Hanging swing swing area safety warning system

Abstract

The present invention discloses a safety warning system for a hanging swing swing area, comprising a hanging swing device, a monitoring module, a data processing module, a safety assessment module, and a warning control module. By establishing an ideal hanging swing dynamic swing model and setting random environmental disturbances, a hanging swing dynamic model is formed. The motion data and environmental data obtained by the monitoring module are combined with the hanging swing dynamic model to predict the dynamic state of the hanging swing. Based on the stress limit boundary and the running trajectory limit boundary, a comprehensive risk assessment model is established to calculate the current risk state parameters. Based on the set warning level, the warning level corresponding to the current risk state parameter is determined, and a warning is issued according to the corresponding warning level. The present invention can not only evaluate a single module or specific risk, but also implements a comprehensive safety assessment at the system level, ensuring the safety of people riding the hanging swing under different working conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of special equipment, and in particular to a safety early warning system for a swinging area of ​​a hanging swing. Background Art

[0002] As a new type of high-altitude amusement facility, hanging swings are widely popular among tourists for their thrilling experience and are widely used in scenic spots, high-altitude playgrounds and theme parks. However, there are certain safety risks in the operation of hanging swings, such as equipment structure fatigue, excessive range of motion, environmental interference (such as sudden changes in wind speed and direction), and sudden abnormal situations during use. To ensure the safety of users, relevant technologies and standards (such as the "Safety Technical Requirements for Cliff Swings" (GB45069-2024)) clearly stipulate the design structure of hanging swings. Figure 2 However, traditional static design and conservative safety factor estimation alone cannot address the complex safety issues of equipment during dynamic use.

[0003] In the prior art, some safety monitoring measures for hanging swings mainly focus on the following aspects: Equipment status monitoring: monitoring the operating status of the hanging swing through simple sensors such as accelerometers and displacement sensors;

[0004] Manual inspection and maintenance: rely on operators to conduct regular inspections of equipment operation and usage environment; overload protection and emergency braking: emergency handling mechanism for overload or abnormal movement.

[0005] While existing technologies can improve the safety of hanging swings to a certain extent, these methods often rely on a single data source and lack the deep integration of multimodal data, making it difficult to accurately assess safety risks during equipment operation in real time. Furthermore, traditional methods typically rely on manual inspections, which have limited scope and frequency, making it difficult to detect potential hazards in a timely manner.

[0006] Current problems:

[0007] 1. Limited data monitoring scope: Existing technologies mainly rely on a single type of sensor, which makes it difficult to fully cover the multi-dimensional information of the hanging swing's operating area (such as displacement, speed, acceleration, stress, environmental conditions, etc.), resulting in incomplete monitoring data.

[0008] 2. Insufficient data processing capabilities: Existing systems often use simple data processing methods, which are difficult to cope with dynamic and complex operating environments, such as nonlinear motion characteristics in high-frequency swings or sudden changes in the external environment.

[0009] 3. Lack of real-time risk assessment and early warning mechanisms: Traditional systems focus more on protection and alarm after anomalies occur, rather than prediction and early warning before anomalies occur, making it difficult to effectively reduce accident risks.

[0010] 4. Incomplete safety coverage of the sports area: In the extreme sports area where the swings are hung, there may be uncovered blind spots. Dangerous situations in these areas cannot be perceived in time, increasing safety hazards.

[0011] 5. Environmental interference factors are not fully considered: such as the impact of changes in wind speed and direction on the swing amplitude and direction of the hanging swing. The existing method fails to fully consider the dynamic impact of the external environment on the safety of the system. Summary of the Invention

[0012] Therefore, the purpose of the present invention is to provide a safety warning system for the swinging area of ​​a hanging swing; by arranging various types of sensors in the motion area of ​​the hanging swing, real-time collection and integration of multimodal data such as motion status, environmental parameters, stress and strain, and using a fusion warning algorithm to dynamically evaluate the safety risks in the motion area, accurate warning and safety protection are achieved, and it is suitable for the operation and management stage of the hanging swing.

