Intermediate frequency furnace cooling abnormity alarm system based on online monitoring analysis

Abstract

The invention belongs to the technical field of intermediate frequency furnace supervision, and particularly relates to an intermediate frequency furnace cooling abnormity alarm system based on online monitoring analysis, which comprises an intermediate frequency furnace monitoring unit, a cooling analysis output unit, a cooling abnormity alarm unit, an alarm adaptive control unit and a remote monitoring center, the cooling system of the intermediate frequency furnace is monitored through the intermediate frequency furnace monitoring unit, the cooling analysis output unit carries out cooling abnormity judgment based on cooling monitoring data, and an alarm is given out through the cooling abnormity alarm unit when a cooling abnormity alarm signal is generated. The alarm self-adaptive control unit performs self-adaptive control on the alarm volume of the cooling abnormity alarm unit to realize timely and effective alarm of cooling abnormity of the intermediate frequency furnace, and analyzes the alarm normalization of the cooling abnormity alarm unit. And when the alarm non-standard signal is generated, the cooling abnormity alarm unit is checked and maintained, and subsequent monitoring management is enhanced, so that the alarm timeliness and the alarm effect of the cooling abnormity alarm unit are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of intermediate frequency furnace supervision, and specifically to an intermediate frequency furnace cooling abnormality alarm system based on online monitoring and analysis. Background Art

[0002] An intermediate frequency furnace is a device that converts electrical energy into heat energy using the principle of electromagnetic induction. It converts three-phase industrial frequency alternating current into intermediate frequency current through a rectification and inversion process, and supplies it to a load circuit composed of a capacitor and an induction coil. A high-density alternating magnetic field is generated in the induction coil, causing eddy currents to be generated in the metal material placed therein, thereby quickly heating and melting the metal. It is widely used in the fields of metal processing and heat treatment;

[0003] During the operation of the intermediate frequency furnace, it is necessary to cool it through a cooling system. However, currently, it is difficult to perform alarm adaptive control for rapid and effective alarm in the monitoring of intermediate frequency furnace cooling abnormalities, and it is impossible to reasonably analyze and timely feedback the cooling stability and cooling risks of the intermediate frequency furnace cooling system, which is not conducive to ensuring the safe and stable operation of the intermediate frequency furnace and reducing the difficulty of its cooling supervision, and the intelligent level is low;

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

[0005] The purpose of the present invention is to provide an intermediate frequency furnace cooling abnormality alarm system based on online monitoring and analysis, which solves the problems that in the prior art, it is difficult to perform alarm adaptive control for rapid and effective alarm in the monitoring of intermediate frequency furnace cooling abnormalities, and it is impossible to reasonably analyze and timely feedback the cooling stability and cooling risks of the intermediate frequency furnace cooling system, which is not conducive to ensuring the safe and stable operation of the intermediate frequency furnace and reducing the difficulty of its cooling supervision.

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

[0007] An intermediate frequency furnace cooling abnormality alarm system based on online monitoring and analysis includes an intermediate frequency furnace monitoring unit, a cooling analysis and output unit, a cooling abnormality alarm unit, an alarm adaptive control unit, and a remote monitoring center; the intermediate frequency furnace monitoring unit is integrated with a water temperature sensor, a pressure sensor, and an ultrasonic flowmeter, thereby monitoring the intermediate frequency furnace cooling system, and sending the collected cooling monitoring data to the cooling analysis and output unit;

[0008] The cooling analysis and output unit performs cooling abnormality judgment based on the cooling monitoring data, generates a cooling abnormality alarm signal when the water temperature exceeds the corresponding set value or the pressure and flow rate are lower than the corresponding set values, and sends the cooling abnormality alarm signal to the cooling abnormality alarm unit and the remote monitoring center. When the cooling abnormality alarm unit receives the cooling abnormality alarm signal, it issues an alarm, and the alarm adaptive control unit adaptively controls the alarm volume of the cooling abnormality alarm unit through analysis.

