Smart walking stick illumination adjusting method suitable for different scenes

Abstract

The invention relates to the technical field of illumination adjustment, in particular to an intelligent walking stick illumination adjustment method suitable for different scenes. Comprising the following steps: S1, monitoring an environment and a user state in real time through a built-in sensor of the smart walking stick; s2, environment data collected by a sensor are analyzed, and more accurate light adjustment is carried out under different scene environment conditions; s3, charging and energy consumption of the battery are regulated and controlled by monitoring the electric quantity state of the battery of the intelligent walking stick; s4, analyzing surrounding environment information in real time, and activating corresponding early warning mechanisms according to different risk levels; illumination brightness is dynamically adjusted in different scene environments and real-time environment data, manual adjustment of a user is avoided, and the user does not need to pay attention to adjustment of light of the walking stick during sports; the delay time is set, and when the illumination condition changes drastically, the illumination condition cannot be adjusted drastically immediately, so that visual fatigue or discomfort caused by frequent illumination changes is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting adjustment, and in particular to a lighting adjustment method for a smart walking stick suitable for different scenarios. Background Art

[0002] With the advancement of medical technology and the improvement of living standards, people's average life expectancy has been extended, and the proportion of the elderly population is also increasing. The global aging problem is becoming increasingly serious, and more and more elderly people are facing mobility problems. Smart canes, as an auxiliary tool, can help them travel independently and improve their quality of life. During walking, the elderly and disabled people are prone to the risk of falling. Smart canes can effectively reduce these risks and ensure user safety by providing stability, lighting and obstacle detection. The lighting adjustment function of the smart cane is an important component, which can provide users with necessary lighting support in low-light environments; however, the lighting adjustment of the smart cane currently mainly relies on manual adjustment by the user, which has limitations, especially for users with limited mobility or weak physical condition, which increases the complexity and burden of use. Summary of the invention

[0003] To this end, the present invention provides a smart walking stick lighting adjustment method suitable for different scenarios to overcome the problems mentioned in the above background technology.

[0004] To achieve the above object, the present invention provides a smart walking stick lighting adjustment method suitable for different scenarios, comprising the following steps: S1: monitors the environment and user status in real time through the built-in sensors of the smart cane, and sends the collected environmental information to S2; S2: Analyze the environmental data collected by the sensor and make more accurate lighting adjustments under different scene conditions. The specific steps are as follows: Substitute the acceleration value, angle value and light intensity value into the formula group according to the scene mode The current light adjustment value Bi is calculated, where a1, a2 and a3 are the set weight factors, and e is a natural constant; and several light brightness levels are set, each light brightness level corresponds to a light adjustment value interval, and the light adjustment value is compared and matched with all the set light adjustment value intervals to obtain the light brightness level corresponding to the current moment and record it as Ti; obtain the light brightness level at the previous moment and record it as , using the formula Calculate the change in brightness between the current moment and the previous moment ; Set a change threshold, compare and analyze the change with the set change threshold, when the change is greater than the set change threshold, adjust the light brightness level only once, adjust the brightness to an adjacent level, set a delay time and recalculate the light adjustment value for the next adjustment; when the change is less than the set change threshold, adjust the light brightness of the smart cane according to the corresponding light brightness level; S3: By monitoring the battery status of the smart cane and combining the real-time feedback from the sensor, the battery charging and energy consumption are regulated; S4: Analyze the surrounding environment information in real time and activate the corresponding early warning mechanism according to different risk levels.

[0005] As a preferred embodiment of the present invention, the environment and user status are monitored in real time by the built-in sensor of the smart walking stick, wherein the environment status includes: light intensity, temperature and humidity; the user status includes: acceleration, tilt angle and user position information of the user using the smart walking stick.

