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CN114637814A - Telemetering data processing method, system, device and storage medium - Google Patents

Telemetering data processing method, system, device and storage medium Download PDF

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Publication number
CN114637814A
CN114637814A CN202210256162.6A CN202210256162A CN114637814A CN 114637814 A CN114637814 A CN 114637814A CN 202210256162 A CN202210256162 A CN 202210256162A CN 114637814 A CN114637814 A CN 114637814A
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data
telemetering
telemetry
vehicle
judgment result
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程艾
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Ping An International Smart City Technology Co Ltd
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Ping An International Smart City Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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    • G06F16/245Query processing

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Abstract

The application discloses a telemetering data processing method, a system, a device and a storage medium, wherein the method comprises the steps of obtaining a telemetering data set of an automobile and first time data of a telemetering system; obtaining a first judgment result according to the telemetering environment data and a preset telemetering environment data threshold value; obtaining a second judgment result according to the telemetering vehicle state data and a preset vehicle state data threshold value; obtaining a third judgment result according to the telemetering time data and the first time data; performing identity verification according to the telemetering vehicle identity data to obtain a fourth judgment result; performing state judgment on the telemetering equipment according to the telemetering tail gas concentration data and the telemetering meteorological data to obtain a fifth judgment result; and obtaining the validity judgment result of the telemetering data set according to the validity of the first judgment result, the validity of the second judgment result, the validity of the third judgment result, the validity of the fourth judgment result and the validity of the fifth judgment result. The method and the device can be widely applied to the technical field of telemetry.

Description

Telemetering data processing method, system, device and storage medium
Technical Field
The present application relates to the field of telemetry, and in particular, to a method, system, apparatus, and storage medium for processing telemetry data.
Background
In recent years, along with the increasing severity of atmospheric environmental pollution, motor vehicle emission supervision becomes more and more important, and in many areas, in order to monitor the motor vehicle exhaust emission, remote motor vehicle exhaust monitoring equipment is additionally arranged on roads. However, due to the fact that the precision of the telemetering equipment is high, the telemetering equipment is affected by a plurality of factors, a large amount of telemetering data cannot accurately reflect the content of tail gas emitted by a motor vehicle, and therefore relevant personnel cannot judge an overproof vehicle according to the obtained telemetering data.
Therefore, there is a need to solve the problems of the related art.
Disclosure of Invention
The present application aims to solve at least one of the technical problems in the related art to some extent.
Therefore, an object of the embodiments of the present application is to provide a method, a system, a device and a storage medium for processing telemetry data, which can process a telemetry data set and improve the effectiveness of the telemetry data.
In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the application comprises the following steps:
in one aspect, an embodiment of the present application provides a telemetry data processing method, including:
acquiring a telemetering data set of the automobile and first time data of a telemetering system; wherein the telemetry data set comprises telemetry exhaust concentration data, telemetry time data, telemetry environment data, telemetry vehicle status data, telemetry vehicle identity data and telemetry meteorological data; obtaining a first judgment result according to the telemetering environment data and a preset telemetering environment data threshold value; obtaining a second judgment result according to the telemetering vehicle state data and a preset vehicle state data threshold value; obtaining a third judgment result according to the telemetering time data and the first time data; performing identity verification according to the telemetering vehicle identity data to obtain a fourth judgment result; carrying out telemetering equipment state judgment according to the telemetering tail gas concentration data and the telemetering meteorological data to obtain a fifth judgment result; and obtaining the validity judgment result of the telemetry data set according to the validity of the first judgment result, the validity of the second judgment result, the validity of the third judgment result, the validity of the fourth judgment result and the validity of the fifth judgment result.
In addition, a telemetry data processing method according to the above embodiment of the present application may further have the following additional technical features:
further, in an embodiment of the present application, the obtaining a first determination result according to the telemetry environment data and a preset telemetry environment data threshold includes: acquiring telemetering environment data; wherein the telemetry environment data comprises ambient temperature data, ambient humidity data and ambient wind speed data; comparing the environment temperature data with an environment temperature threshold, comparing the environment humidity data with an environment humidity threshold, and comparing the environment wind speed data with an environment wind speed threshold; and if the environment temperature data is greater than a first environment temperature threshold and less than a second environment temperature threshold, the environment humidity data is less than the environment humidity threshold, and the environment wind speed data is less than the environment wind speed threshold, determining that the first judgment result is that the telemetering environment data is valid.
Further, in an embodiment of the application, the obtaining a second determination result according to the telemetered vehicle state data and a preset vehicle state data threshold includes: acquiring vehicle state data; wherein the vehicle state data comprises vehicle speed data, vehicle acceleration data, and vehicle specific power data; comparing the vehicle speed data with a vehicle speed threshold value, comparing the vehicle acceleration data with a vehicle acceleration threshold value, comparing the vehicle specific power data with a vehicle specific power threshold value, and if the vehicle speed data is greater than a first speed threshold value and less than a second speed threshold value, the vehicle acceleration data is greater than the first acceleration threshold value and less than a second acceleration threshold value, and the vehicle specific power data is greater than the first specific power threshold value and less than the second specific power threshold value, determining that the second judgment result is that the vehicle state data is valid.
Further, in an embodiment of the application, the obtaining a third determination result according to the telemetry time data and the first time data includes: acquiring telemetry time data and first time data; the first time data comprises calibration starting time, calibration ending time, operation and maintenance starting time and operation and maintenance ending time; and if the telemetering time data does not belong to the time range between the calibration start time and the calibration end time, the telemetering time data does not belong to the time range between the operation and maintenance start time and the operation and maintenance end time, the time difference between the telemetering time data and the calibration end time is smaller than a preset first time threshold, and the time difference between the telemetering time data and the operation and maintenance end time is smaller than a preset second time threshold, determining that the third judgment result is that the telemetering time data is valid.
