CN113642843A - Monitoring system and method for desulfurization, denitrification and dry quenching of active coke - Google Patents

Monitoring system and method for desulfurization, denitrification and dry quenching of active coke Download PDF

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Publication number
CN113642843A
CN113642843A CN202110780638.1A CN202110780638A CN113642843A CN 113642843 A CN113642843 A CN 113642843A CN 202110780638 A CN202110780638 A CN 202110780638A CN 113642843 A CN113642843 A CN 113642843A
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data
cloud platform
desulfurization
denitrification
dry quenching
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初霖
陈超
柴智
兰佳佳
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Beijing JC Energy and Environment Engineering Co Ltd
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Beijing JC Energy and Environment Engineering Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063114Status monitoring or status determination for a person or group
    • CCHEMISTRY; METALLURGY
    • C10PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10BDESTRUCTIVE DISTILLATION OF CARBONACEOUS MATERIALS FOR PRODUCTION OF GAS, COKE, TAR, OR SIMILAR MATERIALS
    • C10B41/00Safety devices, e.g. signalling or controlling devices for use in the discharge of coke
    • 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
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/05Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
    • G05B19/058Safety, monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining

Abstract

The embodiment of the application provides a monitoring system and a monitoring method for desulfurization, denitrification and dry quenching of active coke, and relates to the technical field of desulfurization, denitrification and dry quenching of the active coke. The system comprises: the intelligent data acquisition gateway is used for reading the operating data through an industrial Ethernet and transmitting the read data to the cloud platform through a mobile communication network; and the cloud platform is used for receiving the intelligent data acquisition gateway and sending the intelligent data acquisition gateway to perform visual display. The monitoring system management personnel can realize remote real-time acquisition and monitoring, statistical analysis, data and process flow optimization and other operations of the desulfurization and denitrification of the active coke and the dry quenching information, can master the production condition of an enterprise at any time and any place, can help the enterprise to solve the production process and operation problems under the condition of no site and no contact, and greatly reduces the fault risk caused by misoperation on the site.

Description

Monitoring system and method for desulfurization, denitrification and dry quenching of active coke
Technical Field
The embodiment of the application relates to the technical field of activated coke desulfurization and denitrification and dry quenching, in particular to a monitoring system and a monitoring method for activated coke desulfurization and denitrification and dry quenching.
Background
Sintering/pelletizing flue gas and dry quenching flue gas are one of the main pollution sources of iron and steel enterprises. Under the new era background that the environmental protection situation is increasingly severe and the environmental protection requirements are gradually increased, especially along with the implementation of the ultra-low emission modification of the steel industry and the promotion of the ultra-low emission evaluation monitoring work of the steel industry, stricter requirements are provided for the sintering/pelletizing flue gas pollutant emission and the upgrading and modification of pollution treatment facilities.
The desulfurization and denitrification technology of the active coke is a dry flue gas treatment technology which utilizes the adsorption function of the active coke, simultaneously removes sulfur oxides, nitrogen oxides and smoke dust in the flue gas and recovers sulfur resources. The active coke desulfurization and denitrification technology can remove sulfur dioxide and nitrogen oxides, has a removing effect on smoke dust, mercury, dioxin, heavy metals, volatile organic compounds and other trace elements in flue gas, and has the advantages of simple process, low cost, resource utilization and the like. After the activated coke desulfurization and denitrification technology was developed in the 60 th of the 20 th century, the industrial popularization and application began in the 80 th. At present, the technology is applied to treating various industrial waste gases such as coal-fired boiler flue gas, sintering/pelletizing flue gas, waste incineration flue gas and the like, and relates to a plurality of key industries such as chemical industry, electric power, metallurgy and the like.
The dry quenching technology is that red coke is loaded from the top of a dry quenching furnace, low-temperature inert gas is blown into a red coke layer of a cooling section of the dry quenching furnace by a circulating fan to absorb the sensible heat of the red coke, the cooled coke is discharged from the bottom of the dry quenching furnace, high-temperature inert gas discharged from an annular flue of the dry quenching furnace flows through a dry quenching process boiler to carry out heat exchange, the boiler generates steam which can be used for power generation, the cooled inert gas is blown into the dry quenching furnace again by the circulating fan, and the inert gas is recycled in a closed system. The dry quenching process is superior to wet quenching in energy saving, environment protection, coke quality improvement and other aspects.
