CN114296417B - General flow control system for efficient fusion of multi-source data - Google Patents
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Abstract
The invention relates to the technical field of automatic control system reliability, and discloses a general process control system for efficient fusion of multi-source data. The general flow control method and the system for the efficient fusion of the multi-source data have the advantages of universality, high efficiency and reliability, are suitable for industrial scenes with different execution devices, communication modes, communication protocols, control characteristics and control requirements, and realize the efficient fusion and general flow control of different data sources.
Description
Technical Field
The invention relates to the technical field of automatic control system reliability, in particular to a general flow control system for efficient fusion of multi-source data.
Background
The automatic control system is widely applied in industrial production, and the traditional industrial control system needs to be designed one-to-one according to application scenes, so that the problems of long development period, poor universality, lack of user customization and the like exist. Meanwhile, due to the lack of uniform development standards, automatic control programs designed by different software engineers have large differences and cannot be mutually universal.
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, application scenes become various, so that the development work of automatic control software becomes abnormal and heavy, and the risk of software bugs is increased. With the rapid development of automation technology and information technology, generalization and agile development become the development direction of automatic control system control software.
In the design of an actual industrial control system, the communication between the execution device and the controller includes serial port communication (RS 232, RS485, RS422, and the like), CAN bus, ethernet (TCP, UDP, MAC, DDS, and the like), and other communication modes, even if the communication protocol specifications are different in the same communication mode, each execution step has different control characteristics and control requirements.
Disclosure of Invention
The invention aims to provide a general flow control system for efficient fusion of multi-source data, which is universal, efficient and reliable, is suitable for industrial scenes with different execution devices, communication modes, communication protocols, control characteristics and control requirements, and realizes efficient fusion and general flow control of different data sources.
In order to achieve the purpose, the general process control system for efficient fusion of multi-source data comprises a driving layer, a service layer and an application layer, wherein the driving layer collects multi-source data transmitted by each execution device and uploads the multi-source data to the service layer, and the service layer decouples the multi-source data to obtain fused data which is used by the application layer in a subscription and release mode.
Preferably, the application layer includes a general polynomial analysis module and a general flow design module, the general polynomial analysis module adopts SQL language format to analyze the character string of the fused data into a machine-recognizable operation formula, and the general flow design module acquires the information of the flow therein through the input configuration information, and dynamically organizes and executes the flow by combining the fused data.
Preferably, the generalized process design module decomposes a process into a plurality of process nodes, classifies the process nodes, and implements the configuration of the information of the process, and after the generalized process design module acquires the input configuration information, the generalized process design module automatically organizes the process to form a control process.
Preferably, when the process nodes are classified, the process nodes are classified 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 that can be executed without constraints, the non-instantaneous process nodes refer to instructions that can be executed only when constraints or judgment conditions are required in the execution of the same process, and the interlocking process nodes refer to instructions that can be executed only when constraints or judgment conditions are required in the execution of different processes.
Preferably, the generalized process design module performs real-time scheduling management of skipping judgment conditions, executing judgment conditions and issuing instructions for the instantaneous process nodes, performs real-time scheduling management of state judgment conditions and overtime judgment conditions for the non-instantaneous process nodes, where the state judgment conditions include instruction execution states and fault states, and dynamically performs management of inter-process interlocks of the same equipment and process scheduling interlocks in the process management container for the interlocked process nodes.
Preferably, 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 the operation instruction is avoided, when the operation instruction setting condition is not satisfied, the current process exits 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 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, for the multi-process nodes which cannot be executed in parallel, the parallel judgment under the multi-coupling factor is realized, 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 of the same equipment and the process with the highest priority are triggered under special conditions, and if the flow execution fails, the information is not cleared, and manual processing is waited.
Preferably, the application layer further includes a general polynomial calculation module, and the general polynomial calculation module is provided with concurrent execution and independent timer timing functions, and can independently and concurrently execute processes without mutual interlocking attributes.
Preferably, the application layer further comprises a visual interface, including process node information visualization and execution state visualization.