Further, in an embodiment of the present application, the performing identity verification according to the telemetry vehicle identity data to obtain a fourth determination result includes: acquiring vehicle identity data; the vehicle identity data comprises a vehicle license plate and a vehicle type; verifying whether the format of the vehicle license plate is consistent with a preset license plate format or not, and if so, obtaining a first verification result with a qualified result; verifying whether the vehicle type is consistent with preset vehicle type data or not, and if so, obtaining a second verification result with a qualified result; and if the first verification result and the second verification result are both qualified, determining that the fourth judgment result is that the telemetering vehicle identity data is valid.
Further, in an embodiment of the present application, the performing a telemetry device status judgment according to the telemetry tail gas concentration data and the telemetry meteorological data to obtain a fifth judgment result includes: acquiring telemetering tail gas concentration data, telemetering meteorological data and telemetering host measuring range; comparing the telemetering tail gas concentration data with the telemetering host range, and if the telemetering tail gas concentration data is larger than the minimum measurement value of the telemetering host range and smaller than the maximum measurement value of the telemetering host range, determining that the state of the telemetering host is normal; if the telemetering meteorological data meet the preset conditions, determining that the state of the telemetering meteorological instrument is normal; when the state of the telemetering host computer is normal and the state of the telemetering meteorological instrument is normal; determining that the telemetry device is valid as a result of the fifth determination.
Further, in an embodiment of the application, the obtaining a validity determination result of the telemetered exhaust gas concentration data according to the first determination result, the second determination result, the third determination result, the fourth determination result, and the fifth determination result includes: obtaining the validity of the first judgment result, the validity of the second judgment result, the validity of the third judgment result, the validity of the fourth judgment result and the validity of the fifth judgment result; and when the validity of the first judgment result, the validity of the second judgment result, the validity of the third judgment result, the validity of the fourth judgment result and the validity of the fifth judgment result are all valid, determining that the telemetry data set is a valid telemetry data set.
In another aspect, an embodiment of the present application provides a telemetry data processing system, including:
the system comprises an acquisition module, a data acquisition module and a data acquisition module, wherein the acquisition module is used for acquiring a telemetering data set of an automobile and first time data of a telemetering system, and the telemetering data set comprises telemetering exhaust gas concentration data, telemetering time data, telemetering environment data, telemetering vehicle state data, telemetering vehicle identity data and telemetering meteorological data; the first time data comprises calibration start time, calibration end time, operation and maintenance start time and operation and maintenance end time;
the first processing module is used for obtaining a first judgment result according to the telemetering environment data and a preset telemetering environment data threshold;
the second processing module is used for obtaining a second judgment result according to the telemetering vehicle state data and a preset vehicle state data threshold value;
the third processing module is used for obtaining a third judgment result according to the telemetering time data and the first time data;
the fourth processing module is used for carrying out identity verification according to the telemetering vehicle identity data to obtain a fourth judgment result;
the fifth processing module is used for judging the state of the telemetering equipment according to the telemetering tail gas concentration data and the telemetering meteorological data to obtain a fifth judgment result;
and a sixth processing module, configured to obtain a validity determination result of the telemetry data set according to the validity of the first determination result, the validity of the second determination result, the validity of the third determination result, the validity of the fourth determination result, and the validity of the fifth determination result.
In another aspect, an embodiment of the present application provides a telemetry data processing apparatus, including:
at least one processor;
at least one memory for storing at least one program;
the at least one program, when executed by the at least one processor, causes the at least one processor to implement the telemetry data processing method described above.
In another aspect, an embodiment of the present application further provides a computer-readable storage medium, in which a program executable by a processor is stored, and the program executable by the processor is used for implementing the telemetry data processing method when executed by the processor.
Advantages and benefits of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application:
the method, the system, the device and the storage medium for processing the telemetering data disclosed by the embodiment of the application have the advantages that the telemetering environmental data, the telemetering vehicle state data, the preset environmental data threshold value and the preset telemetering vehicle state data threshold value are concentrated by simultaneously comparing the telemetering data of the automobile; according to the telemetering time data and the time data of the system, vehicle identity data are verified, and the validity of a telemetering data set of the automobile is judged through telemetering tail gas concentration data and telemetering meteorological data; the effective telemetering data set can be selected from a plurality of telemetering data sets, accuracy and effectiveness of the data set are improved, the effective telemetering data can provide reliable basis for subsequent screening of vehicles with tail gas exceeding standards, and evidence support can be made for penalty of subsequent vehicles with exceeding standards.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings of the embodiments of the present application or the related technical solutions in the prior art are described below, it should be understood that the drawings in the following description are only for convenience and clarity of describing some embodiments of the technical solutions of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic representation of the steps of a telemetry data processing method provided in an embodiment of the present application;
fig. 2 is a schematic diagram illustrating a step of obtaining a first determination result according to telemetry environment data and a preset telemetry environment data threshold in a telemetry data processing method provided in an embodiment of the present application;
fig. 3 is a schematic diagram illustrating a step of obtaining a second determination result according to telemetered vehicle state data and a preset vehicle state data threshold in a telemetered data processing method provided in an embodiment of the present application;
fig. 4 is a schematic diagram illustrating a step of obtaining a third determination result according to telemetry time data and the first time data in a telemetry data processing method provided in an embodiment of the present application;
fig. 5 is a schematic diagram illustrating a step of performing identity verification according to telemetered vehicle identity data to obtain a fourth determination result in the telemetered data processing method provided in the embodiment of the present application;
fig. 6 is a schematic diagram illustrating a step of performing a telemetry device state judgment according to telemetry tail gas concentration data and the telemetry meteorological data to obtain a fifth judgment result in a telemetry data processing method provided in an embodiment of the present application;
fig. 7 is a schematic diagram illustrating a step of obtaining a validity determination result of telemetric exhaust gas concentration data according to a first determination result, a second determination result, a third determination result, a fourth determination result, and a fifth determination result in a telemetric data processing method provided in an embodiment of the present application;
FIG. 8 is a schematic diagram of a telemetry data processing system provided in an embodiment of the present application;
fig. 9 is a schematic structural diagram of a telemetry data processing apparatus provided in an embodiment of the present application.
