Self-adaptive cleaning and anti-freezing cooperative control system and method for escalator

Abstract

The invention discloses a self-adaptive cleaning and anti-freezing cooperative control system and method for an escalator. The system comprises an environment sensing module, an intelligent control module and an execution module. The environment sensing module monitors environment data in real time, including temperature, humidity, snowfall, illumination intensity and people flow density; the intelligent control module receives the environment data and judges a current environment mode according to a corresponding threshold value, wherein the environment mode comprises a snowy day mode, a humid mode, a composite mode and a conventional mode; the control module is also used for generating priorities of different functions through a self-adaptive dynamic priority algorithm, and generating a control instruction according to the environment mode and the priorities; the functions comprise snow melting, sterilization, ventilation and drying; and the execution module executes the corresponding function action according to the control instruction. According to the invention, a multi-dimensional sensing network of temperature and humidity, snowfall, illumination intensity and people flow density is adopted to collect environmental data in real time, function execution priorities are dynamically distributed, and cooperative control of cleaning, freezing prevention and sterilization is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of escalators, in particular to an escalator adaptive cleaning and anti-freezing collaborative control system and method. BACKGROUND

[0002] The existing escalator environmental adaptability design is mostly independent functional modules, which has the following problems: (1) single function, high energy consumption: such as snow melting and anti-freezing steps through electric heating wire heating, but lack of multi-dimensional environmental linkage control, single handrail sterilization; (2) response lag, low efficiency: not combined with environmental parameters such as temperature and humidity, the cleaning efficiency is limited, which cannot meet the real-time environmental change demand; (3) unable to meet the demand of complex scenes: each independent functional module is difficult to solve the comprehensive demand in the coexistence of ice and snow and moisture and other complex scenes; (4) lack of fault warning and redundancy fault tolerance mechanism, resulting in unstable operation of equipment, shortening the service life. Therefore, the existing escalator environmental adaptability design scheme cannot be applied to cold, humid and other complex environments. SUMMARY

[0003] The purpose of the present application is to provide an escalator adaptive cleaning and anti-freezing collaborative control system and method suitable for cold, humid and other complex environments, aiming to realize efficient and safe operation of escalators in extreme environments through intelligent control.

[0004] The technical scheme of the present application is as follows: the escalator adaptive cleaning and anti-freezing collaborative control system comprises an environmental perception module, an intelligent control module and an execution module.

[0005] The environmental perception module is used to monitor environmental data in real time by using sensors, including temperature, humidity, snowfall, light intensity and passenger flow density.

[0006] The intelligent control module is connected with the environmental perception module, used to receive environmental data and judge the current environmental mode according to the corresponding threshold value, the environmental mode including snow day, humid, complex and normal mode; also used to generate the priority of different functions through adaptive dynamic priority algorithm, and generate control instructions according to the environmental mode and priority; the functions include snow melting, sterilization, ventilation and drying.

[0007] The execution module is connected with the intelligent control module, and executes corresponding functional actions according to the control instructions.

[0008] Further, the snow day mode is that the snowfall sensor detects snowfall and the temperature is <0℃; the humid mode is that the temperature >0℃ and the humidity >80%; the complex mode is that the temperature is in the range of 0℃-10℃ and the humidity is in the range of 60%-80%; the normal mode is that the temperature >10℃ and the humidity is in the range of 30%-60%.

[0009] Further, the priority of different functions generated by the adaptive dynamic priority algorithm comprises:

[0010] The function priority of the snow mode from high to low is: snow melting, drying, ventilation, sterilization;

[0011] The function priority of the humid mode from high to low is: drying, ventilation, sterilization, and the snow melting function is not performed in this mode;

[0012] The function priority of the composite mode is dynamically adjusted according to whether there is snowfall: when snowfall is detected, the priority from high to low is: snow melting, drying, ventilation, sterilization; when no snowfall is detected, the priority from high to low is: drying, ventilation, sterilization, and the snow melting function is not performed.

[0013] The function priority of the regular mode from high to low is: sterilization, ventilation, and the snow melting and drying functions are not performed.

[0014] Further, the intelligent control module also adopts an energy consumption balancing strategy, which reduces the power of the heating wire used for snow melting, turns off the non-core sensors in the environment sensing module, and starts the self-checking and maintenance program during the low peak period of the escalator use.

