CN111917831A - An intelligent IoT management system for highly dynamic production logistics environment - Google Patents
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Abstract
Translated fromChineseDescription
Translated fromChinese技术领域technical field
本发明涉及智能物流技术领域，具体为一种面向高动态生产物流环境的智能物联管理系统及管控系统。The invention relates to the technical field of intelligent logistics, in particular to an intelligent IoT management system and a management and control system oriented to a highly dynamic production logistics environment.
背景技术Background technique
智能设备发展速度日新月异，当智能手机已经基本普及之后，而智能便携式物联设备则成为了厂商们的宠儿，成为电子产品消费中的一个新热点。从苹果手表到小米手环，智能便携式物联设备开始逐渐被大众开始接受，然而智能便携式物联设备的发展在全球范围内仍处于初级阶段，产品的研发和技术上尚未成熟，预计未来两年将进入快速增长期，目前市场或将开始成熟。The development speed of smart devices is changing with each passing day. When smart phones have basically become popular, smart portable IoT devices have become the darling of manufacturers and a new hot spot in the consumption of electronic products. From Apple Watch to Xiaomi bracelet, smart portable IoT devices are gradually accepted by the public. However, the development of smart portable IoT devices is still in its infancy globally, and product development and technology are not yet mature. It is expected that in the next two years It will enter a period of rapid growth, and the current market may begin to mature.
智能便携式物联设备是将人“物联网化”的重要一环，也是大数据时代，除了手机外收集用户各项数据的重要终端。手腕部位穿戴智能设备手表逐渐取代手环正是智能便携式物联设备功能逐渐丰富的表现，随着智能家居等一系列借助网络连接的智能生态系统逐渐成型，智能便携式物联设备作为离人最近的智能设备，在担负起用户数据收集的任务同时，更多的将会扮演一个控制终端的角色。尽管如此，就目前来看智能便携式物联设备无论是功能技术层面，还是用户覆盖都处于较初级的阶段，未来智能生态系统的搭建还有很长的路要走。纵观国内外发展趋势，就应用领域看，目前在医疗与保健、健身与健康、信息娱乐等领域对智能便携式物联设备存在日益成长的需求。相比之下，智能穿戴设备应用于工业领域的市场规模要小些，但前景较为广阔。Smart portable IoT devices are an important part of "Internet of Things" for people, and in the era of big data, they are important terminals for collecting user data in addition to mobile phones. Wearing smart devices on the wrist gradually replacing the bracelet is a manifestation of the gradual enrichment of the functions of smart portable IoT devices. Smart devices, while taking on the task of user data collection, will play more of a role as a control terminal. Nonetheless, at present, smart portable IoT devices are still at a relatively early stage in terms of functional technology and user coverage, and there is still a long way to go to build a smart ecosystem in the future. Looking at the development trends at home and abroad, in terms of application fields, there is a growing demand for smart portable IoT devices in the fields of medical and health care, fitness and health, and infotainment. In contrast, the market size of smart wearable devices used in the industrial field is smaller, but the prospects are relatively broad.
随着智能制造的广泛应用，迫切需要建立一种针对小批量/个性化、周期短、消耗少，同时配合网络技术等信息化技术的生产物流高动态的组织模式。而国内大部分传统制造企业因产品特点、加工工艺、生产管理方式等原因，生产物流方式仍是基于传统纸质任务单来安排操作任务，任务响应速度慢、处理过程耗时，且与设备操作串行发生而增加生产时间；即使目前市场上研发出一些大型物联设备解决了任务动态投放和处理的问题，但昂贵的成本也成为大规模应用的瓶颈。With the wide application of intelligent manufacturing, there is an urgent need to establish a highly dynamic organizational model for production logistics that is aimed at small batches/individualization, short cycle, low consumption, and at the same time cooperates with information technology such as network technology. However, due to product characteristics, processing technology, production management methods and other reasons, most traditional manufacturing enterprises in China still arrange operation tasks based on traditional paper task orders. The task response speed is slow, the processing process is time-consuming, and it is not related to equipment operation. Serial occurrence increases production time; even if some large-scale IoT devices have been developed on the market to solve the problem of dynamic task delivery and processing, the expensive cost has also become a bottleneck for large-scale applications.
发明内容SUMMARY OF THE INVENTION
本发明的目的在于提供一种面向高动态生产物流环境的智能物联管理系统及管控系统，具备实现“管理手段-信息交互-物理操作”有机融合，操作过程与任务接收/反馈并行发生，并保证其携带的便利和成本的低廉的优点，解决了传统的操作方式是基于纸质任务单来安排操作任务，任务响应速度慢、处理过程耗时长、与设备操作串行发生而增加了生产时间，且昂贵的成本也成为大规模应用的瓶颈的问题。The purpose of the present invention is to provide an intelligent IoT management system and management and control system oriented to a highly dynamic production and logistics environment, which is capable of realizing the organic integration of "management means-information interaction-physical operation", the operation process and task reception/feedback occur in parallel, and To ensure the convenience of carrying and the advantages of low cost, it solves the problem that the traditional operation method is based on paper task orders to arrange operation tasks, the task response speed is slow, the processing process takes a long time, and the production time occurs in series with the equipment operation. , and the expensive cost has also become a bottleneck for large-scale applications.
