Fault diagnosis and monitoring method and system

Abstract

The invention provides a fault diagnosis and monitoring method and system, and relates to the technical field of fault monitoring and diagnosis of battery quick-change vehicles. The fault diagnosis and monitoring method comprises the following steps that whole vehicle signals are collected, the whole vehicle signals at least comprise one of a whole vehicle system signal, a control output signal and an engine state signal, the control output signal at least comprises a whole vehicle control signal and an output execution signal, and the output execution signal is used for controlling a whole vehicle electrical part to execute a target action; the vehicle control signal is used for controlling a control output module of the vehicle controller to generate an output execution signal; based on the whole vehicle signal, a whole vehicle fault diagnosis result is generated, and the whole vehicle fault diagnosis result at least comprises the fault position and the fault type. According to the scheme, the whole vehicle signal is collected, and fault diagnosis and monitoring are performed based on the whole vehicle signal, so that detection and maintenance operation on the vehicle in a severe environment can be avoided, the safety of the vehicle and manpower is ensured, and relatively high practicability and economic benefits are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of fault monitoring and diagnosis of battery quick-swap vehicles, and in particular to a fault diagnosis and monitoring method and system. Background Art

[0002] The battery quick-change vehicle adopts a two-stage articulated frame design, with an explosion-proof diesel engine as the power source. The closed drive system closed pump, motor and reducer cooperate to provide driving force. The hydraulic cylinder drives the articulated part to turn. The hydraulic cylinder controls the movement and action of the quick-change mechanism to achieve rapid transportation and replacement of the battery of the electric shovel truck. The underground working environment of the coal mine is harsh, humid and dusty, and the road conditions are bumpy. The vehicle vibrates and bumps violently, and it is easy to malfunction. Due to the inconvenience of underground communication in coal mines and the difficulty in communicating with the outside world, when encountering problems that vehicle maintenance personnel cannot solve, they need to be guided by professional technicians and through vehicle data analysis to complete fault location and maintenance. Therefore, the on-board fault diagnosis and monitoring system has very important product value.

[0003] At present, the mainstream fault diagnosis system for underground special equipment is simple and can only display the main status parameters of vehicle operation and intuitive sensor fault alarm information. When the vehicle is running, many control logics are not running properly, resulting in abnormal vehicle operation status, which cannot be monitored through sensor fault alarms. This causes serious inconvenience to vehicle operators and maintenance personnel, and directly affects driving safety and maintenance efficiency.

[0004] In addition, underground special vehicles use more fuel-driven vehicles. With the development of intelligent equipment, the role of the electrical system in the whole vehicle is becoming more and more important. However, compared with mechanical hydraulic failures, electrical system failures are very vague and abstract, and not intuitive. They must be judged by the whole vehicle control system and then the fault is located. At present, the on-board fault diagnosis and monitoring system of underground special vehicles cannot meet the needs of complex electronic control system operation.

[0005] Currently, no effective solution has been proposed for the above-mentioned technical problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a fault diagnosis and monitoring method and system to solve the problem in the prior art that the on-board fault diagnosis and monitoring system of underground special vehicles cannot meet the operating requirements of the electronic control system.

[0007] In order to achieve the above-mentioned purpose, according to one aspect of the present invention, a fault diagnosis and monitoring method is provided, which includes the following steps: collecting vehicle signals, the vehicle signals include at least one of the following: vehicle system signals, control output signals and engine status signals, wherein the control output signals include at least vehicle control signals and output execution signals, the output execution signals are used to control the vehicle electrical components to execute target actions, and the vehicle control signals are used to control the control output module of the vehicle controller to generate output execution signals; based on the vehicle signals, generating vehicle fault diagnosis results, the vehicle fault diagnosis results include at least the fault location and the fault type.

[0008] Furthermore, the vehicle system signal at least includes an electronic control system signal, and the electronic control system signal includes at least one of the following: a gear lever signal, a light control signal, an engine electrical protection enable signal, a traction enable signal, and an accelerator pedal signal.

[0009] Furthermore, the vehicle system signal includes at least a hydraulic system signal, and the hydraulic system signal includes at least one of the following: an engine start button signal, a parking release button signal, an oil pressure sensor signal, a hydraulic oil temperature sensor signal, an oil level sensor signal, and a parking brake pressure sensor signal.

