Speed ​​sensor operation fault diagnosis and management system based on data analysis

Abstract

The present invention relates to the field of sensor fault diagnosis technology, and in particular to a speed sensor operation fault diagnosis management system based on data analysis, including a fault diagnosis platform, an information retrieval unit, a deviation analysis unit, a risk assessment unit, a performance supervision unit, a real-time supervision unit and an execution response unit; the present invention performs analysis under the premise of an intuitive operating state and no interference of a target sensor, that is, performs operation performance supervision feedback analysis on external performance data, and then analyzes whether a target sensor has a fault from the perspective of operation performance, so as to reasonably and targetedly manage the target sensor according to the signal feedback situation, and at the same time performs lateral fault risk supervision operations on the state risk data, that is, performs fault analysis on the target sensor from a lateral perspective, and continuously tests multiple groups of data at the same time to improve the analysis accuracy, and intuitively understand the operation status and fault type of the target sensor based on text.

Description

Technical Field

[0001] The present invention relates to the technical field of sensor fault diagnosis, and in particular to a rotation speed sensor operation fault diagnosis management system based on data analysis. Background Art

[0002] As the name implies, the speed sensor is used to obtain the rotation speed, rotation distance, rotation direction, and rotation acceleration changes of a rotating object. It is widely used in the field of transportation to measure the vehicle's movement speed, direction, acceleration and other information, and control the vehicle based on the information obtained. For example, the train control system required in rail transportation implements speed-distance safety protection for the train based on this information to ensure the safety of train operation.

[0003] The engine speed sensor is used to obtain the engine speed signal, which is one of the basic parameters required for the engine to run. In the monitoring process of the speed sensor in the prior art, the analysis data is single and the interference factors cannot be supervised, which leads to a large deviation in the analysis result, which is not conducive to timely handling of the speed sensor failure and affects the safety of the car. Therefore, accurate detection of speed sensor failure is of great significance;

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

[0005] The purpose of the present invention is to provide a speed sensor operation fault diagnosis and management system based on data analysis to solve the technical defects mentioned above. The present invention performs analysis under the premise of intuitive operation state and no interference of the target sensor, that is, performs operation performance supervision feedback analysis on the external performance data, and then analyzes whether the target sensor has a fault from the perspective of operation performance, so as to reasonably and targetedly manage the target sensor according to the signal feedback situation, and at the same time perform side fault risk supervision operations on the state risk data. First, the engine itself is supervised and analyzed to reduce the impact of the engine on the test, that is, in-depth testing is performed under the premise that the engine is normal, that is, fault analysis of the target sensor is performed from a side perspective, and multiple groups of data are continuously tested at the same time to improve the analysis accuracy, and the operation status and fault type of the target sensor are intuitively understood based on the text.

[0006] The object of the present invention can be achieved by the following technical solutions: A speed sensor operation fault diagnosis management system based on data analysis includes a fault diagnosis platform, an information retrieval unit, a deviation analysis unit, a risk assessment unit, a performance supervision unit, a real-time supervision unit, and an execution response unit;

[0007] When the fault diagnosis platform generates an operation management instruction, the operation management instruction is sent to the information retrieval unit and the deviation analysis unit. After receiving the operation management instruction, the information retrieval unit immediately retrieves the external performance data and internal operation data of the speed sensor, the internal operation data includes the operation parameter value and the operation characteristic value, and the external performance data includes the resistance deviation value and the waveform abnormality value, and sends the internal operation data and the external performance data to the risk assessment unit and the performance supervision unit respectively. After receiving the internal operation data, the risk assessment unit immediately performs operation fault risk assessment and analysis on the internal operation data, sends the obtained stability signal to the performance supervision unit, the real-time supervision unit and the deviation analysis unit, and sends the obtained risk signal to the execution response unit;

[0008] After receiving the operation management instruction and the stable signal, the deviation analysis unit immediately collects the monitoring interference data of the target sensor, the monitoring interference data includes the collection evaluation value and the propagation impact value, and performs the collection interference distortion risk analysis on the monitoring interference data, and sends the obtained valid signal to the performance supervision unit and the real-time supervision unit through the risk assessment unit, and sends the obtained invalid signal to the execution response unit through the risk assessment unit;

[0009] After receiving the stable signal, the effective signal and the external performance data, the performance supervision unit immediately performs operation performance supervision feedback analysis on the external performance data and sends the obtained fault signal to the execution response unit;

[0010] After receiving the stable signal and the valid signal, the real-time monitoring unit immediately collects the engine's state risk data, which includes the test interference value and the speed deviation value, and performs side fault risk monitoring operations on the state risk data, and sends the obtained interference signal, normal signal and intermittent fault signal to the execution response unit.