[0013] In order to achieve the above-mentioned object, the present invention provides a safety warning system for a hanging swing swing area, comprising:

[0014] The suspension swing device is driven by the power module, and the suspension module drives the seat module to swing with the support of the support module;

[0015] A monitoring module for monitoring motion data and status data within the swing area of ​​the suspended swing;

[0016] The data processing module establishes an ideal dynamic swing model of the hanging swing and sets random environmental disturbances to form a dynamic model of the hanging swing; the motion data and environmental data obtained by the monitoring module are combined with the dynamic model of the hanging swing to predict the dynamic state of the hanging swing;

[0017] The safety assessment module establishes a comprehensive risk assessment model based on the stress limit boundary and the running trajectory limit boundary of the hanging swing during the movement process, inputs the predicted dynamic state of the hanging swing into the comprehensive risk assessment model, and calculates the current risk state parameters;

[0018] The early warning control module determines the warning level corresponding to the current risk status parameters based on the set warning level, and issues an early warning according to the corresponding warning level.

[0019] Further preferably, the hanging swing device includes a power module, a suspension module, and a support module;

[0020] The support module includes two side columns and a crossbeam arranged on the columns; the support module is used to bear the weight and dynamic load of the entire hanging swing equipment;

[0021] The suspension module is installed on the crossbeam of the support module, and a seat is installed under the suspension module to drive the seat to swing;

[0022] The power module is used to control the suspension module to swing within a safe range.

[0023] Further preferably, the monitoring module includes a motion state monitoring sensor and a structure state monitoring sensor;

[0024] The motion state monitoring sensor is used to monitor the real-time motion parameters of the swing, and the real-time motion parameters include at least position, speed, acceleration, and angular velocity;

[0025] The structural status monitoring sensor is used to monitor the structural strength and environmental parameters of the swing support module, including stress data, wind speed, wind direction, temperature and humidity, and boundary intrusion detection data.

[0026] Further preferably, the ideal dynamic swing model of the hanging swing is established, random environmental disturbances are set, and the dynamic model of the hanging swing is formed, which is expressed by the following formula:

[0027] ;

[0028] in, is the total mass of the passengers and the swing; is the length of the swing rope after adding random perturbations; is the swing angle; is the damping coefficient; is the acceleration due to gravity; is the external driving torque, is the torque generated by random disturbance, is the torque due to wind force.

[0029] Further preferably, the random environmental disturbance includes wind disturbance factor, rope disturbance factor, and random disturbance factor during calculation;

[0030] Wind disturbance factors: ; L is the length of the rope hanging the swing; is the swing angle; ; is the air density; is the front projection area of ​​the swing; is the drag coefficient; is the wind speed;

[0031] Rope disturbance factors: ; ; ;

[0032] in, For the dynamic swing length of the swing, is the acceleration due to gravity; is the elastic modulus of the rope; is the tension of the rope; is the acceleration of the swing's hanging point; is the original length of the swing rope;

[0033] Random disturbance factors: ;in ; is the intensity of random disturbance; is Gaussian white noise or random function.

[0034] Further preferably, the motion data and environmental data obtained by the monitoring module are combined with the hanging swing dynamics model, including:

[0035] The parameters of the disturbance term are adjusted in real time through data fusion of multiple types of sensors:

[0036] According to the wind speed sensor: real-time measurement , update the wind disturbance term ;

[0037] According to the tension sensor: real-time monitoring of rope tension, dynamic update ;

[0038] According to the random perturbation model trained based on environmental noise data, update .

