提高可持續性
這種對運輸制造自動化的依賴也使工廠變得更具可持續性。機器人可能需要能量來運行，但它們也讓設施能夠更好地控制它們消耗的能量。這些機器人系統在工作時會生成有關其效率和能源使用的數據，指導流程改進以程度地減少能源浪費。
 
較新的機器人甚至可以自動調整其操作以盡可能少地使用能源。軟件機器人可以更進一步，分析工廠數據，以洞察如何變得更加可持續。然后，汽車制造商可以盡可能減少對環境的影響。
 
變得更具可持續性對于運輸行業至關重要。平均每輛汽車每年產生超過2 噸的二氧化碳，這為該行業提供了很大的改進空間。該行業制造方面的這些流程改進有助于彌補其碳排放的歷史。
 
高效物流
當人們想到“機器人”時，可能不會想到軟件機器人，但它們是一些最有價值的機器人應用程序。事實證明，這些人工智能程序在運輸物流領域特別有用。通過將數據輸入軟件機器人，供應鏈在過去幾年變得更加高效。
 
一些人工智能物流程序分析了數百萬次航運交易中超過2.5 億個數據點。借助這些數據，他們可以深入了解物流公司如何優化其負載、路線和外包以節省時間和金錢。類似的系統會實時調整司機的導航，以產生最有效的送貨路線。
 
物理機器人也有助于提高物流效率。與完全手動的過程相比，自動化系統可以與人類一起工作，在更短的時間內裝卸卡車。隨著物理和軟件機器人的改進，貨運將變得越來越高效。


1394-SJT10-C-RL 的技術規格

品牌	艾倫-布拉德利
零件號/目錄號	1394-SJT10-C-RL
生產線	伺服控制器
模塊類型	系統
額定功率	5 千瓦

1394-SJT05-C 由 Allen-Bradley 制造，用作 GMC 標準系統模塊，與多軸運動控制系統的 1394 產品公告一起使用。該組件具有嵌入式 RS232 / 422 和 DH485 功能以及 AxisLink 和遠程 I/O 通信端口。
由于配備遠程 I/O 通信端口，該模塊能夠在 GMC Turbo 和 Standard 系統以及 Allen-Bradley 的 SLC 500 和 PLC 5 控制器平臺之間進行數據交換。此外，AxisLink 通信還可專門用于與網絡中的其他系統模塊直接通信。也可用于設置網絡中的主軸。

為系統模塊接線時，請使用 MTW 型銅線，它是一種 75 度的機床線。攝氏度。使用 12 AWG 電線尺寸（3.3 平方毫米）。最小化噪聲和接地回路，分離反饋并確保系統正確接地，以確保系統平穩運行。系統模塊設計逆變器載波頻率為5000Hz。輸出逆變器開關輸出載波頻率為 10,000 Hz。這可能會成為額外的噪聲源，可能會影響安裝在模塊附近的敏感設備。

在機柜內布線時，將低壓、通信、控制 I/O 和電機反饋電纜與電源線和 460 / 380 VAC 電源分開。每個應有不同的入口點。高低壓線90度交叉。不要在同一電纜管理托盤中運行低壓和高壓電線。

This reliance on automation in transportation manufacturing also enables factories to become more sustainable. Robots may take energy to operate, but they also let facilities take more control over the power they consume. These robotic systems produce data about their efficiency and energy use as they work, guiding process improvements to minimize energy waste.

Newer robots can even adjust their operations automatically to use as little energy as possible. Software robots can go a step further, analyzing factory data to produce insights into how to become more sustainable. Automakers can then minimize their environmental footprint as much as possible.

Becoming more sustainable is essential for the transportation industry. The average car produces more than 2 tons of carbon dioxide every year, giving the sector much room to improve. These process improvements on the manufacturing side of the industry help it make up for its history of carbon emissions.

Software robots may not be what comes to mind when people think of “robotics,” but they’re some of the most valuable robotics applications. These AI programs have proven particularly helpful in the logistics sector of transportation. By feeding data into software robots, supply chains have become far more efficient in the past few years.

Some AI logistics programs analyze more than 250 million data points across millions of shipping transbs. With this data, they produce insights into how logistics companies can optimize their loads, routes, and outsourcing to save time and money. Similar systems adjust drivers’ navigation in real-time to produce the most efficient delivery routes possible.

Physical robots help improve logistics efficiency, too. Automated systems can work alongside humans to load and unload trucks in far less time than an entirely manual process. As both physical and software robots improve, freight transportation will become increasingly efficient.

Some of the ways robotics improve transportation are less direct. For example, one of the most innovative but less publicized use cases for robots in transport is road maintenance. Researchers have recently developed automated systems that can help detect and repair roads, helping governments improve infrastructure more efficiently.

In 2019, scientists designed a drone that can detect road damage, showing relevant authorities where to target their repair efforts. One U.K.-based company is developing a robot that can detect and fix potholes and cracks, automating the entire repair process. With advancements like this, roadways can become safer, faster.

Employing these robots will improve the perbance of other transportation robotics, too. Self-driving vehicles will have an easier time navigating on roads that are in good condition.

Whether the public realizes it or not, robots have become a critical part of the transportation sector. From manufacturing to logistics to passenger transport, robotics have influenced and continue to influence every aspect of transportation. As these technologies drive further innovation, they will become inseparable from the industry.