Roller coaster safety monitoring and early warning method and device

Abstract

The application discloses a roller coaster safety monitoring and early warning method and device, the method comprising: predicting the highest speed value of the sliding stage in the lifting stage to determine whether the roller coaster continues to run; extracting the multi-class characteristic value of the lifting stage, comparing the 3 / 4 value and the median value of each class of characteristic value with the normal range threshold, and determining whether to overhaul and early warning according to the comparison result; comparing the predicted highest speed value with the actual highest speed value of the sliding stage, and if the deviation value in the continuous three running periods is greater than the preset threshold, a model optimization warning is issued; real-time extraction of the multi-class characteristic value of the sliding stage, comparison of the two related characteristic values with the set normal range threshold at the same time, and determination of whether to overhaul and early warning according to the comparison result. Through the prediction of the highest speed value of the sliding stage, the safety speed range can be avoided in the sliding stage, and the risk can be controlled in time. By comparing the historical operation data, potential safety risks can be found.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of amusement facility safety control, in particular, relates to a roller coaster safety monitoring and early warning method and device. BACKGROUND

[0002] Roller coasters belong to large thrilling amusement facilities. Large amusement facilities have the characteristics of high social attention and low safety risk tolerance. Once a safety problem occurs, the consequences are very serious, so the safety risk requirements for large amusement facilities are very strict.

[0003] At present, the safety monitoring of roller coasters is usually safety inspection of roller coasters in a shutdown state, such as security checks before operation, weekly inspections, monthly inspections, quarterly inspections, annual inspections, etc. The longer the cycle, the more inspection items. For example, regular inspection or replacement of important parts. The monitoring during operation mainly relies on sensors, such as acceleration sensors of roller coasters, speed sensors of traction motors, etc., which monitor the operation of roller coasters through sensor monitoring data.

[0004] However, only through sensors to monitor the operation of the roller coaster, the monitoring means is single, and the obtained roller coaster characteristic data is limited. The applicant found that after the roller coaster is normally operated, a large amount of historical operation data will be obtained, but the historical data is not utilized to monitor the operation of the roller coaster at present, therefore, how to utilize the historical operation data of the roller coaster for state monitoring and early warning is a problem to be solved. SUMMARY

[0005] In order to effectively utilize the historical data of the roller coaster to monitor the operation of the roller coaster, the present application provides a roller coaster safety monitoring and early warning method, comprising the following steps:

[0006] A roller coaster safety monitoring and early warning method, comprising the following steps:

[0007] Real-time extraction of multiple types of characteristic values in the lifting stage, each type of characteristic value at least including 3 / 4 value and median value in the operation cycle, the multiple types of characteristic values in the lifting stage including at least one of lifting current, lifting speed and lifting process vibration,

[0008] For each type of characteristic value, compare the 3 / 4 value and the median value of each type of characteristic value with the first normal range threshold (min1-max1) corresponding to the 3 / 4 value and the median value of the type of characteristic value, and determine whether to issue a maintenance warning according to the comparison result;

[0009] In the deceleration section in the lift phase of the roller coaster operation, the predicted maximum speed value in the coasting phase is predicted by the prediction model, if the predicted maximum speed value exceeds the safe speed range of the roller coaster, the roller coaster is controlled to stop running, if the predicted maximum speed value does not exceed the safe speed range of the roller coaster, the roller coaster continues to run;

[0010] In the coasting phase of the roller coaster operation, an actual maximum speed value is obtained, the predicted maximum speed value is compared with the actual maximum speed value, and a deviation value is recorded, if the deviation value in the last 3 running cycles is greater than a preset threshold value, a warning of optimization of the prediction model is issued, and the prediction model is reconstructed by using the data of multiple new running cycles;

[0011] Real-time extraction of multiple characteristic values in the coasting phase, comparison of two characteristic values with the set second normal range threshold (min2-max2), and determination of whether to issue a maintenance warning according to the comparison result, the multiple characteristic values in the coasting phase include acceleration time, maximum speed, entry speed and coasting time.

