Smelting furnace bottom temperature on-line measurement and real-time monitoring system

Abstract

The utility model relates to the technical field of industrial automation and monitoring. The smelting furnace bottom temperature on-line measurement real-time monitoring system comprises a temperature acquisition layer, a communication transmission layer and an early warning monitoring layer, and the temperature acquisition layer, the communication transmission layer and the early warning monitoring layer are connected in sequence. Wherein the temperature acquisition layer is used for acquiring a furnace bottom temperature signal of a target smelting furnace; the communication transmission layer is used for transmitting the furnace bottom temperature signal to the early warning monitoring layer; and the early warning monitoring layer is used for receiving, storing and displaying the temperature signal and performing early warning according to a preset condition, so that the problems that a traditional furnace bottom temperature measurement mode is time-consuming, the labor intensity of operators is high, a certain measurement data error exists, and manual temperature measurement is not timely are solved.

Description

TECHNICAL FIELD

[0001] The utility model relates to industrial automation and monitoring technical field, specifically, relate to a smelting furnace bottom temperature on -line measurement real -time monitoring system. BACKGROUND

[0002] In the aluminum alloy smelting production process, need to add raw and auxiliary materials and cold charge to the smelting furnace, and carry out the slagging operation, long -term slagging and adding cold charge can cause the smelting furnace lining damage, and the smelting furnace lining damage seriously can lead to the occurrence of the aluminum leakage accident, to avoid the occurrence of the leakage accident, need smelting operation personnel to measure the bottom temperature regularly, ensure that the bottom temperature is in the reasonable range.

[0003] The traditional bottom temperature measurement is the mode of periodic measurement by manual. Since the bottom belongs to the limited space, the smelting operation personnel needs to handle the limited space operation ticket every day, and measures the temperature at the bottom every 2 hours by holding the hand-held temperature measuring gun, and the manual temperature measurement is not only time -consuming, but also has certain measurement data error, and the manual temperature measurement is not timely. UTILITY MODEL CONTENT

[0004] The utility model aims at providing a smelting furnace bottom temperature on -line measurement real -time monitoring system, which aims at solving the problems of the traditional bottom temperature measurement mode, such as time -consuming, large labor intensity of operation personnel, certain measurement data error, and untimely manual temperature measurement.

[0005] The utility model realizes the following technical scheme:

[0006] A smelting furnace bottom temperature on -line measurement real -time monitoring system, comprising: temperature acquisition layer, communication transmission layer and early warning monitoring layer, the temperature acquisition layer, the communication transmission layer and the early warning monitoring layer are sequentially connected.

[0007] Wherein, the temperature acquisition layer is used to gather the bottom temperature signal of target smelting furnace, the communication transmission layer is used to transmit the bottom temperature signal to the early warning monitoring layer, and the early warning monitoring layer is used to receive, store and display the temperature signal and early warning according to the preset condition.

[0008] Optionally, the temperature acquisition layer includes temperature probe and temperature measurement compensation wire, the temperature probe is arranged at the bottom of target smelting furnace, and the two ends of the temperature measurement compensation wire are connected with the temperature probe and the communication transmission layer respectively.

[0009] Optionally, the temperature acquisition layer further includes a calibration module, and the calibration module is connected with the temperature probe and the communication transmission layer respectively, and the calibration module is used for temperature calibration of the temperature probe.

[0010] Optionally, one end of the temperature measurement compensation wire is the temperature probe, and the other end of the temperature measurement compensation wire is connected with the communication transmission layer.

[0011] Optionally, the communication transmission layer comprises a temperature recorder, a gateway, a wireless router and a wireless network card, the temperature recorder is connected with the gateway, the gateway is connected with the wireless router, and the wireless network card is connected with the wireless router and the early warning monitoring layer respectively.

[0012] Optionally, the communication transmission layer is provided with a main communication path, a backup communication path and a redundant communication module, the main communication path and the backup communication path are connected with the communication transmission layer and the early warning monitoring layer, and the redundant communication module is connected with the main communication path and the backup communication path respectively; wherein, the redundant communication module is used for automatically switching to the backup communication path when the main communication path fails.

[0013] Optionally, the temperature recorder is a paperless temperature recorder.

