WO2015179998A1 - 一种制造最佳化的平台及方法 - Google Patents

一种制造最佳化的平台及方法 Download PDF

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Publication number
WO2015179998A1
WO2015179998A1 PCT/CN2014/000804 CN2014000804W WO2015179998A1 WO 2015179998 A1 WO2015179998 A1 WO 2015179998A1 CN 2014000804 W CN2014000804 W CN 2014000804W WO 2015179998 A1 WO2015179998 A1 WO 2015179998A1
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cloud server
server
analysis
analysis tool
sensor
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PCT/CN2014/000804
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English (en)
French (fr)
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林家亿
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林家亿
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/22—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • the present invention relates to a production system, and more particularly to a platform and method for manufacturing optimization, using a junction box to provide data on a production machine to a cloud server, and using a plurality of analysis tools provided by a proxy server.
  • Manufacturing plants use a wide range of machines to produce products that directly impact the cost of the product and the profitability of selling the product.
  • the general production system also uses employees to look after the machine frequently, enter production data and generate reports, and then the manager analyzes the report.
  • This method of operation is not only inefficient, but it is easy to input errors when data is input, and when the error data is cleared, the report may be ignored and the productivity may not be improved.
  • the present invention provides a platform and method for optimizing the manufacturing to obtain data of the production machine and analyze the data by using an intelligent analysis tool to effectively overcome the above problems.
  • a primary object of the present invention is to provide a platform and method for manufacturing optimization that utilizes a junction box to provide data on a production machine to a cloud server and utilizes multiple analysis tools provided by a proxy server to increase production efficiency.
  • the manufacturing optimization platform provided by the present invention includes:
  • a proxy server for downloading the analysis tool of the application server and storing the same
  • junction box that receives sensing data output by a machine sensor
  • a cloud server receives the sensing data of the junction box, accesses the analysis tool, analyzes the sensor data by using the analysis tool to obtain a plurality of analysis results, and provides a plurality of analysis results to a client device.
  • the method for manufacturing an optimized platform provided by the present invention comprises the following steps:
  • the proxy server provides the analysis tool to a cloud server
  • the junction box transmits the sensor data to the cloud server in real time
  • the cloud server receives the sensor data
  • the cloud server provides the plurality of analysis results of the analysis tool to a client device
  • a plurality of analysis results are displayed on a service dashboard of the client device.
  • the platform and method for manufacturing optimization provided by the present invention include a junction box, an application server, a proxy server and a cloud server. .
  • the junction box includes a hardware box having a plurality of electronic circuits, firmware, software, and a plurality of input/output connections, the junction boxes being coupled to a plurality of sensors on a production machine.
  • the junction box requires and receives appropriate and accurate data from the sensor while transmitting the data to the cloud server in real time.
  • the application server includes a number of analysis tools and management applications that are still in development or have been developed by application developers and programmers and exposed on the application server.
  • the proxy server includes multiple analysis tools and management tools downloaded from the application server, which can be directly used on the proxy server or downloaded to the cloud server.
  • Analytical tools and management tools analyze sensor data and product effectiveness to manage productivity and maximize environmental performance.
  • analysis and management tools include troubleshooting, production scheduling, quality control, health diagnostics, utilization magnifiers, and energy monitoring.
  • the cloud server includes a plurality of analysis tools and management tools provided by the proxy server, and the sensor data of the junction box is obtained in real time by using an analysis tool and a management tool available on the proxy server or directly used on the cloud server.
  • the platform and method for manufacturing optimization provided by the present invention further includes a client device including a service meter
  • the board displays the performance of many results of the analysis tools and management tools provided by the cloud server.
  • the client device can effectively monitor and manage multiple indicators of the product through the service dashboard, and communicate with the cloud server.
  • the present invention can effectively, efficiently monitor, analyze, and manage production processes, increase machine and production efficiency, reduce costs, increase profitability, and optimize the manufacturing process.
