Temperature detection system adaptive to state control of induction melting furnace

Abstract

The invention belongs to the technical field of smelting furnace management and control, and particularly relates to a temperature detection system adaptive to induction smelting furnace state control, which comprises a temperature monitoring acquisition module, an auxiliary information acquisition module, a feature extraction diagnosis module, a touch interaction interface module and an alarm execution module, according to the invention, the feature extraction and diagnosis module is used for processing and feature extraction of collected data and identifying turn-to-turn short circuit and arc discharge, and when an alarm is triggered, an alarm is given and alarm information is sent to a remote terminal, so that the accident rate is reduced and the fault response speed is accelerated; and when the alarm is not triggered, the cooling operation condition of a cooling system related to the induction melting furnace is analyzed through a cooling state evaluation module, an administrator is reminded to perform cooling water input inspection and regulation when a cooling hindering signal is generated, supervision of the input cooling water is enhanced, the cooling effect of the induction melting furnace is ensured, and the service life of the induction melting furnace is prolonged. Safe and stable operation of the induction melting furnace is facilitated, and the supervision difficulty of the induction melting furnace is remarkably reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of smelting furnace control, and in particular to a temperature detection system suitable for state control of an induction smelting furnace. Background Art

[0002] Induction melting furnace is a kind of equipment that uses the principle of induction heating to melt metal. Its working principle is based on Faraday's law of electromagnetic induction. When the coil passes through alternating current, an alternating magnetic field is generated. When the metal conductor enters this magnetic field, due to the change of magnetic induction lines, an induced current will be generated inside the metal conductor. The induced current generates resistance inside the metal conductor, thereby generating induction heat to heat the metal conductor to above the melting point to melt it. The molten metal will be discharged from the bottom of the melting furnace;

[0003] As a key equipment for metal smelting, the stability of the working state of the induction melting furnace is directly related to production efficiency and product quality. Traditional monitoring methods often fail to timely and accurately identify abnormal conditions such as short circuits and arcs between turns of the inverter coil, which can easily lead to abnormal temperatures of the induction melting furnace. In addition, it is impossible to detect and analyze the cooling factors of the induction melting furnace one by one and make accurate judgments, which is not conducive to the safe and stable operation of the induction melting furnace, and the supervision of the induction melting furnace is difficult.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a temperature detection system suitable for the state control of an induction melting furnace, which solves the problem that the prior art is difficult to timely and accurately identify abnormal conditions such as inter-turn short circuit and arc of the inverter coil, which easily leads to abnormal temperature of the induction melting furnace, and is unable to detect and analyze the cooling influencing factors of the induction melting furnace one by one and make accurate judgments, which is not conducive to the safe and stable operation of the induction melting furnace and is difficult to supervise.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A temperature detection system adapted for state control of an induction melting furnace comprises a temperature monitoring and acquisition module, an auxiliary information acquisition module, a feature extraction and diagnosis module, a touch interaction interface module and an execution alarm module; the temperature monitoring and acquisition module monitors the temperature of an inverter coil of an induction melting furnace through a temperature sensor, collects local temperature rise data of the inverter coil and sends it to the feature extraction and diagnosis module; the auxiliary information acquisition module collects real-time voltage and current signals of the inverter coil of the induction melting furnace through an intermediate frequency voltage sensor and a current sensor, as well as the output frequency of an intermediate frequency power supply, and sends the collected auxiliary information to the feature extraction and diagnosis module;

[0008] The feature extraction diagnosis module uses a signal processor to filter, normalize and extract features from the collected data, including voltage harmonic components, current phase shift and temperature rise gradient, and builds a fault diagnosis model based on wavelet transform and neural network algorithm. It identifies the characteristic patterns of turn-to-turn short circuit and arc discharge through training data, and determines whether to trigger an alarm based on the threshold set by the user and the algorithm reasoning results. When the alarm is triggered, the alarm information is sent to the execution alarm module and the touch interaction interface module; when the execution alarm module receives the alarm information, the sound and light alarm sounds an alarm, sends the alarm information to the remote terminal, and automatically cuts off the power supply in an emergency.

