Temperature monitoring system and method for glass smelting furnace

Abstract

The invention discloses a temperature monitoring system and method for a glass smelting furnace, relates to the technical field of temperature monitoring, and solves the technical problem that the quality of a produced product is affected due to the fact that the influence caused by data drift is not eliminated in the prior art. The industrial field data is collected and transmitted to the front-end data box, the front-end data box is matched for the sensor based on the sensor data in the industrial field data, the placement position of the front-end data box is determined according to the preset placement distance, and it is ensured that each sensor can keep stable communication connection with the nearest front-end data box; starting a front-end data box to configure and verify the availability of a communication channel, recording the temperature time corresponding to a temperature sensor of which the sensor type is a thermocouple in the industrial field data, combining the temperature time to obtain temperature fluctuation data, and obtaining a calibration temperature based on the temperature fluctuation data and a preset temperature coefficient, and performing temperature compensation according to the calibration temperature to obtain an actual temperature.

Description

Technical Field

[0001] The present invention belongs to the field of equipment monitoring, relates to sensor technology, and specifically is a temperature monitoring system and method for a glass melting furnace. Background Art

[0002] During the glass manufacturing process, high-temperature treatment of the glass is required. The states of high temperature and low temperature can directly affect the overall quality of the glass. During the manufacturing process, it is necessary to record the temperature changes in the melting furnace at all times to prevent the quality of the glass from being affected by too high or too low temperature.

[0003] The invention patent with the application number CN2024106052963 discloses an intelligent melting temperature monitoring method and system for optical glass. This method monitors the melting monitoring temperature time series information of the melting furnace through a thermocouple, generates a first deviation coefficient from the temperature time series information and the expected time series information, compares the first deviation coefficient with a preset first threshold to obtain a melting constraint condition, analyzes the deviation between the first melting predicted temperature and the melting expected temperature time series information, generates a second deviation coefficient, and compares the first deviation coefficient with the second deviation coefficient to obtain the health status; when obtaining the temperature time series information, since the detection temperature requirements in different areas of the melting furnace are different, a front-end data box can be used to uniformly collect more detection temperatures during temperature monitoring. However, during use, the cable used to connect the sensor and the front-end data box will generate electromagnetic interference, which will lead to data drift, causing the data obtained by the front-end data box to be different from the true value. In the prior art, the temperature information of the melting furnace is directly detected through a thermocouple. Under the influence of data drift, the obtained result is not accurate enough, which will affect the quality of the final produced product.

[0004] The present invention provides a temperature monitoring system and method for a glass melting furnace to solve the above technical problems. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; for this purpose, the present invention proposes a temperature monitoring system and method for a glass melting furnace to solve the technical problem that the quality of the produced product is affected due to the influence of data drift not being eliminated in the prior art.

[0006] To achieve the above object, the first aspect of the present invention provides a temperature monitoring system for a glass melting furnace, including: a data collection module, a channel configuration module, and a cold junction compensation module;

[0007] The data collection module: is used to collect industrial field data through a sensor and transmit it to the front-end data box;

[0008] The channel configuration module: is used to match the corresponding data channel configuration based on the industrial field data;

[0009] Cold end compensation module: used to calibrate the temperature acquisition channel according to the industrial field data to obtain the calibrated temperature; and perform temperature compensation on the temperature of the melting furnace based on the calibrated temperature to obtain the actual temperature.

[0010] Preferably, the matching of the corresponding data channel configuration based on the industrial field data includes:

[0011] Extract the industrial field data; wherein, the industrial field data includes the detected temperatures collected by the temperature sensors distributed in various parts of the glass melting furnace and the sensor data; the sensor data includes the device identifier and the distribution location of the sensor.

[0012] Match the corresponding front-end data box according to the sensor data, enable the communication channel that is compatible with the corresponding sensor input mode of the front-end data box configuration, and verify the availability of the communication channel.

[0013] Preferably, the matching of the corresponding front-end data box according to the sensor data includes:

[0014] Extract the device identifier and the distribution location of the sensor.

[0015] Set the placement distance, and divide the placement position of the front-end data box based on the distribution location of the sensor and the placement distance; wherein, the placement distance is set according to the distance at which normal communication connection can be maintained between the sensor and the front-end data box.

