Diesel engine state monitoring method, device and system and vehicle

Abstract

The invention relates to the technical field of diesel engines, in particular to a diesel engine state monitoring method, device and system and a vehicle. The method comprises the steps of obtaining current operation condition parameters of a target vehicle, determining a state feature reference value matched with the current operation condition parameters based on a target matching rule, comparing a state feature actual value of the target vehicle with the state feature reference value, and monitoring the health state of an engine according to a comparison result. By adopting the method, the engine system state reference under the current operation condition parameters can be quickly determined through the target matching rule and is compared with the actual state of the engine, so that the engine system state monitoring effect is achieved, the health state of the engine system can be mastered in time, and the product reliability is improved.

Description

Technical Field

[0001] The present application relates to the technical field of diesel engines, and in particular to a diesel engine status monitoring method, device, system and vehicle. Background Art

[0002] From the perspective of the diesel engine's principles, fuel saving and reducing pollutant emissions are the main contradictions faced by diesel engines. Under the condition that the system hardware and control software remain unchanged, reducing fuel consumption will cause an increase in nitrogen oxide (NOx) emissions, while reducing NOx emissions usually comes at the expense of fuel consumption. In order to resolve this contradictory relationship, more complex components are usually installed, such as variable superchargers, exhaust gas recirculation systems, two-stage selective catalytic reduction (SCR) after-treatment, intake throttle valves, exhaust throttle valves, exhaust gas recirculation (EGR) valves, etc., and more complex control logic software is used to balance the contradictory relationship between fuel consumption and emissions.

[0003] However, the more complex hardware and software systems make it more difficult to ensure system reliability. For reliability, we need to pay attention not only to the failure of mechanical parts, but also to performance degradation issues such as abnormal fuel consumption, excessive emissions, abnormal jitter, etc. Therefore, it is urgent to develop a method and system for real-time monitoring of diesel engine status, which can timely grasp the health status of the engine system and improve product reliability. Summary of the invention

[0004] Based on this, it is necessary to provide a diesel engine status monitoring method, device, system and vehicle to address the above technical problems, so as to timely grasp the health status of the engine system and improve product reliability.

[0005] In a first aspect, the present application provides a method for monitoring the state of a diesel engine. The method comprises:

[0006] Obtain the current operating condition parameters of the target vehicle;

[0007] Based on the target matching rule, determining a state characteristic reference value matching the current operating condition parameter; the state characteristic reference value is used to indicate a characteristic parameter theoretical value characterizing the engine state when the target vehicle engine is in a normal state; the target matching rule includes a mapping relationship between the operating condition and the state characteristic value;

[0008] The actual value of the state characteristic of the target vehicle is compared with the reference value of the state characteristic, and the engine health state is monitored according to the comparison result.

[0009] In one embodiment, the target matching rule includes a trained engine baseline model; the engine baseline model is trained by the following process:

[0010] Acquire sample operating condition parameters of the target vehicle and state feature label values ​​of the target vehicle under the sample operating condition parameters; the state feature label values ​​are used to characterize actual values ​​of state features of the target vehicle under the sample operating condition parameters when the engine of the target vehicle is in a normal state;

[0011] Using the engine baseline model to perform state prediction on the sample operating condition parameters to obtain prediction results;

[0012] Parameters of the engine baseline model are optimized according to the prediction results and the state feature label values.

[0013] In one embodiment, the obtaining of the sample operating condition parameters of the target vehicle and the state feature label value of the target vehicle under the sample operating condition parameters includes:

[0014] In response to an engine start operation for the target vehicle, detecting a mileage of the target vehicle;

[0015] In the case where the mileage is less than a preset mileage limit, determining that the engine of the target vehicle is in a normal state;

[0016] When the engine of the target vehicle is in a normal state, the sample operating condition parameters and the state feature label value are obtained.

[0017] In one embodiment, when the mileage is less than a preset mileage limit, determining that the engine of the target vehicle is in a normal state includes:

[0018] In the case where the mileage is less than a preset mileage limit, detecting whether the operating condition of the target vehicle meets the normal operating requirements;

[0019] In the case that the operating condition of the target vehicle meets the normal operating requirements, it is determined that the target vehicle is in a normal state.

