WO2015027464A1 - 基于云计算的加式制造资源调度系统及相应的方法 - Google Patents
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32243—Rerouting parts
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32258—Resource, machine assignment preferences, actual and anticipated load
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/49—Nc machine tool, till multiple
- G05B2219/49023—3-D printing, layer of powder, add drops of binder in layer, new powder
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- 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]
Definitions
- the present invention relates to the field of automatic control technologies, and in particular, to a cloud computing-based additive manufacturing resource scheduling system and a corresponding method, the system integrating local 3D printing capabilities to form a distributed print service network, conveniently for customers Provide the corresponding services.
- Cloud computing distributes computing across a large number of distributed computers over a network and then obtains the desired patterns in an on-demand, scalable manner. Cloud computing is characterized by resource virtualization and resource dynamization.
- the 3D printing technology is based on the 3D model.
- the 3D model is layered and discretized by software.
- the CNC molding system uses laser beam, ultraviolet light, hot melt, etc. to put special materials such as resin, ceramic powder and plastic on the XY plane.
- a layer-by-layer forming scan is performed and stacked and bonded on the z-axis, and finally stacked into a solid product.
- 3D printing belongs to the category of additive manufacturing, while traditional manufacturing belongs to the category of subtractive manufacturing. Compared with the traditional manufacturing industry, the digital manufacturing mode of 3D printing does not require complicated processes, does not require a huge machine tool, does not require a lot of manpower, does not require lengthy pipeline operations, and can be produced by a printer directly through computer 3D model data. Parts of any shape allow manufacturing to extend to a wider range of production people.
- 3D printing has been widely used in the design field, especially industrial design, digital product opening, etc. 3D printing can complete a mold printing in a few hours, saving A lot of product development time to market.
- the development bottleneck of 3D printing can be classified into the following four factors: limited raw materials, high price of 3D printers, difficulty in pre-printing and post-printing, and lack of industry standards. These factors have led to the problem of limited printing resources and uneven distribution of printing resources in the existing 3D printing services. At present, there is no research work available for reference to solve the above problems. Such as How to integrate existing technologies, realize dynamic configuration of printing resources, and achieve efficient resource scheduling is an urgent problem to be solved.
- the object of the present invention is to provide a cloud computing-based additive manufacturing resource scheduling system and a corresponding method for realizing optimal scheduling of resources.
- a cloud computing-based additive manufacturing resource scheduling system includes: a client 101, a server 102, a cloud operating system 103, and a receiving party 104, wherein:
- the client 101 is configured to request an additive manufacturing task, including a plurality of clients and devices capable of connecting to a network, the client 101 submitting an additive manufacturing service request to the cloud operating system 103, and accepting from the cloud Additive manufacturing service feedback information of the operating system 103;
- the server 102 is configured to perform an additive manufacturing task, which includes a plurality of additive manufacturing devices, and the server 102 associates relevant information of each additive manufacturing device with Sending status information to the cloud operating system 103, receiving an additive manufacturing request from the cloud operating system 103, completing a corresponding additive manufacturing service, and transmitting the obtained product to the receiving party 104;
- the cloud operating system 103 is configured to coordinate processing between the client 101 and the server 102, and perform related data processing;
- the receiving party 104 is configured to receive products obtained by the additive manufacturing service.
- an additive manufacturing resource scheduling method comprising the following steps:
- Step Sl the client 101 contacts the cloud operating system 103;
- Step S2 the client 101 submits the additive manufacturing service related requirement information to the cloud operating system 103;
- Step S3 the cloud operating system 103 receives related demand information submitted by the client 101, and processes the demand information; Step S4, the cloud operating system 103 selects an appropriate additive manufacturing device according to the demand information, and initiates a connection request to the server 102;
- Step S5 after the cloud operating system 103 establishes a connection with the server 102, the server 102 feeds back real-time dynamic information of all optional additive manufacturing devices to the cloud operating system 103;
- Step S6 the cloud operating system 103 selects an appropriate additive manufacturing service plan according to the requirement information of the client 101 and the state information of the additive manufacturing device of the server 102, and feeds back some feasible solutions.
- the client 101 determines, by the client 101, a final additive manufacturing service plan;
- Step S7 the client 101 selects a feasible additive manufacturing service plan, and sends the finally selected solution back to the cloud operating system 103;
- Step S8 the cloud operating system 103 invokes the corresponding additive manufacturing service device according to the finally selected solution of the client 101, and completes the corresponding additive manufacturing service;
- Step S9 the server 102 sends the finally produced product to the pre-designated delivery location of the client 101.
- the present invention provides a cloud computing-based additive manufacturing resource scheduling system and a corresponding method, which realizes scheduling optimization of limited 3D printing resources, and provides better 3D printing services for more people in need;
- a large number of server clusters form a large number of data processing modules based on intelligent algorithms, as well as data storage modules, data mining and analysis of customer information, reasonable management and scheduling of 3D printers, providing customers with faster, better and more comprehensive service.
- the cloud computing server cluster used in the additive manufacturing resource scheduling system provided by the present invention is characterized by ultra-large scale, virtualization, high reliability, versatility, high scalability, on-demand service, and extremely low cost.
