CN116311878A - Intelligent parking device control method and control system thereof - Google Patents
Intelligent parking device control method and control system thereof Download PDFInfo
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- CN116311878A CN116311878A CN202211292102.6A CN202211292102A CN116311878A CN 116311878 A CN116311878 A CN 116311878A CN 202211292102 A CN202211292102 A CN 202211292102A CN 116311878 A CN116311878 A CN 116311878A
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention relates to the technical field of vehicle auxiliary systems, and discloses an intelligent parking device control method and a control system thereof; the intelligent parking controller control method comprises the following steps: s1: collecting data; s2: data processing; s3: substituting the model; s4: intelligent analysis; s5: auxiliary control; s6: the invention acquires the current position of the vehicle and the distance between the vehicle and the surrounding articles, processes the acquired data, substitutes the processed data into a prediction model, thereby obtaining a parking prediction result, performs subsequent parking operation according to the prediction result, provides more accurate data basis for parking operation by predicting the result in advance, thereby improving the parking safety, avoiding safety accidents, and can meet the requirements of different crowds on parking assistance by selecting manual assistance control or intelligent adjustment control.
Description
Technical Field
The invention belongs to the technical field of vehicle auxiliary systems, and particularly relates to an intelligent parking device control method and a control system thereof.
Background
With the development of modern society, the proportion of vehicles purchased by families is greatly improved, and people generally choose to drive when going out.
At present, a driver is generally required to judge and operate the vehicle according to experience when the vehicle is parked, but for the driver with less experience, parking is a difficult problem, and if the judgment is wrong, safety accidents can be caused; thus, improvements are now needed for the current situation.
Disclosure of Invention
Aiming at the situation, in order to overcome the defects of the prior art, the invention provides the intelligent parking device control method and the intelligent parking device control system, which effectively solve the problems that a driver is generally required to carry out parking judgment and operation according to experience at present when a vehicle parks, and the parking is difficult for the driver with less experience, and if the judgment is wrong, the safety accident is possibly caused.
In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent parking apparatus control method includes the steps of:
s1: and (3) data acquisition: the method comprises the steps that the current position of a vehicle and the distance between the vehicle and surrounding objects are collected through a mounted positioning system, a GIS system, state detection equipment, speed measurement equipment and distance measurement equipment, and after the collection is finished, the live-action map of the current vehicle is subjected to positioning simulation and retrieval according to the data of the positioning system and the GIS system;
s2: and (3) data processing: on the basis of the step S1, data preprocessing is performed on current vehicle speed data and distance data acquired by the speed measuring device and the distance measuring device, and the specific steps of data preprocessing include: data cleaning, data protocol, data conversion, data analysis and data integration;
s3: model substitution: substituting the processed data into a data prediction model on the basis of the step S2, and obtaining a corresponding prediction result according to the data, wherein the prediction model is built by taking a plurality of groups of vehicle speed data and distance data as learning data;
s4: intelligent analysis: on the basis of the step S3, receiving a result predicted by the prediction model, carrying an intelligent analysis algorithm, comprehensively analyzing the predicted result and the current state data of the vehicle, and precipitating an analysis result;
s5: auxiliary control: on the basis of the step S4, the analysis result is received, and meanwhile, the safety data is compared according to the analysis result, so as to determine the selection of the parking control mode of the vehicle, and when the specific selection is performed, the method specifically comprises the following steps: manual auxiliary control and intelligent adjustment control, and judging whether to start an alarm or not while receiving an analysis result;
s6: control feedback: and on the basis of the step S5, after the control of the vehicle is finished, collecting the speed data of the vehicle and the distance data between the vehicle and surrounding articles again, carrying out feedback analysis after the control by combining an intelligent analysis algorithm, and finally separating out the result to a central control end.
Preferably, in the step S1, the positioning system specifically adopts one or a combination of several of GPS satellite positioning technology, global satellite positioning technology, and beidou satellite positioning technology; the state detection equipment comprises a temperature sensor and a pressure sensor; the speed measuring equipment is specifically a radar microwave tester; the distance measuring device is specifically a distance measuring instrument.
Preferably, in the step S2, the method of data preprocessing specifically includes removing one or more of unique attribute, processing missing value, attribute coding, data normalization regularization, feature selection or principal component analysis.
Preferably, in the step S3, the specific step of establishing the prediction model includes: (1) the method comprises the following steps Collecting vehicle speed data and distance data; (2) the method comprises the following steps Preprocessing data; (3) the method comprises the following steps Substituting the preprocessed data into a training algorithm for learning, and completing the establishment of a preliminary model; (4) the method comprises the following steps And verifying the preliminary model to complete the model establishment.