[0020] In one embodiment, the step of obtaining the current operating condition parameters of the target vehicle includes:

[0021] In response to an engine start operation for the target vehicle, detecting a mileage of the target vehicle;

[0022] When the mileage is greater than or equal to the preset mileage limit, the current operating condition parameters of the target vehicle are obtained.

[0023] In one embodiment, monitoring the health status of the diesel engine according to the comparison result includes:

[0024] When the deviation between the actual value of the state characteristic of the target vehicle and the reference value of the state characteristic is greater than a preset deviation threshold, it is determined that the engine of the target vehicle is in an unhealthy working state.

[0025] In one embodiment, the method further comprises:

[0026] When the deviation between the actual value of the state characteristic of the target vehicle and the reference value of the state characteristic is less than or equal to a preset deviation threshold, it is determined that the engine of the target vehicle is in a healthy working state.

[0027] In a second aspect, the present application also provides a diesel engine state monitoring device. The device comprises:

[0028] An acquisition module is used to obtain the current operating condition parameters of the target vehicle;

[0029] A determination module, for determining a state characteristic reference value matching the current operating condition parameter based on a target matching rule; the state characteristic reference value is used to indicate a characteristic parameter theoretical value characterizing an engine state when the target vehicle engine is in a normal state; the target matching rule includes a mapping relationship between an operating condition and a state characteristic value;

[0030] The monitoring module is used to compare the actual value of the state characteristic of the target vehicle with the reference value of the state characteristic, and monitor the engine health status according to the comparison result.

[0031] In a third aspect, the present application also provides a diesel engine status monitoring system. The system comprises:

[0032] Diesel engines;

[0033] An engine controller, connected to the diesel engine, for obtaining operating condition parameters of the target vehicle and state characteristic values ​​of the diesel engine;

[0034] A state monitor is connected to the engine controller, and is used to receive operating condition parameters and state characteristic values ​​sent from the engine controller, and execute the steps of the method provided in the first aspect of the present application.

[0035] In a fourth aspect, the present application further provides a vehicle, which includes the diesel engine state monitoring system provided in the third aspect of the present application.

[0036] In a fifth aspect, the present application further provides a vehicle. The vehicle stores a computer program, and when the computer program is executed by a processor, the steps of the method provided in the first aspect of the present application are implemented.

[0037] The above diesel engine state monitoring method, device, system and vehicle obtain the current operating condition parameters of the target vehicle, determine the state characteristic reference value that matches the current operating condition parameters based on the target matching rule, compare the actual value of the state characteristic of the target vehicle with the state characteristic reference value, and monitor the engine health status according to the comparison result. The present application can quickly determine the engine system state reference under the current operating condition parameters through the target matching rule, and compare it with the actual state of the engine, thereby playing the role of engine system state monitoring, being able to timely grasp the health status of the engine system and improve product reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] FIG1 is a block diagram of a diesel engine state monitoring system according to an embodiment;

[0039] FIG2 is a schematic diagram of a process flow of a diesel engine state monitoring method in one embodiment;

[0040] FIG3 is a schematic flow chart of engine baseline model training steps in one embodiment;

[0041] FIG4 is a schematic flow chart of a method for monitoring a diesel engine state in another embodiment;

[0042] FIG5 is a schematic flow chart of a method for monitoring a diesel engine state in another embodiment;

[0043] FIG6 is a schematic diagram of a flow chart of subsystem baseline model threshold comparison in another embodiment;

[0044] FIG. 7 is a structural block diagram of a diesel engine state monitoring device in one embodiment. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0046] As environmental protection requirements increase, the focus on vehicle environmental performance is also increasing. The particularity of commercial vehicles is that as a means of production, their engine fuel consumption directly affects user benefits, so commercial vehicle diesel engines must not only meet pollutant emission requirements, but also be market competitive in terms of fuel saving. Faced with the contradictory relationship between diesel engine fuel saving and emission control, manufacturers are forced to seek a balance in design, such as adding more complex components and matching them with more complex control logic software.

[0047] Adding more complex software and hardware systems will increase product costs and reduce product competitiveness on the one hand, and it will also be more difficult to ensure system reliability on the other hand. For reliability, we need to pay attention not only to the failure of mechanical parts, but also to performance degradation issues such as abnormally increased fuel consumption, excessive emissions, and abnormal jitter. At the same time, with the diversification of market products, users' acceptance of reduced reliability is relatively stricter. Therefore, developing a method and system for real-time monitoring of diesel engine status can timely grasp the health status of various engine systems, which has a significant contribution to improving product reliability.