  • FIG. 1 is a block diagram showing a platform and method for manufacturing optimization according to the present invention
  • FIG. 2 is a flow chart of an embodiment of a platform and method for manufacturing optimization according to the present invention
  • FIG. 3 is a schematic diagram of an embodiment of a plurality of cloud servers in a platform and method for manufacturing optimization according to the present invention
  • FIG. 4 is a schematic view showing an embodiment of a plurality of junction boxes in the platform and method for manufacturing optimization according to the present invention
  • 5A is a schematic diagram of an embodiment of a service dashboard on a client device according to the present invention.
  • FIG. 5B is a schematic diagram of another embodiment of a service instrument panel on a client device according to the present invention.
  • the present invention provides a platform and method for manufacturing optimization, please refer to FIG.
  • the manufacturing optimized platform 100 is composed of an application server 110, a proxy server 120, a junction box 130, a cloud server 140, and a client device 150.
  • the application server 110 is connected to the proxy server 120, the proxy server 120 is connected to the application server 110 and the cloud server 140, and the junction box 130 is connected to the cloud server 140 and a plurality of sensors of a production machine, and the client device
  • the cloud server 140 is connected to the cloud server 140, and the cloud server 140 is connected to the proxy server 120, the junction box 130, and the client device 150.
  • the application server 110, the proxy server 120, the junction box 130, the cloud server 140, and the client device 150 also include a wireless or wired network, or a wireless and wired network. combination.
  • the application server 110, the proxy server 120, the cloud server 140, and the client device 150 include a plurality of servers, computers, tablets, smart phones, or other electronic devices that can interface with the platform 100.
  • Application server 110 includes a number of analysis and management tool applications that are currently in development or have been developed and dispatched for use. Developers will utilize application server 110 to build and plan these analysis and management tools. Once these analysis and management tools are ready to be dispatched, these analysis and management tools will be published in application server 110 and communicated to proxy server 120.
  • the proxy server 120 interfaces with the application server 110 to access and download these published analysis and management tools.
  • analysis and management tools include tools such as data acquisition, health indicattor extraction and selection, health assessment, visualization, performance prediction, quality analysis, design. (projection), inventory, equipment effectiveness, detection and production, troubleshooting, production scheduling, quality control, health diagnostics, utilization magnifier, Energy monitoring, knowledge management, data analysis, system management, customer management, remote monitoring, technical documentation, service management, scheduling, and employee management.
  • the various customization tools developed by the cloud server 140 from the proxy server 120 and developed by the application server 110 can meet various special requirements put forward by users of the cloud server 140.
  • Junction box 130 includes a hardware box with multiple electronic circuits, firmware, software, and multiple input/output connections. Junction box 130 is coupled to a plurality of sensors on a production machine. Junction box 130 requires and receives appropriate and accurate data for the sensor while transmitting the data to cloud server 140 in real time.
  • sensors include a variety of sensors, such as, for example, programmable logic controllers (PLCs), computer numerical control (CNC) controllers, pressure sensors, power sensors, vibration sensors. (vibration sensors), temperature sensors, acoustic sensors, global positioning system (GPS) sensors, enterprise resource planning (ERP), manufacturing execution systems (MES), and information Technology (IT) system.
  • PLCs programmable logic controllers
  • CNC computer numerical control
  • pressure sensors pressure sensors
  • power sensors power sensors
  • vibration sensors vibration sensors
  • temperature sensors temperature sensors
  • acoustic sensors acoustic sensors
  • GPS global positioning system
  • ERP enterprise resource planning
  • MES manufacturing execution systems
  • IT information Technology
  • Junction box 130 can be configured to connect a desired single or multiple sensors and receive the desired sensor data.
  • the cloud server 140 receives the sensor data in real time from the junction box 130.
  • the cloud server 140 can also reconfigure multiple sensors that interface with the junction box 130.
  • Cloud server 140 includes a set of multiple analysis and management tools provided by proxy server 120.
  • the cloud server 140 utilizes these analysis and management tools available to the proxy server 120, or directly for the cloud server 140, while receiving sensor data from the junction box 130 in real time.
  • these analysis and management tools will be stored in the local machine and executed on the cloud server 140.
  • these analysis and management tools will be stored and executed on the proxy server 120.
