Fault type detection method and equipment of physiological parameter detection device and medium

Abstract

The invention discloses a fault type detection method and equipment for a physiological parameter detection device and a medium. The problem that an existing physiological parameter detection device is inaccurate in fault monitoring is solved. The method comprises the following steps: acquiring real-time working voltage and real-time working current of the physiological parameter detection device; comparing the real-time working voltage with a first preset threshold value to obtain a voltage judgment result, and comparing the real-time working current with a second preset threshold value to obtain a current judgment result; and determining the fault type of the physiological parameter detection device according to the voltage judgment result and the current judgment result. The real-time working voltage and the real-time working current are compared with the corresponding threshold values respectively, whether the voltage and the current have faults or not is rapidly reflected, invalid signals collected by a fault device are prevented from being continuously used, and according to comprehensive analysis of a voltage judgment result and a current judgment result, the fault detection accuracy is improved. The specific type of the fault is further determined, and the accuracy of fault detection is improved.

Description

[0001] This application claims priority based on the invention patent application submitted to the China Patent Office on December 27, 2024, with application number 202411954216.1 and invention name "Fault type detection method, equipment and medium for physiological parameter detection device". This application cites the full text of the above-mentioned Chinese patent application. Technical Field

[0002] The present application relates to the technical field of device abnormality detection, and in particular to a method, device and medium for detecting a fault type of a physiological parameter detection device. Background Art

[0003] With the development of medical technology, the application of physiological parameter detection devices is becoming more and more extensive, such as continuous blood glucose monitoring systems. However, some current physiological parameter detection devices are easily affected by noise, sensor performance drift, silk screen electrode breakage, wearing extrusion, bleeding short circuit and other problems, resulting in failures. Fault types can be divided into two categories, hard faults and soft faults. Hard faults are mainly caused by problems with the sensor or the device itself. At this time, the measured working current is not a valid signal. Soft faults are mostly recoverable faults, which are mainly generated during the use of the device. Since the failure of the device is directly related to the accuracy and stability of the physiological parameter measurement, the current fault detection problem of physiological parameter detection devices is becoming increasingly prominent.

[0004] Current fault monitoring of physiological parameter detection devices generally relies on manual inspection and empirical judgment. This method is not only inefficient but also easily affected by human factors. In addition, redundancy is achieved by adding additional monitoring devices or sensors so that when a device fails, the fault can be detected by comparing the measurement results of other devices, which increases the economic burden and possible physical harm to patients. Summary of the invention

[0005] In order to solve the above technical problems, one or more embodiments of the present application provide a method, device and medium for detecting the fault type of a physiological parameter detection device.

[0006] One or more embodiments of the present application adopt the following technical solutions:

[0007] On the one hand, the present application provides a method for detecting a fault type of a physiological parameter detection device, the method comprising:

[0008] Acquiring the real-time working voltage and real-time working current of the physiological parameter detection device;

[0009] Compare the real-time working voltage with a first preset threshold to obtain a voltage determination result, and compare the real-time working current with a second preset threshold to obtain a current determination result;

[0010] The fault type of the physiological parameter detection device is determined according to the voltage determination result and the current determination result.

[0011] In a feasible embodiment, the real-time working voltage includes a working electrode voltage, a reference electrode voltage and a counter electrode voltage, the first preset threshold includes a first preset voltage threshold and a second preset voltage threshold, and the real-time working voltage is compared with the first preset threshold to determine a voltage determination result, including:

[0012] Comparing the working electrode voltage with a first preset voltage threshold, and comparing the reference electrode voltage with a second preset voltage threshold, to determine a first voltage determination result;

[0013] Determine a second voltage determination result based on the working electrode voltage, the reference electrode voltage and the counter electrode voltage;

[0014] If there is an abnormal result in the first voltage determination result or the second voltage determination result, the voltage determination result is abnormal.

