CN114202830A - Intelligent lifting system for garage door - Google Patents
Intelligent lifting system for garage door Download PDFInfo
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- CN114202830A CN114202830A CN202111406643.2A CN202111406643A CN114202830A CN 114202830 A CN114202830 A CN 114202830A CN 202111406643 A CN202111406643 A CN 202111406643A CN 114202830 A CN114202830 A CN 114202830A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00896—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
- G07C9/257—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition electronically
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00896—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses
- G07C2009/00928—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses for garage doors
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Abstract
The invention discloses an intelligent lifting system for garage doors, which belongs to the field of parking garages and is used for solving the problems that an entrance and an exit of a current parking garage are not provided with effective anti-entry measures and personnel can not be effectively prevented from entering the garage, and the intelligent lifting system comprises an intelligent closing module, a region delineating module, an object identification module and a data analysis module, wherein the region delineating module is used for delineating a specified region in front of the garage door and delineating the specified region to obtain an identification region, the object identification module is used for identifying objects in the identification region, the data analysis module is used for analyzing the lifting work of the garage door, the intelligent closing module is combined with the object identification module to realize intelligent control of the garage door, the invention accurately identifies the objects in front of the garage door through double identification, simultaneously effectively prevents personnel from not closing the garage in time after leaving and prevents objects outside the garage from entering the garage, the potential safety hazard is avoided.
Description
Technical Field
The invention belongs to the field of parking garages, relates to a garage lifting control technology, and particularly relates to an intelligent lifting system for garage doors.
Background
A garage generally refers to a place where people park cars. The garage comprises a traditional garage, a mobile garage and the like at present, the traditional garage is a brick-concrete civil engineering garage, the mobile garage is similar to a house, the mobile garage is a new garage, no fixed position is provided, and the place can be changed! The cost is lower than the cost of the two garages, but the service life is relatively low. The service life of the common cloth is 3 months, and the common cloth can be used for 1 to 2 years without artificial damage; the service life of the all-steel mobile garage is 10-20 years.
Among the prior art, the exit of garage parking does not set up effectual entering-proof measure, can not effectively prevent personnel's entering, especially the easy mistake of child who greets and break into, to lifting and horizontal moving type garage parking, personnel's mistake break into and cause the incident very easily, for this reason, we provide a garage and use intelligent operating system.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent lifting system for garage doors.
The technical problem to be solved by the invention is as follows:
(1) how to carry out accurate discernment and set up effectual potential safety hazard prevention and cure measure for the entrance and exit department in garage parking to the object that gets into the garage parking.
The purpose of the invention can be realized by the following technical scheme:
an intelligent lifting system for garage doors comprises a data acquisition module, a user terminal, an intelligent closing module, an area delineation module, an object identification module, a driving terminal, a data analysis module and a server, wherein the area delineation module is used for delineating a designated area in front of a garage door and delineating to obtain an identification area, the data acquisition module is used for acquiring image information, weight information and garage images of objects in the identification area and sending the images to the server, various object information packets are stored in the server in advance, the server sends the image information of the objects in the identification area to the object identification module, the object identification module is used for identifying the objects in the identification area, an identification success signal or an identification failure signal is generated by identification and fed back to the server, and if the server receives the identification success signal, the server sends the image information and the weight information to the data analysis module, the data analysis module is used for analyzing the lifting work of the garage door, generating a garage door starting signal or a recognition failure signal and feeding back the garage door starting signal or the recognition failure signal to the server, if the server receives the garage door starting signal, generating an opening instruction to be loaded to the driving terminal, the driving terminal controls the garage door to be opened after receiving the opening instruction, and if the server receives the recognition failure signal, no operation is performed;
after the vehicle is parked, the vehicle owner clicks a garage door closing button through a user terminal, and the user terminal sends a garage door closing signal to a server; the intelligent garage door closing system comprises a server, an intelligent closing module, an alarm sound notification device, a driving terminal and a garage door closing signal, wherein an opening time threshold is preset in the server, the object identification module is further used for carrying out object identification on the interior of the garage, the server sends the opening time threshold to the intelligent closing module, the intelligent closing module is combined with the object identification module and used for intelligently controlling the garage door, an immediate alarm signal or a garage door closing signal is generated and fed back to the server, if the server receives the immediate alarm signal, an alarm instruction is generated and loaded to an alarm in the interior of the garage, the alarm sound notification device works to notify people of leaving, if the server receives the garage door closing signal, a closing instruction is generated and loaded to the driving terminal, and the driving terminal receives the closing instruction and then controls the garage door to close.
