CN115841655A - Electric vehicle household monitoring method and system for urban building fire protection - Google Patents
Electric vehicle household monitoring method and system for urban building fire protection Download PDFInfo
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Abstract
The invention discloses an electric vehicle household monitoring method and system for urban building fire protection, and relates to the technical field of building fire protection, wherein the household monitoring method comprises the following steps: when the human body infrared detector acquires a human body infrared image, starting a camera to acquire the human body image; acquiring license plate information and image information of an electric vehicle at an entrance of a building, and acquiring license plate information and image information of the electric vehicle at an elevator in the building; processing the license plate information of the electric vehicle, and outputting an electric vehicle entering signal when the obtained license plate number of the electric vehicle is valid; the invention can effectively identify and screen the information of the electric vehicle entering the home by monitoring the electric vehicle entering at the entrance of the building and the elevator and extracting the characteristics of the electric vehicle and personnel, thereby solving the problems that the existing electric vehicle entering monitoring method has defects and is difficult to effectively monitor the electric vehicle entering the home.
Description
Technical Field
The invention relates to the technical field of building fire protection, in particular to an electric vehicle household monitoring method and system for urban building fire protection.
Background
Fire fighting refers to the elimination of hidden dangers and the prevention of disasters, i.e., the prevention and solution of human, natural and accidental disasters encountered by people in the life, work and study processes, and certainly the narrow meaning of fire fighting includes the rescue of personnel on the fire scene, the rescue of important facilities and equipment and cultural relics, the safety protection and rescue of important property, the fire fighting and the like. Aims to reduce the damage degree caused by fire and reduce casualties and property loss. In the process of building fire protection, many fires are caused by electric vehicles entering a corridor or entering residents for charging, so that the monitoring of the electric vehicles in the buildings also becomes a part of the urban building fire protection task.
Among the prior art, in the protection monitoring process to building fire control, generally, all carry out fire control through setting up the fire sensing equipment in building each place, smoke alarm, temperature-sensing ware etc. for example, these supervisory equipment can only be used for the conflagration emergence back usually, monitoring to the electric motor car of registering one's residence lacks the actual effectual method, the usual mode is also after the electric motor car takes place the conflagration, the control of fetching relevant position is looked over, consequently lack a method or system that can effectively monitor the electric motor car of registering one's residence and solve the problem that the aforesaid exists, thereby lead to the electric motor car to register one's residence difficulty, the electric motor car is parked and is charged the problem that the nonstandard fire control safety that causes and appear.
Disclosure of Invention
The invention aims to solve one of the technical problems in the prior art at least to a certain extent, the electric vehicle entering monitoring is carried out at the entrance of a building and the elevator, and the feature extraction is carried out aiming at the electric vehicle and personnel, so that the information of the selected electric vehicle entering the household can be effectively identified and screened, and the problems that the existing electric vehicle entering monitoring method is insufficient and the electric vehicle entering the household is difficult to effectively supervise are solved.
In order to achieve the above object, a first aspect of the present invention provides a method for monitoring electric vehicle entering a home for fire fighting in urban buildings, wherein the method for monitoring entering the home is provided with a human body infrared detector and a camera; the human body infrared detector is used for detecting a human body infrared image, and the camera is used for acquiring a human body image;
the home-entry monitoring method comprises the following steps:
when the human body infrared detector acquires a human body infrared image, starting a camera to acquire the human body image;
acquiring license plate information and image information of an electric vehicle at an entrance of a building, and acquiring license plate information and image information of the electric vehicle at an elevator in the building;
processing the license plate information of the electric vehicle, and outputting an electric vehicle entering signal when the obtained license plate number of the electric vehicle is valid;
carrying out electric vehicle feature identification on the human body image to obtain basic electric vehicle features, and outputting an electric vehicle entering signal when the obtained basic electric vehicle features are effective;
when an electric vehicle entering signal is detected at an elevator in a building, outputting an electric vehicle entering first-level signal; when the electric vehicle entering signal is detected at the entrance of the building in the first time period and the electric vehicle entering signal is not detected at the elevator in the building, the electric vehicle entering secondary signal is output.