为实现上述目的，本发明提供如下技术方案：一种面向高动态生产物流环境的智能物联管理系统，第一层为智能对象层，旨在于使用工业可穿戴和物联网设备将“生产-物流”过程中的“人”和“物”进行智能封装，下达工作任务并反馈任务状态；第二层为资源管理层，支持智能对象以工作流方式自主接入、动态管理；第三层为服务层，支持管理者和操作者基于特定业务流程进行双向信息交互，任务下达与执行反馈；上三层为面向智能对象的生产物流管理平台；第四层为应用层，是执行特定生产物流管理的用户接口层；In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent IoT management system oriented to a highly dynamic production and logistics environment, the first layer is an intelligent object layer, and is intended to use industrial wearable and IoT devices to convert "production-logistics". The "people" and "things" in the process are intelligently encapsulated, assigning work tasks and feeding back the task status; the second layer is the resource management layer, which supports intelligent objects to be accessed and dynamically managed in the way of workflow; the third layer is the service Layer, which supports managers and operators to conduct two-way information exchange based on specific business processes, task assignment and execution feedback; the upper three layers are the intelligent object-oriented production logistics management platform; the fourth layer is the application layer, which implements specific production logistics management. user interface layer;
面向简单数据获取的工业智能便携式物联设备，工业环境下很多规律性的操作行为，例如收货确认、货品清点需要工人执行简单的批量数据读取操作；集成与简单操作相对应的独立传感模块的智能便携式物联设备，可避免引入价格昂贵、功能冗余的传统物联网设备；工人可在执行操作行为的同时利用智能便携式物联设备进行便捷的数据获取，避免消耗额外的设备操作时间，使生产物流执行过程高效执行；Industrial intelligent portable IoT devices for simple data acquisition, many regular operation behaviors in industrial environments, such as receipt confirmation, goods inventory, require workers to perform simple batch data reading operations; integrate independent sensors corresponding to simple operations. The modular smart portable IoT device can avoid the introduction of expensive and redundant traditional IoT devices; workers can use the smart portable IoT devices for convenient data acquisition while performing operational actions, avoiding consuming additional equipment operation time , so that the production logistics execution process is efficiently executed;
面向行为逻辑处理的工业智能便携式物联设备，工业环境中的部分操作行为，会因为数据的易错性和管理安全性需求，需要工人在执行数据读取操作后再额外进行“逻辑处理”来实现数据的确认/取消、累计、对比等管理功能；除简单的传感模块外，将在智能便携式物联设备中集成行为识别模块将人类简单行为转换为对读取数据进行附加处理的逻辑操作符；与操作过程并行完成的数据采集和处理将避免消耗额外的设备操作时间，使生产物流执行过程高效执行；Industrial intelligent portable IoT devices oriented to behavioral logic processing, some operational behaviors in the industrial environment will require workers to perform additional "logic processing" after performing data reading operations due to the error-proneness of data and management security requirements. Realize management functions such as data confirmation/cancellation, accumulation, and comparison; in addition to the simple sensing module, the behavior recognition module will be integrated into the smart portable IoT device to convert simple human behavior into logical operations for additional processing of read data The data collection and processing completed in parallel with the operation process will avoid consuming additional equipment operation time and make the production logistics execution process efficient;
面向复杂数据获取的工业智能便携式物联设备，高动态性工业环境中存在需要进行复杂数据输入的操作行为；体现于需要在不同时间获取不同维度的数据，也可能体现在获取数据后需进行比逻辑处理更加复杂的数学处理；因此，工业智能便携式物联设备将提供即插即用Plug-in型传感模块接口，使操作者可面向动态需求进行传感、行为模块的随时更换；在保证穿戴人体工学的前提下以可插拔模式保证操作灵活性，而多模块可在操作组内共享保证成本经济性。For industrial intelligent portable IoT devices for complex data acquisition, there are operational behaviors that require complex data input in a highly dynamic industrial environment; it is reflected in the need to acquire data of different dimensions at different times, and it may also be reflected in the need to compare data after acquiring the data. Logic processing is more complex mathematical processing; therefore, industrial intelligent portable IoT devices will provide plug-and-play Plug-in sensor module interfaces, so that operators can replace sensing and behavior modules at any time for dynamic needs; The pluggable mode ensures operational flexibility under the premise of wearable ergonomics, while multiple modules can be shared within the operating group to ensure cost economy.
一种面向高动态生产物流环境的智能物联管理系统，基于智能便携式物联设备的“人-机融合”工业智能体建模与管理，将工业智能便携式物联设备的信息处理能力以及制造资源的任务执行能力集成后，进行工业智能体的建模与封装，实现二者的信息与物理融合，使之成为同时具备智能信息管理与任务实时执行能力的工业智能体；该类工业智能体具备资源注册、资源发现、资源能力管理、资源任务管理、资源监控的功能，支持可按需配置的工作流程，可通过多类网络协议接入云制造管理中心，受云资源管理中心的统一管理；An intelligent IoT management system for a highly dynamic production and logistics environment, based on the "human-machine fusion" industrial agent modeling and management of intelligent portable IoT devices, integrates the information processing capabilities and manufacturing resources of industrial intelligent portable IoT devices After the integration of the task execution capabilities, the modeling and encapsulation of the industrial agent is carried out to realize the information and physical integration of the two, making it an industrial agent with both intelligent information management and real-time task execution capabilities; this type of industrial agent has The functions of resource registration, resource discovery, resource capability management, resource task management, and resource monitoring support the workflow that can be configured on demand, and can be connected to the cloud manufacturing management center through multiple types of network protocols, under the unified management of the cloud resource management center;
基于工业智能体的动态生产物流两阶段云服务调度管理，生产物流过程中发生的随机性事件，导致既有生产-物流计划产生不同程度的扰动，严重者甚至计划失衡，难以继续执行；需研究基于工业智能便携式物联设备实时信息驱动的动态生产物流云服务决策机制及决策的方法，进行生产物流服务的分解、重组等业务过程的变更，以及基于智能便携式物联设备实时信息驱动的考虑资源动态定位的生产物流服务-资源匹配优化方法；Two-stage cloud service scheduling management of dynamic production logistics based on industrial agents, random events in the production and logistics process lead to different degrees of disturbance to the existing production-logistics plan, and even the plan is unbalanced in severe cases, and it is difficult to continue to execute; research is needed. Based on the decision-making mechanism and decision-making method of dynamic production logistics cloud service driven by real-time information of industrial intelligent portable IoT devices, it can change business processes such as decomposition and reorganization of production logistics services, and consider resources driven by real-time information driven by intelligent portable IoT devices. Dynamically positioned production logistics service-resource matching optimization method;
基于工业智能体的动态生产物流智能管控系统，基于智能便携式物联设备与制造资源融合后的工业智能体，构建动态生产物流智能管控系统，实现对动态生产物流业务进行计划管控、任务管控、以及任务执行管控和实时决策管理，实现制造资源的智能性、任务执行的实时性，以提升动态生产物流的执行效率。A dynamic production logistics intelligent management and control system based on industrial agents, based on an industrial intelligent body that integrates intelligent portable IoT devices and manufacturing resources, to build a dynamic production logistics intelligent management and control system to realize plan management, task management and control of dynamic production logistics business. Task execution control and real-time decision management realize the intelligence of manufacturing resources and real-time task execution to improve the execution efficiency of dynamic production logistics.
