Method and device for monitoring temperature of power generation device, storage medium and electronic equipment

Abstract

The invention relates to a method and device for monitoring the temperature of a power generation device, a storage medium and electronic equipment, and the method comprises the steps: arranging redundant temperature sensors, isolating the arranged temperature sensors, and setting a corresponding signal channel for each temperature sensor; each signal channel is used for receiving a temperature signal collected by a temperature sensor, filtering is carried out, a first filtering temperature signal is compensated according to a temperature compensation circuit and then signal amplification is carried out to obtain a filtering temperature amplification signal, and then filtering is carried out to obtain a second filtering temperature signal; according to a second filtering temperature signal of the redundant temperature sensor arranged at the same temperature sampling point, a verification filtering temperature signal of the same temperature sampling point is obtained according to a verification strategy; and performing linearization processing on the verification filtering temperature signal based on a linearization algorithm to obtain a linear temperature signal, and performing analog-to-digital conversion on the linear temperature signal to obtain a digital temperature signal for transmission. The temperature monitoring precision can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of high-temperature membrane fuel cells, and in particular to a method, a device, a storage medium and an electronic device for monitoring the temperature of a power generation device. Background Art

[0002] With the development of green and low-carbon, power generation devices, especially high-temperature membrane fuel cell (HT-MFC, High Temperature Methanol Fuel Cell) power generation devices, are widely used in the fields of methanol reforming and hydrogen power generation. Among them, temperature is an important factor affecting the performance of high-temperature membrane fuel cell power generation devices. Therefore, temperature monitoring of high-temperature membrane fuel cell power generation devices is crucial to the regulation of power generation performance of power generation devices. At present, when monitoring the temperature of high-temperature membrane fuel cell power generation devices, traditional temperature sensors such as ordinary thermocouple sensors, thermistor temperature sensors or digital temperature sensors are generally used. However, traditional temperature sensors often face problems such as signal instability, noise interference and decreased accuracy in environments with high temperature, strong electromagnetic interference and power supply fluctuations. Especially in the temperature range of -40℃ to 800℃, the accurate conversion and stable transmission of the collected temperature signal are crucial to the stability of the high-temperature membrane fuel cell power generation device. The temperature signal collected by the traditional temperature sensor that relies on software processing has poor signal quality and insufficient interference suppression ability, which makes it difficult for the traditional temperature sensor to operate stably in a complex environment, thereby making the temperature monitoring accuracy of the high-temperature membrane fuel cell power generation device low, affecting the power generation performance of the high-temperature membrane fuel cell power generation device. Summary of the invention

[0003] In view of this, the present invention provides a method, device, storage medium and electronic device for monitoring the temperature of a power generation device.

[0004] Specifically, the present invention is achieved through the following technical solutions:

[0005] According to a first aspect of the present invention, a method for monitoring the temperature of a power generation device is provided. The method for monitoring the temperature of a power generation device comprises:

[0006] Redundant temperature sensors are arranged on the high-temperature membrane fuel cell power generation device, each of the arranged temperature sensors is isolated, and a corresponding signal channel is set for each temperature sensor;

[0007] Using each signal channel to receive the temperature signal collected by the arranged temperature sensor, the signal is transmitted to the first low-pass filter for filtering to obtain a first filtered temperature signal, and the first filtered temperature signal is compensated according to a preset temperature compensation circuit;

[0008] Amplifying the compensated first filtered temperature signal by using an operational amplifier to obtain a filtered temperature amplified signal, transmitting the signal to a second low-pass filter for filtering to obtain a second filtered temperature signal;

[0009] According to the second filtered temperature signal of the redundant temperature sensor arranged at the same temperature sampling point, according to the preset verification strategy, the verification filtered temperature signal of the same temperature sampling point is obtained by using the data verification chip;

[0010] Based on a preset linearization algorithm, the verification filtered temperature signal is linearized to obtain a linear temperature signal, and the linear temperature signal is converted into a digital signal using an analog-to-digital converter to obtain a digital temperature signal for transmission.

[0011] Optionally, the arrangement of redundant temperature sensors on the high-temperature membrane fuel cell power generation device includes:

[0012] K-type thermocouple sensors are arranged in the cell stack, gas flow path, cooling system and external environment of the high-temperature membrane fuel cell power generation device, respectively. At the same position, multiple K-type thermocouple sensors are arranged to form redundancy.

[0013] Optionally, isolating each deployed temperature sensor includes:

[0014] Use a DC-DC isolation converter to isolate the power supply of each temperature sensor.

[0015] The signal channels corresponding to the deployed temperature sensors are isolated by using isolation chips.

[0016] Optionally, compensating the first filtered temperature signal according to a preset temperature compensation circuit includes:

[0017] Acquire the ambient temperature, and perform temperature compensation on the first filtered temperature signal using a temperature compensation circuit according to a preset ambient temperature and a compensation strategy of a temperature sensor;

[0018] The accumulated working time of the temperature sensor is obtained, and based on the preset time and the drift strategy of the temperature sensor, the temperature compensation circuit is used to perform drift compensation on the first filtered temperature signal.

[0019] Optionally, the step of obtaining the verification filtered temperature signal of the same temperature sampling point by using a data verification chip according to a preset verification strategy includes:

[0020] According to the temperature sampling point identifier carried in the second filtered temperature signal, a plurality of second filtered temperature signals corresponding to the same temperature sampling point identifier are acquired;

[0021] If there is an empty second filtered temperature signal among the plurality of second filtered temperature signals, terminating the acquisition of the temperature sensor corresponding to the empty second filtered temperature signal;

[0022] Selecting a second filtered temperature signal as a reference signal from other second filtered temperature signals after filtering out the empty second filtered temperature signal, and calculating a signal difference between other second filtered temperature signals and the reference signal;

[0023] Determine whether the number of other second filtered temperature signals whose signal difference exceeds the preset difference threshold exceeds a preset reference threshold, and if so, determine to terminate the acquisition of the temperature sensor corresponding to the reference signal; if not, determine to terminate the acquisition of the temperature sensor corresponding to the second filtered temperature signal other than the reference signal in the signal difference;

[0024] From the plurality of second filtered temperature signals, filter out the second filtered temperature signal corresponding to the temperature sensor where the acquisition is terminated, to obtain a filtered temperature signal to be verified;

[0025] The core verification filtered temperature signal is averaged to obtain a verification filtered temperature signal.

[0026] Optionally, the method further comprises:

[0027] After determining to terminate the collection of the temperature sensor, query whether there is a temperature sensor whose status is marked as normal and not enabled in the temperature sensor set corresponding to the temperature sampling point identifier, and if so, enable the temperature sensor.

