Intelligent walking stick lighting adjustment method suitable for different scenarios

Abstract

The present application relates to the technical field of lighting adjustment, and particularly relates to a smart walking stick lighting adjustment method suitable for different scenes; comprising: S1: real-time monitoring of the environment and user state through the built-in sensor of the smart walking stick; S2: analyzing the environmental data collected by the sensor, and more accurately adjusting the light in different scene environmental conditions; S3: controlling the charging and energy consumption of the battery by monitoring the power state of the smart walking stick battery; S4: activating the corresponding early warning mechanism according to different risk levels by real-time analysis of the surrounding environmental information; the lighting brightness is dynamically adjusted according to different scene environments and real-time environmental data, avoiding manual adjustment by the user, and there is no need to pay attention to the adjustment of the walking stick light during movement; a delay time is set, so that when the illumination condition changes dramatically, the adjustment is not immediately large, and visual fatigue or discomfort caused by frequent changes in illumination is avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lighting adjustment, in particular to a smart walking stick lighting adjustment method suitable for different scenes. BACKGROUND

[0002] With the progress of medical technology and the improvement of living standards, the average life expectancy of people is prolonged, and the proportion of the elderly population is increasing. The global aging problem is becoming increasingly serious, and more and more elderly people face the problem of difficulty in moving. As an auxiliary tool, a smart walking stick can help them travel independently and improve their quality of life. During walking, the elderly and disabled people are prone to fall risks. A smart walking stick can effectively reduce these risks by providing stability, lighting, and obstacle detection to ensure user safety.

[0003] The lighting adjustment function of a smart walking stick is an important part of it, which can provide necessary lighting support for users in an insufficient light environment. However, the current lighting adjustment of a smart walking stick mainly relies on manual adjustment by the user. This adjustment method has limitations, especially for users who have difficulty moving or are physically weak, which increases the complexity and burden of use. SUMMARY

[0004] Therefore, the present application provides a smart walking stick lighting adjustment method suitable for different scenes to overcome the problems mentioned in the background art.

[0005] To achieve the above purpose, the present application provides a smart walking stick lighting adjustment method suitable for different scenes, which comprises the following steps:

[0006] S1: Real-time monitoring of the environment and user state by the sensor built-in the smart walking stick, and sending the collected environmental information to S2;

[0007] S2: Analyzing the environmental data collected by the sensor and making more accurate light adjustment under different scene environmental conditions; the specific steps are as follows:

[0008] Substitute the values of acceleration, angle and light intensity into the formula group according to the scene mode Calculate the current light adjustment value Bi, where a1, a2 and a3 are the set weight factors, and e is the natural constant; and set several light brightness levels, each of which corresponds to a light adjustment value interval. Compare the light adjustment value with all the set light adjustment value intervals to get the corresponding light brightness level at the current time and record it as Ti; get the light brightness level at the last time and record it as , and use the formula to calculate the change in brightness adjustment value between the current time and the last time ; set a change threshold, compare the change with the set change threshold, when the change is greater than the set change threshold, then adjust the light brightness level only once, adjust the brightness to an adjacent level, and set a delay time to recalculate the light adjustment value for the next adjustment; when the change is less than the set change threshold, then adjust the light brightness of the intelligent walking stick according to the corresponding light brightness level;

[0009] S3: By monitoring the battery state of the intelligent walking stick, and combining the real-time feedback of the sensor, the charging and energy consumption of the battery are regulated;

[0010] S4: By analyzing the surrounding environment information in real time, the corresponding warning mechanism is activated according to different risk levels.

[0011] As a preferred embodiment of the present application, the environment and user state are monitored in real time by the sensors built in the intelligent walking stick, wherein the environment state includes: illumination intensity, temperature and humidity; the user state includes: acceleration, inclination angle and user position information of the user using the intelligent walking stick.