[0039] Further preferably, a comprehensive risk assessment model is established based on the stress limit boundary and the running trajectory limit boundary of the hanging swing during the movement process; the comprehensive risk assessment model establishes dynamic motion trajectory assessment conditions and dynamic period and frequency assessment conditions based on the running trajectory limit boundary, wherein the dynamic motion trajectory assessment condition is expressed by the following formula:

[0040]

[0041] in: To monitor the swing position (horizontally and vertically) in real time, is the swing position predicted by the dynamic model, is the deviation between the real-time position and the theoretical position, is the maximum allowable deviation range; is the swing angle at the current moment; Design the maximum swing angle allowed for the swing;

[0042] Dynamic period and frequency evaluation conditions:

[0043] Dynamic cycle evaluation conditions ;

[0044] in: is the actual swing period of the swing, is the theoretical oscillation period calculated by the dynamic model, is the difference between the actual period and the theoretical period, is the maximum allowable cycle deviation range;

[0045] Frequency judgment conditions:

[0046] in: is the natural frequency of the swing, is the frequency of external excitation, is the difference between the natural frequency and the external excitation frequency, is the minimum safe frequency difference.

[0047] Further preferably, the comprehensive risk assessment model establishes structural safety assessment conditions according to the stress limit boundary, including the following process:

[0048] First, the stress value monitored by the stress sensor , and the yield strength of the structural material For comparison:

[0049]

[0050] By determining the stress threshold, we can measure whether the structural system is in a normal state;

[0051] Secondly, stress cycle statistics are performed to extract the stress amplitude and stress range from the signal. The rain flow counting method is used to count the cycles of the stress time series and extract the number of cycles corresponding to different stress amplitudes and the stress amplitude range.

[0052] Finally, the structural fatigue damage calculation is performed using Miner's linear cumulative damage rule:

[0053]

[0054] in: is the cumulative fatigue damage value, if , it means that the theoretical fatigue limit enters the fatigue failure boundary; if It means that the accumulated fatigue damage of the structure exceeds the theoretical limit and it will enter a failure state; For the The actual number of cycles corresponding to each stress amplitude; n is the total number of cycles; For the The fatigue life that the material can withstand under a certain stress amplitude is calculated using the stress-life SN curve model.

[0055] Further preferably, the comprehensive risk assessment model also includes assessment based on environmental safety;

[0056] Through the collected environmental data, the swing's operating status is analyzed in real time based on the environmental assessment model, and combined with the safety judgment rules, it is determined whether the current environment poses a risk to the swing.

[0057] The swing area safety warning system disclosed in this application utilizes dynamic, structural, and environmental safety assessments to establish a comprehensive safety assessment system from multiple perspectives, including dynamic and static assessments, as well as the external environment. Compared to existing technologies, this system not only assesses individual modules or specific risks but also implements a comprehensive system-level safety assessment, ensuring the safety of passengers on swings under various operating conditions.

[0058] This invention considers the impact of environmental disturbances (such as wind speed, vibration, rain, snow, temperature and humidity) on the operational safety of a suspended swing. It innovatively incorporates a rule-based environmental disturbance analysis model, capable of assessing the swing's stability and adaptability under different environmental conditions. It also effectively safeguards system safety through a hierarchical response mechanism (such as alarms, adjustments, and emergency stops). This dynamic adaptability significantly improves the device's stability and safety in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 This is a structural diagram of the safety warning system for the swinging area of ​​a hanging swing provided by the present invention.

[0060] Figure 2 It is a schematic diagram of the hanging swing structure proposed in the background technology of the present invention.

[0061] In the picture:

[0062] 1. Suspension swing equipment; 2. Monitoring module; 3. Data processing module; 4. Safety assessment module; 5. Early warning control module; 101. Power module; 102. Suspension module; 103. Support module; 104. Seat module. DETAILED DESCRIPTION

[0063] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0064] like Figure 1 As shown, an embodiment of the present invention provides a safety warning system for a hanging swing swing area, comprising:

[0065] Hanging swing equipment 1, such as Figure 2 As shown, it includes a power module 101, a suspension module 102, and a support module 103;

[0066] The support module 103 includes two side columns and a crossbeam arranged on the columns; the support module is used to bear the weight and dynamic load of the entire hanging swing device;

[0067] The suspension module 102 is installed on the crossbeam of the support module, and a seat is installed under the suspension module to drive the seat module 104 to swing; the suspension module 102 is mainly composed of a steel wire rope, a connecting device and a limiting device, and is connected to the support module 103 and the seat module 104, and withstands tension, vibration and swinging force during the swinging process.