- FIG. 1 is a structural diagram of an additive manufacturing resource scheduling system according to an embodiment of the present invention
- FIG. 2 is a flowchart of an additive manufacturing resource scheduling method according to an embodiment of the present invention
- Work flow diagram of the server of the manufacturing resource scheduling system
- 4 is a flow chart showing the operation of an additive manufacturing resource scheduling system in the case where a customer demand is a plurality of different components of the same object, in accordance with another embodiment of the present invention.
- the invention provides a cloud computing-based additive manufacturing resource scheduling system, which widely collects customer's personalized demand information and maximizes the use of limited 3D printing resources to meet the needs of a large customer base; In terms of intelligent management and calling of 3D printing resources, the cloud operating system provides customers with faster and better services.
- FIG. 1 is a structural diagram of an additive manufacturing resource scheduling system according to an embodiment of the present invention. As shown in FIG. 1, the system includes: a client 101, a server 102, a cloud operating system 103, and a receiving party 104, where:
- the client 101 is an additive manufacturing service requesting end, and is also a service object of the additive manufacturing resource scheduling system, and includes a plurality of geographically-added customers with added manufacturing requirements and devices capable of connecting to the network, such as A personal computer, a mobile phone, etc., is used to request an additive manufacturing task, and the customer contacts (for example, registers and logs in) the cloud operating system 103 by using a device that supports a wired network or a wireless network such as 3G, GPRS, WIFI, and the cloud operating system 103
- the operating system 103 submits additive manufacturing service demand information, the client 101 authenticates the logged-in customer and collects relevant customer information; meanwhile, the client 101 can also accept the additive manufacturing from the cloud operating system 103. Service feedback information to achieve good interaction between the customer and the cloud operating system 103;
- the server 102 is a distributed additive manufacturing service providing end and an executing end, and includes a large number of additive manufacturing equipment such as a 3D printer provided by an additive manufacturer and/or an individual for performing an additive manufacturing task.
- the server 102 sends the relevant inherent information and status information of each of the additive manufacturing devices to the cloud operating system 103 for the cloud operating system 103 to perform reasonable scheduling, wherein the inherent information of the additive manufacturing device Including information such as model size, material, speed, etc. that can be manufactured by additive manufacturing equipment; the status information includes additive manufacturing Whether the device currently has information such as manufacturing tasks, manufacturing task queue length, etc.; and receives an additive manufacturing request from the cloud operating system 103 to complete the corresponding additive manufacturing service, and sends the obtained product to the receiving Freighter 104;
- the additive manufacturing device can calculate the materials used in the current manufacturing task, and automatically fill the materials when the materials are insufficient; can automatically perform model removal when the manufacturing task is completed, and prepare for the next manufacturing task;
- the automatic loading material and the automatic removal type of the additive manufacturing device are all completed by the machine, and no manual operation is required;
- the cloud operating system 103 is the core of the additive manufacturing resource scheduling system, and is used for coordinating the work between the client 101 and the server 102 to complete the requirements of the client 101 better and faster. Additive manufacturing work, and can provide more convenient and personalized services for the client 101 through related data processing, including a cloud data processing module and a cloud data storage module, wherein:
- the cloud data processing module is connected to the client 101 and the server 102, and is used for data interaction with the client 101 and the server 102, for example, with the client 101 for demand and/or Or interaction of feedback information, and interaction with the server 102 for resource, scheduling, and/or printing information to coordinate the work of the client 101 with the server 102 to form the most efficient service. And analyzing the service requirements of the client 101, providing a solution and implementing a final solution;
- the cloud data storage module is connected to the cloud data processing module, and is configured to store related information generated by the cloud operating system 103, such as the inherent information and login information of the related client 101, and the requirements of the client 101.
- Information and related information and status information of the additive manufacturing device wherein the inherent information of the client 101 includes related information for customer identification, customer personalized information, and the like; and the login of the client 101 Information includes information such as the time and place of login;
- connection between the client 101, the server 102, the cloud data processing module, and the cloud data storage module may be a wired network or a wireless network.
- the receiving party 104 is an additive manufacturing service receiving end, and is configured to receive a product obtained by the additive manufacturing service, which is a product delivery location required by the client 101, or a location of the client 101 itself; After receiving the goods by the receiving party 104, the cloud operating system 103 reminds the client 101 to perform the receipt confirmation in time and give a corresponding evaluation.
- FIG. 2 is a flowchart of an additive manufacturing resource scheduling method according to an embodiment of the present invention. As shown in FIG. 2, the method includes the following steps:
- Step 201 The client 101 contacts (for example, registers and logs in) the cloud operating system 103 through a wired network or a wireless network such as 3G, GPRS, WIFI, etc., and the cloud data storage module of the cloud operating system 103 stores the relevant client 101 inherently.
- Information and login information where the client 101 inherent information includes related information for customer identification, customer personalized information, and the like; the login information includes information such as time and place of login;
- Step 202 The client 101 submits the additive manufacturing service related requirement information to the cloud operating system 103, and the information includes: a 3D model of the item to be printed, a material, whether color printing is required, each part color, related products Information on the person and location of the delivery, as well as other special requirements;
- Step 203 The cloud operating system 103 receives related demand information submitted by the client 101, and processes the demand information, so as to select an appropriate additive manufacturing device and the like;
- Step 204 The cloud operating system 103 selects an appropriate additive manufacturing device according to the demand information, and initiates a connection request to the server 102.