[0015] In a feasible embodiment, the first preset threshold value further includes a first preset pressure difference threshold value and a second preset pressure difference threshold value, and the second voltage determination result is determined based on the working electrode voltage, the reference electrode voltage and the counter electrode voltage, including:

[0016] Determining a first voltage difference value between the working electrode voltage and the reference electrode voltage and a second voltage difference value between the working electrode voltage and the counter electrode voltage;

[0017] If the first pressure difference value is greater than a first preset pressure difference threshold or the second pressure difference value is greater than a second preset pressure difference threshold, the second voltage determination result is abnormal.

[0018] In a feasible embodiment, comparing the real-time working current with a second preset threshold value to determine a current determination result includes:

[0019] Acquire a first range value corresponding to the detection sensitivity of the physiological parameter detection device, and acquire a second range value corresponding to the physiological parameter to be detected;

[0020] Determine a threshold interval of the real-time working current according to the first range value and the second range value, and determine the real-time working current based on the threshold interval to obtain a first current determination result;

[0021] Performing signal filtering processing on the real-time working current, and determining a second current determination result according to the processed real-time working current and a preset current threshold;

[0022] Performing low-pass filtering on the real-time working current to obtain a baseline of the real-time working current, and determining a third current determination result based on drift data of the baseline and a corresponding preset drift data threshold;

[0023] If there is an abnormal result among the first current determination result, the second current determination result, or the third current determination result, the current determination result is abnormal.

[0024] In a feasible embodiment, the fault type includes a soft fault and a hard fault, and determining the fault type of the physiological parameter detection device according to the voltage determination result and the current determination result includes:

[0025] If the voltage determination result is abnormal, determining the fault type is a hard fault;

[0026] If the third current determination result is abnormal, determining the fault type is a hard fault;

[0027] If the first current determination result or the second current determination result is abnormal, it is detected whether the abnormality is restored within a preset time step; if the abnormality is restored, the fault type is determined to be a soft fault; if the abnormality is not restored, the fault type is determined to be a hard fault.

[0028] In a feasible embodiment, after determining the fault type of the physiological parameter detection device, the method further includes:

[0029] The number of hard failures of the physiological parameter detection device is counted, and if the counted number exceeds a preset number threshold, the physiological parameter detection device outputs an alarm signal.

[0030] In a feasible embodiment, before obtaining the real-time working voltage and the real-time working current of the physiological parameter detection device, the method further includes:

[0031] According to a preset sampling period, collecting the initial voltage of the physiological parameter detection device;

[0032] Calculate the average voltage, standard deviation and range value corresponding to the initial voltage, and determine whether the average voltage, the standard deviation and the range value are all within the corresponding preset thresholds;

[0033] If so, the real-time working voltage and the real-time working current of the physiological parameter detection device are obtained.

[0034] In a feasible embodiment, the method further includes:

[0035] If the voltage determination result or the current determination result is abnormal, the real-time operating current is determined to be an invalid signal.

[0036] On the other hand, the present application also provides a fault type detection device for a physiological parameter detection device, the device comprising:

[0037] at least one processor; and,

[0038] a memory communicatively connected to the at least one processor; wherein,

[0039] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any of the above-mentioned fault type detection methods for the physiological parameter detection device.

[0040] On the other hand, the present application also provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to be able to execute any of the above-mentioned fault type detection methods for the physiological parameter detection device.

[0041] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

[0042] The present application can quickly capture changes in the working signals of the device by real-time monitoring of the real-time working voltage and real-time working current of the physiological parameter detection device, providing a timely information source for fault detection, so that the fault can be detected at the early stage of occurrence. For the physiological parameter detection device that needs to operate continuously, the continuity and stability of the equipment can be ensured, and the voltage judgment result and the current judgment result are obtained by comparing the real-time working voltage and the real-time working current with the corresponding thresholds respectively, and then a comprehensive analysis is performed based on the two judgment results to further determine the specific type of the fault. Compared with the traditional manual detection method, it can not only reduce the error rate of manual operation, but also quickly and accurately reflect the type of fault problem existing in the physiological parameter detection device, thereby avoiding the invalid signal collected by the faulty device from being continued to be used, and improving the reliability of the detection signal of the physiological parameter detection device. In addition, the determination of the fault type can provide targeted guidance for subsequent fault repair and improve maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions 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 recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. In the drawings:

[0044] Figure 1A schematic flow chart of a fault type detection method for a physiological parameter detection device provided in an embodiment of the present application;

[0045] Figure 2 A schematic diagram of a working circuit of a physiological parameter detection device in an application scenario provided by an embodiment of the present application;

[0046] Figure 3 A schematic diagram of a logical framework for fault type detection of a physiological parameter detection device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to more clearly illustrate the overall concept of the present application, a detailed description is given below in an illustrative manner in conjunction with the accompanying drawings.

