Slab continuous casting machine crystallizer heat flow trend monitoring method, device, equipment and storage medium

Abstract

The application discloses a slab continuous caster crystallizer heat flow trend monitoring method, device, equipment and storage medium, relates to the metallurgical automation and process control technical field, and the slab continuous caster crystallizer heat flow trend monitoring method includes: obtaining the monitoring data of slab continuous caster crystallizer;According to the monitoring data, the wide edge heat flow data and the narrow edge heat flow data are calculated;The wide edge heat flow data and the narrow edge heat flow data are transmitted to WINCC monitoring system;Trend generation instruction is sent to the WINCC monitoring system, so that the WINCC monitoring system generates and shows heat flow trend according to the wide edge heat flow data and the narrow edge heat flow data.The application can monitor the heat flow data of the wide edge and the narrow edge of the slab continuous caster crystallizer in real time and present heat flow trend, to support crystallizer stable and smooth production.

Description

Technical Field

[0001] This application relates to the field of metallurgical automation and process control technology, and in particular to a method, device, equipment and storage medium for monitoring the heat flow trend of the crystallizer in a slab continuous casting machine. Background Technology

[0002] The slab continuous casting machine's crystallizer is the first stage in which molten steel solidifies into a slab. The heat flux density between the copper plate and the molten steel directly determines the thickness uniformity and surface quality of the initial slab shell. When the heat flux on the wide or narrow side is continuously offset, the local shell becomes too thin, which will induce adhesion, longitudinal cracks, or even steel leakage. With the continuous increase in high casting speed and the proportion of high-grade steel, the process window is narrowing sharply. It is urgent to quantify and continuously visualize the core physical quantity of "heat flux" in real time on site so that operators can identify abnormalities within seconds and adjust cooling or casting speed in advance to ensure the smooth operation of the crystallizer.

[0003] Steel mills both domestically and internationally typically embed multiple rows of thermocouples within the copper plates of the crystallizer. Temperature points are collected at fixed scanning cycles by a basic automation-level PLC (Programmable Logic Controller) or DCS (Distributed Control System). The solidification heat transfer model is then called offline by a secondary computer to convert the temperature into average heat flux density, which is then written into a database. The data is then periodically exported manually and used to plot the heat flux trend curves of the wide and narrow sides in Excel. Meanwhile, the HMI (Human-Machine Interface) only retains a single-point temperature over-limit alarm. When the temperature exceeds the empirical threshold, a red alarm prompt will pop up, and the operator will decide whether to reduce the casting speed or check the cooling water circuit based on this.

[0004] However, offline model calculations take several minutes, making it impossible to capture second-level heat flux spikes caused by sudden changes in the properties of the protective slag or instantaneous fluctuations in cooling water. The original thermocouple temperature and heat flux curves reside in different systems, forcing operators to react passively only after an alarm occurs, lacking continuous curves to predict the direction of heat flux drift. The cumbersome Excel plotting process and delayed data updates result in the heat flux of the wide and narrow sides being "invisible, inaccurate, and unadjustable." The original system's PLC scanning cycle and memory limitations make it difficult to directly embed real-time heat flux algorithms. Upgrading by adding a large number of floating-point operations and trend caches can easily exceed the CPU load, keeping the heat flux monitoring function at the offline analysis level and preventing it from being integrated into primary control. Therefore, how to monitor the heat flux data of the wide and narrow sides of the slab continuous casting machine's crystallizer in real time and present heat flux trends to support stable crystallizer production has become an urgent problem to be solved. Summary of the Invention

[0005] The purpose of this application is to provide a method, device, equipment and storage medium for monitoring the heat flow trend of the crystallizer in a slab continuous casting machine, aiming to solve the technical problem of how to monitor the heat flow data of the wide and narrow sides of the crystallizer in real time and present the heat flow trend to support the stable production of the crystallizer.

[0006] To achieve the above objectives, this application proposes a method for monitoring the heat flow trend of the crystallizer in a slab continuous casting machine, the method comprising:

[0007] Obtain monitoring data of the slab continuous casting machine crystallizer;

[0008] Calculate the wide-side heat flow data and the narrow-side heat flow data based on the monitoring data;

[0009] The wide-side heat flow data and the narrow-side heat flow data are transmitted to the WINCC monitoring system;

[0010] A trend generation command is sent to the WINCC monitoring system so that the WINCC monitoring system generates and displays a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data.

[0011] In one embodiment, the step of calculating the wide-side heat flux data and the narrow-side heat flux data based on the monitoring data includes:

[0012] Extract the first water flow rate data and the first temperature data corresponding to the wide side of the crystallizer, and the second water flow rate data and the second temperature data corresponding to the narrow side of the crystallizer from the monitoring data;

[0013] The wide-side temperature difference is calculated based on the first temperature data, and the narrow-side temperature difference is calculated based on the second temperature data.

[0014] The heat flow data of the wide side is calculated based on the wide side temperature difference, the first water flow rate data, and the first preset coefficient.

[0015] The narrow-side heat flow data is calculated based on the narrow-side temperature difference, the second water flow rate data, and the second preset coefficient.

[0016] In one embodiment, the first preset coefficient includes a preset correction coefficient, a preset specific heat capacity coefficient, and a preset conversion coefficient;

[0017] The step of calculating the heat flow data of the wide side based on the temperature difference of the wide side, the first water flow rate data, and the first preset coefficient includes:

[0018] Multiply the wide-side temperature difference value by the preset correction coefficient to obtain the first intermediate calculation result;

[0019] Multiply the first intermediate calculation result by the first water flow data to obtain the second intermediate calculation result;

[0020] Multiply the second intermediate calculation result by the preset specific heat capacity coefficient to obtain the third intermediate calculation result;

[0021] Divide the third intermediate calculation result by the preset conversion factor to obtain the wide-side heat flow data.

