CN115065710A - Heating furnace wisdom control by temperature change PC end and remote cloud system of observing and controling of removal end - Google Patents
Heating furnace wisdom control by temperature change PC end and remote cloud system of observing and controling of removal end Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
- C21D11/00—Process control or regulation for heat treatments
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
- C21D9/00—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor
- C21D9/70—Furnaces for ingots, i.e. soaking pits
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to a heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system, which comprises a data acquisition module, a cloud storage module, a remote model module, a PC client module and a mobile client module, wherein the data acquisition module is used for acquiring a cloud state data; the data acquisition module acquires the data of the rolling mill end into the control end of the heating furnace, transmits the data to the cloud storage module, and reads the data by the PC client and the mobile client. The PC client monitors field data and utilizes a remote model module to decouple the coupling relation between the furnace temperature and the steel temperature to obtain the temperature of each steel billet in the furnace under the current working condition, and the optimal steel-burning furnace temperature when the steel billet reaches the target tapping temperature is obtained; the mobile client only displays and statistically analyzes the key data of the site working condition and sets the upper limit of each valve. The invention can observe and operate the parameters of the on-site heating furnace at any time, deal with the problems in time, ensure the air-fuel ratio of the heating furnace to be stable, and realize remote intelligent steel burning to ensure that the steel burning temperature reaches the optimal steel burning temperature to avoid over burning and under burning.
Description
Technical Field
The invention relates to the technical field of big data and data visualization, in particular to a heating furnace intelligent temperature control PC end and a mobile end remote cloud measurement and control system.
Background
Modern billet heating furnace production lines are increasingly large and complicated, and remote monitoring can enable technicians to monitor and control the operation states and various parameters of production systems and field equipment without visiting the field, so that the number of watchful workers is reduced, remote unattended or unattended operation is finally realized, the production cost is reduced, the labor productivity is improved, along with the rapid development of modern industrial technologies, artificial intelligence, cloud data and other means are widely applied to industrial production, and the requirements on the billet heating furnaces are increasingly approaching to digitization and intellectualization. The heating furnace mainly has the following functions: the microstructure of the steel billet is changed by preheating, heating and soaking the steel billet so as to change the steel billet from a cold steel billet into a hot steel billet which can be rolled.
Currently, two main problems are faced with heating furnaces: firstly, the problem of environmental protection is solved, the air-fuel ratio is reasonably configured, so that the phenomenon of generating black smoke due to insufficient combustion of gas or coal gas is avoided in the production process, and the nitric oxide is ensured to reach the environmental protection standard; secondly, energy consumption is reduced, on the premise of meeting the temperature distribution of the surface of a steel billet required by rolling of a rolling mill, the energy consumption of a heating furnace and the oxidation burning loss of the surface of the steel billet are reduced to the maximum extent, the steel billet mainly has heating energy loss and rolling energy loss in the production process, a certain proportion relation exists between the heating energy loss and the rolling energy loss, when the rolling temperature is reduced, the rolling energy consumption is increased to some extent, the heating energy consumption is reduced, when the temperature of the steel billet is overhigh, the steel sticking phenomenon possibly occurring when the melting point of the steel billet is reached, not only the production is influenced, but also the energy waste is caused, therefore, when the temperature required by rolling is met in the heating process of the steel billet, the reasonable control of the temperature of the steel billet plays an important role in saving energy and reducing consumption, saving cost and reducing the phenomenon of under-burning or steel sticking occurring in the production. The reasonable control of the air-fuel ratio in a heating furnace system is particularly key, the poor matching of the air-fuel ratio can cause black smoke to be generated during heating and reversing of steel billets, nitrogen oxides exceed standards and pollute the environment, even under-burning (the steel tapping temperature is low and the rolling temperature is not met) and over-burning phenomena occur, or false data occur when certain sensors exceed the measuring ranges of the sensors, even the sensors are damaged, at present, the air-fuel ratio of each heating section is adjusted mainly by means of manual experience on site, whether each sensor in an operating system is abnormal or not is observed constantly and adjusted manually, so that the time of workers is wasted, and the best combustion state of the current combustion cannot be guaranteed (the nitrogen oxides meet the standards, the energy consumption is least, the cost is saved, and the rolling temperature requirements are met). At present, a part of factories adopt automatic steel burning systems of heating furnaces, but most of the automatic steel burning systems at present need to manually input a furnace temperature set value and an air-fuel ratio set value, and steel is burned according to the manually input air-fuel ratio and the set furnace temperature.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system, which stores data through a cloud data platform, establishes a PC and a mobile client to read the data from the cloud platform, remotely monitors the field production state and operation parameters, the PC client can remotely control the field while monitoring, simultaneously establishes a billet temperature forecast and furnace temperature setting model according to gas flow, air-fuel ratio, furnace temperature and the like, transmits the set furnace temperature to a field control system through the cloud platform to enable the heating furnace to reach the optimal combustion state to realize remote closed-loop control, supervises the field important data by the mobile client, statistically analyzes and summarizes gas consumption and tapping number, enables the working personnel to reduce the production cost under the condition of ensuring the tapping temperature, and simultaneously sets the upper limit of the pressure of each pipeline and steam pocket, and early warning is carried out in time.
