Height limiting control method and system for automatic height limiting frame

Abstract

The invention provides a height limiting control method and system for an automatic height limiting frame, and relates to the technical field of road safety control, and the method comprises the steps: determining a target task of an automatic height limiting rod in a current height limiting scene, and determining a control node interval in the current height limiting scene according to the target task; determining a pose identification point of the automatic height limiting rod in the current height limiting scene according to the control information, and then determining an instruction control set of the automatic height limiting rod for height limiting; according to the diversion state, control response information when the automatic height limiting rod conducts diversion is determined, and then the change decision amount of the automatic height limiting rod for height limiting is determined according to the control response information; and determining a dynamic feedback value of the automatic height limiting rod during height limiting adjustment according to the instruction control set and the change decision quantity, and controlling the height limiting quantity of the automatic height limiting rod in the next height limiting scene according to the dynamic feedback value. Therefore, the dynamic control precision of the automatic height limiting frame is improved.

Description

Technical Field

[0001] The present application relates to the technical field of road safety control, and more specifically, to a height limit control method and system for an automatic height limit frame. Background Art

[0002] Road safety control refers to monitoring and managing road traffic conditions to ensure the safe passage of vehicles when passing through height-restricted areas, including real-time monitoring of traffic flow, vehicle height and speed in height-restricted areas. By using technologies such as sensors and cameras, the system can automatically identify approaching vehicles and determine whether they meet the height-restricted standards. If an over-height vehicle is detected, the system will automatically trigger the height-restricted frame to fall or send out a warning signal to remind the driver to take appropriate action. In addition, road safety control also involves regular maintenance and inspection of the height-restricted frame to ensure that it operates effectively within the designed height range, aiming to prevent over-height vehicles from colliding with the height-restricted frame or other traffic facilities, thereby reducing the risk of accidents and protecting the safety of road users.

[0003] The existing height limit control method for automatic height limit frames is mainly implemented by combining intelligent monitoring and dynamic adjustment. First, the system installs sensors and cameras in the height limit area to monitor approaching vehicles in real time and detect their height, speed and traffic flow. Through data analysis, the system can determine whether the vehicle meets the height limit requirements. When the system identifies an over-height vehicle, it will automatically trigger the control mechanism of the height limit frame and quickly lower the height limit frame to prevent accidents. However, in the existing height limit control of automatic height limit frames, due to reliance on static height limit settings, it fails to fully consider actual traffic conditions and changes in vehicle height, resulting in a lack of effective real-time data collection and analysis mechanism in a dynamic environment, which in turn leads to a response delay in the height limit control of the automatic height limit frame. Therefore, how to pre-adjust the height limit control response feedback capability of the automatic height limit frame to improve the dynamic control accuracy of the automatic height limit frame is a problem faced by the industry. Summary of the invention

[0004] The present application provides a height limit control method and system for an automatic height limit rack, which can pre-adjust the height limit control response feedback capability of the automatic height limit rack to improve the dynamic control accuracy of the automatic height limit rack.

[0005] In a first aspect, the present application provides a height limit control method for an automatic height limit rack, the height limit control method comprising the following steps: Collect height limit scene data of the automatic height limit pole in the front area of ​​the toll island; Performing target analysis on the height limit scene data to obtain the target task of the automatic height limit pole in the current height limit scene, and determining the control node interval in the current height limit scene according to the target task; Acquire control information when the angle of the automatic height limit pole is adjusted, determine the posture recognition point of the automatic height limit pole in the current height limit scene according to the control information, and then determine the command control set for the automatic height limit pole to limit the height according to the posture recognition point and the control node interval; Acquire the diversion state of the automatic height limit pole when diverting, determine the control response information of the automatic height limit pole when diverting according to the diversion state, and then determine the change decision amount of the automatic height limit pole for limiting the height according to the control response information; The dynamic feedback value of the automatic height limit pole during height limit adjustment is determined according to the command control set and the change decision amount, and the height limit amount of the automatic height limit pole in the next height limit scenario is controlled according to the dynamic feedback value.

[0006] In this embodiment, target parsing is performed on the height limit scene data to obtain the target tasks of the automatic height limit pole in the current height limit scene, specifically including: Collect the working behavior characteristics of the automatic height limit pole in the current height limit scene; Mapping the working behavior characteristics to the height limit scene data to obtain the state distribution characteristics of the automatic height limit pole; The target task of the automatic height limit pole in the current height limit scene is determined according to the state distribution characteristics.

[0007] In this embodiment, determining the control node interval in the current height-limited scene according to the target task specifically includes: Extracting the initial boundary of the height limit pole from the target task; Determine the change compensation factor when the height limit of the height limit pole changes in the current height limit scene; A control node interval in the current height-limited scene is determined according to the initial boundary and the change compensation factor.

[0008] In this embodiment, determining the position and posture recognition point of the automatic height limit pole in the current height limit scene according to the control information specifically includes: Determine a height limit state distribution value of the automatic height limit pole in the current height limit scene according to the control information; Determine the height limit control amount of the dynamic height limit pole in the current height limit scene; The position and posture recognition point of the automatic height limit pole in the current height limit scene is determined according to the height limit state distribution value and the height limit control amount.