[0009] Further, the specific analysis and control process of the alarm adaptive control unit is as follows:

[0010] Draw a circle with a radius of P1 centered on the location of the cooling anomaly alarm unit, and mark the drawn circular area as the operation area; monitor the operation area through a monitoring camera. When the cooling anomaly alarm unit needs to issue an alarm, based on the monitoring images of the operation area, determine whether there are operators in the operation area. If there are no operators in the operation area, adjust the alarm volume of the cooling anomaly alarm unit to YLmax; where YLmax is the maximum alarm volume of the cooling anomaly alarm unit.

[0011] Further, if there are operators in the operation area, mark the shortest distance between the operator and the cooling anomaly alarm unit as the alarm distance condition value, and collect the noise decibel values at several positions in the operation area. Calculate the average value of the noise decibel values at all positions to obtain the alarm noise condition value;

[0012] Calculate the alarm reminder influence value by weighted summation of the alarm distance condition value and the alarm noise condition value. Set several groups of preset alarm reminder influence value ranges in advance, and each group of preset alarm reminder influence value ranges corresponds to a group of volume standard values respectively; compare the alarm reminder influence value with all the preset alarm reminder influence value ranges one by one, and define the preset alarm reminder influence value range that contains the corresponding alarm reminder influence value as the paired range, and mark the volume standard value corresponding to the paired range as the volume matching value, and adjust the alarm volume of the cooling anomaly alarm unit to the volume matching value.

[0013] Further, the remote monitoring center is communicatively connected to the alarm standardization evaluation unit. The alarm standardization evaluation unit is used to set a detection period, analyze the alarm standardization of the cooling anomaly alarm unit during the detection period, generate an alarm non-standard signal or an alarm qualified signal accordingly, and send the alarm non-standard signal or the alarm qualified signal to the remote monitoring center.

[0014] Further, the specific analysis process of the alarm standardization evaluation unit is as follows:

[0015] Obtain the moment when the cooling anomaly alarm unit receives the cooling anomaly alarm signal and mark it as the cold anomaly moment, and mark the moment when the cooling anomaly alarm unit issues an alarm as the notification moment. Mark the time interval between the notification moment and the cold anomaly moment as the cooling hidden danger duration;

[0016] Calculate the average value of all cooling hazard durations during the detection period to obtain the cooling hazard time table value, and mark the ratio of the number of cooling hazard durations exceeding the preset cooling hazard duration threshold during the detection period as the cooling hazard explosion value; numerically compare the cooling hazard time table value and the cooling hazard explosion value with the preset cooling hazard time threshold and the preset cooling hazard explosion threshold respectively. If the cooling hazard time table value or the cooling hazard explosion value exceeds the corresponding preset threshold, an alarm non-compliance signal is generated.

[0017] Furthermore, if both the cooling hazard time table value and the cooling hazard explosion value do not exceed the corresponding preset thresholds, during the alarm process of the cooling anomaly alarm unit, the actual alarm volume value is collected in real time. Mark the deviation value of the actual alarm volume value from the corresponding volume matching value as the alarm difference value. Calculate the average value of all alarm difference values during the corresponding alarm process to obtain the alarm difference measurement value, and mark the ratio of the number of alarm difference values exceeding the preset alarm difference threshold during the corresponding alarm process as the alarm risk value;

[0018] Numerically compare the alarm difference measurement value and the alarm risk value with the preset alarm difference measurement threshold and the preset alarm risk threshold respectively. If the alarm difference measurement value or the alarm risk value exceeds the corresponding preset threshold, mark the corresponding alarm process as the target process, obtain the number of target processes during the detection period, and calculate the ratio of it to the total number of alarm processes to obtain the target detection value;

[0019] Calculate the weighted sum of the cooling hazard time table value, the cooling hazard explosion value, and the target detection value to obtain the alarm non-compliance coefficient. Numerically compare the alarm non-compliance coefficient with the preset alarm non-compliance coefficient threshold. If the alarm non-compliance coefficient exceeds the preset alarm non-compliance coefficient threshold, an alarm non-compliance signal is generated; if the alarm non-compliance coefficient does not exceed the preset alarm non-compliance coefficient threshold, an alarm qualified signal is generated.