一种面向高动态生产物流环境的智能物联管理系统技术路线，实现智能便携式物联设备的技术路线，面向简单数据获取的工业智能便携式物联设备技术路线，基于君正Nenton2开发平台，在M200芯片上集成单个模块或传感器，来实现简单的数据输入；面向行为逻辑处理的工业智能便携式物联设备技术路线，基于君正Nenton2开发平台，在AndroidFramework上设计“行为-数据”转换算法包，M200芯片内部集成的行为传感器(如九轴传感器等)在该平台上通过调取“行为-数据”转换算法包将员工的行为动作转换为数据；面向复杂数据获取的工业智能便携式物联设备技术路线，基于君正Nenton2开发平台，在M200芯片上开发能够集成不同传感器等模块的通用接口，来实现M200芯片与不同模块的即插即用功能。A technical route for an intelligent IoT management system for a highly dynamic production and logistics environment, a technical route for realizing intelligent portable IoT devices, and a technical route for industrial intelligent portable IoT devices for simple data acquisition, based on the Ingen Nenton2 development platform, in M200 A single module or sensor is integrated on the chip to realize simple data input; the technical route of industrial intelligent portable IoT devices for behavioral logic processing is based on Inzheng Nenton2 development platform, and the "behavior-data" conversion algorithm package is designed on AndroidFramework, M200 The behavior sensor (such as nine-axis sensor, etc.) integrated in the chip converts the behavior and actions of employees into data by calling the "behavior-data" conversion algorithm package on this platform; the technical route of industrial intelligent portable IoT equipment for complex data acquisition , Based on the Ingenious Nenton2 development platform, a general interface that can integrate different sensors and other modules is developed on the M200 chip to realize the plug-and-play function of the M200 chip and different modules.
一种面向高动态生产物流环境的智能物联管理系统，基于智能便携式物联设备的“人-机融合”工业智能体建模与管理，工业智能体的信息管理能力通过对硬件产品的开发，内置在工业可穿戴智能设备中，可在云资源注册中心进行注册登记，具备网络连接、实时信息接收、处理、反馈的能力；工业智能体的实际业务执行能力，通过对生产物流资源的服务能力进行建模，将其存储在云端的资源管理中心，具备依据操作指令执行现场业务的能力；存储在云资源注册中心的工业智能便携式物联设备与人力资源的注册信息进行逻辑配对，实现工业智能体的信息管理能力与业务执行能力的逻辑绑定；人力资源通过佩戴智能便携式物联设备，实现工业智能体的信息管理能力与工业智能体的业务执行能力的物理绑定；实现逻辑绑定和物理绑定后的工业智能体的信息-执行交互工作机制：工业智能便携式物联设备从云端获取的实时生产物流任务信息驱动人力资源进行实际业务的执行，人力资源通过工业智能便携式物联设备将任务执行的实际结果实时反馈到云端任务执行管理中心；生产物流信息服务中心，是生产物流资源及其服务信息的存储中心，通过标准的服务接口对外提供智能资源和生产物流服务的管理功能；元数据是用来支持构建智能资源及其生产物流服务的基础数据；An intelligent IoT management system for a highly dynamic production and logistics environment, based on the "human-machine fusion" industrial agent modeling and management of intelligent portable IoT devices, the information management capabilities of industrial agents are developed through the development of hardware products. Built in industrial wearable smart devices, it can be registered in the cloud resource registration center, and has the ability of network connection, real-time information reception, processing, and feedback; the actual business execution ability of industrial intelligence, through the service ability of production and logistics resources Carry out modeling and store it in the resource management center of the cloud, and have the ability to perform on-site business according to operation instructions; the industrial intelligent portable IoT device stored in the cloud resource registration center is logically paired with the registration information of human resources to realize industrial intelligence The logical binding between the information management ability of the industrial agent and the business execution ability; the human resource realizes the physical binding of the information management ability of the industrial agent and the business execution ability of the industrial agent by wearing intelligent portable IoT devices; realizes the logical binding and The information-execution interaction working mechanism of the physically bound industrial agent: the real-time production and logistics task information obtained by the industrial intelligent portable IoT device from the cloud drives the human resources to carry out the actual business execution, and the human resources use the industrial intelligent portable IoT device to implement the actual business. The actual results of task execution are fed back to the cloud task execution management center in real time; the production logistics information service center is the storage center of production logistics resources and service information, and provides external management functions for intelligent resources and production logistics services through standard service interfaces; Data is the basic data used to support the construction of intelligent resources and their production logistics services;
基于工业智能体的动态生产物流两阶段云服务调度管理，生产物流执行的过程中，由于不确定事件随机发生，导致生产物流计划、任务的实时完工时间、完工状态的不确定性，当服务的实际执行情况超出已有生产物流计划所预先设定的阈值范围时，则触发生产物流业务服务需求的优化调度，通过进行生产物流的服务分解、服务组合、以及优化方法，生成新的服务需求序列；新的服务需求序列产生后，取出需要优先执行的服务需求，触发基于资源实时定位的实时生产物流服务-资源优化匹配，根据服务需求信息、资源所提供的服务能力信息、以及资源的实时位置信息，确定能够提供服务的资源集合，进行优化匹配，择优选取后将任务下达到相应的资源开始执行服务；In the two-stage cloud service scheduling management of dynamic production logistics based on industrial agents, in the process of production logistics execution, due to the random occurrence of uncertain events, the production logistics plan, the real-time completion time of tasks, and the completion status are uncertain. When the actual execution situation exceeds the preset threshold range of the existing production logistics plan, the optimal scheduling of production logistics business service requirements is triggered, and a new service demand sequence is generated through the service decomposition, service combination, and optimization method of production logistics. ; After the new service demand sequence is generated, the service demand that needs to be executed first is taken out, and the real-time production logistics service-resource optimization matching based on real-time resource positioning is triggered. According to the service demand information, the service capability information provided by the resource, and the real-time location of the resource information, determine the set of resources that can provide services, perform optimization and matching, and then assign tasks to the corresponding resources to start the service;