[0009] In this embodiment, the command control set for determining the height limit of the automatic height limit rod by the posture recognition point and the control node interval specifically includes: Determine the height limit balancing data for the automatic height limit pole to limit the height according to the posture identification point; Extracting the control discreteness of the automatic height limit rod for height limit from the control node interval; An instruction control set for the automatic height limiting rod to limit the height is determined according to the height limit balance data and the control discreteness.

[0010] In this embodiment, the control response information when the automatic height limit rod performs flow diversion according to the flow diversion state specifically includes: Determining an execution response index when the automatic height limit pole performs diversion according to the diversion state; The control response information when the automatic height limit pole performs flow diversion is determined according to the execution response index.

[0011] In this embodiment, the change decision amount of the automatic height limit rod for limiting the height is determined by the control response information specifically includes: Determine a dynamic decision factor for the automatic height limit pole to limit the height according to the control response information; Determine the response coordination characteristics of the automatic height limit pole to limit the height; The change decision amount of the height limit performed by the automatic height limit pole is determined according to the dynamic decision factor and the response coordination feature.

[0012] In this embodiment, determining the dynamic feedback value of the automatic height limit rod during height limit adjustment according to the command control set and the change decision amount specifically includes: Determining the command coordination parameters of the automatic height limit pole during height limit adjustment according to the command control set; Determine the dynamic feedback index of the automatic height limit rod during height limit adjustment according to the change decision amount; The dynamic feedback value of the automatic height limit rod during height limit adjustment is determined according to the command coordination parameter and the dynamic feedback index.

[0013] In this embodiment, the height limit scene data of the automatic height limit pole in the front area of ​​the toll island is collected by various sensors.

[0014] In a second aspect, the present application provides a height limit control system for an automatic height limit rack, which is used to execute a height limit control method for an automatic height limit rack, and the height limit control system includes: Data collection module, used to collect height limit scene data of automatic height limit poles in the front area of ​​the toll island; A target parsing module is used to perform target parsing on the height limit scene data, obtain the target task of the automatic height limit pole in the current height limit scene, and determine the control node interval in the current height limit scene according to the target task; The command control module is used to obtain control information when the angle of the automatic height limit pole is adjusted, determine the posture recognition point of the automatic height limit pole in the current height limit scene according to the control information, and then determine the command control set for the automatic height limit pole to limit the height according to the posture recognition point and the control node interval; A height limit decision module is used to obtain the diversion state of the automatic height limit pole when diverting, determine the control response information of the automatic height limit pole when diverting according to the diversion state, and then determine the change decision amount of the automatic height limit pole to limit the height according to the control response information; The dynamic adjustment module is used to determine the dynamic feedback value of the automatic height limit pole during height limit adjustment according to the command control set and the change decision amount, and control the height limit amount of the automatic height limit pole in the next height limit scene according to the dynamic feedback value.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: By collecting the height limit scene data of the automatic height limit pole in the front area of ​​the toll island; performing target analysis on the height limit scene data to obtain the target task of the automatic height limit pole in the current height limit scene, and determining the control node interval in the current height limit scene according to the target task; obtaining the control information when the angle of the automatic height limit pole is adjusted, and determining the posture recognition point of the automatic height limit pole in the current height limit scene according to the control information, and then determining the instruction control set for the automatic height limit pole to limit the height according to the posture recognition point and the control node interval; obtaining the diversion state of the automatic height limit pole when diverting, determining the control response information of the automatic height limit pole when diverting according to the diversion state, and then determining the change decision amount of the automatic height limit pole to limit the height according to the control response information; determining the dynamic feedback value of the automatic height limit pole when adjusting the height limit according to the instruction control set and the change decision amount, and controlling the height limit amount of the automatic height limit pole in the next height limit scene according to the dynamic feedback value.

[0016] It can be seen that in the present application, the height limit control response feedback capability of the automatic height limit frame can be adjusted in advance; among them, through comprehensive data collection, reliable basic information can be provided for subsequent height limit control decisions, and the understanding of traffic conditions can be improved, thereby enhancing dynamic control capabilities; through intelligent analysis and pattern recognition of data, the task objectives and control strategies of the height limit pole can be accurately determined, thereby achieving dynamic adaptation and optimization, and improving the response efficiency of the overall system; by determining the command control set to achieve accurate identification of the height limit pole position, it is ensured that the command control set can dynamically reflect real-time environmental changes, thereby enhancing the accuracy and timeliness of command execution; by real-time monitoring of the diversion state and generating corresponding control response information, the height limit decision-making process is optimized, so that the system can effectively respond to fluctuations in traffic flow, thereby improving the flexibility and safety of the system; through a dynamic feedback mechanism, real-time adjustment and closed-loop control are implemented to ensure continuous optimization of the height limit setting, and ultimately achieve a higher level of dynamic control accuracy. Finally, the height limit amount of the automatic height limit pole in the next height limit scenario is controlled according to the dynamic feedback value.