[0020] Furthermore, the cooling analysis output unit is communicatively connected to the cooling stability decision unit. The cooling analysis output unit sends the cooling anomaly alarm signal to the cooling stability decision unit. The cooling stability decision unit analyzes the cooling stability status of the intermediate frequency furnace cooling system per unit time, generates a cooling high-stability signal or a cooling low-stability signal through the analysis, and sends the cooling high-stability signal or the cooling low-stability signal to the remote monitoring center.

[0021] Furthermore, the specific analysis process of the cooling stability decision unit includes:

[0022] Obtain the number of times the cooling anomaly alarm signal is generated per unit time and mark it as the cooling alarm value. Numerically compare the cooling alarm value with the preset cooling alarm threshold. If the cooling alarm value exceeds the preset cooling alarm threshold, a cooling low-stability signal is generated;

[0023] If the cooling alarm value does not exceed the preset cooling alarm threshold, a number of detection time periods are set within a unit time. If a cooling abnormality alarm signal is generated within the corresponding detection time period, the corresponding detection time period is marked as a characteristic time period; if a cooling abnormality alarm signal is not generated within the corresponding detection time period, the corresponding detection time period is marked as a safe time period.

[0024] Obtain the number of characteristic time periods between two adjacent safe time periods and mark it as the characteristic duration value. Compare the characteristic duration value with the preset characteristic duration threshold. If the characteristic duration value exceeds the preset characteristic duration threshold, mark the corresponding characteristic duration value as a characteristic anomaly value, and mark the number of characteristic anomaly values within a unit time as the anomaly statistical value; and calculate the mean value of all characteristic duration values within a unit time to obtain the characteristic condition value accordingly.

[0025] Calculate the cooling stability anomaly coefficient by weighted summation of the cooling alarm value, the anomaly statistical value, and the characteristic condition value. Compare the cooling stability anomaly coefficient with the preset cooling stability anomaly coefficient threshold. If the cooling stability anomaly coefficient exceeds the preset cooling stability anomaly coefficient threshold, generate a cooling low stability signal; if the cooling stability anomaly coefficient does not exceed the preset cooling stability anomaly coefficient threshold, generate a cooling high stability signal.

[0026] Furthermore, the cooling stability decision unit is communicatively connected to the cooling risk auxiliary analysis unit. The cooling stability decision unit sends the cooling high stability signal to the cooling risk auxiliary analysis unit. When the cooling risk auxiliary analysis unit receives the cooling high stability signal, it analyzes the cooling risk of the intermediate frequency furnace cooling system, generates a cooling high risk signal or a cooling low risk signal through the analysis, and sends the cooling high risk signal or the cooling low risk signal to the remote monitoring center.

[0027] Furthermore, the specific analysis process of the cooling risk auxiliary analysis unit includes:

[0028] Obtain the solution duration for the corresponding cooling abnormality alarm signal, calculate the mean value of all solution durations within a unit time to obtain the solution performance value, and compare the solution duration with the preset solution duration threshold. Mark the number of solution durations that exceed the preset solution duration threshold within a unit time as the solution anomaly value. Compare the solution performance value and the solution anomaly value with the preset solution performance threshold and the preset solution anomaly threshold respectively. If the solution performance value or the solution anomaly value exceeds the corresponding preset threshold, generate a cooling high risk signal; if both the solution performance value and the solution anomaly value do not exceed the corresponding preset threshold, generate a cooling low risk signal.