Detailed Description
The present application is further described with reference to the following figures and specific examples. The described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person skilled in the art without making any inventive step are within the scope of protection of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
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 application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.
Before further detailed description of the embodiments of the present application, terms and expressions referred to in the embodiments of the present application will be described, and the terms and expressions referred to in the embodiments of the present application will be used for the following explanation.
1) The remote measurement is mainly used for intensively detecting scattered or difficultly-approached measured objects, such as the measured objects which are far away, are in a severe environment or are in a high-speed motion state. The remote measurement information is real-time parameters of the operation of the power system, such as the output of a generator, the bus voltage, the power flow in the system, the active load and the reactive load, the line current, the electricity measurement and other measurement information, which are acquired by the remote measurement terminal. Telemetry is widely used in national economy, scientific research, military technology, and other fields. Centralized monitoring can be realized by utilizing remote measurement, the automation level is improved, the labor productivity is improved, the labor condition is improved, and the scheduling quality is improved. The remote measurement provides an important test means for scientific research, so that the important dynamic performance data can be obtained from the research projects which are difficult to carry out actual measurement originally. The actual telemetry system comprises sensors, communication equipment and data processing equipment. Sensing technology and signal transmission technology are two key technologies of remote measurement. The accuracy, response speed and reliability of the sensors, and the transmission speed and interference rejection of the communication system, among other things, determine the performance of the telemetry system. Modern telemetry systems are widely used with advanced devices such as high precision sensors, digital communications and electronic computers, the most advanced of which is the aerospace telemetry system. Telemetry systems can also be considered a special class of communication systems, and thus telemetry is often classified by signal transmission, such as wired and wireless telemetry, time and frequency division telemetry, analog and digital telemetry, real-time telemetry and cyclic telemetry, etc. With the progress of modern technology, telemetry is also increasingly applied to monitoring of daily data.
In recent years, with the increasing severity of atmospheric environmental pollution, how to accurately monitor and effectively supervise the exhaust emission of the motor vehicle becomes more and more important, and in the traditional monitoring of the exhaust emission of the motor vehicle, a roadside spot inspection method is usually adopted to monitor the exhaust emission of the motor vehicle, but the monitoring mode not only wastes manpower and material resources, but also easily causes traffic jam, and related personnel also easily inhale the exhaust in the detection process, thus threatening the physical health of the related personnel. With the development of science and technology, in order to overcome the defects that the traditional tail gas detection method wastes manpower and material resources and threatens the health of related personnel, motor vehicle tail gas remote sensing monitoring equipment is additionally arranged on roads in more and more areas for monitoring the tail gas emission of motor vehicles, and the conventional motor vehicle remote sensing monitoring equipment can comprise a light source transmitting end, a light source receiving end, a speed/acceleration detection system, an industrial control host, a micro meteorological station and a license plate capturing system. The light source emitting end adopts infrared spectrum, ultraviolet spectrum difference technology and image recognition technology, can carry out effective detection to motor vehicle exhaust pollutant in the road is traveling, detects pollution factor and includes carbon monoxide (CO), carbon dioxide (CO2), Hydrocarbon (HC), oxynitrides (NO) and Opacity (OP), and the license plate capture system can carry out automatic identification and storage to the vehicle license plate. In addition, the motor vehicle tail gas remote sensing monitoring equipment can also detect and store vehicle speed/acceleration, traffic flow, environmental meteorological parameters and the like, and the quality of pollutant data of the motor vehicle tail gas remote sensing monitoring system is guaranteed. However, the motor vehicle remote sensing monitoring equipment needs to be arranged in outdoor environments such as highways or streets for a long time, and due to the high precision of the motor vehicle remote sensing monitoring equipment, the motor vehicle remote sensing monitoring equipment is likely to be influenced by factors such as the state of a remote sensing object, self equipment, outdoor weather, environmental humidity and environmental temperature during outdoor remote sensing, so that the remote sensing data of the motor vehicle remote sensing monitoring equipment cannot accurately reflect the exhaust emission content of a motor vehicle, the effectiveness of the remote sensing data is influenced, and related departments cannot be effectively assisted to effectively monitor the exhaust emission of the motor vehicle.
Thus, referring to FIG. 1, the present application is directed to a method of telemetry data processing that may determine the validity of a telemetry data set by telemetry time data, telemetry environment data, telemetry vehicle status data, telemetry vehicle identity data, and telemetry meteorological data that may include the following steps S1, S2, S3, S4, S5, S6, and S7:
s1, acquiring a telemetering data set of the automobile and first time data of the telemetering system; wherein the telemetry data set comprises telemetry exhaust concentration data, telemetry time data, telemetry environment data, telemetry vehicle status data, telemetry vehicle identity data and telemetry meteorological data;
in this embodiment of the application, the first time data may be a calibration start time, a calibration end time, an operation and maintenance start time, and an operation and maintenance end time for the telemetry system to perform calibration; the telemetering data set can be a multidimensional data set acquired by telemetering equipment, wherein the telemetering data set can comprise telemetering exhaust gas concentration data, telemetering time data, telemetering environment data, telemetering vehicle state data, telemetering vehicle identity data and telemetering meteorological data, and the exhaust gas concentration data can comprise the concentrations of carbon monoxide, hydrocarbons, carbon dioxide, nitrogen oxides and lead particles; the telemetry data set and the first time data can be acquired through network data transmission or a cloud platform.
S2, obtaining a first judgment result according to the telemetering environment data and a preset telemetering environment data threshold;
in the embodiment of the application, the telemetering environmental data of the telemetering data set mainly refers to several environmental data which can affect the accuracy of the telemetering tail gas concentration data, and therefore, the environmental data can include the relative humidity of the environment, the environmental temperature and the environmental wind speed; in the telemetry process, because relative humidity, ambient temperature and ambient wind speed may change, when telemetry tail gas data obtained by telemetry equipment in an environment with environmental parameter change may have deviation, thereby affecting the effectiveness and accuracy of a telemetry data set, and the environmental parameter change may be that the ambient wind speed is greater than the normal telemetry wind speed, the humidity is greater than the normal telemetry relative humidity, or the ambient temperature does not conform to the normal telemetry temperature condition, therefore, in the application embodiment, a corresponding telemetry environmental data threshold value may be set, the telemetry environmental data threshold value may be one threshold value, or a threshold value range limited by two threshold values, or a plurality of threshold values, and whether the environmental data in the telemetry data set is effective can be judged by the telemetry environmental data threshold value, and may then determine whether the entire telemetry data set is valid.