[0014] Optionally, the early warning monitoring layer comprises an upper computer, a server and a warning module, the upper computer is connected with the server, the server is connected with the communication transmission layer, the warning module is built-in in the upper computer, and a data acquisition and analysis program is installed in the upper computer; wherein, the warning module is used for temperature abnormality alarm; and the data acquisition and analysis program is used for recording, storing and analyzing temperature data.

[0015] Optionally, a historical data analysis module is built-in in the upper computer; wherein, the historical data analysis module is used for mining and analyzing historical temperature data, predicting temperature change trend, and providing decision support for production scheduling and maintenance.

[0016] Optionally, a remote access module is further included, and the remote access module is connected with the early warning monitoring layer; wherein, the remote access module is used for remotely accessing system data, real-time monitoring the bottom temperature of the target smelting furnace, and receiving early warning information.

[0017] The technical scheme of the utility model has at least the following advantages and beneficial effects:

[0018] Real-time monitoring and high-precision measurement: through the high-precision temperature sensor of the temperature acquisition layer, the temperature signal of the smelting furnace bottom can be obtained in real time and accurately, which provides reliable data support for the accurate control of the production process, helps to optimize the smelting process, and improves the product quality and production efficiency.

[0019] Efficient data transmission: The communication transmission layer adopts efficient and stable communication technology to ensure that the furnace bottom temperature signal can be transmitted in real time and without delay to the early warning and monitoring layer, which can quickly respond to temperature abnormalities and provide strong protection for production safety.

[0020] Intelligent early warning and monitoring: The early warning and monitoring layer has strong data processing capability, can receive, store and display temperature signals, and can perform intelligent early warning according to preset temperature thresholds or conditions. When the furnace bottom temperature exceeds the safety range, the system can automatically trigger the alarm mechanism to remind the operator to take timely measures, effectively preventing the occurrence of safety accidents.

[0021] Improve production safety and automation level: By integrating temperature collection, communication transmission and early warning and monitoring functions, comprehensive, real-time and intelligent monitoring of the furnace bottom temperature of the smelting furnace is achieved, which not only significantly improves the safety of the production process, but also promotes the improvement of the production automation level and reduces the frequency and difficulty of manual intervention.

[0022] Easy to expand and maintain: The system adopts modular design, and the layers are connected through standardized interfaces, which is convenient for subsequent function expansion and system upgrade; at the same time, the maintenance of the system is relatively simple, which reduces the operation and maintenance cost. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 The structure diagram of the smelting furnace bottom temperature online measurement real-time monitoring system provided by the embodiment 1 of the utility model;

[0024] Figure 2 The structure diagram of the smelting furnace bottom temperature online measurement real-time monitoring system provided by the embodiment 2 of the utility model;

[0025] Figure 3 The structure diagram of the smelting furnace bottom temperature online measurement real-time monitoring system provided by the embodiment 3 of the utility model;

[0026] Figure 4 The working process diagram of the smelting furnace bottom temperature online measurement real-time monitoring system provided by the embodiment 3 of the utility model;

[0027] Icon: 1-temperature collection layer, 101-temperature probe, 102-temperature compensation wire, 103-calibration module, 2-communication transmission layer, 201-temperature recorder, 202-gateway, 203-wireless router, 204-wireless network card, 205-redundant communication module, 206-main communication path, 207-backup communication path, 3-early warning and monitoring module, 301-upper computer, 302-server, 303-early warning module, 304-historical data analysis module, 4-remote access module. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical scheme and advantages of the embodiments of the utility model clearer, the technical scheme in the embodiments of the utility model will be described clearly and completely below in combination with the drawings in the embodiments of the utility model. Obviously, the described embodiments are part of the embodiments of the utility model, rather than all the embodiments. The components of the embodiments of the utility model described and shown in the drawings here can be arranged and designed in various different configurations.

[0029] Embodiment 1

[0030] With reference to Figure 1 A smelting furnace bottom temperature on-line measurement real-time monitoring system, comprising: a temperature acquisition layer 1, a communication transmission layer 2 and a early warning monitoring layer 3, the temperature acquisition layer 1, the communication transmission layer 2 and the early warning monitoring layer 3 are connected in turn; wherein the temperature acquisition layer 1 is used for collecting the bottom temperature signal of the target smelting furnace; the communication transmission layer 2 is used for transmitting the bottom temperature signal to the early warning monitoring layer 3; the early warning monitoring layer 3 is used for receiving, storing, displaying the temperature signal, and warning according to the preset condition.

