CN-122024517-A - Parking space data acquisition method and system based on intelligent sensor

CN122024517ACN 122024517 ACN122024517 ACN 122024517ACN-122024517-A

Abstract

The application relates to the technical field of data processing, in particular to a parking space data acquisition method and system based on an intelligent sensor. The method comprises the steps of decomposing each monitoring sequence to obtain a plurality of components of each monitoring sequence, determining an environmental interference coefficient of each component of each parking space according to fluctuation amplitude of each component of each parking space, amplitude differences of adjacent sampling moments in the components and amplitude differences of adjacent sampling moments in corresponding components of other parking spaces, analyzing change characteristics of the environmental interference coefficient sequence to obtain environmental change degrees of each component of each parking space, determining an interference correction coefficient of each monitoring data according to difference values of the environmental change degrees of each component in a current period and a previous period and amplitude average values of each component, and correcting the plurality of monitoring data according to the interference correction coefficient of each monitoring data to obtain corrected plurality of monitoring data. The application can provide accurate data for intelligent management of the parking lot.

Inventors

DUAN ZHONGCHENG
Sui Rongxiang
SUN HONGHAI
WANG HAILING

Assignees

易帕克智能科技(大连)有限公司

Dates

Publication Date: 20260512
Application Date: 20260403

Claims (10)