[0048] In order to timely grasp the health status of each engine system and improve product reliability, the embodiment of the present application provides a diesel engine state monitoring system, as shown in Figure 1, the system may include an engine controller 1, a diesel engine 2 and a state monitor 4, wherein the engine controller 1 is connected to the CAN bus 5 and the diesel engine 2, and the state monitor 4 is connected to the CAN bus 5. The engine controller 1 is used to receive the user's operation instructions and send control instructions to the diesel engine 2 to achieve the control target. The diesel engine 2 is used to provide power for the vehicle and ensure that the pollutant emissions meet the requirements while providing power output for the vehicle. The state monitor 4 is used to undertake signal reception and transmission, engine state monitoring, and internal program storage and calculation. The state monitor 4 can calculate the reference state characteristic value of the vehicle engine in a normal state when the current operating condition parameters are, and compare the reference state characteristic value with the actual characteristic state value, thereby monitoring the health status of the engine.

[0049] In one embodiment, as shown in FIG. 2 , a diesel engine state monitoring method is provided, which is described by taking the method applied to the state monitor 4 in FIG. 1 as an example, and includes the following steps:

[0050] Step 202, obtaining the current operating condition parameters of the target vehicle.

[0051] Among them, the target vehicle may refer to a vehicle equipped with a diesel engine and a status monitor. The embodiment of the present application realizes health monitoring of the diesel engine of the vehicle by adding a status monitor to the target vehicle without affecting the overall electronic and electrical architecture of the target vehicle.

[0052] Exemplarily, the state monitor obtains the current operating condition parameters of the target vehicle through the CAN bus, and the current operating condition parameters may include parameter information such as the current vehicle speed, engine speed, throttle opening, atmospheric temperature and atmospheric pressure of the target vehicle.

[0053] Step 204: Determine a state characteristic reference value that matches the current operating condition parameters based on the target matching rule.

[0054] The state characteristic reference value is used to indicate the theoretical value of the characteristic parameter representing the state of the engine when the target vehicle engine is in a normal state.

[0055] The state characteristics of the embodiments of the present application refer to characteristic parameters used to characterize the engine state. As an example, the state characteristics may include cycle fuel consumption, high-pressure common rail pressure, cycle urea consumption, intake volume, intake pressure, engine outlet temperature, after-treatment temperature, after-treatment outlet temperature, engine outlet NOx and after-treatment outlet NOx, etc. Each state characteristic may represent an engine subsystem with specific functions. For example, the engine outlet NOx may represent the combustion state of the engine cylinder.

[0056] The embodiment of the present application can pre-acquire the state characteristic values ​​corresponding to different operating conditions when the engine is in a normal and healthy state as the state characteristic reference value, that is, the baseline value when the engine is in a normal state, and determine the target matching rule according to the mapping relationship between each operating condition and the state characteristic reference value. The state monitor of the embodiment of the present application can pre-store the target matching rule, and after acquiring the current operating condition parameters, the state monitor determines the state characteristic reference value corresponding to the current operating condition parameters based on the target matching rule.

[0057] Exemplarily, the state monitor obtains the current operating condition parameters of the target vehicle, and based on the pre-stored target matching rules, determines the state characteristic values ​​of the target vehicle under the current operating condition parameters when the engine is in a normal state, and uses them as the state characteristic reference values ​​that match the current operating condition parameters. The state characteristic reference values ​​may include a cycle fuel consumption reference value, a high-pressure common rail pressure reference value, a cycle urea consumption reference value, an intake volume reference value, an intake pressure reference value, an engine outlet temperature reference value, a post-treatment temperature reference value, a post-treatment outlet temperature reference value, an engine outlet NOx reference value, and a post-treatment outlet NOx reference value.

[0058] Step 206 , comparing the actual value of the state characteristic of the target vehicle with the reference value of the state characteristic, and monitoring the engine health status according to the comparison result.

[0059] The state monitor of the embodiment of the present application obtains the actual value of the state characteristics of the engine of the target vehicle under the current operating conditions, compares the actual value of the state characteristics of the engine with the reference value of the state characteristics of the engine, and monitors the engine health status based on the comparison result.

