding first normal brightness distribution value; Set the first normal brightness distribution value as the ambient light brightness reference value.

[0082] The beneficial effect of the above technical solution is as follows: By adopting the solution provided in this embodiment, through using the working simulation model to simulate the efficacy of the infrared light source and setting the ambient light brightness reference value according to the simulation result, the correctness of setting the ambient light brightness reference value can be ensured.

[0083] In one embodiment, S3 includes:

[0084] S301: The brightness adjustment remote control platform generates a brightness adjustment control command based on the conditions satisfied by the ambient light brightness; The conditions are: The ambient light brightness changes and causes the ambient light brightness interval where it is located to change;

[0085] S302: According to the brightness adjustment control command, control the control circuit connected to the infrared light source, and adjust the brightness of the infrared light source by changing the circuit parameters to obtain the adjusted brightness of the infrared light source;

[0086] S3 further includes generating a target value for ambient light brightness change based on the prediction of the change trend of ambient light data, setting an automatic generation model for the brightness adjustment control command according to the target value for ambient light brightness change, and automatically generating and executing the brightness adjustment control command according to the automatic generation model for the brightness adjustment command. The specific steps are as follows:

[0087] According to the ambient light data, use the long short-term memory network model to predict the change trend and obtain the target value for the change of the ambient light brightness within a preset period;

[0088] According to the target value for the change and the conditions satisfied by the ambient light brightness, use the preset automatic generation model for the brightness adjustment control command to generate a number of brightness adjustment commands;

[0089] Monitor and obtain the real-time change value of the ambient light data. If the error between the real-time change value and the target value for the change is less than the preset error threshold, execute the brightness adjustment command in advance; If the error between the real-time change value and the target value for the change is greater than the preset error threshold, delay the execution of the brightness adjustment command.

[0090] The working principle of the above technical solution is as follows: First, based on the brightness adjustment remote control platform, according to the conditions satisfied by the ambient light brightness, a brightness adjustment control command is generated; the conditions are that the ambient light brightness changes and the ambient light brightness interval where it is located changes; then, according to the brightness adjustment control command, the control circuit connected to the infrared light source is controlled, and the brightness of the infrared light source is adjusted by changing the circuit parameters to obtain the adjusted brightness of the infrared light source, which can ensure the effect of brightness adjustment.

[0091] It also includes generating a target value for the change in ambient light brightness based on the prediction of the change trend of ambient light data, setting an automatic generation model for the brightness adjustment control command according to the target value for the change in ambient light brightness, and automatically generating and executing the brightness adjustment control command according to the automatic generation model for the brightness adjustment command. The specific steps are as follows: According to the ambient light data, use the long short-term memory network model to predict the change trend and obtain the target value for the change in ambient light brightness within a preset period; according to the target value for the change and the conditions satisfied by the ambient light brightness, use the preset automatic generation model for the brightness adjustment control command to generate several brightness adjustment commands; monitor and obtain the real-time change value of the ambient light data. If the error between the real-time change value and the target value for the change is less than the preset error threshold, the brightness adjustment command is executed in advance; if the error between the real-time change value and the target value for the change is greater than the preset error threshold, the execution of the brightness adjustment command is delayed.

[0092] The beneficial effects of the above technical solution are as follows: By adopting the solution provided in this embodiment, the brightness of the infrared light source is adjusted through the brightness adjustment control command and based on the control circuit, which can ensure the effect of brightness adjustment; by generating a target value for the change in ambient light brightness based on the prediction of the change trend of ambient light data, setting an automatic generation model for the brightness adjustment control command according to the target value for the change in ambient light brightness, and automatically generating and executing the brightness adjustment control command according to the automatic generation model for the brightness adjustment command, the intelligent level of generating the brightness adjustment control command can be improved and the execution accuracy can be enhanced.

[0093] In one embodiment, S4 also includes setting the brightness compliance evaluation conditions. The specific steps are as follows:

[0094] Based on the brightness of the infrared light source and the ambient light brightness, use the preset infrared light source efficacy evaluation model to evaluate the efficacy of the infrared light source and obtain the evaluation result;

[0095] Based on the ambient light brightness, use the neural network model to predict the degree of influence and obtain the predicted value of the degree of influence of the ambient light brightness on the efficacy of the infrared light source;

[0096] Based on the evaluation result and the predicted value of the influence degree, set the evaluation conditions for brightness conformity; the evaluation conditions for brightness conformity are: the evaluation result is within the preset expected range, and the predicted value of the influence degree is less than the preset influence degree prediction threshold.