The technical scheme adopted by the invention is as follows:
the invention provides a heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system, which comprises a data acquisition module, a cloud storage module, a remote model module, a PC client module and a mobile client module;
the data acquisition module: the system is used for acquiring heating furnace end data and rolling mill end data, performing local display and calling on one hand, and uploading the data to a cloud storage module for remote measurement and control on the other hand;
the cloud storage module: the cloud storage module is used for carrying out cloud storage on the data acquired by the data acquisition module and reading the data by the remote equipment;
the remote model module: the intelligent remote steel burning control system is used for automatically and intelligently burning steel in a remote mode, establishing mathematical models such as furnace temperature setting and steel temperature forecasting and placing the mathematical models in a cloud storage module, reading and calculating the mathematical models and realizing remote closed-loop control;
the PC client module: the system comprises a cloud module, a remote model module, a cloud module, a remote display module, a remote control module and a remote control module, wherein the cloud module is used for reading data, remotely displaying and controlling field data, and displaying and remotely setting a result calculated by the remote model module to realize remote display and control;
the mobile client module: the cloud storage module is used for reading data and displaying the data together with a result calculated by the remote model module, and only plays a role in remotely monitoring the field.
Further, the data acquisition module acquires heating furnace end data and rolling mill end data; the heating furnace end data comprises air-fuel ratio, thermocouple temperature, gas flow, air flow, fan frequency, main pipe pressure and flue gas temperature, and are collected through OPC; the rolling mill end data comprise rolling pressure, rolling reduction and tapping temperature, and are collected through Socket; and finally, transmitting the data acquired by the two modules to a cloud storage module together.
Further, the cloud storage module comprises a cloud server, a 5G data collector and a 5G data receiver;
the cloud server: the remote data and the remote mathematical model calculation result collected by the 5G data collector are stored and serve as an intermediary for remote monitoring and control;
the 5G data acquisition unit: the data acquisition module is used for acquiring data of the cloud server;
5G data receiver: the system is used for reading data from the cloud server for the PC client module and the mobile client module, and each terminal device is connected with the receiver to remotely read the field data.
Further, the remote model module comprises an SQL database, a furnace temperature setting model unit and a steel temperature forecasting model unit;
the SQL database comprises: the remote data analysis module is used for storing remote data and model calculation results for remote data analysis and remote data historical query;
the furnace temperature setting model unit: the system is used for establishing a model according to gas flow, air-fuel ratio and furnace temperature to obtain set temperature of each section of the heating furnace, and transmitting the set temperature to a field system in a manual or automatic mode to realize remote automatic steel burning;
the steel temperature forecasting model unit comprises: the system is used for establishing a model according to the tapping signal, the tapping temperature and the furnace temperature, obtaining the temperature of each steel billet which cannot be detected in the furnace and the steel temperature distribution, displaying the temperature and the steel temperature distribution to realize remote detection, and simultaneously comparing the calculation result with the tapping temperature to optimize the furnace temperature setting model;
furthermore, the interface of the PC client module consists of a field first-level interface and a model second-level interface;
the method comprises the steps of carrying out remote monitoring and remote operation on a field first-level interface in a mode of connecting a large screen, establishing a steel temperature forecasting and furnace temperature setting model at a PC client module to obtain a billet heating curve which cannot be detected in a heating furnace and an optimal furnace temperature heating curve when certain specification of billets are burned, and continuously correcting a model calculation value by the model through self-learning to enable the billet tapping temperature to reach a target tapping temperature;
the model secondary interface is used for displaying a model calculated furnace temperature set value, a furnace temperature set curve, a steel temperature heating curve, a steel pushing period, a target tapping temperature, information of each steel in the furnace and temperature distribution of each steel billet along the width direction, and remotely transmitting the furnace temperature set value to a site through the cloud storage module to realize remote closed-loop control.