[0048] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0049] In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present application is not limited to the specific embodiments disclosed below.

[0050] In addition, in the description of the present application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present application, "plurality" means two or more, unless otherwise clearly and specifically defined.

[0051] In this application, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection, or a communication; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0052] In the present application, unless otherwise clearly specified and limited, a first feature "above" or "below" a second feature may be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in an appropriate manner in any one or more embodiments or examples.

[0053] The present application provides a method for detecting a fault type of a physiological parameter detection device. Figure 1 A schematic diagram of a flow chart of a fault type detection method for a physiological parameter detection device provided in an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0054] S101: Acquire the real-time working voltage and real-time working current of the physiological parameter detection device.

[0055] Physiological parameter detection devices are generally based on sensors to collect physiological signals of the human body. Figure 2 Take the continuous blood glucose monitor shown in the figure as an example. When the sensor microneedle is implanted in the body, the enzyme layer of the working electrode reacts electrochemically with the glucose in the tissue fluid to generate a weak current (nA level), and a loop is formed between the working electrode and the counter electrode. Then, the current of the loop is measured and the concentration of glucose is calculated through an algorithm. In order to ensure the continuous and stable reaction, a stable voltage is provided to the working electrode to ensure that the glucose and enzyme on the working electrode can have a stable oxidation reaction. When a continuous blood glucose monitor fails, w Will fluctuate randomly, at this time the working electrode measures I w The obtained blood sugar value is not the real blood sugar value of the human body. Therefore, in order to quickly capture the changes in the working signal of the device, provide a timely information source for fault detection, so that the fault can be detected at the early stage of occurrence and avoid the continued use of invalid signals, the real-time working voltage and real-time working current of the physiological parameter detection device will be obtained in this application.

[0056] like Figure 2 As shown, in one embodiment, the real-time working voltage includes the working electrode voltage WEVol i , reference electrode voltage REVol i and the counter electrode voltage CEVol i. By real-time monitoring of the real-time working voltage and real-time working current of the physiological parameter detection device, the changes in the device working signal can be quickly captured, providing a timely information source for fault detection, so that the fault can be detected at the early stage of occurrence. For the physiological parameter detection device that needs to operate continuously, it can ensure the continuity and stability of the equipment, and effectively improve the reliability and accuracy of the physiological parameter detection device.

[0057] In one embodiment, in order to ensure that the sensor electrode has stable performance and accurate measurement capability in the initialization stage, thereby ensuring the acquisition of reliable real-time working current and real-time working voltage, before acquiring the real-time working voltage and real-time working current of the physiological parameter detection device, the method further includes the following process:

[0058] First, the initial voltage of the physiological parameter detection device is collected according to the preset sampling period. For example: if the preset sampling period is 0.5 hours and the sampling rate is 3min / Point, the initial voltage of 10 points can be obtained. At this time, the average voltage, standard deviation and range value corresponding to the initial voltage can be calculated to determine whether the average voltage, standard deviation and range value are all within the corresponding preset threshold value. If so, it means that the physiological parameter detection device has reliable measurement capabilities, and the real-time working voltage and real-time working current of the physiological parameter detection device can be obtained.

[0059] Specifically, it is necessary to first obtain the initial voltage of the physiological parameter detection device after the sensor of the physiological parameter detection device completes the polarization process, so as to calculate the average voltage, standard deviation and range value corresponding to the initial voltage based on the following formula. When the initial voltage includes the working electrode voltage and the reference electrode voltage, the average voltage of the working electrode voltage is:

[0060] Where WEAvr is the average voltage of the working electrode voltage, n is the number of working electrode voltages collected in the preset sampling period, i = 1, 2, ..., n, indicating that the current is the i-th voltage, WEVol i Represents the i-th working electrode voltage collected during the sampling period.

