A self-adaptive emergency braking control system for quay crane spreader
An emergency braking and control system technology, applied in the field of port machinery, can solve problems such as spreader collision accidents and inability to analyze the operation state of operators, and achieve the effects of preventing safety accidents, reducing spreader collision accidents, and preventing collisions.
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Embodiment 1
[0047] Such as figure 2 As shown; the position acquisition module is used to obtain the current position of the spreader and the position of the target container to determine the running track of the spreader; the position includes the position in the horizontal direction and the vertical direction, and the running track is a straight line; the position acquisition module is used to obtain the position of the spreader The running trajectory is transmitted to the controller;
[0048] The environment collection module is used to collect the real-time environment information outside the spreader in real time, and transmit the real-time environment information to the speed acquisition module; the speed acquisition module is used to determine the corresponding running speed of the spreader according to the real-time environment information, and the running speed includes horizontal running speed and Vertical running speed; real-time environmental information includes temperature i...
Embodiment 2
[0057] Such as image 3 As shown, the radar module is composed of laser radar and ultrasonic radar, which is used to monitor the distance information of obstacles around the spreader in real time and transmit the distance information to the data analysis module. Obstacles include people, vehicles and other containers except the target container, etc. ; The data analysis module is used to receive distance information and analyze the distance information to determine whether there are obstacles on the running track; the specific analysis steps are:
[0058] S1: Obtain the real-time distance information of the obstacle, and mark the real-time distance information as L1; establish a graph of the real-time distance information changing with time, and mark it as the obstacle distance graph; according to the change of the real-time distance, the obstacle distance curve The graph is divided into ascending phase, resting phase and descending phase;
[0059] S2: When the real-time dist...
Embodiment 3
[0065] Such as Figure 4 As shown; in a working cycle of the quay crane, the monitoring module communicates with the controller to monitor the braking signal. The specific steps are:
[0066] V1: In a working cycle of the quay crane, when the monitoring module detects that the controller receives the braking signal, record the braking moment at this time;
[0067] V2: Automatically count down when the brake signal is detected, the countdown time is T2 time, T2 is the preset value; continue to monitor the brake signal during the countdown period, if a new brake signal is generated, the countdown will automatically return to the original value, count down again according to T2; otherwise, count down to zero and stop counting down;
[0068] V3: Count the number of braking signals in the countdown phase and mark them as braking frequency C1;
[0069] Sort all the braking moments according to the order of time, and calculate the time difference between the two adjacent braking mo...
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