Safety detection method and system applied to three-dimensional ship garage
By obtaining shipyard design documents, determining safety detection points, collecting status parameters and conducting real-time comparison and analysis, the problem of poor safety detection results in traditional shipyards is solved, and the safety detection effect of comprehensive coverage and rapid response is achieved.
Patent Information
- Application Number
- CN202411944094.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-27
- Publication Date
- 2025-04-11
AI Technical Summary
Traditional shipyard parking depots lack intelligent safety detection methods, resulting in poor safety detection results, difficulty in covering all risk points in full, and there are safety blind spots.
By obtaining the design documents of the shipyard, determining the location of different types of safety detection devices, collecting status parameters, comparing and analyzing the design parameters and status parameters in real time, triggering early warnings or detection instructions, and executing corresponding safety protection measures.
The comprehensive safety inspection coverage of shipyards has been achieved, which reduces the possibility of accidents, shortens the time difference from detection to response, improves the abnormal response speed, and improves the level of safety management.
Smart Images
Figure CN119811053A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of stereoscopic boathouses, and in particular to a safety detection method and a detection system thereof applied to stereoscopic boathouses. Background Art
[0002] A boathouse refers to a boathouse with a three-dimensional layout design, which is mainly used for docking and storage of yachts, protecting yachts from environmental impacts and extending their service life. The original intention of the design was to cope with the problems of rising urban land costs and space limitations.
[0003] Although the traditional boathouse has met the needs of users to a certain extent, it lacks some intelligent safety detection methods for the three-dimensional boathouse when it is parked, and the safety detection effect is poor: for example, the type of safety detection device is single, and the detection device is mostly fixedly installed, which can only monitor the status changes of specific positions, and it is difficult to fully cover all risk points of the entire boathouse, and safety blind spots are prone to occur. Therefore, there is a defect of poor safety detection effect on the boathouse, and there is room for improvement. Summary of the invention
[0004] In order to improve the safety detection effect of a boat garage and speed up the safety response when an abnormality is detected, the present application provides a safety detection method and a detection system applied to a three-dimensional boat garage.
[0005] In the first aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A safety detection method applied to a three-dimensional boathouse, comprising: Obtaining a design document of a boathouse, and obtaining design parameters of the boathouse according to the design document; Determining the positions of various safety detection points of different types of safety detection devices according to the design parameters of the boathouse; Based on the positions of all safety detection points, collecting the state parameters of the boathouse; Compare and analyze the design parameters with the state parameters to obtain safety detection results, and trigger corresponding early warning instructions or corresponding detection instructions according to the safety detection results; In a preset security management policy model, security protection measures are executed based on the early warning instruction or the detection instruction.
[0006] By adopting the above technical scheme, the design parameters include but are not limited to the size of the shipboard, the load-bearing capacity, the height of each layer and the layout position of the safety detection device, and different types of safety detection devices include four-point independent anti-fall hooks, anti-loose rope detection, human and vehicle mistaken entry detection, front and rear overlength detection, full-length guide wheel anti-sway device and lower layer vehicle detection, etc.; multiple safety monitoring points are determined according to the design parameters of the boat garage so that all possible risk points can be monitored, so that the detection coverage of safety detection is more comprehensive; by comparing and analyzing the design parameters and status parameters in real time based on the positions of all safety detection points, the safety detection results are quickly obtained, and early warning instructions or detection instructions are triggered accordingly, reducing the possibility of accidents, and immediately executing corresponding safety protection measures according to the early warning instructions or detection instructions, such as emergency stop, alarm notification, etc., which is conducive to shortening the time difference from detection to response and improving the abnormal response speed when abnormal situations occur. The entire safety detection process of this application is highly automated, and users do not need to intervene frequently, simplifying the operation process, and realizing a comprehensive improvement in the safety management level of the three-dimensional boat garage.
[0007] In a preferred example of the present application, the step of obtaining a design file of a boathouse and obtaining design parameters of the boathouse according to the design file specifically includes: Obtaining design documents of the boathouse, wherein the design documents include structural design documents and safety detection device layout documents; According to the structural design file, obtaining physical structural design parameters based on the structural design file, the physical structural design parameters including the size of the shipboard, the load-bearing capacity, the height of each layer and the layout position of the safety detection device; According to the safety detection device layout file, the design parameters of the safety detection device are obtained, and the design parameters of the safety detection device include the position of the four-point independent anti-fall hook, the position of the anti-loose rope detector, the position of the human and vehicle misentry detection sensor, the position of the front and rear over-length detection sensors, the position of the full-length guide wheel anti-sway device and the position of the lower layer vehicle detection sensor.
[0008] By adopting the above technical scheme, we first fully understand the physical structure of the boathouse and the layout of the safety detection device, which not only covers the static structural information, but also includes the location information of the dynamic detection device. According to the structural design documents, this application accurately obtains the physical structural design parameters of the ship loading board size, load-bearing capacity, height of each layer and layout position of the safety detection device to reduce the occurrence of missing key risk areas. At the same time, based on the safety detection device layout file, the specific positions of the four-point independent anti-fall hook, anti-loose rope detector, human and vehicle misentry detection sensor, front and rear over-length detection sensors, full-length guide wheel anti-sway device and lower-level vehicle detection sensor are obtained in detail to facilitate the refined safety detection layout of the three-dimensional boathouse and improve the accuracy of safety detection.
