Machine Intelligence (MI) drives smart logistics transformation

As long as machine intelligence is not self-aware, the level of machine intelligence can't replace human intelligence. Machine intelligence can only help human beings, it will make our work more efficient, humans need to make good use of machine intelligence, and we must respect the machine. Some aspects of ability transcend humanity.

At present, machine intelligence mainly reflects the extension of automation, with the exponential growth of big data; with the rapid increase of computing power and speed; with the application of IoT technology, various sensors and embedded intelligent devices constitute a large-scale distributed Network; With the steady development of machine intelligence algorithms, machine intelligence will be widely used in the future to promote the transformation of smart logistics.

1. Machine Intelligence (MI) promotes the development of flexible automation of logistics systems

Logistics automation means that the system has automatic sensing and automatic execution. In the primary logistics automation, the perceptual command is often passive perception. With the development of the Internet and the Internet of Things technology, the logistics automation technology is also constantly improving. The active sensing function and the wireless sensing function are successively appeared, and the commands for sensing can be based on preset conditions. A function that is automatically executed after a simple judgment. Nowadays, the logistics automation technology is developing rapidly. It has a relatively complete sensing capability and the ability to connect to the network. With the Internet of Things technology to connect to the network, the automation system can be built on the Internet infrastructure to realize automatic perception and network-wide interaction. , automatic execution. Logistics automation systems are often rigid, linkage, and difficult to adjust.

As mentioned earlier, machine intelligence (MI) features distributed sensing, digital analysis, speeding iterations, and group intelligence. With these features and advantages, the flexible automation of the logistics system can be realized, bringing a huge revolution to the entire logistics industry.

Overall, the flexible automated logistics system has four major characteristics:

First, it is highly scalable and robust. The system can quickly deploy new automation equipment such as robots to process more orders; at the same time, the system is very robust and does not affect the entire warehouse when there is a problem with a single node.

Second, modular design according to the implementation function, easy to deploy and relocate. Different commodities in the logistics system often require different modes of operation. The logistics system needs to be modularized. Through modular design, the flexible automated logistics system can be easily deployed and relocated.

Third, it is easy to adjust the operation process according to business changes. The warehouse needs to constantly change the logistics operation mode according to the characteristics of the order goods to quickly adapt to the business development changes.

Fourth, logistics operations are more predictable when most of the logistics links are automated.

With the development of e-commerce, the logistics system provides a wide application scenario for flexible automation. In the intelligent distribution center, the use of group intelligence algorithms and IoT interconnection advantages, mobilization and management of various types of unmanned forklifts, picking AGV, distribution AGV, automatic sealing machine, palletizing robots and other logistics equipment, and in accordance with logistics automation The functions of the equipment are classified into parallel functional modules, modularized operation according to the operation requirements, multi-zone parallel operation according to the operation requirements, large-scale multi-agent planning and scheduling, and logistics such as warehousing, picking, packing, and distribution Full link flexible automation.

Furthermore, for the intelligent network of the whole network across the region, under the unified management and scheduling of the logistics brain, the cloud warehouse networking, distributed scheduling, and network optimization can be realized, and the flexible automatic dispatching management of the whole network of the logistics system can be realized. .

2. Machine intelligence promotes the development of "software-defined logistics"

"Software-defined logistics" refers to the digitization and virtualization of logistics hardware resources such as logistics operations facilities, equipment, and goods, and is classified into the basic logistics function modules and basic cargo units according to the unitization and standardization. On this basis, The application software is used for more open, flexible and intelligent management and scheduling of virtual hardware unit modules to realize intelligent management and control of the logistics system. The basic characteristics of software-defined logistics are hardware resource virtualization, programmable management processes, hardware intelligence upgrades, and system maintenance intelligence.

The process of hardware resource virtualization is the process of digitizing hardware resources. Therefore, digital logistics is the basis of software-defined logistics hardware; management process programming is the process of hardware resource scheduling and control software; hardware intelligence upgrade refers to hardware system iterative evolution It can be realized by upgrading the software; the intelligent maintenance of the system means that the hardware system can automatically mobilize resources through the program according to the requirements of the scenario, can predictively maintain the system, can maintain the system in different places, and can upgrade the system in different places, so that the hardware system can upgrade itself.

The network intelligent distributed sensing system of machine intelligence can realize the digitalization of the whole link of logistics, realize the digitization of all processes, and all digital processes; the intelligent intelligence of network intelligence of machine intelligence can organize the intelligent hardware of logistics system, intelligently dispatch and realize The management process of the logistics system is programmable; the ultra-speed iterative evolution of machine intelligence can be improved through the experience of the actual operation of the logistics system, big data analysis, and iterative optimization of the management system, continuously improving the machine group intelligence of the logistics system, and constantly upgrading by means of software upgrades. Achieve the wisdom upgrade of the logistics system.