[0031] In this embodiment, the temperature acquisition layer 1 selects a high-temperature durable thermocouple or thermal resistance as a temperature sensor, which can accurately monitor the high-temperature environment of the target smelting furnace bottom and convert the temperature analog signal into corresponding electrical signal; the temperature sensor can be fixed in the key position of the target smelting furnace bottom by a protective sleeve made of high-temperature resistant and corrosion resistant material, to ensure that the bottom temperature can be truly reflected; a data acquisition module, such as a microprocessor-based data collector, is set to receive electrical signals from the temperature sensor and convert them into digital signals for subsequent processing and transmission.

[0032] In this embodiment, the transmission protocol of the communication transmission layer 2 adopts industrial Ethernet, RS-485 or wireless communication (such as Wi-Fi, LoRa) transmission protocol, and selects the appropriate communication mode according to the field environment; it is configured with wired or wireless transmission equipment, such as wired network switch, wireless router, LoRa gateway, etc., to ensure that data can be transmitted stably; in order to prevent data from being illegally intercepted or tampered during transmission, data encryption technology such as AES encryption algorithm is adopted to ensure data security.

[0033] In this embodiment, the early warning monitoring layer 3 can set a central server or an industrial computer as a data processing center, receive temperature data from the communication transmission layer, and store the temperature data in a database for historical data query and analysis; the temperature curve of the target smelting furnace bottom, the current temperature value, and the historical data query function are displayed in real time through the man-machine interface, so as to facilitate the operator to monitor; the temperature threshold value is set, when the temperature exceeds or is lower than the set threshold value, the early warning mechanism is automatically triggered, the relevant personnel are timely notified to take measures through the sound-light-electricity alarm, short message notification, email reminder and other ways.

[0034] Embodiment 2

[0035] Based on embodiment 1, referring to Figure 2 In this embodiment, the temperature collection layer 1 includes a temperature probe 101 and a temperature measurement compensation wire 102, the temperature probe 101 is arranged at the bottom of the target smelting furnace, and the two ends of the temperature measurement compensation wire 102 are connected with the temperature probe 101 and the communication transmission layer 2 respectively. At the bottom of the target smelting furnace, a suitable position is selected, and the temperature probe 101 is fixed by using a stainless steel bolt to ensure that the temperature probe 101 is in close contact with the bottom of the target smelting furnace, so as to ensure the accuracy of measurement.

[0036] In this embodiment, one end of the temperature measurement compensation wire 102 is integrated with the temperature probe 101, that is, one end of the temperature measurement compensation wire 102 is used as a temperature measurement probe to replace the traditional temperature sensor, which can overcome the interference of the electromagnetic stirrer on the temperature probe, and the other end of the temperature measurement compensation wire 102 is connected with the communication transmission layer 2.

[0037] In this embodiment, the communication transmission layer 2 includes a temperature recorder 201, a gateway 202, a wireless router 203 and a wireless network card 204, the temperature recorder 201 is connected with the gateway 202, the gateway 202 is connected with the wireless router 203, and the wireless network card 202 is connected with the wireless router 203 and the early warning monitoring layer 3 respectively. The temperature recorder 201 can be a paperless temperature recorder. The temperature recorder 201 is connected to a 220V power supply to ensure that the instrument works normally, and relevant parameters such as sampling frequency, communication protocol are set on the temperature recorder 201; the RS485 communication interface of the gateway 202 is connected with the corresponding interface of the temperature recorder 201 by using an Ethernet network cable, the wireless router 203 is connected to the Ethernet interface of the gateway 202 through a network cable to ensure that the network communication is smooth, and the IP address of the wireless router 203 is set to ensure that the IP address of the wireless router 203 and the IP address of the temperature recorder 201 are in the same network segment.

[0038] The early warning monitoring layer 3 in the embodiment comprises a host computer 301, a server 302 and an early warning module 303. The host computer 301 is connected with the server 302, the server 302 is connected with the communication transmission layer 2, the early warning module 303 is built-in in the host computer 301, and the host computer 301 is installed with a data acquisition and analysis program. The early warning module 303 is used for temperature abnormality alarm, and the data acquisition and analysis program is used for recording, storing and analyzing temperature data. A wireless network card 204 is installed on the host computer 301 and is ensured to work normally, the IP address of the host computer 301 is set, the IP address of the host computer 301 and the IP address of the wireless router 203 are ensured to be in the same network segment, an OPC server is installed on the host computer 301 and is used for realizing the data conversion function of the host computer and the field measurement device. The data acquisition and analysis software is installed on the host computer 301 and is used for recording, storing and analyzing temperature data, and the related parameters of the data acquisition and analysis software are configured, such as the data acquisition period, the data storage path and the like.

