CN112253294A - Remote online monitoring and optimizing method for SCR efficiency of diesel engine - Google Patents
Remote online monitoring and optimizing method for SCR efficiency of diesel engine Download PDFInfo
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- CN112253294A CN112253294A CN202011148882.8A CN202011148882A CN112253294A CN 112253294 A CN112253294 A CN 112253294A CN 202011148882 A CN202011148882 A CN 202011148882A CN 112253294 A CN112253294 A CN 112253294A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N11/00—Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N9/00—Electrical control of exhaust gas treating apparatus
- F01N9/007—Storing data relevant to operation of exhaust systems for later retrieval and analysis, e.g. to research exhaust system malfunctions
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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Abstract
A remote online monitoring and optimizing method for SCR efficiency of a diesel engine comprises the processes of acquisition of SCR efficiency measurement signals and monitoring and optimization of the signals, wherein a signal acquisition part adopts TBOX remote terminal equipment to connect an ECU (electronic control Unit) with a cloud, and the variable configuration is well set and transmitted to the TBOX at the cloud to acquire the measurement signals; uploading data to a cloud end, and monitoring, analyzing and optimizing the data: 1) continuously recording and storing basic variables of the rotating speed, the oil mass, the torque, the vehicle speed, the ambient temperature, the water temperature, the air inflow and the SCR efficiency real-time value, and outputting an SCR efficiency real-time value graph in real time for online monitoring; meanwhile, SCR efficiency cloud data are used for feedback optimization rack calibration; 2) and continuously recording and storing the variables for SCR efficiency diagnosis including the SCR temperature, the SCR upstream NOx value, the SCR downstream NOx value, the upstream and downstream NOx release states, the exhaust gas flow rate, the urea injection amount, the stored NH3 value, the engine running mode, the SCR efficiency measured value and the SCR efficiency limit value, and automatically outputting the robustness graph after the SCR efficiency diagnosis enabling condition is met.
Description
Technical Field
The invention relates to a method for monitoring and optimizing selective catalytic reduction efficiency of a flue gas denitration technology, in particular to a method for remotely monitoring and optimizing SCR efficiency of a national diesel vehicle on line.
Background
At present, the atmospheric environmental pollution situation in China is severe, and the emission of NOx of motor vehicles, especially the six diesel vehicles in China, becomes the central importance of the current atmospheric pollution prevention and treatment work. The mainstream technical route for reducing NOx emissions is the SCR (selective catalytic reduction) strategy, which converts NOx emission pollutants in the exhaust gas into N by injecting urea2. The SCR conversion efficiency is influenced by a plurality of factors such as urea quality, a urea nozzle, catalyst activity, catalyst S poisoning, exhaust temperature and environment temperature, and the SCR conversion efficiency can be reduced, but no effective strategy is available at present for real-time remote online monitoring of the SCR efficiency and drawing of a robustness graph, the SCR conversion efficiency can only be checked by an engineer through field records of a special calibration device, and time and labor are wasted.
Moreover, when the efficiency of the SCR is reduced and a fault is reported due to certain factors, the running working condition data when the fault occurs cannot be accurately reproduced and collected, so that the fault working condition cannot be accurately analyzed, various potential problems, potential working conditions and problem points cannot be accurately positioned only by the fact that engineers are in the spot, and the vehicle needs to occupy a client to repeatedly collect, repeatedly correct and repeatedly verify on the spot, thereby bringing great inconvenience to the use of the vehicle by the client and increasing the complaints of the client; due to the large number of after-market vehicles, limited engineer resources are also a great challenge.
In addition, in the stage of calibrating the SCR efficiency of the rack, the SCR efficiency cloud data acquired remotely by the whole vehicle cannot be fully utilized to reversely optimize the calibration of the rack.
Disclosure of Invention
The invention provides a method for remotely monitoring and optimizing the SCR efficiency of a diesel engine on line aiming at the defects of the prior art, wherein data related to the SCR efficiency in an ECU (electronic control unit) is collected to a cloud end through a remote terminal Tbox device based on a CAN (controller area network) line XCP (X-ray computer protocol), the data is analyzed, stored and analyzed in real time at the cloud end, and an SCR efficiency robustness graph is automatically output, so that the remote on-line monitoring of the SCR efficiency CAN be realized; and when the SCR efficiency is triggered in a fault, the cloud automatically stores data of 1 hour before and after the fault, and carries out offline optimization processing on the fault data by using the MATLAB model, so that the remote offline optimization of the SCR efficiency is realized.