Preferably, the training algorithm specifically adopts one or a combination of several of an example standardized training algorithm, a layer standardized training algorithm, a direct batch standardized training algorithm or a metabatch standardized training algorithm.
Preferably, in the step S4, the intelligent analysis algorithm specifically includes one or a combination of several of linear regression, logistic regression, decision tree, random forest or artificial neural network.
Preferably, in the step S5, when the parking control mode is selected and the alarm is activated, whether the predicted data exceeds the safety data is set manually.
Preferably, the intelligent parking control system comprises a central management system, wherein the central management system is used for transmitting and controlling all data operated in the intelligent parking control system, and all data comprise detection data and control data;
and an information acquisition system: the information acquisition system is used for acquiring vehicle positioning data, state data, speed data and distance data between peripheral articles through the positioning system, the GIS system, the state detection equipment, the speed measurement equipment and the distance measurement equipment and transmitting the acquired data;
a data processing system: the data processing system is used for receiving the data in the information acquisition system and carrying out data cleaning, data protocol, data conversion, data analysis and data integration on the speed data and the distance data between the speed data and the peripheral articles;
data prediction system: the data prediction system is used for substituting the data processed in the data processing system into a prediction model and obtaining a prediction result;
live-action calling system: the live-action calling system is used for marking and calling a live-action map of the current position of the vehicle according to the combination of the vehicle positioning data and the GIS system;
predictive analysis system: the prediction analysis system is used for obtaining a specific control method for the vehicle according to the results of the data prediction system and the live-action calling system and by combining an intelligent analysis algorithm;
and (3) controlling a feedback system: the control feedback system is used for controlling the parking of the vehicle according to the control method obtained by the prediction analysis system, and collecting vehicle speed data and distance data between the vehicle and surrounding articles after the control is finished.
Compared with the prior art, the invention has the beneficial effects that: 1. the method comprises the steps of collecting the current position of a vehicle and the distance between the vehicle and surrounding articles, carrying out data cleaning, data protocol, data conversion, data analysis and data integration on collected data, substituting the processed data into a prediction model, obtaining a parking prediction result, carrying out subsequent parking operation according to the prediction result, and providing more accurate data basis for parking operation by carrying out result prediction in advance, thereby improving the parking safety and avoiding safety accidents;
2. after the prediction result is obtained, manual auxiliary control or intelligent adjustment control can be selected, and the two modes can meet the requirements of different crowds on parking assistance, so that the vehicle parking assistance system is more intelligent, and can bring convenience to different crowds and improve the use feeling of the vehicle parking assistance system when the vehicle parking assistance system is put into use;
3. in the parking process, the vehicle state is always monitored, the vehicle state is analyzed, and when the vehicle state is abnormal, an early warning alarm is timely sent out, so that the influence of the vehicle state on the parking operation can be avoided.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
In the drawings:
FIG. 1 is a flow chart of a method for controlling an intelligent parking apparatus in accordance with the present invention;
FIG. 2 is a block diagram of an intelligent park control system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention; all other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the present invention provides a technical solution: an intelligent parking apparatus control method includes the steps of:
s1: and (3) data acquisition: the method comprises the steps that the current position of a vehicle and the distance between the vehicle and surrounding objects are collected through a mounted positioning system, a GIS system, state detection equipment, speed measurement equipment and distance measurement equipment, and after the collection is finished, the live-action map of the current vehicle is subjected to positioning simulation and retrieval according to the data of the positioning system and the GIS system;
s2: and (3) data processing: on the basis of the step S1, data preprocessing is performed on current vehicle speed data and distance data acquired by the speed measuring device and the distance measuring device, and the specific steps of data preprocessing include: data cleaning, data protocol, data conversion, data analysis and data integration;
s3: model substitution: substituting the processed data into a data prediction model on the basis of the step S2, obtaining a corresponding prediction result according to the data, and establishing the prediction model to acquire a plurality of groups of vehicle speed data and distance data as learning data;
s4: intelligent analysis: on the basis of the step S3, receiving a result predicted by the prediction model, carrying an intelligent analysis algorithm, comprehensively analyzing the predicted result and the current state data of the vehicle, and precipitating an analysis result;
s5: auxiliary control: on the basis of the step S4, the analysis result is received, and meanwhile, the safety data is compared according to the analysis result, so as to determine the selection of the parking control mode of the vehicle, and when the specific selection is performed, the method specifically comprises the following steps: manual auxiliary control and intelligent adjustment control, and judging whether to start an alarm or not while receiving an analysis result;
s6: control feedback: and on the basis of the step S5, after the control of the vehicle is finished, collecting the speed data of the vehicle and the distance data between the vehicle and surrounding articles again, carrying out feedback analysis after the control by combining an intelligent analysis algorithm, and finally separating out the result to a central control end.