However, for the activated coke desulfurization and denitrification and dry quenching device built by enterprises, the degree of understanding of an operator on a new device is low, the operation proficiency is low, warning information is not paid attention to and other reasons, and the conditions that the device is on fire, the failure analysis is difficult and the like often occur. And the active coke desulfurization and denitrification and dry quenching device needs personnel to carry out field equipment management, information communication and fault analysis, but the field communication and analysis can not be carried out due to some special reasons such as epidemic situation isolation, so that the equipment can not run safely.
Disclosure of Invention
The embodiment of the application provides a monitoring system and a monitoring method for desulfurization, denitrification and dry quenching of active coke, so as to solve at least one technical problem.
The embodiment of the application provides a monitoring system for desulfurization, denitrification and dry quenching of active coke in a first aspect, the system includes:
the acquisition module is used for acquiring operation data in the active coke desulfurization and denitrification process and the dry quenching process, wherein the operation data come from preselected parameters, and the parameters comprise: technical parameters and process parameters;
the intelligent data acquisition gateway is connected with the acquisition module through an industrial Ethernet and is used for reading the operating data through the industrial Ethernet and transmitting the read data to the cloud platform through a mobile communication network;
and the cloud platform is connected with the intelligent data acquisition gateway through a mobile communication network, and is used for receiving the data sent by the intelligent data acquisition gateway and carrying out visual display according to the received data.
Optionally, the activated coke desulfurization and denitrification process and the coke dry quenching process are controlled by a programmable logic controller, and the system further includes:
and the defining module is used for defining the function focus related to the parameters in the programmable logic controller as a function block focus so as to store the running data in a data block DataBlock.
Optionally, the activated coke desulfurization and denitrification process and the coke dry quenching process are controlled by a programmable logic controller, and the system further includes:
and the defining module is used for defining the function focus related to the parameters in the programmable logic controller as a function block focus so as to store the running data in a data block DataBlock.
Optionally, the intelligent data acquisition gateway further includes:
and the transmission submodule is used for transmitting the read data to the cloud platform through the mobile communication network in a point-to-point virtual private network VPN-P2P mode.
Optionally, the cloud Platform adopts a Platform as a Service Platform-as-a-Service mode.
In a second aspect, an embodiment of the present application provides a method for monitoring desulfurization, denitrification and dry quenching of active coke, where the method includes:
collecting operation data in the desulfurization and denitrification process and the dry quenching process of the active coke, wherein the operation data come from pre-selected parameters, and the parameters comprise: technical parameters and process parameters;
the intelligent data acquisition gateway reads the operating data through an industrial Ethernet and transmits the read data to the cloud platform through a mobile communication network;
and the cloud platform receives the data sent by the intelligent data acquisition gateway and performs visual display according to the received data.
Optionally, a function foundation related to the parameter in the programmable logic controller is defined as a function block foundation, so as to store the running data in a data block DataBlock.
Optionally, after defining the function focus related to the parameter in the programmable logic controller as a function block focus, the method further includes:
defining a data processing Fouction block at the programmable logic controller, wherein the data processing Fouction block is used for processing the running data into evaluation data;
the intelligent data acquisition gateway reads the operation data through the industrial Ethernet and transmits the read data to the cloud platform through the mobile communication network, and the intelligent data acquisition gateway further comprises:
and the intelligent data acquisition gateway reads the evaluation data in the programmable logic controller through an industrial Ethernet and transmits the read data to the cloud platform through a mobile communication network.
Optionally, the transmitting the read data to the cloud platform through the mobile communication network further includes:
and transmitting the read data to the cloud platform through the mobile communication network in a point-to-point virtual private network VPN-P2P mode.
Optionally, the cloud Platform adopts a Platform as a Service Platform-as-a-Service mode.