[0006] As a preferred embodiment of the present invention, the specific analysis of the acceleration value, angle value and light intensity value is as follows: Get the ambient light intensity data collected by the light sensor and mark it as Qi, where i=1, 2, 3...I, I is a positive integer, I represents the total number of collection moments, and i represents any one of the collection moments; Get the accelerations in the X, Y, and Z directions collected by the accelerometer; Set the lowest acceleration of the smart cane to a static state during use, set its acceleration value to a fixed value, and set the maximum acceleration value of the smart cane when walking fast or falling to a fixed value; Substitute the values ​​of the acceleration in the X direction, the acceleration in the Y direction, the acceleration in the Z direction, the acceleration value in the static state, and the maximum acceleration value into the formula Calculate the current acceleration value; set the minimum angle range of the smart cane to 0 degrees and the maximum angle to 90 degrees during use, and record the minimum angle and maximum angle as and ; Get the current use angle θi of the smart cane, 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 and mark it as Gi, substitute the values ​​of minimum light intensity, maximum light intensity and current light intensity into the formula Get the current light intensity value Li; get the ambient humidity collected by the humidity sensor and record it as Hi.

[0007] As a preferred embodiment of the present invention, 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, and the brightness adjustment coefficients are: outdoor mode β1, indoor mode β2, night mode β3 and bad weather mode β4; the outdoor mode is: suitable for outdoor environments with strong light, and the activation conditions are 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 environments Environment, the activation condition is 50≤Qi<200 (light intensity is between 50 and 200); Night mode: suitable for extremely dark or night environments, the activation condition is Qi<50 (light intensity is less than 50); Severe weather mode: suitable for low light conditions such as cloudy and foggy days and high humidity, 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 cane is in use, the sensor monitors the surrounding environmental conditions and adjusts to the corresponding scene mode.

[0008] As a preferred embodiment of the present invention, the charging and energy consumption of the battery are regulated, and the specific steps are as follows: Obtain the battery power of the smart cane and monitor the battery power in real time at every moment. When the power value is between 0 and 100%, the remaining battery power is fed back in real time. Substitute the light adjustment value and the current battery power value into the formula Calculate the battery reminder value , where a4 and a5 are the set weight factors, The correction factor is set; a battery reminder threshold is set. When the current battery reminder value is lower than the set battery reminder threshold, the user is reminded to charge; a battery protection threshold is set. When the current battery reminder value is lower than the set battery protection threshold, the user is reminded that the battery is low and enters the energy-saving mode, and 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 regulation in the energy-saving mode includes: reducing the light intensity; reducing the sampling frequency of the accelerometer and other sensors; Obtain the ambient temperature during charging and record it as Di, and the total battery charge Substitute the values ​​of the current battery capacity Ei and the ambient temperature Di into the formula The current charging current A is calculated; It is a set adjustment factor, usually a constant, used to control the gain of the charging current. It can be set according to the battery type and the maximum output current of the charger; is a temperature-dependent function used to adjust the charging current according to the ambient temperature; the specific temperature-dependent function It is expressed as: ;in and Respectively represent the maximum and minimum temperatures for battery safety, usually 35°C and 0°C; the temperature dependence function It can be seen that when the temperature is within the range of 0℃ to 35℃, the temperature has no effect on the charging current, that is, =1; when the temperature is higher than 35℃, the charging current will be reduced according to the high temperature to protect the battery and avoid overheating; when the temperature is lower than 0℃, charging will be stopped directly, that is =0, which can avoid battery damage in low temperature environment; when the battery is fully charged and reaches the preset maximum power When the battery reaches 100%, the charging operation stops.

