Engine gearbox early warning method and system and intelligent networked automobile

Abstract

The invention relates to the technical field of engine gearbox early warning, and particularly discloses an engine gearbox early warning method and system and an intelligent networked automobile. The method comprises the following steps: acquiring a gear-shifting performance evaluation value, a gear-shifting impact evaluation value and a gear-shifting smoothness evaluation value of a gearbox at the current moment, further acquiring an early-warning judgment value of the gearbox at the current moment, and acquiring a monitoring judgment result of the gearbox at the current moment based on the early-warning judgment value of the gearbox at the current moment. And according to the monitoring judgment result of the engine and the gearbox at the current moment, an engine gearbox early warning result at the current moment is obtained. According to the method and the device, whether the running condition of the gearbox at the current moment needs to be pre-warned or not is accurately quantified, so that a more comprehensive and accurate engine gearbox pre-warning result is obtained, and potential fault problems of the gearbox and an engine can be found in time.

Description

Technical Field

[0001] The present invention relates to the field of engine gearbox early warning technology, and in particular to an engine gearbox early warning method, system and intelligent network-connected vehicle. Background Art

[0002] At present, engines and transmissions are key power transmission components in vehicles such as automobiles. The engine is responsible for generating power, while the transmission is responsible for regulating and transmitting this power to the wheels to achieve smooth driving at different speeds. The performance of both is directly related to the vehicle's fuel economy, driving experience, safety, and overall reliability. Due to the high-load operating characteristics of engines and transmissions, they are prone to failures due to factors such as wear, aging, improper use, or design defects. If these failures are not discovered and handled in a timely manner, they may lead to reduced vehicle performance, reduced fuel efficiency, increased driving safety hazards, and even serious accidents. Therefore, real-time performance monitoring and fault warning of engines and transmissions are crucial. Traditional vehicle maintenance methods often rely on regular inspections and repairs after failures, which is not only inefficient, but also difficult to effectively warn before failures occur. With the development of vehicle electronic control systems, although a large amount of operating data can be collected through sensors, how to efficiently and accurately analyze this data to predict potential failures has become an urgent problem to be solved.

[0003] However, there is currently no engine transmission warning method, system and intelligent connected vehicle that can accurately quantify whether the transmission's current operating status requires a warning, and thereby obtain more comprehensive and accurate engine transmission warning results, so as to promptly detect potential transmission and engine failure problems, thereby improving the reliability and safety of the equipment.

[0004] Therefore, the present invention proposes an engine transmission early warning method, system and intelligent networked vehicle. Summary of the invention

[0005] The present invention provides an engine gearbox early warning method, system and intelligent network-connected vehicle, which are used to obtain the gear-entry performance evaluation value, gear-shift impact evaluation value and gear-shift smoothness evaluation value of the gearbox at the current moment according to all gear-shift monitoring information of all gear-shift moments of the gearbox in a preset time period before the current moment, and respectively quantify the stability and efficiency of the gearbox in the gear-shift process at the current moment, the degree of abnormal impact and the degree of stability of power transmission, and then determine the characterization column matrix of each gear-shift moment of the gearbox in the preset time period before the current moment, so as to facilitate the subsequent prediction of faulty gear-shift moments and the prediction of normal gear-shift moments. According to the characterization column matrix of all gear-shift moments of the gearbox in the preset time period before the current moment, all predicted faulty gear-shift moments of the gearbox in the preset time period before the current moment are obtained. and all predicted normal shifting moments, and it is realized that from all the shifting moments of the gearbox in the preset time period before the current moment, the predicted shifting moments of the possible and non-faulty gearbox are screened out, and then the early warning judgment value of the gearbox at the current moment is obtained, and according to the early warning judgment value of the gearbox at the current moment, the monitoring and judgment result of the gearbox at the current moment is obtained, and then according to the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the gearbox at the current moment, the early warning result of the engine gearbox at the current moment is obtained, and it is realized that whether the operation status of the gearbox at the current moment needs to be warned is accurately quantified, and then it is realized to obtain more comprehensive and accurate engine gearbox early warning results, which is conducive to timely discovery of potential fault problems of the gearbox and the engine, thereby improving the reliability and safety of the equipment.

[0006] The present invention provides an engine gearbox early warning method, comprising:

[0007] S1: Based on all types of monitoring parameters of the engine at each moment in a preset time period before the current moment, obtain the monitoring judgment result of the engine at the current moment;

[0008] S2: based on all the gear shift monitoring information of all the gear shifting moments of the gearbox within a preset time period before the current moment, obtaining the gear shifting performance evaluation value, the gear shifting impact evaluation value and the gear shifting smoothness evaluation value of the gearbox at the current moment;

[0009] S3: based on the gear-entry performance evaluation values, gear-shift shock evaluation values, and gear-shift smoothness evaluation values ​​of all gear-shifting moments of the gearbox in the preset time period before the current moment, obtaining a characterization column matrix of each gear-shifting moment of the gearbox in the preset time period before the current moment, and based on the characterization column matrix of all gear-shifting moments of the gearbox in the preset time period before the current moment, obtaining all predicted faulty gear-shifting moments and all predicted normal gear-shifting moments of the gearbox in the preset time period before the current moment;

[0010] S4: based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, obtaining a warning judgment value of the gearbox at the current moment, and based on the warning judgment value of the gearbox at the current moment, obtaining a monitoring judgment result of the gearbox at the current moment;

[0011] S5: Based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the transmission at the current moment, obtain the engine transmission warning result at the current moment.

[0012] Preferably, the engine gearbox early warning method, S1: based on all types of monitoring parameters of the engine at each moment in a preset time period before the current moment, obtain the monitoring judgment result of the engine at the current moment, including:

[0013] Obtaining all types of monitoring parameters of the engine at each moment in a preset time period before the current moment, wherein all types of monitoring parameters include vibration monitoring parameters, oil pressure monitoring parameters, and coolant temperature monitoring parameters;

[0014] The absolute value of the difference between the mean value of each type of monitoring parameter of the engine at all times within a preset time period before the current time and the corresponding type of monitoring parameter of the engine at the current time is regarded as the fluctuation difference of the corresponding type of monitoring parameter of the engine at the current time;

[0015] The quotient between the fluctuation difference of each type of monitoring parameter of the engine at the current moment and the standard deviation of each type of monitoring parameter of the engine at all moments in a preset time period before the current moment is regarded as the early warning coefficient of the corresponding type of monitoring parameter of the engine at the current moment;

[0016] Determine whether, among all types of monitoring parameters of the engine at the current moment, there is at least one type of monitoring parameter whose warning coefficient is greater than a preset value. If so, a warning is required as the monitoring judgment result of the engine at the current moment; otherwise, no warning is required as the monitoring judgment result of the engine at the current moment.

[0017] Preferably, the engine gearbox early warning method, S2: based on all gear shift monitoring information of all gear shift moments of the gearbox within a preset time period before the current moment, obtaining the gear shift performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value of the gearbox at the current moment, including:

[0018] The moment when the gearbox starts shifting in each gear shifting process within the preset time period before the current moment is regarded as the gear shifting moment of the gearbox within the preset time period before the current moment;

[0019] Acquire all the gear shift monitoring information of all the gear shifting moments of the gearbox within a preset time period before the current moment, wherein all the gear shift monitoring information includes gear entry performance information, gear shift impact information and gear shift smoothness information, and the gear entry performance information includes a gear entry time value and a gear entry acceleration variable value, the gear shift impact information includes a vibration frequency value and a vibration variable value, and the gear shift smoothness information includes a gearbox speed value and a vehicle speed value;

[0020] Based on all the gear shift monitoring information of all the gear shift moments in a preset time period before the current moment, the gear entry performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value of the gearbox at the current moment are obtained.

