CN114296417A - A general process control system for efficient fusion of multi-source data - Google Patents

Abstract

The invention relates to the technical field of reliability of automatic control systems, and discloses a general process control system for efficient fusion of multi-source data, comprising a driver layer, a service layer and an application layer. Service layer, the service layer decouples multi-source data, obtains fusion data, and provides it to the application layer through subscription and publishing. The general process control method and system for efficient fusion of multi-source data of the present invention is universal, efficient and reliable, and is suitable for industrial scenarios with different execution equipment, communication methods, communication protocols, control characteristics and control requirements, and realizes the efficient fusion and control of different data sources. General flow control.

Description

A general process control system for efficient fusion of multi-source data

technical field

The invention relates to the technical field of reliability of automatic control systems, in particular to a general process control system for efficient fusion of multi-source data.

Background technique

Automatic control systems are widely used in industrial production. At present, traditional industrial control systems need to be designed one-to-one for application scenarios. There are problems such as long development cycle, poor versatility, and lack of user customization. At the same time, due to the lack of a unified development standard, the automatic control programs designed by different software engineers are quite different and cannot be used in common with each other.

In addition, the data source of the automatic control process presents the characteristics of multiple data sources, and with the continuous expansion of the automation field, the application scenarios become diverse, which makes the development of automatic control software extremely heavy and increases the occurrence of software vulnerabilities. risks of. With the rapid development of automation technology and information technology, generalization and agile development have become the development direction of automatic control system control software.

In the design of the actual industrial control system, the communication between the execution equipment and the controller includes serial communication (RS232, RS485 and RS422, etc.), CAN bus and Ethernet (TCP, UDP, MAC and DDS, etc.) and other communication methods , even if the communication protocol specification is different in the same communication method, each execution step has different control characteristics and control requirements.

SUMMARY OF THE INVENTION

The purpose of the present invention is to aim at the deficiencies of the above technologies, to provide a general process control system for efficient fusion of multi-source data, which is versatile, efficient and reliable, and is suitable for industrial applications with different execution equipment, communication methods, communication protocols, control characteristics and control requirements. Scenarios to achieve efficient integration of different data sources and general process control.

In order to achieve the above purpose, the general process control system for efficient fusion of multi-source data involved in the present invention includes a driver layer, a service layer and an application layer. The driver layer collects multi-source data transmitted by each execution device and uploads it to the service. Layer, the service layer decouples multi-source data, obtains fusion data, and publishes it by subscription for use by the application layer.

Preferably, the application layer includes a general polynomial parsing module and a generalized process design module, the general polynomial parsing module adopts the SQL language format, and parses the string of the fusion data into a machine-recognizable arithmetic expression, the general The integrated process design module obtains the information of the process through the input configuration information, and dynamically organizes and executes the process in combination with the fusion data.

Preferably, the generalized process design module decomposes the process into a plurality of process nodes, and classifies the process nodes to realize the configuration of the information of the process, and the generalized process design module obtains the input configuration information After that, the process is automatically organized to form a control process.

Preferably, when classifying the process nodes, according to the different execution constraints required by the process nodes, they are divided into instantaneous process nodes, non-instantaneous process nodes and interlocking process nodes, wherein the instantaneous process nodes refer to those that do not require constraints. Executable instructions, non-transient process nodes refer to instructions that require constraints or judgment conditions in the execution of the same process to be executed, and interlocked process nodes refer to instructions that require constraints or judgment conditions to be executed in different process executions.

Preferably, the generalized process design module performs real-time scheduling management of skip judgment conditions, execution judgment conditions and issued instructions for the instantaneous process nodes, and performs state judgment conditions and timeout judgment conditions for non-instantaneous process nodes. Real-time scheduling management, in which the state judgment conditions include instruction execution state and fault state. For interlocking process nodes, the interlocking between different processes of the same device and the process scheduling interlocking management in the process management container are dynamically performed.

Preferably, when executing the instantaneous process node, according to the skip judgment condition, the execution or skip of the instantaneous process node is realized, so as to avoid the repeated setting of the operation instruction, and according to the execution judgment condition, it is realized that the current process exits the execution when the operation instruction setting condition is not satisfied, When executing a non-transient process node, if there is a fault state, the timeout judgment condition and the judgment of the instruction execution state are no longer checked, and the current process is directly exited from execution to realize timeout judgment or fault judgment. The execution status of other process nodes locked. For multi-process nodes that cannot be executed in parallel, parallel judgment under multiple coupling factors is realized. At the same time, process logout is performed in real time during process execution, and faulty processes and abandoned processes are cleared, and special circumstances. If the process fails, the information will not be cleared and will wait for manual processing.