[0010] Furthermore, the vehicle system signal at least includes a safety system signal, and the safety system signal includes at least one of the following: a methane concentration signal and a carbon monoxide concentration signal.

[0011] Furthermore, the output execution signal includes at least one of the following: a vehicle solenoid valve drive signal and a vehicle lighting control signal.

[0012] Furthermore, based on the vehicle system signal, a vehicle fault diagnosis result is generated, including the following steps: based on the vehicle system signal and the engine status signal, a simple and intuitive fault result in the vehicle fault diagnosis result is generated, and the simple and intuitive fault result at least includes hardware damage fault, parameter status fault and signal transmission fault; wherein, hardware damage fault is used to characterize vehicle fault caused by hardware damage, parameter status fault is used to characterize vehicle fault caused by hardware parameters exceeding a threshold, and signal transmission fault is used to characterize vehicle fault caused by signal transmission error.

[0013] Furthermore, generating a whole vehicle fault diagnosis result based on the whole vehicle system signal also includes the following steps: generating a complex fuzzy fault result in the whole vehicle fault diagnosis result based on the whole vehicle system signal, the engine status signal and the control output signal, the complex fuzzy fault result at least includes an operation logic fault, and the operation logic fault is used to characterize the vehicle fault caused by the whole vehicle control logic error.

[0014] Furthermore, generating a whole vehicle fault diagnosis result based on the whole vehicle system signal also includes the following steps: obtaining a fault prediction model; generating a predicted fault result in the whole vehicle fault diagnosis result based on the whole vehicle signal and the fault prediction model, and the predicted fault result is used to characterize the fault occurrence trend of the vehicle.

[0015] According to another aspect of the present invention, there is provided a fault diagnosis and monitoring system, comprising: a signal acquisition module, for collecting vehicle signals, the vehicle signals comprising at least one of the following: vehicle system signals, control output signals and engine status signals, wherein the control output signals at least comprise vehicle control signals and output execution signals, the output execution signals being used to control the vehicle electrical components to execute target actions, the vehicle control signals being used to control the control output module of the vehicle controller to generate output execution signals; a fault diagnosis module, the fault diagnosis module being used to generate vehicle fault diagnosis results based on the vehicle signals, the vehicle fault diagnosis results comprising at least the fault location and the fault type.

[0016] Furthermore, the fault diagnosis and monitoring system also includes: a signal processing module, which is used to perform signal processing on the vehicle system signal, and the signal processing includes at least one of the following: interference removal, analysis, transformation, and calculation processing; a display module, which is used to generate fault display information based on the vehicle fault diagnosis results, and the fault display information includes at least fault location information and fault type information.

[0017] By applying the technical solution of the present invention, vehicle signals are collected, and the vehicle signals include at least one of the following: vehicle system signals, control output signals, and engine status signals, wherein the control output signals include at least vehicle control signals and output execution signals, and the output execution signals are used to control the electrical components of the vehicle to execute the target action, and the vehicle control signals are used to control the control output module of the vehicle controller to generate the output execution signals; based on the vehicle signals, vehicle fault diagnosis results are generated, and the vehicle fault diagnosis results include at least the fault location and the fault type. In view of the complex working environment of the target vehicle, by collecting vehicle signals and making fault diagnosis and monitoring based on the vehicle signals, manual inspection, maintenance and other operations on the vehicle in harsh environments can be avoided, so as to save manpower and vehicle maintenance costs, ensure the safety of vehicles and labor, and have high practicality and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 A flow chart showing a first embodiment of a fault diagnosis and monitoring method according to the present invention is shown;

[0020] Figure 2 A flow chart showing a second embodiment of the fault diagnosis and monitoring method according to the present invention is shown;

[0021] Figure 3 A schematic diagram showing the structure of an embodiment of a fault diagnosis and monitoring system according to the present invention is shown;

[0022] Figure 4 A schematic diagram showing a first embodiment of a fault type of a fault diagnosis and monitoring system according to the present invention;

[0023] Figure 5 A schematic diagram showing a second embodiment of the fault type of the fault diagnosis and monitoring system according to the present invention. DETAILED DESCRIPTION

[0024] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0025] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] Now, exemplary embodiments according to the present application will be described in more detail with reference to the accompanying drawings. However, these exemplary embodiments may be implemented in a variety of different forms and should not be construed as being limited to the embodiments described herein. It should be understood that these embodiments are provided to make the disclosure of the present application thorough and complete, and to fully convey the concepts of these exemplary embodiments to those of ordinary skill in the art. In the accompanying drawings, for the sake of clarity, the thickness of the layers and regions may be enlarged, and the same reference numerals are used to represent the same devices, and thus their descriptions will be omitted.

