An intelligent image monitoring management system and method based on smart garage

Abstract

The present invention relates to the technical field of intelligent garage supervision, and specifically to an intelligent image monitoring management system and method based on a smart garage, comprising analyzing the exit status of vehicles in parking spaces in a garage under different postures to obtain characteristic vehicle exit data; analyzing the exit status of vehicles in parking spaces in the garage in a current cycle to obtain marked free parking spaces in the garage in the current cycle; analyzing the degree of matching between inbound vehicles and marked free parking spaces in the garage to obtain characteristic free parking spaces for inbound vehicles; obtaining characteristic free parking spaces for inbound vehicles, obtaining characteristic garage route data between characteristic free parking spaces and in-and-out vehicles, and evaluating the time consumption status of inbound vehicles when the inbound vehicles drive towards the characteristic free parking spaces; obtaining target parking data for inbound vehicles, pushing parking information to a vehicle account of the vehicle in a garage program of the garage, and performing intelligent supervision on the vehicles in the garage.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent garage supervision, and in particular to an intelligent image monitoring management system and method based on a smart garage. Background Art

[0002] Smart garage is an intelligent garage management system based on intelligent technologies such as the Internet of Things and artificial intelligence, aiming to provide more efficient, intelligent and convenient parking services. By installing sensors, cameras and other identification devices, smart garages can realize automatic parking, remote control, intelligent management and other functions to improve the utilization rate and safety of garages. Smart garages can help car owners park and pick up cars more conveniently and quickly, reduce inconvenience and safety hazards during parking, and improve parking experience. At present, smart garages monitor and manage vehicles mainly by obtaining vehicle images and vehicle images of vehicles, identifying vehicles in smart garages, and then intelligently monitoring and managing vehicles in smart garages.

[0003] In real life, when a vehicle enters a garage for parking, it is not only difficult for the vehicle to find a suitable parking space due to the shortage of parking spaces. Different parking spaces have different degrees of suitability for different vehicles. The same parking space in the garage is not suitable for all vehicles. At the same time, a general garage contains many parking spaces, some of which may be located in remote areas and not convenient enough, especially for drivers with limited mobility or vehicles with special needs. In addition, the occupancy of parking spaces is unclear. When entering the garage, the driver may not be clear about the occupancy of each parking space and needs to spend time looking for an empty parking space. In addition, vehicles in the garage will encounter different vehicles when heading for an empty parking space. When passing through the garage road, incorrect road selection will also consume a lot of the driver's time. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent image monitoring management system and method based on a smart garage to solve the problems existing in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent image monitoring management method based on a smart garage, the method comprising:

[0006] Step S100: constructing a garage monitoring cloud platform, obtaining historical vehicle exit records of parking spaces in the garage, analyzing the vehicle exit states of vehicles in parking spaces in the garage under different postures, and obtaining characteristic vehicle exit data;

[0007] Step S200: obtaining the marked vehicle images of the vehicles in the parking spaces in the garage in the current cycle, obtaining the characteristic vehicle exit data of the parking spaces in the garage, analyzing the exit status of the vehicles in the parking spaces in the garage in the current cycle, and obtaining the marked vacant parking spaces in the garage in the current cycle;

[0008] Step S300: obtaining characteristic vehicle images of vehicles entering the garage in the current period, obtaining marked free parking spaces in the garage in the current period, obtaining historical vehicle parking records of marked free parking spaces, analyzing the degree of matching between the vehicles entering the garage and the marked free parking spaces in the garage, and obtaining characteristic free parking spaces for the vehicles entering the garage;

[0009] Step S400: Acquire characteristic vacant parking spaces for inbound vehicles, acquire characteristic garage route data between characteristic vacant parking spaces and inbound vehicles, acquire vehicle traffic data of the garage in the current cycle, evaluate the time consumption state of inbound vehicles when they drive toward characteristic vacant parking spaces, and obtain target parking data of inbound vehicles;

[0010] Step S500: Acquire target parking data of the vehicle entering the garage, push parking information to the vehicle account of the vehicle in the garage program of the garage based on the target parking data, and perform intelligent supervision on the vehicles in the garage.

[0011] Furthermore, step S100 includes:

[0012] Step S101: Build a garage monitoring cloud platform, obtain the historical vehicle exit records of each parking space in the garage, and set the unit time T Δ , obtaining the time point at which the historical vehicle exited the parking space in the historical vehicle exit record in the garage;

[0013] Step S102: Obtain the characteristic historical time period of each historical vehicle exit record of each parking space, wherein the characteristic historical time period of the ath historical vehicle exit record of the cth parking space It is represented as the time point when the a-th historical vehicle exits the parking space in the c-th parking space;

[0014] Step S103: Obtain the shooting time points of several vehicle exit images in the a-th historical vehicle exit record, obtain the shooting time points from the several vehicle exit images, and compare them with the initial time point of the characteristic historical period of the a-th historical vehicle exit record. A vehicle exit image with the shortest distance and duration is recorded as the characteristic parking space exit image of the a-th historical vehicle exit record;