[0061] The standard deviation of the working electrode voltage is: Where WESd is the standard deviation of the working electrode voltage.

[0062] The working electrode voltage range is: WEMax diff =Max(WE Vol i )-Min(WE Vol i ), where WEMax diff is the working electrode voltage range, Max(WEVol i) is the maximum working electrode voltage collected within the preset sampling period, Min(WEVol i ) is the minimum value of the working electrode voltage collected within the preset sampling period.

[0063] The average voltage of the reference electrode voltage is: Where REAvr is the average voltage of the reference electrode voltage, i = 1, 2, ..., n, indicating that the current voltage is the i-th voltage, REVol i Represents the i-th reference electrode voltage collected during the sampling period.

[0064] The standard deviation of the reference electrode voltage is: Where, REStd is the standard deviation of the reference electrode voltage.

[0065] The extreme value of the reference electrode voltage is: REMax diff =Max(REVol i )-Min(REVol i ), where REMax diff is the extreme value of the working electrode voltage, Max(REVol i ) is the maximum value of the reference electrode voltage collected within the preset sampling period, Min(REVol i ) is the minimum value of the reference electrode voltage collected within the preset sampling period.

[0066] When judging whether the average voltage, standard deviation, and range values ​​are all within the corresponding preset thresholds, the judgment can be made based on the following conditions:

[0067] Condition 1: WEAvr∈[WESetMinVoltage, WESetMaxVoltage], that is, whether the average voltage of the working electrode is within its acceptable range threshold;

[0068] Condition 2, WESd∈[WESetMinStd, WESetMaxStd], that is, whether the working electrode voltage standard deviation belongs to the acceptable range threshold of the working electrode voltage standard deviation, how to determine the acceptable range of the working electrode voltage standard deviation;

[0069] Condition 3, WEMax diff <WESetMax diff That is, whether the maximum difference in the working electrode voltage measurement is less than the upper limit value set for the working electrode voltage;

[0070] Condition 4, REAvr∈[RESetMinVoltage,RESetMaxVoltage], that is, whether the average voltage of the reference electrode is within the acceptable range threshold of the average voltage of the reference electrode;

[0071] Condition 5, REStd∈[RESetMinStd,RESetMaxStd], that is, whether the standard deviation of the reference electrode voltage is within the acceptable range threshold of the standard deviation of the reference electrode voltage;

[0072] Condition 6, REMax diff <RESetMax diff That is, whether the maximum difference in the reference electrode voltage measurement is within the acceptable upper limit of the maximum difference in the reference electrode voltage;

[0073] Condition 7, WorkVolSet = WEAvr-REAvr;

[0074] WorkVolSet∈[WorkVolSetMinVoltage, WorkVolSetMaxVoltage], that is, the working voltage is set within the acceptable range of the working voltage setting, and the working voltage setting is usually calculated by the difference between the working electrode average voltage (WEAvr) and the reference electrode average voltage (REAvr).

[0075] If it is determined that the average voltage, standard deviation and range values ​​are all within the preset thresholds corresponding to the above conditions 1-7, it means that the physiological parameter detection device has reliable measurement capabilities, and the real-time working voltage and real-time working current of the physiological parameter detection device can be obtained.

[0076] S102: Compare the real-time working voltage with a first preset threshold to obtain a voltage determination result, and compare the real-time working current with a second preset threshold to obtain a current determination result.

[0077] Since the current physiological parameter detection device is easily affected by noise, sensor performance drift, screen printing electrode breakage, wearing squeeze, short circuit and other problems when performing continuous physiological parameter detection, it may cause failure of the provincial parameter detection device. Therefore, in order to facilitate the determination of whether the physiological parameter detection device is abnormal, such as Figure 3 As shown in the present application, the real-time working voltage is compared with the first preset threshold value to obtain the voltage determination result, and the real-time working current is compared with the second preset threshold value to obtain the current determination result. Through the dual monitoring of voltage and current, the working state of the physiological parameter detection device can be more comprehensively understood. And for wearable physiological parameter detection devices, timely detection and abnormality of voltage and current can avoid the invalid signals collected by the faulty device from being used continuously, thereby helping to improve the reliability of the physiological parameter detection device.