[0028] Combination Figures 1 to 3 As shown, according to a specific embodiment of the present application, a fault diagnosis and monitoring method is provided.

[0029] Specifically, Figure 1 As shown, the fault diagnosis and monitoring method includes the following steps:

[0030] Step S10: collecting vehicle signals, the vehicle signals including at least one of the following: vehicle system signals, control output signals and engine status signals, wherein the control output signals at least include vehicle control signals and output execution signals, the output execution signals are used to control the vehicle electrical components to execute target actions, and the vehicle control signals are used to control the control output module of the vehicle controller to generate the output execution signals;

[0031] Specifically, the vehicle system signal includes the signals of various vehicle systems. The vehicle as a whole has many systems such as electronic control system, hydraulic system, structural system, lighting system and safety system, which provide necessary data input for fault diagnosis and monitoring of the target vehicle. On this basis, the vehicle status can be further accurately diagnosed and monitored based on the control output signal and the engine status signal, so as to detect vehicle problems in time.

[0032] In this embodiment, the vehicle control signal is used to control the system of the whole vehicle and to make preset target control instructions. After receiving the control signal, each corresponding system outputs an execution signal to make the corresponding preset instruction action. By collecting the control output signal and simultaneously performing data analysis on the control output signal and the action status at both the control end and the execution system end, the output control device and control signal transmission data information of the whole vehicle are provided for the fault diagnosis and monitoring of the target vehicle, which is convenient for analyzing whether there is a fault in the whole vehicle control. At the same time, relevant signals of the engine status are directly collected. The engine status information includes engine exhaust temperature, surface temperature, oil pressure, cooling water temperature, speed, start and stop information. The engine status can be directly obtained by collecting and analyzing this information, and whether there is a fault in the engine can be evaluated.

[0033] Step S12: generating a vehicle fault diagnosis result based on the vehicle signal, wherein the vehicle fault diagnosis result at least includes a fault location and a fault type.

[0034] Specifically, the collected vehicle signals are analyzed and compared, and the abnormal information in the above data can be judged. Combined with other signals of the vehicle, it can be judged whether this abnormal information has a fault mode of the corresponding part, and then the location of the fault is determined, and the type of fault is analyzed and judged. In addition, based on big data, it is possible to analyze which signals may have potential fault hazards, make fault predictions or monitoring, and facilitate staff to take corresponding preventive measures to avoid failures.

[0035] The technical solution of this embodiment is applied to collect vehicle signals, and the vehicle signals include at least one of the following: vehicle system signals, control output signals and engine status signals, wherein the control output signals include at least vehicle control signals and output execution signals, the output execution signals are used to control the electrical components of the vehicle to execute the target action, and the vehicle control signals are used to control the control output module of the vehicle controller to generate the output execution signals; based on the vehicle signals, the vehicle fault diagnosis results are generated, and the vehicle fault diagnosis results include at least the fault location and the fault type. In view of the complex working environment of the target vehicle, by collecting vehicle signals and making fault diagnosis and monitoring based on the vehicle signals, it is possible to avoid manual inspection, maintenance and other operations on the vehicle in harsh environments, so as to save manpower and vehicle maintenance costs, ensure the safety of vehicles and labor, and have high practicality and economic benefits.

[0036] Optionally, the vehicle system signal includes at least an electronic control system signal, and the electronic control system signal includes at least one of the following: a gear lever signal, a light control signal, an engine electrical protection enable signal, a traction enable signal, and an accelerator pedal signal.

[0037] Specifically, the electronic control system is one of the important and necessary systems in modern vehicles. The vehicle system signal requires the collection of the electronic control system signal, and important parts such as the gear lever, light control, engine electrical protection enable, traction enable, accelerator pedal, etc. are all controlled by the electronic control signal mode. By collecting the electronic control signals of these important components and analyzing and diagnosing these electronic control signals, the status of these important components can be judged more intuitively, avoiding the problem of manual labor facing complex circuit systems and inefficient manual troubleshooting.