[0015] Step S104: Obtain the characteristic parking space exit image of each historical vehicle exit record of the cth parking space, obtain the body length of the vehicle outside the parking space in the characteristic parking space exit image, and obtain the characteristic vehicle ratio value of each historical vehicle exit record of the cth parking space, wherein the characteristic vehicle exit value of the characteristic parking space exit image in the bth historical vehicle exit record of the cth parking space

[0016]

[0017] Among them, L b L is the length of the vehicle outside the parking space in the characteristic parking space exit image of the b-th historical vehicle exit record; b,sum It is represented by the total length of the vehicle in the characteristic parking space exit image of the b-th historical vehicle exit record;

[0018] Step S105: Calculate the target characteristic vehicle exit value P of the cth parking space c :

[0019]

[0020] Where j represents the total number of historical vehicle exit records of the cth parking space; It is represented by the characteristic vehicle exit value of the characteristic parking space exit image in the i-th historical vehicle exit record of the c-th parking space;

[0021] Step S106: Obtain target characteristic vehicle exit values ​​of each parking space in the garage and collect them to obtain characteristic vehicle exit data of the garage.

[0022] Further, step S200 includes:

[0023] Step S201: photographing a number of parking spaces in the garage where parked vehicles move within the current cycle, and obtaining images of marked vehicles on the number of parking spaces;

[0024] Step S202: Acquire characteristic vehicle exit data of the garage, and analyze the exit status of vehicles in the parking spaces in the garage in the current cycle based on the characteristic vehicle exit data, wherein the exit status analysis process of the vehicle in the e-th parking space in the garage is as follows: wherein the e-th parking space is randomly selected from a number of parking spaces in the garage in the current cycle;

[0025] Step S203: Obtain the characteristic vehicle exit value corresponding to the marked vehicle image of the e-th parking space in the current cycle through the marked vehicle image of the e-th parking space; when the characteristic vehicle exit value corresponding to the marked vehicle image of the e-th parking space is greater than the target characteristic vehicle exit value of the e-th parking space, it is determined that the e-th parking space will be driven out of the e-th parking space within a unit time, and the e-th parking space is recorded as a marked free parking space in the current cycle, and a number of marked free parking spaces in the garage in the current cycle are obtained.

[0026] Furthermore, step S300 includes:

[0027] Step S301: photographing vehicles entering the garage in the current cycle, obtaining characteristic vehicle images of the vehicles entering the garage, obtaining parking spaces in the garage that are not occupied by vehicles in the current cycle, and also recording parking spaces that are not occupied by vehicles in the current cycle as marked vacant parking spaces, and obtaining each marked vacant parking space in the garage in the current cycle;

[0028] Step S302: obtaining each marked vacant parking space in the garage, obtaining a historical vehicle parking record of each marked vacant parking space, and obtaining a historical vehicle image of a historical vehicle from the historical vehicle parking record;

[0029] Step S303: Analyze the degree of matching between the incoming vehicle and the vacant parking spaces in the garage. The specific analysis process is to calculate the average value of the structural similarity between the characteristic vehicle image of the incoming vehicle and the historical vehicle images in the historical vehicle parking records of each marked vacant parking space. When the average value of the structural similarity between the characteristic vehicle image of the incoming vehicle and the historical vehicle images in the historical vehicle parking records of a certain marked vacant parking space is greater than a preset characteristic similarity threshold, the certain marked vacant parking space is recorded as the characteristic vacant parking space for the incoming vehicle.

[0030] Furthermore, step S400 includes:

[0031] Step S401: Acquire each characteristic vacant parking space for the vehicle entering the garage in the current cycle, and acquire characteristic garage route data of the vehicle entering the garage in the current cycle driving to each characteristic vacant parking space, wherein the characteristic garage route data includes the distance and total number of turns of several parking routes for the vehicle entering the garage driving to the characteristic vacant parking space;

[0032] Step S402: Obtain the median of the time consumed by each historical vehicle when turning in the garage during the historical period, and record the median as the characteristic turning time consumed by the vehicle when turning in the garage, T turn ;

[0033] Step S403: Obtain each historical vehicle intersection record in the historical period in the garage, obtain the time consumed in the vehicle intersection process from the historical vehicle intersection records, and calculate the characteristic consumption time of the vehicle intersection in the garage

[0034]

[0035] Where n is the total number of historical vehicle intersection records in the garage; T x The duration consumed in the vehicle intersection process in the xth historical vehicle intersection record of the garage;

[0036] Step S404: obtaining vehicle traffic data of the garage in the current cycle, the vehicle traffic data being the traffic direction of the vehicles passing through the garage in the current cycle, obtaining a number of parking routes of the vehicles entering the garage in the current cycle driving to the characteristic vacant parking spaces, and obtaining vehicles in the parking routes driving in the opposite direction to the vehicles entering the garage;