- Step 205 After the cloud operating system 103 establishes a connection with the server 102, the server 102 feeds back real-time dynamic information of all optional additive manufacturing devices to the cloud operating system 103, so as to The cloud operating system 103 can better select a suitable additive manufacturing device;
- the real-time dynamic information of the additive manufacturing device includes information such as whether the current additive manufacturing device is idle, the print job queue length of the additive manufacturing device, and the like.
- Step 206 The cloud operating system 103 is configured according to the requirement information of the client 101.
- the state information of the additive manufacturing device of the server 102 selects an appropriate additive manufacturing service plan, and feeds back a number of feasible solutions back to the client 101, and the client 101 determines the final additive manufacturing service plan. ;
- Step 207 The client 101 selects a feasible additive manufacturing service plan, and sends the final selection back to the cloud operating system 103;
- Step 208 The cloud operating system 103 invokes a corresponding additive manufacturing service device according to the final selection of the client 101 to complete a corresponding additive manufacturing service;
- the additive manufacturing service device can be remotely controlled by a computer to implement functions such as automatic loading of materials, automatic removal of models, and the like.
- the step 208 further includes the following steps:
- Step 2081 The cloud operating system 103 remotely adds an additive manufacturing task to the selected additive manufacturing service device;
- Step 2082 Calculate related additive manufacturing data such as the amount of printing materials required for the current additive manufacturing service, and the printing time;
- Step 2083 judging whether the material is sufficient according to the amount of the required printing material and the amount of remaining material in the additive manufacturing data, if the material is sufficient, the filling is not required, and the process directly proceeds to step 2085, otherwise the process proceeds to step 2084;
- Step 2084 Automated filling of the additive manufacturing service equipment to ensure sufficient material for the additive manufacturing service
- Step 2085 Perform the added additive manufacturing task
- Step 2086 After the additive manufacturing task is completed, the printed product is automatically removed to prepare for the smoothing of the next additive manufacturing task.
- the worker Since the above-mentioned computer remote control is adopted at the server 102, the worker does not need to directly contact the additive manufacturing service device, thereby effectively avoiding the occurrence of an accident; in addition, since the present invention adopts an automatic filler and an automatic removal product, It saves labor and greatly improves work efficiency.
- Step 209 The server 102 sends the finally produced product to a pre-designated delivery location of the client 101;
- the delivery location may be the location of the client 101 itself, or may be far away The location of the other person on the other side of the globe.
- Step 210 The client 101 reconnects to the cloud operating system 103 after receiving the product, completes the corresponding receipt confirmation work, and gives an evaluation to the service;
- the cloud operating system 103 processes and stores related data generated during the additive manufacturing service process to provide customers with more and better services. For example, the cloud operating system 103 may recommend related products that may be of interest to the customer according to the stored consumption conditions and personal information of the customer.
- the use of 3D printing technology to separate manufacturing from large, complex, expensive traditional industrial processes does not require complicated processes and huge Machine tools and a large number of manpower can produce parts of any shape from printers, enabling manufacturing to extend to a wider range of production people.
- cloud computing it avoids many bottlenecks such as limited 3D printing raw materials, high printer prices, complicated post-printing post-processing, and lack of industry standards, maximizing the use of current limited printing resources. People can easily get 3D printing services by connecting to the Internet to meet a wide range of individual needs.
- the cloud operating system 103 may select a reasonable additive manufacturing method according to different additive manufacturing requirements of different components.
- the additive manufacturing equipment of different locations is used to separately perform different manufacturing operations, and then the goods are separately sent to the location specified by the client 101; the additive manufacturing equipment can also meet the additive manufacturing in one location.
- the additive manufacturing work of each component is selected at the same place, and then the different components are assembled by the robot, and then the goods are sent to the location designated by the client 101.
- the additive manufacturing service process includes: Step 301: The client 101 submits an additive manufacturing service requirement, where the demand is two different components of the same object, one is a plastic part, and one is For steel parts;
- Step 302 The cloud operating system 103 performs information feedback and confirmation with the client 101 according to the additive manufacturing service request submitted by the client 101, so as to select an appropriate Service method to carry out this task;
- Step 303 According to the additive manufacturing service requirement of the client 101, that is, a plastic piece and a steel piece, determine whether the additive manufacturing equipment in the same place can complete the service work of the two different material parts;
- Step 304 When the additive manufacturing equipment of the same place cannot complete the service work of the two different material parts, the cloud operating system 103 simultaneously calls the additive manufacturing equipment of two different places to complete the service task. That is, at the same time as the plastic part addition work at the location, the additive manufacturing of the steel parts is carried out at the second place;
- Step 305 When the additive manufacturing equipment of the same place is capable of performing the additive manufacturing work of the two different material parts, the cloud operating system 103 selects the location to perform additive manufacturing work of two different material parts without Addition is made separately in two places. At this time, when two parts of different materials are manufactured, since the two parts are located at the same place, it is convenient to use the robot to properly assemble the two parts;
- Step 306 Send the additive manufactured product to the location specified by the client 101.
- the system of the present invention is used as follows: The Beijing customer connects to the cloud operating system through a wired or wireless network, and transmits the demand data; the cloud operating system receives and analyzes the demand data, and extracts the information data of the Guangdong additive manufacturing service provider.