[0009] In a preferred example of the present application: the method further includes: According to the historical state parameter set of the boathouse, the historical state interval data of multiple safety detection devices of the boathouse are identified and obtained, and the working operation mode information of the multiple safety detection devices is obtained accordingly; the working operation mode information includes multiple working operation stage intervals corresponding to different safety levels, and the safety detection device is associated with the device identification; Based on the device identification, a historical operation record data set of each safety detection device is obtained, and training optimization based on the safety threshold is performed in a preset initial safety management strategy model to obtain an optimized safety management strategy model; Based on the historical monitoring data set of the boathouse, the correlation risk factors between various safety detection devices are calculated and determined, and the risk factor correlation coefficients of all safety detection devices are obtained; According to the risk factor correlation coefficients of all safety detection devices and the safety parameter adjustment strategy corresponding to the historical operation record data set, the minimum safety threshold value of each safety detection device in each working operation stage interval is determined to generate the optimal safety protection strategy; The status of each safety detection device of the boat garage is safety detected according to the optimal safety protection strategy.
[0010] By adopting the above technical scheme, based on the historical status parameter set of the boathouse, the corresponding working operation mode information of each safety detection device is obtained, so as to perform intelligent analysis based on historical data, identify the risk characteristics of different working stages, provide more accurate safety assessment, and improve the flexibility and applicability of the safety management strategy by training optimization based on safety thresholds in the preset initial safety management strategy model through dynamic analysis methods optimized by dynamic safety management strategies; the calculation of the correlation coefficient of the associated risk factor quantifies the mutual influence between different equipment, which helps to identify high-risk associated areas. In actual application, it is convenient to perform high-frequency safety inspections on high-risk safety detection areas; then, based on the minimum safety threshold of each safety detection device in each working operation stage interval, the optimal safety protection strategy is generated, which is conducive to ensuring that each detection point operates in the safest state and minimizes the risk.
[0011] In a preferred example of the present application, the historical state interval data of multiple safety detection devices of the boathouse are identified and obtained based on the historical state parameter set of the boathouse, and the working operation mode information of the multiple safety detection devices is obtained accordingly, specifically including: According to the historical status parameter set of the boathouse, the historical task execution information and the corresponding historical status parameters of each safety detection device within the historical monitoring time are obtained; According to the historical task execution information and the corresponding historical state parameters of each safety detection device, multiple historical detection time intervals are created; According to the plurality of historical monitoring time intervals, the historical task execution information and the corresponding historical state parameters of each safety detection device are divided based on the device identification, and a plurality of historical state interval data of each safety detection device are correspondingly obtained; Different working operation mode information of multiple safety detection devices is correspondingly determined according to the status data in the multiple historical status interval data.
[0012] By adopting the above-mentioned technical scheme, based on refined historical data analysis, it is beneficial to analyze the current status of the boathouse and the historical status of equipment use, so that the safety detection work is more in line with the actual equipment operation status, and the accuracy of safety detection assessment is improved; this application creates multiple historical detection time intervals, and segments the data of a long time period for processing, which is convenient for identifying the changing trends in different time periods, thereby improving the efficiency and accuracy of data analysis. At the same time, the historical status interval data obtained by dividing based on the equipment identification ensures that the historical data of each device can be analyzed separately, which is convenient for joint analysis and split tracking of the risk correlation relationship between each safety detection data, and effectively avoids the misjudgment of safety detection caused by data confusion. Then, by accurately locating the working operation mode information, it is beneficial to understand the working status of each equipment on the boathouse in different time periods (such as normal, warning, failure, etc.) according to the different working operation mode information of multiple safety detection devices in history, so as to more accurately evaluate the safety performance of the equipment and discover potential risks in advance.
[0013] In a preferred example of the present application, the associated risk factors include a hook locking risk factor, a rope tightening risk factor, a human and vehicle mistaken entry risk factor, and a fall prevention risk factor; the associated risk factors between the safety detection devices are calculated and determined based on the historical monitoring data set of the boathouse to obtain the risk factor correlation coefficients of all safety detection devices, specifically including: Based on the historical monitoring data set of the boathouse, the historical safety performance limit values and corresponding state change data of each safety detection device are obtained; The performance coefficient value of the associated risk factor of each safety detection device is determined by calculating the connection association relationship between each safety detection device and the corresponding state change data; Based on the historical safety performance limit values of each safety detection device and the performance coefficient values of the corresponding associated risk factors, the risk factor association coefficients of all safety detection devices are determined.