[0037] Step S405: Obtain the average vehicle speed of historical vehicles in the garage, which is recorded as the characteristic vehicle speed of the garage. When evaluating the time consumption state of the vehicle entering the warehouse when it drives to the characteristic vacant parking space, the specific evaluation process is to calculate the characteristic traffic consumption values ​​of several vehicle parking routes of the vehicle entering the warehouse to each characteristic vacant parking space in the current cycle, among which the characteristic traffic consumption value H of the g-th vehicle parking route of the f-th characteristic vacant parking space driven by the vehicle entering the warehouse f,g :

[0038]

[0039] Among them, L f,g y is the distance of the parking route of the g-th vehicle heading to the f-th characteristic vacant parking space; f,g K is the total number of turns in the parking route of the g-th vehicle heading to the f-th characteristic vacant parking space; f,g The total number of vehicles on the g-th vehicle parking route of the f-th characteristic vacant parking space that the incoming vehicle is heading for, traveling in the opposite direction to the incoming vehicle;

[0040] Step S406: obtaining the minimum value of characteristic traffic consumption values ​​of a plurality of vehicle parking routes of each characteristic vacant parking space to which the incoming vehicle is heading, and recording the vehicle parking route of the characteristic vacant parking space corresponding to the minimum value as the target vacant parking space and the target vehicle parking route, respectively, and collecting the target vacant parking space and the target vehicle parking route to obtain the target parking data of the incoming vehicle;

[0041] In the above steps, by acquiring the characteristic garage route data of the vehicles entering the garage in the current cycle and driving to each characteristic vacant parking space, the time consumed by the vehicles entering the garage under different parking routes to drive to the characteristic vacant parking spaces can be analyzed, so as to select the characteristic vacant parking spaces and the corresponding parking routes with the shortest consumption time, thereby reducing the parking time consumed by the vehicles entering the garage, being more conducive to the management of the garage, and greatly improving the parking experience of people entering the garage.

[0042] Furthermore, step S500 includes:

[0043] Step S501: acquiring target parking data of each vehicle entering the garage in the current cycle, and acquiring the vehicle account of each vehicle entering the garage in the garage program;

[0044] Step S502: Based on the target parking data, the parking information is pushed to the vehicle account of the vehicle in the garage program of the garage, wherein the parking information includes the target vacant parking space for the vehicle entering the garage and the parking route of the target vehicle, and the vehicles in the garage are intelligently supervised.

[0045] In order to better implement the above method, an intelligent image monitoring management system is also proposed, which includes a feature vacant parking space module, a target parking data module, and an intelligent supervision module;

[0046] The characteristic free parking space module is used to analyze the matching degree between the incoming vehicle and the marked free parking spaces in the garage to obtain the characteristic free parking spaces of the incoming vehicle;

[0047] The target parking data module is used to evaluate the time consumption state of the vehicle entering the garage when the vehicle is driving towards the characteristic vacant parking space, and obtain the target parking data of the vehicle entering the garage;

[0048] The intelligent supervision module is used to push parking information to the vehicle account of the vehicle in the garage program of the garage according to the target parking data, and to perform intelligent supervision on the vehicles in the garage.

[0049] Furthermore, the characteristic vacant parking space module includes a marking vacant parking space unit and a characteristic vacant parking space unit;

[0050] The marking unit for free parking spaces is used to analyze the exit status of vehicles in the parking spaces in the garage in the current cycle, and obtain the marking free parking spaces in the garage in the current cycle;

[0051] The characteristic free parking space unit is used to obtain the characteristic vehicle image of the vehicle entering the garage in the current cycle, obtain the marked free parking spaces in the garage in the current cycle, obtain the historical vehicle parking records of the marked free parking spaces, analyze the degree of matching between the vehicle entering the garage and the marked free parking spaces in the garage, and obtain the characteristic free parking spaces of the vehicle entering the garage.

[0052] Further, the target parking data module includes a characteristic traffic consumption value unit and a target parking data unit;

[0053] The characteristic traffic consumption value unit is used to calculate the characteristic traffic consumption values ​​of a plurality of vehicle parking routes of the inbound vehicles driving to each characteristic vacant parking space in the current cycle;

[0054] The target parking data unit is used to obtain the target vacant parking space and the target vehicle parking route of the vehicle entering the warehouse in the current cycle, collect the target vacant parking space and the target vehicle parking route, and obtain the target parking data of the vehicle entering the warehouse.

[0055] Further, the intelligent supervision module includes an intelligent supervision unit;

[0056] The intelligent supervision unit is used to push parking information to the vehicle account of the vehicle in the garage program of the garage according to the target parking data, wherein the parking information includes the target vacant parking space and the parking route of the target vehicle entering the garage, and to perform intelligent supervision on the vehicles in the garage.