Further, the user terminal is used for registering a login system after the owner inputs the owner information and the vehicle information, and sending the owner information and the vehicle information to the server for storage;
the vehicle owner information comprises a vehicle owner name, a real-name authenticated mobile phone number and a vehicle owner preset face image; the vehicle information includes a license plate number, a vehicle type, a vehicle color, a vehicle preset image, and a vehicle preset contour map.
Further, the image information is a real-time picture and a real-time contour map of the object in the identification area; the weight information is the real-time weight of an object in the identification area, and the garage image is an all-around real-time picture in the garage;
the object information packet comprises a preset image, a preset contour map and a preset contour map length.
Further, the identification process of the object identification module is specifically as follows:
step S1: acquiring a real-time picture of an object in an identification area, placing the real-time picture of the object in an area with a completely black background, carrying out binary processing on the real-time picture of the object to obtain a binary image, and recording the binary image as an object contour map;
step S2: calculating to obtain the length of a real-time outline of the object, and acquiring an object information packet in the server;
step S3: if the length of the real-time contour map is equal to that of the preset contour map, entering the next step;
if the length of the real-time contour diagram is not equal to the length of the preset contour diagram, calculating the length difference between the length of the real-time contour diagram and the length of the preset contour diagram, if the length difference is within a preset range, entering the next step, and if the length difference is not within the preset range, generating an identification failure signal;
step S4: overlapping the object contour map and a preset contour map to obtain an overlapping area of the object contour map and the preset contour map;
step S5: calculating the area of the overlapped area, if the area of the preset contour map is larger than the area of the object contour map, entering step S6, if the area of the object contour map is larger than the area of the preset contour map, entering step S7, if the area of the preset contour map is equal to the area of the object contour map, generating an identification success signal;
step S6: subtracting the area of the overlapped area from the area of the preset contour map to obtain a difference area;
step S7: subtracting the area of the overlapped area from the area of the object contour map to obtain a difference area;
step S8: and if the difference area is not within the preset range, generating an identification failure signal.
Further, the analysis process of the data analysis module is specifically as follows:
the method comprises the following steps: acquiring the real-time weight of the identification area, and comparing the real-time weight of the identification area with a weight threshold;
step two: if the real-time weight of the identification area is greater than or equal to the weight threshold, entering the next step, and if the real-time weight of the identification area is less than the weight threshold, generating an identification failure signal;
step three: acquiring the waiting time of an object in the identification area, and comparing the waiting time of the object in the identification area with a time threshold;
step four: and if the waiting time length is greater than or equal to the time length threshold value, generating a warehouse door starting signal, and if the waiting time length is less than the time length threshold value, generating an identification failure signal.
Further, the control process of the intelligent closing module specifically includes:
the garage door opening time is recorded, the opening time of the garage door is obtained by utilizing the current time of the server, if the opening time reaches the opening time threshold value, the garage is generated, the garage is shot inside the garage after a signal is shot, images inside the garage are identified through the object identification module, if personnel exist inside the garage, an immediate alarm signal is generated, and if personnel do not exist inside the garage, a garage door closing signal is generated and fed back to the server.
Compared with the prior art, the invention has the beneficial effects that:
1. the garage door intelligent lifting system comprises a garage door, a garage door lifting device, a garage door starting signal driving terminal, a garage door identification module, a garage door control module and a garage door control module, wherein the garage door identification module is used for identifying objects in the garage door, the garage door identification module is used for identifying the objects in the garage door, and the garage door identification module is used for identifying the objects in front of the garage door;
2. according to the garage door closing method and device, after the vehicle is parked, the intelligent closing module is combined with the body recognition module to intelligently control the garage door, the garage door shooting signal is generated after the opening time of the garage door is compared with the opening time threshold, the images inside the garage are recognized through the body recognition module, so that an immediate alarm signal or a garage door closing signal is generated, the situation that a person leaves and does not close the garage door in time is effectively prevented, children or foreign matters enter the garage, and potential safety hazards are avoided.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a block diagram of another system of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments, structures, features and effects according to the present invention will be made with reference to the accompanying drawings and preferred embodiments.