[0021] Preferably, the engine gearbox early warning method obtains the gear shift performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value of the gearbox at the current moment based on all gear shift monitoring information of the gearbox at all gear shift moments within a preset time period before the current moment, including:

[0022] Based on all types of gear-entry performance information, all types of gear-shift impact information, and all types of gear-shift smoothness information of the gearbox at all gear-shift moments in a preset time period before the current moment, a fluctuation coefficient of all types of gear-entry performance information, a fluctuation coefficient of all types of gear-shift impact information, and a fluctuation coefficient of all types of gear-shift smoothness information of the gearbox at all gear-shift moments in a preset time period before the current moment are obtained;

[0023] The sum of the fluctuation coefficients of all types of gear-entry performance information of the gearbox at each gear-shifting moment in the preset time period before the current moment is taken as the gear-entry performance evaluation value of the gearbox at the corresponding gear-shifting moment in the preset time period before the current moment, and the mean of the gear-entry performance evaluation values ​​of all gear-shifting moments in the preset time period before the current moment is taken as the gear-entry performance evaluation value of the gearbox at the current moment;

[0024] The sum of the fluctuation coefficients of all types of gear shift shock information at each gear shifting moment of the gearbox in a preset time period before the current moment is taken as the gear shift shock evaluation value of the gearbox corresponding to the gear shifting moment in the preset time period before the current moment, and the average of the gear shift shock evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment is taken as the gear shift shock evaluation value of the gearbox at the current moment;

[0025] If the fluctuation coefficients of all types of gear shift smoothness information of each gear shift moment of the gearbox within the preset time period before the current moment are not greater than the preset fluctuation coefficient threshold, the corresponding gear shift moment of the gearbox within the preset time period before the current moment will be regarded as the stable moment of the gearbox within the preset time period before the current moment, and the quotient between the number of all gear shift moments of the gearbox within the preset time period before the current moment and the number of all stable moments of the gearbox within the preset time period before the current moment will be regarded as the gear shift smoothness evaluation value of the gearbox at the current moment.

[0026] Preferably, the engine gearbox early warning method obtains a characterization column matrix of each gear shifting moment of the gearbox within a preset time period before the current moment based on the gear entry performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value of all gear shifting moments of the gearbox within a preset time period before the current moment, including:

[0027] Obtaining all types of evaluation values ​​of all gear shifting moments of the gearbox within a preset time period before the current moment, wherein all types of evaluation values ​​include gear entry performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value;

[0028] The quotient between each type of evaluation value of each gear shifting moment of the gearbox in the preset time period before the current moment and the average of the corresponding type evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment is used as the ranking degree of the corresponding type evaluation value of the gearbox corresponding to the gear shifting moment in the preset time period before the current moment;

[0029] Sorting all the class evaluation values ​​of each gear shifting moment of the gearbox within a preset time period before the current moment in descending order of the sorting degree, obtaining the sorting result of all the class evaluation values ​​of each gear shifting moment of the gearbox within the preset time period before the current moment, and based on the sorting result of all the class evaluation values ​​of each gear shifting moment of the gearbox within the preset time period before the current moment, obtaining the first class evaluation value, the second class evaluation value and the third class evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment;

[0030] Based on the first evaluation value, the second evaluation value and the third evaluation value of each gear shifting moment of the gearbox in the preset time period before the current moment, a characterization column matrix corresponding to the gear shifting moment of the gearbox in the preset time period before the current moment is obtained.

[0031] Preferably, the engine gearbox early warning method obtains all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within the preset time period before the current moment based on the characterization column matrix of all shifting moments of the gearbox within the preset time period before the current moment, including:

[0032] The mean of each type of evaluation value of all gear shifting moments of the gearbox within the preset time period before the current moment is regarded as the constructed mean of the corresponding type of evaluation value of the gearbox within the preset time period before the current moment, and the constructed mean corresponding to the first type of evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the first matrix element of the gearbox corresponding to the gear shifting moment within the preset time period before the current moment, the constructed mean corresponding to the second type of evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the second matrix element of the gearbox corresponding to the gear shifting moment within the preset time period before the current moment, and the constructed mean corresponding to the third type of evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the third matrix element of the gearbox corresponding to the gear shifting moment within the preset time period before the current moment;

[0033] Based on the first matrix element, the second matrix element and the third matrix element of each gear shifting moment of the gearbox in the preset time period before the current moment, a characterization row matrix corresponding to the gear shifting moment of the gearbox in the preset time period before the current moment is obtained, and the characterization column matrix and the characterization row matrix of each gear shifting moment of the gearbox in the preset time period before the current moment are matrix-multiplied to obtain a prediction determination matrix of each gear shifting moment of the gearbox in the preset time period before the current moment;

[0034] If the spectral radius of the prediction decision matrix of each gear shifting moment of the gearbox within the preset time period before the current moment is greater than the preset spectral radius threshold, the corresponding gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the predicted faulty gear shifting moment; otherwise, the corresponding gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the predicted normal gear shifting moment.

[0035] Preferably, the engine gearbox early warning method, S4: based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, obtaining the early warning judgment value of the gearbox at the current moment, and based on the early warning judgment value of the gearbox at the current moment, obtaining the monitoring judgment result of the gearbox at the current moment, including:

[0036] The predicted fault shifting moment with the shortest time interval with the current moment among all predicted fault shifting moments of the gearbox within the preset time period before the current moment is regarded as the reference fault shifting moment of the gearbox at the current moment, and the predicted normal shifting moment with the shortest time interval with the current moment among all predicted normal shifting moments of the gearbox within the preset time period before the current moment is regarded as the reference normal shifting moment of the gearbox at the current moment;

[0037] Based on the reference fault shifting time and the reference normal shifting time of the gearbox at the current moment, the early warning judgment value of the gearbox at the current moment is obtained, which is:

[0038]

[0039] Among them, δ is the warning judgment value of the gearbox at the current moment, max(α2, β2, γ2) is the maximum value among (α2, β2, γ2), α2 is the gear-entry performance evaluation value of the gearbox at the reference fault shifting moment at the current moment, β2 is the gear-shifting impact evaluation value of the gearbox at the reference fault shifting moment at the current moment, γ2 is the gear-shifting smoothness evaluation value of the gearbox at the reference fault shifting moment at the current moment, max(α0, β0, γ0) is the maximum value among (α0, β0, γ0), α0 is the mean of the gear-entry performance evaluation values ​​of all gear-shifting moments in the preset time period before the current moment, β0 is the gear-shifting impact evaluation value of all gear-shifting moments in the preset time period before the current moment, and γ1 is the gear-shifting impact evaluation value of all gear-shifting moments in the preset time period before the current moment. is the mean of the gear shift shock evaluation values ​​at the moment, γ0 is the mean of the gear shift smoothness evaluation values ​​of all gear shift moments of the gearbox in the preset time period before the current moment, n1 is the number of all predicted normal gear shift moments of the gearbox in the preset time period before the current moment, n2 is the number of all predicted fault gear shift moments of the gearbox in the preset time period before the current moment, α1 is the gear entry performance evaluation value of the gearbox at the reference normal gear shift moment at the current moment, β1 is the gear shift shock evaluation value of the gearbox at the reference normal gear shift moment at the current moment, γ1 is the gear shift smoothness evaluation value of the gearbox at the reference normal gear shift moment at the current moment, ln is the natural logarithm, and the value of the natural constant e is 2.718;

[0040] If the warning judgment value of the gearbox at the current moment is greater than the preset warning judgment threshold, a warning is required as the monitoring and judgment result of the gearbox at the current moment; otherwise, no warning is required as the monitoring and judgment result of the gearbox at the current moment.

[0041] Preferably, the engine gearbox early warning method, S5: based on the monitoring and judgment results of the engine at the current moment and the monitoring and judgment results of the gearbox at the current moment, obtaining the engine gearbox early warning result at the current moment, including:

[0042] When the monitoring judgment result of the engine or transmission at the current moment is that a warning is needed, the warning need is regarded as the engine transmission warning result at the current moment.

[0043] The present invention provides an engine transmission warning system, which is used to execute any one of the engine transmission warning methods in embodiments 1 to 8, including:

[0044] A first judgment module, used to obtain a monitoring judgment result of the engine at the current moment based on all types of monitoring parameters of the engine at each moment in a preset time period before the current moment;

[0045] An evaluation module, for obtaining a gear-entry performance evaluation value, a gear-shift impact evaluation value, and a gear-shift smoothness evaluation value of the gearbox at the current moment based on all gear-shift monitoring information of all gear-shift moments of the gearbox within a preset time period before the current moment;

[0046] an analysis module, for obtaining a characterization column matrix of each gear shifting moment of the gearbox within a preset time period before the current moment based on a gear entry performance evaluation value, a gear shift shock evaluation value, and a gear shift smoothness evaluation value of all gear shifting moments of the gearbox within a preset time period before the current moment, and obtaining all predicted faulty gear shifting moments and all predicted normal gear shifting moments of the gearbox within the preset time period before the current moment based on the characterization column matrix of all gear shifting moments of the gearbox within the preset time period before the current moment;

[0047] A second judgment module is used to obtain a warning judgment value of the gearbox at the current moment based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, and obtain a monitoring judgment result of the gearbox at the current moment based on the warning judgment value of the gearbox at the current moment;

[0048] The early warning module is used to obtain the engine and gearbox early warning result at the current moment based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the gearbox at the current moment.

[0049] The present invention provides an intelligent networked vehicle, which adopts the engine transmission warning system as described in Example 9.

[0050] The beneficial effects of the present invention compared with the prior art are as follows: according to all the gear shift monitoring information of all the gear shift moments of the gearbox in the preset time period before the current moment, the gear entry performance evaluation value, the gear shift impact evaluation value and the gear shift smoothness evaluation value of the gearbox at the current moment are obtained, and the stability and efficiency of the gearbox in the gear shift process at the current moment, the degree of abnormal impact and the degree of stability of power transmission are quantified respectively, and then the characterization column matrix of each gear shift moment of the gearbox in the preset time period before the current moment is determined, which is convenient for the subsequent prediction of faulty gear shift moments and the prediction of normal gear shift moments. According to the characterization column matrix of all the gear shift moments of the gearbox in the preset time period before the current moment, all the predicted faulty gear shift moments and all the predicted normal gear shift moments in the preset time period before the current moment are obtained. The common shifting moments can screen out the predicted shifting moments of possible and non-faulty gearboxes from all the gear shifting moments of the gearbox within a preset time period before the current moment, and then obtain the early warning judgment value of the gearbox at the current moment, and obtain the monitoring and judgment result of the gearbox at the current moment based on the early warning judgment value of the gearbox at the current moment, and then obtain the engine gearbox early warning result at the current moment based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the gearbox at the current moment, so as to accurately quantify whether the operation status of the gearbox at the current moment needs to be warned, and then obtain more comprehensive and accurate engine gearbox early warning results, which is conducive to timely discovery of potential fault problems of the gearbox and engine, thereby improving the reliability and safety of the equipment.

[0051] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structure specifically pointed out in the written application document.

[0052] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0054] Figure 1 This is a flow chart of an engine transmission early warning method in an embodiment of the present invention;

[0055] Figure 2 Schematic diagram of an engine transmission warning system in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0057] Embodiment 1:

[0058] The present invention provides an engine gearbox early warning method, referring to Figure 1 ,include:

[0059] S1: Based on all types of monitoring parameters of the engine at each moment in a preset time period before the current moment, obtain the monitoring judgment result of the engine at the current moment;

[0060] S2: based on all the gear shift monitoring information of all the gear shifting moments of the gearbox within a preset time period before the current moment, obtaining the gear shifting performance evaluation value, the gear shifting impact evaluation value and the gear shifting smoothness evaluation value of the gearbox at the current moment;

[0061] S3: based on the gear-entry performance evaluation values, gear-shift shock evaluation values, and gear-shift smoothness evaluation values ​​of all gear-shifting moments of the gearbox in the preset time period before the current moment, obtaining a characterization column matrix of each gear-shifting moment of the gearbox in the preset time period before the current moment, and based on the characterization column matrix of all gear-shifting moments of the gearbox in the preset time period before the current moment, obtaining all predicted faulty gear-shifting moments and all predicted normal gear-shifting moments of the gearbox in the preset time period before the current moment;

[0062] S4: based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, obtaining a warning judgment value of the gearbox at the current moment, and based on the warning judgment value of the gearbox at the current moment, obtaining a monitoring judgment result of the gearbox at the current moment;

[0063] S5: Based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the transmission at the current moment, obtain the engine transmission warning result at the current moment.

[0064] In this embodiment, the preset time period is a time period preset to obtain all types of monitoring parameters of the engine or all gear shift monitoring information of the transmission.

[0065] In this embodiment, each moment is a moment selected from a preset time period before the current moment, and the time length between each adjacent moment is the same.

[0066] In this embodiment, the monitoring and judgment result of the engine at the current moment is a judgment result of whether the operation status of the engine at the current moment needs to be warned, and the monitoring and judgment result of the engine at the current moment includes whether a warning is needed or not.

[0067] In this embodiment, the gear shifting performance evaluation value of the gearbox at the current moment is a value evaluated based on all gear shifting monitoring information of the gearbox at all gear shifting moments in a preset time period before the current moment, which can reflect the smoothness and efficiency of the gearbox in the gear shifting process at the current moment, and the larger the gear shifting performance evaluation value, the lower the smoothness and efficiency of the gearbox in the gear shifting process.

[0068] In this embodiment, the gear shift shock evaluation value of the gearbox at the current moment is a value evaluated based on all gear shift monitoring information of the gearbox at all gear shift moments in a preset time period before the current moment, which can reflect the degree of abnormal shock in the gearbox during the gear shifting process at the current moment, and the larger the gear shift shock evaluation value, the greater the degree of abnormal shock in the gearbox during the gear shifting process.

[0069] In this embodiment, the gear shift smoothness evaluation value of the gearbox at the current moment is a value evaluated based on all gear shift monitoring information of the gearbox at all gear shift moments in a preset time period before the current moment, which can reflect the smoothness of power transmission of the gearbox during the gear shifting process at the current moment, and the larger the gear shift smoothness evaluation value, the less smooth the power transmission of the gearbox during the gear shifting process.

[0070] In this embodiment, the characterization column matrix is ​​a column matrix constructed by using the gear entry performance evaluation value, gear shift shock evaluation value and gear shift smoothness evaluation value of each gear shift moment of the gearbox within a preset time period before the current moment as matrix elements, and can characterize the gear shift situation of each gear shift moment of the gearbox within a preset time period before the current moment.

[0071] In this embodiment, the predicted faulty gear shifting moment is a gear shifting moment at which a gearbox is predicted to have a possible fault, which is screened out from all gear shifting moments of the gearbox within a preset time period before the current moment.

[0072] In this embodiment, the predicted normal gear shifting time is a gear shifting time at which the gearbox is predicted to have no fault, which is screened out from all gear shifting times of the gearbox within a preset time period before the current time.

[0073] In this embodiment, the early warning judgment value of the gearbox at the current moment is a judgment value obtained based on all predicted fault shift moments and all predicted normal shift moments of the gearbox within a preset time period before the current moment, which can characterize whether the operation status of the gearbox at the current moment requires an early warning.

[0074] In this embodiment, the monitoring and judgment result of the gearbox at the current moment is a judgment result of whether a warning is required for the operation of the gearbox at the current moment, which is obtained based on the warning judgment value of the gearbox at the current moment, and the monitoring and judgment result of the engine at the current moment includes whether a warning is required or not.

[0075] In this embodiment, the engine transmission warning result at the current moment is the engine transmission warning result at the current moment obtained based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the transmission at the current moment.

[0076] The beneficial effects of the above technology are as follows: according to all the gear shift monitoring information of all the gear shifting moments of the gearbox in the preset time period before the current moment, the gear shifting performance evaluation value, the gear shifting impact evaluation value and the gear shifting smoothness evaluation value of the gearbox at the current moment are obtained, and the stability and efficiency of the gearbox in the gear shifting process at the current moment, the degree of abnormal impact and the degree of stability of power transmission are quantified respectively, and then the characterization column matrix of each gear shifting moment of the gearbox in the preset time period before the current moment is determined, which is convenient for the subsequent prediction of faulty gear shifting moments and the prediction of normal gear shifting moments. According to the characterization column matrix of all the gear shifting moments of the gearbox in the preset time period before the current moment, all the predicted faulty gear shifting moments and all the predicted normal gear shifting moments of the gearbox in the preset time period before the current moment are obtained. At this moment, it is realized to screen out the predicted gear shift moments with possible and non-faulty gearboxes from all gear shift moments in a preset time period before the current moment, and then obtain the early warning judgment value of the gearbox at the current moment, and obtain the monitoring judgment result of the gearbox at the current moment based on the early warning judgment value of the gearbox at the current moment, and then obtain the engine gearbox early warning result at the current moment based on the monitoring judgment result of the engine at the current moment and the monitoring judgment result of the gearbox at the current moment, and realize accurate quantification of whether the operation status of the gearbox at the current moment needs to be warned, and then realize obtaining more comprehensive and accurate engine gearbox early warning results, which is conducive to timely discovery of potential fault problems of the gearbox and the engine, thereby improving the reliability and safety of the equipment.

[0077] Embodiment 2:

[0078] Based on Example 1, the engine transmission early warning method, S1: based on all types of monitoring parameters of the engine at each moment in a preset time period before the current moment, obtain the monitoring judgment result of the engine at the current moment, including:

[0079] Obtaining all types of monitoring parameters of the engine at each moment in a preset time period before the current moment, wherein all types of monitoring parameters include vibration monitoring parameters, oil pressure monitoring parameters, and coolant temperature monitoring parameters;

[0080] The absolute value of the difference between the mean value of each type of monitoring parameter of the engine at all times within a preset time period before the current time and the corresponding type of monitoring parameter of the engine at the current time is regarded as the fluctuation difference of the corresponding type of monitoring parameter of the engine at the current time;

[0081] The quotient between the fluctuation difference of each type of monitoring parameter of the engine at the current moment and the standard deviation of each type of monitoring parameter of the engine at all moments in a preset time period before the current moment is regarded as the early warning coefficient of the corresponding type of monitoring parameter of the engine at the current moment;

[0082] Determine whether, among all types of monitoring parameters of the engine at the current moment, there is at least one type of monitoring parameter whose warning coefficient is greater than a preset value. If so, a warning is required as the monitoring judgment result of the engine at the current moment; otherwise, no warning is required as the monitoring judgment result of the engine at the current moment.

[0083] In this embodiment, the vibration monitoring parameter is a value of the vibration frequency of the engine monitored in real time by a vibration sensor pre-installed on the surface of the engine.

[0084] In this embodiment, the oil pressure monitoring parameter is the value of the pressure formed by the oil in the lubrication system when the engine is running, and the pressure value is displayed on the instrument panel through an oil pressure gauge or an oil pressure signal indicator light to reflect the lubrication condition of the engine oil.

[0085] In this embodiment, the coolant temperature monitoring parameter is a temperature value of the coolant in the engine cooling system monitored by a preset temperature sensor.

[0086] In this embodiment, the preset value is a pre-set value used to obtain the monitoring and judgment result of the engine at the current moment.

[0087] The beneficial effects of the above technology are: clarifying the specific parameter items of all types of monitoring parameters of the engine at each moment in the preset time period before the current moment, and obtaining the fluctuation difference of all types of monitoring parameters of the engine at the current moment based on each type of monitoring parameter of the engine at all moments in the preset time period before the current moment, and then obtaining the monitoring judgment result of the engine at the current moment based on the fluctuation difference of all types of monitoring parameters of the engine at the current moment.

[0088] Embodiment 3:

[0089] Based on the first embodiment, the engine gearbox early warning method, S2: based on all the gear shift monitoring information of all the gear shifting moments of the gearbox within a preset time period before the current moment, obtain the gear shifting performance evaluation value, the gear shifting impact evaluation value and the gear shifting smoothness evaluation value of the gearbox at the current moment, including:

[0090] The moment when the gearbox starts shifting in each gear shifting process within the preset time period before the current moment is regarded as the gear shifting moment of the gearbox within the preset time period before the current moment;

[0091] Acquire all the gear shift monitoring information of all the gear shifting moments of the gearbox within a preset time period before the current moment, wherein all the gear shift monitoring information includes gear entry performance information, gear shift impact information and gear shift smoothness information, and the gear entry performance information includes a gear entry time value and a gear entry acceleration variable value, the gear shift impact information includes a vibration frequency value and a vibration variable value, and the gear shift smoothness information includes a gearbox speed value and a vehicle speed value;

[0092] Based on all the gear shift monitoring information of all the gear shift moments in a preset time period before the current moment, the gear entry performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value of the gearbox at the current moment are obtained.

[0093] In this embodiment, the gear shifting process is a complete process of the transmission shifting from one gear to another gear.

[0094] In this embodiment, the gear-entry time value is the value of the length of time required for the gearbox to complete the gear shifting during the gear shifting process corresponding to each gear shifting moment.

[0095] In this embodiment, the gear-entry acceleration variable value is the value of the change in vehicle acceleration caused by the gear change during the gear shifting process corresponding to each gear shifting moment of the transmission.

[0096] In this embodiment, the vibration frequency value is the value of the vibration frequency of the gearbox when the gear shift is completed during the gear shifting process corresponding to each gear shifting moment.

[0097] In this embodiment, the vibration variable value is the value of the change in the vibration frequency of the gearbox when the gearbox shifts from one gear to another during the gear shifting process corresponding to each gear shifting moment.

[0098] In this embodiment, the transmission speed value is a value of the transmission input shaft speed when the transmission completes the gear shift during the gear shift process corresponding to each gear shift moment.

[0099] In this embodiment, the vehicle speed value is the speed value of the vehicle when the gearbox completes the gear shift during the gear shift process corresponding to each gear shift moment.

[0100] The beneficial effects of the above technology are: clarifying the specific items of the gear shift performance information, gear shift impact information and gear shift smoothness information of all gear shift moments in the preset time period before the current moment, thereby facilitating the subsequent acquisition of the gear shift performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value of the gearbox at the current moment based on all gear shift monitoring information of all gear shift moments in the preset time period before the current moment.

[0101] Embodiment 4:

[0102] On the basis of Example 3, the engine gearbox early warning method obtains the gear shift performance evaluation value, the gear shift impact evaluation value and the gear shift smoothness evaluation value of the gearbox at the current moment based on all gear shift monitoring information of all gear shift moments in a preset time period before the current moment, including:

[0103] Based on all types of gear-entry performance information, all types of gear-shift impact information, and all types of gear-shift smoothness information of the gearbox at all gear-shift moments in a preset time period before the current moment, a fluctuation coefficient of all types of gear-entry performance information, a fluctuation coefficient of all types of gear-shift impact information, and a fluctuation coefficient of all types of gear-shift smoothness information of the gearbox at all gear-shift moments in a preset time period before the current moment are obtained;

[0104] The sum of the fluctuation coefficients of all types of gear-entry performance information of the gearbox at each gear-shifting moment in the preset time period before the current moment is taken as the gear-entry performance evaluation value of the gearbox at the corresponding gear-shifting moment in the preset time period before the current moment, and the mean of the gear-entry performance evaluation values ​​of all gear-shifting moments in the preset time period before the current moment is taken as the gear-entry performance evaluation value of the gearbox at the current moment;

[0105] The sum of the fluctuation coefficients of all types of gear shift shock information at each gear shifting moment of the gearbox in a preset time period before the current moment is taken as the gear shift shock evaluation value of the gearbox corresponding to the gear shifting moment in the preset time period before the current moment, and the average of the gear shift shock evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment is taken as the gear shift shock evaluation value of the gearbox at the current moment;

[0106] If the fluctuation coefficients of all types of gear shift smoothness information of each gear shift moment of the gearbox within the preset time period before the current moment are not greater than the preset fluctuation coefficient threshold, the corresponding gear shift moment of the gearbox within the preset time period before the current moment will be regarded as the stable moment of the gearbox within the preset time period before the current moment, and the quotient between the number of all gear shift moments of the gearbox within the preset time period before the current moment and the number of all stable moments of the gearbox within the preset time period before the current moment will be regarded as the gear shift smoothness evaluation value of the gearbox at the current moment.

[0107] In this embodiment, based on all types of gear-entry performance information, all types of gear-shift impact information, and all types of gear-shift smoothness information at all gear-shift moments of the gearbox within a preset time period before the current moment, the fluctuation coefficient of all types of gear-entry performance information, the fluctuation coefficient of all types of gear-shift impact information, and the fluctuation coefficient of all types of gear-shift smoothness information at all gear-shift moments of the gearbox within a preset time period before the current moment are obtained, namely:

[0108] The difference between the maximum value and the minimum value of each type of gear-entry performance information (each type of gear-shift impact information or each type of gear-shift smoothness information) in all gear-shift moments of the gearbox within a preset time period before the current moment is regarded as the extreme value of each type of gear-entry performance information (each type of gear-shift impact information or each type of gear-shift smoothness information) of the gearbox in the preset time period before the current moment, and the quotient between the extreme value of each type of gear-entry performance information (each type of gear-shift impact information or each type of gear-shift smoothness information) at each gear-shift moment of the gearbox within the preset time period before the current moment and the extreme value of the corresponding type of gear-entry performance information (corresponding type of gear-shift impact information or corresponding type of gear-shift smoothness information) of the gearbox in the preset time period before the current moment is regarded as the fluctuation coefficient of the corresponding type of gear-entry performance information (corresponding type of gear-shift impact information or corresponding type of gear-shift smoothness information) of the gearbox at the corresponding gear-shift moment within the preset time period before the current moment.

[0109] In this embodiment, the preset fluctuation coefficient threshold is a preset fluctuation coefficient threshold used to obtain a stable moment of the gearbox within a preset time period before the current moment.

[0110] The beneficial effects of the above technology are: based on all the gear shift monitoring information of all the gear shift moments in the preset time period before the current moment, the gear shift performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value of the gearbox at the current moment are obtained, and the smoothness and efficiency of the gearbox in the gear shifting process at the current moment, the degree of abnormal impact and the smoothness of power transmission are quantified separately.

[0111] Embodiment 5:

[0112] On the basis of Example 1, the engine gearbox early warning method obtains a characterization column matrix of each gear shifting moment of the gearbox within a preset time period before the current moment based on the gear entry performance evaluation value, gear shift shock evaluation value and gear shift smoothness evaluation value of all gear shifting moments of the gearbox within a preset time period before the current moment, including:

[0113] Obtaining all types of evaluation values ​​of all gear shifting moments of the gearbox within a preset time period before the current moment, wherein all types of evaluation values ​​include gear entry performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value;

[0114] The quotient between each type of evaluation value of each gear shifting moment of the gearbox in the preset time period before the current moment and the average of the corresponding type evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment is used as the ranking degree of the corresponding type evaluation value of the gearbox corresponding to the gear shifting moment in the preset time period before the current moment;

[0115] Sorting all the class evaluation values ​​of each gear shifting moment of the gearbox within the preset time period before the current moment in descending order of the sorting degree, obtaining the sorting result of all the class evaluation values ​​of each gear shifting moment of the gearbox within the preset time period before the current moment, and based on the sorting result (A, B, C) of all the class evaluation values ​​of each gear shifting moment of the gearbox within the preset time period before the current moment, obtaining the first class evaluation value (A), the second class evaluation value (B) and the third class evaluation value (C) of each gear shifting moment of the gearbox within the preset time period before the current moment;

[0116] Based on the first-category evaluation value, the second-category evaluation value, and the third-category evaluation value of each gear shifting moment in the preset time period before the current moment, the characterization column matrix corresponding to the gear shifting moment in the preset time period before the current moment is obtained.

[0117] The beneficial effects of the above technology are: according to the gear-entry performance evaluation values, gear-shift shock evaluation values ​​and gear-shift smoothness evaluation values ​​of all gear-shifting moments of the gearbox within the preset time period before the current moment, a characterization column matrix of each gear-shifting moment of the gearbox within the preset time period before the current moment is obtained, which is convenient for subsequent prediction of faulty gear-shifting moments and screening out of normal gear-shifting moments. A specific method for constructing a characterization column matrix of each gear-shifting moment of the gearbox within the preset time period before the current moment is given in detail, which improves the accuracy and efficiency of fault prediction, enables technical personnel to quickly locate the time point when faults may exist, and reduces the misjudgment of normal gear-shifting moments.