[0060] For example, the state monitor obtains the actual value of the engine's cycle fuel consumption, the actual value of the high-pressure common rail pressure, the actual value of the cycle urea consumption, the actual value of the intake volume, the actual value of the intake pressure, the actual value of the engine outlet temperature, the actual value of the post-treatment temperature, the actual value of the post-treatment outlet temperature, the actual value of the engine outlet NOx, and the actual value of the post-treatment outlet NOx of the target vehicle through the CAN bus, and compares the actual value of each of the above state characteristics with the corresponding reference value, and the health state of each engine subsystem can be determined according to the comparison result. For example, the health state of the engine cylinder combustion subsystem can be monitored according to the comparison result of the engine outlet NOx actual value and the engine outlet NOx reference value.

[0061] In the above diesel engine state monitoring, by obtaining the current operating condition parameters of the target vehicle, based on the target matching rules, the state characteristic reference value matching the current operating condition parameters is determined, the actual value of the state characteristic of the target vehicle is compared with the state characteristic reference value, and the engine health state is monitored according to the comparison result. The embodiment of the present application can quickly determine the engine system state reference under the current operating condition parameters through the target matching rules, and compare it with the actual state of the engine, thereby playing the role of engine system state monitoring, being able to timely grasp the health state of the engine system, and improving product reliability.

[0062] Based on the embodiment shown in FIG. 2 , the target matching rule includes a trained engine baseline model, as shown in FIG. 3 , and the engine baseline model is trained by the following process:

[0063] Step 302: Obtain sample operating condition parameters of the target vehicle and state feature label values ​​of the target vehicle under the sample operating condition parameters.

[0064] Among them, the sample operating condition parameters are used to characterize the operating condition parameters of the target vehicle when the engine is in a normal state, that is, the operating condition parameters of the target vehicle when the engine is in a normal state are used as training samples, and the actual value of the state characteristics of the engine under the sample operating condition parameters, that is, the state characteristic label value, is used as the label corresponding to the training sample.

[0065] Step 304: Use the engine baseline model to perform state prediction on the sample operating condition parameters to obtain prediction results.

[0066] Step 306 , optimizing the parameters of the engine baseline model according to the prediction results and the state feature label values.

[0067] The target matching rules of the embodiment of the present application include a trained engine baseline model. The state monitor may be pre-installed with an initial engine baseline model. During the actual operation of the target vehicle, the state monitor may obtain sample operating condition parameters and state feature label values ​​of the target vehicle and use them as training data to train the initial engine baseline model, thereby obtaining a trained engine baseline model.

[0068] In each iterative training process, the engine baseline model is used to perform state prediction on the sample operating condition parameters to obtain the prediction results. According to the prediction results and the state feature label values, the engine baseline model parameters are optimized.

[0069] In this embodiment, the engine baseline model is trained by using sample operating condition parameters and state feature label values ​​of the target vehicle when the engine is in a normal state, so that the trained engine baseline model can output state feature reference values ​​of the engine under different operating conditions in real time.

[0070] As an example, the present application is described in detail below in combination with the engine baseline model training phase and the state characteristic reference value determination phase of the trained engine baseline model.

[0071] In one embodiment, the present application also provides a diesel engine state monitoring method, as shown in FIG4 , the method includes:

[0072] Step 402 , in response to an engine start operation for a target vehicle, detecting the mileage of the target vehicle.

[0073] Step 404: When the mileage is less than the preset mileage limit, determine that the engine of the target vehicle is in a normal state.

[0074] For example, when an engine is newly produced and has been running for a certain mileage, it can be considered that the engine is in normal condition and the overall performance level is at the median stage of the product's entire life cycle. During this mileage, data training is performed on the engine baseline model built into the condition monitor.

[0075] In a preferred embodiment, when the mileage is less than the preset mileage limit, it is detected whether the operating conditions of the target vehicle meet the normal operating requirements; when the operating conditions of the target vehicle meet the normal operating requirements, it is determined that the target vehicle is in a normal state. Before using the operating information of the target vehicle as a training data set for the baseline model, the embodiment of the present application determines whether the diesel engine meets other working conditions such as coolant temperature and post-processing temperature, and whether they are in a normal state. If the operating conditions meet the requirements, the baseline model can be trained at this time.

[0076] Step 406, when the engine of the target vehicle is in a normal state, obtain sample operating condition parameters and state feature label values.