[0039] In this embodiment, the host computer 301 is built-in with a historical data analysis module 304; wherein the historical data analysis module 304 is used to mine and analyze historical temperature data, predict temperature change trend, and provide decision support for production scheduling and maintenance. The historical data analysis module 304 includes: a data preprocessing submodule, a trend analysis submodule, an anomaly detection submodule, a pattern recognition submodule, and a decision support submodule; wherein the data preprocessing submodule is responsible for cleaning and normalizing historical temperature data, including removing outliers, filling missing values, data smoothing processing, etc., to ensure the accuracy and consistency of the data; the trend analysis submodule analyzes the trend of historical temperature data through time series analysis techniques such as ARIMA model, exponential smoothing method, etc., to predict the temperature change trend in the future period; the anomaly detection submodule automatically identifies abnormal temperature points in historical data based on machine learning algorithms (such as Isolation Forest, DBSCAN, etc.) or statistical methods (such as Z-score, IQR, etc.), providing a basis for fault warning; the pattern recognition submodule discovers potential patterns and rules in temperature data through clustering analysis (such as K-means, hierarchical clustering, etc.) or association rule mining (such as Apriori algorithm), such as periodic changes, temperature response under specific conditions, etc.; the decision support submodule generates visual reports and suggestions based on the above analysis results, providing decision support for production scheduling, equipment maintenance, process optimization, etc. The workflow is: obtain historical temperature data including timestamp, temperature value, etc. from the server 302, use the data preprocessing submodule to clean and normalize the data to ensure data quality; call the trend analysis submodule, select the appropriate time series analysis model, fit and predict the historical temperature data, output the temperature prediction value and confidence interval in the future period; use the anomaly detection submodule to monitor the historical temperature data in real time, identify abnormal temperature points, and trigger the warning mechanism when an abnormal temperature is detected, notify the relevant personnel to check and handle; through the pattern recognition submodule, cluster analysis and association rule mining are performed on the historical temperature data to identify potential patterns and rules in the temperature data, such as periodic changes, temperature response under specific conditions, etc.; according to the results of trend analysis, anomaly detection and pattern recognition, generate visual reports and suggestions, and provide the reports and suggestions to the production scheduling, equipment maintenance, etc. department to support decision-making.

[0040] In this embodiment, the temperature probe 101 converts the furnace bottom temperature signal into an electric signal, which is transmitted to the temperature recorder 201 through the temperature compensation lead 102. The temperature recorder 201 processes the received temperature signal and converts it into a digital signal. The temperature recorder 201 transmits the digital signal to the gateway 202 through the RS485 communication interface. The gateway 202 converts the RS485 signal into a TCP / IP signal and transmits the signal to the upper computer 301 through the wireless router 203. The upper computer 301 receives and stores the temperature data from the gateway 202. The data acquisition and analysis software processes and analyzes the temperature data, draws the temperature curve, and displays it on the upper computer screen. The warning module 303 alarms according to the preset alarm condition (such as temperature exceeding the set threshold) and reminds the operator to take corresponding measures. After the system is installed, functional tests are performed to ensure that each component works normally and data transmission is accurate and reliable. Performance tests are performed to test the data acquisition period, data transmission speed, and other performance indicators of the system to ensure that the system meets the design requirements. According to the test results, the system is optimized and adjusted as necessary, such as adjusting the data acquisition period and optimizing the data transmission protocol. The system is applied to the online measurement and real-time monitoring of the furnace bottom temperature of the target smelting furnace. Real-time acquisition, transmission, and warning of the temperature are realized. According to actual needs, the alarm conditions and data acquisition period of the system are adjusted to meet production requirements.

[0041] Example 3

[0042] Based on Examples 1 and 2, referring to Figure 3 、 Figure 4 In this embodiment, the temperature acquisition layer 1 also includes a calibration module 103, which is connected with the temperature probe 101 and the communication transmission layer 2 respectively. The calibration module 103 is used for temperature calibration of the temperature probe 101.