[0097] The working principle of the above technical solution is: In order to set the evaluation conditions for brightness conformity, first, based on the brightness of the infrared light source and the ambient light brightness, use the preset infrared light source efficacy evaluation model to evaluate the efficacy of the infrared light source to obtain an evaluation result; then, based on the ambient light brightness, use the neural network model to predict the influence degree and obtain the predicted value of the influence degree of the ambient light brightness on the efficacy of the infrared light source; finally, based on the evaluation result and the predicted value of the influence degree, set the evaluation conditions for brightness conformity; the evaluation conditions for brightness conformity are: the evaluation result is within the preset expected range, and the predicted value of the influence degree is less than the preset influence degree prediction threshold.

[0098] The beneficial effect of the above technical solution is: By adopting the solution provided in this embodiment, through evaluation and prediction based on the evaluation model and the neural network model, reliable evaluation conditions for brightness conformity can be ensured.

[0099] In one embodiment, it further includes S5, which calculates and evaluates the efficacy of the infrared light source according to the brightness adjustment situation of the infrared light source; the specific steps are as follows:

[0100] S501: Obtain the historical process data of the brightness adjustment of the infrared light source; and based on the historical process data of the brightness adjustment, obtain the efficacy influence data; the efficacy influence data includes: the historical brightness adjustment values of several infrared light sources, the duration corresponding to the historical brightness adjustment value, and the probability of a single historical brightness adjustment value appearing in all historical brightness adjustment values;

[0101] S502: Based on the Poisson calculation model, construct a mathematical model for calculating the efficacy decline rate of the infrared light source;

[0102] S503: Based on the efficacy influence data, use the mathematical model to calculate the efficacy decline rate of the infrared light source;

[0103] S504: Based on the efficacy decline rate of the infrared light source, use the preset infrared light source efficacy evaluation model to evaluate the efficacy of the infrared light source. If the evaluation result is lower than the expectation, a risk prompt that the efficacy is lower than the expectation is issued.

[0104] The working principle of the above technical solution is as follows: Calculate and evaluate the efficacy of the infrared light source according to the brightness adjustment situation of the infrared light source. The specific steps are as follows: First, obtain the historical process data of the brightness adjustment of the infrared light source; and based on the historical process data of the brightness adjustment, obtain the efficacy impact data. The efficacy impact data includes: the historical brightness adjustment values of several infrared light sources, the duration corresponding to the historical brightness adjustment values, and the probability of a single historical brightness adjustment value appearing in all historical brightness adjustment values. Then, construct a mathematical model for calculating the efficacy decline rate of the infrared light source based on the Poisson calculation model; based on the efficacy impact data, use the mathematical model to calculate the efficacy decline rate of the infrared light source; finally, based on the efficacy decline rate of the infrared light source, use the preset infrared light source efficacy evaluation model to evaluate the efficacy of the infrared light source. If the evaluation result is lower than the expected value, a risk prompt for the efficacy being lower than the expected value is issued.

[0105] The beneficial effects of the above technical solution are as follows: By adopting the solution provided in this embodiment, calculating and evaluating the efficacy of the infrared light source according to the brightness adjustment situation of the infrared light source can improve the effect of calculating and evaluating the efficacy of the infrared light source and facilitate the timely discovery of infrared light sources with declining efficacy.

[0106] A brightness adjustment device for an infrared light source, as Figure 3 shown, includes:

[0107] An ambient light data acquisition module, configured to use a brightness adjustment remote control platform to acquire ambient light data of the environment where the infrared light source is located;

[0108] An ambient light data processing module, configured to obtain the ambient light brightness according to the ambient light data and set several ambient light brightness intervals;

[0109] A brightness adjustment implementation module, configured to adjust the brightness of the infrared light source based on the ambient light brightness interval through a control circuit connected to the infrared light source to obtain the adjusted brightness of the infrared light source;

[0110] A brightness adjustment confirmation module, configured to perform brightness conformity evaluation based on the adjusted brightness and the ambient light brightness using a preset brightness conformity evaluation condition. If the brightness conformity evaluation result meets the expectation, the adjusted brightness is confirmed.