Preferably, the application layer further includes a general polynomial calculation module, the general polynomial calculation module is provided with concurrent execution and independent timer timing functions, and can be executed independently and concurrently for processes that do not have interlocking attributes.

Preferably, the application layer further includes a visual interface, including process node information visualization and execution state visualization.

Preferably, the application layer further includes a process control thread pool for process concurrent execution control and a process data thread pool for dynamically scheduling and managing processes.

Preferably, an intermediate layer is also included, and the intermediate layer records the operation information of the execution devices with redundant configuration.

Compared with the prior art, the present invention has the following advantages:

1. Add, delete, modify and query functions such as system composition, interface, communication protocol and process control can be completed by configuration without source code modification;

2. It can automatically parse and package different communication methods and protocol protocols such as Ethernet (UDP, TCP and DDS, etc.), CAN communication, serial communication, etc., and realize the decoupling of application software and various communication protocols;

3. Possess multi-process management capabilities, can manage and control multiple processes in a unified manner, and support flexible expansion of processes as needed;

4. Different processes can be set to concurrent execution and interlocked execution according to requirements;

5. Versatile, efficient and reliable, it is suitable for industrial scenarios with different execution equipment, communication methods, communication protocols, control characteristics and control requirements, and realizes efficient integration of different data sources and general process control.

Description of drawings

FIG. 1 is a schematic structural diagram of a general process control system for efficient fusion of multi-source data according to the present invention.

The parts in the figure are labeled as follows:

Driver layer 1, service layer 2, application layer 3, general polynomial analysis module 4, generalized process design module 5, general polynomial calculation module 6, visual interface 7, process control thread pool 8, process data thread pool 9.

Detailed ways

The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

As shown in FIG. 1, a general process control system for efficient multi-source data fusion of the present invention includes a driver layer 1, a service layer 2 and an application layer 3. The driver layer 1 collects multi-source data transmitted by each execution device, uploads To the service layer 2, the service layer 2 decouples the multi-source data, obtains the fusion data, realizes the automatic analysis of the communication data, and is used by the application layer 3 by means of subscription and publication.

Among them, the driver layer 1 realizes communication with the execution device, realizes the collection of multi-source heterogeneous data, each single-thread-driven communication module corresponds to a single communication mode, and uses a general message mechanism for communication between multiple threads, supporting serial port data. , CAN data and Ethernet data and other communication methods. The communication module contains a variety of communication functions, including Ethernet communication (TCP, UDP), serial port (RS232, RS485 and RS422, etc.), CAN bus (extended and standard), ZMQ and DDS, etc., and supports a variety of databases, Including SQLite database and real-time database Redis, etc.

At the same time, service layer 2 establishes general process interface and data interface (including comprehensive measurement point and native data measurement point interface), and stores configuration information such as general process and node in the form of SQLite database. The automatic analysis of communication data packets associates the processed communication data fields with comprehensive measurement points to realize multi-source data fusion business.

In addition, the service layer 2 is provided with multi-source data fusion services. Through the automatic analysis of communication data and the implementation of associating measurement points, publishing and subscribing in the form of a data dictionary, a data center for storing unified measurement points is established. The interface collects and writes metadata.

In this embodiment, the multi-source data includes execution device status data, inter-process data, and alarm data, covering structured data and unstructured data. Therefore, the service layer 2 provides interface development functions for different communication methods, according to business requirements. Perform data association and data storage for multi-source data, use different data processing methods for data of different communication methods, and use SQLite database for storage of system configuration items, system alarm data and data association relationships.

In this embodiment, the application layer 3 includes a general polynomial parsing module 4 and a generalized process design module 5. The general polynomial parsing module 4 adopts the SQL language format to parse the character string of the fusion data into a machine-recognized The operation formula can use a string to realize complex polynomial calculations, including mathematical operations such as addition, subtraction, multiplication, and division, as well as logical operations such as AND, OR, and NOT, which reduces the configuration workload and configuration complexity of general flow control. The generalized process design module 5 obtains the information of the process in it through the input configuration information, and dynamically organizes and executes the process in combination with the fusion data.

