CN109901536B - One-way isolated data acquisition and offline algorithm verification system - Google Patents

One-way isolated data acquisition and offline algorithm verification system Download PDF

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CN109901536B
CN109901536B CN201910158802.8A CN201910158802A CN109901536B CN 109901536 B CN109901536 B CN 109901536B CN 201910158802 A CN201910158802 A CN 201910158802A CN 109901536 B CN109901536 B CN 109901536B
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algorithm
extranet
intranet
data
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CN109901536A (en
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汤健
乔俊飞
夏恒
郭子豪
何海军
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Beijing University of Technology
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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], computer integrated manufacturing [CIM]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention discloses a unidirectional isolated data acquisition and offline algorithm verification system; establishing an intranet data transfer machine by using DCS manufacturer OPC software; an intranet isolation transmitter provided with an optical gate unidirectional transmitting device is adopted to acquire key process variables and generate a data acquisition configuration file in an intranet data transfer mode based on a universal intranet OPC client; an 'outer network isolation receiver' provided with an optical gate unidirectional receiving device is adopted to receive key process data and configuration files from an 'inner network isolation transmitter' in a unidirectional optical fiber mode, and a forwarding service of key process variables is provided based on a universal outer network OPC server which accords with an industrial standard; adopting a customized extranet OPC client conforming to an industrial standard to realize the functions of acquiring and storing key process variables on an extranet data storage machine; the verification of modeling, controlling and optimizing the advanced algorithm of the MSWI process is realized by comparing the output of the customized algorithm verification module with the actual output of an industrial field on an external network algorithm verification machine.

Description

One-way isolated data acquisition and offline algorithm verification system
The invention is funded by national key research and development plan (No:2018YFC1900801) and national natural science fund (No:61573364, 61873009) of the department of science and technology.
Technical Field
The invention belongs to the technical field of urban solid waste treatment, and particularly relates to a one-way isolation data acquisition and offline algorithm verification system for an urban solid waste incineration process.
Background
The quantity of urban solid wastes (MSW) has reached 8% of global annual growth rate [1,2] along with the increase of urban population and the increase of the consumption level of residents, and partial cities in China even have a phenomenon of 'refuse surrounding'. MSW incineration (MSWI) is a widely used domestic waste treatment technology worldwide [3] at present. Aiming at China continent, the advantages of MSWI in the aspects of harmless treatment, reduction and resource treatment are shown as follows: 79.2 percent of volume reduction rate, 100 percent of stability rate, 124.3kg-CO2Eq/t of greenhouse gas reduction, 1163.1MJ/t of electric power generation and the like [4 ]. In 2017, the treatment capacity of 303 incinerating power plants (220 seats of grate furnaces) which are built and operated in China reaches 30.4 ten thousand tons/day and accounts for 34% of the total amount of MSW [5], and the daily treatment capacity of MSW in continental China is expected to reach 50 ten thousand tons [6] in 2020. Therefore, the installation type of the incinerator in China is mainly a grate furnace, and the number of the incinerators is gradually increased year by year.
China has the characteristics of high organic components (60-70%) and high moisture content (more than 50%), and the classification collection and treatment degree is low [4 ]. Compared with developed countries such as Germany, Sweden and Japan, the developing countries have a plurality of problems to be solved in the aspects of recovery mechanism, treatment technology, management strategy and the like [7], wherein the most prominent problem is that the pollutant emission is overproof [8,9 ]. Document [6] states that the main reason why MSWI is regulated in continental china is substandard smoke emission, which includes: special garbage components, lack of operation experience, low capital, unreliable supervision and measurement measures and the like. The document [10] indicates that the MSWI in China is mainly used for preventing secondary pollution caused by smoke emission, and the emphasis on researching the 'localization' advanced incineration technology suitable for MSW characteristics in China is in urgent need at present. As a power plant, MSWI enterprises have higher requirements on the safety and reliability of an incineration control system, and are very careful to access a third-party data acquisition system. In addition, Distributed Control Systems (DCS) and incineration control strategies employed by different incineration enterprises are also highly diverse. The above problems lead to difficulty in acquiring the process variables of the MSWI system in real time for different types of control systems, difficulty in verifying and researching advanced algorithms such as modeling, control and optimization of the MSWI process of off-line research of scientific research institutions and difficulty in effectively supporting the local advanced incineration technology of MSW suitable for China. Therefore, on the premise of not influencing the safety of the MSWI process DCS control system, the method is a problem which is urgently needed to be solved at present, and is used for collecting the process variables of the MSWI system in real time and effectively verifying the algorithms of modeling, control, optimization and the like of the MSWI process researched off line.