[0028] Optionally, the linearizing the verification filtered temperature signal based on a preset linearization algorithm to obtain a linear temperature signal includes:

[0029] Get the temperature-voltage mapping relationship of the K-type thermocouple sensor;

[0030] Obtaining a voltage range for conversion set by the linearization algorithm;

[0031] Acquire a verification filter temperature signal representing a temperature signal collected by a K-type thermocouple sensor, and linearize the verification filter temperature signal based on the minimum voltage of the K-type thermocouple sensor, the maximum voltage of the K-type thermocouple sensor, and the voltage range for conversion in a temperature-voltage mapping relationship to obtain a linearized voltage signal;

[0032] Based on the temperature-voltage mapping relationship and the linearized voltage signal, a linear temperature signal is obtained.

[0033] The method for monitoring the temperature of the power generation device in the technical solution is to arrange redundant temperature sensors on the high-temperature membrane fuel cell power generation device, isolate each arranged temperature sensor, and set a corresponding signal channel for each temperature sensor; use each signal channel to receive the temperature signal collected by the arranged temperature sensor, transmit it to the first low-pass filter for filtering, obtain the first filtered temperature signal, and compensate the first filtered temperature signal according to the preset temperature compensation circuit; use the operational amplifier to amplify the compensated first filtered temperature signal to obtain the filtered temperature amplified signal, transmit it to the second low-pass filter for filtering, and obtain the second filtered temperature signal; according to the second filtered temperature signal of the redundant temperature sensor arranged at the same temperature sampling point, according to the preset verification strategy, use the data verification chip to obtain the verification filter temperature signal of the same temperature sampling point; based on the preset linearization algorithm, linearize the verification filter temperature signal to obtain the linear temperature signal, use the analog-to-digital converter to convert the linear temperature signal to obtain the digital temperature signal for transmission. In this way, through the arrangement of redundant temperature sensors, power isolation design, low-pass filtering and linearization processing, the signal conversion accuracy and anti-interference ability can be effectively improved, thereby improving the temperature monitoring accuracy.

[0034] According to a second aspect of the present invention, there is provided a device for monitoring the temperature of a power generation device, the device for monitoring the temperature of a power generation device comprising:

[0035] A sensor setting module is used to arrange redundant temperature sensors on the high-temperature membrane fuel cell power generation device, isolate each arranged temperature sensor, and set a corresponding signal channel for each temperature sensor;

[0036] The temperature compensation module is used to use each signal channel to receive the temperature signal collected by the arranged temperature sensor, transmit it to the first low-pass filter for filtering, obtain the first filtered temperature signal, and compensate the first filtered temperature signal according to the preset temperature compensation circuit;

[0037] A filtering module, used for amplifying the compensated first filtered temperature signal by using an operational amplifier to obtain a filtered temperature amplified signal, and transmitting the signal to a second low-pass filter for filtering to obtain a second filtered temperature signal;

[0038] A data verification module is used to obtain the verification filtered temperature signal of the same temperature sampling point using a data verification chip according to a second filtered temperature signal of a redundant temperature sensor arranged at the same temperature sampling point and a preset verification strategy;

[0039] The analog-to-digital conversion module is used to perform linear processing on the verification filtered temperature signal based on a preset linearization algorithm, obtain a linear temperature signal, and use an analog-to-digital converter to perform analog-to-digital conversion on the linear temperature signal to obtain a digital temperature signal for transmission.

[0040] According to a third aspect of the present invention, there is provided a storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for monitoring the temperature of a power generation device in any possible implementation of the first aspect.

[0041] According to a fourth aspect of the present invention, there is provided an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the method for monitoring the temperature of a power generation device in any possible implementation of the first aspect are implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0044] Figure 1 A schematic flow chart of a method for monitoring the temperature of a power generation device provided by an embodiment of the present invention;

[0045] Figure 2 A schematic diagram of a device for monitoring the temperature of a power generation device provided by an embodiment of the present invention;

[0046] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0048] In the related art, the method of using conventional temperature sensors such as ordinary thermocouple sensors, thermistor temperature sensors or digital temperature sensors to sample the temperature of high-temperature membrane fuel cell power generation devices is prone to drift and noise in the environment of high temperature, strong electromagnetic interference and power supply fluctuations, making the signal unstable and the accuracy reduced. For example, the temperature sensor cannot stably measure when the cold end temperature changes, and it is prone to drift, resulting in inaccurate collected temperature signals; at the same time, electromagnetic interference in high temperature environments affects the low voltage output of the temperature sensor, resulting in increased signal noise and unstable measurement results; further, the noise in the power supply will couple with the temperature signal collected by the temperature sensor, increasing the instability of the temperature signal.

[0049] In this embodiment, the temperature of the methanol reforming hydrogen production process in the high-temperature membrane fuel cell power generation device is precisely monitored to ensure a stable supply of hydrogen, and the continuous and stable operation of the high-temperature membrane fuel cell power generation device is guaranteed according to the monitored temperature, thereby providing a temperature monitoring method for the high-temperature membrane fuel cell power generation device that can efficiently and stably convert temperature signals and enhance anti-interference capabilities. By converting the detected temperature (-40 to 800°C) analog signal of the high-temperature membrane fuel cell power generation device into an engineering standard DC0 to 5V analog signal, and then performing analog-to-digital conversion, the temperature signal is anti-interference and anti-high temperature real-time transmission is achieved, ensuring high-precision proportional, integral and derivative (PID) regulation of the temperature signal control, and ensuring stable and efficient operation of the temperature signal sampling.

[0050] See also Figure 1 , an embodiment of the present invention provides a method for monitoring the temperature of a power generation device, the method may include the following steps:

[0051] S101, deploying redundant temperature sensors on the high-temperature membrane fuel cell power generation device, isolating each deployed temperature sensor, and setting a corresponding signal channel for each temperature sensor;

[0052] In this embodiment, for the high-temperature membrane fuel cell power generation device, since the temperature directly affects the performance, efficiency and stability of the high-temperature membrane fuel cell in the high-temperature membrane fuel cell power generation device, it is crucial to perform temperature sampling to monitor the temperature. The accuracy of temperature sampling is particularly important for ensuring the performance, efficiency and stability of the high-temperature membrane fuel cell.

[0053] In this embodiment, as an optional embodiment, the temperature sensor includes but is not limited to a thermocouple sensor, a thermistor sensor, an integrated temperature sensor, and an optical fiber temperature sensor. Among them, this embodiment uses a thermocouple sensor, and the thermocouple sensor includes but is not limited to a K-type thermocouple sensor.