[0014] By adopting the above technical scheme, the present invention emphasizes the quantification of multiple related risk factors and the determination of risk factor correlation coefficients, and improves the scientificity and accuracy of risk assessment through data-driven methods, which not only enhances the intelligence level of the system, but also significantly improves the overall safety and reliability of the three-dimensional boathouse, ensuring the timely discovery and effective response to potential risks; not only quantifies the safety risk level of a single device, but also explains the mutual influence between different devices. By quantifying risk factors and their correlation coefficients, the system can more accurately evaluate the risk status of each safety detection device and generate the optimal safety protection strategy, which not only improves the overall safety of the system, but also enhances the ability to cope with complex environmental changes, ensuring the stable operation of the boathouse under various operating conditions.
[0015] In a preferred example of the present application: the method further includes: Based on formula (1), the associated risk factor of the safety detection device is constrained and calculated: R i =P total -P safe / P total ×W i +A(1) In the formula, R i Indicates the risk factor of the safety detection device with device identification i, P total It represents the total state parameter value of the boathouse, the comprehensive state score of all safety detection points, P safe represents the state parameter value corresponding to the safe state, W i It represents the importance weight of the safety detection device with device identification i. A represents the constant coefficient, which ranges from 0.02 to 0.05 and is used to adjust the sensitivity of the overall safety risk assessment.
[0016] By adopting the above technical solution, the scientific and quantitative constraint calculation of the associated risk factors of the safety detection device is emphasized through formula (1), which improves the sensitivity of risk assessment and highlights the risks of important equipment. It not only enhances the intelligence level of the system, but also improves the overall safety of the three-dimensional shipyard.
[0017] In a preferred example of the present application, the risk factor correlation coefficients of all safety detection devices are determined based on the historical safety performance limits of each safety detection device and the performance coefficient values of the corresponding associated risk factors, specifically including: using formula (2) to calculate the risk factor correlation coefficients of all safety detection devices: R coef,ij =C f,i ×P safe,i / ∑ k (C f,k ×P safe,k )(2) R coef,ij represents the risk factor correlation coefficient between equipment identification i and j, C f,i The performance coefficient value of the associated risk factor of the safety detection device with device identification i, P safe,i Represents the historical safety performance limit, C f,k The performance coefficient value representing the associated risk factor of all safety detection devices, P safe,k represents the historical safety performance limit of all safety detection devices, and k represents the total number of all safety detection devices.
[0018] By adopting the above technical solution, formula (2) accurately calculates the risk factor correlation coefficients of all safety detection devices, reveals the mutual influence between devices, and makes dynamic adjustments based on historical data. By quantifying the risk factor correlation coefficients, the safety detection system can reasonably allocate resources, centrally monitor high-risk areas, and improve the response speed and efficiency of the safety detection system.
[0019] In the second aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A safety detection system for a three-dimensional boathouse is used to execute the safety detection method for a three-dimensional boathouse as described above, and the system comprises: A design file parsing module, used to obtain a design file of a boathouse, and obtain design parameters of the boathouse according to the design file; A safety detection point positioning module is used to determine the positions of various safety detection points of different types of safety detection devices according to the design parameters of the boathouse; A plurality of safety detection devices are provided, which are respectively arranged at the boathouse based on the positions of all safety detection points and collect the state parameters of the boathouse; A comparison and analysis module, used to compare and analyze the design parameters with the state parameters, obtain safety detection results, and trigger corresponding early warning instructions or corresponding detection instructions according to the safety detection results; The security protection execution module is used to execute security protection measures based on the early warning instructions or detection instructions in a preset security management policy model.
[0020] By adopting the above technical scheme, the design file parsing module is responsible for obtaining the design files of the boat mooring house and obtaining the design parameters of the boat mooring house based on these files; the safety detection point positioning module determines the specific locations of different types of safety detection devices based on the design parameters of the boat mooring house, ensuring that each detection point can be reasonably configured; multiple safety detection devices are set in the boat mooring house based on the locations of all safety detection points, and the status parameters are collected in real time. The multi-point monitoring method enables the system to comprehensively monitor the operating status of the boat mooring house and discover potential risks in time; the comparison and analysis module compares and analyzes the design parameters with the status parameters, obtains the safety detection results, and triggers the corresponding early warning instructions or detection instructions according to the results. Through intelligent analysis, it realizes rapid response to abnormal situations and enhances the active protection capability of the system; the safety protection execution module executes specific protection measures based on the preset safety management strategy model, which not only considers static design parameters, but also combines dynamic operation records, making the safety management strategy more flexible and adaptable, ensuring the overall safety of the system.
[0021] In a preferred example of the present application: the design file parsing module specifically includes: A structural design file parsing submodule is used to obtain the design file of the boathouse, wherein the design file includes the structural design file and the safety detection device layout file; A physical structure parameter extraction submodule, for obtaining physical structure design parameters based on the structure design file according to the structure design file, wherein the physical structure design parameters include the size of the shipboard, the load-bearing capacity, the height of each layer and the layout position of the safety detection device; The safety detection device parameter extraction submodule is used to obtain the design parameters of the safety detection device according to the safety detection device layout file. The design parameters of the safety detection device include the position of the four-point independent anti-fall hook, the position of the anti-loose rope detector, the position of the human and vehicle misentry detection sensor, the position of the front and rear over-length detection sensors, the position of the full-length guide wheel anti-sway device and the position of the lower layer vehicle detection sensor.