[0078] Specifically, in one embodiment, based on Figure 2 The working circuit shown and Figure 3 , the real-time working voltage includes the working electrode voltage WEVoli , reference electrode voltage REVol i and the counter electrode voltage CEVol i The first preset threshold includes a first preset voltage threshold, a second preset voltage threshold and a preset voltage difference threshold. At this time, the real-time working voltage is compared with the first preset threshold to determine the voltage determination result, including the following process:

[0079] The real-time working voltage obtained from the test is input into the following working voltage positive and abnormal judgment model:

[0080] VolLoopResult i = func_ProcessVol(WEVol i ,REVol i ,CE Vol i )

[0081] Among them, VolLoopResult i This is the voltage determination result.

[0082] Through the above model, the working electrode voltage is first compared with the first preset voltage threshold, and the reference electrode voltage is compared with the second preset voltage threshold to determine the first voltage judgment result. That is, in the voltage judgment process, the judgment model is used to first determine whether the voltage signal is stable, that is, it is necessary to determine whether the voltage value input by the working electrode and the reference electrode is a stable value. When the input voltage signal WEVol i ,REVol i When the fluctuation exceeds the set threshold, it means that the first voltage judgment result is abnormal. At the same time, since the electrochemical reaction process of the physiological parameter detection device has a stable pressure difference, it is also necessary to determine the pressure difference between the working electrode voltage, the reference electrode voltage and the counter electrode voltage in the process of detecting abnormalities. According to the pressure difference value and the corresponding preset pressure difference threshold, the second voltage judgment result is determined. If there is an abnormal result in the first voltage judgment result or the second voltage judgment result, it means that the voltage judgment result VolLoopResult is abnormal. i This is an exception and needs to be handled as an error.

[0083] By simultaneously monitoring the working electrode voltage, the reference electrode voltage, and the counter electrode voltage, and comparing them with the preset voltage threshold, the process can comprehensively detect voltage anomalies in the electrochemical system. This comprehensive detection helps to promptly discover and deal with potential problems, thereby improving the stability and reliability of the physiological parameter detection device. By judging the stability of the voltage signal, that is, whether the voltage value fluctuates within a stable range, the process can ensure that the voltage in the electrochemical system is in a stable state. Since the pressure difference affects the rate and direction of the electrochemical reaction in the physiological parameter detection device, by detecting the pressure difference between the working electrode voltage, the reference electrode voltage, and the counter electrode voltage, and comparing them with the preset pressure difference threshold, it is possible to promptly determine whether the electrochemical reaction of the current physiological parameter detection device is operating normally, that is, to promptly discover voltage anomalies, thereby helping to reduce the overall maintenance cost of the physiological parameter detection device.

[0084] In one embodiment, referring to Figure 2 The preset voltage difference threshold includes a first preset voltage difference threshold and a second preset voltage difference threshold, and determining the second voltage determination result includes the following process:

[0085] The working electrode end WE and the counter electrode end CE are loops for generating current by electrochemical reaction. According to the principle of virtual short of op amp, the working electrode voltage of the working electrode end is equal to the voltage set by DAC. Since there is a stable voltage difference Vol_WR between the working electrode voltage and the reference electrode voltage, according to the principle of virtual short of op amp, the voltage of the reference electrode end RE is equal to the voltage set by DAC, so Vol_WR is a stable value. Therefore, the first voltage difference between the working electrode voltage and the counter electrode voltage is determined by the working voltage positive abnormality judgment model to determine whether it exceeds the first preset voltage difference threshold. That is, the first voltage difference value and the first preset voltage difference threshold are compared to obtain the first comparison result. At the same time, since the counter electrode end is connected to the output end of the op amp, the voltage is not fixed, but the voltage of the counter electrode end needs to be lower than the voltage of the reference electrode end and the working electrode end, so the second voltage difference between the reference electrode voltage and the counter electrode voltage also needs to be within the second preset voltage difference threshold. Therefore, it is necessary to compare the second voltage difference value and the second preset voltage difference threshold to obtain the second comparison result. If there is a result that exceeds the corresponding preset voltage difference threshold in the first comparison result and the second comparison result, then the second voltage judgment result VolLoopResult is determined. i is abnormal.