[0012] As a preferred embodiment of the present application, the specific analysis of the acceleration value, angle value and illumination intensity value is as follows:

[0013] Obtain the ambient illumination intensity data collected by the light sensor and mark it as Qi, wherein i=1, 2, 3…I, I takes a positive integer, I represents the total number of collection time, and i represents any one collection time; Obtain the acceleration of X direction, Y direction and Z direction collected by the accelerometer; Set the minimum acceleration of the intelligent walking stick in the use process as the static state, set its acceleration value as a fixed value, and set the maximum acceleration value of the intelligent walking stick in fast walking or falling as a fixed value; Substitute the values of X direction acceleration, Y direction acceleration, Z direction acceleration, static state acceleration value and maximum acceleration value into the formula to calculate the current acceleration value; Set the minimum value of the angle range of the intelligent walking stick in the use process as 0 degrees, and the maximum value as 90 degrees, and mark the minimum angle and the maximum angle as and respectively; Obtain the current use angle of the intelligent walking stick θi, and calculate the current angle value Wi by using the formula ; Set the minimum illumination intensity as , set the maximum illumination intensity as , obtain the current illumination intensity and mark it as Gi, substitute the values of the minimum illumination intensity, the maximum illumination intensity and the current illumination intensity into the formula to obtain the current illumination intensity value Li; Obtain the ambient humidity collected by the humidity sensor and mark it as Hi.

[0014] As a preferred embodiment of the present application, the specific analysis step of the scene mode is:

[0015] There are four scene modes for the smart walking stick, and each scene mode corresponds to a brightness adjustment coefficient, wherein the scene modes are outdoor mode, indoor mode, night mode and bad weather mode, and the brightness adjustment coefficients are outdoor mode β1, indoor mode β2, night mode β3 and bad weather mode β4; wherein the outdoor mode is suitable for outdoor environment with strong light, and the activation condition is Qi≥200 and humidity Hi≤70% (light intensity is greater than 200 and humidity is less than or equal to 70%); the indoor mode is suitable for ordinary indoor environment, and the activation condition is 50≤Qi<200 (light intensity is between 50 and 200); the night mode is suitable for extremely dark or night environment, and the activation condition is Qi<50 (light intensity is less than 50); the bad weather mode is suitable for low light conditions such as overcast, foggy weather, etc. and high humidity, and the activation condition is light intensity 50≤Qi<150 and humidity Hi>70% (light intensity is between 50 and 200 and humidity is greater than or equal to 70%); when the smart walking stick is in use, the sensor monitors the surrounding environmental conditions and adjusts to the corresponding scene mode.

[0016] As a preferred embodiment of the present application, the charging and energy consumption of the battery are regulated, and the specific steps are as follows:

[0017] The battery power of the smart walking stick is obtained, and the battery power is monitored in real time at each time, and when the power value is between 0 and 100%, the remaining battery power is fed back in real time; the light adjustment value and the current battery power value are substituted into the formula The reminder value of the battery is calculated , wherein a4 and a5 are the set weight factors, is the set correction factor; a power reminder threshold is set, when the current reminder value of the battery is lower than the set power reminder threshold, the user is reminded to charge; a power protection threshold is set, when the current reminder value of the battery is lower than the set power protection threshold, the user is reminded to be in low power and enter energy saving mode, and unnecessary sensor operation and light brightness adjustment are reduced, to ensure the normal operation of basic functions, and automatically reduce the power consumption of non-critical functions, prolong the battery life; wherein the regulation in the energy saving mode includes: reducing the light intensity; reducing the sampling frequency of the accelerometer and other sensors;