[0012] Optionally, it also includes:

[0013] Every preset cycle limit, the maximum, average and minimum of the 3 / 4 value and the median value of each type of characteristic value in each running cycle are calculated, and the maximum, average and minimum of the 3 / 4 value and the median value of each type of characteristic value in each running cycle in the historical normal running cycle data are compared, when the deviation of one characteristic value exceeds 5%, a maintenance warning is given.

[0014] Optionally, the prediction model is as follows:

[0015] The predicted maximum speed value Vmax=a11*lift current+a12*lift speed+a13*total cycle number+a14*rider number+b11

[0016] Wherein, a11, a12, a13, a14 and b11 are regression parameters, which are estimated by using multiple linear regression on the data of multiple normal running cycles of the roller coaster.

[0017] Optionally, the comparison of the 3 / 4 value and the median value of each type of characteristic value with the set first normal range threshold (min1-max1) of the 3 / 4 value and the median value of the type of characteristic value, and the determination of whether to issue a maintenance warning according to the comparison result, includes:

[0018] For each type of characteristic value, when one of the 3 / 4 value and the median value is within the range of (min1-max1), and the other is within the range of (0.9min1-1.1max1), it is normal,

[0019] If the 3 / 4 value and the median value both satisfy (0.9-1)*min1 or (1.0-1.1)*max1, a maintenance warning is given,

[0020] If at least one of the 3 / 4 value and the median value is out of the range of (0.9min1-1.1max1), a maintenance warning is given.

[0021] Optionally, the first normal range threshold (min1-max1) and the second normal range threshold (min2-max2) are determined by counting the historical normal operation period data of the roller coaster and using the maximum value and the minimum value of various characteristic values.

[0022] Optionally, an association information table is established between the information of different positions of the roller coaster on the track and the historical position information. In the process of operation of the roller coaster, real-time position data of the roller coaster is obtained by a position detector, the real-time position data including real-time position information and real-time time information of the roller coaster. The real-time position information is compared with the historical position information to find the corresponding position data of the roller coaster of the real-time position information, so that the one-to-one correspondence between the position information of the roller coaster and the real-time time information is obtained, and the average speed of any interval is calculated, and the maximum average speed is taken as the actual maximum speed value of the coasting phase.

[0023] Optionally, the two types of characteristic values having the correlation are that the acceleration time has the correlation with the maximum speed, and the entry speed has the correlation with the coasting time.

[0024] The two types of characteristic values having the correlation are compared with the set second normal range threshold (min2-max2) at the same time, and whether to give a maintenance warning is determined according to the comparison result, including:

[0025] When at least one of the two types of characteristic values is within the range of (min2-max2) and the other is within the range of (0.9min2-1.1max2), it indicates normality.

[0026] When both of the two types of characteristic values satisfy (0.9-1)*min2 or (1.0-1.1)*max2, a maintenance warning is given.

[0027] If at least one of the two types of characteristic values is out of the range of (0.9min2-1.1max2), a maintenance warning is given.

[0028] Optionally, the deviation of the one characteristic value exceeding 5% means that the maximum value, the average value and the minimum value of the 3 / 4 value and the median value of the characteristic value exceed 5%.

[0029] Optionally, in the running lifting phase of the roller coaster, the traction motor lifts the roller coaster according to a speed setting curve, and the speed setting curve comprises a low-speed climbing section, a speed-up section, a high-speed running section, a speed-down section, and a low-speed climbing section.

[0030] The application also provides an electronic device comprising:

[0031] at least one processor; and

[0032] a memory in communication with the at least one processor; wherein

[0033] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to cause the at least one processor to perform the roller coaster safety monitoring and warning method as described above.

[0034] The application has the following beneficial effects:

[0035] (1) The historical data of the roller coaster are fully utilized in combination with the multiple linear regression method to establish a prediction model, and the model can be used to predict the running state data of the roller coaster for monitoring.

