CN113985823B - Online monitoring method and system for network communication between process control stations of distributed control system - Google Patents
Online monitoring method and system for network communication between process control stations of distributed control system Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
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Abstract
The invention discloses a method and a system for online monitoring of network communication between process control stations of a distributed control system. A first digital quantity label point is newly added in a pair of process control stations and is set to run in the fastest execution period, and a second digital quantity label point is newly added in another pair of process control stations and is set to run in the fastest execution period; setting the input of the second digital quantity label point as the output of the first digital quantity label point, setting the input of the second digital quantity label point as the value of the output of the first digital quantity label point after the inverse operation, and setting the quality code of the output of the second digital quantity label point to be always good; and according to the current output value, the last period output value and the execution period of the second digital quantity label point, monitoring values such as network communication time consumption, maximum communication time consumption, communication timeout times and the like among the process control stations are calculated on line in real time, and an alarm is generated at the communication timeout. The invention does not need additional hardware equipment and software and complex programming realization.
Description
Technical Field
The invention relates to a method and a system for online monitoring of network communication between process control stations of a distributed control system, and belongs to the technical field of distributed control systems.
Background
Distributed control systems are widely used in a variety of industries including electricity, chemical, cement, marine and petroleum industries, many of which are infrastructure industries that are related to national lives, and the safety and reliability of their operation are becoming more and more important. Decentralized control systems typically consist of several parts, such as monitoring background, process control stations, networks and input-output modules. The monitoring background mainly completes the functions of relevant control algorithm configuration and downloading, monitoring picture configuration and operation, history data storage inquiry, alarm collection inquiry, operation data collection display, control instruction issuing and the like of the controlled technological process; the monitoring background is connected with the process control station through a redundant network. The process control station is the core and key point of the whole decentralized control system, all data acquisition, control algorithm realization, control instruction sending and control of the technological process are completed by the process control station, and whether the controlled technological process can safely and stably run is directly determined.
Process control stations are commonly used in pairs to increase reliability, and in one practical project there are multiple pairs of process control stations that together perform the control function of the process equipment, i.e., the complete control tasks are distributed among the multiple pairs of process control stations, so the control system is known as a decentralized control system and is characterized as "centralized monitoring, decentralized control". The switch is adopted by the plurality of pairs of process control stations to be connected with the monitoring background, the data of the process control stations are sent up, the instruction of the monitoring background is issued by the network communication mode, and in order to complete the control task, some data needs to be transmitted between the process control stations, the process control stations are also realized by the network communication mode, namely, the data in other process control stations are obtained by the network communication mode, so the network communication of the process control stations is particularly important. At present, a simple and easy-to-use online monitoring method for network communication between process control stations is lacking.
Disclosure of Invention
The invention aims to provide a simple and easy-to-use online monitoring method and system for network communication between process control stations of a distributed control system.
In order to achieve the above purpose, the invention adopts the following technical scheme:
in one aspect, the present invention provides a method for on-line monitoring of network communication between process control stations of a distributed control system, comprising:
setting a first digital quantity tag point in one pair of process control stations, setting a second digital quantity tag point in the other pair of process control stations, and setting the first digital quantity tag point and the second digital quantity tag point to run at a preset execution period;
taking the output value of the second digital quantity label point as the input of the first digital quantity label point, taking the value of the output of the first digital quantity label point after the inverting operation as the input of the second digital quantity label point, and enabling the output value of the second digital quantity label point to be always of good quality;
and calculating to obtain the time consumption, the maximum communication time consumption and the communication timeout times of the network communication between the process control stations according to the current output value, the last period output value and the execution period of the second digital quantity label point.
Further, according to the current output value, the last period output value and the execution period of the second digital quantity tag point, calculating to obtain time consumption, maximum communication time consumption and communication timeout times of the network communication between the process control stations, wherein the method specifically comprises the following steps:
determining the time consumption of communication according to whether the current output value of the second digital quantity label point is the same as the output value of the last period of the second digital quantity label point;
determining the maximum communication time consumption according to whether a count zero clearing signal exists or not;
and determining the communication timeout times according to whether a count zero clearing signal exists, whether the time consumption of the communication is overtime or not and whether the time consumption of the communication in the last period is not overtime.
Further, determining the time consuming communication according to whether the current output value of the second digital quantity tag point is the same as the previous period output value of the second digital quantity tag point, specifically includes:
responding to the fact that the current output value of the second digital quantity label point is different from the previous period output value, and clearing communication time;
and responding to the fact that the current output value of the second digital quantity label point is the same as the output value of the last period, wherein the communication time consumption is calculated by the last period and is added with the execution period.
