Fault detection method and detection system for manned vehicle

Abstract

The present invention provides a fault detection method for a manned vehicle, comprising: collecting fault information of the manned vehicle and establishing a fault information database; performing fault detection on the manned vehicle, comparing the detection result data with the fault information data in the fault information database, and determining the fault state of the fault object; formulating a solution strategy according to the fault state. The fault detection method for a manned vehicle provided by an embodiment of the present invention can automatically perform fault detection on the motion control system of the manned vehicle and determine the fault state of the fault object. At the same time, a corresponding solution strategy can be formulated according to the fault state to guide maintenance personnel to perform corresponding operations, making the fault detection of the manned vehicle more convenient and accurate, reducing the workload of maintenance personnel in troubleshooting, improving the efficiency of fault detection and equipment maintenance, and providing a guarantee for the safe operation of the manned vehicle underwater.

Description

Technical Field

[0001] The present invention relates to the technical field of manned vehicle fault detection, and in particular to a manned vehicle fault detection method and a manned vehicle fault detection system. Background Art

[0002] As high-end technical equipment for operation in complex environments, underwater manned vehicles undertake tasks such as underwater inspection, equipment deployment and recovery, and sample collection, which are of great significance to scientific research and resource exploration. Generally, underwater manned vehicles have the characteristics of long operation time, small operation space, high task intensity and harsh task environment. In particular, the closed and high-humidity underwater operation environment puts forward higher requirements for the safe operation of the control system of underwater manned vehicles.

[0003] Motion control technology is a key technology in the field of underwater manned vehicle technology, and the detection and maintenance of motion control system faults are the guarantee for its normal operation. Working in a complex underwater environment, once the motion control system of the underwater manned vehicle fails, it will not be able to complete the underwater operation task. Among the motion actuators of the manned vehicle, the rudder and thruster are responsible for the underwater movement and navigation of the manned vehicle, and are completely exposed to the external environment. They are one of the subsystems with the highest failure rate of the manned vehicle. Therefore, it is particularly important to study the fault diagnosis technology of the motion control system of the underwater manned vehicle. Summary of the invention

[0004] The present invention provides a fault detection method for a manned vehicle and a fault detection system for a manned vehicle, which are used for detecting the fault of a motion control system of the manned vehicle.

[0005] The present invention provides a fault detection method for a manned vehicle, comprising: collecting fault information of the manned vehicle and establishing a fault information database; performing fault detection on the manned vehicle, comparing the detection result data with the fault information data in the fault information database, and determining the fault state of the fault object; and formulating a solution strategy according to the fault state.

[0006] According to a fault detection method for a manned vehicle provided by the present invention, the step of collecting fault information of the manned vehicle and establishing a fault information database further includes: classifying and grading the fault information, and establishing the fault information database layer by layer according to the classification and grading.

[0007] According to a fault detection method for a manned vehicle provided by the present invention, the step of performing fault detection on the manned vehicle, comparing the detection result data with the fault information data in the fault information database, and determining the fault state of the fault object further includes: comparing whether the detection result data is the same as the fault information data in the fault information database, if they are the same, determining that the detection result data is the fault state of the fault object; if they are not the same, performing secondary fault detection.

[0008] According to a fault detection method for a manned vehicle provided by the present invention, the step of performing a secondary fault detection if they are not the same further includes: setting a secondary fault detection strategy and performing a fault detection.

[0009] A fault detection method for a manned vehicle provided according to the present invention also includes: comparing whether the secondary fault detection result data is the same as the fault information data in the fault information database; if they are the same, determining that the secondary fault detection result data is the fault state of the fault object; if they are not the same, recording the secondary fault detection result data.

[0010] According to a fault detection method for a manned vehicle provided by the present invention, the step of recording the secondary fault detection result data if they are not the same further includes: selecting tertiary fault detection result data and comparing them with the secondary fault detection result data, if they are the same, determining that the secondary fault detection result data is the fault state of the fault object; if they are not the same, recording the secondary fault detection result data.

[0011] According to a fault detection method for a manned vehicle provided by the present invention, the step of formulating a solution strategy based on the fault state further includes: establishing a solution strategy database based on the fault information database, and outputting a corresponding solution strategy based on the solution strategy database.

[0012] The present invention also provides a manned vehicle fault detection system that executes the manned vehicle fault detection method as described above, comprising: a fault diagnosis and positioning module, used to detect and locate the fault of the manned vehicle; a test strategy module, used to compare the fault of the manned vehicle, formulate a test strategy, and determine the fault state of the fault object; a human-computer interaction module, used to perform secondary fault detection on the fault of the manned vehicle; and a data communication module, used to transmit data between the manned vehicle and the fault diagnosis and positioning module, the test strategy module, and the human-computer interaction module.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for detecting a fault in a manned vehicle when executing the program.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned fault detection method for a manned vehicle are implemented.