[0022] In one embodiment, after the step of sending a trend generation command to the WINCC monitoring system so that the WINCC monitoring system generates and displays a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data, the method further includes:

[0023] Receive heat flow trend data corresponding to the heat flow trend fed back by the WINCC monitoring system;

[0024] When the heat flow trend data exceeds the preset normal range, a prompt instruction is sent to the WINCC monitoring system so that the WINCC monitoring system displays an abnormal prompt message.

[0025] In one embodiment, the step of transmitting the wide-side heat flux data and the narrow-side heat flux data to the WINCC monitoring system includes:

[0026] Configure communication parameters with the WINCC monitoring system, including preset communication protocol, preset port number and preset data transmission rate;

[0027] The format of the wide-side heat flux data and the narrow-side heat flux data is converted and data identifiers are added. The data identifiers include wide-side heat flux data identifiers and narrow-side heat flux data identifiers.

[0028] Based on the communication parameters, a bidirectional communication link is established with the WINCC monitoring system;

[0029] The wide-side heat flow data and the narrow-side heat flow data, which contain the data identifier, are sent to the WINCC monitoring system via the bidirectional communication link.

[0030] In one embodiment, the step of sending a trend generation command to the WINCC monitoring system, so that the WINCC monitoring system generates and displays a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data, includes:

[0031] Send a data verification command to the WINCC monitoring system so that the WINCC monitoring system can verify the wide-side heat flow data and the narrow-side heat flow data, and return the verification result;

[0032] When the verification result is successful, a trend generation instruction is generated based on the preset trend chart type, preset data refresh frequency, and preset coordinate axis range.

[0033] The index information of the wide-side heat flow data and the narrow-side heat flow data, along with the trend generation instruction, are sent to the WINCC monitoring system so that the WINCC monitoring system can generate and display the heat flow trend.

[0034] In one embodiment, the step of acquiring monitoring data of the slab continuous casting machine crystallizer includes:

[0035] Establish communication connections with various sensors in the slab continuous casting machine crystallizer;

[0036] After the communication connection is established, the system receives water flow data, temperature data, temperature difference data, and pressure data collected by the sensor.

[0037] The water flow data, temperature data, temperature difference data, and pressure data are filtered and standardized to obtain monitoring data.

[0038] Furthermore, to achieve the above objectives, this application also proposes a device for monitoring the heat flow trend of a slab continuous casting machine crystallizer, the device comprising:

[0039] The data acquisition module is used to acquire monitoring data of the slab continuous casting machine's crystallizer;

[0040] The heat flux calculation module is used to calculate the wide-side heat flux data and the narrow-side heat flux data based on the monitoring data;

[0041] The data transmission module is used to transmit the wide-side heat flow data and the narrow-side heat flow data to the WINCC monitoring system;

[0042] The trend generation and display module is used to send trend generation instructions to the WINCC monitoring system, so that the WINCC monitoring system can generate and display the heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data.

[0043] In addition, to achieve the above objectives, this application also proposes a slab continuous casting machine crystallizer heat flow trend monitoring device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the slab continuous casting machine crystallizer heat flow trend monitoring method as described above.

[0044] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the slab continuous casting machine crystallizer heat flow trend monitoring method described above.

[0045] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the slab continuous casting machine crystallizer heat flow trend monitoring method described above.

[0046] One or more technical solutions proposed in this application have at least the following technical effects:

[0047] First, monitoring data from the slab continuous casting machine's crystallizer is acquired. Based on the processed monitoring data, the heat flow data for the wide and narrow sides of the crystallizer are calculated separately, quantifying the heat exchange status of these two key areas. Then, the calculated heat flow data for both sides is transmitted to the WINCC monitoring system, providing a data foundation for visualization. Finally, a trend generation command is sent to the WINCC monitoring system, driving it to automatically generate and display a heat flow trend graph based on the received heat flow data, enabling operators to intuitively grasp the dynamic changes in heat flow. This application can monitor the heat flow data for both the wide and narrow sides of the slab continuous casting machine's crystallizer in real time and present the heat flow trend to support stable and smooth crystallizer production. Attached Figure Description

[0048] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0049] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 This is a schematic flowchart of an embodiment of the method for monitoring the heat flow trend of the crystallizer in a slab continuous casting machine according to this application.

[0051] Figure 2 This is a schematic flowchart of Embodiment 2 of the method for monitoring the heat flow trend of the crystallizer in a slab continuous casting machine according to this application.

[0052] Figure 3 This is a schematic diagram of the module structure of the slab continuous casting machine crystallizer heat flow trend monitoring device according to an embodiment of this application;

[0053] Figure 4 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the slab continuous casting machine crystallizer heat flow trend monitoring method in the embodiments of this application.

[0054] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0055] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0056] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0057] It should be noted that the executing entity of this application embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of realizing the above functions, such as a Siemens S7-1500 control system. The following description uses the Siemens S7-1500 control system as an example to illustrate this embodiment and the subsequent embodiments.

[0058] Based on this, embodiments of this application provide a method for monitoring the heat flow trend of a slab continuous casting machine crystallizer, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the method for monitoring the heat flow trend of the slab continuous casting machine crystallizer according to this application.