[0015] Further, the intelligent control module also adopts a safety protection mechanism, which comprises:

[0016] The heating wire used for snow melting adopts an alloy heating wire, which is embedded in the micro-nano structure groove of the special alloy substrate in the escalator step, and the surface of the heating wire is covered with an insulating layer, and the heating wire is also divided into zones for temperature control, and the power density of the heating wire grid is ≤4.5W / dm²;

[0017] The ultraviolet lamp used for sterilization is installed in the closed disinfection cavity inside the escalator handrail, and the cavity is made of dark color opaque ultraviolet shielding material; ensure that the ultraviolet radiation is completely isolated outside the passenger contact area, and avoid direct irradiation of the human body;

[0018] The handrail of the escalator adopts titanium dioxide coating;

[0019] The sensor used for monitoring temperature and humidity adopts a double-redundancy temperature and humidity sensor.

[0020] Further, the intelligent control module also includes a fault diagnosis and early warning algorithm unit for performing intelligent operation and maintenance functions, adopts a fault early warning and redundancy fault tolerance mechanism, and monitors the running state of the escalator in real time, discovers potential faults and provides early warning information, which comprises:

[0021] When the error of the redundant temperature and humidity sensor data or the error of the redundant humidity sensor exceeds the corresponding threshold value, the sensor fault early warning is triggered;

[0022] If the temperature and humidity sensor and the humidity sensor data are normal, and the heating temperature rising rate of the electric heating wire for snow melting is less than the corresponding threshold value, the electric heating wire aging or open circuit warning is triggered;

[0023] If the humidity does not change for a period of time, the ventilation system failure warning is triggered;

[0024] The ultraviolet sensor feeds back the ultraviolet irradiance of the ultraviolet LED array for sterilization, compares the driving current to detect whether the ultraviolet LED array is attenuated or contaminated, and triggers a failure warning.

[0025] Further, the intelligent control module also adopts a time slice allocation based time division multiplexing control strategy, sets time slices according to environmental modes and priorities, including:

[0026] Snowy day mode: start the electric heating wire for snow melting and drying, adopt pulse heating strategy, each heating cycle is 8 minutes, of which 5 minutes for snow melting and 3 minutes for drying, control the heating power at the same time to ensure that the surface temperature of the step is uniform and does not exceed the set threshold, adjust the snow melting power when snow melting; when the ultraviolet sensor monitors that the ultraviolet irradiance of the ultraviolet LED array for sterilization is lower than the set threshold, enable full-power sterilization compensation for the non-sterilization amount during intermittent snowfall, start the ventilation function; start the step drying function, the electric heating wire runs at low power; turn off the sterilization function when it is snowing continuously, and the ventilation function runs at low power;

[0027] Humid mode: start the sterilization function, and execute the drying and sterilization functions intermittently all day long combined with the human flow density, when the human flow density is high, dry every 30 minutes for 10 minutes, the ventilation function runs at full power, and sterilize every 20 minutes for 10 minutes; when the human flow density is low, dry every 50 minutes for 10 minutes, the ventilation function runs at low power, and sterilize every 30 minutes for 10 minutes; wherein the sterilization power is determined according to the ultraviolet irradiance;

[0028] Compound mode: when it is snowing, the step heating and ventilation sterilization run alternately, the heating time slice is 8 minutes, of which 6 minutes for snow melting and 2 minutes for drying, the sterilization time slice is 4 minutes, of which 2 minutes for ventilation and 2 minutes for sterilization, and the electric heating wire power and time slice allocation are dynamically adjusted according to the real-time human flow density and snow amount, when it is snowing and the human flow density is high, the snow melting time is extended, when it is snowing and the human flow density is low, the snow melting time is shortened and the sterilization time is extended;

[0029] Normal mode: close the snow melting and drying functions, start the ultraviolet light for 10 minutes every 30 minutes, and the ventilation system runs for 10 minutes every 60 minutes.