Further, when the human infrared detector acquires the human infrared image, starting the camera to acquire the human image further comprises: analyzing an infrared thermal imaging image acquired by a human body infrared detector, circling out a region with a temperature higher than a first temperature in the infrared thermal imaging image, setting the region as a thermal reference region, acquiring the area of the thermal reference region, and outputting and acquiring the human body infrared image when the area of the thermal reference region is larger than the first reference area.
Further, handle electric motor car license plate information, when obtaining that electric motor car license plate number is effective, output electric motor car entering signal still includes: setting electric vehicle number reference digits, wherein a value interval is set in each electric vehicle number reference digit;
and comparing each number in the acquired electric vehicle license number with a value interval corresponding to each number in the electric vehicle number reference number, and outputting the valid electric vehicle license number when the comparison result shows that each number in the electric vehicle license number is respectively in the value interval corresponding to each number in the electric vehicle number reference number.
Further, carrying out electric vehicle feature recognition on the human body image, and acquiring the basic electric vehicle features further comprises: acquiring an image in an unmanned state through a camera, and setting the image as a reference image;
comparing the obtained human body image with the reference image to obtain an excess contour in the comparison of the human body image and the reference image;
acquiring the length in the horizontal direction exceeding the outline, setting the length as a reference length, acquiring the height in the vertical direction exceeding the outline, and setting the height as a reference height;
outputting that the reference length is valid when the reference length is greater than the first length threshold and less than the second length threshold; outputting a reference altitude validity when the reference altitude is greater than the first altitude threshold and less than the second altitude threshold;
and when the reference length is effective and the reference height is effective, outputting and acquiring the characteristics of the basic electric vehicle.
Further, when the obtained basic electric vehicle characteristics are valid, outputting the electric vehicle entering signal further comprises: dividing the ground image in the human body image, identifying whether a part which is contacted with the ground image exists in the exceeding outline, and outputting the invalid characteristic of the basic electric vehicle when the part which is contacted with the ground image does not exist in the exceeding outline;
when the part contacting with the ground image exists in the exceeding outline, carrying out effective feature recognition on the exceeding outline by an effective feature recognition method; and when the effective characteristic exists in the exceeding outline through the effective characteristic identification method, outputting the effective characteristic of the basic electric vehicle.
Further, the effective feature identification method comprises the following steps: setting the part which exceeds the contour and is contacted with the ground image as an intersecting line, and screening the intersecting lines in sequence when a plurality of intersecting lines exist;
selecting the middle point of the intersecting line, and setting a horizontal cutting line to enable the horizontal cutting line to be away from the middle point of the intersecting line by a first distance;
respectively selecting intersection points of a horizontal cutting line and the outline exceeding outline at two sides of the midpoint of the intersecting line, and respectively setting the intersection points as screening undetermined points, wherein the screening undetermined points at the two sides are points closest to the midpoint of the intersecting line;
making a circle through two screening undetermined points, enabling the circle to pass through the middle point of the intersecting line, and setting the obtained circle as a tire reference contour;
taking the middle point of the intersecting line as a selection starting point, and respectively selecting a plurality of comparison points on the two sides of the selection starting point along the exceeding outline, wherein the distances between the comparison points are the same;
obtaining the distance between each comparison point and the tire reference contour, setting the distance as a comparison distance, solving an average value of the comparison distances except a maximum value and a minimum value, and setting the average value as a comparison reference value;
when the comparison reference value is smaller than the first comparison threshold value, outputting and identifying the tire contour;
and when the intersection lines exceeding the outline are sequentially screened to obtain two tire outline identification signals, outputting effective characteristics existing in the exceeding outline.