[0015] The fault detection method for a manned vehicle provided in an embodiment of the present invention can automatically perform fault detection on a motion control system of a manned vehicle and determine the fault state of a fault object. At the same time, a corresponding solution strategy can be formulated according to the fault state to guide maintenance personnel to perform corresponding operations, thereby making the fault detection of the manned vehicle more convenient and accurate, reducing the workload of maintenance personnel in troubleshooting, improving the efficiency of fault detection and equipment maintenance, and providing a guarantee for the safe operation of the manned vehicle underwater. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 is a flow chart of a fault detection method for a manned vehicle provided by the present invention;

[0018] Figure 2 is a structural diagram of a manned vehicle test system provided by the present invention;

[0019] Figure 3 It is a work flow chart of the manned vehicle test system provided by the present invention;

[0020] Figure 4 The fault information database provided by the present invention is constructed layer by layer;

[0021] Figure 5 is a schematic diagram of the structure of an electronic device provided by the present invention;

[0022] Reference numerals:

[0023] 100: fault diagnosis and positioning module; 101: test strategy module; 102: human-computer interaction module; block;

[0024] 103: data communication module; 810: processor; 820: communication interface;

[0025] 830: memory; 840: communication bus. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] Combine the following Figure 1-Figure 5 The present invention describes a method for detecting a fault of a manned vehicle and a system for detecting a fault of a manned vehicle.

[0028] like Figure 1 As shown, in one embodiment of the present invention, a fault detection method for a manned vehicle includes:

[0029] Step 01: Collect fault information of manned vehicles and establish a fault information database.

[0030] Specifically, the fault information of the manned vehicle motion control system is collected, and a fault information database is established. The fault information includes: the location of the fault and the cause of the fault. Specifically, in one embodiment of the present invention, the fault information includes: the pressure of each oil port such as the oil suction port and the oil discharge port, the pump speed, the control signal of the pump control device, the oil replenishment pressure, the control oil pressure, the oil replenishment filter, the control oil filter alarm signal, the pump operation vibration index, the steering gear hydraulic cylinder motion parameter, the steering gear displacement and motion speed feedback signal, the system oil filter alarm signal, the system oil tank liquid level, the liquid temperature signal, the trim balance, the buoyancy adjustment system flow, the trim adjustment pump inlet and outlet pressure, and the trim balance water tank pressure, each water tank liquid level, trim balance, buoyancy adjustment system flow, water tank and outboard pressure difference, ballast water hatch automatic opening and closing device opening and closing signal, the real-time pressure and temperature signal of the blow-off gas cylinder group, the depth sensor, the rudder angle feedback device and the acceleration measurement device, etc. The fault information database contains the above-mentioned various fault locations and various causes of the fault.

[0031] Step 02: Perform fault detection on the manned vehicle, compare the detection result data with the fault information data in the fault information database, and determine the fault status of the fault object.

[0032] Specifically, after a fault is detected on a manned vehicle, the detection result data includes the fault location and the cause of the fault. The detection result data is compared with the fault information data in the fault information database. If the fault location and the cause of the fault are the same as the fault cause corresponding to the corresponding fault location stored in the fault information database, the detection result is determined to be accurate, and the detection result data is determined as the fault state of the fault object, which naturally also includes: the fault location and the cause of the fault.

[0033] Furthermore, if the detection result data is different from the data stored in the fault information database, a secondary fault detection is performed, and then the detection result data of the secondary fault detection is compared with the fault information data in the fault information database. If the comparison is the same, the detection result data of the secondary fault detection is determined as the fault state of the fault object; if the detection result data of the secondary fault detection is different from the data in the fault information database, the fault information is recorded.

[0034] Furthermore, while performing secondary fault detection, the human-computer interaction module can also be used to make a judgment on the fault information based on the operator's experience, and compare the fault judgment made by the operator with the detection result of the secondary fault detection of the test system. If the two are the same, the detection result data of the secondary fault detection is determined to be the fault state of the fault object; if they are different, the detection result data of the secondary fault detection of the test system is recorded, and the detection result data is included in the fault information database.

[0035] For example, the fault object stored in the fault information database is: pump speed, and its fault cause is: bearing damage. If the test system detects the fault and its detection result is also pump speed, and the fault cause is bearing damage, which is the same as the data in the fault information database, then it is determined that the detection result is accurate, and the fault state of the fault object is: pump speed and bearing damage.