[0077] When the engine of the target vehicle is in a normal state, sample operating condition parameters and state feature label values ​​of the vehicle are obtained as training data to train the engine baseline model.

[0078] Exemplarily, when the engine of the target vehicle is in a normal state, the state monitor obtains the target vehicle's vehicle speed, engine speed, throttle opening, atmospheric temperature, pressure and other information as sample operating condition parameters, and obtains 10 characteristic parameters including cycle fuel consumption, high-pressure common rail pressure, cycle urea consumption, intake volume, intake pressure, engine outlet temperature, post-treatment temperature, post-treatment outlet temperature, engine outlet NOx value, and post-treatment outlet NOx value under these sample operating condition parameters as state feature label values ​​to obtain training data.

[0079] Step 408 , training the engine baseline model according to the sample operating condition parameters and state feature label values ​​to obtain a trained engine baseline model.

[0080] Exemplarily, the state monitor has an initial engine baseline model built in, which is constructed using the LSTM long short-term neural network algorithm. In the embodiment of the present application, when the mileage of the target vehicle is less than the preset mileage limit, multiple groups of sample operating condition parameters and state feature label values ​​can be used to iteratively train the engine baseline model. During each iterative training process, the vehicle speed, engine speed, throttle opening, atmospheric temperature, atmospheric pressure and other sample operating condition parameters are input into the engine baseline model for state prediction, and the prediction results corresponding to 10 state characteristics of cycle fuel consumption, high-pressure common rail pressure, cycle urea consumption, intake volume, intake pressure, engine outlet temperature, post-treatment temperature, post-treatment outlet temperature, engine outlet NOx value, and post-treatment outlet NOx value are obtained. According to the prediction results and the state feature label values ​​of the 10 state characteristics, the engine baseline model is optimized.

[0081] Step 410: When the mileage is greater than or equal to the preset mileage limit, determine that the engine of the target vehicle is in a monitoring state.

[0082] Wherein, when the mileage of the target vehicle is greater than or equal to the preset mileage limit, it is determined that the target vehicle is in the monitoring stage, and the state monitor is used to monitor the engine state of the target vehicle in real time.

[0083] Step 412, when the engine of the target vehicle is in a monitoring state, obtain the current operating condition parameters of the target vehicle.

[0084] It can be understood that the status monitor receives the current operating condition parameters of the target vehicle in the CAN bus information. Corresponding to the training, the current operating condition parameters may include parameter information such as the current vehicle speed, engine speed, throttle opening, atmospheric temperature and atmospheric pressure of the target vehicle.

[0085] Step 414, input the current operating condition parameters of the target vehicle into the trained engine baseline model, and output the state feature reference value matching the current operating condition parameters.

[0086] For example, after completing the model training within the preset mileage limit, the trained engine baseline model can output the normal theoretical values ​​of the above 10 state characteristics under different operating conditions when the engine is in normal condition. The state monitor receives the current vehicle speed, engine speed, throttle opening, atmospheric temperature and atmospheric pressure as model inputs, and outputs the state characteristic reference values ​​of the above 10 state characteristics.

[0087] Step 416, obtaining the actual value of the state characteristic of the engine of the target vehicle under the current operating condition parameters, comparing the actual value of the state characteristic with the reference value of the state characteristic, and monitoring the engine health status according to the comparison result.

[0088] Exemplarily, the state monitor receives the actual values ​​of the state characteristics of the engine of the target vehicle under the current operating parameters in the CAN bus information, calculates the actual values ​​of the above 10 state characteristics, compares the actual values ​​of the state characteristics with the state characteristic reference values, and determines whether the engine is in a normal state.

[0089] Step 418, when the deviation between the actual value of the state characteristic of the target vehicle and the reference value of the state characteristic is greater than a preset deviation threshold, it is determined that the engine of the target vehicle is in an unhealthy working state.

[0090] Among them, there can be one or more state characteristics. Since each state characteristic can represent an engine subsystem with a specific function, for each state characteristic, the actual state characteristic value of the state characteristic is compared with the state characteristic reference value. If the difference between the actual state characteristic value of the state characteristic and the state characteristic reference value is greater than the preset deviation threshold corresponding to the state characteristic, it is determined that the engine subsystem corresponding to the state characteristic is in an unhealthy working state.