[0038] It should be noted that as vehicles are improved and evolved, the vehicle's electronic control system will control more vehicle components, making the vehicle more intelligent. The importance and complexity of the vehicle's electronic control system will continue to increase. The stability of the electronic control system will directly affect the overall safety and performance of the vehicle. By collecting, diagnosing and monitoring the overall signal of the electronic control system, vehicle faults can be discovered in a timely manner, and the vehicle can be monitored and faults predicted to avoid danger.

[0039] Optionally, the vehicle system signal includes at least a hydraulic system signal, and the hydraulic system signal includes at least one of the following: an engine start button signal, a parking release button signal, an oil pressure sensor signal, a hydraulic oil temperature sensor signal, an oil level sensor signal, and a parking brake pressure sensor signal.

[0040] Specifically, vehicle system signals also include hydraulic system signals. The hydraulic system can provide powerful power or precise control for the vehicle. The hydraulic system can transmit force and motion through hydraulic oil, and drive the hinged part to rotate through the hydraulic cylinder. The hydraulic system can also be used to control the braking system, the vibration reduction system, and the emergency operating system. By collecting signals such as the engine start button, the parking release button, the oil pressure sensor, the hydraulic oil temperature sensor, the oil level sensor, and the parking brake pressure sensor in the hydraulic system, and monitoring and diagnosing these signals, faults in the hydraulic system can be identified in a timely and accurate manner, ensuring the normal operation and operational safety of the hydraulic system, improving maintenance efficiency, and reducing operating costs.

[0041] Optionally, the vehicle system signal includes at least a safety system signal, and the safety system signal includes at least one of the following: a methane concentration signal and a carbon monoxide concentration signal.

[0042] Specifically, the vehicle system signal also includes the hydraulic system signal. Since the vehicle is in an underground construction environment, compared with ordinary vehicles, the target vehicle needs to be equipped with an additional safety system. The safety system needs to have the function of detecting toxic gases such as underground methane concentration and carbon monoxide concentration. That is, the safety system of the target vehicle needs to be equipped with additional methane or carbon monoxide concentration detectors or sensors and other components. In addition to monitoring the vehicle's operating status (vehicle speed, steering angle, load) to ensure that the vehicle moves within a safe range, the safety system must also collect environmental information to ensure the safety of underground operations. To ensure the safety of the underground working environment, avoid poisoning, explosions and other dangerous accidents to workers, and monitor the underground gas environment in real time. Once the concentration exceeds the standard, the safety system can immediately sound an alarm or cut off the power supply to prompt the staff.

[0043] Optionally, the output execution signal includes at least one of the following: a vehicle solenoid valve drive signal and a vehicle lighting control signal.

[0044] Specifically, the output execution signal is an execution signal issued by a device that executes a control instruction for the target vehicle. Based on different control instructions, the execution device generates different execution signals accordingly. The execution device includes a vehicle solenoid valve and a vehicle lighting system, etc. By collecting, analyzing and monitoring the execution signals made by the execution device, it can be ensured that the vehicle's execution actions are consistent with the driver's operations, avoiding vehicle operation errors due to signal errors and improving driving safety. For example, the vehicle driving control is confirmed by the accuracy of the solenoid valve drive signal and the lighting control signal, and the vehicle braking distance is confirmed to correspond to it through the response speed and action accuracy of the solenoid valve.

[0045] Optionally, in step S12, generating a vehicle fault diagnosis result based on the vehicle system signal includes the following steps:

[0046] Step S121: generating a simple and intuitive fault result in the vehicle fault diagnosis result based on the vehicle system signal and the engine status signal, wherein the simple and intuitive fault result at least includes a hardware damage fault, a parameter status fault and a signal transmission fault;

[0047] Specifically, simple and intuitive fault results can be identified through direct signal readings or visible changes in hardware status. Operators can draw conclusions without having to analyze complex data. Therefore, easily identifiable fault types are classified as simple and intuitive fault results. For example, hardware damage level, parameter status, and signal transmission faults are classified as simple and intuitive fault results. This can facilitate rapid determination of the fault type and specific location, saving troubleshooting time. Based on obvious faults and clear guidance to operators, operators can immediately take appropriate measures to improve efficiency.