Further, referring to fig. 2, the obtaining a first determination result according to the telemetry environment data and a preset telemetry environment data threshold may include:
s21, acquiring telemetering environment data; wherein the telemetry environment data comprises ambient temperature data, ambient humidity data and ambient wind speed data;
s22, comparing the environmental temperature data with an environmental temperature threshold, comparing the environmental humidity data with an environmental humidity threshold, and comparing the environmental wind speed data with an environmental wind speed threshold;
s23, if the environment temperature data is larger than a first environment temperature threshold value and smaller than a second environment temperature threshold value, the environment humidity data is smaller than the environment humidity threshold value, and the environment wind speed data is smaller than the environment wind speed threshold value, it is determined that the first judgment result is that the telemetering environment data is effective.
In this embodiment of the present application, the environmental data may include environmental temperature data, environmental humidity data, and environmental wind speed data, and the validity of the telemetry environmental data in the telemetry data set may be determined by comparing the environmental temperature data, the environmental humidity data, and the environmental wind speed data with a corresponding preset environmental temperature threshold, an environmental humidity threshold, and an environmental wind speed threshold, specifically, in this embodiment of the present application, a first threshold of an environmental temperature may be set to-20 degrees celsius, and a second threshold of an environmental temperature is 45 degrees celsius, and when the environmental temperature data in the telemetry data set is any one value in a range greater than-20 degrees and less than 45 degrees, the environmental temperature data is valid data; the environmental humidity threshold value can be set to 85%, and when the environmental humidity data in the telemetry data set is less than 85%, the environmental humidity data is valid data; the threshold value of the ambient wind speed can be set to be 5m/s, and when the wind speed data is smaller than the threshold value of the ambient wind speed, the ambient wind speed data is valid data.
S3, obtaining a second judgment result according to the telemetering vehicle state data and a preset vehicle state data threshold value;
in the embodiment of the application, the telemetered vehicle state data can have a certain influence on the telemetered exhaust gas concentration data, and the telemetered vehicle state data can comprise vehicle speed, vehicle acceleration and vehicle specific power; when the vehicle speed is too fast, due to molecular motion and tail gas diffusion, telemetered tail gas data obtained by a telemetering system may be smaller than actual vehicle tail gas concentration data, and when the vehicle speed is too slow, the telemetered tail gas data may be larger than the actual vehicle tail gas concentration data; similarly, when the acceleration is too large or too small and the specific power of the vehicle is too large or too small, the telemetering exhaust gas data is also different from the actual exhaust gas concentration data of the vehicle; when the vehicle speed, the vehicle acceleration and the vehicle specific power in the vehicle state data do not accord with the preset vehicle state data threshold, the second judgment result is that the vehicle state data are invalid, and when the vehicle speed, the vehicle acceleration and the vehicle specific power in the vehicle state data accord with the preset vehicle state data threshold, the second judgment result is that the vehicle state data are valid; therefore, for the processing of the telemetry data set, the vehicle state data needs to be compared based on the preset vehicle state data, in some embodiments of the present application, the preset vehicle state data threshold may be a certain determined numerical value, and a person related to the numerical value may preset according to the precision of the device or an application scenario, or may be a certain set threshold range, and determine whether the state data of the vehicle in the telemetry data set is valid or not according to a comparison result.
Further, referring to fig. 3, the obtaining a second determination result according to the telemetered vehicle state data and a preset vehicle state data threshold may include:
s31, acquiring vehicle state data; wherein the vehicle state data may include vehicle speed data, vehicle acceleration data, and vehicle specific power data;
s32, comparing the vehicle speed data with a vehicle speed threshold value, comparing the vehicle acceleration data with a vehicle acceleration threshold value, and comparing the vehicle specific power data with a vehicle specific power threshold value;
s33, if the vehicle speed data is larger than a first speed threshold value and smaller than a second speed threshold value; and the vehicle acceleration data is greater than a first acceleration threshold and less than a second acceleration threshold; and if the vehicle specific power data is larger than a first specific power threshold and smaller than a second specific power threshold, determining that the second judgment result is that the vehicle state data is valid.
In this embodiment of the application, the vehicle speed data may be compared with a preset first speed threshold and a preset second speed threshold, where the first speed threshold is smaller than the second speed threshold, the first speed threshold and the second speed threshold may be obtained according to specific road conditions and experimental data, and the first speed threshold and the second speed threshold may determine that the telemetry data set is valid within a certain vehicle speed range. The first acceleration threshold and the second acceleration threshold may determine that the telemetry data set is valid over a range of vehicle accelerations. Specifically, in the embodiment of the present application, the first speed threshold may be set to 0m/s, and the second speed threshold may be set to 27m/s when the vehicle is at speedWhen the degree data is more than 0m/s and less than 27m/s, the vehicle speed data is valid data; the first acceleration threshold may be set to 0m/s2The second acceleration threshold is 10m/s2Acceleration data of vehicle is greater than 0m/s2And less than 10m/s2When the vehicle acceleration data is valid data; the first specific power threshold value can be set to be 0kw/T, the second specific power threshold value can be set to be 20kw/T, and when the vehicle specific power data is larger than 0kw/T and smaller than 20kw/T, the vehicle specific power data is valid data. And when the vehicle speed, the vehicle acceleration data and the vehicle specific power data are all valid, the vehicle state data are valid data.
