Temperature monitoring method and system for electromagnetic energy heating unit

Abstract

The invention relates to the technical field of temperature sensor temperature monitoring, in particular to a temperature monitoring method and system for an electromagnetic energy heating unit, and the method comprises the steps: obtaining the temperature data of the pipe wall of a water outlet pipe of an electromagnetic heating furnace through an intelligent temperature sensor, and judging the working mode of the temperature data at the current moment, the difference condition of the temperature data in the heating mode and the heat preservation mode is analyzed, the abnormal index of the current moment is obtained, and temperature abnormal moment judgment is conducted on the current moment; when the temperature abnormal moment is in a heating mode, constructing a first shielding line fault weight at the current temperature abnormal moment; when the temperature abnormal moment is in a heat preservation mode, constructing a second shielded wire fault weight at the current temperature abnormal moment; and in a heating mode and a heat preservation mode, the fault weights of the two shielded wires are compared with preset threshold values, and the temperature abnormity fault reason is judged. The temperature monitoring precision of the electromagnetic energy heating unit can be improved, and the temperature fault reason can be accurately judged.

Description

Technical Field

[0001] The present application relates to the technical field of temperature monitoring by temperature sensors, and in particular to a temperature monitoring method and system for an electromagnetic energy heating unit. Background Art

[0002] The electromagnetic energy heating unit is a device that uses electromagnetic induction to generate eddy currents in the column to heat the heating element and convert electrical energy into thermal energy. The control module of the electromagnetic heating furnace will adjust the heating parameters in real time according to the currently monitored temperature data to keep the indoor temperature at the set temperature. In the process of monitoring the heating temperature of the electromagnetic heating furnace, the temperature sensor is usually installed at the heating element. However, the temperature sensor is easily affected by environmental factors and malfunctions, resulting in the collected temperature not accurately reflecting the actual temperature of the heating element, making it impossible for the electromagnetic heating furnace to accurately control the temperature.

[0003] In order to solve this problem, CN216161028U adds multiple groups of temperature sensors to the temperature control system of the electromagnetic heating furnace. By summing and medianing multiple temperature values, the monitored temperature is made more accurate. However, when the temperatures monitored by multiple temperature sensors deviate from the actual temperature, the accurate temperature cannot be obtained, and multiple temperature sensors need to be installed, making the temperature control system structure cumbersome. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a temperature monitoring method and system for an electromagnetic energy heating unit. The technical solutions adopted are as follows:

[0005] The present application provides a temperature monitoring method for an electromagnetic energy heating unit, comprising the following steps:

[0006] Obtain temperature data of the water outlet pipe wall of the electromagnetic heating furnace;

[0007] According to the distribution of temperature data acquired before the current moment, the working mode of the temperature data at the current moment is determined, and the working modes include heating mode and heat preservation mode. The difference between the temperature data in the heating mode and the heat preservation mode is analyzed to obtain the abnormal index at the current moment, and the temperature abnormality moment is determined at the current moment according to the abnormal index;

[0008] When the temperature is abnormal at the moment of heating mode, the difference and fluctuation degree of temperature data of multiple adjacent moments before the current moment are analyzed to construct the first shielding line fault weight at the current moment of temperature abnormality; when the temperature is abnormal at the moment of insulation mode, the local difference and fluctuation degree of temperature data in the insulation mode are analyzed, and the frequency domain characteristics of temperature data are combined to construct the second shielding line fault weight at the current moment of temperature abnormality;

[0009] In the heating and insulation modes, the cause of the abnormal temperature fault is determined by comparing the fault weights of the two shielded lines with the preset thresholds.

[0010] Preferably, the working mode of determining the temperature data at the current moment further includes:

[0011] Arrange the temperature data from the start of the electromagnetic heating furnace to the current sampling time in ascending order of time to form a temperature data sequence;

[0012] When the maximum value in the temperature data sequence is lower than the insulation threshold, the temperature data at the current moment is in heating mode;

[0013] When the maximum value in the temperature data sequence is higher than the warm-keeping threshold, the temperature data at the current moment is in the warm-keeping mode.