[0048] It should be noted that simple and intuitive fault results include hardware damage faults, parameter status faults and signal transmission faults. Hardware damage faults can intuitively reflect hardware problems, such as sensor damage, solenoid valve failure, lamp system failure, and oil pump failure, which can all be judged through intuitive feeling; parameter status faults can intuitively reflect parameter problems, such as hydraulic oil temperature is too high, cooling water level is too low, and engine surface temperature is abnormal. These parameters can directly describe the vehicle status without modification; signal transmission uses CAN bus and I / O signal line. When the CAN bus or I / O signal line fails, the communication between the vehicle controller and the engine controller and other systems will be abnormal, and signals cannot be obtained or sent normally. The fault problem can be intuitively transmitted through the controller's response signal.

[0049] Those skilled in the art should understand that hardware damage failure is used to characterize vehicle failure caused by hardware damage, parameter status failure is used to characterize vehicle failure caused by hardware parameters exceeding the threshold, signal transmission failure is used to characterize vehicle failure caused by signal transmission errors, and each signal parameter is set with a threshold under normal circumstances. When the collected signal exceeds or does not reach the normal threshold, it can be determined that the vehicle has a fault.

[0050] Optionally, in step S12, generating a vehicle fault diagnosis result based on the vehicle system signal further includes the following steps:

[0051] Step S122: Based on the vehicle system signal, engine status signal and control output signal, generate complex fuzzy fault results in the vehicle fault diagnosis results, and the complex fuzzy fault results at least include operation logic faults. Operation logic faults are used to characterize vehicle faults caused by vehicle control logic errors.

[0052] Specifically, complex fuzzy fault results need to be obtained through signal collection and analysis. They can go deep into the internal state of the vehicle system, identify more abstract and important fault types, and provide feedback on vehicle fault types that are not easy to intuitively find in harsh environments, such as control logic confusion, communication protocol abnormalities, system interaction failures, unexpected system behaviors, operation feedback errors and other faults. The miscellaneous fuzzy fault results provide feedback on the above fault results, allowing staff to further analyze the data, determine the fault problems and take countermeasures to the problems. At the same time, the miscellaneous fuzzy fault results are based on big data analysis and intelligent functions through comparison with the database, which can also provide staff with normative guidance and fault prediction, reducing the workload of staff.

[0053] It should be noted that complex and fuzzy faults also have the characteristic of hysteresis. Such faults often do not immediately cause the vehicle to be unable to operate, but they will reduce system performance and affect system efficiency. If such faults exist for a long time, it may lead to more serious hardware damage or safety accidents. At the same time, complex and fuzzy faults are usually related to improper operation or unexpected operation. Therefore, in addition to displaying the faults, the diagnostic results can also provide guidance for operators, guide operators to operate correctly, avoid operators causing faults again due to improper operation, and enable staff to take correct countermeasures to deal with the faults.

[0054] Optionally, in step S12, generating a vehicle fault diagnosis result based on the vehicle system signal further includes the following steps:

[0055] Step S123: obtaining a fault prediction model;

[0056] Specifically, the fault prediction model has the function of storing and recording data. At the same time, the fault prediction model can compare and analyze the acquired vehicle data signals according to the database stored in itself, and can make a judgment on the status of the vehicle.

[0057] Step S124: Based on the vehicle signal and the fault prediction model, a predicted fault result in the vehicle fault diagnosis result is generated, and the predicted fault result is used to characterize the fault occurrence trend of the vehicle.

[0058] Specifically, the fault prediction model analyzes the collected vehicle signals, combines its own stored database with a large amount of historical operating data collected, and by analyzing the patterns and trends corresponding to these data, it can predict possible future failures of the target vehicle, such as the vehicle's operating parameters, maintenance records, and fault frequency information. In addition, the fault prediction model can extract the maintenance settings made by previous operators on the target vehicle, establish a model for the pending fault mode, analyze the causes of the fault, the precursors to the fault, and the solutions to be provided. It uses advanced data analysis methods to train the mobile phone data to identify various complex fault signals, monitor the target vehicle's operating status in real time, compare it with the threshold, and issue early warnings for vehicle faults.