S4, obtaining a third judgment result according to the telemetering time data and the first time data;
in this embodiment, the telemetry time data may be data of a time node generated by each telemetry data set, for example, if the telemetry system performs telemetry once on a roadside vehicle at 18 minutes and 01 seconds at 9, 15 and 18 days 2021, and generates one telemetry data set, the telemetry time data is 18 minutes and 01 seconds at 18 hours and 15 days 2021, 9, 15 and 18 days, and the first time data may be time data of operation and calibration of the telemetry system, which may include system calibration start time, calibration end time, operation and maintenance start time, and operation and maintenance end time. Usually, the telemetry system can telemeter to obtain a telemetry data set which can effectively reflect the automobile after the system calibration is finished or the system is in operation and maintenance, so that when the telemetry data is processed, the telemetry system needs to carry out operation and maintenance and calibration at regular time in order to improve the accuracy of telemetry, and during the process of the telemetry system calibration and operation and maintenance, the telemetry system still possibly telemeters the vehicle, thereby generating corresponding telemetry data; therefore, in the process of the telemetering data, whether the telemetering time data belongs to the time range of the calibration starting time and the system calibration ending time of the telemetering system and the time range of the system operation and maintenance starting time and the system operation and maintenance ending time is judged, if the telemetering time data does not belong to the time range of the calibration starting time and the system calibration ending time of the telemetering system and does not belong to the time range of the system operation and maintenance starting time and the system operation and maintenance ending time, the third judgment result is that the telemetering time data is valid, and if the telemetering time data belongs to the time range of the calibration starting time and the system calibration ending time of the telemetering system or the time range of the system operation and maintenance starting time and the system operation and maintenance ending time, the third judgment result is that the telemetering time data is invalid.
Further, referring to fig. 4, the obtaining a third determination result according to the telemetry time data and the first time data may include:
s41, acquiring telemetering time data and first time data; the first time data comprises calibration starting time, calibration ending time, operation and maintenance starting time and operation and maintenance ending time;
s42, if the telemetry time data does not belong to the time range between the calibration start time and the calibration end time, the telemetry time data does not belong to the time range between the operation and maintenance start time and the operation and maintenance end time, the time difference between the telemetry time data and the calibration end time is smaller than a preset first time threshold, and the time difference between the telemetry time data and the operation and maintenance end time is smaller than a preset second time threshold, determining that the third judgment result is that the telemetry time data is valid.
Specifically, in this embodiment of the present application, the preset first time threshold may be set to 5 hours, the preset second time threshold may be set to 4 hours, the calibration start time may be 2 pm, the calibration end time may be 2 pm, the system operation and maintenance start time may be 3 pm, and the system operation and maintenance end time may be 3 pm; when the telemetering time data does not belong to the time range between the calibration starting time and the calibration ending time, namely the time range from 2 o 'clock to 2 o' clock half in the afternoon, and does not belong to the time range between the operation and maintenance starting time and the operation and maintenance ending time, namely the time range from 3 o 'clock to 3 o' clock half, the difference between the telemetering time data and the calibration ending time is less than 5 hours, the difference between the telemetering time data and the operation and maintenance ending time is less than 4 hours, and the four conditions are met, the telemetering time data is valid data; if any one of the four conditions is not satisfied, for example, when the telemetry time data belongs to a time range between the calibration start time and the calibration end time, that is, a time range from 2 o 'clock to 2 o' clock half of the afternoon, the telemetry time data is invalid data.
S5, performing identity verification according to the telemetering vehicle identity data to obtain a fourth judgment result;
in the embodiment of the application, in order to subsequently use the telemetry data set for tail gas supervision, the telemetry data set generally needs to include telemetry vehicle identity data, whether the vehicle is an overproof vehicle can be judged through the vehicle identity and the telemetry tail gas concentration, and when the telemetry process is carried out, the telemetry system can measure the vehicle tail gas concentration and acquire the identity data of the vehicle through roadside acquisition equipment, so that when the validity of the telemetry data set is judged, the identity of the vehicle needs to be verified, whether the identity of the vehicle is valid is determined through the acquired vehicle identity data and vehicle identity information stored in a database, and if the acquired vehicle identity data corresponds to the vehicle identity information stored in the database, a fourth judgment result is that the telemetry vehicle identity data is valid; and if the acquired vehicle identity data cannot correspond to the vehicle identity information stored in the database, the fourth judgment result is that the telemetered vehicle identity data is valid.
Further, referring to fig. 5, the performing identity verification according to the telemetry vehicle identity data to obtain a fourth determination result may specifically include:
s51, acquiring vehicle identity data; the vehicle identity data comprises a vehicle license plate and a vehicle type;
s52, verifying whether the format of the vehicle license plate is consistent with a preset license plate format or not, and if so, obtaining a first verification result with a qualified result;
s53, verifying whether the vehicle type is consistent with preset vehicle type data or not, and if so, obtaining a second verification result with a qualified result;
and S54, if the first verification result and the second verification result are both qualified, determining that the fourth judgment result is that the telemetering vehicle identity data is valid.
In the embodiment of the application, the vehicle identity data can comprise a vehicle license plate and a vehicle type; the two data can verify the type of the vehicle, the license plate number and the vehicle license plate can also be used for distinguishing the fuel of the vehicle, if the green license plate is an electric vehicle and the blue license plate is a common vehicle, related personnel can centrally find out the corresponding vehicle and the tail gas emission of the vehicle from the telemetering data through the vehicle identity data, and help is provided for the effective supervision of the subsequent tail gas emission; the format verification of the vehicle license plate can preset a license plate format, if the number of the preset license plate is 7 bits, when the vehicle license plate data in the telemetering data set is less than 7 bits, the vehicle is possibly shielded or not provided with a license plate in telemetering, the corresponding telemetering data set is invalid, when the vehicle license plate data in the telemetering data set conforms to the preset 7 bits, the vehicle license plate in the telemetering data set is valid, and when the vehicle license plate data is valid, the telemetering data is possibly valid; the vehicle type verification can be performed through a preset type database, vehicle type data captured by the telemetering equipment is compared with data in the preset vehicle type database, and if a corresponding vehicle type exists in the corresponding vehicle type database, the vehicle type verification is effective; and when the vehicle type data and the license plate data are qualified, the vehicle identity data in the telemetering data set is valid. If the license plate verification is not passed or the vehicle type verification is not passed, the telemetering vehicle identity data is invalid, and when the telemetering vehicle identity data is invalid, the telemetering data set is an invalid data set.