[0068] The power module 101 is used to control the suspension module to swing within a safe range; it is mainly composed of components such as a drive device, a brake device, and a control system, and provides functions such as starting, deceleration, and braking to ensure that the swing operates within the design range; ultimately, the power module drives the suspension module, and the suspension module drives the seat to swing with the support of the support module.

[0069] Monitoring module 2, for monitoring motion data and state data within the swing area of ​​the suspended swing; further preferably, the monitoring module includes a motion state monitoring sensor and a structure state monitoring sensor;

[0070] The motion state monitoring sensor is used to monitor the real-time motion parameters of the swing, and the real-time motion parameters include at least position, speed, acceleration, and angular velocity.

[0071] The structural status monitoring sensor is used to monitor the structural strength and environmental parameters of the swing support module, including stress data, wind speed, wind direction, temperature and humidity, and boundary intrusion detection data.

[0072] It mainly includes: motion state monitoring sensor, which is used to monitor the real-time motion parameters of the swing (position, speed, acceleration, angular velocity, etc.) and capture the key characteristics of the swing's swing state.

[0073] For example, an acceleration sensor is mainly installed in the seat module area of ​​a swing to capture the overall linear acceleration of the swing. This is used to monitor the swing amplitude and swing acceleration changes and identify whether they exceed the safety range.

[0074] Angular velocity sensor; arranged in the suspension module area of ​​the swing to measure the angular velocity changes of the swing and evaluate the extreme swing situation.

[0075] The displacement sensor (laser rangefinder) is mainly installed at the boundary of the swing swing area (on both sides or the top) and aligned with the key points of the swing motion trajectory to track the displacement and swing amplitude of the swing in real time and determine whether it exceeds the limited swing area.

[0076] Structural strength condition monitoring sensors monitor the structural strength of the swing support module, detecting potential fatigue, cracks, or deformation to prevent unexpected structural failure. These sensors primarily consist of stress sensors installed at the swing support module's connection points (such as where the suspension rod connects to the support structure). Stress sensors are placed on the base and sidewalls of the support structure to monitor load distribution. This allows for real-time stress monitoring of the support structure and assessment of overload or localized overload risks.

[0077] Environmental monitoring sensors monitor key external parameters of the swing's operating environment, such as wind speed, temperature, and humidity, to identify the impact of these conditions on the swing's safe operation. For example, wind speed and direction sensors are installed on the top or side of the swing's support structure (in an unobstructed location). These sensors form a wind field monitoring network, monitoring wind speed and direction in real time to identify the potential impact of strong winds on the swing's swing amplitude. Temperature and humidity sensors are placed near the swing's support structure to collect ambient temperature and humidity data to support system risk assessment.

[0078] Area monitoring sensors monitor the swing's range, determine whether it exceeds the defined safety zone, and detect any intrusions. For example, a visual sensor (camera) positioned high above the swing area provides a bird's-eye view of the entire swinging area. This captures the entire swing's motion and uses computer vision algorithms to identify dangerous movements or foreign objects within the area.

[0079] It also includes a data processing module 3, such as a centralized controller: installed in the control panel of the hanging swing, serving as a core data acquisition and processing unit, responsible for integrating various sensor data.

[0080] Wireless transmission module: A wireless transmission device (such as LoRa or Wi-Fi module) is arranged between the sensor and the controller to achieve real-time data transmission.

[0081] Through the above-mentioned sensor layout design, the motion state, structural safety and environmental impact of the hanging swing can be comprehensively monitored, providing high-quality data support for the subsequent fusion early warning algorithm, thereby significantly improving the safety and reliability of the hanging swing.

[0082] The data processing module also includes establishing an ideal dynamic swing model of the hanging swing, setting random environmental disturbances, and forming a dynamic model of the hanging swing; combining the motion data and environmental data obtained by the monitoring module with the dynamic model of the hanging swing to predict the dynamic state of the hanging swing.

