CN117189325A - SCR system fault detection method and device and electronic equipment - Google Patents

SCR system fault detection method and device and electronic equipment Download PDF

Info

Publication number
CN117189325A
CN117189325A CN202311258025.7A CN202311258025A CN117189325A CN 117189325 A CN117189325 A CN 117189325A CN 202311258025 A CN202311258025 A CN 202311258025A CN 117189325 A CN117189325 A CN 117189325A
Authority
CN
China
Prior art keywords
consumption
urea
determining
quality
consumption quality
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311258025.7A
Other languages
Chinese (zh)
Inventor
解家报
辛喜成
孙选建
杜伟康
郑志磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Weichai Power Co Ltd
Original Assignee
Weichai Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Weichai Power Co Ltd filed Critical Weichai Power Co Ltd
Priority to CN202311258025.7A priority Critical patent/CN117189325A/en
Publication of CN117189325A publication Critical patent/CN117189325A/en
Pending legal-status Critical Current

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems

Landscapes

  • Exhaust Gas After Treatment (AREA)

Abstract

The application discloses a method and a device for detecting faults of an SCR (selective catalytic reduction) system and electronic equipment, wherein the method comprises the following steps: determining a consumption volume of urea within a preset time period based on a urea tank level sensor; determining a first consumption mass of urea within a preset time period based on a consumption volume and a preset density value of urea; determining a second consumption quality of urea based on the urea injection quantity of the urea nozzle in a preset time period; determining a third consumption quality of urea based on upstream and downstream nitrogen oxide consumption monitored by the nitrogen oxide sensor over a preset period of time; determining whether a fault consumption quality exists in the first consumption quality, the second consumption quality and the third consumption quality; if the first consumption quality is failure consumption quality, determining that the urea tank liquid level sensor fails, and if the second consumption quality or the third consumption quality is failure consumption quality, determining that the urea nozzle fails, the application improves the failure self-checking accuracy of the SCR system, accurately locates the failure, and facilitates the troubleshooting and maintenance.