[0017] In summary, the technical solution adopted in the present application pre-adjusts the height limit control response feedback capability of the automatic height limit frame to improve the dynamic control accuracy of the automatic height limit frame. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0019] Figure 1 is a flow chart of a height limit control method for an automatic height limit rack provided in the present application; Figure 2 It is a module structure diagram of a height limit control system for an automatic height limit rack provided in the present application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] The embodiment of the present application provides a height limit control method and system for an automatic height limit frame, the core of which is to collect height limit scene data of an automatic height limit pole in the front end area of ​​a toll island; perform target analysis on the height limit scene data to obtain the target task of the automatic height limit pole in the current height limit scene, and determine the control node interval in the current height limit scene according to the target task; obtain control information when the angle of the automatic height limit pole is adjusted, determine the posture recognition point of the automatic height limit pole in the current height limit scene according to the control information, and then determine the instruction control set for the automatic height limit pole to limit the height according to the posture recognition point and the control node interval; obtain the diversion state of the automatic height limit pole when diverting, determine the control response information of the automatic height limit pole when diverting according to the diversion state, and then determine the change decision amount of the automatic height limit pole to limit the height according to the control response information; determine the dynamic feedback value of the automatic height limit pole when adjusting the height limit according to the instruction control set and the change decision amount, and control the height limit amount of the automatic height limit pole in the next height limit scene according to the dynamic feedback value. The above scheme can be adopted to pre-adjust the height limit control response feedback capability of the automatic height limit frame to improve the dynamic control accuracy of the automatic height limit frame.

[0022] Embodiment 1 In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 As shown in FIG. 1 , this figure is an exemplary flow chart of a height limit control method for an automatic height limit rack according to this embodiment of the present application, and the height limit control method includes the following steps: In step S1, the height limit scene data of the automatic height limit pole in the front area of ​​the toll island is collected.

[0023] In the specific implementation, first deploy a variety of sensors to monitor environmental changes in real time. For example, sensors include laser rangefinders, cameras, infrared sensors, etc. These devices are installed in the front end area of ​​the toll island and set around the key positions of the automatic height limit pole. The laser rangefinder can be used to measure the height of passing vehicles. The vehicle height is calculated by emitting lasers and receiving reflected signals. The camera is responsible for capturing the image of the vehicle for image recognition and vehicle type judgment, and the infrared sensor can provide additional detection capabilities under low light conditions. All sensors will be connected to the central control system through the data bus and continuously collect information such as the height, vehicle type, and speed of the vehicle when it enters the height limit area. That is, the height limit scene data of the automatic height limit pole in the front end area of ​​the toll island can be collected through a variety of sensors, which will not be repeated here.

[0024] In step S2, target analysis is performed on the height limit scene data to obtain the target task of the automatic height limit pole in the current height limit scene, and the control node interval in the current height limit scene is determined according to the target task.

[0025] In this embodiment, the target analysis is performed on the height limit scene data to obtain the target task of the automatic height limit pole in the current height limit scene, which can be achieved by the following steps: Collect the working behavior characteristics of the automatic height limit pole in the current height limit scene; Mapping the working behavior characteristics to the height limit scene data to obtain the state distribution characteristics of the automatic height limit pole; The target task of the automatic height limit pole in the current height limit scene is determined according to the state distribution characteristics.

[0026] In the specific implementation, first, sensors are used to monitor the working status of the automatic height limit pole in real time, including its lifting action, angle adjustment, diversion and other behavioral characteristics. For example, the height, frequency and angle change of each lifting and lowering are recorded by the motion sensor of the height limit pole, and the working behavior characteristics are obtained. Then, the behavioral characteristics of the height limit pole are correlated with the height limit scene data. By mapping the behavioral characteristics with the specific data in the scene (such as vehicle height, type, traffic flow, etc.), the state distribution pattern of the height limit pole in different scenes can be formed. For example, when the height of the vehicle exceeds the preset height limit, the height limit pole performs a descending operation, forming an association between the height limit pole and the vehicle height. Finally, through data statistics, the working mode of the height limit pole in different height limit scenes is analyzed, such as the frequency, duration, angle change, etc. of the height limit pole lifting and lowering. For example, in a high-flow height limit scene, the height limit pole may be frequently raised and lowered, while in a low-flow scene, the height limit pole may remain in a fixed state. According to these distribution characteristics, the system can determine the target task of the height limit pole in the current scene (such as height limit, diversion or release), that is, the state distribution characteristics of the automatic height limit pole are obtained.

[0027] It should be noted that in this application, the working behavior characteristics refer to the action data generated by the automatic height limit pole during the working process, including lifting height, angle adjustment, response time, etc., which are used to evaluate the operating status and behavior mode of the height limit pole; the state distribution characteristics represent the behavior mode of the automatic height limit pole in different scenarios, including the number of lifting times, angle changes, etc., which are used to identify the operating rules of the height limit pole; the target task refers to the specific operation or control instruction that the automatic height limit pole needs to perform in a specific height limit scenario, aiming to achieve a specific functional goal. It includes but is not limited to the lifting, angle adjustment, diversion or release of the height limit pole.