[0083] The safety assessment module 4 establishes a comprehensive risk assessment model based on the stress limit boundary and the running trajectory limit boundary of the hanging swing during the movement process, inputs the predicted dynamic state of the hanging swing into the comprehensive risk assessment model, and calculates the current risk state parameters.

[0084] The early warning control module 5 determines the early warning level corresponding to the current risk status parameter according to the set early warning level, and issues an early warning according to the corresponding early warning level.

[0085] Further preferably, the ideal dynamic swing model of the hanging swing is established, random environmental disturbances are set, and the dynamic model of the hanging swing is formed, which is expressed by the following formula:

[0086] ;

[0087] in, is the total mass of the passengers and the swing; is the length of the swing rope after adding random perturbations; is the swing angle; is the damping coefficient; is the acceleration due to gravity; is the external driving torque, is the torque generated by random disturbance, is the torque due to wind force.

[0088] First, according to the swing dynamics equation under ideal conditions

[0089]

[0090] in: is the total mass of the passengers and the swing; The length of the ideal swing rope; is the swing angle; is the damping coefficient (e.g. air resistance, internal resistance of the rope); is the acceleration due to gravity; is the external driving torque.

[0091] Introducing environmental disturbances: adding disturbance terms and additional external disturbance torque , the dynamic equation becomes:

[0092] ;in: It is the torque caused by environmental interference forces (such as wind, vibration, and changes in rope elasticity).

[0093] Random environmental disturbances include wind disturbance factors, rope disturbance factors, and random disturbance factors in the calculation;

[0094] Wind disturbance factors: wind torque ; L is the length of the rope hanging the swing; is the swing angle; ; is the air density; is the front projection area of ​​the swing; is the drag coefficient; is the wind speed;

[0095] Rope disturbance factors: ; ; ;

[0096] in, For the dynamic swing length of the swing, is the acceleration due to gravity; is the elastic modulus of the rope; is the tension of the rope; is the acceleration of the swing's hanging point; is the original length of the swing rope;

[0097] Random disturbance factors: ;in ; is the intensity of random disturbance; is Gaussian white noise or random function.

[0098] Considering the above disturbances, the expanded swing dynamic equation is:

[0099]

[0100] Further preferably, the motion data and environmental data obtained by the monitoring module are combined with the hanging swing dynamics model, including:

[0101] The parameters of the disturbance term are adjusted in real time through data fusion of multiple types of sensors:

[0102] According to the wind speed sensor: real-time measurement , update the wind disturbance term ;

[0103] According to the tension sensor: real-time monitoring of rope tension, dynamic update ;

[0104] According to the random perturbation model trained based on environmental noise data, update .

[0105] Dynamic state estimation of a hanging swing

[0106] Combining theoretical calculation values ​​and monitoring data, the state model is dynamically constructed using the data fusion algorithm. Therefore, based on the state space model, the dynamic equation is regarded as the prediction equation of the system state, and the sensor data is regarded as the observation equation. Real-time state estimation is achieved through the prediction-correction cycle.

[0107] First set is the state vector of the system, which is used to describe the swing system at a certain moment The complete dynamic state. It is a multidimensional vector containing key variables of the hanging swing system, such as swing angle, position, velocity, acceleration, etc., which is used to fully describe the dynamic characteristics of the system.

[0108] The state equation is: ;

[0109] in: is the state transfer matrix (obtained by discretizing the dynamic equation); is the input matrix (the influence of external inputs such as wind load); is the input disturbance; is the system process noise.

[0110] The observation equation is: ;

[0111] in: is the observation matrix, To measure noise;

[0112] Prediction-correction cycle method:

[0113] Prediction step: predict the state at the next moment based on the dynamic equation ;

[0114]

[0115] Update step: Correct the predicted state by combining sensor measurement data;

[0116]

[0117] in: is the gain function, which represents the weight distribution between theoretical value and observed value.