An industrial control network is oriented, a document [11] constructs a gas power plant real-time monitoring information system (SIS), a detailed design scheme is provided in key links such as a network architecture, a database platform, a data communication system, an application function, system safety measures and the like, a scheme of acquiring real-time data of a control system by adopting an SIS interface machine based on a unidirectional network gate is provided, a transmission scheme of data from the control network to the SIS network is ensured, and the problems of customized acquisition and storage of process data, offline algorithm verification and the like are not considered; document [12] proposes a unidirectional transmission safety isolation gatekeeper for an industrial control network, which includes an internal network processing unit, a data ferrying unit, an external network processing external unit, and the like, but has the defects that the front-end and back-end functions of the isolation gatekeeper in specific engineering application are not considered, and an optical fiber module with absolute physical unidirectional transmission characteristics is not adopted, and the like; document [13] indicates that an isolation network gate with data unidirectional transmission characteristics can completely isolate network threats from the outside of an industrial control system, document [14] isolates threats from an external network by arranging a data isolation region and protecting a DCS (distributed control system) of Ordos coal oil separation company by adopting a unidirectional isolation network gate technology, document [15] proposes a data transmission link device of a remote online diagnosis system of a combustion engine, which consists of a unidirectional isolation network gate, a transit server and a router, and the research has the problems of poor universality, no extended application of collected data and the like.
As can be seen from the above studies, no relevant studies have been reported for the MSWI process. The researches provide effective support for MSWI-oriented unidirectional isolated data acquisition and off-line algorithm verification system research.
Disclosure of Invention
In summary, an MSWI-oriented unidirectional isolated data acquisition and offline algorithm verification method is provided herein. Firstly, establishing an intranet data transfer machine by using DCS factory OPC software with strong compatibility with a DCS adopted by an MSWI enterprise, so that the intranet data transfer machine can provide key process variables related to research of advanced algorithms such as MSWI process modeling, control and optimization in an OPC server mode; then, an intranet isolation transmitter provided with an optical gate unidirectional transmitting device is adopted to collect the key process variables and generate a data collection configuration file in an intranet data transfer machine based on a general intranet OPC client, and the operations are independently performed on the intranet isolation transmitter to ensure the safety of an intranet; secondly, receiving key process data and configuration files from an intranet isolation transmitter in a unidirectional optical fiber mode by adopting an 'extranet isolation receiver' provided with an optical gate unidirectional receiving device, and providing forwarding services of the key process variables based on a universal extranet OPC server conforming to an industrial standard; furthermore, a customized extranet OPC client conforming to the industrial standard is adopted to realize the functions of acquiring and storing key process data on an extranet data storage machine, so as to provide support for offline data analysis and algorithm research; finally, on the 'external network algorithm verification machine', the verification of advanced algorithms such as modeling, control and optimization of the MSWI process is realized by comparing the output of the customized algorithm verification module with the actual output of an industrial field.
In order to achieve the purpose, the invention adopts the following technical scheme:
a system for verifying isolated data collection and offline algorithms comprising: the system comprises an intranet data transfer machine, an intranet isolation transmitter, an extranet isolation receiver, an extranet data storage machine and an extranet algorithm verifier; the DCS for carrying out MSWI process control is called an 'MSWI control system inner network side', a data acquisition end which is corresponding to the DCS and is isolated by unidirectional optical fibers is called an 'MSWI control system outer network side', and the inner network side and the outer network side of the MSWI control system realize absolute physically isolated data transmission through the unidirectional optical fibers; wherein the content of the first and second substances,
the data acquisition process at the intranet side comprises the following steps: acquiring process variables in different DCS controllers on a controller variable acquisition OPC server communicated with a DCS factory controller through a DCS factory internal network OPC client, providing forwarding service through the DCS factory internal network OPC server, and further transmitting a data acquisition configuration file and a data file containing the process variables to an optical gate one-way transmitting device through a universal internal network OPC client;
the data acquisition process at the external network side comprises the following steps: based on the optical gate unidirectional receiving device, the data acquisition configuration file and the data file from the intranet side of the MSWI control system are acquired through the unidirectional optical fiber, the process variables from the intranet are provided with forwarding service in the form of an OPC server through a universal extranet OPC server, further, the process variables are subjected to data acquisition and storage through a customized extranet OPC client, algorithm output obtained through a customized algorithm verification module is compared with field actual output, and then the algorithm is verified.
