桁架機(jī)械手自動(dòng)化搬運(yùn)碼垛The truss manipulator automatically handles palletizing |
發(fā)布時(shí)間:2024-06-11 11:03:44 | 瀏覽次數(shù): |
桁架機(jī)械手自動(dòng)化搬運(yùn)碼垛是一種在現(xiàn)代工業(yè)生產(chǎn)中廣泛應(yīng)用的自動(dòng)化技術(shù),它主要通過(guò)預(yù)先編程的機(jī)械臂或桁架式機(jī)器人,在固定的路徑或區(qū)域內(nèi)自動(dòng)完成物料的抓取、搬運(yùn)和堆疊(碼垛)等工作。這項(xiàng)技術(shù)在提高生產(chǎn)效率、減少人工成本、提升作業(yè)精度和安全性方面具有顯著優(yōu)勢(shì)。下面是對(duì)這一過(guò)程的詳細(xì)說(shuō)明: 1. 系統(tǒng)構(gòu)成 :典型的桁架機(jī)械手自動(dòng)化搬運(yùn)碼垛系統(tǒng)包括桁架式機(jī)械手(或稱作龍門(mén)式機(jī)器人)、末端執(zhí)行器(如吸盤(pán)、夾爪等)、控制系統(tǒng)(PLC或工業(yè)PC)、傳感器(如光電傳感器、接近開(kāi)關(guān)等)、輸送線以及碼垛區(qū)域。 2. 工作原理 : ? 物料識(shí)別與定位 :通過(guò)傳感器和視覺(jué)系統(tǒng)(如相機(jī))對(duì)物料進(jìn)行識(shí)別和定位,確保機(jī)械手能準(zhǔn)確抓取。 ? 抓取 :機(jī)械手的末端執(zhí)行器根據(jù)物料的形狀和材質(zhì)選擇合適的抓取方式(如真空吸取、夾持等)進(jìn)行抓取。 ? 搬運(yùn) :抓取后,機(jī)械手按照預(yù)定的路徑將物料搬運(yùn)到目標(biāo)位置。 ? 碼垛 :到達(dá)碼垛區(qū)域后,機(jī)械手根據(jù)設(shè)定的碼垛模式(如層數(shù)、排列方式等)將物料放下并整齊堆疊。 ? 循環(huán)作業(yè) :完成一次碼垛后,機(jī)械手返回初始位置,開(kāi)始下一輪的抓取搬運(yùn)過(guò)程,整個(gè)過(guò)程可以連續(xù)不斷地自動(dòng)執(zhí)行。 ? 應(yīng)用領(lǐng)域 :廣泛應(yīng)用于制造業(yè),如食品飲料、醫(yī)藥、化工、電子、物流倉(cāng)儲(chǔ)等行業(yè),尤其適合于重物搬運(yùn)、高頻率重復(fù)作業(yè)及危險(xiǎn)環(huán)境下的作業(yè)。 ? 優(yōu)勢(shì) : ? 高效性 :24小時(shí)不間斷工作,顯著提高生產(chǎn)效率。 ? 準(zhǔn)確性 :減少人為錯(cuò)誤,保證碼垛的精確性和一致性。 ? 靈活性 :可通過(guò)編程適應(yīng)不同的產(chǎn)品尺寸和包裝形式。 ? 安全性 :在有害或重體力勞動(dòng)環(huán)境下替代人工,降低工傷風(fēng)險(xiǎn)。 ? 發(fā)展趨勢(shì) :隨著人工智能、物聯(lián)網(wǎng)、機(jī)器視覺(jué)等技術(shù)的發(fā)展,桁架機(jī)械手的智能化水平將進(jìn)一步提升,實(shí)現(xiàn)更復(fù)雜的任務(wù)處理和更高效的協(xié)同作業(yè)。 Truss manipulator automatic handling and palletizing is an automation technology widely used in modern industrial production, which mainly uses pre-programmed robotic arms or truss robots to automatically complete the grabbing, handling and stacking (palletizing) of materials in a fixed path or area. This technology offers significant advantages in terms of increased productivity, reduced labor costs, and improved work accuracy and safety. Here's a detailed description of the process: 1. System Composition Typical gantry manipulator automated handling and palletizing systems include gantry manipulators (or gantry robots), end effectors (such as suction cups, grippers, etc.), control systems (PLC or industrial PC), sensors (such as photoelectric sensors, proximity switches, etc.), conveyor lines, and palletizing areas. 2. How it works : ? Material identification and positioning Sensors and vision systems (e.g. cameras) are used to identify and position the material to ensure that the robot can grasp it accurately. ?crawl The end effector of the manipulator selects the appropriate grasping method (such as vacuum suction, clamping, etc.) according to the shape and material of the material. ?carry : After grabbing, the manipulator moves the material to the target location according to a predetermined path. ?Palletizing After arriving at the palletizing area, the manipulator will put down the materials and stack them neatly according to the set palletizing mode (such as the number of layers, arrangement, etc.). ? Cyclical operation After completing a palletizing, the manipulator returns to the initial position and starts the next round of grasping and handling process, and the whole process can be continuously and automatically. ? Fields of application It is widely used in manufacturing, such as food and beverage, pharmaceutical, chemical, electronics, logistics and warehousing industries, especially suitable for heavy loads, high-frequency repetitive operations and operations in dangerous environments. ?advantage : ? High efficiency : 24 hours of uninterrupted work, significantly improve production efficiency. ?accuracy : Reduce human error and ensure the accuracy and consistency of palletizing. ?flexibility : Can be programmed to adapt to different product sizes and packaging formats. ?security : Replace labor in hazardous or heavy physical labor environments to reduce the risk of work-related injuries. ? Trends With the development of artificial intelligence, Internet of Things, machine vision and other technologies, the intelligent level of truss manipulators will be further improved, and more complex task processing and more efficient collaborative work will be realized. |
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