[0029] Compared with the prior art, the beneficial effects of the present invention are:

[0030] 1. In the present invention, the monitoring unit of the intermediate frequency furnace monitors the cooling system of the intermediate frequency furnace, judges cooling abnormalities based on the cooling monitoring data, issues an alarm through the cooling abnormality alarm unit when generating a cooling abnormality alarm signal, and the alarm adaptive control unit adaptively controls the alarm volume of the cooling abnormality alarm unit to achieve timely and effective alarm of the cooling abnormality of the intermediate frequency furnace, ensuring the safe and stable operation of the cooling system of the intermediate frequency furnace. Moreover, by analyzing the alarm standardization of the cooling abnormality alarm unit, when generating an alarm non-standard signal, the cooling abnormality alarm unit is inspected and repaired, and subsequent monitoring and management are strengthened to ensure the alarm timeliness and alarm effect of the cooling abnormality alarm unit;

[0031] 2. In the present invention, the cooling stability decision unit analyzes the cooling stability status of the cooling system of the intermediate frequency furnace per unit time. When generating a cooling low stability signal, the operation of the intermediate frequency furnace is paused and reasonable improvement measures are taken to ensure the cooling effect and reduce the operation risk of the intermediate frequency furnace. And when generating a cooling high stability signal, the cooling risk auxiliary analysis unit analyzes the cooling risk of the cooling system of the intermediate frequency furnace. When generating a cooling high risk signal, subsequent supervision of cooling abnormality response is strengthened to ensure the subsequent response efficiency and response effect, further reducing the operation risk of the intermediate frequency furnace, with a high level of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings;

[0033] Figure 1 It is the system block diagram of the first embodiment in the present invention;

[0034] Figure 2 It is the system block diagram of the second and third embodiments in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0036] Embodiment 1: As Figure 1As shown, the intermediate frequency furnace cooling anomaly alarm system proposed by the present invention includes an intermediate frequency furnace monitoring unit, a cooling analysis output unit, a cooling anomaly alarm unit, an alarm adaptive control unit, an alarm standardization evaluation unit, and a remote monitoring center; the intermediate frequency furnace monitoring unit is integrated with a water temperature sensor, a pressure sensor, an ultrasonic flowmeter, etc., and accordingly monitors the intermediate frequency furnace cooling system (including monitoring the water temperature, pressure, and flow rate at the water inlet, as well as the temperature and flow rate at the water outlet), and sends the collected cooling monitoring data to the cooling analysis output unit;

[0037] The cooling analysis output unit judges cooling anomalies based on the cooling monitoring data, generates a cooling anomaly alarm signal when the water temperature exceeds the corresponding set value or the pressure and flow rate are lower than the corresponding set values, and sends the cooling anomaly alarm signal to the cooling anomaly alarm unit and the remote monitoring center. When the cooling anomaly alarm unit receives the cooling anomaly alarm signal, it issues an alarm to timely make corresponding adjustment measures for the intermediate frequency furnace cooling system, ensuring the cooling effect of the intermediate frequency furnace and being conducive to the safe and stable operation of the intermediate frequency furnace.

[0038] The alarm adaptive control unit adaptively controls the alarm volume of the cooling anomaly alarm unit through analysis, realizes the automatic and reasonable regulation of the alarm volume of the cooling anomaly alarm unit, ensures the alarm effect while reducing energy consumption, and has a high level of intelligence and automation; among them, the specific analysis and control process of the alarm adaptive control unit is as follows:

[0039] Draw a circle with a radius of P1 centered on the location of the cooling anomaly alarm unit. Preferably, P1 is five meters; and mark the drawn circular area as the operation area; monitor the operation area through a monitoring camera. When the cooling anomaly alarm unit needs to issue an alarm, judge whether there are operators in the operation area based on the monitoring image of the operation area. If there are no operators in the operation area, adjust the alarm volume of the cooling anomaly alarm unit to YLmax; where YLmax is the maximum alarm volume of the cooling anomaly alarm unit.

[0040] Furthermore, if there are operators in the operation area, mark the shortest distance between the operator and the cooling anomaly alarm unit as the alarm distance condition value, and collect the noise decibel values at several positions in the operation area, and calculate the average value of all the noise decibel values at all positions to obtain the alarm noise condition value;

[0041] The alarm reminder impact value is calculated by weighted summation of the alarm distance condition value and the alarm noise condition value, that is, corresponding preset weight coefficients are assigned to the alarm distance condition value and the alarm noise condition value, the alarm distance condition value and the alarm noise condition value are respectively multiplied by the corresponding preset weight coefficients, and the two sets of product results are summed up to obtain the alarm reminder impact value; among them, the larger the value of the alarm reminder impact value, the more urgent it is to increase the volume to notify the operator in time.