  • the manufacturing optimized platform 100 and method provided by the present invention even includes a client device 150.
  • the client device 150 includes a dashboard 160 for effectively visualizing the results of various results of the analysis and management tools provided by the cloud server 140.
  • the manufacturing optimized platform and method 200 includes a plurality of established analysis and management tools, such as step 210.
  • the application developer utilizes the application server to build and develop the analysis and management tools for the platform.
  • these development or completed analysis and management tools will be stored in the application server. When these tools are developed, they will be published on the application server, and the proxy server will be notified that the analysis and management tools are ready to be dispatched. These analysis and management tools will be stored in the application server during and after development.
  • the proxy server receives a notification that after the application and the plurality of management tools have been released, the application and the plurality of management tools will be downloaded from the application server to the proxy server. At this point, the cloud server will be notified of new or updated versions of these analysis and management tools.
  • step 240 these analysis and management tools on the proxy server will be provided to the cloud server.
  • these analysis and management tools will be automatically downloaded to the cloud server.
  • these analysis and management tools will be downloaded by the cloud server as needed or desired.
  • the junction box interfaces with the machine sensor or with a plurality of sensors that receive appropriate sensor data transmitted from the sensor(s).
  • the sensor data may include, for example, temperature, viscosity, noise level, vibration, amount or volume of material, product count, and the like.
  • the junction box will transmit sensor data to the cloud server in real time.
  • the transmitted sensor data will be received by the cloud server.
  • the cloud server will use these analysis and management tools for sensor data. For example, when the sensor data contains the current temperature of the mechanical mold, the analysis and management tool will track the temperature and generate a record of the temperature. When the temperature is too high or too low, a Alerts, as well as other useful analyses.
  • step 290 the results from these analysis and management tools on the sensor data will be provided to the client device via the cloud server. In one embodiment of the invention, these results will be automatically transmitted to the client device. In yet another embodiment, once a request is sent from the client device, the results will be provided.
  • step 295 the results will be displayed on the service dashboard in the client device.
  • the present invention provides a configuration of many cloud servers and platform services, which is quite flexible for the client.
  • multiple cloud servers are connected to the proxy server 120, the cloud server A 140A is connected to the junction box A 130A, and the cloud server B 140B is connected. Connected to junction box B 130B, and cloud servers 140A and 140B are connected to the same proxy server 120.
  • the cloud server A 140A is configured as a private cloud server, including private data for client-only access.
  • the cloud server A 140A is connected to the proxy server to download analysis and management tools, and all data such as sensor data, product data, and analysis data. And management data, etc., will remain in the cloud server A 140A and will not be disclosed.
  • Private cloud servers, such as the Cloud Server A 140A provide high-level security for sensitive manufacturing data to clients.
  • the cloud server B 140B is configured as a semi-public cloud server, and part or all of the data thereon can be accessed by the proxy server 120, and the proxy server 120 provides the cloud data service and the analysis and management tool management service to the cloud server B 140B. For example, the proxy server 120 periodically updates the analysis and management tools, provides access to new tools, performs analysis on product data, and maintains the Cloud Server B 140B.
  • Semi-public cloud servers, such as Cloud Server B 140B are economically viable for smaller companies or clients without the need for a technical support team.
  • the analysis and management tool is for paid use, and the client can select the required analysis and management tools and pay for the use, instead of buying the tool, to avoid the client buying the unwanted tools. More minus The cost of erecting the platform is less.
  • the analysis and management tools are purchased separately, and the price is determined based on the complexity of the tool.
  • the analysis and management tool is used for renting.
  • the client When the client is used or the tool is no longer needed, it can be returned.
  • the tool For example, if the tool is an inventory efficiency tool, it is analyzed annually. Once, the client only needs to rent one year or short-term loan, and return the tool after use.
  • the junction box is leased to the client, which provides the flexibility to increase or decrease the number of junction boxes when the junction box is added to or removed from the production equipment; and as such, the present invention
  • the cost of the platform can be easily controlled by the client, and the initial cost is lower than the cost of purchasing the junction box at the beginning.
  • FIG. 4 is a schematic diagram of multiple junction boxes connected to the same cloud server.
