Intelligent monitoring method for engine overpressure

Abstract

This invention discloses an intelligent monitoring method for engine overpressure, relating to the field of engine monitoring. It addresses the technical problem of existing engine monitoring technologies, which, by using a uniform judgment standard for all environments, are prone to false alarms in either plains or non-plains environments. The method involves acquiring standard data for overpressure risk points, and based on this standard data, setting plains environment access conditions, non-plains environment access conditions, continuous recording requirements, and both plains and non-plains environment access requirements. If the plains environment access requirements and continuous recording requirements are met, a NOx learning value is recorded, and a plains environment overpressure judgment strategy is triggered based on this NOx learning value. Similarly, if the non-plains environment access requirements and continuous recording requirements are met, a NOx learning value is recorded, and a non-plains environment overpressure judgment strategy is triggered based on this NOx learning value. This invention significantly improves the accuracy of engine overpressure monitoring under different altitudes, air pressures, and temperatures.

Description

Technical Field

[0001] This invention relates to the field of engine monitoring, and more specifically, to an intelligent monitoring method for engine explosion pressure. Background Technology

[0002] As engine technology iterates and upgrades towards higher power, higher compression ratios, and lower emissions, its operating conditions become increasingly complex. Especially under varying altitudes and ambient temperatures, the combustion state of engines fluctuates significantly, and the triggering conditions for abnormal engine pressure exhibit clear environmental correlations. Currently, most existing engine pressure monitoring technologies employ a single, fixed threshold judgment mode, failing to fully consider the impact of environmental factors (such as pressure and temperature differences between plains and non-plains) on pressure judgment. This results in problems such as low monitoring accuracy, high false alarm rates, and poor adaptability.

[0003] Specifically, in plains environments, the air pressure is higher and the temperature is relatively stable, resulting in a smoother engine combustion process. The triggering of engine knock pressure anomalies is mainly related to deviations in the engine's own operating parameters (such as engine speed, fuel quantity, timing, and rail pressure). In contrast, in non-plain environments (such as plateaus and mountains), the air pressure is lower and the temperature fluctuates more significantly, directly affecting fuel atomization and combustion efficiency. This leads to a significant difference in the logic for judging knock pressure anomalies compared to plains environments. Existing monitoring methods do not differentiate between these two types of environments, employing a uniform judgment standard. This often results in missed detections in plains environments and false alarms in non-plains environments, failing to meet the engine knock pressure monitoring needs across all scenarios. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent monitoring method for engine explosion pressure in order to address the shortcomings of the existing technology, and to solve the technical problem that the existing engine monitoring technology, which uses a unified judgment standard, is prone to false alarms in plain or non-plain environments.

[0005] The intelligent engine overpressure monitoring method of this invention acquires standard data of overpressure risk operating conditions, sets plain environment access conditions, non-plain environment access conditions, continuous recording requirements, plain environment access requirements and non-plain environment access requirements based on the standard data, determines whether the plain environment access conditions meet the plain environment access requirements, and if they do, determines whether they meet the continuous recording requirements; if they do, records the NOx learning value, and triggers a plain environment overpressure judgment strategy based on the NOx learning value.

[0006] Determine whether the non-plain environment access conditions meet the non-plain environment access requirements. If the non-plain environment access requirements are met, determine whether the non-plain environment access conditions meet the continuous recording requirements. If the continuous recording requirements are met, record the NOx learning value and trigger the non-plain environment burst pressure judgment strategy based on the NOx learning value.