[0009] Furthermore, the touch interactive interface module displays the trend curves of the medium frequency voltage, current, frequency and temperature in real time, and provides a user-defined interface, supports setting alarm parameter thresholds, and has historical data query and fault log recording functions.

[0010] Furthermore, the feature extraction diagnosis module is communicatively connected to the cooling status evaluation module. When no alarm is triggered, the cooling status evaluation module analyzes the cooling operation status of the cooling system involved in the induction melting furnace, and determines whether to generate a cooling obstruction signal through analysis. When the cooling obstruction signal is generated, it is sent to the touch interaction interface module and the execution alarm module. The touch interaction interface module displays the cooling obstruction signal, and the execution alarm module sounds an alarm and sends the cooling obstruction signal to the remote terminal.

[0011] Furthermore, the specific analysis process of the cooling state assessment module includes:

[0012] The water pressure and water temperature of the input end of the cooling system corresponding to the induction melting furnace are obtained, and the water pressure and water temperature are numerically compared with the preset water pressure threshold and the preset water temperature threshold respectively. If the water pressure does not exceed the preset water pressure threshold or the water temperature exceeds the preset water temperature threshold, it is determined that the cooling system is in a poor water supply state;

[0013] The total time that the induction melting furnace is in a poor water supply state per unit time is obtained and marked as the poor water supply time value, and the poor water supply time value is numerically compared with the preset poor water supply time threshold. If the poor water supply time value exceeds the preset poor water supply time threshold, a cooling obstruction signal is generated.

[0014] Furthermore, if the water delivery value does not exceed the preset water delivery value, then when the water pressure does not exceed the preset water pressure threshold, the deviation value of the water pressure compared to the preset water pressure threshold is marked as the pressure difference detection value, and when the water temperature exceeds the preset water temperature threshold, the excess value of the water temperature compared to the preset water temperature threshold is marked as the temperature difference detection value;

[0015] The pressure difference detection value and temperature difference detection value with the largest values ​​per unit time are marked as the pressure difference detection amplitude value and the temperature difference detection amplitude value, respectively. The water entry status value is obtained by weighted summing the water input value, the pressure difference detection amplitude value and the temperature difference detection amplitude value. The water entry status value is numerically compared with the preset water entry status threshold. If the water entry status value exceeds the preset water entry status threshold, a cooling obstruction signal is generated.

[0016] Furthermore, the cooling state evaluation module is communicatively connected to the pipeline filter monitoring module. When no cooling obstruction signal is generated, the pipeline filter monitoring module monitors the input filter of the cooling system, marks the water pressure difference on both sides of the filter as the filter blockage value, compares the filter blockage value with a preset filter blockage threshold, and generates a filter cleaning signal if the filter blockage value exceeds the preset filter blockage threshold;

[0017] If the filter blockage value does not exceed the preset filter blockage threshold, the filter filtration traceability analysis is performed to obtain the filter traceability value, and the filter traceability value is numerically compared with the preset filter traceability threshold. If the filter traceability value exceeds the preset filter traceability threshold, a filter cleaning signal is generated and sent to the touch interaction interface module and the execution alarm module. The touch interaction interface module displays the filter cleaning signal, and the execution alarm module sounds an alarm and sends the filter cleaning signal to the remote terminal.

[0018] Furthermore, the specific analysis process of filter filtration traceability analysis is as follows:

[0019] The time when the filter was cleaned last is collected, and the interval between the current time and the time when the filter was cleaned last is marked as the filter cleaning interval value; and the concentration of solid particles in the input water source is collected and marked as the water source impurity detection value, and the water source impurity detection value is compared with the preset water source impurity detection threshold value. If the water source impurity detection value exceeds the preset water source impurity detection threshold value, it is determined that the impurity is in an accumulation state;

[0020] The total duration of impurity accumulation between the current moment and the last time the filter was cleaned is obtained and marked as the total impurity accumulation time value, and the impurity performance value is obtained by averaging all the impurity inspection values ​​of water sources during this period; the filtration traceability value is obtained by weighted summing the filter cleaning interval value, the total impurity accumulation time value and the impurity performance value.