[0011] Preferably, the operation failure risk assessment and analysis process of the risk assessment unit is as follows:

[0012] S1: The time between the start diagnosis time and the end diagnosis time of the speed sensor is collected and set as the time threshold, the speed sensor to be detected within the time threshold is obtained and marked as the target sensor, and the operating parameter value of the target sensor within the time threshold is obtained, where the operating parameter value represents the product of the part of the number of times that the operating voltage change value per unit time deviates from the preset threshold range for more than three consecutive times and the part of the number of times that the line reactive power change value per unit time exceeds the preset threshold for more than three consecutive times after data normalization processing;

[0013] S2: Obtain the operating characteristic value of the target sensor within the time threshold, the operating characteristic value represents the product of the portion of the maximum operating temperature exceeding the initial operating temperature and the operating temperature change value per unit time after data normalization, compare and analyze the operating characteristic value with the stored preset operating characteristic value threshold, and set the portion of the operating characteristic value greater than the preset operating characteristic value threshold as the characteristic risk value;

[0014] S3: Compare and analyze the operating parameter value and characteristic risk value with the preset operating parameter value threshold and preset characteristic risk value threshold that are stored internally:

[0015] If the operating parameter value is less than the preset operating parameter value threshold, and the characteristic risk value is less than the preset characteristic risk value threshold, a stable signal is generated;

[0016] If the operating parameter value is greater than or equal to the preset operating parameter value threshold, or the characteristic risk value is greater than or equal to the preset characteristic risk value threshold, a risk signal is generated.

[0017] Preferably, the collection interference distortion risk analysis process of the deviation analysis unit is as follows:

[0018] T1: Acquire the acquisition evaluation value of the target sensor within the time threshold. The acquisition evaluation value represents the frequency at which the environmental electromagnetic change value exceeds the preset environmental electromagnetic change value threshold and the product value obtained after data normalization processing of the minimum distance to the electromagnetic interference source. The electromagnetic interference source includes the automobile ignition system and radio equipment.

[0019] T2: Obtain the propagation impact value of the target sensor within the time threshold. The propagation impact value represents the product of the number of times the value corresponding to the environmental parameter exceeds the preset threshold and the total duration for which the value corresponding to the environmental parameter exceeds the preset threshold after data normalization. The environmental parameters include the pressure change value and the temperature change value.

[0020] T3: Compare and analyze the collection evaluation value and the propagation impact value with the preset collection evaluation value threshold and the preset propagation impact value threshold that are stored internally:

[0021] If the collection evaluation value is less than the preset collection evaluation value threshold, and the propagation impact value is less than the preset propagation impact value threshold, a valid signal is generated;

[0022] If the collection evaluation value is greater than or equal to the preset collection evaluation value threshold, or the propagation impact value is greater than or equal to the preset propagation impact value threshold, an invalid signal is generated.

[0023] Preferably, the performance supervision feedback analysis process of the performance supervision unit is as follows:

[0024] SS1: Divide the time threshold into i sub-time periods, where i is a natural number greater than zero, obtain the resistance value curve and signal waveform characteristic curve of the target sensor in each sub-time period, and then obtain the area enclosed by the resistance value curve and the X-axis, and set it as the resistance area, compare and analyze the resistance area with the stored preset resistance area interval, and set the part of the resistance area that deviates from the preset resistance area interval as the resistance deviation value, and at the same time obtain the overlap between the signal waveform characteristic curve and the preset signal waveform characteristic curve, and set it as the waveform stability value, compare and analyze the waveform stability value with the stored preset waveform stability value threshold, and set the part of the waveform stability value that is less than the preset waveform stability value threshold as the waveform abnormal value, and label the resistance deviation value and the waveform abnormal value as DPi and BXi respectively;