[0007] As a further improvement, the method for setting plain environment access conditions based on the aforementioned standard data is as follows: The standard data includes oil quantity deviation, speed deviation, timing deviation, rail pressure deviation, ambient pressure, and ambient temperature; Set a first speed deviation threshold, a first oil quantity deviation threshold, a timing deviation threshold, a rail pressure deviation threshold, an ambient pressure threshold, and a first ambient temperature standard range. Compare the speed deviation with the first speed deviation threshold, the oil quantity deviation with the first oil quantity deviation threshold, the timing deviation with the timing deviation threshold, the rail pressure deviation with the rail pressure deviation threshold, the ambient pressure with the ambient pressure threshold, and the ambient temperature with the first ambient temperature standard range. The plain environment access conditions include whether the speed deviation is less than a first speed deviation threshold, whether the oil quantity deviation is less than a first oil quantity deviation threshold, whether the timing deviation is less than a timing deviation threshold, whether the rail pressure deviation is less than a rail pressure deviation threshold, whether the ambient pressure is greater than an ambient pressure threshold, whether the ambient temperature is within a first ambient temperature standard range, and whether the ambient temperature is within a second ambient temperature standard range.

[0008] Furthermore, the aforementioned plain environment access requirements are as follows: The rotational speed deviation is less than the first rotational speed deviation threshold, the oil quantity deviation is less than the first oil quantity deviation threshold, the timing deviation is less than the timing deviation threshold, the rail pressure deviation is less than the rail pressure deviation threshold, the ambient pressure is greater than the ambient pressure threshold, and the ambient temperature is within the first ambient temperature standard range.

[0009] Furthermore, the method for setting access conditions for non-plain environments based on the aforementioned standard data is as follows: Set an environmental pressure standard range and a second environmental temperature standard range to obtain the engine's operating status; compare the speed deviation with a first speed deviation threshold, compare the fuel quantity deviation with a first fuel quantity deviation threshold, compare the environmental pressure with the environmental pressure standard range, and compare the environmental temperature with the second environmental temperature standard range. The non-plain environment access conditions include whether the engine is in normal combustion mode, whether the speed deviation is less than a first speed deviation threshold, whether the fuel quantity deviation is less than a first fuel quantity deviation threshold, whether the environmental pressure is within the environmental pressure standard range, and whether the environmental temperature is within the second environmental temperature standard range.

[0010] Furthermore, according to the aforementioned non-plain environment access requirements, The engine is operating in normal combustion mode with a speed deviation less than the first speed deviation threshold, a fuel quantity deviation less than the first fuel quantity deviation threshold, an ambient pressure within the standard ambient pressure range, and an ambient temperature within the second standard ambient temperature range.

[0011] Furthermore, the method for setting continuous recording requirements based on the aforementioned standard data involves setting a duration, a second speed deviation threshold, and a second oil quantity deviation threshold. The speed deviation is compared with a second speed deviation threshold, and the oil quantity deviation is compared with a second oil quantity deviation threshold. The continuous recording requirement is that the speed deviation is less than the second speed deviation threshold and the oil quantity deviation is less than the second oil quantity deviation threshold during the specified duration.

[0012] Furthermore, the explosion pressure judgment strategy in the plain environment is to set the NOx concentration at the standard operating point and the NOx concentration difference threshold at the standard operating point, and to obtain the first NOx concentration difference by subtracting the NOx concentration at the standard operating point from the NOx learning value. The first NOx concentration difference is compared with the NOx concentration difference threshold of the standard operating point. When the first NOx concentration difference is less than the NOx concentration difference threshold of the standard operating point, the engine is determined to be in normal condition. When the first NOx concentration difference is greater than or equal to the NOx concentration difference threshold of the standard operating point, the engine is determined to be abnormal and an over-explosion pressure alarm is triggered.

[0013] Furthermore, the explosion pressure judgment strategy for non-plain environments is to set a threshold for the difference between the NOx concentration at non-standard operating points and the NOx concentration at non-standard operating points, and to obtain a second NOx concentration difference by subtracting the NOx concentration at the non-standard operating points from the NOx learning value. The second NOx concentration difference is compared with the NOx concentration difference threshold of the non-standard operating point. When the second NOx concentration difference is less than the NOx concentration difference threshold of the non-standard operating point, the engine is determined to be in normal condition. When the second NOx concentration difference is greater than or equal to the NOx concentration difference threshold of the non-standard operating point, the engine is determined to be abnormal and an over-pressure alarm is triggered.

