At present, there are already better solutions for unmanned warehouse in warehousing, sorting, goods collection and transportation, but there are many automation schemes in the sorting and packaging process, but they cannot break through the restrictions of complex scenes and rely mainly on personnel to carry out corresponding operations. This is also the breakthrough difficulty of unmanned warehouse technology. For example, for the e-commerce industry, the realization of automatic identification of tens of thousands of product specifications is one of the difficult problems. At present, domestic and foreign technologies cannot be realized through a single method, but need to be realized through a comprehensive solution, but the cost will be very high. In addition, the scheduling of dozens of AGVs is relatively easy, but the scheduling of hundreds and thousands of AGVs is very complicated, not only to ensure that AGVs do not affect each other, but also to consider the order aging, and the calculation amount and complexity are increasing exponentially.

Unmanned warehouse is a complex project with multiple subsystems, which requires close cooperation and efficient cooperation of all participants to realize organic integration and gradual optimization of logistics system.

Planning and Hardware Aspects

The planning of unmanned warehouse needs to reach the maximum output under a certain construction area. If the main indexes of equipment can be further improved, the ping effect and human effect of unmanned warehouse will be correspondingly improved, such as:

Batteries: The increase in capacity and charging speed can prolong the effective working time of logistics equipment. On the one hand, it can reduce the number of equipment used and reduce the cost; on the other hand, it can increase the number of equipment in working condition and improve the efficiency.

Driving: The increase of equipment speed and acceleration and the more effective utilization of battery energy can both improve the handling efficiency and endurance of equipment and greatly improve the effective utilization of space and personnel.

Network Equipment: Increasing the coverage and depth of network communication equipment can reduce the frequency of AGV switching between different network equipment, reduce communication delay and loss of position of equipment, thus improving production efficiency.

Technical aspects

Unmanned warehouse integrates new technologies such as internet of things, artificial intelligence, big data, etc. it is a resource collaboration platform under the background of digitalization, networking and automation, and is a real-time autonomous system driven by algorithmic intelligent decision - making. The difficult problems to be solved include:

Behind man-machine coordination and perfect combination of people and equipment are the digitalization of various resources and the intelligent decision algorithm of equipment scheduling system.

In cluster processing, each device in the unmanned warehouse is not isolated, but a cluster of devices that continuously generates various kinds of data and responds to external instructions in a timely manner while having the ability of self-awareness and intelligent decision - making.

In case of abnormal response and equipment failure, the cooperation between equipment is even more so. The system level should judge and solve all kinds of predicted and unknown abnormal scenarios, and make appropriate intelligent decisions for abnormal isolation so as to ensure the smooth operation of the system as a whole.

Asia Logistics Exhibition: Focusing on " Smart Logistics" to Lead the Wind in the Industry

6 - 9 November 2018

Shanghai New International Expo Centre

We are waiting for you.