Further, the mobile client module interface consists of a field data display interface and a coal consumption query interface;
the field data display interface is used for displaying the furnace temperature, the valve opening, the steam pocket data, the gas flow and the air flow of each section, performing pressure early warning on each valve, and reminding people in a mobile phone ringing and vibration mode when the upper limit is exceeded;
and adding a statistical function into the coal consumption query interface, and performing statistics, display and query on the natural gas consumption of each group, the daily natural gas consumption and the steel billet amount and the daily steel tapping amount of each group, so as to obtain the gas consumption of each steel billet, and checking whether the steel billet is abnormal or not at any time and any place on site so as to adjust in time.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the PC and the mobile client are established through the cloud data platform, so that technicians can monitor and control the operating states and various parameters of the production system and field equipment without visiting the field, the personnel cost is saved, the production efficiency is improved, meanwhile, the relation between the steel temperature and the furnace temperature is decoupled at the PC client, the temperature of each steel blank in the heating furnace and the set furnace temperature of each section are obtained, the closed-loop automatic steel burning is realized, the productivity is improved, the production cost is reduced, the threshold value setting is carried out on the sensor at the mobile client, the number of the heated steel blanks and the gas consumption are counted, and the workers are reminded to adjust the field in time.
Drawings
FIG. 1 is a schematic diagram of the modular components of a heating furnace intelligent temperature control PC end and a mobile end remote cloud measurement and control system;
FIG. 2 is a flow chart of a mathematical model in a remote model module;
FIG. 3 is an interface diagram of a mobile client module;
FIG. 4 is an interface diagram of a PC client module;
fig. 5 is a data coding rule diagram of the heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system of the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
The invention provides a heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system, as shown in figure 1, the system comprises a data acquisition module, a cloud storage module, a remote mathematical model module, a PC client module and a mobile client module; the data acquisition module acquires data of the heating furnace end and the rolling mill end, transmits the data to the cloud storage module through the data receiver for storage, is called by the remote model module placed in the cloud storage module, and stores a calculation result. And the data on the cloud storage module is called by the PC end and the mobile end through the data receiver to perform remote monitoring, control, query and the like.
In the data acquisition module, the operating end of the rolling mill transmits data such as a steel billet number, a steel billet tapping temperature, a steel billet length, a steel billet width and a target tapping temperature to the operating end of the heating furnace through Socket communication, and meanwhile, the operating end of the rolling mill is bound with data such as gas flow, air-fuel ratio and the like at the end of the heating furnace and uploads the data to the cloud storage module through OPC by adopting a receiver as a whole. In the data collector and the data receiver, the cloud storage transmits data to the cloud server through the 5G data collector for response speed, and the 5G data receiver is called by the PC client module and the mobile client module.
The cloud storage module is used for performing cloud storage on the data acquired by the data acquisition module and reading the data by the remote equipment.
The remote model module mainly comprises a steel temperature forecasting model and a furnace temperature setting model. The furnace temperature setting model unit is used for establishing a model according to gas flow, air-fuel ratio, furnace temperature and the like to obtain the set temperature of each section of the heating furnace, and transmitting the set temperature to a field system in a manual or automatic mode to realize remote automatic steel burning. And the steel temperature forecasting model unit is used for establishing a model according to the tapping signal, the tapping temperature, the furnace temperature and the like to obtain the temperature of each steel billet which cannot be detected in the furnace and the steel temperature distribution, and displaying the temperature and the steel temperature distribution to realize remote detection. And meanwhile, comparing the calculation result with the tapping temperature, and optimizing a furnace temperature setting model. Meanwhile, the model calculation result is stored in an SQL database of the cloud storage module for the PC client module and the mobile client module to carry out historical query.