Referring to fig. 1-2, an intelligent lifting system for a garage door includes a data acquisition module, a user terminal, an intelligent closing module, an area delineation module, an object identification module, a driving terminal, a data analysis module, and a server;
the user terminal is used for registering a login system after the owner inputs owner information and vehicle information, and sending the owner information and the vehicle information to the server for storage;
specifically, the owner information includes a name of the owner, a phone number of real-name authentication, a preset face image of the owner, and the like; the vehicle information comprises license plate numbers, vehicle types, vehicle colors, vehicle preset images, vehicle preset contour maps and the like;
the system comprises a region delineation module, a data acquisition module and a server, wherein the region delineation module is used for delineating a designated region in front of a garage door to obtain an identification region, the identification region passes through a ground marking line during specific implementation, and the data acquisition module is used for acquiring image information, weight information and a garage image of an object in the identification region and sending the image information, the weight information and the garage image to the server;
the image information is a real-time picture, a real-time outline map and the like of an object in the identification area; the weight information is real-time weight of objects in the identification area and the like, and the garage image is an all-around real-time picture in the garage;
in specific implementation, the data acquisition module comprises a diffuse reflection photoelectric switch arranged in front of a garage door, a weight sensor arranged in a garage door front identification area, a timer arranged in the garage door front identification area, a plurality of dead-angle-free cameras arranged in a garage, and the like, wherein the installation position of the diffuse reflection photoelectric switch is just opposite to a vehicle head which is close to the garage door;
various object information packets are stored in the server in a preset mode, and the object information packets comprise preset images, preset contour maps, preset contour map lengths and the like; the server sends image information of objects in the identification area to the object identification module, after the object identification module receives the image information sent by the server, the object identification module is used for identifying the objects in the identification area, and the identification process specifically comprises the following steps:
step S1: acquiring a real-time picture of an object in an identification area, placing the real-time picture of the object in an area with a completely black background, carrying out binary processing on the real-time picture of the object through opencv to obtain a binary image, and recording the binary image as an object contour map;
step S2: calculating to obtain the length of a real-time outline of the object through opencv, and acquiring an object information packet in the server;
step S3: if the length of the real-time contour map is equal to that of the preset contour map, entering the next step;
if the length of the real-time contour diagram is not equal to the length of the preset contour diagram, calculating the length difference between the length of the real-time contour diagram and the length of the preset contour diagram, if the length difference is within a preset range, entering the next step, and if the length difference is not within the preset range, generating an identification failure signal;
step S4: overlapping the object contour map and a preset contour map to obtain an overlapping area of the object contour map and the preset contour map;
step S5: calculating the area of the overlapped area, if the area of the preset contour map is larger than the area of the object contour map, entering step S6, if the area of the object contour map is larger than the area of the preset contour map, entering step S7, if the area of the preset contour map is equal to the area of the object contour map, generating an identification success signal;
step S6: subtracting the area of the overlapped area from the area of the preset contour map to obtain a difference area;
step S7: subtracting the area of the overlapped area from the area of the object contour map to obtain a difference area;
step S8: if the difference area is not within the preset range, generating an identification failure signal;
the object identification module feeds back an identification success signal or an identification failure signal to the server, if the server receives the identification success signal, the server sends image information and weight information to the data analysis module, the data analysis module receives vehicle information and ground weight information sent by the server, the data analysis module is used for analyzing the lifting work of the garage door, and the analysis process is as follows:
the method comprises the following steps: acquiring the real-time weight of the identification area, and comparing the real-time weight of the identification area with a weight threshold;
step two: if the real-time weight of the identification area is greater than or equal to the weight threshold, entering the next step, and if the real-time weight of the identification area is less than the weight threshold, generating an identification failure signal;
step three: acquiring the waiting time of an object in the identification area, and comparing the waiting time of the object in the identification area with a time threshold;
step four: if the waiting time length is greater than or equal to the time length threshold value, a warehouse door starting signal is generated, and if the waiting time length is less than the time length threshold value, an identification failure signal is generated;
the data analysis module feeds back a library door starting signal or an identification failure signal to the server, if the server receives the library door starting signal, the server generates an opening instruction to be loaded to the driving terminal, the driving terminal controls the garage door to be opened after receiving the opening instruction, and if the server receives the identification failure signal, the server does not perform any operation;
in specific implementation, after the vehicle is parked, a vehicle owner clicks a garage door closing button through a user terminal, the user terminal sends a garage door closing signal to a server, or the vehicle owner clicks the garage door closing button on an operation panel on the outer side of a garage door, the operation panel sends the garage door closing signal to the server, the server generates a closing instruction after receiving the garage door closing signal and loads the closing instruction to a driving terminal, and the driving terminal controls the garage door to be closed after receiving the closing instruction;