[0030] To ensure the representativeness and comprehensiveness of the environmental data, the layout of each sensor on the escalator is as follows:

[0031] Temperature and humidity sensor installation position: respectively in the automatic escalator up and down entrance, truss middle part deployment;The temperature and humidity sensor of the entrance perceives the external environment, and the temperature and humidity sensor in the middle part of the truss monitors the internal environment of the equipment;

[0032] Snow sensor installation position: installed on the ceiling above the escalator or the side column, ensure that the detection field can cover the escalator entrance area, and not easy to be touched by passengers, preferentially and accurately perceive the snowfall in the escalator area;

[0033] Ultraviolet sensor installation position: located near the light outlet of the handrail belt disinfection cavity, and avoid direct irradiation of ultraviolet rays;For closed-loop monitoring of actual germicidal ultraviolet irradiance, feedback control of ultraviolet LED array driving current, compensation for irradiance attenuation caused by LED aging or pollution, to ensure constant sterilization effect;

[0034] Laser radar people flow sensor installation position: embedded in the ceiling above the escalator entrance, the lens is perpendicular downward, covering the entire step area;Through the overhead view angle, the static and moving targets in the step area are accurately counted, and the real personnel load is calculated, avoiding the counting error caused by the view angle problem;

[0035] The automatic escalator adaptive cleaning and anti-freezing collaborative control method disclosed by the application comprises the following steps:

[0036] Real-time monitoring of environmental data by sensors, including temperature, humidity, snowfall, light intensity and people flow density;

[0037] According to the environmental data and its corresponding threshold value, the current environment mode is judged, and the environment mode includes snow day, humid, composite and conventional mode;

[0038] Generate the priority of different functions through the adaptive dynamic priority algorithm, and generate the control instruction according to the environment mode and the priority;The functions include snow melting, sterilization, ventilation and drying;

[0039] According to the control instruction, the corresponding function action is executed.

[0040] The computer program product disclosed by the application comprises a computer program, and the computer program is executed by a processor to realize the automatic escalator adaptive cleaning and anti-freezing collaborative control method.

[0041] The computer readable storage medium of the application stores a computer program, and the computer program is executed by a processor to realize the escalator adaptive cleaning and anti-freezing collaborative control method. Compared with the prior art, the application has the following advantages: (1) multi-level environmental parameter sensing and intelligent collaboration: the application uses a multi-dimensional sensing network of temperature, humidity, snow amount, light intensity and passenger flow density to collect environmental data in real time, monitors and constructs the environmental state in real time through multi-source data fusion technology, dynamically allocates function execution priority based on a dynamic priority algorithm, and realizes collaborative control of cleaning, anti-freezing and sterilization; (2) intelligent adaptive control logic: based on the dynamic priority algorithm and time-sharing multiplexing technology, the environmental scene is judged according to multi-dimensional environmental and operation data such as temperature, humidity, time and passenger flow density, and the function intensity is adjusted according to different environmental scenes; (3) alloy heating wire is used, the layout, position and surface insulation layer of the heating wire mesh in the step are optimized, temperature control is realized by combining precise environmental temperature feedback, and multi-redundant temperature and humidity sensors are used to improve system reliability and temperature control accuracy; the handrail belt combines high-performance ultraviolet LED, constant current source driving cooperates with high-precision ultraviolet sensor to automatically adjust irradiance, enhances sterilization effect while reducing energy consumption; (4) fault early warning and redundancy fault tolerance mechanism: the double-redundant temperature and humidity sensors compare data in real time, combine heating wire temperature rise rate monitoring (trigger aging alarm), monitor ultraviolet LED irradiance attenuation and automatically compensate to avoid sterilization function degradation. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 The automatic escalator adaptive cleaning and anti-freezing collaborative control system structure diagram of the embodiment of the application.

[0043] Figure 2 The circuit control group schematic diagram of the embodiment of the application.

[0044] Figure 3 The environmental mode judgment flow chart of the embodiment of the application.

[0045] Figure 4 The time-sharing multiplexing control strategy and time slice allocation schematic diagram of the embodiment of the application.

[0046] Figure 5 The fault diagnosis and early warning flow chart of the embodiment of the application. DETAILED DESCRIPTION

[0047] The technical solutions of the application will be further described below with reference to the drawings.

[0048] As shown in Figure 1 , the automatic escalator adaptive cleaning and anti-freezing collaborative control system comprises an environmental sensing module, an intelligent control module, an execution module and a circuit control group.

[0049] An environmental perception module for real-time monitoring of environmental parameters; including a snow amount sensor 1, a temperature and humidity sensor 2, an ultraviolet sensor 3, and a laser radar people flow density sensor 4, respectively for monitoring the snow amount, temperature and humidity, light intensity, and people flow density of the environment.

[0050] An intelligent control module including a dynamic priority algorithm unit and implemented through a central controller 5; the central controller 5 is connected to the environmental perception module for receiving and processing environmental data, determining the current environmental mode according to a preset threshold, and selecting a control strategy through a dynamic priority algorithm combined with a time division multiplexing control strategy.

