CN111983649A - Vehicle GPS equipment off-line performance prediction method based on automatic analysis - Google Patents
Vehicle GPS equipment off-line performance prediction method based on automatic analysis Download PDFInfo
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- CN111983649A CN111983649A CN202010706555.3A CN202010706555A CN111983649A CN 111983649 A CN111983649 A CN 111983649A CN 202010706555 A CN202010706555 A CN 202010706555A CN 111983649 A CN111983649 A CN 111983649A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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- G01S19/23—Testing, monitoring, correcting or calibrating of receiver elements
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Abstract
The invention relates to a vehicle GPS equipment off-line performance prediction method based on automatic analysis, which comprises the following steps: acquiring GPS installation information of a vehicle to be predicted in real time; identifying the information type and the information content in the GPS installation information, and analyzing and comparing the information type and the information content with corresponding normal GPS installation information stored in a preset database; and judging the installation condition of the vehicle GPS equipment according to the analysis result, determining whether the installation problem exists or not, and judging the type of the installation problem. By the method and the device, the false alarm rate of the machine dismantling alarm can be reduced, and more accurate early warning is provided for automobile financial wind control; meanwhile, the prepositioning of the troubleshooting processing of the installation problem can be realized, the processing timeliness is increased, the vehicle monitoring risk is reduced, and the customer service experience is improved.
Description
Technical Field
The invention relates to the technical field of vehicle safety, in particular to a vehicle GPS equipment off-line performance prediction method based on automatic analysis.
Background
The installation problem exposure of the GPS is caused by the feedback of the operation of an installation site and the abnormal performance conjecture of a platform manual analysis vehicle, and the installation problem possibly exists, and the automatic big data investigation analysis is not available. This situation causes the installation problem to be handled relatively late, and the time delay of the installation problem causes the GPS to be out of effective monitoring for a longer time, increasing the risk of vehicle monitoring.
Disclosure of Invention
Aiming at the defects of the existing method, the method for predicting the off-line performance of the vehicle GPS equipment based on automatic analysis is provided.
The technical scheme adopted by the invention for solving the technical problems is as follows: a vehicle GPS device off-line performance prediction method based on automatic analysis is constructed, and comprises the following steps:
acquiring GPS installation information of a vehicle to be predicted in real time;
identifying the information type and the information content in the GPS installation information, and analyzing and comparing the information type and the information content with corresponding normal GPS installation information stored in a preset database;
and judging the installation condition of the vehicle GPS equipment according to the analysis result, determining whether the installation problem exists or not, and judging the type of the installation problem.
The GPS installation information comprises GPS equipment power connection type information, vehicle state expression information, travel expression information, alarm rule information, vehicle-sharing equipment information and offline voltage change information.
Before the step of analyzing and comparing the corresponding normal GPS installation information stored in the preset database, the method also comprises the step of constructing the preset database:
collecting GPS installation information generated by vehicles with normal GPS equipment installation;
preprocessing GPS installation information generated by a vehicle with normal GPS equipment installation; the preprocessing mode at least comprises impurity removing information and information type format conversion;
and storing the preprocessed GPS installation information.
Wherein, in the step of analyzing and comparing with the corresponding normal GPS installation information stored in the preset database, the method comprises the following steps:
comparing equipment type information in the GPS installation information acquired in real time with equipment type information in the GPS installation information which is normally installed, analyzing the equipment type and the installation time information, and judging whether an installation problem exists or not;
comparing vehicle state performance information in the GPS installation information acquired in real time with vehicle state performance information in the GPS installation information which is normally installed, judging whether the vehicle state moves and whether the vehicle generates a stroke, and further judging whether the installation problem of line looseness exists;
comparing the travel performance information in the GPS installation information acquired in real time with the travel performance information in the GPS installation information normally installed, associating equipment type information, and judging whether the installation problem of manual dismantling exists or not;
comparing alarm rule information in the GPS installation information acquired in real time with alarm rule information in the GPS installation information normally installed, analyzing alarm types, alarm times and alarm rules, and judging whether the installation problem is that the installation position is not concealed or long-time power is not connected;
comparing the same-vehicle equipment information in the GPS installation information collected in real time with the same-vehicle equipment information in the GPS installation information normally installed, analyzing the condition of the same-vehicle equipment, the alarm time span and the same-vehicle driving history, and judging whether the same-vehicle equipment is warehouse test scene equipment or not;
and comparing the offline voltage change information in the GPS installation information acquired in real time with the offline voltage change information in the GPS installation information which is normally installed, analyzing and judging the change condition of the external voltage, and judging whether the vehicle is normally powered off.
In the step of judging whether the installation problem exists according to the equipment type information, judging whether the equipment type information is GPS equipment, and if no GPS equipment exists, judging that the GPS equipment is not installed; if the GPS equipment exists, the judgment is carried out by combining other information in the GPS installation information.