[0036] (2) Unlike the past simple monitoring of amusement facilities through sensor data, the characteristic values of the lifting phase and the sliding phase of the roller coaster are selected to monitor the running state of the roller coaster, the range threshold of the normal running of the roller coaster is determined by using the historical data, and it is determined whether to issue a warning, which can effectively utilize the historical data of the roller coaster to monitor the running state of the roller coaster, improve the safety of the roller coaster running, find potential safety risks, and check the relevant structure in time after the warning.

[0037] (3) The highest speed value in the sliding phase is predicted by the model, which can avoid exceeding the safe speed range in the sliding phase and timely control the risk.

[0038] (4) The predicted highest speed value in the sliding phase is compared with the actual highest speed value to determine whether to optimize the model and issue a warning, so that the optimized prediction model is updated in time in the case that the model prediction data exceeds the error.

[0039] (5) The pose data in the running process of the roller coaster are obtained, the specific position information of the track corresponding to the pose data is obtained through analysis of the pose data, and then the roller coaster related characteristic values are calculated and obtained. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1 The flowchart of the roller coaster safety monitoring and warning method described in the embodiments of the application.

[0041] Figure 2 The timing diagram of the roller coaster lifting described in the embodiments of the application.

[0042] Figure 3 The coasting time-speed curve described in the embodiments of the present application. DETAILED DESCRIPTION

[0043] The technical solutions of the present application will be described clearly and completely below with reference to the drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0044] Hereinafter, one running cycle of the roller coaster refers to the process from the departure to the arrival of the roller coaster.

[0045] The roller coaster safety monitoring and early warning method of the present embodiment comprises the following steps:

[0046] Step S1, the abnormality detection of the lifting state is the first step of the roller coaster state detection. In this stage, the abnormality is found, which can effectively prevent the problem from being enlarged in the coasting stage and ensure the safety of personnel and equipment. Therefore, in step S1, the multiple types of characteristic values in the lifting stage are extracted in real time, and each type of characteristic value at least includes the 3 / 4 value and the median value in the running cycle. For example, for the lifting current, the 3 / 4 value of the lifting current corresponds to the data in the speed setting curve in the acceleration stage, the median represents the data in the high-speed running stage, and the minimum value corresponds to the crawling value.

[0047] For each type of characteristic value, the 3 / 4 value and the median value of each type of characteristic value are compared with the first normal range threshold (min1-max1) set for the 3 / 4 value and the median value of the type of characteristic value. For each type of characteristic value, when one of the 3 / 4 value and the median value is between (min1-max1) and the other is in the range of (0.9min1-1.1max1), it indicates normal, when the 3 / 4 value and the median value both satisfy (0.9-1)*min1 or (1.0-1.1)*max1, the maintenance warning is performed, and if at least one of the 3 / 4 value and the median value is out of the range of (0.9min1-1.1max1), the maintenance warning is performed.

[0048] For example, the 3 / 4 value and median value of the lifting speed in a running cycle are compared with the first normal range threshold (min1-max1) of the 3 / 4 value and median value of the lifting speed. When both the 3 / 4 value and the median value are between (min1-max1), or one of the 3 / 4 value and the median value is within (0.9-1)*min1 or (1.0-1.1)*max1, and the other is within (min1-max1), it indicates normal, and the roller coaster continues to run. When the 3 / 4 value meets (0.9-1)*min1 or (1.0-1.1)*max1, and the median value also meets (0.9-1)*min1 or (1.0-1.1)*max1, a maintenance warning is given. If at least one is out of the range (0.9min1-1.1max1), a maintenance warning is given. Wherein, min1 is the lower limit of the range, and max1 is the upper limit of the range.

[0049] The first normal range threshold (min1-max1) is determined by counting the data of the lifting stage of the roller coaster in multiple normal running cycles, and calculating the maximum and minimum values of various characteristic values.