- the system of the present invention is used as follows:
- the Beijing customer connects to the cloud operating system through a wired or wireless network, and sends demand data;
- the cloud operating system receives and analyzes the demand data, and simultaneously extracts the Guangdong plus Manufacturing service Business information data, further use intelligent optimization algorithm analysis to obtain feasible solutions, feedback to Beijing customers;
- Beijing customers choose the best solution, assuming the choice is to carry out plastic parts manufacturing work in Guangdong, steel parts manufacturing work in Beijing, then cloud
- the operating system dispatches 3D additive manufacturing resources in Guangdong and Beijing respectively.
- the additive manufacturing equipment of both places can realize automatic loading of materials and execute customer-specified product manufacturing tasks; After the manufacturing task, the manufacturing model can be automatically removed and sent to the location of the receiving party requested by the Beijing customer, namely Guangdong.
- the additive manufacturing resource scheduling system proposed by the present invention can meet the needs of different customers, and under certain conditions, assemble different components according to customer service requirements. In order to provide customers with more humane and better services.
- the additive manufacturing resource scheduling system integrates cloud computing and the emerging additive manufacturing industry represented by 3D printing to a certain extent, breaking the limited resources existing in the emerging additive manufacturing industry represented by 3D printing.
- the bottleneck problem has met the personalized and multi-faceted needs of the most customers, and promoted the development of the emerging additive manufacturing industry represented by 3D printing.
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Abstract
本发明公开了一种基于云计算的加式制造资源调度系统及相应的方法，该系统包括：客户端，用于请求加式制造任务，接受来自云操作系统的反馈信息；服务端，用于执行加式制造任务，接收来自云操作系统的加式制造请求，将制得的产品发给收货方；云操作系统，用于协调处理客户端和服务端之间的工作；收货方，用于接收加式制造服务得到的产品。本发明还公开了一种加式制造资源调度方法。本发明基于云计算技术通过计算机远程操控实现对3D打印机的自动装填用料和自动去除模型，根据客户需求对同一地点打印的不同部件进行自动组装，解决了当前以3D打印为代表的加式制造业资源调度优化问题，使3D打印机由单机走向网络化，优化了有限资源利用率。
Description
基于云计算的加式制造资源调度系统及相应的方法
技术领域 本发明属于自动控制技术领域， 尤其涉及一种基于云计算的加式制 造资源调度系统及相应的方法， 该系统整合各地的 3D打印能力， 以形 成分布式打印服务网络， 方便地为客户提供相应的服务。
背景技术 云计算是通过网络使计算分布在大量的分布式计算机上， 然后以按 需、 易扩展的方式获得所需模式。 云计算的特点在于可以实现资源虚拟 化以及资源配置动态化。