[0025] SS2: According to the formula The monitoring performance risk coefficient of each sub-time period is obtained, where a1 and a2 are preset proportional factor coefficients of the resistance deviation value and the waveform abnormal value, respectively, and a1 and a2 are both greater than zero, a3 is a preset correction factor coefficient, and its value is 2.292, and Hi is the monitoring performance risk coefficient of each sub-time period. Then, a set A of the monitoring performance risk coefficient Hi is constructed, and the proportion of the subsets corresponding to the values ​​of the subsets in the set A that are greater than the preset monitoring performance risk coefficient threshold is obtained, and it is set as the fault risk coefficient, and the fault risk coefficient is compared and analyzed with the preset fault risk coefficient threshold stored in the internal input:

[0026] If the ratio between the fault risk factor and the preset fault risk factor threshold is less than 1, no signal is generated;

[0027] If the ratio between the fault risk coefficient and the preset fault risk coefficient threshold is greater than or equal to 1, a fault signal is generated.

[0028] Preferably, the side fault risk supervision operation process of the live supervision unit is as follows:

[0029] The test interference value of the engine within the time threshold is obtained. The test interference value represents the product of the average value of the engine's operating voltage and the average value of the abnormal noise after data normalization, and the sum of the part of the input shaft's maximum rotation circumference that exceeds the preset rotation circumference after data normalization. It should be noted that the larger the value of the test interference value, the greater the risk of interference caused by the engine itself to the detection, and the greater the deviation of the test result. The test interference value is compared and analyzed with the preset test interference value threshold value recorded and stored internally:

[0030] If the test interference value is less than the preset test interference value threshold, a feedback instruction is generated;

[0031] If the test interference value is greater than or equal to the preset test interference value threshold, an interference signal is generated.

[0032] Preferably, when the live monitoring unit generates a feedback instruction:

[0033] The actual speed value and input speed ratio of the engine within the time threshold are obtained, and the theoretical input speed value is obtained based on the actual speed value and the input speed ratio. At the same time, the collected speed value of the target sensor within the time threshold is obtained, and then the difference between the theoretical input speed value and the collected speed value is obtained, and the difference between the theoretical input speed value and the collected speed value is set as the speed deviation value, and the speed deviation value is compared and analyzed with the preset speed deviation value range recorded and stored internally:

[0034] If the speed deviation value belongs to the preset speed deviation value range, a normal instruction is generated. When a normal instruction is generated, the speed deviation values ​​of g current target sensors are collected again, where g is a natural number greater than zero, and the number m corresponding to the speed deviation value belonging to the preset speed deviation value range is obtained, m∈g, and then according to the formula Obtain the sustainability assessment value, and compare and analyze the sustainability assessment value with the preset sustainability assessment value threshold value stored internally:

[0035] If the continuity evaluation value and the preset continuity evaluation value threshold are equal to 1, a normal signal is generated;

[0036] If the continuity evaluation value and the preset continuity evaluation value threshold are not equal to 1, an intermittent fault signal is generated.

[0037] The beneficial effects of the present invention are as follows:

[0038] (1) The present invention analyzes from two perspectives, namely, the operating state of the speed sensor to be detected and the external interference factors, so as to preliminarily determine whether the speed sensor to be detected has a fault. That is, by performing an operating fault risk assessment analysis on the internal operating data, it is determined whether the operating fault risk of the speed sensor to be detected is too high, so as to provide early warning feedback in a timely manner, and then perform timely management according to the information feedback, and further perform an acquisition interference distortion risk analysis on the monitoring interference data to understand the influence of the monitoring interference data of the target sensor on the subsequent test collection, so as to process the interference factors according to the signal feedback, so as to reduce the influence of the interference factors on the diagnostic analysis, and to improve the accuracy of the entire analysis result;

[0039] (2) The present invention performs analysis under the premise that the target sensor is in an intuitive operating state and without interference, that is, it performs operating performance supervision feedback analysis on the external performance data, and then analyzes whether the target sensor has a fault from the perspective of operating performance, so as to perform reasonable and targeted management of the target sensor based on the signal feedback situation, and at the same time performs side fault risk supervision operations on the state risk data. First, the engine itself is supervised and analyzed to reduce the impact of the engine on the test, that is, in-depth testing is performed under the premise that the engine is normal, that is, fault analysis of the target sensor is performed from a side perspective, and multiple groups of data are tested continuously at the same time to improve the analysis accuracy, and the operating status and fault type of the target sensor can be intuitively understood based on the text. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below in conjunction with the accompanying drawings;

