A hoistway system with intelligent perception

CN224915905UActive Publication Date: 2026-10-30BEIJING MATERIALS HANDLING TECH INST CO LTD +1
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Patent Information

Application Number
CN202522315649.9
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2025-10-31
Publication Date
2026-10-30
Estimated Expiration
2035-10-31

AI Technical Summary

Technical Problem

(1)环境感知缺失:无法实时监测吊厢内温度、湿度、空气质量(如 PM2.5 浓度)及光照强度等环境参数

Benefits of technology

[0010]本申请所述的一种带智能感知的吊厢系统,包括中央控制单元以及与所述中央控制单元连接的环境感知模块、人数监测模块、执行机构;通过环境感知模块实时采集吊厢内的温湿度、PM2.5浓度和光照强度;通过人数监测模块实时采集吊厢内的乘客人数和乘客总重量;由中央控制单元据预设的环境参数、乘客人数及总重量的判断阈值,对环境感知模块和人数监测模块传输的数据进行数据比对,生成下发至执行机构的控制指令,以对环境参数进行调节或者预警。从而克服传统客运索道吊厢无智能感知、人数统计误差大、无超载预警及自动响应能力的缺陷,实现吊厢的智能监测。

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Abstract

The application provides a hanging cabin system with intelligent sensing, and relates to the technical field of intelligent hanging cabin, which comprises a central control unit, an environment sensing module, a passenger number monitoring module and an actuating mechanism connected with the central control unit; the temperature and humidity, PM2.5 concentration and light intensity in the hanging cabin are collected in real time through the environment sensing module; the passenger number and total weight in the hanging cabin are collected in real time through the passenger number monitoring module; the central control unit compares the data transmitted by the environment sensing module and the passenger number monitoring module according to the preset judgment threshold of the environmental parameters, passenger number and total weight, generates control instructions issued to the actuating mechanism to adjust the environmental parameters or give early warning, so as to overcome the defects of the traditional passenger cableway hanging cabin, such as no intelligent sensing, large passenger number statistical error, no overload early warning and automatic response capability, and realize intelligent monitoring of the hanging cabin.
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Description

Technical Field

[0001] This application relates to the field of intelligent gondola technology, and more specifically, to a gondola system with intelligent sensing capabilities. Background Technology

[0002] As an important means of transportation in mountain scenic areas, ski resorts and other scenarios, the safety and comfort of passenger gondolas directly affect passenger experience and operational safety. At present, traditional passenger gondolas only have basic passenger carrying and transportation functions, and there are obvious deficiencies in terms of intelligence and safety assurance. (1) Lack of environmental perception: It is impossible to monitor environmental parameters such as temperature, humidity, air quality (such as PM2.5 concentration) and light intensity in the gondola in real time. When environmental parameters are abnormal (such as high temperature, high humidity or PM2.5 exceeding the standard), it is impossible to take timely adjustment measures, which can easily lead to problems such as stuffiness and discomfort and difficulty breathing for passengers, and may even cause health risks. (2) The number of passengers and overload monitoring rely on manual labor: The number of passengers in the gondola is counted entirely by the staff's naked eye, which has the problem of large counting errors and easy to overlook; at the same time, there is no weight monitoring mechanism, which makes it impossible to accurately judge whether it is overloaded, which makes it difficult to meet the safety specifications of passenger gondola operation and poses safety hazards. (3) No proactive warning and automatic response capability: When environmental abnormalities or overload occur, traditional hoisting cars cannot proactively issue warning information, nor can they automatically perform adjustment actions (such as adjusting ventilation or turning on lighting). They need to rely on manual intervention, resulting in low response efficiency and further increasing operational risks. Utility Model Content

[0003] In view of this, the purpose of this application is to provide a gondola system with intelligent sensing, which can realize real-time monitoring of environmental parameters, number of passengers and weight inside the gondola, and automatically execute adjustment actions and safety warnings based on the monitoring data, so as to ensure operational safety and passenger experience.