Further, determining the maximum communication time consumption according to whether the count clear signal exists or not specifically includes:
responding to a counting zero clearing signal, wherein the communication timeout times are 0;
and responding to the zero-count zero-clearing signal, wherein the maximum communication time is the result of taking a large value from the maximum communication time obtained by calculation in the previous period and the communication time obtained by calculation in the current time.
Further, determining the communication timeout times according to whether a count zero clearing signal exists, whether the time consumption of the communication is timeout or not and whether the time consumption of the communication in the last period is not timeout or not, specifically includes:
responding to a counting zero clearing signal, wherein the communication timeout times are 0;
responding to the zero-count zero clearing signal, wherein the communication time is overtime and the communication time of the last period is not overtime, and the communication overtime number is the communication overtime number +1 calculated by the last period;
responding to the zero-count zero-clearing signal, and not meeting the time-consuming and overtime of the communication in the current period and not overtime of the communication in the last period, wherein the communication overtime number is the communication overtime number calculated in the last period.
Further, the first digital quantity tag point and the second digital quantity tag point are configured to run at a fastest execution cycle.
Further, the method for monitoring network communication between process control stations of the distributed control system on line further comprises the following steps:
and when the calculated communication time-consuming timeout meets the alarm condition, sending out an alarm signal.
In another aspect, the present invention provides an online monitoring system for network communication between process control stations of a distributed control system, comprising:
a first digital quantity tag point module provided in a pair of process control stations and configured to operate at a preset execution period, the input of which is an output value of the second digital quantity tag point module;
the inverting module is configured to invert the output value of the first digital quantity label point module;
the second digital quantity label point module is arranged in the other pair of process control stations and is set to run in the preset execution period, and the input of the second digital quantity label point module is the output value of the negation module;
a forced good quality module configured to always make the output value of the second digital quantity tag point module good quality;
the calculating module is configured to calculate the time consumption, the maximum communication time consumption and the communication timeout times of the network communication between the process control stations according to the current output value, the last period output value and the execution period of the second digital quantity label point module.
In another aspect, the invention provides a process control station of a decentralized control system, comprising a digital quantity label point module, an algorithm module, an input/output module, a network interface module and a processor; the digital quantity label point module, the algorithm module, the input and output module and the network interface module are all connected with the processor, and the algorithm module comprises a negation module, a forced quality module and a calculation module;
the digital quantity label point module is used for providing digital quantity label points, and the input of the digital quantity label points is the output value of the digital quantity label point module of another process control station;
the inverting module is used for inverting the output value of the digital quantity label point module;
the forced good quality module is used for enabling the output value of the digital quantity label point module to be always good in quality;
the calculation module is used for calculating the time consumption, the maximum communication time consumption and the communication timeout times of the network communication between the process control stations in real time on line according to the current output value, the last period output value and the execution period of the digital quantity label point module;
the input/output module is used for connecting equipment, collecting equipment analog quantity and switching value corresponding to a control task, sending the equipment analog quantity and switching value to the processor for control operation, and sending a control operation result to the equipment;
and the network interface module is used for being connected with the network switch, receiving the data packet sent by the monitoring background, sending feedback to the monitoring background and providing a communication function between the process control stations.
And the processor is used for performing control operation according to the acquired equipment analog quantity and the acquired switching value and is responsible for calculating and updating various module values.
Further, the process control station of the decentralized control system further comprises:
and the alarm module is used for sending an alarm signal when the calculated communication time-consuming timeout meets the alarm condition.
The invention achieves the beneficial technical effects that: the invention realizes the on-line monitoring of the network communication between the process control stations of the distributed control system, realizes the real-time on-line monitoring and overtime alarming of the network communication related data between the process control stations such as communication time consumption, maximum communication time consumption, communication overtime times and the like by adopting the built-in function of the distributed control system, does not need additional hardware equipment and software, does not need complex programming realization, provides real-time information of the network communication state between the process control stations for operators, and ensures the safe and stable operation of the controlled process.
Drawings
FIG. 1 is a block diagram of a conventional distributed control system;
FIG. 2 is a flowchart of an online monitoring method for network communication between process control stations of a distributed control system according to an embodiment of the present invention;
FIG. 3 is a block diagram illustrating the internal structure of a process control station according to an embodiment of the present invention;
FIG. 4 is a block diagram of an online monitoring system for network communication between process control stations of a distributed control system in accordance with an embodiment of the present invention;
FIG. 5 is an algorithm flow chart of the process control inter-station network communication on-line monitoring and computing module.