Preferably, the application layer further comprises a flow control thread pool for flow concurrent execution control and a flow data thread pool for dynamically scheduling and managing flows.
Preferably, the system further comprises an intermediate layer, and the intermediate layer records the operation information of the execution equipment with redundant configuration.
Compared with the prior art, the invention has the following advantages:
1. under the condition of not needing source code modification, the functions of addition, deletion, modification and query of the composition, interface, communication protocol, flow control and the like of the system can be completed in a configuration mode;
2. different communication modes such as Ethernet (UDP, TCP, DDS and the like), CAN communication, serial port communication and the like and protocol protocols CAN be automatically analyzed and packaged, so that decoupling of application software and various communication protocols is realized;
3. the system has multi-process management capability, can uniformly manage and control multiple processes, and supports flexible expansion of the processes as required;
4. Different processes can be set as concurrent execution and interlocking execution according to requirements;
5. the method is universal, efficient and reliable, is suitable for industrial scenes with different execution devices, communication modes, communication protocols, control characteristics and control requirements, and realizes efficient fusion and general flow control of different data sources.
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FIG. 1 is a schematic structural diagram of a general process control system for multi-source data efficient fusion according to the present invention.
The components in the figures are numbered as follows:
the system comprises a driving layer 1, a service layer 2, an application layer 3, a general polynomial analysis module 4, a generalized flow design module 5, a general polynomial calculation module 6, a visual interface 7, a flow control thread pool 8 and a flow data thread pool 9.
Detailed Description
The invention is described in further detail below with reference to the figures and the specific embodiments.
As shown in fig. 1, the general process control system for efficient fusion of multi-source data of the present invention includes a driver layer 1, a service layer 2, and an application layer 3, where the driver layer 1 collects multi-source data transmitted by each execution device and uploads the multi-source data to the service layer 2, and the service layer 2 decouples the multi-source data to obtain fused data, so as to implement automatic analysis of communication data, and provide the fused data for the application layer 3 in a subscription and release manner.
The driver layer 1 is communicated with the execution equipment, multi-source heterogeneous data are collected, each single-thread-driven communication module corresponds to a single communication mode, multiple threads are communicated by adopting a universal message mechanism, and various communication modes such as serial port data, CAN data and Ethernet data are supported. The communication module comprises various communication functions, including Ethernet communication (TCP and UDP), serial ports (RS 232, RS485, RS422 and the like), a CAN bus (extension and standard), ZMQ, DDS and the like, and supports various databases including an SQLite database, a real-time database Redis and the like.
Meanwhile, the service layer 2 establishes a general flow interface and a data interface (including a comprehensive measuring point interface and a native data measuring point interface), stores configuration information such as general flows, nodes and the like in an SQLite database form, adopts an ZMQ message subscription and release mechanism for data communication in the system, realizes automatic analysis of a communication data packet, associates a processed communication data field with the comprehensive measuring point, and realizes multi-source data fusion service.
In addition, the service layer 2 is provided with a multi-source data fusion service, establishes a data center for storing uniform measuring points through an implementation mode of automatic analysis and associated measuring points of communication data, publishing and subscribing in a data dictionary form, and acquires and writes metadata into an internal data interface.
In this embodiment, the multi-source data includes execution device status data, interprocess data, and alarm data, and covers structured data and unstructured data, so that the service layer 2 provides an interface development function for different communication modes, performs data association and data storage on the multi-source data according to business requirements, uses different data processing modes for the data of different communication modes, and stores a system configuration item, system alarm data, and a data association relation using an SQLite database.
In this embodiment, the application layer 3 includes a general polynomial analysis module 4 and a general flow design module 5, where the general polynomial analysis module 4 adopts an SQL language format to analyze a character string of the fused data into a machine-recognizable operation formula, and can implement complex polynomial calculation with one character string, including mathematical operations such as addition, subtraction, multiplication, and division, and logical operations such as and/or and inequality, so as to reduce configuration workload and configuration complexity of general flow control, and the general flow design module 5 acquires information of a flow therein through input configuration information, and dynamically organizes and executes the flow by combining the fused data.