[0091] Exemplarily, the actual values ​​of the 10 state characteristics of the above engine are compared with the corresponding state characteristic reference values ​​respectively. For example, if the difference between the actual fuel consumption value and the fuel consumption reference value is greater than 10% of the fuel consumption reference value, it is judged that the engine subsystem corresponding to the fuel consumption is in an unhealthy working state; if the difference between the actual engine outlet NOx value and the engine outlet NOx reference value is greater than 5% of the engine outlet NOx reference value, it is judged that the engine subsystem corresponding to the engine outlet NOx is in an unhealthy working state.

[0092] The diesel engine status monitoring system of the embodiment of the present application may also include a Tbox data acquisition and transmission box 3, which receives ECU information via the CAN bus and sends information to the cloud via the 4G system. If the deviation value exceeds the threshold, the status monitor may generate an alarm signal and transmit it to the Tbox data acquisition and transmission box 3 via the CAN bus, and the Tbox data acquisition and transmission box 3 transmits it to the cloud system via the 4G network for further processing.

[0093] Step 420, when the deviation between the actual value of the state characteristic of the target vehicle and the reference value of the state characteristic is less than or equal to a preset deviation threshold, it is determined that the engine of the target vehicle is in a healthy working state.

[0094] Among them, if the difference between the actual value of the state feature of the state feature and the reference value of the state feature is less than or equal to the preset deviation threshold corresponding to the state feature, it is determined that the engine subsystem corresponding to the state feature is in a healthy working state.

[0095] Exemplarily, if the difference between the actual fuel consumption value and the fuel consumption reference value is less than or equal to 10% of the fuel consumption reference value, it is judged that the engine subsystem corresponding to the fuel consumption is in a healthy working state; if the difference between the actual engine outlet NOx value and the engine outlet NOx reference value is less than or equal to 5% of the engine outlet NOx reference value, it is judged that the engine subsystem corresponding to the engine outlet NOx is in a healthy working state.

[0096] The present application will be further described below in conjunction with the diesel engine status monitoring system of the embodiment of the present application.

[0097] In one embodiment, please refer to Figures 1, 5 and 6, the diesel engine state monitoring system provided in the embodiment of the present application includes an engine controller 1, a diesel engine 2, a Tbox data acquisition and transmission box 3, a state monitor 4 and a CAN bus 5. The diesel engine 2 may include a post-processing system 21, a fuel supply system 22, a cooling and lubrication system 23 and a sensor system 24, and the state monitor 4 may include a CAN first-start system 41, a CAN parsing system 42, a storage unit 43, and a central processing unit 44.

[0098] The engine controller 1 of the embodiment of the present application can transmit specific parameter quantities to the outside through the CAN bus 5, including vehicle speed, engine speed, throttle opening, atmospheric temperature, atmospheric pressure, fuel consumption, high-pressure common rail pressure, circulating urea consumption, intake volume, intake pressure, engine outlet temperature, post-treatment temperature, post-treatment outlet temperature, engine outlet NOx value, and post-treatment outlet NOx value.

[0099] The core subsystems of the diesel engine 2 of the embodiment of the present application, namely, the after-treatment system 21, the fuel supply system 22, the cooling and lubrication system 23, and the sensor system 24 can all be operated under harsh working conditions, and can maximize the performance potential of the components. The health status of the above subsystems can be monitored in real time through the monitoring system.

[0100] The Tbox data acquisition and transmission box 3 of the embodiment of the present application can transmit the alarm information sent by the engine status monitor 4 to the cloud through the 4G network.

[0101] The core components of the status monitor 4 of the embodiment of the present application include a CAN transceiver system 41, a CAN parsing system 42, a storage unit 43, and a central processing unit 44, which together constitute a computing center that meets computing power requirements and has deep learning capabilities. The status monitor 4 also has a built-in standard CAN message parsing program that can receive CAN bus information in real time.

[0102] The CAN bus 5 of the embodiment of the present application connects the engine controller 1, the Tbox data acquisition and transmission box 3 and the status monitor 4, thereby realizing information interaction.

[0103] As an example, taking the above system used for mobile vehicles, and mainly used for heavy-duty tractors, the system operation is mainly divided into the following two stages: model training stage and monitoring stage.