In a second aspect, the invention provides an electric vehicle household monitoring system for urban building fire protection, which comprises an entrance monitoring module, an elevator monitoring module and a household judgment module;
the entrance monitoring module and the elevator monitoring module respectively comprise a license plate recognition unit and an image acquisition unit; the entrance monitoring module is used for acquiring license plate information and image information of an electric vehicle at an entrance of a building, and the elevator monitoring module is used for acquiring license plate information and image information of the electric vehicle at an elevator in the building; the image acquisition unit comprises a human body infrared detector and a camera; the human body infrared detector is used for detecting a human body infrared image, and the camera is used for acquiring a human body image; the entrance monitoring module and the elevator monitoring module are respectively provided with a human body image acquisition strategy, and the human body image acquisition strategy comprises the following steps: when the human body infrared detector acquires a human body infrared image, starting a camera to acquire the human body image;
the family-entry judging module comprises an information processing unit and an analysis judging unit; the information processing unit is configured with a license plate information processing strategy and an image information processing strategy, and the license plate information processing strategy comprises the following steps: processing the license plate information of the electric vehicle; when the obtained license plate number of the electric vehicle is valid, outputting an electric vehicle entering signal; the image information processing policy includes: carrying out electric vehicle feature identification on the human body image to obtain basic electric vehicle features; when the obtained basic electric vehicle characteristics are effective, outputting an electric vehicle entering signal;
the analysis and judgment unit is configured with an entrance judgment strategy; the home entry judgment strategy comprises the following steps: when the elevator monitoring module detects an electric vehicle entering signal, outputting an electric vehicle entering first-level signal; when the entrance monitoring module detects an electric vehicle entering signal and the elevator monitoring module does not detect the electric vehicle entering signal in the first time period, an electric vehicle entering secondary signal is output.
The invention has the beneficial effects that: when the human body infrared detector acquires a human body infrared image, the camera is started to acquire the human body image; the design can identify the entering of personnel, and the electric vehicle needs to be pushed by the personnel when entering the house under normal conditions, so that the condition of the personnel is firstly obtained, the obtaining frequency of the characteristics of the electric vehicle can be reduced, and the data processing amount is reduced;
the invention obtains the license plate information and the image information of the electric vehicle at the entrance of the building and obtains the license plate information and the image information of the electric vehicle at the elevator in the building; when an electric vehicle entering signal is detected at an elevator in a building, outputting an electric vehicle entering first-level signal; when an electric vehicle entering signal is detected at an entrance of a building in a first time period and an electric vehicle entering signal is not detected at an elevator in the building, an electric vehicle entering secondary signal is output, the design can distinguish the electric vehicle parked at a first floor of the building from the electric vehicle parked at the elevator, the fire-fighting hidden danger of the electric vehicle parked at a floor corridor of the building is usually lower than the fire-fighting hidden danger caused by the electric vehicle entering a room, so that the fire-fighting grades of the electric vehicle entering different positions of the building can be formed through distinguishing, and the pertinence of fire-fighting early warning is improved;
according to the invention, the information of the electric vehicle license plate is processed, and when the obtained number of the electric vehicle license plate is valid, an electric vehicle entering signal is output; performing electric vehicle characteristic identification on the human body image to obtain basic electric vehicle characteristics, and outputting an electric vehicle entering signal when the obtained basic electric vehicle characteristics are effective; the electric vehicle with or without license plates can be identified by the design, and the accuracy and comprehensiveness of electric vehicle household identification are improved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
FIG. 1 is a flow chart of a home entry monitoring method according to the present invention;
FIG. 2 is a schematic block diagram of a home entry monitoring system of the present invention;
fig. 3 is a schematic reference diagram of the effective feature recognition method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows: referring to fig. 2, the electric vehicle entry monitoring system for urban building fire protection according to the present invention monitors entry of an electric vehicle at an entrance of a building and an elevator, and performs feature extraction for the electric vehicle and personnel, so as to effectively identify and screen entry information of the electric vehicle, thereby solving the problems that the existing electric vehicle entry monitoring method is insufficient and it is difficult to effectively monitor entry of the electric vehicle.
