CN111917831A - Intelligent Internet of things management system for high-dynamic production logistics environment - Google Patents
Intelligent Internet of things management system for high-dynamic production logistics environment Download PDFInfo
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Abstract
The invention discloses an intelligent internet of things management system for a high-dynamic production logistics environment, wherein the first layer is an intelligent object layer and aims to intelligently package people and objects in a production-logistics process by using industrial wearable and internet of things equipment, issue a work task and feed back a task state; the second layer is a resource management layer and supports the autonomous access and dynamic management of the intelligent object in a workflow way; the third layer is a service layer which supports a manager and an operator to carry out bidirectional information interaction based on a specific business process, and tasks are issued and fed back; the upper three layers are production logistics management platforms facing intelligent objects; the fourth layer is an application layer, which is a user interface layer for performing specific production logistics management. The invention has the advantages of realizing the organic integration of 'management means-information interaction-physical operation', generating the operation process and task receiving/feedback in parallel, and ensuring the convenience of carrying and low cost.
Description
Technical Field
The invention relates to the technical field of intelligent logistics, in particular to an intelligent internet of things management system and a management and control system for a high-dynamic production logistics environment.
Background
The development speed of smart devices is changing day by day, and after smart phones are basically popularized, smart portable internet of things devices become pets of manufacturers and become a new hotspot in electronic product consumption. From an apple watch to a millet bracelet, the intelligent portable internet of things equipment is gradually accepted by the public, however, the development of the intelligent portable internet of things equipment is still in the primary stage in the global scope, the research and development and the technology of products are not mature, the two years in the future are expected to enter a rapid growth period, and the market is at present or the intelligent portable internet of things equipment is expected to be mature.
The intelligent portable internet of things equipment is an important ring for networking people, and is also an important terminal for collecting various data of users besides a mobile phone in a big data era. It is the performance that portable thing allies oneself with equipment function of intelligence is richened gradually that wrist position dresses smart machine wrist-watch gradually, along with intelligent house etc. a series of intelligent ecosystem shaping gradually with the help of internet access, portable thing allies oneself with equipment of intelligence is as the nearest smart machine from the people, when the task of bearing user data collection, more will play a control terminal's role. However, at present, both the function technology level and the user coverage of the intelligent portable internet of things device are in a more elementary stage, and the building of the intelligent ecosystem still has a long way to go in the future. In view of the development trend at home and abroad, in the application field, the intelligent portable internet of things equipment is increasingly required in the fields of medical treatment and health care, body building and health, information entertainment and the like. In contrast, the intelligent wearable device applied to the industrial field has a smaller market scale, but has a wider prospect.
With the wide application of intelligent manufacturing, it is urgently needed to establish a high-dynamic organization mode of production logistics for small batch/individuation, short period, less consumption and matching with information technologies such as network technology and the like. Most traditional manufacturing enterprises in China still arrange operation tasks based on traditional paper task lists due to product characteristics, processing technology, production management modes and other reasons, the task response speed is low, the processing process is time-consuming, and the production time is increased due to serial occurrence of the task response speed and the device operation; even though some large-scale internet of things devices are developed on the market to solve the problem of dynamic task release and processing, the expensive cost also becomes the bottleneck of large-scale application.