[0014] Furthermore, a sampling time is set. Once the plain environment access conditions meet the plain environment access requirements or the non-plain environment access conditions meet the non-plain environment access requirements, the average value of all standard data within the sampling time is recorded, and the average value is used as the NOx learning value.

[0015] Beneficial effects The advantages of this invention are: This invention acquires standard data for overpressure risk conditions and sets plains access conditions, non-plains access conditions, continuous recording requirements, plains environment access requirements, and non-plains environment access requirements based on the standard data. Plains environment overpressure judgment strategies are triggered based on the plains access conditions, continuous recording requirements, and plains environment requirements; non-plains environment overpressure judgment strategies are triggered based on the non-plains access conditions, continuous recording requirements, and non-plains environment requirements. This avoids misjudgments and omissions caused by using a uniform judgment standard, significantly improving the accuracy of engine overpressure monitoring under different altitudes, air pressures, and temperatures. Access conditions are set by comprehensively considering multiple dimensions such as engine speed deviation, fuel quantity deviation, timing deviation, rail pressure deviation, ambient pressure, and ambient temperature. The overpressure judgment process is only initiated when the engine operating state is stable and environmental parameters are reasonable, eliminating interference from abnormal operating conditions and ensuring the authenticity and validity of the basic monitoring data. Attached Figure Description

[0016] Figure 1 This is a flowchart of the intelligent monitoring method for engine explosion pressure according to the present invention. Detailed Implementation

[0017] The present invention will be further described below with reference to embodiments, but this does not constitute any limitation on the present invention. Any limited modifications made by any person within the scope of the claims of the present invention are still within the scope of the claims of the present invention.

[0018] See Figure 1 The present invention provides an intelligent monitoring method for engine over-explosion pressure, which involves acquiring standard data of over-explosion pressure risk conditions, and setting plain environment access conditions, non-plain environment access conditions, continuous recording requirements, plain environment access requirements, and non-plain environment access requirements based on the standard data.

[0019] Standard data includes real-time fuel quantity, real-time engine speed, timing deviation, actual rail pressure, ambient pressure, and ambient temperature. Target speed, target fuel quantity, and target rail pressure are set. The speed deviation is obtained by subtracting the target speed from the real-time speed, the fuel quantity deviation is obtained by subtracting the target fuel quantity from the real-time fuel quantity, and the rail pressure deviation is obtained by subtracting the actual rail pressure from the target rail pressure.

[0020] The system sets entry conditions based on multiple parameters, including engine speed deviation, fuel quantity deviation, timing deviation, rail pressure deviation, ambient pressure, and ambient temperature. It only enters the overpressure judgment process when the engine is running stably and the environmental parameters are reasonable, thus eliminating interference from abnormal operating conditions and ensuring the authenticity and effectiveness of the basic monitoring data.

[0021] The engine obtains operating condition information such as engine speed, torque, combustion mode (CoEOM_stOpModeAct), fuel quantity, timing, and rail pressure from the ECU, and simultaneously collects core data such as NOx concentration and ambient pressure / temperature. Real-time verification of NOx sensor operating status and filtering of invalid data: NOx concentration ≥3000ppm is directly determined as invalid, and <3000ppm is determined as valid data after 5 seconds. Only valid data is included in the diagnosis. The collected parameters such as pressure, temperature, rail pressure, and NOx concentration are filtered and environmentally corrected to eliminate signal interference, ensure parameter accuracy, and provide reliable data support for burst pressure diagnosis. The data is categorized and labeled according to the engine working cycle (power on-start-operation-power off-power) to ensure the logical requirement of "two different cycles for two operations" during the self-learning and diagnosis process.

[0022] Diagnostic core premise The NOx sensor is functioning correctly and is in normal working condition.

[0023] The engine is in normal combustion mode.

[0024] All NOx data included in the diagnosis were valid (<3000ppm and lasted for 5 seconds).