[0086] In this process, once the pressure difference value exceeds the preset pressure difference threshold, the process can immediately issue a warning signal and determine that the second voltage determination result is abnormal. This rapid fault warning and response mechanism not only improves the efficiency of fault detection, but also helps to avoid the problem of using erroneous physiological parameter detection data due to the output of invalid signals, thereby improving the reliability of the physiological parameter detection device.

[0087] In one embodiment, referring to Figure 3 , comparing the real-time working current with the second preset threshold value to determine the current determination result, including the following process:

[0088] The real-time working voltage obtained from the test is input into the following working current positive and abnormal judgment model:

[0089] CurrLoopResult i = func_ProcessCurr(InCurr i )

[0090] Among them, CurrLoopResult i InCurr is the current determination result. i is the real-time working current.

[0091] Because the physiological parameter detection device is affected by circuit noise, contact, drift, extrusion, etc., the current value corresponding to the real-time working current is sometimes not a current value that can reflect the physiological parameter detection value. Therefore, in this embodiment, in order to determine whether the real-time working current is affected by interference factors and thus has an abnormal situation, the first range value corresponding to the detection sensitivity of the physiological parameter detection device is obtained, and the second range value corresponding to the physiological parameter to be measured is obtained, and then the threshold range of the real-time working current is determined based on the first range value and the second range value, and the judgment model judges the real-time working current based on the threshold range to obtain the first current judgment result.

[0092] For example, in a physiological parameter detection device such as a continuous blood glucose monitor, under normal circumstances, the operating current of its sensor is linearly proportional to the glucose concentration of the human body, and the conversion coefficient between the two is defined as the in vivo sensitivity. The specific expression is: Among them, GLU is the glucose concentration in the human body, I w is the operating current of the CGM sensor, K s Based on this expression, we know that the real-time working current InCurr i =GLU*K s Since Ks is the sensitivity value of the glucose sensor, it has a first range value in a normal range under standardized production conditions, and GLU in the human body system also has a second range value in a normal range. Therefore, according to the first range value and the second range value, the normal real-time working current InCurr can be determined. i It has a certain range of values ​​[MinInCurr, MaxIncurr], and determines the input real-time working current InCurr through the judgment model i Whether the current exceeds the set threshold range, a first current determination result can be obtained.

[0093] The fluctuation of blood sugar level in the human body is a low-frequency signal, so the real-time working current is subjected to signal filtering processing. The second current judgment result is determined based on the processed real-time working current and the preset current threshold, which can realize the judgment of the real-time working current exceeding the threshold caused by high-frequency oscillation, sudden rise and fall, etc. In addition, for the performance attenuation and outer membrane damage of the sensor itself, the real-time working current will have signal drift for a long time, so it is necessary to perform low-pass filtering on the real-time working current to obtain the baseline of the real-time working current. The third current judgment result can be determined through the drift data of the baseline and the corresponding preset drift data threshold. It can be understood that when the baseline drifts over a long period of time and exceeds the normal fluctuation, the third current judgment result is abnormal and needs to be reported. If there is an abnormal result in the above-mentioned first current judgment result, the second current judgment result or the third current judgment result, the current judgment result CurrLoopResult of the real-time working current i It is abnormal, that is, the working current is abnormal and the model output is abnormal.

[0094] Furthermore, in one embodiment, the method further comprises: if the voltage determination result or the current determination result is abnormal, determining the real-time operating current as an invalid signal. Figure 3 As shown, when the voltage judgment result output by the working system positive abnormality judgment model is abnormal or the current judgment result output by the working current positive abnormality judgment model is abnormal, the real-time working current signal is an invalid signal. When an abnormal situation occurs, the real-time working current that can reflect the physiological parameter detection data is determined as an invalid signal, which can avoid the use of abnormal detection results, thereby ensuring the reliability of the physiological parameter detection device and avoiding the further use of erroneous results.