Drawings
FIG. 1 is a schematic view of a grate-based municipal solid waste incineration process (MSWI) process;
FIG. 2 is a schematic structural diagram of a MSWI-oriented unidirectional isolated data acquisition and offline algorithm verification system;
FIG. 3 is a hardware connection diagram of the MSWI-oriented unidirectional isolated data acquisition and offline algorithm verification system.
Detailed Description
The MWSI process comprises the stages of solid waste storage and transportation, furnace incineration, steam power generation, flue gas treatment and the like, wherein: the incinerator is a core device for converting MSW into ash, smoke and heat, and a grate at the bottom of the incinerator enables the MSW to move in the combustion chamber and enable the MSW to be effectively and fully combusted; steam generated by the waste heat boiler is used for generating electricity; part of the pollutants in the flue gas are removed before being discharged to the atmosphere. The MSWI process flow based on the grate furnace introduced by a certain enterprise in China is shown in figure 1.
As shown in fig. 1, the MSW is collected by a dedicated transport vehicle, transported to a dump plant, and dumped into a sealed solid waste pool. The solid waste in the pool is automatically grabbed by a manually controlled hydraulic grab bucket and put into a feed hopper of the incinerator, and the solid waste in the bucket is pushed to the grate furnace by a hydraulic feeder. The solid waste is sequentially dried, ignited, burned and burnt out in the incinerator (the burning of the solid waste on the grate is a slow process [16 ]]) Wherein: and in the drying stage, the MSW is preheated and roasted to realize dehydration and temperature rise, the heat for burning the MSW comes from heat radiation above the incinerator, flue gas convection and self heat energy inside a solid waste layer, and the burnt residue falls into a water-cooled slag hopper and is pushed into a slag pool by a slag conveyor. Generally, the temperature of incineration flue gas in a hearth needs to be more than 850 ℃, and the retention time needs to be at least 2 seconds, so as to ensure that the main pollutant dioxin in the MSWI process with the characteristics of high toxicity, durability and the like is effectively decomposed. The waste heat boiler generates high-pressure steam to drive the steam turbine set to generate electricity. The flue gas to be treated at the outlet of the boiler enters a deacidification reactor for neutralization reaction, and acid gas and dioxin and heavy metal absorbed in the flue gas are removed by lime and activated carbon added at the inlet of the deacidification reactor (the flue gas treatment time is about 40 seconds), wherein: the fly ash enters a fly ash storage bin, and the flue gas enters a bag-type dust collector. Flue gas bag-type dust removalAfter being treated by removing smoke particulate matters, neutralizing reactants, adsorbing active carbon and the like, the reactor is divided into 3 parts, wherein: tail fly ash enters an ash bin and is then conveyed away for harmless treatment, partial ash mixture enters a deacidification reactor again after being added with water in a mixer, tail flue gas is discharged into the atmosphere through a chimney by an induced draft fan, and the discharged tail gas contains HCL and SO2NOx, HF, DXN, and the like.
At present, the MSWI process basically adopts the '3T 1E' criterion, namely ensuring the temperature (T) in the furnace above 850 ℃, ensuring the time (T) staying in the furnace for more than 2 seconds, ensuring the turbulence (T) of the mixing degree of solid waste and air, and ensuring the excess (E) air coefficient of the ratio of the quality of the supply air of the solid waste in the unit quality of combustion to the theoretical air quality, and the control means mainly comprises primary air quantity, secondary air quantity, feeding speed and grate speed.
In the field of solid waste incineration in China, control systems of different incineration enterprises have strong sealing property, and different types of control systems have great difference. In addition, the advanced automatic combustion system introduced abroad is difficult to adapt to the MSW characteristics of China, and the industrial site is mostly operated for a long time by field experts based on experience by adopting a manual control mode, so that the continuous operation of the MSWI process is maintained by adopting a multi-shift system due to the limitation of energy of operators. It can be seen that the experience knowledge and incineration mechanism of domain experts are hidden in the massive process data stored in the DCS system in seconds, and the operational experience and mode of the domain experts are different, which also causes instability of the MSWI process operation control. Therefore, it is necessary to perform real-time acquisition and off-line analysis on massive process data containing empirical knowledge and incineration mechanism, extract the operation mode of experts in the top-level field, and perform the research on the optimization control algorithm of the MSWI process by combining with the interpretable artificial intelligence algorithm, thereby ensuring that the incineration system can operate in the optimal equilibrium state of economic indexes and environmental protection indexes.