more specifically, still take place the garage door easily and forget the phenomenon of closing in the actual time, so can set up a plurality of camera inside the garage, to the inside dead angle-free shooting that constitutes of garage, the long time threshold value of opening has been preset to the server, object identification module still is used for carrying out object identification to the garage inside, the long time threshold value of opening is sent to intelligent closing module to the server, intelligent closing module combines object identification module to be used for realizing intelligent control to the garage door, and the control process specifically does:
recording the opening time of a garage door, obtaining the opening time of the garage door by using the current time of a server, if the opening time reaches an opening time threshold, generating a garage shooting signal, shooting the interior of the garage, identifying an image of the interior of the garage through an object identification module, if personnel exist in the garage, generating an immediate alarm signal, and if personnel do not exist in the garage, generating a garage door closing signal and feeding the signal back to the server;
the intelligent closing module feeds back a garage door closing signal or an immediate alarm signal to the server, if the server receives the immediate alarm signal, the server generates an alarm instruction to be loaded to an alarm inside the garage, the alarm generates an alarm sound to inform personnel of leaving, if the server receives the garage door closing signal, the server generates a closing instruction to be loaded to the driving terminal, and the driving terminal controls the garage door to be closed after receiving the closing instruction;
in a specific implementation, the garage door is not limited to be used in a lifting and horizontal moving type parking garage, but also used in a common parking garage, and therefore includes a route guidance module, which is used for performing route guidance on vehicles entering the garage, and the guidance process is as follows:
step P1: counting the number of idle parking spaces in the garage, if a plurality of idle parking spaces exist, marking the idle parking spaces as u, wherein u is 1, 2, … …, z and z are positive integers, and obtaining a driving distance XJu according to the positions of the idle parking spaces and the positions of vehicles;
step P2: selecting a nearest idle parking space according to the driving distance, and entering the next step if the parking spaces with the same driving distance appear;
step P3: counting the driving routes of the vehicles reaching the vacant parking spaces, and marking the driving routes as LXui, wherein i is 1, 2, … …, x is a positive integer, and i represents the number of the driving routes;
step P5: acquiring the number of turns on a driving route, and marking the number of turns as ZWui; acquiring the number of damping bands on a driving route, and marking the number of the damping bands as JZui;
step P4: calculating an obstacle value ZAui of the driving route by using a formula ZAui which is ZWui multiplied by a1+ JZui multiplied by a 2; in the formula, a1 and a2 are proportionality coefficients with fixed numerical values, and the values of a1 and a2 are both greater than zero;
step P5: selecting a corresponding driving route according to the numerical value of the row resistance value, and reaching an idle parking space according to the driving route;
the route guiding module feeds back a driving route and an idle parking space to the server, the server sends the driving route and the idle parking space to the user terminal, and the user terminal reaches the appointed idle parking space according to the driving route.
An intelligent lifting system for a garage door is characterized in that when the intelligent lifting system works, a vehicle owner inputs vehicle owner information and vehicle information through a user terminal, then a login system is registered, the vehicle owner information and the vehicle information are sent to a server to be stored, then a specified area in front of a garage door is defined through an area defining module, an identification area is defined, meanwhile, image information, weight information and a garage image of an object in the identification area are collected through a data collection module, and the image information, the weight information and the garage image are sent to the server;
the server is stored with various object information packets in advance, the server sends image information of objects in an identification area to an object identification module, the objects in the identification area are identified through the object identification module, real-time pictures of the objects in the identification area are obtained, the real-time pictures of the objects are placed in the area with the completely black background, the real-time pictures of the objects are subjected to binary processing to obtain binary images, the binary images are recorded as object contour maps, the length of the real-time contour map of the objects is obtained through calculation, the object information packets in the server are obtained, if the length of the real-time contour map is not equal to that of the preset contour map, the length difference between the length of the real-time contour map and the length of the preset contour map is calculated, if the length difference is not within the preset range, an identification failure signal is generated, if the length difference is within the preset range or the length of the real-time contour map is equal to that of the preset contour map, overlapping the object contour map and the preset contour map to obtain an overlapping region of the object contour map and the preset contour map, calculating the region area of the overlapping region, if the area of the preset contour map is larger than the area of the object contour map, subtracting the region area of the overlapping region from the area of the preset contour map to obtain a difference area, if the area of the object contour map is larger than the area of the preset contour map, subtracting the region area of the overlapping region from the area of the object contour map to obtain a difference area, if the difference area is within a preset range, generating an identification success signal, if the difference area is not within the preset range, generating an identification failure signal, if the area of the preset contour map is equal to the area of the object contour map, generating an identification success signal, and feeding back the identification success signal or the identification failure signal to the server by the object identification module;
