A roller coaster status monitoring and early warning system and method

Abstract

This invention discloses a roller coaster status monitoring and early warning system and method, relating to the Internet of Things (IoT) field of amusement facilities. The system includes a monitoring module, a site integrated data processing module, a cloud controller, and an early warning database. The monitoring module, the site integrated data processing module, and the cloud controller are connected sequentially. The early warning database is connected to the cloud controller. The monitoring module is used to monitor the roller coaster's parameters, including operating speed, operating acceleration, motor current, transmission system vibration, axial force of important bolts, and operating video. The site integrated data processing module is used to process the monitored parameters to obtain processing results. The cloud controller is used to compare the processing results with early warning thresholds in the early warning database to obtain early warning information and issue an early warning based on the early warning information. This invention can achieve real-time monitoring and early warning of roller coasters.

Description

Technical Field

[0001] This invention relates to the field of Internet of Things (IoT) for amusement facilities, and in particular to a roller coaster status monitoring and early warning system and method. Background Technology

[0002] Amusement rides are an important part of the cultural tourism industry and one of China's eight categories of special equipment, making their safety a major concern. Roller coasters are among the most popular amusement rides, with complex structures and diverse types. According to China's large-scale amusement ride safety supervision system, roller coasters require daily inspections and tests according to the equipment operation and maintenance manual, and annual inspections by nationally authorized inspection agencies. However, both daily inspections by the user and periodic inspections by the inspection agency rely on testing instruments at regular intervals, making real-time monitoring and the acquisition of crucial operational data impossible. With the development of China's digital economy and the maturity of IoT technology, and considering the importance of roller coaster safety, real-time monitoring of key operating parameters such as speed, acceleration, motor current, transmission system vibration, axial force of important bolts, stress of important components, temperature of important bearings, and hydraulic oil temperature is essential. Setting early warning systems based on real-time monitoring data is also crucial for the safe operation of roller coaster equipment and the safe enjoyment of passengers. Summary of the Invention

[0003] The purpose of this invention is to provide a roller coaster status monitoring and early warning system and method, which can realize real-time monitoring and early warning of roller coasters.

[0004] To achieve the above objectives, the present invention provides the following solution:

[0005] A roller coaster status monitoring and early warning system includes: a monitoring module, a site integrated data processing module, a cloud controller, and an early warning database;

[0006] The monitoring module, the site integrated data processing module, and the cloud controller are connected in sequence; the early warning database is connected to the cloud controller; the monitoring module is used to monitor the roller coaster's monitoring parameters; the monitoring parameters include running speed, running acceleration, motor current, transmission system vibration, axial force of important bolts, and running video; the site integrated data processing module is used to process the monitoring parameters to obtain processing results; the cloud controller is used to compare the processing results with the early warning thresholds in the early warning database to obtain early warning information and issue early warnings based on the early warning information.

[0007] Optionally, the monitoring module includes an operating speed monitoring module, an operating acceleration monitoring module, a motor current monitoring module, a transmission system vibration monitoring module, an important bolt axial force monitoring module, and an operating video monitoring module; the operating speed monitoring module, the operating acceleration monitoring module, the motor current monitoring module, the transmission system vibration monitoring module, the important bolt axial force monitoring module, and the operating video monitoring module are all connected to the site integrated data processing module.

[0008] Optionally, it also includes a site integrated data transmission module; the site integrated data transmission module is connected to the site integrated data processing module and the cloud controller respectively.

[0009] Optionally, it also includes a cloud data transmission module; the site integrated data transmission module is connected to the cloud controller through the cloud data transmission module.

[0010] Optionally, it also includes a human-computer interaction module; the human-computer interaction module is connected to the cloud controller; the human-computer interaction module is used to display the monitoring data and the early warning information.

[0011] Optionally, the human-computer interaction module includes a computer terminal, a mobile phone terminal, and a large screen terminal.

[0012] Optionally, it also includes a cloud storage device; the cloud storage device is connected to the cloud controller; the cloud storage device is used to store the monitoring data and the early warning information.

[0013] This invention also provides a roller coaster status monitoring and early warning method, which is applied to the roller coaster status monitoring and early warning system described above; the roller coaster status monitoring and early warning method includes:

[0014] Obtain the processing results of the monitored data;

[0015] The warning information is determined by comparing the processing result with the warning threshold.

[0016] A warning will be issued based on the aforementioned warning information.