[0051] An execution module connected to the intelligent control module for performing corresponding functional actions according to control instructions, including an ultraviolet LED array 6, a ventilation device 7, and an electric heating wire grid 10, respectively for implementing sterilization, ventilation, and pedal heating functions.

[0052] A circuit control group, as shown in Figure 2 , including a power connection U1, a power connection U2, a power connection U3, and a plurality of wires.

[0053] Specifically, the multi-source sensor data (temperature, humidity, snow amount) collected by the environmental perception module is introduced into a multi-sensor data fusion algorithm based on Kalman filtering to improve the accuracy of environmental mode determination, and the optimal estimation theory is used to overcome single sensor noise and instantaneous error. This process is implemented by the Kalman filtering algorithm, as follows:

[0054]

[0055] In the formula, is the system state vector at time k, , , represent the true value estimates of temperature, humidity, and snow amount, respectively. is the observation value vector of all sensors at time k. is the state transition matrix, is the observation matrix. and are the system process noise and observation noise, respectively. The core recursive process is as follows:

[0056]

[0057]

[0058]

[0059]

[0060]

[0061] in, Let P be the Kalman gain, and P be the covariance matrix of the estimation error. , , Let represent the optimal estimate at the current time, the predicted value at the current time, and the optimal estimate at the previous time, respectively. , , These represent the degree of uncertainty of the current optimal estimate, the current prediction, and the estimate at the previous time step, respectively. and These are the covariance matrices of process noise and observation noise, respectively. Through this algorithm, the system obtains more reliable and smoother environmental state data, laying a precise data foundation for subsequent environmental pattern judgment.

[0062] Specifically, the heating wire mesh uses a new type of alloy material with a power density of ≤4.5W / dm². It is embedded in the micro-nano structure groove of the special alloy substrate of the pedal 8, and the surface is covered with a high-temperature resistant and high-strength insulation layer 9, which can be used for both pedal heating and drying (2.0W / dm²) and pedal heating and snow melting (3.0-4.5W / dm²).

[0063] Specifically, the ultraviolet LED array 6 emits ultraviolet light, and the ultraviolet sensor 3 is used to monitor the ambient ultraviolet irradiance and convert the light signal into an electrical signal to feed back to the central controller 5, which dynamically adjusts the driving current of the ultraviolet LED array, so as to realize the automatic adjustment of the irradiance of the ultraviolet LED array 6 and achieve efficient sterilization.

[0064] Specifically, ventilation device 7 optimizes air circulation by guiding hot air to cover the base of the handrail belt through an inclined air guide plate, thereby optimizing the ventilation system design to reduce humidity and prevent water accumulation and mold growth inside the equipment.

[0065] Specifically, the intelligent control module determines the current environmental mode based on preset thresholds, such as... Figure 3 As shown, the snow mode is as follows: the temperature and humidity sensor and the snowfall sensor work together to detect low temperature and snowfall, and the temperature is <0℃ according to the sensor data. The humid mode is as follows: the temperature is >0℃ and the humidity is >80% according to the sensor data. The combined mode is as follows: the temperature is between 0℃ and 10℃, the humidity is between 60% and 80%, and the presence or absence of snowfall is detected by the snowfall sensor. The normal mode is as follows: the temperature is >10℃ and the humidity is between 30% and 60%.

[0066] Specifically, the intelligent control module allocates the execution priority of each function under different environmental modes based on a dynamic priority algorithm. In snow mode, the function priority is: heating and snow melting > heating and drying > ventilation > sterilization. In humid mode, the function priority is: heating and drying > ventilation > sterilization, with no heating and snow melting function. In combined mode, the function priority is: if there is snowfall, heating and snow melting > heating and drying > ventilation > sterilization; if there is no snowfall, the pedal heating function is off. In normal mode, the function priority is: pedal heating function off, sterilization > ventilation.

[0067] Specifically, the intelligent control module maximizes energy efficiency through time-sharing multiplexing technology, ensuring long-term stable operation of the system under various extreme environments, i.e., selecting the required time slices according to the environment. The control strategies for each mode are as follows.