[0028] In this embodiment, the following steps may be used to determine the control node interval in the current height-limited scene according to the target task: Extracting the initial boundary of the height limit pole from the target task; Determine the change compensation factor when the height limit of the height limit pole changes in the current height limit scene; A control node interval in the current height-limited scene is determined according to the initial boundary and the change compensation factor.

[0029] In the specific implementation, first, the target task determines the operational requirements of the height limit pole. For example, if it is necessary to block super-high vehicles, the system will calculate the initial position of the height limit pole (i.e., the initial boundary) according to the maximum height of the vehicle and the height limit standard of the road design. This initial boundary can be measured by the vehicle detection system (such as laser ranging or camera system) to measure the actual height of the vehicle. For example, if the height detected by the vehicle is 3.2 meters, and the height limit standard is 3.5 meters, the system will set the initial boundary of the height limit pole to 3.5 meters, and there is no limit here; then, the system monitors the external environment through sensors (such as wind speed sensors, temperature sensors), and calculates an initial boundary based on these real-time environmental data. Adjustment value, for example, in strong wind conditions, when the wind speed sensor detects that the wind speed is higher than the set threshold, the system will adjust the position of the height limit pole and add a wind compensation amount to prevent the height limit pole from being blown by the wind and causing inaccurate operation; finally, combined with the initial boundary of the height limit pole and the change compensation factor, the system finally determines the control node interval in the current scene through calculation. The control node interval refers to the specific area or range that the height limit pole needs to control in the scene, usually including the upper and lower limit action ranges of the height limit pole. For example, in a certain scene, the system calculates that the initial boundary of the height limit pole is 3 meters and the change compensation factor is 0.2 meters, then the control node interval may be in the range of 2.8 meters to 3.2 meters.

[0030] It should be noted that in this application, the initial boundary represents the initial height or position of the height limit pole set according to the vehicle height or scene requirements during the execution of the height limit task, which is used to determine the starting point of the height limit operation; the change compensation factor represents the adjustment parameters introduced by the system during the height limit operation to compensate for the impact of changes in the external environment or vehicle characteristics, to ensure that the height limit pole can accurately perform the task; the control node interval represents the range controlled by the height limit pole in a specific scenario, which is the upper and lower limit range of the height limit pole's lifting and lowering action, to ensure that its action is accurate and meets the task requirements.

[0031] In step S3, the control information of the automatic height limit pole angle adjustment is obtained, and the posture recognition point of the automatic height limit pole in the current height limit scene is determined according to the control information, and then the instruction control set for the automatic height limit pole to limit the height is determined by the posture recognition point and the control node interval.

[0032] In specific implementation, the control information for automatic height limit pole angle adjustment can be obtained in the following manner, namely: first, an angle sensor is installed on the height limit pole to monitor its angle changes in real time to ensure accurate angle data; then, these data are transmitted to the central control system, and the system compares the real-time feedback angle with the preset standard, and issues an adjustment instruction when a deviation is found to ensure the accuracy of the height limit pole angle; finally, the control system uses a control algorithm to automatically adjust the height limit pole, generates an adjustment command based on the vehicle height and height limit requirements, and uses the adjustment command as control information, which will not be repeated here.

[0033] It should be noted that in this application, control information represents specific data and instructions used to guide and adjust the operation of the automatic height limit pole, including but not limited to the current angle of the height limit pole, preset target angle, angle adjustment instructions, state feedback, compensation factors, etc.

[0034] In this embodiment, determining the position and posture recognition point of the automatic height limit pole in the current height limit scene according to the control information can be achieved by using the following steps: Determine a height limit state distribution value of the automatic height limit pole in the current height limit scene according to the control information; Determine the height limit control amount of the dynamic height limit pole in the current height limit scene; The position and posture recognition point of the automatic height limit pole in the current height limit scene is determined according to the height limit state distribution value and the height limit control amount.

[0035] In specific implementation, first, the system analyzes the control information obtained from the sensor and control module, such as the current angle, position, environmental conditions and vehicle height, and calculates the height limit state distribution value of the height limit pole through the data model. For example, the system can count the response of the height limit pole (such as reaction time, accuracy, etc.) when vehicles of different heights pass through in the past period of time, and generate a distribution value to represent the performance at a specific height; then, the height limit control amount of the height limit pole in the current scene is calculated. The control amount is based on the relationship between the actual height of the vehicle and the preset height limit standard. For example, if The vehicle height is 3.4 meters, and the height limit requirement is 3.5 meters. The system will determine the control amount to be +0.1 meters, indicating that the height limit pole needs to be raised to 3.5 meters. The control amount will be adjusted through a control strategy (such as fuzzy control or PID control) to facilitate accurate height setting; the height limit state distribution value and the height limit control amount are fit, for example, using a linear fitting algorithm, and the fitting result is used as the posture recognition point of the automatic height limit pole in the current height limit scene. In other embodiments, other methods can also be used to determine the posture recognition point of the automatic height limit pole in the current height limit scene, which will not be repeated here.

