Crown block boarding environment auxiliary judgment system

Abstract

The invention provides a crown block boarding environment auxiliary judgment system. The crown block boarding environment auxiliary judgment system comprises an environment sensing module, a crown block state acquisition module, a main control module, an early warning module, a man-machine interaction module and an in-vehicle active judgment unit. According to the crown block boarding environment auxiliary judgment system provided by the invention, the parameters are acquired through the automatic module and are fused and analyzed, so that the influence of human factors such as experience and fatigue degree of operators is eliminated, and the safety accident risk caused by misjudgment is reduced. Compared with single parameter detection, the system simultaneously covers boarding area environment parameters and crown block self state parameters, active judgment information of workers is also included, comprehensive integration of multi-dimensional data is achieved, and complex conditions of a boarding environment can be reflected. Fusion analysis logic of the main control module ensures scientificity of safety level judgment, and the early warning module and the man-machine interaction module realize timely warning and transparent information, so that an operator can quickly master the environmental safety condition, and safety support is provided for boarding operation.

Description

Technical Field

[0001] This invention belongs to the field of overhead crane system technology, specifically relating to an auxiliary judgment system for the overhead crane boarding environment. Background Technology

[0002] Overhead cranes (bridge cranes) are commonly used heavy lifting equipment in industrial production, widely used in factory workshops, ports, and other places. During overhead crane operations, operators need to frequently climb onto the crane to operate, inspect, and maintain the equipment. The safety of these climbing operations is directly related to the safety of the operators and the production order of the enterprise.

[0003] In existing technologies, the safety of the overhead crane boarding environment mainly relies on the subjective judgment of the operators, or is determined by a simple single parameter detection (such as only detecting light intensity). This method of judgment has many drawbacks: on the one hand, subjective judgment is affected by factors such as the operator's experience and fatigue level, resulting in extremely low accuracy and reliability, and is prone to causing safety accidents due to misjudgment; on the other hand, single parameter detection cannot fully reflect the complex situation of the boarding environment. When only light intensity is detected, factors such as wind speed, obstacles, and the operating status of the overhead crane itself in the boarding area cannot be taken into account, and these factors may all affect boarding safety. Summary of the Invention

[0004] This invention provides an auxiliary system for determining the environment for crane boarding, which aims to solve the problem of incomplete detection in existing crane boarding environment determination methods, thus affecting boarding safety.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is: to provide an auxiliary determination system for crane boarding environment, comprising: The system includes an environmental perception module, a crane status acquisition module, a main control module, an early warning module, a human-machine interaction module, and an in-vehicle active judgment unit. The environmental sensing module is electrically connected to the main control module. The environmental sensing module is used to collect environmental parameters of the crane boarding area and transmit them to the main control module. The crane status acquisition module is electrically connected to the main control module. The crane status acquisition module is used to acquire real-time status parameters of the crane and transmit them to the main control module. The in-vehicle active determination unit is electrically connected to the main control module, and the in-vehicle active determination unit is used to receive active determination information input by the staff inside the crane; The main control module is electrically connected to the early warning module and the human-machine interaction module respectively. The main control module is used to integrate and analyze the environmental parameters of the crane boarding area, the real-time status parameters of the crane, and the active judgment information input by the staff to obtain the safety level of the boarding environment. The early warning module is used to issue corresponding warning information based on the safety level of the boarding environment; the human-computer interaction module is used to display information about the safety level of the boarding environment.

[0006] In one possible implementation, the environmental perception module includes a light sensor, a wind speed sensor, a laser rangefinder sensor, and an image acquisition unit. The light sensor is used to collect light intensity parameters in the boarding area; The wind speed sensor is used to collect real-time wind speed parameters in the boarding area. The laser rangefinder is used to collect parameters such as the flatness of the ground in the boarding area, the distance to obstacles, and the height of the overhead crane. The image acquisition unit is used to collect image information of the boarding area to help staff identify the types of obstacles.

[0007] In one possible implementation, the crane status acquisition module includes a position sensor, a speed sensor, and a load sensor; the position sensor is used to acquire the crane's main trolley position parameters and trolley position parameters; the speed sensor is used to acquire the crane's main trolley running speed parameters, main trolley acceleration parameters, trolley running speed parameters, and trolley acceleration parameters; the load sensor is used to acquire the load weight parameters of the crane's hoisting mechanism.