[0036] If the test result is: pump speed, but the cause of the fault is impeller offset, after comparison with the fault information database, it is found that the cause of the fault is different. Then a secondary fault detection is performed, and the test system performs fault detection again in the way of fault reproduction, and the detection object is set to pump speed. If the test result is pump speed and bearing damage, then the test result is determined to be the fault state of the fault object. If the test result is pump speed and motor demagnetization due to winding burnout, since there is no such fault information data in the fault information database, then the test result is recorded, and the fault information data of pump transfer and motor demagnetization due to winding burnout is included in the fault information database.

[0037] Furthermore, during the secondary fault detection process, the operator can also judge the fault based on his or her own experience. If the staff believes that the cause of the reduced pump speed is impeller offset, and the test system's test result is also pump speed, the cause of the fault is impeller offset. At this time, the judgment made by the operator is the same as the test system's secondary fault detection test result data, then the fault state of the fault object is determined to be: pump speed and impeller offset.

[0038] Step 03: Develop a solution strategy based on the fault status.

[0039] Specifically, according to the fault status tested by the test system, the test system will automatically generate corresponding maintenance operation instructions to guide maintenance personnel to perform corresponding maintenance.

[0040] The fault detection method for a manned vehicle provided in an embodiment of the present invention can automatically perform fault detection on a motion control system of a manned vehicle and determine the fault state of a fault object. At the same time, a corresponding solution strategy can be formulated according to the fault state to guide maintenance personnel to perform corresponding operations, thereby making the fault detection of the manned vehicle more convenient and accurate, reducing the workload of maintenance personnel in troubleshooting, improving the efficiency of fault detection and equipment maintenance, and providing a guarantee for the safe operation of the manned vehicle underwater.

[0041] like Figure 4 As shown, in one embodiment of the present invention, the step of collecting fault information of a manned vehicle and establishing a fault information database further includes: classifying and grading the fault information, and establishing a fault information database layer by layer according to the classification and grading.

[0042] Specifically, when establishing the fault information database, in order to enhance the fault detection capability of the test system, the fault information is divided according to type and level. The test system adopts the IEEE1149.5 MTM-BUS standard, and the board-level test adopts the IEEE1149.1 series standard. The fault information database is established according to the layer-by-layer fault detection structure of chip level-printed board module level-functional component level-equipment level-system level to include fault information of various levels and types.

[0043] like Figure 3 As shown, in one embodiment of the present invention, a fault detection is performed on a manned vehicle, and the detection result data is compared with the fault information data in a fault information database, and the step of determining the fault state of the fault object further includes: comparing whether the detection result data is the same as the fault information data in the fault information database, if they are the same, determining that the detection result data is the fault state of the fault object; if they are not the same, performing a secondary fault detection.

[0044] Specifically, when the test system is performing fault detection, some faults are random faults. When the fault no longer occurs, it is determined that the fault is a random fault and the manned vehicle is working normally. If the fault continues to occur, it is determined that the fault is a real fault of the manned vehicle, that is, the fault is detected. After detection, the fault detection result data is compared with the fault information data in the fault information database, that is, the fault location and fault cause are compared with the data in the fault information database. If the two are exactly the same, the detection result data is determined to be the fault state of the fault object; if one of the two data is different, a secondary fault detection is performed.

[0045] At this time, it is determined whether the test system has the signal feedback capability. If so, the human-computer interaction module is started to perform secondary fault detection.

[0046] Specifically, when performing secondary fault detection, the operator first searches the fault reproduction database for other possible causes of the fault as a test strategy, and then compares the secondary fault detection result data of the test system with the data in the fault information database. If the data of the two are exactly the same, the secondary fault detection result data is deemed accurate, and the secondary fault detection result data is determined as the fault state of the fault object; if there is a difference between the data of the two, the test system records the secondary fault detection result data and incorporates the secondary fault detection result data into the fault information database.

[0047] For example, the fault object stored in the fault information database is: pump speed, and its fault causes are: bearing damage and motor demagnetization due to winding burnout. If the test system detects the fault and its detection result is also pump speed, and the fault cause is bearing damage, which is the same as the data in the fault information database, then it is determined that the detection result is accurate, and the fault state of the fault object is: pump speed and bearing damage.