Description of the embodiments
The invention is further described below in connection with specific embodiments. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
As shown in FIG. 1, a decentralized control system includes a monitoring background and a process control station, the monitoring background and the process control station being connected by a network switch.
The monitoring background sends a data packet, mainly some read-write control instructions, to the process control station, receives data fed back by the process control station and displays the data to an operator.
In one practical implementation, a plurality of pairs of process control stations together perform the control function of the process equipment, i.e., the complete control tasks are distributed among the plurality of pairs of process control stations, so that the control system is called a distributed control system, and is characterized by "centralized monitoring, distributed control".
The multiple pairs of process control stations are connected with the monitoring background by adopting a network switch with redundant configuration, as shown in fig. 1, fig. 1 only shows two pairs of process control stations 1 and 2, the uploading of data of the process control stations is realized by a network communication mode, the issuing of instructions of the monitoring background is realized by the network communication mode, and in order to complete a control task, the process control stations need to transmit some data, which is realized by the network communication mode, namely, the data in other process control stations are obtained by the network communication mode, so the network communication of the process control stations is particularly important.
Based on this, in one embodiment, the present invention provides an online monitoring method for network communication between process control stations of a distributed control system. As shown in fig. 2, the method includes:
step 1, a first digital quantity label point is set in a pair of process control stations, a second digital quantity label point is set in another pair of process control stations, and the first digital quantity label point and the second digital quantity label point are set to run in a preset execution period;
the tag point is the most common module in the control station, similar to a variable (bool, float, int) in a programming language, where the digital quantity tag point corresponds to a bool-type variable for storing a bool variable, which takes a value of 0 or 1.
In a preferred embodiment, the first digital quantity label point and the second digital quantity label point are set to run at the fastest execution cycle.
Step 2, taking the output value of the second digital quantity label point as the input of the first digital quantity label point, taking the value of the output of the first digital quantity label point after the inverting operation as the input of the second digital quantity label point, and enabling the output value of the second digital quantity label point to be always of good quality;
and step 3, calculating to obtain the network communication related monitoring value between the process control stations, such as communication time consumption, maximum communication time consumption, communication overtime times and the like, according to the current output value, the last period output value and the execution period of the second digital quantity label point.
As shown in fig. 5, the calculation flow of step 3 is specifically as follows:
s1) starting a process control station 1 and a process control station 2, and clearing all counts;
s2) obtaining the current output value of the second digital quantity label point, comparing the current output value with the output value of the last period, clearing the communication time consumption if the current output value is different, and turning to the step S4, and turning to the step S3 if the current output value is the same;
s3) the communication time consumption is calculated when the communication time consumption is assigned to the last period, and the communication time consumption is added to the execution period of the process control station;
s4) checking whether a count zero clearing signal exists, if so, assigning 0 to the maximum communication time consumption, and turning to the step S6, and if not, turning to the step S5;
s5) assigning the maximum communication time to be the result of taking the maximum value between the maximum communication time and the current communication time obtained by calculation in the previous period;
s6) checking whether a count zero clearing signal exists, if so, assigning 0 to the communication timeout times, and turning to the step S9, and if not, turning to the step S7;
s7) checking whether the communication is overtime (namely the communication time is more than a preset threshold value), wherein the communication in the previous period is not overtime (namely the communication time is less than the preset threshold value), if not, assigning the communication overtime times to the communication overtime times calculated in the previous period, and turning to the step S9, and if so, turning to the step S8;
s8) assigning the communication timeout times to be the communication timeout times +1 calculated in the previous period;
s9) alarming and historical record processing is carried out according to the settings, such as the calculated communication time consumption, the maximum communication time consumption, the communication timeout times and the like;
s10) goes to S2 to start the calculation of the next cycle.
In a further embodiment, a method for online monitoring network communication between process control stations of a distributed control system further includes: and when the calculated communication time-consuming timeout meets the alarm condition, sending out an alarm signal.
In another embodiment, the present invention provides an online monitoring system for network communication between process control stations of a distributed control system, as shown in fig. 4, comprising: a first digital quantity tag point module 11, an inverting module 12, a second digital quantity tag point module 21, a forced quality module 13 and a calculating module 22.