[0104] Model training phase: When a new vehicle rolls off the production line and the first engine ignition is started, the model training phase begins. When the diesel engine 2 is started, the engine controller 1 sends a message containing necessary parameters to the status monitor 4 via the CAN bus 5, including parameters such as engine speed, vehicle speed, ambient temperature and pressure, and current vehicle mileage. The engine status monitor 4 receives the above information via the CAN transceiver system 41, and parses the message information via the CAN parsing system 42 to obtain the original information sent by the engine controller 1. The central processing unit 44 determines whether the current vehicle mileage exceeds the limit requirement. The limit is generally set to 1,000 kilometers. If the mileage does not exceed 1,000 kilometers, it can be determined that the vehicle is in normal condition, and the current operation information of the vehicle can be used as a training data set for the baseline model, but for the built-in Before training the engine baseline model in the storage unit 43, the diesel engine 2 must also meet its working conditions such as the coolant temperature and the post-treatment temperature reaching normal states. If the working conditions meet the requirements, the engine baseline model can be trained at this time so that the parameterized engine baseline model can output characteristic parameter values ​​under any working point. The characteristic parameters include 10 items, namely fuel consumption, high-pressure common rail pressure, circulating urea consumption, intake volume, intake pressure, engine outlet temperature, post-treatment temperature, post-treatment outlet temperature, engine outlet NOx value, and post-treatment outlet NOx value. When the mileage has not reached more than 1,000 kilometers, the model is repeatedly trained to improve the model baseline calculation accuracy, thereby completing the model training and baseline calculation stage.

[0105] Monitoring stage: When the mileage exceeds 1,000 kilometers, the vehicle enters the normal monitoring state. The engine controller 1 sends a message containing necessary parameters to the state monitor 4 through the CAN bus 5. The engine baseline model that has completed parameter training calculates 10 state characteristic parameters based on the input operating condition parameters such as vehicle speed and engine speed, namely fuel consumption, high-pressure common rail pressure, cycle urea consumption, intake volume, intake pressure, engine outlet temperature, post-treatment temperature, post-treatment outlet temperature, engine outlet NOx value, and post-treatment outlet NOx value. Each state characteristic parameter represents an engine subsystem with a specific function, such as the engine outlet NOx value, which represents the combustion state of the engine cylinder. The 10 output parameters are The state characteristic parameter value is compared with the parameter quantity obtained by the real sensor under the current working condition, wherein each state characteristic parameter value can be compared with the state characteristic parameter quantity obtained by the real sensor under the current working condition. If the deviation exceeds the threshold (the threshold can be set to 10%), it is considered that there is a problem with the engine subsystem corresponding to the state characteristic. At this time, the engine state monitor 4 sends an alarm message to the Tbox data acquisition transmission box 3 through the CAN transceiver system 41, and the Tbox data acquisition transmission box 3 sends the alarm message to the cloud system through the 4G network. The cloud system performs the next step of processing. The usual processing method is to push the alarm message through the network to the vehicle driver's mobile phone dedicated APP for maintenance reminders.

[0106] This embodiment has the following beneficial effects: (1) Without affecting the overall electronic and electrical architecture of the vehicle, the purpose of monitoring the engine system can be achieved by adding a set of engine status monitors; (2) The engine status monitor is connected to the CAN bus and can collect key signals by receiving general message information; (3) The engine status monitor has a built-in engine baseline model, which can output a normal baseline of the engine status characteristics under any working condition after normal parameter training; (4) Characteristic parameters that can characterize the engine status are selected, and the actual value is compared with the model baseline value to determine whether the engine status is normal; (5) The engine status monitor sends the status judgment result to Tbox, which sends it to the cloud system through the 4G network, and the cloud can perform the next step of processing based on the actual situation.

[0107] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0108] Based on the same inventive concept, the embodiment of the present application also provides a diesel engine state monitoring device for implementing the diesel engine state monitoring method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more diesel engine state monitoring device embodiments provided below can refer to the above limitations on the diesel engine state monitoring method, and will not be repeated here.

[0109] In one embodiment, as shown in FIG. 7 , a diesel engine state monitoring device is provided, including: an acquisition module 702 , a determination module 704 and a monitoring module 706 , wherein:

[0110] The acquisition module 702 is used to acquire the current operating condition parameters of the target vehicle.

[0111] The determination module 704 is used to determine the state characteristic reference value that matches the current operating condition parameter based on the target matching rule; the state characteristic reference value is used to indicate the theoretical value of the characteristic parameter that characterizes the engine state when the target vehicle engine is in a normal state; the target matching rule includes a mapping relationship between the operating condition and the state characteristic value.