The generalized process design module 5 decomposes a process into a plurality of process nodes, classifies the process nodes, and implements the configuration of the information of the process, and the generalized process design module 5 automatically organizes the process after acquiring the input configuration information to form a control process.
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.
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 include 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 interlocked flow nodes.
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.
In this embodiment, the application layer 3 further includes a general polynomial calculation module 6, where the general polynomial calculation module 6 has concurrent execution and independent timer timing functions, and can perform independent concurrent execution on processes without mutual interlocking attributes, so as to improve the operation efficiency of the device.
In this embodiment, the application layer 3 further includes a visual interface 7, which includes process node information visualization and execution state visualization, and is used for controlling information display such as node overview of the process, execution progress and execution state of each process, visually displaying execution conditions of each process and redundant selection conditions when redundant configuration equipment exists, and also used for fault analysis, where the process node information visualization includes transient process nodes, non-transient process nodes, and interlocking nodes, and the execution state visualization includes information visualization such as execution, execution completion, execution failure, interlocking, and stop.
In this embodiment, the application layer 3 further includes a flow control thread pool 8 for flow concurrent execution control and a flow data thread pool 9 for dynamically scheduling and managing flows.
In the embodiment, the system further comprises an intermediate layer, the intermediate layer records operation information of the execution equipment with redundant configuration, expands application scenes of the execution equipment, and completes control, monitoring and state/log data recording of the dual-machine/multi-machine equipment through the middleware, and the intermediate layer mainly comprises redundant equipment activation selection, redundant equipment activation, redundant equipment state monitoring, redundant equipment switching, non-redundant equipment communication, operation record storage and the like, so that the reusability of software is improved, the development risk is reduced, the development period is shortened, and the development efficiency is improved.
In this embodiment, the non-redundant configuration execution device directly communicates with the redundant configuration execution device, and the redundant configuration execution device automatically communicates with the selected execution device; only one of the executing devices in redundant configuration is in operation at the same time, the middleware determines that the earliest connecting system is in an activated state, and controls the other one to be in a dormant state; if the integrated state in the state data reported by the execution equipment in the activated state is a fault, the middleware is automatically switched to another one, and if both the two pieces are in fault, the switching is stopped.
The general flow control system for efficient fusion of multi-source data can complete the functions of addition, deletion, modification and query of system composition, interface, communication protocol, flow control and the like in a configuration mode under the condition of not needing source code modification; different communication modes such as Ethernet (UDP, TCP, DDS and the like), CAN communication, serial port communication and the like and protocol protocols CAN be automatically analyzed and packaged, so that decoupling of application software and various communication protocols is realized; the system has multi-process management capability, can uniformly manage and control multiple processes, and supports flexible expansion of the processes as required; and different processes can be set as concurrent execution and interlocking execution according to requirements; the method is universal, efficient and reliable, is suitable for industrial scenes with different execution devices, communication modes, communication protocols, control characteristics and control requirements, and realizes efficient fusion and general flow control of different data sources.
Claims (5)
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 fused data, the fused data are used by the application layer (3) in a subscription and release mode, 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 and analyzes a character string of the fused data into a machine-recognizable operation expression, the generalized flow design module (5) acquires information of a flow therein through input configuration information and dynamically organizes and executes the flow by combining the fused data, and the generalized flow design module (5) decomposes the flow into a plurality of flow nodes, classifying the process nodes to realize the configuration of the information of the process, automatically organizing the process after the generalized process design module (5) acquires the input configuration information to form a control process, classifying the process nodes into an instant process node, a non-instant process node and an interlocking process node according to the difference of the execution constraints required by the process nodes, wherein the instant process node refers to an executable instruction without constraint, the non-instant process node refers to an instruction which can be executed only by the constraint or judgment condition required in the execution of the same process, the interlocking process node refers to an instruction which can be executed only by the constraint or judgment condition required in the execution of different processes, and the generalized process design module (5) carries out real-time scheduling management of skipping judgment condition, executing judgment condition and issuing instruction for the instant process nodes, for non-instantaneous process nodes, real-time scheduling management of state judgment conditions and overtime judgment conditions is carried out, wherein the state judgment conditions comprise an instruction execution state and a fault state, for interlocked process nodes, inter-process interlocking of the same equipment and process scheduling interlocking in a process management container are dynamically carried out, when the instantaneous process nodes are executed, execution or skipping of the instantaneous process nodes is realized according to the skipping judgment conditions, repeated setting of operation instructions is avoided, when the operation instruction setting conditions are not met, the current process exits execution, when the non-instantaneous process nodes are executed, if the fault state occurs, judgment of the overtime judgment conditions and the instruction execution state is not checked, the current process exits execution directly, overtime judgment or fault judgment is realized, when the interlocked process nodes are executed, the execution conditions of other interlocked process nodes are judged in real time, for multi-process nodes which cannot be executed in parallel, parallel judgment under multiple coupling factors is realized, meanwhile, process logout is carried out in real time in process execution, fault processes and abandoned processes are eliminated, follow-up processes and processes with the highest priority of the same equipment are triggered under special conditions, and if the process execution fails, information is not eliminated, and manual processing is waited.