A first digital quantity tag point module 11 provided in the pair of process control stations 1 and configured to operate at a preset execution period, the input of which is the output value of the second digital quantity tag point 21;
the inverting module 12 is configured to perform inverting operation on the output value of the first digital quantity tag point module 11;
a second digital quantity tag point module 21 provided in the other pair of process control stations 2 and configured to operate at a preset execution period, the input of which is the output value of the inverting module;
a forced good quality module 13 configured to make the output value of the second digital quantity tag point module 21 always good quality;
the calculating module 22 is configured to calculate the time consumption of network communication between the process control stations, the maximum time consumption of communication, the time-out number of communication, and the like according to the current output value, the last period output value, and the execution period of the second digital quantity tag point module 21.
In an embodiment, as shown in fig. 4, the input end of the first digital quantity tag point module 11 is connected to the output end of the second digital quantity tag point 21, the output end of the first digital quantity tag point module 11 is sequentially connected to the input ends of the inverting module 12, the forced quality module 13 and the second digital quantity tag point module 21, and the output end of the second digital quantity tag point module 21 is further connected to the calculating module 22.
In other embodiments, the input end of the first digital quantity tag point module 11 is connected to the output end of the second digital quantity tag point 21, the output end of the first digital quantity tag point module 11 is connected to the inverting module 12, the inverting module 12 is connected to the input end of the second digital quantity tag point module 21, the output end of the second digital quantity tag point module 21 is connected to the forced good quality module 13, and the forced good quality module 13 is connected to the calculating module 22. In a preferred embodiment, the on-line monitoring system may further include an alarm module 24 coupled to the computing module 22. The alarm module 24 is configured to issue an alarm signal when the calculated communication elapsed time timeout satisfies an alarm condition.
In a preferred embodiment, the on-line monitoring system may further comprise a storage module configured to store and record historical data generated during the on-line monitoring process.
The two pairs of process control stations 1 and 2 respectively establish a first digital quantity label point module 11 and a second digital quantity label point module 21 and are mutually referenced through a network, a reverse module is connected in series in the middle, so that the second digital quantity label point 21 in the process control station 2 is overturned after each communication is finished, the output value of the second digital quantity label point module 21 is always good in quality through a forced quality module 13, the value is sent to a calculation module 22, a required monitoring value is calculated, and an alarm and history record function is provided according to configuration.
According to the embodiment, the on-line monitoring of the network communication between the process control stations of the distributed control system is realized, the real-time on-line monitoring and overtime alarming of the network communication related data between the process control stations such as communication time consumption, maximum communication time consumption, communication overtime times and the like are realized by adopting the built-in function of the distributed control system, no additional hardware equipment and software are needed, complex programming realization is not needed, real-time information of the network communication state between the process control stations is provided for operators, and safe and stable operation of the controlled process is ensured.
In another embodiment, a process control station of a decentralized control system, as shown in FIG. 3, includes a digital quantity tag point module, an algorithm module, an alarm module, an input/output module, a network interface module, a processor, a power module, and the like. The digital quantity label point module, the algorithm module, the alarm module, the network interface module and the input/output module are all connected with the processor. The algorithm module comprises an inversion module, a forced quality module and a calculation module.
And the power supply module is used for supplying power to all the power utilization components and providing power sources with various voltage levels.
The digital quantity label point module provides a data source and a data receiving function for online monitoring of network communication, and one digital quantity label point is usually arranged in each of two pairs of process main stations.
The inverting module is used for inverting the output value of the digital quantity label point module;
the forced good quality module is used for enabling the output value of the digital quantity label point module to be always good in quality;
the calculation module is used for calculating monitoring values such as network communication time consumption, maximum communication time consumption, communication timeout times and the like among the process control stations in real time on line according to the current output value, the last period output value and the execution period of the digital quantity label point module; in addition, it also provides a reset zero function.
And the alarm module is used for sending an alarm signal when the calculated communication time-consuming timeout meets the alarm condition.
The network interface module is connected with the network switch and is used for receiving and transmitting data packets through two network interfaces which are standby, namely receiving the data packets transmitted by the monitoring background and feeding back the data packets to the monitoring background; the interface module also provides communication functionality between a plurality of process control stations.
The input and output module is connected with the equipment, acquires the equipment analog quantity and the switching value corresponding to the control task, sends the equipment analog quantity and the switching value to the processor for control operation, and sends the result of the control operation to the equipment to complete equipment control.
The processor is a calculation engine of the process control station and is responsible for calculating and updating various module values.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention has been disclosed in the preferred embodiments, but the invention is not limited thereto, and the technical solutions obtained by adopting equivalent substitution or equivalent transformation fall within the protection scope of the present invention.