[0025] Set a first speed deviation threshold, a first oil quantity deviation threshold, a timing deviation threshold, a rail pressure deviation threshold, an ambient pressure threshold, and a first ambient temperature standard range. Compare the speed deviation with the first speed deviation threshold, the oil quantity deviation with the first oil quantity deviation threshold, the timing deviation with the timing deviation threshold, the rail pressure deviation with the rail pressure deviation threshold, the ambient pressure with the ambient pressure threshold, and the ambient temperature with the first ambient temperature standard range.

[0026] In this embodiment, the first speed deviation threshold is 10 r / min, the first oil quantity deviation threshold is 1.5 mg / str, the timing deviation threshold is 0.5°, the rail pressure deviation threshold is 50000 hPa, the ambient pressure threshold is 950 hPa, and the first ambient temperature standard range is 15℃~35℃.

[0027] The plain environment access conditions include whether the speed deviation is less than the first speed deviation threshold, whether the oil quantity deviation is less than the first oil quantity deviation threshold, whether the timing deviation is less than the timing deviation threshold, whether the rail pressure deviation is less than the rail pressure deviation threshold, whether the ambient pressure is greater than the ambient pressure threshold, whether the ambient temperature is within the first ambient temperature standard range, and whether the ambient temperature is within the second ambient temperature standard range.

[0028] The requirements for access to the plain environment are as follows: the speed deviation is less than the first speed deviation threshold, the oil quantity deviation is less than the first oil quantity deviation threshold, the timing deviation is less than the timing deviation threshold, the rail pressure deviation is less than the rail pressure deviation threshold, the ambient pressure is greater than the ambient pressure threshold, and the ambient temperature is within the first ambient temperature standard range.

[0029] The method for setting access conditions for non-plain environments based on standard data is as follows: the standard data includes fuel quantity deviation, speed deviation, timing deviation, rail pressure deviation, ambient pressure, and ambient temperature.

[0030] Set the environmental pressure standard range and the second environmental temperature standard range to obtain the engine's operating status; compare the speed deviation with the first speed deviation threshold, compare the fuel quantity deviation with the first fuel quantity deviation threshold, compare the environmental pressure with the environmental pressure standard range, and compare the environmental temperature with the second environmental temperature standard range.

[0031] In this embodiment, the standard range of environmental pressure is 800±10hPa, and the standard range of the second environmental temperature is 15℃~35℃.

[0032] Non-plain environment access conditions include whether the engine is operating in normal combustion mode, whether the speed deviation is less than the first speed deviation threshold, whether the fuel quantity deviation is less than the first fuel quantity deviation threshold, whether the ambient pressure is within the standard range of ambient pressure, and whether the ambient temperature is within the standard range of ambient temperature.

[0033] The non-plain environment access requirements are as follows: the engine is operating in normal combustion mode and the speed deviation is less than the first speed deviation threshold and the fuel quantity deviation is less than the first fuel quantity deviation threshold, the ambient pressure is within the standard range of ambient pressure and the ambient temperature is within the standard range of ambient temperature.

[0034] The method for setting continuous recording requirements based on standard data involves setting a duration, a second speed deviation threshold, and a second fuel quantity deviation threshold. The speed deviation is compared to the second speed deviation threshold, and the fuel quantity deviation is compared to the second fuel quantity deviation threshold. The continuous recording requirement is that within the specified duration, both the speed deviation and the fuel quantity deviation must be less than the second speed deviation threshold. In this embodiment, the duration is 5 seconds, the second speed deviation threshold is 50 r / min, and the second fuel quantity deviation threshold is 5 mg / str.

[0035] Determine whether the plain environment access conditions meet the plain environment access requirements. If the plain environment access requirements are met, determine whether the plain environment access conditions meet the continuous recording requirements. If the continuous recording requirements are met, record the NOx learning value and trigger the plain environment burst pressure judgment strategy based on the NOx learning value.

[0036] Set a sampling time. Once the plain environment access conditions meet the plain environment access requirements or the non-plain environment access conditions meet the non-plain environment access requirements, record the average value of all standard data within the sampling time and use the average value as the NOx learning value.