[0095] S103: Determine the fault type of the physiological parameter detection device according to the voltage determination result and the current determination result.

[0096] The faults existing in current physiological parameter detection devices can be divided into two categories: hard faults and soft faults. Among them, hard faults are mainly caused by problems with the sensor or the physiological parameter detection device itself, and the working current signal is an invalid signal at this time. Soft faults are mainly generated during the use of the physiological parameter detection device, and most of them are recoverable faults. Figure 3 As shown, after obtaining the voltage determination result and the current determination result, it can be determined whether the real-time working current is valid. At this time, the specific type of fault can be further determined by combining the voltage determination result and the current determination result, thereby facilitating targeted maintenance of the fault corresponding to the physiological parameter detection device.

[0097] Specifically, in one embodiment, the fault type includes soft fault and hard fault, and the fault type of the physiological parameter detection device is determined according to the voltage determination result and the current determination result, including the following process: if the voltage determination result is abnormal, that is, the voltage determination result VolLoopResult i If the voltage is abnormal, then the fault type can be determined to be a hard fault. Based on the above content, it can be known that the voltage determination result VolLoopResult i It is the result obtained after the func_ProcessVol function processes the real-time working voltage in the above process. If the third current judgment result is abnormal, that is, when drift occurs, the fault type can also be determined to be a hard fault. Among them, based on the above content, it can be known that the current judgment result CurrLoopResulti is the result obtained after the func_ProcessCurr function processes the real-time working current in the above process. If the first current judgment result or the second current judgment result is abnormal, it is necessary to detect whether the abnormality is restored within the preset time step. If the abnormality can be recovered, the fault type is determined to be a soft fault. On the contrary, if the abnormality is not restored, the fault type is determined to be a hard fault.

[0098] By combining the voltage determination results and the current determination results, it is possible to accurately distinguish whether a soft fault or a hard fault has occurred in the physiological parameter detection device. By detecting whether the abnormality is restored within the preset time step, the soft fault can be dynamically monitored and determined. This method takes into account both transient interference and the possibility of persistent faults, improving the accuracy and flexibility of fault determination. Through the above-mentioned precise fault type determination and timely fault handling, the instability and reduced reliability of the physiological parameter detection device caused by the fault can be effectively reduced, which helps to ensure the continuous and accurate operation of the physiological parameter detection device.

[0099] Further, in one embodiment, if Figure 3 As shown, after determining the fault type of the physiological parameter detection device, the method also includes: counting the number of hard faults of the physiological parameter detection device, and if the counted number exceeds the preset number threshold, outputting an alarm signal to the physiological parameter detection device. By counting the number of hard faults, when the number of faults reaches or exceeds the threshold, outputting an alarm signal can remind maintenance personnel to conduct inspections and repairs in a timely manner, thereby avoiding equipment failures at critical moments and ensuring the continued stable operation of the equipment. In addition, frequent hard faults may also mean that the equipment has serious quality problems or is about to reach the end of its service life, so timely output of alarm signals can prompt relevant personnel to take measures, such as replacing equipment or performing more in-depth technical repairs, thereby reducing the risks and losses caused by failures of the physiological parameter detection device.

[0100] The present application embodiment provides a fault type detection device for a physiological parameter detection device. The device includes:

[0101] at least one processor; and,

[0102] a memory communicatively connected to the at least one processor; wherein,

[0103] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any of the above-mentioned fault type detection methods for the physiological parameter detection device.

[0104] An embodiment of the present application provides a non-volatile storage medium storing computer executable instructions, wherein the computer executable instructions can implement at least any of the above-mentioned methods for detecting a fault type of a physiological parameter detection device.

[0105] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0106] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. 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.

[0107] The above is only one or more embodiments of the present application and is not intended to limit the present application. For those skilled in the art, one or more embodiments of the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for detecting a fault type of a physiological parameter detection device, characterized in that: The method comprises: Acquiring the real-time working voltage and real-time working current of the physiological parameter detection device; Compare the real-time working voltage with a first preset threshold to obtain a voltage determination result, and compare the real-time working current with a second preset threshold to obtain a current determination result; The fault type of the physiological parameter detection device is determined according to the voltage determination result and the current determination result.

2. The fault type detection method according to claim 1, characterized in that: The real-time working voltage includes a working electrode voltage, a reference electrode voltage, and a counter electrode voltage, the first preset threshold includes a first preset voltage threshold and a second preset voltage threshold, and the real-time working voltage is compared with the first preset threshold to determine a voltage determination result, including: Comparing the working electrode voltage with a first preset voltage threshold, and comparing the reference electrode voltage with a second preset voltage threshold, to determine a first voltage determination result; Determine a second voltage determination result based on the working electrode voltage, the reference electrode voltage and the counter electrode voltage; If there is an abnormal result in the first voltage determination result or the second voltage determination result, the voltage determination result is abnormal.

3. The fault type detection method according to claim 2, characterized in that: The first preset threshold value also includes a first preset pressure difference threshold value and a second preset pressure difference threshold value, and the second voltage determination result is determined based on the working electrode voltage, the reference electrode voltage and the counter electrode voltage, including: Determining a first voltage difference value between the working electrode voltage and the reference electrode voltage and a second voltage difference value between the working electrode voltage and the counter electrode voltage; If the first pressure difference value is greater than a first preset pressure difference threshold or the second pressure difference value is greater than a second preset pressure difference threshold, the second voltage determination result is abnormal.

4. The fault type detection method according to claim 1, characterized in that: Comparing the real-time working current with a second preset threshold to determine a current determination result includes: Acquire a first range value corresponding to the detection sensitivity of the physiological parameter detection device, and acquire a second range value corresponding to the physiological parameter to be detected; Determine a threshold interval of the real-time working current according to the first range value and the second range value, and determine the real-time working current based on the threshold interval to obtain a first current determination result; Performing signal filtering processing on the real-time working current, and determining a second current determination result according to the processed real-time working current and a preset current threshold; Performing low-pass filtering on the real-time working current to obtain a baseline of the real-time working current, and determining a third current determination result based on drift data of the baseline and a corresponding preset drift data threshold; If there is an abnormal result among the first current determination result, the second current determination result, or the third current determination result, the current determination result is abnormal.

5. The fault type detection method according to claim 4, characterized in that: The fault type includes a soft fault and a hard fault, and determining the fault type of the physiological parameter detection device according to the voltage determination result and the current determination result includes: If the voltage determination result is abnormal, determining the fault type is a hard fault; If the third current determination result is abnormal, determining the fault type is a hard fault; If the first current determination result or the second current determination result is abnormal, it is detected whether the abnormality is restored within a preset time step; if the abnormality is restored, the fault type is determined to be a soft fault; if the abnormality is not restored, the fault type is determined to be a hard fault.

6. The fault type detection method according to claim 5, characterized in that: After determining the fault type of the physiological parameter detection device, the method further includes: The number of hard failures of the physiological parameter detection device is counted, and if the counted number exceeds a preset number threshold, the physiological parameter detection device outputs an alarm signal.

7. The fault type detection method according to claim 1, characterized in that: Before obtaining the real-time working voltage and the real-time working current of the physiological parameter detection device, the method further includes: According to a preset sampling period, collecting the initial voltage of the physiological parameter detection device; Calculate the average voltage, standard deviation and range value corresponding to the initial voltage, and determine whether the average voltage, the standard deviation and the range value are all within the corresponding preset thresholds; If so, the real-time working voltage and the real-time working current of the physiological parameter detection device are obtained.

8. The fault type detection method according to claim 1, characterized in that: The method further comprises: If the voltage determination result or the current determination result is abnormal, the real-time operating current is determined to be an invalid signal.

9. A fault type detection device for a physiological parameter detection device, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method of any one of claims 1 to 8.

10. A non-volatile storage medium storing computer executable instructions, characterized in that: The computer executable instructions can execute the method according to any one of claims 1 to 8.

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