1. The parking space data acquisition method based on the intelligent sensor is characterized by comprising the following steps of: The method comprises the steps of decomposing each monitoring sequence to obtain a plurality of components of each monitoring sequence, wherein the monitoring sequences are obtained according to corresponding monitoring data of corresponding parking spaces, the parking spaces corresponding to different monitoring sequences are different, and/or the types of the monitoring data corresponding to different monitoring sequences are different; According to the fluctuation amplitude of each component of each parking space, the amplitude difference of adjacent sampling moments in the components and the amplitude difference of adjacent sampling moments in corresponding components of other parking spaces, determining the environmental interference coefficient of each component of each parking space; analyzing the change characteristics of the environmental interference coefficient sequence corresponding to each component of each parking space in the current period to obtain the environmental change degree of each component of each parking space, wherein the environmental interference coefficient sequence consists of the environmental interference coefficient of each component of the current period and the environmental interference coefficients of the components corresponding to a plurality of continuous periods before the environmental interference coefficient of each component of the current period in a time sequence order; for each monitoring data of each parking space in the current period, determining an interference correction coefficient of each monitoring data of each parking space in the current period according to the difference value of the environmental change degree of each component corresponding to each monitoring data in the current period and the environmental change degree of each component corresponding to each monitoring data in the previous period and the amplitude mean value of each component corresponding to each monitoring data; And correcting the various monitoring data of each parking space according to the interference correction coefficient of each monitoring data of each parking space in the current period to obtain corrected various monitoring data.
2. The intelligent sensor-based parking space data acquisition method according to claim 1, wherein the decomposing each monitoring sequence to obtain a plurality of components of each monitoring sequence comprises: Acquiring multiple monitoring data of each parking space in each period, and arranging each monitoring data in time sequence to obtain a monitoring sequence corresponding to each monitoring data of each parking space in each period so as to obtain multiple monitoring sequences of each parking space in each period, wherein the multiple monitoring data at least comprise one of weight data, magnetic field intensity data and temperature data; And performing empirical mode decomposition on each monitoring sequence of each parking space in each period to obtain a plurality of components of each monitoring sequence of each parking space in each period.
3. The intelligent sensor-based parking space data acquisition method according to claim 1, wherein the determining the environmental interference coefficient of each component of each parking space according to the fluctuation amplitude of each component of each parking space, the amplitude difference of adjacent sampling time in the components, and the amplitude difference of adjacent sampling time in the corresponding components of other parking spaces comprises: Calculating the difference value of the maximum value and the minimum value of the amplitude of each component of each parking space for each period to obtain the fluctuation amplitude of each component of each parking space; According to the amplitude difference value of each component of each parking space at adjacent sampling time, obtaining a plurality of amplitude difference values of each component of each parking space, and determining the maximum amplitude difference value as the absolute amplitude difference value of each component of each parking space; And determining the environmental interference coefficient of each component of each parking space according to the fluctuation amplitude of each component of each parking space, the absolute amplitude difference of the components and the amplitude difference of adjacent sampling moments in the corresponding components of other parking spaces, wherein the environmental interference coefficient indicates the strength of the components influenced by environmental interference factors.
4. A method for collecting parking space data based on intelligent sensors as claimed in claim 3, wherein said determining the environmental interference coefficient of each component of each parking space according to the fluctuation amplitude of each component of each parking space, the amplitude difference of adjacent sampling time in components, the amplitude difference of adjacent sampling time in corresponding components of other parking spaces, comprises: Calculating the amplitude difference value of each adjacent sampling moment in each component of each parking space, and calculating the average value of the amplitude difference values of a plurality of adjacent sampling moments to obtain a first amplitude difference value average value of each component of each parking space; Searching the corresponding components of each component of each parking space in a plurality of other parking spaces to obtain a plurality of corresponding components of each component of each parking space; For a plurality of corresponding components of each component of each parking space, calculating an amplitude difference value of each adjacent sampling moment of each corresponding component, and calculating an average value of the amplitude difference values of a plurality of adjacent sampling moments to obtain a second amplitude difference value average value of each corresponding component; Calculating the average value of the second amplitude difference values of the corresponding components according to the corresponding components of each parking space to obtain the third amplitude difference value average value of each component of each parking space; And determining the environmental interference coefficient of each component of each parking space according to the ratio of the absolute amplitude difference value of each component of each parking space to the fluctuation amplitude of each component of each parking space and the ratio of the first amplitude difference value mean value of each component of each parking space to the third amplitude difference value mean value.
5. The method for acquiring parking space data based on intelligent sensors according to claim 1, wherein the analyzing the change characteristics of the environmental interference coefficient sequence corresponding to each component of each parking space in the current period to obtain the environmental change degree of each component of each parking space comprises the following steps: For each component of each parking space in the current period, acquiring components corresponding to a plurality of continuous periods of each component of each parking space before the current period, and sorting the environmental interference coefficients of each component and the environmental interference coefficients of the components corresponding to the plurality of continuous periods before in time sequence to obtain an environmental interference coefficient sequence; In the environmental interference coefficient sequence, in response to the environmental interference coefficient of any period being smaller than that of the previous period, determining a stage between the period and the previous period as a descending sub-stage; in the environmental interference coefficient sequence, in response to the environmental interference coefficient of any period being greater than that of the previous period, determining the phase between the period and the previous period as a rising sub-phase; traversing the environment interference coefficient sequence, if a plurality of continuous descending sub-stages exist, determining the descending stages as one descending stage, and acquiring the cycle number in each descending stage; if a plurality of continuous ascending sub-phases exist, determining the ascending phases as one ascending phase, and acquiring the period number in each ascending phase; Calculating a sum of the number of periods in the plurality of falling phases and determining a ratio of the sum of the number of periods to the number of the plurality of falling phases as an average falling period length; calculating the sum of the number of periods in the plurality of rising phases, and determining the ratio of the sum of the number of periods to the number of the plurality of rising phases as an average rising period length; And analyzing the average descending period length, the average ascending period length, the environmental interference coefficient of each component of the current period and the environmental interference coefficient of the corresponding component of the historical period to obtain the environmental change degree of each component of each parking space in the current period.