The technical scheme adopted by the invention is as follows:
the invention discloses a remote on-line monitoring and optimizing method for SCR efficiency of a diesel engine, which mainly comprises two parts of acquisition of SCR efficiency measurement signals and monitoring and optimizing processes of the signals, wherein the two parts comprise:
the signal acquisition part: connecting the ECU with a cloud terminal by using TBOX remote terminal equipment, and well configuring and transmitting variables to the TBOX at the cloud terminal for acquiring measurement signals; the TBOX and the ECU are communicated based on an XCP protocol of a CAN (controller area network) line, and the TBOX and the cloud terminal transmit signals through 4G/5G;
and a monitoring optimization part: after the data are uploaded to the cloud, the data are monitored, analyzed and optimized in three ways (details are shown in fig. 1):
1) continuously recording and storing basic variables such as rotating speed, oil mass, torque, vehicle speed, ambient temperature, water temperature, air inflow, SCR efficiency real-time values and the like, and outputting SCR efficiency real-time value graphs in real time for online monitoring; meanwhile, SCR efficiency cloud data are used for feedback optimization rack calibration;
2) continuously recording and storing SCR efficiency diagnosis variables including SCR temperature, SCR upstream NOx value, SCR downstream NOx value, upstream and downstream NOx release state, exhaust gas flow rate, urea injection amount, stored NH3 value, engine operation mode, SCR efficiency measured value, SCR efficiency limit value and the like, and automatically outputting a robustness graph when SCR efficiency diagnosis enabling conditions are satisfied
3) And when the fault state position 1 is triggered by the fault, automatically storing data 1 hour before and after the fault is triggered, inputting the data into the MATLAB model for offline optimization, and performing real-time verification on the optimized data to solve the fault.
The acquisition of the SCR efficiency measurement signal is mainly divided into four phases (see fig. 2):
1. the cloud issues an acquisition command and issues a DAQ List configuration
2. TBox requests security authentication to access ECU
3. XCPDAQ List preprocessing, DAQ List mainly contains the following (generated by converting A2L files)
1) List unique identification number
2) ODT unique identification number
3) Element(s)
4) Length of element
5) Page address
6) Address
4. And collecting ODT data and uploading the ODT data to a cloud.
An SCR efficiency model of MATLAB was constructed and the SCR efficiency calculation model is shown in figure 3. When the dew points of the upstream and downstream NOx sensors are released, the upstream temperature of the SCR is 200-350 ℃, the urea pump pressure is 5bar, and the fuel injection quantity is greater than 5mg/hub, the PPM measured values of the upstream and downstream NOx sensors are respectively multiplied by the exhaust gas flow and are subjected to integral accumulation, meanwhile, the SCR upstream temperature occupation time and the corresponding efficiency threshold value are subjected to integral accumulation, and when the upstream NOx is accumulated to 12g, the actual NOx conversion efficiency and the NOx error reporting threshold value conversion efficiency are calculated.
The invention has the beneficial effects that:
1. according to the method for remotely monitoring and optimizing the SCR efficiency of the diesel engine on line, an engineer can realize remote on-line monitoring on the SCR efficiency only by connecting a network without going out of home through a TBOX remote terminal equipment platform; by the automatic plotting function, the efficiency robustness of the SCR can be monitored in real time, a large amount of SCR efficiency cloud data collected by the vehicle feed back to optimize the calibration of the rack, the development period is shortened, the test cost is saved, and the data quality and the robustness are improved.
2. The method for remotely monitoring and optimizing the SCR efficiency of the diesel engine on line can realize the check of real-time data and historical data, and can automatically store data for 1 hour before and after the failure trigger of the SCR efficiency; aiming at the efficiency fault treatment of the after-sale SCR, an engineer can perform off-line analysis only by calling data recorded before and after the cloud fault occurs without visiting the site, so that the resource of the engineer is greatly liberated, the after-sale is facilitated, the off-line fault data is optimized through an MATLAB model, and the complaints of customers caused by repeated collection, repeated simulation and repeated verification of vehicles occupying the customers for a long time can be avoided.
Drawings
FIG. 1 is a flow chart of a method for remote on-line monitoring and optimization of SCR efficiency according to the present invention;
FIG. 2 shows an interactive interface of a cloud, a TBOX and an ECU of an information acquisition part;
FIG. 3 is a SCR efficiency model of the SCR efficiency remote online monitoring and optimization method;
FIG. 4: the cloud end creates a task operation interface;
FIG. 5: selecting a measuring signal and a measuring frequency operation interface;
FIG. 6: starting a task measurement operation interface;
FIG. 7: setting an editing template operation interface for the SCR efficiency graph;
FIG. 8: SCR efficiency actual mapping;
FIG. 9: and comparing optimization effects before and after SCR efficiency fault triggering.
Detailed Description
The technical solution of the present invention is further described in detail by the following embodiments.