Description

SCR system fault detection method and device and electronic equipment
Technical Field
The application relates to the technical field of diesel engine aftertreatment, in particular to a fault detection method and device for an SCR (selective catalytic reduction) system and electronic equipment.
Background
At present, each part in the selective catalytic reduction (Selective Catalytic Reduction, SCR) system can only perform fault diagnosis according to the feedback signals of the corresponding part, and when the signal measurement deviates, fault misinformation is easy to occur, for example: if the urea box liquid level sensor is stuck, the urea box liquid level sensor displays low liquid level, the actual urea box liquid level is not low, and the fault misjudgment condition frequently occurs in the current fault detection process of the SCR system, so that the fault diagnosis accuracy is low.
Disclosure of Invention
The application aims to provide a method and a device for detecting faults of an SCR system and electronic equipment. The method is used for solving the problem that when signal measurement in the existing SCR system deviates, fault false alarm is easy to occur.
In a first aspect, an embodiment of the present application provides a method for detecting a fault in an SCR system, where the method includes:
determining a consumption volume of urea within a preset time period based on a urea tank level sensor;
determining a first consumption mass of urea within the preset time period based on the consumption volume and a preset density value of urea;
determining a second consumption quality of urea based on the urea injection quantity of the urea nozzle in the preset time period;
determining a third consumption quality of urea based on upstream and downstream nitrogen oxide consumption monitored by a nitrogen oxide sensor during the preset time period;
determining whether a faulty consumption quality exists among the first consumption quality, the second consumption quality, and the third consumption quality;
and if the first consumption quality is the failure consumption quality, determining that the urea tank liquid level sensor fails, and if the second consumption quality or the third consumption quality is the failure consumption quality, determining that the urea nozzle fails.
In some possible embodiments, the determining the first consumption quality of urea within the preset time period based on the consumption volume and a preset density value of urea includes:
and obtaining the first consumption mass of urea in the preset time period through the product of the consumption volume and the preset density value.
In some possible embodiments, the determining a third consumption quality of urea based on upstream and downstream nitrogen oxide consumption monitored by the nitrogen oxide sensor during the preset time period includes:
determining an ammonia nitrogen ratio corresponding to the current nitrogen oxide volume based on a preset mapping relation between the nitrogen oxide volume and the ammonia nitrogen ratio;
determining the current engine air inflow and aftertreatment conversion efficiency;
and determining a third consumption quality of urea by the product of the consumption of the nitrogen oxide, the ammonia nitrogen ratio, the engine air inflow and the aftertreatment conversion efficiency.
In some possible embodiments, the determining whether there is a faulty consumption quality among the first consumption quality, the second consumption quality, and the third consumption quality includes:
and if the deviation of any two consumption qualities among the first consumption quality, the second consumption quality and the third consumption quality is smaller than or equal to a first preset deviation, and the deviation of the target consumption quality except the any two consumption qualities and any one consumption quality among the any two consumption qualities is larger than or equal to a second preset deviation, determining that the target consumption quality is a fault consumption quality.
In some possible embodiments, the determining that the urea nozzle is malfunctioning if the second or third consumption quality is a malfunctioning consumption quality comprises:
if the deviation between the first consumption quality and the third consumption quality is smaller than the first preset deviation, and the deviation between the first consumption quality and the second consumption quality is larger than the second preset deviation, determining that the urea nozzle is blocked;
if the deviation between the first consumption quality and the third consumption quality is smaller than the first preset deviation, and the deviation between the second consumption quality and the first consumption quality is larger than the second preset deviation, determining that the urea nozzle injection quantity is overlarge.
In a second aspect, an embodiment of the present application provides an SCR system fault detection apparatus, where the apparatus includes:
determining a first consumption quality module for determining a consumption volume of urea within a preset time period based on a urea tank level sensor; determining a first consumption mass of urea within the preset time period based on the consumption volume and a preset density value of urea;
a second consumption quality module for determining a second consumption quality of urea based on the urea injection quantity of the urea nozzle in the preset time period;
a third consumption quality module is determined and used for determining the third consumption quality of urea based on the upstream and downstream nitrogen oxide consumption monitored by the nitrogen oxide sensor in the preset time period;
a determining fault module configured to determine whether a fault consumption quality exists in the first consumption quality, the second consumption quality, and the third consumption quality; and if the first consumption quality is the failure consumption quality, determining that the urea tank liquid level sensor fails, and if the second consumption quality or the third consumption quality is the failure consumption quality, determining that the urea nozzle fails.
In a third aspect, an embodiment of the present application provides an electronic device, including at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the SCR system fault detection method provided in the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program for causing a computer to execute the SCR system fault detection method provided in the first aspect.