[0054] In this embodiment, as an optional embodiment, redundant temperature sensors are arranged on the high-temperature membrane fuel cell power generation device, including:

[0055] K-type thermocouple sensors are arranged in the cell stack, gas flow path, cooling system and external environment of the high-temperature membrane fuel cell power generation device, respectively. At the same position, multiple K-type thermocouple sensors are arranged to form redundancy.

[0056] In this embodiment, the battery stack temperature is collected to monitor the overall temperature of the battery stack and ensure that the high-temperature membrane fuel cell is within the optimal operating temperature range; the gas flow path temperature is collected to ensure that the input gas temperature is suitable for the requirements of the high-temperature membrane fuel cell; the cooling system temperature is collected to monitor the water temperature or other cooling medium temperature of the cooling system to prevent damage to the power generation device due to excessive temperature; the external environment temperature is collected to evaluate the impact of the external environment on the performance of the power generation device.

[0057] In this embodiment, as an optional embodiment, each temperature sensor corresponds to a signal channel, and the collected analog temperature signal is processed using multi-channel processing technology.

[0058] In this embodiment, in a high-temperature membrane fuel cell power generation device, electromagnetic interference and power supply noise may have an adverse effect on the temperature signal acquisition, and the sampling points for collecting the temperature are isolated. As an optional embodiment, isolating each temperature sensor includes:

[0059] Use a DC-DC isolation converter to isolate the power supply of each temperature sensor.

[0060] The signal channels corresponding to the deployed temperature sensors are isolated by using isolation chips.

[0061] In this embodiment, power isolation is used to isolate the power supply of each temperature sensor. As an optional embodiment, a DC-DC isolation converter is used for power isolation, which can provide a stable power supply for the temperature sensor that collects the temperature signal to eliminate the influence of power supply noise and voltage fluctuation on the temperature signal to be collected, thereby effectively preventing external interference signals from entering the high-temperature membrane fuel cell power generation device through the power supply line, and ensuring the stable operation of signal collection. The signal channel is isolated by using an isolation chip to physically separate the interference signal from the temperature signal, avoid electromagnetic interference from being transmitted to the signal channel, thereby reducing the influence of noise and improving the purity of the collected temperature signal. It is also possible to set isolation on the signal input, output and power supply paths, so that the high-temperature membrane fuel cell power generation device can maintain good working performance in a high electromagnetic interference environment, avoid interference signals from affecting temperature signal collection through common ground and other paths, and effectively suppress high-frequency noise and low-frequency interference.

[0062] S102, using each signal channel to receive a temperature signal collected by a deployed temperature sensor, transmitting the signal to a first low-pass filter for filtering to obtain a first filtered temperature signal, and compensating the first filtered temperature signal according to a preset temperature compensation circuit;

[0063] In this embodiment, a K-type thermocouple sensor is used for temperature acquisition. The K-type thermocouple sensor generates a weak voltage signal (temperature signal) for characterizing the temperature. The voltage signal needs to be filtered and amplified by a signal conditioning circuit, and the amplified voltage signal is converted into an easy-to-process digital signal to improve the processing accuracy of the voltage signal. As an optional embodiment, the temperature signal (voltage signal) acquired by the K-type thermocouple sensor may introduce high-frequency noise due to electromagnetic interference, poor grounding and other factors. The acquired voltage signal is low-pass filtered to remove the high-frequency noise, thereby improving the stability and accuracy of the signal.

[0064] In this embodiment, the low-pass filtered voltage signal is temperature compensated according to a pre-set temperature compensation circuit to automatically adjust the measurement error caused by ambient temperature changes, cold junction (cold end) effect, sensor drift, etc., to ensure the stability of the measurement value.

[0065] In this embodiment, the temperature compensation circuit can be built into the temperature sensor to eliminate measurement errors caused by environmental factors, such as temperature changes, sensor drift, etc., and has a self-calibration function.

[0066] In this embodiment, as an optional embodiment, a differential signal transmission method and a cable shielding method can also be used to transmit the temperature signal collected by the temperature sensor, so that the influence of the external electromagnetic field on the temperature signal can be reduced. Among them, the cable shielding can effectively suppress the electromagnetic interference from the surrounding environment and ensure the purity of the temperature signal.

[0067] In this embodiment, as an optional embodiment, the first filtered temperature signal is compensated according to a preset temperature compensation circuit, including:

[0068] Acquire the ambient temperature, and perform temperature compensation on the first filtered temperature signal using a temperature compensation circuit according to a preset ambient temperature and a compensation strategy of a temperature sensor;

[0069] The accumulated working time of the temperature sensor is obtained, and based on the preset time and the drift strategy of the temperature sensor, the temperature compensation circuit is used to perform drift compensation on the first filtered temperature signal.

[0070] In this embodiment, the compensation for the first filtered temperature signal includes but is not limited to: ambient temperature compensation and sensor drift compensation, wherein the ambient temperature compensation is to monitor and adjust the output of the temperature sensor in real time to adapt to the temperature changes of the surrounding environment. In this way, the temperature sensor can automatically compensate in different working environments (such as high temperature, low temperature, etc.), thereby reducing the error caused by ambient temperature changes. Sensor drift compensation, because the temperature sensor will drift over time, the temperature compensation circuit can automatically adjust the output to compensate for the impact of the temperature sensor drift over time, which can effectively reduce the long-term errors caused by component aging or other factors.

[0071] In this embodiment, the temperature compensation circuit automatically adjusts the output of the temperature sensor by comparing the output temperature signal with the known standard temperature value (compensation strategy) to reduce the impact of temperature drift and external environmental changes on the measurement results; and by tracking the fluctuation of the built-in reference voltage source, it compensates for any changes caused by the ambient temperature in real time to ensure that the output voltage of the sensor is stable and accurately corresponds to the actual temperature (drift strategy). And when it is started or reset for the first time, it uses a known temperature standard (for example, a reference source at room temperature) for initial calibration, for example, by measuring the current output voltage, comparing it with the reference voltage, calculating the output error, and correcting the output or gain of the sensor according to the error to ensure the accuracy of subsequent temperature measurements.

[0072] S103, using an operational amplifier to amplify the compensated first filtered temperature signal to obtain a filtered temperature amplified signal, and transmitting the signal to a second low-pass filter for filtering to obtain a second filtered temperature signal;

[0073] In this embodiment, as an optional embodiment, an operational amplifier is used to amplify the signal. The operational amplifier is used to amplify and linearize the signal during the conversion of the analog signal. In this way, by amplifying the temperature signal, the accurate transmission of the temperature signal can be effectively guaranteed, avoiding errors caused by gain distortion.