[0041] Figure 1 It is a flowchart of the system of the present invention;

[0042] Figure 2 It is a partial reference diagram of the first embodiment of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Embodiment 1:

[0045] See also Figure 1 to Figure 2 As shown, the present invention is a speed sensor operation fault diagnosis and management system based on data analysis, including a fault diagnosis platform, an information retrieval unit, a deviation analysis unit, a risk assessment unit, a performance supervision unit, a real-time supervision unit and an execution response unit, the fault diagnosis platform is connected to the information retrieval unit and the deviation analysis unit in a one-way communication, the information retrieval unit is connected to the risk assessment unit and the performance supervision unit in a one-way communication, the risk assessment unit is connected to the performance supervision unit, the real-time supervision unit and the execution response unit in a one-way communication, the risk assessment unit is connected to the deviation analysis unit in a two-way communication, and the performance supervision unit and the real-time supervision unit are connected to the execution response unit in a one-way communication;

[0046] When the fault diagnosis platform generates an operation management instruction, the operation management instruction is sent to the information retrieval unit and the deviation analysis unit. After receiving the operation management instruction, the information retrieval unit immediately retrieves the external performance data and internal operation data of the speed sensor. The internal operation data includes the operation parameter value and the operation characteristic value, and the external performance data includes the resistance deviation value and the waveform abnormal value. The internal operation data and the external performance data are sent to the risk assessment unit and the performance supervision unit respectively. After receiving the internal operation data, the risk assessment unit immediately performs an operation fault risk assessment and analysis on the internal operation data to determine whether the operation fault risk of the speed sensor to be detected is too high, so as to provide timely early warning feedback, and then perform timely management according to the information feedback. The specific operation fault risk assessment and analysis process is as follows:

[0047] The duration between the start diagnosis time and the end diagnosis time of the speed sensor is collected and set as the time threshold, the speed sensor to be detected within the time threshold is obtained and marked as the target sensor, and the operating parameter value of the target sensor within the time threshold is obtained. The operating parameter value represents the product of the part of the number of times that the operating voltage change value per unit time deviates from the preset threshold range for more than three consecutive times and the part of the number of times that the line reactive power change value per unit time exceeds the preset threshold for more than three consecutive times after data normalization. It should be noted that the larger the numerical value of the operating parameter value, the greater the risk of operating failure of the target sensor;

[0048] The operation characteristic value of the target sensor within the time threshold is obtained. The operation characteristic value represents the product of the portion of the maximum value of the operating temperature exceeding the initial operating temperature and the value of the operating temperature change per unit time after data normalization. The operation characteristic value is compared and analyzed with the stored preset operation characteristic value threshold. The portion of the operation characteristic value greater than the preset operation characteristic value threshold is set as the characteristic risk value. It should be noted that the larger the value of the characteristic risk value, the greater the operation failure risk of the target sensor;

[0049] Compare and analyze the operating parameter values ​​and characteristic risk values ​​with the preset operating parameter value thresholds and preset characteristic risk value thresholds stored internally:

[0050] If the operating parameter value is less than the preset operating parameter value threshold, and the characteristic risk value is less than the preset characteristic risk value threshold, a stabilization signal is generated, and the stabilization signal is sent to the performance supervision unit, the live supervision unit, and the deviation analysis unit;

[0051] If the operating parameter value is greater than or equal to the preset operating parameter value threshold, or the characteristic risk value is greater than or equal to the preset characteristic risk value threshold, a risk signal is generated and sent to the execution response unit. After receiving the risk signal, the execution response unit immediately performs the preset warning operation corresponding to the risk signal, so as to reasonably manage the target sensor according to the signal feedback situation;

[0052] After receiving the operation management instruction and the stable signal, the deviation analysis unit immediately collects the monitoring interference data of the target sensor. The monitoring interference data includes the collection evaluation value and the propagation impact value, and performs collection interference distortion risk analysis on the monitoring interference data to understand the impact of the monitoring interference data of the target sensor on the subsequent test collection, so as to analyze the impact and improve the accuracy of the analysis results. The specific collection interference distortion risk analysis process is as follows:

[0053] The acquisition evaluation value of the target sensor within the time threshold is obtained. The acquisition evaluation value represents the frequency at which the environmental electromagnetic change value exceeds the preset environmental electromagnetic change value threshold, and the product value obtained after data normalization with the minimum distance from the electromagnetic interference source. The electromagnetic interference source includes the automobile ignition system, radio equipment, computer, etc. It should be noted that the larger the acquisition evaluation value, the greater the risk of data error in the analysis process;

[0054] The propagation impact value of the target sensor within the time threshold is obtained. The propagation impact value represents the product of the number of times the value corresponding to the environmental parameter exceeds the preset threshold and the total duration for which the value corresponding to the environmental parameter exceeds the preset threshold after data normalization. The environmental parameters include pressure change value, temperature change value, etc. It should be noted that the larger the value of the propagation impact value, the greater the risk of data error in the analysis process, and the greater the impact on the analysis result;

[0055] Compare and analyze the collection assessment value and propagation impact value with the preset collection assessment value threshold and preset propagation impact value threshold that are stored internally:

[0056] If the collection evaluation value is less than the preset collection evaluation value threshold, and the propagation impact value is less than the preset propagation impact value threshold, a valid signal is generated, and the valid signal is sent to the performance supervision unit and the live supervision unit via the risk assessment unit;

[0057] If the collection evaluation value is greater than or equal to the preset collection evaluation value threshold, or the propagation impact value is greater than or equal to the preset propagation impact value threshold, an invalid signal is generated, and the invalid signal is sent to the execution response unit via the risk assessment unit. After receiving the invalid signal, the execution response unit immediately displays the preset warning text corresponding to the invalid signal, so as to process the interference factors according to the signal feedback, so as to reduce the impact of the interference factors on the diagnostic analysis, so as to improve the accuracy of the entire analysis result.

[0058] Embodiment 2:

[0059] The analysis is performed under the premise of intuitive operation state and no interference of the target sensor. That is, after receiving the stable signal, effective signal and external performance data, the performance supervision unit immediately performs operation performance supervision feedback analysis on the external performance data, and then analyzes from the perspective of operation performance to understand whether the target sensor has a fault. The specific operation performance supervision feedback analysis process is as follows:

[0060] The time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the resistance value curve and signal waveform characteristic curve of the target sensor in each sub-time period are obtained, and then the area enclosed by the resistance value curve and the X-axis is obtained, and it is set as the resistance area, and the resistance area is compared and analyzed with the stored preset resistance area interval, and the part of the resistance area deviating from the preset resistance area interval is set as the resistance deviation value, and at the same time, the overlap between the signal waveform characteristic curve and the preset signal waveform characteristic curve is obtained, and it is set as the waveform stability value, and the waveform stability value is compared and analyzed with the stored preset waveform stability value threshold, and the part of the waveform stability value that is less than the preset waveform stability value threshold is set as the waveform abnormal value. It should be noted that the resistance deviation value and the waveform abnormal value are two influencing parameters reflecting the risk of target working failure, and the resistance deviation value and the waveform abnormal value are labeled DPi and BXi respectively;

[0061] According to the formula The monitoring performance risk coefficient of each sub-time period is obtained, where a1 and a2 are preset proportional factor coefficients for the resistance deviation value and the waveform abnormal value, respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. Both a1 and a2 are greater than zero, a3 is the preset correction factor coefficient, and its value is 2.292. Hi is the monitoring performance risk coefficient of each sub-time period, and then a set A of monitoring performance risk coefficient Hi is constructed. The proportion of subsets in set A whose corresponding values ​​are greater than the preset monitoring performance risk coefficient threshold is obtained, and it is set as the fault risk coefficient. The fault risk coefficient is compared and analyzed with the preset fault risk coefficient threshold stored internally:

[0062] If the ratio between the fault risk factor and the preset fault risk factor threshold is less than 1, no signal is generated;

[0063] If the ratio between the fault risk coefficient and the preset fault risk coefficient threshold is greater than or equal to 1, a fault signal is generated and sent to the execution response unit. After receiving the fault signal, the execution response unit immediately performs the preset warning operation corresponding to the fault signal, so as to reasonably manage the target sensor according to the signal feedback situation;