基于工业智能体的动态生产物流智能管控系统，该生产物流智能管控系统分为PC端和智能体客户端两个方面，在PC端的功能主要有生产管理、配送管理、仓储管理、以及智能体管理等四个模块；在智能体客户端，则为智能体任务管理模块。Dynamic production logistics intelligent management and control system based on industrial agents and other four modules; in the agent client, it is the agent task management module.
与现有技术相比，本发明的有益效果如下：将智能便携式物联设备及概念从民用引入工业领域，结合当前工业发展阶段和企业接受程度，总结典型需求对工业用智能便携式物联设备的功能进行层级化、模块化分类，开发低应用门槛的系列化、模块化的工业智能便携式物联设备，扩大普及应用潜力。Compared with the prior art, the beneficial effects of the present invention are as follows: the intelligent portable IoT devices and concepts are introduced into the industrial field from civilian use, combined with the current industrial development stage and the acceptance degree of enterprises, the typical requirements for industrial intelligent portable IoT devices are summarized. The functions are hierarchical and modularized, and serialized and modularized industrial intelligent portable IoT devices with low application thresholds are developed to expand the potential of popularization and application.
通过将工业智能便携式物联设备的实时信息处理能力与人力资源的业务执行能力进行实体物理融合以及信息逻辑融合，提出了基于智能便携式物联设备的“人-机融合”工业智能体建模与管理方法，并建立可扩展、易配置的通用信息架构将工业智能体与传统物联网设备进行一致性管理。By combining the real-time information processing capabilities of industrial intelligent portable IoT devices with the business execution capabilities of human resources, physical and information fusion and information logic fusion, a "human-machine fusion" industrial agent modeling and integration method based on intelligent portable IoT devices is proposed. management methods, and establish a general information architecture that is scalable and easy to configure to manage the consistency between industrial agents and traditional IoT devices.
在企业私有云平台下提出随机事件触发、工业智能体实时信息驱动的动态生产物流两阶段云服务调度方法，以实时应对随机事件造成的生产计划、任务的动态扰动，保证生产物流过程的顺畅执行。A two-stage cloud service scheduling method for dynamic production logistics, triggered by random events and driven by real-time information of industrial agents, is proposed under the enterprise private cloud platform to deal with the dynamic disturbance of production plans and tasks caused by random events in real time and ensure the smooth execution of the production and logistics process. .
附图说明Description of drawings
图1为本发明的整体研究内容技术框架图；Fig. 1 is the overall research content technical framework diagram of the present invention;
图2为本发明的面向简单数据获取的工业智能便携式物联设备框架图；2 is a frame diagram of an industrial intelligent portable IoT device oriented to simple data acquisition of the present invention;
图3为本发明的面向行为逻辑处理的工业智能便携式物联设备框架图；3 is a framework diagram of an industrial intelligent portable IoT device oriented to behavioral logic processing of the present invention;
图4为本发明的面向复杂数据获取的工业智能便携式物联设备框架图；4 is a framework diagram of an industrial intelligent portable IoT device oriented to complex data acquisition according to the present invention;
图5为本发明的智能便携式物联设备开发技术路线图；5 is a technical roadmap for the development of an intelligent portable IoT device of the present invention;
图6为本发明的基于智能便携式物联设备的“人-机融合”工业智能体模型图；FIG. 6 is a model diagram of a “human-machine fusion” industrial agent based on an intelligent portable IoT device of the present invention;
图7为本发明的生产物流信息服务中心模型图；Fig. 7 is the production logistics information service center model diagram of the present invention;
图8为本发明的基于工业智能体的动态生产物流云服务调度机制图；FIG. 8 is a schematic diagram of a dynamic production logistics cloud service scheduling mechanism based on an industrial agent of the present invention;
图9为本发明的基于工业智能便携式物联设备的生产物流智能管控系统功能模型图。FIG. 9 is a functional model diagram of the production logistics intelligent management and control system based on the industrial intelligent portable IoT device of the present invention.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
在本发明的描述中，需要说明的是，术语“上”、“下”、“内”、“外”“前端”、“后端”、“两端”、“一端”、“另一端”等指示的方位或位置关系为基于附图所示的方位或位置关系，仅是为了便于描述本发明和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本发明的限制。此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性。In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end" and "the other end" The orientation or positional relationship indicated by etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the indicated device or element must have a specific orientation, with a specific orientation. The orientation configuration and operation are therefore not to be construed as limitations of the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed to indicate or imply relative importance.