[0016] Taking the distribution location of the sensor as the center and the placement distance as the radius, divide to obtain the connection range; determine whether the front-end data box can establish communication connections with all the sensors within the connection range; if yes, enable the corresponding front-end data box; if not, select the placement positions of other front-end data boxes for verifying the communication connection.

[0017] Preferably, the dividing of the placement position of the front-end data box based on the distribution location of the sensor and the placement distance includes:

[0018] Select each sensor as the center and the placement distance as the radius, and divide to obtain the connection range corresponding to the sensor.

[0019] Set the communication threshold; determine whether the number of sensors within the connection range of the sensor is greater than the communication threshold; if yes, mark the distribution position of the corresponding sensor as the placement position of the front-end data box; if not, mark the distribution position of the corresponding sensor as the non-placement position; wherein, the communication threshold is obtained by subtracting one from the maximum number of sensors that the front-end data box can cover and communicate with.

[0020] Preferably, the enabling of the communication channel that is compatible with the corresponding sensor input mode of the front-end data box configuration and the verification of the availability of the communication channel includes:

[0021] The device identifier for identifying the sensor connected to the front-end data box obtains the sensor type, matches the communication channel corresponding to the sensor type, and changes the pin position in the front-end data box to activate the corresponding communication channel. A calibrated standard device is used to generate a standard input signal, the standard input signal is input into the corresponding communication channel, and the display data of the front-end data box is compared with the standard input signal;

[0022] Determine whether the display data is the same as the standard input signal; if so, mark the corresponding communication channel as an available channel; if not, mark the corresponding communication channel as an unavailable channel.

[0023] Preferably, the calibration of the temperature acquisition channel according to the industrial field data to obtain the calibrated temperature includes:

[0024] Extract the industrial field data; extract the service life of the sensor and the cable length of the connection between the sensor and the front-end data box from the database for the temperature acquisition channel with the sensor type of thermocouple.

[0025] Assign a temperature-time tag to the temperature acquisition channel, and construct a temperature fluctuation graph based on the temperature-time tag and the detected temperature; select the peak temperature and the valley temperature in the acquired temperature fluctuation graph, and combine the coherent peak temperature and valley temperature with the corresponding temperature-time tags to obtain temperature fluctuation data.

[0026] Set the temperature coefficient; mark the difference between the peak temperature and the valley temperature in the temperature fluctuation data as the temperature difference, divide the product of the sum of all temperature differences multiplied by the temperature coefficient by twice the product of the service life and the cable length to obtain the calibrated temperature; among them, the temperature coefficient is set according to the difference range between the peak temperature and the valley temperature.

[0027] Preferably, the temperature compensation for the temperature of the melting furnace based on the calibrated temperature to obtain the actual temperature includes:

[0028] Extract the calibrated temperature; calculate the average time of the time difference between the peak temperature and the valley temperature in the temperature fluctuation data.

[0029] Collect the current detected temperature within the average time through the front-end data box, and calculate the regional average temperature within the current detected temperature. Multiply the regional average temperature by the product of the service life of the sensor and the cable length to obtain the actual temperature actually collected by the first sensor.

[0030] A temperature monitoring method for a glass melting furnace, applied to the above-mentioned temperature monitoring system for a glass melting furnace, is characterized by including:

[0031] Step 1: Collect industrial field data through sensors and transmit it to the front-end data box;

[0032] Step 2: Match the corresponding data channel configuration based on the industrial field data;

[0033] Step 3: Calibrate the temperature acquisition channel according to the industrial field data to obtain the calibrated temperature; perform temperature compensation on the temperature of the smelting furnace based on the calibrated temperature to obtain the actual temperature.