[0059] In this embodiment, the method for monitoring the heat flow trend of the slab continuous casting machine crystallizer includes steps S10 to S40:

[0060] Step S10: Obtain monitoring data of the slab continuous casting machine crystallizer.

[0061] It should be noted that the slab continuous casting machine's crystallizer is a copper water-cooled mold used in the slab continuous casting process to initially solidify high-temperature molten steel into a slab shell of a certain thickness. Its structure typically includes two wide sides and two narrow sides, and it is a core component in the continuous casting machine that directly affects the surface quality of the cast slab and production stability. Monitoring data refers to real-time process parameters reflecting the cooling state and heat exchange intensity of the crystallizer, collected by thermocouples or heat flow sensors installed on the wide and narrow sides of the crystallizer. These parameters mainly include the temperature of each zone, the temperature difference between the inlet and outlet of the cooling water, and the flow rate, used to calculate or characterize heat flux density. This data can be used to assess whether the solidification behavior of the molten steel within the crystallizer is normal.

[0062] As an example, the steps for acquiring monitoring data of the slab continuous casting machine crystallizer include: establishing a communication connection with various sensors of the slab continuous casting machine crystallizer; after the communication connection is established, receiving water flow data, temperature data, temperature difference data, and pressure data collected by the sensors; and filtering and standardizing the water flow data, temperature data, temperature difference data, and pressure data to obtain monitoring data.

[0063] First, the Siemens S7-1500 control system establishes real-time communication connections with various sensors deployed on the slab continuous casting machine's crystallizer via industrial communication protocols, ensuring stable reading of raw signals from the field. Second, the system continuously receives water flow data, temperature data, temperature difference data, and pressure data uploaded by these sensors, and sequentially performs filtering processing on this raw data (e.g., using moving average filtering or first-order low-pass filtering algorithms) to remove abnormal noise caused by electromagnetic interference or signal jitter. Then, it performs standardization processing (e.g., normalizing data of different dimensions to 0–100% or unifying them to the heat flux density unit kW / m³). 2 This process eliminates dimensional differences and improves data consistency. Finally, the processed data is integrated into structured monitoring data for subsequent heat flow calculations and trend analysis. This is done to ensure the accuracy and stability of the input data and to lay the foundation for a reliable representation of the heat flow trends on the wide and narrow sides of the crystallizer.

[0064] Step S20: Calculate the wide-side heat flow data and the narrow-side heat flow data based on the monitoring data.

[0065] It should be noted that wide-edge heat flow data refers to the numerical values ​​reflecting the heat exchange intensity between the wide-edge copper plate and the high-temperature molten steel, obtained through a heat flow calculation model based on water flow, temperature, temperature difference, and pressure data collected in the wide-edge region of the slab continuous casting machine's crystallizer. This data is used to characterize the heat conduction state during the solidification process of the wide-edge slab shell. Narrow-edge heat flow data refers to the numerical values ​​reflecting the heat exchange intensity between the narrow-edge copper plate and the high-temperature molten steel, obtained through a heat flow calculation model based on water flow, temperature, temperature difference, and pressure data collected in the narrow-edge region of the slab continuous casting machine's crystallizer. This data is also used to characterize the heat conduction state during the solidification process of the narrow-edge slab shell.

[0066] Understandably, the following steps are taken: First, extract the water flow rate, temperature, temperature difference, and pressure data corresponding to the wide side of the crystallizer, as well as the corresponding data for the narrow side, from the monitoring data. Then, substitute the cooling water flow rate and inlet / outlet temperature difference of the wide side into the heat flow calculation formula (e.g., Q = c·ρ·F·ΔT, where Q is the heat flow rate, c is the specific heat capacity, ρ is the density, F is the flow rate, and ΔT is the temperature difference). Combine this with the heat transfer area of ​​the copper plate and the correction coefficient to calculate the heat flow data for the wide side. At the same time, perform the same heat flow calculation process on the corresponding parameters of the narrow side to obtain the heat flow data for the narrow side.

[0067] Step S30: Transmit the wide-side heat flow data and the narrow-side heat flow data to the WINCC monitoring system.

[0068] It should be noted that the WINCC (Windows Control Center) monitoring system refers to the HMI and Supervisory Control and Data Acquisition (SCADA) software system developed by Siemens for industrial automation. In this embodiment, the WINCC monitoring system runs on the operator station and is used to receive, display, and record wide-side and narrow-side heat flow data from the Siemens S7-1500 control system. It presents the heat flow status of the crystallizer in real time in the form of trend charts, numerical tables, etc., for operators to monitor and analyze.

[0069] As an example, the step of transmitting the wide-side heat flux data and the narrow-side heat flux data to the WINCC monitoring system includes: configuring communication parameters with the WINCC monitoring system, the communication parameters including a preset communication protocol, a preset port number, and a preset data transmission rate; converting the format of the wide-side heat flux data and the narrow-side heat flux data and adding data identifiers, the data identifiers including a wide-side heat flux data identifier and a narrow-side heat flux data identifier; establishing a bidirectional communication link with the WINCC monitoring system according to the communication parameters; and sending the wide-side heat flux data and the narrow-side heat flux data with the data identifiers to the WINCC monitoring system through the bidirectional communication link.