[0036] It should be noted that in this application, the height limit state distribution value represents the performance of the automatic height limit pole under different working conditions, which is used to evaluate its responsiveness and working status; the height limit control amount represents the height or angle that the height limit pole needs to be adjusted when performing a height limit operation to ensure that it meets the requirements of the current scene; the posture identification point represents the ideal position or angle that the automatic height limit pole should maintain in a specific height limit scene in order to achieve the best operating effect.

[0037] In this embodiment, the command control set for determining the height limit of the automatic height limit rod by the posture recognition point and the control node interval can be implemented by the following steps: Determine the height limit balancing data for the automatic height limit pole to limit the height according to the posture identification point; Extracting the control discreteness of the automatic height limit rod for height limit from the control node interval; An instruction control set for the automatic height limiting rod to limit the height is determined according to the height limit balance data and the control discreteness.

[0038] In the specific implementation, first, the system receives the posture recognition point, assuming that the point is 3.5 meters, and then analyzes various operation data at a height of 3.5 meters through historical operation data and real-time monitoring data, including the speed, reaction time and movement amplitude of the vehicle when passing, and then counts these data and calculates the average value and standard deviation at this height to determine the optimal operating parameters of the height limit pole at this height and form height limit balance data; then, the system analyzes the historical control data and records the actual operation data within this range, such as the change amplitude and fluctuation of the height limit pole during operation in the past period of time, calculates the maximum and minimum values ​​during the operation, and determines The range of variation of actual operation is used to derive the control discreteness. For example, if the operation variation within the control interval is 0.15 meters, the control discreteness is 0.15 meters. Finally, the system combines the height limit balance data with the control discreteness to generate a specific command control set. For example, assuming that the reaction time in the height limit balance data is 0.5 seconds, the movement amplitude is 10 centimeters, and the control discreteness is 0.15 meters, the system may set the command to "adjust the height limit pole to 3.5 meters within 0.5 seconds and maintain an operating range of ±0.15 meters". This command will be programmed into the control system in the form of an algorithm to ensure that the automatic height limit pole can be adjusted according to real-time feedback during operation.

[0039] It should be noted that in the present application, the height limit balance data represents the stability parameters that the automatic height limit pole should maintain at a specific height, including reaction time and movement amplitude, etc., to ensure its effective operation at this position; the control discreteness represents the range of variation or fluctuation of the actual operation of the height limit pole within the control node interval, which is used to evaluate the stability and accuracy of the control operation; the instruction control set represents a set of specific operating instructions generated to achieve a specific height limit goal, including adjustment parameters and operation methods, to ensure the effective operation of the automatic height limit pole under specific conditions.

[0040] In step S4, the diversion state of the automatic height limit pole when diverting is obtained, and the control response information of the automatic height limit pole when diverting is determined according to the diversion state, and then the change decision amount of the automatic height limit pole for limiting the height is determined according to the control response information.

[0041] In specific implementation, the diversion status of the automatic height limit pole when diverting traffic can be obtained in the following way, namely: first, the vehicle, pedestrian and obstacle information in the diversion area is collected in real time through sensors (such as lidar, ultrasonic sensors and cameras), and then the collected raw data is filtered and denoised to ensure the accuracy of the data. Then, the target detection and tracking algorithm is used to identify dynamic objects, and the current diversion status (such as smooth, congested or blocked) is judged through the data analysis algorithm. Finally, the analyzed diversion status information is output to the control center in a visual form or transmitted to other system modules, so that the automatic height limit pole can adjust the control strategy according to the real-time traffic conditions to improve traffic safety and efficiency.

[0042] It should be noted that in this application, the diversion state refers to the flow conditions and behavior patterns of vehicles, pedestrians and other dynamic objects in a specific traffic environment, including factors such as flow rate, speed, driving direction and whether there is congestion.

[0043] In this embodiment, the control response information when the automatic height limit rod performs flow diversion according to the flow diversion state can be determined by the following steps: Determining an execution response index when the automatic height limit pole performs diversion according to the diversion state; The control response information when the automatic height limit pole performs flow diversion is determined according to the execution response index.

[0044] In specific implementation, first, the system analyzes the diversion status and identifies key traffic parameters, such as flow, speed and traffic density. For example, if it is detected that the vehicle flow exceeds the set threshold and the speed decreases, it indicates that there may be congestion. Then, based on these parameters, corresponding execution response indicators are formulated. For example, the response indicators may include: raising the height of the height limit pole to guide traffic flow, lowering the height of the height limit pole to reduce traffic inflow, or maintaining the current state to maintain traffic balance; then, key information is extracted from the execution response indicators, such as control targets, adjustment amplitudes and time parameters, to generate detailed control response information, which includes specific operation instructions (such as "raise the height limit pole"), required height (such as "3 meters"), execution time length (such as "lasting 5 minutes") and safety monitoring parameters (such as "monitoring vehicle speed"), that is, control response information is obtained, which is not limited here.