[0074] In this embodiment, after the signal is amplified, the amplitude of the noise signal will also be amplified, so the output signal may still contain high-frequency noise. As an optional embodiment, by placing a low-pass filter at the output end of the operational amplifier, high-frequency noise can be further suppressed, making the output temperature signal purer and more stable, so that for the high-frequency noise problem that may occur during acquisition, the high-frequency component in the signal is removed by using a low-pass filter to ensure the purity of the signal. As another optional embodiment, after the signal is processed by the operational amplifier, it can also be further isolated through power supply isolation and optical coupler.

[0075] In this embodiment, the temperature signal is collected, amplified, filtered and converted at the hardware level. For example, the collected temperature signal is accurately processed through a low-pass filter, a high-performance analog-to-digital converter and an operational amplifier, and converted into a 0-5V analog signal in real time. In this way, by using high-temperature resistant components and low drift design, it is ensured that the analog signal processing circuit can work stably in a high temperature environment, effectively avoiding signal drift caused by high temperature.

[0076] In this embodiment, as an optional embodiment, the collected analog temperature signal can also be stored in the hardware buffer area and then processed in parallel. In this way, by utilizing the hardware buffer mechanism, the analog temperature signal can be quickly transmitted to the next stage of processing while real-time data is collected, avoiding delays in the data transmission process, thereby achieving real-time data processing.

[0077] S104, according to the second filtered temperature signal of the redundant temperature sensor arranged at the same temperature sampling point, according to the preset verification strategy, using the data verification chip to obtain the verification filtered temperature signal of the same temperature sampling point;

[0078] In this embodiment, through the redundant setting of the temperature sensor, when it is detected that the temperature sensor is abnormal or the temperature data collected by the temperature sensor is abnormal, it switches to another redundant temperature sensor to collect temperature data. In this way, during the temperature data sampling process, when a temperature sensor fails or the temperature data is abnormal, it automatically enters the protection mode.

[0079] In this embodiment, in order to improve the fault tolerance of the data, a data verification chip is used to verify the collected temperature data in real time, ensure the consistency of temperature signals from redundant temperature sensors, detect faulty sensors or data anomalies in time, and send out alarm signals, thereby improving the reliability and stability of the collection.

[0080] In this embodiment, as an optional embodiment, according to a preset verification strategy, a data verification chip is used to obtain a verification filtered temperature signal of the same temperature sampling point, including:

[0081] According to the temperature sampling point identifier carried in the second filtered temperature signal, a plurality of second filtered temperature signals corresponding to the same temperature sampling point identifier are acquired;

[0082] If there is an empty second filtered temperature signal among the plurality of second filtered temperature signals, terminating the acquisition of the temperature sensor corresponding to the empty second filtered temperature signal;

[0083] Selecting a second filtered temperature signal as a reference signal from other second filtered temperature signals after filtering out the empty second filtered temperature signal, and calculating a signal difference between other second filtered temperature signals and the reference signal;

[0084] Determine whether the number of other second filtered temperature signals whose signal difference exceeds the preset difference threshold exceeds a preset reference threshold, and if so, determine to terminate the acquisition of the temperature sensor corresponding to the reference signal; if not, determine to terminate the acquisition of the temperature sensor corresponding to the second filtered temperature signal other than the reference signal in the signal difference;

[0085] From the plurality of second filtered temperature signals, filter out the second filtered temperature signal corresponding to the temperature sensor where the acquisition is terminated, to obtain a filtered temperature signal to be verified;

[0086] The core verification filtered temperature signal is averaged to obtain a verification filtered temperature signal.

[0087] In this embodiment, the data verification chip performs data verification on the verification filtered temperature signal and compares the data collected by the redundant sensors in real time. When data deviation occurs, a fault alarm signal is issued. In this way, by utilizing the hardware-level data verification mechanism, potential faults or sensor deviations can be quickly discovered to ensure that the collected data is accurate and reliable.

[0088] In this embodiment, as an optional embodiment, the method further includes:

[0089] After determining to terminate the collection of the temperature sensor, query whether there is a temperature sensor whose status is marked as normal and not enabled in the temperature sensor set corresponding to the temperature sampling point identifier, and if so, enable the temperature sensor.

[0090] In this embodiment, based on the redundant sensor design, a fault detection and fault-tolerant mechanism is also integrated, and hardware is used for fault detection and fault-tolerant mechanism. Therefore, through the real-time fault detection circuit of the hardware, it can automatically switch to a healthy temperature sensor or data path to ensure normal operation when a fault occurs, thereby ensuring the continuity and reliability of data collection.

[0091] S105. Based on a preset linearization algorithm, linearize the verified filtered temperature signal to obtain a linear temperature signal, and use an analog-to-digital converter to perform analog-to-digital conversion on the linear temperature signal to obtain a digital temperature signal for transmission.

[0092] In this embodiment, after temperature compensation, the collected thermocouple signal (voltage signal) is converted into a voltage signal (linear temperature signal) having a linear relationship with temperature through a linearization algorithm. The linearization algorithm includes but is not limited to: a table lookup method and a linear fitting method.

[0093] In this embodiment, for a K-type thermocouple sensor, the output voltage model (mV) and the temperature are in a nonlinear relationship. Therefore, as an optional embodiment, based on a pre-set linearization algorithm, the verification filtered temperature signal is linearized to obtain a linear temperature signal, including:

[0094] A11, obtain the temperature-voltage mapping relationship of the K-type thermocouple sensor;

[0095] In this embodiment, as an optional embodiment, the temperature-voltage mapping relationship includes but is not limited to: a standard table or curve, according to which the output voltage (mV) of the K-type thermocouple sensor at different temperatures is obtained, that is, the voltage signal represented by the verified filtered temperature signal. For example, Table 1 is a schematic table of the temperature and corresponding voltage value of a K-type thermocouple sensor.

[0096] Table 1

[0097]

[0098]

[0099] A12, obtaining a voltage range for conversion set by the linearization algorithm;

[0100] In this embodiment, as an optional embodiment, the voltage range for conversion is set to 0-5V.

[0101] A13, obtaining a verification filter temperature signal representing a temperature signal collected by a K-type thermocouple sensor, and linearizing the verification filter temperature signal based on the minimum voltage of the K-type thermocouple sensor, the maximum voltage of the K-type thermocouple sensor, and the voltage range for conversion in a temperature-voltage mapping relationship to obtain a linearized voltage signal;

[0102] In this embodiment, the filtered temperature signal is verified to be a voltage signal. As an optional embodiment, taking the voltage range to be converted as 0 to 5V as an example, the linearized voltage signal is calculated using the following formula:

[0103]

[0104] in:

[0105] V out is the linearized voltage signal;

[0106] V tc To collect voltage signals, that is, to verify the voltage signals represented by the filtered temperature signals;

[0107] V min is the minimum voltage signal of the K-type thermocouple sensor. Taking Table 1 as an example, V min=-6.458mV.

[0108] V max is the highest voltage signal of the K-type thermocouple sensor, V max =69.734mV.

[0109] A14, based on the temperature-voltage mapping relationship and the linearized voltage signal, obtains a linear temperature signal.

[0110] In this embodiment, for the nonlinearity between the output voltage and temperature of the K-type thermocouple sensor, the temperature range in the temperature-voltage mapping relationship can also be divided into multiple different temperature intervals, and a linearization algorithm is applied in each temperature interval, that is, a linear relationship between the voltage and the linear temperature signal in each temperature interval is constructed by using a linear interpolation or piecewise linearization method, so as to perform adaptive linearization of the temperature data based on the temperature interval to obtain a confident temperature signal. For example, as an optional embodiment, the temperature interval is divided into:

[0111] Low temperature range: -40℃ to 0℃;

[0112] Medium temperature range: 0℃ to 500℃;

[0113] High temperature range: 500℃ to 800℃.

[0114] Each temperature interval is linearized, that is, for each temperature interval, the temperature boundary and the corresponding voltage boundary of the temperature interval are selected, and the voltage signal is mapped based on the linear interpolation formula. For example, taking the low temperature interval as an example, the temperature range is -40℃ to 0℃, the corresponding voltage range is: -0.690mV to 0mV, and the corresponding output voltage range is: 0V to 1.65V. The linear relationship between the voltage and temperature in this temperature interval is constructed using the following formula:

[0115]

[0116] in,

[0117] T1 is the lowest temperature in the temperature interval, V1 is the output voltage corresponding to the lowest temperature in the temperature interval, T2 is the highest temperature in the temperature interval, V2 is the output voltage corresponding to the highest temperature in the temperature interval, and T is a linear temperature signal.

[0118] In this embodiment, T1 = 0°C, V1 = 0V, T2 = -40°C, V2 = 1.65V.

[0119] In this embodiment, for the medium temperature range: 0°C to 500°C, the voltage range: 0mV to 20.644mV, and the corresponding output voltage range: 1.65V to 3.76V.

[0120] For the high temperature range: 500℃ to 800℃, the voltage range is: 20.644mV to 69.734mV, and the corresponding output voltage range is: 3.76V to 5V.

[0121] In this embodiment, the linearization algorithm determines the temperature interval to which the input voltage value belongs based on the input voltage value (linearized voltage signal) and the corresponding relationship between the temperature interval and the voltage output range. For example, if the linearized voltage signal (input voltage) is 4.0V, the corresponding relationship between the temperature interval and the voltage output range is queried to determine that the input voltage belongs to the high temperature interval (500°C to 800°C). Then, based on the linear relationship between the voltage and temperature in the temperature interval, the corresponding temperature data (linear temperature signal) is calculated.

[0122] In this embodiment, by integrating the temperature linearization algorithm, the linear conversion strategy can be adaptively adjusted according to different temperature intervals to more effectively eliminate the signal deviation caused by nonlinear errors. In this way, by optimizing the temperature signal through the temperature linearization algorithm, the conversion accuracy of the temperature signal can be improved to ±0.1%, which can ensure high accuracy in a wide temperature range.

[0123] In this embodiment, when performing analog-to-digital conversion, the simulated linear temperature signal is sampled. In order to ensure the accuracy of the sampled linear temperature signal, a suitable sampling frequency is selected. For example, for a high-temperature membrane fuel cell, the data sampling frequency does not need to be too high and can be set to the first sampling frequency, but the accuracy needs to meet a preset standard (for example, 0.1°C accuracy), so that the linear temperature signal of -40°C to 800°C collected from the temperature sensor is converted into a digital temperature signal, for example, a voltage signal of 0 to 5V, using an analog-to-digital converter (ADC). In this way, the temperature signal can be accurately converted within the range of -40°C to 800°C, ensuring high linearity and low drift of the temperature signal.

[0124] In this embodiment, as an optional embodiment, the method further includes:

[0125] According to the obtained digital temperature signal corresponding to the temperature sensor, a pre-set temperature control signal corresponding to the temperature sensor is queried, and based on the digital temperature signal and the temperature control signal, the temperature of the component corresponding to the temperature sampling point arranged by the temperature sensor is controlled.

[0126] In this embodiment, the high-temperature membrane fuel cell power generation device automatically adjusts and optimizes the operating parameters based on the sampled temperature signal and the temperature control signal to ensure that the high-temperature membrane fuel cell operates within the optimal operating temperature range. For example, when the temperature signal is less than the temperature control signal, heating control is performed: by adjusting the heating device (such as an electric heater) in the hydrogen and air flow paths, the appropriate gas temperature is maintained; when the temperature signal is greater than the temperature control signal, cooling control is performed: by controlling the flow and temperature of the cooling system, the temperature of the battery stack is ensured not to be too high, thereby preventing overheating; and dynamic optimization is performed: according to the real-time temperature data, the operating parameters of the battery stack (such as current density, gas flow, etc.) are automatically adjusted to improve the efficiency of the fuel cell.

[0127] In this embodiment, as another optional embodiment, the method further includes:

[0128] The obtained digital temperature signal is displayed, and according to the preset display strategy, a chart and a temperature change trend line corresponding to the display strategy are generated on the display interface.

[0129] In this embodiment, as an optional embodiment, the collected digital temperature signal is displayed on the operation interface through the human-machine interface (HMI), so that the operator can monitor the temperature data of each temperature sensor in real time through the user interface, and display the current temperature data, charts, trend lines, alarm status and other information of each monitoring point (temperature sampling point) on the operation interface for the operator to make corresponding adjustments. As another optional embodiment, the remote monitoring function can also be realized through the human-machine interface, and the operator can access the network, view the temperature data and make remote adjustments.

[0130] In this embodiment, as another optional embodiment, the method further includes:

[0131] If it is determined that the obtained digital temperature signal exceeds a preset first temperature safety threshold, triggering output of a first control signal to reduce the power of a component mapped by the temperature sensor corresponding to the digital temperature signal;

[0132] If it is determined that the obtained digital temperature signal exceeds a preset second temperature safety threshold, a second control signal is triggered to output to cut off the power supply of the component mapped by the temperature sensor corresponding to the digital temperature signal.

[0133] In this embodiment, when the temperature is too high, an over-temperature alarm is issued, and the corresponding components automatically take emergency measures, such as reducing power or cutting off power to prevent the components from overheating and damage, thereby achieving circuit breaker protection and protecting the fuel cell from damage.

[0134] The method of this embodiment has high-precision signal conversion, strong anti-interference ability and real-time data processing ability, and is particularly suitable for temperature monitoring of methanol reformers and high-temperature membrane fuel cell power generation systems, and can provide accurate and stable temperature data support in complex high-temperature and high-interference working environments. It has the following beneficial technical effects:

[0135] High efficiency anti-interference: In this embodiment, hardware filtering and anti-interference algorithms are combined to suppress strong electromagnetic interference through hardware filtering, shielding, anti-interference algorithms and isolated power supply. Among them, the isolated power supply can provide independent power supply for each temperature sensor, operational amplifier, filter, data verification chip, etc., which can avoid the conduction interference of power supply noise on the signal, effectively block the interference path of power supply conduction, improve the stability of the signal, and ensure that the temperature acquisition can work stably in a high electromagnetic interference environment through multi-level anti-interference design, so as to provide a stable temperature signal in a strong electromagnetic interference environment.

[0136] Accurate temperature compensation: In this embodiment, automatic cold end compensation of the K-type thermocouple sensor is achieved through a temperature compensation circuit and an adaptive temperature compensation algorithm. Combined with the adaptive temperature compensation algorithm, the temperature drift error caused by ambient temperature changes is significantly reduced, ensuring high precision.

[0137] Wide temperature adaptability: This embodiment fully considers extreme temperatures, and through high-temperature and low-temperature resistant materials and circuit design, effectively avoids measurement errors caused by temperature drift, while reducing performance degradation in long-term high-temperature environments. The wide temperature adaptability of this embodiment can provide reliable protection for application scenarios that require precise temperature control, such as methanol reforming and high-temperature membrane fuel cell power generation devices, and is suitable for high-temperature conditions such as hydrogen battery power generation devices controlled by controllers. Among them, the detectable temperature range is -40℃~850℃, and the detection accuracy is ±0.5℃, which can ensure the stability of measurement accuracy and achieve accurate response to sudden temperature changes or high-temperature environments. At the same time, the device casing can be designed with dustproof, moisture-proof, and shock-resistant functions to adapt to the variability and harshness of the conditions of the power generation device, significantly enhancing environmental adaptability.

[0138] High-precision temperature measurement: This embodiment solves the drift problem caused by the change of cold end temperature through temperature compensation, which significantly improves the measurement accuracy, especially for the environment with frequent temperature changes. Based on the signal amplification function, the tiny signal can be amplified to the range of 0-5V, making the signal easier to collect and process, greatly improving the measurement accuracy.

[0139] Strong environmental adaptability: This embodiment uses high temperature resistant materials and optimizes the circuit layout to ensure stable operation in a long-term high temperature environment.

[0140] Improved data accuracy: Combined with the temperature compensation algorithm, this embodiment can dynamically correct the impact of ambient temperature changes on the measured data. The temperature compensation algorithm can automatically adjust the compensation according to the change of the cold end temperature, thereby improving the reliability of the data and providing stable and accurate temperature data in different environments.

[0141] Based on the same inventive concept, Figure 2 As shown, an embodiment of the present invention further provides a device for monitoring the temperature of a power generation device, the device comprising:

[0142] The sensor setting module 201 is used to arrange redundant temperature sensors on the high-temperature membrane fuel cell power generation device, isolate the arranged temperature sensors, and set a corresponding signal channel for each temperature sensor;

[0143] In this embodiment, as an optional embodiment, the sensor setting module 201 is specifically used for:

[0144] K-type thermocouple sensors are arranged in the cell stack, gas flow path, cooling system and external environment of the high-temperature membrane fuel cell power generation device, respectively. At the same position, multiple K-type thermocouple sensors are arranged to form redundancy.

[0145] In this embodiment, as another optional embodiment, the sensor setting module 201 is further configured to:

[0146] Use a DC-DC isolation converter to isolate the power supply of each temperature sensor.

[0147] The signal channels corresponding to the deployed temperature sensors are isolated by using isolation chips.

[0148] The temperature compensation module 202 is used to use each signal channel to receive the temperature signal collected by the arranged temperature sensor, transmit it to the first low-pass filter for filtering, obtain a first filtered temperature signal, and compensate the first filtered temperature signal according to a preset temperature compensation circuit;

[0149] In this embodiment, as an optional embodiment, the temperature compensation module 202 is specifically used for:

[0150] Acquire the ambient temperature, and perform temperature compensation on the first filtered temperature signal using a temperature compensation circuit according to a preset ambient temperature and a compensation strategy of a temperature sensor;

[0151] The accumulated working time of the temperature sensor is obtained, and based on the preset time and the drift strategy of the temperature sensor, the temperature compensation circuit is used to perform drift compensation on the first filtered temperature signal.

[0152] The filtering module 203 is used to amplify the compensated first filtered temperature signal by using an operational amplifier to obtain a filtered temperature amplified signal, and transmit the signal to a second low-pass filter for filtering to obtain a second filtered temperature signal;

[0153] The data verification module 204 is used to obtain the verification filtered temperature signal of the same temperature sampling point by using the data verification chip according to the second filtered temperature signal of the redundant temperature sensor arranged at the same temperature sampling point according to the preset verification strategy;

[0154] In this embodiment, as an optional embodiment, the data verification module 204 is specifically used for:

[0155] According to the temperature sampling point identifier carried in the second filtered temperature signal, a plurality of second filtered temperature signals corresponding to the same temperature sampling point identifier are acquired;

[0156] If there is an empty second filtered temperature signal among the plurality of second filtered temperature signals, terminating the acquisition of the temperature sensor corresponding to the empty second filtered temperature signal;

[0157] Selecting a second filtered temperature signal as a reference signal from other second filtered temperature signals after filtering out the empty second filtered temperature signal, and calculating a signal difference between other second filtered temperature signals and the reference signal;

[0158] Determine whether the number of other second filtered temperature signals whose signal difference exceeds the preset difference threshold exceeds a preset reference threshold, and if so, determine to terminate the acquisition of the temperature sensor corresponding to the reference signal; if not, determine to terminate the acquisition of the temperature sensor corresponding to the second filtered temperature signal other than the reference signal in the signal difference;

[0159] From the plurality of second filtered temperature signals, filter out the second filtered temperature signal corresponding to the temperature sensor where the acquisition is terminated, to obtain a filtered temperature signal to be verified;

[0160] The core verification filtered temperature signal is averaged to obtain a verification filtered temperature signal.

[0161] In this embodiment, as another optional embodiment, the data verification module 204 is further used to:

[0162] After determining to terminate the collection of the temperature sensor, query whether there is a temperature sensor whose status is marked as normal and not enabled in the temperature sensor set corresponding to the temperature sampling point identifier, and if so, enable the temperature sensor.

[0163] The analog-to-digital conversion module 205 is used to perform linear processing on the verification filtered temperature signal based on a preset linearization algorithm to obtain a linear temperature signal, and use an analog-to-digital converter to perform analog-to-digital conversion on the linear temperature signal to obtain a digital temperature signal for transmission.

[0164] In this embodiment, as an optional embodiment, the analog-to-digital conversion module 205 is specifically used for:

[0165] Get the temperature-voltage mapping relationship of the K-type thermocouple sensor;

[0166] Obtaining a voltage range for conversion set by the linearization algorithm;

[0167] Acquire a verification filter temperature signal representing a temperature signal collected by a K-type thermocouple sensor, and linearize the verification filter temperature signal based on the minimum voltage of the K-type thermocouple sensor, the maximum voltage of the K-type thermocouple sensor, and the voltage range for conversion in a temperature-voltage mapping relationship to obtain a linearized voltage signal;

[0168] Based on the temperature-voltage mapping relationship and the linearized voltage signal, a linear temperature signal is obtained.

[0169] In this embodiment, as an optional embodiment, the device further includes:

[0170] The component temperature control module (not shown in the figure) is used to query the pre-set temperature control signal corresponding to the temperature sensor according to the digital temperature signal corresponding to the temperature sensor, and based on the digital temperature signal and the temperature control signal, perform temperature control on the component corresponding to the temperature sampling point where the temperature sensor is arranged.

[0171] In this embodiment, as another optional embodiment, the device further includes:

[0172] The display setting module is used to display the obtained digital temperature signal and generate a chart and a temperature change trend line corresponding to the display strategy on the display interface according to the preset display strategy.

[0173] In this embodiment, as another optional embodiment, the device further includes:

[0174] An alarm processing module, configured to trigger output of a first control signal to reduce the power of a component mapped by a temperature sensor corresponding to the digital temperature signal if it is determined that the obtained digital temperature signal exceeds a preset first temperature safety threshold;

[0175] If it is determined that the obtained digital temperature signal exceeds a preset second temperature safety threshold, a second control signal is triggered to output to cut off the power supply of the component mapped by the temperature sensor corresponding to the digital temperature signal.

[0176] Based on the same inventive concept, an embodiment of the present invention further provides a storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the method for monitoring the temperature of a power generation device in any possible implementation manner described above are implemented.

[0177] Alternatively, the storage medium may be a non-transitory computer-readable storage medium, for example, the non-transitory computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0178] Based on the same inventive concept, see Figure 3 The embodiment of the present invention further provides an electronic device, including a memory 101 (such as a non-volatile memory), a processor 102, and a computer program stored in the memory 101 and executable on the processor 102. When the processor 102 executes the program, the steps of the method for monitoring the temperature of the power generation device in any possible implementation manner described above can be equivalent to the device for monitoring the temperature of the power generation device as described above. Of course, the processor can also be used to process other data or operations. The electronic device can be a PC, a server, a terminal, and other devices.

[0179] like Figure 3 As shown, the electronic device may also generally include: a memory 103, a network interface 104, and an internal bus 105. In addition to these components, other hardware may also be included, which will not be described in detail.

[0180] It should be pointed out that the above-mentioned device for monitoring the temperature of the power generation device can be implemented by software. As a device in a logical sense, it is formed by the processor 102 of the electronic device in which it is located reading the computer program instructions stored in the non-volatile memory into the memory 103 for execution.

[0181] The embodiments of the subject matter and functional operations described in this specification may be implemented in the following: digital electronic circuits, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or a combination of one or more of them. The embodiments of the subject matter described in this specification may be implemented as one or more computer programs, i.e., one or more modules in computer program instructions encoded on a tangible non-temporary program carrier to be executed by a data processing device or to control the operation of the data processing device. Alternatively or additionally, the program instructions may be encoded on an artificially generated propagation signal, such as a machine-generated electrical, optical or electromagnetic signal, which is generated to encode information and transmit it to a suitable receiver device for execution by a data processing device. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.

[0182] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform the corresponding functions by operating on input data and generating output. The processes and logic flows can also be performed by special purpose logic circuits, such as FPGAs (field programmable gate arrays) or ASICs (application specific integrated circuits), and the apparatus can also be implemented as special purpose logic circuits.

[0183] Computers suitable for executing computer programs include, for example, general and / or special microprocessors, or any other type of central processing unit. Typically, the central processing unit will receive instructions and data from a read-only memory and / or a random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Typically, the computer will also include one or more large-capacity storage devices for storing data, such as magnetic disks, magneto-optical disks, or optical disks, or the computer will be operably coupled to this large-capacity storage device to receive data from it or to transmit data to it, or both. However, the computer does not necessarily have such a device. In addition, the computer can be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, to name a few.

[0184] Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including, for example, semiconductor memory devices (e.g., EPROM, EEPROM and flash memory devices), magnetic disks (e.g., internal hard disks or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. The processor and memory may be supplemented by, or incorporated in, special purpose logic circuitry.

[0185] Although this specification includes many specific implementation details, these should not be interpreted as limiting the scope of any invention or the scope of protection claimed, but are mainly used to describe the features of the specific embodiments of specific inventions. Certain features described in multiple embodiments in this specification may also be implemented in combination in a single embodiment. On the other hand, the various features described in a single embodiment may also be implemented separately in multiple embodiments or in any suitable sub-combination. In addition, although the features may work as above in certain combinations and even initially claim protection, one or more features from the claimed combination may be removed from the combination in some cases, and the claimed combination may point to a sub-combination or a variation of a sub-combination.

[0186] Similarly, although operations are depicted in a particular order in the accompanying drawings, this should not be understood as requiring that these operations be performed in the particular order shown or performed sequentially, or requiring that all illustrated operations be performed to achieve the desired results. In some cases, multitasking and parallel processing may be advantageous. In addition, the separation of various system modules and components in the above-described embodiments should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product, or packaged into multiple software products.