Specifically, the household monitoring system comprises an entrance monitoring module, an elevator monitoring module and a household judging module;
the entrance monitoring module and the elevator monitoring module respectively comprise a license plate recognition unit and an image acquisition unit; the entrance monitoring module is used for acquiring license plate information and image information of an electric vehicle at an entrance of a building, and the elevator monitoring module is used for acquiring license plate information and image information of the electric vehicle at an elevator in the building; the image acquisition unit comprises a human body infrared detector and a camera; the human body infrared detector is used for detecting a human body infrared image, and the camera is used for acquiring the human body image; entrance monitoring module and elevator monitoring module dispose human image respectively and acquire the strategy, and human image acquires the strategy and includes: when the human body infrared detector acquires a human body infrared image, starting a camera to acquire the human body image; the human body image acquisition strategy further comprises: analyzing an infrared thermal imaging image acquired by a human body infrared detector, circling out a region with a temperature higher than a first temperature in the infrared thermal imaging image, setting the region as a thermal reference region, acquiring the area of the thermal reference region, and outputting and acquiring the human body infrared image when the area of the thermal reference region is larger than the first reference area. When the temperature is specifically set, the first temperature is set to be 15 ℃, and the first reference area is set to be 0.5 square meter;
the family entry judging module comprises an information processing unit and an analysis judging unit; the information processing unit is configured with a license plate information processing strategy and an image information processing strategy, and the license plate information processing strategy comprises the following steps: processing the license plate information of the electric vehicle; when the obtained license plate number of the electric vehicle is valid, outputting an electric vehicle entering signal; the license plate information processing strategy further comprises the following steps: setting electric vehicle number reference digits, wherein a value interval is set in each electric vehicle number reference digit;
comparing each number in the acquired electric vehicle license plate numbers with a value interval corresponding to each number in the electric vehicle number reference digits respectively, and outputting that the electric vehicle license plate numbers are valid when the comparison result shows that each number in the electric vehicle license plate numbers is in the value interval corresponding to each number in the electric vehicle number reference digits respectively; in specific implementation, the value range corresponding to each digit in the reference digit of the electric vehicle number is a combination of a digit and an upper case letter, specifically, a digit from 0 to 9 plus 26 upper case English letters, and the number on the digit is an effective number as long as each digit number belongs to the range of the digit from 0 to 9 or the 26 upper case English letters; the license plate recognition unit adopts the existing license plate acquisition mode to shoot and acquire, and can rapidly screen and recognize the electric vehicle with the license plate through license plate number comparison, so that the data processing amount of image recognition is reduced.
The image information processing policy includes: carrying out electric vehicle feature identification on the human body image to obtain basic electric vehicle features; when the obtained basic electric vehicle characteristics are effective, outputting an electric vehicle entering signal; the image information processing strategy further comprises an electric vehicle general feature identification sub-strategy, and the electric vehicle general feature identification sub-strategy comprises the following steps: acquiring an image in an unmanned state through a camera, and setting the image as a reference image; when the building is specifically set, a wall body is arranged in an entrance entering area of the building, the wall body is used as a background, the wall body is of a whole color under normal conditions, and human body images can be more conveniently extracted when the wall body is compared with the background;
comparing the obtained human body image with the reference image to obtain an excess contour in the comparison of the human body image and the reference image;
acquiring the length in the horizontal direction exceeding the outline, setting the length as a reference length, acquiring the height in the vertical direction exceeding the outline, and setting the height as a reference height;
outputting that the reference length is valid when the reference length is greater than the first length threshold and less than the second length threshold; outputting a reference altitude validity when the reference altitude is greater than the first altitude threshold and less than the second altitude threshold; generally, the length of the electric vehicle is about two meters, the height of the electric vehicle is about 1.2 meters, when the electric vehicle is specifically set, the first length threshold value is set to be 1, the second length threshold value is set to be 2.5, the first height threshold value is set to be 0.5, and the second height threshold value is set to be 2.5, because the height of a person is included, the second height threshold value is set to be higher as much as possible, the comparison process exceeding the outline is compared after proportion reduction according to an actual shot image, a reference image is used as a reference, images in states of lifting things and the like by people can be removed through the screening process, and the effectiveness of data processing is improved; and when the reference length is effective and the reference height is effective, outputting and acquiring the characteristics of the basic electric vehicle.
The image information processing strategy further comprises an electric vehicle effective characteristic identification strategy, and the electric vehicle effective characteristic identification strategy comprises the following steps: dividing the ground image in the human body image, identifying whether a part which is contacted with the ground image exists in the exceeding outline, and outputting the invalid characteristic of the basic electric vehicle when the part which is contacted with the ground image does not exist in the exceeding outline; a state in which a person is generally lifted when there is no portion of the outline that is in contact with the ground image; in the process of acquiring the images, the shooting directions of the cameras are kept stable relatively, the acquired human body images and the reference images have ground images with fixed relative positions, and the ground images in the passageways of the building are usually one color and are in a horizontal distribution state in the images, so that the ground images can be well distinguished from the objects above.
When the part contacting with the ground image exists in the exceeding outline, carrying out effective feature recognition on the exceeding outline by an effective feature recognition method; and when the effective characteristic exists in the exceeding outline through the effective characteristic identification method, outputting the effective characteristic of the basic electric vehicle.