[0118] Embodiment 6:

[0119] On the basis of Example 5, the engine gearbox early warning method obtains all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within the preset time period before the current moment based on the characterization column matrix of all shifting moments of the gearbox within the preset time period before the current moment, including:

[0120] The mean of each type of evaluation value of all gear shifting moments of the gearbox within the preset time period before the current moment is regarded as the constructed mean of the corresponding type of evaluation value of the gearbox within the preset time period before the current moment, and the constructed mean corresponding to the first type of evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the first matrix element (Q) of the gearbox corresponding to the gear shifting moment within the preset time period before the current moment, the constructed mean corresponding to the second type of evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the second matrix element (W) of the gearbox corresponding to the gear shifting moment within the preset time period before the current moment, and the constructed mean corresponding to the third type of evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the third matrix element (R) of the gearbox corresponding to the gear shifting moment within the preset time period before the current moment;

[0121] Based on the first matrix element (Q), the second matrix element (W) and the third matrix element (R) of each gear shifting moment of the gearbox in the preset time period before the current moment, the characterization row matrix corresponding to the gear shifting moment in the preset time period before the current moment is obtained. ( QWR ) , and perform matrix multiplication of the characterization column matrix and the characterization row matrix of each gear shifting moment of the gearbox in the preset time period before the current moment, to obtain a prediction determination matrix of each gear shifting moment of the gearbox in the preset time period before the current moment;

[0122] If the spectral radius of the prediction decision matrix of each gear shifting moment of the gearbox within the preset time period before the current moment is greater than the preset spectral radius threshold, the corresponding gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the predicted faulty gear shifting moment; otherwise, the corresponding gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the predicted normal gear shifting moment.

[0123] In this embodiment, the prediction determination matrix is ​​a matrix used to analyze and determine whether each gear shifting moment of the transmission within a preset time period before the current moment is a predicted fault gear shifting moment or a predicted normal gear shifting moment.

[0124] In this embodiment, the spectral radius of the prediction decision matrix is ​​the maximum value of the modulus (ie, absolute value) of all eigenvalues ​​of the prediction decision matrix.

[0125] In this embodiment, the preset spectrum radius threshold is a preset spectrum radius threshold used to determine whether each gear shifting moment of the transmission within a preset time period before the current moment is a predicted fault gear shifting moment.

[0126] The beneficial effect of the above technology is: based on the characterization column matrix of all gear shifting moments of the gearbox within the preset time period before the current moment, all predicted faulty gear shifting moments and all predicted normal gear shifting moments of the gearbox within the preset time period before the current moment are obtained, and the predicted gear shifting moments with possible and non-faulty gearboxes are screened out from all gear shifting moments of the gearbox within the preset time period before the current moment.

[0127] Embodiment 7:

[0128] Based on the fourth embodiment, the engine gearbox early warning method, S4: based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, obtaining the early warning judgment value of the gearbox at the current moment, and based on the early warning judgment value of the gearbox at the current moment, obtaining the monitoring judgment result of the gearbox at the current moment, including:

[0129] The predicted fault shifting moment with the shortest time interval with the current moment among all predicted fault shifting moments of the gearbox within the preset time period before the current moment is regarded as the reference fault shifting moment of the gearbox at the current moment, and the predicted normal shifting moment with the shortest time interval with the current moment among all predicted normal shifting moments of the gearbox within the preset time period before the current moment is regarded as the reference normal shifting moment of the gearbox at the current moment;

[0130] Based on the reference fault shifting time and the reference normal shifting time of the gearbox at the current moment, the early warning judgment value of the gearbox at the current moment is obtained, which is:

[0131]

[0132] Among them, δ is the warning judgment value of the gearbox at the current moment, max ( α2,β2,γ 2) for ( α2, β2, γ2), α2 is the gearbox's gear-in performance evaluation value at the reference fault shifting moment at the current moment, β2 is the gearbox's gear-shifting impact evaluation value at the reference fault shifting moment at the current moment, γ2 is the gearbox's gear-shifting smoothness evaluation value at the reference fault shifting moment at the current moment, max ( α0,β0,γ 0) is (α0,β0,γ 0) , α0 is the mean value of the gear-entry performance evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment, β0 is the mean value of the gear-shift shock evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment, γ0 is the mean value of the gear-shift smoothness evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment, n1 is the number of all predicted normal gear shifting moments of the gearbox in the preset time period before the current moment, n2 is the number of all predicted faulty gear shifting moments of the gearbox in the preset time period before the current moment, α1 is the gear-entry performance evaluation value of the gearbox at the reference normal gear shifting moment at the current moment, β1 is the gear-shift shock evaluation value of the gearbox at the reference normal gear shifting moment at the current moment, γ1 is the gear-shift smoothness evaluation value of the gearbox at the reference normal gear shifting moment at the current moment, ln is the natural logarithm, and the value of the natural constant e is 2.718;

[0133] If the warning judgment value of the gearbox at the current moment is greater than the preset warning judgment threshold, a warning is required as the monitoring and judgment result of the gearbox at the current moment; otherwise, no warning is required as the monitoring and judgment result of the gearbox at the current moment.

[0134] In this embodiment, the preset early warning judgment threshold is a pre-set early warning judgment value threshold used to obtain the monitoring judgment result of the gearbox at the current moment.

[0135] The beneficial effects of the above technology are: based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, the early warning judgment value of the gearbox at the current moment is obtained, and it is possible to quantify whether the operation status of the gearbox at the current moment requires an early warning, and based on the early warning judgment value of the gearbox at the current moment, obtain the monitoring and judgment result of the gearbox at the current moment.

[0136] Embodiment 8:

[0137] Based on the embodiment 1, the engine transmission warning method, S5: based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the transmission at the current moment, obtaining the engine transmission warning result at the current moment, including:

[0138] When the monitoring judgment result of the engine or transmission at the current moment is that a warning is needed, the warning need is regarded as the engine transmission warning result at the current moment.

[0139] The beneficial effects of the above technology are: based on the monitoring and judgment results of the engine at the current moment and the monitoring and judgment results of the gearbox at the current moment, the engine gearbox warning results at the current moment are obtained, so that more comprehensive and accurate engine gearbox warning results can be obtained, which is conducive to timely detection of potential fault problems of the gearbox and the engine, thereby improving the reliability and safety of the equipment.

[0140] Embodiment 9:

[0141] The present invention provides an engine transmission warning system for executing any one of the engine transmission warning methods in embodiments 1 to 8, referring to Figure 2 ,include:

[0142] A first judgment module, used to obtain a monitoring judgment result of the engine at the current moment based on all types of monitoring parameters of the engine at each moment in a preset time period before the current moment;

[0143] An evaluation module, for obtaining a gear-entry performance evaluation value, a gear-shift impact evaluation value, and a gear-shift smoothness evaluation value of the gearbox at the current moment based on all gear-shift monitoring information of all gear-shift moments of the gearbox within a preset time period before the current moment;

[0144] an analysis module, for obtaining a characterization column matrix of each gear shifting moment of the gearbox within a preset time period before the current moment based on a gear entry performance evaluation value, a gear shift shock evaluation value, and a gear shift smoothness evaluation value of all gear shifting moments of the gearbox within a preset time period before the current moment, and obtaining all predicted faulty gear shifting moments and all predicted normal gear shifting moments of the gearbox within the preset time period before the current moment based on the characterization column matrix of all gear shifting moments of the gearbox within the preset time period before the current moment;

[0145] A second judgment module is used to obtain a warning judgment value of the gearbox at the current moment based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, and obtain a monitoring judgment result of the gearbox at the current moment based on the warning judgment value of the gearbox at the current moment;

[0146] The early warning module is used to obtain the engine and gearbox early warning result at the current moment based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the gearbox at the current moment.

[0147] The beneficial effects of the above technology are as follows: according to all the gear shift monitoring information of all the gear shifting moments of the gearbox in the preset time period before the current moment, the gear shifting performance evaluation value, the gear shifting impact evaluation value and the gear shifting smoothness evaluation value of the gearbox at the current moment are obtained, and the stability and efficiency of the gearbox in the gear shifting process at the current moment, the degree of abnormal impact and the degree of stability of power transmission are quantified respectively, and then the characterization column matrix of each gear shifting moment of the gearbox in the preset time period before the current moment is determined, which is convenient for the subsequent prediction of faulty gear shifting moments and the prediction of normal gear shifting moments. According to the characterization column matrix of all the gear shifting moments of the gearbox in the preset time period before the current moment, all the predicted faulty gear shifting moments and all the predicted normal gear shifting moments of the gearbox in the preset time period before the current moment are obtained. At this moment, it is realized to screen out the predicted gear shift moments with possible and non-faulty gearboxes from all gear shift moments in a preset time period before the current moment, and then obtain the early warning judgment value of the gearbox at the current moment, and obtain the monitoring judgment result of the gearbox at the current moment based on the early warning judgment value of the gearbox at the current moment, and then obtain the engine gearbox early warning result at the current moment based on the monitoring judgment result of the engine at the current moment and the monitoring judgment result of the gearbox at the current moment, and realize accurate quantification of whether the operation status of the gearbox at the current moment needs to be warned, and then realize obtaining more comprehensive and accurate engine gearbox early warning results, which is conducive to timely discovery of potential fault problems of the gearbox and the engine, thereby improving the reliability and safety of the equipment.

[0148] Embodiment 10:

[0149] The present invention provides an intelligent networked vehicle, which adopts the engine transmission warning system as described in Example 9.

[0150] The beneficial effects of the above technology are: the present invention provides an intelligent connected vehicle that can be used to obtain comprehensive and accurate engine and transmission warning results.

[0151] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention, and the present invention is also intended to include these changes and modifications.

Claims

1. An engine gearbox early warning method, characterized in that: include: S1: Based on all types of monitoring parameters of the engine at each moment in a preset time period before the current moment, obtain the monitoring judgment result of the engine at the current moment; S2: based on all the gear shift monitoring information of all the gear shifting moments of the gearbox within a preset time period before the current moment, obtaining the gear shifting performance evaluation value, the gear shifting impact evaluation value and the gear shifting smoothness evaluation value of the gearbox at the current moment; S3: based on the gear-entry performance evaluation values, gear-shift shock evaluation values, and gear-shift smoothness evaluation values ​​of all gear-shifting moments of the gearbox in the preset time period before the current moment, obtaining a characterization column matrix of each gear-shifting moment of the gearbox in the preset time period before the current moment, and based on the characterization column matrix of all gear-shifting moments of the gearbox in the preset time period before the current moment, obtaining all predicted faulty gear-shifting moments and all predicted normal gear-shifting moments of the gearbox in the preset time period before the current moment; S4: based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, obtaining a warning judgment value of the gearbox at the current moment, and based on the warning judgment value of the gearbox at the current moment, obtaining a monitoring judgment result of the gearbox at the current moment; S5: Based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the transmission at the current moment, obtain the engine transmission warning result at the current moment.

2. The engine transmission early warning method according to claim 1, characterized in that: S1: Based on all monitoring parameters of the engine at each moment in a preset time period before the current moment, obtain the monitoring judgment result of the engine at the current moment, including: Obtaining all types of monitoring parameters of the engine at each moment in a preset time period before the current moment, wherein all types of monitoring parameters include vibration monitoring parameters, oil pressure monitoring parameters, and coolant temperature monitoring parameters; The absolute value of the difference between the mean value of each type of monitoring parameter of the engine at all times within a preset time period before the current time and the corresponding type of monitoring parameter of the engine at the current time is regarded as the fluctuation difference of the corresponding type of monitoring parameter of the engine at the current time; The quotient between the fluctuation difference of each type of monitoring parameter of the engine at the current moment and the standard deviation of each type of monitoring parameter of the engine at all moments in a preset time period before the current moment is regarded as the early warning coefficient of the corresponding type of monitoring parameter of the engine at the current moment; Determine whether, among all types of monitoring parameters of the engine at the current moment, there is at least one type of monitoring parameter whose warning coefficient is greater than a preset value. If so, a warning is required as the monitoring judgment result of the engine at the current moment; otherwise, no warning is required as the monitoring judgment result of the engine at the current moment.

3. The engine transmission early warning method according to claim 1, characterized in that: S2: Based on all the gear shift monitoring information of all the gear shifting moments of the gearbox within a preset time period before the current moment, the gear shifting performance evaluation value, the gear shifting impact evaluation value and the gear shifting smoothness evaluation value of the gearbox at the current moment are obtained, including: The moment when the gearbox starts shifting in each gear shifting process within the preset time period before the current moment is regarded as the gear shifting moment of the gearbox within the preset time period before the current moment; Acquire all the gear shift monitoring information of all the gear shifting moments of the gearbox within a preset time period before the current moment, wherein all the gear shift monitoring information includes gear entry performance information, gear shift impact information and gear shift smoothness information, and the gear entry performance information includes a gear entry time value and a gear entry acceleration variable value, the gear shift impact information includes a vibration frequency value and a vibration variable value, and the gear shift smoothness information includes a gearbox speed value and a vehicle speed value; Based on all the gear shift monitoring information of all the gear shift moments in a preset time period before the current moment, the gear entry performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value of the gearbox at the current moment are obtained.

4. The engine transmission early warning method according to claim 3, characterized in that: Based on all the gear shift monitoring information of all the gear shifting moments of the gearbox within a preset time period before the current moment, the gear shifting performance evaluation value, the gear shifting impact evaluation value and the gear shifting smoothness evaluation value of the gearbox at the current moment are obtained, including: Based on all types of gear-entry performance information, all types of gear-shift impact information, and all types of gear-shift smoothness information of the gearbox at all gear-shift moments in a preset time period before the current moment, a fluctuation coefficient of all types of gear-entry performance information, a fluctuation coefficient of all types of gear-shift impact information, and a fluctuation coefficient of all types of gear-shift smoothness information of the gearbox at all gear-shift moments in a preset time period before the current moment are obtained; The sum of the fluctuation coefficients of all types of gear-entry performance information of the gearbox at each gear-shifting moment in the preset time period before the current moment is taken as the gear-entry performance evaluation value of the gearbox at the corresponding gear-shifting moment in the preset time period before the current moment, and the mean of the gear-entry performance evaluation values ​​of all gear-shifting moments in the preset time period before the current moment is taken as the gear-entry performance evaluation value of the gearbox at the current moment; The sum of the fluctuation coefficients of all types of gear shift shock information at each gear shifting moment of the gearbox in a preset time period before the current moment is taken as the gear shift shock evaluation value of the gearbox corresponding to the gear shifting moment in the preset time period before the current moment, and the average of the gear shift shock evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment is taken as the gear shift shock evaluation value of the gearbox at the current moment; If the fluctuation coefficients of all types of gear shift smoothness information of each gear shift moment of the gearbox within the preset time period before the current moment are not greater than the preset fluctuation coefficient threshold, the corresponding gear shift moment of the gearbox within the preset time period before the current moment will be regarded as the stable moment of the gearbox within the preset time period before the current moment, and the quotient between the number of all gear shift moments of the gearbox within the preset time period before the current moment and the number of all stable moments of the gearbox within the preset time period before the current moment will be regarded as the gear shift smoothness evaluation value of the gearbox at the current moment.

5. The engine transmission early warning method according to claim 1, characterized in that: Based on the gear-entry performance evaluation values, gear-shift impact evaluation values, and gear-shift smoothness evaluation values ​​of all gear-shifting moments of the gearbox in a preset time period before the current moment, a characterization column matrix of each gear-shifting moment of the gearbox in a preset time period before the current moment is obtained, including: Obtaining all types of evaluation values ​​of all gear shifting moments of the gearbox within a preset time period before the current moment, wherein all types of evaluation values ​​include gear entry performance evaluation value, gear shift impact evaluation value and gear shift smoothness evaluation value; The quotient between each type of evaluation value of each gear shifting moment of the gearbox in the preset time period before the current moment and the average of the corresponding type evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment is used as the ranking degree of the corresponding type evaluation value of the gearbox corresponding to the gear shifting moment in the preset time period before the current moment; Sorting all the class evaluation values ​​of each gear shifting moment of the gearbox within a preset time period before the current moment in descending order of the sorting degree, obtaining the sorting result of all the class evaluation values ​​of each gear shifting moment of the gearbox within the preset time period before the current moment, and based on the sorting result of all the class evaluation values ​​of each gear shifting moment of the gearbox within the preset time period before the current moment, obtaining the first class evaluation value, the second class evaluation value and the third class evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment; Based on the first evaluation value, the second evaluation value and the third evaluation value of each gear shifting moment of the gearbox in the preset time period before the current moment, a characterization column matrix corresponding to the gear shifting moment of the gearbox in the preset time period before the current moment is obtained.

6. The engine transmission early warning method according to claim 5, characterized in that: Based on the characterization column matrix of all gear shifting moments of the gearbox in a preset time period before the current moment, all predicted fault gear shifting moments and all predicted normal gear shifting moments of the gearbox in the preset time period before the current moment are obtained, including: The mean of each type of evaluation value of all gear shifting moments of the gearbox within the preset time period before the current moment is regarded as the constructed mean of the corresponding type of evaluation value of the gearbox within the preset time period before the current moment, and the constructed mean corresponding to the first type of evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the first matrix element of the gearbox corresponding to the gear shifting moment within the preset time period before the current moment, the constructed mean corresponding to the second type of evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the second matrix element of the gearbox corresponding to the gear shifting moment within the preset time period before the current moment, and the constructed mean corresponding to the third type of evaluation value of each gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the third matrix element of the gearbox corresponding to the gear shifting moment within the preset time period before the current moment; Based on the first matrix element, the second matrix element and the third matrix element of each gear shifting moment of the gearbox in the preset time period before the current moment, a characterization row matrix corresponding to the gear shifting moment of the gearbox in the preset time period before the current moment is obtained, and the characterization column matrix and the characterization row matrix of each gear shifting moment of the gearbox in the preset time period before the current moment are matrix-multiplied to obtain a prediction determination matrix of each gear shifting moment of the gearbox in the preset time period before the current moment; If the spectral radius of the prediction decision matrix of each gear shifting moment of the gearbox within the preset time period before the current moment is greater than the preset spectral radius threshold, the corresponding gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the predicted faulty gear shifting moment; otherwise, the corresponding gear shifting moment of the gearbox within the preset time period before the current moment is regarded as the predicted normal gear shifting moment.

7. The engine transmission early warning method according to claim 4, characterized in that: S4: Based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, obtain a warning judgment value of the gearbox at the current moment, and based on the warning judgment value of the gearbox at the current moment, obtain a monitoring judgment result of the gearbox at the current moment, including: The predicted fault shifting moment with the shortest time interval with the current moment among all predicted fault shifting moments of the gearbox within the preset time period before the current moment is regarded as the reference fault shifting moment of the gearbox at the current moment, and the predicted normal shifting moment with the shortest time interval with the current moment among all predicted normal shifting moments of the gearbox within the preset time period before the current moment is regarded as the reference normal shifting moment of the gearbox at the current moment; Based on the reference fault shifting time and the reference normal shifting time of the gearbox at the current moment, the early warning judgment value of the gearbox at the current moment is obtained, which is: Among them, δ is the warning judgment value of the gearbox at the current moment, max ( α2,β2,γ 2) for * The maximum value among α2, β2, and γ2, where α2 is the gearbox's gear-entry performance evaluation value at the reference fault gearshift moment at the current moment, β2 is the gearshift shock evaluation value at the reference fault gearshift moment at the current moment, and γ2 is the gearshift smoothness evaluation value at the reference fault gearshift moment at the current moment. ( α0,β0,γ 0) is α0, β0, γ 0) , α0 is the mean value of the gear-entry performance evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment, β0 is the mean value of the gear-shift shock evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment, γ0 is the mean value of the gear-shift smoothness evaluation values ​​of all gear shifting moments of the gearbox in the preset time period before the current moment, n1 is the number of all predicted normal gear shifting moments of the gearbox in the preset time period before the current moment, n2 is the number of all predicted faulty gear shifting moments of the gearbox in the preset time period before the current moment, α1 is the gear-entry performance evaluation value of the gearbox at the reference normal gear shifting moment at the current moment, β1 is the gear-shift shock evaluation value of the gearbox at the reference normal gear shifting moment at the current moment, γ1 is the gear-shift smoothness evaluation value of the gearbox at the reference normal gear shifting moment at the current moment, ln is the natural logarithm, and the value of the natural constant e is 2.718; If the warning judgment value of the gearbox at the current moment is greater than the preset warning judgment threshold, a warning is required as the monitoring and judgment result of the gearbox at the current moment; otherwise, no warning is required as the monitoring and judgment result of the gearbox at the current moment.

8. The engine transmission early warning method according to claim 1, characterized in that: S5: Based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the gearbox at the current moment, obtaining the engine gearbox warning result at the current moment, including: When the monitoring judgment result of the engine or transmission at the current moment is that a warning is needed, the warning need is regarded as the engine transmission warning result at the current moment.

9. An engine transmission warning system, characterized in that: An engine transmission early warning method for executing any one of claims 1 to 8, comprising: A first judgment module, used to obtain a monitoring judgment result of the engine at the current moment based on all types of monitoring parameters of the engine at each moment in a preset time period before the current moment; An evaluation module, for obtaining a gear-entry performance evaluation value, a gear-shift impact evaluation value, and a gear-shift smoothness evaluation value of the gearbox at the current moment based on all gear-shift monitoring information of all gear-shift moments of the gearbox within a preset time period before the current moment; an analysis module, for obtaining a characterization column matrix of each gear shifting moment of the gearbox within a preset time period before the current moment based on a gear entry performance evaluation value, a gear shift shock evaluation value, and a gear shift smoothness evaluation value of all gear shifting moments of the gearbox within a preset time period before the current moment, and obtaining all predicted faulty gear shifting moments and all predicted normal gear shifting moments of the gearbox within the preset time period before the current moment based on the characterization column matrix of all gear shifting moments of the gearbox within the preset time period before the current moment; A second judgment module is used to obtain a warning judgment value of the gearbox at the current moment based on all predicted fault shifting moments and all predicted normal shifting moments of the gearbox within a preset time period before the current moment, and obtain a monitoring judgment result of the gearbox at the current moment based on the warning judgment value of the gearbox at the current moment; The early warning module is used to obtain the engine and gearbox early warning result at the current moment based on the monitoring and judgment result of the engine at the current moment and the monitoring and judgment result of the gearbox at the current moment.

10. An intelligent network-connected vehicle, characterized in that: An engine transmission warning system as claimed in claim 9 is adopted.

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