The embodiment of the application provides a monitoring system and a method for desulfurization, denitrification and dry quenching of active coke, wherein the system comprises: the intelligent data acquisition gateway is used for reading the operating data through an industrial Ethernet and transmitting the read data to the cloud platform through a mobile communication network; and the cloud platform is used for receiving the intelligent data acquisition gateway and sending the intelligent data acquisition gateway to perform visual display. By adopting the monitoring system, managers can realize remote real-time acquisition and monitoring, statistical analysis, data and process flow optimization and other operations of the information of the desulfurization and denitrification of the active coke and the dry quenching process, can greatly reduce the fault risk caused by misoperation on site, can help enterprises to solve the production process and operation problems under the condition of no site and no contact, can guide the production enterprises to carry out correct operation habits, can utilize trend curves and reports to carry out accident analysis, and really master the production conditions of the enterprises anytime and anywhere.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a schematic view of a monitoring system for desulfurization, denitrification and dry quenching of activated coke according to an embodiment of the present application;
fig. 2 is a flowchart of a monitoring method for desulfurization and denitrification and dry quenching of active coke according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of a monitoring system for desulfurization, denitrification and dry quenching of active coke according to an embodiment of the present application. As shown in fig. 1, the system includes:
an acquisition module 110, configured to acquire operation data in the activated coke desulfurization and denitrification process and the coke dry quenching process, where the operation data is derived from pre-selected parameters, and the parameters include: technical parameters and process parameters.
The technical parameters refer to relative data measured by equipment under specified detection conditions, generally performance test reports made for design or production, and the process parameters refer to a series of basic data or indexes of a process for completing a certain work, namely, the basic data or indexes constitute the content of process operation or design.
Important technical parameters and process parameters are selected in advance as the basis for evaluating the process and the production condition, for example, data of production process sensors, data of a control system, data of environmental working conditions, data of equipment operation and the like can be selected. In the examples of the present application, the process parameters select some important parameters of desulfurization and denitrification of activated coke: flue gas temperature, flue gas flow, flue gas pressure and SO in flue gas2Concentration of (3), NO in flue gasxConcentration of (1), O in flue gas2Concentration of (2), ammonia slip amount, etc., and the techniqueThe parameters can be selected as follows: the pressure of the fan centrifugal ventilator refers to boosting, the rotating speed of a fan rotor, the material level of the adsorption tower and the like, and the actual data of the parameters at the current moment of the active coke desulfurization and denitrification/dry quenching process are collected to form the operation data of the active coke desulfurization and denitrification and dry quenching process.
And the intelligent data acquisition gateway 120 is connected with the acquisition module through an industrial Ethernet, and is used for reading the operating data through the industrial Ethernet and transmitting the read data to the cloud platform through a mobile communication network.
The gateway works in an application layer and is mainly used for connecting two different networks, and meanwhile, the gateway can also communicate with hosts of different networks at the same time. Since hosts of different networks of the internet are not able to communicate directly, gateways must be established to communicate with each other. In short, a gateway is a network that manages IP addresses between different network segments to other networks. The intelligent data acquisition gateway connects the field device with the cloud platform to forward data between the field network and the outside of the cloud, for example: the external network comprising the field devices and forming the network A and the cloud platform is B, the IP address range of the network A is 192.168.1.1-192.168.1.254, the subnet mask is 255.255.255.0, the IP address range of the network B is 192.168.2.1-192.168.2.254, and the subnet mask is 255.255.255.0. The TCP/IP protocol also determines A, B that the hosts in the two networks are in different networks according to the subnet mask (255.255.255.0), if a host in network a, such as a PLC (Programmable Logic Controller), wants to communicate with a host in network B, such as a cloud platform, it needs to allocate an address in IP of network a and IP of network B in advance as a gateway 1 (such as an intelligent data acquisition gateway) and a gateway 2 (a gateway preset by an external network), the host in network a forwards the packet to its gateway, i.e., gateway 1, and then gateway 1 forwards the packet to gateway of network B, i.e., gateway 2, and gateway 2 forwards the packet to a host in network B.
Moreover, the intelligent data acquisition gateway selected by the application also has the functions of data acquisition, data storage, protocol conversion, data forwarding, edge calculation and the like, so that the operation data domain acquired by the field device is read.