The biggest problems existing at present are that: the safety requirement of the operation of the incineration power plant and the current situation of the closure of the DCS control system lead that the massive process data of the MSWI process are difficult to obtain in real time, and the advanced algorithms such as modeling, control and optimization of the newly developed MSWI process are difficult to verify on line. Therefore, under the condition that the normal operation of the original MSWI process DCS system is not influenced, the isolation mode is adopted to collect the process variables in real time, the collected process variables can be subjected to customized storage, and advanced algorithms such as modeling, control and optimization of off-line research and development can be subjected to functions such as online verification by utilizing real-time data.
The invention provides a MSWI-oriented unidirectional isolation data acquisition and offline algorithm verification system, which comprises: the intranet data transfer machine, the intranet isolation transmitter, the extranet isolation receiver, the extranet data storage machine and the extranet algorithm verifier are 5 modules, as shown in fig. 2.
As shown in fig. 2, in the present invention, the DCS system performing MSWI process control is referred to as "MSWI control system intranet side", and the corresponding data acquisition end isolated by the unidirectional optical fiber is referred to as "MSWI control system extranet side".
The data acquisition process at the intranet side comprises the following steps: the method comprises the steps that process variables in different DCS controllers are collected from a controller variable collection OPC server communicated with the DCS factory controllers through a DCS factory internal network OPC client, the process variables are provided with forwarding services through the DCS factory internal network OPC server, and further data collection configuration files and data files containing the process variables are transmitted to an optical gate one-way transmitting device through a universal internal network OPC client.
The data acquisition process at the external network side comprises the following steps: the optical gate one-way receiving device acquires data acquisition configuration files and data files from the intranet side of the MSWI control system through one-way optical fibers, process variables from the intranet are forwarded in an OPC server form through a general extranet OPC server, data acquisition and storage are further carried out on the process variables through a customized extranet OPC client, algorithm output obtained through a customized algorithm verification module is compared with actual field output, and further advanced algorithms such as modeling, control and optimization of offline research are verified.
The internal network side and the external network side of the MSWI control system realize absolute physically isolated data transmission through the unidirectional optical fiber.
The MSWI process unidirectional isolation data collection and off-line verification system hardware connection is shown in fig. 3. As can be seen from fig. 3, the system consists of two absolutely physically separated networks.
The function and implementation of the different modules are as follows.
1.1 Intranet data transfer machine
The process variables in different controllers in a DCS factory internal control network in the MSWI process are acquired through the 'DCS factory internal network OPC client', the acquired process variables are provided externally in an OPC server mode through OPC software provided by the DCS factory, and then the 'internal network isolation transmitter' is prevented from directly acquiring the process variables in different controllers of the DCS system, so that the influence on the control performance of the MSWI process DCS system is effectively avoided. The method comprises the following specific steps:
(1) based on the software and hardware of the DCS manufacturer self-control network, the controller variable acquisition OPC server which is communicated with a DCS manufacturer controller is connected through a DCS manufacturer internal network OPC client;
(2) adding a process variable group name and setting a sampling period of a process variable;
(3) selective addition of process variables is achieved by adding data items;
(4) and the selected process variables are provided with forwarding service in the form of an OPC server through a DCS (distributed control System) inner factory network OPC (optical proximity correction) server, so that data acquisition is carried out by a universal inner network OPC client of an inner network isolation transmitter.
1.2 Intranet isolated transmitter
The method comprises the steps of collecting data of an internal network OPC server of a DCS manufacturer by adopting a universal internal network OPC client (the universal method is that the data on the OPC server which is developed by different types of DCS manufacturers and accords with the industrial standard can be identified and collected), selecting the OPC server, grouping process variables, naming and setting sampling time, storing data collection configuration files and data files, and transmitting the data to an external network by utilizing a unidirectional optical fiber through an optical gate unidirectional transmitting device. The method comprises the following specific steps:
(1) logging in through a local IP address and a port number in the same network segment with the intranet data transfer machine;
(2) logging in the intranet data transfer machine through the IP address of the intranet data transfer machine, and selecting a corresponding OPC version and an OPC server;
(3) adding a process variable group name and a sampling period of a process variable;
(4) adding process variables on an intranet data transfer machine by adding data items;
(5) checking the consistency of all process variables and the process variables on the intranet data transfer machine, and storing data acquisition configuration files;
(6) and sending the configuration file to an external network terminal.