[0050] The historical running data of the lifting stage includes

[0051] The maximum and minimum values of the 3 / 4 value and the median of the lifting current. The lifting current of the lifting motor can be read through the PROFIBUS-DP (communication between device-level control system and distributed I / O) network;

[0052] The maximum and minimum values of the 3 / 4 value and the median of the lifting speed. The lifting speed can be measured by a pulse encoder;

[0053] The maximum and minimum values of the 3 / 4 value and the median of the vibration during the lifting process. The vibration value of the motor during lifting can be measured by a vibration sensor installed on the lifting motor;

[0054] And the maximum and minimum values of the lifting time.

[0055] For example, the 3 / 4 value and median value of the lifting time in the past 500 normal running cycles are counted. For the 3 / 4 value of the lifting time counted in 500 cycles, the maximum value and the minimum value can be found therefrom, as the first normal range threshold (min1-max1) of the 3 / 4 value of the lifting time. For the median value of the lifting time counted in 500 cycles, the maximum value and the minimum value can also be found therefrom, as the first normal range threshold (min1-max1) of the median value of the lifting time.

[0056] Step S2, in the deceleration section in the lifting phase of the roller coaster operation, the predicted maximum speed value Vmax of the sliding phase is obtained through the prediction model, if the predicted maximum speed value Vmax exceeds the safe speed range of the roller coaster, a warning is given and the roller coaster is controlled to stop running, passengers can get off from the nearby life-saving stairs, if the predicted maximum speed value Vmax does not exceed the safe speed range of the roller coaster, the roller coaster continues to run.

[0057] Wherein, the roller coaster operation includes a lifting phase and a sliding phase, the lifting phase refers to the stage from the station to the highest point, usually the time of the lifting phase is about 10-50 seconds, the lifting is realized by the traction motor through the traction chain, after receiving the lifting instruction, the frequency converter controls the speed of the traction motor according to the set speed setting curve, so as to lift the roller coaster. The general speed setting curve is as shown in the figure, wherein t is the lifting phase time, A is the lifting current, V is the speed of the roller coaster, including the low-speed climbing section, the speed-up section, the high-speed running section, the deceleration section and the low-speed climbing section, such speed change process. The sliding phase refers to the stage from the highest point to the station after the roller coaster is separated from the traction chain. Figure 2

[0058] Wherein, the prediction model uses the data of the lifting phase of the roller coaster as input and the maximum speed in the sliding phase as output, and uses multiple linear regression to establish the prediction model, which can predict the state (predicted maximum speed value Vmax) of the sliding phase in the lifting phase of the roller coaster, and give a timely warning if the predicted result exceeds the safe range.

[0059] The establishment of the prediction model can use the data of multiple normal operation cycles of the roller coaster, and the multiple linear regression method is used for modeling, and the prediction model is as follows:

[0060] Predicted maximum speed value Vmax=a11*lifting current+a12*lifting speed+a13*total cycle number+a14*number of passengers+b11

[0061] Wherein, a11, a12, a13, a14, b11 are regression parameters, which can be estimated and determined by the data of multiple normal operation cycles of the roller coaster. In order to further optimize the regression parameters, the device is run for 500 cycles every time, and the parameter optimization is carried out once, so as to improve the prediction accuracy of the system.

[0062] ​Step S3, obtaining the actual maximum speed value in the coasting phase of the roller coaster operation, comparing the predicted maximum speed value Vmax with the actual maximum speed value, and recording the deviation value delt; if the deviation value delt in the last 3 operation cycles is greater than the preset threshold value (for example, 5% to 10%), a warning of the prediction model to be optimized is issued, the deviation alarm indicates that there is a large change in the acceleration section track or the roller coaster state, which needs to be checked, and because there is a large change in the acceleration section track or the roller coaster state, the prediction model established by using the old historical operation data cannot be accurately predicted, so the new operation cycle data can be used to rebuild the prediction model.