Aiming at the problems that the current industrial communication protocol standards are not uniform and incompatible, and a large number of 'dumb devices' which do not open protocols exist, the intelligent data acquisition gateway can comprise a protocol gateway port and an acquisition gateway port, wherein the protocol gateway port is a part which provides a serial port/a network port to acquire intelligent device data, supports the acquisition of data in a bus communication protocol mode, and can convert various different acquisition protocols into standard network protocols and send the standard network protocols to a control center. The collection gateway port is a part for providing an IO interface to collect dummy equipment data, supporting data acquisition in a signal conversion mode, uniformly packaging various types of IO data, packaging into a standard network protocol and sending the standard network protocol to a monitoring center.
For the problem of tolerance of industrial communication protocols, the intelligent data acquisition gateway supports various protocols, supports main stream protocols such as ModbusTCP, OPCUA and MQTT which are uplink to the industrial gateway, and for the uplink communication protocols: the system can analyze a standard ModbusTCP acquisition protocol, a plurality of MQTT acquisition protocols of different manufacturers and different gateway models based on an MQTT communication mechanism, and a client acquisition protocol based on OPCUA. And protocol analysis of descending mainstream protocols ModbusRTU, PPI, MPI, DF1, SNP, ProfiNet, EtherCAT, CCLink and the like is supported.
This application with intelligent data acquisition gateway access on-the-spot industrial switch, through industrial ethernet, realize carrying out real-time communication with SOx/NOx control PLC. The intelligent data acquisition gateway performs protocol access, protocol analysis, protocol package and the like, reads the operation data, and transmits the read operation data to the cloud platform through a mobile communication network such as a 4G network.
In an embodiment of the present application, the activated coke desulfurization and denitrification process and the coke dry quenching process are controlled by a programmable logic controller, and the system further includes:
and the defining module is used for defining the function focus related to the parameters in the programmable logic controller as a function block focus so as to store the running data in a first data block DataBlock.
In the embodiment of the application, a Programmable Logic Controller (PLC) is adopted to control the desulfurization and denitrification process and the dry quenching process of the active coke. The overall program of the PLC is composed of individual program blocks, but FC (Function) written by users is a logic block without memory. They do not have data storage, i.e. memory for storing module parameter values. Therefore, when the function is called, all interfaces must be switched on. A function FC contains a program that is executed when the function is called by another logic block. These functions may be used for the following purposes, for example: mathematical functions, such as returning a result based on an input value. Process functions such as a single controller operating in a binary logic associative manner. The same function may also be called multiple times at different locations within a program.
Although functional blocks may also work with temporary variables. But the temporary variable is not saved in the data block but is only available for use during the cycle time of one cycle.
In the PLC, a Data Block (DB) refers to a location for storing variable data operated by a user program, and there is no program in the data block, and the maximum size of one DB varies depending on a CPU. The data block DB may be shared, and each OB (Organization block), FC (Function), and the like reads and writes data. A data block (or memory) differs from a logic block in that it contains not instructions, but rather user data. Contained in the data block are variables for user program processing, the structure of the global data block can be defined as required,
since FC cannot store data in operation, the application considers that function focus related to preselected parameters can be defined as function block focus, and since the function block has its own storage area, data of these parameters in the function block in the active coke desulfurization and denitrification process will be stored in the corresponding background data block and will not be removed.
The function block FB (or function block) is a logic block, but it can keep the input variable, the output variable, the channel variable and the static variable in the background data block. These variables are available even after the module processing process is complete. They are therefore also referred to as "memorised" modules. Background data blocks (also called fixed data blocks) generally refer to the parts of data blocks belonging to function blocks, and the access rights of the background data blocks are in principle only open to the function blocks to which they belong. The maximum size of the background data block is related to the CPU model and will vary accordingly. The variables listed in the function block determine the structure of the background data block.
Function blocks may be used to perform tasks that cannot be performed by function, for example, when a timer and counter are required in a module, when a piece of information must always be saved in a program, when an operation mode is preselected by a button. Other logic blocks execute function blocks when they call them. Function blocks may also be called multiple times at different locations within a program. Thus, programming of complex functions that are often repeated can be simplified. The invocation of a function block is referred to as an instance. Each instance of a functional block is associated with a memory area containing data required for processing the functional block. The memory area can be used for data blocks automatically generated by software, and one memory area can also be used as multiple backgrounds for multiple instances in one data block.
The FC related to the selected parameter is defined as the FB, and the FB can automatically store the data in the background data block to which the FB belongs when being executed, so that the data of the parameter in execution can be stored in the PLC without additional collection.
In an embodiment of the present application, the defining module is further configured to define, at the programmable logic controller, a data processing foucault, where the data processing foucault is used to process the operating data into evaluation data;
because the collected operation data are disordered and rough data, subsequent cloud platform display is not utilized, measures such as fold line change statistics, synchronization comparison and the like are further adopted to form evaluation data from the operation data, and the current overall condition of the active coke desulfurization and denitrification/dry quenching technological process can be directly and specifically displayed through the evaluation data.
Further, the processing process of the running data is that a FB for data processing is defined in the PLC through a definition module, in other words, in the original PLC running program, the processing process of the collected parameters is added, the running data is processed and stored in the PLC after being collected, the data processing is completed by the functions of the PLC, all other operations except the displayed data are performed in other operation blocks of the PLC, and for example, the processing process of the parameters, such as sorting, arithmetic operation, classification and synthesis, is defined as Fouction block and added in the original PLC program. Since the assessment data subsequently needs to be read out, this incremental processing procedure is also in FB form,
and, carrying on the data processing in PLC can also reduce the mobile network like 4G network data traffic, so that the actual situation that the cloud platform can be reflected on the scene fast, only store the data used for cloud platform display finally in the data block DB, because the PLC on the scene is the redundant system, the systematic margin of oneself is greater, and the cloud platform server needs many kinds of calculation load relatively great, reduce the operation of the data as far as possible, in order to lighten the load of the platform, in the case that the 4G network is stable, the display of the cloud platform is almost the same with the on-the-spot display like this. The stored assessment data can be directly used for visual display by the cloud platform.
The intelligent data acquisition gateway is further used for reading the evaluation data in the programmable logic controller through an industrial Ethernet and transmitting the read data to the cloud platform through a mobile communication network.
After the PLC is adopted to generate the evaluation data for display, the intelligent data acquisition gateway reads the data from the PLC and sends the data of the readings to the cloud platform.
And the cloud platform 130 is connected with the intelligent data acquisition gateway through a mobile communication network, and is used for receiving the data sent by the intelligent data acquisition gateway and performing visual display according to the received data.
The cloud platform has a powerful remote visualization function and is rich in data interface forms, the cloud platform has two serial port communication modes, namely a CAN bus and an RS-485 bus, which are most commonly used, and also comprises other serial port communication modes, such as RS-232, RS-422, a USB interface, an Ethernet interface and a GPRS module interface, and the cloud platform also has picture elements with real texture, such as a column diagram, a broken line diagram, a 3D remote picture schematic diagram, a field flow schematic diagram and the like.
And after receiving the data transmitted by the intelligent data acquisition gateway, the cloud platform stores the data in a real-time historical database of the server side and displays the data to reflect the actual situation of the site. The visual display mode for the cloud platform can be as follows: the cloud platform pre-builds a visual on-site flow chart of the on-site production process and displays specific data below, such as when the fan inlet pressure of the analytical tower is too low in the assessment data. The relevant functions of the fan in the site map, namely the fan and the air supply channel are changed into preset colors like red to remind a user, and meanwhile, the site map displays xxx fan inlet pressure alarm, and the numerical value is xxxx.
In another visual display mode, the cloud platform can establish a 3D remote view of the whole active coke desulfurization and denitrification and dry quenching system, a fan pipeline, a transportation system and the like are displayed in a 3D model mode, and when a user clicks a model of equipment related to a certain process, evaluation data corresponding to the equipment is displayed in a report form, an object statistic mode and the like.
The cloud platform can also assign an ID to the field device, and when the received data contains an abnormal condition and the time and date of the abnormal condition, the ID, time and date of the fault device are also shown together, such as time xxx, Idxxxx, date xxx, IDxxx, event: and xxxx blower inlet pressure alarm, and the abnormal value is xxxx.
When a plurality of active coke desulfurization and denitrification and dry quenching systems distributed at different places exist, the cloud platform can record the position information of each system in advance, further, the position information of each device in the system can be recorded, GIS maps of a plurality of systems are established, when a certain parameter in the evaluation data is detected to be abnormal, the system and the device with the fault are displayed on the GIS maps, and managers can know the position information of the system and the device with the fault to maintain in time. The cloud platform sets up each managers' authority in advance, and the managers who possess corresponding authority can access the data of corresponding equipment and system, avoids data leakage or managers maloperation scheduling problem, based on the management authority, when data is unusual, with fault department equipment and system notice possess the managers who corresponds the authority, realize the corresponding warning of information. And based on the authority management of the cloud platform, hierarchical layering is realized, and managers respectively play their roles.
The cloud platform can realize functions of platform integrated report analysis, fault management, trend curve, equipment management and control and the like based on the received data, and process data is collected, processed and displayed in an all-around and multi-angle mode, so that remote real-time collection monitoring, statistical analysis, data and process flow optimization and the like of process information are realized.
In an alternative embodiment of the present application, the cloud platform employs HTML5 front-edge technology framework.
Further, the cloud Platform adopts a Platform as a Service Platform-as-a-Service mode.
HTML5 is the result of W3C (World Wide Web Consortium) collaborating with the whatwg (Web Hypertext Application Technology work group), and in 2006 both parties decide to collaborate to create a new version of HTML, HTML 5. HTML5 now has for previous web languages: the new features should be based on HTML, CSS, DOM, and JavaScript; reducing the need for external plug-ins (such as Flash); more excellent error handling; more markup in place of scripts; HTML5 should be independent of device, etc. features.
Platform-as-a-Service is a kind of cloud Service, which can be divided into three major categories, IaaS (Infrastructure-as-a-Service Infrastructure Service), PaaS (Platform-as-a-Service) Platform Service, SaaS (Software-as-a-Service) Software Service, PaaS provides a Software deployment Platform (runtime), abstracts hardware and operating system details, and can be seamlessly extended (scaling). Developers only need to pay attention to own business logic and do not need to pay attention to the bottom layer.
Cloud computing (cloud computing) is one type of distributed computing, and means that a huge data computing processing program is decomposed into countless small programs through a network "cloud", and then the small programs are processed and analyzed through a system consisting of a plurality of servers to obtain results and are returned to a user. Cloud computing is simply understood as simple distributed computing, solves task distribution, and merges computing results. Thus, cloud computing is also known as grid computing. By the technology, tens of thousands of data can be processed in a short time (several seconds), so that strong network service is achieved. Cloud computing has the advantages of high flexibility, expandability, high ratio and the like.
The cloud platform server sorts, optimizes, counts and analyzes the evaluation data and then issues the data in an HTML5 mode for equipment access, and the HTML5 mode can be compatible with various kinds of equipment, so that managers can monitor the data in real time in a convenient mode.
The method adopts a PaaS mode, and the time required for coding new applications can be greatly reduced through pre-coding application program components (such as workflow, directory service, security function, search and the like) arranged in a platform through a PaaS development tool, so that the coding time is reduced. The platform, namely the service component, can expand the capability of a development team without increasing staff with necessary skills and improving the development capability without increasing staff. Some PaaS service providers offer development options for a variety of platforms (e.g., computers, mobile devices, and browsers) that enable faster and easier development of cross-platform applications and more easily for a variety of platforms, including mobile platforms. The pay-as-you-go mode used by the PaaS service can be used without a whole set of purchased advanced development software, commercial intelligence and analysis tools, so that the cost is reduced, and the PaaS service is more economical and practical. The PaaS model enables a development team to collaborate in a development project even if members of the development team are far away from each other by accessing a development environment through the Internet, and supports a development team with a dispersed geographical position. The PaaS provides all functions required for supporting the complete life cycle (generation, test, deployment, management and update) of the Web application program in the same integrated environment, and can effectively manage the life cycle of the application program.