[0021] Furthermore, the pipeline filter monitoring module is communicatively connected to the pipeline impact assessment module. When the filter cleaning signal is not generated, the pipeline impact assessment module monitors and analyzes the pipelines involved in the cooling system, and determines through analysis whether a pipeline high impact signal is generated. When a pipeline high impact signal is generated, it is sent to the touch interaction interface module and the execution alarm module. The touch interaction interface module displays the pipeline high impact signal, and the execution alarm module sounds an alarm and sends the pipeline high impact signal to the remote terminal.

[0022] Furthermore, the specific analysis process of the pipeline impact assessment module includes:

[0023] Use image acquisition equipment to acquire images of the cooling pipelines involved in the induction melting furnace, pre-process the acquired images, including denoising, contrast enhancement and color adjustment, and use image recognition technology to extract key features from the pre-processed images, and perform crack identification and corrosion contaminant identification based on feature extraction information;

[0024] If there is a crack on the cooling pipeline, the length, width and depth of the corresponding crack are collected, and the length, width and depth are numerically compared with the corresponding preset thresholds. If the length, width and depth exceed the corresponding preset thresholds, the corresponding crack is marked as a high-impact crack. If there is a high-impact crack on the cooling pipeline, a pipeline high-impact signal is generated.

[0025] Further, if there is no high-impact crack on the cooling pipeline, the area on the pipeline where corrosion or contaminant deposition exists is marked as a corrosion contamination area, the area of ​​the corresponding corrosion contamination area is marked as a corrosion contour value, and the corrosion depth or contamination deposition thickness of the corresponding corrosion contamination area is marked as a corrosion stacking value;

[0026] The corrosion profile value and the corrosion stacking value are numerically compared with the preset corrosion profile threshold and the preset corrosion stacking threshold respectively. If the corrosion profile value or the corrosion stacking value exceeds the corresponding preset threshold, the corresponding corrosion pollution area is marked as a corrosion risk area; if there is a corrosion risk area on the cooling pipeline, a pipeline high impact signal is generated;

[0027] If there is no corrosion risk area on the cooling pipeline, the cooling pipeline will be divided into several sub-segments. If the corresponding sub-segment involves cracks, corrosion or pollutant deposition, the corresponding sub-segment will be marked as an abnormal sub-segment. The number of abnormal sub-segments in the cooling pipeline is obtained by ratio calculation with the total number of sub-segments to obtain the abnormal segment detection value, and the abnormal segment detection value is numerically compared with the preset abnormal segment detection threshold. If the abnormal segment detection value exceeds the preset abnormal segment detection threshold, a pipeline high impact signal is generated.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1. In the present invention, real-time monitoring and intelligent early warning are used to prevent safety hazards such as inter-turn short circuit and arc in the operation of the induction melting furnace, significantly reduce the accident rate, speed up the fault response speed, and analyze the cooling operation status of the cooling system involved in the induction melting furnace through the cooling state evaluation module when the alarm is not triggered. When the cooling obstacle signal is generated, the input of cooling water is checked and regulated, and the supervision of the input cooling water is strengthened to ensure the cooling effect of the induction melting furnace, which is beneficial to the safe and stable operation of the induction melting furnace and significantly reduces the supervision difficulty of the induction melting furnace;

[0030] 2. In the present invention, when no cooling obstruction signal is generated, the pipeline filter monitoring module monitors the input filter of the cooling system and determines whether a filter cleaning signal is generated. When the filter cleaning signal is generated, the filter is cleaned to ensure its filtering effect and efficiency. When no filter cleaning signal is generated, the pipeline impact assessment module monitors and analyzes the pipelines involved in the cooling system. When a pipeline high impact signal is generated, the cooling pipeline is inspected, repaired or even replaced to ensure the performance of the cooling pipeline and further reduce the operation risk of the induction melting furnace. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0032] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0033] Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] Embodiment 1: Figure 1 As shown, the temperature detection system suitable for induction melting furnace state control proposed in the present invention includes a temperature monitoring and acquisition module, an auxiliary information acquisition module, a feature extraction and diagnosis module, a cooling state evaluation module, a touch interaction interface module and an execution alarm module; wherein the touch interaction interface module displays the trend curves of the intermediate frequency voltage, current, frequency and temperature in real time, and provides a user-defined interface, supports setting alarm parameter thresholds, and has historical data query and fault log recording functions.