S6, performing telemetering equipment state judgment according to the telemetering tail gas concentration data and the telemetering meteorological data to obtain a fifth judgment result;
in the embodiment of the application, the telemetering equipment may include a meteorological instrument and a telemetering host, because the telemetering equipment is located outdoors for a long time, the telemetering host and the meteorological instrument are prone to failure under the influence of an outdoor environment, when the telemetering host and the meteorological instrument are in failure, the concentration data of telemetering tail gas may appear to be larger than a concentration range or smaller than the concentration range, or may appear to be abnormal data, such as approaching a range end point, or an abnormal value obviously larger than the road condition tail gas measurement mean value, and the telemetering data may exist in a set, which finally results in that the telemetering data cannot effectively reflect the concentration of the tail gas of the automobile. Therefore, when the telemetering data is processed, the state of the telemetering equipment needs to be judged, the state of the telemetering equipment can be judged through the data collected by the weather instrument and the telemetering host, and if the states of the weather instrument and the telemetering host are both normal, the fifth judgment result is that the telemetering equipment is effective; and if one of the states of the meteorological instrument or the telemetering host is a fault, judging that the telemetering equipment is invalid according to a fifth judgment result.
Further, referring to fig. 6, the performing the telemetry equipment state judgment according to the telemetry exhaust gas concentration data and the telemetry meteorological data to obtain a fifth judgment result may include:
s61, acquiring telemetering tail gas concentration data, telemetering meteorological data and telemetering host measuring range;
s62, comparing the telemetering tail gas concentration data with the telemetering host range, and if the telemetering tail gas concentration data is larger than the minimum measurement value of the telemetering host range and smaller than the maximum measurement value of the telemetering host range, determining that the state of the telemetering host is normal;
s63, if the telemetering meteorological data meet the preset conditions, determining that the state of the telemetering meteorological instrument is normal;
s64, when the state of the telemetry host computer is normal and the state of the telemetry meteorological instrument is normal; determining that the telemetry device is valid as a result of the fifth determination.
In the embodiment of the application, the system equipment needing to judge the equipment state mainly comprises a meteorological instrument and a telemetering host, wherein the telemetering host is mainly used for detecting the concentration of the tail gas of the vehicle; the state of the weather instrument can be judged whether to be normal or not through the telemetering meteorological data, therefore before the state of the equipment is judged, the vehicle exhaust concentration data, the telemetering meteorological data and the telemetering host range need to be obtained firstly, and after the vehicle exhaust concentration data, the telemetering meteorological data and the telemetering host range are obtained, a judgment condition of the vehicle exhaust concentration data can be preset, therefore, in the embodiment of the application, the preset condition can be whether the vehicle exhaust concentration data falls into the range of the telemetering host, namely whether the vehicle exhaust concentration data is larger than the minimum measuring value and smaller than the maximum measuring value of the telemetering host range; when the concentration of the vehicle exhaust in the telemetering data set is larger than the maximum measurement value of the telemetering host range or smaller than the minimum measurement value of the telemetering host range, the concentration of the vehicle exhaust in the telemetering data set is an abnormal value, and the concentration of the vehicle exhaust at the moment can not accurately reflect the actual exhaust emission concentration; when the concentration of the tail gas of the vehicle in the telemetering data set is greater than the minimum measurement value of the telemetering host range and less than the maximum measurement value of the telemetering host range, the telemetering meteorological data mainly comprise five parameters including wind speed, wind direction, temperature, air pressure and relative humidity, and if the telemetering data set obtained through telemetering comprises five parameters including wind speed, wind direction, temperature, air pressure and relative humidity, the state of the telemetering meteorological instrument can be judged to be normal; if one of the five parameters of the wind speed, the wind direction, the temperature, the air pressure and the relative humidity in the telemetering data set is obtained through telemetering, the state of the telemetering meteorological instrument can be judged to be a fault, when the state of the telemetering host is normal and the state of the telemetering meteorological instrument is also normal, the fifth judgment result is that the telemetering equipment is effective, and when the validity of the telemetering data is judged and when the telemetering equipment is normal, the telemetering data can be normal.
In the embodiment of the application, when the state of the telemetering host is normal and the state of the telemetering weather instrument is also normal, the fifth judgment result is that the telemetering equipment is effective, and when the validity of telemetering data is judged, when the telemetering equipment is normal, the data obtained by telemetering is possible to be normal.
S7, obtaining an effectiveness judgment result of the telemetry data set according to the effectiveness of the first judgment result, the effectiveness of the second judgment result, the effectiveness of the third judgment result, the effectiveness of the fourth judgment result and the effectiveness of the fifth judgment result;
in the embodiment of the application, the validity of the first judgment result can be used for representing that the telemetry environment data in the telemetry data set is valid data or invalid data; the validity of the second determination may be used to characterize the telemetry vehicle status data as valid data or invalid data; the validity of the third judgment result can be used for representing that the telemetering equipment detects that the telemetering data set is valid data or invalid data in the telemetering time data; the validity of the fourth judgment result can be used for representing whether the telemetering vehicle identity is traceable vehicle identity data of the database or not, and the validity of the fifth judgment result can be used for representing whether the telemetering equipment is normal telemetering equipment or not during telemetering; the effectiveness judgment result of the telemetering data set comprises two results of telemetering data set effectiveness and telemetering data set ineffectiveness; the effective telemetering data set is used for representing the telemetering data set which can accurately reflect the identity of the vehicle and the corresponding tail gas concentration data of the vehicle, and can be used as a data set for screening data of vehicles exceeding standards; the invalid telemetry data set can be used for representing the telemetry data set which cannot accurately reflect the identity of the vehicle and the corresponding exhaust gas concentration data of the vehicle; therefore, when the telemetering time data, the telemetering environment data, the telemetering vehicle state data or the state of the telemetering equipment in the telemetering data set does not meet the set conditions, the corresponding telemetering exhaust gas data does not accurately reflect the most real exhaust emission data of the detected vehicle, so the corresponding telemetering data set is an invalid telemetering data set, and when the identity information of the vehicle is abnormal, the corresponding telemetering data set cannot be used as a data basis for subsequently screening out vehicles exceeding the standard due to unclear identity data, so the telemetering data set with abnormal identity information is also an invalid telemetering data set. Therefore, the validity determination result of the telemetry data set can be obtained by the validity of the first determination result, the validity of the second determination result, the validity of the third determination result, the validity of the fourth determination result, and the validity of the fifth determination result.