Example 1
Referring to fig. 1, the method for remotely monitoring and optimizing the efficiency of the diesel engine SCR of the invention on line comprises the processes of acquisition of SCR efficiency measurement signals and monitoring and optimization of the signals, wherein:
the signal acquisition part: connecting the ECU with a cloud terminal by using TBOX remote terminal equipment, and well configuring and transmitting variables to the TBOX at the cloud terminal for acquiring measurement signals; wherein, the TBOX and the ECU are communicated based on an XCP protocol of a CAN line, and the TBOX and the cloud slightly transmit signals through wireless networks such as 4G/5G and the like;
and a monitoring optimization part: after the data are uploaded to the cloud, monitoring, analyzing and optimizing the data:
1) continuously recording and storing basic variables such as rotating speed, oil mass, torque, vehicle speed, ambient temperature, water temperature, air inflow, SCR efficiency real-time values and the like, and outputting SCR efficiency real-time value graphs in real time for online monitoring; meanwhile, SCR efficiency cloud data are used for feedback optimization rack calibration;
2) the robustness pattern is automatically output when the SCR efficiency diagnosis enabling condition is satisfied, while the SCR efficiency diagnosis variables including the SCR temperature, the SCR upstream NOx value, the SCR downstream NOx value, the upstream and downstream NOx release state, the exhaust gas flow rate, the urea injection amount, the stored NH3 value, the engine operating mode, the SCR efficiency measured value, the SCR efficiency limit value, and the like are continuously recorded and stored.
FIG. 1 is a general flow chart of the present invention, in which a cloud configuration variable issues a task to a TBOX, the TBOX issues an ECU access request, and after the request passes, the ECU uploads data to the TBOX, and the TBOX uploads the data to the cloud; and the cloud analyzes, collects and stores the data, and the data are respectively used for outputting SCR efficiency real-time data, SCR efficiency robustness graphs and offline model optimization of fault data.
Example 2
See fig. 1, fig. 2. The method for remotely monitoring and optimizing the SCR efficiency of the diesel engine on line in the embodiment is different from the method in the embodiment 1 in that: further, as shown in fig. 2, the acquisition process of the measurement signal includes:
1) the cloud issues an acquisition command and issues a DAQ List configuration
2) TBox requests security authentication to access ECU
3) Preprocessing of XCP DAQ List, which mainly contains the following (generated by transformation of A2L files)
(1) List unique identification number
(2) ODT unique identification number
(3) Element(s)
(4) Length of element
(5) Page address
(6) Address
4) And collecting ODT data and uploading the ODT data to a cloud.
FIG. 2 shows a cloud, TBOX and ECU interactive communication interface, wherein the TBOX device communicates with the ECU through a CAN line, and the cloud and the TBOX are connected through 4G signals. The cloud end issues starting XCP collection to TBOX, TBOX issues an ECU access request, the ECU responds to the center to the TBOX, the TBOX issues Key to the ECU, the ECU should access the request to the TBOX, the TBOX uploads the response state to the cloud end again, the cloud end issues DAQ list to the TBOX, the TOBX preprocesses the request to the ECU according to the DAQ list, the ECU uploads ODT data to the TBOX, and the TBOX uploads the ODT data to the cloud end again.
Example 3
The method for remotely monitoring and optimizing the SCR efficiency of the diesel engine on line in the embodiment is different from the method in the embodiment 1 or 2 in that: further, the monitoring optimization part: when the fault state position 1 is triggered by a fault, automatically storing data of 1 hour before and after the fault is triggered, inputting the data into an MATLAB model for offline optimization, and performing real-time verification on the optimized data to solve the fault, wherein an SCR efficiency calculation model is shown in figure 3.
FIG. 3 is a schematic of an SCR efficiency model of MATLAB. When the dew points of the upstream and downstream NOx sensors are released, the upstream temperature of the SCR is 200-350 ℃, the urea pump pressure is 5bar, and the fuel injection quantity is greater than 5mg/hub, the PPM measured values of the upstream and downstream NOx sensors are respectively multiplied by the exhaust gas flow and are subjected to integral accumulation, meanwhile, the SCR upstream temperature occupation time and the corresponding efficiency threshold value are subjected to integral accumulation, and when the upstream NOx is accumulated to 12g, the actual NOx conversion efficiency and the NOx error reporting threshold value conversion efficiency are calculated.