[0068] Snow Mode: Temperature and humidity sensors and snowfall sensors work together to detect low temperatures and snowfall. Based on sensor data, the pedal heating and snow melting functions are activated first. During the heating process, a pulse heating strategy is adopted, with each heating cycle lasting 8 minutes, including 5 minutes of snow melting and 3 minutes of drying. The heating power is controlled to ensure that the pedal surface temperature is uniform and does not exceed the set threshold (≤38℃). The handrail sterilization is delayed to reduce total power consumption. The heating and snow melting power is dynamically adjusted based on snowfall sensor data: 3.0W / dm² for light snow (snow accumulation rate <1mm / min), 4.0W / dm² for moderate snow (snow accumulation rate 1-3mm / min), and 4.5W / dm² for heavy snow (snow accumulation rate >3mm / min). The sterilization function is turned off during continuous snowfall, and the ventilation function operates at low power. When the ultraviolet sensor detects that the ultraviolet irradiance is below 20μW / cm² during snowfall intervals, full-power sterilization is activated to compensate for the amount of unsterilized snowfall. The ventilation function is activated to prevent condensation buildup inside the truss, ensuring the equipment is dry and reducing the risk of failure. The pedal heating and drying is activated, and the heating wire operates at low power (2.0W / dm²) to prevent icing. When the snow stops, the normal cycle is resumed.

[0069] Humidity Mode: Activates ultraviolet sterilization of the handrail belt, combined with real-time crowd density feedback from the crowd density sensor 4, the heating and drying and ultraviolet sterilization functions operate intermittently throughout the day, under high crowd density (>2 people / m²). 2 Heating and drying start for 10 minutes every 30 minutes; ventilation function operates at full power; sterilization starts for 10 minutes every 20 minutes; low personnel density (<2 people / m²). 2 Heating and drying start for 10 minutes every 50 minutes, ventilation function operates at low power, and sterilization starts for 10 minutes every 30 minutes.

[0070] Composite mode: Based on sensor data, in composite mode, sterilization, ventilation, heating for snow melting, and heating for drying are reused in a time-sharing manner according to functional priority. The time slot allocation is dynamically adjusted based on real-time pedestrian density feedback from pedestrian density sensor 4. For example, if snow sensor 1 detects snow and the pedestrian density is high (≥2 people / m²), the system will adjust the time slot allocation accordingly. 2 Extend the heating and snow melting time to ensure no risk of icing on the treads, and maintain low pedestrian density (<2 people / m²). 2 Shorten the heating and snow melting time, extend the sterilization time and improve the disinfection effect; based on the time-slice allocation time-sharing reuse control strategy, the pedal heating and ventilation sterilization operate alternately, such as... Figure 4 As shown, the heating time is 8 minutes (6 minutes for heating and melting snow, and 2 minutes for heating and drying), and the sterilization time is 4 minutes (2 minutes for ventilation and 2 minutes for sterilization). The power of the heating wire and the allocation of the time are dynamically adjusted according to the real-time passenger flow density and snow volume to ensure passenger safety and optimize system energy efficiency.

[0071] Normal mode: Pedal heating is completely off, UV light is activated for 10 minutes every 30 minutes, and the ventilation system runs for 10 minutes every 60 minutes.

[0072] The intelligent control module achieves adaptive control through the following steps:

[0073] Step 1: The sensor collects environmental data in real time and transmits it to the central controller 5;

[0074] Step 2: The central controller 5 determines the current environmental mode based on preset thresholds, including snow, humidity, mixed, or normal modes;

[0075] Step 3: Dynamically prioritize resources according to the current environment mode and generate the optimal control strategy;

[0076] Step 4: Balance energy consumption through time-sharing multiplexing technology to ensure long-term stable and efficient operation of the system.

[0077] In some optional embodiments, the intelligent control module also includes an energy balance strategy: during off-peak hours (00:00-05:00), it automatically reduces the power of the heating wire to 2.5W / dm² and shuts down non-core sensors; it also initiates system self-test and maintenance procedures to extend equipment life and reduce operation and maintenance costs.

[0078] In some optional embodiments, the intelligent control module further includes a fault diagnosis and early warning algorithm unit, used to execute fault diagnosis and early warning algorithms, monitor the equipment operating status in real time, detect potential faults in advance and provide early warning information, so that maintenance personnel can take timely measures, reduce downtime, and improve the overall operating efficiency of the equipment. Figure 5As shown, redundant temperature and humidity sensor data (normal temperature error ≤5℃, humidity error ≤10%) are compared in real time to trigger sensor fault warnings. If the temperature and humidity sensor data are normal, and the heating wire's temperature rise rate is <1℃ / min, a heating wire aging / open circuit warning is triggered. If the humidity remains unchanged for an extended period, a ventilation system fault warning is triggered. A redundant ultraviolet sensor provides feedback on the ultraviolet irradiance of the ultraviolet LED array 6, and the driving current is compared to determine if the ultraviolet LED array 6 has experienced attenuation or contamination, thus preventing degradation of the sterilization function.