In the step of judging whether the installation problem exists according to the vehicle state expression information and the travel expression information, if the vehicle is in a non-motion state, the installation problem is solved; if the vehicle is in a moving state and a stroke is generated, judging that the installation problem of line looseness exists; if no stroke is generated, there is a mounting problem of a suspected dismantling machine.
Judging whether an installation problem exists or not according to the alarm rule information and the offline voltage change, judging the alarm frequency within a specified time interval, if the alarm frequency exceeds a preset alarm frequency threshold value, judging the offline voltage change condition, and if the external voltage of the offline voltage is less than 20V, judging the installation problem of no power connection; if the external voltage is 20V or more, there is no mounting problem.
Judging the type of the same-vehicle equipment in the step of judging whether the installation problem exists according to the same-vehicle equipment information, if the same-vehicle equipment is wired equipment and has multiple sections of strokes, and the stroke time is longer than 15 minutes, further judging the span time of generating a light sensation alarm on the day, if the span time is longer than 65 minutes, the installation problem that the installation position is not hidden exists, and if the span time is shorter than or equal to 65 minutes, the installation problem does not exist; if the same-vehicle equipment is wired equipment and has multiple sections of travel and the travel time is less than or equal to 15 minutes, the equipment is warehouse test equipment; if the same vehicle equipment does not have wired equipment, the span time of generating the light sensation alarm on the day is judged, if the span time is more than 65 minutes, the installation problem that the installation position is not hidden exists, and if the span time is less than or equal to 65 minutes, the installation problem does not exist.
Furthermore, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores computer readable instructions, which when executed by one or more of the processors, cause the one or more processors to perform the steps of the automated analysis-based vehicle GPS device offline performance prediction method according to the preceding technical solution.
The invention provides a storage medium readable and writable by a processor, wherein the storage medium stores computer instructions, and when the computer instructions are executed by one or more processors, the one or more processors execute the steps of the method for predicting the offline performance of the vehicle GPS device based on automatic analysis according to the technical scheme.
The invention provides a vehicle GPS equipment off-line performance prediction method based on automatic analysis, which is different from the prior art and comprises the following steps: acquiring GPS installation information of a vehicle to be predicted in real time; identifying the information type and the information content in the GPS installation information, and analyzing and comparing the information type and the information content with corresponding normal GPS installation information stored in a preset database; and judging the installation condition of the vehicle GPS equipment according to the analysis result, determining whether the installation problem exists or not, and judging the type of the installation problem. By the method and the device, the false alarm rate of the machine dismantling alarm can be reduced, and more accurate early warning is provided for automobile financial wind control; meanwhile, the prepositioning of the troubleshooting processing of the installation problem can be realized, the processing timeliness is increased, the vehicle monitoring risk is reduced, and the customer service experience is improved.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a method for predicting the off-line performance of a vehicle GPS device based on automatic analysis provided by the invention.
FIG. 2 is a schematic diagram of a computer device for an automated analysis-based method for predicting off-line performance of a GPS device of a vehicle.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
Referring to fig. 1, the invention provides an off-line performance prediction method of a vehicle GPS device based on automated analysis, comprising:
acquiring GPS installation information of a vehicle to be predicted in real time;
the GPS installation information comprises GPS equipment power connection type information, vehicle state expression information, travel expression information, alarm rule information, vehicle-sharing equipment information and offline voltage change information.
Identifying the information type and the information content in the GPS installation information, and analyzing and comparing the information type and the information content with corresponding normal GPS installation information stored in a preset database;
before the step of analyzing and comparing the corresponding normal GPS installation information stored in the preset database, the method also comprises the step of constructing the preset database:
collecting GPS installation information generated by vehicles with normal GPS equipment installation;
preprocessing GPS installation information generated by a vehicle with normal GPS equipment installation; the preprocessing mode at least comprises impurity removing information and information type format conversion;
and storing the preprocessed GPS installation information.
And judging the installation condition of the vehicle GPS equipment according to the analysis result, determining whether the installation problem exists or not, and judging the type of the installation problem.
In the step of analyzing and comparing with the corresponding normal GPS installation information stored in the preset database, the method comprises the following steps:
comparing equipment type information in the GPS installation information acquired in real time with equipment type information in the GPS installation information which is normally installed, analyzing the equipment type and the installation time information, and judging whether an installation problem exists or not;
in the step of judging whether the installation problem exists according to the equipment type information, judging whether the equipment type information is GPS equipment, and if no GPS equipment exists, judging that the GPS equipment is not installed; if the GPS equipment exists, the judgment is carried out by combining other information in the GPS installation information.