[0034] Compared with the prior art, the beneficial effects of the present invention are:

[0035] 1. The present invention collects industrial field data through sensors and transmits the industrial field data to the front-end data box. According to the sensor data in the industrial field data, the corresponding front-end data box is matched for the sensor, and the placement position of the front-end data box is determined according to the preset placement distance, ensuring that each sensor can maintain a stable communication connection with the nearest front-end data box, reducing the risk of signal loss, centrally managing sensor signals, reducing the number and length of cables, reducing the installation cost and maintenance difficulty, maximizing the use of hardware resources, and avoiding problems of over-configuration or under-configuration; after determining the placement position of the front-end data box, enable the communication channel configured to be compatible with the input mode of the corresponding sensor and verify the availability of the communication channel, ensuring the stability and accuracy of the communication channel, improving the reliability of the entire monitoring system, reasonably allocating communication resources, avoiding unnecessary redundant configurations, and maximizing the use of hardware resources; record the temperature time corresponding to the temperature sensor with the sensor type of thermocouple in the industrial field data, combine the temperature time to obtain temperature fluctuation data, obtain the calibrated temperature based on the temperature fluctuation data and the preset temperature coefficient, and perform temperature compensation according to the calibrated temperature to obtain the actual temperature, significantly improving the accuracy of temperature calibration and compensation, helping to capture the real temperature change trend, reducing the measurement error caused by environmental factors, helping to more accurately control the production process, and improving product quality.

[0036] 2. The present invention selects the corresponding front-end data box through sensor data matching, matches the corresponding communication channel, excludes the possibility of front-end data box failure through standard equipment, verifies the availability of the communication channel, and analyzes the influence of factors on the data drift amplitude according to the temperature fluctuation diagram to obtain the calibrated temperature, effectively eliminating the possibility of front-end data box failure itself, ensuring the reliability at the hardware level, analyzing static factors, and dynamically adjusting the calibration parameters, improving the calibration accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0038] Figure 1 This is the workflow diagram of an embodiment of the present invention.

[0039] Figure 2 This is the system composition diagram of the present invention.

[0040] Figure 3 This is the complete flowchart for matching and corresponding data channel configuration in an embodiment of the present invention. Detailed implementation manners

[0041] Next, the technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0042] Please refer to Figures 1 - 3 , the first aspect embodiment of the present invention provides a temperature monitoring system for a glass melting furnace, including: a data collection module, a channel configuration module, and a cold end compensation module;

[0043] The data collection module: is used to collect industrial field data through sensors and transmit it to the front-end data acquisition box.

[0044] Exemplarily, several multi-type temperature sensors are arranged in multiple areas on the glass melting furnace to collect the detected temperatures in different areas, and the device identifier of each sensor and the distribution position of the sensor in different areas are extracted from the device database; the temperature sensors include thermocouples, infrared thermometers, and fiber optic temperature sensors.

[0045] The channel configuration module: is used to match the corresponding data channel configuration based on the industrial field data.

[0046] Exemplarily, in this embodiment, the placement distance is set to 3 meters. Taking the distribution position of sensor A in the bottom area of the pool as the center and the placement distance as the radius, the connection range of sensor A is divided. In this embodiment, the communication threshold is set to 8. It is judged whether the number of sensors within the connection range of the sensor is greater than the communication threshold. The number of sensors within the connection range of sensor A is 7, indicating that the maximum number of sensors that can be connected by placing the front-end data box at the position of sensor A is 8, while in fact, the upper limit of the number of sensors that the front-end data box can connect is 9. Therefore, placing the front-end data box at the position of sensor A can achieve communication connection and will not exceed its own bearing range. It is judged whether the front-end data box can establish communication connections with the 7 sensors within the connection range of sensor A, and it is detected whether there are corresponding communication protocol interfaces between the communication channels in the front-end data box and the sensors within the connection range. In this embodiment, it is obtained that there are 8 different communication channel interfaces configured in the front-end data box, and 7 sensors within the connection range correspond to six of the communication interfaces in the front-end data box, then the front-end data box placed at the position of sensor A is enabled. Centralized management of sensor signals reduces the number and length of cables, lowers the installation cost and maintenance difficulty, maximizes the use of hardware resources, and avoids problems of over-configuration or under-configuration.