The PC client module interface mainly comprises all sensor displays in a field primary interface, set furnace temperature, billet heating curves, furnace temperature set curves, information of each billet in the furnace and the like calculated by a model in a secondary interface, and the PC client module can be connected with a large screen for real-time monitoring and remotely operated to realize closed-loop control.
The interface of the mobile client module mainly comprises a key data display unit, an upper limit value display unit of each sensor, a coal consumption query unit and the like, and mainly displays the gas flow, the air pressure, the air smoke temperature, the soot temperature, the thermocouple detection value, the steam pocket pressure and the liquid level of each section of the heating furnace, and simultaneously carries out pressure early warning on each valve, when the upper limit is exceeded, personnel are reminded in a mobile phone ringing and vibration mode, a statistical function is added into the coal consumption query interface, the natural gas consumption of each group, the daily natural gas consumption of each group, the steel billet quantity of each group and the daily steel tapping quantity are counted, displayed and queried to obtain the gas consumption of each steel billet, whether the site is abnormal or not is checked anytime and anywhere so as to adjust in time, only the monitoring function is played, the working personnel can conveniently check at any time, the production cost is reduced, the labor productivity is improved.
FIG. 2 shows a flow chart of the mathematical model in the remote model module. And establishing a mathematical model for billet forecasting and furnace temperature setting in a remote model module. Fitting the furnace temperature of each section detected by a thermocouple according to a formula (1) to obtain the furnace temperature distribution under the current working condition, calculating a steel billet temperature field according to a formula (2) to obtain the integral temperature distribution of the strip steel so as to obtain the steel billet temperature in the heating furnace, establishing a target function according to the target tapping temperature, adjusting the furnace temperature to enable the steel billet temperature in the heating furnace to approach the target tapping temperature as shown in a formula (3), and finally obtaining the set furnace temperature of each section meeting the rolling requirement.
T i (x)＝a 0 +a 1 x+a 2 x 2 (1)
In the formula
a 0 、a 1 、a 2 -furnace temperature distribution function coefficients;
T i (x) -a furnace temperature;
x-length from the entrance of the furnace.
In the formula
q i-1 -heat flux density of i-1 layer of steel billet
q i+1 -the (i + 1) th layer heat flux density of the steel billet
t-time;
Δ t-time interval;
a, billet unit cell area;
rho-billet density;
c-billet thermal conductivity.
G(x)＝min(T M -T P ) (3)
In the formula
G (x) -an objective function;
T M -a target discharge temperature of the steel slab;
T P -model calculating the billet temperature.
The obtained heating furnace reaches the optimal combustion temperature, and the optimal combustion temperature is transmitted to the on-site heating furnace end through the cloud storage module, so that remote closed-loop control is realized. And the mobile client module displays the field data and sets the threshold of each pipeline sensor at the same time, and counts the number of heated steel billets and the gas consumption according to the steel pushing period. The method comprises the steps of firstly reading data such as billet information, air flow, coal gas flow, furnace temperature of each section, target tapping temperature and the like from a cloud platform, reading the data by a mechanism mathematical module unit, carrying out grid division on the billet along the width and thickness directions, considering convection and radiation and according to a two-dimensional unsteady heat conduction equation
And equation of boundary condition
{ where a is the specific heat capacity, λ is the billet heat conductivity, t is the billet temperature, t f Furnace temperature } establishing two-dimensional billet temperature field model to obtain transverse temperature distribution T of billet d (x) Weighting each grid temperature of the steel billets to obtain a final steel billet temperature, calculating the temperature of each steel billet in the heating furnace according to the different furnace time of each steel billet so as to obtain a steel billet temperature-rising curve in the heating furnace, establishing a target function shown in the step (3) according to the steel-tapping target temperature and the model calculation temperature, calculating the minimum value of G (x) by using Boville, obtaining a better set furnace temperature meeting the rolling requirement, and correcting the set furnace temperature calculated by the model by using an index smoothing method (4) according to big data.
