Design method of compact warehousing system
A storage system and design method technology, applied in the field of unmanned storage, can solve problems such as system setting differences, and achieve the effect of high throughput efficiency
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Embodiment 1
[0108] Taking the case of C2 among the 36 cases as an example, the method of this embodiment is further described, and the specific derivation process of the expected time expression is given as follows:
[0109] S1: According to the sub-cases of system division, obtain the volume of the first area of the system, the proportion of the volume of the first area, and the volume of the second area.
[0110]
[0111]
[0112]
[0113] S2: According to the expansion rule of time t, the order of critical time points is obtained as follows:
[0114]
[0115] S3: According to the critical time point, t in the first region can be divided into two key intervals: (a) 0<t≤h, (b) h<t≤b, and different intervals correspond to different shapes of the first region.
[0116] S4: Calculate the expected time of the first area.
[0117] To (a) (b) respectively calculate the volume of each interval, then obtain the probability density function according to the content of operation S10...
Embodiment 2
[0130]Taking the C1 case among the 36 cases as an example, the method of this embodiment is further described, and the specific derivation process of the expected time expression is given as follows:
[0131] S11: According to the process described in operation S105, the constraints and expected pick-up time of sub-case C1 are as follows. And the constraints of updating l and b are obtained according to the replaced constraints.
[0132] Constraint: 2 / l 2 ≥b&l / 2≥b / 2&l / 2≤2 / l 2
[0133]
[0134] Ranges: b≤min(l, 2 / l 2 )
[0135] S22: Make E[T A1 ] Deriving l to obtain the design result of the optimal system size and classification boundary time b.
[0136]
[0137] Based on the value range of l and b, it is not difficult to find that within this range, i.e. E[T A1 ] is an increasing function on l. In order to minimize the expected pickup, the optimal system size and classification boundary time b are:
[0138]
[0139]
[0140]
[0141] S33: Bring the...
Embodiment 3
[0146] see Figure 6 and Figure 7 , where the edge of the dotted line filled with the vertical line indicates that the position of the entrance and exit point is at the midpoint of the system horizontal direction (system A), and the area filled with the edge of the solid line with the left oblique line indicates that the position of the entrance and exit point is not in the horizontal direction of the system. The midpoint case (system B).
[0147] In addition to the previously mentioned parameters, define the following parameters:
[0148] α: distance between two entry and exit points
[0149] I / O1 (I / O2): The entry and exit point of system A (B)
[0150] Indicates the expected pick-up time of system A in area b (area I, II, III or IV in the figure). For example Indicates the expected pick-up time of system A in area I.
[0151] Case 1: The shape of the first area will not be affected by the movement of the entry and exit points
[0152] Such as Figure 6 As shown ...
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