[0043] In this embodiment, the calibration module 103 can include a calibration source, a comparison circuit and a user interface; wherein the calibration source provides a known and stable temperature environment for comparison with the output of the temperature probe 101, which can be a high-precision thermostat capable of setting and maintaining a specific temperature value; the comparison circuit is used to compare the output signal of the temperature probe 101 with the standard temperature signal provided by the calibration source, and the comparison process can be realized by analog circuit or digital signal processing to determine the error of the temperature probe 101; according to the result of the comparison circuit, the calibration coefficient or offset of the temperature probe 101 is calculated, and the relevant parameters in the temperature acquisition layer 1 are updated to correct the measurement error; the user interface allows the operator to set the calibration parameters, start the calibration process, view the calibration results, etc., and the user interface can be integrated in the local controller of the temperature acquisition layer 1, or operated remotely through the remote access module 4. The calibration module 103 is connected to the temperature probe 101 through a special connection line in order to calibrate it when needed. This connection line can be a hard-wired connection or implemented through wireless means. The calibration module 103 can transmit the calibration results and related status information to the early warning and monitoring layer 3 through the communication transmission layer 2, so that the operator can view these information on the remote access module 4 and take corresponding measures. In the calibration process, if the error of the temperature probe 101 exceeds the preset threshold, the calibration module 103 can trigger the early warning mechanism through the early warning and monitoring layer 3 to remind the operator to further check and handle.

[0044] In this embodiment, the communication transmission layer 2 is provided with a redundant communication module 205, a main communication path 206 and a backup communication path 207, the main communication path 206 and the backup communication path 207 are connected with the communication transmission layer 2 and the early warning and monitoring layer 3, and the redundant communication module 205 is connected with the main communication path 206 and the backup communication path 207 respectively; wherein the redundant communication module 205 is used to automatically switch to the backup communication path 207 when the main communication path 206 fails.

[0045] In this embodiment, the main communication path 206 can adopt a wired Ethernet connection and be connected to the gateway 202 through a wired network switch to ensure high-speed and stable data transmission; the backup communication path 207 can adopt a wireless communication mode such as 4G / 5G, Wi-Fi or LoRa, etc., and the most suitable wireless communication technology is selected according to the on-site environment and signal coverage. The wireless communication equipment (such as wireless router, 4G / 5G module) should be configured with redundant power supply to ensure normal work in the event of power failure. The redundant communication module 205 supports heartbeat detection, link test and other mechanisms to monitor the health status of the communication link in real time. The main communication path 206 and the backup communication path 207 adopt the same communication protocol and data format to ensure that data does not need to be re-parsed or converted during switching; the communication protocol supports data encryption and integrity check to ensure the security and accuracy of data during transmission. When the redundant communication module 205 detects that the main communication path 206 fails (such as network delay, data packet loss, etc.), it immediately starts the switching mechanism to transfer the data transmission task to the backup communication path 207, and the switching process should be as fast and smooth as possible to reduce the possibility of data loss or delay, at the same time, immediately notify the early warning monitoring layer 3 after switching to update the communication path information. Once the main communication path 206 resumes normal work, the redundant communication module 205 decides whether to switch back to the main communication path 206 according to the preset strategy (such as manual triggering, automatic detection, etc.); when switching back to the main communication path 206, ensure the continuity and consistency of data to avoid data duplication or loss

[0046] In this embodiment, it also includes a remote access module 4 connected with the early warning monitoring layer 3; wherein the remote access module 4 is used for remotely accessing system data, monitoring the bottom temperature of the target smelting furnace in real time, and receiving early warning information.

[0047] In this embodiment, the remote access module 4 provides a secure remote access interface, allowing authorized users to remotely access the system through a web browser or a dedicated client. A web interface based on HTML, CSS and JavaScript is developed, and users can remotely access system data through a web browser to monitor the bottom temperature of the target smelting furnace in real time; RESTful or SOAP API interfaces are provided to allow third-party applications or systems to integrate the data and functions of the remote access module; VNC or RDP remote desktop protocols are used to allow authorized users to remotely log in and operate the server.