[0112] The monitoring module 706 is used to compare the actual value of the state characteristic of the target vehicle with the reference value of the state characteristic, and monitor the engine health status according to the comparison result.

[0113] Each module in the diesel engine state monitoring device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0114] In one embodiment, a vehicle is provided, comprising a computer program, which implements the steps in the above-mentioned method embodiments when executed by a processor.

[0115] In one embodiment, a vehicle is provided, the vehicle comprising the above diesel engine state monitoring system.

[0116] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0117] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0118] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0119] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A diesel engine state monitoring method, characterized in that: The method comprises: Obtain the current operating condition parameters of the target vehicle; Based on the target matching rule, determining a state characteristic reference value matching the current operating condition parameter; the state characteristic reference value is used to indicate a characteristic parameter theoretical value characterizing the engine state when the target vehicle engine is in a normal state; the target matching rule includes a mapping relationship between the operating condition and the state characteristic value; The actual value of the state characteristic of the target vehicle is compared with the reference value of the state characteristic, and the engine health state is monitored according to the comparison result.

2. The method according to claim 1, characterized in that The target matching rule includes a trained engine baseline model; the engine baseline model is trained by the following process: Acquire sample operating condition parameters of the target vehicle and state feature label values ​​of the target vehicle under the sample operating condition parameters; the state feature label values ​​are used to characterize actual values ​​of state features of the target vehicle under the sample operating condition parameters when the engine of the target vehicle is in a normal state; Using the engine baseline model to perform state prediction on the sample operating condition parameters to obtain prediction results; Parameters of the engine baseline model are optimized according to the prediction results and the state feature label values.

3. The method according to claim 2, characterized in that The obtaining of the sample operating condition parameters of the target vehicle and the state feature label value of the target vehicle under the sample operating condition parameters includes: In response to an engine start operation for the target vehicle, detecting a mileage of the target vehicle; In the case where the mileage is less than a preset mileage limit, determining that the engine of the target vehicle is in a normal state; When the engine of the target vehicle is in a normal state, the sample operating condition parameters and the state feature label value are obtained.

4. The method according to claim 3, characterized in that When the mileage is less than a preset mileage limit, determining that the engine of the target vehicle is in a normal state includes: In the case where the mileage is less than a preset mileage limit, detecting whether the operating condition of the target vehicle meets the normal operating requirements; In the case that the operating condition of the target vehicle meets the normal operating requirements, it is determined that the target vehicle is in a normal state.

5. The method according to claim 1, characterized in that The obtaining of the current operating condition parameters of the target vehicle includes: In response to an engine start operation for the target vehicle, detecting a mileage of the target vehicle; When the mileage is greater than or equal to the preset mileage limit, the current operating condition parameters of the target vehicle are obtained.

6. The method according to any one of claims 1 to 5, characterized in that: The method of monitoring the health status of the diesel engine according to the comparison result includes: When the deviation between the actual value of the state characteristic of the target vehicle and the reference value of the state characteristic is greater than a preset deviation threshold, it is determined that the engine of the target vehicle is in an unhealthy working state.

7. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: When the deviation between the actual value of the state characteristic of the target vehicle and the reference value of the state characteristic is less than or equal to a preset deviation threshold, it is determined that the engine of the target vehicle is in a healthy working state.

8. A diesel engine status monitoring device, characterized in that: The device comprises: An acquisition module is used to obtain the current operating condition parameters of the target vehicle; A determination module, for determining a state characteristic reference value matching the current operating condition parameter based on a target matching rule; the state characteristic reference value is used to indicate a characteristic parameter theoretical value characterizing an engine state when the target vehicle engine is in a normal state; the target matching rule includes a mapping relationship between an operating condition and a state characteristic value; The monitoring module is used to compare the actual value of the state characteristic of the target vehicle with the reference value of the state characteristic, and monitor the engine health status according to the comparison result.

9. A diesel engine status monitoring system, characterized in that: The system comprises: Diesel engines; An engine controller, connected to the diesel engine, for obtaining operating condition parameters of the target vehicle and state characteristic values ​​of the diesel engine; A state monitor is connected to the engine controller, and is used to receive operating condition parameters and state characteristic values ​​sent from the engine controller, and execute the steps of any one of the methods of claims 1 to 7.

10. A vehicle having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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