Claims (9)
1. An online monitoring method for network communication between process control stations of a distributed control system is characterized by comprising the following steps:
setting a first digital quantity tag point in one pair of process control stations, setting a second digital quantity tag point in the other pair of process control stations, and setting the first digital quantity tag point and the second digital quantity tag point to run at a preset execution period;
taking the output value of the second digital quantity label point as the input of the first digital quantity label point, taking the value of the output of the first digital quantity label point after the inverting operation as the input of the second digital quantity label point, and enabling the output value of the second digital quantity label point to be always of good quality;
according to the current output value, the last period output value and the execution period of the second digital quantity label point, calculating to obtain the time consumption, the maximum communication time consumption and the communication timeout times of the network communication between the process control stations;
the method comprises the steps of calculating to obtain time consumption, maximum communication time consumption and communication timeout times of the network communication among process control stations according to the current output value, the last period output value and the execution period of a second digital quantity label point, and specifically comprises the following steps:
determining the time consumption of communication according to whether the current output value of the second digital quantity label point is the same as the output value of the last period of the second digital quantity label point;
determining the maximum communication time consumption according to whether a count zero clearing signal exists or not;
and determining the communication timeout times according to whether a count zero clearing signal exists, whether the time consumption of the communication is overtime or not and whether the time consumption of the communication in the last period is not overtime.
2. The method for online monitoring of network communication between process control stations of a distributed control system according to claim 1, wherein determining the time consumption of communication according to whether the current output value of the second digital quantity tag point is the same as the previous period output value thereof comprises:
responding to the fact that the current output value of the second digital quantity label point is different from the previous period output value, and clearing communication time;
and responding to the fact that the current output value of the second digital quantity label point is the same as the output value of the last period, wherein the communication time consumption is calculated by the last period and is added with the execution period.
3. The method for online monitoring of network communication between process control stations of a distributed control system according to claim 1, wherein determining the maximum communication time consumption according to whether there is a count clear signal comprises:
responding to a counting zero clearing signal, wherein the communication timeout times are 0;
and responding to the zero-count zero-clearing signal, wherein the maximum communication time is the result of taking a large value from the maximum communication time obtained by calculation in the previous period and the communication time obtained by calculation in the current time.
4. The method for online monitoring of network communication between process control stations of a distributed control system according to claim 1, wherein the determining the number of times of communication timeout according to whether there is a count clear signal, whether the time-consuming of the communication is timeout and the time-consuming of the communication in the last period is not timeout comprises:
responding to a counting zero clearing signal, wherein the communication timeout times are 0;
responding to the zero-count zero clearing signal, wherein the communication time is overtime and the communication time of the last period is not overtime, and the communication overtime number is the communication overtime number +1 calculated by the last period;
responding to the zero-count zero-clearing signal, and not meeting the time-consuming and overtime of the communication in the current period and not overtime of the communication in the last period, wherein the communication overtime number is the communication overtime number calculated in the last period.
5. The method of claim 1, wherein the first digital quantity tag point and the second digital quantity tag point are configured to operate at a fastest execution cycle.
6. The method for on-line monitoring of network communication between process control stations of a distributed control system of claim 1, further comprising:
and when the calculated communication time-consuming timeout meets the alarm condition, sending out an alarm signal.
7. An on-line monitoring system for network communication between process control stations of a distributed control system, comprising:
a first digital quantity tag point module provided in a pair of process control stations and configured to operate at a preset execution period, the input of which is an output value of the second digital quantity tag point module;
the inverting module is configured to invert the output value of the first digital quantity label point module;
the second digital quantity label point module is arranged in the other pair of process control stations and is set to run in the preset execution period, and the input of the second digital quantity label point module is the output value of the negation module;
a forced good quality module configured to always make the output value of the second digital quantity tag point module good quality;
the calculating module is configured to calculate the time consumption, the maximum communication time consumption and the communication timeout times of the network communication between the process control stations according to the current output value, the last period output value and the execution period of the second digital quantity label point module;
the calculating process control station network communication time consumption, maximum communication time consumption and communication timeout times according to the current output value, the last period output value and the execution period of the second digital quantity tag point module specifically comprises the following steps:
determining the time consumption of communication according to whether the current output value of the second digital quantity label point module is the same as the previous period output value;
determining the maximum communication time consumption according to whether a count zero clearing signal exists or not;
and determining the communication timeout times according to whether a count zero clearing signal exists, whether the time consumption of the communication is overtime or not and whether the time consumption of the communication in the last period is not overtime.