3D打印技术是以 3D模型为蓝本， 通过软件将 3D模型进行分层离 散化处理， 由数控成型系统利用激光束、 紫外线、 热熔等方式将树脂、 陶瓷粉末、塑料等特殊材料在 X-Y平面上进行逐层成型扫描， 并在 z轴 进行堆积黏结， 最终叠加成实体产品。 由定义可知， 3D 打印属于加式 制造范畴， 而传统制造业属于减式制造范畴。 与传统制造业相比， 3D 打印这种数字化制造模式不需要复杂的工艺、 不需要庞大的机床、 不需 要众多的人力， 不需要冗长的流水线作业， 直接通过计算机 3D模型数 据， 便可由打印机生产任何形状的零件， 使生产制造得以向更广的生产 人群范围延伸。
在面向个性化和特定性服务制造要求的推动之下， 3D 打印已经开 始广泛应用在设计领域， 尤其是工业设计、 数码产品开模等， 3D 打印 可以在数小时内完成一个模具的打印， 节约了很多产品到市场的开发时 间。
当前， 3D 打印的发展瓶颈可归为如下四个因素： 原材料有限， 3D 打印机价格高昂， 打印前后期处理难度较大， 以及缺乏行业标准。 这些 因素导致了现有的 3D打印服务存在打印资源有限和打印资源分布不均 的问题， 目前， 还没有一个可供参考的研究工作用于解决上述问题。 如
何融合现有技术， 实现打印资源动态配置， 达到资源高效调度， 是一个 亟待解决的问题。
发明内容 针对当前 3D打印服务存在打印资源有限和打印资源分布不均的问 题， 本发明的目的是提供一种基于云计算的加式制造资源调度系统及相 应的方法， 以实现资源的优化调度， 最终有效地解决当前存在的主要问 题， 并在此基础上为客户提供更加优质完善的服务。
为实现上述目的， 根据本发明的一方面， 提出一种基于云计算的加 式制造资源调度系统， 该系统包括： 客户端 101、 服务端 102、 云操作 系统 103、 收货方 104， 其中：
所述客户端 101用于请求加式制造任务， 其包括数个客户和能够连 接网络的设备， 所述客户端 101向所述云操作系统 103提交加式制造服 务需求， 并接受来自所述云操作系统 103的加式制造服务反馈信息； 所述服务端 102用于执行加式制造任务， 其包括大量的加式制造设 备， 所述服务端 102将每台加式制造设备的相关固有信息和状态信息发 送给所述云操作系统 103， 接收来自所述云操作系统 103的加式制造请 求， 完成相应的加式制造服务， 并将制得的产品发给所述收货方 104; 所述云操作系统 103用于协调处理所述客户端 101和服务端 102之 间的工作， 并进行相关数据处理；
所述收货方 104用于接收加式制造服务得到的产品。
根据本发明的另一方面， 还提出一种加式制造资源调度方法， 该方 法包括以下歩骤：
歩骤 Sl， 客户端 101联系云操作系统 103 ;
歩骤 S2,所述客户端 101向所述云操作系统 103提交加式制造服务 相关需求信息；
歩骤 S3 ,所述云操作系统 103接收来自所述客户端 101所提交的相 关需求信息， 并对所述需求信息进行处理；
歩骤 S4，所述云操作系统 103根据所述需求信息选择合适的加式制 造设备， 并向服务端 102发起连接请求；
歩骤 S5 , 在所述云操作系统 103与所述服务端 102建立连接后， 所 述服务端 102将可选的所有加式制造设备的实时动态信息反馈给所述云 操作系统 103 ;
歩骤 S6,所述云操作系统 103根据所述客户端 101的需求信息和所 述服务端 102的加式制造设备的状态信息， 选择合适的加式制造服务方 案， 并将若干可行方案反馈回所述客户端 101， 由所述客户端 101决定 最终的加式制造服务方案；
歩骤 S7， 所述客户端 101对可行加式制造服务方案进行选择， 并将 最终选择的方案发回给所述云操作系统 103 ;
歩骤 S8,所述云操作系统 103根据所述客户端 101的最终选择的方 案， 调用相应的加式制造服务设备， 完成相应的加式制造服务；
歩骤 S9， 所述服务端 102将最终制得的产品发送至所述客户端 101 预先指定的交付地点。
综上， 本发明提供了一种基于云计算的加式制造资源调度系统及相 应的方法， 实现了对有限 3D打印资源的调度优化， 为更多有需要的人 提供更好的 3D打印服务； 以大量的服务器集群组成基于智能算法的大 量数据处理模块， 以及数据存储模块， 对客户的信息进行数据挖掘和分 析， 对 3D打印机进行合理的管理和调度， 为客户提供更快更好更全面 的服务。 本发明提供的加式制造资源调度系统所使用的云计算服务器集 群具有超大规模、 虚拟化、 高可靠性、 通用性、 高可扩展性、 按需服务 以及极其廉价等特点。
附图说明 图 1为根据本发明一实施例的加式制造资源调度系统结构图； 图 2为根据本发明一实施例的加式制造资源调度方法流程图； 图 3为图 1所示的加式制造资源调度系统的服务端的工作流程图；
图 4为根据本发明另一实施例的在客户需求为同一物体多个不同部 件情况下的加式制造资源调度系统的工作流程图。
具体实施方式 为使本发明的目的、 技术方案和优点更加清楚明白， 以下结合具体 实施例， 并参照附图， 对本发明进一歩详细说明。
本发明提出了一种基于云计算的加式制造资源调度系统， 该系统一 方面广泛收集客户的个性化需求信息， 并最大化利用有限的 3D打印资 源来满足广大的客户群体的需求； 另一方面通过云操作系统智能化管理 和调用 3D打印资源， 为客户提供了更快更好的服务。
图 1为根据本发明一实施例的加式制造资源调度系统结构图， 如图 1所示， 所述系统包括： 客户端 101、 服务端 102、 云操作系统 103、 收 货方 104， 其中：