1.3 external network isolation receiver
Based on the optical gate unidirectional receiving device, the process variables and the data acquisition configuration file from the intranet isolation transmitter are received through the unidirectional optical fiber, and data service is provided in an OPC service form based on a universal extranet OPC server conforming to the industrial standard. The method comprises the following specific steps:
(1) logging in an external network isolation receiver, and setting a name and an external network IP address;
(2) setting communication parameters of an external network isolation receiver;
(3) opening OPC service of an intranet isolation transmitter on an extranet isolation receiver;
(4) downloading the data acquisition configuration file sent by the intranet isolation transmitter to the extranet isolation receiver, and then importing the data file to obtain a process variable configured and acquired at the intranet side;
(5) the collected process variables are forwarded and started with OPC service, and data service is provided in the form of OPC service based on a universal extranet OPC server;
(6) the process variables on the internal network isolation transmitter and the external network isolation receiver are checked to ensure the correctness of the process variable transmission between the internal network and the external network.
1.4 external network data storage machine
The method supports various forms of customized extranet OPC clients meeting the industrial standards, collects and stores process data in a customized data collection and storage module according to sampling rates required by respective research tasks in a universal extranet OPC server, and provides data support for advanced algorithms such as offline data analysis and offline research modeling, control and optimization. The method comprises the following specific steps:
(1) logging in an 'external network isolation receiver' through an external network IP address, and selecting an OPC version and an OPC server;
(2) based on a customized extranet OPC client, adding grouping names of process variables according to the requirements of respective research tasks and setting a sampling period on a general extranet OPC server;
(3) selecting process variables according to the requirements of respective research tasks;
(4) setting storage parameters of the selected process variables in a customized data acquisition and storage module;
(4) the process variables are stored in the selected format.
1.5 external network algorithm verifier
The method comprises the steps of adopting a customized extranet OPC client supporting various forms and meeting industrial standards, acquiring input process variables in real time on a general extranet OPC server according to requirements of respective research tasks, inputting the input process variables into a customized algorithm verification module developed in an off-line mode, acquiring algorithm output, comparing the algorithm output with field actual output acquired by the customized extranet OPC client, further verifying the effectiveness of the algorithm, and providing support for advanced algorithms such as modeling, control and optimization of an MSWI process researched in an off-line mode. The method comprises the following specific steps:
(1) logging in an 'external network isolation receiver' through an external network IP address to select an OPC version and an OPC server;
(2) based on a customized extranet OPC client, adding a grouping name of an input process variable and setting a sampling period on a general extranet OPC server according to the requirement of an algorithm module to be verified;
(3) selecting an input process variable required by an algorithm to be verified based on a customized extranet OPC client, inputting the input process variable to a customized algorithm verification module, and obtaining algorithm output;
(4) selecting field actual output required by an algorithm to be verified based on a customized extranet OPC client;
(5) comparing the algorithm output of the customized algorithm verification module with the field actual output obtained by the customized extranet OPC client so as to verify the validity of the algorithm.
The invention provides a one-way isolation data acquisition and off-line algorithm verification system for an urban solid waste incineration process, which is characterized in that an intranet side where a DCS (distributed control system) of an MSWI (mobile station wide area network) is located is configured with an intranet data transfer machine, so that the influence on the performance of the DCS due to the fact that process variables in a DCS controller are directly acquired is avoided; the operation of the intranet isolation transmitter is completely independent of the extranet and any third-party configuration equipment, and the configuration file is transmitted to the extranet in a hardware isolation mode through the unidirectional optical fiber transmitting device; the external network isolation receiver is used as a relatively independent OPC server to provide data service to the outside, so that the operation safety and reliability of the data acquisition equipment are ensured; the external network data storage machine supports various data acquisition and storage modes of a customized external network OPC client, and ensures diversified requirements of different types of research tasks on process variable types and sampling rates; the 'extranet algorithm verification machine' provides effective support for the improvement of advanced algorithms such as MSWI modeling, control and optimization of off-line research through a customized extranet OPC client and a customized algorithm verification module.
