MES system data acquisition and processing system and method combined with industrial internet

Abstract

The invention discloses an MES system data collecting and processing system and method combined with the industrial internet. The MES system data collecting and processing system comprises an equipment layer and a network layer. The network layer comprises a forwarding layer, a control layer and a management layer; the collecting and processing method comprises the following steps that S1, the data collecting and processing system collects various production data and uploads the production data to the network layer; s2, bearing network slices by HQoS, and distributing different bandwidths and delay time; s3, the control layer generates a corresponding logic network slice instance in the physical network, and slices according to the service access point by adopting a special line type slice; s4, the network layer manages the life cycle of the network slice instance of the control layer through the management layer; and S5, the platform layer performs man-machine interaction operation, and stores and processes the data. According to the invention, the industrial internet and the MES system are combined to form a more flexible and dynamic data processing network, and the congestion problem in the data transmission process can be effectively solved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and specifically to a MES system data acquisition and processing system and method combined with the industrial Internet. Background Art

[0002] Industrial Internet is a new type of infrastructure that deeply integrates the new generation of information and communication technology with the industrial economy. Through the comprehensive connection of people, machines, objects, systems, etc., it builds a new manufacturing and service system covering the entire industrial chain and the entire value chain. It provides a way to achieve the development of digitalization, networking and intelligence of industry and even industry.

[0003] The MES system is a production information management system for the execution layer of the workshop of manufacturing enterprises. MES can provide enterprises with management modules including manufacturing data management, planning and scheduling management, production scheduling management, inventory management, quality management, human resources management, work center / equipment management, tool and fixture management, procurement management, cost management, project kanban management, production process control, bottom-level data integration analysis, and upper-level data integration decomposition, creating a solid, reliable, comprehensive, and feasible manufacturing collaborative management platform for enterprises.

[0004] Combined with the different situations in which the MES system is actually used, there may be different requirements for network performance. For example, the transmission of high-definition surveillance video requires a higher bandwidth, while the transmission of sensor data does not require bandwidth, but only requires low-latency transmission. In the data collection process of the traditional MES system, sensor data, equipment operating status data, production plan data and other data information share the same network, which is easy to cause congestion or delay, which is not conducive to the stable and reliable operation of the MES system and reduces the effect of actual application. Summary of the invention

[0005] The purpose of the present invention is to provide a MES system data acquisition and processing system and method combined with the industrial Internet to solve the problems raised in the above background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a data acquisition and processing system of an MES system combined with the industrial Internet, including a device layer and a network layer;

[0007] The equipment layer consists of data collection modules and feedback modules installed in production equipment;

[0008] The data collection module is installed inside multiple production equipment control terminals, the sensors, PLC and RFID tag collection modules of the production equipment are connected to the production equipment control terminals respectively, and the data output terminal of the production equipment control terminal is connected to the data input terminal of the data collection module;

[0009] The data output terminal of the feedback module is connected to the data input terminal of the production equipment control terminal;

[0010] The device layer and the network layer are connected using Internet gateways and optical fiber lines;

[0011] Among them, the network layer includes the forwarding layer, the control layer and the management layer, and a control network is built between the management layer and the forwarding layer and the control layer.

[0012] Preferably, the data acquisition and processing system further comprises a platform layer, which is composed of a background monitoring terminal belonging to a plurality of production equipments and a display control terminal of the data acquisition and processing system;

[0013] The platform layer and the network layer are connected by optical fiber lines.

[0014] The data collection and processing method comprises the following steps:

[0015] S1: The data acquisition and processing system collects various production data through the equipment layer, converts the production data into a communication protocol through an Internet gateway, and uploads it to the network layer of the data acquisition and processing system;

[0016] S2: The network layer distributes data to the forwarding layer, which segments and isolates the data and distributes it to different network slices.

[0017] With HQoS as the carrier of network slices, the MES system determines the data execution tasks and execution priorities, schedules the tasks executed by the network slices, and allocates different bandwidths and delay times;

[0018] S3: The forwarding layer sends the tasks carried by the network slice to the control layer. The control layer generates the corresponding logical network slice instance in the physical network and slices it according to the service access point using dedicated line slices.