所述客户端 101 为加式制造服务请求端， 也是所述加式制造资源 调度系统的服务对象， 其包括数个以地域为单位的有加式制造需求的客 户和能够连接网络的设备， 如个人电脑、 手机等， 用于请求加式制造任 务， 客户通过使用支持有线网络或 3G、 GPRS, WIFI等无线网络的设备 来联系（比如注册登录）所述云操作系统 103， 并向所述云操作系统 103 提交加式制造服务需求信息， 所述客户端 101对于登录的客户进行身份 验证和采集相关客户信息； 同时， 所述客户端 101也可以接受来自所述 云操作系统 103的加式制造服务反馈信息，以实现客户与云操作系统 103 的良好交互；
所述服务端 102为分布式加式制造服务提供端和执行端， 其包括各 地加式制造厂商和 /或个人提供的 3D打印机等大量的加式制造设备， 用 于执行加式制造任务， 所述服务端 102将每台加式制造设备的相关固有 信息和状态信息发送给所述云操作系统 103， 以供所述云操作系统 103 进行合理调度， 其中， 所述加式制造设备的固有信息包括加式制造设备 所能制造的模型大小、 材质、 速度等信息； 所述状态信息包括加式制造
设备当前是否已有制造任务、 制造任务排队长度等信息； 并接收来自所 述云操作系统 103的加式制造请求， 以完成相应的加式制造服务， 并将 制得的产品发给所述收货方 104;
所述加式制造设备可对当前制造任务的用料进行计算， 并在用料不 足时自动装填用料； 可在完成制造任务时， 自动进行模型去除， 为接下 来的制造任务做准备； 在本发明一实施例中， 所述加式制造设备的自动 装填用料和自动去除摸型均由机器完成， 无需人为操作；
所述云操作系统 103是所述加式制造资源调度系统的核心， 用于协 调处理所述客户端 101和服务端 102之间的工作， 以更好更快的完成所 述客户端 101所要求的加式制造工作， 并能通过相关数据处理为所述客 户端 101提供更多更方便的个性化服务， 其包括云数据处理模块和云数 据存储模块， 其中：
所述云数据处理模块与所述客户端 101和所述服务端 102相连， 其 用于与所述客户端 101和所述服务端 102进行数据交互， 比如与所述客 户端 101进行需求和 /或反馈信息的交互，以及与所述服务端 102进行资 源、 调度和 /或打印信息的交互， 以对所述客户端 101与所述服务端 102 的工作进行协调，使之组成最高效的服务体系；以及分析所述客户端 101 的服务需求、 提供可解决方案并执行最终方案；
所述云数据存储模块与所述云数据处理模块相连， 用于对所述云操 作系统 103产生的相关信息进行存储， 比如相关客户端 101的固有信息 和登录信息、 所述客户端 101的需求信息以及所述加式制造设备的相关 固有信息和状态信息， 其中， 所述客户端 101的固有信息包括用于客户 身份识别的相关信息、 客户个性化信息等信息； 所述客户端 101的登录 信息包括登录的时间、 地点等信息；
所述客户端 101、 服务端 102、 云数据处理模块和云数据存储模块 之间的连接均可为有线网络或者无线网络。
所述收货方 104为加式制造服务接收端， 用于接收加式制造服务得 到的产品， 其为所述客户端 101所要求的产品交付地点， 或客户端 101 本身的所在地；
所述云操作系统 103在所述收货方 104收到货物之后， 提醒所述客 户端 101及时进行收货确认以及给出相应的评价。
图 2为根据本发明一实施例的加式制造资源调度方法流程图， 如图 2所述， 该方法包括以下歩骤：
歩骤 201 : 客户端 101通过有线网络或 3G、 GPRS、 WIFI等无线网 络， 联系 （比如注册登录） 云操作系统 103， 所述云操作系统 103的云 数据存储模块存储有相关的客户端 101固有信息和登录信息， 其中， 所 述客户端 101固有信息包括用于客户身份识别的相关信息、 客户个性化 信息等信息； 所述登录信息包括登录的时间、 地点等信息；
歩骤 202: 所述客户端 101向所述云操作系统 103提交加式制造服 务相关需求信息， 这些信息包括： 将要打印的物品的 3D模型、 材质、 是否需要彩色打印、 各部分颜色， 有关产品交付的人和地点， 以及其他 特殊要求等信息；
歩骤 203: 所述云操作系统 103接收来自所述客户端 101所提交的 相关需求信息， 并对所述需求信息进行处理， 以备选择合适的加式制造 设备等；
歩骤 204: 所述云操作系统 103根据所述需求信息选择合适的加式 制造设备， 并向服务端 102发起连接请求；
在选择合适的加式制造设备的过程中， 首先必须根据所述客户端 101提交的 3D模型大小、 材质、 是否需要彩色打印等信息， 来挑选合 适的加式制造设备； 其次， 要根据所述客户端 101提交的收货信息， 就 近选择加式制造设备。
歩骤 205: 在所述云操作系统 103与所述服务端 102建立连接后， 所述服务端 102将可选的所有加式制造设备的实时动态信息反馈给所述 云操作系统 103， 以便所述云操作系统 103能够更好的选择合适的加式 制造设备；
其中， 所述加式制造设备的实时动态信息包括当前加式制造设备是 否空闲， 该加式制造设备的打印任务排队长度等信息。
歩骤 206: 所述云操作系统 103根据所述客户端 101的需求信息和
所述服务端 102的加式制造设备的状态信息， 选择合适的加式制造服务 方案， 并将若干可行方案反馈回所述客户端 101， 由所述客户端 101决 定最终的加式制造服务方案；
歩骤 207: 所述客户端 101对可行加式制造服务方案进行选择， 并 将最终的选择发回给所述云操作系统 103 ;
歩骤 208: 所述云操作系统 103根据所述客户端 101的最终选择， 调用相应的加式制造服务设备， 完成相应的加式制造服务；
其中， 加式制造服务设备可由计算机远程操控， 以实现自动装填用 料、 自动去除模型等功能， 如图 3所示， 所述歩骤 208进一歩包括以下 歩骤：