Disclosure of Invention
The invention aims to provide an intelligent internet of things management system and a management and control system for a high-dynamic production logistics environment, which have the advantages of realizing the organic integration of management means, information interaction and physical operation, ensuring the parallel occurrence of the operation process and task receiving/feedback, ensuring the convenience of carrying and low cost, and solving the problems that the traditional operation mode is to arrange operation tasks based on a paper task list, the task response speed is low, the processing process consumes a long time, the production time is increased due to the serial occurrence of the operation process and the equipment operation, and the expensive cost also becomes the bottleneck of large-scale application.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent Internet of things management system for a high-dynamic production logistics environment is characterized in that a first layer is an intelligent object layer and aims to intelligently package people and objects in a production-logistics process by using industrial wearable and Internet of things equipment, issue work tasks and feed back task states; the second layer is a resource management layer and supports the autonomous access and dynamic management of the intelligent object in a workflow way; the third layer is a service layer which supports a manager and an operator to carry out bidirectional information interaction based on a specific business process, and tasks are issued and fed back; the upper three layers are production logistics management platforms facing intelligent objects; the fourth layer is an application layer which is a user interface layer for executing specific production logistics management;
for the industrial intelligent portable internet of things equipment with simple data acquisition, a plurality of regular operation behaviors in an industrial environment, such as receiving confirmation and goods counting, require workers to perform simple batch data reading operation; the intelligent portable Internet of things equipment integrating the independent sensing module corresponding to simple operation can avoid the introduction of expensive and functionally redundant traditional Internet of things equipment; workers can utilize the intelligent portable internet of things equipment to obtain data conveniently and quickly while executing operation behaviors, so that extra equipment operation time is avoided being consumed, and the production logistics execution process is executed efficiently;
for the behavior logic processing-oriented industrial intelligent portable internet of things equipment, due to the error-prone property and management safety requirements of data, partial operation behaviors in an industrial environment need to be subjected to logic processing additionally after data reading operation is performed by workers to achieve management functions of data confirmation/cancellation, accumulation, comparison and the like; except for a simple sensing module, a behavior recognition module is integrated in the intelligent portable internet of things device to convert human simple behaviors into logic operational characters for additionally processing read data; the data acquisition and processing completed in parallel with the operation process can avoid consuming extra equipment operation time, so that the production logistics execution process is executed efficiently;
the industrial intelligent portable internet of things equipment for complex data acquisition has an operation behavior of complex data input in a high-dynamic industrial environment; the method is characterized in that data with different dimensions are required to be acquired at different time, and mathematical processing which is more complex than logic processing is required to be performed after the data are acquired; therefore, the industrial intelligent portable internet of things equipment provides a Plug-and-play Plug-in type sensing module interface, so that an operator can sense and change a behavior module at any time according to dynamic requirements; on the premise of ensuring the wearing ergonomics, the operation flexibility is ensured in a pluggable mode, and multiple modules can be shared in an operation group to ensure the cost economy.
An intelligent thing allies oneself with management system to high dynamic production logistics environment, based on "man-machine fusion" industrial intelligent body modeling and management of the intellectual portable thing allies oneself with the apparatus of intellectual property, carry on the modeling and capsulation of the industrial intelligent body after integrating the information processing ability and task executive ability of the manufacturing resource of the intellectual property of the industry, realize the information and physical fusion of the two, make it become possess intellectual information management and task real-time executive ability industrial intelligent body at the same time; the industrial intelligent agent has the functions of resource registration, resource discovery, resource capacity management, resource task management and resource monitoring, supports a workflow which can be configured as required, can access a cloud manufacturing management center through various network protocols, and is subjected to unified management by a cloud resource management center;
dynamic production logistics two-stage cloud service scheduling management based on an industrial intelligent agent, and random events occurring in the production logistics process cause different degrees of disturbance to the existing production-logistics plan, and serious people even plan unbalance are difficult to continuously execute; the dynamic production logistics cloud service decision mechanism and decision method based on real-time information drive of industrial intelligent portable internet of things equipment need to be researched, the business processes such as decomposition and recombination of production logistics services are changed, and the production logistics service-resource matching optimization method based on real-time information drive of intelligent portable internet of things equipment and considering dynamic resource positioning is adopted;
the intelligent management and control system for the dynamic production logistics based on the industrial intelligent agent is constructed based on the intelligent portable internet of things equipment and the industrial intelligent agent after the integration of manufacturing resources, so that planning management and control, task execution management and real-time decision management are performed on the dynamic production logistics service, the intelligence of the manufacturing resources and the real-time performance of the task execution are realized, and the execution efficiency of the dynamic production logistics is improved.