[0063] Wherein, after the roller coaster is built, the track of the roller coaster is fixed, and the posture of the roller coaster at different positions on the track is also fixed, so the historical posture information of the roller coaster at different positions on the track can be collected in advance, the different position information and the historical posture information are used to establish an association information table, then the real-time posture data of the roller coaster is obtained by the posture detector during the operation of the roller coaster, the real-time posture data includes real-time posture information and real-time time information, and then the real-time posture information is compared with the historical posture information, so as to determine the roller coaster position data corresponding to the real-time posture information according to the association information table, thereby obtaining the one-to-one correspondence between the roller coaster position information and the real-time time information.

[0064] Combining the position information with the time information, the average speed of any interval can be calculated in real time. For example, the average speed of the roller coaster between position A1 and position A2 is obtained by dividing the distance between position A1 and position A2 by the travel time of the roller coaster in the distance. The coasting phase can be divided into multiple position intervals, and the average speed is calculated respectively, and the maximum average speed is taken as the actual maximum speed value of the coasting phase.

[0065] Step S4, real-time extraction of multiple feature values of the coasting phase, for example, 3 / 4 values can be extracted, the feature values reflecting the change of the coasting state are correlated, such as acceleration time and maximum speed, entry speed and coasting time, two types of feature values with correlation are compared with the set second normal range threshold value (min2-max2) at the same time, when one of the two types of feature values is between (min2-max2) and the other is in the range of (0.9min2-1.1max2), it indicates normal, when both types of feature values satisfy (0.9-1)*min2 or (1.0-1.1)*max2, a maintenance warning is given, if one of the two types of feature values is out of the range of (0.9min2-1.1max2), a maintenance warning is given. Wherein, min2 is the lower limit of the range, and max2 is the upper limit of the range.

[0066] For example, in terms of the acceleration time and the maximum speed, when the acceleration time and the maximum speed are both within (min2-max2), or one of the acceleration time and the maximum speed is within (0.9-1)*min2 or (1.0-1.1)*max2, and the other is within (min2-max2), it is normal, and the roller coaster continues to run. When the acceleration time satisfies (0.9-1)*min2 or (1.0-1.1)*max2, and the maximum speed also satisfies (0.9-1)*min2 or (1.0-1.1)*max2, a maintenance warning is given. If at least one of the acceleration time and the maximum speed is out of the range of (0.9-1)*min2 or (1.0-1.1)*max2, a maintenance warning is given.

[0067] Similarly, the entry speed and the coasting time also have a correlation, and the comparison method with the historical data is the same as that of the acceleration time and the maximum speed, and is not described in detail here.

[0068] The second normal range threshold (min2-max2) is determined by statistically analyzing the coasting stage data of a plurality of roller coasters in a normal running period, and calculating the maximum value and the minimum value of each type of characteristic value.

[0069] The characteristics of the roller coaster coasting state include the acceleration time, the maximum speed, the coasting time, and the entry speed, which should all be within a certain range in a normal state. Specifically, if the speed is too high, an overspeed danger occurs, and if the speed is too low, a midway parking accident occurs.

[0070] The historical running data of the coasting stage includes:

[0071] The maximum value and the minimum value of the acceleration time, which is the time for the roller coaster to slide from the highest point to the lowest point, reflecting the state of the acceleration section track and the roller coaster;

[0072] The maximum value and the minimum value of the maximum speed, which is the highest speed value obtained in the coasting stage, reflecting the state of the acceleration section track and the roller coaster;

[0073] The maximum and minimum of the entering speed. The entering speed refers to the speed of the roller coaster when entering the station in the last stage of free sliding of the roller coaster. In combination with the maximum speed of the roller coaster, the state of the track or the roller coaster can be determined. The entering speed can also be used to collect historical position information of the roller coaster at different positions on the track in advance. An association information table is established between the different position information and the historical position information. Then, real-time position data of the roller coaster is obtained by the position detector during the operation of the roller coaster. The real-time position data includes real-time position information and real-time time information of the roller coaster. Then, the real-time position information is compared with the historical position information, so as to determine the position data of the roller coaster corresponding to the real-time position information according to the association information table, thereby obtaining one-to-one correspondence between the position information of the roller coaster and the real-time time information,

[0074] The position information and the time information are combined, so that the average speed of any interval can be calculated in real time, and the entering speed can be obtained.