[0019] S4: The network layer manages the lifecycle of the network slice instances of the control layer through the management layer, including the planning, deployment, maintenance and optimization of the slices;

[0020] S5: The network layer data is transmitted to the platform layer through the Internet connection through the slice instance generated by the control layer. The platform layer performs human-computer interaction and stores and processes the data.

[0021] Preferably, in step S1:

[0022] Production data includes personnel information, personnel permissions, material supply data, production data, available project range, and inventory information.

[0023] Preferably, in step S2:

[0024] The MES system performs priority scheduling based on the equipment, process and importance of the uploaded data. The priority determination conditions include key production equipment, key production processes and emergency failure events. The setting value of each determination condition is 1-10, which are combined and added to form the priority index. The higher the priority index, the higher the priority of the data slice.

[0025] The network slice that carries mission-critical data allocates bandwidth and adjusts low-latency settings based on the priority of the critical task. The remaining bandwidth is allocated to the network data slices where ordinary business flows are located in order of priority.

[0026] Preferably, in step S3:

[0027] The control layer customizes the logical topology link according to the requirements of enhancing network redundancy and communication between distributed sensor networks. When used to enhance network redundancy, the network is designed as a ring network for communication between distributed sensor networks, and an extended network topology is adopted;

[0028] Integrate the logical topology of the slice with the network resources allocated to the slice to form a network slice that meets the needs and generate a slice instance.

[0029] Preferably, dedicated line slicing includes the following steps:

[0030] S31: Use SRv6 Policyv to specify a service path with resource guarantees between two points in the network;

[0031] S32: End SID is allocated based on the node, and End.X SID is allocated based on the main interface;

[0032] A slice ID identifies a dedicated tunnel with guaranteed resources in the network. Multiple SRv6 Policies can use the same End / End.X SID to form an explicit path.

[0033] Different Slice IDs are used to identify different resources reserved for slices on the path, so as to meet the differentiated SLA guarantee requirements of different dedicated line slices.

[0034] Preferably, in step S4:

[0035] For a single slice, when resources are sufficient and local bandwidth resources are insufficient, bandwidth guarantee is achieved through bandwidth optimization. The QoS mechanism is adopted to dynamically adjust bandwidth allocation according to the priority of the services in the slice determined by the MES system, giving priority to guaranteeing bandwidth for key services.

[0036] When the slice itself is overloaded, the management layer replans existing resources and expands the capacity of the slice;

[0037] The management level plans existing resources by using traffic monitoring tools to collect network resource usage in each area and selecting slices with low demand for a long time. For high-load slices, software-defined networks (SDN) are used to dynamically adjust traffic routing and broadband resources.

[0038] At the same time, it reduces the redundant configuration of low-demand slices and the redundant nodes of the topology of low-demand network slices, and the released resources can be given to high-load slice applications;

[0039] The expansion method is to increase the bandwidth of the slice according to demand, increase the introduced network nodes, virtual machines and computing resources to enhance its processing capacity;

[0040] In addition, during the management process, the use of network function virtualization technology allows flexible deployment of more resources to slices with high loads, providing capacity expansion capabilities.

[0041] Preferably, in step S5:

[0042] After being processed by the MES system, the slice data generated by the network layer is sent to the platform layer first, and then fed back to the MES system through platform layer operations, and then fed back to the production equipment by the data acquisition and processing system;

[0043] The platform layer is used to manually enter and modify production equipment data, task nodes and task priorities through human-computer interaction.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] 1. The present invention adopts network slicing technology to achieve the effect of providing exclusive communication channels for different types of data collection tasks. It can provide multiple logical networks on the same shared network infrastructure. Each logical network serves a specific business type, and each slice can flexibly define its own logical topology, SLA requirements, reliability and security level to meet the differentiated needs of different businesses.

[0046] 2. The present invention adopts soft isolation measures at the forwarding layer to achieve the effect of making the services in different slices independent of each other, which can prevent sudden abnormalities in a slice from affecting other slices and forming a chain reaction. At the same time, it can also improve data security and prevent irrelevant users from accessing information; at the same time, different network slices have some independent network resources and share some resources with each other, so as to provide isolation characteristics that meet business needs while maintaining a certain statistical multiplexing capability.