The embodiment of the application aims to solve the problem that when signal measurement in the SCR system deviates, fault false alarm is easy to occur. The embodiment of the application improves the fault self-checking accuracy of the SCR system, accurately positions the fault parts and is convenient for fault removal and overhaul.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for detecting SCR system faults according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an SCR system fault detection device according to one embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions of the embodiments of the present application will be clearly and thoroughly described below with reference to the accompanying drawings. In the description of the embodiments of the present application, unless otherwise indicated, "/" means or, for example, a/B may represent a or B; the text "and/or" is merely an association relation describing the associated object, and indicates that three relations may exist, for example, a and/or B may indicate: the three cases where a exists alone, a and B exist together, and B exists alone, and furthermore, in the description of the embodiments of the present application, "plural" means two or more than two.
In the description of the embodiments of the present application, unless otherwise indicated, the term "plurality" refers to two or more, and other words and phrases are to be understood and appreciated that the preferred embodiments described herein are for the purpose of illustration and explanation of the present application only, and are not intended to limit the present application, as well as the embodiments of the present application and features of the embodiments may be combined with each other without conflict.
In order to further explain the technical solution provided by the embodiments of the present application, the following details are described with reference to the accompanying drawings and the detailed description. Although embodiments of the present application provide the method operational steps shown in the following embodiments or figures, more or fewer operational steps may be included in the method based on routine or non-inventive labor. In steps where there is logically no necessary causal relationship, the execution order of the steps is not limited to the execution order provided by the embodiments of the present application. The methods may be performed sequentially or in parallel as shown in the embodiments or the drawings when the actual processing or the control device is executing.
In view of the problem that when signal measurement in the related art is deviated, fault false alarm is easy to occur. The application provides a fault detection method and device of an SCR system and electronic equipment, which can improve the fault self-checking accuracy of the SCR system, accurately position fault parts and facilitate fault elimination and maintenance.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
An SCR system fault detection method according to an embodiment of the present application is described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a flow chart of an SCR system fault detection method according to an embodiment of the present application is shown, including:
step 101: the consumption volume of urea in a preset time period is determined based on a urea tank level sensor.
Specifically, the urea tank level sensor can monitor the urea level in the urea tank in real time, and the volume of urea consumed in the preset time period is determined through the monitoring of the urea tank level sensor in the preset time period.
Step 102: a first consumption mass of urea is determined for a preset period of time based on the consumption volume and a preset density value of urea.
Specifically, the density of the standard concentration urea of 32.5% is a fixed value ρ (i.e., a preset density value). As an alternative embodiment, determining the first consumption mass of urea within the preset time period based on the consumption volume and a preset density value of urea comprises: and obtaining the first consumption mass of urea in the preset time period through the product of the consumption volume and the preset density value. Specifically, for example: the urea tank liquid level sensor at the moment T1 monitors that the volume value of urea is V 1 The value of the volume of the urea detected by the urea tank liquid level sensor at the moment T2 is V 2 The preset time period is a time period from T1 to T2, and the urea consumption volume V in the time period from T1 to T2 is monitored cns =V 1 -V 2 The density of the standard concentration urea 32.5% is a fixed value rho, thereby obtaining the urea mass consumed in the preset time period from T1 to T2 as a first consumption mass m 1= V cns* ρ。
Step 103: a second consumption quality of urea is determined based on the urea injection quantity of the urea nozzle over a preset period of time.
Specifically, the controller has a preset fixed value for the urea injection amount of the urea nozzle during a preset period, and the urea injection amount is an injection amount of the urea that the urea nozzle actually injects urea during the preset period. For example: in the time period from T1 to T2, calculating the actual injection quantity at each time point in the time period from T1 to T2, accumulating the actual injection quantity corresponding to each time point, and recording the calculated urea injection quantity in the time period from T1 to T2, namely the second consumption quality as m 2 。m 2= ∑dm Udc Wherein dm Udc The actual urea injection quantity corresponding to each time point in the preset time period is shown.
Step 104: and determining a third consumption quality of urea based on the upstream and downstream nitrogen oxide consumption monitored by the nitrogen oxide sensor during the preset time period.
As an alternative embodiment, determining a third consumption quality of urea based on upstream and downstream nitrogen oxide consumption monitored by a nitrogen oxide sensor during the preset time period, includes: determining an ammonia nitrogen ratio corresponding to the current nitrogen oxide volume based on a preset mapping relation between the nitrogen oxide volume and the ammonia nitrogen ratio; determining the current engine air inflow and aftertreatment conversion efficiency; and determining a third consumption quality of urea by the product of the consumption of the nitrogen oxide, the ammonia nitrogen ratio, the engine air inflow and the aftertreatment conversion efficiency.
Specifically, the NOx sensor may monitor the amount of change in volume of upstream and downstream NOx during a predetermined period of time, T1 to T2, and a third consumption mass of urea may be recorded as m 3
m 3 =(NOx us -NOx Ds )*ANR*dmEG*Fac eff The method comprises the steps of carrying out a first treatment on the surface of the Wherein NOx is us For the volume of nitrogen oxides and NOx of upstream nitrogen oxides in a preset time period Ds The volume of nitrogen oxides of downstream nitrogen oxides in a preset time period, the ANR is the ammonia nitrogen ratio corresponding to the current nitrogen oxide volume, the dmEG is the current engine air inflow and the Fac eff The conversion efficiency is for the post-treatment. And calculating to obtain the third consumption quality through the formula.