在本发明的描述中，需要说明的是，除非另有明确的规定和限定，术语“安装”、“设置有”、“连接”等，应做广义理解，例如“连接”，可以是固定连接，也可以是可拆卸连接，或一体地连接；可以是机械连接，也可以是电连接；可以是直接相连，也可以通过中间媒介间接相连，可以是两个元件内部的连通。对于本领域的普通技术人员而言，可以具体情况理解上述术语在本发明中的具体含义。In the description of the present invention, it should be noted that, unless otherwise expressly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense, for example, "connected" may be a fixed connection It can also be a detachable connection or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or the internal communication between the two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood in specific situations.
实施例1Example 1
请参阅图1，本发明提供的一种实施例：一种面向高动态生产物流环境的智能物联管理系统，第一层为智能对象层，旨在于使用工业可穿戴和物联网设备将“生产-物流”过程中的“人”和“物”进行智能封装，下达工作任务并反馈任务状态；第二层为资源管理层，支持智能对象以工作流方式自主接入、动态管理；第三层为服务层，支持管理者和操作者基于特定业务流程进行双向信息交互，任务下达与执行反馈；上三层为面向智能对象的生产物流管理平台；第四层为应用层，是执行特定生产物流管理的用户接口层。Please refer to FIG. 1, an embodiment provided by the present invention: an intelligent IoT management system for a highly dynamic production logistics environment. The first layer is a smart object layer, which aims to use industrial wearable and IoT devices -Intelligent encapsulation of "people" and "things" in the process of logistics, assigning work tasks and feeding back task status; the second layer is the resource management layer, which supports intelligent objects to be accessed and dynamically managed in the way of workflow; the third layer is It is the service layer, which supports managers and operators to conduct two-way information exchange based on specific business processes, task assignment and execution feedback; the upper three layers are the intelligent object-oriented production logistics management platform; the fourth layer is the application layer, which is to implement specific production logistics. Management user interface layer.
请参阅图2，面向简单数据获取的工业智能便携式物联设备，工业环境下很多规律性的操作行为，例如收货确认、货品清点需要工人执行简单的批量数据读取操作；集成与简单操作相对应的独立传感模块的智能便携式物联设备，可避免引入价格昂贵、功能冗余的传统物联网设备；工人可在执行操作行为的同时利用智能便携式物联设备进行便捷的数据获取，避免消耗额外的设备操作时间，使生产物流执行过程高效执行。Please refer to Figure 2, the industrial intelligent portable IoT device for simple data acquisition, many regular operation behaviors in the industrial environment, such as receipt confirmation, goods inventory, require workers to perform simple batch data reading operations; integration and simple operations are related. Corresponding smart portable IoT devices with independent sensing modules can avoid the introduction of expensive and redundant traditional IoT devices; workers can use smart portable IoT devices to obtain convenient data while performing operational actions, avoiding consumption Additional equipment operation time enables efficient execution of production logistics execution processes.
请参阅图3，面向行为逻辑处理的工业智能便携式物联设备，工业环境中的部分操作行为，会因为数据的易错性和管理安全性需求，需要工人在执行数据读取操作后再额外进行“逻辑处理”来实现数据的确认/取消、累计、对比等管理功能；除简单的传感模块外，将在智能便携式物联设备中集成行为识别模块将人类简单行为转换为对读取数据进行附加处理的逻辑操作符；与操作过程并行完成的数据采集和处理将避免消耗额外的设备操作时间，使生产物流执行过程高效执行。Please refer to Figure 3. Industrial intelligent portable IoT devices oriented to behavioral logic processing. Some operational behaviors in the industrial environment will require workers to perform additional data reading operations due to the error-prone data and management security requirements. "Logical processing" to realize the management functions such as data confirmation/cancellation, accumulation, and comparison; in addition to the simple sensing module, the behavior recognition module will be integrated in the intelligent portable IoT device to convert the simple human behavior into reading data. Logical operators for additional processing; data acquisition and processing done in parallel with the operation process will avoid consuming additional equipment operation time and enable efficient execution of the production logistics execution process.
请参阅图4，面向复杂数据获取的工业智能便携式物联设备，高动态性工业环境中存在需要进行复杂数据输入的操作行为；体现于需要在不同时间获取不同维度的数据，也可能体现在获取数据后需进行比逻辑处理更加复杂的数学处理；因此，工业智能便携式物联设备将提供即插即用Plug-in型传感模块接口，使操作者可面向动态需求进行传感、行为模块的随时更换；在保证穿戴人体工学的前提下以可插拔模式保证操作灵活性，而多模块可在操作组内共享保证成本经济性。Please refer to Figure 4. Industrial intelligent portable IoT devices for complex data acquisition. In a highly dynamic industrial environment, there are operational behaviors that require complex data input; it is reflected in the need to acquire data of different dimensions at different times, and it may also be reflected in the acquisition of After the data, more complex mathematical processing than logical processing is required; therefore, the industrial intelligent portable IoT device will provide a plug-and-play Plug-in sensor module interface, so that the operator can perform sensor and behavior modules for dynamic needs. Replaceable at any time; pluggable mode ensures operational flexibility without compromising wear ergonomics, and multiple modules can be shared within an operating group to ensure cost economy.