[0036] The temperature monitoring and acquisition module monitors the temperature of the inverter coil of the induction melting furnace through the temperature sensor, collects the local temperature rise data of the inverter coil and sends it to the feature extraction and diagnosis module; the auxiliary information acquisition module collects the real-time voltage and current signals of the inverter coil of the induction melting furnace through the intermediate frequency voltage sensor and current sensor, and collects the output frequency of the intermediate frequency power supply, and sends the collected auxiliary information to the feature extraction and diagnosis module;

[0037] The feature extraction diagnosis module uses a signal processor to filter, normalize and extract features from the collected data, including voltage harmonic components, current phase shift and temperature rise gradient, etc., and builds a fault diagnosis model based on wavelet transform and neural network algorithm. It uses training data to identify characteristic patterns such as turn-to-turn short circuit and arc discharge, and determines whether to trigger an alarm based on the threshold set by the user and the algorithm reasoning results. When the alarm is triggered, the alarm information is sent to the execution alarm module and the touch interaction interface module;

[0038] When the execution alarm module receives the alarm information, the sound and light alarm will sound an alarm, and the alarm information will be sent to the remote terminal, and the power supply will be automatically cut off in an emergency. The present invention effectively prevents safety hazards such as turn-to-turn short circuit and electric arc in the operation of the induction melting furnace through real-time monitoring and intelligent early warning, significantly reduces the accident rate, reduces dependence on manual intervention, speeds up fault response speed, and is conducive to ensuring the continuity and stability of production.

[0039] When the alarm is not triggered, the cooling state evaluation module analyzes the cooling operation status of the cooling system involved in the induction melting furnace, and determines whether a cooling obstruction signal is generated through analysis. When the cooling obstruction signal is generated, it is sent to the touch interaction interface module and the execution alarm module. The touch interaction interface module displays the cooling obstruction signal, and the execution alarm module issues an alarm and sends the cooling obstruction signal to the remote terminal to remind the administrator to check and regulate the input of cooling water, strengthen the supervision of the input cooling water, ensure the cooling effect of the induction melting furnace, and facilitate the safe and stable operation of the induction melting furnace. The specific analysis process of the cooling state evaluation module is as follows:

[0040] The water pressure and water temperature of the input end of the cooling system corresponding to the induction melting furnace are obtained, and the water pressure and water temperature are numerically compared with the preset water pressure threshold and the preset water temperature threshold respectively. If the water pressure does not exceed the preset water pressure threshold or the water temperature exceeds the preset water temperature threshold, it is determined that the cooling system is in a poor water supply state;

[0041] The total time that the induction melting furnace is in a poor water supply state per unit time is obtained and marked as the poor water supply value, and the poor water supply value is numerically compared with the preset poor water supply threshold. If the poor water supply value exceeds the preset poor water supply threshold, it indicates that the condition of the cooling water input per unit time is poor, which is not conducive to ensuring the cooling effect of the induction melting furnace, and a cooling obstruction signal is generated.

[0042] If the water delivery value does not exceed the preset water delivery value threshold, then when the water pressure does not exceed the preset water pressure threshold, the deviation value of the water pressure compared to the preset water pressure threshold is marked as the pressure difference detection value, and when the water temperature exceeds the preset water temperature threshold, the excess value of the water temperature compared to the preset water temperature threshold is marked as the temperature difference detection value;

[0043] The pressure difference detection value and the temperature difference detection value with the largest values ​​per unit time are marked as the pressure difference detection amplitude value and the temperature difference detection amplitude value, respectively, and the water entry state value is obtained by weighted summing the inferior value during water delivery, the pressure difference detection amplitude value and the temperature difference detection amplitude value, that is, the inferior value during water delivery, the pressure difference detection amplitude value and the temperature difference detection amplitude value are respectively assigned corresponding preset weight coefficients, and the inferior value during water delivery, the pressure difference detection amplitude value and the temperature difference detection amplitude value are respectively multiplied by the corresponding preset weight coefficients, and the three sets of product results are summed to obtain the water entry state value;

[0044] Among them, the larger the value of the water entry status value is, the worse the condition of the cold zone water input per unit time is, and the more unfavorable it is to ensure the cooling effect of the induction melting furnace; the water entry status value is numerically compared with the preset water entry status threshold. If the water entry status value exceeds the preset water entry status threshold, it indicates that the condition of the cooling water input per unit time is poor, which is not conducive to ensuring the cooling effect of the induction melting furnace, and a cooling obstruction signal is generated.

[0045] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the cooling state evaluation module is communicatively connected to the pipeline filter monitoring module. When no cooling obstruction signal is generated, the pipeline filter monitoring module monitors the input filter of the cooling system, marks the water pressure difference on both sides of the filter as the filter blockage value, compares the filter blockage value with the preset filter blockage threshold, and if the filter blockage value exceeds the preset filter blockage threshold, it indicates that the probability of the filter being blocked is relatively high and the filter needs to be cleaned in time, then a filter cleaning signal is generated;

[0046] If the filter blockage value does not exceed the preset filter blockage threshold, the filter filtration tracing analysis is performed to obtain the filtration tracing value, specifically: the time when the filter was cleaned last is collected, and the interval between the current time and the time when the filter was cleaned last is marked as the filter cleaning interval value; and the concentration of solid particles in the input water source is collected and marked as the water source impurity detection value, and the water source impurity detection value is numerically compared with the preset water source impurity detection threshold. If the water source impurity detection value exceeds the preset water source impurity detection threshold, it is judged to be in an impurity accumulation state;

[0047] Obtain the total time in the impurity accumulation state between the current moment and the last time the filter was cleaned and mark it as the total impurity accumulation time value, and calculate the average of all water source impurity inspection values ​​during this period to obtain the impurity performance value;

[0048] The filter tracing value is obtained by weighted summing the filter cleaning interval value, the total time value of the assorted aggregates and the impurity performance value, that is, the filter cleaning interval value, the total time value of the assorted aggregates and the impurity performance value are respectively assigned corresponding preset weight coefficients, and the filter cleaning interval value, the total time value of the assorted aggregates and the impurity performance value are respectively multiplied by the corresponding preset weight coefficients, and the three sets of product results are summed to obtain the filter tracing value; and the larger the value of the filter tracing value is, the more timely it is necessary to clean the filter;

[0049] The filter traceability value is numerically compared with the preset filter traceability threshold. If the filter traceability value exceeds the preset filter traceability threshold, it indicates that the filter needs to be cleaned in time to avoid filter clogging and affecting the filtering efficiency and filtering effect. A filter cleaning signal is generated and sent to the touch interaction interface module and the execution alarm module. The touch interaction interface module displays the filter cleaning signal, and the execution alarm module sounds an alarm and sends the filter cleaning signal to the remote terminal to remind the administrator to clean the filter in time, thereby ensuring its filtering effect and filtering efficiency, and significantly reducing the difficulty of supervision by the administrator.

[0050] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the pipeline filter monitoring module is communicatively connected to the pipeline impact assessment module. When the filter cleaning signal is not generated, the pipeline impact assessment module monitors and analyzes the pipelines involved in the cooling system to determine whether a pipeline high impact signal is generated through analysis;

[0051] When the pipeline high impact signal is generated, it is sent to the touch interactive interface module and the execution alarm module. The touch interactive interface module displays the pipeline high impact signal. The execution alarm module issues an alarm and sends the pipeline high impact signal to the remote terminal to remind the administrator to inspect, repair or even replace the cooling pipeline in time to ensure the performance of the cooling pipeline and further reduce the operation risk of the induction melting furnace. The specific analysis process of the pipeline impact assessment module is as follows:

[0052] Use image acquisition equipment to acquire images of the cooling pipelines involved in the induction melting furnace, pre-process the acquired images, including denoising, contrast enhancement, and color adjustment, etc. Use image recognition technology to extract key features from the pre-processed images, and perform crack identification and corrosion contaminant identification based on feature extraction information;

[0053] If there are cracks on the cooling pipeline, the length, width and depth of the corresponding cracks are collected, and the length, width and depth are numerically compared with the corresponding preset thresholds. If the length, width and depth exceed the corresponding preset thresholds, it indicates that the safety hazard caused by the corresponding crack is relatively large, and the corresponding crack is marked as a high-impact crack. If there are high-impact cracks on the cooling pipeline, it indicates that the pipeline condition of the cooling pipeline is poor, and a pipeline high-impact signal is generated.

[0054] If there is no high-impact crack on the cooling pipeline, the area on the pipeline where corrosion or contaminant deposition exists is marked as a corrosion contamination area, the area of ​​the corresponding corrosion contamination area is marked as a corrosion contour value, and the corrosion depth or contamination deposition thickness of the corresponding corrosion contamination area is marked as a corrosion stacking value;

[0055] The corrosion profile value and the corrosion stacking value are numerically compared with the preset corrosion profile threshold and the preset corrosion stacking threshold, respectively. If the corrosion profile value or the corrosion stacking value exceeds the corresponding preset threshold, it indicates that the corrosion or pollution in the corresponding area is serious, and the corresponding corrosion pollution area is marked as a corrosion risk area; if there is a corrosion risk area on the cooling pipeline, it indicates that the pipeline condition of the cooling pipeline is poor, and a pipeline high impact signal is generated;

[0056] If there is no corrosion risk area on the cooling pipeline, the cooling pipeline will be divided into several sub-segments. If the corresponding sub-segment involves cracks, corrosion or pollutant deposition, the corresponding sub-segment will be marked as an abnormal sub-segment. The number of abnormal sub-segments in the cooling pipeline is obtained and the ratio of the total number of sub-segments is calculated to obtain the abnormal segment detection value, and the abnormal segment detection value is numerically compared with the preset abnormal segment detection threshold. If the abnormal segment detection value exceeds the preset abnormal segment detection threshold, it indicates that the pipeline condition of the cooling pipeline is generally poor, which is not conducive to ensuring its use effect, and a pipeline high impact signal is generated.

[0057] The working principle of the present invention is as follows: when in use, the temperature of the inverter coil of the induction melting furnace is monitored by the temperature monitoring and acquisition module, the auxiliary information acquisition module acquires the real-time voltage and current signals of the inverter coil of the induction melting furnace and the output frequency of the medium frequency power supply, the feature extraction and diagnosis module processes and extracts features from the acquired data and identifies the characteristic modes of turn-to-turn short circuit, arc discharge, etc., to determine whether to trigger an alarm, and when the alarm is triggered, an alarm is issued and an alarm message is sent to a remote terminal, which significantly reduces the accident rate and speeds up the fault response speed, and when the alarm is not triggered, the cooling state evaluation module analyzes the cooling operation status of the cooling system involved in the induction melting furnace, and when a cooling obstruction signal is generated, reminds the administrator to check and regulate the input of cooling water, strengthens the supervision of the input cooling water, ensures the cooling effect of the induction melting furnace, is beneficial to the safe and stable operation of the induction melting furnace, and significantly reduces the difficulty of supervision of the induction melting furnace.

[0058] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A temperature detection system adapted for induction melting furnace state control, characterized in that: It includes a temperature monitoring and acquisition module, an auxiliary information acquisition module, a feature extraction and diagnosis module, a touch interactive interface module and an execution alarm module; the temperature monitoring and acquisition module monitors the temperature of the inverter coil of the induction melting furnace and collects the local temperature rise data of the inverter coil, and the auxiliary information acquisition module collects the real-time voltage and current signals of the inverter coil of the induction melting furnace and the output frequency of the medium frequency power supply; The feature extraction diagnosis module filters, normalizes and extracts features from the collected data, identifies the characteristic patterns of inter-turn short circuit and arc discharge, and determines whether to trigger an alarm based on the threshold set by the user and the algorithm reasoning results. When the alarm is triggered, the alarm information is sent to the execution alarm module and the touch interaction interface module; when the execution alarm module receives the alarm information, the sound and light alarm sounds an alarm, sends the alarm information to the remote terminal, and automatically cuts off the power supply in an emergency.

2. The temperature detection system adapted for induction melting furnace state control according to claim 1, characterized in that: The touch interactive interface module displays the trend curves of the intermediate frequency voltage, current, frequency and temperature in real time, and provides a user-defined interface, supports setting alarm parameter thresholds, and has historical data query and fault log recording functions.

