A port crane operation safety monitoring platform

Abstract

The present invention discloses a port crane operation safety monitoring platform, which relates to the technical field of crane safety monitoring. The platform includes: a key monitoring point extraction module, which is used to extract multiple key monitoring points; a safety space construction module, which is used to construct collision safety constraints, deformation allowable space and sensitivity allowable space; a multi-dimensional safety assessment channel construction module, which is used to construct a multi-dimensional safety assessment channel; a displacement monitoring module, which is used to perform displacement monitoring of key parts; a synchronous safety assessment module, which is used to perform synchronous analysis of collision, deformation and control sensitivity; and a safety warning module, which is used to perform crane safety warning. The present invention solves the technical problem in the prior art that crane operation safety monitoring requires real-time processing and analysis of a large amount of data, and the huge amount of data affects the response rate of safety monitoring, and achieves the technical effect of performing multi-channel synchronous safety analysis based on key monitoring data and improving the response rate of safety monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of crane safety monitoring, and in particular to a port crane operation safety monitoring platform. Background Art

[0002] Port cranes play a vital role in modern port logistics. With the continuous growth of global trade, the operating frequency and load of port cranes have also increased. In order to ensure the safe and efficient operation of port cranes, they need to be comprehensively monitored and managed. However, crane operation safety monitoring requires real-time processing and analysis of a large amount of data to ensure timely detection and response to abnormal situations, which places high demands on the performance and efficiency of the data processing system. Existing safety monitoring technologies mostly perform mixed monitoring of multiple sensor data, resulting in data redundancy and poor response rate. Summary of the invention

[0003] The present application provides a port crane operation safety monitoring platform, which is used to solve the technical problem in the prior art that crane operation safety monitoring requires real-time processing and analysis of a large amount of data, and the huge amount of data affects the response rate of safety monitoring.

[0004] In view of the above problems, the present application provides a port crane operation safety monitoring platform.

[0005] The present application provides a port crane operation safety monitoring platform, the platform comprising: a key monitoring point extraction module, the key monitoring point extraction module is used to extract multiple key monitoring points based on the basic structure information of the target crane and combined with real-time lifting task information; a safety space construction module, the safety space construction module is used to construct collision safety constraints, deformation allowable space and sensitivity allowable space for the multiple key monitoring points; a multi-dimensional safety assessment channel construction module, the multi-dimensional safety assessment channel construction module is used to construct a multi-dimensional safety assessment channel through the collision safety constraints, deformation allowable space and sensitivity allowable space, the multi-dimensional safety assessment channel includes a collision safety assessment channel, a structural safety assessment channel and an electrical safety assessment channel; a displacement monitoring module, the displacement monitoring module is used to deploy position sensing modules based on the multiple key monitoring points, perform displacement monitoring of key parts, and obtain displacement monitoring results after interference correction; a synchronous safety assessment module, the synchronous safety assessment module is used to perform synchronous analysis of collision, deformation and control sensitivity through the multi-dimensional safety assessment channel according to the displacement monitoring results, and generate a comprehensive safety assessment result; a safety warning module, the safety warning module is used to perform crane safety warning based on the comprehensive safety assessment result.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The present application provides a port crane operation safety monitoring platform, which relates to the technical field of crane safety monitoring. Through the basic structure information and real-time lifting task information of the target crane, multiple key monitoring points are extracted, and collision safety constraints, deformation allowable space and sensitivity allowable space are set accordingly, and a multi-dimensional safety assessment channel is constructed. Through displacement monitoring and interference correction of key parts, displacement monitoring results are obtained. Through the multi-dimensional safety assessment channel, synchronous analysis and safety warning of collision, deformation and control sensitivity are performed, which solves the technical problem in the prior art that the safety monitoring of crane operations requires real-time processing and analysis of a large amount of data, and the huge amount of data affects the response rate of safety monitoring, and realizes the technical effect of multi-channel synchronous safety analysis based on key monitoring data and improving the response rate of safety monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A schematic diagram of the structure of a port crane operation safety monitoring platform provided in an embodiment of the present application;

[0010] Figure 2 A schematic diagram of a process for constructing collision safety constraints, deformation allowable space and sensitivity allowable space in a port crane operation safety monitoring platform provided in an embodiment of the present application;

[0011] Figure 3 A schematic diagram of a process for obtaining displacement monitoring results in a port crane operation safety monitoring platform provided in an embodiment of the present application.