[0047] Identify the device identifiers of the 7 sensors corresponding to the front-end data box, obtain the sensor types of the sensors, number the 7 sensors respectively, and mark them as the first sensor, the second sensor, the third sensor, the fourth sensor, the fifth sensor, the sixth sensor, and the seventh sensor. The first sensor, the second sensor, and the third sensor are thermocouples, the fourth sensor and the fifth sensor are infrared thermometers, and the sixth sensor and the seventh sensor are fiber optic temperature sensors. Among them, the first sensor and the second sensor have the same communication protocol. There are pins configured in the front-end data box, and by changing the position of the pins, the open communication channels in the front-end data box can be changed. When the electrical signals of the corresponding channels are detected, the corresponding communication channels are opened, and the electrical signals are converted into digital signals.

[0048] Cold-end compensation module: used to calibrate the temperature acquisition channel according to the industrial field data to obtain the calibrated temperature; perform temperature compensation on the temperature of the melting furnace based on the calibrated temperature to obtain the actual temperature.

[0049] Exemplarily, extract the service life of the sensors in the temperature acquisition channels with the sensor type of thermocouple from the device database. In this embodiment, the sensor types of the first sensor, the second sensor, and the third sensor are thermocouples. Record the detected temperature and the corresponding temperature time in the first sensor, and assign the temperature time as the temperature time tag to the corresponding detected temperature. With the temperature time as the abscissa and the detected temperature as the ordinate, construct the temperature fluctuation graph corresponding to the first sensor. Select the peak temperature and the valley temperature in the temperature fluctuation graph of the first sensor. Mark the temperature time corresponding to the peak temperature as the high temperature time, and mark the temperature time corresponding to the valley temperature as the low temperature time. Combine the peak temperature and the high temperature time to obtain the high temperature data, and combine the valley temperature and the low temperature time to obtain the low temperature data. Combine a pair of high temperature data and low temperature data with consecutive temperature times to obtain the temperature fluctuation data, and number the temperature fluctuation data in chronological order, numbered 1, 2, 3... n respectively. Calculate the temperature difference between the peak temperature and the valley temperature in the temperature fluctuation data, and extract the cable length of the data cable connecting the first sensor and the front-end data box from the device database. Calculate the calibration temperature JZW of the communication channel corresponding to the first sensor through the formula JZW = (∑WCZ × WDX) / (SYN × DCD × 2); where ∑WCZ represents the sum of all temperature differences, WDX represents the temperature coefficient, and the temperature coefficient is set according to the size of the temperature fluctuation range corresponding to different regions. The larger the temperature fluctuation range, the smaller the temperature coefficient. SYN represents the service life of the first sensor, and DCD represents the length of the data cable connecting the first sensor and the front-end data box; which helps to capture the real temperature change trend and reduces the measurement error caused by environmental factors.

[0050] Calculate the average value of the difference between the high temperature time and the low temperature time, collect and obtain the current detected temperature of the current continuous average time of the first sensor of the melting furnace, calculate the regional average temperature of the current detected temperature, and multiply the regional average temperature by the product of the service life of the sensor and the cable length to obtain the actual temperature actually collected by the first sensor.

[0051] A temperature monitoring method for a glass melting furnace, which is applied to the above-mentioned temperature monitoring system for a glass melting furnace, and is characterized by including:

[0052] Step 1: Collect industrial field data through sensors and transmit it to the front-end data box;

[0053] Step 2: Match the corresponding data channel configuration based on the industrial field data;

[0054] Step 3: Calibrate the temperature acquisition channel according to the industrial field data to obtain the calibration temperature; perform temperature compensation on the temperature of the melting furnace based on the calibration temperature to obtain the actual temperature.

[0055] In a second aspect of the present invention, different from the above embodiments, a temperature monitoring system for a glass melting furnace further includes verifying the availability of a communication channel after enabling a communication channel that is compatible with the corresponding sensor input mode in a front-end data box.