2. The general flow control system for efficient fusion of multi-source data according to claim 1, wherein: the application layer (3) 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.
3. The general flow control system for efficient fusion of multi-source data according to claim 1, wherein: the application layer (3) further comprises a visual interface (7) comprising process node information visualization and execution state visualization.
4. The general flow control system for efficient fusion of multi-source data according to claim 1, wherein: the application layer (3) 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.
5. 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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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831513A (en) * | 2012-07-20 | 2012-12-19 | 大连理工大学 | Container logistics field oriented IoT (Internet of Things) application-layer middleware and information fusion integration method |
| CN104142649A (en) * | 2013-05-06 | 2014-11-12 | 北京北方微电子基地设备工艺研究中心有限责任公司 | PLC program design method and system |
| CN108082214A (en) * | 2016-11-22 | 2018-05-29 | 上海宝信软件股份有限公司 | Key operation emergency response system based on track traffic SCADA |
| CN112925767A (en) * | 2021-03-03 | 2021-06-08 | 浪潮云信息技术股份公司 | Multi-data-source dynamic data synchronization management method and system based on internet supervision |
| CN113359617A (en) * | 2021-06-11 | 2021-09-07 | 中山凯旋真空科技股份有限公司 | Process flow control method and control system |
| CN113394778A (en) * | 2021-07-08 | 2021-09-14 | 国网浙江省电力有限公司温州供电公司 | Configuration mode-based system-level debugging system and method for secondary equipment of transformer substation |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2016226172A1 (en) * | 2015-03-03 | 2017-10-26 | Soroco Private Limited | Software robots for programmatically controlling computer programs to perform tasks |
-
2022
- 2022-03-11 CN CN202210236928.4A patent/CN114296417B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831513A (en) * | 2012-07-20 | 2012-12-19 | 大连理工大学 | Container logistics field oriented IoT (Internet of Things) application-layer middleware and information fusion integration method |
| CN104142649A (en) * | 2013-05-06 | 2014-11-12 | 北京北方微电子基地设备工艺研究中心有限责任公司 | PLC program design method and system |
| CN108082214A (en) * | 2016-11-22 | 2018-05-29 | 上海宝信软件股份有限公司 | Key operation emergency response system based on track traffic SCADA |
| CN112925767A (en) * | 2021-03-03 | 2021-06-08 | 浪潮云信息技术股份公司 | Multi-data-source dynamic data synchronization management method and system based on internet supervision |
| CN113359617A (en) * | 2021-06-11 | 2021-09-07 | 中山凯旋真空科技股份有限公司 | Process flow control method and control system |
| CN113394778A (en) * | 2021-07-08 | 2021-09-14 | 国网浙江省电力有限公司温州供电公司 | Configuration mode-based system-level debugging system and method for secondary equipment of transformer substation |
Non-Patent Citations (1)
| Title |
|---|
| 作战指挥控制系统人机交互设计流程研究;刘岗等;《包装工程》;20200731;第41卷(第14期);第85-91页 * |
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