Step 105: determining whether a faulty consumption quality exists among the first consumption quality, the second consumption quality, and the third consumption quality.
Specifically, the consumption quality of urea is calculated in three different ways in the steps 101-104, and the application performs fault detection in a two-to-two comparison way in the three ways.
As an alternative embodiment, determining whether there is a faulty consumption quality among the first consumption quality, the second consumption quality, and the third consumption quality includes:
and if the deviation of any two consumption qualities among the first consumption quality, the second consumption quality and the third consumption quality is smaller than or equal to a first preset deviation, and the deviation of the target consumption quality except the any two consumption qualities and any one consumption quality among the any two consumption qualities is larger than or equal to a second preset deviation, determining that the target consumption quality is a fault consumption quality.
The application determines the judgment logic of the fault problem from three ways of calculating the urea consumption quality: when the urea consumption quality calculated by any one of the ways of calculating the urea consumption quality and the other two ways of calculating the urea consumption quality calculate that the deviation of the urea consumption amount exceeds the second preset deviation (the deviation is recorded as m set2 ) And the urea mass calculated in the other two ways of calculating the urea consumption mass is substantially equal, (deviation is denoted as m) set1 ) The component is considered to have a fault problem.
Specifically, a smaller first preset deviation is preset, and a relatively larger second preset deviation is set. When the pairwise comparison is performed, if the deviation of the two consumption qualities is smaller than or equal to the first preset deviation, it is proved that the deviation between the two consumption qualities is not large, the two consumption qualities are normal, and the deviation of the third consumption quality (i.e., the target consumption quality) from any one of the two consumption qualities except the two consumption qualities is larger than or equal to the second preset deviation, it is proved that the deviation of the third consumption quality (i.e., the target consumption quality) from the other two normal consumption qualities is excessively large, i.e., the third consumption quality fails.
Step 106: if the first consumption quality is the failure consumption quality, determining that the urea tank liquid level sensor fails, and if the second consumption quality or the third consumption quality is the failure consumption quality, determining that the urea nozzle fails.
As an alternative embodiment, if the deviation of the first consumption quality from the third consumption quality is smaller than the first preset deviation, and the deviation of the first consumption quality from the second consumption quality is larger than the second preset deviation, determining that the urea nozzle is blocked;
if the deviation between the first consumption quality and the third consumption quality is smaller than the first preset deviation, and the deviation between the second consumption quality and the first consumption quality is larger than the second preset deviation, determining that the urea nozzle injection quantity is overlarge.
Specifically, when |m 2 -m 3 |<m set1 ,m 2 -m 1 >m set2 The method comprises the steps of carrying out a first treatment on the surface of the The first consumption quality is proved to be the fault quality, and the fault of the urea tank liquid level sensor is determined at the moment.
When |m 1 -m 3 |<m set1 &(m 1 -m 2 )>m set2 The method comprises the steps of carrying out a first treatment on the surface of the The second consumed mass is proved to be a faulty mass, at which point it is determined that the urea nozzle is clogged.
When |m 1 -m 3 |<m set1 &(m 2 -m 1 )>m set2 The method comprises the steps of carrying out a first treatment on the surface of the The second consumption quality is proved to be the fault quality, and the excessive injection quantity of the urea nozzle is determined at the moment.
Before calculating the urea consumption quality in any mode, the nitrogen oxide sensor needs to be ensured to be in normal operation, and the concentration of the added urea is in a normal threshold range, so that the monitoring value of the nitrogen oxide sensor is ensured to be accurate, and the concentration of the urea is qualified.
After calculating the consumption mass of urea in three ways, it is necessary to determine whether the SCR conversion efficiency is in the normal range when |m1-m2| < m set1 ,m2-m3>m set2 When it is determined that the SCR conversion efficiency is low, the above-described steps 105 and 106 are not required.
According to the application, urea consumption quality is calculated in different modes through the sensor signals in the SCR system, the urea consumption quality calculated in different modes is checked mutually in pairs, the accuracy of fault detection of parts is improved, and the fault misjudgment probability caused by single signal judgment is greatly reduced.
Example 2
Based on the same inventive concept, the application also provides an SCR system fault detection device, as shown in fig. 2, which comprises:
a first consumption quality module 201 for determining a consumption volume of urea during a preset time period based on a urea tank level sensor; determining a first consumption mass of urea within the preset time period based on the consumption volume and a preset density value of urea;
a second consumption quality module 202 for determining a second consumption quality of urea based on the urea injection quantity of the urea nozzle during the preset time period;
a third consumption quality determination module 203 for determining a third consumption quality of urea based on upstream and downstream nitrogen oxide consumption monitored by the nitrogen oxide sensor during the preset time period;
a determine failure module 204 for determining whether a failure consumption quality exists among the first consumption quality, the second consumption quality, and the third consumption quality; and if the first consumption quality is the failure consumption quality, determining that the urea tank liquid level sensor fails, and if the second consumption quality or the third consumption quality is the failure consumption quality, determining that the urea nozzle fails.
Optionally, the determining the first consumption quality module 201 is specifically configured to:
and obtaining the first consumption mass of urea in the preset time period through the product of the consumption volume and the preset density value.
Optionally, the determining third consumption quality module 203 is specifically configured to:
determining an ammonia nitrogen ratio corresponding to the current nitrogen oxide volume based on a preset mapping relation between the nitrogen oxide volume and the ammonia nitrogen ratio;
determining the current engine air inflow and aftertreatment conversion efficiency;
and determining a third consumption quality of urea by the product of the consumption of the nitrogen oxide, the ammonia nitrogen ratio, the engine air inflow and the aftertreatment conversion efficiency.
Optionally, the determining fault module 204 is specifically configured to: and if the deviation of any two consumption qualities among the first consumption quality, the second consumption quality and the third consumption quality is smaller than or equal to a first preset deviation, and the deviation of the target consumption quality except the any two consumption qualities and any one consumption quality among the any two consumption qualities is larger than or equal to a second preset deviation, determining that the target consumption quality is a fault consumption quality.
Optionally, the determining fault module 204 is specifically configured to: if the deviation between the first consumption quality and the third consumption quality is smaller than the first preset deviation, and the deviation between the first consumption quality and the second consumption quality is larger than the second preset deviation, determining that the urea nozzle is blocked;
if the deviation between the first consumption quality and the third consumption quality is smaller than the first preset deviation, and the deviation between the second consumption quality and the first consumption quality is larger than the second preset deviation, determining that the urea nozzle injection quantity is overlarge.
Having described the SCR system fault detection method and apparatus of an exemplary embodiment of the present application, next, an electronic device according to another exemplary embodiment of the present application is described.
Those skilled in the art will appreciate that the various aspects of the application may be implemented as a system, method, or program product. Accordingly, aspects of the application may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
In some possible embodiments, an electronic device according to the application may comprise at least one processor and at least one memory. Wherein the memory stores program code that, when executed by the processor, causes the processor to perform the steps in the SCR system fault detection method according to various exemplary embodiments of the application described above in this specification.
An electronic device 130 according to this embodiment of the present application, i.e. the SCR system fault detection device described above, is described below with reference to fig. 3. The electronic device 130 shown in fig. 3 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present application.
As shown in fig. 3, the electronic device 130 is in the form of a general-purpose electronic device. Components of electronic device 130 may include, but are not limited to: the at least one processor 131, the at least one memory 132, and a bus 133 connecting the various system components, including the memory 132 and the processor 131.
Bus 133 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, and a local bus using any of a variety of bus architectures.
Memory 132 may include readable media in the form of volatile memory such as Random Access Memory (RAM) 1321 and/or cache memory 1322, and may further include Read Only Memory (ROM) 1323.
Memory 132 may also include a program/utility 1325 having a set (at least one) of program modules 1324, such program modules 1324 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The electronic device 130 may also communicate with one or more external devices 134 (e.g., keyboard, pointing device, etc.), one or more devices that enable a user to interact with the electronic device 130, and/or any device (e.g., router, modem, etc.) that enables the electronic device 130 to communicate with one or more other electronic devices. Such communication may occur through an input/output (I/O) interface 135. Also, electronic device 130 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 136. As shown, network adapter 136 communicates with other modules for electronic device 130 over bus 133. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 130, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
In some possible embodiments, aspects of an SCR system fault detection method provided by the present application may also be implemented in the form of a program product comprising program code for causing a computer device to carry out the steps of an SCR system fault detection method according to the various exemplary embodiments of the application as described herein above when the program product is run on a computer device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The program product for monitoring of embodiments of the present application may employ a portable compact disc read only memory (CD-ROM) and comprise program code and may run on an electronic device. However, the program product of the present application is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the consumer electronic device, partly on the consumer electronic device, as a stand-alone software package, partly on the consumer electronic device, partly on the remote electronic device, or entirely on the remote electronic device or server. In the case of remote electronic devices, the remote electronic device may be connected to the consumer electronic device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external electronic device (e.g., connected through the internet using an internet service provider).
It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functions of two or more of the elements described above may be embodied in one element in accordance with embodiments of the present application. Conversely, the features and functions of one unit described above may be further divided into a plurality of units to be embodied.
Furthermore, although the operations of the methods of the present application are depicted in the drawings in a particular order, this is not required to either imply that the operations must be performed in that particular order or that all of the illustrated operations be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flowchart and/or block of the flowchart and block diagrams, and combinations of flowcharts and block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (10)