if the server receives the identification success signal, the server sends the image information and the weight information to a data analysis module, the garage door lifting work is analyzed through the data analysis module, the real-time weight of an identification area is obtained, the real-time weight of the identification area is compared with a weight threshold, if the real-time weight of the identification area is smaller than the weight threshold, an identification failure signal is generated, if the real-time weight of the identification area is larger than or equal to the weight threshold, the waiting time of an object in the identification area is further obtained, the waiting time of the object in the identification area is compared with the time threshold, if the waiting time is larger than or equal to the time threshold, a garage door starting signal is generated, if the waiting time is smaller than the time threshold, the identification failure signal is generated, the data analysis module feeds back the garage door starting signal or the identification failure signal to the server, if the server receives the garage door starting signal, the server generates an opening instruction to be loaded to the driving terminal, the driving terminal controls the garage door to be opened after receiving the opening instruction, and if the server receives an identification failure signal, the server does not perform any operation;
after the vehicle is parked, a vehicle owner clicks a garage door closing button through a user terminal, the user terminal sends a garage door closing signal to a server, or the vehicle owner clicks the garage door closing button on an operation panel on the outer side of a garage door, the operation panel sends the garage door closing signal to the server, the server generates a closing instruction after receiving the garage door closing signal and loads the closing instruction to a driving terminal, the driving terminal receives the closing instruction and controls the garage door to be closed, a garage door is forgotten to be closed, a plurality of cameras are arranged inside the garage to shoot the inside of the garage without dead angles, meanwhile, an opening time threshold value is preset by the server and is also used for carrying out object identification on the inside of the garage through an object identification module, the server sends the opening time threshold value to an intelligent closing module, and the intelligent closing module is combined with the object identification module and is used for realizing intelligent control of the garage door, recording the opening time of the garage door, obtaining the opening time of the garage door by using the current time of the server, if the opening time reaches an opening time threshold value, generating a garage shooting signal and then shooting the interior of the garage, identifying the interior image of the garage through an object identification module, if personnel exist in the garage, if the garage door closing signal is received by the server, the server generates an alarm instruction to be loaded to an alarm inside the garage, the alarm works to generate an alarm sound to inform people to leave, if the garage door closing signal is received by the server, the server generates a closing instruction to be loaded to a driving terminal, and the driving terminal controls the garage door to be closed after receiving the closing instruction;
the route guidance module is used for carrying out route guidance on vehicles entering the garage, counting the number of idle parking spaces in the garage, obtaining a driving distance XJu according to the positions of the idle parking spaces and the positions of the vehicles if a plurality of idle parking spaces exist, selecting the nearest idle parking space according to the driving distance, counting the driving route of the vehicles reaching the idle parking spaces if the parking spaces with the same driving distance appear, then obtaining the number of turns ZWui and the number of damping belts JZui on the driving route, calculating the obstacle value ZAui of the driving route by using a formula ZAui which is ZWui multiplied by a1 and JZui multiplied by a2, the corresponding driving route is selected according to the numerical value of the driving resistance value, the idle parking spaces are reached according to the driving route, the driving route and the idle parking spaces are fed back to the server by the route guiding module, the driving route and the idle parking spaces are sent to the user terminal by the server, and the user terminal reaches the appointed idle parking spaces according to the driving route.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (6)
1. An intelligent lifting system for garage doors is characterized by comprising a data acquisition module, a user terminal, an intelligent closing module, an area delineation module, an object identification module, a driving terminal, a data analysis module and a server, wherein the area delineation module is used for delineating a designated area in front of a garage door and delineating the designated area to obtain an identification area, the data acquisition module is used for acquiring image information, weight information and garage images of objects in the identification area and sending the images to the server, various object information packets are stored in the server in advance, the server sends the image information of the objects in the identification area to the object identification module, the object identification module is used for identifying the objects in the identification area, an identification success signal or an identification failure signal is generated by identification and fed back to the server, and if the server receives the identification success signal, the server sends the image information and the weight information to a data analysis module, the data analysis module is used for analyzing the lifting work of the garage door, generating a garage door starting signal or a recognition failure signal and feeding back the garage door starting signal or the recognition failure signal to the server, if the server receives the garage door starting signal, an opening instruction is generated and loaded to a driving terminal, the driving terminal receives the opening instruction and then controls the garage door to be opened, and if the server receives the recognition failure signal, no operation is performed;
after the vehicle is parked, the vehicle owner clicks a garage door closing button through a user terminal, and the user terminal sends a garage door closing signal to a server; the intelligent garage door closing system comprises a server, an intelligent closing module, an alarm, a driving terminal and a door closing module, wherein an opening time threshold is preset in the server, the object identification module is further used for identifying objects inside a garage, the server sends the opening time threshold to the intelligent closing module, the intelligent closing module is combined with the object identification module and used for intelligently controlling a garage door, an immediate alarm signal or a garage door closing signal is generated and fed back to the server, if the server receives the immediate alarm signal, an alarm instruction is generated and loaded to an alarm inside the garage, the alarm works to generate an alarm sound to inform people of leaving, if the server receives the garage door closing signal, a closing instruction is generated and loaded to the driving terminal, and the driving terminal receives the closing instruction and then controls the garage door to close.