[0012] Explanation of the accompanying drawings: key monitoring point extraction module 11, safe space construction module 12, multi-dimensional safety assessment channel construction module 13, displacement monitoring module 14, synchronous safety assessment module 15, safety warning module 16. DETAILED DESCRIPTION

[0013] The present application provides a port crane operation safety monitoring platform, which is used to solve the technical problem in the prior art that crane operation safety monitoring requires real-time processing and analysis of a large amount of data, and the huge amount of data affects the response rate of safety monitoring.

[0014] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0015] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices.

[0016] Example

[0017] like Figure 1 As shown, the present application provides a port crane operation safety monitoring platform, the platform comprising:

[0018] The key monitoring point extraction module 11 is used to extract multiple key monitoring points based on the infrastructure information of the target crane and in combination with the real-time lifting task information.

[0019] Furthermore, the key monitoring point extraction module 11 is also used to perform the following steps:

[0020] P11: Obtain the infrastructure information of the target crane, including component specification information and connection point characteristics; P12: Based on the infrastructure information, perform stress-strain analysis under various working conditions to obtain multiple weak area sets; P13: Receive real-time lifting task information, including but not limited to operation type information, load information, working scope information and environmental requirement information; P14: According to the real-time lifting task information, parse and generate multiple target operating conditions; P15: Through the multiple target operating conditions, traverse and match the multiple weak area sets to obtain multiple target weak area sets; P16: Fusion and extract the multiple target weak area sets to obtain multiple key monitoring points, and the multiple key monitoring points include but are not limited to high stress points, key moving parts, load key points, and environmental impact points.

[0021] It should be understood that the key monitoring point extraction module 11 of the present application combines the basic structure information of the target crane with the real-time lifting task information to accurately identify the parts that need to be monitored. Specifically, the module obtains the basic structure information of the target crane through the data interface or directly from the crane management system. This information includes but is not limited to the specifications of each component (such as material, size, load-bearing capacity), connection point characteristics (such as connection method, tightening state, fatigue life prediction), etc. This information is the basis for structural analysis and identification of weak areas.

[0022] Furthermore, based on the basic structure information, finite element analysis (FEA), material mechanics, etc. are used to perform stress and strain analysis under various working conditions. By simulating the force of the crane under different operating conditions, the stress and strain distribution of each component is calculated, thereby identifying a set of weak areas that may appear under different working conditions. These weak areas are the key points where problems may occur during the operation of the crane.

[0023] Furthermore, the crane receives in real time the lifting task information input by the operation scheduling system or the operator, including but not limited to the operation type information, load information, working scope information and environmental requirement information. The operation type information refers to the specific task type currently performed by the crane (such as container loading and unloading, bulk cargo handling, etc.), the load information includes the weight and shape of the cargo carried by the crane, the working scope information involves the working area and moving range of the crane, and the environmental requirement information includes external environmental factors such as weather conditions, wind speed and direction.

[0024] Furthermore, based on the received real-time lifting task information, multiple target operating conditions are parsed and generated. Target operating conditions refer to specific operating scenarios that a crane may encounter under specific tasks and environmental conditions, such as operating positions and moving paths under different loads. Each condition contains specific conditions and requirements that a crane may encounter when performing a specific task, providing a clear framework for subsequent safety assessments. At the same time, the multiple target operating conditions parsed are traversed and matched with the multiple weak area sets identified previously to find weak areas that may be subject to greater stress or deformation under the specific conditions of the current lifting task, namely, the target weak area set. Through this matching method, the parts that require special attention in the current operation can be located more accurately.

[0025] Finally, multiple target weak area sets from different target operating conditions are fused and extracted, and overlapping target weak areas are merged. Based on the stress level, deformation potential, movement characteristics and environmental factors of each merged area, multiple key monitoring points are determined. These points include but are not limited to high stress points (such as stress concentration areas), key moving parts (such as booms and legs), load critical points (such as hooks and rigging connections), and environmental impact points (such as areas susceptible to wind loads). The establishment of these key monitoring points provides clear goals and directions for subsequent displacement monitoring and safety assessments.

