Intelligent anti-slip hook system of crane and control method

Abstract

The invention discloses an intelligent anti-slip system for a crane, which comprises a sensor group, an intelligent controller, a brake actuating mechanism and an early warning and alarming device, the sensor group, the intelligent controller and the brake actuating mechanism are respectively in two-way communication connection with a server, the server is connected with a real-time data monitoring and analyzing unit, and the real-time data monitoring and analyzing unit is connected with the early warning and alarming device. The real-time data monitoring and analysis unit is connected with the response adjustment unit through the data prediction and judgment unit, and the response adjustment unit is connected with the real-time data monitoring and analysis unit, the data prediction and judgment unit and the server. Through high-precision real-time monitoring, intelligent prediction and judgment, quick response braking and a self-adaptive adjustment strategy, the problem of a traditional crane in the aspect of hook slip prevention is effectively solved. According to the system, the safety and stability of lifting operation can be remarkably improved, the accident risk is reduced, and a more reliable lifting solution is provided for the modern industry.

Description

Technical Field

[0001] The invention relates to the field of lifting operations, and in particular to an intelligent anti-hook slipping system and a control method for a crane. Background Art

[0002] In lifting operations, hook slipping refers to the phenomenon that the hook and load fall rapidly and uncontrollably due to sudden load unloading, brake failure or improper operation. This will not only damage the equipment, but may also cause serious safety accidents. Traditional cranes mostly use mechanical brake devices to prevent hook slipping, but their slow response speed and low control accuracy make it difficult to meet the high safety requirements of modern industry. Therefore, it is particularly important to develop an efficient and intelligent anti-hook slipping system. Summary of the invention

[0003] In view of the problems existing in the prior art, the present invention provides a crane intelligent anti-hook slipping system and control method with high-precision real-time monitoring, intelligent prediction and judgment, rapid response braking, and adaptive adjustment strategy.

[0004] The purpose of the present invention is achieved through the following technical solutions.

[0005] A crane intelligent anti-hook slipping system comprises a sensor group, an intelligent controller, a brake actuator, and an early warning and alarm device. The early warning and alarm device comprises a real-time data monitoring and analysis unit, a data prediction and judgment unit, and a response adjustment unit. The sensor group, the intelligent controller, and the brake actuator are respectively connected to a server for two-way communication. The server is connected to the real-time data monitoring and analysis unit. The real-time data monitoring and analysis unit is connected to the response adjustment unit via the data prediction and judgment unit. The response adjustment unit is respectively connected to the real-time data monitoring and analysis unit, the data prediction and judgment unit, and the server.

[0006] The sensor group includes a load sensor, a displacement sensor, and an acceleration sensor, which are used to monitor the status information of the hook and the load in real time.

[0007] The intelligent controller integrates a microprocessor and an intelligent control algorithm to quickly determine and respond to the risk of hook slipping based on sensor data.

[0008] The brake actuator is connected to the intelligent controller through a server, and is quickly started after receiving a control signal to brake the hook.

[0009] The early warning and alarm device sends out an early warning signal when a potential risk of hook slipping is detected, and sends out an emergency alarm when hook slipping occurs.

[0010] A crane intelligent anti-hook slip control method, comprising the following steps: Real-time monitoring: The load weight, displacement and acceleration parameters of the hook and load are collected in real time through a high-precision sensor group; Data analysis: The intelligent controller processes and analyzes sensor data to identify load change trends and hook slip risks; Prediction and judgment: Use intelligent control algorithms to predict the movement state of the hook and load in the future and determine whether there is a risk of hook slipping; Quick response: Once the risk of hook slipping is detected, the intelligent controller immediately sends a control signal to the brake actuator to start the brake device and trigger the early warning and alarm devices at the same time; Adaptive adjustment: Based on actual braking effect feedback, the intelligent controller automatically adjusts braking parameters and strategies to ensure the best anti-hook effect.

[0011] Compared with the existing technology, the advantages of the present invention are: the present invention effectively solves the problems of traditional cranes in preventing hook slipping through high-precision real-time monitoring, intelligent prediction and judgment, rapid response braking and adaptive adjustment strategies. The system can significantly improve the safety and stability of lifting operations, reduce the risk of accidents, and provide a more reliable lifting solution for modern industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0013] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0014] like Figure 1 As shown, an intelligent anti-hook slipping system for a crane includes a sensor group, an intelligent controller, a brake actuator, and an early warning and alarm device. The early warning and alarm device includes a real-time data monitoring and analysis unit, a data prediction and judgment unit, and a response adjustment unit. The sensor group, the intelligent controller, and the brake actuator are respectively connected to a server for two-way communication. The server is connected to the real-time data monitoring and analysis unit. The real-time data monitoring and analysis unit is connected to the response adjustment unit through the data prediction and judgment unit. The response adjustment unit is respectively connected to the real-time data monitoring and analysis unit, the data prediction and judgment unit, and the server.

[0015] 1. System composition and installation 1.1 High-precision sensor group Load sensor: Installed between the hook and the load, used to measure the weight of the load in real time. The sensor should have high precision and fast response capabilities to ensure the accuracy of the data.

[0016] Displacement sensor: Installed on the hook or boom, it is used to monitor the vertical displacement change of the hook. By measuring the displacement data, it can be determined whether the hook is in a normal descent or abnormal acceleration state.

[0017] Acceleration sensor: Also installed on the hook or boom, it is used to detect the acceleration changes of the hook and load. Acceleration data is crucial for predicting the risk of hook slippage.