  • Junction box A 130A is connected to machine A 300A and receives sensor data of sensor A, sensor B and sensor C thereon, and junction box A 130A transmits the received sensor data to cloud server 140.
  • the junction box D 130D is connected to the machine D 300D and receives sensor data of the sensor D and the sensor E thereon, and the junction box D 130D transmits the received sensor data to the cloud server 140.
  • the cloud server 140 is connected to a plurality of client devices (the client device F 150F and the client device G150G), and the data may include sensor data, analysis data, management data, and machine data of the machine A 300A and the machine D 300D, and the client device F 150F
  • the client device G 150G has the right to access data simultaneously or separately on the cloud server 140.
  • the service dashboard 160 of the client device 150 provides the user with access to the analysis results and data provided by the cloud server.
  • the service dashboard 160 includes a display for displaying available tools, reports, drawings, graphs, maps, history information, work records, schedules, quantities, inventory lists, files, orders, or designs.
  • the service dashboard 160 displays images 160A-160F of available tools and data, which can be accessed by the user of the client device 150. After clicking on one of the images, the display intent of the image is displayed. For example, if the user selects an image of the product quantity on the service dashboard 160, it will display a historical record of current production and past production, so that the user can view valuable information in real time and easily. , different from passing a printed report.
  • the service dashboard 160 is configured for individual users and only displays the appropriate tools and data for For each user, for example, quality assurance employees will not see money, orders, and shipping information, avoiding too much information and creating confusion for the easy-to-use platform.