[0026] The safety space construction module 12 is used to construct collision safety constraints, deformation allowable space and sensitivity allowable space for the multiple key monitoring points.

[0027] Further, such as Figure 2 As shown, the safety space construction module 12 is also used to perform the following steps:

[0028] P21: Based on the target operating environment of the target crane, environmental obstacles are identified and a three-dimensional model of the operating environment is constructed, wherein the three-dimensional model of the operating environment includes fixed obstacle information and mobile obstacle information; P22: A three-dimensional equipment model of the target crane is constructed, and after being merged with the three-dimensional model of the operating environment, an operating collision simulation is performed in combination with the motion characteristics of the crane, and based on the collision simulation results, the collision information of the multiple key monitoring points is extracted to generate the collision safety constraints; P23: Based on the material information of each key part of the target crane, material property analysis is performed to obtain a material property set; P24: For the multiple key monitoring points, stress-strain limit values ​​are extracted, and in combination with the material property set, the deformation allowable range of each key part is determined to generate the deformation allowable space; P25: Based on the control system response characteristics and control accuracy of the target crane, the sensitivity range of the system is determined to generate the sensitivity allowable space.

[0029] Optionally, the safety space construction module 12 of the present application is responsible for constructing accurate safety index space for multiple key monitoring points, including collision safety constraints, deformation allowable space and sensitivity allowable space, to ensure the safety and stability of the crane during operation. Specifically, firstly, based on the target operating environment of the target crane, fixed obstacles (such as buildings, dock facilities) and mobile obstacles (such as other lifting equipment, transport vehicles, personnel) in the environment are identified using sensor technologies such as lidar and cameras. Subsequently, a detailed three-dimensional model of the operating environment is constructed using three-dimensional modeling technology. This model not only contains basic information such as the location and size of obstacles, but also takes into account their relative positions and possible dynamic changes, which can provide an accurate scenario basis for subsequent collision simulations.

[0030] Furthermore, a 3D model of the target crane is constructed, which describes in detail the various components of the crane and their connections. The 3D model of the equipment is integrated with the 3D model of the operating environment to form a complete operating scene model, and the operation collision simulation is performed in combination with the motion characteristics of the crane. By simulating the motion trajectory of the crane under different operating conditions, analyzing the collision risk between it and environmental obstacles, extracting the collision information of each key monitoring point, and generating collision safety constraints. The collision safety constraints define the safe distance and operating range that the crane must comply with during operation to prevent collision accidents.

[0031] Furthermore, in order to determine the allowable deformation space of the crane, the module needs to have an in-depth understanding of the material properties of its key parts. By consulting the material database, conducting material tests, or using data provided by the manufacturer, the material property set of each key part is obtained. These properties include but are not limited to the elastic modulus, yield strength, fracture toughness, etc. of the material. Subsequently, the stress and strain limit values ​​are extracted for multiple key monitoring points. These limit values ​​are key parameters to ensure that the components are not damaged under normal working conditions. Combining the material property set and the stress and strain limit values, the deformation allowable range of each key part is determined using material mechanics and structural analysis technology. This range defines the maximum deformation allowed for the component when subjected to external forces to ensure its structural integrity and functional stability. Finally, the deformation allowable space is generated as an important reference for safety monitoring.

[0032] Finally, based on the control system response characteristics and control accuracy of the target crane, the sensitivity range of the system is determined. The control system response characteristics include the delay of control signal transmission, control accuracy, and the response speed of the actuator. Combined with these characteristics, the sensitivity changes of the control system under different operating conditions are analyzed for each key monitoring point to generate the sensitivity tolerance space. The sensitivity tolerance space defines the allowable deviation range of the control system under different operating conditions. In actual operation, the control system needs to work within this sensitivity range to ensure the safety and operating efficiency of the crane.

[0033] A multivariate safety assessment channel construction module 13 is used to construct a multivariate safety assessment channel through the collision safety constraint, deformation allowable space and sensitivity allowable space. The multivariate safety assessment channel includes a collision safety assessment channel, a structural safety assessment channel and an electrical safety assessment channel.

[0034] Specifically, the multi-dimensional safety assessment channel construction module 13 of the present application constructs a multi-dimensional safety assessment system including a collision safety assessment channel, a structural safety assessment channel and an electrical safety assessment channel by integrating collision safety constraints, deformation allowable space and sensitivity allowable space.