[0111] The working principle of the above technical solution is as follows: In order to implement the brightness adjustment device of the infrared light source, the present invention sets an ambient light data acquisition module, which uses a brightness adjustment remote control platform to acquire the ambient light data of the environment where the infrared light source is located; sets an ambient light data processing module, which obtains the ambient light brightness according to the ambient light data and sets several ambient light brightness intervals; sets a brightness adjustment implementation module, which adjusts the brightness of the infrared light source based on the ambient light brightness interval through a control circuit connected to the infrared light source to obtain the adjusted brightness of the infrared light source; sets a brightness adjustment confirmation module, which conducts a brightness conformity evaluation based on the adjusted brightness and the ambient light brightness by using a preset brightness conformity evaluation condition. If the result of the brightness conformity evaluation meets the expectation, the adjusted brightness is confirmed.

[0112] The beneficial effect of the above technical solution is as follows: By adopting the solution provided in this embodiment, through the use of a brightness adjustment remote control platform, the brightness of the infrared light source is controlled to be adjusted based on different ambient light brightnesses, and a brightness conformity evaluation is conducted based on the brightness conformity evaluation condition and then confirmed, which can ensure the efficiency of brightness adjustment and the effect of brightness adjustment.

[0113] In one embodiment, the ambient light data acquisition module includes: using an ambient light sensor connected to the infrared light source to acquire the ambient light data of the environment where the infrared light source is located; based on the Internet of Things network, transmitting the ambient light data to the brightness adjustment remote control platform.

[0114] The working principle of the above technical solution is as follows: Using an ambient light sensor connected to the infrared light source to acquire the ambient light data of the environment where the infrared light source is located; based on the Internet of Things network, transmitting the ambient light data to the brightness adjustment remote control platform.

[0115] The beneficial effect of the above technical solution is as follows: By adopting the solution provided in this embodiment, the effective transmission of ambient light data can be ensured by transmitting the ambient light data based on the Internet of Things network.

[0116] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A method for adjusting the brightness of an infrared light source, characterized in that: include: S1: Use the brightness adjustment remote control platform to obtain the ambient light data of the environment where the infrared light source is located; S2: According to the ambient light data, obtain the ambient light brightness and set several ambient light brightness intervals; S3: Based on the ambient light brightness range, the brightness of the infrared light source is adjusted through a control circuit connected to the infrared light source to obtain an adjusted brightness of the infrared light source; S4: Based on the adjusted brightness and the ambient light brightness, a brightness fit evaluation is performed using a preset brightness fit evaluation condition. If the brightness fit evaluation result meets expectations, the adjusted brightness is confirmed; Setting several ambient light brightness intervals includes: From the ambient light data, obtain the ambient light brightness and the value range of the ambient light brightness; Analyze the functional characteristics of the infrared light source and obtain the reference brightness of the infrared light source; According to the reference brightness of the infrared light source, a corresponding ambient light brightness reference value is set in the ambient light brightness; By comparing the ambient light brightness reference value of the infrared light source, and according to a preset adjustment range, setting a plurality of ambient brightness intervals in the value range; Get the ambient light brightness and the value range of the ambient light brightness include: Constructing a brightness fuzzy recognition model, and using the brightness fuzzy recognition model to perform fuzzy clustering on the ambient light brightness to obtain a clustering data set of the ambient light brightness; A fuzzy rule is set, and the fuzzy rule is used to perform fuzzy recognition on the cluster data set, and a first probability that the ambient light brightness is saturated brightness, a second probability that the ambient light brightness is normal brightness, and a third probability that the ambient light brightness is unsaturated brightness are obtained respectively; The first probability, the second probability, and the third probability are respectively compared with the corresponding probability thresholds, specifically: if the first probability is greater than the preset first probability threshold, the ambient light brightness is set according to the saturated brightness value range; if the second probability is greater than the preset second probability threshold, the ambient light brightness is set according to the normal brightness value range; if the third probability is greater than the preset third probability threshold, the ambient light brightness is set according to the unsaturated brightness value range; Setting the corresponding ambient light brightness reference value in the ambient light brightness includes: obtaining a number of normal brightness distribution values ​​within a value range of normal brightness; Based on the normal brightness distribution value and the reference brightness, using the working simulation model, the infrared light source is simulated to obtain a working simulation result; based on the working simulation result, the optimal performance is obtained, and the first normal brightness distribution value corresponding to the optimal performance is obtained; the first normal brightness distribution value is set as the ambient light brightness reference value; S3 also includes generating an ambient light brightness change target value based on a prediction of a change trend of the ambient light data, setting a brightness adjustment control command automatic generation model according to the ambient light brightness change target value, and automatically generating and executing the brightness adjustment control command according to the brightness adjustment command automatic generation model. The specific steps are: According to the ambient light data, the long short-term memory network model is used to predict the change trend and obtain the target value of the ambient light brightness within a preset period; According to the conditions satisfied by the target value of the change and the ambient light brightness, a model is automatically generated using a preset brightness adjustment control command to generate a number of brightness adjustment commands; Monitor and obtain the real-time change value of ambient light data. If the error between the real-time change value and the change target value is less than the preset error threshold, the brightness adjustment command is executed in advance; if the error between the real-time change value and the change target value is greater than the preset error threshold, the brightness adjustment command is executed with a delay.