[0022] By adopting the above technical solution, the design file parsing module was refined, including the structural design file parsing sub-module and the safety detection device parameter extraction sub-module. Through multi-level analysis, it was ensured that the system could fully obtain the physical structure design parameters of the boathouse and the specific layout of the safety detection device, providing more detailed data support for subsequent safety inspections.
[0023] In summary, the present application includes at least one of the following beneficial technical effects: 1. Multiple safety monitoring points are determined according to the design parameters of the boathouse, so that all possible risk points can be monitored, so that the detection coverage of safety detection is more comprehensive; by comparing and analyzing the design parameters and state parameters in real time based on the positions of all safety detection points, the safety detection results are quickly obtained, and early warning instructions or detection instructions are triggered accordingly, reducing the possibility of accidents. According to the early warning instructions or detection instructions, corresponding safety protection measures such as emergency stop and alarm notification are immediately executed, which is conducive to shortening the time difference from detection to response and improving the abnormal response speed when abnormal situations occur. The entire safety detection process of this application is highly automated, and users do not need to intervene frequently, which simplifies the operation process and realizes the overall improvement of the safety management level of the three-dimensional boathouse; 2. The present invention emphasizes the quantification of multiple related risk factors and the determination of risk factor correlation coefficients. It improves the scientificity and accuracy of risk assessment through a data-driven approach, which not only enhances the intelligence level of the system, but also significantly improves the overall safety and reliability of the three-dimensional boathouse, ensuring the timely discovery and effective response to potential risks; it not only quantifies the safety risk level of a single device, but also explains the mutual influence between different devices. By quantifying risk factors and their correlation coefficients, the system can more accurately evaluate the risk status of each safety detection device and generate the optimal safety protection strategy, which not only improves the overall safety of the system, but also enhances the ability to cope with complex environmental changes and ensure the stable operation of the boathouse under various operating conditions. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 This is a flow chart of a safety detection method applied to a stereoscopic boathouse in an embodiment of the present application; Figure 2 It is a schematic diagram of the overall installation structure of a boathouse applied to a safety detection method of a three-dimensional boathouse in one embodiment of the present application; Figure 3 It is a top view of a boathouse in a safety detection method applied to a three-dimensional boathouse in one embodiment of the present application; Figure 4 It is a side view of a boathouse in a safety detection method applied to a three-dimensional boathouse in one embodiment of the present application; Figure 5 yes Figure 3 and Figure 4 Partial enlarged images of A, B, and C; Figure 6 This is another flow chart of a safety detection method applied to a stereoscopic boathouse in one embodiment of the present application. DETAILED DESCRIPTION
[0025] The present application is further described in detail below in conjunction with the accompanying drawings.
[0026] In one embodiment, if Figures 1 to 5 As shown, the present application discloses a safety detection method for a three-dimensional boathouse, which specifically includes the following steps: S1: Obtain the design document of the boathouse, and obtain the design parameters of the boathouse according to the design document.
[0027] In this embodiment, the boathouse is a three-dimensional boathouse.
[0028] Specifically, refer to Figures 2 to 5 , Figures 2 to 5 The schematic diagram of the installation structure of the boathouse and various types of safety detection devices is shown in step S1, which specifically includes: S11: Obtain design documents of the boathouse, which include structural design documents and safety detection device layout documents.
[0029] S12: According to the structural design file, physical structural design parameters based on the structural design file are obtained, where the physical structural design parameters include the size of the shipboard, the load-bearing capacity, the height of each layer, and the layout position of the safety detection device.
[0030] S13: According to the layout file of the safety detection device, the design parameters of the safety detection device are obtained. The design parameters of the safety detection device include the position of the four-point independent anti-fall hook, the position of the anti-loose rope detector, the position of the human and vehicle mistaken entry detection sensor, the position of the front and rear over-length detection sensors, the position of the full-range guide wheel anti-sway device and the position of the lower layer vehicle detection sensor.
[0031] Specifically, the installation positions of various types of safety detection devices and the installation structure of the boathouse can refer to Figure 2 and Figure 5 , where the boat garage is a structural diagram of a boat garage with 6 parking spaces on the second floor.
[0032] S2: Determine the locations of various safety detection points of different types of safety detection devices based on the design parameters of the boathouse.
[0033] In this embodiment, different types of safety detection devices include a four-point independent anti-fall hook device, an anti-loose rope detection device, a human and vehicle mistaken entry detection device, a front and rear over-length detection device, a full-length guide wheel anti-sway device and a lower-level vehicle detection device.
[0034] Specifically, the specific locations of various detection points of different types of safety detection devices are determined in combination with the actual structure and operation requirements of the boathouse. For example, the four-point independent anti-fall hooks should be installed at the four corners of the shipboard, and the anti-loose rope detector should be installed at the key stress points of the rope, etc. The determined detection point locations are drawn on the plan of the boathouse to form a detailed detection point layout diagram to guide the actual installation work.
[0035] S3: Based on the locations of all safety detection points, collect the state parameters of the boathouse.
[0036] In this embodiment, using the installed safety detection device, the status parameters of the boathouse include temperature, humidity, load, and tilt angle. Through the coordinated work of multiple safety detection devices, comprehensive real-time monitoring of the boathouse is achieved, and potential risks are discovered in time.
[0037] S4: Compare and analyze the design parameters with the state parameters to obtain the safety detection results, and trigger the corresponding early warning instructions or the corresponding detection instructions according to the safety detection results.
[0038] In this embodiment, the content of the safety detection results includes all design parameters and status parameters involved in the comparison, such as the size of the carrier board, the load-bearing capacity, the height of each layer, the locking status of the hook, the tightness of the rope, etc., and displays the specific value of each comparison item, marking the exceeded or abnormal situation.
[0039] Specifically, the design parameters are obtained from the design documents of the boathouse, including but not limited to the size of the boat-carrying plate, load-bearing capacity, height of each layer, layout position of the safety detection device, etc. At the same time, the state parameters of the boathouse are collected in real time from each safety detection device, such as temperature, humidity, load, tilt angle, rope tightness, sensor detection results, etc.; then the collected state parameters are preliminarily processed, such as filtering, calibration, removal of outliers, etc.; the design parameters are matched with the state parameters one by one to ensure that the two are compared in the same time period and position. For example, the load-bearing capacity of the boat-carrying plate should be compared with the actual load, and the position of the four-point independent anti-fall hook should be compared with the locking state of the hook. At the same time, the parameters are classified and compared according to the parameter type (such as physical structure parameters, safety performance parameters, operating state parameters, etc.) to ensure that the parameters under each category can be reasonably evaluated.
[0040] When judging safety risks, it is necessary to set a reasonable threshold range for each design parameter in advance. These thresholds can be determined based on historical data, industry standards or expert experience. For example, if the maximum allowable load of a shipboard is 5 tons, its threshold range may be 4.8 to 5.2 tons. Through comparative analysis, it is determined whether the state parameter exceeds the threshold range of the design parameter. If it exceeds, it is marked as an abnormal situation and the specific deviation value is recorded. Then, a machine learning algorithm or expert system is used to perform intelligent analysis on the comparison results to identify potential risk patterns and trends. For example, through historical data analysis, it is found that the temperature fluctuations in a certain area are large, which may pose a safety hazard.
[0041] Furthermore, the safety inspection results can be displayed in the form of charts to intuitively show the comparison results and risk distribution, or generate heat maps to show the risk levels in different areas. Combined with the BIM three-dimensional model of the boat mooring house, the location and status of each safety inspection point can be intuitively displayed, which is conducive to users obtaining real-time dynamics of the boat mooring house and improving the safety management level of the boat mooring house and the intelligence level of the safety inspection system.
[0042] S5: In the preset security management strategy model, security protection measures are executed based on early warning instructions or detection instructions.
[0043] In this embodiment, the safety management strategy model is a set of rules, algorithms and decision-making frameworks used to guide and optimize the safety detection and protection measures of the three-dimensional boathouse. It can ensure that the boathouse can maintain the optimal safety state under various operating conditions through intelligent analysis and dynamic adjustment based on historical data, real-time monitoring data and expert experience; protection measures include closing dangerous areas, starting backup equipment, and sounding alarms.
[0044] In one embodiment, if Figure 6 As shown, a safety detection method applied to a stereoscopic boathouse also includes: S10: Based on the historical status parameter set of the boathouse, identify and obtain the historical status interval data of multiple safety detection devices of the boathouse, and obtain the corresponding working operation mode information of the multiple safety detection devices; the working operation mode information includes multiple working operation stage intervals corresponding to different safety levels, and the safety detection device associated equipment identification.
[0045] In this embodiment, the historical status parameter set includes the operating data of all safety detection devices in the boat mooring house during the historical monitoring period. The historical status interval data refers to the time periods divided according to the historical task execution information and status parameters. Each time period represents a specific operation cycle or event. The working operation mode information describes the operating status of each safety detection device in different time periods, such as normal, warning, fault, etc. These modes reflect the performance of the equipment under different conditions. According to the risk assessment results, the working operation modes are divided into different safety levels, such as low risk, medium risk and high risk.
[0046] S20: Based on the device identification, a historical operation record data set of each safety detection device is obtained, and training optimization based on the safety threshold is performed in a preset initial safety management policy model to obtain an optimized safety management policy model.
[0047] In this embodiment, the historical operation record data set includes the operation records of each safety detection device in the past period of time, such as the start time, the shutdown time, the number of alarms, etc.
[0048] S30: Based on the historical monitoring data set of the boathouse, the associated risk factors between the various safety detection devices are calculated and determined to obtain the risk factor association coefficients of all the safety detection devices.
[0049] In this embodiment, the associated risk factors describe the mutual influence between the various safety detection devices, such as the hook locking risk factor, the rope tightening risk factor, the human and vehicle misentry risk factor and the fall prevention risk factor. The risk factor association coefficient quantifies the association relationship between the various safety detection devices and reflects the degree of risk transfer between them.
[0050] S40: According to the risk factor correlation coefficients of all safety detection devices and the safety parameter adjustment strategies corresponding to the historical operation record data set, the minimum safety thresholds of each safety detection device in each working operation stage interval are determined to generate the optimal safety protection strategy.
[0051] In this embodiment, the risk factor correlation coefficient quantifies the correlation relationship between various safety detection devices and reflects the degree of risk transfer between them.
[0052] S50: Perform safety inspection on the status of each safety inspection device of the boathouse according to the optimal safety protection strategy.
[0053] In this embodiment, the risk factor correlation coefficient and the safety parameter adjustment strategy are comprehensively considered to generate the best safety protection strategy. According to the best safety protection strategy, the status of each safety detection device of the boat garage is monitored and evaluated in real time.
[0054] In one embodiment, in step S10, based on the historical state parameter set of the boathouse, the historical state interval data of multiple safety detection devices of the boathouse are identified and obtained, and the working operation mode information of the multiple safety detection devices is obtained accordingly, specifically including: S101: According to the historical status parameter set of the boathouse, historical task execution information and corresponding historical status parameters of each safety detection device within the historical monitoring time are obtained.
[0055] Specifically, the historical status parameter set includes the operating status data of all safety detection devices in the boat garage during the historical monitoring period; the historical task execution information records the specific operation status of each safety detection device in different time periods, such as start time, shutdown time, number of alarms, etc.
[0056] S102: Creating a plurality of historical detection time intervals according to historical task execution information and corresponding historical status parameters of each safety detection device.
[0057] Specifically, the historical detection time interval refers to a time period divided according to historical task execution information and state parameters, and each time period represents a specific operation cycle or event.
[0058] S103: dividing the historical task execution information and the corresponding historical status parameters of each safety detection device according to the multiple historical monitoring time intervals and based on the device identification, and correspondingly obtaining multiple historical status interval data of each safety detection device.
[0059] In this embodiment, the historical status interval data is detailed historical task execution information and status parameters divided by device identification for each safety detection device within multiple historical monitoring time intervals.
[0060] S104: Determine different working operation mode information of multiple safety detection devices according to the status data in the multiple historical status interval data.
[0061] In this embodiment, the working operation mode information describes the operating status of each safety detection device in different time periods, such as normal, warning, fault, etc., reflecting the performance of the device under different conditions.
[0062] Specifically, based on the status data in multiple historical status interval data, pattern recognition algorithms (such as cluster analysis, decision trees, etc.) are used to identify different working operation modes, and the identified working operation modes are classified, such as normal mode, warning mode, fault mode, etc.
[0063] In one embodiment, in step S30, based on the historical monitoring data set of the boathouse, the associated risk factors between the various safety detection devices are calculated and determined to obtain the risk factor association coefficients of all safety detection devices, specifically including: S301: Based on the historical monitoring data set of the boathouse, the historical safety performance limit values and corresponding state change data of each safety detection device are obtained.
[0064] In this embodiment, the associated risk factors include hook locking risk factor, rope tightening risk factor, human and vehicle misentry risk factor and fall prevention risk factor; the historical monitoring data set contains real-time monitoring data of all safety detection devices in the boat garage during the historical monitoring period; the historical safety performance limit refers to the safety threshold or limit value specified in the design and operation specifications of each safety detection device, such as maximum load-bearing capacity, minimum locking force, etc. The state change data records the state changes of the safety detection device in different time periods, such as temperature fluctuations, load changes, sensor alarms, etc.
[0065] S302: Calculate and determine the performance coefficient value of the associated risk factor of each safety detection device according to the connection association relationship between each safety detection device and the corresponding state change data.
[0066] Specifically, the connection association relationship describes the physical connection and logical association between each safety detection device, such as the connection between the hook and the rope, the relationship between the sensor and the control system, etc.; the performance coefficient value quantifies the influence of each associated risk factor on the performance of the safety detection device, reflecting its performance under different conditions.
[0067] S303: Based on the historical safety performance limit values of each safety detection device and the performance coefficient values of the corresponding associated risk factors, determine the risk factor association coefficients of all safety detection devices.
[0068] Specifically, the historical safety performance limit refers to the safety threshold or limit value specified in the design and operating specifications of each safety detection device; the performance coefficient value quantifies the degree of influence of each associated risk factor on the performance of the safety detection device.
[0069] In this embodiment, the associated risk factor of the safety detection device is constrained and calculated based on formula (1): R i =P total -P safe / P total ×W i +A(1) In the formula, R i Indicates the risk factor of the safety detection device with device identification i, P total It represents the total state parameter value of the boathouse, the comprehensive state score of all safety detection points, P safe represents the state parameter value corresponding to the safe state, W i It represents the importance weight of the safety detection device with device identification i. A represents the constant coefficient, which ranges from 0.02 to 0.05 and is used to adjust the sensitivity of the overall safety risk assessment.
[0070] For example, based on the historical safety performance limit values of each safety detection device and the performance coefficient values of the corresponding associated risk factors, the risk factor correlation coefficients of all safety detection devices are determined, specifically including: Formula (2) is used to calculate the risk factor correlation coefficient of all safety detection devices: R coef,ij =C f,i ×P safe,i / ∑ k (C f,k ×P safe,k ) R coef,ij represents the risk factor correlation coefficient between equipment identification i and j, C f,i The performance coefficient value of the associated risk factor of the safety detection device with device identification i, Psafe,i Represents the historical safety performance limit, C f,k The performance coefficient value representing the associated risk factor of all safety detection devices, P safe,k represents the historical safety performance limit of all safety detection devices, and k represents the total number of all safety detection devices.
[0071] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0072] In one embodiment, a safety detection system applied to a three-dimensional boathouse is provided. The safety detection system applied to a three-dimensional boathouse corresponds to a safety detection method applied to a three-dimensional boathouse in the above embodiment.
[0073] A safety detection system for a three-dimensional boathouse includes a design file parsing module, a safety detection point positioning module, a safety detection device, a comparison analysis module, and a safety protection execution module. The detailed description of each functional module is as follows: The design file parsing module is used to obtain the design file of the boat mooring house and obtain the design parameters of the boat mooring house according to the design file; the safety detection point positioning module is used to determine the position of each safety detection point of different types of safety detection devices according to the design parameters of the boat mooring house; There are multiple safety detection devices, which are respectively arranged at the boathouse based on the positions of all safety detection points and collect the state parameters of the boathouse; The comparison and analysis module is used to compare and analyze the design parameters with the state parameters, obtain the safety detection results, and trigger the corresponding early warning instructions or corresponding detection instructions according to the safety detection results; The security protection execution module is used to execute security protection measures based on early warning instructions or detection instructions in a preset security management policy model.
[0074] Optionally, the design file parsing module specifically includes: The structural design file parsing submodule is used to obtain the design files of the boathouse, which include the structural design files and the safety detection device layout files; The physical structure parameter extraction submodule is used to obtain the physical structure design parameters based on the structure design file according to the structure design file. The physical structure design parameters include the size of the carrier plate, the load-bearing capacity, the height of each layer and the layout position of the safety detection device; the safety detection device parameter extraction submodule is used to obtain the safety detection device design parameters according to the safety detection device layout file. The safety detection device design parameters include the position of the four-point independent anti-fall hook, the position of the anti-loose rope detector, the position of the human and vehicle misentry detection sensor, the position of the front and rear over-length detection sensors, the position of the full-range guide wheel anti-sway device and the position of the lower layer vehicle detection sensor.
[0075] For the specific limitations of the safety detection system applied to the three-dimensional boathouse, please refer to the limitations of a safety detection method applied to the three-dimensional boathouse mentioned above, which will not be repeated here; the various modules in the above-mentioned safety detection system applied to the three-dimensional boathouse can be implemented in whole or in part by software, hardware and their combination; the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above modules.
[0076] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.
[0077] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. A safety detection method applied to a three-dimensional boathouse, characterized in that: include: Obtaining a design document of a boathouse, and obtaining design parameters of the boathouse according to the design document; Determining the positions of various safety detection points of different types of safety detection devices according to the design parameters of the boathouse; Based on the positions of all safety detection points, collecting the state parameters of the boathouse; Compare and analyze the design parameters with the state parameters to obtain safety detection results, and trigger corresponding early warning instructions or corresponding detection instructions according to the safety detection results; In a preset security management policy model, security protection measures are executed based on the early warning instruction or the detection instruction.
2. A safety detection method for a three-dimensional boathouse according to claim 1, characterized in that: The step of obtaining the design file of the boathouse and obtaining the design parameters of the boathouse according to the design file specifically includes: Obtaining design documents of the boathouse, wherein the design documents include structural design documents and safety detection device layout documents; According to the structural design file, obtaining physical structural design parameters based on the structural design file, the physical structural design parameters including the size of the shipboard, the load-bearing capacity, the height of each layer and the layout position of the safety detection device; According to the safety detection device layout file, the design parameters of the safety detection device are obtained, and the design parameters of the safety detection device include the position of the four-point independent anti-fall hook, the position of the anti-loose rope detector, the position of the human and vehicle misentry detection sensor, the position of the front and rear over-length detection sensors, the position of the full-length guide wheel anti-sway device and the position of the lower layer vehicle detection sensor.
3. A safety detection method for a three-dimensional boathouse according to claim 1, characterized in that: The method further includes: identifying and acquiring historical state interval data of multiple safety detection devices of the boat garage according to the historical state parameter set of the boat garage, and correspondingly obtaining the working operation mode information of the multiple safety detection devices; the working operation mode information includes multiple working operation stage intervals corresponding to different safety levels, and the safety detection device is associated with a device identifier; Based on the device identification, a historical operation record data set of each safety detection device is obtained, and training optimization based on the safety threshold is performed in a preset initial safety management strategy model to obtain an optimized safety management strategy model; Based on the historical monitoring data set of the boathouse, the correlation risk factors between various safety detection devices are calculated and determined, and the risk factor correlation coefficients of all safety detection devices are obtained; According to the risk factor correlation coefficients of all safety detection devices and the safety parameter adjustment strategy corresponding to the historical operation record data set, the minimum safety threshold value of each safety detection device in each working operation stage interval is determined to generate the optimal safety protection strategy; The status of each safety detection device of the boat garage is safety detected according to the optimal safety protection strategy.
4. A safety detection method for a three-dimensional boathouse according to claim 1, characterized in that: The method of identifying and acquiring historical status interval data of multiple safety detection devices of the boathouse based on the historical status parameter set of the boathouse, and correspondingly obtaining the working operation mode information of the multiple safety detection devices, specifically includes: According to the historical status parameter set of the boathouse, the historical task execution information and the corresponding historical status parameters of each safety detection device within the historical monitoring time are obtained; According to the historical task execution information and the corresponding historical state parameters of each safety detection device, multiple historical detection time intervals are created; According to the plurality of historical monitoring time intervals, the historical task execution information and the corresponding historical state parameters of each safety detection device are divided based on the device identification, and a plurality of historical state interval data of each safety detection device are correspondingly obtained; Different working operation mode information of multiple safety detection devices is correspondingly determined according to the status data in the multiple historical status interval data.
5. A safety detection method for a three-dimensional boathouse according to claim 3, characterized in that: The associated risk factors include hook locking risk factor, rope tightening risk factor, human-vehicle mistaken entry risk factor and fall prevention risk factor; The method of calculating and determining the correlation risk factors between various safety detection devices based on the historical monitoring data set of the boat mooring house to obtain the risk factor correlation coefficients of all safety detection devices specifically includes: Based on the historical monitoring data set of the boathouse, the historical safety performance limit values and corresponding state change data of each safety detection device are obtained; The performance coefficient value of the associated risk factor of each safety detection device is determined by calculating the connection association relationship between each safety detection device and the corresponding state change data; Based on the historical safety performance limit values of each safety detection device and the performance coefficient values of the corresponding associated risk factors, the risk factor association coefficients of all safety detection devices are determined.
6. A safety detection method for a three-dimensional boathouse according to claim 3, characterized in that: The method further includes: performing constraint calculation on the associated risk factor of the safety detection device based on formula (1): R i =P total -P safe / P total ×W i +A (1) In the formula, R i Indicates the risk factor of the safety detection device with device identification i, P total It represents the total state parameter value of the boathouse, the comprehensive state score of all safety detection points, P safe represents the state parameter value corresponding to the safe state, W i It represents the importance weight of the safety detection device with device identification i. A represents the constant coefficient, which ranges from 0.02 to 0.05 and is used to adjust the sensitivity of the overall safety risk assessment.
7. A safety detection method for a three-dimensional boathouse according to claim 5, characterized in that: The step of determining the risk factor correlation coefficients of all safety detection devices based on the historical safety performance limits of each safety detection device and the performance coefficient values of the corresponding associated risk factors specifically includes: Formula (2) is used to calculate the risk factor correlation coefficient of all safety detection devices: R coef,ij =C f,i ×P safe,i / ∑ k (C f,k ×P safe,k ) (2) R coef,ij represents the risk factor correlation coefficient between equipment identification i and j, C f,i The performance coefficient value of the associated risk factor of the safety detection device with device identification i, P safe,i Represents the historical safety performance limit, C f,k The performance coefficient value representing the associated risk factor of all safety detection devices, P safe,k represents the historical safety performance limit of all safety detection devices, and k represents the total number of all safety detection devices.
8. A safety detection system for a three-dimensional boathouse, characterized in that: The system is used to execute a safety detection method for a stereoscopic boathouse as described in any one of claims 1 to 7, the system comprising: A design file parsing module, used to obtain a design file of a boathouse, and obtain design parameters of the boathouse according to the design file; A safety detection point positioning module is used to determine the positions of various safety detection points of different types of safety detection devices according to the design parameters of the boathouse; A plurality of safety detection devices are provided, which are respectively arranged at the boathouse based on the positions of all safety detection points and collect the state parameters of the boathouse; A comparison and analysis module, used to compare and analyze the design parameters with the state parameters, obtain safety detection results, and trigger corresponding early warning instructions or corresponding detection instructions according to the safety detection results; The security protection execution module is used to execute security protection measures based on the early warning instructions or detection instructions in a preset security management policy model.
9. A safety detection system for a three-dimensional boathouse according to claim 8, characterized in that: The design file parsing module specifically includes: A structural design file parsing submodule is used to obtain the design file of the boathouse, wherein the design file includes the structural design file and the safety detection device layout file; A physical structure parameter extraction submodule, for obtaining physical structure design parameters based on the structure design file according to the structure design file, wherein the physical structure design parameters include the size of the shipboard, the load-bearing capacity, the height of each layer and the layout position of the safety detection device; The safety detection device parameter extraction submodule is used to obtain the design parameters of the safety detection device according to the safety detection device layout file. The design parameters of the safety detection device include the position of the four-point independent anti-fall hook, the position of the anti-loose rope detector, the position of the human and vehicle misentry detection sensor, the position of the front and rear over-length detection sensors, the position of the full-length guide wheel anti-sway device and the position of the lower layer vehicle detection sensor.