[0035] First, a collision safety assessment channel is constructed based on the collision safety constraints generated previously. The collision safety constraints define the safe distance and operating range that the crane must comply with during operation. Sensors are installed at key monitoring points to monitor the distance between the crane and surrounding fixed and moving obstacles in real time. When the crane approaches the collision safety constraint boundary, the system automatically generates an alarm to prompt the operator to take appropriate measures to avoid a collision accident.

[0036] Next, the deformation allowable space is used to construct a structural safety assessment channel. The deformation allowable space defines the maximum deformation range allowed for each key part under normal operating conditions. By installing stress and strain sensors at key monitoring points, the stress and strain conditions of each part are monitored in real time to ensure that they are within the allowable range. When the monitoring data approaches or exceeds the deformation allowable space, the system will issue an alarm to prompt the operator to conduct inspections and maintenance to prevent structural damage and accidents.

[0037] Finally, an electrical safety assessment channel is constructed based on the sensitivity tolerance space. The sensitivity tolerance space defines the allowable deviation range of the control system under different operating conditions. By installing electrical sensors at key monitoring points, the transmission quality of the control signal, the response speed of the actuator, and the control accuracy are monitored in real time. Combined with the response characteristics of the control system, its sensitivity changes are analyzed to ensure that the control system operates within a stable range. When the response of the control system is detected to exceed the sensitivity tolerance space, the system will generate an alarm to prompt the operator to adjust the control parameters or perform equipment maintenance.

[0038] The displacement monitoring module 14 is used to deploy position sensing modules based on the multiple key monitoring points, perform displacement monitoring of key parts, and obtain displacement monitoring results after interference correction.

[0039] Further, such as Figure 3 As shown, the safety space construction module 12 is also used to perform the following steps:

[0040] P41: Based on the multiple key monitoring points, high stress points, key moving parts, load key points and environmental impact points are extracted; P42: According to the point characteristics of high stress points, key moving parts, load key points and environmental impact points, position sensors are respectively deployed to obtain position sensing modules; P43: Based on the position sensing module, real-time displacement monitoring of key parts is performed to obtain multiple displacement monitoring sets; P44: Based on the point characteristics of high stress points, key moving parts, load key points and environmental impact points, monitoring interference factors are respectively extracted, and combined with real-time interference indexes, multiple monitoring interference coefficient sets are generated; P45: According to the multiple monitoring interference coefficient sets, interference corrections are respectively performed on multiple displacement monitoring sets to obtain the displacement monitoring results.

[0041] In a possible embodiment of the present application, the displacement monitoring module 14 of the present application performs real-time displacement monitoring of key monitoring points by precisely deploying position sensing modules to ensure the stability and safety of the crane during operation. Specifically, firstly, based on multiple key monitoring points, high stress points, key moving parts, load key points and environmental impact points are extracted. High stress points refer to the parts that are subjected to the greatest stress during the operation of the crane, key moving parts refer to the positions that frequently move and change during the operation of the crane, load key points refer to the parts that are in direct contact and connection with the load, and environmental impact points refer to the parts that are easily affected by the external environment, such as areas with large changes in wind speed and temperature.

[0042] Furthermore, position sensors are deployed respectively according to the point characteristics of high stress points, key moving parts, load key points and environmental impact points to form a position sensing module. Position sensor types may include laser ranging sensors, ultrasonic sensors, GPS sensors, etc. When deploying, it is necessary to consider the accuracy, response speed and environmental adaptability of the sensor to ensure that the displacement changes of key points can be accurately monitored. Based on the position sensing module, real-time displacement monitoring of key parts is performed to obtain multiple displacement monitoring sets. Real-time displacement monitoring includes continuous collection of sensor data and recording of displacement changes of each key point to ensure that the operating status of the crane can be reflected in real time.

[0043] Furthermore, based on the point characteristics of the high stress points, key moving parts, load key points and environmental impact points, monitoring interference factors are extracted respectively. These factors may include environmental vibration, temperature change, electromagnetic interference, etc. The corresponding monitoring interference factors are extracted respectively, and multiple monitoring interference coefficient sets are generated in combination with real-time interference indexes (such as environmental parameter monitoring data). These coefficients are used to quantify the degree of influence of different interference factors on the displacement monitoring results. According to multiple monitoring interference coefficient sets, interference corrections are performed for multiple displacement monitoring sets respectively, and the influence of interference factors on the data is eliminated or weakened through data filtering, noise elimination and signal correction technologies, so as to obtain more accurate and reliable displacement monitoring results. These results not only reflect the real-time displacement status of key parts of the crane, but also provide an important basis for subsequent fault diagnosis, early warning decision-making and operation optimization.