[0045] It should be noted that in this application, the execution response index refers to the specific parameters set by the system according to the current traffic conditions, which aims to guide the equipment to make appropriate operational adjustments; the control response information refers to the operating instructions generated by the automatic height limit pole under a specific diversion state, which is used to adjust the state of the height limit pole to optimize traffic flow.

[0046] In this embodiment, the change decision amount of the automatic height limit rod for limiting the height can be determined by the control response information by the following steps: Determine a dynamic decision factor for the automatic height limit pole to limit the height according to the control response information; Determine the response coordination characteristics of the automatic height limit pole to limit the height; The change decision amount of the height limit performed by the automatic height limit pole is determined according to the dynamic decision factor and the response coordination feature.

[0047] In the specific implementation, first, specific data is extracted from the control response information, such as the current height of the height limit pole, the expected target height, time requirements, etc., and the extracted key information is combined with the real-time traffic monitoring data to calculate the specific dynamic decision factors, which can be processed by weighted algorithms or multivariate analysis to comprehensively consider the influence of different factors; then, the monitoring system of the automatic height limit pole is used to collect historical response data, including the adjustment records of the height limit pole under different traffic conditions, the corresponding traffic data, vehicle height, weather conditions and other information, and then the collected historical response data is analyzed to identify the response mode under specific traffic conditions. This can be done by using statistical analysis, pattern recognition technology or machine learning algorithms to discover patterns. Based on the analyzed response patterns, the key coordination features that affect the adjustment of the height limit poles can be determined, such as adjustment time, adjustment amplitude and response threshold. For example, if it is found that when the traffic volume increases, the height limit pole completes the height adjustment within 2 minutes on average, the system uses this feature as a response coordination feature. Finally, by combining the dynamic decision factors with the response coordination features, the specific change decision quantity is calculated through the set algorithm (such as fuzzy logic, weighted average, etc.). For example, when analyzing that the traffic volume is high and the vehicle height is high, the system may decide to increase the height of the height limit pole by 5 meters and complete the adjustment within 30 seconds.

[0048] It should be noted that in this application, the dynamic decision factor refers to the factors that affect the height adjustment of the automatic height limit pole under a specific control response, including traffic flow, vehicle type and historical behavior; the response coordination characteristic refers to the behavior pattern and response law of the automatic height limit pole under specific traffic conditions, which is used to guide the height adjustment of the height limit pole; the change decision amount refers to the height range that the automatic height limit pole needs to be adjusted under specific circumstances to ensure efficient management of traffic flow under different traffic conditions.

[0049] In step S5, a dynamic feedback value of the automatic height limit pole during height limit adjustment is determined according to the command control set and the change decision amount, and the height limit amount of the automatic height limit pole in the next height limit scenario is controlled according to the dynamic feedback value.

[0050] In this embodiment, the following steps can be used to determine the dynamic feedback value of the automatic height limit rod during height limit adjustment according to the command control set and the change decision amount: Determining the command coordination parameters of the automatic height limit pole during height limit adjustment according to the command control set; Determine the dynamic feedback index of the automatic height limit rod during height limit adjustment according to the change decision amount; The dynamic feedback value of the automatic height limit rod during height limit adjustment is determined according to the command coordination parameter and the dynamic feedback index.

[0051] In the specific implementation, first, extract key parameters from the command control set, such as the height limit target height, adjustment speed and time, etc. The system can analyze the previous operation records to find the best command combination under different circumstances and set the corresponding parameters for the current situation. For example, if the command control set instructs to adjust the height limit pole from 3 meters to 4 meters, the system needs to determine the time and steps required for the adjustment, and can calculate the coordination time sequence and step size that need to be followed in the adjustment process to ensure the smooth adjustment process, that is, to obtain the command coordination parameters; then, according to the specific content of the change decision quantity (such as the height limit change range, time change, etc.), determine the dynamic feedback index, which can be achieved by setting the feedback standard. For example, if the current adjustment range exceeds the preset range, the feedback index should point to the "overlimit" state, in which the actual adjustment of the height limit pole can be monitored in real time by using sensors, and compared with the preset target to generate the corresponding feedback value; finally, combine the extracted command coordination parameters with the dynamic feedback index, and calculate the dynamic feedback value through the algorithm, which can be achieved by using weighted average method, fuzzy logic or PID control algorithm. For example, the system can assign different weights to the command coordination parameters and dynamic feedback indicators to reflect their influence on the final feedback value.

[0052] It should be noted that in the present application, the command coordination parameter refers to the key parameters affecting the adjustment process extracted by the system according to the command control set when executing the height limit adjustment, to ensure the coordination and effectiveness of the operation; the dynamic feedback index refers to the quantitative standard used to evaluate the current operation effect during the height limit adjustment process, which can reflect the real-time status of the height limit pole adjustment; the dynamic feedback value refers to the value calculated by combining the command coordination parameter and the dynamic feedback index, which reflects the actual operating status of the automatic height limit pole during the height limit adjustment process.