[0057] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention realizes intelligent image monitoring management based on a smart garage, and through the historical vehicle exit records on the parking spaces, analyzes whether the vehicle will exit the parking space in different postures on the parking space, and the duration of the historical vehicle exiting the parking space in different postures, so as to predict the vacancy of parking spaces in the garage in the current cycle, and according to the predicted vacant parking spaces, reasonably selects several vacant parking spaces suitable for the incoming vehicles based on the vehicle pictures of the incoming vehicles entering the garage in the current cycle, and finally selects the best vacant parking spaces and the best parking routes for the incoming vehicles in the current cycle based on the parking routes between the incoming vehicles and the vacant parking spaces and the driving conditions of the vehicles in the garage, thereby reducing the wandering of vehicles during parking and greatly improving the utilization rate and management efficiency of the garage. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings are used to provide a further understanding of the present invention and constitute part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0059] Figure 1 It is a method flow chart of an intelligent image monitoring management system and method based on a smart garage of the present invention;

[0060] Figure 2 It is a module schematic diagram of an intelligent image monitoring management system and method based on a smart garage of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] See also Figure 1-Figure 2 The present invention provides a technical solution: an intelligent image monitoring and management method based on a smart garage, the method comprising:

[0063] Step S100: constructing a garage monitoring cloud platform, obtaining historical vehicle exit records of parking spaces in the garage, analyzing the vehicle exit states of vehicles in parking spaces in the garage under different postures, and obtaining characteristic vehicle exit data;

[0064] Wherein, step S100 includes:

[0065] Step S101: Build a garage monitoring cloud platform, obtain the historical vehicle exit records of each parking space in the garage, and set the unit time T Δ , obtaining the time point at which the historical vehicle exited the parking space in the historical vehicle exit record in the garage;

[0066] Step S102: Obtain the characteristic historical time period of each historical vehicle exit record of each parking space, wherein the characteristic historical time period of the ath historical vehicle exit record of the cth parking space It is represented as the time point when the a-th historical vehicle exits the parking space in the c-th parking space;

[0067] Step S103: Obtain the shooting time points of several vehicle exit images in the a-th historical vehicle exit record, obtain the shooting time points from the several vehicle exit images, and compare them with the initial time point of the characteristic historical period of the a-th historical vehicle exit record. A vehicle exit image with the shortest distance and duration is recorded as the characteristic parking space exit image of the a-th historical vehicle exit record;

[0068] Step S104: Obtain the characteristic parking space exit image of each historical vehicle exit record of the cth parking space, obtain the body length of the vehicle outside the parking space in the characteristic parking space exit image, and obtain the characteristic vehicle ratio value of each historical vehicle exit record of the cth parking space, wherein the characteristic vehicle exit value of the characteristic parking space exit image in the bth historical vehicle exit record of the cth parking space

[0069]

[0070] Among them, L b L is the length of the vehicle outside the parking space in the characteristic parking space exit image of the b-th historical vehicle exit record; b,sum It is represented by the total length of the vehicle in the characteristic parking space exit image of the b-th historical vehicle exit record;

[0071] For example, the total length L of the vehicle in the characteristic parking space exit image of the first historical vehicle exit record is 1,sum is 100; the body length L1 of the vehicle outside the parking space in the characteristic parking space exit image of the first historical vehicle exit record is 30; the characteristic vehicle exit value of the characteristic parking space exit image in the first historical vehicle exit record of the first parking space is

[0072] Step S105: Calculate the target characteristic vehicle exit value P of the cth parking space c :

[0073]

[0074] Where j represents the total number of historical vehicle exit records of the cth parking space; It is represented by the characteristic vehicle exit value of the characteristic parking space exit image in the i-th historical vehicle exit record of the c-th parking space;

[0075] For example, the total number j of the historical vehicle exit records of the first parking space is 3; the characteristic vehicle exit value of the characteristic parking space exit image in the first historical vehicle exit record of the first parking space is Expressed as 0.30; the characteristic vehicle exit value of the characteristic parking space exit image in the second historical vehicle exit record of the first parking space It is expressed as 0.40; the characteristic vehicle exit value of the characteristic parking space exit image in the third historical vehicle exit record of the first parking space It is expressed as 0.20;

[0076] Calculate the target feature vehicle exit value of the first parking space

[0077] Step S106: acquiring target characteristic vehicle exit values ​​of each parking space in the garage and collecting them to obtain characteristic vehicle exit data of the garage;

[0078] Step S200: obtaining the marked vehicle images of the vehicles in the parking spaces in the garage in the current cycle, obtaining the characteristic vehicle exit data of the parking spaces in the garage, analyzing the exit status of the vehicles in the parking spaces in the garage in the current cycle, and obtaining the marked vacant parking spaces in the garage in the current cycle;

[0079] Wherein, step S200 includes:

[0080] Step S201: photographing a number of parking spaces in the garage where parked vehicles move within the current cycle, and obtaining images of marked vehicles on the number of parking spaces;

[0081] Step S202: Acquire characteristic vehicle exit data of the garage, and analyze the exit status of vehicles in the parking spaces in the garage in the current cycle based on the characteristic vehicle exit data, wherein the exit status analysis process of the vehicle in the e-th parking space in the garage is as follows: wherein the e-th parking space is randomly selected from a number of parking spaces in the garage in the current cycle;