[0059] In this embodiment, the fault prediction model can identify the precursors of a fault and issue a warning in time, allowing operators to take timely countermeasures. The fault prediction model can predict possible faults, and the system itself can also intelligently establish a maintenance plan to remind staff to perform maintenance. By setting a fault model, the probability of failure can be reduced, the staff's operations can be optimized, and more scientific equipment management and scheduling strategies can be formulated and provided for the staff to improve operational efficiency.

[0060] According to another specific embodiment of the present application, a fault diagnosis and monitoring system is also provided. Figure 3 As shown, it includes: a signal acquisition module, which collects vehicle signals, and the vehicle signals include at least one of the following: vehicle system signals, control output signals and engine status signals, wherein the control output signals include at least vehicle control signals and output execution signals, and the output execution signals are used to control the electrical components of the vehicle to execute target actions, and the vehicle control signals are used to control the control output module of the vehicle controller to generate output execution signals; a fault diagnosis module, which is used to generate vehicle fault diagnosis results based on the vehicle signals, and the vehicle fault diagnosis results include at least the fault location and the fault type.

[0061] By applying the technical solution of this embodiment, the signal acquisition module collects vehicle signals in real time for fault diagnosis and monitoring. By inputting the collected signals into the fault diagnosis module, the fault diagnosis module makes a comprehensive judgment and locates the fault in real time based on the processed data signal combined with the normal logic judgment of the vehicle, and performs data storage and prediction of potential faults. The fault diagnosis and monitoring system can monitor the vehicle status in real time, diagnose faults quickly and accurately, and can be applied to real-time monitoring and remote diagnosis of vehicles, improve the processing efficiency of operators, and reduce vehicle maintenance costs.

[0062] Specifically, the fault diagnosis and monitoring system also includes: a signal processing module, which is used to process the signals of the vehicle system, and the signal processing includes at least one of the following: interference removal, analysis, transformation, and calculation processing; a display module, which is used to generate fault display information based on the fault diagnosis results of the vehicle, and the fault display information includes at least fault location information and fault type information. The signal processing module can eliminate signal interference, improve signal quality, ensure signal stability in complex working environments such as underground, and ensure the accuracy of fault diagnosis. The display module can intuitively present fault information to drivers and maintenance personnel, so that maintenance personnel can quickly understand the vehicle status and take corresponding treatment measures to achieve more intelligent functions.

[0063] The present application also provides a preferred embodiment of a fault diagnosis and monitoring method and system, which is implemented by application on a WC40KH battery quick-change vehicle.

[0064] Specifically, Figure 2 As shown, the fault diagnosis and monitoring system includes a vehicle signal acquisition module, a signal processing module, and a diagnosis module; the fault diagnosis and monitoring method includes the following steps:

[0065] Step 1: Signal input of the fault diagnosis model through the vehicle signal acquisition module;

[0066] The controller I / O port is used to collect original signals related to the electronic control, hydraulic and overall subsystems. The electronic control system mainly collects gear handle signals, light control signals, engine electrical protection enable signals, traction enable signals, and accelerator pedal signals. The hydraulic system mainly collects engine start button, release parking button, oil pressure sensor signal, hydraulic oil temperature sensor signal, oil level sensor signal, parking brake pressure sensor signal. The subsystem mainly collects methane and carbon monoxide concentration signals, etc.

[0067] Step 2: Process the original signal through the signal processing module to obtain the processed signal;

[0068] Step 3: Use the vehicle control algorithm to perform logic diagnosis on the processed signal according to the execution result and make a fault judgment;

[0069] Step 4: Perform fault diagnosis and monitoring on the wire-controlled electrical components controlled by the I / O output port;

[0070] Mainly include: solenoid valve type, diagnose the on-off state of the valve block and control line fault according to the driving current of the solenoid valve; lighting control type, the I / O output port has a strong driving capability, the maximum current can reach 4A, so the vehicle lights are directly driven by the vehicle controller, and related faults can be diagnosed by detecting the output current and lighting control logic.

[0071] Step 5: Get the fault code through the CAN bus;

[0072] It is mainly due to engine system failure. As the energy supply component for vehicle traction, the engine system is equipped with an independent controller control port. The engine sensor status information is transmitted to the vehicle controller through the CAN bus.