[0044] Furthermore, step P44 of the embodiment of the present application also includes:

[0045] P44-1: Based on the point characteristics of the high stress points, key moving parts, load key points and environmental impact points, multi-sensor components are deployed respectively; P44-2: Using the multi-sensor components, a multi-interference data set is collected in real time; P44-3: Through the multi-interference data set, the real-time monitoring interference factor of each point is extracted, and the real-time interference index of each interference factor is analyzed and calculated; P44-4: Based on the real-time interference index, a set of interference coefficients for each point is generated.

[0046] Optionally, the specific process of generating the interference coefficient of each point may be, firstly, based on the point characteristics of the high stress points, key moving parts, load key points and environmental impact points, respectively, sensors are deployed to generate a multi-sensor component corresponding to each point. These sensor components may include acceleration sensors, temperature sensors, humidity sensors, electromagnetic interference sensors, etc., covering a variety of interference types to ensure comprehensive monitoring of various interference factors that may affect the monitoring results.

[0047] The multivariate sensor assembly is used to collect multivariate interference data of each point in real time. These data include but are not limited to temperature readings, vibration frequency, electromagnetic field strength, etc., which together constitute a multivariate interference data set. The data collection process is highly automated, and the sensor transmits the data to the central processing unit for storage and analysis by wireless or wired means. In order to ensure the accuracy and real-time nature of the data, a high-speed data transmission protocol and an efficient data compression algorithm can be used.

[0048] Furthermore, through the multivariate interference data set, the real-time monitoring interference factors of each point are extracted through signal processing technology and data analysis algorithms. These factors are the direct causes of the deviation of displacement monitoring results, such as material expansion caused by temperature changes, measurement errors caused by vibration interference, etc. Subsequently, each interference factor is deeply analyzed and its real-time interference index is calculated. The real-time interference index is a quantitative indicator used to evaluate the influence of interference factors on displacement monitoring results.

[0049] Furthermore, a corresponding set of interference coefficients is generated according to the real-time interference index of each point. These coefficients are mathematical expressions of the degree of influence of interference factors, and are used to perform interference correction in displacement monitoring results. The interference coefficient can be calculated by calculating the ratio of the real-time interference index to the interference index threshold. According to multiple monitoring interference coefficient sets, interference corrections are performed for multiple displacement monitoring sets respectively. Through data filtering, noise elimination and signal correction technologies, the influence of various interference factors is removed to obtain the final displacement monitoring results, ensuring the accuracy and reliability of the data.

[0050] The synchronous safety assessment module 15 is used to perform synchronous analysis of collision, deformation and control sensitivity through the multivariate safety assessment channel according to the displacement monitoring result to generate a comprehensive safety assessment result.

[0051] Furthermore, the synchronization safety assessment module 15 is also used to perform the following steps:

[0052] P51: sending the displacement monitoring result as input to the collision safety assessment channel, the structural safety assessment channel and the electrical safety assessment channel of the multi-dimensional safety assessment channel;

[0053] P52: Based on the collision safety assessment channel, perform collision risk assessment on the multiple key monitoring points to obtain collision risk assessment results; P53: Based on the structural safety assessment channel, perform stress deformation risk assessment on the multiple key monitoring points to obtain deformation risk assessment results; P54: Based on the electrical safety assessment channel, perform control response sensitivity assessment on the multiple key monitoring points to obtain control risk assessment results; P55: Fusion the collision risk assessment results, deformation risk assessment results and control risk assessment results to generate the comprehensive safety assessment results.

[0054] It should be understood that the synchronous safety assessment module 15 of the present application is responsible for realizing synchronous analysis and comprehensive assessment of collision, deformation and control sensitivity during crane operation by integrating displacement monitoring results with the functions of multiple safety assessment channels. Specifically, the displacement monitoring results from the displacement monitoring module 14 are first received as input data. After precise collection and interference correction, these data accurately reflect the real-time displacement status of the key monitoring points of the crane. Subsequently, these data are automatically distributed to the collision safety assessment channel, the structural safety assessment channel and the electrical safety assessment channel in the multiple safety assessment channel.