In the formula
T zj+1 -calculating a value according to j +1 times of temperature after self-learning of j billets;
T mj+1 -j + 1 times the model calculated temperature value;
T mj -calculating a furnace temperature value for the jth model;
T sj -actual value of furnace temperature for jth time;
X j -the j-th billet self-learning correction coefficient value;
alpha-smoothing factor.
Figure 3 shows an interface diagram of the mobile client module. The interface of the mobile client module mainly comprises a main interface for displaying the key data on site and a coal consumption query interface, the interface of the mobile client mainly displays, counts and queries the data on site without realizing remote operation, the main interface mainly displays the gas flow, the air pressure, the air smoke temperature, the soot temperature, the thermocouple detection value, the steam pocket pressure and the liquid level of each section of the heating furnace, and simultaneously carries out upper limit setting on the liquid level and the pressure of each pipeline and the steam pocket, and when the actual value exceeds the upper limit value, workers are reminded to process in time in a ringing and vibrating mode. In the coal consumption inquiry interface, the steel burning number of each team, each day and each month is counted according to the steel pushing signals, whether the production efficiency and the yield of each team meet the production plan or not is conveniently checked, meanwhile, the consumption of the coal gas is counted by applying a statistical principle, the coal gas amount required by each steel can be known according to the steel burning number, the adjustment is carried out according to the actual requirement, the coal gas waste is avoided, and the production cost is reduced.
Fig. 4 shows an interface diagram of the PC client module. The interface of the PC client module is composed of a field first-level data display interface and a mathematical model display interface, the field first-level data display interface is mainly used for carrying out remote monitoring and remote operation on the temperature, the gas flow, the air flow, the reversing time, the opening degree of each valve and the like of each section, and voice prompt is carried out when a certain sensor fails. The mathematical model display interface mainly displays set furnace temperature, a billet heating curve, an ideal furnace temperature curve, a steel pushing period, billet information and the like, when intelligent steel burning is clicked on a main page, the furnace temperature value calculated by the model is transmitted to a cloud platform and then transmitted to a field system to realize remote closed-loop control, the billet in the furnace is displayed in the billet tracking interface, when any billet is clicked, the length, width, in-furnace time, current temperature and other information of the billet can be displayed, a worker judges whether the billet temperature accords with the billet rolling of a rolling mill or not by observing the temperature of the billet in the furnace so as to adjust, simultaneously inputs any number of billets, the distribution of the billets along the width direction can be displayed, and the furnace temperature is adjusted according to the temperature difference between the end part and the middle part of the billet.
Fig. 5 shows a data encoding rule diagram of the intelligent temperature control PC end and the remote cloud measurement and control system of the heating furnace. The data volume is larger in the heating furnace, the data point positions required by the cloud platform in cloud storage are very many, the following rules are adopted for ensuring that a large amount of data are stored under the condition of limited data point positions, 3 or more data are converted into binary data and encrypted in a negation mode, the data are connected through a '+' operator and converted into character strings to be stored in a data block established by the PLC, the character strings are stored in a cloud server through a 5G data acquisition device in the cloud storage module, waste of the data point positions of the cloud platform is reduced through the rules, and meanwhile, the data are encrypted to ensure data safety.
The above-mentioned embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solution of the present invention by those skilled in the art should fall within the protection scope defined by the claims of the present invention without departing from the spirit of the present invention.
Claims (6)
1. The utility model provides a heating furnace wisdom control by temperature change PC end and remove remote cloud system of observing and controling which characterized in that: the system comprises a data acquisition module, a cloud storage module, a remote model module, a PC client module and a mobile client module;
the data acquisition module: the system is used for collecting heating furnace end data and rolling mill end data, on one hand, local display and calling are carried out, and on the other hand, the heating furnace end data and the rolling mill end data are uploaded to a cloud storage module for remote measurement and control;
the cloud storage module: the cloud storage module is used for carrying out cloud storage on the data acquired by the data acquisition module and reading the data by the remote equipment;
the remote model module: the intelligent remote steel burning control system is used for automatically and intelligently burning steel in a remote mode, establishing mathematical models such as furnace temperature setting and steel temperature forecasting and placing the mathematical models in a cloud storage module, reading and calculating the mathematical models and realizing remote closed-loop control;
the PC client module: the system comprises a cloud module, a remote model module, a cloud module, a remote display module, a remote control module and a remote control module, wherein the cloud module is used for reading data, remotely displaying and controlling field data, and displaying and remotely setting a result calculated by the remote model module to realize remote display and control;
the mobile client module: the cloud storage module is used for reading data and displaying the data together with a result calculated by the remote model module, and only plays a role in remotely monitoring the field.