[0064] The analysis is performed under the premise that the target sensor is in an intuitive state and without interference. That is, after receiving stable signals and valid signals, the real-time supervision unit immediately collects the engine's state risk data, which includes the test interference value and the speed deviation value, and performs side fault risk supervision operations on the state risk data, and then analyzes the target sensor from a side perspective. At the same time, the engine itself is supervised and analyzed to reduce the impact of the engine on the test, that is, the test is performed under the premise that the engine is normal to improve the test accuracy and accurately understand whether the target sensor has a fault. The specific side fault risk supervision operation process is as follows:

[0065] The test interference value of the engine within the time threshold is obtained. The test interference value represents the product of the average value of the engine's operating voltage and the average value of the abnormal noise after data normalization, and the sum of the part of the input shaft's maximum rotation circumference that exceeds the preset rotation circumference after data normalization. It should be noted that the larger the value of the test interference value, the greater the risk of interference caused by the engine itself to the detection, and the greater the deviation of the test result. The test interference value is compared and analyzed with the preset test interference value threshold value recorded and stored internally:

[0066] If the test interference value is less than the preset test interference value threshold, a feedback instruction is generated;

[0067] If the test interference value is greater than or equal to the preset test interference value threshold, an interference signal is generated and sent to the execution response unit. After receiving the interference signal, the execution response unit immediately performs a preset warning operation corresponding to the interference signal, so as to process the engine in time to reduce the influence of the engine on the detection of the target sensor;

[0068] When generating a feedback instruction, the actual speed value and input speed ratio of the engine within the time threshold are obtained, and the theoretical input speed value is obtained based on the actual speed value and the input speed ratio. At the same time, the collected speed value of the target sensor within the time threshold is obtained, and then the difference between the theoretical input speed value and the collected speed value is obtained, and the difference between the theoretical input speed value and the collected speed value is set as the speed deviation value, and the speed deviation value is compared and analyzed with the preset speed deviation value range recorded and stored internally:

[0069] If the speed deviation value belongs to the preset speed deviation value range, a normal instruction is generated. When a normal instruction is generated, the speed deviation values ​​of g current target sensors are collected again, where g is a natural number greater than zero, and the number m corresponding to the speed deviation value belonging to the preset speed deviation value range is obtained, m∈g, and then according to the formula Obtain the sustainability assessment value, and compare and analyze the sustainability assessment value with the preset sustainability assessment value threshold value stored internally:

[0070] If the continuity evaluation value and the preset continuity evaluation value threshold are equal to 1, a normal signal is generated;

[0071] If the continuity evaluation value and the preset continuity evaluation value threshold are not equal to 1, an intermittent fault signal is generated, and the normal signal and the intermittent fault signal are sent to the execution response unit. After receiving the normal signal and the intermittent fault signal, the execution response unit immediately displays the preset warning text corresponding to the normal signal and the intermittent fault signal, so as to reasonably manage the target sensor according to the signal feedback, and intuitively understand the operation status of the target sensor according to the text;

[0072] In summary, the present invention analyzes from two perspectives: the operating state of the speed sensor to be detected and the external interference factors, so as to preliminarily determine whether the speed sensor to be detected is faulty, that is, by performing an operation failure risk assessment analysis on the internal operation data, so as to determine whether the operation failure risk of the speed sensor to be detected is too high, so as to provide timely early warning feedback, and then perform timely management according to the information feedback, and further perform acquisition interference distortion risk analysis on the monitoring interference data, so as to understand the influence of the monitoring interference data of the target sensor on the subsequent test collection, so as to process the interference factors according to the signal feedback, so as to reduce the influence of the interference factors on the diagnostic analysis, so as to improve the accuracy of the entire analysis result, The analysis is carried out under the premise that the target sensor is operating in an intuitive state and without interference, that is, the operation performance supervision feedback analysis is carried out on the external performance data, and then from the perspective of operation performance, it is analyzed whether the target sensor has a fault, so that the target sensor can be managed reasonably and targeted according to the signal feedback. At the same time, the state risk data is subjected to lateral fault risk supervision operations. First, the engine itself is supervised and analyzed to reduce the impact of the engine on the test, that is, in-depth testing is carried out under the premise that the engine is normal, that is, fault analysis of the target sensor is carried out from a lateral perspective, and multiple groups of data are tested continuously at the same time to improve the analysis accuracy, as well as to intuitively understand the operation status and fault type of the target sensor based on the text.

[0073] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0074] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A speed sensor operation fault diagnosis and management system based on data analysis, characterized in that: It includes a fault diagnosis platform, an information retrieval unit, a deviation analysis unit, a risk assessment unit, a performance supervision unit, a live supervision unit, and an execution response unit; When the fault diagnosis platform generates an operation management instruction, the operation management instruction is sent to the information retrieval unit and the deviation analysis unit. After receiving the operation management instruction, the information retrieval unit immediately retrieves the external performance data and internal operation data of the speed sensor, the internal operation data includes the operation parameter value and the operation characteristic value, and the external performance data includes the resistance deviation value and the waveform abnormality value, and sends the internal operation data and the external performance data to the risk assessment unit and the performance supervision unit respectively. After receiving the internal operation data, the risk assessment unit immediately performs operation fault risk assessment and analysis on the internal operation data, sends the obtained stability signal to the performance supervision unit, the real-time supervision unit and the deviation analysis unit, and sends the obtained risk signal to the execution response unit; After receiving the operation management instruction and the stable signal, the deviation analysis unit immediately collects the monitoring interference data of the target sensor, the monitoring interference data includes the collection evaluation value and the propagation impact value, and performs the collection interference distortion risk analysis on the monitoring interference data, and sends the obtained valid signal to the performance supervision unit and the real-time supervision unit through the risk assessment unit, and sends the obtained invalid signal to the execution response unit through the risk assessment unit; After receiving the stable signal, the effective signal and the external performance data, the performance supervision unit immediately performs operation performance supervision feedback analysis on the external performance data and sends the obtained fault signal to the execution response unit; After receiving the stable signal and the effective signal, the real-time monitoring unit immediately collects the state risk data of the engine, which includes the test interference value and the speed deviation value, and performs side fault risk monitoring operations on the state risk data, and sends the obtained interference signal, normal signal and intermittent fault signal to the execution response unit; The operational failure risk assessment and analysis process of the risk assessment unit is as follows: S1: The time between the start diagnosis time and the end diagnosis time of the speed sensor is collected and set as the time threshold, the speed sensor to be detected within the time threshold is obtained and marked as the target sensor, and the operating parameter value of the target sensor within the time threshold is obtained, where the operating parameter value represents the product of the part of the number of times that the operating voltage change value per unit time deviates from the preset threshold range for more than three consecutive times and the part of the number of times that the line reactive power change value per unit time exceeds the preset threshold for more than three consecutive times after data normalization processing; S2: Obtain the operating characteristic value of the target sensor within the time threshold, the operating characteristic value represents the product of the portion of the maximum operating temperature exceeding the initial operating temperature and the operating temperature change value per unit time after data normalization, compare and analyze the operating characteristic value with the stored preset operating characteristic value threshold, and set the portion of the operating characteristic value greater than the preset operating characteristic value threshold as the characteristic risk value; S3: Compare and analyze the operating parameter value and characteristic risk value with the preset operating parameter value threshold and preset characteristic risk value threshold that are stored internally: If the operating parameter value is less than the preset operating parameter value threshold, and the characteristic risk value is less than the preset characteristic risk value threshold, a stable signal is generated; If the operating parameter value is greater than or equal to the preset operating parameter value threshold, or the characteristic risk value is greater than or equal to the preset characteristic risk value threshold, a risk signal is generated; The collection interference distortion risk analysis process of the deviation analysis unit is as follows: T1: Acquire the acquisition evaluation value of the target sensor within the time threshold. The acquisition evaluation value represents the frequency at which the environmental electromagnetic change value exceeds the preset environmental electromagnetic change value threshold and the product value obtained after data normalization processing of the minimum distance to the electromagnetic interference source. The electromagnetic interference source includes the automobile ignition system and radio equipment. T2: Obtain the propagation impact value of the target sensor within the time threshold. The propagation impact value represents the product of the number of times the value corresponding to the environmental parameter exceeds the preset threshold and the total duration for which the value corresponding to the environmental parameter