[0008] In one possible implementation, the main control module is specifically used for: The environmental parameters of the crane boarding area and the real-time status parameters of the crane are standardized. Determine the weighting coefficients for the environmental parameters of the crane boarding area and the real-time status parameters of the crane; The standardized environmental parameters of the crane boarding area and the real-time status parameters of the crane are multiplied by the corresponding weight coefficients and then summed to obtain the comprehensive judgment value. Based on the preset safety level threshold, the comprehensive judgment value is mapped to the safety level of the boarding environment.

[0009] In one possible implementation, the main control module is also used to dynamically adjust the weighting coefficients and safety level thresholds of each parameter based on historical boarding operation data and safety accident cases.

[0010] In one possible implementation, the early warning module includes an audible and visual alarm and a vibration alarm; the audible and visual alarm is used to emit a yellow warning light and a low-frequency warning sound when the warning level is determined; when the danger level is determined, the audible and visual alarm emits a red warning light and a high-frequency warning sound, and at the same time the vibration alarm is activated to send a vibration warning signal to the operator's smart terminal.

[0011] In one possible implementation, the human-machine interaction module uses a touch screen, which is used for operators to manually input real-time status parameters of the overhead crane.

[0012] In one possible implementation, the crane boarding environment auxiliary judgment system further includes a wireless communication module; the main control module establishes a communication connection with the crane's remote monitoring center through the wireless communication module; when the main control module determines that the level is dangerous, the main control module sends a stop command to the crane through the wireless communication module to prohibit the crane from moving, and at the same time uploads the crane boarding area environmental parameters and the crane's real-time status parameters to the crane's remote monitoring center.

[0013] In one possible implementation, the main control module is also used to extract case data from the historical database that have a similarity greater than a preset threshold to the environmental parameters of the current crane boarding area and the real-time status parameters of the crane, for reference by the staff.

[0014] In one possible implementation, the main control module has data query and export functions; the main control module outputs the crane boarding area environmental parameters, crane real-time status parameters, and boarding environment safety level to the workers inside the crane through the touch screen of the human-machine interaction module.

[0015] Compared to existing technologies, this implementation method, rather than relying on subjective judgment, uses an automated module to collect and analyze parameters, eliminating the influence of human factors such as operator experience and fatigue. This significantly improves the accuracy and reliability of the judgment results, reducing the risk of safety accidents caused by misjudgment at the source. Compared to single-parameter detection, the system simultaneously covers environmental parameters of the boarding area, crane status parameters, and incorporates information from proactive assessments by staff, achieving comprehensive integration of multi-dimensional data and fully reflecting the complexities of the boarding environment. Each module has a clear division of labor and works collaboratively. The fusion analysis logic of the main control module ensures the scientific nature of safety level determination, while the early warning module and human-machine interaction module provide timely alerts and transparent information, enabling operators to quickly grasp the environmental safety status. This provides comprehensive safety support for boarding operations, ensuring the safety of operators and the stability of enterprise production order. It is applicable to crane boarding operation needs in various scenarios and has strong versatility.

[0016] After receiving environmental parameters, crane status parameters, and active judgment information transmitted from each module, the main control module performs data processing and fusion analysis according to a preset algorithm. The specific process is as follows: Data standardization: Due to differences in units and magnitudes among various parameters (e.g., light intensity is in lux, wind speed in m / s, and distance in m), the main control module first standardizes all collected parameters, mapping parameters of different dimensions to the same value range (e.g., 0-1 interval), eliminating the influence of dimensions and ensuring that the parameters can be used for subsequent weighted calculations. For proactively determined information, it is converted into quantitative values ​​according to preset rules (e.g., 1 point for no anomaly, 0.5 points for minor anomalies, and 0 points for severe anomalies) and incorporated into the analysis system.

[0017] Weighting coefficients determination and dynamic adjustment: The main control module prioritizes the use of preset initial weighting coefficients. Among the environmental parameters, the weights of light intensity, wind speed, and obstacle distance, and among the crane status parameters, the weights of position and speed, are set according to industry safety priorities (e.g., the weight of a stationary crane is higher than the weight of light intensity). Simultaneously, the main control module dynamically adjusts the weighting coefficients and safety level thresholds of each parameter based on historical crane operation data and safety accident cases. For example, if historical data shows multiple crane accidents caused by excessive wind speed, the weighting coefficient of the wind speed parameter is automatically increased to optimize the threshold range and improve the accuracy of the judgment.

[0018] Comprehensive judgment value calculation: The main control module multiplies each standardized parameter by its corresponding weight coefficient to obtain a weighted score for each parameter. Then, it sums all the weighted scores to calculate the comprehensive judgment value. During the calculation process, the quantified values ​​of the proactive judgment information participate in the summation according to preset weights, compensating for the detection blind spots of objective sensors and improving the comprehensiveness of the analysis results.

[0019] Safety Level Mapping: The main control module compares the calculated comprehensive judgment value with the preset safety level threshold to complete the mapping of the boarding environment safety level. The preset safety levels are divided into three levels: Safety Level (comprehensive judgment value ≥ 0.8), Warning Level (0.5 ≤ comprehensive judgment value < 0.8), and Danger Level (comprehensive judgment value < 0.5). Simultaneously, the main control module extracts case data from the historical database whose similarity to the current parameter combination is greater than a preset threshold (e.g., 85%), and synchronously associates them with the current judgment result, providing reference for staff. Attached Figure Description

[0020] Figure 1 This is a schematic diagram illustrating the working process of the overhead crane boarding environment auxiliary determination system provided in an embodiment of the present invention; Explanation of reference numerals in the attached figures: S100, Environmental parameter acquisition; S200, Overhead crane status parameter acquisition; S300, Active judgment information input; Detailed Implementation To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.

[0021] It should be noted that the terms "length", "width", "height", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "head", and "tail" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention.

[0022] It should also be noted that, unless otherwise explicitly specified and limited, terms such as "installation," "connection," "fixing," and "setting" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part of a structure. They can refer to a mechanical connection or an electrical connection. They can refer to a direct connection or an indirect connection through an intermediate medium, or to the internal communication between two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0023] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. Additionally, "multiple" and "several" mean two or more, unless otherwise explicitly specified.

[0024] Please refer to the following: Figure 1The crane boarding environment auxiliary judgment system provided by this invention will now be described. The crane boarding environment auxiliary judgment system includes an environmental perception module, a crane status acquisition module, a main control module, an early warning module, a human-machine interaction module, and an in-vehicle active judgment unit. The environmental perception module is electrically connected to the main control module and is used to collect environmental parameters of the crane boarding area and transmit them to the main control module. The crane status acquisition module is also electrically connected to the main control module and is used to collect real-time crane status parameters and transmit them to the main control module. The in-vehicle active judgment unit is electrically connected to the main control module and is used to receive active judgment information input by personnel inside the crane. The main control module is electrically connected to the early warning module and the human-machine interaction module, respectively. The main control module is used to perform fusion analysis on the environmental parameters of the crane boarding area, the real-time crane status parameters, and the active judgment information input by personnel to obtain the boarding environment safety level. The early warning module is used to issue corresponding warning information based on the boarding environment safety level. The human-machine interaction module is used to display the boarding environment safety level information.

[0025] The overhead crane boarding environment auxiliary judgment system provided in this embodiment, compared with existing technologies, eliminates the influence of human factors such as operator experience and fatigue by automatically collecting and analyzing parameters through automated modules, thus significantly improving the accuracy and reliability of the judgment results and reducing the risk of safety accidents caused by misjudgment from the source, compared with single parameter detection. Compared with single parameter detection, the system simultaneously covers environmental parameters of the boarding area, overhead crane status parameters, and incorporates information actively judged by staff, achieving comprehensive integration of multi-dimensional data and fully reflecting the complex situation of the boarding environment. Each module has a clear division of labor and works in concert. The fusion analysis logic of the main control module ensures the scientific nature of the safety level judgment, while the early warning module and human-computer interaction module provide timely warnings and transparent information, allowing operators to quickly grasp the environmental safety status, providing comprehensive safety support for boarding operations, ensuring the life safety of operators and the stability of enterprise production order, and is applicable to the needs of overhead crane boarding operations in different scenarios, with strong versatility.

[0026] In some embodiments, the above-described environment sensing module may employ, for example... Figure 1 The structure shown. See also Figure 1 The environmental perception module includes a light sensor, a wind speed sensor, a laser rangefinder, and an image acquisition unit. The light sensor collects light intensity parameters in the boarding area. The wind speed sensor collects real-time wind speed parameters in the boarding area. The laser rangefinder collects ground flatness parameters, obstacle distance parameters, and crane height parameters in the boarding area. The image acquisition unit collects image information of the boarding area to assist staff in identifying obstacle types.

[0027] The light sensor accurately collects light intensity, eliminating the safety hazard of poor visibility when boarding the vehicle at night or in low-light conditions. The wind speed sensor captures wind speed parameters in real time, effectively avoiding risks such as personnel losing balance and tools falling when boarding in strong winds, making it particularly suitable for outdoor port and dock scenarios. The multi-parameter acquisition capability of the laser rangefinder sensor can detect ground flatness, preventing workers from falling due to uneven ground, and accurately measure the distance to obstacles and the height of the overhead crane, preventing collisions. The image acquisition unit uses visual images to assist in identifying obstacle types. Compared to simple distance detection, it allows workers to more accurately determine whether obstacles are removable and whether there are potential hazards, improving decision-making efficiency. All sensors and units work collaboratively, with no data acquisition blind spots, ensuring the comprehensiveness and accuracy of environmental parameter collection, providing high-quality data support for subsequent fusion analysis, and further improving the reliability of the system's judgment results.

[0028] In some embodiments, the above-mentioned crane status acquisition module can adopt, for example, Figure 1 The structure shown. See also Figure 1 The overhead crane status acquisition module includes position sensors, speed sensors, and load sensors. The position sensors collect the position parameters of the main trolley and the auxiliary trolley. The speed sensors collect the main trolley's running speed and acceleration parameters, as well as the auxiliary trolley's running speed and acceleration parameters. The load sensors collect the load weight parameters of the overhead crane's hoisting mechanism.

[0029] Position sensors collect position parameters of the trolley and crane, clearly indicating the current location of the overhead crane and preventing workers from boarding when the crane is in a dangerous area (such as near equipment edges or overlapping work areas). Speed ​​sensors and acceleration parameters allow for timely detection of whether the overhead crane is in operation or at risk of sudden start / stop, preventing falls and collisions due to crane movement during boarding. Load sensors collect the load weight of the hoisting mechanism, avoiding boarding when the load is suspended or the center of gravity is unstable, preventing accidents caused by load swaying. The comprehensive collection of these parameters accurately reflects the crane's operating status and load conditions. Combined with environmental parameter analysis, this effectively identifies potential safety hazards arising from the crane's own condition, ensuring that boarding operations are conducted when the crane is in a stable and safe state. This is particularly suitable for heavy-load, high-frequency moving overhead crane operations, further expanding the system's application scope and enhancing the comprehensiveness of safety protection. In some embodiments, the main control module described above may employ, for example... Figure 1 The structure shown. See also Figure 1The main control module is specifically used for: standardizing the environmental parameters of the crane boarding area and the real-time status parameters of the crane; determining the weighting coefficients for the environmental parameters of the crane boarding area and the real-time status parameters of the crane; multiplying the standardized environmental parameters of the crane boarding area and the real-time status parameters of the crane by their corresponding weighting coefficients and summing the results to obtain a comprehensive judgment value; and mapping the comprehensive judgment value to the boarding environment safety level according to a preset safety level threshold.

[0030] Standardization eliminates the impact of differences in parameter units and magnitudes, ensuring that all parameters participate in the analysis within the same dimension and avoiding judgment bias caused by inconsistent parameter dimensions. Setting weighting coefficients highlights the impact of key parameters on boarding safety; for example, the weight of wind speed can be appropriately increased in outdoor scenarios, and the weight of obstacle distance can be increased in workshop scenarios, making the judgment results more aligned with actual scenario requirements. The calculation method of the comprehensive judgment value achieves the organic integration of multiple parameters through weighted summation, which, compared to simple parameter superposition, more accurately reflects the comprehensive impact of various factors on boarding safety. Preset safety level thresholds enable quantitative judgment of safety levels, allowing operators to clearly understand the environmental safety level, rather than relying on vague safety warnings. This standardized judgment logic ensures the consistency and reliability of judgment results under different scenarios and working conditions, facilitating the formation of unified operating procedures for operators, and providing a clear logical foundation for subsequent parameter optimization and system upgrades.

[0031] In some embodiments, the main control module described above may employ, for example... Figure 1 The structure shown. See also Figure 1 The main control module is also used to dynamically adjust the weight coefficients and safety level thresholds of each parameter based on historical boarding operation data and safety accident cases.

[0032] By adjusting weighting coefficients based on historical overhead crane operation data and safety incident cases, the impact of key risk parameters can be fully reflected. For example, if a certain type of accident is frequently caused by excessive wind speed, the weighting coefficient of the wind speed parameter can be increased, enhancing the system's sensitivity to this type of risk and enabling early warnings. Dynamic adjustment of safety level thresholds can adapt to the operational needs of different scenarios and equipment. For instance, the safety threshold can be appropriately increased for newly commissioned overhead cranes, while the threshold can be decreased for older cranes to enhance protection. This dynamic optimization capability allows the system to continuously adapt to actual operational conditions over time, improving the accuracy of judgments and reducing false and missed warnings. Furthermore, optimization based on historical data eliminates the need for manual adjustments, reducing system maintenance costs and ensuring that the system maintains a high level of safety protection throughout long-term use, adapting to the dynamic changes in enterprise production conditions.

[0033] In some embodiments, the aforementioned early warning module may employ, for example... Figure 1 The structure shown. See also Figure 1 The early warning module includes an audible and visual alarm and a vibration alarm. The audible and visual alarm emits a yellow warning light and a low-frequency warning sound when the warning level is determined. When the level is determined to be dangerous, the audible and visual alarm emits a red warning light and a high-frequency warning sound, and simultaneously the vibration alarm activates, sending a vibration warning signal to the operator's smart terminal.

[0034] The tiered early warning mechanism matches different warning signals according to the safety level. The yellow warning light and low-frequency warning sound at the initial warning level effectively alert workers to risks without causing excessive panic, allowing them to handle situations flexibly while ensuring safety. The red warning light and high-frequency warning sound at the danger level provide a strong warning, while a vibration alarm sends a vibration signal to the smart terminal. Even in noisy environments or with obstructed vision, workers can receive the warning information promptly, preventing accidents caused by unawareness. This multi-dimensional warning system covers visual, auditory, and tactile sensory channels, effectively avoiding the problem of single warning methods being easily overlooked in complex working environments. This tiered early warning design ensures the timeliness and effectiveness of risk warnings, matches warning intensity with risk levels, improves the operator experience, and strengthens the last line of defense for safety.

[0035] In some embodiments, the above-mentioned human-computer interaction module may adopt the following... Figure 1 The structure shown. See also Figure 1 The human-machine interaction module uses a touch screen, which is used for operators to manually input the real-time status parameters of the overhead crane.

[0036] The touchscreen features an intuitive interface, allowing operators to quickly view safety levels, various parameters, and other information. Compared to traditional button-based interaction, it offers more convenient operation and more comprehensive information display. It supports manual input of real-time crane status parameters, effectively addressing emergencies such as sensor malfunctions and abnormal parameter acquisition, preventing system failures due to automated data acquisition failures, and ensuring system continuity and reliability. Simultaneously, the manual input function provides operators with a channel to proactively correct parameters. For example, when sensors exhibit slight deviations due to environmental interference, staff can manually adjust parameters to improve the accuracy of judgments. This design balances the efficiency of automated systems with the flexibility of manual operation, reducing the system's reliance on a single data acquisition method, adapting to complex and changing operating environments, and enhancing system stability and applicability.

[0037] In some embodiments, the above-mentioned crane boarding environment auxiliary determination system may employ, for example... Figure 1 The structure shown. See also Figure 1The crane boarding environment auxiliary judgment system also includes a wireless communication module. The main control module establishes a communication connection with the crane's remote monitoring center through the wireless communication module. When the main control module determines that the situation is dangerous, it sends a stop command to the crane through the wireless communication module, prohibiting the crane from moving, and simultaneously uploads the environmental parameters of the crane boarding area and the real-time status parameters of the crane to the crane's remote monitoring center.

[0038] When a hazardous level is detected, the system automatically sends a shutdown command to prevent the overhead crane from moving. This proactively cuts off the risk source before an accident occurs, preventing the danger from escalating due to crane movement. Compared to systems that only issue warnings, this system has stronger risk control capabilities. Uploading parameters to the remote monitoring center allows managers to monitor the on-site risk situation in real time and coordinate remote handling. This is particularly suitable for scenarios where multiple overhead cranes operate collaboratively, such as in large factories and ports, enabling comprehensive safety management. The wireless communication module breaks down information silos in the local system, enabling real-time linkage between on-site data and the remote monitoring center. This facilitates data analysis, hazard identification, and work scheduling for managers. This design upgrades passive early warning to proactive prevention, while achieving collaborative management between local and remote systems, further improving the safety of crane operations and reducing the company's safety management costs.

[0039] In some embodiments, the main control module described above may employ, for example... Figure 1 The structure shown. See also Figure 1 The main control module is also used to extract case data from the historical database that have a similarity greater than a preset threshold to the environmental parameters of the current crane boarding area and the real-time status parameters of the crane, for reference by the staff.

[0040] By extracting historical cases with high similarity to current parameters, operators can quickly understand the safety risks, handling methods, and lessons learned from past accidents under similar working conditions, avoiding repeating mistakes. This is especially beneficial for newly hired or inexperienced operators, helping them make correct decisions quickly. The case reference function does not replace system judgment but serves as a supplement, allowing operators to combine historical experience with the system's judgment results to further improve the accuracy of their decisions. Simultaneously, the accumulation and extraction of historical cases provides valuable material for safety training, helping to improve the safety awareness and emergency response capabilities of all operators. This design transforms data value into practical operational guidance, enabling the system to not only perform safety judgments but also play a role in experience transfer and decision support, thereby enhancing the overall value of the system and the company's safety management level.

[0041] In some embodiments, the main control module described above may employ, for example... Figure 1 The structure shown. See also Figure 1The main control module has data query and export functions. Through the touchscreen of the human-machine interface module, the main control module outputs environmental parameters of the crane boarding area, real-time crane status parameters, and the safety level of the boarding environment to the workers inside the crane.

[0042] The data query function allows operators and managers to access historical parameters, safety level records, and early warning information at any time, facilitating rapid hazard identification and accident tracing. When safety anomalies occur, historical data can be used to pinpoint the root cause, improving fault handling efficiency. The data export function supports exporting relevant data to standard format files, meeting the needs of enterprise safety record retention, compliance auditing, and data analysis. This avoids the tediousness and errors of manual data recording, reducing management costs. The touchscreen output of various parameters and safety levels provides intuitive and convenient data display, allowing operators to view key information at any time without switching equipment or consulting paper records, thus improving operational efficiency. This design makes the system not only a safety assessment tool but also a data analysis and management platform for overhead crane operations, providing data support for refined safety management and helping enterprises achieve standardized and intelligent safety management.

[0043] The crane boarding environment auxiliary determination system provided in this embodiment works as follows.

[0044] S100 Environmental Parameter Acquisition: All sensors and image acquisition units in the environmental perception module operate synchronously. The light sensor collects real-time light intensity parameters in the boarding area, and the wind speed sensor collects real-time wind speed parameters in the boarding area. The laser rangefinder, through laser emission and reception feedback, accurately collects ground flatness parameters (calculated using multi-point distance difference), distance parameters between obstacles and workers / boarding points, and the crane's own height parameters in the boarding area. The image acquisition unit (such as a high-definition camera) continuously collects image information of the boarding area and transmits it to the main control module in real-time, providing image support for obstacle type identification. All environmental parameters are continuously collected at a preset frequency (e.g., once per second) to ensure data real-time performance.

[0045] S200 Crane Status Parameter Acquisition: The crane status acquisition module synchronously acquires real-time operating status parameters of the crane. Position sensors acquire the current position parameters of the crane's main trolley (lateral along the track) and auxiliary trolley (longitudinal along the main trolley) to determine whether the crane's stopping position is within the safe boarding area. Speed ​​sensors acquire the running speed and acceleration parameters of the main trolley and auxiliary trolley to determine whether the crane is stationary or in a stable stopping state. Load sensors acquire the load weight parameters of the crane's hoisting mechanism to confirm whether the crane is in an unloaded or safe load state, avoiding load swaying from affecting boarding. The above parameters are also acquired in real time and synchronously transmitted to the main control module.

[0046] S300 Active Judgment Information Input: In-vehicle personnel can manually input active judgment information through the in-vehicle active judgment unit, based on the actual site conditions. This includes information about scenarios where sensors may struggle to accurately identify conditions such as temporary construction barriers in the boarding area or oil stains on the ground, supplementing the insufficient collection of objective parameters. Active judgment information can be entered via the touchscreen of the human-machine interface module and uploaded to the main control module in real time for subsequent fusion analysis.