[0187] Thus, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the particular order or sequential order shown to achieve the desired results. In some implementations, multitasking and parallel processing may be advantageous.

[0188] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0189] The above is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features applied herein.

Claims

1. A method for monitoring the temperature of a power generation device, characterized in that: include: Redundant temperature sensors are arranged on the high-temperature membrane fuel cell power generation device, each of the arranged temperature sensors is isolated, and a corresponding signal channel is set for each temperature sensor; Using each signal channel to receive the temperature signal collected by the arranged temperature sensor, the signal is transmitted to the first low-pass filter for filtering to obtain a first filtered temperature signal, and the first filtered temperature signal is compensated according to a preset temperature compensation circuit; Amplifying the compensated first filtered temperature signal by using an operational amplifier to obtain a filtered temperature amplified signal, transmitting the signal to a second low-pass filter for filtering to obtain a second filtered temperature signal; According to the second filtered temperature signal of the redundant temperature sensor arranged at the same temperature sampling point, according to the preset verification strategy, the verification filtered temperature signal of the same temperature sampling point is obtained by using the data verification chip; Based on a preset linearization algorithm, the verification filtered temperature signal is linearized to obtain a linear temperature signal, and the linear temperature signal is converted into a digital signal using an analog-to-digital converter to obtain a digital temperature signal for transmission.

2. The method for monitoring the temperature of a power generation device according to claim 1, characterized in that: The redundant temperature sensors are arranged on the high temperature membrane fuel cell power generation device, including: K-type thermocouple sensors are arranged in the cell stack, gas flow path, cooling system and external environment of the high-temperature membrane fuel cell power generation device, respectively. At the same position, multiple K-type thermocouple sensors are arranged to form redundancy.

3. The method for monitoring the temperature of a power generation device according to claim 1, characterized in that: The isolating each temperature sensor includes: Use a DC-DC isolation converter to isolate the power supply of each temperature sensor. The signal channels corresponding to the deployed temperature sensors are isolated by using isolation chips.

4. The method for monitoring the temperature of a power generation device according to claim 1, characterized in that: The compensating the first filtered temperature signal according to a preset temperature compensation circuit includes: Acquire the ambient temperature, and perform temperature compensation on the first filtered temperature signal using a temperature compensation circuit according to a preset ambient temperature and a compensation strategy of a temperature sensor; The accumulated working time of the temperature sensor is obtained, and based on the preset time and the drift strategy of the temperature sensor, the temperature compensation circuit is used to perform drift compensation on the first filtered temperature signal.

5. The method for monitoring the temperature of a power generation device according to any one of claims 1 to 4, characterized in that: The method of obtaining the verification filtered temperature signal of the same temperature sampling point by using a data verification chip according to a preset verification strategy includes: According to the temperature sampling point identifier carried in the second filtered temperature signal, a plurality of second filtered temperature signals corresponding to the same temperature sampling point identifier are obtained; If there is an empty second filtered temperature signal among the plurality of second filtered temperature signals, terminating the acquisition of the temperature sensor corresponding to the empty second filtered temperature signal; Selecting a second filtered temperature signal as a reference signal from other second filtered temperature signals after filtering out the empty second filtered temperature signal, and calculating a signal difference between other second filtered temperature signals and the reference signal; Determine whether the number of other second filtered temperature signals whose signal difference exceeds the preset difference threshold exceeds a preset reference threshold, and if so, determine to terminate the acquisition of the temperature sensor corresponding to the reference signal; if not, determine to terminate the acquisition of the temperature sensor corresponding to the second filtered temperature signal other than the reference signal in the signal difference; From the plurality of second filtered temperature signals, filter out the second filtered temperature signal corresponding to the temperature sensor where the acquisition is terminated, to obtain a filtered temperature signal to be verified; The core verification filtered temperature signal is averaged to obtain a verification filtered temperature signal.

6. The method for monitoring the temperature of a power generation device according to claim 5, characterized in that: The method further comprises: After determining to terminate the collection of the temperature sensor, query whether there is a temperature sensor whose status is marked as normal and not enabled in the temperature sensor set corresponding to the temperature sampling point identifier, and if so, enable the temperature sensor.

7. The method for monitoring the temperature of a power generation device according to any one of claims 1 to 4, characterized in that: The method of performing linear processing on the verification filtered temperature signal based on a preset linearization algorithm to obtain a linear temperature signal includes: Get the temperature-voltage mapping relationship of the K-type thermocouple sensor; Obtaining a voltage range for conversion set by the linearization algorithm; Acquire a verification filter temperature signal representing a temperature signal collected by a K-type thermocouple sensor, and linearize the verification filter temperature signal based on the minimum voltage of the K-type thermocouple sensor, the maximum voltage of the K-type thermocouple sensor, and the voltage range for conversion in a temperature-voltage mapping relationship to obtain a linearized voltage signal; Based on the temperature-voltage mapping relationship and the linearized voltage signal, a linear temperature signal is obtained.

8. A device for monitoring the temperature of a power generation device, characterized in that: The device for monitoring the temperature of the power generation device comprises: A sensor setting module is used to arrange redundant temperature sensors on the high-temperature membrane fuel cell power generation device, isolate each arranged temperature sensor, and set a corresponding signal channel for each temperature sensor; The temperature compensation module is used to use each signal channel to receive the temperature signal collected by the arranged temperature sensor, transmit it to the first low-pass filter for filtering, obtain the first filtered temperature signal, and compensate the first filtered temperature signal according to the preset temperature compensation circuit; A filtering module, used for amplifying the compensated first filtered temperature signal by using an operational amplifier to obtain a filtered temperature amplified signal, and transmitting the signal to a second low-pass filter for filtering to obtain a second filtered temperature signal; A data verification module is used to obtain the verification filtered temperature signal of the same temperature sampling point using a data verification chip according to a second filtered temperature signal of a redundant temperature sensor arranged at the same temperature sampling point and a preset verification strategy; The analog-to-digital conversion module is used to perform linear processing on the verification filtered temperature signal based on a preset linearization algorithm, obtain a linear temperature signal, and use an analog-to-digital converter to perform analog-to-digital conversion on the linear temperature signal to obtain a digital temperature signal for transmission.

9. A storage medium, characterized in that: The storage medium stores a program or an instruction, and when the program or the instruction is executed by the processor, the steps of the method for monitoring the temperature of a power generation device as described in any one of claims 1 to 7 are implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method for monitoring the temperature of a power generation device according to any one of claims 1 to 7 are implemented.

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