[0042] Several groups of preset alarm reminder impact value ranges are set in advance, and each group of preset alarm reminder impact value ranges corresponds to a set of volume standard values; among them, the larger the value of the preset alarm reminder impact value range, the larger the value of the volume standard value matched with it; the alarm reminder impact value is compared with all the preset alarm reminder impact value ranges one by one, and the preset alarm reminder impact value range containing the corresponding alarm reminder impact value is defined as the paired range, and the volume standard value corresponding to the paired range is marked as the volume matching value, and the alarm volume of the cooling abnormality alarm unit is adjusted to the volume matching value.

[0043] The alarm standardization evaluation unit is used to set the detection period. Preferably, the detection period is seven days; the alarm standardization of the cooling abnormality alarm unit within the detection period is analyzed, and accordingly an alarm non-standard signal or an alarm qualified signal is generated, and the alarm non-standard signal or the alarm qualified signal is sent to the remote monitoring center.

[0044] When the background personnel receive the alarm non-standard signal, they check and repair the cooling abnormality alarm unit and strengthen the subsequent monitoring management to ensure the alarm timeliness and alarm effect of the cooling abnormality alarm unit; the specific analysis process of the alarm standardization evaluation unit is as follows:

[0045] The moment when the cooling abnormality alarm unit receives the cooling abnormality alarm signal is obtained and marked as the cold abnormality moment, and the moment when the cooling abnormality alarm unit issues an alarm is marked as the notification moment, and the interval duration between the notification moment and the cold abnormality moment is marked as the cooling hidden danger duration; among them, the larger the value of the cooling hidden danger duration, the less timely the alarm for the corresponding cooling abnormality alarm signal.

[0046] The average value of all the cooling hidden danger durations within the detection period is calculated to obtain the cooling hidden danger time table value, and the cooling hidden danger duration is compared with the preset cooling hidden danger duration threshold value, and the ratio of the number of cooling hidden danger durations exceeding the preset cooling hidden danger duration threshold value within the detection period is marked as the cooling hidden danger explosion table value.

[0047] Compare the values of the cooling hazard time table and the cooling hazard explosion value with the preset cooling hazard time table threshold and the preset cooling hazard explosion threshold respectively. If the cooling hazard time table value or the cooling hazard explosion value exceeds the corresponding preset threshold, it indicates that the alarm of the cooling anomaly alarm unit is not timely during the detection period, and then generate an alarm non - standard signal.

[0048] Furthermore, if neither the cooling hazard time table value nor the cooling hazard explosion value exceeds the corresponding preset threshold, during the alarm process of the cooling anomaly alarm unit, the actual alarm volume value is collected in real - time. Mark the deviation value of the actual alarm volume value from the corresponding volume matching value as the alarm difference value. Calculate the average value of all alarm difference values during the corresponding alarm process to obtain the alarm difference measurement value. Compare the alarm difference value with the preset alarm difference threshold, and mark the ratio of the number of alarm difference values exceeding the preset alarm difference threshold during the corresponding alarm process as the alarm risk value.

[0049] Compare the alarm difference measurement value and the alarm risk value with the preset alarm difference measurement threshold and the preset alarm risk threshold respectively. If the alarm difference measurement value or the alarm risk value exceeds the corresponding preset threshold, it indicates that the volume control condition of the cooling anomaly alarm unit during the corresponding alarm process is not good. Then mark the corresponding alarm process as the target process, obtain the number of target processes during the detection period and calculate the ratio of it to the total number of alarm processes to get the target detection value.

[0050] Calculate the alarm non - standard coefficient by weighted summation of the cooling hazard time table value, the cooling hazard explosion value and the target detection value. That is, assign corresponding preset weight coefficients to the cooling hazard time table value, the cooling hazard explosion value and the target detection value respectively. Multiply the cooling hazard time table value, the cooling hazard explosion value and the target detection value by the corresponding preset weight coefficients respectively, and mark the sum value of the three product results as the alarm non - standard coefficient. And the larger the value of the alarm non - standard coefficient, the worse the comprehensive alarm performance of the cooling anomaly alarm unit during the detection period.