[0014] Preferably, the calculation process of the abnormal index at the current moment is:

[0015]

[0016] Wherein, G is the abnormal index at the current moment; X1 represents the temperature post-sequence, which is a sequence consisting of the first number of temperature data preset in the temperature data sequence; X2 represents the temperature pre-sequence, which is a sequence consisting of the remaining temperature data after removing all the temperature data in the temperature post-sequence; XS1 represents the heat preservation post-sequence, which is a sequence consisting of the second number of temperature data preset in the heat preservation sequence; XS2 represents the heat preservation pre-sequence, which is a sequence consisting of the remaining temperature data after removing all the temperature data in the heat preservation post-sequence; coss() represents the cosine similarity; X max It represents the maximum value in the temperature data sequence; s is the insulation threshold, where the insulation threshold is obtained through the configuration parameters of the electromagnetic heating furnace, and the temperature data is filtered according to the insulation threshold to form an insulation sequence.

[0017] Preferably, the construction of the insulation sequence further comprises:

[0018] The first temperature data from left to right in the temperature data sequence that is greater than or equal to the insulation threshold is taken as the truncated data, and the truncated data and all subsequent temperature data constitute the insulation sequence.

[0019] Preferably, the determination of the temperature abnormality at the current moment further includes:

[0020] If the current moment is in heating mode and the abnormality index at the current moment is greater than the threshold value w1, the current moment is regarded as the temperature abnormality moment; if the current moment is in insulation mode and the abnormality index at the current moment is greater than the threshold value w2, the current moment is regarded as the temperature abnormality moment, wherein w1 and w2 are preset values ​​greater than zero, and the threshold value w1 is less than the threshold value w2.

[0021] Preferably, the calculation process of the first shielded line fault weight at the current temperature abnormality moment is:

[0022]

[0023] Where, E1 represents the fault weight of the first shielding line at the current temperature abnormality moment; U X1 is the average of the absolute values ​​of all data in the first-order difference sequence of the temperature post-sequence; r X1 represents the variance of the temperature sequence; h X1 It represents the average value of the temperature sequence; s is the insulation threshold; μ is a positive number to prevent the denominator from being zero.

[0024] Preferably, the calculation process of the fault weight of the second shielded line at the current temperature abnormality moment is:

[0025]

[0026] Where, E2 is the fault weight of the second shielding line at the current temperature abnormality moment; U XS1 is the average of the absolute values ​​of all data in the first-order difference sequence of the heat preservation sequence; r XS1 is the variance of the post-sequence after heat preservation; h XS1 is the average value of the post-heat preservation sequence; P XS2 represents the average value of all elements in the heat preservation sequence; n XS1 It represents the maximum value of energy intensity in the frequency response of the post-insulation sequence.

[0027] Preferably, the process of determining the cause of the abnormal temperature failure includes:

[0028] In the heating mode, if the current moment is a temperature abnormality moment and the fault weight of the first shielding line is greater than or equal to the first threshold, the cause of the temperature abnormality at the current moment is that the shielding line is damaged; if the current moment is a temperature abnormality moment and the fault weight of the first shielding line is less than the first threshold, the cause of the temperature abnormality at the current moment is a line fault of the temperature sensor.

[0029] Preferably, the process of determining the cause of the abnormal temperature failure also includes:

[0030] In the insulation mode, if the current moment is a temperature abnormality moment and the second shielding line fault weight is greater than or equal to the second threshold, the cause of the temperature abnormality at the current moment is that the shielding line is damaged; if the current moment is a temperature abnormality moment and the second shielding line fault weight is less than the second threshold, the cause of the temperature abnormality at the current moment is a line fault of the temperature sensor.

[0031] An embodiment of the present application also provides a temperature monitoring system for an electromagnetic energy heating unit, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.