[0082] Step S203: Obtain the characteristic vehicle exit value corresponding to the marked vehicle image of the e-th parking space in the current cycle through the marked vehicle image of the e-th parking space. When the characteristic vehicle exit value corresponding to the marked vehicle image of the e-th parking space is greater than the target characteristic vehicle exit value of the e-th parking space, it is determined that the e-th parking space will exit the e-th parking space within a unit time, and the e-th parking space is recorded as a marked free parking space in the current cycle, and a number of marked free parking spaces in the garage in the current cycle are obtained;

[0083] Step S300: obtaining characteristic vehicle images of vehicles entering the garage in the current period, obtaining marked free parking spaces in the garage in the current period, obtaining historical vehicle parking records of marked free parking spaces, analyzing the degree of matching between the vehicles entering the garage and the marked free parking spaces in the garage, and obtaining characteristic free parking spaces for the vehicles entering the garage;

[0084] Wherein, step S300 includes:

[0085] Step S301: photographing vehicles entering the garage in the current cycle, obtaining characteristic vehicle images of the vehicles entering the garage, obtaining parking spaces in the garage that are not occupied by vehicles in the current cycle, and also recording parking spaces that are not occupied by vehicles in the current cycle as marked vacant parking spaces, and obtaining each marked vacant parking space in the garage in the current cycle;

[0086] Step S302: obtaining each marked vacant parking space in the garage, obtaining a historical vehicle parking record of each marked vacant parking space, and obtaining a historical vehicle image of a historical vehicle from the historical vehicle parking record;

[0087] Step S303: analyzing the degree of matching between the incoming vehicle and the free parking spaces in the garage. The specific analysis process is to calculate the average value of the structural similarity between the characteristic vehicle image of the incoming vehicle and the historical vehicle images in the historical vehicle parking records of each marked free parking space. When the average value of the structural similarity between the characteristic vehicle image of the incoming vehicle and the historical vehicle images in the historical vehicle parking records of a certain marked free parking space is greater than a preset characteristic similarity threshold, the certain marked free parking space is recorded as the characteristic free parking space of the incoming vehicle.

[0088] Step S400: Acquire characteristic vacant parking spaces for inbound vehicles, acquire characteristic garage route data between characteristic vacant parking spaces and inbound vehicles, acquire vehicle traffic data of the garage in the current cycle, evaluate the time consumption state of inbound vehicles when they drive toward characteristic vacant parking spaces, and obtain target parking data of inbound vehicles;

[0089] Wherein, step S400 includes:

[0090] Step S401: Acquire each characteristic vacant parking space for the vehicle entering the garage in the current cycle, and acquire characteristic garage route data of the vehicle entering the garage in the current cycle driving to each characteristic vacant parking space, wherein the characteristic garage route data includes the distance and total number of turns of several parking routes for the vehicle entering the garage driving to the characteristic vacant parking space;

[0091] Step S402: Obtain the median of the time consumed by each historical vehicle when turning in the garage during the historical period, and record the median as the characteristic turning time consumed by the vehicle when turning in the garage, T turn ;

[0092] Step S403: Obtain each historical vehicle intersection record in the historical period in the garage, obtain the time consumed in the vehicle intersection process from the historical vehicle intersection records, and calculate the characteristic consumption time of the vehicle intersection in the garage

[0093]

[0094] Where n is the total number of historical vehicle intersection records in the garage; T x The duration consumed in the vehicle intersection process in the xth historical vehicle intersection record of the garage;

[0095] Step S404: obtaining vehicle traffic data of the garage in the current cycle, the vehicle traffic data being the traffic direction of the vehicles passing through the garage in the current cycle, obtaining a number of parking routes of the vehicles entering the garage in the current cycle driving to the characteristic vacant parking spaces, and obtaining vehicles in the parking routes driving in the opposite direction to the vehicles entering the garage;

[0096] Step S405: Obtain the average vehicle speed of historical vehicles in the garage, which is recorded as the characteristic vehicle speed of the garage. When evaluating the time consumption state of the vehicle entering the warehouse when it drives to the characteristic vacant parking space, the specific evaluation process is to calculate the characteristic traffic consumption values ​​of several vehicle parking routes of the vehicle entering the warehouse to each characteristic vacant parking space in the current cycle, among which the characteristic traffic consumption value H of the g-th vehicle parking route of the f-th characteristic vacant parking space driven by the vehicle entering the warehouse f,g :

[0097]

[0098] Among them, L f,g y is the distance of the parking route of the g-th vehicle heading to the f-th characteristic vacant parking space; f,g K is the total number of turns in the parking route of the g-th vehicle heading to the f-th characteristic vacant parking space; f,g The total number of vehicles on the g-th vehicle parking route of the f-th characteristic vacant parking space that the incoming vehicle is heading for, traveling in the opposite direction to the incoming vehicle;

[0099] Step S406: obtaining the minimum value of characteristic traffic consumption values ​​of a plurality of vehicle parking routes of each characteristic vacant parking space to which the incoming vehicle is heading, and recording the vehicle parking route of the characteristic vacant parking space corresponding to the minimum value as the target vacant parking space and the target vehicle parking route, respectively, and collecting the target vacant parking space and the target vehicle parking route to obtain the target parking data of the incoming vehicle;

[0100] Step S500: Acquire target parking data of the vehicle entering the garage, push parking information to the vehicle account of the vehicle in the garage program of the garage based on the target parking data, and perform intelligent supervision on the vehicles in the garage.