[0118] Through the above method, the real-time dynamic state model is output, and finally the state of the system is obtained through the fusion algorithm. :

[0119]

[0120] in, is the estimated value of the swing angle after prediction and correction, the swing angle is the angle of the swing relative to the vertical line;

[0121] is the estimated value of the swing angular velocity, that is, the swing angular velocity, which reflects the swing speed;

[0122] is the estimated value of angular acceleration, i.e., swing acceleration, which is the core driving term of the dynamic model;

[0123] 、 、 They represent the estimated displacement, velocity, and acceleration of the swing suspension point after horizontal disturbance, respectively. This state vector can reflect the complete dynamic characteristics of the system and is particularly suitable for swing system scenarios that consider external disturbances or the influence of flexible connections, providing real-time status support for subsequent control design and health monitoring.

[0124] Further preferably, a comprehensive risk assessment model is established based on the stress limit boundary and the running trajectory limit boundary of the hanging swing during the movement process; the comprehensive risk assessment model establishes dynamic motion trajectory assessment conditions and dynamic period and frequency assessment conditions based on the running trajectory limit boundary, wherein the dynamic motion trajectory assessment condition is expressed by the following formula:

[0125]

[0126] in: To monitor the swing position (horizontally and vertically) in real time, is the swing position predicted by the dynamic model, is the deviation between the real-time position and the theoretical position, is the maximum allowable deviation range; is the swing angle at the current moment; The maximum swing angle allowed for the swing is usually 70°;

[0127] Dynamic period and frequency evaluation conditions:

[0128] Dynamic cycle evaluation conditions ;

[0129] in: is the actual swing period of the swing, is the theoretical oscillation period calculated by the dynamic model, is the difference between the actual period and the theoretical period, is the maximum allowable cycle deviation range;

[0130] Frequency judgment conditions: ;

[0131] in: is the natural frequency of the swing, is the frequency of external excitation, is the difference between the natural frequency and the external excitation frequency, is the minimum safe frequency difference.

[0132] Further preferably, the comprehensive risk assessment model establishes structural safety assessment conditions according to the stress limit boundary, including the following process:

[0133] First, the stress value monitored by the stress sensor , and the yield strength of the structural material For comparison:

[0134]

[0135] By determining the stress threshold, we can measure whether the structural system is in a normal state;

[0136] Secondly, stress cycle statistics are performed to extract the stress amplitude and stress range from the signal. The rain flow counting method is used to count the cycles of the stress time series and extract the number of cycles corresponding to different stress amplitudes and the stress amplitude range.

[0137] Finally, the structural fatigue damage calculation is performed using Miner's linear cumulative damage rule:

[0138]

[0139] in: is the cumulative fatigue damage value, if , it means that the theoretical fatigue limit enters the fatigue failure boundary; if It means that the accumulated fatigue damage of the structure exceeds the theoretical limit and it will enter a failure state; For the The actual number of cycles corresponding to each stress amplitude; n is the total number of cycles; For the The fatigue life that the material can withstand under a certain stress amplitude is calculated using the stress-life SN curve model.

[0140] Further preferably, the comprehensive risk assessment model also includes assessment based on environmental safety;

[0141] Through the collected environmental data, the swing's operating status is analyzed in real time based on the environmental assessment model, and combined with the safety judgment rules, it is determined whether the current environment poses a risk to the swing.

[0142] GB 45069-2024 stipulates that when encountering or forecasting severe weather conditions such as thunder, lightning, heavy rain, snow, frost, fog, smog, freezing, or wind speeds exceeding 15m / s, the use of the cliff swing should be stopped; the number of operators equipped during the operation of the cliff swing should be no less than the number of operating cabins; during the operation of the cliff swing, personnel should not enter the operating area.

[0143] Therefore, in order to further ensure the personal safety of personnel during use, further environmental and regional monitoring is needed. Through the collected environmental data, the swing operation status is analyzed in real time based on the environmental assessment model, and combined with the safety judgment rule library, it is determined whether the current environment poses a risk to the swing.

[0144] Combined with the local climate environment, risk thresholds are set for environmental variables such as wind speed, temperature and humidity, rainfall, and snow accumulation. Different types of environmental data are comprehensively evaluated to provide a multi-dimensional decision-making basis for the safety of the swing.