[0004] In a first aspect, embodiments of this application provide a gondola system with intelligent sensing, including a central control unit and an environmental sensing module, a people monitoring module, and an actuator connected to the central control unit; wherein, the environmental sensing module consists of a temperature and humidity sensor, a PM2.5 detector, and a light sensor, used to collect the temperature and humidity inside the gondola through the temperature and humidity sensor, the PM2.5 concentration inside the gondola through the PM2.5 detector, and the light intensity inside the gondola through the light sensor, and to transmit the collected temperature, humidity, PM2.5 concentration, and light intensity data to the central control unit; the people monitoring module consists of 3 The system comprises a 3D structured light camera and a pressure sensor array. The 3D structured light camera collects the number of passengers inside the gondola, and the pressure sensor array collects the total weight of the passengers inside the gondola. The collected data on the number of passengers and the total weight are then aggregated and transmitted to the central control unit. The central control unit compares the data transmitted by the environmental sensing module and the passenger monitoring module based on preset thresholds for environmental parameters, passenger numbers, and total weight. It then generates control commands and sends them to the actuator. The actuator adjusts the environmental parameters or issues warnings based on the control commands sent by the central control unit.

[0005] In some embodiments, it also includes: The communication module includes a wireless transmission device and a local storage device, used to store the data received by the central control unit and the control commands generated by the central control unit through the local storage device, and to synchronize the data received by the central control unit and the control commands generated by the central control unit to the cableway control center through the wireless transmission device.

[0006] In some embodiments, the actuator comprises an automatic vent regulating valve, a lighting device, and a voice announcer, and is used to adjust the opening degree of the vent through the automatic vent regulating valve, adjust the brightness of the light through the lighting device, or play voice messages through the voice announcer according to the control commands sent by the central control unit.

[0007] In some embodiments, the environmental sensing module, the 3D structured light camera, the central control unit, the lighting device, the voice broadcaster, and the communication module are integrated into a mounting box, which is fixed to the top of the hoisting box; the pressure sensor array is evenly arranged at the bottom of the hoisting box; and the automatic ventilation valve is installed at the ventilation opening of the hoisting box.

[0008] In some embodiments, the preset judgment thresholds of the central control unit include a first temperature and humidity judgment threshold, a second temperature and humidity judgment threshold, a PM2.5 concentration judgment threshold, and a light intensity judgment threshold. Specifically, when the temperature and humidity inside the gondola are lower than the first temperature and humidity judgment threshold, the central control unit generates a shut-off command to the automatic ventilation valve and a first voice command to the voice announcer. When the temperature and humidity inside the gondola are higher than the second temperature and humidity judgment threshold, the central control unit generates a fully open command to the automatic ventilation valve and a second voice command to the voice announcer. When the temperature and humidity inside the gondola are between the first and second temperature and humidity judgment thresholds, the central control unit generates a partially open command to the automatic ventilation valve and a third voice command to the voice announcer. When the PM2.5 concentration inside the gondola is higher than the PM2.5 concentration judgment threshold, the central control unit generates a fourth voice command to the voice announcer. When the light intensity inside the gondola is lower than the light intensity judgment threshold, the central control unit generates an open command to the lighting device and a fifth voice command to the voice announcer.

[0009] In some embodiments, the preset judgment thresholds of the central control unit include a passenger number judgment threshold and a passenger total weight judgment threshold; wherein, when the number of passengers in the gondola exceeds the passenger number judgment threshold, the central control unit generates a sixth voice command to the voice broadcaster; when the total weight of the passengers in the gondola exceeds the passenger total weight judgment threshold, the central control unit generates a seventh voice command to the voice broadcaster.