[0101] Wherein, step S500 includes:

[0102] Step S501: acquiring target parking data of each vehicle entering the garage in the current cycle, and acquiring the vehicle account of each vehicle entering the garage in the garage program;

[0103] Step S502: Based on the target parking data, the parking information is pushed to the vehicle account of the vehicle in the garage program of the garage, wherein the parking information includes the target vacant parking space of the vehicle entering the garage and the parking route of the target vehicle, and the vehicles in the garage are intelligently supervised;

[0104] In order to better implement the above method, an intelligent image monitoring management system is also proposed, which includes a feature vacant parking space module, a target parking data module, and an intelligent supervision module;

[0105] The characteristic free parking space module is used to analyze the matching degree between the incoming vehicle and the marked free parking spaces in the garage to obtain the characteristic free parking spaces of the incoming vehicle;

[0106] The target parking data module is used to evaluate the time consumption state of the vehicle entering the garage when the vehicle is driving towards the characteristic vacant parking space, and obtain the target parking data of the vehicle entering the garage;

[0107] An intelligent supervision module is used to push parking information to the vehicle account of the vehicle in the garage program of the garage according to the target parking data, and to perform intelligent supervision on the vehicles in the garage;

[0108] Among them, the characteristic vacant parking space module includes a marking vacant parking space unit and a characteristic vacant parking space unit;

[0109] The marking unit for free parking spaces is used to analyze the exit status of vehicles in the parking spaces in the garage in the current cycle, and obtain the marking free parking spaces in the garage in the current cycle;

[0110] The characteristic free parking space unit is used to obtain the characteristic vehicle image of the vehicle entering the garage in the current cycle, obtain the marked free parking spaces in the garage in the current cycle, obtain the historical vehicle parking records of the marked free parking spaces, analyze the degree of matching between the vehicle entering the garage and the marked free parking spaces in the garage, and obtain the characteristic free parking spaces of the vehicle entering the garage;

[0111] Among them, the target parking data module includes a characteristic traffic consumption value unit and a target parking data unit;

[0112] The characteristic traffic consumption value unit is used to calculate the characteristic traffic consumption values ​​of a plurality of vehicle parking routes of the inbound vehicles driving to each characteristic vacant parking space in the current cycle;

[0113] The target parking data unit is used to obtain the target free parking space and the target vehicle parking route of the vehicle entering the warehouse in the current cycle, collect the target free parking space and the target vehicle parking route, and obtain the target parking data of the vehicle entering the warehouse;

[0114] Among them, the intelligent supervision module includes an intelligent supervision unit;

[0115] The intelligent supervision unit is used to push parking information to the vehicle account of the vehicle in the garage program of the garage according to the target parking data, wherein the parking information includes the target vacant parking space and the parking route of the target vehicle entering the garage, and to perform intelligent supervision on the vehicles in the garage.

[0116] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0117] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent image monitoring and management method based on a smart garage, characterized in that: The method comprises: Step S100: constructing a garage monitoring cloud platform, obtaining historical vehicle exit records of parking spaces in the garage, analyzing vehicle exit states of vehicles in the parking spaces in the garage under different postures, and obtaining characteristic vehicle exit data; The step S100 includes: Step S101: Build a garage monitoring cloud platform, obtain the historical vehicle exit records of each parking space in the garage, and set the unit time length T Δ , obtaining the time point at which the historical vehicle exited the parking space in the historical vehicle exit record in the garage; Step S102: Obtain the characteristic historical time period of each historical vehicle exit record of each parking space, wherein the characteristic historical time period of the ath historical vehicle exit record of the cth parking space It is represented as the time point when the historical vehicle exited the parking space in the a-th historical vehicle exit record at the c-th parking space; Step S103: Obtain the shooting time points of several vehicle exit images in the a-th historical vehicle exit record, obtain the shooting time points from the several vehicle exit images, and compare them with the initial time point of the characteristic historical period of the a-th historical vehicle exit record. A vehicle exit image with the shortest distance in time, and the vehicle exit image is recorded as the characteristic parking space exit image of the a-th historical vehicle exit record; Step S104: Obtain the characteristic parking space exit image of each historical vehicle exit record of the cth parking space, obtain the body length of the vehicle outside the parking space in the characteristic parking space exit image, and obtain the characteristic vehicle ratio value of each historical vehicle exit record of the cth parking space, wherein the characteristic vehicle exit value of the characteristic parking space exit image in the bth historical vehicle exit record of the cth parking space Among them, L b L is represented by the body length of the vehicle outside the parking space in the characteristic parking space exit image of the b-th historical vehicle exit record; b,sum The total length of the vehicle in the characteristic parking space exit image of the b-th historical vehicle exit record; Step S105: Calculate the target characteristic vehicle exit value P of the c-th parking space c : Wherein, j represents the total number of historical vehicle exit records of the cth parking space; It is represented by the characteristic vehicle exit value of the characteristic parking space exit image in the i-th historical vehicle exit record of the c-th parking space; Step S106: acquiring and aggregating target characteristic vehicle exit values ​​of each parking space in the garage to obtain characteristic vehicle exit data of the garage; Step S200: obtaining the marked vehicle images of the vehicles in the parking spaces in the garage in the current cycle, obtaining the characteristic vehicle exit data of the parking spaces in the garage, analyzing the exit status of the vehicles in the parking spaces in the garage in the current cycle, and obtaining the marked vacant parking spaces in the garage in the current cycle; Step S300: obtaining a characteristic vehicle image of a vehicle entering a garage in the current period, obtaining a marked vacant parking space in the garage in the current period, obtaining a historical vehicle parking record of the marked vacant parking space, analyzing the degree of matching between the vehicle entering the garage and the marked vacant parking space in the garage, and obtaining the characteristic vacant parking space of the vehicle entering the garage; Step S400: Acquire the characteristic vacant parking space of the vehicle entering the garage, acquire the characteristic garage route data between the characteristic vacant parking space and the vehicle entering the garage, acquire the vehicle traffic data of the garage in the current cycle, evaluate the time consumption state of the vehicle entering the garage when the vehicle enters the garage and drives towards the characteristic vacant parking space, and obtain the target parking data of the vehicle entering the garage; Step S500: Acquire target parking data of the vehicle entering the garage, push parking information to the vehicle account of the vehicle in the garage program of the garage based on the target parking data, and perform intelligent supervision on the vehicles in the garage.