Comparing vehicle state performance information in the GPS installation information acquired in real time with vehicle state performance information in the GPS installation information which is normally installed, judging whether the vehicle state moves and whether the vehicle generates a stroke, and further judging whether the installation problem of line looseness exists;
comparing the travel performance information in the GPS installation information acquired in real time with the travel performance information in the GPS installation information normally installed, associating equipment type information, and judging whether the installation problem of manual dismantling exists or not;
in the step of judging whether the installation problem exists according to the vehicle state expression information and the travel expression information, if the vehicle is in a non-motion state, the installation problem is solved; if the vehicle is in a moving state and a stroke is generated, judging that the installation problem of line looseness exists; if no stroke is generated, there is a mounting problem of a suspected dismantling machine.
Comparing alarm rule information in the GPS installation information acquired in real time with alarm rule information in the GPS installation information normally installed, analyzing alarm types, alarm times and alarm rules, and judging whether the installation problem is that the installation position is not concealed or long-time power is not connected;
comparing the same-vehicle equipment information in the GPS installation information collected in real time with the same-vehicle equipment information in the GPS installation information normally installed, analyzing the condition of the same-vehicle equipment, the alarm time span and the same-vehicle driving history, and judging whether the same-vehicle equipment is warehouse test scene equipment or not;
judging the type of the same-vehicle equipment in the step of judging whether the installation problem exists according to the same-vehicle equipment information, if the same-vehicle equipment is wired equipment and has multiple sections of strokes, and the stroke time is longer than 15 minutes, further judging the span time of generating a light sensation alarm on the day, if the span time is longer than 65 minutes, the installation problem that the installation position is not hidden exists, and if the span time is shorter than or equal to 65 minutes, the installation problem does not exist; if the same-vehicle equipment is wired equipment and has multiple sections of travel and the travel time is less than or equal to 15 minutes, the equipment is warehouse test equipment; if the same vehicle equipment does not have wired equipment, the span time of generating the light sensation alarm on the day is judged, if the span time is more than 65 minutes, the installation problem that the installation position is not hidden exists, and if the span time is less than or equal to 65 minutes, the installation problem does not exist.
And comparing the offline voltage change information in the GPS installation information acquired in real time with the offline voltage change information in the GPS installation information which is normally installed, analyzing and judging the change condition of the external voltage, and judging whether the vehicle is normally powered off.
Judging whether an installation problem exists or not according to the alarm rule information and the offline voltage change, judging the alarm frequency within a specified time interval, if the alarm frequency exceeds a preset alarm frequency threshold value, judging the offline voltage change condition, and if the external voltage of the offline voltage is less than 20V, judging the installation problem of no power connection; if the external voltage is 20V or more, there is no mounting problem.
Furthermore, the present invention provides a computer device 1, comprising a storage medium 11 and a processor 12, wherein the storage medium 11 stores computer-readable instructions 111, and when the computer-readable instructions 111 are executed by one or more of the processors 12, one or more of the processors 12 execute the steps of the method for predicting the offline performance of the GPS device of the vehicle based on the automated analysis according to the above technical solution.
As shown in fig. 2, the present invention provides a storage medium 11, where the storage medium 11 can be read and written by a processor 12, where the storage medium 11 stores computer instructions 111, and the computer instructions 111, when executed by one or more processors 12, cause the one or more processors 12 to execute the steps of the method for predicting the offline performance of the GPS device of the vehicle based on the automated analysis according to the foregoing technical solution.
The invention provides a vehicle GPS equipment off-line performance prediction method based on automatic analysis, which is different from the prior art and comprises the following steps: acquiring GPS installation information of a vehicle to be predicted in real time; identifying the information type and the information content in the GPS installation information, and analyzing and comparing the information type and the information content with corresponding normal GPS installation information stored in a preset database; and judging the installation condition of the vehicle GPS equipment according to the analysis result, determining whether the installation problem exists or not, and judging the type of the installation problem. By the method and the device, the false alarm rate of the machine dismantling alarm can be reduced, and more accurate early warning is provided for automobile financial wind control; meanwhile, the prepositioning of the troubleshooting processing of the installation problem can be realized, the processing timeliness is increased, the vehicle monitoring risk is reduced, and the customer service experience is improved.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. An off-line performance prediction method for a vehicle GPS device based on automatic analysis is characterized by comprising the following steps:
acquiring GPS installation information of a vehicle to be predicted in real time;
identifying the information type and the information content in the GPS installation information, and analyzing and comparing the information type and the information content with corresponding normal GPS installation information stored in a preset database;
and judging the installation condition of the vehicle GPS equipment according to the analysis result, determining whether the installation problem exists or not, and judging the type of the installation problem.