[0047] 3. The present invention adopts a network slicing solution based on Slice ID, which achieves the effect of not having to configure an independent IP address for each slice interface, and can effectively avoid the problem of busy control system and data processing system caused by the increase in the number of slices. DETAILED DESCRIPTION

[0048] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0049] The present invention provides the following two embodiments:

[0050] Embodiment 1:

[0051] The MES system data acquisition and processing system combined with the industrial Internet includes the equipment layer and the network layer;

[0052] The equipment layer consists of data collection modules and feedback modules installed in production equipment;

[0053] The data collection module is installed inside multiple production equipment control terminals. The sensors, PLC and RFID tag acquisition modules of the production equipment are respectively connected to the production equipment control terminals, and the data output end of the production equipment control terminal is connected to the data input end of the data collection module, and the data output end of the feedback module is connected to the data input end of the production equipment control terminal.

[0054] The device layer and the network layer are connected using Internet gateways and optical fiber lines;

[0055] Among them, the network layer includes the forwarding layer, the control layer and the management layer, and a control network is built between the management layer and the forwarding layer and the control layer.

[0056] The data acquisition and processing system also includes a platform layer, which is composed of a background monitoring terminal belonging to multiple production equipment and a display control terminal of the data acquisition and processing system;

[0057] The platform layer and the network layer are connected by optical fiber lines.

[0058] The equipment layer collects various production data, converts the communication protocol of the production data through the Internet gateway, and uploads it to the network layer in the data acquisition and processing system. If the production data cannot be transmitted directly to the Internet gateway, a communication module is added to the transmission channel between the production data and the Internet gateway to perform protocol conversion. After the communication module performs protocol conversion, it is connected to the Internet gateway.

[0059] Among them, the network layer includes the forwarding layer, the control layer and the management layer. The data acquisition and processing system adopts a cloud network architecture and is installed in the network layer, and the operation end of the data acquisition and processing system is installed in the platform layer.

[0060] Embodiment 2:

[0061] The MES system data collection and processing system and method combined with the industrial Internet include the following steps:

[0062] S1: The data acquisition and processing system collects various production data through the equipment layer, converts the production data into a communication protocol through the Internet gateway, and uploads it to the network layer in the data acquisition and processing system.

[0063] Production data includes personnel information, personnel permissions, material supply data, production data, available project range, and inventory information.

[0064] If the production data cannot be transmitted directly to the Internet gateway, a communication module is added to the transmission channel between the production data and the Internet gateway to perform protocol conversion. After the communication module performs protocol conversion, it is connected to the Internet gateway.

[0065] S2: The network layer distributes data to the forwarding layer, which divides and isolates the data and distributes it to different network slices. The soft isolation measure is adopted to achieve the effect of making the services in different slices independent of each other, which can prevent sudden abnormalities in a slice from affecting other slices and forming a chain reaction. At the same time, it can also improve data security and prevent irrelevant users from accessing information; at the same time, different network slices have some independent network resources and share some resources with each other, so as to provide isolation characteristics that meet business needs while maintaining a certain statistical multiplexing capability. In addition, soft isolation is reflected in that when a slice currently has unused remaining bandwidth, its resources can be temporarily handed over to other slices for use, thereby improving the overall network utilization and avoiding idle resources.

[0066] The network slice is carried in a hierarchical service quality HQoS manner. The MES system determines the data execution task and execution priority, and schedules the tasks executed by the network slice, allocating different bandwidths and delay times. The MES system performs priority scheduling based on the equipment, process and importance of the uploaded data. The priority judgment conditions include key production equipment, key production processes and emergency failure events. The setting value of each judgment condition is 1-10, which are combined and added to form a priority index. The higher the priority index, the higher the priority of the data slice.

[0067] The network slice that carries mission-critical data allocates bandwidth and adjusts low-latency settings based on the priority of the critical task. The remaining bandwidth is allocated to the network data slices where ordinary business flows are located in order of priority.

[0068] The use of network slicing technology can provide exclusive communication channels for different types of data collection tasks. Multiple logical networks can be provided on the same shared network infrastructure. Each logical network serves a specific business type, and each slice can flexibly define its own logical topology, SLA requirements, reliability and security level to meet the differentiated needs of different businesses.

[0069] S3: The forwarding layer passes the tasks carried by the network slice to the control layer. The control layer generates the corresponding logical network slice instance in the physical network and uses dedicated line slicing to slice according to the service access point.

[0070] The control layer customizes the logical topology links according to the requirements of enhancing network redundancy and communication between distributed sensor networks. When used to enhance network redundancy, the network is designed as a ring network for communication between distributed sensor networks, using an extended network topology.

[0071] Integrate the logical topology of the slice with the network resources allocated to the slice to form a network slice that meets the needs and generate a slice instance.

[0072] Dedicated line slicing includes the following steps:

[0073] S31: Use SRv6 Policyv to specify a service path with resource guarantees between two points in the network;

[0074] S32: End SID is allocated based on the node, and End.X SID is allocated based on the main interface;

[0075] A slice ID identifies a dedicated tunnel with guaranteed resources in the network. Multiple SRv6 Policies can use the same End / End.X SID to form an explicit path.

[0076] Different Slice IDs are used to identify different resources reserved for slices on the path, so as to meet the differentiated SLA guarantee requirements of different dedicated line slices.

[0077] The Slice ID-based network slicing solution eliminates the need to configure an independent IP address for each slice interface, effectively avoiding the problem of busy control systems and data processing systems due to the increase in the number of slices.

[0078] S4: The network layer manages the lifecycle of the network slice instances of the control layer through the management layer, including the planning, deployment, maintenance and optimization of the slices.

[0079] For a single slice, when resources are sufficient and local bandwidth resources are insufficient, bandwidth guarantee is achieved through bandwidth optimization. The Quality of Service (QoS) mechanism is adopted to dynamically adjust bandwidth allocation according to the priority of the services within the slice determined by the MES system, giving priority to ensuring bandwidth for key services.

[0080] When the slice itself is overloaded, the management layer replans existing resources and expands the capacity of the slice.

[0081] The management level plans existing resources by using traffic monitoring tools to collect network resource usage in each area and selecting slices with long-term low demand. For high-load slices, software-defined networking (SDN) is used to dynamically adjust traffic routing and broadband resources.

[0082] At the same time, it reduces the redundant configuration of low-demand slices and the redundant nodes in the topology of low-demand network slices, and the released resources can be given to high-load slice applications.

[0083] The expansion method is to increase the bandwidth of the slice according to demand, increase the introduced network nodes, virtual machines and computing resources to enhance its processing capacity;

[0084] In addition, during the management process, the use of network function virtualization technology allows flexible deployment of more resources to slices with high loads, providing capacity expansion capabilities.

[0085] S5: The network layer data is transmitted to the platform layer through the Internet connection through the slice instance generated by the control layer. The platform layer performs human-computer interaction and stores and processes the data.

[0086] The slice data generated by the network layer is processed by the MES system and is first sent to the platform layer. After operation at the platform layer, it is fed back to the MES system and then fed back to the production equipment by the data acquisition and processing system.

[0087] The platform layer is used to manually enter and modify production equipment data, task nodes and task priorities through human-computer interaction.

[0088] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be considered exemplary and non-restrictive in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention.

Claims

1. The MES system data acquisition and processing system combined with the industrial Internet is characterized by: Includes device layer and network layer; The equipment layer consists of data collection modules and feedback modules installed in production equipment; The data collection module is installed inside multiple production equipment control terminals, the sensors, PLC and RFID tag collection modules of the production equipment are connected to the production equipment control terminals respectively, and the data output terminal of the production equipment control terminal is connected to the data input terminal of the data collection module; The data output terminal of the feedback module is connected to the data input terminal of the production equipment control terminal; The device layer and the network layer are connected using Internet gateways and optical fiber lines; Among them, the network layer includes the forwarding layer, the control layer and the management layer, and a control network is built between the management layer and the forwarding layer and the control layer.

2. The MES system data acquisition and processing system combined with the industrial Internet according to claim 1 is characterized in that: The data acquisition and processing system also includes a platform layer, which is composed of a background monitoring terminal belonging to multiple production equipment and a display control terminal of the data acquisition and processing system; The platform layer and the network layer are connected by optical fiber lines.