[0079] The fault diagnosis and early warning algorithm unit introduces a prediction model based on time series analysis to achieve early warning of performance degradation of key components.

[0080] Electric heating wire aging early warning model:

[0081] The system monitors the resistance of the heating wire. Relative to the initial value To assess their health status by changes in aging factors :

[0082]

[0083] when threshold or its rate of change When the set threshold is exceeded, the system triggers an early warning for the early aging of the heating wire, prompting preventative maintenance.

[0084] Ultraviolet LED Irradiance Attenuation Monitoring and Compensation Model:

[0085] Irradiance of ultraviolet LEDs The decay law with working time t conforms to:

[0086]

[0087] in Initial irradiance, This represents the attenuation coefficient. The system monitors irradiance in real time using an ultraviolet sensor. The measured value was compared with the theoretical decay curve. When the measured value was significantly lower than the theoretical expectation, it was determined that the LED was contaminated or experiencing abnormal decay. Simultaneously, the system automatically adjusted the drive current through closed-loop control. Compensation is performed to ensure the stability of the sterilization effect throughout its entire life cycle.

[0088]

[0089] In the formula, For target irradiance, This is the drive current before automatic adjustment.

[0090] In some optional embodiments, the intelligent control module also includes safety protection mechanisms: zoned temperature control of the heating wire to avoid overheating risks; dual redundant temperature and humidity sensors to ensure temperature control accuracy; and a titanium dioxide coating that is non-toxic, environmentally friendly, and has excellent antibacterial effects.

[0091] The system described in this invention is applicable to various complex environmental scenarios, including but not limited to open-air subway stations in extremely cold northern regions, underground shopping malls during the rainy season in southern regions, and escalator scenarios in high-altitude plateau areas. It can significantly extend equipment lifespan, reduce equipment maintenance frequency and costs, and improve equipment reliability and availability. The following specific examples demonstrate the system described in this invention.

[0092] Case 1: An open-air subway station scene in the extreme cold of northern China.

[0093] Environmental conditions: outdoor temperature -15℃, humidity 65%, continuous snowfall, moderate snowfall (snow accumulation rate 1-3mm / min), low ultraviolet radiation (<20μW / cm²), peak hour pedestrian density 1.5 people / m².

[0094] Control Logic: Upon recognizing a snowy weather mode, the temperature and humidity sensors, along with the snowfall sensor, detect low temperatures and snowfall, triggering the pedal heating wire power density to 4.0W / dm² (controlling surface temperature ≤38℃) to ensure no snow accumulation or ice formation on the pedals. Sterilization of the handrail is delayed. Intermittent pedal heating and drying are activated, with the heating wire operating at low power (2.0W / dm²) to prevent icing. The ventilation function operates at low power to prevent condensation buildup within the truss, ensuring internal dryness and reducing the risk of malfunction. Full-power sterilization is activated to compensate for any unsterilized snowfall; the cycle resumes normally after snowfall stops.

[0095] During the heating process, a pulse heating strategy is adopted, with each heating cycle lasting 8 minutes, including 5 minutes for heating and melting snow and 3 minutes for heating and drying. This effectively saves energy, ensures that the pedal temperature is uniform and stable, and improves passenger comfort.

[0096] Case 2: Scene from an underground shopping mall during the rainy season in southern China.

[0097] Environmental conditions: temperature 18℃, humidity 92%, no snowfall, low ultraviolet radiation (<20μW / cm²), peak hour pedestrian density 3 people / m².

[0098] Control logic: If the system detects a humid environment, turn off the pedal heating. High pedestrian density (>2 people / m²) 2The ventilation function operates at full power, accelerating air circulation, reducing humidity, preventing combustibles from becoming damp and sticky, and improving the stability and safety of equipment operation. Simultaneously, the inclined air guide vanes improve ventilation efficiency and reduce energy waste. The heating and drying functions and ultraviolet sterilization functions operate intermittently at full power throughout the day. The heating and drying function activates for 10 minutes every 30 minutes, and the sterilization function activates for 10 minutes every 20 minutes, ensuring the handrail surface is dry and clean, and inhibiting bacterial growth.