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Claims (2)

1. A unidirectional isolation data acquisition and off-line algorithm verification system is characterized in that firstly, DCS factory OPC software with strong compatibility with a DCS system adopted by an MSWI enterprise is used for constructing an intranet data transfer machine, so that the intranet data transfer machine can provide key process variables related to research of MSWI process modeling, control and optimization advanced algorithm in an OPC server mode; then, an intranet isolation transmitter provided with an optical gate unidirectional transmitting device is adopted to collect the key process variables and generate a data collection configuration file in an intranet data transfer machine based on a general intranet OPC client, and the operations are independently performed on the intranet isolation transmitter to ensure the safety of an intranet; secondly, receiving key process data and configuration files from an intranet isolation transmitter in a unidirectional optical fiber mode by adopting an 'extranet isolation receiver' provided with an optical gate unidirectional receiving device, and providing forwarding services of the key process variables based on a universal extranet OPC server conforming to an industrial standard; furthermore, a customized extranet OPC client conforming to the industrial standard is adopted to realize the functions of acquiring and storing key process data on an extranet data storage machine, so as to provide support for offline data analysis and algorithm research; finally, on the 'external network algorithm verification machine', the verification of modeling, controlling and optimizing the advanced algorithm of the MSWI process is realized by comparing the output of the customized algorithm verification module with the actual output of an industrial field; the external network algorithm verifier adopts a customized external network OPC client supporting various forms and meeting industrial standards, acquires input process variables on a general external network OPC server in real time according to respective research tasks, inputs the input process variables into a customized algorithm verification module developed in an off-line manner, obtains algorithm output, compares the input process variables with field actual output acquired by the customized external network OPC client, further verifies the effectiveness of the algorithm, and provides support for perfecting modeling, control and optimization of an off-line research advanced algorithm, wherein the specific steps comprise:
(1) logging in an 'external network isolation receiver' through an external network IP address to select an OPC version and an OPC server;
(2) based on a customized extranet OPC client, adding a grouping name of an input process variable and setting a sampling period on a general extranet OPC server according to the requirement of an algorithm to be verified;
(3) selecting an input process variable required by an algorithm to be verified based on a customized extranet OPC client, inputting the input process variable into a customized algorithm verification module, and obtaining algorithm output;
(4) selecting field actual output required by an algorithm to be verified based on a customized extranet OPC client;
(5) comparing the algorithm output of the customized algorithm verification module with the field actual output obtained by the customized extranet OPC client so as to verify the validity of the algorithm;
the internal network data transfer machine collects process variables in different controllers in an internal control network of a DCS manufacturer in the MSWI process through an internal network OPC client of the DCS manufacturer, provides OPC software through the DCS manufacturer and provides the collected process variables externally in the form of an OPC server, and comprises the following specific steps:
(1) based on the software and hardware of the DCS manufacturer self-control network, the controller variable acquisition OPC server which is communicated with a DCS manufacturer controller is connected through a DCS manufacturer internal network OPC client;
(2) adding a process variable group name and setting a sampling period of a process variable;
(3) selective addition of process variables is achieved by adding data items;
(4) the selected process variables are provided with forwarding service in an OPC server mode through a DCS (distributed control System) manufacturer intranet OPC (optical proximity correction) server, and are used for data acquisition of a universal intranet OPC client of an intranet isolation transmitter;
the sender is kept apart to the intranet adopts "general intranet OPC client" to gather "DCS producer intranet OPC server" data, including selecting OPC server, process variable divides into groups, names and sampling time setting, data acquisition configuration file and data file storage to and utilize one-way optic fibre to extranet transmission data function through "optical gate one-way transmitting device", concrete step includes:
(1) logging in through a local IP address and a port number in the same network segment with the intranet data transfer machine;
(2) logging in the intranet data transfer machine through the IP address of the intranet data transfer machine, and selecting a corresponding OPC version and an OPC server;
(3) adding a process variable group name and a sampling period of a process variable;
(4) adding process variables on an intranet data transfer machine by adding data items;
(5) checking the consistency of all process variables and the process variables on the intranet data transfer machine, and storing data acquisition configuration files;
(6) sending the configuration file to an external network terminal;