8. The process control station of the decentralized control system is characterized by comprising a digital quantity label point module, an algorithm module, an input/output module, a network interface module and a processor; the digital quantity label point module, the algorithm module, the input and output module and the network interface module are all connected with the processor, and the algorithm module comprises a negation module, a forced quality module and a calculation module;
the digital quantity label point module is used for providing digital quantity label points, and the input of the digital quantity label points is the output value of the digital quantity label point module of another process control station;
the inverting module is used for inverting the output value of the digital quantity label point module;
the forced good quality module is used for enabling the output value of the digital quantity label point module to be always good in quality;
the calculation module is used for calculating the time consumption, the maximum communication time consumption and the communication timeout times of the network communication between the process control stations in real time on line according to the current output value, the last period output value and the execution period of the digital quantity label point module;
the input/output module is used for connecting equipment, collecting equipment analog quantity and switching value corresponding to a control task, sending the equipment analog quantity and switching value to the processor for control operation, and sending a control operation result to the equipment;
the network interface module is used for being connected with the network switch, receiving the data packet sent by the monitoring background, sending feedback to the monitoring background and providing a communication function between the process control stations;
the processor is used for performing control operation according to the acquired equipment analog quantity and switching value and is responsible for calculating and updating various module values;
the method comprises the steps of calculating the time consumption, the maximum communication time consumption and the communication timeout times of the network communication among the process control stations in an online real-time manner according to the current output value, the last period output value and the execution period of the digital quantity tag point module, wherein the time consumption, the maximum communication time consumption and the communication timeout times of the network communication among the process control stations specifically comprise the following steps:
determining the time consumption of communication according to whether the current output value of the digital quantity label point module is the same as the previous period output value;
determining the maximum communication time consumption according to whether a count zero clearing signal exists or not;
and determining the communication timeout times according to whether a count zero clearing signal exists, whether the time consumption of the communication is overtime or not and whether the time consumption of the communication in the last period is not overtime.
9. The decentralized control system process control station according to claim 8, further comprising:
and the alarm module is used for sending an alarm signal when the calculated communication time-consuming timeout meets the alarm condition.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102819252A (en) * | 2012-08-13 | 2012-12-12 | 国电南京自动化股份有限公司 | Method for realizing multi-redundancy of process control station in distributed control system |
| CN102866690A (en) * | 2012-09-18 | 2013-01-09 | 南京国电南自美卓控制系统有限公司 | Redundancy switching method among redundancy process control stations in distributed control system |
| JP2013153267A (en) * | 2012-01-24 | 2013-08-08 | Yokogawa Electric Corp | Process control system |
| CN111142480A (en) * | 2019-12-09 | 2020-05-12 | 南京国电南自维美德自动化有限公司 | Safety communication method and system for process control station and distributed control system |
| CN113311728A (en) * | 2021-05-25 | 2021-08-27 | 南京国电南自维美德自动化有限公司 | Method and system for communication between simulation model and controller |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100595984B1 (en) * | 2004-04-12 | 2006-07-03 | 한국전력공사 | Transceiver Frame Structure for Control Communication Network of Distributed Control System |
| US10838413B2 (en) * | 2017-10-02 | 2020-11-17 | Fisher-Rosemount Systems, Inc. | Systems and methods for multi-site performance monitoring of process control systems |
-
2021
- 2021-09-16 CN CN202111086208.6A patent/CN113985823B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013153267A (en) * | 2012-01-24 | 2013-08-08 | Yokogawa Electric Corp | Process control system |
| CN102819252A (en) * | 2012-08-13 | 2012-12-12 | 国电南京自动化股份有限公司 | Method for realizing multi-redundancy of process control station in distributed control system |
| CN102866690A (en) * | 2012-09-18 | 2013-01-09 | 南京国电南自美卓控制系统有限公司 | Redundancy switching method among redundancy process control stations in distributed control system |
| CN111142480A (en) * | 2019-12-09 | 2020-05-12 | 南京国电南自维美德自动化有限公司 | Safety communication method and system for process control station and distributed control system |
| CN113311728A (en) * | 2021-05-25 | 2021-08-27 | 南京国电南自维美德自动化有限公司 | Method and system for communication between simulation model and controller |
Non-Patent Citations (1)
| Title |
|---|
| 王立尚 ; .横河DCS控制系统站间通讯技术在破乳剂生产过程中的应用.天津化工.2020,(01),全文. * |
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