[0055] Furthermore, in the collision safety assessment channel, the distance between the crane and the surrounding fixed obstacles and mobile obstacles is calculated by analyzing the displacement monitoring data. When the monitoring data approaches or exceeds the collision safety constraint boundary, the system will generate a collision risk assessment result to indicate the potential collision risk. At the same time, based on the structural safety assessment channel, stress and deformation risk assessments are performed on multiple key monitoring points. By analyzing the displacement monitoring data, the stress and strain conditions of each key part are calculated. Combined with the deformation allowable space, when the monitoring data approaches or exceeds the deformation allowable range, a deformation risk assessment result is generated to indicate the potential structural deformation risk. At the same time, based on the electrical safety assessment channel, the control response sensitivity of multiple key monitoring points is evaluated. By analyzing the displacement monitoring data and combining the response characteristics of the control system, the transmission quality of the control signal, the response speed of the actuator, and the control accuracy are calculated. When the monitoring data approaches or exceeds the sensitivity allowable space, the system will generate a control risk assessment result to indicate the potential control system risk.

[0056] Finally, the collision risk assessment results, deformation risk assessment results and control risk assessment results are fused. By comprehensively considering the safety factors of different aspects and their mutual influence, a comprehensive comprehensive safety assessment result is generated. The comprehensive safety assessment result can provide a comprehensive crane safety status assessment by comprehensively analyzing the output data of each assessment channel, and provide detailed safety recommendations and early warning information for operators.

[0057] Furthermore, step P54 of the embodiment of the present application also includes:

[0058] P54-1: Under normal working conditions, record the response time, position accuracy and speed control data of the multiple key monitoring points to establish baseline data; P54-2: Based on the displacement monitoring results, obtain the real-time response time, real-time response position and real-time response speed; P54-3: According to the real-time response time, real-time response position and real-time response speed, combined with the baseline data, calculate the sensitivity deviation; P54-4: Based on the sensitivity deviation, combined with the sensitivity allowable space, perform a control response sensitivity assessment to obtain the control risk assessment result.

[0059] Optionally, the specific process of evaluating the control response sensitivity of the multiple key monitoring points may be, first, under normal working conditions of the crane, recording the response time, position accuracy and speed control data of the multiple key monitoring points. These data are acquired under ideal conditions without faults and interferences, and are therefore regarded as baseline data. The baseline data is the benchmark for subsequent evaluation of the control response sensitivity, reflecting the performance of the crane under optimal conditions. Through high-precision data acquisition equipment and a stable data recording system, the accuracy and reliability of the baseline data can be ensured, providing a solid data foundation for subsequent analysis and evaluation.

[0060] Furthermore, as the crane continues to operate, the response time, response position and response speed data of each key monitoring point are obtained in real time based on the displacement monitoring results. These data reflect the control performance of the crane under real-time working conditions. Through close integration with the displacement monitoring module, the timeliness and accuracy of real-time response data can be ensured. At the same time, advanced data processing technology is used to clean and preprocess the real-time data, remove noise and outliers, and improve the reliability and effectiveness of the data.

[0061] Furthermore, based on the real-time response time, real-time response position and real-time response speed, combined with the baseline data, the sensitivity deviation is calculated. The sensitivity deviation refers to the degree of difference between the real-time response data and the baseline data, reflecting the deviation of the crane control performance. By comparing the difference or proportional relationship between the real-time response time and the baseline response time, the real-time response position and the baseline position, and the real-time response speed and the baseline speed, the corresponding sensitivity deviation value can be calculated. These deviation values ​​not only reveal the real-time changes in control performance, but also provide quantitative indicators for subsequent evaluation.

[0062] Finally, an assessment is performed based on the sensitivity deviation and the sensitivity tolerance of the control system. The sensitivity tolerance refers to the sensitivity deviation range allowed by the control system under normal working conditions. By comparing the sensitivity deviation with the sensitivity tolerance, it is possible to evaluate whether the sensitivity of the control response meets the safety requirements. If the sensitivity deviation exceeds the tolerance range, it means that the control performance has an abnormal or degraded trend, and corresponding risk control measures need to be taken. According to the size and change trend of the sensitivity deviation, the system can generate detailed control risk assessment results to provide risk warnings and decision support for operators. At the same time, by real-time monitoring and evaluating changes in control performance, the system can also promptly detect potential safety hazards and take corresponding preventive measures to further improve the safety and reliability of the crane.