3. The temperature detection system adapted for induction melting furnace state control according to claim 2, characterized in that: The feature extraction diagnosis module is communicatively connected to the cooling status evaluation module. When no alarm is triggered, the cooling status evaluation module analyzes the cooling operation status of the cooling system involved in the induction melting furnace, and determines whether to generate a cooling obstruction signal through analysis. When a cooling obstruction signal is generated, it is sent to the touch interaction interface module and the execution alarm module.

4. The temperature detection system adapted for induction melting furnace state control according to claim 3, characterized in that: The specific analysis process of the cooling status assessment module includes: The water pressure and water temperature of the input end of the cooling system corresponding to the induction melting furnace are obtained. If the water pressure does not exceed the preset water pressure threshold or the water temperature exceeds the preset water temperature threshold, the cooling system is judged to be in a poor water supply state; the total time length of the induction melting furnace in the poor water supply state per unit time is obtained and marked as the poor water supply time value. If the poor water supply time value exceeds the preset poor water supply time threshold, a cooling obstruction signal is generated.

5. The temperature detection system adapted for induction melting furnace state control according to claim 4, characterized in that: If the water delivery time deterioration value does not exceed the preset water delivery time deterioration threshold, the water entry state value is obtained by weighted summing the water delivery time deterioration value, the pressure difference detection value and the temperature difference detection value. If the water entry state value exceeds the preset water entry state threshold, a cooling obstruction signal is generated.

6. The temperature detection system adapted for induction melting furnace state control according to claim 3, characterized in that: The cooling state evaluation module is communicatively connected to the pipeline filter monitoring module. When no cooling obstruction signal is generated, the pipeline filter monitoring module monitors the input filter of the cooling system. If the filter blockage value exceeds a preset filter blockage threshold, a filter cleaning signal is generated. If the filter blockage value does not exceed the preset filter blockage threshold, the filter filtration traceability analysis is performed to obtain the filter filtration traceability value. If the filter filtration traceability value exceeds the preset filter filtration traceability threshold, a filter cleaning signal is generated and sent to the touch interaction interface module and the execution alarm module.

7. The temperature detection system adapted for induction melting furnace state control according to claim 6, characterized in that: The specific analysis process of filter filtration traceability analysis is as follows: The interval between the current moment and the last time the filter was cleaned is marked as the filter cleaning interval value, and the total time in the impurity accumulation state within the interval between the current moment and the last time the filter was cleaned is obtained and marked as the total impurity accumulation time value, and the impurity performance value is obtained by averaging all the water source impurity inspection values ​​during this period; the filtration traceability value is obtained by weighted summing the filter cleaning interval value, the total impurity accumulation time value and the impurity performance value.

8. The temperature detection system adapted for induction melting furnace state control according to claim 6, characterized in that: The pipeline filter monitoring module is communicatively connected to the pipeline impact assessment module. When no filter cleaning signal is generated, the pipeline impact assessment module monitors and analyzes the pipelines involved in the cooling system, and determines through analysis whether a pipeline high impact signal is generated. When a pipeline high impact signal is generated, it is sent to the touch interaction interface module and the execution alarm module.

9. The temperature detection system adapted for induction melting furnace state control according to claim 8, characterized in that: The specific analysis process of the pipeline impact assessment module includes: The cooling pipeline involved in the induction melting furnace is imaged and preprocessed. The key features are extracted using image recognition technology. The information is extracted based on the features to identify cracks and corrosion pollutants. If there are high-impact cracks on the cooling pipeline, a high-impact signal for the pipeline is generated.

10. The temperature detection system adapted for induction melting furnace state control according to claim 9, characterized in that: If there is no high-impact crack on the cooling pipeline, determine whether there is a corrosion risk area on the pipeline; if there is a corrosion risk area on the cooling pipeline, generate a pipeline high-impact signal; if there is no corrosion risk area on the cooling pipeline, compare the abnormal section detection value with the preset abnormal section detection threshold, and if the abnormal section detection value exceeds the preset abnormal section detection threshold, generate a pipeline high-impact signal.

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