6. The intelligent sensor-based parking space data acquisition method according to claim 5, wherein the analyzing the average falling period length, the average rising period length, the environmental interference coefficient of each component of the current period and the environmental interference coefficient of the corresponding component of the history period to obtain the environmental change degree of each component of each parking space in the current period comprises: calculating the difference value of the environmental interference coefficient of each component in the current period and the environmental interference coefficient of the corresponding component in the preset historical period to obtain the environmental interference coefficient difference value of each component; calculating standard deviation of the environmental interference coefficient of each component of a plurality of periods between a preset historical period and a current period to obtain the standard deviation of the environmental interference coefficient of each component; And determining the environmental change degree of each parking space in each component of the current period according to the ratio of the average rising period length to the average falling period length and the ratio of the environmental interference coefficient difference value of each component to the environmental interference coefficient standard deviation of each component.
7. The method for collecting parking space data based on intelligent sensors as claimed in claim 1, wherein said determining, for each kind of monitoring data of each parking space in a current period, an interference correction coefficient of each kind of monitoring data of each parking space in the current period according to a difference value of an environmental change degree of each kind of component corresponding to each kind of monitoring data in the current period and a previous period thereof and an amplitude value average value of each kind of component corresponding to each kind of monitoring data comprises: Calculating the difference value of the environmental change degree of each component corresponding to each monitoring data in the current period and the environmental change degree of the previous period according to each monitoring data of each parking space in the current period to obtain the environmental change degree difference value of each component, and calculating the variance of the environmental change degree of other components corresponding to each monitoring data of each parking space in the current period to obtain the environmental change degree variance of each component; Calculating the average value of the amplitude of each component corresponding to each monitoring data in the current period of each parking space according to each monitoring data of each parking space in the current period to obtain the average value of the amplitude of each component, and calculating the average value of the amplitude of other components corresponding to each monitoring data of each parking space in the current period to obtain the average value of the amplitude of other components; and aiming at each monitoring data of each parking space in the current period, determining an interference correction coefficient of each monitoring data of each parking space in the current period according to the environmental change degree difference value of each component, the environmental change degree variance of each component, the amplitude average value of each component and the amplitude average value of other components corresponding to each monitoring data, wherein the interference correction coefficient indicates the strength of each monitoring data influenced by environmental interference.
8. The intelligent sensor-based parking space data acquisition method according to claim 7, wherein the determining, for each type of monitored data of each parking space in the current period, the interference correction coefficient of each type of monitored data of each parking space in the current period according to the environmental change degree difference value of each component, the environmental change degree variance of each component, the amplitude mean value of each component, and the amplitude mean value of other components corresponding to each type of monitored data comprises: for each monitoring data of each parking space in the current period, determining an interference correction coefficient of each component according to the ratio of the environmental change degree difference value of each component corresponding to each monitoring data to the environmental change degree variance of each component and the ratio of the amplitude mean value of each component to the amplitude mean value of other components; And calculating the sum of interference correction coefficients of a plurality of components corresponding to each monitoring data aiming at each monitoring data of each parking space in the current period to obtain the interference correction coefficient of each monitoring data of each parking space in the current period.
9. The method for collecting parking space data based on intelligent sensors as claimed in claim 1, wherein said correcting the plurality of kinds of monitoring data of each parking space according to the interference correction coefficient of each kind of monitoring data of each parking space in the current period to obtain corrected plurality of kinds of monitoring data comprises: Calculating the product of the interference correction coefficient of each monitoring data of each parking space in the current period and each monitoring data to obtain a weight factor of each monitoring data; and respectively correcting each monitoring data according to the sum of the weight factor of each monitoring data and each monitoring data so as to obtain corrected multiple monitoring data.
10. Parking space data acquisition system based on intelligent sensor, characterized by, the system includes: The system comprises a decomposition module, a detection module and a detection module, wherein the decomposition module is used for decomposing each monitoring sequence to obtain a plurality of components of each monitoring sequence, the monitoring sequences are obtained according to corresponding monitoring data of corresponding parking spaces, the parking spaces corresponding to different monitoring sequences are different, and/or the types of the monitoring data corresponding to different monitoring sequences are different; The first determining module is used for determining the environmental interference coefficient of each component of each parking space according to the fluctuation amplitude of each component of each parking space, the amplitude difference of adjacent sampling moments in the components and the amplitude difference of adjacent sampling moments in corresponding components of other parking spaces; The system comprises an analysis module, an environment change degree indication module and a control module, wherein the analysis module is used for analyzing the change characteristics of an environment interference coefficient sequence corresponding to each component of each parking space in the current period to obtain the environment change degree of each component of each parking space; The second determining module is used for determining an interference correction coefficient of each monitoring data of each parking space in the current period according to the difference value of the environmental change degree of each component corresponding to each monitoring data in the current period and the previous period and the amplitude average value of each component corresponding to each monitoring data; and the correction module is used for correcting the various monitoring data of each parking space according to the interference correction coefficient of each monitoring data of each parking space in the current period to obtain corrected various monitoring data.