[0037] The explosion pressure judgment strategy in plain environment is to set the NOx concentration at the standard operating point and the threshold of the difference between the NOx concentration at the standard operating point, and to obtain the first NOx concentration difference by subtracting the NOx concentration at the standard operating point from the NOx learning value. The first NOx concentration difference is compared with the NOx concentration difference threshold of the standard operating point. When the first NOx concentration difference is less than the NOx concentration difference threshold of the standard operating point, the engine is determined to be in normal condition, and this NOx learning value is recorded as the first correct learning value. When the first NOx concentration difference is greater than or equal to the NOx concentration difference threshold of the standard operating point, the engine is determined to be abnormal, and an over-pressure alarm is triggered. In this embodiment, the NOx concentration difference threshold of the standard operating point is 400 pm.

[0038] After five first correct learning values ​​are accumulated for any operating condition, the maximum and minimum values ​​among the first five correct learning values ​​are removed. The average value of the remaining three first correct learning values ​​is calculated, and the average value of the first correct learning values ​​is taken as the final NOx learning value for that operating condition, and then the continuous monitoring phase begins.

[0039] The continuous monitoring phase is the same as the steps above. After the plain environment access requirements are met, the NOx diagnostic value is recorded. The final difference is obtained by subtracting the NOx diagnostic value from the final NOx learning value. When the final difference is greater than or equal to the NOx concentration difference threshold of the standard operating point, the engine is judged to be abnormal and an over-explosion pressure alarm is issued; otherwise, it indicates that the engine is in normal condition.

[0040] When the non-plain environment access conditions are met, the NOx learning value is recorded, and the non-plain environment explosion pressure judgment strategy is triggered based on the NOx learning value.

[0041] The explosion pressure judgment strategy in non-plain environments is to set a threshold for the difference between the NOx concentration at non-standard operating points and the NOx concentration at non-standard operating points, and then obtain the second NOx concentration difference by subtracting the NOx concentration at the non-standard operating points from the NOx learning value.

[0042] The second NOx concentration difference is compared with the NOx concentration difference threshold of the non-standard operating point. If the second NOx concentration difference is less than the NOx concentration difference threshold of the non-standard operating point, the engine is determined to be in normal condition, and this NOx learning value is used as the second correct learning value. If the second NOx concentration difference is greater than or equal to the NOx concentration difference threshold of the non-standard operating point, the engine is determined to be abnormal, and an over-pressure alarm is triggered. In this embodiment, the NOx concentration difference threshold of the non-standard operating point is 400 pm.

[0043] After five second correct learning values ​​have been accumulated for any operating condition, the maximum and minimum values ​​among the second and fifth correct learning values ​​are removed. The average value of the remaining three second correct learning values ​​is calculated and used as the non-standard final NOx learning value for that operating condition, and then the continuous monitoring phase begins.

[0044] The continuous monitoring phase is the same as the steps above. After the non-plain environment access requirements are met, the NOx diagnostic value is recorded. The final difference is obtained by subtracting the NOx diagnostic value from the non-standard final NOx learning value. When the final difference is greater than or equal to the NOx concentration difference threshold of the non-standard operating point, the engine is judged to be abnormal and an over-explosion pressure alarm is issued; otherwise, it indicates that the engine is in normal condition.

[0045] This avoids misjudgments and omissions caused by using a uniform judgment standard, and significantly improves the accuracy of engine pressure monitoring under different altitudes, air pressures and temperatures.

[0046] Diagnosis is conducted based on a non-standard environmental benchmark NOx concentration comparison table. The process is the same as that of the plain standard environment, except that the access conditions and benchmark values ​​are retrieved differently. The core deviation threshold remains 400 ppm.