  • the service dashboard 160 is configured to display appropriate data on the client device 150 in real time, for example, a person working at the production floor can see the real-time machine on his client device 150. Performance chart without being bothered by unwanted data.

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Abstract

一种制造最佳化的平台及方法，包括一接线盒（130）、一应用服务器（110）、一代理服务器（120）及一云端服务器（140），其中接线盒（130）与生产机器上的传感器相接，接收从传感器传来的适当数据，并将数据实时传送到云端服务器（140）；代理服务器（130）包括多个分析工具及管理工具，其由应用服务器（110）开发并下载到代理服务器（120）中，分析工具及管理工具分析传感器数据及产品有效结果，以管理生产效率，将环境效能全面最大化；云端服务器（140）接收从接线盒（130）实时传送的传感器数据，利用代理服务器（120）上可用的、或直接在云端服务器（140）上可用的分析工具及管理工具取得分析结果，将其提供给客户端装置（150）。

Description

一种制造最佳化的平台及方法 技术领域
本发明涉及一种生产系统，特别是指一种制造最佳化的平台及方法，利用一接线盒将生产机器上的数据提供给云端服务器，并运用代理服务器提供的多个分析工具。
背景技术
制造工厂使用众多的机器来生产产品，机器的效能会直接影响到产品的成本和贩卖产品时的盈利。
为了增加机器效能，传统工厂会雇用大量的技术员以维持机器运作。
一般生产系统亦使用雇员经常性的看顾机器、输入生产数据及产生报告，之后由管理者分析报告。
此操作方法不但没有效率，且数据输入时容易输入错误，而当清除错误数据时，报告可能会被忽略而不能增进生产效率。
有鉴于此，本发明遂针对上述现有技术的缺失，提出一种制造最佳化的平台及方法，以获得生产机器的数据并利用智能分析工具分析数据，以有效克服上述该等问题。
发明内容
本发明的主要目的在于提供一种制造最佳化的平台及方法，其利用一接线盒将生产机器上的数据提供给一云端服务器，并运用一代理服务器提供的多个分析工具增进生产效率。
其中，本发明提供的制造最佳化的平台，包括：
一应用服务器，用以开发并公开一分析工具；
一代理服务器，用以下载该应用服务器的该分析工具并储存；
一接线盒，接收一机器传感器所输出的感测数据；以及
一云端服务器，接收该接线盒的该感测数据，存取该分析工具，利用该分析工具分析该传感器数据以取得多个分析结果，并提供多个分析结果给一客户端装置。
其中，本发明提供的制造最佳化平台的方法，包括下列步骤：
产生一分析工具；
将该分析工具储存在一应用服务器上；
将该分析工具从该应用服务器传送给一代理服务器；
该代理服务器将该分析工具提供给一云端服务器；
利用一接线盒接收一机器传感器所输出的传感器数据；
该接线盒实时将该传感器数据传送给该云端服务器；
该云端服务器接收该传感器数据；
利用该分析工具分析该传感器数据；
该云端服务器将该分析工具的多个分析结果提供给一客户端装置；以及
将多个分析结果显示在该客户端装置的一服务仪表板上。
综合上述本发明提供的制造最佳化的平台和制造最佳化平台的方法可知，本发明提供的制造最佳化的平台及方法包括一接线盒、一应用服务器、一代理服务器及一云端服务器。
接线盒包括一硬件盒，其具有多个电子回路、韧体、软件以及多个输入/输出连接件，接线盒与一生产机器上的多个传感器连接。
接线盒对传感器要求并接收适当且精确的数据，同时将该数据实时传送至云端服务器上。
应用服务器包括多个目前仍处于开发阶段、或已由应用程序开发者和编程者完成开发并公开在应用服务器上的分析工具及管理应用程序。
代理服务器包括从应用服务器下载的多个分析工具及管理工具，可直接在代理服务器上使用或下载至云端服务器。分析工具及管理工具可分析传感器数据及产品有效结果，以管理生产效率，将环境效能全面最大化。举例而言，分析及管理工具包括除错(troubleshooting)、生产计划(production scheduling)、质量控制、健康诊断、使用率放大镜(utilization magnifier)及能源监控(energy monitoring)。
云端服务器包括多个由代理服务器提供的分析工具及管理工具，利用代理服务器上可用的、或可直接在云端服务器上使用的分析工具及管理工具实时取得接线盒的传感器数据。
本发明提供的制造最佳化的平台及方法更包括一客户端装置，其包括一服务仪表 板以显示一云端服务器所提供分析工具及管理工具的众多结果的效能示意图，客户端装置通过服务仪表板可有效的监控及管理产品的多个指标，并与云端服务器沟通。
因此，本发明可有效地、高效地监控、分析及管理生产流程，增加机器及生产效率、降低成本、增加盈利，将制造过程最佳化。
附图说明
图1为本发明制造最佳化的平台及方法的方块示意图；
图2为本发明制造最佳化的平台及方法的一实施例的流程图；
图3为本发明制造最佳化的平台及方法中多个云端服务器的实施例示意图；
图4为本发明制造最佳化的平台及方法中多个接线盒的实施例示意图；
图5A为本发明中客户端装置上一服务仪表板的实施例示意图；
图5B为本发明中客户端装置上一服务仪表板的另一实施例示意图。
附图标记说明：100-制造最佳化的平台；110-应用服务器；120-代理服务器；130-接线盒；130A-接线盒A；130B-接线盒B；130D-接线盒D；140-云端服务器；140A-云端服务器A；140B-云端服务器B；150-客户端装置；150F-客户端装置F；150G-客户端装置G；160-服务仪表板；160A、160B、160C、160D、160E、160F-图像；300A-机器A；300D-机器D。
具体实施方式
本发明提供了一种制造最佳化的平台及方法，请参考图1。
制造最佳化的平台100是由一应用服务器110、代理服务器120、接线盒130、云端服务器140，以及一客户端装置150组成。
应用服务器110与代理服务器120相接，代理服务器120与应用服务器110和云端服务器140相接，接线盒130与云端服务器140和一台生产机器(production machine)的多个传感器相接，客户端装置150与云端服务器140相接，而该云端服务器140则与代理服务器120、接线盒130以及客户端装置150相接。
应用服务器110、代理服务器120、接线盒130、云端服务器140以及客户端装置150彼此间的相接处还包含了一无线或有线网络，或是一个由无线及有线网络构成的 组合。
应用服务器110、代理服务器120、云端服务器140以及客户端装置150包含了多个服务器、计算机、平板电脑、智能手机或其他能够与平台100相接的电子装置。
应用服务器110包含多个目前仍处于开发阶段，或已经完成开发且可分派使用的分析及管理工具应用程序。开发者们会利用应用服务器110建立和规划这些分析及管理工具，一旦这些分析及管理工具准备好分派时，这些分析及管理工具将会被发布于应用服务器110中，并告知代理服务器120。
代理服务器120与应用服务器110相接，以存取并下载这些发布出来的分析及管理工具。
这些分析及管理工具包含多种工具，举例来说，如数据采集(data acquisition)、健康指标的筛选(health indicattor extraction and selection)、健康评估、可视化、性能预测(performance prediction)、质量分析、设计(projection)、存货清单(inventory)、设备有效性(equipment effectiveness)、侦测和生产、除错(troubleshooting)、生产计划(production scheduling)、质量控制、健康诊断、使用率放大镜(utilization magnifier)、能源监控(energy monitoring)、知识管理(knowledge management)、数据分析、系统管理、客户管理、远程监控(remote monitoring)、技术文件、服务管理、排程以及雇员管理。
由云端服务器140来自代理服务器120所提出的要求，且由应用服务器110开发的各种客制化工具，皆可符合云端服务器140的使用者们所提出的各式特殊需求。
接线盒130包含了一个带有多个电子回路、韧体、软件以及多个输入/输出连接件的硬件盒(hardware box)。接线盒130则与一台生产机器上的多个传感器相连。接线盒130对传感器要求并接收适当且精确的数据，同时将该数据实时传送至云端服务器140上。
这些传感器包含多种传感器，举例来说，如可编程逻辑控制器(programmable logic controllers，PLC)、计算机数值控制(computer numerical control，CNC)控制器、压力传感器、功率传感器(power sensors)、震动传感器(vibration sensors)、温度传感器、声响传感器(acoustic sensors)、全球定位系统(global positioning system，GPS)传感器、企业资源计划(enterprise resource planning，ERP)、制造执行系统(manufacturing execution systems，MES)以及信息科技(IT)系统。
接线盒130可配置用于连接想要的单个或多个传感器，并接收想要的传感器数据。
云端服务器140会从接线盒130实时接收该传感器数据。云端服务器140亦可对与接线盒130相接的多个传感器重新组态。云端服务器140包含一组由代理服务器120所提供的多个分析及管理工具。云端服务器140会利用这些可用于代理服务器120，或可直接用于云端服务器140的分析及管理工具，同时接收从接线盒130实时传来的传感器数据。在本发明的一项实施例中，这些分析及管理工具将储存于本机中，并于云端服务器140上执行。而在另一项实施例中，这些分析及管理工具将储存并执行于代理服务器120上。
本发明提供的制造最佳化的平台100与方法甚至还包含了客户端装置150。客户端装置150包含一仪表板160，用以作为显示云端服务器140所提供的分析及管理工具的各种结果中的一项有效可视化结果。
请参考图2。
制造最佳化的平台及方法200包含了多个建立的分析及管理工具，如步骤210。在步骤210中，应用程序开发者会利用该应用服务器，建立并开发这些用于该平台的分析及管理工具。在步骤220中，这些开发中或已完成的分析及管理工具将会储存于应用服务器中。当这些工具开发完成后，这些工具将被发布于该应用服务器上，同时代理服务器将被通知该分析及管理工具已能够进行分派。开发进行期间及发布后，这些分析及管理工具将被储存于应用服务器中。
在步骤230中，该代理服务器收到通知，得知该应用程序和多个管理工具已经发布后，该应用程序和多个管理工具将会从该应用服务器中下载至代理服务器。此时，该云端服务器将会得知这些分析及管理工具的新版本或已更新版本。
在步骤240中，这些在代理服务器上的分析及管理工具将会提供至该云端服务器中。在本发明的一项实施例中，这些分析及管理工具将会自动地被下载至该云端服务器中。而在本发明的另一项实施例中，这些分析及管理工具将如其需求或期待，被云端服务器所下载。
在步骤250中，接线盒会与机器传感器相接、或是与接收从(多个)传感器所传送的适当的传感器数据的多个传感器相接。该传感器数据举例而言可包括温度、黏度(viscosity)、噪音程度、震动、材料数量或体积、生产数量(product count)等等。在步骤 260中，接线盒将会实时把传感器数据传输至云端服务器中。在步骤270中，被传输的传感器数据将由云端服务器接收。
在步骤280中，云端服务器会将这些分析及管理工具用于传感器数据上。举例来说，当该传感器数据包含了机械模具的当前温度时，则该分析及管理工具便会追踪该温度，同时产生该温度的记录，当该温度过高或过低时，还将产生一个警报，以及其他有用的分析。
在步骤290中，来自这些在传感器数据上的分析及管理工具的结果，将会通过云端服务器提供给客户端装置。在本发明的一项实施例中，这些结果将会自动被传输至客户端装置上。而在另一项实施例中，一旦从客户端装置传来一个需求时，这些结果将会被提供。
在步骤295中，这些结果将会显示在客户端装置中的服务仪表板上。
请参考图3。本发明提供许多云端服务器及平台服务的配置，对客户端而言相当弹性，在图3中，多个云端服务器与代理服务器120连接，云端服务器A 140A与接线盒A 130A连接、云端服务器B 140B与接线盒B 130B连接，且云端服务器140A及140B连接到同一代理服务器120。
云端服务器A 140A配置为一个私密云端服务器，包括仅供客户端存取的私密数据，云端服务器A 140A连接至代理服务器以下载分析及管理工具，所有的数据，如传感器数据、产品数据、分析数据及管理数据等，皆会保留在云端服务器A 140A中且不会被公开。私密云端服务器，如云端服务器A 140A，对于敏感的制造数据可提供高阶的安全性给客户端。
云端服务器B 140B配置为一个半公开云端服务器，其上的部分数据或所有数据可被代理服务器120存取，代理服务器120提供云端数据服务和分析及管理工具管理服务给云端服务器B 140B。举例而言，代理服务器120定期更新分析及管理工具，提供存取新工具、在产品数据上执行分析、及维持云端服务器B 140B。半公开云端服务器，如云端服务器B 140B，对于较小型的公司或客户端而言具有较高的经济效益来维持，而不需要技术支持团队。
在本发明的一实施例中，分析及管理工具为付费使用，客户端可选择所需的分析及管理工具并付费使用，而不是买下该工具，可避免客户端买下不需要的工具，更减 少本发明架设平台所花费的成本。
在本发明的一实施例中，分析及管理工具为分别购买，依据工具的复杂度来决定价格。
在本发明的一实施例中，分析及管理工具为租借使用，当客户端使用完毕、或不再需要该工具时，可将其归还，举例而言，若工具为存货清单效率工具，每年分析一次，则客户端只需一年租借一次或是短期租借，用完之后归还工具即可。
在本发明的一实施例中，接线盒为租借给客户端，这提供了接线盒加入生产设备或从生产设备上移除时，接线盒数目增减的弹性；且如此一来，本发明的平台所需成本可轻易被客户端控制，初始成本比一开始购买接线盒的成本低。
请参考图4，其为多个接线盒连接到同一云端服务器的示意图。接线盒A 130A连接至机器A 300A，并接收其上的传感器A、传感器B及传感器C的传感器数据，接线盒A 130A再将接收到的传感器数据传送到云端服务器140。接线盒D 130D连接至机器D 300D，并接收其上传感器D及传感器E的传感器数据，接线盒D 130D将接收到的传感器数据传送给云端服务器140。
云端服务器140连接至多个客户端装置(客户端装置F 150F和客户端装置G150G)，数据可包括机器A 300A和机器D 300D的传感器数据、分析数据、管理数据及机器数据，客户端装置F 150F和客户端装置G 150G具有同时或各自在云端服务器140上存取数据的权利。
请参考图5A及图5B，客户端装置150的服务仪表板160提供使用者存取云端服务器所提供的分析结果和数据。服务仪表板160包括一显示器，用以显示可用工具、报告、绘图、曲线图、地图、历史信息、工作记录、排程表、数量、存货列表、文件、订单或设计。
在图5A及图5B的实施例中，服务仪表板160显示可用工具和数据的图像160A-160F，客户端装置150的用户可进行存取，点击其中一图像后，会显示该图像的显示意向，举例而言，若使用者在服务仪表板160上选择一产品数量的图像，则会显示出目前产量及过去产量的历史记录，如此一来，用户可实时性、易于看出有价值的信息，有别于通过一印制报表。
在一实施例中，服务仪表板160配置给个别用户，且仅显示适当的工具和数据给 每一用户，举例而言，质量保证员工不会看到金钱、订单及运输信息，避免信息过多而使简易使用的平台产生混乱。
在一实施例中，服务仪表板160的配置为实时将适当的数据显示在客户端装置150上，举例而言，在生产楼层工作的人可在他的客户端装置150上看到实时的机器效能图表，而不会被不需要的数据所打扰。
以上所述，仅为本发明的较佳实施例而已，并非用来限定本发明实施的范围。故凡是依本发明权利要求范围所述的特征及精神所为的均等变化或修饰，均应包括于本发明的保护范围内。

Claims (10)

  1. 一种制造最佳化的平台，其特征在于，包括：
    一应用服务器，用以开发并公开一分析工具；
    一代理服务器，用以下载该应用服务器的该分析工具并储存；
    一接线盒，接收一机器传感器所输出的感测数据；以及
    一云端服务器，接收该接线盒的该感测数据，存取该分析工具，利用该分析工具分析该传感器数据以取得多个分析结果，并提供多个分析结果给一客户端装置。
  2. 如权利要求1所述的制造最佳化的平台，其中该客户端装置更包括一服务仪表板，用以显示该云端服务器所提供的多个分析结果。
  3. 如权利要求1所述的制造最佳化的平台，其中该云端服务器为一私密云端服务器，仅供一客户端存取，或该云端服务器为一半公开云端服务器，供该代理服务器存取。
  4. 如权利要求2所述的制造最佳化的平台，其中该服务仪表板包括一显示器，用以显示可用工具、报告、绘图、曲线图、地图、历史信息、工作记录、排程表、数量、存货列表、文件、订单或设计；该传感器数据包括可编程逻辑控制器、计算机数值控制控制器、压力传感器、功率传感器、震动传感器、温度传感器、声响传感器、全球定位系统传感器、企业资源计划、制造执行系统及信息科技系统。
  5. 如权利要求1所述的制造最佳化的平台，其中该分析工具包括数据分割、健康指针的筛选、健康评估、可视化、性能预测、质量分析、设计、存货清单、设备有效性、侦测和生产、除错、生产计划、质量控制、健康诊断、使用率放大镜、能源监控、知识管理、数据分析、系统管理、客户管理、远程监控、技术文件、服务管理、排程以及雇员管理。
  6. 如权利要求1所述的制造最佳化的平台，其中该分析工具为从该代理服务器下载，并存取到该云端服务器上，或该分析工具在该代理服务器上存取。
  7. 如权利要求1所述的制造最佳化的平台，其中该接线盒为向该代理服务器租借，该分析工具向该代理服务器付费使用。
  8. 一种制造最佳化平台的方法，其特征在于，包括下列步骤：
    产生一分析工具；
    将该分析工具储存在一应用服务器上；
    将该分析工具从该应用服务器传送给一代理服务器；
    该代理服务器将该分析工具提供给一云端服务器；
    利用一接线盒接收一机器传感器所输出的传感器数据；
    该接线盒实时将该传感器数据传送给该云端服务器；
    该云端服务器接收该传感器数据；
    利用该分析工具分析该传感器数据；
    该云端服务器将该分析工具的多个分析结果提供给一客户端装置；以及
    将多个分析结果显示在该客户端装置的一服务仪表板上。
  9. 如权利要求8所述的制造最佳化平台的方法，其中该分析工具为从该代理服务器下载，并存取到该云端服务器上，或是该分析工具在该代理服务器上存取。
  10. 如权利要求8所述的制造最佳化平台的方法，其中该云端服务器为一半公开云端服务器，供该代理服务器存取。
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