Wherein, the generalized process design module 5 decomposes the process into multiple process nodes, and classifies the process nodes to realize the configurability of the information of the process, and the generalized process design module 5 obtains the input configuration After information, the process is automatically organized to form a control process.

When classifying the process nodes, according to the different execution constraints required by the process nodes, they are divided into instantaneous process nodes, non-instantaneous process nodes and interlocking process nodes, wherein, instantaneous process nodes refer to those that can be executed without constraints. Instructions, non-instantaneous process nodes refer to instructions that require constraints or judgment conditions to be executed in the same process execution, and interlocking process nodes refer to instructions that require constraints or judgment conditions to be executed in different process executions.

The generalized process design module 5 performs real-time scheduling management of skip judgment conditions, execution judgment conditions and issued instructions for the instantaneous process nodes, and performs real-time scheduling of state judgment conditions and timeout judgment conditions for non-instantaneous process nodes. Management, in which the state judgment conditions include instruction execution state and fault state. For interlocking process nodes, the interlocking between different processes of the same device and the management of process scheduling interlocking in the process management container are dynamically performed.

When executing an instantaneous process node, according to the skip judgment condition, the execution or skip of the instantaneous process node is realized, avoiding the repeated setting of operation instructions, and according to the execution judgment condition, the current process exits execution when the operation instruction setting conditions are not satisfied, and the execution is not instantaneous. When a process node occurs, if there is a fault state, the timeout judgment condition and the judgment of the instruction execution state are no longer checked, and the current process is directly exited from execution to realize timeout judgment or fault judgment. The execution of process nodes, for multi-process nodes that cannot be executed in parallel, realize parallel judgment under multiple coupling factors. At the same time, process logout is performed in real time during process execution, and faulty processes and discarded processes are cleared. In special cases, trigger the same The subsequent process of the device and the process with the highest priority, if the process fails, the information will not be cleared and wait for manual processing.

In this embodiment, the application layer 3 further includes a general-purpose polynomial calculation module 6. The general-purpose polynomial calculation module 6 is provided with concurrent execution and independent timer timing functions, and can be executed independently and concurrently for processes that do not have interlocking attributes, improving the In order to improve the operating efficiency of the equipment, the general polynomial calculation can be performed in the SQL language format, which does not need to care about the data type, and can realize complex polynomial calculations at one time.

In this embodiment, the application layer 3 further includes a visual interface 7, including process node information visualization and execution status visualization, which is used to display information such as node overview of the control process, execution progress and execution status of each process, and intuitively display each process. It can also be used for fault analysis. The visualization of process node information includes transient process nodes, non-transient process nodes and interlocking nodes. The visualization of execution status includes executing, executing, Information visualization of execution failures, interlocks, stops, etc.

In this embodiment, the application layer 3 further includes a process control thread pool 8 used for concurrent execution control of processes and a process data thread pool 9 used for dynamic scheduling and management of processes.

In this embodiment, a middle layer is also included, and the middle layer records the operation information of the execution equipment with redundant configuration, which expands the application scenarios of the execution equipment, and completes the control of dual-machine/multi-machine equipment, Monitoring, status/log data recording, mainly including redundant device activation selection, redundant device activation, redundant device status monitoring, redundant device switching, non-redundant device communication and operation record storage, etc., to improve software reusability , reduce the development risk, reduce the development cycle, and improve the development efficiency.

In this embodiment, for the non-redundantly configured execution device, communication is performed directly, and for the redundantly configured execution device, it automatically communicates with the selected one; for the redundantly configured execution device, only one is running at the same time, and the middle The software determines that the earliest connected system is in the active state, and at the same time controls the other one in the dormant state; if the comprehensive state in the status data reported by the executing device in the active state is fault, the middleware automatically switches to the other one. then stop switching.

The general process control system of the multi-source data efficient fusion of the present invention can complete the addition, deletion, modification and query functions of the composition, interface, communication protocol and process control of the system in a configuration mode without the need for source code modification; Different communication methods and protocol protocols such as Ethernet (UDP, TCP, DDS, etc.), CAN communication, serial communication, etc. are automatically parsed and packaged to realize the decoupling of application software and various communication protocols; The process is managed and controlled in a unified manner, and the process can be flexibly expanded on demand; and different processes can be set to concurrent execution and interlocked execution according to requirements; the present invention is universal, efficient and reliable, and is suitable for different execution equipment, communication methods, communication protocols, and control characteristics It can realize efficient integration of different data sources and general process control.