[0073] Step 6: Establish a fault diagnosis model. After inputting the signals required for various fault diagnosis, the model manages the faults in layers according to the difficulty of establishing the fault diagnosis model, such as Figure 4 and Figure 5 As shown, faults are mainly divided into three layers;

[0074] Simple and intuitive faults: can be intuitively diagnosed and monitored through signals, including: sensor faults. By detecting the original signal of the sensor, it is possible to diagnose whether the sensor or line has an open circuit fault. The sensor output generally uses 4-20mA current or 0.5V-10V voltage signal. When the original signal collected by the I / O port exceeds this range, the short circuit and open circuit fault of the sensor device or the connecting line can be diagnosed; operating switch button faults. The switch button is a frequently operated and used device and a consumable item with a relatively high probability of failure. Therefore, a switch fault diagnosis module is specially added to the fault diagnosis. There is a switch button status display area on the display screen. Under normal circumstances, when the vehicle operator or maintenance personnel operate each button, the corresponding switch button status indicator light will be lit. If a fault occurs, it will not be lit; parameter status faults. The parameter status refers to the threshold judgment of the signal after the sensor is calibrated. According to the threshold, it can be judged whether the vehicle status is faulty; CAN bus transmission faults are mainly electric drive system faults. This type of fault is completely diagnosed by the electric drive system controller, and the vehicle controller only needs to receive the fault code.

[0075] Complex fuzzy faults: During the operation of the vehicle, there is no fault in the parameter status of the system itself, but the operating logic is confused and unexpected actions occur, causing the vehicle to fail to work normally. This type of fault can only be diagnosed after comparing the predetermined control logic of the vehicle with the control logic of the actual operation. This type of fault belongs to the operation logic failure. When the operation logic is normal, the fault will be eliminated, but the fault diagnosis and monitoring system is required to promptly and clearly prompt the operator of the operation error and provide the correct operation method. This type of fault model needs to reserve an expansion interface. With the optimization of the vehicle control logic, the fault diagnosis will be more accurate.

[0076] Predicted faults: Predicted faults refer to faults that have not occurred at present, but the trend of faults is calculated based on the expert big database prediction model and a warning alarm is issued.

[0077] Step 7: Output fault diagnosis model and fault diagnosis results.

[0078] It can be seen from the above description that the fault diagnosis and monitoring method and system of this embodiment have the following beneficial effects:

[0079] 1) Through the fault diagnosis system, hierarchical management of fault location can be achieved. The fault diagnosis system performs networked hierarchical management of all faults to ensure the efficiency of fault identification.

[0080] 2) Comprehensive effectiveness of fault diagnosis. Vehicle faults are divided into simple and intuitive faults and complex and fuzzy faults. Simple and intuitive faults can be directly judged by the original sensor signals or processed signals, while complex and fuzzy faults require the whole vehicle operation logic judgment to be performed on the basis of correct judgment signals. The expert library big data model is added to systematically improve the fault diagnosis model to achieve the completeness of fault judgment.

[0081] 3) Improve the intelligent control level of the whole vehicle. The fault diagnosis system provides accurate fault information, and the vehicle controller implements fault protection strategy to improve the intelligent control level of the whole vehicle.

[0082] 4) Improve vehicle maintenance efficiency. Due to the inconvenience of underground communication and contact with the outside world, and the special customization of battery quick-swap vehicles, they generally need to be completed under the guidance of external professional technicians. This brings great difficulties to vehicle maintenance. The application of fault diagnosis and monitoring systems provides maintenance personnel with direct fault prompts, greatly improving the accuracy and convenience of vehicle maintenance.

[0083] 5) Improve the safety of vehicle operation. If any abnormal situation occurs during the operation of the vehicle, the fault detection system will display the fault code and simple fault handling methods, which is convenient for operators to handle in time and greatly improve safety performance.

[0084] 6) The fault diagnosis and monitoring system is very practical and can be applied to other intelligent equipment under the same working conditions.

[0085] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" can include both "above" and "below". The device can also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatially relative descriptions used here are interpreted accordingly.

[0086] In addition to the above, it should be noted that "one embodiment", "another embodiment", "embodiment", etc. mentioned in this specification refer to the specific features, structures or characteristics described in conjunction with the embodiment included in at least one embodiment generally described in this application. The same expression appearing in multiple places in the specification does not necessarily refer to the same embodiment. Further, when describing a specific feature, structure or characteristic in conjunction with any embodiment, it is claimed that the realization of such feature, structure or characteristic in conjunction with other embodiments also falls within the scope of the present invention.