[0010] This application describes a gondola system with intelligent sensing, comprising a central control unit and an environmental sensing module, a passenger monitoring module, and an actuator connected to the central control unit. The environmental sensing module collects real-time data on temperature, humidity, PM2.5 concentration, and light intensity within the gondola; the passenger monitoring module collects real-time data on the number of passengers and their total weight within the gondola. The central control unit compares the data transmitted from the environmental sensing module and the passenger monitoring module based on preset thresholds for environmental parameters, passenger numbers, and total weight, and generates control commands to be sent to the actuator to adjust or issue warnings for the environmental parameters. This overcomes the shortcomings of traditional passenger ropeway gondolas, such as lack of intelligent sensing, large errors in passenger counting, and lack of overload warnings and automatic response capabilities, thus achieving intelligent monitoring of the gondola. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A structural block diagram of the intelligent sensing gondola system described in an embodiment of this application is shown; Figure 2 A schematic diagram of the structure of the hoisting box according to an embodiment of this application is shown.

[0013] In the diagram: 1. Central control unit, 2. Environmental sensing module, 3. People monitoring module, 4. Actuator, 5. Communication module. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0015] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0016] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0017] In view of the technical problems mentioned in the background art, this application provides a gondola system with intelligent sensing, which can realize real-time monitoring of environmental parameters, number of passengers and weight inside the gondola, and automatically execute adjustment actions and safety warnings based on the monitoring data, so as to ensure operational safety and passenger experience.

[0018] See the instruction manual appendix Figure 1 Included with instruction manual Figure 2 This application provides a gondola system with intelligent sensing, comprising: Environmental sensing module 2 is connected to central control unit 1 and is used to collect environmental parameters inside the gondola and transmit them to the central control unit. The passenger monitoring module 3 is connected to the central control unit 1 and is used to collect data on the number of passengers and total weight in the gondola and transmit it to the central control unit. The central control unit 1 is used to compare the data transmitted by the environmental sensing module 2 and the passenger monitoring module 3 according to the preset environmental parameters, passenger number and total weight judgment thresholds, generate control commands and send them to the actuator 4; Actuator 4 is connected to the central control unit 1 and is used to execute control commands sent by the central control unit 1; The communication module 5 includes a wireless transmission device and a local storage device, used to store the data received by the central control unit 1 and the control commands generated by the central control unit 1 through the local storage device, and to synchronize the data received by the central control unit 1 and the control commands generated by the central control unit 1 to the cableway control center through the wireless transmission device.

[0019] The environmental sensing module 2 is mainly used to capture key environmental parameters inside the gondola in real time, providing data for subsequent intelligent adjustment and early warning. This overcomes the problem that traditional gondolas cannot monitor the internal environment in real time, and passengers are prone to discomfort (such as stuffiness and difficulty breathing) due to abnormal temperature and humidity, poor air quality, and insufficient lighting.

[0020] Specifically, the environmental sensing module 2 consists of a temperature and humidity sensor, a PM2.5 detector, and a light sensor. The temperature and humidity sensor monitors the temperature and relative humidity inside the gondola in real time to determine if the environment is suitable for travel, avoiding passenger discomfort caused by low / high temperatures or low / high humidity (such as cold in winter or stuffy in summer), and providing accurate data support for subsequent automatic adjustment of ventilation vents. The PM2.5 detector measures the concentration of fine particulate matter in the air to mitigate hidden health risks. In mountainous / scenic areas, gondolas may experience PM2.5 levels exceeding standards due to external dust or pollen; detection can promptly remind sensitive individuals to take precautions (such as wearing masks) or trigger air purification devices (HEPA filters, negative ion generators) to improve air quality. The light sensor detects the light intensity inside the gondola to address safety hazards caused by dim lighting. For example, when the gondola passes through tunnels, operates on cloudy days, or at night, insufficient lighting can easily lead to passengers bumping into each other or items falling, providing accurate data support for automatically triggering lighting to ensure passenger safety.

[0021] The main purpose of setting up the passenger monitoring module 3 is to capture the total number of people and total weight in the gondola in real time. This provides data basis for subsequent verification of both the number of people and weight to accurately determine whether the gondola is overloaded. This solves the problem that traditional gondolas rely on manual counting to count the number of people, which is prone to omissions and errors. Furthermore, the lack of weight monitoring leads to the risk of overloading (such as when the number of people does not exceed the limit but the total weight exceeds the limit when the passenger weight exceeds the limit).

