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A garbage truck docking method under the big data platform

A data platform and garbage truck technology, applied in the field of intelligent transportation and big data analysis, can solve the problems of incompatibility and low efficiency of garbage collection, and achieve the effects of saving manpower and material resources, facilitating on-site decision-making, and reflecting real-time effectiveness

Active Publication Date: 2019-01-11
HUNAN UNIV SCI PARK CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a garbage truck docking method under the big data platform to realize the intelligent docking of garbage trucks, so as to solve the problems of low efficiency of garbage collection by existing garbage trucks and the inability to combine real-time garbage capacity, processing progress, and processing process

Method used

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  • A garbage truck docking method under the big data platform
  • A garbage truck docking method under the big data platform
  • A garbage truck docking method under the big data platform

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0041] The actual geographical environment for garbage collection such as image 3 As shown, including S1 route 1, S2 route 2, S3 route 3 and S4 route 4, there are several garbage collection devices 5 on each route, L1 trolley 6 on S1 route 1, and L2 cart on S2 route 2 7. There are L3 carts 8 on S3 route 3, and L4 carts on S4 route 4. Each vehicle communicates with the data processing platform in real time during the garbage collection process.

[0042] When multiple garbage collection devices on S1 route 1 are overflowing, and the vehicle capacity of L1 trolley 6 on S1 route 1 cannot fully load the garbage from the garbage collection device on S1 route 1, the data processing platform searches and compares with S1 after receiving the information. L1 trolley 6 on route 1 to the nearest large garbage truck. For example, the data processing platform collects that there are L2 carts 7 on S2 route 2 and L3 carts 8 on S3 route 3, both of which have enough vehicle capacity to load ...

specific Embodiment 2

[0043] After the L1 car 6 and the L2 cart 7 both replied to confirm that they had received the information, the data processing platform collected the traffic jam on the route from the L1 car 6 to the L2 cart 7 through the traffic data platform, resulting in a very long time . At the same time, the data processing platform finds that the docking time between L1 car 6 and L3 cart 8 is relatively short, and the data processing platform promptly sends information to L1 car 6 to change the docking route, and sends specific route information from L1 car 6 to L3 cart 8, and Simultaneously, the L2 cart 7 sends cancel docking information and the L3 cart 8 sends the information that the L1 trolley 6 is about to dock and the garbage loading information.

[0044] L1 trolley 6 docks with L3 trolley 8 according to the route provided by the data processing platform and reloads the garbage, and then L1 trolley 6 returns to S1 route 1 to continue collecting garbage.

specific Embodiment 3

[0045] When multiple garbage collection devices on S1 route 1 are overflowing, and the vehicle capacity of L1 trolley 6 on S1 route 1 cannot fully load the garbage from the garbage collection device on S1 route 1, the data processing platform searches and compares with S1 after receiving the information. L1 car 6 on route 1 is the nearest large garbage truck, and calculates the weight.

[0046] For example: the distance score between L2 large car 7 and L1 small car 6 is 2, and the weight is 0.2; the driving time is 3, and the weight is 0.5; the remaining vehicle capacity is 5, and the weight is 0.3, then the total score is 2* 0.2+3*0.5+5*0.3=3.4; the distance score between L3 cart 8 and L1 cart 6 is 4, and the weight is 0.2; the driving time is 6, and the weight is 0.5; the remaining vehicle capacity is 5, and the weight is is 0.3, then its total score is 4*0.2+6*0.5+5*0.3=5.3; the distance score between L4 cart and L1 car 6 is 7, and the weight is 0.2; the driving time score ...

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Abstract

The invention provides a garbage truck intelligent connection method under an information mode. The method comprises a vehicle-mounted device, a data processing platform and a road condition data platform, wherein the data processing platform and the road condition data platform are wirelessly connected to the vehicle-mounted device. The data processing platform adjusts running routes of each garbage truck according to real-time vehicle-mounted capacity information of each garbage truck, road condition data, and spilling conditions of garbage collection devices in vehicle working regions, and transmits adjusted running route data to corresponding garbage trucks. Intelligent and uniform management of garbage trucks is achieved through the data processing platform, so garbage on each road segment can be timely cleaned, garbage processing efficiency and connection efficiency are improved, and a problem of failure to timely clean garbage or quite slow speed under the current garbage collection mode is avoided. Route arrangement can be performed according to real-time traffic conditions of the platform during working processes of the garbage trucks, so energy of the garbage trucks is saved and garbage processing speed is accelerated.

Description

technical field [0001] The invention relates to the fields of intelligent transportation and big data analysis, in particular, to a garbage truck docking method under a big data platform. Background technique [0002] With the development of society and the acceleration of urbanization, there are more and more domestic garbage. The task and pressure of the environmental sanitation department to deal with domestic waste in a timely manner is increasing day by day. The current domestic waste treatment method is: residents pile it in a centralized location or a garbage collection device, transfer it to a community garbage station by a small car, then transfer it, and finally pull it to a designated place for landfill or incineration. [0003] Most of the paths for collecting garbage by existing garbage trucks are artificially arranged, and each vehicle corresponds to a fixed line to collect garbage. But this often leads to the phenomenon that the garbage cannot be loaded comp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/00G06Q10/06
CPCG06Q10/06G08G1/202
Inventor 刘克利张轩瑜罗辉辉伍乾坤
Owner HUNAN UNIV SCI PARK CO LTD
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