exceeds the preset threshold after data normalization. The environmental parameters include the pressure change value and the temperature change value. T3: Compare and analyze the collection evaluation value and the propagation impact value with the preset collection evaluation value threshold and the preset propagation impact value threshold that are stored internally: If the collection evaluation value is less than the preset collection evaluation value threshold, and the propagation impact value is less than the preset propagation impact value threshold, a valid signal is generated; If the collection evaluation value is greater than or equal to the preset collection evaluation value threshold, or the propagation impact value is greater than or equal to the preset propagation impact value threshold, an invalid signal is generated; The performance supervision feedback analysis process of the performance supervision unit is as follows: SS1: Divide the time threshold into i sub-time periods, where i is a natural number greater than zero, obtain the resistance value curve and signal waveform characteristic curve of the target sensor in each sub-time period, and then obtain the area enclosed by the resistance value curve and the X-axis, and set it as the resistance area, compare and analyze the resistance area with the stored preset resistance area interval, and set the part of the resistance area that deviates from the preset resistance area interval as the resistance deviation value, and at the same time obtain the overlap between the signal waveform characteristic curve and the preset signal waveform characteristic curve, and set it as the waveform stability value, compare and analyze the waveform stability value with the stored preset waveform stability value threshold, and set the part of the waveform stability value that is less than the preset waveform stability value threshold as the waveform abnormal value, and label the resistance deviation value and the waveform abnormal value as DPi and BXi respectively; SS2: According to the formula The monitoring performance risk coefficient of each sub-time period is obtained, where a1 and a2 are preset proportional factor coefficients of the resistance deviation value and the waveform abnormal value, respectively, and a1 and a2 are both greater than zero, a3 is a preset correction factor coefficient, and its value is 2.292, and Hi is the monitoring performance risk coefficient of each sub-time period. Then, a set A of the monitoring performance risk coefficient Hi is constructed, and the proportion of the subsets corresponding to the values ​​of the subsets in the set A that are greater than the preset monitoring performance risk coefficient threshold is obtained, and it is set as the fault risk coefficient, and the fault risk coefficient is compared and analyzed with the preset fault risk coefficient threshold stored in the internal input: If the ratio between the fault risk factor and the preset fault risk factor threshold is less than 1, no signal is generated; If the ratio between the fault risk factor and the preset fault risk factor threshold is greater than or equal to 1, a fault signal is generated; The side fault risk supervision operation process of the live supervision unit is as follows: The test interference value of the engine within the time threshold is obtained. The test interference value represents the product of the average value of the engine's operating voltage and the average value of the abnormal noise after data normalization, and the sum of the part of the input shaft's maximum rotation circumference that exceeds the preset rotation circumference after data normalization. The larger the test interference value, the greater the risk of interference caused by the engine itself to the detection, and the greater the deviation of the test result. The test interference value is compared and analyzed with the preset test interference value threshold value recorded and stored internally: If the test interference value is less than the preset test interference value threshold, a feedback instruction is generated; If the test interference value is greater than or equal to the preset test interference value threshold, an interference signal is generated; When the live monitoring unit generates a feedback instruction: The actual speed value and input speed ratio of the engine within the time threshold are obtained, and the theoretical input speed value is obtained based on the actual speed value and the input speed ratio. At the same time, the collected speed value of the target sensor within the time threshold is obtained, and then the difference between the theoretical input speed value and the collected speed value is obtained, and the difference between the theoretical input speed value and the collected speed value is set as the speed deviation value, and the speed deviation value is compared and analyzed with the preset speed deviation value range recorded and stored internally: If the speed deviation value belongs to the preset speed deviation value range, a normal instruction is generated. When a normal instruction is generated, the speed deviation values ​​of g current target sensors are collected again, where g is a natural number greater than zero, and the number m corresponding to the speed deviation value belonging to the preset speed deviation value range is obtained, m∈g, and then according to the formula Obtain the sustainability assessment value, and compare and analyze the sustainability assessment value with the preset sustainability assessment value threshold value stored internally: If the continuity evaluation value and the preset continuity evaluation value threshold are equal to 1, a normal signal is generated; If the continuity evaluation value and the preset continuity evaluation value threshold are not equal to 1, an intermittent fault signal is generated.

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