1. A method for detecting a fault in an SCR system, the method comprising:
determining a consumption volume of urea within a preset time period based on a urea tank level sensor;
determining a first consumption mass of urea within the preset time period based on the consumption volume and a preset density value of urea;
determining a second consumption quality of urea based on the urea injection quantity of the urea nozzle in the preset time period;
determining a third consumption quality of urea based on upstream and downstream nitrogen oxide consumption monitored by a nitrogen oxide sensor during the preset time period;
determining whether a faulty consumption quality exists among the first consumption quality, the second consumption quality, and the third consumption quality;
and if the first consumption quality is the failure consumption quality, determining that the urea tank liquid level sensor fails, and if the second consumption quality or the third consumption quality is the failure consumption quality, determining that the urea nozzle fails.
2. The method of claim 1, wherein the determining a first consumption mass of urea for the preset time period based on the consumption volume and a preset density value of urea comprises:
and obtaining the first consumption mass of urea in the preset time period through the product of the consumption volume and the preset density value.
3. The method of claim 1, wherein the determining a third consumption quality of urea based on upstream and downstream nitrogen oxide consumption monitored by a nitrogen oxide sensor over the preset time period comprises:
determining an ammonia nitrogen ratio corresponding to the current nitrogen oxide volume based on a preset mapping relation between the nitrogen oxide volume and the ammonia nitrogen ratio;
determining the current engine air inflow and aftertreatment conversion efficiency;
and determining a third consumption quality of urea by the product of the consumption of the nitrogen oxide, the ammonia nitrogen ratio, the engine air inflow and the aftertreatment conversion efficiency.
4. The method of claim 1, wherein the determining whether a faulty consumption quality exists among the first consumption quality, the second consumption quality, and the third consumption quality comprises:
and if the deviation of any two consumption qualities among the first consumption quality, the second consumption quality and the third consumption quality is smaller than or equal to a first preset deviation, and the deviation of the target consumption quality except the any two consumption qualities and any one consumption quality among the any two consumption qualities is larger than or equal to a second preset deviation, determining that the target consumption quality is a fault consumption quality.
5. The method of claim 4, wherein determining that the urea nozzle is malfunctioning if the second or third consumption quality is a malfunctioning consumption quality comprises:
if the deviation between the first consumption quality and the third consumption quality is smaller than the first preset deviation, and the deviation between the first consumption quality and the second consumption quality is larger than the second preset deviation, determining that the urea nozzle is blocked;
if the deviation between the first consumption quality and the third consumption quality is smaller than the first preset deviation, and the deviation between the second consumption quality and the first consumption quality is larger than the second preset deviation, determining that the urea nozzle injection quantity is overlarge.
6. An SCR system fault detection device, the device comprising:
determining a first consumption quality module for determining a consumption volume of urea within a preset time period based on a urea tank level sensor; determining a first consumption mass of urea within the preset time period based on the consumption volume and a preset density value of urea;
a second consumption quality module for determining a second consumption quality of urea based on the urea injection quantity of the urea nozzle in the preset time period;
a third consumption quality module is determined and used for determining the third consumption quality of urea based on the upstream and downstream nitrogen oxide consumption monitored by the nitrogen oxide sensor in the preset time period;
a determining fault module configured to determine whether a fault consumption quality exists in the first consumption quality, the second consumption quality, and the third consumption quality; and if the first consumption quality is the failure consumption quality, determining that the urea tank liquid level sensor fails, and if the second consumption quality or the third consumption quality is the failure consumption quality, determining that the urea nozzle fails.
7. The apparatus of claim 6, wherein the determining the first consumption quality module is specifically configured to:
and obtaining the first consumption mass of urea in the preset time period through the product of the consumption volume and the preset density value.
8. The apparatus of claim 6, wherein the determining a third consumption quality module is specifically configured to:
determining an ammonia nitrogen ratio corresponding to the current nitrogen oxide volume based on a preset mapping relation between the nitrogen oxide volume and the ammonia nitrogen ratio;
determining the current engine air inflow and aftertreatment conversion efficiency;
and determining a third consumption quality of urea by the product of the consumption of the nitrogen oxide, the ammonia nitrogen ratio, the engine air inflow and the aftertreatment conversion efficiency.
9. An electronic device comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
10. A computer storage medium, characterized in that the computer storage medium stores a computer program for causing a computer to perform the method according to any one of claims 1-5.
CN202311258025.7A 2023-09-26 2023-09-26 SCR system fault detection method and device and electronic equipment Pending CN117189325A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311258025.7A CN117189325A (en) 2023-09-26 2023-09-26 SCR system fault detection method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311258025.7A CN117189325A (en) 2023-09-26 2023-09-26 SCR system fault detection method and device and electronic equipment