[0070] The preset communication protocol refers to the industrial communication standard (e.g., S7 communication protocol or PROFINET protocol) agreed upon between the Siemens S7-1500 control system and the WINCC monitoring system. This standardizes the data exchange format, timing, and error handling mechanisms, ensuring both parties can correctly parse the data sent to each other. The preset port number is the network port number specified in the communication configuration for data interaction between the WINCC monitoring system and the S7-1500 controller. This port number must be consistent across both systems to ensure a successful communication connection. The preset data transmission rate is the rate parameter (in bps or kB / s) set during data communication to match the processing capabilities of the control and monitoring systems, preventing data loss or communication blockage due to rate mismatch. The wide-edge heat flux data identifier is a unique label or field (e.g., the string "WideFace_HeatFlux" or a specific variable address) appended to or embedded within the wide-edge heat flux data. It clearly indicates that the data originates from the wide-edge area of ​​the crystallizer, facilitating identification, classification, and display by the WINCC monitoring system. Narrow-Face heat flux data identifier refers to a unique label or field (e.g., the string "NarrowFace_HeatFlux" or a specific variable address) appended to or embedded within the narrow-face heat flux data. This clearly indicates that the data originates from the narrow-face area of ​​the crystallizer, facilitating the WINCC monitoring system's differentiation, processing, and correct mapping to the corresponding trend chart or monitoring screen. A bidirectional communication link refers to a communication channel established between the Siemens S7-1500 control system and the WINCC monitoring system, simultaneously supporting data upload and command issuance. It allows heat flux data to be sent from the PLC to WINCC, and also allows WINCC to send acknowledgments, requests, or control commands to the PLC, thus enabling interactive data communication.

[0071] First, the Siemens S7-1500 control system configures the communication parameters with the WINCC monitoring system in its program, specifically setting the preset communication protocol, preset port number, and preset data transmission rate to ensure compatibility and stability between the two systems. Then, the system converts the calculated wide-side and narrow-side heat flux data into a format recognizable by the WINCC monitoring system, adding corresponding wide-side and narrow-side heat flux data identifiers to each data set to ensure accurate data source differentiation by WINCC. Next, based on the aforementioned communication parameters, the control system actively establishes a bidirectional communication link with the WINCC monitoring system via industrial Ethernet, supporting data upload and status confirmation. Finally, through this bidirectional communication link, the system sends the identified wide-side and narrow-side heat flux data to the WINCC monitoring system in real time according to a set cycle or trigger condition for trend display and storage.

[0072] Step S40: Send a trend generation command to the WINCC monitoring system so that the WINCC monitoring system can generate and display a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data.

[0073] It should be noted that the trend generation command refers to a control command or trigger signal (e.g., Boolean variable setting, function call, or structured message) sent by the Siemens S7-1500 control system to the WINCC monitoring system. This command notifies the WINCC monitoring system to initiate the plotting and updating of the heat flow trend chart, ensuring that it dynamically updates the displayed content based on the latest received wide-side and narrow-side heat flow data. The heat flow trend refers to the wide-side and narrow-side heat flow data curves plotted and updated in real-time on the WINCC monitoring system's HMI, with the time axis as the horizontal axis and the heat flow value as the vertical axis. These curves visually reflect the dynamic process of heat flow changes over time in the wide and narrow-side regions of the crystallizer, facilitating operators' identification of abnormal fluctuations, assessment of solidification status, and support for smooth production decisions.

[0074] As an example, after the step of sending a trend generation instruction to the WINCC monitoring system so that the WINCC monitoring system generates and displays a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data, the method further includes: receiving heat flow trend data corresponding to the heat flow trend fed back by the WINCC monitoring system; and when the heat flow trend data exceeds a preset normal range, sending a prompt instruction to the WINCC monitoring system so that the WINCC monitoring system displays an abnormal prompt message.

[0075] Heat flow trend data refers to the structured data set generated and internally stored by the WINCC monitoring system based on time series after receiving wide-side and narrow-side heat flow data. This data describes the heat flow change process and includes information such as the wide-side and narrow-side heat flow values ​​and their rate of change at each time point, used to subsequently determine whether the heat flow status is normal. The preset normal range refers to the allowable fluctuation range of wide-side and narrow-side heat flow data set during the system configuration phase based on process experience or historical steady-state production data. This range serves as a benchmark threshold for judging whether the current heat flow trend is abnormal. Abnormal alert information refers to the visual information displayed on the HMI by WINCC to alert operators when the heat flow trend data exceeds the preset normal range, triggered by the Siemens S7-1500 control system and after sending an alert command to the WINCC monitoring system. This information includes, but is not limited to, text alarms (e.g., "Wide-side heat flow abnormal"), color highlighting (e.g., trend curve turns red), pop-up prompts, or audible alarms.

[0076] As an example, the step of sending a trend generation command to the WINCC monitoring system to enable the WINCC monitoring system to generate and display a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data includes: sending a data verification command to the WINCC monitoring system to enable the WINCC monitoring system to verify the wide-side heat flow data and the narrow-side heat flow data, and providing feedback on the verification result; when the verification result is successful, generating a trend generation command based on a preset trend chart type, a preset data refresh frequency, and a preset coordinate axis range; and sending the index information of the wide-side heat flow data and the narrow-side heat flow data, as well as the trend generation command, to the WINCC monitoring system to enable the WINCC monitoring system to generate and display a heat flow trend.

[0077] The data verification command is a control command sent by the Siemens S7-1500 control system to the WINCC monitoring system to trigger a data integrity and validity check. Its content includes the identifiers and values ​​of the wide-side and narrow-side heat flux data to be verified, aiming to ensure that the data received by WINCC is not lost, misaligned, or formatted incorrectly. The verification result is the judgment information returned by the WINCC monitoring system after receiving the data verification command and performing verification operations on the wide-side and narrow-side heat flux data (e.g., checking if the data is empty, exceeds a physically reasonable range, or conforms to a preset data structure). This result is either "verification passed" or "verification failed," used to determine whether to continue the trend chart generation process. The preset trend chart type, preset data refresh frequency, and preset axis range refer to three display parameters that are preset during the system configuration phase. Among them, the preset trend chart type refers to the presentation format of the heat flow trend on the WINCC interface (e.g., line chart, real-time scrolling trend chart, etc.); the preset data refresh frequency refers to the time interval for updating the trend chart data; and the preset axis range refers to the display range of the vertical axis (heat flow value) and horizontal axis (time) of the trend chart. These parameters together determine the visualization effect and response characteristics of the heat flow trend.

[0078] The Siemens S7-1500 control system first sends a data verification command to the WINCC monitoring system. This command contains the identifiers and values ​​of the transmitted wide-side heat flux data and narrow-side heat flux data, triggering the WINCC monitoring system to perform integrity and validity verification on these two types of data and return the verification result. When the received verification result is "verification passed", the control system generates a structured trend generation command based on the pre-configured preset trend chart type, preset data refresh frequency, and preset coordinate axis range. Subsequently, the control system sends this trend generation command, along with the index information (e.g., variable address or array subscript) of the wide-side and narrow-side heat flux data in the data buffer, to the WINCC monitoring system to drive it to call the corresponding data and generate, refresh, and display the wide-side and narrow-side heat flux trend charts according to the specified parameters.

[0079] This embodiment provides a method for monitoring the heat flow trend of the slab continuous casting machine's crystallizer. First, monitoring data of the slab continuous casting machine's crystallizer is acquired. Based on the processed monitoring data, the heat flow data of the wide side and narrow side of the crystallizer are calculated separately, quantifying the heat exchange state of these two key areas. Then, the calculated heat flow data of the wide side and narrow side is transmitted to the WINCC monitoring system, providing a data foundation for visualization. Finally, a trend generation command is sent to the WINCC monitoring system, driving it to automatically generate and display a heat flow trend graph based on the received heat flow data, enabling operators to intuitively grasp the dynamic changes in heat flow. This embodiment can monitor the heat flow data of the wide and narrow sides of the slab continuous casting machine's crystallizer in real time and present the heat flow trend to support stable and smooth crystallizer production.

[0080] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in Embodiment 1 above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 , Figure 2 This is a flowchart illustrating the second embodiment of the slab continuous casting machine crystallizer heat flow trend monitoring method of this application. Step S20 of the slab continuous casting machine crystallizer heat flow trend monitoring method includes steps S21 to S24:

[0081] Step S21: Extract the first water flow rate data and the first temperature data corresponding to the wide side of the crystallizer, and the second water flow rate data and the second temperature data corresponding to the narrow side of the crystallizer from the monitoring data.

[0082] It should be noted that the wide edge of the crystallizer refers to the two large copper plate areas in the crystallizer of a slab continuous casting machine that correspond to the wide face of the slab. These areas primarily handle the heat dissipation during the solidification of molten steel along the wide face of the slab, making them one of the areas with the most concentrated heat exchange and the most critical heat flow monitoring. The first water flow rate data refers to the cooling water flow rate value corresponding to the cooling circuit of the wide edge of the crystallizer, extracted from the monitoring data, used to characterize the amount of water flowing through the cooling channels of the copper plates in the wide edge. The first temperature data refers to the cooling water temperature value corresponding to the cooling circuit of the wide edge of the crystallizer, extracted from the monitoring data, typically including the inlet temperature, outlet temperature, or their temperature difference, used to reflect the heat exchange intensity in the wide edge area.

[0083] The narrow edge of the crystallizer refers to the two smaller copper plate areas in the crystallizer of a slab continuous casting machine that correspond to the narrow face of the slab. These areas are used to control the formation of the slab shell in the thickness direction, and their heat flow status is crucial for preventing bulging and corner cracks. The second water flow rate data refers to the cooling water flow rate value corresponding to the narrow edge cooling circuit of the crystallizer, extracted from the monitoring data, used to characterize the amount of water flowing through the narrow edge copper plate cooling channel. The second temperature data refers to the cooling water temperature value corresponding to the narrow edge cooling circuit of the crystallizer, extracted from the monitoring data, typically including the inlet temperature, outlet temperature, or their temperature difference, used to reflect the heat exchange intensity in the narrow edge region.

[0084] Understandably, firstly, based on the acquired and standardized monitoring data, the water flow and temperature signals belonging to the wide-side cooling circuit of the crystallizer are located according to the preset variable addresses or data tags, and are used as the first water flow data and the first temperature data, respectively. At the same time, from the same monitoring dataset, based on the variable addresses or data tags corresponding to the narrow-side cooling circuit, the water flow and temperature signals belonging to the narrow side of the crystallizer are filtered out and used as the second water flow data and the second temperature data, respectively, to ensure that the data sources of the wide side and the narrow side are independent and accurately correspond to each other when performing subsequent heat flow calculations.

[0085] Step S22: Calculate the wide-side temperature difference based on the first temperature data, and calculate the narrow-side temperature difference based on the second temperature data.

[0086] Understandably, firstly, the Siemens S7-1500 control system reads the inlet and outlet temperatures of the cooling water in the wide-side cooling circuit of the crystallizer from the extracted first temperature data, according to preset variable addresses. Then, it subtracts the inlet temperature from the outlet temperature to obtain the wide-side temperature difference, which reflects the amount of heat carried away by the cooling water per unit time in the wide-side region. Next, the system obtains the inlet and outlet temperatures of the narrow-side cooling circuit from the second temperature data in the same way, according to the corresponding variable addresses. Finally, it calculates the narrow-side temperature difference by subtracting the inlet temperature from the outlet temperature.

[0087] Step S23: Calculate the heat flow data of the wide side based on the wide side temperature difference, the first water flow data, and the first preset coefficient.

[0088] It should be noted that the first preset coefficient refers to the process parameters used in the wide-side heat flow calculation formula to convert the temperature difference and water flow rate into heat flow values. These parameters include the combination coefficient of physical parameters such as the specific heat capacity and density of water. This coefficient is preset according to the physical characteristics of the crystallizer cooling system and is used to accurately calculate the heat exchange intensity of the wide-side region.

[0089] As an example, the first preset coefficient includes a preset correction coefficient, a preset specific heat capacity coefficient, and a preset conversion coefficient; the step of calculating the wide-side heat flow data based on the wide-side temperature difference, the first water flow rate data, and the first preset coefficient includes: multiplying the wide-side temperature difference by the preset correction coefficient to obtain a first intermediate calculation result; multiplying the first intermediate calculation result by the first water flow rate data to obtain a second intermediate calculation result; multiplying the second intermediate calculation result by the preset specific heat capacity coefficient to obtain a third intermediate calculation result; and dividing the third intermediate calculation result by the preset conversion coefficient to obtain the wide-side heat flow data.

[0090] Preset correction factors are process parameters used in heat flux calculations to compensate for the effects of sensor measurement errors, uneven water flow distribution, or equipment aging. These factors are determined based on engineering experience or historical data. Preset specific heat capacity coefficients are thermophysical property parameters of water, representing the amount of heat required to raise the temperature of a unit mass of water by 1 degree Celsius (unit: kJ / (kg·℃)). In heat flux calculations, they are used to convert temperature changes into actual heat energy, reflecting the cooling water's ability to absorb heat, and are fundamental physical parameters in the heat flux calculation model. Preset conversion factors are conversion parameters required to convert heat flux calculation results into standard engineering units. These factors are used to convert the original calculation results from basic units to more practical heat flux density units (such as kW / m³). 2 This ensures that the final heat flow data meets industry standards and the usage habits of process engineers.

[0091] The first intermediate calculation result refers to the intermediate value obtained by multiplying the temperature difference across the wide side by a preset correction coefficient. This value has already undergone process compensation or error correction (e.g., considering sensor measurement errors, uneven water flow distribution, etc.) to improve the accuracy of subsequent heat flux calculations. The second intermediate calculation result refers to the intermediate value obtained by multiplying the first intermediate calculation result by the first water flow rate data. This value reflects the total amount of heat passing through the wide-side cooling loop per unit time. The third intermediate calculation result refers to the intermediate value obtained by multiplying the second intermediate calculation result by a preset specific heat capacity coefficient. This value already includes the thermophysical properties of water, further improving the accuracy of heat flux calculations.

[0092] Step S24: Calculate the narrow-side heat flow data based on the narrow-side temperature difference, the second water flow data, and the second preset coefficient.

[0093] It should be noted that the second preset coefficient refers to the combination of process parameters used in the narrow-side heat flow calculation formula to convert the temperature difference and water flow rate into heat flow values. It includes the preset correction coefficient, preset specific heat capacity coefficient and preset conversion coefficient for the narrow-side region. This coefficient is preset according to the physical characteristics and process requirements of the crystallizer narrow-side cooling system and is used to accurately calculate the heat exchange intensity of the narrow-side region. Compared with the first preset coefficient used in the wide-side heat flow calculation, its value may be specifically adjusted according to the structural characteristics and heat exchange characteristics of the narrow-side region to ensure the accuracy of the narrow-side heat flow data.

[0094] Understandably, the Siemens S7-1500 control system first multiplies the narrow-edge temperature difference by a preset correction factor in the second preset coefficient to obtain a corrected temperature difference for the narrow-edge region, used to compensate for potential sensor measurement errors in the narrow-edge region. Next, it multiplies the corrected temperature difference by the second water flow rate data to calculate the total heat exchange in the narrow-edge region. This result is then multiplied by the preset specific heat capacity coefficient in the second preset coefficient to convert it to standard thermal energy units. Finally, the result is divided by the preset conversion factor in the second preset coefficient to obtain the narrow-edge heat flow data, expressed in kW / m³. 2 The heat flux density of the narrow edge region is expressed in units of 1. It is used to accurately reflect the heat exchange intensity between the narrow edge copper plate and the molten steel, because the narrow edge region is crucial to prevent bulging and corner cracks in the cast billet. Accurate heat flux calculation helps to achieve real-time monitoring of the solidification state of the narrow edge.