Referring to fig. 3, the effective feature recognition method includes: setting the part which exceeds the contour and is contacted with the ground image as an intersecting line, and screening the intersecting lines in sequence when a plurality of intersecting lines exist;
selecting the middle point of the intersecting line, and setting a horizontal cutting line to enable the horizontal cutting line to be away from the middle point of the intersecting line by a first distance; when the specific setting is carried out, the first distance is set to be 10 centimeters;
respectively selecting intersection points of a horizontal cutting line and the outline exceeding outline at two sides of the midpoint of the intersecting line, and respectively setting the intersection points as screening undetermined points, wherein the screening undetermined points at the two sides are points closest to the midpoint of the intersecting line;
making a circle through two screening undetermined points, enabling the circle to pass through the middle point of the intersecting line, and setting the obtained circle as a tire reference contour;
taking the middle point of the intersecting line as a selection starting point, and respectively selecting a plurality of comparison points on the two sides of the selection starting point along the exceeding outline, wherein the distances between the comparison points are the same;
obtaining the distance between each comparison point and the tire reference contour, setting the distance as a comparison distance, solving an average value of the comparison distances except a maximum value and a minimum value, and setting the average value as a comparison reference value;
when the comparison reference value is smaller than the first comparison threshold value, outputting and identifying the tire contour; when the specific setting is carried out, the unit of the comparison distance is centimeter, the setting range of the first comparison threshold is between 0 and 6, and the setting range is preferably 4;
and when the intersection lines exceeding the outline are sequentially screened to obtain two tire outline recognition signals, outputting effective characteristics existing in the exceeding outline. When two tire outline identification signals exist, the fact that information of two tires is identified in the outline exceeding process is indicated, the characteristic of the electric vehicle can be judged, certain misjudgment can exist in the identification scheme, for example, information of a bicycle can be acquired, but the scheme is the optimal scheme in the current experiment process, and the existing fire-fighting system can be assisted to carry out effective electric vehicle in-home monitoring.
The analysis and judgment unit is configured with an entrance judgment strategy; the home-entry judgment strategy comprises the following steps: when the elevator monitoring module detects an electric vehicle entering signal, outputting an electric vehicle entering first-level signal; when the entrance monitoring module detects an electric vehicle entering signal and the elevator monitoring module does not detect the electric vehicle entering signal in the first time period, an electric vehicle entering secondary signal is output. The fire-fighting hidden danger of the electric vehicle home-entry first-level signal is higher than that of the electric vehicle home-entry second-level signal; under the general condition, the corridor is relatively wide, and as long as the elevator is not entered, the electric vehicle is only parked at the corridor of a first floor, the relative risk level is low, as long as the elevator is entered, the relative risk is high, the electric vehicle parked at the first floor of the building and after entering the elevator is distinguished, the fire-fighting hidden danger of the electric vehicle parked at the corridor of the bottom floor of the building is lower than the fire-fighting hidden danger caused by the electric vehicle entering the room, therefore, through distinguishing, the fire-fighting levels of the electric vehicle entering different positions of the building can be formed, and the pertinence of fire-fighting early warning is improved.
Example two: referring to fig. 1, the invention further provides an electric vehicle household monitoring method for urban building fire protection, wherein the household monitoring method is provided with a human body infrared detector and a camera; the human body infrared detector is used for detecting a human body infrared image, and the camera is used for acquiring the human body image;
the home-entry monitoring method comprises the following steps:
step S1, when a human body infrared detector obtains a human body infrared image, starting a camera to obtain the human body image; the step S1 further includes the steps of:
step S11, analyzing an infrared thermal imaging image acquired by a human body infrared detector, and delineating an area with a temperature higher than a first temperature in the infrared thermal imaging image to set the area as a thermal reference area;
and S12, acquiring the area of the thermal reference area, and outputting and acquiring the human body infrared image when the area of the thermal reference area is larger than the first reference area.
S2, acquiring license plate information and image information of the electric vehicle at an entrance of a building, and acquiring license plate information and image information of the electric vehicle at an elevator in the building;
s3, processing the license plate information of the electric vehicle, and outputting an electric vehicle entering signal when the obtained license plate number of the electric vehicle is valid; step S3 further includes the steps of:
s31, setting electric vehicle number reference digits, wherein each electric vehicle number reference digit is respectively set with a value interval;
and S32, comparing each number in the acquired electric vehicle license number with a value interval corresponding to each of the reference digits of the electric vehicle number, and outputting that the electric vehicle license number is valid when the comparison result shows that each number in the electric vehicle license number is respectively in the value interval corresponding to each of the reference digits of the electric vehicle number.