[0017] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0018] This invention includes: a monitoring module, a site integrated data processing module, a cloud controller, and an early warning database; the monitoring module, the site integrated data processing module, and the cloud controller are connected sequentially; the early warning database is connected to the cloud controller; the monitoring module is used to monitor the parameters of the roller coaster; the monitored parameters include running speed, running acceleration, motor current, transmission system vibration, axial force of important bolts, and running video; the site integrated data processing module is used to process the monitored parameters to obtain processing results; the cloud controller is used to compare the processing results with the early warning thresholds in the early warning database to obtain early warning information and issue early warnings based on the early warning information, thereby realizing real-time monitoring and early warning of the roller coaster. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the roller coaster status monitoring and early warning system of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] The purpose of this invention is to provide a roller coaster status monitoring and early warning system and method, which can realize real-time monitoring and early warning of roller coasters.

[0023] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0024] like Figure 1 As shown, the present invention provides a roller coaster status monitoring and early warning system, comprising: a monitoring module, a site integrated data processing module, a cloud controller, and an early warning database.

[0025] The monitoring module, the site integrated data processing module, and the cloud controller are connected in sequence; the early warning database is connected to the cloud controller; the monitoring module is used to monitor the roller coaster's monitoring parameters; the monitoring parameters include running speed, running acceleration, motor current, transmission system vibration, axial force of important bolts, and running video; the site integrated data processing module is used to process the monitoring parameters to obtain processing results; the cloud controller is used to compare the processing results with the early warning thresholds in the early warning database to obtain early warning information and issue early warnings based on the early warning information.

[0026] The monitoring module includes an operating speed monitoring module, an operating acceleration monitoring module, a motor current monitoring module, a transmission system vibration monitoring module, an important bolt axial force monitoring module, and an operating video monitoring module; the operating speed monitoring module, the operating acceleration monitoring module, the motor current monitoring module, the transmission system vibration monitoring module, the important bolt axial force monitoring module, and the operating video monitoring module are all connected to the site's integrated data processing module.

[0027] The roller coaster status monitoring and early warning system also includes a site integrated data transmission module; the site integrated data transmission module is connected to the site integrated data processing module and the cloud controller respectively.

[0028] The roller coaster status monitoring and early warning system also includes a cloud data transmission module; the station integrated data transmission module is connected to the cloud controller through the cloud data transmission module.

[0029] The roller coaster status monitoring and early warning system also includes a human-computer interaction module; the human-computer interaction module is connected to the cloud controller; the human-computer interaction module is used to display the monitored data and the early warning information. The human-computer interaction module includes a computer terminal, a mobile phone terminal, and a large screen terminal.

[0030] The roller coaster status monitoring and early warning system also includes a cloud storage device; the cloud storage device is connected to the cloud controller; the cloud storage device is used to store the monitoring data and the early warning information.

[0031] The operating speed monitoring module includes a photoelectric sensor group 1, a speed data acquisition terminal 1, and a speed data transmission module 1; photoelectric sensor group 2, a speed data acquisition terminal 2, and a speed data transmission module 2; photoelectric sensor group 3, a speed data acquisition terminal 3, and a speed data transmission module 3. The operating acceleration monitoring module includes a vehicle body acceleration sensor, an acceleration data acquisition terminal, and an acceleration data transmission module. The motor current monitoring module includes a current transformer, a current data acquisition terminal, and a current data transmission module. The transmission system vibration monitoring module includes a vibration sensor, a vibration data acquisition terminal, and a vibration data acquisition module. The important bolt axial force monitoring module includes an ultrasonic probe, a bolt axial force data acquisition terminal, and a bolt axial force data transmission module. The operating video monitoring module includes a monitoring camera, a video acquisition terminal, and an audio / video data transmission module. The human-machine interaction module includes a computer terminal and a mobile phone terminal. On the large screen terminal, the running speed monitoring data is transmitted to the station integrated data processing module for data processing via the speed data transmission modules 1, 2, and 3. The running acceleration monitoring data, motor current monitoring data, transmission system vibration monitoring data, important bolt axial force monitoring data, and running video are transmitted to the station integrated data processing module for data processing via the acceleration data transmission module, current data transmission module, vibration data transmission module, bolt axial force data transmission module, and audio / video data transmission module, respectively. After data processing, the station integrated data transmission module transmits the data to the cloud data transmission module, and then to the cloud controller. After comparison with expert data in the early warning database, it is determined whether to issue an early warning. The monitoring data and early warning information are displayed by the human-machine interaction module and stored in the cloud storage.