2. The intelligent lifting system for the garage door according to claim 1, wherein the user terminal is used for registering a login system after a vehicle owner inputs vehicle owner information and vehicle information, and sending the vehicle owner information and the vehicle information to a server for storage;
the vehicle owner information comprises a vehicle owner name, a real-name authenticated mobile phone number and a vehicle owner preset face image; the vehicle information includes a license plate number, a vehicle type, a vehicle color, a vehicle preset image, and a vehicle preset contour map.
3. The intelligent lifting system for garage doors of claim 1, wherein the image information is a real-time picture and a real-time contour map of objects in the identified area; the weight information is the real-time weight of an object in the identification area, and the garage image is an all-around real-time picture in the garage;
the object information packet comprises a preset image, a preset contour map and a preset contour map length.
4. The intelligent lifting system for garage doors according to claim 1, wherein the identification process of the object identification module is as follows:
step S1: acquiring a real-time picture of an object in an identification area, placing the real-time picture of the object in an area with a completely black background, carrying out binary processing on the real-time picture of the object to obtain a binary image, and recording the binary image as an object contour map;
step S2: calculating to obtain the length of a real-time outline of the object, and acquiring an object information packet in the server;
step S3: if the length of the real-time contour map is equal to that of the preset contour map, entering the next step;
if the length of the real-time contour diagram is not equal to the length of the preset contour diagram, calculating the length difference between the length of the real-time contour diagram and the length of the preset contour diagram, if the length difference is within a preset range, entering the next step, and if the length difference is not within the preset range, generating an identification failure signal;
step S4: overlapping the object contour map and a preset contour map to obtain an overlapping area of the object contour map and the preset contour map;
step S5: calculating the area of the overlapped area, if the area of the preset contour map is larger than the area of the object contour map, entering step S6, if the area of the object contour map is larger than the area of the preset contour map, entering step S7, if the area of the preset contour map is equal to the area of the object contour map, generating an identification success signal;
step S6: subtracting the area of the overlapped area from the area of the preset contour map to obtain a difference area;
step S7: subtracting the area of the overlapped area from the area of the object contour map to obtain a difference area;
step S8: and if the difference area is not within the preset range, generating an identification failure signal.
5. The intelligent lifting system for garage doors according to claim 1, wherein the analysis process of the data analysis module is as follows:
the method comprises the following steps: acquiring the real-time weight of the identification area, and comparing the real-time weight of the identification area with a weight threshold;
step two: if the real-time weight of the identification area is greater than or equal to the weight threshold, entering the next step, and if the real-time weight of the identification area is less than the weight threshold, generating an identification failure signal;
step three: acquiring the waiting time of an object in the identification area, and comparing the waiting time of the object in the identification area with a time threshold;
step four: and if the waiting time length is greater than or equal to the time length threshold value, generating a warehouse door starting signal, and if the waiting time length is less than the time length threshold value, generating an identification failure signal.
6. The intelligent lifting system for garage doors according to claim 1, wherein the intelligent closing module is specifically operated in the following process:
the garage door opening time is recorded, the opening time of the garage door is obtained by utilizing the current time of the server, if the opening time reaches the opening time threshold value, the garage is generated, the garage is shot inside the garage after a signal is shot, images inside the garage are identified through the object identification module, if personnel exist inside the garage, an immediate alarm signal is generated, and if personnel do not exist inside the garage, a garage door closing signal is generated and fed back to the server.
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| CN202111406643.2A CN114202830A (en) | 2021-11-24 | 2021-11-24 | Intelligent lifting system for garage door |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111406643.2A CN114202830A (en) | 2021-11-24 | 2021-11-24 | Intelligent lifting system for garage door |
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