In step S1, the positioning system specifically adopts one or a combination of several of GPS satellite positioning technology, global satellite positioning technology or beidou satellite positioning technology; the state detection equipment comprises a temperature sensor and a pressure sensor; the speed measuring equipment is specifically a radar microwave tester; the distance measuring equipment is specifically a distance measuring instrument; in the step S2, the data preprocessing method specifically adopts one or a combination of more of removing unique attributes, processing missing values, attribute coding, data standardization regularization, feature selection and principal component analysis; in step S3, the specific steps of establishing the prediction model include: (1) the method comprises the following steps Collecting vehicle speed data and distance data; (2) the method comprises the following steps Preprocessing data; (3) the method comprises the following steps Substituting the preprocessed data into a training algorithm for learning, and completing the establishment of a preliminary model; (4) the method comprises the following steps Verifying the preliminary model to complete model establishment; the training algorithm specifically adopts one or a combination of a plurality of example standardized training algorithms, layer standardized training algorithms, direct batch standardized training algorithms or metabatch standardized training algorithms; in step S4, the intelligent analysis algorithm specifically includes one or a combination of several of linear regression, logistic regression, decision tree, random forest or artificial neural network; in step S5, when the parking control mode is selected and the alarm is activated, whether the predicted data exceeds the safety data is set manually.
Through the steps, after the current position of the vehicle and the distance between the vehicle and the surrounding objects are acquired, data cleaning, data protocol, data conversion, data analysis and data integration are carried out on the acquired data, the processed data are substituted into a prediction model, so that a parking prediction result can be obtained, the subsequent parking operation is carried out according to the prediction result, more accurate data basis can be provided for the parking operation by carrying out result prediction in advance, the parking safety is improved, and safety accidents are avoided; after the prediction result is obtained, manual auxiliary control or intelligent adjustment control can be selected, and the two modes can meet the requirements of different crowds on parking assistance, so that the vehicle parking system is more intelligent, and can bring convenience to different crowds and improve the use feeling of the vehicle parking system when the vehicle parking system is put into use.
As shown in fig. 2, the present invention provides a technical solution: the intelligent parking control system comprises a central management system, wherein the central management system is used for transmitting and controlling all data operated in the intelligent parking control system, and all data comprise detection data and control data;
and an information acquisition system: the information acquisition system is used for acquiring vehicle positioning data, state data, speed data and distance data between the surrounding objects through the positioning system, the GIS system, the state detection equipment, the speed measurement equipment and the distance measurement equipment and transmitting the acquired data;
a data processing system: the data processing system is used for receiving the data in the information acquisition system and carrying out data cleaning, data protocol, data conversion, data analysis and data integration on the speed data and the distance data between the speed data and the peripheral articles;
data prediction system: the data prediction system is used for substituting the data processed in the data processing system into a prediction model and obtaining a prediction result;
live-action calling system: the live-action calling system is used for marking and calling a live-action map of the current position of the vehicle according to the combination of the vehicle positioning data and the GIS system;
predictive analysis system: the prediction analysis system is used for obtaining a specific control method for the vehicle according to the results of the data prediction system and the live-action calling system and by combining an intelligent analysis algorithm;
and (3) controlling a feedback system: the control feedback system is used for controlling the parking of the vehicle according to the control method obtained by the prediction analysis system, and collecting the vehicle speed data and the distance data between the vehicle speed data and the surrounding articles after the control is finished.