[0053] In specific implementation, the following method can be used to control the height limit amount of the automatic height limit pole in the next height limit scenario based on the dynamic feedback value, namely: first, real-time monitoring and collection of dynamic feedback values ​​in the current height limit scenario, including previously calculated feedback results, which can be obtained through sensors, control systems or data recording devices to ensure the accuracy and timeliness of the information; then, based on current traffic conditions, vehicle types, height limit requirements and other factors, analyze the height limit amount required for the next height limit scenario. This process can be combined with traffic flow monitoring data, weather conditions, road conditions and other information for comprehensive evaluation. The optimal height limit setting in the current environment can be determined through set rules or algorithms (such as based on traffic flow prediction models). For example, when it is detected that large vehicles pass frequently, the system may automatically adjust the height limit amount. Adjust the height limit; then, combine the collected dynamic feedback values ​​with the analyzed needs of the next height limit scenario to form a new height limit control scheme, which can be achieved by setting certain control rules. For example, if the dynamic feedback value shows that the height limit pole has not reached the preset height, the height limit needs to be increased; conversely, if the dynamic feedback value is high, the height limit may need to be lowered; finally, according to the determined height limit control scheme, the system issues corresponding instructions to instruct the automatic height limit pole to adjust the height, which can be completed by controlling the actuator through the electronic control system to ensure that the height limit pole is adjusted at the correct time and position. After the height limit pole is adjusted, the system collects relevant data again to evaluate the adjustment effect, including the actual height limit, traffic flow conditions and accident rate, etc. By comparing the data before and after the adjustment, the effectiveness of the adjustment is judged and a feedback report is formed.

[0054] It can be seen that in the present application, the height limit control response feedback capability of the automatic height limit frame can be adjusted in advance; among them, through comprehensive data collection, reliable basic information can be provided for subsequent height limit control decisions, and the understanding of traffic conditions can be improved, thereby enhancing dynamic control capabilities; through intelligent analysis and pattern recognition of data, the task objectives and control strategies of the height limit pole can be accurately determined, thereby achieving dynamic adaptation and optimization, and improving the response efficiency of the overall system; by determining the command control set to achieve accurate identification of the height limit pole position, it is ensured that the command control set can dynamically reflect real-time environmental changes, thereby enhancing the accuracy and timeliness of command execution; by real-time monitoring of the diversion state and generating corresponding control response information, the height limit decision-making process is optimized, so that the system can effectively respond to fluctuations in traffic flow, thereby improving the flexibility and safety of the system; through a dynamic feedback mechanism, real-time adjustment and closed-loop control are implemented to ensure continuous optimization of the height limit setting, and ultimately achieve a higher level of dynamic control accuracy. Finally, the height limit amount of the automatic height limit pole in the next height limit scenario is controlled according to the dynamic feedback value. In summary, the technical solution adopted in the present application pre-adjusts the height limit control response feedback capability of the automatic height limit frame to improve the dynamic control accuracy of the automatic height limit frame.

[0055] Embodiment 2 The present application provides a height limit control system for an automatic height limit rack, referring to Figure 2 As shown, this figure is a schematic diagram of a height limit control system for an automatic height limit rack according to this embodiment of the present application, and the height limit control system includes: The data collection module 100 is used to collect the height limit scene data of the automatic height limit pole in the front area of ​​the toll island; The target parsing module 200 is used to perform target parsing on the height limit scene data, obtain the target task of the automatic height limit pole in the current height limit scene, and determine the control node interval in the current height limit scene according to the target task; The command control module 300 is used to obtain control information when the angle of the automatic height limit pole is adjusted, determine the posture recognition point of the automatic height limit pole in the current height limit scene according to the control information, and then determine the command control set for the automatic height limit pole to limit the height according to the posture recognition point and the control node interval; The height limit decision module 400 is used to obtain the diversion state of the automatic height limit pole when diverting the flow, determine the control response information of the automatic height limit pole when diverting the flow according to the diversion state, and then determine the change decision amount of the automatic height limit pole for limiting the height according to the control response information; The dynamic adjustment module 500 is used to determine the dynamic feedback value of the automatic height limit pole during height limit adjustment according to the command control set and the change decision amount, and control the height limit amount of the automatic height limit pole in the next height limit scene according to the dynamic feedback value.

[0056] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0057] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, the storage medium including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically-erasable programmable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0058] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Claims

1. A height limit control method for an automatic height limit rack, characterized in that: The height limit control method comprises the following steps: Collect height limit scene data of the automatic height limit pole in the front area of ​​the toll island; Performing target analysis on the height limit scene data to obtain the target task of the automatic height limit pole in the current height limit scene, and determining the control node interval in the current height limit scene according to the target task; Acquire control information when the angle of the automatic height limit pole is adjusted, determine the posture recognition point of the automatic height limit pole in the current height limit scene according to the control information, and then determine the command control set for the automatic height limit pole to limit the height according to the posture recognition point and the control node interval; Acquire the diversion state of the automatic height limit pole when diverting, determine the control response information of the automatic height limit pole when diverting according to the diversion state, and then determine the change decision amount of the automatic height limit pole for limiting the height according to the control response information; The dynamic feedback value of the automatic height limit pole during height limit adjustment is determined according to the command control set and the change decision amount, and the height limit amount of the automatic height limit pole in the next height limit scenario is controlled according to the dynamic feedback value.