A technical route of an intelligent Internet of things management system facing a high-dynamic production logistics environment realizes a technical route of intelligent portable Internet of things equipment, and a technical route of industrial intelligent portable Internet of things equipment facing simple data acquisition, wherein a single module or a sensor is integrated on an M200 chip based on a Junzhen Nenton2 development platform to realize simple data input; an industrial intelligent portable internet of things equipment technical route oriented to behavior logic processing is based on a Junzhen Nenton2 development platform, a behavior-data conversion algorithm package is designed on an Android Framework, and behavior sensors (such as nine-axis sensors and the like) integrated in an M200 chip convert behavior actions of employees into data on the platform by calling the behavior-data conversion algorithm package; the technical route of the industrial intelligent portable internet of things device for complex data acquisition is based on a Junzhen Nenton2 development platform, universal interfaces capable of integrating modules such as different sensors and the like are developed on an M200 chip, and the plug-and-play function of the M200 chip and different modules is achieved.
An intelligent thing networking management system for a high-dynamic production logistics environment is based on modeling and management of a 'man-machine integration' industrial intelligent agent of intelligent portable thing networking equipment, the information management capability of the industrial intelligent agent is built in industrial wearable intelligent equipment through development of hardware products, and the industrial intelligent agent can be registered and registered in a cloud resource registration center and has the capabilities of network connection, real-time information receiving, processing and feedback; the actual business execution capacity of the industrial intelligent agent is obtained by modeling the service capacity of the product stream resources, storing the service capacity in a cloud resource management center and having the capacity of executing the field business according to the operation instruction; the industrial intelligent portable internet of things equipment stored in the cloud resource registration center is logically paired with registration information of human resources, so that the logical binding of the information management capacity and the service execution capacity of an industrial intelligent agent is realized; the human resources are physically bound with the information management capacity of the industrial intelligent agent and the service execution capacity of the industrial intelligent agent by wearing the intelligent portable internet of things equipment; the information-execution interactive working mechanism of the logically bound and physically bound industrial agents is realized: the industrial intelligent portable internet of things equipment drives human resources to execute actual business from real-time production logistics task information acquired from the cloud, and the human resources feed actual results of task execution back to the cloud task execution management center in real time through the industrial intelligent portable internet of things equipment; the production logistics information service center is a storage center for production logistics resources and service information thereof, and has the management functions of providing intelligent resources and production logistics services to the outside through a standard service interface; the metadata is basic data used for supporting the construction of intelligent resources and production logistics services thereof;
the dynamic production logistics two-stage cloud service scheduling management based on the industrial intelligent agent is characterized in that in the process of executing production logistics, uncertain events occur randomly, so that uncertainty of a production logistics plan, real-time completion time of tasks and completion state is caused, when the actual execution condition of service exceeds a preset threshold range of the existing production logistics plan, optimized scheduling of production logistics business service requirements is triggered, and a new service requirement sequence is generated by performing service decomposition, service combination and optimization methods of the production logistics; after a new service demand sequence is generated, taking out service demands needing to be executed preferentially, triggering real-time production logistics service-resource optimization matching based on resource real-time positioning, determining a resource set capable of providing service according to service demand information, service capability information provided by resources and real-time position information of the resources, performing optimization matching, and issuing tasks to corresponding resources to start executing service after preferential selection;
the intelligent management and control system for the dynamic production logistics based on the industrial intelligent agent is divided into a PC end and an intelligent agent client end, and the PC end mainly has four modules of production management, delivery management, storage management, intelligent agent management and the like; and the intelligent agent client is an intelligent agent task management module.
Compared with the prior art, the invention has the following beneficial effects: the intelligent portable internet of things equipment and the concept are introduced into the industrial field from civilian use, the functions of the industrial intelligent portable internet of things equipment are classified in a hierarchical and modular mode according to typical requirements by combining the current industrial development stage and the enterprise acceptance degree, the serialized and modular industrial intelligent portable internet of things equipment with low application threshold is developed, and the popularization and application potential is expanded.