[0022] Specifically, the passenger count monitoring module 3 consists of a 3D structured light camera and a pressure sensor array. The 3D structured light camera is positioned at the top of the gondola and uses stereoscopic vision technology to count passengers. Unlike traditional manual counting, 3D structured light can identify passenger body contours, avoiding counting errors caused by passenger obstruction or children being held, achieving accurate counting and avoiding missed counts, providing direct evidence for overload warnings. The pressure sensor array is evenly distributed at the bottom of the gondola to detect the total weight of passengers, supplementing verification and preventing weight overload. In some scenarios (passengers carrying heavy items), the number of passengers may not exceed the limit, but the total weight may. This forms a dual overload prevention system combining passenger count and weight, eliminating safety hazards.

[0023] The central control unit 1 is mainly used to receive data from various modules, run intelligent algorithms, and generate control commands so that the system can respond proactively (such as opening windows or turning on lights) to solve the problem that traditional gondolas have no autonomous decision-making ability, all adjustments rely on manual intervention, and have low response efficiency.

[0024] The actuator 4 primarily transforms the logical judgments of the central control unit 1 into perceptible adjustment actions or warning information, directly impacting the gondola environment and passengers. Specifically, the actuator 4 comprises an automatic ventilation vent regulating valve, a lighting device, and a voice announcer. The automatic ventilation vent regulating valve automatically adjusts the airflow within the gondola, eliminating the need for passengers to manually open windows. It automatically adapts the ventilation volume based on temperature and humidity, quickly alleviating stuffiness and dampness, and improving passenger comfort. The lighting device automatically turns on lights in low-light conditions, preventing accidents caused by poor visibility, while also reducing operating costs by eliminating the need for manual control. The voice announcer delivers key information and guides passenger behavior, enhancing passengers' right to know and their cooperation.

[0025] The communication module 5 is primarily responsible for data storage, bidirectional transmission, and fault feedback, enabling localized retention of gondola operation data and data synchronization with the cableway control center to meet the traceability requirements for safe operation. Specifically, the communication module includes a LoRa wireless transmission device and a local storage device. The local storage device stores the data received and control commands generated by the central control unit, while the LoRa wireless transmission device transmits this data to the cableway control center for data synchronization.

[0026] Preferably, based on space utilization, functional adaptability, ease of installation and maintenance, and passenger experience, the environmental perception module 2, the 3D structured light camera, the central control unit 1, the lighting device, the voice announcer, and the communication module 5 are integrated into a mounting box, which is fixed to the top of the gondola. The pressure sensor array is evenly distributed at the bottom of the gondola, and the automatic ventilation valve is installed at the ventilation opening of the gondola. This scientific layout maximizes the functionality of each module without affecting passenger experience, reduces system failure risks and maintenance costs, and provides reliable hardware support for the intelligent operation of the gondola system.

[0027] In one embodiment, the system operates as follows: After power is supplied, the gondola system enters the initialization phase, which involves performing a system self-test. The central control unit 1 checks the operational status (such as power supply status, communication connection, and function operation) of the environmental sensing module 2, the passenger monitoring module 3, and the actuators 4 to ensure normal hardware operation. If a module fault is detected, such as sensor communication interruption or actuator jamming, the fault module type and fault code are uploaded to the cableway control center in real time via a LoRa wireless transmission device for remote diagnosis and maintenance.

[0028] After the self-test is passed, the environmental perception module 2 and the passenger monitoring module 3 start synchronously, collecting environmental parameters, passenger numbers and total weight data in the gondola in real time to form a real-time data stream, which is then transmitted to the central control unit 1. After receiving the real-time data stream, the central control unit 1 reads the historical data stored in the local storage device, compares the real-time data stream with the historical data parameter by parameter, and calculates the data deviation value. If the deviation value exceeds the preset deviation threshold, the corresponding real-time data is marked as difference data and updated to the local storage device, overwriting the historical data. Then, the central control unit 1 performs logical analysis on the difference data, generates corresponding control commands according to the preset judgment threshold, and sends them to the actuator 4.