[0095] This embodiment first extracts the first water flow rate and first temperature data corresponding to the wide side of the crystallizer, and the second water flow rate and second temperature data corresponding to the narrow side of the crystallizer from the monitoring data. The temperature difference of the wide side is calculated based on the first temperature data, and the temperature difference of the narrow side is calculated based on the second temperature data. By performing a difference calculation on the inlet and outlet temperatures of the crystallizer cooling water, a temperature difference parameter reflecting the actual heat exchange intensity is obtained, providing key input for heat flow calculation. Then, the heat flow data of the wide side is calculated based on the temperature difference of the wide side, the first water flow rate data, and a first preset coefficient. By combining the temperature difference, flow rate, and process coefficient, the heat exchange intensity of the wide side region is accurately quantified, improving the accuracy of heat flow calculation. Finally, the heat flow data of the narrow side is calculated based on the temperature difference of the narrow side, the second water flow rate data, and a second preset coefficient. The heat flow value of the narrow side region is calculated using the same method, achieving targeted monitoring of the special narrow side region of the crystallizer, thereby providing reliable data support for stable and smooth crystallizer production.

[0096] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the method for monitoring the heat flow trend of the slab continuous casting machine crystallizer in this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0097] This application also provides a device for monitoring the heat flow trend of the crystallizer in a slab continuous casting machine. Please refer to [reference needed]. Figure 3 The slab continuous casting machine crystallizer heat flow trend monitoring device includes:

[0098] Data acquisition module 10 is used to acquire monitoring data of the slab continuous casting machine crystallizer;

[0099] Heat flow calculation module 20 is used to calculate wide-side heat flow data and narrow-side heat flow data based on the monitoring data;

[0100] Data transmission module 30 is used to transmit the wide-side heat flow data and the narrow-side heat flow data to the WINCC monitoring system;

[0101] The trend generation and display module 40 is used to send a trend generation instruction to the WINCC monitoring system, so that the WINCC monitoring system can generate and display the heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data.

[0102] The slab continuous casting machine crystallizer heat flow trend monitoring device provided in this application adopts the slab continuous casting machine crystallizer heat flow trend monitoring method in the above embodiments. It can solve the technical problem of how to monitor the heat flow data of the wide and narrow sides of the slab continuous casting machine crystallizer in real time and present the heat flow trend to support the stable production of the crystallizer. Compared with the prior art, the beneficial effects of the slab continuous casting machine crystallizer heat flow trend monitoring device provided in this application are the same as the beneficial effects of the slab continuous casting machine crystallizer heat flow trend monitoring method provided in the above embodiments. Moreover, other technical features in the slab continuous casting machine crystallizer heat flow trend monitoring device are the same as the features disclosed in the above embodiments, and will not be repeated here.

[0103] This application provides a slab continuous casting machine crystallizer heat flow trend monitoring device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the slab continuous casting machine crystallizer heat flow trend monitoring method in the above embodiment 1.

[0104] The following is for reference. Figure 4The diagram illustrates a structural schematic suitable for implementing a slab continuous casting machine crystallizer heat flow trend monitoring device according to embodiments of this application. The slab continuous casting machine crystallizer heat flow trend monitoring device in embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), vehicle terminals (e.g., vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 4 The slab continuous casting machine crystallizer heat flow trend monitoring device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0105] like Figure 4 As shown, the slab continuous casting machine crystallizer heat flow trend monitoring device may include a processing unit 1001 (e.g., a central processing unit, graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in ROM (Read Only Memory) 1002 or the program loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the slab continuous casting machine crystallizer heat flow trend monitoring device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. Input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, LCDs (Liquid Crystal Displays), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the slab continuous casting machine mold heat flow trend monitoring equipment to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows slab continuous casting machine mold heat flow trend monitoring equipment with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented or possessed alternatively.

[0106] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0107] The slab continuous casting machine crystallizer heat flow trend monitoring device provided in this application adopts the slab continuous casting machine crystallizer heat flow trend monitoring method in the above embodiments. It can solve the technical problem of how to monitor the heat flow data of the wide and narrow sides of the slab continuous casting machine crystallizer in real time and present the heat flow trend to support the stable production of the crystallizer. Compared with the prior art, the beneficial effects of the slab continuous casting machine crystallizer heat flow trend monitoring device provided in this application are the same as the beneficial effects of the slab continuous casting machine crystallizer heat flow trend monitoring method provided in the above embodiments. Moreover, other technical features in the slab continuous casting machine crystallizer heat flow trend monitoring device are the same as the features disclosed in the previous embodiment method, and will not be repeated here.

[0108] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0109] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0110] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the slab continuous casting machine crystallizer heat flow trend monitoring method in the above embodiments.

[0111] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable Read Only Memory or Flash Memory), optical fibers, CD-ROM (CD-Read Only Memory), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0112] The aforementioned computer-readable storage medium may be included in the slab continuous casting machine crystallizer heat flow trend monitoring device; or it may exist independently and not be assembled into the slab continuous casting machine crystallizer heat flow trend monitoring device.

[0113] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the slab continuous casting machine crystallizer heat flow trend monitoring device, cause the slab continuous casting machine crystallizer heat flow trend monitoring device to: acquire monitoring data of the slab continuous casting machine crystallizer; calculate wide-side heat flow data and narrow-side heat flow data based on the monitoring data; transmit the wide-side heat flow data and the narrow-side heat flow data to the WINCC monitoring system; and send a trend generation instruction to the WINCC monitoring system, so that the WINCC monitoring system generates and displays a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data.

[0114] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including LAN (Local Area Network) or WAN (Wide Area Network)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0116] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0117] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described method for monitoring the heat flow trend of the slab continuous casting machine crystallizer. This method can solve the technical problem of how to monitor the heat flow data of the wide and narrow sides of the slab continuous casting machine crystallizer in real time and present the heat flow trend to support stable and smooth crystallizer production. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the heat flow trend monitoring method for the slab continuous casting machine crystallizer provided in the above embodiments, and will not be repeated here.