The application provides a monitored control system of active burnt SOx/NOx control and dry quenching, the system includes: the intelligent data acquisition gateway is used for reading the operating data through an industrial Ethernet and transmitting the read data to the cloud platform through a mobile communication network; and the cloud platform is used for receiving the intelligent data acquisition gateway and sending the intelligent data acquisition gateway to perform visual display. By adopting the monitoring system, managers can realize remote real-time acquisition and monitoring, statistical analysis, data and process flow optimization and other operations of the process information of the desulfurization, the denitrification and the dry quenching of the active coke, can greatly reduce the fault risk caused by misoperation on site, can help enterprises to solve the production process and operation problems under the condition of no site and no contact, can guide the production enterprises to carry out correct operation habits, can utilize trend curves and reports to carry out accident analysis, and really master the production conditions of the enterprises anytime and anywhere.
In an optional embodiment of the present application, the intelligent data collection gateway further includes:
and the transmission submodule is used for transmitting the read data to the cloud platform through the mobile communication network in a point-to-point virtual private network VPN-P2P mode.
P2P (english full peer-to-peer) is a new computing model that emphasizes logical peering between nodes. The P2P network is also commonly referred to as a peer-to-peer network, where each participating node contributes a portion of the computing power, storage power, and network connectivity. These capabilities are directly accessible as shared resources by other peer nodes over the network. And no intermediate entity is needed in the access process, so each node is a user of the resource and the service and a provider of the whole resource and service. Each network node is interconnected in a flat topology. Nodes without special positions in the whole network can respond to any peer node by each node to provide resources.
According to the method, the intelligent data acquisition gateway and the cloud platform are used as two equal nodes to form a P2P Network, and VPN (Virtual Private Network) is adopted for communication between the networks and is a communication method commonly used for connecting Private networks of medium-sized and large-sized enterprises or groups. The virtual private network provides confidentiality by preventing interception and sniffing through a cryptographic Tunneling Protocol, also allows sender identity verification to prevent identity forgery, and provides message integrity by preventing information from being modified.
The right is released by adopting the P2P structure, the defects that the load of a central node is large in the weight collection formula, and the whole system cannot normally operate due to faults are overcome, the response speed between the nodes can be accelerated, and the freedom between the nodes is ensured. And the use of a VPN can satisfy the customer's absolute security requirements for data.
Based on the same inventive concept, an embodiment of the application provides a monitoring method for desulfurization, denitrification and dry quenching of active coke. Referring to fig. 2, fig. 2 is a flow chart of a monitoring method for desulfurization, denitrification and dry quenching of active coke according to an embodiment of the present application. As shown in fig. 2, the method comprises the steps of:
step S210, collecting operation data in the desulfurization and denitrification process and the dry quenching process of the active coke, wherein the operation data come from preselected parameters, and the parameters comprise: technical parameters and process parameters;
step S220, the intelligent data acquisition gateway reads the operating data through the industrial Ethernet and transmits the read data to the cloud platform through the mobile communication network;
and S230, receiving the data sent by the intelligent data acquisition gateway by the cloud platform, and carrying out visual display according to the received data.
In an embodiment of the present application, the activated coke desulfurization and denitrification process and the coke dry quenching process are controlled by a programmable logic controller, and the method further includes:
defining a function focus related to the parameter in the programmable logic controller as a function block focus to store the running data in a data block DataBlock;
further, after defining the function, which is related to the parameter, in the programmable logic controller as a function block, the method further includes:
defining a data processing Fouction block at the programmable logic controller, wherein the data processing Fouction block is used for processing the running data into evaluation data;
further, the intelligent data acquisition gateway reads the operation data through the industrial ethernet, and transmits the read data to the cloud platform through the mobile communication network, and the intelligent data acquisition gateway further includes:
and the intelligent data acquisition gateway reads the evaluation data in the programmable logic controller through an industrial Ethernet and transmits the read data to the cloud platform through a mobile communication network.
Further, the step S220 of transmitting the read data to the cloud platform through the mobile communication network further includes:
and transmitting the read data to the cloud platform through the mobile communication network in a point-to-point virtual private network VPN-P2P mode.