[0075] The maximum and minimum of the sliding time. The sliding time refers to the time from the start of sliding of the roller coaster to the entering of the station. In combination with the acceleration time, the state of the track or the roller coaster can be determined. The sliding time and the acceleration time can be determined according to the speed value calculated in the foregoing. Figure 3 In the foregoing, the time T1 corresponding to the maximum speed value is the acceleration time, and the time corresponding to the entering speed is the sliding time T2.

[0076] For example, the sliding time of 500 normal operation cycles in the past is counted, and the maximum and minimum are found therefrom as the second normal range threshold (min2-max2) of the characteristic value sliding time.

[0077] In step S5, the device counts and calculates the relevant characteristic values every preset cycle limit value, for example, 100 cycles, and calculates the maximum, average and minimum of the 3 / 4 value and the median value of each type of characteristic value. When one of the values deviates by more than 5%, it is determined to be abnormal, and a maintenance warning is given. One of the values deviating by more than 5% means that one of the maximum, average and minimum of the 3 / 4 value and the median value of the characteristic value deviates by more than 5%.

[0078] It should be noted that after the above maintenance warning occurs, the components of the roller coaster need to be checked after entering the station of the roller coaster in the cycle to confirm that they are normal before the next cycle of operation can be performed. Specifically, the inspection items related to each type of characteristic value can be determined, for example, the maximum value of the 3 / 4 value of the acceleration time in 100 cycles, the maximum value of the 3 / 4 value of the acceleration time in 500 cycle data, and the deviation exceeding 5% leading to a maintenance warning, then the state of the acceleration section track and the roller coaster in the sliding stage is checked. For example, the maximum value of the 3 / 4 value of the lifting speed, the maximum value of the 3 / 4 value of the lifting speed in 500 cycle data, and the deviation exceeding 5% leading to a maintenance warning, then the state of the track and the roller coaster in the lifting stage is checked.

[0079] It should be noted that the above data collection can be performed by PLC, and then the industrial wireless gateway TBOX uses industrial Ethernet to collect the data of the PLC into its internal database, and then uses the MQQT (Message Queue Telemetry Transport) technology to send the data to the cloud platform in real time through the 4G network for the safety monitoring and warning method to call.

[0080] Of course, the present application can have other various embodiments, and those skilled in the art can make various corresponding changes and modifications according to the present application without departing from the spirit and essence of the present application, but these corresponding changes and modifications all belong to the protection scope of the claims of the present application.

Claims

1. A roller coaster safety monitoring and early warning method, characterized in that, The method comprises the following steps: Real-time extraction of multiple characteristic values of the lifting stage, each of which at least includes 3 / 4 value and median value in a roller coaster running cycle, the multiple characteristic values of the lifting stage including at least one of lifting current, lifting speed and lifting process vibration, For each characteristic value, the 3 / 4 value and the median value of each characteristic value are compared with the first normal range threshold (min1, max1) set for the 3 / 4 value and the median value of the characteristic value, and whether to issue a maintenance warning is determined according to the comparison result; In the deceleration section of the roller coaster lifting stage, the prediction model is used to predict the predicted maximum speed value of the sliding stage, if the predicted maximum speed value exceeds the roller coaster safety speed range, the roller coaster stops running, if the predicted maximum speed value does not exceed the roller coaster safety speed range, the roller coaster continues to run; In the sliding stage of the roller coaster operation, the actual maximum speed value is obtained, and the predicted maximum speed value is compared with the actual maximum speed value, and the deviation value is recorded, if the deviation value in the continuous 3 running cycles is greater than the preset threshold, the prediction model optimization warning is issued, and the prediction model is reconstructed through multiple new running cycle data; Real-time extraction of multiple characteristic values of the sliding stage, comparison of two characteristic values with correlation with the set second normal range threshold (min2, max2), and determination of whether to issue a maintenance warning according to the comparison result, the multiple characteristic values of the sliding stage including acceleration time, maximum speed, entry speed and sliding time, The prediction model is as follows: Predicted maximum speed value Vmax = a11 Lifting current + a12 Lifting speed +a13 Total number of operation cycles +a14 Number of passengers + b11 Where a11, a12, a13, a14 and b11 are regression parameters, which are estimated by using multiple linear regression on multiple normal running cycle data of the roller coaster, The two characteristic values with correlation refer to the correlation between acceleration time and maximum speed, and the correlation between entry speed and sliding time.