2. The method for predicting the offline performance of the vehicle GPS equipment based on automatic analysis as claimed in claim 1, wherein the GPS installation information comprises GPS equipment power connection type information, vehicle state performance information, journey performance information, alarm rule information, same vehicle equipment information and offline voltage change information.
3. The automated analysis-based vehicle GPS device offline performance prediction method of claim 2, further comprising, before the step of performing the analysis comparison with the corresponding normal GPS installation information stored in the preset database, the step of constructing the preset database:
collecting GPS installation information generated by vehicles with normal GPS equipment installation;
preprocessing GPS installation information generated by a vehicle with normal GPS equipment installation; the preprocessing mode at least comprises impurity removing information and information type format conversion;
and storing the preprocessed GPS installation information.
4. The automated analysis-based vehicle GPS device offline performance prediction method according to claim 2, wherein in the step of performing analysis comparison with the corresponding normal GPS installation information stored in the preset database, the method comprises the steps of:
comparing equipment type information in the GPS installation information acquired in real time with equipment type information in the GPS installation information which is normally installed, analyzing the equipment type and the installation time information, and judging whether an installation problem exists or not;
comparing vehicle state performance information in the GPS installation information acquired in real time with vehicle state performance information in the GPS installation information which is normally installed, judging whether the vehicle state moves and whether the vehicle generates a stroke, and further judging whether the installation problem of line looseness exists;
comparing the travel performance information in the GPS installation information acquired in real time with the travel performance information in the GPS installation information normally installed, associating equipment type information, and judging whether the installation problem of manual dismantling exists or not;
comparing alarm rule information in the GPS installation information acquired in real time with alarm rule information in the GPS installation information normally installed, analyzing alarm types, alarm times and alarm rules, and judging whether the installation problem is that the installation position is not concealed or long-time power is not connected;
comparing the same-vehicle equipment information in the GPS installation information collected in real time with the same-vehicle equipment information in the GPS installation information normally installed, analyzing the condition of the same-vehicle equipment, the alarm time span and the same-vehicle driving history, and judging whether the same-vehicle equipment is warehouse test scene equipment or not;
and comparing the offline voltage change information in the GPS installation information acquired in real time with the offline voltage change information in the GPS installation information which is normally installed, analyzing and judging the change condition of the external voltage, and judging whether the vehicle is normally powered off.
5. The vehicle GPS device offline performance prediction method based on automated analysis according to claim 4, wherein in the step of determining whether there is an installation problem according to the device type information, it is determined whether the device type information is a GPS device, and if there is no GPS device, it is determined that the GPS device is not installed; if the GPS equipment exists, the judgment is carried out by combining other information in the GPS installation information.
6. The vehicle GPS device offline performance prediction method based on automated analysis of claim 4, wherein in the step of determining whether there is an installation problem according to the vehicle state performance information and the trip performance information, if the vehicle is in a non-moving state, it is a non-installation problem; if the vehicle is in a moving state and a stroke is generated, judging that the installation problem of line looseness exists; if no stroke is generated, there is a mounting problem of a suspected dismantling machine.
7. The method for predicting the offline performance of the GPS device of the vehicle based on the automated analysis as claimed in claim 4, wherein in the step of determining whether there is an installation problem according to the alarm rule information and the offline voltage variation, the number of times of alarm within a specified time interval is determined, and if the number of times of alarm exceeds a preset threshold value of the number of times of alarm, the offline voltage variation is determined, and if the external voltage of the offline voltage is less than 20V, there is an installation problem that the power is not extended; if the external voltage is 20V or more, there is no mounting problem.
8. The method for predicting GPS device offline performance of vehicle according to claim 6, wherein in the step of determining if there is an installation problem according to the information of the equipment of the same vehicle, the type of the equipment of the same vehicle is determined, if the equipment of the same vehicle is wired equipment and there are multiple trips and the trip time is longer than 15 minutes, the span time for generating light-sensitive alarm on the day is further determined, if it is longer than 65 minutes, there is an installation problem that the installation position is not hidden, and if it is less than or equal to 65 minutes, there is no installation problem; if the same-vehicle equipment is wired equipment and has multiple sections of travel and the travel time is less than or equal to 15 minutes, the equipment is warehouse test equipment; if the same vehicle equipment does not have wired equipment, the span time of generating the light sensation alarm on the day is judged, if the span time is more than 65 minutes, the installation problem that the installation position is not hidden exists, and if the span time is less than or equal to 65 minutes, the installation problem does not exist.
9. A computer device comprising a memory and a processor, the memory having stored therein computer readable instructions which, when executed by one or more of the processors, cause the one or more processors to carry out the steps of the automated analysis based vehicle GPS device offline performance prediction method according to any one of claims 1 to 8.
10. A storage medium readable by a processor, the storage medium storing computer instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the automated analysis based vehicle GPS device offline performance prediction method of any of claims 1-8.
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