[0051] Compare the alarm non - standard coefficient with the preset alarm non - standard coefficient threshold. If the alarm non - standard coefficient exceeds the preset alarm non - standard coefficient threshold, it indicates that the comprehensive alarm performance of the cooling anomaly alarm unit during the detection period is poor and does not meet the specification, and then generate an alarm non - standard signal. If the alarm non - standard coefficient does not exceed the preset alarm non - standard coefficient threshold, it indicates that the comprehensive alarm performance of the cooling anomaly alarm unit during the detection period is good, and then generate an alarm qualified signal.

[0052] Example 2: As Figure 2As shown, the difference between this embodiment and the first embodiment is that the cooling analysis output unit is communicatively connected to the cooling stability decision unit, the cooling analysis output unit sends the cooling abnormality alarm signal to the cooling stability decision unit, and the cooling stability decision unit analyzes the cooling stability status of the medium frequency furnace cooling system within a unit time;

[0053] A cooling high stability signal or a cooling low stability signal is generated through analysis, and the cooling high stability signal or the cooling low stability signal is sent to the remote monitoring center. When the backstage personnel receive the cooling low stability signal, the operation of the medium frequency furnace is suspended through the relevant operators, and the cause is investigated and analyzed, and reasonable improvement measures are made to the cooling system of the medium frequency furnace in time to ensure the cooling effect and reduce the operation risk of the medium frequency furnace. The specific analysis process of the cooling stability decision unit is as follows:

[0054] The number of times the abnormal cooling alarm signal is generated per unit time is obtained and marked as the cooling alarm value, and the cooling alarm value is numerically compared with the preset cooling alarm threshold. If the cooling alarm value exceeds the preset cooling alarm threshold, it indicates that the operation state of the intermediate frequency furnace cooling system is not good and the operation stability is poor, then a cooling low stability signal is generated;

[0055] If the cooling alarm value does not exceed the preset cooling alarm threshold, several detection periods are set within the unit time, and the duration of all detection periods is the same; if a cooling abnormality alarm signal is generated within the corresponding detection period, indicating that the operation performance of the medium frequency furnace cooling system during the corresponding detection period is poor, the corresponding detection period is marked as a characteristic period; if no cooling abnormality alarm signal is generated within the corresponding detection period, indicating that the operation performance of the medium frequency furnace cooling system during the corresponding detection period is good, the corresponding detection period is marked as a safe period;

[0056] The number of characteristic time periods between two adjacent groups of safety time periods is obtained and marked as a characteristic duration value, and the characteristic duration value is numerically compared with a preset characteristic duration threshold value. If the characteristic duration value exceeds the preset characteristic duration threshold value, the corresponding characteristic duration value is marked as a characteristic persistence value, and the number of characteristic persistence values ​​per unit time is marked as a persistence statistical value; and all characteristic persistence values ​​per unit time are averaged to obtain a characteristic persistence value;

[0057] The cooling stability coefficient is obtained by weighted summing the cooling alarm value, the maintenance deviation statistic value and the characteristic maintenance condition value; that is, the cooling alarm value, the maintenance deviation statistic value and the characteristic maintenance condition value are respectively assigned corresponding preset weight coefficients, and the cooling alarm value, the maintenance deviation statistic value and the characteristic maintenance condition value are respectively multiplied by the corresponding preset weight coefficients, and the three sets of product results are summed up to obtain the cooling stability coefficient; and the larger the value of the cooling stability coefficient is, the better the overall operating stability of the intermediate frequency furnace cooling system is;

[0058] Numerically compare the cooling stability coefficient with the preset cooling stability coefficient threshold. If the cooling stability coefficient exceeds the preset cooling stability coefficient threshold, it indicates that the operating state of the intermediate frequency furnace cooling system is poor and the operating stability is relatively low, then a cooling low-stability signal is generated; if the cooling stability coefficient does not exceed the preset cooling stability coefficient threshold, it indicates that the operating stability of the intermediate frequency furnace cooling system is relatively good overall, then a cooling high-stability signal is generated.