Example 4
The invention discloses a remote on-line monitoring and optimizing method for SCR efficiency of a diesel engine, which comprises the following specific implementation processes:
1. creating a task on a cloud server, uploading basic information such as a task name, an observation type, a task state, an A2L file uploading and the like; the operational interface is shown in FIG. 4;
2. selecting a measuring signal and a measuring frequency; the operational interface is shown in FIG. 5;
3. starting task measurement; the operational interface is shown in FIG. 6;
4. outputting SCR efficiency robustness graphs
4.1SCR efficiency graph setting, editing template operation interface as shown in FIG. 7;
4.2SCR efficiency empirical graph:
as shown in fig. 8, the upper part of the SCR efficiency actual graph is a normal distribution graph of an SCR efficiency deviation margin interval, and a dotted line represents a deviation lower limit value, wherein the SCR efficiency deviation margin value is a difference value between an SCR efficiency actual value and an SCR efficiency limit value; the lower graph outputs real-time graphs of the actual value of the SCR efficiency and the limit value of the SCR efficiency respectively.
An example of optimization before and after SCR efficiency fault triggering, see FIG. 9;
the SCR efficiency robustness graph output by the cloud platform is visible, the SCR efficiency deviation margin is not enough from the deviation lower limit, when the deviation value is lower than the deviation lower limit (namely the SCR efficiency actual value is lower than the SCR limit value), a fault is reported, data of 1 hour before and after the fault is reported automatically after the fault is reported, the fault data is downloaded, the fault data is led into an MATLAB model to be optimized in an off-line mode, a monitoring interval and a limit value are optimized, the optimized data is finally subjected to a real-time test, the SCR efficiency deviation margin has enough margin from the deviation lower limit, and the SCR efficiency actual value is always higher than the SCR efficiency limit value.
Claims (4)
1. A diesel engine SCR efficiency remote on-line monitoring and optimizing method comprises the processes of acquisition of SCR efficiency measurement signals and monitoring and optimizing of the signals, and is characterized in that:
the signal acquisition part: connecting the ECU with a cloud terminal by using TBOX remote terminal equipment, and well configuring and transmitting variables to the TBOX at the cloud terminal for acquiring measurement signals;
and a monitoring optimization part: after the data are uploaded to the cloud, monitoring, analyzing and optimizing the data:
1) continuously recording and storing basic variables of the rotating speed, the oil mass, the torque, the vehicle speed, the ambient temperature, the water temperature, the air inflow and the SCR efficiency real-time value, and outputting an SCR efficiency real-time value graph in real time for online monitoring; meanwhile, SCR efficiency cloud data are used for feedback optimization rack calibration;
2) and continuously recording and storing the variables for SCR efficiency diagnosis including the SCR temperature, the SCR upstream NOx value, the SCR downstream NOx value, the upstream and downstream NOx release states, the exhaust gas flow rate, the urea injection amount, the stored NH3 value, the engine running mode, the SCR efficiency measured value and the SCR efficiency limit value, and automatically outputting the robustness graph after the SCR efficiency diagnosis enabling condition is met.
2. The method for remote on-line and optimization of SCR efficiency of a diesel engine according to claim 1, wherein: the acquisition process of the measurement signal comprises the following steps:
1) the cloud issues an acquisition command and issues a DAQ List configuration
2) TBox requests security authentication to access ECU
3) XCP DAQ List preprocessing, DAQ List mainly contains:
(1) list unique identification number
(2) ODT unique identification number
(3) Element(s)
(4) Length of element
(5) Page address
(6) Address
4) And collecting ODT data and uploading the ODT data to a cloud.
3. The method for remotely monitoring and optimizing the SCR efficiency of the diesel engine according to claim 1 or 2, which is characterized in that: and a monitoring optimization part: and when the fault state position 1 is triggered by the fault, automatically storing data 1 hour before and after the fault is triggered, inputting the data into the MATLAB model for offline optimization, and performing real-time verification on the optimized data to solve the fault.
4. The method for remotely monitoring and optimizing the SCR efficiency of the diesel engine according to claim 3, wherein the method comprises the following steps: constructing an SCR efficiency model of MATLAB, when dew points of an upstream NOx sensor and a downstream NOx sensor are released, the temperature of the upstream of the SCR is 200-350 ℃, the pressure of a urea pump is 5bar, and the oil injection quantity is more than 5mg/hub, respectively multiplying the PPM measured values of the upstream NOx sensor and the downstream NOx sensor by the exhaust gas flow and performing integral accumulation, meanwhile, performing integral accumulation on the SCR upstream temperature ratio time and a corresponding efficiency threshold value, and when the upstream NOx is accumulated to 12g, calculating the actual NOx conversion efficiency and the NOx error reporting threshold value conversion efficiency.
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Cited By (1)
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| CN116112514A (en) * | 2021-11-11 | 2023-05-12 | 广州汽车集团股份有限公司 | Vehicle remote diagnosis system and method |
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