[0047] A reference table for NOx concentration in non-standard environments was established, grouped by rail pressure and ambient temperature in a two-dimensional manner, dividing the non-standard environment into multiple slices, and establishing a reference operating point table for each slice: Rail pressure group: 580±10hPa, 610±10hPa, 660±10hPa, 730±10hPa, 770±10hPa, 800±10hPa, 860±10hPa; Ambient temperature group: below -10℃, -10~15℃, 15~35℃, above 35℃; Based on the existing big data of Y25 second generation, the NOx concentration of the corresponding operating point under each rail pressure-ambient temperature group was matched and filled into the reference table as the benchmark value for non-standard environment diagnosis.

[0048] Prototype Development and Algorithm Verification: Complete the design and integration of each hardware module, write a dual-mode diagnostic algorithm for plain / non-standard systems, and focus on verifying the logic for NOx data validity determination, learning / diagnostic value calculation, and deviation threshold determination to ensure algorithm accuracy.

[0049] Baseline data construction: Based on Y25 second-generation big data, non-standard environment rail pressure-ambient temperature dual-dimensional grouping was completed, a non-standard environment benchmark NOx concentration comparison table was established and improved, and the data was entered into the terminal local storage and cloud platform.

[0050] Bench and vehicle testing: Bench tests and vehicle road tests were conducted in standard plain environments and various types of non-standard environments (different rail pressures, ambient temperatures, and altitudes) to verify the accuracy of equipment data acquisition, the accuracy of diagnostic logic, the timeliness of alarms, and to optimize algorithm parameters.

[0051] Cloud platform integration: Complete cloud data integration with vehicle owner APP, manufacturer TSP platform, and service station management system to achieve real-time synchronization and multi-terminal push of diagnostic data, alarm information, and fault work orders.

[0052] Firmware optimization and mass production: Optimize the device firmware based on test results, improve local storage, communication and diagnostic functions; complete the mass production certification of the device, and gradually promote it to all vehicle models as a standard or optional part.

[0053] Big data iterative upgrade: Relying on full-scenario diagnostic data uploaded by terminals, we continuously iterate and optimize the NOx concentration comparison table for non-standard environments to improve the adaptability and accuracy of dual-mode diagnostic logic.

[0054] The above description is only a preferred embodiment of the present invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention, and these will not affect the effectiveness of the implementation of the present invention or the practicality of the patent.

Claims

1. An intelligent monitoring method for engine explosion pressure, characterized in that, The method involves acquiring standard data for overpressure risk conditions, setting plain environment access conditions, non-plain environment access conditions, continuous recording requirements, and plain environment access requirements and non-plain environment access requirements based on the standard data, determining whether the plain environment access conditions meet the plain environment access requirements, and if they do, determining whether they meet the continuous recording requirements; if they do, recording the NOx learning value, and triggering a plain environment overpressure judgment strategy based on the NOx learning value. Determine whether the non-plain environment access conditions meet the non-plain environment access requirements. If the non-plain environment access requirements are met, determine whether the non-plain environment access conditions meet the continuous recording requirements. If the continuous recording requirements are met, record the NOx learning value and trigger the non-plain environment burst pressure judgment strategy based on the NOx learning value.

2. The engine burst pressure intelligent monitoring method of claim 1, wherein, The method for setting plain environment access conditions based on the aforementioned standard data is as follows: The standard data includes oil quantity deviation, speed deviation, timing deviation, rail pressure deviation, ambient pressure, and ambient temperature; Set a first speed deviation threshold, a first oil quantity deviation threshold, a timing deviation threshold, a rail pressure deviation threshold, an ambient pressure threshold, and a first ambient temperature standard range. Compare the speed deviation with the first speed deviation threshold, the oil quantity deviation with the first oil quantity deviation threshold, the timing deviation with the timing deviation threshold, the rail pressure deviation with the rail pressure deviation threshold, the ambient pressure with the ambient pressure threshold, and the ambient temperature with the first ambient temperature standard range. The plain environment access conditions include whether the speed deviation is less than a first speed deviation threshold, whether the oil quantity deviation is less than a first oil quantity deviation threshold, whether the timing deviation is less than a timing deviation threshold, whether the rail pressure deviation is less than a rail pressure deviation threshold, whether the ambient pressure is greater than an ambient pressure threshold, whether the ambient temperature is within a first ambient temperature standard range, and whether the ambient temperature is within a second ambient temperature standard range.