[0032] From the above, it can be seen that the temperature monitoring method and system of the electromagnetic energy heating unit provided by the present application have at least the following features:

[0033] Beneficial effects:

[0034] In order to solve the problem that the monitoring data caused by the temperature sensor failure cannot accurately reflect the actual temperature of the water pipe wall, the present application judges the temperature anomalies of the electromagnetic heating furnace in the heating mode and the insulation mode separately, avoiding treating the temperature trend change when the working mode is changed as the temperature anomaly, thereby making the temperature anomaly judgment result more accurate; based on the distinctive characteristics of the temperature anomaly data when the shielding wire is damaged and the line fails, the first shielding wire fault weight and the second shielding wire fault weight are constructed, so that when the temperature data is abnormal, the cause of the temperature fault can be accurately judged, the fault can be repaired in a timely and targeted manner, and the monitoring temperature of the temperature sensor can be quickly restored to normal. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 A flow chart of the steps of a temperature monitoring method for an electromagnetic energy heating unit provided in the present application. DETAILED DESCRIPTION

[0037] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the temperature monitoring method and system of an electromagnetic energy heating unit proposed in the present application, its specific implementation method, structure, characteristics and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0038] Unless otherwise specified and limited, terms such as "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such articles or devices. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the article or device including the element. In addition, the term "and\or" used herein includes any and all combinations of one or more related listed items. All technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of this application.

[0039] The following is a detailed description of a temperature monitoring method and system for an electromagnetic energy heating unit provided by the present application in conjunction with the accompanying drawings.

[0040] See also Figure 1 , which shows a flow chart of a temperature monitoring method for an electromagnetic energy heating unit provided by an embodiment of the present application, including the following steps:

[0041] Step 1: Obtain the temperature data of the water outlet pipe wall of the electromagnetic heating furnace.

[0042] The electromagnetic heating furnace uses the principle of electromagnetic induction heating to quickly heat cold water to 85 degrees, so that the indoor temperature can reach above 30 degrees. During the heating process, in order to achieve high-precision regulation of the heating temperature, the outlet water temperature needs to be monitored in real time.

[0043] The temperature sensor is installed on the wall of the water outlet pipe to obtain the temperature of the water outlet pipe wall in real time. Since the water outlet pipe wall is in direct contact with the hot water in the pipe, the temperature of the water outlet pipe wall can be used to indirectly represent the outlet water temperature. In this embodiment, the acquisition frequency of the temperature sensor is 10Hz. The collected temperature data is used as the input of the denoising algorithm to denoise the temperature data. Among them, there are many denoising algorithms: mean filtering, median filtering and Kalman filtering. In this embodiment, the median filtering algorithm is used to filter the temperature data to improve the data purity and reduce the influence of noise. The specific median filtering process is an existing well-known technology and will not be repeated in this embodiment.

[0044] Step 2: According to the distribution of temperature data obtained before the current moment, determine the working mode of the temperature data at the current moment, the working mode includes heating mode and insulation mode, analyze the difference in temperature data under heating and insulation modes, obtain the abnormal index of the current moment, and determine the temperature abnormality at the current moment according to the abnormal index.

[0045] The temperature sensor installed inside the electromagnetic heating furnace is very easy to be damaged due to being in a high temperature environment for a long time. The causes of temperature sensor failure include strong electromagnetic interference (shield wire damage) and line failure. When the temperature sensor fails, the monitored temperature data cannot accurately represent the temperature of the hot water. In order to determine whether the temperature sensor is faulty, it is necessary to analyze the temperature data collected by the temperature sensor to determine whether the temperature sensor is faulty and to determine the fault condition.

[0046] The electromagnetic heating furnace is divided into heating mode and insulation mode. In heating mode, the temperature data will show an upward trend. When the temperature rises to a certain threshold, it will switch to insulation mode. In insulation mode, the water pump alternates between working and stopping. The temperature data will fluctuate and have a strong periodicity. However, the temperature sensor will be affected by the external environment temperature, such as air flow, which will cause slight fluctuations in the collected temperature data. In addition, the water temperature in the outlet pipe may be uneven, which will also cause slight fluctuations in the data.

[0047] During the operation of the electromagnetic heating furnace, strong electromagnetic interference will be generated. In order to prevent the temperature sensor from being affected by electromagnetic interference, the sensor's signal line will use a shielded line to shield the electromagnetic interference. However, due to the high temperature inside the electromagnetic heating furnace, the shielded line is prone to aging and thus loses its shielding function, resulting in electromagnetic interference during the temperature sensor's data collection process, causing errors in the temperature data. When the temperature data collected by the temperature sensor is affected by electromagnetic interference, the data will frequently jump, and there may also be an overall offset, and the temperature data will jump greatly in a short period of time. When the temperature sensor's line fails, such as an open circuit or a short circuit, the collected temperature data will have an abnormally high or abnormally low value, and may be a fixed value.

[0048] First, in this embodiment, the temperature data from the start of the electromagnetic heating furnace to the current sampling time are arranged in ascending order of time to form a temperature data sequence. When the maximum value in the temperature data sequence is lower than the insulation threshold s, the temperature data at the current moment is in the heating mode; when the maximum value in the temperature data sequence is higher than the insulation threshold s, the temperature data at the current moment is in the insulation mode.

[0049] Furthermore, in this embodiment, the first temperature data from left to right in the temperature data sequence that is greater than or equal to the insulation threshold s is used as the truncated data. In this embodiment, the sequence consisting of the truncated data and all the temperature data after the truncated data is used as the insulation sequence. The insulation threshold s is obtained through the configuration parameters of the electromagnetic heating furnace itself. In this embodiment, the insulation threshold of the electromagnetic heating furnace is 25°C.

[0050] Therefore, the difference in temperature data under the heating and heat preservation modes is analyzed to construct an abnormality index at the current moment, which is used to determine whether the monitored temperature data is abnormal. In this embodiment, the specific calculation formula of the abnormality index at the current moment is:

[0051]

[0052] Wherein, G is the abnormal index at the current moment; X1 represents the temperature post-sequence, which is a sequence consisting of a preset first number of temperature data in the temperature data sequence. In this embodiment, the preset first number is set to Wherein, k is the total number of temperature data in the temperature data sequence, int() is a rounding function used to round the input data to an integer, p is a preset range limiting coefficient, the value range of p is [2,10], and 5 is taken in this embodiment; X2 represents a temperature pre-sequence sequence, and the temperature pre-sequence sequence is a sequence of temperature data remaining after removing all temperature data in the temperature post-sequence sequence from the temperature data sequence; X S1Indicates the post-holding sequence, which is a sequence composed of the subsequent preset second number of temperature data in the holding sequence. In this embodiment, the preset second number is where j is the total number of temperature data in the holding sequence; XS2 represents the pre-holding sequence, which is a sequence composed of the remaining temperature data in the holding sequence after removing all the temperature data in the post-holding sequence; coss( ) represents the cosine similarity; X max represents the maximum value in the temperature data sequence.

[0053] Calculating the heating mode and the holding mode separately is to distinguish the trend change of the temperature sequence under normal conditions from the trend change of the temperature sequence under the fault state. When X max < s, the current working mode is the heating mode, and the temperature data is in an upward trend. The smaller the value of coss(X1, X2), the greater the fluctuation of the temperature data in the temperature data sequence, indicating a higher possibility of abnormal temperature data. When X max ≥ s, the current working mode is the holding mode, and the temperature data is in a stable fluctuation state. The smaller the value of cos(XS1, XS2), the greater the difference between the front and rear temperature data in the holding sequence, indicating abnormal temperature data.

[0054] So far, the anomaly index at the current moment can be calculated according to the above process of this embodiment. If the working mode corresponding to the current moment is the heating mode and the anomaly index at the current moment is greater than the threshold w1, the current moment is taken as the temperature anomaly moment; if the working mode corresponding to the current moment is the holding mode and the anomaly index at the current moment is greater than the threshold w2, then the current moment is taken as the temperature anomaly moment. Among them, w1 is less than w2. In this embodiment, the values of the thresholds w1 and w2 are 1.5 and 3 respectively.

[0055] Step 3: When the temperature anomaly moment is in the heating mode, analyze the difference and fluctuation degree of the temperature data at multiple adjacent moments before the current moment, and construct the first shielding line fault weight of the current temperature anomaly moment; when the temperature anomaly moment is in the holding mode, analyze the local difference and fluctuation degree of the temperature data in the holding mode, and combine the frequency domain characteristics of the temperature data to construct the second shielding line fault weight of the current temperature anomaly moment.

[0056] Furthermore, it is necessary to determine the cause of the temperature anomaly. When the shielding line of the temperature sensor is damaged, causing the temperature data to be subject to electromagnetic interference, the temperature data frequently jumps, and the temperature data has a large difference. If the temperature anomaly is in heating mode, then the two adjacent data in the temperature post-sequence sequence will have a large difference, which will increase the absolute value of the first-order difference sequence of the temperature post-sequence sequence, and the variance of the temperature post-sequence sequence will also be large; if the temperature anomaly is in insulation mode, then not only will the absolute value of the first-order difference sequence in the recent period increase, but the periodicity of the temperature data in the recent period will also be destroyed, resulting in weakened periodicity. When the temperature sensor circuit is short-circuited or open-circuited, regardless of whether the temperature anomaly is in heating mode or insulation mode, the temperature data will have abnormally high or low values, and the data in the recent period may be a fixed value, so when the temperature data becomes a fixed value, the periodicity of the data will be enhanced.

[0057] Therefore, when the temperature abnormality moment is the heating moment, the first shielding line fault weight at the current temperature abnormality moment is constructed to characterize the possibility that the cause of the current temperature abnormality moment is shielding line damage. Specifically, the specific calculation formula of the first shielding line fault weight at the current temperature abnormality moment is:

[0058]

[0059] Where, E1 represents the fault weight of the first shielding line at the current temperature abnormality moment; U X1 is the average of the absolute values ​​of all data in the first-order difference sequence of the temperature post-sequence; r X1 represents the variance of the temperature sequence; h X1 represents the average value of the temperature post-sequence; s is the temperature preservation threshold; μ is a positive number to prevent the denominator from being zero, and its value range is any positive number less than 0.1. In this embodiment, it is 0.01.

[0060] Understandably, U X1 The larger the value is, the more frequent the temperature jumps are in the recent period, indicating that the reason for the abnormal temperature at the current moment is likely to be the shielding line damage; X1 The larger the value is, the greater the difference in the temperature data in the recent period is, and the greater the possibility that the temperature anomaly at the current moment is caused by the damage of the shielding line; It is half of the keep warm threshold, which is used to approximate the average temperature in heating mode; The larger the value is, the more likely it is that the temperature data in recent time is abnormally high or low, which means that the abnormal temperature at the current moment is caused by a line fault.

[0061] Further, for the insulation post-sequence, in this embodiment, the insulation post-sequence is used as the input of the discrete Fourier transform (DFT) algorithm to obtain the frequency response of the insulation post-sequence in the frequency domain. The DFT algorithm is a well-known technology, and the specific process is not repeated here. When the temperature abnormality moment is the insulation moment, the second shielding line fault weight at the current temperature abnormality moment is constructed to characterize the possibility that the cause of the temperature abnormality at the current moment is the shielding line damage. In this embodiment, the specific calculation formula for the second shielding line fault weight at the current temperature abnormality moment is:

[0062]

[0063] Where, E2 is the fault weight of the second shielding line at the current temperature abnormality moment; U XS1 is the average of the absolute values ​​of all data in the first-order difference sequence of the heat preservation sequence; r XS1 is the variance of the post-sequence after heat preservation; h XS1 is the average value of the post-heat preservation sequence; P XS2 represents the average value of all elements in the heat preservation sequence; n XS1 It represents the maximum value of energy intensity in the frequency response of the post-insulation sequence.

[0064] U XS1 The larger the value is, the more frequent the temperature jumps are in the recent period, indicating that the reason for the abnormal temperature at the current moment is likely to be the shielding line damage; XS1 The larger the value is, the greater the difference in the temperature data in the recent period is. Therefore, the greater the possibility that the temperature anomaly at the current moment is caused by the damage of the shielding wire. XS1 -P XS2 The larger the value of |, the more likely it is that the data in the recent period is abnormally high or low compared to the data in the previous period, which means that the temperature abnormality of the temperature sensor at the current moment is caused by a line fault. XS1 The smaller the value, the weaker the periodicity of the temperature data in recent time, and the greater the possibility that the temperature abnormality of the temperature sensor at the current moment is caused by the damage of the shielding wire.

[0065] Step 4: In the heating and insulation modes, the cause of the abnormal temperature fault is determined by comparing the fault weights of the two shielded lines with the preset thresholds.

[0066] Furthermore, for the convenience of analysis, in this embodiment, the first shielding line fault weight and the second shielding line fault weight are respectively normalized to ensure that the normalized values ​​are within the range of 0 to 1. The specific process is an existing well-known technology and will not be repeated in this embodiment. Therefore, in the heating mode, if the current moment is a temperature abnormality moment, the alarm device is triggered to sound an alarm. At the same time, when the first shielding line fault weight E1 is greater than or equal to the first threshold value q1, the reason for the temperature abnormality at the current moment is that the shielding line is damaged, triggering the first signal light to light up; when the first shielding line fault weight E1 is less than the first threshold value q1, the reason for the temperature abnormality at the current moment is a line fault of the temperature sensor, triggering the second signal light to light up.

[0067] In the insulation mode, if the current moment is a temperature abnormality moment, the alarm device is triggered to sound an alarm. At the same time, when the second shielding line fault weight E2 is greater than or equal to the second threshold q2, the reason for the temperature abnormality at the current moment is that the shielding line is damaged, triggering the first signal light to light up; when the second shielding line fault weight E2 is less than the second threshold q2, the reason for the temperature abnormality at the current moment is a line fault of the temperature sensor, triggering the second signal light to light up. Among them, the first threshold q1 and the second threshold q2 are selected by the implementer in the actual application scenario. In this embodiment, the values ​​3 and 5 are taken.

[0068] Based on the same inventive concept as the above method, an embodiment of the present application also provides a temperature monitoring system for an electromagnetic energy heating unit, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the steps of any one of the above-mentioned temperature monitoring methods for an electromagnetic energy heating unit are implemented.

[0069] It is to be understood that the sequence of the embodiments of the present application described above is for description only and does not represent the advantages and disadvantages of the embodiments. The above describes specific embodiments of the present specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0070] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0071] The above content is only an implementation method of the present application and is not intended to limit the scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly used in other related technical fields, are also included in the protection scope of the present application.

Claims

1. A temperature monitoring method for an electromagnetic energy heating unit, characterized in that: The following steps are involved: Obtain temperature data of the water outlet pipe wall of the electromagnetic heating furnace; According to the distribution of temperature data acquired before the current moment, the working mode of the temperature data at the current moment is determined, and the working modes include heating mode and heat preservation mode. The difference between the temperature data in the heating mode and the heat preservation mode is analyzed to obtain the abnormal index at the current moment, and the temperature abnormality moment is determined at the current moment according to the abnormal index; When the temperature is abnormal and in heating mode, the difference and fluctuation of temperature data of multiple adjacent moments before the current moment are analyzed to construct the first shielding line fault weight at the current temperature abnormal moment; When the temperature is abnormal and the temperature is in the insulation mode, the local difference and fluctuation degree of the temperature data in the insulation mode are analyzed, and the fault weight of the second shielding line at the current temperature abnormality is constructed by combining the frequency domain characteristics of the temperature data; In the heating and insulation modes, the cause of the abnormal temperature fault is determined by comparing the fault weights of the two shielded lines with the preset thresholds.

2. A temperature monitoring method for an electromagnetic energy heating unit as claimed in claim 1, characterized in that: The working mode of determining the temperature data at the current moment further includes: Arrange the temperature data from the start of the electromagnetic heating furnace to the current sampling time in ascending order of time to form a temperature data sequence; When the maximum value in the temperature data sequence is lower than the insulation threshold, the temperature data at the current moment is in heating mode; When the maximum value in the temperature data sequence is higher than the warm-keeping threshold, the temperature data at the current moment is in the warm-keeping mode.

3. A temperature monitoring method for an electromagnetic energy heating unit as claimed in claim 2, characterized in that: The calculation process of the abnormal index at the current moment is: Wherein, G is the abnormal index at the current moment; X1 represents the temperature post-sequence, which is a sequence consisting of the first number of temperature data preset in the temperature data sequence; X2 represents the temperature pre-sequence, which is a sequence consisting of the remaining temperature data after removing all the temperature data in the temperature post-sequence; XS1 represents the heat preservation post-sequence, which is a sequence consisting of the second number of temperature data preset in the heat preservation sequence; XS2 represents the heat preservation pre-sequence, which is a sequence consisting of the remaining temperature data after removing all the temperature data in the heat preservation post-sequence; coss() represents the cosine similarity; X max It represents the maximum value in the temperature data sequence; s is the insulation threshold, where the insulation threshold is obtained through the configuration parameters of the electromagnetic heating furnace, and the temperature data is filtered according to the insulation threshold to form an insulation sequence.

4. A temperature monitoring method for an electromagnetic energy heating unit as claimed in claim 3, characterized in that: The construction of the insulation sequence further includes: The first temperature data from left to right in the temperature data sequence that is greater than or equal to the insulation threshold is taken as the truncated data, and the truncated data and all subsequent temperature data constitute the insulation sequence.

5. The temperature monitoring method of an electromagnetic energy heating unit according to claim 1, characterized in that: The determination of the temperature abnormality at the current moment further includes: If the current moment is in heating mode and the abnormality index at the current moment is greater than the threshold value w1, the current moment is regarded as the temperature abnormality moment; if the current moment is in insulation mode and the abnormality index at the current moment is greater than the threshold value w2, the current moment is regarded as the temperature abnormality moment, wherein w1 and w2 are preset values ​​greater than zero, and the threshold value w1 is less than the threshold value w2.

6. A temperature monitoring method for an electromagnetic energy heating unit as claimed in claim 3, characterized in that: The calculation process of the first shielded line fault weight at the current temperature abnormality moment is: Where, E1 represents the fault weight of the first shielding line at the current temperature abnormality moment; U X1 is the average of the absolute values ​​of all data in the first-order difference sequence of the temperature post-sequence; r X1 represents the variance of the temperature sequence; h X1 It represents the average value of the temperature sequence; s is the insulation threshold; μ is a positive number to prevent the denominator from being zero.

7. A temperature monitoring method for an electromagnetic energy heating unit as claimed in claim 3, characterized in that: The calculation process of the fault weight of the second shielded line at the current temperature abnormality moment is: Where, E2 is the fault weight of the second shielding line at the current temperature abnormality moment; U XS1 is the average of the absolute values ​​of all data in the first-order difference sequence of the heat preservation sequence; r XS1 is the variance of the post-sequence after heat preservation; h XS1 is the average value of the post-heat preservation sequence; P XS2 represents the average value of all elements in the heat preservation sequence; n XS1 It represents the maximum value of energy intensity in the frequency response of the post-insulation sequence.

8. A temperature monitoring method for an electromagnetic energy heating unit as claimed in claim 1, characterized in that: The process of determining the cause of the abnormal temperature fault includes: In the heating mode, if the current moment is a temperature abnormality moment and the fault weight of the first shielding line is greater than or equal to the first threshold, the cause of the temperature abnormality at the current moment is that the shielding line is damaged; if the current moment is a temperature abnormality moment and the fault weight of the first shielding line is less than the first threshold, the cause of the temperature abnormality at the current moment is a line fault of the temperature sensor.

9. A temperature monitoring method for an electromagnetic energy heating unit as claimed in claim 1, characterized in that: The process of determining the cause of the abnormal temperature fault also includes: In the insulation mode, if the current moment is a temperature abnormality moment and the second shielding line fault weight is greater than or equal to the second threshold, the cause of the temperature abnormality at the current moment is that the shielding line is damaged; if the current moment is a temperature abnormality moment and the second shielding line fault weight is less than the second threshold, the cause of the temperature abnormality at the current moment is a line fault of the temperature sensor.

10. A temperature monitoring system for an electromagnetic energy heating unit, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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