[0099] Case 3: Escalator scene in southern region during winter.

[0100] Environmental conditions: Temperature 2℃, humidity 70%, light snow (snow accumulation rate <1mm / min), moderate ultraviolet radiation (20-80 μW / cm²), and population density 2 people / m².

[0101] Control logic: When the system is identified as a composite mode, the heating and snow melting time is extended to ensure that the pedals are free from the risk of icing. The pedal heating and ventilation sterilization alternate. The heating time is 8 minutes (6 minutes for heating and snow melting, and 2 minutes for heating and drying), and the sterilization time is 4 minutes (2 minutes for ventilation and 2 minutes for sterilization at 70% power). The power of the heating wire and the time allocation are dynamically adjusted according to the real-time passenger flow density and snow volume to ensure passenger safety and optimize system energy efficiency.

[0102] The adaptive cleaning and antifreeze coordinated control method for escalators according to the present invention includes the following steps:

[0103] Using sensors to monitor environmental data in real time, including temperature, humidity, snowfall, light intensity, and population density;

[0104] The current environmental mode is determined based on environmental data and its corresponding thresholds. Environmental modes include snow, humidity, mixed, and normal modes.

[0105] An adaptive dynamic priority algorithm is used to generate priorities for different functions, and control commands are generated based on the environmental mode and priorities; the functions include snow melting, sterilization, ventilation and drying;

[0106] Execute the corresponding functional actions according to the control instructions.

[0107] The computer program product of the present invention includes a computer program that, when executed by a processor, implements the adaptive cleaning and antifreeze coordinated control method for escalators.

[0108] The computer-readable storage medium of the present invention stores a computer program, which, when executed by a processor, implements the adaptive cleaning and antifreeze coordinated control method for escalators.

Claims

1. An adaptive cleaning and antifreeze coordinated control system for escalators, characterized in that, It includes an environmental perception module, an intelligent control module, and an execution module; The environmental sensing module is used to monitor environmental data in real time using sensors, including temperature, humidity, snowfall, light intensity, and pedestrian density. The intelligent control module, connected to the environmental sensing module, is used to receive environmental data and determine the current environmental mode based on corresponding thresholds. The environmental modes include snow, humidity, mixed, and normal modes. It is also used to generate priorities for different functions through an adaptive dynamic priority algorithm and generate control commands based on the environmental mode and priorities. The functions include snow melting, sterilization, ventilation, and drying. The execution module is connected to the intelligent control module and performs corresponding functional actions according to control commands.

2. The adaptive cleaning and antifreeze coordinated control system for escalators according to claim 1, characterized in that, The snow mode is when the snow sensor detects snowfall and the temperature is <0℃; the humid mode is when the temperature is >0℃ and the humidity is >80%; the composite mode is when the temperature is in the range of 0℃-10℃ and the humidity is in the range of 60%-80%; and the normal mode is when the temperature is >10℃ and the humidity is in the range of 30%-60%.

3. The adaptive cleaning and antifreeze coordinated control system for escalators according to claim 1, characterized in that, The method of generating priorities for different functions through an adaptive dynamic priority algorithm includes: The snow mode's function priority, from highest to lowest, is: snow melting, drying, ventilation, and sterilization; The priority of functions in the humid mode, from highest to lowest, is: drying, ventilation, sterilization. The snow melting function is not performed in this mode. The functional priority of the composite mode is dynamically adjusted according to whether there is snowfall: when snowfall is detected, the priority from high to low is: snow melting, drying, ventilation, sterilization; when no snowfall is detected, the priority from high to low is: drying, ventilation, sterilization, and the snow melting function is not executed. In normal mode, the function priorities from highest to lowest are: sterilization and ventilation, and snow melting and drying functions are not performed.

4. The adaptive cleaning and antifreeze coordinated control system for escalators according to claim 1, characterized in that, The intelligent control module also adopts an energy balance strategy, which reduces the power of the heating wires used for snow melting during the preset off-peak hours of escalator use, shuts down non-core sensors in the environmental sensing module, and initiates self-test and maintenance procedures.