[0018] The ambient temperature during charging is obtained and recorded as Di, and the total battery power (100%), the current battery power Ei and the ambient temperature Di are substituted into the formula The current charging current A is calculated; wherein is a set adjustment factor, usually a constant, to control the gain of the charging current, which can be set according to the battery type and the maximum output current of the charger; is a temperature-dependent function to adjust the charging current according to the ambient temperature; wherein the specific temperature-dependent function is: ; wherein and represent the maximum and minimum temperature of the battery safety, usually 35℃ and 0℃; the temperature-dependent function indicates that when the temperature is within the range of 0℃ to 35℃, the temperature has no effect on the charging current, i.e. =1; when the temperature is higher than 35℃, the charging current will be reduced according to the case of excessive temperature to protect the battery and avoid overheating; when the temperature is lower than 0℃, the charging is directly stopped, i.e. =0, which can avoid the damage of the battery in low-temperature environment; when the battery power reaches the preset maximum power (100%), the charging operation is stopped.

[0019] As a preferred embodiment of the present application, the corresponding warning strategy is activated according to different risk levels, and the specific steps are as follows:

[0020] Step one: use an infrared sensor to detect the obstacle in front and mark the shortest distance from the obstacle as the obstacle detection distance ; set an obstacle safety distance threshold , when the shortest distance from the obstacle is less than or equal to the set obstacle safety distance threshold, it is determined that there is an obstacle, and the obstacle warning is triggered;

[0021] Step two: measure the motion change of the intelligent walking stick through an accelerometer, get the acceleration of the intelligent walking stick in the X direction as Xi, and set an acceleration threshold as ; when Xi> , there is a sudden acceleration change; use a GPS sensor to detect whether it is in a traffic busy area, if the vehicle is close or there is a sudden acceleration change, i.e. Xi> and the GPS position is in a traffic busy area, the warning is triggered;

[0022] Step three: when a dangerous situation is detected, the intelligent walking stick can provide immediate vibration feedback to the user through the built-in vibration motor; according to the severity of the danger, the vibration intensity can be adjusted; the vibration intensity V is calculated by the formula ; wherein the detection distance of the obstacle is less than the set obstacle safety distance threshold When the acceleration Xi is greater than the set acceleration threshold value, the vibration intensity is enhanced When the acceleration Xi is greater than the set acceleration threshold value, the vibration intensity is enhanced

[0023] Step four: set several vibration levels, each corresponding to a vibration intensity interval, match the vibration intensity value with the set vibration level to obtain the current warning vibration level; in order to avoid false alarms or unnecessary alarm triggering, the user can set the delay time of alarm triggering and automatically turn off the alarm after the danger is eliminated; when the intelligent walking stick vibrates to warn, the light flashes at the same time to indicate the warning reminder.

[0024] The beneficial effects of the application are:

[0025] 1. By dynamically adjusting the lighting brightness according to different scene environments and real-time environmental data, the user can avoid the trouble of manual adjustment, and the user does not need to pay attention to the adjustment of the walking stick light during exercise, improving the safety and comfort of the user; by setting a delay time, when the light condition changes dramatically, it will not be adjusted greatly immediately, but step by step, avoiding visual fatigue or discomfort caused by frequent light changes, which is very important for users with weak vision such as the elderly, improving the adaptability and reliability of the intelligent walking stick in various scenes; and can automatically adapt to different environments and user needs, increasing brightness in low light environment and automatically reducing brightness in sufficient light, ensuring that users can obtain appropriate lighting support in various lighting conditions; through multi-dimensional parameter analysis, the activity state and environmental conditions of the user can be more comprehensively judged, so that the light brightness can be accurately adjusted to reduce energy consumption and avoid unnecessary strong light irradiation; by monitoring the acceleration data, the user's motion state can be identified in real time, especially in the case of falling or fast walking, the light brightness is automatically adjusted to enhance visibility, which helps to improve safety.

[0026] 2. By monitoring the battery power and light adjustment value in real time, the user can be reminded to charge in time, and the energy-saving mode is automatically entered to prolong the use time, and the energy-saving mode not only protects the battery, but also ensures that the basic functions of the device can continue to run; during the charging process, the method of adjusting the charging current by using the environmental temperature can effectively avoid the damage of high temperature or low temperature to the battery, thereby prolonging the service life of the battery; by reducing the power consumption of non-critical functions, the battery life can be maximized; the user will obtain timely feedback according to the battery power state and environmental conditions, ensuring that they receive a charging reminder when the battery is about to run out, and the energy-saving mode can ensure that the intelligent walking stick continues to operate normally, improving the user experience.

[0027] 3、Through real-time monitoring of the environment and user state, timely detection of obstacles, acceleration abnormalities and traffic environment changes, timely warning of users before or when danger occurs, greatly reducing the risk of safety accidents; multiple alarm mechanisms combining vibration and light flickering make it easier for users to perceive dangerous situations in complex environments, especially when the user's attention is distracted or in a poor light environment; by setting alarm delay and clearing conditions, avoid frequent or unnecessary interference, improve user comfort, effectively enhance user walking safety in different environments, and improve the response capability of the intelligent walking stick in complex environments. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 is a method step diagram of the present application. DETAILED DESCRIPTION

[0029] In order to make the purpose and advantages of the present application more clear and apparent, the present application will be further described below in conjunction with examples; it should be understood that the specific examples described herein are only used to explain the present application, and do not limit the present application.

[0030] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0031] It should be noted that in the description of the present application, the terms "upper", "lower", "left", "right", "inner", "outer" and the like indicate the direction or positional relationship of the terms based on the direction or positional relationship shown in the drawings, which is only for the convenience of description, and does not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, therefore it cannot be understood as a limitation on the present application.

[0032] In addition, it should also be noted that in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium, it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0033] Please refer to Figure 1 The present application is a smart walking stick lighting adjustment method suitable for different scenes, including the following steps:

[0034] S1: The smart cane's built-in sensors monitor the environment and user status in real time and send the collected environmental information to S2. The environmental status includes: light intensity, temperature, and humidity; the user status includes: acceleration, tilt angle, and user location information when using the smart cane.

[0035] S2: Analyze the environmental data collected by the sensor to make more accurate lighting adjustments under different scene conditions. The specific steps are as follows:

[0036] Obtain the ambient light intensity data collected by the light sensor and mark it as Qi, where i = 1, 2, 3...I, where I is a positive integer, I represents the total number of collection moments, and i represents any collection moment; obtain the acceleration in the X, Y, and Z directions collected by the accelerometer and mark them as Xi, Yi, and Zi respectively; set the lowest acceleration of the smart cane in the static state during use, and set its acceleration value to , set the maximum acceleration value of the smart cane when walking fast or falling ; Using the formula The current acceleration value is calculated as Di. It should be noted that during the use of the cane, the lowest acceleration is usually in the static state, which is set to 0g. When the cane is walking fast or falling, the maximum acceleration value is usually 1.5g. The minimum value of the angle range of the smart cane during use is set to 0 degrees and the maximum value is 90 degrees, and the minimum angle and maximum angle are recorded as and ; Get the current angle of the smart cane and mark it as θi, using the formula Calculate the current angle value Wi; set the minimum light intensity to , set the maximum light intensity to , get the current light intensity as Gi, using the formula Calculate the current light intensity value Li; obtain the ambient humidity collected by the humidity sensor and record it as Hi;

[0037] The intelligent walking stick is provided with four scene modes, each of which corresponds to a luminance adjustment coefficient. The scene modes are outdoor mode, indoor mode, night mode and bad weather mode, and the luminance adjustment coefficients are outdoor mode β1, indoor mode β2, night mode β3 and bad weather mode β4. The outdoor mode is suitable for outdoor environment with strong light, and the activation condition is Qi≥200 and humidity Hi≤70% (light intensity is greater than 200 and humidity is less than or equal to 70%). The indoor mode is suitable for ordinary indoor environment, and the activation condition is 50≤Qi<200 (light intensity is between 50 and 200). The night mode is suitable for extremely dark or night environment, and the activation condition is Qi<50 (light intensity is less than 50). The bad weather mode is suitable for low light conditions such as overcast, foggy weather, etc. and high humidity, and the activation condition is light intensity 50≤Qi<150 and humidity Hi>70% (light intensity is between 50 and 200 and humidity is greater than or equal to 70%). When the intelligent walking stick is in use, the sensor monitors the surrounding environmental conditions and adjusts to the corresponding scene mode. It should be noted that the setting conditions of the scene mode and the luminance adjustment coefficient are set by professionals in the industry according to the needs, and the scene mode can be manually adjusted by the user.

[0038] The values of acceleration Di, angle Wi and light intensity Li are substituted into the set formula group The current light adjustment value Bi is calculated, where a1, a2 and a3 are the set weight factors, and e is the natural constant. According to the formula, the faster the user moves, the greater the acceleration value, and the greater the light adjustment value. The greater the inclination angle of the walking stick, the greater the light adjustment value, indicating that the user may be climbing or descending, and the lower the light intensity of the surrounding environment, the greater the light adjustment value.

[0039] A plurality of light brightness levels are set, each of which corresponds to a light adjustment value interval. The light adjustment value is compared and matched with all the set light adjustment value intervals to obtain the corresponding light brightness level at the current time, which is denoted as Ti. The light brightness level at the previous time is obtained and denoted as The change amount of the brightness adjustment value between the current time and the previous time is calculated using the formula A change amount threshold is set. The change amount is compared with the set change amount threshold . When the change amount is greater than the set change amount threshold , the light brightness level is adjusted only once, the brightness is adjusted to the adjacent level, and a delay time is set to recalculate the light adjustment value for the next adjustment. When the change amount​ less than a set change threshold If so, the smart walking stick is adjusted in light brightness according to the corresponding light brightness level; it should be noted that the brightness adjustment delay time is set to 3 seconds or 5 seconds, and the specific brightness adjustment delay time can be set by professionals in the industry according to the needs, and the brightness is adjusted by the delay time to avoid visual discomfort caused by rapid changes in light due to excessive brightness adjustment level;

[0040] By dynamically adjusting the lighting brightness according to different scene environments and real-time environmental data, the user does not need to manually adjust the brightness, and the user does not need to pay attention to the adjustment of the stick light during exercise, which improves the safety and comfort of the user; By setting a delay time, when the lighting conditions change dramatically, it will not be adjusted immediately, but in steps, avoiding visual fatigue or discomfort caused by frequent changes in light, which is particularly important for users with weak vision such as the elderly, improving the adaptability and reliability of the smart walking stick in various scenes; And can automatically adapt to different environments and user needs, increase brightness in low light environment, and automatically reduce brightness in sufficient light, ensuring that users can get appropriate lighting support in various lighting conditions; Through multi-dimensional parameter analysis, the activity state and environmental conditions of the user can be more comprehensively judged, so as to accurately adjust the light brightness to reduce energy consumption and avoid unnecessary strong light irradiation; By monitoring the acceleration data, the user's motion state can be identified in real time, especially in the case of falling or fast walking, the light brightness is automatically adjusted to enhance visibility, which helps to improve safety;

[0041] S3: By monitoring the battery state of the smart walking stick, and combining the real-time feedback of the sensor, the charging and energy consumption of the battery are regulated; The specific steps are as follows:

[0042] Get the battery power of the smart walking stick and record it as Ei, the battery power Ei is monitored in real time at each time, and the remaining battery power is fed back in real time when the power value is between 0≤Ei≤100%; The light adjustment value Bi and the current battery power Ei are substituted into the set formula Calculate the reminder value of the battery Where a4 and a5 are set weight factors, a set correction factor; according to the formula, the greater the light adjustment value, the greater the battery consumption, and the smaller the battery reminder value; set a power reminder threshold, when the current battery reminder value is lower than the set power reminder threshold, remind the user to charge; set a power protection threshold, when the current battery reminder value is lower than the set power protection threshold, remind the user that the battery is low and enter the energy saving mode, and reduce unnecessary sensor operation and light brightness adjustment, ensure the normal operation of basic functions, and automatically reduce the power consumption of non-critical functions, prolong the battery life; the regulation in the energy saving mode includes: reducing the light intensity; reducing the sampling frequency of the accelerometer and other sensors;

[0043] Obtain the ambient temperature at the time of charging and record it as Di, and substitute the total power of the battery (100%), the current battery power Ei and the value of the ambient temperature Di into the set formula to calculate the current charging current A; wherein is a set adjustment factor, usually a constant, used to control the gain of the charging current, which can be set according to the battery type and the maximum output current of the charger; is a temperature-dependent function for adjusting the charging current according to the ambient temperature; wherein the specific temperature-dependent function is represented as: ; wherein and represent the maximum and minimum temperatures of the battery safety, usually 35℃ and 0℃; according to the temperature-dependent function , when the temperature is within the range of 0℃ to 35℃, the temperature has no effect on the charging current, i.e. =1; when the temperature is higher than 35℃, the charging current will be reduced according to the high temperature condition to protect the battery and avoid overheating; when the temperature is lower than 0℃, the charging is stopped directly, i.e. =0, which can avoid damage to the battery in low temperature environment; when the battery power is full to the preset maximum power (100%), the charging operation is stopped;

[0044] By monitoring the battery power and light adjustment value in real time, the user can be reminded to charge in time, and automatically enter the energy saving mode to prolong the use time; the energy saving mode not only protects the battery, but also ensures that the basic functions of the device can continue to operate; during the charging process, the use of ambient temperature to adjust the charging current can effectively avoid the damage of high temperature or low temperature to the battery, thereby prolonging the service life of the battery; by reducing the power consumption of non-critical functions, the battery life can be maximized; users will get timely feedback according to the battery power state and environmental conditions, ensuring that they get a charging reminder when the battery is about to run out, and the energy saving mode can ensure that the smart cane continues to operate normally, improving the user experience;

[0045] S4: By analyzing the surrounding environment information in real time, activate the corresponding early warning strategy according to different risk levels; the specific steps are as follows:

[0046] Step one: use infrared sensors to detect obstacles in front, and mark the shortest distance from the obstacle as the obstacle detection distance ; Set an obstacle safety distance threshold , when the shortest distance from the obstacle Is less than or equal to the set obstacle safety distance threshold , it is determined that there is an obstacle, and the obstacle warning is triggered; it should be noted that the obstacle safety distance threshold Usually set at about 1 meter, specific can be adjusted by the user in APP according to the needs under the suggestion of the enterprise;

[0047] Step two: measure the motion change of the intelligent walking stick through the accelerometer, get the acceleration of the intelligent walking stick in the X direction as Xi, and set an acceleration threshold as ; When Xi> , there is a sudden acceleration change; use the GPS sensor to detect whether it is in a traffic busy area, if the vehicle is close or there is a sudden acceleration change, Xi> And the GPS position is in the traffic busy area, the warning is triggered;

[0048] Step three: when detecting dangerous situations, the intelligent walking stick can provide immediate vibration feedback to the user through the built-in vibration motor; according to the severity of the danger, the vibration intensity can be adjusted; the vibration intensity V is calculated by the formula ; When the detection distance of the obstacle Is less than the set obstacle safety distance threshold , the vibration intensity is enhanced; when the acceleration Xi is greater than the set acceleration threshold , the vibration intensity is enhanced;

[0049] Step four: set several vibration levels, each vibration level corresponds to a vibration intensity interval, match the vibration intensity value with the set vibration level to get the current warning vibration level; in order to avoid false alarms or frequent triggering of unnecessary alarms, users can set the delay time of alarm triggering and automatically turn off the alarm after the danger is eliminated; when the intelligent walking stick vibrates to warn, the light flashes at the same time to indicate the warning reminder;

[0050] By monitoring the environment and user state in real time, obstacles, acceleration abnormalities and traffic environment changes are detected in a timely manner, thereby enabling timely warnings to be given to the user before or when danger occurs, greatly reducing the risk of safety accidents; the multiple alarm mechanism combining vibration and light flickering makes it easier for the user to perceive dangerous situations in complex environments, especially when the user's attention is distracted or in a poor light environment; by setting alarm delay and clearing conditions, frequent or unnecessary interference is avoided, the user's comfort is improved, the user's walking safety in different environments can be effectively enhanced, and the response capability of the intelligent walking stick in complex environments can be improved.

[0051] The technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after these changes or replacements will fall within the protection scope of the present application.

[0052] The above description is only the preferred embodiments of the present application and is not intended to limit the present application; for those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included within the protection scope of the present application.

Claims

1. A smart cane lighting adjustment method suitable for different scenarios, characterized in that: The following steps are involved: S1: The built-in sensors of the smart cane monitor the environment and user status in real time, and send the collected environmental information to step S2; S2: Analyze the environmental data collected by the sensor and adjust the lighting under different scene environmental conditions; the specific steps are as follows: Normalize the acceleration value, angle value, and light intensity value according to the scene mode to obtain the current light adjustment value; set a number of light brightness levels, each light brightness level corresponds to a light adjustment value interval, compare and match the light adjustment value with all the set light adjustment value intervals to obtain the light brightness level corresponding to the current moment; obtain the light brightness level at the previous moment, calculate the difference between the current light brightness level and the previous light brightness level, and obtain the change in the brightness adjustment value between the current moment and the previous moment; Set a change threshold and compare the change with the set change threshold. When the change is greater than the set change threshold, the light brightness level is adjusted only once, adjusting the brightness to the next level, and setting a delay time before recalculating the light adjustment value for the next adjustment. When the change is less than the set change threshold, the light brightness of the smart cane is adjusted according to the corresponding light brightness level. S3: By monitoring the battery status of the smart cane and combining it with real-time feedback from sensors, it regulates battery charging and energy consumption; S4: By analyzing the surrounding environmental information in real time, the corresponding early warning mechanism is activated according to different risk levels.

2. The smart walking stick lighting adjustment method applicable to different scenarios according to claim 1, characterized in that: The built-in sensors of the smart cane monitor the environment and user status in real time. The environmental status includes: light intensity, temperature and humidity; the user status includes: acceleration, tilt angle and user location information of the user using the smart cane.

3. The smart walking stick lighting adjustment method applicable to different scenarios according to claim 1, characterized in that: The specific analysis of acceleration value, angle value and light intensity value is as follows: Obtain ambient light intensity data collected by the light sensor; obtain acceleration in the X, Y, and Z directions collected by the accelerometer; set the lowest acceleration of the smart cane during use to the stationary state, set its acceleration value to a fixed value, and set the maximum acceleration value of the smart cane when walking quickly or falling to a fixed value; normalize the values ​​of the X-direction acceleration, Y-direction acceleration, Z-direction acceleration, the stationary state acceleration value, and the maximum acceleration value to obtain the current acceleration value; set the minimum value of the angle range of the smart cane during use to 0 degrees and the maximum value to 90 degrees; obtain the current use angle of the smart cane, and calculate the current angle value by taking the quotient of the current angle and the maximum angle; Set the minimum light intensity to a fixed value, set the maximum light intensity to a fixed value, obtain the current light intensity, and normalize the minimum light intensity, maximum light intensity, and current light intensity to obtain the current light intensity value; The humidity sensor is used to obtain the collected ambient humidity.

4. The method for adjusting lighting of a smart walking stick applicable to different scenarios according to claim 1, characterized in that: The specific analysis steps of the scene mode are: The smart cane is set to have four scene modes, and each scene mode corresponds to a brightness adjustment coefficient. The scene modes are: outdoor mode, indoor mode, night mode, and bad weather mode. The outdoor mode is suitable for outdoor environments with strong light, and the activation conditions are light intensity greater than 200 and humidity less than or equal to 70%; the indoor mode is suitable for ordinary indoor environments, and the activation conditions are light intensity between 50 and 200; the night mode is suitable for extremely dark or night environments, and the activation conditions are light intensity less than 50; the bad weather mode is suitable for low light conditions such as cloudy and foggy days and high humidity, and the activation conditions are light intensity between 50 and 200 and humidity greater than or equal to 70%; when the smart cane is in use, the sensor monitors the surrounding environmental conditions and adjusts to the corresponding scene mode.

5. The method for adjusting lighting of a smart walking stick applicable to different scenarios according to claim 1, characterized in that: To regulate battery charging and energy consumption, the specific steps are as follows: Obtain the battery level of the smart cane and monitor the battery level in real time at every moment. When the battery level is between 0 and 100%, the remaining battery level is fed back in real time. The light adjustment value and the current battery level value are normalized to obtain the battery reminder value. Set a battery reminder threshold. When the battery current reminder value is lower than the set battery reminder threshold, the user is reminded that charging is required. Set a power conservation threshold. When the current battery value falls below the set power conservation threshold, the user is reminded that the battery is low and the device enters energy-saving mode. This reduces unnecessary sensor operations and light brightness adjustments to ensure the normal operation of basic functions and automatically reduces the power consumption of non-critical functions to extend battery life. The energy-saving mode includes: reducing light intensity; reducing the sampling frequency of accelerometers and other sensors; The ambient temperature during charging is obtained, and the total battery charge, current battery charge, and ambient temperature are normalized to obtain the current charging current. When the temperature is within the range of 0°C to 35°C, the temperature has no effect on the charging current. When the temperature is above 35°C, the charging current is reduced to protect the battery and avoid overheating. When the temperature is below 0°C, charging is stopped directly to avoid battery damage in low temperature environments. Charging stops when the battery reaches the preset maximum charge.

6. The method for adjusting lighting of a smart walking stick applicable to different scenarios according to claim 1, characterized in that: Activate the corresponding early warning strategy according to different risk levels. The specific steps are as follows: Step 1: Use an infrared sensor to detect obstacles ahead and mark the shortest distance to the obstacle as the obstacle detection distance. Set an obstacle safety distance threshold. When the shortest distance to the obstacle is less than or equal to the set obstacle safety distance threshold, it is determined that an obstacle exists and an obstacle warning is triggered. Step 2: Use an accelerometer to measure the movement changes of the smart cane, obtain the acceleration of the smart cane in the X direction, and set an acceleration threshold. When the acceleration of the smart cane in the X direction exceeds the set acceleration threshold, it is considered that there is a sudden acceleration change. Use the GPS sensor to detect whether it is in a busy traffic area. If a vehicle approaches or there is a sudden acceleration change, that is, the acceleration of the smart cane in the X direction exceeds the set acceleration threshold and the GPS location is in a busy traffic area, an early warning is triggered. Step 3: When a dangerous situation is detected, the smart cane can provide immediate vibration feedback to the user through the built-in vibration motor. The vibration intensity can be adjusted according to the severity of the danger. The vibration intensity value is obtained by normalizing the obstacle detection distance and acceleration. Step 4: Set several vibration levels, each corresponding to a vibration intensity range. Match the vibration intensity value with the set vibration level to obtain the current warning vibration level. To avoid false alarms or frequent triggering of unnecessary alarms, users can set the alarm trigger delay time and automatically turn off the alarm after the dangerous situation is eliminated. When the smart cane vibrates to warn, the light flashes at the same time to indicate a warning reminder.

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