[0087] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0088] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A fault diagnosis and monitoring method, characterized in that: The method comprises the following steps: Collect vehicle signals, wherein the vehicle signals include at least one of the following: vehicle system signals, control output signals, and engine status signals, wherein the control output signals include at least vehicle control signals and output execution signals, the output execution signals are used to control the vehicle electrical components to execute target actions, and the vehicle control signals are used to control the control output module of the vehicle controller to generate the output execution signals; Based on the whole vehicle signal, a whole vehicle fault diagnosis result is generated, and the whole vehicle fault diagnosis result at least includes a fault location and a fault type.

2. The fault diagnosis and monitoring method according to claim 1, characterized in that: The vehicle system signal at least includes an electronic control system signal, and the electronic control system signal includes at least one of the following: a gear lever signal, a light control signal, an engine electric protection enable signal, a traction enable signal, and an accelerator pedal signal.

3. The fault diagnosis and monitoring method according to claim 1, characterized in that: The vehicle system signal includes at least a hydraulic system signal, and the hydraulic system signal includes at least one of the following: an engine start button signal, a parking release button signal, an oil pressure sensor signal, a hydraulic oil temperature sensor signal, an oil level sensor signal, and a parking brake pressure sensor signal.

4. The fault diagnosis and monitoring method according to claim 1, characterized in that: The vehicle system signal at least includes a safety system signal, and the safety system signal at least includes one of the following: a methane concentration signal and a carbon monoxide concentration signal.

5. The fault diagnosis and monitoring method according to claim 1, characterized in that: The output execution signal includes at least one of the following: a vehicle solenoid valve drive signal and a vehicle light control signal.

6. The fault diagnosis and monitoring method according to any one of claims 1 to 5, characterized in that: Generating the vehicle fault diagnosis result based on the vehicle system signal includes the following steps: Based on the vehicle system signal and the engine status signal, a simple and intuitive fault result in the vehicle fault diagnosis result is generated, wherein the simple and intuitive fault result at least includes a hardware damage fault, a parameter status fault and a signal transmission fault; Among them, the hardware damage fault is used to characterize vehicle faults caused by hardware damage, the parameter status fault is used to characterize vehicle faults caused by hardware parameters exceeding a threshold, and the signal transmission fault is used to characterize vehicle faults caused by signal transmission errors.

7. The fault diagnosis and monitoring method according to claim 6, characterized in that: Generating the vehicle fault diagnosis result based on the vehicle system signal also includes the following steps: Based on the vehicle system signal, the engine status signal and the control output signal, a complex fuzzy fault result in the vehicle fault diagnosis result is generated, and the complex fuzzy fault result at least includes an operation logic fault, and the operation logic fault is used to characterize the vehicle fault caused by the vehicle control logic error.

8. The fault diagnosis and monitoring method according to claim 6, characterized in that: Generating the vehicle fault diagnosis result based on the vehicle system signal also includes the following steps: Obtaining a fault prediction model; Based on the whole vehicle signal and the fault prediction model, a predicted fault result in the whole vehicle fault diagnosis result is generated, and the predicted fault result is used to characterize the fault occurrence trend of the vehicle.

9. A fault diagnosis and monitoring system, characterized in that: include: A signal acquisition module, which collects vehicle signals, wherein the vehicle signals include at least one of the following: vehicle system signals, control output signals, and engine status signals, wherein the control output signals include at least vehicle control signals and output execution signals, wherein the output execution signals are used to control the vehicle electrical components to execute target actions, and the vehicle control signals are used to control the control output module of the vehicle controller to generate the output execution signals; A fault diagnosis module is used to generate a whole vehicle fault diagnosis result based on the whole vehicle signal, and the whole vehicle fault diagnosis result at least includes a fault location and a fault type.

10. The fault diagnosis and monitoring system according to claim 9, characterized in that: The fault diagnosis and monitoring system also includes: A signal processing module, the signal processing module is used to perform signal processing on the vehicle system signal, the signal processing includes at least one of the following: interference removal, analysis, transformation, and calculation processing; The display module is used to generate fault display information based on the vehicle fault diagnosis result, and the fault display information at least includes fault location information and fault type information.

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