[0145] Different environmental factors are assigned weights and combined with the threshold rules of various sensor modules to establish an environmental risk index and evaluate the safety status in complex environments.

[0146] 6. Early warning and control module of swing area

[0147] The early warning and control system of the swing area of ​​the hanging swing combines the above-mentioned real-time monitoring, data processing and intelligent control to ensure safety during use.

[0148] In the data processing module and the safety assessment module, multiple sensor data and model calculations are combined to build a comprehensive risk assessment model.

[0149] When the system calculates the current risk status, the model assesses the current risk level through a weighted combination of dynamic safety assessment, structural safety assessment, and environmental safety assessment. The warning level is divided into three levels: low, medium, and high, and input into the warning and control module:

[0150] Low risk: Sound and light alarms are fed back to the centralized controller to provide sound and light prompts, thus improving the safety of the facility area;

[0151] Medium risk: Automatic braking, which provides feedback to a centralized controller and brakes the power unit of the suspended swing based on the controller, allowing the equipment manager to make timely rescue efforts;

[0152] High risk: Startup is prohibited. When the large model detects abnormal values ​​of multiple parameters, it will not only automatically brake, but also urgently lock the start operation to avoid danger to personnel caused by incorrect operation.

[0153] In summary, the patent of this invention proposes a safety warning and control system for hanging swings based on real-time monitoring and intelligent evaluation. It combines three types of sensors, namely motion status, structural strength and environmental monitoring, to comprehensively monitor the support module, suspension module, seat module and power module of the hanging swing. The system dynamically evaluates the operating status of the swing by constructing a dynamic model and a multi-sensor fusion algorithm. Based on a preset safety rule base, it conducts a comprehensive evaluation from the three dimensions of dynamic safety, structural safety and environmental safety, and provides graded warnings and intelligent control measures. This invention significantly improves the safety and intelligence level of hanging swings, has dynamic adjustment capabilities and long-term reliability guarantees, and is suitable for the operation and management of swing equipment in a variety of scenarios.

[0154] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will readily appreciate that other variations or modifications based on the above descriptions are possible. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A safety warning system for a hanging swing swing area, characterized in that: include: The suspension swing device is driven by the power module, and the suspension module drives the seat module to swing with the support of the support module; A monitoring module for monitoring motion data and status data within the swing area of ​​the suspended swing; The data processing module establishes an ideal dynamic swing model of the hanging swing and sets random environmental disturbances to form a dynamic model of the hanging swing; the motion data and environmental data obtained by the monitoring module are combined with the dynamic model of the hanging swing to predict the dynamic state of the hanging swing; The safety assessment module establishes a comprehensive risk assessment model based on the stress limit boundary and the running trajectory limit boundary of the hanging swing during the movement process, inputs the predicted dynamic state of the hanging swing into the comprehensive risk assessment model, and calculates the current risk state parameters; the comprehensive risk assessment model establishes dynamic motion trajectory assessment conditions and dynamic cycle and frequency assessment conditions based on the running trajectory limit boundary, and the comprehensive risk assessment model establishes structural safety assessment conditions based on the stress limit boundary. The following processes are included: First, the stress value monitored by the stress sensor , and the yield strength of the structural material For comparison: By determining the stress threshold, we can measure whether the structural system is in a normal state; Secondly, stress cycle statistics are performed to extract the stress amplitude and stress range from the signal. The rain flow counting method is used to count the cycles of the stress time series and extract the number of cycles corresponding to different stress amplitudes and the stress amplitude range. Finally, the structural fatigue damage calculation is performed using Miner's linear cumulative damage rule: in: is the cumulative fatigue damage value, if , it means that the theoretical fatigue limit enters the fatigue failure boundary; if It means that the accumulated fatigue damage of the structure exceeds the theoretical limit and it will enter a failure state; For the The actual number of cycles corresponding to each stress amplitude; For the The fatigue life that the material can withstand under a certain stress amplitude is calculated using the stress-life SN curve model; The early warning control module determines the warning level corresponding to the current risk status parameters based on the set warning level, and issues an early warning according to the corresponding warning level.