In the parking process, the vehicle state is always monitored, the vehicle state is analyzed, and when the vehicle state is abnormal, an early warning alarm is timely sent out, so that the influence of the vehicle state on the parking operation can be avoided.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An intelligent parking control method is characterized in that: the method comprises the following steps:
s1: and (3) data acquisition: the method comprises the steps that the current position of a vehicle and the distance between the vehicle and surrounding objects are collected through a mounted positioning system, a GIS system, state detection equipment, speed measurement equipment and distance measurement equipment, and after the collection is finished, the live-action map of the current vehicle is subjected to positioning simulation and retrieval according to the data of the positioning system and the GIS system;
s2: and (3) data processing: on the basis of the step S1, data preprocessing is performed on current vehicle speed data and distance data acquired by the speed measuring device and the distance measuring device, and the specific steps of data preprocessing include: data cleaning, data protocol, data conversion, data analysis and data integration;
s3: model substitution: substituting the processed data into a data prediction model on the basis of the step S2, and obtaining a corresponding prediction result according to the data, wherein the prediction model is built by taking a plurality of groups of vehicle speed data and distance data as learning data;
s4: intelligent analysis: on the basis of the step S3, receiving a result predicted by the prediction model, carrying an intelligent analysis algorithm, comprehensively analyzing the predicted result and the current state data of the vehicle, and precipitating an analysis result;
s5: auxiliary control: on the basis of the step S4, the analysis result is received, and meanwhile, the safety data is compared according to the analysis result, so as to determine the selection of the parking control mode of the vehicle, and when the specific selection is performed, the method specifically comprises the following steps: manual auxiliary control and intelligent adjustment control, and judging whether to start an alarm or not while receiving an analysis result;
s6: control feedback: and on the basis of the step S5, after the control of the vehicle is finished, collecting the speed data of the vehicle and the distance data between the vehicle and surrounding articles again, carrying out feedback analysis after the control by combining an intelligent analysis algorithm, and finally separating out the result to a central control end.
2. The intelligent parking apparatus control method as set forth in claim 1, wherein: in the step S1, the positioning system specifically adopts one or a combination of several of GPS satellite positioning technology, global satellite positioning technology or beidou satellite positioning technology; the state detection equipment comprises a temperature sensor and a pressure sensor; the speed measuring equipment is specifically a radar microwave tester; the distance measuring device is specifically a distance measuring instrument.
3. The intelligent parking apparatus control method as set forth in claim 1, wherein: in the step S2, the data preprocessing method specifically includes one or a combination of several of removing unique attributes, processing missing values, attribute coding, data normalization regularization, feature selection and principal component analysis.
4. The intelligent parking apparatus control method as set forth in claim 1, wherein: in the step S3, the specific steps of establishing the prediction model include: (1) the method comprises the following steps Collecting vehicle speed data and distance data; (2) the method comprises the following steps Preprocessing data; (3) the method comprises the following steps Substituting the preprocessed data into a training algorithm for learning, and completing the establishment of a preliminary model; (4) the method comprises the following steps And verifying the preliminary model to complete the model establishment.
5. The intelligent parking apparatus control method as set forth in claim 4, wherein: the training algorithm specifically adopts one or a combination of a plurality of example standardized training algorithms, layer standardized training algorithms, direct batch standardized training algorithms or metabatch standardized training algorithms.
6. The intelligent parking apparatus control method as set forth in claim 1, wherein: in the step S4, the intelligent analysis algorithm specifically includes one or a combination of several of linear regression, logistic regression, decision tree, random forest or artificial neural network.
7. The intelligent parking apparatus control method as set forth in claim 1, wherein: in the step S5, when the parking control mode is selected and the alarm is activated, whether the predicted data exceeds the safety data is set manually.
8. An intelligent park control system according to any one of claims 1-7, wherein: the intelligent parking control system comprises a central management system, a control system and a control system, wherein the central management system is used for carrying out transmission management and control on all data operated in the intelligent parking control system, and all data comprise detection data and control data;
and an information acquisition system: the information acquisition system is used for acquiring vehicle positioning data, state data, speed data and distance data between peripheral articles through the positioning system, the GIS system, the state detection equipment, the speed measurement equipment and the distance measurement equipment and transmitting the acquired data;
a data processing system: the data processing system is used for receiving the data in the information acquisition system and carrying out data cleaning, data protocol, data conversion, data analysis and data integration on the speed data and the distance data between the speed data and the peripheral articles;
data prediction system: the data prediction system is used for substituting the data processed in the data processing system into a prediction model and obtaining a prediction result;
live-action calling system: the live-action calling system is used for marking and calling a live-action map of the current position of the vehicle according to the combination of the vehicle positioning data and the GIS system;
predictive analysis system: the prediction analysis system is used for obtaining a specific control method for the vehicle according to the results of the data prediction system and the live-action calling system and by combining an intelligent analysis algorithm;
and (3) controlling a feedback system: the control feedback system is used for controlling the parking of the vehicle according to the control method obtained by the prediction analysis system, and collecting vehicle speed data and distance data between the vehicle and surrounding articles after the control is finished.
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| CN107697065A (en) * | 2017-10-16 | 2018-02-16 | 北方工业大学 | Automatic parking control method for general parking scene |
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