[0056] Specifically, verifying the availability of the communication channel includes:

[0057] Connect a calibrated standard device to the front-end data box and generate standard input signals corresponding to six communication channels. Input the standard input signals into the corresponding communication channels, and obtain display data in the display module of the front-end data box. Compare the display data with the standard input signals to determine whether the display data is the same as the standard input signals. The standard device is directly connected to the front-end data box, and the influence of the data connection cable on data transmission can be ignored, and it can directly display the display data shown after the front-end data box receives it. If the display data is the same as the standard input signals, it indicates that the communication channel corresponding to the front-end data box can receive data intact, and mark the corresponding communication channel as an available channel. If the display data is different from the standard input signals, it indicates that the communication channel of the front-end data box cannot receive data intact due to a fault during data reception. If used directly, it will affect the subsequent judgment of other influencing factors, and the front-end data box needs to be replaced or repaired, and the corresponding communication channel is marked as an unavailable channel. This simplifies the configuration process and also ensures that each communication channel can correctly correspond to the required input mode.

[0058] It should be noted that in actual operation, the sensor is connected to the front-end data box through a data cable, and the data cable will generate electromagnetic interference, which will cause data drift in the front-end data box, and the received temperature data will gradually deviate from the true data. By directly connecting the standard device to the front-end data box, the possible problems in the communication channels of the front-end data box itself are first excluded, ensuring that the only factor affecting the data is the data cable, and effectively excluding the possibility of faults in the front-end data box itself.

[0059] Some of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is obtained by software simulation of a large amount of collected data to obtain a formula that is closest to the actual situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0060] The working principle of the present invention:

[0061] The present invention collects and transmits industrial field data to a front-end data box, matches sensors with the front-end data box based on the sensor data in the industrial field data, determines the placement position of the front-end data box in combination with a preset placement distance, enables the front-end data box to configure a corresponding communication channel, and verifies the availability of the communication channel; assigns a corresponding temperature time to the temperature acquisition channel, constructs a temperature fluctuation graph based on the temperature time and the detected temperature, obtains temperature fluctuation data by combining corresponding temperature time combinations, calculates a calibrated temperature based on the temperature fluctuation data, and performs temperature compensation on the smelting temperature according to the calibrated temperature to obtain the actual temperature.

[0062] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A temperature monitoring system for a glass melting furnace, characterized in that: include: Data collection module, channel configuration module and cold end compensation module; Data collection module: used to collect industrial field data through sensors and transmit it to the front-end data box; Channel configuration module: used to match the corresponding data channel configuration based on industrial field data; Cold end compensation module: used to calibrate the temperature acquisition channel according to the industrial field data to obtain the calibration temperature; based on the calibration temperature, the temperature of the melting furnace is compensated to obtain the actual temperature.

2. A temperature monitoring system for a glass melting furnace according to claim 1, characterized in that: The data channel configuration corresponding to the industrial field data matching includes: Extracting industrial field data; wherein the industrial field data includes the detected temperature collected by temperature sensors distributed in various parts of the glass melting furnace, the device identifier and distribution location of the sensor; Match the corresponding front-end data box according to the sensor data, enable the front-end data box to configure the communication channel that is connected to the corresponding sensor input mode and verify the availability of the communication channel.

3. A temperature monitoring system for a glass melting furnace according to claim 2, characterized in that: The matching of the corresponding front-end data box according to the sensor data includes: Extract the device identifier and distribution location of the sensor; Setting a placement distance, and obtaining a placement position of the front-end data box based on the distribution position of the sensor and the placement distance; wherein the placement distance is set according to the distance between the sensor and the front-end data box that can maintain a normal communication connection; The connection range is obtained by taking the distribution position of the sensor as the center and the placement distance as the radius; judging whether the front-end data box can establish a communication connection with all sensors within the connection range; if yes, enabling the corresponding front-end data box; if not, selecting the placement position of other front-end data boxes to verify the communication connection.