Description

Parking space data acquisition method and system based on intelligent sensor Technical Field The application relates to the technical field of data processing, in particular to a parking space data acquisition method and system based on an intelligent sensor. Background At present, the data acquisition of a parking space is used for realizing the intelligent management of the parking space, and mainly depends on geomagnetic sensors, ultrasonic sensors and the like to sense whether the parking space is idle or not, so that the guiding and the management of the parking space are carried out through on-line browsing and acousto-optic notification equipment deployed on the parking space, but in the actual operation process, the sensing data of the parking space monitored by each sensor are possibly different because of the non-compliance of the parking of a vehicle and the different distribution states of monitoring data of different occurrence of the use characteristics of the vehicle by a user, thereby causing the deviation of the accuracy of the sensed vehicle condition, lacking the comprehensive sensing of the parking behavior and further causing the intelligent occurrence change of the parking data acquisition and the parking management. In the prior art, data are collected through different sensors, and the change characteristics among the data are integrated, so that the data expression characteristic evaluation aiming at a single data source is realized, but the difference between the numerical value obtained by calculating the parking sensing data with larger difference and the actual numerical value in the prior art is larger, and the difference of the perception accuracy of different parking behaviors of different vehicles is larger. Disclosure of Invention In order to solve the technical problems, the application aims to provide a parking space data acquisition method and system based on an intelligent sensor, and the adopted technical scheme is as follows: In a first aspect, there is provided a parking space data acquisition method based on an intelligent sensor, the method comprising: The method comprises the steps of decomposing each monitoring sequence to obtain a plurality of components of each monitoring sequence, wherein the monitoring sequences are obtained according to corresponding monitoring data of corresponding parking spaces, the parking spaces corresponding to different monitoring sequences are different, and/or the types of the monitoring data corresponding to different monitoring sequences are different; According to the fluctuation amplitude of each component of each parking space, the amplitude difference of adjacent sampling moments in the components and the amplitude difference of adjacent sampling moments in corresponding components of other parking spaces, determining the environmental interference coefficient of each component of each parking space; analyzing the change characteristics of the environmental interference coefficient sequence corresponding to each component of each parking space in the current period to obtain the environmental change degree of each component of each parking space, wherein the environmental interference coefficient sequence consists of the environmental interference coefficient of each component of the current period and the environmental interference coefficients of the components corresponding to a plurality of continuous periods before the environmental interference coefficient of each component of the current period in a time sequence order; for each monitoring data of each parking space in the current period, determining an interference correction coefficient of each monitoring data of each parking space in the current period according to the difference value of the environmental change degree of each component corresponding to each monitoring data in the current period and the environmental change degree of each component corresponding to each monitoring data in the previous period and the amplitude mean value of each component corresponding to each monitoring data; And correcting the various monitoring data of each parking space according to the interference correction coefficient of each monitoring data of each parking space in the current period to obtain corrected various monitoring data. Optionally, decomposing each monitoring sequence to obtain a plurality of components of each monitoring sequence, including: Acquiring multiple monitoring data of each parking space in each period, and arranging each monitoring data in time sequence to obtain a monitoring sequence corresponding to each monitoring data of each parking space in each period so as to obtain multiple monitoring sequences of each parking space in each period, wherein the multiple monitoring data at least comprise one of weight data, magnetic field intensity data and temperature data; And performing empirical mode decomposition on each monitoring sequence of each parking spa