2. The heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system of claim 1, wherein: the data acquisition module acquires heating furnace end data and rolling mill end data; the heating furnace end data comprises air-fuel ratio, thermocouple temperature, gas flow, air flow, fan frequency, main pipe pressure and flue gas temperature, and are collected through OPC; the rolling mill end data comprise rolling pressure, rolling reduction and tapping temperature, and are collected through Socket; and finally, transmitting the data acquired by the two modules to a cloud storage module together.
3. The heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system of claim 2, characterized in that: the cloud storage module comprises a cloud server, a 5G data acquisition unit and a 5G data receiver;
the cloud server: the system is used for storing remote data acquired by the 5G data acquisition device and a remote mathematical model calculation result as an intermediary for remote monitoring and control;
the 5G data acquisition unit: the data acquisition module is used for acquiring data of the cloud server;
5G data receiver: the system is used for reading data from the cloud server for the PC client module and the mobile client module, and each terminal device is connected with the receiver to remotely read the field data.
4. The heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system of claim 3, characterized in that: the remote model module comprises an SQL database, a furnace temperature setting model unit and a steel temperature forecasting model unit;
the SQL database comprises: the remote data analysis module is used for storing remote data and model calculation results for remote data analysis and remote data historical query;
the furnace temperature setting model unit: the system is used for establishing a model according to gas flow, air-fuel ratio and furnace temperature to obtain set temperature of each section of the heating furnace, and transmitting the set temperature to a field system in a manual or automatic mode to realize remote automatic steel burning;
the steel temperature forecasting model unit comprises: the method is used for establishing a model according to the tapping signal, the tapping temperature and the furnace temperature, obtaining the temperature of each steel billet which cannot be detected in the furnace and the steel temperature distribution, displaying the temperature and the steel temperature distribution to realize remote detection, and simultaneously comparing the calculation result with the tapping temperature to optimize the furnace temperature setting model.
5. The heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system of claim 4, characterized in that: the interface of the PC client module consists of a field first-level interface and a model second-level interface;
the method comprises the steps of carrying out remote monitoring and remote operation on a primary interface on site by connecting a large screen, establishing a steel temperature forecasting and furnace temperature setting model at a PC client module to obtain a billet heating curve which cannot be detected in a heating furnace and an optimal furnace temperature heating curve when certain specifications of billets are fired, and continuously correcting a model calculation value by the model through self-learning to enable the tapping temperature of the billets to reach a target tapping temperature;
the model secondary interface is used for displaying a model calculated furnace temperature set value, a furnace temperature set curve, a steel temperature heating curve, a steel pushing period, a target tapping temperature, information of each steel in the furnace and temperature distribution of each steel billet along the width direction, and remotely transmitting the furnace temperature set value to a site through the cloud storage module to realize remote closed-loop control.
6. The heating furnace intelligent temperature control PC end and mobile end remote cloud measurement and control system of claim 5, characterized in that: the mobile client module interface consists of a field data display interface and a coal consumption query interface;
the field data display interface is used for displaying the furnace temperature, the valve opening, the steam pocket data, the gas flow and the air flow of each section, performing pressure early warning on each valve, and reminding people in a mobile phone ringing and vibration mode when the upper limit is exceeded;
and adding a statistical function into the coal consumption query interface, and performing statistics, display and query on the natural gas consumption of each group, the daily natural gas consumption and the steel billet amount and the daily steel tapping amount of each group, so as to obtain the gas consumption of each steel billet, and checking whether the steel billet is abnormal or not at any time and any place on site so as to adjust in time.
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| CN202210474430.1A CN115065710B (en) | 2022-04-29 | 2022-04-29 | Intelligent temperature control PC end and mobile end remote cloud measurement and control system of heating furnace |
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