[0029] For example, the real-time data stream A received by the central control unit is a temperature of 26°C, humidity of 55%, and PM2.5 of 40. 7 people, 500kg; retrieve the most recently stored historical data B from local storage device: temperature 24℃, humidity 50%, PM2.5 40. The data included 6 people and a weight of 480 kg. However, during parameter comparison, discrepancies were identified because 26℃ does not equal 24℃, 55% humidity does not equal 50%, 7 people does not equal 1 person, and 560 kg does not equal 480 kg. PM2.540 was also considered a discrepancy. (A) = 40 (B) If both are the same, the determined difference items (temperature, humidity, number of people, weight) will be used as difference data C and written to the local storage device, directly overwriting the corresponding old data in the storage data B. The PM2.5 data in the storage data B will not be modified.

[0030] In other embodiments, when performing data comparison, a deviation threshold can be set. For example, a temperature and humidity difference ≤1℃ / 5%RH will not be considered a difference, thus avoiding frequent updates triggered by minor fluctuations.

[0031] This method of updating differentially rather than fully ensures that local storage always retains the latest state data, providing accurate data for subsequent analysis. Furthermore, it saves only changed data, avoiding redundant storage of unchanged parameters, thus saving storage space and improving read / write efficiency. Moreover, the differential data C serves as the core basis for triggering subsequent actuator actions, ensuring that the gondola system only responds to state changes and avoids invalid operations.

[0032] The central control unit 1 performs logical judgments on the discrepancies based on preset judgment thresholds. For example, the preset judgment thresholds include a first temperature and humidity judgment threshold, a second temperature and humidity judgment threshold, a PM2.5 concentration judgment threshold, a light intensity judgment threshold, a passenger number judgment threshold, and a passenger total weight judgment threshold.

[0033] When the temperature and humidity inside the gondola are lower than the first temperature and humidity threshold, a closing instruction is generated to the automatic ventilation valve, and a first voice instruction is generated to the voice broadcaster, such as "The current temperature and humidity inside the gondola are low, the ventilation has been closed, please keep warm." When the temperature and humidity inside the gondola are higher than the second temperature and humidity threshold, a full opening instruction is generated to the automatic ventilation valve, and a second voice instruction is generated to the voice broadcaster, such as "The current temperature and humidity inside the gondola are high, maximum ventilation has been turned on to relieve the stuffiness." When the temperature and humidity inside the gondola are between the first and second temperature and humidity thresholds, a half-open instruction is generated to the automatic ventilation valve, and a third voice instruction is generated to the voice broadcaster, such as "The current temperature and humidity inside the gondola are suitable, the ventilation is normally half-open, wishing you a comfortable ride."

[0034] When the PM2.5 concentration inside the gondola exceeds the PM2.5 concentration threshold, a fourth voice command is generated and sent to the voice broadcaster, such as "The current PM2.5 concentration inside the gondola is high. It is recommended that sensitive individuals wear masks and maintain ventilation."

[0035] When the light intensity inside the gondola is less than the light intensity judgment threshold, an opening instruction is generated for the lighting device, and a fifth voice instruction is generated for the voice broadcaster, such as "The light inside the gondola is currently dim, and the lighting has been automatically turned on. Please be careful and avoid bumping into things."

[0036] When the number of passengers in the gondola exceeds the passenger number threshold, a sixth voice command is generated and sent to the voice broadcaster, such as "The current number of passengers in the gondola has reached the rated limit. Please do not enter." When the total weight of the passengers in the gondola exceeds the total weight threshold, a seventh voice command is generated and sent to the voice broadcaster, such as "The current weight in the gondola has reached the safety limit. To ensure operational safety, please do not enter."

[0037] The intelligent sensing gondola system described in this application achieves real-time monitoring of environmental parameters, passenger numbers, and weight within the gondola through multi-module collaboration. Based on the monitoring data, it automatically executes adjustment actions and safety warnings to ensure operational safety and passenger experience. Furthermore, it locally stores historical data and enables remote data transmission via a LoRa wireless transmission device, facilitating data retrospective analysis and real-time monitoring for operators, thereby improving management efficiency.