Publications (1)

Publication Number Publication Date
CN117189325A true CN117189325A (en) 2023-12-08

Family

ID=88996125

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311258025.7A Pending CN117189325A (en) 2023-09-26 2023-09-26 SCR system fault detection method and device and electronic equipment

Country Status (1)

Country Link
CN (1) CN117189325A (en)

Similar Documents

Publication Publication Date Title
CN110991666B (en) Fault detection method, training device, training equipment and training equipment for model, and storage medium
WO2020052147A1 (en) Monitoring device fault detection method and apparatus
US7680587B2 (en) Method and an arrangement for monitoring the functioning of a sensor or an exhaust gas aftertreatment system
US8930736B2 (en) Inferred electrical power consumption of computing devices
JP2013501945A (en) General-purpose sensor self-diagnosis device and diagnosis method thereof
CN113030399B (en) Method and device for determining urea concentration
CN103207820A (en) Method and device for fault positioning of hard disk on basis of raid card log
CN103599699A (en) Catalyst upgrading method for SCR denitration system and system thereof
JP2016532806A (en) How to monitor sensor operation
CN108919776A (en) A kind of assessment of failure method and terminal
CN111124827A (en) Monitoring device and monitoring method for equipment fan
JP6482743B1 (en) Risk assessment device, risk assessment system, risk assessment method, and risk assessment program
CN113931258A (en) Self-diagnosis method and non-negative pressure-superposed water supply equipment
CN107131041A (en) For the method for the exhausted gas post-processing system for diagnosing internal combustion engine
CN113992602B (en) Cable monitoring data uploading method, device, equipment and storage medium
KR102234054B1 (en) Risk assessment device, risk assessment system, risk assessment method, risk assessment program and data structure
Wang et al. A causality analysis framework for component-based real-time systems
CN112882898B (en) Anomaly detection method, system, device and medium based on big data log analysis
CN117189325A (en) SCR system fault detection method and device and electronic equipment
CN116557122A (en) Urea concentration anomaly monitoring method and device, electronic equipment and storage medium
CN104345858A (en) Method and device for managing power consumption of server hardware equipment, and server
CN114263520B (en) Detecting NO x Method and device for sensor precision
US20230147578A1 (en) Non-intrusive reductant injector clogging detection
CN110936073B (en) Welding equipment, monitoring method thereof and electronic equipment
CN114676019B (en) Method, device, equipment and storage medium for monitoring state of central processing unit

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination