CN111323535A - Method for detecting vehicle exhaust emission qualification - Google Patents
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Abstract
The invention discloses a method for detecting the qualification of vehicle exhaust emission, which comprises the following steps: the user uploads data to the data acquisition server; step two: after receiving the data uploaded by the user, the data acquisition server analyzes the data and uploads the data to the data processing center; step three: the terminal data are uploaded to the cloud end through the network, and the dispatching core class stores the command requests into the command queue and sequentially executes the command requests; step four: calculating the effect of the filtering and converting device by a tail gas algorithm; step six: and (5) monitoring the exhaust emission. The condition of the vehicle exhaust emission particles can be effectively analyzed in real time by setting the detection method, the corresponding local exhaust emission standard is automatically matched according to the longitude and latitude and the registration information of the vehicle, the effect of the filtering and converting device is calculated according to the temperature, the humidity, the pressure and the like, and whether the exhaust reaches the standard or not is judged. Meanwhile, the exhaust emission can be monitored in real time.
Description
Technical Field
The invention relates to a method for detecting the qualification of vehicle exhaust emission, belonging to the field of pollution and control of vehicle exhaust emission.
Background
With the development of society and economy in the 21 st century, the atmospheric pollution situation becomes more severe, and the haze weather frequently occurs, which seriously affects the production and life of people and the health of human beings. The number of private cars, transportation cars in various industries and public vehicles is greatly increased, so that the holding capacity of motor vehicles is sharply increased, and the influence on the atmospheric environment is gradually serious. Especially the emission of particulate matter from motor vehicles in cities is the main culprit of haze phenomena. The occupation of gasoline engine vehicles is far greater than that of diesel vehicles, hybrid vehicles and electric vehicles, and the emission of gasoline engines is directly related to automobile exhaust serving as one of particulate pollution sources. At present, a plurality of devices are already provided for vehicle pollutant particulate matter quality emission conversion treatment and particle quantity emission treatment, but the conversion state and the conversion result of the acquisition device cannot be displayed in real time and the processing result cannot be effectively displayed. At present, the condition of particulate matters discharged by vehicle tail gas cannot be subdivided and quantified all the time, and meanwhile, due to the difference of regions, the qualified standards of the tail gas discharge conversion in all the places are different, so that an algorithm suitable for the real-time detection of the tail gas discharge of gasoline engine vehicles is lacked.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method for detecting the qualification of the vehicle exhaust emission, which is used for calculating the qualification of the real-time monitoring of the vehicle exhaust emission.
In order to achieve the purpose, the invention adopts the technical scheme that: a method for detecting the qualification of the vehicle exhaust emission comprises the following steps;
the method comprises the following steps: a user registers a vehicle at the cloud end and configures communication between a vehicle-mounted information terminal and the cloud end, the vehicle-mounted information terminal acquires and preprocesses partial data of vehicle tail gas detection and partial data of post-processing, and starts to upload the data to a data acquisition server;
step two: after receiving the data uploaded by the user, the data acquisition server analyzes the data and uploads the data to the data processing center; the data processing center processes the information; the data processing object comprises vehicle information, working parameter information, urban area information, longitude and latitude encryption and data storage; after the processing is finished, storing the processed data in a service database;
step three: the terminal data are uploaded to the cloud end through the network, and the dispatching core class stores the command requests into the command queue and sequentially executes the command requests; after data are collected, a data interface method is called to analyze and process the data and return the data to a dispatching core class, and the dispatching core class calls a tail gas detection qualified class for processing;
step four: the tail gas detection qualified type processes the analyzed vehicle tail gas emission data and the tail gas emission data after filtering and converting, automatically matches the corresponding local tail gas emission standard according to longitude and latitude and vehicle registration information, calculates the effect of a filtering and converting device according to data such as temperature, humidity and pressure and the like through a tail gas algorithm, and judges whether the tail gas reaches the standard to be discharged;
step five: the vehicle-mounted terminal sends tail gas and other working data, the acquisition server acquires corresponding urban area information according to the longitude and latitude in the position data after analyzing the tail gas and other working data, and the longitude and latitude are encrypted; the tail gas qualification detection class stores the processed data into a service database, and regularly updates the current position data of the vehicle according to the configuration of the server;
step six: monitoring the exhaust emission, wherein the qualified exhaust emission needs to continuously acquire vehicle exhaust emission data for a period of time; the port monitoring service is started in the acquisition server, after the application agent is successfully connected, the acquisition server directly forwards the received terminal data to the connected application agent, and the application agent forwards the terminal data to the connected monitoring terminal; the monitoring terminal forwards the downloading instruction to the acquisition server through the application agent, and the acquisition server sends the instruction to the cloud.
Furthermore, the vehicle-mounted information terminal acquisition in the first step is mainly to log in a core platform server through an account to acquire communication data of a legal VT, process the communication data, forward the communication data and store the communication data in a storage, and meanwhile, the vehicle-mounted information terminal acquisition comprises receiving an operation instruction of a user on the VT and forwarding the operation instruction to the specified VT through the core platform, so that real-time interaction between the user and the VT is realized.
Further, the vehicle information acquisition work in the data processing object in the second step mainly acquires the vehicle information at regular time through an acquisition server; the working parameter information regularly acquires working parameters through the acquisition server and is used for receiving the analysis of the terminal working parameter data; the information of the provincial city analyzes the data of the provincial city according to the longitude and latitude in the positioning data and stores the data in a database; encrypting the longitude and latitude: and encrypting the longitude and latitude in the positioning data, and then storing the data in a database. Data storage: and storing the vehicle exhaust emission data according to the vehicle sub-table.
Furthermore, the data acquisition server in the second step is generated through a lower-layer module, and interacts with the controller of the tail gas emission standard customization type through the scheduling core, and the controller of the tail gas emission standard customization type can be customized according to local requirements, so that the requirements of different places on the standard emission of the tail gas can be met.
Further, the scheduling core class in step three adopts a Mediator mode; the Command queue adopts a Command mode as an initiator of the forced separation Command and an executor of the Command.
Furthermore, the vehicle-mounted terminal in the fifth step adopts multi-thread analysis data and multi-thread storage data.
The invention has the beneficial effects that: the condition of particulate matters discharged by the vehicle tail gas can be effectively analyzed in real time by setting a detection method, and an algorithm suitable for real-time detection qualification of the tail gas discharge of the gasoline engine vehicle is calculated according to different regional standards; and displaying the processing result in real time according to the acquisition device; according to longitude and latitude and vehicle registration information, automatically matching corresponding local exhaust emission standards, calculating the effects of the filtering and converting device through the algorithm according to data such as temperature, humidity and pressure, and judging whether the exhaust reaches the standard or not. Meanwhile, the exhaust emission can be monitored in real time.
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FIG. 1 is a schematic structural diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood, however, that the description herein of specific embodiments is only intended to illustrate the invention and not to limit the scope of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, and the terms used herein in the specification of the present invention are for the purpose of describing particular embodiments only and are not intended to limit the present invention.
As shown in fig. 1, a method for detecting vehicle exhaust emission qualification includes the following steps;
the method comprises the following steps: a user registers a vehicle at the cloud end and configures communication between a vehicle-mounted information terminal and the cloud end, the vehicle-mounted information terminal acquires and preprocesses partial data of vehicle tail gas detection and partial data of post-processing, and starts to upload the data to a data acquisition server;
step two: after receiving the data uploaded by the user, the data acquisition server analyzes the data and uploads the data to the data processing center; the data processing center processes the information; the data processing object comprises vehicle information, working parameter information, urban area information, longitude and latitude encryption and data storage; after the processing is finished, storing the processed data in a service database;
step three: the terminal data are uploaded to the cloud end through the network, and the dispatching core class stores the command requests into the command queue and sequentially executes the command requests; after data are collected, a data interface method is called to analyze and process the data and return the data to a dispatching core class, and the dispatching core class calls a tail gas detection qualified class for processing;
step four: the tail gas detection qualified type processes the analyzed vehicle tail gas emission data and the tail gas emission data after filtering and converting, automatically matches the corresponding local tail gas emission standard according to longitude and latitude and vehicle registration information, calculates the effect of a filtering and converting device according to data such as temperature, humidity and pressure and the like through a tail gas algorithm, and judges whether the tail gas reaches the standard to be discharged;
step five: the vehicle-mounted terminal sends tail gas and other working data, the acquisition server acquires corresponding urban area information according to the longitude and latitude in the position data after analyzing the tail gas and other working data, and the longitude and latitude are encrypted; the tail gas qualification detection class stores the processed data into a service database, and regularly updates the current position data of the vehicle according to the configuration of the server;
step six: monitoring the exhaust emission, wherein the qualified exhaust emission needs to continuously acquire vehicle exhaust emission data for a period of time; the port monitoring service is started in the acquisition server, after the application agent is successfully connected, the acquisition server directly forwards the received terminal data to the connected application agent, and the application agent forwards the terminal data to the connected monitoring terminal; the monitoring terminal forwards the downloading instruction to the acquisition server through the application agent, and the acquisition server sends the instruction to the cloud.
The vehicle-mounted information terminal acquisition in the first step is mainly that communication data of legal VT is acquired by logging in a core platform server through an account, is processed, forwarded and stored in a storage, and meanwhile, an operation instruction of a user for the VT is received and is forwarded to the specified VT through the core platform, so that real-time interaction between the user and the VT is realized.
The vehicle information acquisition work in the data processing object in the second step mainly acquires the vehicle information regularly through an acquisition server; the working parameter information regularly acquires working parameters through the acquisition server and is used for receiving the analysis of the terminal working parameter data; the information of the provincial city analyzes the data of the provincial city according to the longitude and latitude in the positioning data and stores the data in a database; encrypting the longitude and latitude: and encrypting the longitude and latitude in the positioning data, and then storing the data in a database. Data storage: and storing the vehicle exhaust emission data according to the vehicle sub-table.
The data acquisition server in the second step is generated through a lower-layer module, and interacts with the controller of the tail gas emission standard customization type through the scheduling core, and the controller of the tail gas emission standard customization type can be customized according to local requirements, so that the requirements of different places on the standard emission of the tail gas can be met.
The scheduling core class in the third step adopts a Mediator mode; the Command queue adopts a Command mode as an initiator of the forced separation Command and an executor of the Command.
And the vehicle-mounted terminal in the fifth step adopts multi-thread analysis data and multi-thread storage data because the tail gas emission data volume of the terminal is huge, so that the storage and analysis efficiency of the data is improved.
The communication acquisition service is the core of a real-time monitoring and data acquisition service system, and is used for realizing communication with a software subsystem, a hardware terminal and remote equipment at the bottom layer, executing a downlink command, receiving uplink data and analyzing a protocol, and completing analysis and display driving of service data. It is both the communication hub and the service core of the system.
Data acquisition, data scheduling and tail gas qualification detection are separated layer by layer and are realized independently. Data acquisition is generated through a lower-layer module, and interacts with a controller of an exhaust emission standard customization class through a medium of a scheduling core; the controller 'tail gas emission standard customization class' can be customized according to local requirements, and can meet the requirements of different places on standard emission of tail gas. The "scheduling core class" uses the Mediator mode. The acquisition service adopts a real-time design mode of a microkernel. The Command queue adopts a Command mode: to force the separation of the initiator of the command from the executor of the command. The "service State machine" adopts the State mode: different acquisition control requirements can be flexibly realized through the abstract service state machine. Taking concurrency and performance into consideration, a real-time design mode of a channel is adopted: so as to improve the concurrency capability of the system and the throughput capability of the system as much as possible. Calculating whether the exhaust emission is qualified or not by calling the tail gas detection qualified class through the scheduling core class
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents or improvements made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (6)
1. A method for detecting the qualification of the vehicle exhaust emission is characterized by comprising the following steps;
the method comprises the following steps: a user registers a vehicle at the cloud end and configures communication between a vehicle-mounted information terminal and the cloud end, the vehicle-mounted information terminal acquires and preprocesses partial data of vehicle tail gas detection and partial data of post-processing, and starts to upload the data to a data acquisition server;
step two: after receiving the data uploaded by the user, the data acquisition server analyzes the data and uploads the data to the data processing center; the data processing center processes the information; the data processing object comprises vehicle information, working parameter information, urban area information, longitude and latitude encryption and data storage; after the processing is finished, storing the processed data in a service database;
step three: the terminal data are uploaded to the cloud end through the network, and the dispatching core class stores the command requests into the command queue and sequentially executes the command requests; after data are collected, a data interface method is called to analyze and process the data and return the data to a dispatching core class, and the dispatching core class calls a tail gas detection qualified class for processing;
step four: the tail gas detection qualified type processes the analyzed vehicle tail gas emission data and the tail gas emission data after filtering and converting, automatically matches the corresponding local tail gas emission standard according to longitude and latitude and vehicle registration information, calculates the effect of a filtering and converting device according to data such as temperature, humidity and pressure and the like through a tail gas algorithm, and judges whether the tail gas reaches the standard to be discharged;
step five: the vehicle-mounted terminal sends tail gas and other working data, the acquisition server acquires corresponding urban area information according to the longitude and latitude in the position data after analyzing the tail gas and other working data, and the longitude and latitude are encrypted; the tail gas qualification detection class stores the processed data into a service database, and regularly updates the current position data of the vehicle according to the configuration of the server;
step six: monitoring the exhaust emission, wherein the qualified exhaust emission needs to continuously acquire vehicle exhaust emission data for a period of time; the port monitoring service is started in the acquisition server, after the application agent is successfully connected, the acquisition server directly forwards the received terminal data to the connected application agent, and the application agent forwards the terminal data to the connected monitoring terminal; the monitoring terminal forwards the downloading instruction to the acquisition server through the application agent, and the acquisition server sends the instruction to the cloud.
2. The method as claimed in claim 1, wherein the vehicle-mounted information terminal acquisition in the first step is mainly logging in a core platform server through an account to acquire communication data of a legal VT, processing the communication data, forwarding the communication data to a storage, and receiving an operation instruction of a user on the VT and forwarding the operation instruction to the specified VT through the core platform, thereby realizing real-time interaction between the user and the VT.
3. The method for detecting the vehicle automobile exhaust emission qualification of claim 1, wherein the vehicle information acquisition work in the data processing object in the second step is mainly to acquire the vehicle information regularly through an acquisition server; the working parameter information regularly acquires working parameters through the acquisition server and is used for receiving the analysis of the terminal working parameter data; the information of the provincial city analyzes the data of the provincial city according to the longitude and latitude in the positioning data and stores the data in a database; encrypting the longitude and latitude: and encrypting the longitude and latitude in the positioning data, and then storing the data in a database. Data storage: and storing the vehicle exhaust emission data according to the vehicle sub-table.
4. The method for detecting the qualification of the vehicle and automobile exhaust emission according to claim 1, wherein the data acquisition server in the second step is generated by a lower module, and interacts with an exhaust emission standard customized controller through a scheduling core, wherein the exhaust emission standard customized controller can be customized according to local requirements, so that the requirements of different places on the standard exhaust emission can be met.
5. The method according to claim 1, wherein the scheduling core class in step three adopts a Mediator mode; the Command queue adopts a Command mode as an initiator of the forced separation Command and an executor of the Command.
6. The vehicle and automobile exhaust emission qualification detection method according to claim 1, wherein the vehicle-mounted terminal in the fifth step adopts multi-thread analysis data and multi-thread storage data.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114821855A (en) * | 2022-04-18 | 2022-07-29 | 深圳市元征科技股份有限公司 | Vehicle emission data monitoring method and device, terminal equipment and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102678237A (en) * | 2011-03-17 | 2012-09-19 | 通用汽车环球科技运作有限责任公司 | Method and system for controlling nitrogen oxides (NOx) conversion efficiency monitor |
| CN104601718A (en) * | 2015-01-30 | 2015-05-06 | 西华大学 | Remote real-time monitoring method of big-bus operating status, fuel consumption and exhaust gas emission and monitoring system thereof |
| CN106411998A (en) * | 2016-07-15 | 2017-02-15 | 南京邮电大学 | Prediction method for UBI (Usage-Based Insurance) system based on internet of vehicles big data |
| CN107219330A (en) * | 2017-04-27 | 2017-09-29 | 深圳市元征科技股份有限公司 | Vehicle exhaust monitoring method, system and computer-readable recording medium |
| CN206593868U (en) * | 2017-03-07 | 2017-10-27 | 上海市环境科学研究院 | The test equipment of tail-gas after treatment apparatus emission reduction effect |
| CN108093087A (en) * | 2018-01-22 | 2018-05-29 | 江苏徐工信息技术股份有限公司 | A kind of children's safety threat monitoring apparatus and method based on NB-IOT |
-
2019
- 2019-12-30 CN CN201911393906.3A patent/CN111323535A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102678237A (en) * | 2011-03-17 | 2012-09-19 | 通用汽车环球科技运作有限责任公司 | Method and system for controlling nitrogen oxides (NOx) conversion efficiency monitor |
| CN104601718A (en) * | 2015-01-30 | 2015-05-06 | 西华大学 | Remote real-time monitoring method of big-bus operating status, fuel consumption and exhaust gas emission and monitoring system thereof |
| CN106411998A (en) * | 2016-07-15 | 2017-02-15 | 南京邮电大学 | Prediction method for UBI (Usage-Based Insurance) system based on internet of vehicles big data |
| CN206593868U (en) * | 2017-03-07 | 2017-10-27 | 上海市环境科学研究院 | The test equipment of tail-gas after treatment apparatus emission reduction effect |
| CN107219330A (en) * | 2017-04-27 | 2017-09-29 | 深圳市元征科技股份有限公司 | Vehicle exhaust monitoring method, system and computer-readable recording medium |
| CN108093087A (en) * | 2018-01-22 | 2018-05-29 | 江苏徐工信息技术股份有限公司 | A kind of children's safety threat monitoring apparatus and method based on NB-IOT |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114821855A (en) * | 2022-04-18 | 2022-07-29 | 深圳市元征科技股份有限公司 | Vehicle emission data monitoring method and device, terminal equipment and medium |
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Application publication date: 20200623 |