3. The data acquisition and processing method of the MES system data acquisition and processing system combined with the industrial Internet according to any one of claims 1 to 2, characterized in that: The steps include: S1: The data acquisition and processing system collects various production data through the equipment layer, converts the production data into a communication protocol through an Internet gateway, and uploads it to the network layer of the data acquisition and processing system; S2: The network layer distributes data to the forwarding layer, which segments and isolates the data and distributes it to different network slices. With HQoS as the carrier of network slices, the MES system determines the data execution tasks and execution priorities, schedules the tasks executed by the network slices, and allocates different bandwidths and delay times; S3: The forwarding layer sends the tasks carried by the network slice to the control layer. The control layer generates the corresponding logical network slice instance in the physical network and slices it according to the service access point using dedicated line slices. S4: The network layer manages the lifecycle of the network slice instances of the control layer through the management layer, including the planning, deployment, maintenance and optimization of the slices; S5: The network layer data is transmitted to the platform layer through the Internet connection through the slice instance generated by the control layer. The platform layer performs human-computer interaction and stores and processes the data.

4. The data acquisition and processing method according to claim 3, characterized in that: in, In step S1: Production data includes personnel information, personnel permissions, material supply data, production data, available project range, and inventory information.

5. The data acquisition and processing system and method according to claim 3, characterized in that: in, In step S2: The MES system performs priority scheduling based on the equipment, process and importance of the uploaded data. The priority determination conditions include key production equipment, key production processes and emergency failure events. The setting value of each determination condition is 1-10, which are combined and added to form the priority index. The higher the priority index, the higher the priority of the data slice. The network slice that carries mission-critical data allocates bandwidth and adjusts low-latency settings based on the priority of the critical task. The remaining bandwidth is allocated to the network data slices where ordinary business flows are located in order of priority.

6. The data acquisition and processing system and method according to claim 3, characterized in that: in, In step S3: The control layer customizes the logical topology link according to the requirements of enhancing network redundancy and communication between distributed sensor networks. When used to enhance network redundancy, the network is designed as a ring network for communication between distributed sensor networks, and an extended network topology is adopted; Integrate the logical topology of the slice with the network resources allocated to the slice to form a network slice that meets the needs and generate a slice instance.

7. The data acquisition and processing system and method according to claim 6, characterized in that: Dedicated line slicing includes the following steps: S31: Use SRv6 Policyv to specify a service path with resource guarantees between two points in the network; S32: End SID is allocated based on the node, and End.X SID is allocated based on the main interface; A SliceID identifies a dedicated tunnel with guaranteed resources in the network. Multiple SRv6 Policies can use the same End / End.X SID to form an explicit path. Different Slice IDs are used to identify different resources reserved for slices on the path, so as to meet the differentiated SLA guarantee requirements of different dedicated line slices.

8. The data acquisition and processing system and method according to claim 3, characterized in that: in, In step S4: For a single slice, when resources are sufficient and local bandwidth resources are insufficient, bandwidth guarantee is achieved through bandwidth optimization. The QoS mechanism is adopted to dynamically adjust bandwidth allocation according to the priority of the services in the slice determined by the MES system, giving priority to guaranteeing bandwidth for key services. When the slice itself is overloaded, the management layer replans existing resources and expands the capacity of the slice; The management level plans existing resources by using traffic monitoring tools to collect network resource usage in each area and selecting slices with low demand for a long time. For high-load slices, software-defined networks (SDN) are used to dynamically adjust traffic routing and broadband resources. At the same time, it reduces the redundant configuration of low-demand slices and the redundant nodes of the topology of low-demand network slices, and the released resources can be given to high-load slice applications; The expansion method is to increase the bandwidth of the slice according to demand, increase the network nodes, virtual machines and computing resources introduced to enhance its processing capacity; In addition, during the management process, the use of network function virtualization technology allows flexible deployment of more resources to slices with high loads, providing capacity expansion capabilities.

9. The data acquisition and processing system and method according to claim 3, characterized in that: in, In step S5: After being processed by the MES system, the slice data generated by the network layer is sent to the platform layer first, and then fed back to the MES system through the platform layer operation, and then fed back to the production equipment by the data acquisition and processing system; The platform layer is used to manually enter and modify production equipment data, task nodes and task priorities through human-computer interaction.