2. According to claim 1, the intelligent image monitoring management method based on the smart garage is characterized in that: The step S200 includes: Step S201: photographing a number of parking spaces in the garage where parked vehicles move within a current cycle, and obtaining images of marked vehicles on the number of parking spaces; Step S202: acquiring characteristic vehicle exit data of the garage, and analyzing the exit status of vehicles in parking spaces in the garage in the current cycle based on the characteristic vehicle exit data, wherein the exit status analysis process of the vehicle in the e-th parking space of the garage is as follows: wherein the e-th parking space is randomly selected from a plurality of parking spaces in the garage in the current cycle; Step S203: Obtain a characteristic vehicle exit value corresponding to the marked vehicle image of the e-th parking space in the current cycle through the marked vehicle image of the e-th parking space; when the characteristic vehicle exit value corresponding to the marked vehicle image of the e-th parking space is greater than the target characteristic vehicle exit value of the e-th parking space, it is determined that the e-th parking space will be driven out of the e-th parking space within a unit time, and the e-th parking space is recorded as a marked free parking space in the current cycle, and a number of marked free parking spaces in the garage in the current cycle are obtained.

3. The intelligent image monitoring management method based on a smart garage according to claim 2 is characterized in that: The step S300 includes: Step S301: photographing vehicles entering the garage in the current cycle, obtaining characteristic vehicle images of the vehicles entering the garage, obtaining parking spaces in the garage that are not occupied by vehicles in the current cycle, and also recording parking spaces in the garage that are not occupied by vehicles in the current cycle as marked vacant parking spaces, and obtaining each marked vacant parking space in the garage in the current cycle; Step S302: acquiring each of the marked vacant parking spaces in the garage, acquiring historical vehicle parking records of each of the marked vacant parking spaces, and acquiring historical vehicle images of historical vehicles from the historical vehicle parking records; Step S303: Analyze the degree of matching between the vehicle entering the garage and the free parking spaces in the garage. The specific analysis process is to calculate the average value of the structural similarity between the characteristic vehicle image of the vehicle entering the garage and the historical vehicle images in the historical vehicle parking records of each marked free parking space. When the average value of the structural similarity between the characteristic vehicle image of the vehicle entering the garage and the historical vehicle images in the historical vehicle parking records of each marked free parking space is greater than a preset characteristic similarity threshold, the marked free parking space is recorded as the characteristic free parking space of the vehicle entering the garage.