实施例2Example 2
一种面向高动态生产物流环境的智能物联管理系统，基于智能便携式物联设备的“人-机融合”工业智能体建模与管理，将工业智能便携式物联设备的信息处理能力以及制造资源的任务执行能力集成后，进行工业智能体的建模与封装，实现二者的信息与物理融合，使之成为同时具备智能信息管理与任务实时执行能力的工业智能体；该类工业智能体具备资源注册、资源发现、资源能力管理、资源任务管理、资源监控的功能，支持可按需配置的工作流程，可通过多类网络协议接入云制造管理中心，受云资源管理中心的统一管理。An intelligent IoT management system for a highly dynamic production and logistics environment, based on the "human-machine fusion" industrial agent modeling and management of intelligent portable IoT devices, integrates the information processing capabilities and manufacturing resources of industrial intelligent portable IoT devices After the integration of the task execution capabilities, the modeling and encapsulation of the industrial agent is carried out to realize the information and physical integration of the two, making it an industrial agent with both intelligent information management and real-time task execution capabilities; this type of industrial agent has The functions of resource registration, resource discovery, resource capability management, resource task management, and resource monitoring support the workflow that can be configured on demand, and can be accessed to the cloud manufacturing management center through multiple types of network protocols, and is under the unified management of the cloud resource management center.
基于工业智能体的动态生产物流两阶段云服务调度管理，生产物流过程中发生的随机性事件，导致既有生产-物流计划产生不同程度的扰动，严重者甚至计划失衡，难以继续执行；需研究基于工业智能便携式物联设备实时信息驱动的动态生产物流云服务决策机制及决策的方法，进行生产物流服务的分解、重组等业务过程的变更，以及基于智能便携式物联设备实时信息驱动的考虑资源动态定位的生产物流服务-资源匹配优化方法。Two-stage cloud service scheduling management of dynamic production logistics based on industrial agents, random events in the production and logistics process lead to different degrees of disturbance to the existing production-logistics plan, and even the plan is unbalanced in severe cases, and it is difficult to continue to execute; research is needed. Based on the decision-making mechanism and decision-making method of dynamic production logistics cloud service driven by real-time information of industrial intelligent portable IoT devices, it can change business processes such as decomposition and reorganization of production logistics services, and consider resources driven by real-time information driven by intelligent portable IoT devices. Dynamic positioning of production logistics service-resource matching optimization method.
基于工业智能体的动态生产物流智能管控系统，基于智能便携式物联设备与制造资源融合后的工业智能体，构建动态生产物流智能管控系统，实现对动态生产物流业务进行计划管控、任务管控、以及任务执行管控和实时决策管理，实现制造资源的智能性、任务执行的实时性，以提升动态生产物流的执行效率。A dynamic production logistics intelligent management and control system based on industrial agents, based on an industrial intelligent body that integrates intelligent portable IoT devices and manufacturing resources, to build a dynamic production logistics intelligent management and control system to realize plan management, task management and control of dynamic production logistics business. Task execution control and real-time decision management realize the intelligence of manufacturing resources and real-time task execution to improve the execution efficiency of dynamic production logistics.
实施例3Example 3
请参阅图5，一种面向高动态生产物流环境的智能物联管理系统技术路线，实现智能便携式物联设备的技术路线，面向简单数据获取的工业智能便携式物联设备技术路线，基于君正Nenton2开发平台，在M200芯片上集成单个模块或传感器，来实现简单的数据输入；面向行为逻辑处理的工业智能便携式物联设备技术路线，基于君正Nenton2开发平台，在Android Framework上设计“行为-数据”转换算法包，M200芯片内部集成的行为传感器(如九轴传感器等)在该平台上通过调取“行为-数据”转换算法包将员工的行为动作转换为数据；面向复杂数据获取的工业智能便携式物联设备技术路线，基于君正Nenton2开发平台，在M200芯片上开发能够集成不同传感器等模块的通用接口，来实现M200芯片与不同模块的即插即用功能。Please refer to Figure 5, a technical route of an intelligent IoT management system for a highly dynamic production and logistics environment, a technical route for realizing intelligent portable IoT devices, and a technical route for industrial intelligent portable IoT devices for simple data acquisition, based on Ingenious Nenton2 The development platform integrates a single module or sensor on the M200 chip to realize simple data input; the technical route of industrial intelligent portable IoT devices for behavioral logic processing is based on the Inner Nenton2 development platform, and the "behavior-data" is designed on the Android Framework. "Conversion algorithm package, the behavior sensor (such as nine-axis sensor, etc.) integrated in the M200 chip converts the behavior and actions of employees into data by calling the "behavior-data" conversion algorithm package on this platform; industrial intelligence for complex data acquisition The technical route of portable IoT devices is based on the Inner Nenton2 development platform, and a general interface that can integrate different sensors and other modules is developed on the M200 chip to realize the plug-and-play function of the M200 chip and different modules.