[0047] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A crane boarding environment auxiliary judgment system, characterized in that, include: The system includes an environmental perception module, a crane status acquisition module, a main control module, an early warning module, a human-machine interaction module, and an in-vehicle active judgment unit. The environmental sensing module is electrically connected to the main control module. The environmental sensing module is used to collect environmental parameters of the crane boarding area and transmit them to the main control module. The crane status acquisition module is electrically connected to the main control module. The crane status acquisition module is used to acquire real-time status parameters of the crane and transmit them to the main control module. The in-vehicle active determination unit is electrically connected to the main control module, and the in-vehicle active determination unit is used to receive active determination information input by the staff inside the crane; The main control module is electrically connected to the early warning module and the human-machine interaction module respectively. The main control module is used to integrate and analyze the environmental parameters of the crane boarding area, the real-time status parameters of the crane, and the active judgment information input by the staff to obtain the safety level of the boarding environment. The early warning module is used to issue corresponding warning information based on the safety level of the boarding environment; the human-computer interaction module is used to display information about the safety level of the boarding environment.

2. The crane boarding environment auxiliary determination system as described in claim 1, characterized in that, The environmental perception module includes a light sensor, a wind speed sensor, a laser rangefinder sensor, and an image acquisition unit. The light sensor is used to collect light intensity parameters in the boarding area; The wind speed sensor is used to collect real-time wind speed parameters in the boarding area. The laser rangefinder is used to collect parameters such as the flatness of the ground in the boarding area, the distance to obstacles, and the height of the overhead crane. The image acquisition unit is used to collect image information of the boarding area to help staff identify the types of obstacles.

3. The crane boarding environment auxiliary determination system as described in claim 1, characterized in that, The overhead crane status acquisition module includes a position sensor, a speed sensor, and a load sensor; the position sensor is used to acquire the position parameters of the main trolley and the trolley; the speed sensor is used to acquire the main trolley running speed parameters, main trolley acceleration parameters, trolley running speed parameters, and trolley acceleration parameters; the load sensor is used to acquire the load weight parameters of the overhead crane hoisting mechanism.

4. The overhead crane boarding environment auxiliary determination system as described in claim 1, characterized in that, The main control module is specifically used for: The environmental parameters of the crane boarding area and the real-time status parameters of the crane are standardized. Determine the weighting coefficients for the environmental parameters of the crane boarding area and the real-time status parameters of the crane; The standardized environmental parameters of the crane boarding area and the real-time status parameters of the crane are multiplied by the corresponding weight coefficients and then summed to obtain the comprehensive judgment value. Based on the preset safety level threshold, the comprehensive judgment value is mapped to the safety level of the boarding environment.

5. The crane boarding environment auxiliary determination system as described in claim 1, characterized in that, The main control module is also used to dynamically adjust the weighting coefficients and safety level thresholds of each parameter based on historical boarding operation data and safety accident cases.

6. The crane boarding environment auxiliary determination system as described in claim 1, characterized in that, The early warning module includes an audible and visual alarm and a vibration alarm. When the warning level is determined, the audible and visual alarm emits a yellow warning light and a low-frequency warning sound. When the danger level is determined, the audible and visual alarm emits a red warning light and a high-frequency warning sound, and at the same time, the vibration alarm is activated to send a vibration warning signal to the operator's smart terminal.

7. The crane boarding environment auxiliary determination system as described in claim 4, characterized in that, The human-machine interaction module uses a touch screen, which is used for operators to manually input the real-time status parameters of the overhead crane.

8. The overhead crane boarding environment auxiliary determination system as described in claim 6, characterized in that, The crane boarding environment auxiliary judgment system also includes a wireless communication module; the main control module establishes a communication connection with the crane's remote monitoring center through the wireless communication module; when the main control module determines that the level is dangerous, the main control module sends a stop command to the crane through the wireless communication module to prohibit the crane from moving, and at the same time uploads the crane boarding area environmental parameters and the crane's real-time status parameters to the crane's remote monitoring center.

9. The overhead crane boarding environment auxiliary determination system as described in claim 1, characterized in that, The main control module is also used to extract case data from the historical database that have a similarity greater than a preset threshold to the environmental parameters of the current crane boarding area and the real-time status parameters of the crane, for reference by the staff.

10. The crane boarding environment auxiliary determination system as described in claim 7, characterized in that, The main control module has data query and export functions; the main control module outputs the crane boarding area environmental parameters, crane real-time status parameters and boarding environment safety level to the workers inside the crane through the touch screen of the human-machine interaction module.

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