[0048] If the test result is: pump speed, but the cause of the fault is impeller offset, after comparison with the fault information database, it is found that the cause of the fault is different. Then start the human-computer interaction module and perform secondary fault detection. The operator first searches for other causes of the fault from the fault reproduction database as a test strategy for fault testing. If the operator finds in the fault reproduction database that the cause of the reduced pump speed is: the motor loses magnetism due to winding burnout, and performs secondary fault detection on the manned vehicle according to this fault state, if the test result data of the secondary fault detection is pump speed and motor loses magnetism due to winding burnout, which is the same as the fault cause in the fault information database, then the secondary fault detection result data is determined to be the fault state of the fault object; if the secondary fault detection result data is pump speed and impeller offset, then record the test result and include the fault information data of pump speed and impeller offset in the fault information database.

[0049] Furthermore, when performing secondary fault detection, the working experience of the operator can be used to assist the secondary fault detection in obtaining a detection result.

[0050] Specifically, the operator selects the cause of the fault in the test system according to his own experience and uses the cause of the fault as the third fault detection result data. The test system compares the third fault detection result data with the secondary fault detection result data detected by the test system. If the two are the same, the secondary fault detection result is deemed to be accurate, and the secondary fault detection result data is deemed to be the fault state of the fault object; if the two are different, the secondary fault detection result data is recorded and included in the fault information database.

[0051] For example, the fault object stored in the fault information database is: pump speed, and its fault cause is: bearing damage. At the beginning of the secondary fault detection, the operator first searches for other causes of the fault from the fault reproduction database as a test strategy for fault testing. At the same time, the operator also makes a judgment on the cause of the reduction in pump speed based on his work experience, and transmits the judgment result to the test system through the human-computer interaction module. If the fault cause of the reduction in pump speed found by the operator in the fault reproduction database is: the motor loses magnetism due to winding burnout, and the manned vehicle is subjected to secondary fault detection according to this fault state, if the test result data of the secondary fault detection is pump speed and motor loses magnetism due to winding burnout, the judgment made by the operator based on work experience is also: pump speed and motor loses magnetism due to winding burnout. At this time, the pump speed and motor lose magnetism due to winding burnout are determined as the fault state of the fault object; if the result determined by the operator is impeller deflection, the test result of pump speed and motor lose magnetism due to winding burnout is recorded in the fault information database.

[0052] In one embodiment of the present invention, the step of formulating a solution strategy according to the fault state further includes: establishing a solution strategy database according to the fault information database, and outputting a corresponding solution strategy according to the solution strategy database.

[0053] Specifically, while establishing a fault information database, a corresponding solution strategy database is also established based on the fault information in the fault information database. After the test system determines the fault state of the fault object, a corresponding solution strategy is formulated based on the corresponding fault state and output to guide operators to perform fault repairs.

[0054] The fault detection system of the manned vehicle provided by the present invention is described below. The fault detection system of the manned vehicle described below and the fault detection method of the manned vehicle described above can be referred to each other.

[0055] like Figure 2 As shown, an embodiment of the present invention further provides a fault detection system for a manned vehicle, including: a fault diagnosis and positioning module 100 , a test strategy module 101 , a human-computer interaction module 102 and a data communication module 103 .

[0056] The fault diagnosis and positioning module 100 is used to detect and locate faults of the manned vehicle. Specifically, when a fault occurs in the manned vehicle, the fault diagnosis and positioning module 100 determines whether the fault is a random fault or whether the manned vehicle actually has a fault. If the fault diagnosis and positioning module 100 receives a fault signal only once, the fault information is determined to be a random fault and the manned vehicle operates normally. If the fault diagnosis and positioning module 100 continuously receives a fault signal, the manned vehicle is detected for the fault and the location of the fault is determined.

[0057] The test strategy module 101 is used to compare the faults of the manned vehicle and formulate a test strategy to determine the fault state of the fault object. Specifically, the test strategy module 101 compares the test result data detected by the fault diagnosis and positioning module 100 with the fault information data in the fault information database. If the two data are the same, the test result data is determined to be accurate and the test result data is used as the fault state of the fault object; if the two are different, a secondary fault detection is performed.

[0058] The human-computer interaction module 102 is used to perform secondary fault detection on the manned vehicle. Specifically, when performing secondary fault detection, the human-computer interaction module 102 is started, and the operator first searches for other possible causes of the fault from the fault reproduction database as a test strategy for testing, and then compares the secondary fault detection result data of the test system with the data in the fault information database. If the data of the two are exactly the same, the secondary fault detection result data is determined to be accurate, and the secondary fault detection result data is determined as the fault state of the fault object; if the data of the two are different, the test system records the secondary fault detection result data and includes the secondary fault detection result data in the fault information database.

[0059] Furthermore, when performing secondary fault detection, the working experience of the operator can be used to assist the secondary fault detection in obtaining a detection result.

[0060] Specifically, the operator selects the cause of the fault in the test system according to his own experience and uses the cause of the fault as the third fault detection result data. The test system compares the third fault detection result data with the second fault detection result data detected by the test system. If the two are the same, the secondary fault detection result is deemed accurate, and the secondary fault detection result is deemed as the fault state of the fault object; if the two are different, the secondary fault detection result data is recorded and included in the fault information database.

[0061] The data communication module 103 is used for data transmission among the manned vehicle, the fault diagnosis and positioning module 100 , the test strategy module 101 and the human-computer interaction module 102 .

[0062] Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the fault detection method of the manned vehicle, the method comprising: collecting the fault information of the manned vehicle and establishing a fault information database; performing fault detection on the manned vehicle, comparing the detection result with the fault information database, and determining the fault state of the fault object; formulating a solution strategy according to the fault state.

[0063] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0064] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the fault detection method of the manned vehicle provided by the above methods, and the method includes: collecting fault information of the manned vehicle and establishing a fault information database; performing fault detection on the manned vehicle, comparing the detection results with the fault information database, and determining the fault state of the fault object; and formulating a solution strategy according to the fault state.

[0065] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the above-mentioned manned vehicle fault detection method, the method comprising: collecting fault information of the manned vehicle and establishing a fault information database; performing fault detection on the manned vehicle, comparing the detection result with the fault information database, and determining the fault state of the fault object; and formulating a solution strategy according to the fault state.

[0066] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0067] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A fault detection method for a manned vehicle, It is characterized in that include: Collecting fault information of the manned vehicle and establishing a fault information database; Performing fault detection on the manned vehicle, comparing the detection result data with the fault information data in the fault information database, and determining the fault state of the fault object; According to the fault status, formulate a solution strategy; Wherein, the step of performing fault detection on the manned vehicle, comparing the detection result data with the fault information data in the fault information database, and determining the fault state of the fault object further comprises: comparing whether the detection result data is the same as the fault information data in the fault information database, and if they are the same, determining that the detection result data is the fault state of the fault object; if they are not the same, performing secondary fault detection; If they are not the same, the step of performing a secondary fault detection further includes: setting a secondary fault detection strategy and performing a fault detection, comparing whether the secondary fault detection result data is the same as the fault information data in the fault information database, and if they are the same, determining that the secondary fault detection result data is the fault state of the fault object; if they are not the same, recording the secondary fault detection result data; If they are not the same, the step of recording the secondary fault detection result data further includes: selecting tertiary fault detection result data and comparing them with the secondary fault detection result data, and if they are the same, determining that the secondary fault detection result data is the fault state of the fault object; if they are not the same, recording the secondary fault detection result data.

2. The method for detecting a fault of a manned vehicle according to claim 1, It is characterized in that The step of collecting the fault information of the manned vehicle and establishing a fault information database further comprises: The fault information is classified and graded, and the fault information database is established layer by layer according to the classification and the grade.

3. The fault detection method of a manned vehicle according to claim 1, It is characterized in that The step of formulating a solution strategy according to the fault state further includes: A solution strategy database is established according to the fault information database, and a corresponding solution strategy is output according to the solution strategy database.

4. A manned vehicle fault detection system for executing the manned vehicle fault detection method according to any one of claims 1 to 3, It is characterized in that include: A fault diagnosis and positioning module, used for detecting and locating faults of the manned vehicle; A test strategy module, used to compare the fault of the manned vehicle and formulate a test strategy to determine the fault state of the fault object. The test strategy module is also used to compare whether the test result data is the same as the fault information data in the fault information database. If they are the same, determine that the test result data is the fault state of the fault object; If they are not the same, the human-computer interaction module will perform secondary fault detection; The human-computer interaction module is used for secondary fault detection of the faults of the manned carrier. The human-computer interaction module is also used for setting a secondary fault detection strategy and performing fault detection, comparing whether the secondary fault detection result data is the same as the fault information data in the fault information database. If they are the same, it is determined that the secondary fault detection result data is the fault state of the fault object; If they are not the same, record the secondary fault detection result data; Select the tertiary fault detection result data and compare it with the secondary fault detection result data. If they are the same, determine that the secondary fault detection result data is the fault state of the fault object; If they are not the same, record the secondary fault detection result data; The data communication module is used for data transmission between the manned carrier and the fault diagnosis and location module, the test strategy module, and the human-computer interaction module.

5. An electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, when the processor executes the program, the steps of the fault detection method of the manned carrier according to any one of claims 1 to 3 are implemented.

6. A non-transitory computer-readable storage medium, on which a computer program is stored, wherein, when the computer program is executed by a processor, the steps of the fault detection method of the manned carrier according to any one of claims 1 to 3 are implemented.

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