实施例4Example 4
请参阅图6和图7，一种面向高动态生产物流环境的智能物联管理系统，基于智能便携式物联设备的“人-机融合”工业智能体建模与管理，工业智能体的信息管理能力通过对硬件产品的开发，内置在工业可穿戴智能设备中，可在云资源注册中心进行注册登记，具备网络连接、实时信息接收、处理、反馈的能力；工业智能体的实际业务执行能力，通过对生产物流资源的服务能力进行建模，将其存储在云端的资源管理中心，具备依据操作指令执行现场业务的能力；存储在云资源注册中心的工业智能便携式物联设备与人力资源的注册信息进行逻辑配对，实现工业智能体的信息管理能力与业务执行能力的逻辑绑定；人力资源通过佩戴智能便携式物联设备，实现工业智能体的信息管理能力与工业智能体的业务执行能力的物理绑定；实现逻辑绑定和物理绑定后的工业智能体的信息-执行交互工作机制：工业智能便携式物联设备从云端获取的实时生产物流任务信息驱动人力资源进行实际业务的执行，人力资源通过工业智能便携式物联设备将任务执行的实际结果实时反馈到云端任务执行管理中心；生产物流信息服务中心，是生产物流资源及其服务信息的存储中心，通过标准的服务接口对外提供智能资源和生产物流服务的管理功能；元数据是用来支持构建智能资源及其生产物流服务的基础数据。Please refer to Figure 6 and Figure 7, an intelligent IoT management system for a highly dynamic production and logistics environment, based on the "human-machine fusion" industrial agent modeling and management of intelligent portable IoT devices, and information management of industrial agents Capability Through the development of hardware products, built into industrial wearable smart devices, and can be registered in the cloud resource registration center, with the ability of network connection, real-time information reception, processing, and feedback; the actual business execution capabilities of industrial agents, By modeling the service capabilities of production logistics resources and storing them in the resource management center in the cloud, it has the ability to perform on-site business according to operational instructions; the industrial intelligent portable IoT devices stored in the cloud resource registration center and the registration of human resources The information is logically paired to realize the logical binding of the information management ability of the industrial agent and the business execution ability; the human resources can realize the physical integration of the information management ability of the industrial agent and the business execution ability of the industrial agent by wearing intelligent portable IoT devices. Binding; the information-execution interaction working mechanism of the industrial intelligent body after logical binding and physical binding: the real-time production and logistics task information obtained by the industrial intelligent portable IoT device from the cloud drives the human resources to carry out the actual business execution, and the human resources The actual results of task execution are fed back to the cloud task execution management center in real time through industrial intelligent portable IoT devices; the production logistics information service center is a storage center for production logistics resources and service information, and provides intelligent resources and services through standard service interfaces. The management function of production logistics services; metadata is the basic data used to support the construction of intelligent resources and production logistics services.
请参阅图8，基于工业智能体的动态生产物流两阶段云服务调度管理，生产物流执行的过程中，由于不确定事件随机发生，导致生产物流计划、任务的实时完工时间、完工状态的不确定性，当服务的实际执行情况超出已有生产物流计划所预先设定的阈值范围时，则触发生产物流业务服务需求的优化调度，通过进行生产物流的服务分解、服务组合、以及优化方法，生成新的服务需求序列；新的服务需求序列产生后，取出需要优先执行的服务需求，触发基于资源实时定位的实时生产物流服务-资源优化匹配，根据服务需求信息、资源所提供的服务能力信息、以及资源的实时位置信息，确定能够提供服务的资源集合，进行优化匹配，择优选取后将任务下达到相应的资源开始执行服务。Please refer to Figure 8. Two-stage cloud service scheduling management for dynamic production logistics based on industrial agents. During the execution of production logistics, uncertain events occur randomly, resulting in uncertainty in production logistics plans, real-time completion time of tasks, and completion status. When the actual implementation of the service exceeds the preset threshold range of the existing production logistics plan, the optimal scheduling of the production logistics business service requirements will be triggered. New service demand sequence; after the new service demand sequence is generated, the service demand that needs to be executed first is taken out, and the real-time production logistics service-resource optimization matching based on real-time resource positioning is triggered. According to service demand information, service capability information provided by resources, As well as the real-time location information of resources, determine the set of resources that can provide services, optimize and match, and then assign tasks to the corresponding resources to start the service.
请参阅图9，基于工业智能体的动态生产物流智能管控系统，该生产物流智能管控系统分为PC端和智能体客户端两个方面，在PC端的功能主要有生产管理、配送管理、仓储管理、以及智能体管理等四个模块；在智能体客户端，则为智能体任务管理模块。Please refer to Figure 9, a dynamic production logistics intelligent management and control system based on industrial agents. The production logistics intelligent management and control system is divided into two aspects: PC terminal and intelligent client. The functions of the PC terminal mainly include production management, distribution management, and warehouse management. , and four modules such as agent management; in the agent client, it is the agent task management module.