In one embodiment of the application, the cloud Platform adopts a Platform as a Service Platform-as-a-Service mode.
As for the method embodiment, since it is basically similar to the system embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one of skill in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of 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, embodiments of 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.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, 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 terminal 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 terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The monitoring system and method for desulfurization, denitrification and dry quenching of active coke provided by the application are introduced in detail, and specific examples are applied in the description to explain the principle and the implementation manner of the application, and the description of the examples is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (10)

1. A monitoring system for desulfurization, denitrification and dry quenching of active coke, characterized in that the system comprises:
the acquisition module is used for acquiring operation data in the active coke desulfurization and denitrification process and the dry quenching process, wherein the operation data come from preselected parameters, and the parameters comprise: technical parameters and process parameters;
the intelligent data acquisition gateway is connected with the acquisition module through an industrial Ethernet and is used for reading the operating data through the industrial Ethernet and transmitting the read data to the cloud platform through a mobile communication network;
and the cloud platform is connected with the intelligent data acquisition gateway through a mobile communication network, and is used for receiving the data sent by the intelligent data acquisition gateway and carrying out visual display according to the received data.
2. The system of claim 1, wherein the activated coke desulfurization and denitrification process and the coke dry quenching process are controlled by a programmable logic controller, and the system further comprises:
and the defining module is used for defining the function focus related to the parameters in the programmable logic controller as a function block focus so as to store the running data in a data block DataBlock.
3. The system of claim 2, wherein the defining module is further configured to define a data processing Fouction block at the programmable logic controller, the data processing Fouction block configured to process the operating data into the assessment data;
the intelligent data acquisition gateway is further used for reading the evaluation data in the programmable logic controller through an industrial Ethernet and transmitting the read data to the cloud platform through a mobile communication network.
4. The system of claim 1, wherein the intelligent data collection gateway further comprises:
and the transmission submodule is used for transmitting the read data to the cloud platform through the mobile communication network in a point-to-point virtual private network VPN-P2P mode.
5. The system of claim 1, wherein the cloud Platform employs Platform-as-a-Service (Platform-as-a-Service) mode.
6. A monitoring method for desulfurization, denitrification and dry quenching of active coke is characterized by comprising the following steps:
collecting operation data in the desulfurization and denitrification process and the dry quenching process of the active coke, wherein the operation data come from pre-selected parameters, and the parameters comprise: technical parameters and process parameters;
the intelligent data acquisition gateway reads the operating data through an industrial Ethernet and transmits the read data to the cloud platform through a mobile communication network;
and the cloud platform receives the data sent by the intelligent data acquisition gateway and performs visual display according to the received data.
7. The method of claim 6, wherein the activated coke desulfurization and denitrification process and the coke dry quenching process are controlled by a programmable logic controller, and the method further comprises:
and defining a function Fouction related to the parameters in the programmable logic controller as a function block Fouction block so as to store the running data in a data block DataBlock.
8. The method of claim 6, wherein after defining a function focus associated with the parameter in the programmable logic controller as a function block focus, further comprising:
defining a data processing Fouction block at the programmable logic controller, wherein the data processing Fouction block is used for processing the running data into evaluation data;
the intelligent data acquisition gateway reads the operation data through the industrial Ethernet and transmits the read data to the cloud platform through the mobile communication network, and the intelligent data acquisition gateway further comprises:
and the intelligent data acquisition gateway reads the evaluation data in the programmable logic controller through an industrial Ethernet and transmits the read data to the cloud platform through a mobile communication network.
9. The method according to claim 1, wherein the step of transmitting the read data to the cloud platform through a mobile communication network further comprises:
and transmitting the read data to the cloud platform through the mobile communication network in a point-to-point virtual private network VPN-P2P mode.
10. The method of claim 1, wherein the cloud Platform employs Platform-as-a-Service (Platform-as-a-Service) mode.
CN202110780638.1A 2021-07-09 2021-07-09 Monitoring system and method for desulfurization, denitrification and dry quenching of active coke Pending CN113642843A (en)

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