S4, carrying out electric vehicle feature identification on the human body image to obtain basic electric vehicle features, and outputting an electric vehicle entering signal when the obtained basic electric vehicle features are effective; step S4 further includes the steps of:
step S411, acquiring an image in an unmanned state through a camera, and setting the image as a reference image;
step S412, comparing the obtained human body image with a reference image to obtain an excess outline in the comparison of the human body image and the reference image;
step S413 of acquiring a length in the horizontal direction exceeding the contour, setting the length as a reference length, acquiring a height in the vertical direction exceeding the contour, and setting the height as a reference height;
step S414, when the reference length is greater than the first length threshold and less than the second length threshold, outputting that the reference length is valid; outputting a reference altitude validity when the reference altitude is greater than the first altitude threshold and less than the second altitude threshold;
and step S415, when the reference length is effective and the reference height is effective, outputting and acquiring the basic electric vehicle characteristics.
Step S4 further includes the steps of:
step S421, dividing the ground image in the human body image, identifying whether the portion contacting with the ground image exists in the exceeding outline, and outputting the invalid basic electric vehicle characteristics when the portion contacting with the ground image does not exist in the exceeding outline;
step S422, when the part contacting with the ground image exists in the exceeding outline, effective feature recognition is carried out on the exceeding outline through an effective feature recognition method;
and step S423, outputting that the basic electric vehicle characteristics are effective when the effective characteristics exist in the exceeding outline through the effective characteristic identification method.
The effective feature identification method comprises the following steps:
step S4221, setting the part which exceeds the contour and is contacted with the ground image as an intersecting line, and screening the intersecting lines in sequence when a plurality of intersecting lines exist;
step S4222, selecting a midpoint of the intersection line, and setting a horizontal cutting line to enable the horizontal cutting line to be away from the midpoint of the intersection line by a first distance;
step S4223, respectively selecting intersection points of a horizontal cutting line and the outline exceeding outline at two sides of the midpoint of the intersecting line, and respectively setting the intersection points as screening undetermined points, wherein the screening undetermined points at the two sides are the points closest to the midpoint of the intersecting line;
step S4224, making a circle through two screening undetermined points, enabling the circle to pass through the middle point of the intersecting line, and setting the obtained circle as a tire reference contour;
step S4225, selecting a plurality of comparison points on two sides of the selected starting point along the outline by taking the middle point of the intersecting line as the selected starting point, wherein the distances between the comparison points are the same;
step S4226, acquiring the distance between each comparison point and the tire reference contour, setting the distance as a comparison distance, solving an average value of the comparison distances except for a maximum value and a minimum value, and setting the average value as a comparison reference value;
step S4227, when the comparison reference value is smaller than the first comparison threshold value, outputting and identifying the tire outline;
and step S4228, outputting effective characteristics existing in the exceeding outline when two tire outline recognition signals are obtained after the intersecting lines exceeding the outline are sequentially screened.
S5, when an electric vehicle entering signal is detected at an elevator in a building, outputting an electric vehicle entering first-level signal; when the electric vehicle entering signal is detected at the entrance of the building in the first time period and the electric vehicle entering signal is not detected at the elevator in the building, the electric vehicle entering secondary signal is output.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the medium. The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
Claims (7)
1. An electric vehicle household monitoring method for urban building fire protection is characterized in that a human body infrared detector and a camera are configured in the household monitoring method; the human body infrared detector is used for detecting a human body infrared image, and the camera is used for acquiring a human body image;
the home entry monitoring method comprises the following steps:
when the human body infrared detector acquires a human body infrared image, starting a camera to acquire the human body image;
acquiring license plate information and image information of an electric vehicle at an entrance of a building, and acquiring license plate information and image information of the electric vehicle at an elevator in the building;
processing the license plate information of the electric vehicle, and outputting an electric vehicle entering signal when the obtained license plate number of the electric vehicle is valid;
carrying out electric vehicle feature identification on the human body image to obtain basic electric vehicle features, and outputting an electric vehicle entering signal when the obtained basic electric vehicle features are effective;
when an electric vehicle entering signal is detected at an elevator in a building, outputting an electric vehicle entering first-level signal; when the electric vehicle entering signal is detected at the entrance of the building in the first time period and the electric vehicle entering signal is not detected at the elevator in the building, the electric vehicle entering secondary signal is output.