[0063] The safety warning module 16 is used to issue a safety warning to the crane based on the comprehensive safety assessment result.

[0064] It should be understood that the safety warning module 16 of the present application is responsible for timely and accurate crane safety warning based on the comprehensive safety assessment results. Exemplarily, after obtaining the comprehensive safety assessment results, the safety warning module 16 will immediately start the warning analysis process. The process includes but is not limited to threshold comparison, trend prediction, and risk level classification of various indicators in the assessment results. Through the preset safety thresholds and risk assessment models, the module can quickly identify which indicators have or are about to exceed the safety range, thereby determining potential safety risk points.

[0065] After the safety risk point is determined, the safety warning module 16 will immediately trigger the warning mechanism. This mechanism may include sound and light alarms, information push to the operator terminal, automatic adjustment of the crane working status or initiation of emergency braking and other measures. The presentation of the warning information is intuitive and clear, aiming to attract the attention of the operator at the first time and guide him to take necessary countermeasures. In addition, the safety warning module 16 also has risk tracking and recording functions. For the warning events that have been triggered, the module will continue to track their processing progress and record relevant processing information. These records will not only help with subsequent safety analysis and accident investigation, but also provide a reference for the safety management and maintenance of the crane.

[0066] In summary, the embodiments of the present application have at least the following technical effects:

[0067] This application extracts multiple key monitoring points through the basic structure information and real-time lifting task information of the target crane, and sets collision safety constraints, deformation allowable space and sensitivity allowable space based on them, constructs a multi-dimensional safety assessment channel, obtains displacement monitoring results through displacement monitoring and interference correction of key parts, and performs synchronous analysis and safety warning of collision, deformation and control sensitivity through the multi-dimensional safety assessment channel.

[0068] The technical effect of conducting multi-channel synchronous safety analysis based on key monitoring data and improving the response rate of safety monitoring has been achieved.

[0069] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0070] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0071] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0072] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A port crane operation safety monitoring platform, characterized in that: The platform includes: A key monitoring point extraction module (11), the key monitoring point extraction module (11) is used to extract a plurality of key monitoring points based on the basic structure information of the target crane and in combination with the real-time lifting task information; A safety space construction module (12), the safety space construction module (12) being used to construct collision safety constraints, deformation allowable space and sensitivity allowable space for the plurality of key monitoring points; A multivariate safety assessment channel construction module (13), the multivariate safety assessment channel construction module (13) being used to construct a multivariate safety assessment channel through the collision safety constraint, the deformation admissible space and the sensitivity admissible space, the multivariate safety assessment channel comprising a collision safety assessment channel, a structural safety assessment channel and an electrical safety assessment channel; A displacement monitoring module (14), the displacement monitoring module (14) being used to deploy position sensing modules based on the plurality of key monitoring points, to perform displacement monitoring of key parts, and to obtain displacement monitoring results after interference correction; A synchronous safety assessment module (15), the synchronous safety assessment module (15) being used to perform synchronous analysis of collision, deformation and control sensitivity through the multivariate safety assessment channel according to the displacement monitoring result, and generate a comprehensive safety assessment result; A safety warning module (16), the safety warning module (16) being used to perform a crane safety warning based on the comprehensive safety assessment result; Based on the basic structure information of the target crane and combined with the real-time lifting task information, multiple key monitoring points are extracted, including: Obtain the basic structural information of the target crane, including component specification information and connection point characteristics; Based on the infrastructure information, stress-strain analysis is performed under various working conditions to obtain a plurality of weak area sets; Receive real-time lifting task information, including operation type information, load information, work scope information and environmental requirements information; Analyze and generate multiple target operating conditions according to the real-time lifting task information; By traversing and matching the multiple target operating conditions with the multiple weak area sets, a multiple target weak area sets are obtained; The multiple target weak area sets are fused and extracted to obtain multiple key monitoring points, which include high stress points, key moving parts, load key points, and environmental impact points.