5. The adaptive cleaning and antifreeze coordinated control system for escalators according to claim 1, characterized in that, The intelligent control module also employs a security protection mechanism, including: The heating wire used for snow melting is an alloy heating wire, which is embedded in the micro-nano structure groove of a special alloy substrate inside the escalator tread. The surface of the heating wire is covered with an insulating layer. At the same time, the heating wire is temperature controlled in zones. The power density of the heating wire grid is ≤4.5W / dm². An ultraviolet lamp for sterilization is installed inside a sealed disinfection chamber on the inside of the escalator handrail. The chamber is made of a dark, opaque ultraviolet shielding material. The handrails of the escalators are coated with titanium dioxide. Dual redundant temperature and humidity sensors are used for the sensors used to monitor temperature and humidity.

6. The adaptive cleaning and antifreeze coordinated control system for escalators according to claim 5, characterized in that, The intelligent control module also includes a fault diagnosis and early warning algorithm unit, used to execute intelligent operation and maintenance functions. It employs a fault early warning and redundancy fault-tolerance mechanism to monitor the escalator's operating status in real time, detect potential faults, and provide early warning information, including: When the error in the data from the redundant temperature and humidity sensor or the error of the redundant humidity sensor exceeds its corresponding threshold, a sensor fault warning is triggered. If the temperature and humidity sensors and humidity sensor data are normal, and the heating rate of the electric heating wire used for snow melting is less than its corresponding threshold, an alarm for aging or open circuit of the electric heating wire will be triggered. If the humidity remains unchanged for a period of time, a ventilation system malfunction warning will be triggered. The ultraviolet sensor provides feedback on the ultraviolet irradiance of the ultraviolet LED array used for sterilization, compares it with the drive current to detect whether the ultraviolet LED array is attenuated or contaminated, and triggers a fault warning.

7. The adaptive cleaning and antifreeze coordinated control system for escalators according to claim 5, characterized in that, The intelligent control module also employs a time-division multiplexing control strategy based on time-slice allocation, setting time slices according to environmental modes and priorities, including: Snow Mode: The heating element is activated for snow melting and drying, employing a pulse heating strategy. Each heating cycle lasts 8 minutes, with 5 minutes for snow melting and 3 minutes for drying. Heating power is controlled to ensure uniform surface temperature of the pedals and that it does not exceed a set threshold. The heating power is adjusted based on the amount of snowfall during snow melting. When the UV sensor detects that the UV irradiance of the UV LED array used for sterilization is below a set threshold, full-power sterilization is activated during snowfall intervals to compensate for unsterilized snowfall, and ventilation is activated. The pedal drying function is activated, with the heating element operating at low power. During continuous snowfall, sterilization is disabled, and ventilation operates at low power. Humidity mode: Sterilization function is activated, and drying and sterilization functions are intermittently operated throughout the day based on the density of people. When the density of people is high, drying is activated for 10 minutes every 30 minutes, ventilation is at full power, and sterilization is activated for 10 minutes every 20 minutes; when the density of people is low, drying is activated for 10 minutes every 50 minutes, ventilation is at low power, and sterilization is activated for 10 minutes every 30 minutes. Composite mode: When there is snowfall, the pedal heating and ventilation sterilization alternate. The heating time is 8 minutes, including 6 minutes of heating and melting snow and 2 minutes of heating and drying. The sterilization time is 4 minutes, including 2 minutes of ventilation and 2 minutes of sterilization. The power of the heating wire and the distribution of the time are dynamically adjusted according to the real-time flow density and snowfall. When there is snowfall and the flow density is high, the snow melting time is extended. When there is snowfall and the flow density is low, the snow melting time is shortened and the sterilization time is extended. Normal mode: Snow melting and drying functions are off, UV light is activated for 10 minutes every 30 minutes, and the ventilation system runs for 10 minutes every 60 minutes.

8. A method for adaptive cleaning and antifreeze coordinated control of escalators based on the system described in claim 1, characterized in that, Includes the following steps: Using sensors to monitor environmental data in real time, including temperature, humidity, snowfall, light intensity, and population density; The current environmental mode is determined based on environmental data and its corresponding thresholds. Environmental modes include snow, humidity, mixed, and normal modes. The algorithm generates priorities for different functions using an adaptive dynamic priority algorithm, and generates control commands based on the environmental mode and priorities; the functions include snow melting, sterilization, ventilation and drying. Execute the corresponding functional actions according to the control instructions.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the adaptive cleaning and antifreeze coordinated control method for escalators according to claim 8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the adaptive cleaning and antifreeze coordinated control method for escalators according to claim 8.

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