[0038] Finally, it should be noted that the above embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The protection scope of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application. All should be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the protection scope of the claims.

Claims

1. A gondola system with intelligent sensing, characterized in that, The system includes a central control unit and an environmental sensing module, a passenger monitoring module, and an actuator connected to the central control unit. The environmental sensing module comprises a temperature and humidity sensor, a PM2.5 detector, and a light sensor. It collects data on the temperature and humidity inside the gondola using the temperature and humidity sensor, the PM2.5 concentration inside the gondola using the PM2.5 detector, and the light intensity inside the gondola using the light sensor. The collected data is then aggregated and transmitted to the central control unit. The passenger monitoring module comprises a 3D structured light camera and a pressure sensor array. It collects the number of passengers inside the gondola using the 3D structured light camera and the total weight of the passengers inside the gondola using the pressure sensor array. The collected data on the number of passengers and the total weight are then aggregated and transmitted to the central control unit. The central control unit compares the data transmitted by the environmental sensing module and the passenger monitoring module based on preset environmental parameters, passenger numbers, and total weight thresholds. It then generates control commands and sends them to the actuator. The actuator adjusts the environmental parameters or issues warnings based on the control commands sent by the central control unit.

2. The intelligent sensing-equipped gondola system according to claim 1, characterized in that, Also includes: The communication module includes a wireless transmission device and a local storage device, used to store the data received by the central control unit and the control commands generated by the central control unit through the local storage device, and to synchronize the data received by the central control unit and the control commands generated by the central control unit to the cableway control center through the wireless transmission device.

3. The intelligent sensing-equipped gondola system according to claim 2, characterized in that, The actuator consists of an automatic vent regulating valve, a lighting device, and a voice announcer. It is used to adjust the opening degree of the vent through the automatic vent regulating valve, adjust the brightness of the light through the lighting device, or play voice messages through the voice announcer according to the control commands sent by the central control unit.

4. The intelligent sensing-equipped gondola system according to claim 3, characterized in that, The environmental perception module, the 3D structured light camera, the central control unit, the lighting device, the voice broadcaster, and the communication module are integrated into a mounting box, which is fixed to the top of the hanging box.

5. The intelligent sensing-equipped gondola system according to claim 3, characterized in that, The pressure sensor array is evenly distributed at the bottom of the hoisting box; the automatic ventilation valve is installed at the ventilation opening of the hoisting box.

6. The intelligent sensing-equipped gondola system according to claim 3, characterized in that, The central control unit has preset judgment thresholds including a first temperature and humidity judgment threshold, a second temperature and humidity judgment threshold, a PM2.5 concentration judgment threshold, and a light intensity judgment threshold. Specifically, when the temperature and humidity inside the gondola are lower than the first temperature and humidity judgment threshold, the central control unit generates a shut-off command to the automatic ventilation valve and a first voice command to the voice announcer. When the temperature and humidity inside the gondola are higher than the second temperature and humidity judgment threshold, the central control unit generates a fully open command to the automatic ventilation valve and a second voice command to the voice announcer. When the temperature and humidity inside the gondola are between the first and second temperature and humidity judgment thresholds, the central control unit generates a partially open command to the automatic ventilation valve and a third voice command to the voice announcer. When the PM2.5 concentration inside the gondola is higher than the PM2.5 concentration judgment threshold, the central control unit generates a fourth voice command to the voice announcer. When the light intensity inside the gondola is lower than the light intensity judgment threshold, the central control unit generates an open command to the lighting device and a fifth voice command to the voice announcer.

7. The intelligent sensing-equipped gondola system according to claim 3, characterized in that, The preset judgment thresholds of the central control unit include a passenger number judgment threshold and a passenger total weight judgment threshold; wherein, when the number of passengers in the gondola exceeds the passenger number judgment threshold, the central control unit generates a sixth voice command to the voice broadcaster; when the total weight of passengers in the gondola exceeds the passenger total weight judgment threshold, the central control unit generates a seventh voice command to the voice broadcaster.