Further, referring to fig. 7, the obtaining a validity determination result of the telemetric exhaust gas concentration data according to the first determination result, the second determination result, the third determination result, the fourth determination result, and the fifth determination result may include:
s71, obtaining the validity of the first judgment result, the validity of the second judgment result, the validity of the third judgment result, the validity of the fourth judgment result and the validity of the fifth judgment result;
and S72, when the validity of the first judgment result, the validity of the second judgment result, the validity of the third judgment result, the validity of the fourth judgment result and the validity of the fifth judgment result are all valid, determining that the telemetering data set is a valid telemetering data set.
Specifically, in the embodiment of the present application, after obtaining the validity of a first determination result, the validity of a second determination result, the validity of a third determination result, the validity of a fourth determination result, and the validity of a fifth determination result, a logic and operation may be performed on each determination result, and when the first determination result, the second determination result, the third determination result, the fourth determination result, and the fifth determination result are all valid, a corresponding telemetry data set is a valid telemetry data set; when any one of the first judgment result, the second judgment result, the third judgment result, the fourth judgment result and the fifth judgment result is invalid, the corresponding telemetering data set is an invalid telemetering data set, the valid telemetering data set can accurately reflect the identity information, the state information and the tail gas emission concentration data of the detected vehicle in the telemetering process, and a powerful basis is provided for subsequent screening of vehicles exceeding the standard.
Referring to fig. 8, an embodiment of the present application further provides a telemetry data processing system, including:
the acquisition module 101 is used for acquiring a telemetering data set of the automobile and first time data of a telemetering system, wherein the telemetering data set comprises telemetering exhaust gas concentration data, telemetering time data, telemetering environment data, telemetering vehicle state data, telemetering vehicle identity data and telemetering meteorological data;
the first processing module 102 is configured to obtain a first determination result according to the telemetry environment data and a preset telemetry environment data threshold;
the second processing module 103 is configured to obtain a second judgment result according to the telemetered vehicle state data and a preset vehicle state data threshold;
a third processing module 104, configured to obtain a third determination result according to the telemetry time data and the first time data;
the fourth processing module 105 is configured to perform identity verification according to the telemetry vehicle identity data to obtain a fourth determination result;
the fifth processing module 106 is configured to perform telemetry equipment state judgment according to the telemetry tail gas concentration data and the telemetry meteorological data to obtain a fifth judgment result;
a sixth processing module 107, configured to obtain a validity determination result of the telemetry data set according to the validity of the first determination result, the validity of the second determination result, the validity of the third determination result, the validity of the fourth determination result, and the validity of the fifth determination result.
Referring to fig. 9, an embodiment of the present application further discloses a telemetry data processing apparatus, including:
at least one processor 1011;
at least one memory 1012 for storing at least one program;
when executed by the at least one processor 1011, the at least one program causes the at least one processor 1011 to implement an embodiment of a telemetry data processing method as shown in fig. 1.
It is understood that the embodiment of the telemetry data processing method shown in fig. 1 is applicable to the embodiment of the computer device, the functions implemented by the embodiment of the computer device are the same as those of the embodiment of the telemetry data processing method shown in fig. 1, and the beneficial effects achieved by the embodiment of the telemetry data processing method shown in fig. 1 are also the same as those achieved by the embodiment of the telemetry data processing method shown in fig. 1.
Also disclosed in embodiments herein is a computer-readable storage medium having stored therein a program executable by a processor, the program executable by the processor when executed by the processor being configured to implement the telemetry data processing method embodiment shown in fig. 1.
It is understood that the embodiment of the telemetry data processing method shown in fig. 1 is applicable to the embodiment of the computer-readable storage medium, the functions implemented by the embodiment of the computer-readable storage medium are the same as those of the embodiment of the telemetry data processing method shown in fig. 3, and the advantageous effects achieved by the embodiment of the telemetry data processing method shown in fig. 1 are also the same as those achieved by the embodiment of the telemetry data processing method shown in fig. 1.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present application are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present application is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the functions and/or features may be integrated in a single physical device and/or software module, or one or more functions and/or features may be implemented in a separate physical device or software module. It will also be appreciated that a detailed discussion regarding the actual implementation of each module is not necessary for an understanding of the present application. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the present application as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the application, which is defined by the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the foregoing description of the specification, reference to the description of "one embodiment/example," "another embodiment/example," or "certain embodiments/examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that: numerous changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the application, the scope of which is defined by the claims and their equivalents.
While the present application has been described with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims
In the description herein, references to the description of the term "one embodiment," "another embodiment," or "certain embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that: numerous changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the application, the scope of which is defined by the claims and their equivalents.

Claims (10)

1. A telemetry data processing method, comprising:
acquiring a telemetering data set of an automobile and first time data of a telemetering system; wherein the telemetry data set comprises telemetry exhaust concentration data, telemetry time data, telemetry environment data, telemetry vehicle status data, telemetry vehicle identity data and telemetry meteorological data;
obtaining a first judgment result according to the telemetering environment data and a preset telemetering environment data threshold value;
obtaining a second judgment result according to the telemetering vehicle state data and a preset vehicle state data threshold value;
obtaining a third judgment result according to the telemetering time data and the first time data;
performing identity verification according to the telemetering vehicle identity data to obtain a fourth judgment result;
carrying out telemetering equipment state judgment according to the telemetering tail gas concentration data and the telemetering meteorological data to obtain a fifth judgment result;
and obtaining the validity judgment result of the telemetry data set according to the validity of the first judgment result, the validity of the second judgment result, the validity of the third judgment result, the validity of the fourth judgment result and the validity of the fifth judgment result.