The real-time information processing capacity of the industrial intelligent portable internet of things equipment and the service execution capacity of human resources are subjected to physical fusion and information logic fusion, a man-machine fusion industrial intelligent body modeling and management method based on the intelligent portable internet of things equipment is provided, and an extensible and easily-configured general information framework is established to carry out consistency management on the industrial intelligent body and the traditional internet of things equipment.
A two-stage cloud service scheduling method for dynamic production logistics, which is triggered by random events and driven by real-time information of industrial intelligent agents, is provided under an enterprise private cloud platform so as to cope with dynamic disturbance of production plans and tasks caused by the random events in real time and guarantee smooth execution of a production logistics process.
Drawings
FIG. 1 is a technical framework diagram of the overall research content of the present invention;
FIG. 2 is a frame diagram of the industrial intelligent portable internet of things device facing simple data acquisition according to the invention;
FIG. 3 is a framework diagram of an industrial intelligent portable Internet of things device facing behavior logic processing according to the present invention;
FIG. 4 is a frame diagram of the complex data acquisition oriented industrial intelligent portable internet of things device of the present invention;
fig. 5 is a development technology route diagram of the intelligent portable internet of things device of the present invention;
FIG. 6 is a diagram of a human-machine integration industrial intelligent body model based on the intelligent portable internet of things device;
FIG. 7 is a diagram of a production logistics information service center model of the present invention;
FIG. 8 is a diagram of an industrial agent-based dynamic production logistics cloud service scheduler of the present invention;
fig. 9 is a functional model diagram of the intelligent management and control system for production logistics based on the industrial intelligent portable internet of things device.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1, an embodiment of the present invention: an intelligent Internet of things management system for a high-dynamic production logistics environment is characterized in that a first layer is an intelligent object layer and aims to intelligently package people and objects in a production-logistics process by using industrial wearable and Internet of things equipment, issue work tasks and feed back task states; the second layer is a resource management layer and supports the autonomous access and dynamic management of the intelligent object in a workflow way; the third layer is a service layer which supports a manager and an operator to carry out bidirectional information interaction based on a specific business process, and tasks are issued and fed back; the upper three layers are production logistics management platforms facing intelligent objects; the fourth layer is an application layer, which is a user interface layer for performing specific production logistics management.
Referring to fig. 2, for the industrial intelligent portable internet of things device with simple data acquisition, many regular operation behaviors in an industrial environment, such as receiving confirmation and goods inventory, require workers to perform simple batch data reading operation; the intelligent portable Internet of things equipment integrating the independent sensing module corresponding to simple operation can avoid the introduction of expensive and functionally redundant traditional Internet of things equipment; the workman can utilize intelligent portable thing to ally oneself with equipment and carry out convenient data acquisition when carrying out the operation action, avoids consuming extra equipment operating time, makes the high-efficient execution of production logistics execution process.
Referring to fig. 3, for the behavior logic processing oriented industrial intelligent portable internet of things device, due to the error-prone property of data and the requirement for management security, a worker needs to perform additional "logic processing" after performing data reading operation to realize management functions such as data confirmation/cancellation, accumulation, comparison and the like in an industrial environment for part of operation behaviors; except for a simple sensing module, a behavior recognition module is integrated in the intelligent portable internet of things device to convert human simple behaviors into logic operational characters for additionally processing read data; the data acquisition and processing completed in parallel with the operation process can avoid consuming extra equipment operation time, and the production logistics execution process can be executed efficiently.
Referring to fig. 4, for the complex data acquisition-oriented industrial intelligent portable internet of things device, there is an operation behavior requiring complex data input in a high-dynamic industrial environment; the method is characterized in that data with different dimensions are required to be acquired at different time, and mathematical processing which is more complex than logic processing is required to be performed after the data are acquired; therefore, the industrial intelligent portable internet of things equipment provides a Plug-and-play Plug-in type sensing module interface, so that an operator can sense and change a behavior module at any time according to dynamic requirements; on the premise of ensuring the wearing ergonomics, the operation flexibility is ensured in a pluggable mode, and multiple modules can be shared in an operation group to ensure the cost economy.