[0032] The photoelectric sensor group 1 includes two mirror-reflective photoelectric sensors, model QS18VN6LV, installed one in front of the other at the exit position of the roller coaster, approximately 100mm apart. They monitor the exit speed of the roller coaster by detecting the time difference in the travel of the roller coaster's body, and simultaneously serve as the roller coaster's start signal. The two collected electrical signals are input to the speed acquisition terminal 1 and transmitted to the cloud via the speed data transmission module 1. The photoelectric sensor group 2 also includes two mirror-reflective photoelectric sensors, model QS18VN6LV, installed one in front of the other at the end of the first dive phase after the roller coaster's ascent or launch, approximately 100mm apart. They monitor the maximum speed of the roller coaster by detecting the time difference in the travel of the roller coaster's body. The two collected electrical signals are input to the speed acquisition terminal 2 and transmitted to the cloud via the speed data transmission module 1. Speed ​​data transmission module 2 transmits data to the cloud; the photoelectric sensor group 3 includes two mirror-reflective photoelectric sensors, model QS18VN6LV, installed one in front of the other in front of the first deceleration and braking device of the roller coaster, with a distance of about 100mm between them. The return speed of the roller coaster is monitored by detecting the time difference of the roller coaster body passing through. The two collected electrical signals enter the speed acquisition terminal 3 and are transmitted to the cloud via the speed data transmission module 3, and also serve as the stop signal of the roller coaster; the running time of the roller coaster is monitored and the number of runs is calculated by the time difference between the start signal and the stop signal; the speed data acquisition terminal 1, speed data acquisition terminal 2, and speed data acquisition terminal 3 function as digital signal input; the speed data transmission module 1, speed data transmission module 2, and speed data transmission module 3 are routers.

[0033] The accelerometer sensor, model BMI160, is integrated with the accelerometer data acquisition terminal and is installed on the seat frame of the roller coaster. It is used to collect the three-dimensional acceleration signals of the roller coaster. The collected acceleration data is transmitted to the cloud via the acceleration data transmission module, which is a WIFI module.

[0034] There are two current transformers, model DSG-KT8, which are installed at the main circuit breaker and the main motor circuit breaker of the roller coaster control cabinet, respectively, to monitor the total current and the main motor current of the roller coaster. The collected current data is transmitted to the cloud via the current data transmission module. The current data acquisition terminal is for analog signal input, and the current data transmission module is a router.

[0035] The vibration sensor is installed in the roller coaster's lifting drive system to monitor the vibration signal of the roller coaster's lifting drive system. The collected vibration data is transmitted to the cloud via the vibration data transmission module. The vibration data acquisition terminal is for analog signal input, and the vibration data transmission module is a router.

[0036] The ultrasonic probe is installed at high-strength bolts at important operating positions such as the maximum speed point, the vertical ring, and the spiral ring to monitor the preload of the high-strength bolts. The collected high-strength bolt axial force data is output to the cloud via the bolt axial force data transmission module. The bolt axial force data acquisition terminal functions as an analog signal input, and the bolt axial force data transmission module is a router.

[0037] The surveillance camera and the audio / video data acquisition terminal are integrated with each other. The model is DS-2CD2626F(D)WDA3-LZS. They are installed in important operating sections such as the platform, lifting section, and vertical loop, and are used to collect the operating video signals of the roller coaster. The collected video signals are transmitted to the cloud via the audio / video data transmission module, which is a router.

[0038] The controller of the site integrated data processing module is an ARM-based microcontroller, which is used to process, classify, and package the data of various monitoring quantities.

[0039] The early warning database is an expert database, including unidirectional early warning thresholds and comprehensive early warning thresholds for operating speed, operating acceleration, motor current, transmission system vibration, and axial force of important bolts, as shown in Table 1.

[0040] Table 1. Roller Coaster Status Monitoring and Early Warning Thresholds

[0041]

[0042]

[0043] The cloud controller compares each monitoring data with the one-way warning threshold and the comprehensive warning threshold in the warning database. Once the monitoring data exceeds the one-way warning threshold or the comprehensive warning threshold, an alarm is triggered through the human-computer interaction module. At the same time, each monitoring data is displayed through the human-computer interaction module, and the monitoring data and alarm information are stored in the cloud storage.

[0044] Its working principle is as follows:

[0045] (1) After the roller coaster starts running, when the car passes the first specular reflective photoelectric sensor in photoelectric sensor group 1, the speed data acquisition terminal 1 receives a pulse signal, which is transmitted to the station integrated data processing module through the speed data transmission module 1, and the time is recorded as t1. When the car passes the second specular reflective photoelectric sensor, the speed data acquisition terminal 1 receives a second pulse signal, which is transmitted to the station integrated data processing module through the speed data transmission module 1, and the time is recorded as t2. The station integrated data processing module calculates the station speed Ve based on the installation distance between the two specular reflective photoelectric sensors in photoelectric sensor group 1 and the time difference between t2 and t1. t1 is recorded as the start time of the roller coaster. Similarly, when the car passes the first specular reflective photoelectric sensor in photoelectric sensor group 2, the speed data acquisition terminal 2 receives a pulse signal, which is transmitted to the station integrated data processing module through the speed data transmission module 2, and the time is recorded as t3. When the car passes the second specular reflective photoelectric sensor, the speed data acquisition terminal 2 receives a second pulse signal, which is transmitted to the station integrated data processing module through the speed data transmission module 2, and the time is recorded as t3. The speed data transmission module 2 transmits data to the station integrated data processing module, recording time t4. The station integrated data processing module calculates the maximum speed Vm based on the installation distance between the two specular reflective photoelectric sensors in photoelectric sensor group 2 and the time difference between t4 and t3. When the car passes the first specular reflective photoelectric sensor in photoelectric sensor group 3, the speed data acquisition terminal 3 receives a pulse signal, which is transmitted to the station integrated data processing module through the speed data transmission module 3, recording time t5. When the car passes the second specular reflective photoelectric sensor, the speed data acquisition terminal 3 receives a second pulse signal, which is transmitted to the station integrated data processing module through the speed data transmission module 3, recording time t6. The station integrated data processing module calculates the return speed Vr based on the installation distance between the two specular reflective photoelectric sensors in photoelectric sensor group 3 and the time difference between t6 and t5. t6 is recorded as the stopping time of the roller coaster. The station integrated data processing module calculates the time difference between t6 and t1 as the running time of the roller coaster and records it as one running cycle.

[0046] (2) The vehicle acceleration sensor generates acceleration signals as the roller coaster runs. After the acceleration data acquisition terminal collects the acceleration signals, it transmits them to the station integrated data processing module through the acceleration data transmission module. The station integrated data processing module performs low-pass filtering on the acceleration signals to obtain the X-axis acceleration Ax, Y-axis acceleration Ay, and Z-axis acceleration Az.

[0047] (3) The current transformer monitors the total current and main motor current of the roller coaster. The current data acquisition terminal collects the current signal and converts it into a digital signal, which is then transmitted to the station's integrated data processing module through the current data transmission module.

[0048] (4) Vibration sensors monitor the vibration signals of the roller coaster's lifting drive system. The vibration data acquisition terminal collects the vibration signals and converts them into digital signals. The signals are then transmitted to the site's integrated data processing module via the vibration data transmission module. The site's integrated data processing module calculates the vibration signals to obtain the effective acceleration value Aev.

[0049] (5) The ultrasonic probe monitors the preload of high-strength bolts at important locations. The bolt axial force data acquisition terminal collects the tension signal and converts it into a digital signal, which is then transmitted to the site integrated data processing module through the bolt axial force data transmission module.

[0050] (6) The surveillance camera monitors the important operating sections of the roller coaster, and the audio and video data acquisition terminal collects the audio and video signals and transmits them to the site integrated data processing module through the audio and video data transmission module.

[0051] (7) The site integrated data processing module classifies and packages the processed monitoring data and transmits it to the cloud data transmission module through the site integrated data transmission module, and then to the cloud controller.

[0052] (8) The cloud controller compares each monitoring data with the one-way warning threshold and the comprehensive warning threshold in the warning database. Once the monitoring data exceeds the one-way warning threshold or the comprehensive warning threshold, an alarm is triggered through the human-machine interaction module. At the same time, each monitoring data is displayed through the human-machine interaction module. The monitoring data and warning information are stored in the cloud storage.

[0053] This invention also provides a roller coaster status monitoring and early warning method, which is applied to the roller coaster status monitoring and early warning system described above; the roller coaster status monitoring and early warning method includes:

[0054] Obtain the processing results of the monitored data.

[0055] The warning information is determined by comparing the processing result with the warning threshold.

[0056] A warning will be issued based on the aforementioned warning information.

[0057] In this invention, the monitoring system adopts distributed control, and the early warning system uses an expert database, which has high reliability and good flexibility, and can better realize real-time monitoring and early warning of roller coasters.

[0058] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0059] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A roller coaster status monitoring and warning system, characterized in that, The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information.

2. The roller coaster status monitoring and warning system of claim 1, wherein, The roller coaster state monitoring and early warning method comprises the following steps:

3. The roller coaster status monitoring and warning system of claim 2, wherein, monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information.

4. The roller coaster status monitoring and warning system of claim 1, wherein, The roller coaster state monitoring and early warning method comprises the following steps:

5. The roller coaster status monitoring and warning system of claim 4, wherein, monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information.

6. The roller coaster status monitoring and warning system of claim 1, wherein, The roller coaster state monitoring and early warning method comprises the following steps:

7. A roller coaster status monitoring and early warning method, characterized in that, monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The roller coaster state monitoring and early warning method comprises the following steps: monitoring the monitoring quantity of the roller coaster; the monitoring quantity comprises running speed, running acceleration, motor current, transmission system vibration, important bolt axial force and running video; processing the monitoring quantity to obtain a processing result; comparing the processing result with a pre-warning threshold in a pre-warning database to obtain pre-warning information; and pre-warning according to the pre-warning information. The

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