3. The method of claim 2, wherein, The environmental access requirements for the plains are as follows: The rotational speed deviation is less than the first rotational speed deviation threshold, the oil quantity deviation is less than the first oil quantity deviation threshold, the timing deviation is less than the timing deviation threshold, the rail pressure deviation is less than the rail pressure deviation threshold, the ambient pressure is greater than the ambient pressure threshold, and the ambient temperature is within the first ambient temperature standard range.

4. The method of claim 2, wherein, The method for setting access conditions for non-plain environments based on the aforementioned standard data is as follows: Set an environmental pressure standard range and a second environmental temperature standard range to obtain the engine's operating status; compare the speed deviation with a first speed deviation threshold, compare the fuel quantity deviation with a first fuel quantity deviation threshold, compare the environmental pressure with the environmental pressure standard range, and compare the environmental temperature with the second environmental temperature standard range. The non-plain environment access conditions include whether the engine is in normal combustion mode, whether the speed deviation is less than a first speed deviation threshold, whether the fuel quantity deviation is less than a first fuel quantity deviation threshold, whether the environmental pressure is within the environmental pressure standard range, and whether the environmental temperature is within the second environmental temperature standard range.

5. The method of claim 4, wherein, According to the aforementioned non-plain environment access requirements, The engine is operating in normal combustion mode with a speed deviation less than the first speed deviation threshold, a fuel quantity deviation less than the first fuel quantity deviation threshold, an ambient pressure within the standard ambient pressure range, and an ambient temperature within the second standard ambient temperature range.

6. The intelligent monitoring method for engine explosion pressure according to claim 2, characterized in that, The method for setting continuous recording requirements based on the standard data is as follows: setting the duration, the second speed deviation threshold, and the second oil quantity deviation threshold. The speed deviation is compared with a second speed deviation threshold, and the oil quantity deviation is compared with a second oil quantity deviation threshold. The continuous recording requirement is that the speed deviation is less than the second speed deviation threshold and the oil quantity deviation is less than the second oil quantity deviation threshold during the specified duration.

7. The intelligent monitoring method for engine explosion pressure according to claim 1, characterized in that, The explosion pressure judgment strategy in the plain environment is to set the NOx concentration at the standard operating point and the NOx concentration difference threshold at the standard operating point, and to obtain the first NOx concentration difference by subtracting the NOx concentration at the standard operating point from the NOx learning value. The first NOx concentration difference is compared with the NOx concentration difference threshold of the standard operating point. When the first NOx concentration difference is less than the NOx concentration difference threshold of the standard operating point, the engine is determined to be in normal condition. When the first NOx concentration difference is greater than or equal to the NOx concentration difference threshold of the standard operating point, the engine is determined to be abnormal and an over-explosion pressure alarm is triggered.

8. The intelligent monitoring method for engine explosion pressure according to claim 1, characterized in that, The explosion pressure judgment strategy for non-plain environments is to set a threshold for the difference between the NOx concentration at non-standard operating points and the NOx concentration at non-standard operating points, and to obtain a second NOx concentration difference by subtracting the NOx concentration at the non-standard operating points from the NOx learning value. The second NOx concentration difference is compared with the NOx concentration difference threshold of the non-standard operating point. When the second NOx concentration difference is less than the NOx concentration difference threshold of the non-standard operating point, the engine is determined to be in normal condition. When the second NOx concentration difference is greater than or equal to the NOx concentration difference threshold of the non-standard operating point, the engine is determined to be abnormal and an over-pressure alarm is triggered.

9. The intelligent monitoring method for engine explosion pressure according to claim 1, characterized in that, Set a sampling time. Once the plain environment access conditions meet the plain environment access requirements or the non-plain environment access conditions meet the non-plain environment access requirements, record the average value of all standard data within the sampling time and use the average value as the NOx learning value.

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