[0018] All sensors are connected to the intelligent controller via wired or wireless means to ensure real-time data transmission.

[0019] 1.2 Intelligent Controller Hardware composition: The intelligent controller uses a high-performance microprocessor as the core, equipped with sufficient storage space and input and output interfaces to support complex control algorithms and data processing tasks.

[0020] Software implementation: The controller is embedded with intelligent control algorithms, including data processing module, risk identification module, prediction and judgment module, and brake control module. These modules work together to achieve real-time processing and analysis of sensor data, as well as generation and sending of brake commands.

[0021] 1.3 Brake actuator Structural composition: The brake actuator includes electromagnetic brake or hydraulic brake, etc., which is selected according to the specific type and design requirements of the crane. The brake should be installed at an appropriate position on the hook or boom so that the hook can be braked quickly when a braking command is received.

[0022] Working method: The brake actuator receives the control signal from the intelligent controller. Once the risk of hook slipping is detected, the brake device is immediately activated to prevent the hook and load from further descending.

[0023] 1.4 Early warning and alarm devices Early warning device: When a potential risk of hook slipping is detected, an early warning is issued to the operator through sound and light signals to remind him to pay attention and take corresponding measures.

[0024] Alarm device: When the hook slip actually occurs, an emergency alarm signal is issued to ensure that the accident is handled in time.

[0025] 2. Control method implementation steps 2.1 Real-time monitoring After starting the crane, the high-precision sensor group begins to collect parameters such as the load weight, displacement, acceleration, etc. of the hook and load in real time, and transmits the data to the intelligent controller.

[0026] 2.2 Data Analysis The intelligent controller processes and analyzes the received sensor data, and identifies load change trends and potential hook slip risks by comparing historical data with preset safety thresholds.

[0027] 2.3 Prediction and judgment The processed data is further analyzed using intelligent control algorithms to predict the movement of the hook and load in the future. If the prediction results show that there is a risk of hook slipping, the next step is taken.

[0028] 2.4 Quick response Once the risk of hook slipping is detected, the intelligent controller immediately sends a control signal to the brake actuator to start the brake device. At the same time, the early warning and alarm device is triggered to warn the operator.

[0029] 2.5 Adaptive Adjustment During the braking process, the intelligent controller automatically adjusts the braking parameters and strategies based on the actual braking effect feedback. For example, if the braking effect is not good, the braking force can be increased or the braking timing can be adjusted to ensure the best anti-hook effect.

[0030] High-precision real-time monitoring: Use high-precision sensor groups to achieve accurate monitoring of the hook and load status.

[0031] Intelligent prediction and judgment: integrated with advanced intelligent control algorithms, it can predict and judge the risk of hook slipping in advance.

[0032] Quick response braking: The brake actuator responds quickly and can start braking in a very short time, effectively preventing the hook from slipping.

[0033] Adaptive adjustment strategy: Automatically adjust the braking parameters and strategies according to the braking effect feedback to improve the adaptability and stability of the anti-hook slip system. Through the implementation of the above steps, the intelligent anti-hook slip system for cranes of the present invention can realize real-time monitoring of the hook and load status, intelligent prediction and judgment, rapid response braking and adaptive adjustment strategy, thereby significantly improving the safety and stability of lifting operations.

Claims

1. An intelligent anti-hook system for cranes, characterized in that It includes a sensor group, an intelligent controller, a braking actuator, and an early warning and alarm device. The early warning and alarm device includes a real-time data monitoring and analysis unit, a data prediction and judgment unit, and a response adjustment unit. The sensor group, the intelligent controller, and the braking actuator are respectively connected to the server for two-way communication. The server is connected to the real-time data monitoring and analysis unit. The real-time data monitoring and analysis unit is connected to the response adjustment unit through the data prediction and judgment unit. The response adjustment unit is respectively connected to the real-time data monitoring and analysis unit, the data prediction and judgment unit, and the server.

2. The intelligent anti-hook system for cranes according to claim 1 is characterized in that The sensor group includes a load sensor, a displacement sensor, and an acceleration sensor, which are used to monitor the status information of the hook and the load in real time.

3. The intelligent anti-hook system for cranes according to claim 1 is characterized in that The intelligent controller integrates a microprocessor and an intelligent control algorithm to quickly determine and respond to the risk of hook slipping based on sensor data.

4. The intelligent anti-hook system for cranes according to claim 1 is characterized in that The brake actuator is connected to the intelligent controller through a server, and is quickly started after receiving a control signal to brake the hook.

5. The intelligent anti-hook system for cranes according to claim 1 is characterized in that The early warning and alarm device sends out an early warning signal when a potential risk of hook slipping is detected, and sends out an emergency alarm when hook slipping occurs.

6. A crane intelligent anti-hook slip control method, characterized by the steps include: Real-time monitoring: The load weight, displacement and acceleration parameters of the hook and load are collected in real time through a high-precision sensor group; Data analysis: The intelligent controller processes and analyzes sensor data to identify load change trends and hook slip risks; Prediction and judgment: Use intelligent control algorithms to predict the movement state of the hook and load in the future and determine whether there is a risk of hook slipping; Quick response: Once the risk of hook slipping is detected, the intelligent controller immediately sends a control signal to the brake actuator to start the brake device and trigger the early warning and alarm devices at the same time; Adaptive adjustment: Based on actual braking effect feedback, the intelligent controller automatically adjusts braking parameters and strategies to ensure the best anti-hook effect.

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