2. The electric vehicle household-entry monitoring method for urban building fire protection according to claim 1, wherein when the human body infrared detector acquires the human body infrared image, starting the camera to acquire the human body image further comprises: analyzing an infrared thermal imaging image acquired by a human body infrared detector, circling out a region with a temperature higher than a first temperature in the infrared thermal imaging image, setting the region as a thermal reference region, acquiring the area of the thermal reference region, and outputting and acquiring the human body infrared image when the area of the thermal reference region is larger than the first reference area.
3. The method as claimed in claim 1, wherein the step of processing the license plate information of the electric vehicle, and outputting the entry signal of the electric vehicle when the license plate number of the electric vehicle is valid further comprises: setting electric vehicle number reference digits, wherein a value interval is set in each electric vehicle number reference digit;
and comparing each number in the acquired electric vehicle license plate numbers with a value interval corresponding to each number in the electric vehicle number reference digits respectively, and outputting that the electric vehicle license plate numbers are valid when the comparison result shows that each number in the electric vehicle license plate numbers is in the value interval corresponding to each number in the electric vehicle number reference digits respectively.
4. The electric vehicle household monitoring method for urban building fire protection according to claim 3, wherein electric vehicle feature recognition is performed on a human body image, and obtaining basic electric vehicle features further comprises: acquiring an image in an unmanned state through a camera, and setting the image as a reference image;
comparing the obtained human body image with the reference image to obtain an excess contour in the comparison of the human body image and the reference image;
acquiring the length in the horizontal direction exceeding the outline, setting the length as a reference length, acquiring the height in the vertical direction exceeding the outline, and setting the height as a reference height;
outputting that the reference length is valid when the reference length is greater than the first length threshold and less than the second length threshold; outputting a reference altitude validity when the reference altitude is greater than the first altitude threshold and less than the second altitude threshold;
and when the reference length is effective and the reference height is effective, outputting and acquiring the characteristics of the basic electric vehicle.
5. The electric vehicle family-entry monitoring method for urban building fire protection according to claim 4, wherein outputting the electric vehicle entry signal when the obtained basic electric vehicle characteristics are valid further comprises: dividing the ground image in the human body image, identifying whether a part which is contacted with the ground image exists in the exceeding outline, and outputting the invalid characteristic of the basic electric vehicle when the part which is contacted with the ground image does not exist in the exceeding outline;
when the part contacting with the ground image exists in the exceeding outline, carrying out effective feature recognition on the exceeding outline by an effective feature recognition method; and when the effective characteristic exists in the exceeding outline through the effective characteristic identification method, outputting the effective characteristic of the basic electric vehicle.
6. The electric vehicle household monitoring method for urban building fire protection according to claim 5, wherein the effective feature identification method comprises the following steps: setting the part which exceeds the contour and is contacted with the ground image as an intersecting line, and screening the intersecting lines in sequence when a plurality of intersecting lines exist;
selecting the middle point of the intersecting line, and setting a horizontal cutting line to enable the horizontal cutting line to be away from the middle point of the intersecting line by a first distance;
respectively selecting intersection points of a horizontal cutting line and the outline exceeding at two sides of the midpoint of the intersecting line, and respectively setting the intersection points as screening undetermined points, wherein the screening undetermined points at the two sides are points closest to the midpoint of the intersecting line;
making a circle through two screening undetermined points, enabling the circle to pass through the middle point of the intersecting line, and setting the obtained circle as a tire reference contour;
taking the middle point of the intersecting line as a selection starting point, and respectively selecting a plurality of comparison points on the two sides of the selection starting point along the exceeding outline, wherein the distances between the comparison points are the same;
obtaining the distance between each comparison point and the tire reference contour, setting the distance as a comparison distance, solving an average value of the comparison distances except a maximum value and a minimum value, and setting the average value as a comparison reference value;
when the comparison reference value is smaller than the first comparison threshold value, outputting and identifying the tire contour;
and when the intersection lines exceeding the outline are sequentially screened to obtain two tire outline identification signals, outputting effective characteristics existing in the exceeding outline.