[0048] In this embodiment, the remote access module 4 can receive and display temperature data from the early warning monitoring layer 3 in real time, draw temperature curves, and provide historical data query functions. Through technologies such as WebSocket or AJAX, real-time data communication with the early warning monitoring layer 3 is achieved, temperature curves and historical data charts are drawn using chart libraries (such as ECharts, Highcharts), query functions based on time range, temperature range, and other conditions are provided, and user-defined query conditions are supported.

[0049] In this embodiment, the remote access module 4 can receive early warning information from the early warning monitoring layer 3 and promptly notify users through various channels. Early warning emails are sent using the SMTP protocol, containing early warning information, timestamps, and links, early warning SMS messages are sent through an SMS gateway, suitable for fast notification in emergency situations, voice warnings are sent through telephone lines or VoIP services using TTS (text-to-speech) technology, early warning notifications are displayed on the Web interface, and confirmation and shutdown functions are provided.

[0050] The above is only a preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application can be variously changed and modified. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A real-time monitoring system for online measurement of furnace bottom temperature in a smelting furnace, characterized in that, include: The temperature acquisition layer (1), the communication transmission layer (2), and the early warning monitoring layer (3) are connected in sequence. The temperature acquisition layer (1) includes a temperature probe (101) and a temperature compensation wire (102). The temperature probe (101) is installed at the bottom of the target smelting furnace, and the two ends of the temperature compensation wire (102) are connected to the temperature probe (101) and the communication transmission layer (2) respectively. The temperature acquisition layer (1) further includes a calibration module (103), which is connected to the temperature probe (101) and the communication transmission layer (2) respectively; the calibration module (103) is used to calibrate the temperature probe (101); One end of the temperature compensation wire (102) is integrated with the temperature probe (101), and the other end of the temperature compensation wire (102) is connected to the communication transmission layer (2). The temperature acquisition layer (1) is used to acquire the bottom temperature signal of the target smelting furnace; the communication transmission layer (2) is used to transmit the bottom temperature signal to the early warning monitoring layer (3); the early warning monitoring layer (3) is used to receive, store and display the temperature signal, and issue an early warning according to preset conditions.

2. The online measurement and real-time monitoring system for the furnace bottom temperature of a smelting furnace as described in claim 1, characterized in that, The communication transmission layer (2) includes: a temperature recorder (201), a gateway (202), a wireless router (203), and a wireless network card (204). The temperature recorder (201) is connected to the gateway (202), the gateway (202) is connected to the wireless router (203), and the wireless network card (204) is connected to the wireless router (203) and the early warning monitoring layer (3) respectively.

3. The online measurement and real-time monitoring system for the furnace bottom temperature of a smelting furnace as described in claim 2, characterized in that, The communication transmission layer (2) is provided with a redundant communication module (205), a main communication path (206), and a backup communication path (207). The main communication path (206) and the backup communication path (207) are both connected to the communication transmission layer (2) and the early warning monitoring layer (3). The redundant communication module (205) is connected to the main communication path (206) and the backup communication path (207) respectively. The redundant communication module (205) is used to automatically switch to the backup communication path (207) when the main communication path (206) fails.

4. The online measurement and real-time monitoring system for the furnace bottom temperature of a smelting furnace as described in claim 2, characterized in that, The temperature recorder (201) is a paperless temperature recorder.

5. The online measurement and real-time monitoring system for the furnace bottom temperature of a smelting furnace as described in claim 1, characterized in that, The early warning monitoring layer (3) includes: a host computer (301), a server (302), and an early warning module (303). The host computer (301) is connected to the server (302), and the server (302) is connected to the communication transmission layer (2). The early warning module (303) is built into the host computer (301), and the host computer (301) is equipped with a data acquisition and analysis program. The early warning module (303) is used for temperature abnormality alarms, and the data acquisition and analysis program is used for recording, storing, and analyzing temperature data.

6. The online measurement and real-time monitoring system for the furnace bottom temperature of a smelting furnace as described in claim 5, characterized in that, The host computer (301) has a built-in historical data analysis module (304); wherein, the historical data analysis module (304) is used to mine and analyze historical temperature data, predict temperature change trends, and provide decision support for production scheduling and maintenance.

7. The online measurement and real-time monitoring system for the furnace bottom temperature of a smelting furnace as described in any one of claims 1-6, characterized in that, It also includes a remote access module (4), which is connected to the early warning monitoring layer (3); wherein, the remote access module (4) is used to remotely access system data, monitor the bottom temperature of the target smelting furnace in real time, and receive early warning information.

Images