4. The intelligent image monitoring management method based on a smart garage according to claim 3 is characterized in that: The step S400 includes: Step S401: Acquire each characteristic vacant parking space of the vehicle entering the garage in the current cycle, and acquire characteristic garage route data of the vehicle entering the garage driving to each characteristic vacant parking space in the current cycle, wherein the characteristic garage route data includes the distance and total number of turns of several parking routes of the vehicle entering the garage driving to the characteristic vacant parking space; Step S402: Obtain the median of the time consumed by each historical vehicle when turning in the garage during the historical period, and record the median as the characteristic turning time T consumed by the vehicle when turning in the garage. turn ; Step S403: Obtain each historical vehicle intersection record in the historical period in the garage, obtain the time consumed in the vehicle intersection process from the historical vehicle intersection record, and calculate the characteristic consumption time of the vehicle intersection in the garage Where n is the total number of historical vehicle intersection records in the garage; T x is the time consumed in the vehicle intersection process in the xth historical vehicle intersection record of the garage; Step S404: obtaining vehicle traffic data of the garage in the current cycle, wherein the vehicle traffic data is the traffic direction of the vehicles passing through the garage in the current cycle, obtaining a plurality of parking routes of the vehicles entering the garage in the current cycle driving to the characteristic vacant parking spaces, and obtaining vehicles in the plurality of parking routes driving in the opposite direction to the vehicles entering the garage; Step S405: Obtain the average vehicle speed of the historical vehicles in the garage, and record it as the characteristic vehicle speed of the garage When the inbound vehicle drives toward the characteristic vacant parking space, the time consumption state of the inbound vehicle is evaluated. The specific evaluation process is to calculate the characteristic passage consumption values ​​of several vehicle parking routes of the inbound vehicle driving toward each characteristic vacant parking space in the current cycle, wherein the characteristic passage consumption value H of the g-th vehicle parking route of the f-th characteristic vacant parking space driven by the inbound vehicle is f,g : Among them, L f,g y is represented by the distance of the g-th vehicle parking route to the f-th characteristic vacant parking space that the inbound vehicle is heading for; f,g K is represented by the total number of turns in the g-th vehicle parking route of the f-th characteristic vacant parking space that the incoming vehicle is heading for; f,g The total number of vehicles on the g-th vehicle parking route of the f-th characteristic vacant parking space to which the incoming vehicle is heading, and which are traveling in the opposite direction to the incoming vehicle; Step S406: Obtain the minimum value of characteristic traffic consumption values ​​of several vehicle parking routes of each characteristic vacant parking space that the inbound vehicle is heading for, and record the vehicle parking routes of the characteristic vacant parking spaces corresponding to the minimum value as target vacant parking spaces and target vehicle parking routes, respectively, and collect the target vacant parking spaces and target vehicle parking routes to obtain target parking data of the inbound vehicle.

5. The intelligent image monitoring management method based on a smart garage according to claim 4 is characterized in that: The step S500 includes: Step S501: acquiring target parking data of each vehicle entering the garage in the current cycle, and acquiring the vehicle account of each vehicle entering the garage in the garage program; Step S502: Based on the target parking data, parking information is pushed to the vehicle account of the vehicle in the garage program of the garage, wherein the parking information includes the target vacant parking space for the vehicle entering the garage and the parking route of the target vehicle, and the vehicles in the garage are intelligently supervised.

6. An intelligent image monitoring management system applied to an intelligent image monitoring management method based on a smart garage as described in any one of claims 1 to 5, characterized in that: The image monitoring management system includes a characteristic vacant parking space module, a target parking data module, and an intelligent supervision module; The characteristic vacant parking space module is used to analyze the matching degree between the incoming vehicle and the marked vacant parking space in the garage to obtain the characteristic vacant parking space of the incoming vehicle; The target parking data module is used to evaluate the time consumption state of the vehicle when the vehicle enters the garage and drives towards the characteristic vacant parking space, so as to obtain the target parking data of the vehicle; The intelligent supervision module is used to push parking information to the vehicle account of the vehicle in the garage program of the garage according to the target parking data, and to perform intelligent supervision on the vehicles in the garage.

7. The intelligent image monitoring management system according to claim 6 is characterized in that: The characteristic vacant parking space module includes a marking vacant parking space unit and a characteristic vacant parking space unit; The marking vacant parking space unit is used to analyze the exit status of vehicles in the parking spaces in the garage in the current cycle to obtain the marked vacant parking spaces in the garage in the current cycle; The characteristic vacant parking space unit is used to obtain the characteristic vehicle image of the vehicle entering the garage in the current period, obtain the marked vacant parking spaces in the garage in the current period, obtain the historical vehicle parking records of the marked vacant parking spaces, analyze the degree of matching between the vehicle entering the garage and the marked vacant parking spaces in the garage, and obtain the characteristic vacant parking space of the vehicle entering the garage.

8. The intelligent image monitoring management system according to claim 6 is characterized in that: The target parking data module includes a characteristic traffic consumption value unit and a target parking data unit; The characteristic traffic consumption value unit is used to calculate the characteristic traffic consumption values ​​of a plurality of vehicle parking routes of the inbound vehicles driving to each characteristic vacant parking space in the current cycle; The target parking data unit is used to obtain the target vacant parking space and the target vehicle parking route of the vehicle entering the warehouse in the current cycle, and to collect the target vacant parking space and the target vehicle parking route to obtain the target parking data of the vehicle entering the warehouse.

9. The intelligent image monitoring management system according to claim 6, characterized in that: The intelligent supervision module includes an intelligent supervision unit; The intelligent supervision unit is used to push parking information to the vehicle account of the vehicle in the garage program of the garage according to the target parking data, wherein the parking information includes the target vacant parking space and the target vehicle parking route of the vehicle entering the garage, and to perform intelligent supervision on the vehicles in the garage.

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