the outer net isolation receiver receives process data and a data acquisition configuration file from the inner net isolation transmitter through a unidirectional optical fiber based on an optical gate unidirectional receiving device, and provides data service in an OPC service form based on a universal outer net OPC server meeting the industrial standard, and the specific steps comprise:
(1) logging in an external network isolation receiver, and setting a name and an external network IP address;
(2) setting communication parameters of an external network isolation receiver;
(3) opening OPC service of an intranet isolation transmitter on an extranet isolation receiver;
(4) downloading the data acquisition configuration file sent by the intranet isolation transmitter to the extranet isolation receiver, and then importing the data file to obtain a process variable configured and acquired at the intranet side;
(5) the collected process variables are forwarded and started with OPC service, and data service is provided in the form of OPC service based on a universal extranet OPC server;
(6) process variables on the internal network isolation transmitter and the external network isolation receiver are checked to ensure the correctness of process variable transmission between the internal network and the external network;
the external network data storage machine supports various forms of customized external network OPC client sides meeting the industrial standards, collects and stores process data in a customized data collection and storage module on a general external network OPC server according to the sampling rate and configuration required by respective research tasks, and provides support for modeling, controlling and optimizing advanced algorithms of offline data analysis and offline research, and the specific steps comprise:
(1) logging in an 'external network isolation receiver' through an external network IP address to select an OPC version and an OPC server;
(2) based on a customized extranet OPC client, adding a grouping name of a process variable and setting a sampling period on a general extranet OPC server according to the requirements of respective research tasks;
(3) selecting process variables according to the requirements of respective research tasks;
(4) setting storage parameters of the selected process variables in a customized data acquisition and storage module;
(5) the data is stored in the selected format.
2. A system for verification of isolated data collection and offline algorithms, comprising: the system comprises an intranet data transfer machine, an intranet isolation transmitter, an extranet isolation receiver, an extranet data storage machine and an extranet algorithm verifier; the DCS for carrying out MSWI process control is called an 'MSWI control system inner network side', a data acquisition end which is corresponding to the DCS and is isolated by unidirectional optical fibers is called an 'MSWI control system outer network side', and the inner network side and the outer network side of the MSWI control system realize absolute physically isolated data transmission through the unidirectional optical fibers; wherein the content of the first and second substances,
the data acquisition process at the intranet side comprises the following steps: acquiring process variables in different DCS controllers by a controller variable acquisition OPC server communicated with a DCS factory controller through a DCS factory internal network OPC client, providing forwarding service by the controller variable acquisition OPC server, and transmitting a data acquisition configuration file and a data file containing the process variables to an optical gate one-way transmitting device through a universal internal network OPC client;
the data acquisition process at the external network side comprises the following steps: acquiring a data acquisition configuration file and a data file from an intranet side of the MSWI control system through a 'light gate one-way receiving device' through a one-way optical fiber, providing a forwarding service for process variables from the intranet through a 'general extranet OPC server' in the form of an OPC server, further acquiring and storing the process variables through a 'customized extranet OPC client', comparing an algorithm output obtained by a 'customized algorithm verification module' with a field actual output, and further verifying the algorithm;
the method comprises the following steps of adopting a customized extranet OPC client supporting various forms and meeting industrial standards, acquiring input process variables on a general extranet OPC server in real time according to requirements of respective research tasks, inputting the input process variables into a customized algorithm verification module developed in an off-line manner, acquiring algorithm output, comparing the algorithm output with field actual output acquired by the customized extranet OPC client, further verifying the effectiveness of the algorithm, and providing support for perfecting modeling, control and optimization advanced algorithm of off-line research, wherein the specific steps comprise:
(1) logging in an 'external network isolation receiver' through an external network IP address to select an OPC version and an OPC server;
(2) based on a customized extranet OPC client, adding a grouping name of an input process variable and setting a sampling period on a general extranet OPC server according to the requirement of an algorithm to be verified;
(3) selecting an input process variable required by an algorithm to be verified based on a customized extranet OPC client, inputting the input process variable into a customized algorithm verification module, and obtaining algorithm output;
(4) selecting field actual output required by an algorithm to be verified based on a customized extranet OPC client;
(5) comparing the algorithm output of the customized algorithm verification module with the field actual output obtained by the customized extranet OPC client so as to verify the validity of the algorithm.
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