"Software-defined logistics" will bring a series of smart logistics changes, so that smart logistics has the ability to self-learn, self-improve and self-upgrade.

3. Machine intelligence promotes the transformation of logistics system

At present, “pre-positions” have become a major trend in the development of modern e-commerce logistics, and many e-commerce companies have arranged pre-positions. With the help of big data analysis and intelligent analysis and forecasting, the front warehouse can realize the logistics first, realize the “time and space shuttle”, and put forward the future logistics operation demand, and deliver the goods to the “pre-position” nearest to the customer. Once the delivery demand order is issued, it is immediately delivered from the pre-position to the customer's home. This pre-storage distribution mode of “single unsold, goods first” changed the time and space of urban logistics distribution.

The development of the front warehouse, the distributed, networked, and multi-department layout of the storage system, due to the scattered storage and numerous outlets, will ensure a large amount of invalid inventory to ensure the distribution demand, resulting in a sharp rise in inventory costs. At the same time, predicting mistakes will bring a lot of inventory surplus and returns. The development of the front warehouse has brought a lot of pits, attracting many logistics experts to reflect on the problems of the front warehouse.

In fact, the problem with the front warehouse is mainly because the company's thinking in the layout of the front warehouse is still in the traditional front-loading. At the stage of distribution, it is only a matter of dispersing the goods before the storage.

Machine intelligence has cross-regional network-wide sensing capabilities, with networked distributed intelligence, logistics brains can also be deployed in the cloud, using big data, cloud computing, optimized operations and other technologies to accurately predict the logistics needs of the entire network, wisdom points Warehouse, network interaction, nearby replenishment, transfer between pre-positions, etc., to achieve smart pre-position.

The modern “Smart Pre-Warehouse” architecture is based on the intelligent logistics system. With the advantage of machine intelligence, it can realize the cloud warehouse interconnection, information exchange, facility equipment sharing and logistics operation interoperability. Through the pre-position technology, the future scattered and cross-regional distributed logistics distribution needs can be intensively distributed, thereby greatly improving the logistics distribution efficiency, reducing the number of vehicles entering the city, and achieving green distribution.

Secondly, the modern front warehouse is an interconnected cloud warehouse system. The front warehouse can be intelligently allocated according to the actual distribution demand. It can be replenished in real time with the warehouse network system, and can be inter-connected with the store. Adjustments, thus eliminating the various drawbacks of traditional pre-stocking.

The unique advantages of machine intelligence can also promote the construction of a three-dimensional intelligent system of logistics systems, which can interconnect and operate underground, underground and air logistics systems, thus bringing about a series of changes.

After understanding the difference between artificial intelligence and machine intelligence, we must give full play to the advantages of machine intelligence in the smart logistics system, rather than being limited to the constraints of human intelligence. We must first put the smart logistics system on the network, make full use of the advantages of machine intelligence networking; we must fully utilize the comprehensive sensing characteristics of machine intelligence, rather than being limited to our human perception of perception.

4. Machine intelligence makes logistics system intelligent beyond human

The networked intelligence of the machine is far beyond our humanity. In reality, we have often applied many machine intelligences beyond humans.

For example, when goods are shipped, human perception is limited to a small extent, but with machine intelligence, we can see where the traffic is far away, and understand the cause of traffic jams, let the system help us calculate the congestion time and provide us with intelligence. Switch the transportation line plan to realize intelligent scheduling and optimize the transportation path.


For example, if the logistics robot concentrates on the work area, if it relies solely on the individual intelligence of the “sense-analysis-decision-execution” of the logistics robot itself, it will bring many problems. If we use the distributed and networked features of machine intelligence, we will arrange many robot scheduling and path planning on the intelligent Internet of Things to form a large system combining online scheduling and planning with offline perception and operation. Due to the network intelligence, the route planning can avoid the crossover meeting of the robot moving path in many offline natural scenes, reduce the calculation of a large number of robot perception and control decisions, and also can be guided with the robot natural vision, the ground two-dimensional code, and the laser. The combination of infrared, Bluetooth and other technical navigation allows the robot to realize three-dimensional intelligent scheduling and navigation.

For example, we also use the intelligent transmission of machine intelligence and the advantages of comprehensive perception to achieve black light storage operations, without the need for lighting systems like our human storage operations...

In short, artificial intelligence and machine intelligence are both connected and different. Machine intelligence itself has the characteristics and advantages of machines. When constructing a smart logistics system, we do not need to let the machine learn humans in many aspects. If we directly exert the advantages of machine intelligence itself, It can promote the transformation and innovation of many smart logistics.

Reprinted from the network