Method and system for concrete transport vehicle dispatching optimization calculation theoretical model
A technology of concrete transporter and optimized calculation, applied in the field of automation, can solve the problems of waste, chaotic concrete scheduling, tight construction period, etc., and achieve the effect of improving the utilization efficiency and the level of informatization
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Embodiment 1
[0046] This embodiment discloses as figure 1 A method for calculating a theoretical model for scheduling optimization of concrete transport vehicles includes the following steps:
[0047] S1 obtains the mixing plant information and sequentially obtains the construction site information that needs concrete on that day;
[0048] S2 determines the initial working point of the concrete transport vehicle through the standard particle swarm algorithm;
[0049] S3 calculates the time schedule sequentially according to the vehicle speed, transportation distance, loading and unloading time, the required square footage of the work site, and the start time of work;
[0050] S4 uses the total waiting time of the work site and the total waiting time of the transport vehicles to calculate and obtain the dispatching plan;
[0051] The S5 general-purpose programming language VB runs the above steps and performs multiple iterative calculations to obtain the optimal scheduling scheme.
[005...
Embodiment 2
[0055]This embodiment discloses the establishment of an optimal scheduling model for concrete transport vehicles. In this embodiment, from a mathematical point of view, the scheduling of concrete transport vehicles is a kind of mixed integer programming problem, which constitutes an NP-hard problem academically. It is very difficult to solve. Bionic algorithms that imitate various ecological systems in nature can obtain better results in solving many complex optimization problems, and have the characteristics of practicability, versatility, flexibility and high efficiency. Therefore, bionic algorithms have become popular in recent years. To become an important direction and research hotspot for solving optimization problems. Particle Swarm Optimization (PSO), because of its simple structure and fast convergence, is widely used to solve optimization problems.
[0056] This embodiment adopts the standard particle swarm optimization algorithm (PSO-S), see the following formula ...
Embodiment 3
[0071] This embodiment discloses the programmatic realization of the optimization model, and this embodiment uses the general programming language VB to calculate the above optimization model. First you need to give the mixing station information (see figure 2 ): the total number of tankers available for scheduling, the volume of tankers (8 / 10 / 12 / 16 can be selected) and the loading time, and then enter the information of the construction site that needs concrete on the day in sequence: the name of the site, the amount of concrete required, The time required for the vehicle to reach the work point from the mixing station and the time to return to the mixing station from the work point, the time required for pouring after arriving at the work point, the start time of the work point and the maximum interruption time for pouring allowed by the work point.
[0072] Such as image 3 As shown, if the entered information is wrong, the work site can be deleted through the data deleti...
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