实施例5Example 5
一种面向高动态生产物流环境的智能物联管理系统及管控系统，应用前景及效益分析：在工业4.0的大环境下，本发明将研发面向高动态“生产-物流”过程的便携式智能物联设备及管控平台，实现与传统操作者在生产过程中的无缝融合。因此本项目在技术架构和管理架构上会在前期研发的物联网设备及其管理系统进行继承与集成，形成智能化管控模式来改变当前以人工的方式进行任务处理和设备操作为主的企业运作模式。本智能便携式物联设备不仅能给企业带来良好的经济效益，还能提升智能便携式物联设备与系统企业的核心竞争力，实现双赢的局面。通过实时信息感知设备等新一代信息技术应用于企业的人机物来获取制造系统的实时的精准物理信号、监测项目和管理指标，建立起一个实时信息管理系统，以此实现企业高水平的信息化管理；再通过信息应用和大数据分析来进行有效的资源配置、过程调度和负荷控制，并利用现场的实时信息联动来维持系统的优态运行，从而提高资源的利用率，降低在制品库存以及物流仓储成本。此外，还可以加强企业应对市场的变化能力，巩固其在市场竞争中的有利地位，进一步扩大市场占有率，更好地发挥规模化经济的优势，促进其快速发展。An intelligent IoT management system and management and control system oriented to a highly dynamic production and logistics environment, application prospect and benefit analysis: In the context of Industry 4.0, the present invention will develop a portable intelligent IoT oriented high dynamic "production-logistics" process Equipment and control platform to achieve seamless integration with traditional operators in the production process. Therefore, in terms of technical architecture and management architecture, this project will inherit and integrate the IoT devices and their management systems developed in the early stage to form an intelligent management and control model to change the current enterprise operation that is mainly based on manual task processing and equipment operation. model. The intelligent portable IoT device can not only bring good economic benefits to the enterprise, but also enhance the core competitiveness of the intelligent portable IoT device and system enterprises, and achieve a win-win situation. Through the application of new-generation information technology such as real-time information sensing equipment to the human, machine and objects of the enterprise, the real-time accurate physical signals, monitoring items and management indicators of the manufacturing system are obtained, and a real-time information management system is established to realize the high-level information of the enterprise. management; then through information application and big data analysis to carry out effective resource allocation, process scheduling and load control, and use on-site real-time information linkage to maintain the optimal operation of the system, thereby improving resource utilization and reducing work-in-process inventory and logistics and warehousing costs. In addition, it can also strengthen the company's ability to respond to market changes, consolidate its favorable position in the market competition, further expand its market share, better utilize the advantages of economies of scale, and promote its rapid development.
本智能便携式物联设备能为企业及行业带来良好的社会效益。通过信息管理技术上的创新，可以加强企业文化建设，塑造良好的企业形象，扩大企业品牌影响力，增强企业核心竞争力，提升企业软实力，提高企业的科技文化素质，同时也能使实施企业在同行业中起到积极的示范作用，促进行业的管理技术创新和信息化水平的提高，引领行业走技术创新发展的道路，并将对广东甚至国内的工业4.0建设有推动作用。该项目的研发能够促进产学研合作，为企业和高校培养研究实践型人才，为社会输送综合素质优良的高层次科技人才。为了充分实现各生产企业与高校间的优势互补，避免研究项目的简单重复和资金人员浪费，发挥高新技术研究的整体优势，需要一个支撑环境和机制来实现人才的有机集成。因此，开展校企合作研究开发、设计、制造已经成为一个必然的趋势。通过工业互联网信息架构的研发，可以进行有效的协同攻关，形成技术创新的环境，促进新技术的产业化。This intelligent portable IoT device can bring good social benefits to enterprises and industries. Through the innovation of information management technology, we can strengthen the construction of corporate culture, create a good corporate image, expand corporate brand influence, enhance corporate core competitiveness, enhance corporate soft power, and improve corporate technological and cultural quality. It plays a positive demonstration role in the same industry, promotes the management technology innovation and informatization level of the industry, leads the industry to take the road of technological innovation and development, and will play a role in promoting the construction of Industry 4.0 in Guangdong and even in China. The research and development of this project can promote industry-university-research cooperation, cultivate research and practical talents for enterprises and universities, and deliver high-level scientific and technological talents with excellent comprehensive quality to the society. In order to fully realize the complementary advantages between production enterprises and universities, avoid the simple duplication of research projects and waste of funds and personnel, and give full play to the overall advantages of high-tech research, a supporting environment and mechanism are needed to realize the organic integration of talents. Therefore, it has become an inevitable trend to carry out school-enterprise cooperation in research and development, design and manufacturing. Through the research and development of industrial Internet information architecture, effective collaborative research can be carried out, an environment for technological innovation can be formed, and the industrialization of new technologies can be promoted.
对于本领域技术人员而言，显然本发明不限于上述示范性实施例的细节，而且在不背离本发明的精神或基本特征的情况下，能够以其他的具体形式实现本发明。因此，无论从哪一点来看，均应将实施例看作是示范性的，而且是非限制性的，本发明的范围由所附权利要求而不是上述说明限定，因此旨在将落在权利要求的等同要件的含义和范围内的所有变化囊括在本发明内。不应将权利要求中的任何附图标记视为限制所涉及的权利要求。It will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, but that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the invention is to be defined by the appended claims rather than the foregoing description, which are therefore intended to fall within the scope of the claims. All changes within the meaning and scope of the equivalents of , are included in the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113032155A (en)* | 2021-05-25 | 2021-06-25 | 深圳大学 | Cloud edge resource cooperative scheduling method driven by time-space data visualization task |
| CN113139172A (en)* | 2021-04-23 | 2021-07-20 | 上海中通吉网络技术有限公司 | Equipment automatic docking platform suitable for logistics industry |
| CN114817375A (en)* | 2022-06-24 | 2022-07-29 | 深圳市智联物联科技有限公司 | Industrial internet data acquisition management system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113139172A (en)* | 2021-04-23 | 2021-07-20 | 上海中通吉网络技术有限公司 | Equipment automatic docking platform suitable for logistics industry |
| CN113139172B (en)* | 2021-04-23 | 2023-08-11 | 上海中通吉网络技术有限公司 | An independent docking platform for equipment in the logistics industry |
| CN113032155A (en)* | 2021-05-25 | 2021-06-25 | 深圳大学 | Cloud edge resource cooperative scheduling method driven by time-space data visualization task |
| CN114817375A (en)* | 2022-06-24 | 2022-07-29 | 深圳市智联物联科技有限公司 | Industrial internet data acquisition management system |
| CN114817375B (en)* | 2022-06-24 | 2022-11-01 | 深圳市智联物联科技有限公司 | Industrial internet data acquisition management system |
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