2. The roller coaster safety monitoring and warning method of claim 1, wherein, Further comprising: Every preset cycle limit value, the maximum value, the average value and the minimum value of the 3 / 4 value and the median value of each characteristic value of each running cycle within the preset cycle limit value are calculated, and the maximum value, the average value and the minimum value of the 3 / 4 value and the median value of each characteristic value of each running cycle in the historical normal running cycle data are compared, when the deviation of one characteristic value exceeds 5%, a maintenance warning is given.

3. The roller coaster safety monitoring and warning method of claim 1, wherein, The comparison of the 3 / 4 value and the median value of each characteristic value with the first normal range threshold (min1, max1) set for the 3 / 4 value and the median value of the characteristic value, and the determination of whether to issue a maintenance warning according to the comparison result, comprises: For each characteristic value, when one of the 3 / 4 value and the median value is within the range of (min1, max1) and the other is within the range of (0.9min1, 1.1max1), it is normal, If the 3 / 4 value and the median value both satisfy (0.9min1, min1) or (1.0max1, 1.1max1), a maintenance warning is given, If at least one of the 3 / 4 value and the median value is out of the range (0.9min1, 1.1max1), a maintenance warning is given.

4. The roller coaster safety monitoring and warning method of claim 1, wherein, The first normal range threshold (min1, max1) and the second normal range threshold (min2, max2) are determined by counting the historical normal operation period data of the roller coaster and using the maximum and minimum values of various characteristic values.

5. The roller coaster safety monitoring and warning method of claim 1, wherein, The roller coaster position information and the real-time time information are one-to-one corresponding by establishing a correlation information table of the roller coaster position information at different positions on the track and the historical position information, obtaining real-time position data of the roller coaster by a position detector during the operation of the roller coaster, comparing the real-time position information with the historical position information, and determining the roller coaster position data corresponding to the real-time position information according to the correlation information table, thereby calculating the average speed of any interval and taking the maximum average speed as the actual maximum speed value of the coasting phase.

6. The roller coaster safety monitoring and warning method of claim 1, wherein, The comparison of the two types of characteristic values with the set second normal range threshold (min2, max2) and the determination of whether to give a maintenance warning according to the comparison result include: When at least one of the two types of characteristic values is within the range (min2, max2) and the other is within the range (0.9min2, 1.1max2), it is normal. When both types of characteristic values satisfy (0.9min2, min2) or (max2, 1.1max2), a maintenance warning is given. If at least one of the two types of characteristic values is out of the range (0.9min2, 1.1max2), a maintenance warning is given.

7. The roller coaster safety monitoring and warning method of claim 2, wherein, The deviation of one of the maximum, average, and minimum values of the 3 / 4 value and the median value of the characteristic value is more than 5%.

8. The roller coaster safety monitoring and warning method of claim 1, wherein, In the lifting phase of the roller coaster, the traction motor lifts the roller coaster according to a speed setting curve, which includes a low-speed crawling section, a speed-up section, a high-speed running section, a speed-down section, and a low-speed crawling section.

9. An electronic device, comprising: The roller coaster safety monitoring and warning method comprises: at least one processor; and a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to cause the at least one processor to perform the roller coaster safety monitoring and warning method of any one of claims 1 to 8.

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