2. The telemetry data processing method of claim 1, wherein obtaining a first determination result according to the telemetry environment data and a preset telemetry environment data threshold value comprises:
acquiring telemetering environment data; wherein the telemetry environment data comprises ambient temperature data, ambient humidity data and ambient wind speed data;
comparing the environment temperature data with an environment temperature threshold, comparing the environment humidity data with an environment humidity threshold, and comparing the environment wind speed data with an environment wind speed threshold;
and if the environment temperature data is greater than a first environment temperature threshold and less than a second environment temperature threshold, the environment humidity data is less than the environment humidity threshold, and the environment wind speed data is less than the environment wind speed threshold, determining that the first judgment result is that the telemetering environment data is valid.
3. The telemetry data processing method of claim 1, wherein obtaining a second determination based on the telemetry vehicle status data and a predetermined vehicle status data threshold comprises:
acquiring vehicle state data; wherein the vehicle state data comprises vehicle speed data, vehicle acceleration data, and vehicle specific power data;
comparing the vehicle speed data with a vehicle speed threshold, comparing the vehicle acceleration data with a vehicle acceleration threshold, and comparing the vehicle specific power data with a vehicle specific power threshold;
and if the vehicle speed data is greater than a first speed threshold and less than a second speed threshold, the vehicle acceleration data is greater than a first acceleration threshold and less than a second acceleration threshold, and the vehicle specific power data is greater than a first specific power threshold and less than a second specific power threshold, determining that the second judgment result is that the vehicle state data is valid.
4. The telemetry data processing method of claim 1, wherein obtaining a third determination result according to the telemetry time data and the first time data comprises:
acquiring telemetry time data and first time data; the first time data comprises calibration starting time, calibration ending time, operation and maintenance starting time and operation and maintenance ending time;
if the telemetry time data does not fall within the time range between the calibration start time and the calibration end time,
and the telemetry time data does not belong to a time range between the operation and maintenance start time and the operation and maintenance end time,
and the time difference between the telemetry time data and the calibration end time is less than a preset first time threshold,
and the time difference between the telemetry time data and the operation and maintenance end time is less than a preset second time threshold,
determining that the telemetry time data is valid as a result of the third determination.
5. The telemetry data processing method of claim 1 wherein the performing identity verification based on the telemetry vehicle identity data to obtain a fourth determination comprises:
acquiring vehicle identity data; the vehicle identity data comprises a vehicle license plate and a vehicle type;
verifying whether the format of the vehicle license plate is consistent with a preset license plate format or not, and if so, obtaining a first verification result with a qualified result;
verifying whether the vehicle type is consistent with preset vehicle type data or not, and if so, obtaining a second verification result with a qualified result;
and if the first verification result and the second verification result are both qualified, determining that the fourth judgment result is that the telemetering vehicle identity data is valid.
6. The telemetry data processing method of claim 1, wherein the step of performing telemetry equipment state judgment according to the telemetry tail gas concentration data and the telemetry meteorological data to obtain a fifth judgment result comprises:
acquiring telemetering tail gas concentration data, telemetering meteorological data and telemetering host measuring range;
comparing the telemetering tail gas concentration data with the telemetering host range, and if the telemetering tail gas concentration data is larger than the minimum measurement value of the telemetering host range and smaller than the maximum measurement value of the telemetering host range, determining that the state of the telemetering host is normal;
if the telemetering meteorological data meet the preset conditions, determining that the state of the telemetering meteorological instrument is normal;
and when the state of the telemetering host is normal and the state of the telemetering weather instrument is normal, judging that the telemetering equipment is valid according to a fifth judgment result.
7. The method as claimed in claim 1, wherein the obtaining a validity determination result of the telemetric exhaust gas concentration data according to the first determination result, the second determination result, the third determination result, the fourth determination result and the fifth determination result comprises:
obtaining the validity of the first judgment result, the validity of the second judgment result, the validity of the third judgment result, the validity of the fourth judgment result and the validity of the fifth judgment result;
and when the validity of the first judgment result, the validity of the second judgment result, the validity of the third judgment result, the validity of the fourth judgment result and the validity of the fifth judgment result are all valid, determining that the telemetry data set is a valid telemetry data set.
8. A telemetry data processing system, comprising:
the system comprises an acquisition module, a data acquisition module and a data acquisition module, wherein the acquisition module is used for acquiring a telemetering data set of an automobile and first time data of a telemetering system, and the telemetering data set comprises telemetering exhaust gas concentration data, telemetering time data, telemetering environment data, telemetering vehicle state data, telemetering vehicle identity data and telemetering meteorological data;
the first processing module is used for obtaining a first judgment result according to the telemetering environment data and a preset telemetering environment data threshold;
the second processing module is used for obtaining a second judgment result according to the telemetering vehicle state data and a preset vehicle state data threshold value;
the third processing module is used for obtaining a third judgment result according to the telemetering time data and the first time data;
the fourth processing module is used for carrying out identity verification according to the telemetering vehicle identity data to obtain a fourth judgment result;
the fifth processing module is used for judging the state of the telemetering equipment according to the telemetering tail gas concentration data and the telemetering meteorological data to obtain a fifth judgment result;
and a sixth processing module, configured to obtain a validity determination result of the telemetry data set according to the validity of the first determination result, the validity of the second determination result, the validity of the third determination result, the validity of the fourth determination result, and the validity of the fifth determination result.
9. A telemetry data processing apparatus, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the telemetry data processing method of any of claims 1-7.
10. A computer readable storage medium in which a program executable by a processor is stored, wherein the program executable by the processor is adapted to implement the telemetry data processing method as claimed in any one of claims 1 to 7 when executed by the processor.
CN202210256162.6A 2022-03-15 2022-03-15 Telemetering data processing method, system, device and storage medium Pending CN114637814A (en)

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