[0009] As a preferred implementation of the present invention, corresponding early warning strategies are activated according to different risk levels. The specific steps are as follows: Step 1: Use infrared sensors to detect obstacles in front of you and mark the shortest distance to the obstacles as the obstacle detection distance ; Set an obstacle safety distance threshold , when the shortest distance to an obstacle is less than or equal to the set obstacle safety distance threshold, it is determined that there is an obstacle and an obstacle warning is triggered; Step 2: Use the accelerometer to measure the movement change of the smart cane, obtain the acceleration of the smart cane in the X direction as Xi, and set an acceleration threshold as ; When Xi> When the vehicle approaches or there is a sudden acceleration change, the GPS sensor is used to detect whether it is in a busy traffic area. If the vehicle is close or there is a sudden acceleration change, that is, Xi> And if the GPS location is in a busy traffic area, an alert is triggered; Step 3: When a dangerous situation is detected, the smart cane can provide instant vibration feedback to the user through the built-in vibration motor; the vibration intensity can be adjusted according to the severity of the danger; using the formula The vibration intensity V is calculated; the obstacle detection distance Less than the set obstacle safety distance threshold When the acceleration Xi is greater than the set acceleration threshold When , the vibration intensity increases; Step 4: Set several vibration levels, each corresponding to a vibration intensity range, match the vibration intensity value with the set vibration level, and get the vibration level of the current warning; in order to avoid false alarms or frequent triggering of unnecessary alarms, users can set the delay time of alarm triggering by themselves, 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.

[0010] Beneficial effects of the present invention: 1. By dynamically adjusting the lighting brightness according to different scene environments and real-time environmental data, the trouble caused by manual adjustment by users is avoided. Users do not need to pay attention to the adjustment of the cane light during exercise, which improves the safety and comfort of users. By setting the delay time, when the lighting conditions change drastically, it will not be adjusted immediately but adjusted in steps, avoiding visual fatigue or discomfort caused by frequent lighting changes. This is especially important for users with poor vision such as the elderly, and improves the adaptability and reliability of the smart cane in various scenarios. It can also automatically adapt to different environments and user needs, increase the brightness in low-light environments, and automatically reduce the brightness when the light is sufficient, ensuring that users can get appropriate lighting support under various lighting conditions. Through multi-dimensional parameter analysis, it can more comprehensively judge the user's activity status and environmental conditions, so as to accurately adjust the light brightness to reduce energy consumption and avoid unnecessary strong light exposure. By monitoring the acceleration data, it can identify the user's movement status in real time, especially in the case of falling or fast walking, and automatically adjust the light brightness to enhance visibility, which helps to improve safety.

[0011] 2. By real-time monitoring of battery power and light adjustment values, users can be reminded to charge in time and automatically enter energy-saving mode to extend the use time. The energy-saving mode not only protects the battery, but also ensures that the basic functions of the device continue to operate. During the charging process, the use of ambient temperature to adjust the charging current can effectively avoid damage to the battery due to high or low temperatures, thereby extending the battery life; by reducing the power consumption of non-critical functions, battery life can be maximized; users will receive timely feedback based on the battery power status and environmental conditions to ensure that they are reminded to charge 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.

[0012] 3. By real-time monitoring of the environment and user status, obstacles, abnormal acceleration and changes in the traffic environment can be detected in time, so that users can be warned in time before or when danger occurs, greatly reducing the risk of safety accidents; the multiple alarm mechanism combining vibration and flashing lights makes it easier for users to perceive dangerous situations in complex environments, especially when the user's attention is distracted or in an environment with poor lighting; by setting alarm delays and clearing conditions, frequent or unnecessary interference is avoided, and user comfort is improved, which can effectively enhance the user's walking safety in different environments and improve the smart cane's ability to cope with complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0014] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0015] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0016] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0017] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0018] See also Figure 1 As shown, the present invention is a smart walking stick lighting adjustment method suitable for different scenarios, comprising the following steps: S1: monitors the environment and user status in real time through the built-in sensors of the smart cane, and sends the collected environmental information to S2; the environmental status includes: light intensity, temperature and humidity; the user status includes: the acceleration, tilt angle and user location information of the user using the smart cane; S2: Analyze the environmental data collected by the sensor and make more accurate lighting adjustments under different scene conditions. The specific steps are as follows: Get the ambient light intensity data collected by the light sensor and mark it as Qi, where i=1, 2, 3...I, I is a positive integer, I represents the total number of collection moments, and i represents any one of the collection moments; get the accelerations 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 to 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 a 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; 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, and the brightness adjustment coefficients are: outdoor mode β1, indoor mode β2, night mode β3 and bad weather mode β4; the outdoor mode is: suitable for outdoor environments with strong light, and the activation conditions are 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 environments, and the activation conditions are 50≤Qi<200 (light intensity is between 50 and 2 00); Night mode: Suitable for extremely dark or night environments, activated when Qi<50 (light intensity is less than 50); Bad weather mode: Suitable for cloudy, foggy and other low light conditions with high humidity, activated when 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 cane is in use, the sensor monitors the surrounding conditions and adjusts to the corresponding scene mode; It should be noted that the setting conditions and brightness adjustment coefficient of the scene mode are set by industry professionals according to their needs, and the scene mode can be adjusted manually by the user; Substitute the values ​​of acceleration value Di, angle value Wi and light intensity value Li 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 a natural constant. It can be seen from the formula that the faster the user moves and the greater the acceleration value, the greater the light adjustment value. The greater the tilt angle of the cane, the greater the light adjustment value, which means that the user may be climbing or descending a slope. The lower the light intensity of the surrounding environment, the greater the light adjustment value. Set up several 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, get the light brightness level corresponding to the current moment, and record it as Ti; get the light brightness level at the previous moment, and record it as , using the formula Calculate the change in brightness between the current moment and the previous moment ; Set a change threshold The change The change threshold is set For comparative analysis, when the change Greater than the set change threshold When the change is , the light brightness level is adjusted only once, the brightness is adjusted to the adjacent level, and the delay time is set before the light adjustment value is recalculated for the next adjustment; when the change is Less than the set change threshold When the light brightness of the smart cane is adjusted 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. The specific brightness adjustment delay time can be set by industry professionals according to their needs. By adjusting the brightness by the delay time, visual discomfort caused by rapid changes in light due to excessive brightness adjustment levels can be avoided. By dynamically adjusting the lighting brightness according to different scene environments and real-time environmental data, the trouble caused by manual adjustment by users is avoided. Users do not need to pay attention to the adjustment of the cane light during exercise, which improves the safety and comfort of users. By setting the delay time, when the lighting conditions change drastically, it will not be adjusted immediately but adjusted in steps, avoiding visual fatigue or discomfort caused by frequent lighting changes. This is especially important for users with poor vision such as the elderly, and improves the adaptability and reliability of the smart cane in various scenarios. It can also automatically adapt to different environments and user needs, increase the brightness in low-light environments, and automatically reduce the brightness when the light is sufficient, ensuring that users can get appropriate lighting support under various lighting conditions. Through multi-dimensional parameter analysis, it can more comprehensively judge the user's activity status and environmental conditions, so as to accurately adjust the light brightness to reduce energy consumption and avoid unnecessary strong light exposure. By monitoring the acceleration data, it can identify the user's movement status in real time, especially in the case of falling or fast walking, and automatically adjust the light brightness to enhance visibility, which helps to improve safety. S3: By monitoring the battery status of the smart cane and combining the real-time feedback from the sensor, the battery charging and energy consumption are regulated; the specific steps are as follows: Obtain the battery power of the smart cane and record it as Ei. The battery power Ei is monitored in real time at every moment, and when the power value is between 0≤Ei≤100%, the remaining battery power is fed back in real time; substitute the light adjustment value Bi and the current battery power Ei into the set formula Calculate the battery reminder value , where a4 and a5 are the set weight factors, is the set correction factor; from the formula, it can be seen that 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, the user is reminded to charge; set a power protection threshold, when the current battery reminder value is lower than the set power protection threshold, the user is reminded that the battery is low and enters the energy-saving mode, and 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 regulation in the energy-saving mode includes: reducing the light intensity; reducing the sampling frequency of the accelerometer and other sensors; Obtain the ambient temperature during charging and record it as Di, and the total battery charge (100%), the current battery capacity Ei and the ambient temperature Di are substituted into the set formula The current charging current A is calculated; It is a set adjustment factor, usually a constant, used to control the gain of the charging current. It can be set according to the battery type and the maximum output current of the charger; is a temperature-dependent function used to adjust the charging current according to the ambient temperature; the specific temperature-dependent function It is expressed as: ;in and Respectively represent the maximum and minimum temperatures for battery safety, usually 35°C and 0°C; the temperature dependence function It can be seen that when the temperature is within the range of 0℃ to 35℃, the temperature has no effect on the charging current, that is, =1; when the temperature is higher than 35℃, the charging current will be reduced according to the high temperature to protect the battery and avoid overheating; when the temperature is lower than 0℃, charging will be stopped directly, that is =0, which can avoid battery damage in low temperature environment; when the battery is fully charged and reaches the preset maximum power When the battery reaches 100%, the charging operation stops. By real-time monitoring of battery power and light adjustment values, users can be reminded to charge in time and automatically enter energy-saving mode to extend the use time. 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 practice of adjusting the charging current using the ambient temperature can effectively avoid damage to the battery due to high or low temperatures, thereby extending the battery life. By reducing the power consumption of non-critical functions, battery life can be maximized. Users will receive timely feedback based on the battery power status and environmental conditions, ensuring that they are reminded to charge when the battery is about to run out, and energy-saving mode can ensure that the smart cane continues to operate normally, improving the user experience. S4: Analyze the surrounding environment information in real time and activate the corresponding early warning strategy according to different risk levels; the specific steps are as follows: Step 1: Use infrared sensors to detect obstacles in front of you and mark the shortest distance to the obstacles as the obstacle detection distance ; Set an obstacle safety distance threshold , when the shortest distance to the obstacle Less than or equal to the set obstacle safety distance threshold When the obstacle is detected, it is determined that there is an obstacle and the obstacle warning is triggered. It should be noted that the obstacle safety distance threshold It is usually set at about 1 meter, and can be adjusted by the user in the APP according to needs and under the advice of the enterprise; Step 2: Use the accelerometer to measure the movement change of the smart cane, obtain the acceleration of the smart cane in the X direction as Xi, and set an acceleration threshold as ; When Xi> When the vehicle approaches or there is a sudden acceleration change, the GPS sensor is used to detect whether it is in a busy traffic area. If the vehicle is close or there is a sudden acceleration change, that is, Xi> And if the GPS location is in a busy traffic area, an alert is triggered; Step 3: When a dangerous situation is detected, the smart cane can provide instant vibration feedback to the user through the built-in vibration motor; the vibration intensity can be adjusted according to the severity of the danger; using the formula The vibration intensity V is calculated; the obstacle detection distance Less than the set obstacle safety distance threshold When the acceleration Xi is greater than the set acceleration threshold When , the vibration intensity increases; Step 4: Set several vibration levels, each corresponding to a vibration intensity range, match the vibration intensity value with the set vibration level, and get the vibration level of the current warning; in order to avoid false alarms or frequent triggering of unnecessary alarms, users can set the delay time of alarm triggering by themselves, 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; By real-time monitoring of the environment and user status, obstacles, abnormal acceleration and changes in the traffic environment can be detected in time, so that users can be warned in time before or when danger occurs, greatly reducing the risk of safety accidents; the multiple alarm mechanism combining vibration and flashing lights makes it easier for users to perceive dangerous situations in complex environments, especially when the user's attention is distracted or in an environment with poor lighting; by setting alarm delays and clearing conditions, frequent or unnecessary interference is avoided, and user comfort is improved, which can effectively enhance the user's walking safety in different environments and improve the smart cane's ability to cope with complex environments.