2. The method for adjusting the brightness of an infrared light source according to claim 1, characterized in that: S1 includes: S101: using an ambient light sensor connected to the infrared light source to obtain ambient light data of the environment where the infrared light source is located; S102: Based on the Internet of Things network, the ambient light data is transmitted to the brightness adjustment remote control platform.

3. A brightness adjustment device for an infrared light source, characterized in that: include: An ambient light data acquisition module is used to acquire ambient light data of the environment where the infrared light source is located by using a brightness adjustment remote control platform; The ambient light data processing module is used to obtain the ambient light brightness according to the ambient light data and set a number of ambient light brightness intervals; A brightness adjustment implementation module is used to adjust the brightness of the infrared light source based on the ambient light brightness range through a control circuit connected to the infrared light source to obtain an adjusted brightness of the infrared light source; A brightness adjustment confirmation module is used to perform brightness fit assessment based on the adjusted brightness and the ambient light brightness using preset brightness fit assessment conditions, and if the brightness fit assessment result meets expectations, the adjusted brightness is confirmed; Setting several ambient light brightness intervals includes: From the ambient light data, obtain the ambient light brightness and the value range of the ambient light brightness; Analyze the functional characteristics of the infrared light source and obtain the reference brightness of the infrared light source; According to the reference brightness of the infrared light source, a corresponding ambient light brightness reference value is set in the ambient light brightness; By comparing the ambient light brightness reference value of the infrared light source, and according to a preset adjustment range, setting a plurality of ambient brightness intervals in the value range; Get the ambient light brightness and the value range of the ambient light brightness include: Constructing a brightness fuzzy recognition model, and using the brightness fuzzy recognition model to perform fuzzy clustering on the ambient light brightness to obtain a clustering data set of the ambient light brightness; A fuzzy rule is set, and the fuzzy rule is used to perform fuzzy recognition on the cluster data set, and a first probability that the ambient light brightness is saturated brightness, a second probability that the ambient light brightness is normal brightness, and a third probability that the ambient light brightness is unsaturated brightness are obtained respectively; The first probability, the second probability, and the third probability are respectively compared with the corresponding probability thresholds, specifically: if the first probability is greater than the preset first probability threshold, the ambient light brightness is set according to the saturated brightness value range; if the second probability is greater than the preset second probability threshold, the ambient light brightness is set according to the normal brightness value range; if the third probability is greater than the preset third probability threshold, the ambient light brightness is set according to the unsaturated brightness value range; Setting the corresponding ambient light brightness reference value in the ambient light brightness includes: obtaining a number of normal brightness distribution values ​​within a value range of normal brightness; Based on the normal brightness distribution value and the reference brightness, using the working simulation model, the infrared light source is simulated to obtain a working simulation result; based on the working simulation result, the optimal performance is obtained, and the first normal brightness distribution value corresponding to the optimal performance is obtained; the first normal brightness distribution value is set as the ambient light brightness reference value; The brightness adjustment implementation module also includes, based on the prediction of the change trend of the ambient light data, generating the target value of the ambient light brightness change, setting the brightness adjustment control command automatic generation model according to the target value of the ambient light brightness change, and automatically generating and executing the brightness adjustment control command according to the brightness adjustment command automatic generation model, the specific steps are: According to the ambient light data, the long short-term memory network model is used to predict the change trend and obtain the target value of the ambient light brightness within a preset period; According to the conditions satisfied by the target value of the change and the ambient light brightness, a model is automatically generated using a preset brightness adjustment control command to generate a number of brightness adjustment commands; Monitor and obtain the real-time change value of ambient light data. If the error between the real-time change value and the change target value is less than the preset error threshold, the brightness adjustment command is executed in advance; if the error between the real-time change value and the change target value is greater than the preset error threshold, the brightness adjustment command is executed with a delay.

4. The brightness adjustment device of an infrared light source according to claim 3, characterized in that: The ambient light data acquisition module includes: using an ambient light sensor connected to an infrared light source to obtain ambient light data of the environment in which the infrared light source is located; based on the Internet of Things network, transmitting the ambient light data to a brightness adjustment remote control platform.

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