2. The safety warning system for the swing area of ​​a suspended swing according to claim 1 is characterized in that: The hanging swing device includes a power module, a suspension module, and a support module; The support module includes two side columns and a crossbeam arranged on the columns; the support module is used to bear the weight and dynamic load of the entire hanging swing equipment; The suspension module is installed on the crossbeam of the support module, and the seat module is installed under the suspension module to drive the seat module to swing; The power module is used to control the suspension module to swing within a safe range.

3. The safety warning system for the swing area of ​​a suspended swing according to claim 1 is characterized in that: The monitoring module includes a motion state monitoring sensor and a structural state monitoring sensor; the motion state monitoring sensor is used to monitor the real-time motion parameters of the swing, and the real-time motion parameters include at least position, speed, acceleration, and angular velocity; The structural status monitoring sensor is used to monitor the structural strength and environmental parameters of the swing support module, including stress data, wind speed, wind direction, temperature and humidity, and boundary intrusion detection data.

4. The hanging swing swing area safety warning system according to claim 1 is characterized in that: The ideal dynamic swing model of the hanging swing is established, random environmental disturbances are set, and the dynamic model of the hanging swing is formed, which is expressed by the following formula: in, is the total mass of the passengers and the swing; is the length of the swing rope after adding random perturbations; is the swing angle; is the damping coefficient; is the acceleration due to gravity; is the external driving torque, is the torque generated by random disturbance, is the torque due to wind force.

5. The safety warning system for the swing area of ​​a suspended swing according to claim 4 is characterized in that: Random environmental disturbances include wind disturbance factors, rope disturbance factors, and random disturbance factors in the calculation; Wind disturbance factors: wind torque ; L is the length of the rope hanging the swing; is the swing angle; ; is the air density; is the front projection area of ​​the swing; is the drag coefficient; is the wind speed; Rope disturbance factors: ; ; ; in, is the dynamic pendulum length of the swing, g is the acceleration due to gravity; is the elastic modulus of the rope; is the tension of the rope; is the acceleration of the swing's hanging point; is the original length of the swing rope; Random disturbance factors: ;in ; is the intensity of random disturbance; is Gaussian white noise or random function.

6. The safety warning system for the swing area of ​​a suspended swing according to claim 4 is characterized in that: Combine the motion and environmental data obtained by the monitoring module with the dynamic model of the hanging swing, including: The parameters of the disturbance term are adjusted in real time through data fusion of multiple types of sensors: According to the wind speed sensor: real-time measurement , update the wind disturbance term ; According to the tension sensor: real-time monitoring of rope tension, dynamic update ; According to the random perturbation model trained based on environmental noise data, update .

7. The safety warning system for the swing area of ​​a suspended swing according to claim 1, characterized in that: The dynamic motion trajectory evaluation condition is expressed by the following formula: in: To monitor the swing position in real time, is the swing position predicted by the dynamic model, is the deviation between the real-time position and the theoretical position, is the maximum allowable deviation range; is the swing angle at the current moment; Design the maximum swing angle allowed for the swing; Dynamic period and frequency evaluation conditions: Dynamic cycle evaluation conditions ; in: is the actual swing period of the swing, is the theoretical oscillation period calculated by the dynamic model, is the difference between the actual period and the theoretical period, is the maximum allowable cycle deviation range; Frequency judgment conditions: in: is the natural frequency of the swing, is the frequency of external excitation, is the difference between the natural frequency and the external excitation frequency, is the minimum safe frequency difference.

8. The safety warning system for the swing area of ​​a suspended swing according to claim 7, characterized in that: The comprehensive risk assessment model also includes assessment based on environmental safety; Through the collected environmental data, the swing's operating status is analyzed in real time based on the environmental assessment model, and combined with the safety judgment rules, it is determined whether the current environment poses a risk to the swing.

Images