7. The household monitoring system of the electric vehicle household monitoring method for urban building fire protection, which is suitable for any one of claims 1 to 6, is characterized by comprising an entrance monitoring module, an elevator monitoring module and a household judging module;
the entrance monitoring module and the elevator monitoring module respectively comprise a license plate recognition unit and an image acquisition unit; the entrance monitoring module is used for acquiring license plate information and image information of an electric vehicle at an entrance of a building, and the elevator monitoring module is used for acquiring license plate information and image information of the electric vehicle at an elevator in the building; the image acquisition unit comprises a human body infrared detector and a camera; the human body infrared detector is used for detecting a human body infrared image, and the camera is used for acquiring a human body image; the entrance monitoring module and the elevator monitoring module are respectively provided with a human body image acquisition strategy, and the human body image acquisition strategy comprises the following steps: when the human body infrared detector acquires a human body infrared image, starting a camera to acquire the human body image;
the family-entry judging module comprises an information processing unit and an analysis judging unit; the information processing unit is configured with a license plate information processing strategy and an image information processing strategy, and the license plate information processing strategy comprises the following steps: processing the license plate information of the electric vehicle; when the obtained license plate number of the electric vehicle is valid, outputting an electric vehicle entering signal; the image information processing policy includes: carrying out electric vehicle feature identification on the human body image to obtain basic electric vehicle features; when the obtained basic electric vehicle characteristics are effective, outputting an electric vehicle entering signal;
the analysis and judgment unit is configured with an entrance judgment strategy; the home entry judgment strategy comprises the following steps: when the elevator monitoring module detects an electric vehicle entering signal, outputting an electric vehicle entering first-level signal; when the entrance monitoring module detects an electric vehicle entering signal and the elevator monitoring module does not detect the electric vehicle entering signal in the first time period, an electric vehicle entering secondary signal is output.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117372968A (en) * | 2023-12-07 | 2024-01-09 | 深圳市智慧城市通信有限公司 | Electric vehicle home-entering monitoring method based on Internet of things |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180286236A1 (en) * | 2017-04-01 | 2018-10-04 | Pied Parker, Inc. | Systems and methods for detecting vehicle movements |
| CN111432188A (en) * | 2020-06-10 | 2020-07-17 | 常州莫森智能科技有限公司 | Security monitoring system and method based on artificial intelligence |
| CN112433261A (en) * | 2020-11-25 | 2021-03-02 | 猫岐智能科技（上海）有限公司 | Scanning imaging monitoring system and method and electric vehicle elevator entering scanning imaging monitoring system |
| CN114519905A (en) * | 2022-03-03 | 2022-05-20 | 成都矽钰建设发展有限公司 | Building intelligent supervision system based on Internet of things |
| CN115662098A (en) * | 2022-11-16 | 2023-01-31 | 广东广宇科技发展有限公司 | Intelligent building fire-fighting early warning method and system, electronic equipment and storage medium |
-
2023
- 2023-02-21 CN CN202310138963.7A patent/CN115841655B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180286236A1 (en) * | 2017-04-01 | 2018-10-04 | Pied Parker, Inc. | Systems and methods for detecting vehicle movements |
| CN111432188A (en) * | 2020-06-10 | 2020-07-17 | 常州莫森智能科技有限公司 | Security monitoring system and method based on artificial intelligence |
| CN112433261A (en) * | 2020-11-25 | 2021-03-02 | 猫岐智能科技（上海）有限公司 | Scanning imaging monitoring system and method and electric vehicle elevator entering scanning imaging monitoring system |
| CN114519905A (en) * | 2022-03-03 | 2022-05-20 | 成都矽钰建设发展有限公司 | Building intelligent supervision system based on Internet of things |
| CN115662098A (en) * | 2022-11-16 | 2023-01-31 | 广东广宇科技发展有限公司 | Intelligent building fire-fighting early warning method and system, electronic equipment and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117372968A (en) * | 2023-12-07 | 2024-01-09 | 深圳市智慧城市通信有限公司 | Electric vehicle home-entering monitoring method based on Internet of things |
| CN117372968B (en) * | 2023-12-07 | 2024-03-22 | 深圳市智慧城市通信有限公司 | Electric vehicle home-entering monitoring method based on Internet of things |
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