2. A height limit control method for an automatic height limit frame according to claim 1, characterized in that: The target task of the height limit scene data is analyzed to obtain the target task of the automatic height limit pole in the current height limit scene, which specifically includes: Collect the working behavior characteristics of the automatic height limit pole in the current height limit scene; Mapping the working behavior characteristics to the height limit scene data to obtain the state distribution characteristics of the automatic height limit pole; The target task of the automatic height limit pole in the current height limit scene is determined according to the state distribution characteristics.

3. A height limit control method for an automatic height limit frame according to claim 1, characterized in that: Determining the control node interval in the current height-limited scenario according to the target task specifically includes: Extracting the initial boundary of the height limit pole from the target task; Determine the change compensation factor when the height limit of the height limit pole changes in the current height limit scene; A control node interval in the current height-limited scene is determined according to the initial boundary and the change compensation factor.

4. A height limit control method for an automatic height limit frame according to claim 1, characterized in that: Determining the position and posture recognition point of the automatic height limit pole in the current height limit scene according to the control information specifically includes: Determine a height limit state distribution value of the automatic height limit pole in the current height limit scene according to the control information; Determine the height limit control amount of the dynamic height limit pole in the current height limit scene; The position and posture recognition point of the automatic height limit pole in the current height limit scene is determined according to the height limit state distribution value and the height limit control amount.

5. A height limit control method for an automatic height limit frame according to claim 1, characterized in that: The command control set for determining the height limit of the automatic height limit rod by the posture recognition point and the control node interval specifically includes: Determine the height limit balancing data for the automatic height limit pole to limit the height according to the posture identification point; Extracting the control discreteness of the automatic height limit rod for height limit from the control node interval; An instruction control set for the automatic height limiting rod to limit the height is determined according to the height limit balance data and the control discreteness.

6. A height limit control method for an automatic height limit frame according to claim 1, characterized in that: Determining the control response information when the automatic height limit rod performs flow diversion according to the diversion state specifically includes: Determining an execution response index when the automatic height limit pole performs diversion according to the diversion state; The control response information when the automatic height limit pole performs flow diversion is determined according to the execution response index.

7. A height limit control method for an automatic height limit frame according to claim 1, characterized in that: The change decision amount of the automatic height limit rod to limit the height determined by the control response information specifically includes: Determine a dynamic decision factor for the automatic height limit pole to limit the height according to the control response information; Determine the response coordination characteristics of the automatic height limit pole to limit the height; The change decision amount of the height limit performed by the automatic height limit pole is determined according to the dynamic decision factor and the response coordination feature.

8. A height limit control method for an automatic height limit frame according to claim 1, characterized in that: Determining the dynamic feedback value of the automatic height limit rod during height limit adjustment according to the command control set and the change decision amount specifically includes: Determining the command coordination parameters of the automatic height limit pole during height limit adjustment according to the command control set; Determine the dynamic feedback index of the automatic height limit rod during height limit adjustment according to the change decision amount; The dynamic feedback value of the automatic height limit rod during height limit adjustment is determined according to the command coordination parameter and the dynamic feedback index.

9. A height limit control method for an automatic height limit frame according to claim 1, characterized in that: The height limit scene data of the automatic height limit pole in the front area of ​​the toll island is collected through a variety of sensors.

10. A height limit control system for an automatic height limit rack, used to execute a height limit control method for an automatic height limit rack as claimed in any one of claims 1 to 9, characterized in that: The height limiting control system comprises: Data collection module, used to collect height limit scene data of automatic height limit poles in the front area of ​​the toll island; A target parsing module is used to perform target parsing on the height limit scene data, obtain the target task of the automatic height limit pole in the current height limit scene, and determine the control node interval in the current height limit scene according to the target task; The command control module is used to obtain control information when the angle of the automatic height limit pole is adjusted, determine the posture recognition point of the automatic height limit pole in the current height limit scene according to the control information, and then determine the command control set for the automatic height limit pole to limit the height according to the posture recognition point and the control node interval; A height limit decision module is used to obtain the diversion state of the automatic height limit pole when diverting, determine the control response information of the automatic height limit pole when diverting according to the diversion state, and then determine the change decision amount of the automatic height limit pole to limit the height according to the control response information; The dynamic adjustment module is used to determine the dynamic feedback value of the automatic height limit pole during height limit adjustment according to the command control set and the change decision amount, and control the height limit amount of the automatic height limit pole in the next height limit scene according to the dynamic feedback value.

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