Example 2
An intelligent thing allies oneself with management system to high dynamic production logistics environment, based on "man-machine fusion" industrial intelligent body modeling and management of the intellectual portable thing allies oneself with the apparatus of intellectual property, carry on the modeling and capsulation of the industrial intelligent body after integrating the information processing ability and task executive ability of the manufacturing resource of the intellectual property of the industry, realize the information and physical fusion of the two, make it become possess intellectual information management and task real-time executive ability industrial intelligent body at the same time; the industrial intelligent agent has the functions of resource registration, resource discovery, resource capacity management, resource task management and resource monitoring, supports a workflow which can be configured as required, can access a cloud manufacturing management center through various network protocols, and is uniformly managed by the cloud resource management center.
Dynamic production logistics two-stage cloud service scheduling management based on an industrial intelligent agent, and random events occurring in the production logistics process cause different degrees of disturbance to the existing production-logistics plan, and serious people even plan unbalance are difficult to continuously execute; the dynamic production logistics cloud service decision mechanism and decision method based on real-time information drive of the industrial intelligent portable internet of things equipment need to be researched, the business processes such as decomposition and recombination of production logistics services are changed, and the production logistics service-resource matching optimization method based on real-time information drive of the intelligent portable internet of things equipment and considering dynamic resource positioning is needed.
The intelligent management and control system for the dynamic production logistics based on the industrial intelligent agent is constructed based on the intelligent portable internet of things equipment and the industrial intelligent agent after the integration of manufacturing resources, so that planning management and control, task execution management and real-time decision management are performed on the dynamic production logistics service, the intelligence of the manufacturing resources and the real-time performance of the task execution are realized, and the execution efficiency of the dynamic production logistics is improved.
Example 3
Referring to fig. 5, a technical route of an intelligent internet of things management system for a high-dynamic production logistics environment, a technical route of an intelligent portable internet of things device, a technical route of an industrial intelligent portable internet of things device for simple data acquisition, and a single module or a sensor integrated on an M200 chip based on a Junzhen Nenton2 development platform to realize simple data input; an industrial intelligent portable internet of things equipment technical route oriented to behavior logic processing is based on a Junzhen Nenton2 development platform, a behavior-data conversion algorithm package is designed on an Android Framework, and behavior sensors (such as nine-axis sensors and the like) integrated in an M200 chip convert behavior actions of employees into data on the platform by calling the behavior-data conversion algorithm package; the technical route of the industrial intelligent portable internet of things device for complex data acquisition is based on a Junzhen Nenton2 development platform, universal interfaces capable of integrating modules such as different sensors and the like are developed on an M200 chip, and the plug-and-play function of the M200 chip and different modules is achieved.
Example 4
Referring to fig. 6 and 7, an intelligent internet of things management system for a high dynamic production logistics environment, based on modeling and management of an intelligent portable internet of things device, the information management capability of an industrial intelligent agent is built in an industrial wearable intelligent device through development of hardware products, can be registered in a cloud resource registration center, and has the capabilities of network connection, real-time information receiving, processing and feedback; the actual business execution capacity of the industrial intelligent agent is obtained by modeling the service capacity of the product stream resources, storing the service capacity in a cloud resource management center and having the capacity of executing the field business according to the operation instruction; the industrial intelligent portable internet of things equipment stored in the cloud resource registration center is logically paired with registration information of human resources, so that the logical binding of the information management capacity and the service execution capacity of an industrial intelligent agent is realized; the human resources are physically bound with the information management capacity of the industrial intelligent agent and the service execution capacity of the industrial intelligent agent by wearing the intelligent portable internet of things equipment; the information-execution interactive working mechanism of the logically bound and physically bound industrial agents is realized: the industrial intelligent portable internet of things equipment drives human resources to execute actual business from real-time production logistics task information acquired from the cloud, and the human resources feed actual results of task execution back to the cloud task execution management center in real time through the industrial intelligent portable internet of things equipment; the production logistics information service center is a storage center for production logistics resources and service information thereof, and has the management functions of providing intelligent resources and production logistics services to the outside through a standard service interface; metadata is the fundamental data used to support the construction of smart resources and their production logistics services.
Referring to fig. 8, in the dynamic production logistics two-stage cloud service scheduling management based on an industrial agent, uncertainty of a production logistics plan, real-time completion time of a task and a completion state is caused due to random occurrence of an uncertain event in the process of executing production logistics, when the actual execution condition of service exceeds a preset threshold range of an existing production logistics plan, optimized scheduling of production logistics business service requirements is triggered, and a new service requirement sequence is generated by performing service decomposition, service combination and optimization methods of production logistics; after a new service demand sequence is generated, taking out the service demands needing to be executed preferentially, triggering real-time production logistics service-resource optimization matching based on resource real-time positioning, determining a resource set capable of providing services according to service demand information, service capability information provided by resources and real-time position information of the resources, performing optimization matching, and issuing tasks to corresponding resources to start executing the services after preferential selection.
Referring to fig. 9, the intelligent management and control system for dynamic production logistics based on industrial agents is divided into two aspects, namely a PC end and an agent client, and the PC end mainly has four modules of production management, delivery management, warehousing management, agent management and the like; and the intelligent agent client is an intelligent agent task management module.
Example 5
An intelligent Internet of things management system and a management and control system for a high-dynamic production logistics environment have application prospect and benefit analysis: under the industrial 4.0 environment, the invention develops portable intelligent Internet of things equipment and a control platform oriented to a high-dynamic production-logistics process, and realizes seamless fusion with traditional operators in the production process. Therefore, the internet of things equipment and the management system thereof developed in the prior art are inherited and integrated on the technical architecture and the management architecture, and an intelligent management and control mode is formed to change the current enterprise operation mode mainly based on task processing and equipment operation in a manual mode. The intelligent portable internet of things equipment not only can bring good economic benefits for enterprises, but also can improve the core competitiveness of the intelligent portable internet of things equipment and system enterprises, and realizes a win-win situation. The real-time accurate physical signals, monitoring items and management indexes of a manufacturing system are obtained by applying new generation information technologies such as real-time information sensing equipment and the like to man-machine objects of an enterprise, and a real-time information management system is established so as to realize high-level informatization management of the enterprise; and effective resource allocation, process scheduling and load control are carried out through information application and big data analysis, and the optimal state operation of the system is maintained by utilizing the on-site real-time information linkage, so that the utilization rate of resources is improved, and the inventory of products and the logistics storage cost are reduced. In addition, the market change capability of enterprises can be enhanced, the favorable position of the enterprises in market competition is consolidated, the market share is further enlarged, the advantage of large-scale economy is better played, and the rapid development of the enterprises is promoted.
The intelligent portable internet of things equipment can bring good social benefits to enterprises and industries. Through innovation in the information management technology, the method can strengthen enterprise culture construction, shape good enterprise image, enlarge enterprise brand influence, enhance enterprise core competitiveness, improve enterprise soft strength, improve the scientific and technological culture quality of enterprises, simultaneously enable implementation enterprises to play a positive demonstration role in the same industry, promote management technology innovation and informatization level improvement of the industry, lead the industry to go on the way of technology innovation development, and can promote the Guangdong and even domestic industrial 4.0 construction. The research and development of the project can promote the research and development cooperation of the obstetrics and the schools, cultivate and research practical talents for enterprises and colleges, and convey high-level scientific and technical talents with excellent comprehensive qualities for the society. In order to fully realize the advantage complementation between each production enterprise and colleges and universities, avoid the simple repetition of research projects and the waste of capital personnel and exert the overall advantages of high and new technology research, a supporting environment and a mechanism are needed to realize the organic integration of talents. Therefore, development of research, development, design and manufacture of school-enterprise cooperation has become a necessary trend. Through research and development of industrial internet information architecture, effective collaborative customs clearance can be carried out, an environment of technical innovation is formed, and industrialization of new technology is promoted.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (4)
1. The utility model provides a high dynamic production logistics environment-oriented intelligence thing allies oneself with management system which characterized in that: the first layer is an intelligent object layer and aims to intelligently package people and objects in the production-logistics process by using industrial wearable and Internet of things equipment, issue work tasks and feed back task states; the second layer is a resource management layer and supports the autonomous access and dynamic management of the intelligent object in a workflow way; the third layer is a service layer which supports a manager and an operator to carry out bidirectional information interaction based on a specific business process, and tasks are issued and fed back; the upper three layers are production logistics management platforms facing intelligent objects; the fourth layer is an application layer which is a user interface layer for executing specific production logistics management;
for the industrial intelligent portable internet of things equipment with simple data acquisition, a plurality of regular operation behaviors in an industrial environment, such as receiving confirmation and goods counting, require workers to perform simple batch data reading operation; the intelligent portable Internet of things equipment integrating the independent sensing module corresponding to simple operation can avoid the introduction of expensive and functionally redundant traditional Internet of things equipment; workers can utilize the intelligent portable internet of things equipment to obtain data conveniently and quickly while executing operation behaviors, so that extra equipment operation time is avoided being consumed, and the production logistics execution process is executed efficiently;
for the behavior logic processing-oriented industrial intelligent portable internet of things equipment, due to the error-prone property and management safety requirements of data, partial operation behaviors in an industrial environment need to be subjected to logic processing additionally after data reading operation is performed by workers to achieve management functions of data confirmation/cancellation, accumulation, comparison and the like; except for a simple sensing module, a behavior recognition module is integrated in the intelligent portable internet of things device to convert human simple behaviors into logic operational characters for additionally processing read data; the data acquisition and processing completed in parallel with the operation process can avoid consuming extra equipment operation time, so that the production logistics execution process is executed efficiently;
the industrial intelligent portable internet of things equipment for complex data acquisition has an operation behavior of complex data input in a high-dynamic industrial environment; the method is characterized in that data with different dimensions are required to be acquired at different time, and mathematical processing which is more complex than logic processing is required to be performed after the data are acquired; therefore, the industrial intelligent portable internet of things equipment provides a Plug-and-play Plug-in type sensing module interface, so that an operator can sense and change a behavior module at any time according to dynamic requirements; on the premise of ensuring the wearing ergonomics, the operation flexibility is ensured in a pluggable mode, and multiple modules can be shared in an operation group to ensure the cost economy.
2. The utility model provides a high dynamic production logistics environment-oriented intelligence thing allies oneself with management system which characterized in that: the method comprises the steps that based on the 'man-machine integration' industrial intelligent body modeling and management of intelligent portable internet of things equipment, after information processing capacity of the industrial intelligent portable internet of things equipment and task execution capacity of manufacturing resources are integrated, modeling and packaging of the industrial intelligent body are carried out, information and physics integration of the industrial intelligent body and the industrial intelligent body is achieved, and the industrial intelligent body is enabled to have intelligent information management and task real-time execution capacity; the industrial intelligent agent has the functions of resource registration, resource discovery, resource capacity management, resource task management and resource monitoring, supports a workflow which can be configured as required, can access a cloud manufacturing management center through various network protocols, and is subjected to unified management by a cloud resource management center;
dynamic production logistics two-stage cloud service scheduling management based on an industrial intelligent agent, and random events occurring in the production logistics process cause different degrees of disturbance to the existing production-logistics plan, and serious people even plan unbalance are difficult to continuously execute; the dynamic production logistics cloud service decision mechanism and decision method based on real-time information drive of industrial intelligent portable internet of things equipment need to be researched, the business processes such as decomposition and recombination of production logistics services are changed, and the production logistics service-resource matching optimization method based on real-time information drive of intelligent portable internet of things equipment and considering dynamic resource positioning is adopted;
the intelligent management and control system for the dynamic production logistics based on the industrial intelligent agent is constructed based on the intelligent portable internet of things equipment and the industrial intelligent agent after the integration of manufacturing resources, so that planning management and control, task execution management and real-time decision management are performed on the dynamic production logistics service, the intelligence of the manufacturing resources and the real-time performance of the task execution are realized, and the execution efficiency of the dynamic production logistics is improved.