[0059] Embodiment 3: As Figure 2 shown, the difference between this embodiment and Embodiment 1 and Embodiment 2 is that the cooling stability decision unit is communicatively connected to the cooling risk auxiliary analysis unit. The cooling stability decision unit sends the cooling high-stability signal to the cooling risk auxiliary analysis unit, and when the cooling risk auxiliary analysis unit receives the cooling high-stability signal, it analyzes the cooling risk of the intermediate frequency furnace cooling system;

[0060] Through the analysis, a cooling high-risk signal or a cooling low-risk signal is generated, and the cooling high-risk signal or the cooling low-risk signal is sent to the remote monitoring center. When the background personnel receive the cooling high-risk signal, they strengthen the subsequent supervision of cooling anomalies to ensure the subsequent response efficiency and response effect, and further reduce the operating risk of the intermediate frequency furnace. The specific analysis process of the cooling risk auxiliary analysis unit is as follows:

[0061] Obtain the solution time for the corresponding cooling anomaly alarm signal. Among them, the larger the value of the solution time, the slower the solution efficiency for the corresponding cooling anomaly alarm signal; calculate the average value of all solution times within a unit time to obtain the solution performance value, and numerically compare the solution time with the preset solution time threshold, and mark the number of solution times exceeding the preset solution time threshold within a unit time as the solution anomaly value. Numerically compare the solution performance value and the solution anomaly value with the preset solution performance threshold and the preset solution anomaly threshold respectively;

[0062] If the solution performance value or the solution anomaly value exceeds the corresponding preset threshold, it indicates that the operating management risk of the intermediate frequency furnace cooling system is relatively large, then a cooling high-risk signal is generated; if both the solution performance value and the solution anomaly value do not exceed the corresponding preset threshold, it indicates that the operating management risk of the intermediate frequency furnace cooling system is relatively small, which is conducive to ensuring the safe and stable operation of the intermediate frequency furnace, then a cooling low-risk signal is generated.

[0063] Working principle of the present invention: During use, the monitoring unit of the intermediate frequency furnace monitors the cooling system of the intermediate frequency furnace. The cooling analysis output unit determines cooling anomalies based on the cooling monitoring data. When a cooling anomaly alarm signal is generated, an alarm is issued through the cooling anomaly alarm unit to promptly take corresponding adjustment measures for the cooling system of the intermediate frequency furnace, ensuring the cooling effect of the intermediate frequency furnace, which is beneficial to the safe and stable operation of the intermediate frequency furnace. Moreover, the alarm adaptive control unit adaptively controls the alarm volume of the cooling anomaly alarm unit to automatically and reasonably regulate the alarm volume to ensure the alarm effect and reduce energy consumption. Additionally, the alarm standardization evaluation unit analyzes the alarm standardization of the cooling anomaly alarm unit during the detection period. When an alarm non-standard signal is generated, the cooling anomaly alarm unit is inspected and repaired, and subsequent monitoring and management are strengthened to ensure the alarm timeliness and alarm effect of the cooling anomaly alarm unit, with a high level of intelligence.

[0064] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, enabling those skilled in the relevant technical field to understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The medium frequency furnace cooling abnormal alarm system based on online monitoring and analysis is characterized by: It includes an intermediate frequency furnace monitoring unit, a cooling analysis output unit, a cooling abnormality alarm unit, an alarm adaptive control unit and a remote monitoring center; the intermediate frequency furnace monitoring unit monitors the intermediate frequency furnace cooling system and sends the collected cooling monitoring data to the cooling analysis output unit; The cooling analysis output unit makes cooling abnormality judgment based on the cooling monitoring data, and when a cooling abnormality alarm signal is generated, it is sent to the cooling abnormality alarm unit and the remote monitoring center. The cooling abnormality alarm unit issues an alarm when receiving the cooling abnormality alarm signal, and the alarm adaptive control unit adaptively controls the alarm volume of the cooling abnormality alarm unit through analysis.