4. A temperature monitoring system for a glass melting furnace according to claim 3, characterized in that: The placement of the front-end data box is obtained based on the distribution position and placement distance of the sensor, including: A1: Extract the distribution location and placement distance of sensors; divide the connection range with the distribution location of all sensors as the center and the placement distance as the radius; A2: Set the communication threshold n; determine whether the number of sensors within the connection range of all sensors is greater than the communication threshold; if yes, mark the corresponding sensor as a dense sensor, mark the corresponding connection range as a dense range, and jump to A3; if no, mark the distribution position of the corresponding sensor as an empty position; the communication threshold n is obtained by subtracting one from the maximum number of sensors that the front-end data box can cover and achieve communication; A3: Obtain the sensor distance between the dense sensor and all other sensors in the dense range to obtain the sensor connection distance Li, sort the connection distances from small to large to obtain the distance sorting, mark the first n sensors in the distance sorting as the best connected sensors, sum the connection distances between the dense sensor and all the best connected sensors to obtain the distribution distance; sort the distribution distances of the dense sensors from small to large to obtain the density sorting; A4: Select the dense sensor distribution location with the highest density ranking as the placement location of the front-end data box. A4: When the priority connection sensor of a dense sensor is repeated with the priority connection sensor of other dense sensors, the two dense sensors are marked as a first-level dense sensor and a second-level dense sensor respectively, the first-level sensor distance corresponding to the n+1th sensor in the distance sorting corresponding to the first-level dense sensor is extracted, and the second-level sensor distance corresponding to the n+1th sensor in the distance sorting corresponding to the second-level dense sensor is extracted, the sensor distance between the first-level dense sensor and the priority connection sensor is marked as a first-level repeated distance, and the sensor distance between the second-level dense sensor and the priority connection sensor is marked as a second-level repeated distance; determine whether the difference between the first-level sensor distance and the first-level repeated distance is greater than the difference between the second-level sensor distance and the second-level repeated distance; if yes, assign the priority connection sensor to the first-level sensor for connection; if not, assign the priority connection sensor to the second-level sensor for connection.

5. A temperature monitoring system for a glass melting furnace according to claim 2, characterized in that: The enabling of the front-end data box to configure a communication channel that communicates with the corresponding sensor input mode and verifying the availability of the communication channel includes: Identify the device identifier of the sensor connected to the front-end data box to obtain the sensor type, match the communication channel corresponding to the sensor type, and change the pin position in the front-end data box to start the corresponding communication channel, use a calibrated standard device to generate a standard input signal, input the standard input signal into the corresponding communication channel and compare the display data of the front-end data box with the standard input signal; It is determined whether the displayed data is the same as the standard input signal; if yes, the corresponding communication channel is marked as an available channel; if no, the corresponding communication channel is marked as an unavailable channel.

6. A temperature monitoring system for a glass melting furnace according to claim 1, characterized in that: The step of calibrating the temperature acquisition channel according to the industrial field data to obtain the calibration temperature includes: Extract industrial field data; extract the service life of the sensor of the temperature acquisition channel whose sensor type is thermocouple and the length of the cable connecting the sensor and the front-end data box from the database; Assign a temperature time label to the temperature acquisition channel, and construct a temperature fluctuation graph based on the temperature time label and the detected temperature; select the peak temperature and valley temperature in the acquired temperature fluctuation graph, and combine the consecutive peak temperature and valley temperature with the corresponding temperature time label to obtain the temperature fluctuation data; Set the temperature coefficient; mark the difference between the peak temperature and the valley temperature in the temperature fluctuation data as the temperature difference, sum all the temperature differences and multiply the product of the temperature coefficient and divide it by twice the product of the service life and the cable length to obtain the calibration temperature; wherein the temperature coefficient is set according to the difference range between the peak temperature and the valley temperature.

7. A temperature monitoring system for a glass melting furnace according to claim 1, characterized in that: The method of performing temperature compensation on the temperature of the smelting furnace based on the calibration temperature to obtain the actual temperature includes: Extract the calibration temperature; calculate the average time of the time difference between the peak temperature and the valley temperature in the temperature fluctuation data; The front-end data box collects the current detection temperature within the average time, and calculates the regional average temperature within the current detection temperature. The regional average temperature is multiplied by the product of the sensor's service life and the cable length to obtain the actual temperature actually collected by sensor No.

1.

8. A temperature monitoring method for a glass melting furnace, applied to a temperature monitoring system for a glass melting furnace according to any one of claims 1 to 7, characterized in that: include: Step 1: Collect industrial field data through sensors and transmit them to the front-end data box; Step 2: Match the corresponding data channel configuration based on industrial field data; Step 3: Calibrate the temperature acquisition channel according to the industrial field data to obtain the calibration temperature; perform temperature compensation on the temperature of the smelting furnace based on the calibration temperature to obtain the actual temperature.

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