歩骤 2081 :所述云操作系统 103对所选择的加式制造服务设备远程 添加加式制造任务；
歩骤 2082: 计算得到当前加式制造服务所需打印材料量、打印时间 等相关加式制造数据；
歩骤 2083 :根据所述加式制造数据中的所需打印材料量和剩余材料 量， 判断材料是否充足， 如材料充足则无需填充， 直接进入歩骤 2085， 否则进入歩骤 2084;
歩骤 2084: 对加式制造服务设备进行自动装填材料， 以保证加式制 造服务所需的材料充足；
歩骤 2085: 执行所添加的加式制造任务；
歩骤 2086: 在所述加式制造任务完成以后， 自动去除打印出来的产 品， 为下一个加式制造任务的顺利进行做准备。
由于在所述服务端 102采用了上述计算机远程控制， 因此工作人员 无需直接接触加式制造服务设备， 从而有效避免了意外事故的发生； 另 外， 由于本发明采用了自动填料和自动去除产品， 从而节约了劳动力， 同时也大大提高了工作效率。
歩骤 209:所述服务端 102将最终制得的产品发送至所述客户端 101 预先指定的交付地点；
所述交付地点可以是所述客户端 101本身的所在地， 也可以是远在
地球另一端的其他人的所在地。
歩骤 210: 所述客户端 101在收到产品后重新连接所述云操作系统 103， 完成相应的收货确认工作， 并对本次服务给出评价；
其中， 所述云操作系统 103对加式制造服务过程中产生的相关数据 进行处理和存储， 以为客户提供更多更优质的服务。 比如所述云操作系 统 103可根据其存储的客户以前的消费情况和个人信息等， 向该客户推 荐其可能感兴趣的相关产品。
通过本发明的上述方法， 在面对日益丰富的个性化需求时， 由于采 用了 3D打印技术， 将生产制造从大型、 复杂、 昂贵的传统工业过程中 分离出来， 不需要复杂的工艺、 庞大的机床、 众多的人力， 便可由打印 机生产任何形状的零件， 使生产制造得以向更广的生产人群范围延伸。 由于采用了云计算手段， 避开了 3D打印原材料非常有限、 打印机价格 较高、 打印前后期处理较复杂、 缺乏行业标准等诸多瓶颈因素， 最大化 的利用了当前有限的打印资源， 使每一个人都可以简单的通过连接互联 网来得到 3D打印服务， 从而满足广泛的个性化需求。
当所述客户端 101所提交的加式制造服务需求为同一物件的多个不 同部件时， 所述云操作系统 103会根据不同部件的不同加式制造要求选 择合理的加式制造方式， 既可以使用不同地点的加式制造设备对不同的 部件分别进行加式制造工作， 然后再分别发送货物至所述客户端 101指 定的地点； 也可以在一个地点的加式制造设备就能满足加式制造需求时 选择在同一地点进行各部件的加式制造工作， 然后再利用机器人对不同 的部件进行组装， 继而发送货物至所述客户端 101指定的地点。
这里， 以所述客户端 101的加式制造服务需求为同一物体的两个部 件为例来对上述服务的提供进行说明， 两个部件中， 其中一个部件为塑 料件，另一个部件为钢铁件，如图 4所示，所述加式制造服务流程包括： 歩骤 301 : 所述客户端 101提交加式制造服务需求， 所述需求为同 一物体的两个不同部件， 一个为塑料件， 一个为钢铁件；
歩骤 302: 所述云操作系统 103根据所述客户端 101所提交的加式 制造服务需求， 与所述客户端 101进行信息反馈和确认， 以便选择合适
的服务方式来进行此次任务；
歩骤 303 : 根据所述客户端 101 的加式制造服务需求， 即一个塑料 件和一个钢铁件， 判断同一个地方的加式制造设备是否能够完成这两种 不同材质部件的服务工作；
歩骤 304: 当同一地点的加式制造设备无法完成这两种不同材质部 件的服务工作时， 所述云操作系统 103同时调用两个不同地方的加式制 造设备来配合完成此次服务任务， 即在地点一进行塑料件加式制造工作 的同时， 在地点二进行钢铁件的加式制造工作；
歩骤 305: 当同一地点的加式制造设备能够完成这两种不同材质部 件的加式制造工作时， 所述云操作系统 103选择该地点进行两种不同材 质部件的加式制造工作， 而无需分两地分别进行加式制造， 此时， 当两 个不同材质的部件加式制造完成时， 由于两个部件位于同一地点， 因此 可以方便的利用机器人对两个部件进行恰当的组装；
歩骤 306: 将加式制造得到的产品发送至所述客户端 101指定的地 点。
比如， 假设北京客户指定此次加式制造服务的收货方位于广东， 且 其所提交的服务需求为同一物件的不同部件： 一个塑料件和一个钢铁件， 当该服务需求可在同一地点得到满足时， 本发明系统的使用过程如下： 北京客户通过有线或者无线网络连接云操作系统， 并发送需求数据； 云 操作系统接收并分析需求数据， 同时提取广东加式制造服务提供商的信 息数据，进一歩利用智能优化算法分析得出可行方案，反馈至北京客户； 北京客户选择最佳方案， 假设选择方案为在广东完成两个不同部件的打 印工作， 则云操作系统根据客户选择， 调度广东 3D打印资源， 在用料 不足的情况下实现自动装填用料， 并执行客户指定的产品制造任务； 完 成制造任务后， 可自动去除制造模型， 然后通过机器人实现对不同部件 的组装， 最后送至北京客户要求的收货方所在地， 即广东。
当该打印需求必须在不同地点进行打印时， 本发明系统的使用过程 如下： 北京客户通过有线或者无线网络连接云操作系统， 并发送需求数 据； 云操作系统接收并分析需求数据， 同时提取广东加式制造服务提供
商信息数据， 进一歩利用智能优化算法分析得出可行方案， 反馈至北京 客户； 北京客户选择最佳方案， 假设选择方案为在广东执行塑料件制造 工作， 在北京执行钢铁件制造工作， 则云操作系统根据客户选择， 分别 调度广东和北京 3D加式制造资源， 在用料不足的情况下， 两地的加式 制造设备均可实现自动装填用料， 并执行客户指定的产品制造任务； 完 成制造任务后， 均可自动去除制造模型， 然后分别送至北京客户要求的 收货方所在地， 即广东。