Claims (10)

1. The utility model provides a general flow control system of high-efficient integration of multisource data which characterized in that: the system comprises a driving layer (1), a service layer (2) and an application layer (3), wherein the driving layer (1) collects multi-source data transmitted by each execution device and uploads the data to the service layer (2), the service layer (2) decouples the multi-source data to obtain fusion data, and the fusion data are supplied to the application layer (3) for use in a subscription and release mode.

2. The general flow control system for efficient fusion of multi-source data according to claim 1, wherein: the application layer (3) comprises a general polynomial analysis module (4) and a generalized flow design module (5), the general polynomial analysis module (4) adopts an SQL language format to analyze the character strings of the fusion data into operation formulas which can be identified by a machine, and the generalized flow design module (5) acquires the information of the flow in the general flow design module through the input configuration information, and dynamically organizes and executes the flow by combining the fusion data.

3. The general flow control system for efficient fusion of multi-source data according to claim 2, wherein: the general process design module (5) decomposes a process into a plurality of process nodes, classifies the process nodes, realizes the configuration of the information of the process, and automatically organizes the process after acquiring the input configuration information to form a control process.

4. The general flow control system for efficient fusion of multi-source data according to claim 3, wherein: when the process nodes are classified, the process nodes are divided into instantaneous process nodes, non-instantaneous process nodes and interlocking process nodes according to different execution constraints of the process nodes, wherein the instantaneous process nodes refer to instructions which can be executed without constraints, the non-instantaneous process nodes refer to instructions which can be executed only when constraints or judgment conditions are needed in the execution of the same process, and the interlocking process nodes refer to instructions which can be executed only when constraints or judgment conditions are needed in the execution of different processes.

5. The general flow control system for efficient fusion of multi-source data according to claim 4, wherein: the generalized flow design module (5) performs real-time scheduling management of skipping judgment conditions, executing judgment conditions and issuing instructions for the instantaneous flow nodes, performs real-time scheduling management of state judgment conditions and overtime judgment conditions for the non-instantaneous flow nodes, wherein the state judgment conditions comprise instruction execution states and fault states, and dynamically performs management of inter-flow interlocking of the same equipment and flow scheduling interlocking in a flow management container for the interlocking flow nodes.

6. The general flow control system for efficient fusion of multi-source data according to claim 5, wherein: when the instantaneous process node is executed, the execution or skipping of the instantaneous process node is realized according to the skipping judgment condition, the repeated setting of an operation instruction is avoided, when the operation instruction setting condition is not met, the current process exits the execution according to the execution judgment condition, when the non-instantaneous process node is executed, if a fault state occurs, the judgment of the overtime judgment condition and the instruction execution state is not checked, the current process directly exits the execution, the overtime judgment or the fault judgment is realized, when the interlocking process node is executed, the execution condition of other interlocked process nodes is judged in real time, the parallel judgment under the multi-coupling factor is realized for the multi-process node which cannot be executed in parallel, simultaneously, the process logout is carried out in real time in the process execution, the fault process and the abandoned process are eliminated, and the subsequent process and the process with the highest priority of the same equipment are triggered under special conditions, if the flow execution fails, the information is not cleared, and manual processing is waited.

7. The general flow control system for efficient fusion of multi-source data according to claim 1, wherein: the application layer (4) further comprises a general polynomial calculation module (6), the general polynomial calculation module (6) is provided with concurrent execution and independent timer timing functions, and processes without mutual interlocking attributes can be executed independently and concurrently.

8. The general flow control system for efficient fusion of multi-source data according to claim 1, wherein: the application layer (4) further comprises a visual interface (7) comprising process node information visualization and execution state visualization.

9. The general flow control system for efficient fusion of multi-source data according to claim 1, wherein: the application layer (4) also comprises a flow control thread pool (8) for flow concurrent execution control and a flow data thread pool (9) for dynamically scheduling and managing flows.

10. The general flow control system for efficient fusion of multi-source data according to claim 1, wherein: the system also comprises an intermediate layer, and the intermediate layer records the operation information of the execution equipment with redundant configuration.

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