2. The medium frequency furnace cooling abnormality alarm system based on online monitoring and analysis according to claim 1 is characterized in that: The specific analysis and control process of the alarm adaptive control unit is as follows: A circle with a radius of P1 is drawn with the location of the cooling abnormality alarm unit as the center, and the drawn circular area is marked as the operating area; if there is no operator in the operating area, the alarm volume of the cooling abnormality alarm unit is adjusted to YLmax.

3. The medium frequency furnace cooling abnormality alarm system based on online monitoring and analysis according to claim 2 is characterized in that: If there is an operator in the operating area, the alarm reminder impact value is calculated by weighted summing the alarm distance value and the alarm noise value, the preset alarm reminder impact value range containing the corresponding alarm reminder impact value is defined as the pairing range, the volume standard value corresponding to the pairing range is marked as the volume matching value, and the alarm volume of the cooling abnormality alarm unit is adjusted to the volume matching value.

4. The medium frequency furnace cooling abnormality alarm system based on online monitoring and analysis according to claim 1 is characterized in that: The remote monitoring center is connected to the alarm standardization evaluation unit by communication. The alarm standardization evaluation unit is used to set a detection period, analyze the alarm standardization of the cooling abnormality alarm unit within the detection period, and generate an alarm non-standard signal or an alarm qualified signal accordingly.

5. The medium frequency furnace cooling abnormality alarm system based on online monitoring and analysis according to claim 4 is characterized in that: The specific analysis process of the alarm standardization evaluation unit is as follows: The cooling hidden danger table value and the cooling hidden danger explosion value are numerically compared with the preset cooling hidden danger table threshold and the preset cooling hidden danger explosion threshold respectively. If the cooling hidden danger table value or the cooling hidden danger explosion value exceeds the corresponding preset threshold, an alarm non-standard signal is generated.

6. The medium frequency furnace cooling abnormality alarm system based on online monitoring and analysis according to claim 5 is characterized in that: If the cooling hazard table value and the cooling hazard explosion table value do not exceed the corresponding preset thresholds, the alarm non-standard coefficient is calculated by weighted summing the cooling hazard table value, the cooling hazard explosion table value and the target detection value. If the alarm non-standard coefficient exceeds the preset alarm non-standard coefficient threshold, an alarm non-standard signal is generated; otherwise, an alarm qualified signal is generated.

7. The medium frequency furnace cooling abnormality alarm system based on online monitoring and analysis according to claim 1 is characterized in that: The cooling analysis output unit is communicatively connected to the cooling stability decision unit. The cooling analysis output unit sends the cooling abnormality alarm signal to the cooling stability decision unit. The cooling stability decision unit analyzes the cooling stability status of the medium frequency furnace cooling system within unit time and generates a cooling high stability signal or a cooling low stability signal through analysis.

8. The medium frequency furnace cooling abnormality alarm system based on online monitoring and analysis according to claim 7 is characterized in that: The specific analysis process of the cooling stability decision unit includes: The number of times the cooling abnormal alarm signal is generated per unit time is obtained and marked as the cooling alarm value. If the cooling alarm value exceeds the preset cooling alarm threshold, a cooling low stability signal is generated; if the cooling alarm value does not exceed the preset cooling alarm threshold, the cooling stability coefficient is numerically compared with the preset cooling stability coefficient threshold. If the cooling stability coefficient exceeds the preset cooling stability coefficient threshold, a cooling low stability signal is generated; otherwise, a cooling high stability signal is generated.

9. The medium frequency furnace cooling abnormality alarm system based on online monitoring and analysis according to claim 8 is characterized in that: The cooling stability decision unit is connected to the cooling risk auxiliary analysis unit in communication. When the cooling risk auxiliary analysis unit receives the cooling high stability signal, it analyzes the cooling risk of the intermediate frequency furnace cooling system. If the performance value or the abnormal value exceeds the corresponding preset threshold, a cooling high risk signal is generated. Otherwise a cool down low risk signal is generated.

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