[0019] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0020] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart walking stick lighting adjustment method suitable for different scenarios, characterized in that: The following steps are involved: S1: Monitor the environment and user status in real time through the built-in sensors of the smart cane, 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: The acceleration value, the angle value and the light intensity value are normalized according to the scene mode to obtain the current light adjustment value; and a number of light brightness levels are set, each light brightness level corresponds to a light adjustment value interval, and the light adjustment value is compared and matched with all the set light adjustment value intervals to obtain the light brightness level corresponding to the current moment; the light brightness level at the previous moment is obtained, and the difference between the light brightness level at the current moment and the light brightness level at the previous moment is calculated to obtain the change in the brightness adjustment value between the current moment and the previous moment; A change threshold is set, and the change is compared and analyzed with the set change threshold. When the change is greater than the set change threshold, the light brightness level is adjusted only once, the brightness is adjusted to an adjacent level, and a delay time is set before the light adjustment value is recalculated 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 the real-time feedback from the sensor, the battery charging and energy consumption are regulated; S4: Analyze the surrounding environment information in real time and activate the corresponding early warning mechanism 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 when the user uses 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 the ambient light intensity data collected by the light sensor; obtain the acceleration in the X, Y and Z directions collected by the accelerometer; set the lowest acceleration of the smart cane in the static state during use, 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 acceleration in the X direction, the acceleration in the Y direction, the acceleration in the Z direction, the acceleration value in the static state and the maximum acceleration value to obtain the current acceleration value; set the minimum value of the angle range of the smart cane in use to 0 degrees and the maximum value to 90 degrees; obtain the current use angle of the smart cane, and calculate the quotient of the current angle and the maximum angle to obtain the current angle value; 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 values ​​of the minimum light intensity, the maximum light intensity, and the current light intensity to obtain the current light intensity value; The humidity sensor is used to obtain the collected ambient humidity.