3. The utility model provides a high dynamic production logistics environment oriented intelligence thing allies oneself with management system technical route which characterized in that: the technical route of the intelligent portable internet of things equipment is realized, the technical route of the industrial intelligent portable internet of things equipment for simple data acquisition is based on a Junzhen Nenton2 development platform, and a single module or a sensor is integrated on an M200 chip to realize simple data input; an industrial intelligent portable internet of things equipment technical route oriented to behavior logic processing is based on a Junzhen Nenton2 development platform, a behavior-data conversion algorithm package is designed on an Android Framework, and behavior sensors (such as nine-axis sensors and the like) integrated in an M200 chip convert behavior actions of employees into data on the platform by calling the behavior-data conversion algorithm package; the technical route of the industrial intelligent portable internet of things device for complex data acquisition is based on a Junzhen Nenton2 development platform, universal interfaces capable of integrating modules such as different sensors and the like are developed on an M200 chip, and the plug-and-play function of the M200 chip and different modules is achieved.
4. The utility model provides a high dynamic production logistics environment-oriented intelligence thing allies oneself with management system which characterized in that: the intelligent portable internet of things device-based 'man-machine integration' industrial intelligent agent modeling and management is realized, the information management capacity of the industrial intelligent agent is built in the industrial wearable intelligent device through development of hardware products, registration can be carried out in a cloud resource registration center, and the intelligent portable internet of things device-based industrial intelligent agent has the capacity of network connection, real-time information receiving, processing and feedback; the actual business execution capacity of the industrial intelligent agent is obtained by modeling the service capacity of the product stream resources, storing the service capacity in a cloud resource management center and having the capacity of executing the field business according to the operation instruction; the industrial intelligent portable internet of things equipment stored in the cloud resource registration center is logically paired with registration information of human resources, so that the logical binding of the information management capacity and the service execution capacity of an industrial intelligent agent is realized; the human resources are physically bound with the information management capacity of the industrial intelligent agent and the service execution capacity of the industrial intelligent agent by wearing the intelligent portable internet of things equipment; the information-execution interactive working mechanism of the logically bound and physically bound industrial agents is realized: the industrial intelligent portable internet of things equipment drives human resources to execute actual business from real-time production logistics task information acquired from the cloud, and the human resources feed actual results of task execution back to the cloud task execution management center in real time through the industrial intelligent portable internet of things equipment; the production logistics information service center is a storage center for production logistics resources and service information thereof, and has the management functions of providing intelligent resources and production logistics services to the outside through a standard service interface; the metadata is basic data used for supporting the construction of intelligent resources and production logistics services thereof;
the dynamic production logistics two-stage cloud service scheduling management based on the industrial intelligent agent is characterized in that in the process of executing production logistics, uncertain events occur randomly, so that uncertainty of a production logistics plan, real-time completion time of tasks and completion state is caused, when the actual execution condition of service exceeds a preset threshold range of the existing production logistics plan, optimized scheduling of production logistics business service requirements is triggered, and a new service requirement sequence is generated by performing service decomposition, service combination and optimization methods of the production logistics; after a new service demand sequence is generated, taking out service demands needing to be executed preferentially, triggering real-time production logistics service-resource optimization matching based on resource real-time positioning, determining a resource set capable of providing service according to service demand information, service capability information provided by resources and real-time position information of the resources, performing optimization matching, and issuing tasks to corresponding resources to start executing service after preferential selection;
the intelligent management and control system for the dynamic production logistics based on the industrial intelligent agent is divided into a PC end and an intelligent agent client end, and the PC end mainly has four modules of production management, delivery management, storage management, intelligent agent management and the like; and the intelligent agent client is an intelligent agent task management module.
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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 | Equipment autonomous docking platform suitable for 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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