[0118] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described method for monitoring the heat flow trend of a slab continuous casting machine crystallizer.

[0119] The computer program product provided in this application can solve the technical problem of how to monitor the heat flow data of the wide and narrow sides of the slab continuous casting machine crystallizer in real time and present the heat flow trend to support stable and smooth crystallizer production. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the slab continuous casting machine crystallizer heat flow trend monitoring method provided in the above embodiments, and will not be repeated here.

[0120] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for monitoring the heat flow trend in the crystallizer of a slab continuous casting machine, characterized in that, The method includes: Obtain monitoring data of the slab continuous casting machine crystallizer; Calculate the wide-side heat flow data and the narrow-side heat flow data based on the monitoring data; The wide-side heat flow data and the narrow-side heat flow data are transmitted to the WINCC monitoring system; Send a trend generation command to the WINCC monitoring system so that the WINCC monitoring system generates and displays a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data; The step of calculating the wide-side heat flow data and the narrow-side heat flow data based on the monitoring data includes: Extract the first water flow rate data and the first temperature data corresponding to the wide side of the crystallizer, and the second water flow rate data and the second temperature data corresponding to the narrow side of the crystallizer from the monitoring data; The wide-side temperature difference is calculated based on the first temperature data, and the narrow-side temperature difference is calculated based on the second temperature data. The heat flow data of the wide side is calculated based on the wide side temperature difference, the first water flow rate data, and the first preset coefficient. The narrow-side heat flow data is calculated based on the narrow-side temperature difference, the second water flow rate data, and the second preset coefficient. The first preset coefficient includes a preset correction coefficient, a preset specific heat capacity coefficient, and a preset conversion coefficient; The step of calculating the heat flow data of the wide side based on the temperature difference of the wide side, the first water flow rate data, and the first preset coefficient includes: Multiply the wide-side temperature difference value by the preset correction coefficient to obtain the first intermediate calculation result; Multiply the first intermediate calculation result by the first water flow data to obtain the second intermediate calculation result; Multiply the second intermediate calculation result by the preset specific heat capacity coefficient to obtain the third intermediate calculation result; Divide the third intermediate calculation result by the preset conversion factor to obtain the wide-side heat flow data; The step of sending a trend generation command to the WINCC monitoring system, so that the WINCC monitoring system generates and displays a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data, includes: Send a data verification command to the WINCC monitoring system so that the WINCC monitoring system can verify the wide-side heat flow data and the narrow-side heat flow data, and return the verification result; When the verification result is successful, a trend generation instruction is generated based on the preset trend chart type, preset data refresh frequency, and preset coordinate axis range. The index information of the wide-side heat flow data and the narrow-side heat flow data, along with the trend generation instruction, are sent to the WINCC monitoring system so that the WINCC monitoring system can generate and display the heat flow trend.

2. The method as described in claim 1, characterized in that, After the step of sending a trend generation command to the WINCC monitoring system, so that the WINCC monitoring system generates and displays a heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data, the method further includes: Receive heat flow trend data corresponding to the heat flow trend fed back by the WINCC monitoring system; When the heat flow trend data exceeds the preset normal range, a prompt command is sent to the WINCC monitoring system so that the WINCC monitoring system displays an abnormal prompt message.

3. The method as described in claim 1, characterized in that, The step of transmitting the wide-side heat flow data and the narrow-side heat flow data to the WINCC monitoring system includes: Configure communication parameters with the WINCC monitoring system, including preset communication protocol, preset port number and preset data transmission rate; The wide-side heat flux data and the narrow-side heat flux data are converted into formats and data identifiers are added. The data identifiers include wide-side heat flux data identifiers and narrow-side heat flux data identifiers. Based on the communication parameters, a bidirectional communication link is established with the WINCC monitoring system; The wide-side heat flow data and the narrow-side heat flow data, which are labeled with the data identifier, are sent to the WINCC monitoring system via the bidirectional communication link.

4. The method according to any one of claims 1 to 3, characterized in that, The steps for obtaining monitoring data of the slab continuous casting machine crystallizer include: Establish communication connections with various sensors in the slab continuous casting machine crystallizer; After the communication connection is established, the system receives water flow data, temperature data, temperature difference data, and pressure data collected by the sensor. The water flow data, temperature data, temperature difference data, and pressure data are filtered and standardized to obtain monitoring data.

5. A device for monitoring the heat flow trend of a slab continuous casting machine crystallizer, characterized in that, The device employs the slab continuous casting machine crystallizer heat flow trend monitoring method as described in any one of claims 1 to 4, and the device comprises: The data acquisition module is used to acquire monitoring data of the slab continuous casting machine's crystallizer; The heat flux calculation module is used to calculate the wide-side heat flux data and the narrow-side heat flux data based on the monitoring data; The data transmission module is used to transmit the wide-side heat flow data and the narrow-side heat flow data to the WINCC monitoring system; The trend generation and display module is used to send trend generation instructions to the WINCC monitoring system, so that the WINCC monitoring system can generate and display the heat flow trend based on the wide-side heat flow data and the narrow-side heat flow data.

6. A device for monitoring the heat flow trend of a slab continuous casting machine crystallizer, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the method for monitoring the heat flow trend of a slab continuous casting machine crystallizer as described in any one of claims 1 to 4.

7. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the method for monitoring the heat flow trend of the slab continuous casting machine crystallizer as described in any one of claims 1 to 4.

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