4. The smart walking stick lighting adjustment method applicable to different scenarios according to claim 1, characterized in that: The specific analysis steps of the scene mode are as follows: The smart cane is set to have four scene modes and each scene mode corresponds to a brightness adjustment coefficient, where 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 condition is that the light intensity is greater than 200 and the humidity is less than or equal to 70%; the indoor mode is: suitable for ordinary indoor environments, and the activation condition is that the light intensity is between 50 and 200; the night mode is: suitable for extremely dark or night environments, and the activation condition is that the light intensity is 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 condition is that the light intensity is between 50 and 200 and the humidity is 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 scenes according to claim 1, characterized in that: To regulate the battery charging and energy consumption, the specific steps are as follows: Obtain the battery power of the smart cane, and monitor the battery power in real time at every moment, and when the power value is between 0 and 100%, feedback the remaining battery power in real time; normalize the light adjustment value and the current battery power value 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 to charge. Set a power protection threshold. When the current battery reminder value is lower than the set power protection threshold, the user is reminded that the battery is low and the device enters energy-saving mode. It also 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 power, current battery power and ambient temperature are normalized to obtain the current charging current; when the temperature is within the range of 0℃ to 35℃, the temperature has no effect on the charging current; when the temperature is higher than 35℃, the charging current will be reduced according to the high temperature to protect the battery and avoid overheating; when the temperature is lower than 0℃, charging is stopped directly to avoid battery damage in low temperature environments; when the battery is fully charged to the preset maximum power, the charging operation is stopped.

6. The method for adjusting lighting of a smart walking stick applicable to different scenes 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 infrared sensors 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 there is an obstacle and the obstacle warning is triggered; Step 2: Measure the movement change of the smart cane through the accelerometer, 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 is greater than the set acceleration threshold, there is a sudden acceleration change; use the GPS sensor to detect whether it is in a busy traffic area, if a vehicle is approaching or there is a sudden acceleration change, that is, the acceleration of the smart cane in the X direction is greater than the set acceleration threshold and the GPS position is in a busy traffic area, then trigger an early warning; Step 3: When a dangerous situation is detected, the smart cane can provide the user with instant vibration feedback through the built-in vibration motor; the vibration intensity can be adjusted according to the severity of the danger; the obstacle detection distance and acceleration are normalized to obtain the vibration intensity value; Step 4: Set several vibration levels, each corresponding to a vibration intensity range, match the vibration intensity value with the set vibration level, and get the vibration level of the current warning; in order to avoid false alarms or frequent triggering of unnecessary alarms, users can set the delay time of alarm triggering by themselves, 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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