综上， 由于采用了以上技术方案， 针对不同客户的不同需求， 本发 明所提出的加式制造资源调度系统均可满足需求， 并在一定条件下， 根 据客户的服务需求对不同零部件进行组装， 从而为客户提供了更人性化 更完善的服务。
所述加式制造资源调度系统对云计算和以 3D打印为代表的新兴加 式制造业进行了一定程度的整合， 打破了当前以 3D打印为代表的新兴 加式制造业所存在的资源有限等瓶颈问题， 满足了最广大客户的个性化 多方面需求， 并推进了以 3D打印为代表的新兴加式制造业的发展。
以上所述的具体实施例， 对本发明的目的、 技术方案和有益效果进 行了进一歩详细说明， 所应理解的是， 以上所述仅为本发明的具体实施 例而已， 并不用于限制本发明， 凡在本发明的精神和原则之内， 所做的 任何修改、 等同替换、 改进等， 均应包含在本发明的保护范围之内。
Claims
1、 一种基于云计算的加式制造资源调度系统， 其特征在于， 该系 统包括：客户端（101 )、服务端（102)、云操作系统（103 )、收货方（104)， 其中：
所述客户端 （101 ) 用于请求加式制造任务， 其包括数个客户和能 够连接网络的设备， 所述客户端 （101 ) 向所述云操作系统 （103 ) 提交 加式制造服务需求， 并接受来自所述云操作系统 （103 ) 的加式制造服 务反馈信息；
所述服务端 （102 ) 用于执行加式制造任务， 其包括大量的加式制 造设备， 所述服务端 （102) 将每台加式制造设备的相关固有信息和状 态信息发送给所述云操作系统（103 )， 接收来自所述云操作系统（103 ) 的加式制造请求， 完成相应的加式制造服务， 并将制得的产品发给所述 收货方 ( 104)；
所述云操作系统 （103 ) 用于协调处理所述客户端 （101 ) 和服务端 ( 102) 之间的工作， 并进行相关数据处理；
所述收货方 （104) 用于接收加式制造服务得到的产品。
2、 根据权利要求 1 所述的系统， 其特征在于， 所述客户端 （101 ) 对于登录的客户进行身份验证和采集相关客户信息。
3、 根据权利要求 1 所述的系统， 其特征在于， 所述加式制造设备 的固有信息包括加式制造设备所能制造的模型大小、材质和 /或速度； 所 述状态信息包括加式制造设备当前是否已有制造任务和 /或制造任务排 队长度。
4、 根据权利要求 1 所述的系统， 其特征在于， 所述加式制造设备 对当前制造任务的用料进行计算， 并在用料不足时自动装填用料； 在完 成制造任务时， 自动进行模型去除。
5、根据权利要求 1所述的系统，其特征在于，所述云操作系统（103 ) 包括云数据处理模块和云数据存储模块， 其中：
所述云数据处理模块与所述客户端 （101 ) 和所述服务端 （102) 相
连， 用于与所述客户端 （101 ) 和所述服务端 （102) 进行数据交互、 分 析所述客户端 （101 ) 的服务需求、 提供可解决方案并执行最终方案； 所述云数据存储模块与所述云数据处理模块相连， 用于对所述云操 作系统 （103 ) 产生的相关信息进行存储。
6、 一种加式制造资源调度方法， 其特征在于， 该方法包括以下歩 骤：
歩骤 S2,所述客户端向所述云操作系统提交加式制造服务相关需求 歩骤 S3 ,所述云操作系统接收来自所述客户端所提交的相关需求信 息， 并对所述需求信息进行处理；
歩骤 S4,所述云操作系统根据所述需求信息选择合适的加式制造设 备， 并向服务端发起连接请求；
歩骤 S5， 在所述云操作系统与所述服务端建立连接后， 所述服务端 将可选的所有加式制造设备的实时动态信息反馈给所述云操作系统； 歩骤 S6,所述云操作系统根据所述客户端的需求信息和所述服务端 的加式制造设备的状态信息， 选择合适的加式制造服务方案， 并将若干 可行方案反馈回所述客户端， 由所述客户端决定最终的加式制造服务方 案；
歩骤 S7， 所述客户端对可行加式制造服务方案进行选择， 并将最终 选择的方案发回给所述云操作系统；
歩骤 S8, 所述云操作系统根据所述客户端的最终选择的方案， 调用 相应的加式制造服务设备， 完成相应的加式制造服务；
歩骤 S9,所述服务端将最终制得的产品发送至所述客户端预先指定 的交付地点。
7、 根据权利要求 6所述的方法， 其特征在于， 所述云操作系统的 云数据存储模块存储有相关的客户端固有信息和登录信息， 其中， 所述 客户端固有信息包括用于客户身份识别的相关信息和 /或客户个性化信 息； 所述登录信息包括登录的时间和 /或地点。
8、 根据权利要求 6所述的方法， 其特征在于， 所述歩骤 S4中， 首 先根据所述客户端提交的需求信息来挑选合适的加式制造设备； 其次， 根据所述客户端提交的收货信息， 就近选择加式制造设备。
9、 根据权利要求 6所述的方法， 其特征在于， 所述歩骤 S8进一歩 包括以下歩骤：
歩骤 S81 : 所述云操作系统对所选择的加式制造服务设备远程添加 加式制造任务；
歩骤 S82: 计算得到当前加式制造服务相关的加式制造数据； 歩骤 S83 : 根据所述加式制造数据中的所需打印材料量和剩余材料 量， 判断材料是否充足， 如材料充足则无需填充， 直接进入歩骤 S85 , 否则进入歩骤 S84 ;
歩骤 S84: 对加式制造服务设备进行自动装填材料；
歩骤 S85 : 执行所添加的加式制造任务；
歩骤 S86: 在所述加式制造任务完成以后， 自动去除打印出来的产
P
10、 根据权利要求 6所述的方法， 其特征在于， 还包括歩骤 S10 , 所述客户端在收到产品后重新连接所述云操作系统， 进行收货确认和服 务评价。
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