2. A port crane operation safety monitoring platform as claimed in claim 1, characterized in that: For the multiple key monitoring points, collision safety constraints, deformation allowable space and sensitivity allowable space are constructed, including: Based on the target operating environment of the target crane, environmental obstacles are identified, and a three-dimensional model of the operating environment is constructed, wherein the three-dimensional model of the operating environment includes fixed obstacle information and mobile obstacle information; A three-dimensional equipment model of the target crane is constructed, and after being integrated with the three-dimensional model of the working environment, an operation collision simulation is performed in combination with the motion characteristics of the crane. Based on the collision simulation results, the collision information of the multiple key monitoring points is extracted to generate the collision safety constraints.

3. A port crane operation safety monitoring platform as claimed in claim 2, characterized in that: The platform also includes: Based on the material information of each key part of the target crane, material property analysis is performed to obtain a material property set; Extracting stress-strain limit values ​​for the plurality of key monitoring points, determining the allowable deformation range of each key part in combination with the material property set, and generating the allowable deformation space; Based on the control system response characteristics and control accuracy of the target crane, the sensitivity range of the system is determined and the sensitivity allowable space is generated.

4. A port crane operation safety monitoring platform as claimed in claim 1, characterized in that: Based on the multiple key monitoring points, position sensor modules are deployed to monitor the displacement of key parts, and the displacement monitoring results are obtained after interference correction, including: Based on the multiple key monitoring points, extract high stress points, key moving parts, load key points and environmental impact points; According to the point characteristics of high stress points, key moving parts, load key points and environmental impact points, position sensors are arranged respectively to obtain position sensing modules; Based on the position sensing module, real-time displacement monitoring of key parts is performed to obtain multiple displacement monitoring sets; Based on the point characteristics of the high stress points, key moving parts, load key points and environmental impact points, respectively extract monitoring interference factors, and combine with the real-time interference index to generate multiple monitoring interference coefficient sets; According to the multiple monitoring interference coefficient sets, interference corrections are respectively performed on multiple displacement monitoring sets to obtain the displacement monitoring results.

5. A port crane operation safety monitoring platform as claimed in claim 4, characterized in that: Based on the point characteristics of the high stress points, key moving parts, load key points and environmental impact points, the monitoring interference factors are extracted respectively, and combined with the real-time interference index, multiple monitoring interference coefficient sets are generated, including: Based on the point characteristics of the high stress points, key moving parts, load key points and environmental impact points, multi-sensor components are arranged respectively; Using the multivariate sensor assembly to collect a multivariate interference data set in real time; Extracting the real-time monitoring interference factor of each point through the multivariate interference data set, and analyzing and calculating the real-time interference index of each interference factor; According to the real-time interference index, a set of interference coefficients of each point is generated.

6. A port crane operation safety monitoring platform as claimed in claim 1, characterized in that: According to the displacement monitoring results, the collision, deformation and control sensitivity are synchronously analyzed through the multivariate safety assessment channel to generate a comprehensive safety assessment result, including: The displacement monitoring result is used as input and sent to a collision safety assessment channel, a structural safety assessment channel and an electrical safety assessment channel of the multi-element safety assessment channel; Based on the collision safety assessment channel, performing collision risk assessment of the plurality of key monitoring points to obtain collision risk assessment results; Based on the structural safety assessment channel, performing stress deformation risk assessment of the multiple key monitoring points to obtain deformation risk assessment results; Based on the electrical safety assessment channel, a control response sensitivity assessment of the plurality of key monitoring points is performed to obtain a control risk assessment result; The collision risk assessment result, the deformation risk assessment result and the control risk assessment result are integrated to generate the comprehensive safety assessment result.

7. A port crane operation safety monitoring platform as claimed in claim 6, characterized in that: Based on the electrical safety assessment channel, the control response sensitivity of the multiple key monitoring points is evaluated to obtain a control risk assessment result, including: Under normal working conditions, record the response time, position accuracy and speed control data of the multiple key monitoring points to establish baseline data; Based on the displacement monitoring result, obtaining real-time response time, real-time response position and real-time response speed; According to the real-time response time, the real-time response position and the real-time response speed, the sensitivity allowable space is traversed to perform control response sensitivity evaluation and obtain the control risk evaluation result.

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