CN112489365B - Alarm control system and method based on big data - Google Patents
Alarm control system and method based on big data Download PDFInfo
- Publication number
- CN112489365B CN112489365B CN202011480671.4A CN202011480671A CN112489365B CN 112489365 B CN112489365 B CN 112489365B CN 202011480671 A CN202011480671 A CN 202011480671A CN 112489365 B CN112489365 B CN 112489365B
- Authority
- CN
- China
- Prior art keywords
- image
- real
- road
- pit
- dangerous
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0208—Combination with audio or video communication, e.g. combination with "baby phone" function
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0225—Monitoring making use of different thresholds, e.g. for different alarm levels
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0266—System arrangements wherein the object is to detect the exact distance between parent and child or surveyor and item
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Child & Adolescent Psychology (AREA)
- Multimedia (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Traffic Control Systems (AREA)
- Alarm Systems (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The application discloses an alarm control system and method based on big data, the alarm control system comprises a road condition database, a rear camera control module and a dangerous alarm acquisition judging module, wherein the road condition database is used for storing dangerous geographic positions, the dangerous geographic positions are geographic positions containing a road pit, when the range of the road pit is a controllable range, a first identifier is added to the dangerous geographic positions, when the range of the road pit is an uncontrollable range, a second identifier is added to the dangerous geographic positions, the rear camera control module judges whether to start a rear camera of a mobile terminal according to the moving speed and the inclination angle of the acquired mobile terminal, and the dangerous alarm acquisition judging module judges whether to generate a dangerous alarm according to the real-time image of the rear camera and the real-time geographic position of the mobile terminal.
Description
Technical Field
The application relates to the technical field of big data, in particular to an alarm control system and method based on big data.
Background
With the development of internet technology and mobile terminals, mobile terminals have been fully integrated into people's daily lives, and people increasingly rely on mobile terminals, even many people browse web pages, watch electronic books, chat, play games, etc. with mobile phones during walking, however, watching mobile phones while walking is a very dangerous thing. If the user only looks at the mobile phone and does not notice that a car or a road pit is in front of the walking route, serious threat to the life safety of the user can be caused.
Disclosure of Invention
The application aims to provide an alarm control system and method based on big data, so as to solve the problems in the background technology.
In order to solve the technical problems, the application provides the following technical scheme: the warning control system comprises a road condition database, a rear camera control module and a dangerous warning acquisition judging module, wherein the road condition database is used for storing dangerous geographic positions, the dangerous geographic positions are geographic positions containing a road pit, a first identifier is added to the dangerous geographic positions when the range of the road pit is a controllable range, a second identifier is added to the dangerous geographic positions when the range of the road pit is an uncontrollable range, the rear camera control module judges whether to start a rear camera of the mobile terminal according to the moving speed and the inclination angle of the acquired mobile terminal, and the dangerous warning acquisition judging module judges whether the mobile terminal generates a dangerous warning according to a real-time image of the rear camera and the real-time geographic position of the mobile terminal.
Further, the rear camera control module comprises a moving speed monitoring module, an inclination angle acquisition module and a camera opening module, wherein the moving speed acquisition module is used for monitoring the moving speed of the mobile terminal, when the moving speed of the mobile terminal is monitored to be within a preset moving speed range, the inclination angle acquisition module is used for acquiring the inclination angle of the mobile terminal, and if the inclination angle is within the preset inclination angle range, information is transmitted to the camera opening module to open the rear camera of the mobile terminal.
Further, the hazard alarm acquisition judgment module comprises a real-time image position acquisition module, a circular area detection module, a first processing module and a second processing module, wherein the real-time image position acquisition module is used for acquiring a real-time image of a rear camera and a corresponding real-time geographic position of a mobile terminal, the circular area detection module takes the real-time geographic position as a circle center, a circular area is formed by taking a first preset threshold value as a radius, whether a hazard geographic position exists in the circular area is detected, the first processing module is used for processing the transmission information of the hazard geographic position contained in the circular area when the first processing module detects that the first processing module does not contain the transmission information of the hazard geographic position in the circular area, the second processing module is used for processing the transmission information of the hazard geographic position contained in the circular area, the first processing module comprises an alarm classification module, a first detection module, a safety identifier adding module and a safety identifier number comparison module when the first detection module detects that the first identifier is added in the circular area and the first identifier is added in the first identifier, the mobile terminal generates a first-level hazard alarm when the hazard geographic position is added with the second identifier, the first detection module is used for detecting that the first threshold value is added in the first threshold value, the first threshold value is used for comparing whether the image of the road condition information is contained in the first image to be deleted from the first image position to a certain number of the safety identifier, and the safety identifier is compared with the first number of the safety identifier in a database if the first number of the safety identifier is added in the first database, and the time period when the linear distance between the real-time geographic position and the dangerous geographic position of the mobile terminal is smaller than or equal to a second preset threshold value is a monitoring time period.
Further, the second processing module comprises a road pit image detection module and a road pit range judgment module, when the situation that the dangerous geographic position is not contained in the circular area is detected, the road pit image detection module acquires a real-time image acquired by a rear camera, if the road pit image is contained in the real-time image, the current geographic position is the dangerous geographic position, the mobile terminal generates a secondary dangerous alarm, uploads the dangerous geographic position to the road condition database, and enables the road pit range judgment module to acquire and analyze the real-time image and the road pit image and judge whether the range of the road pit is a controllable range according to the real-time image and the road pit image, the road pit range judgment module comprises a contour image acquisition module, a first road pit reference amount calculation module, an image sorting selection module, a distance acquisition module, a second road pit reference amount calculation module and a second road pit reference amount comparison module, the contour image acquisition module acquires all real-time images acquired by a rear camera in a monitoring time period, extracts the contour of a pit image in each real-time image, the first pit reference amount calculation module calculates a first pit reference amount according to the contour area of the pit image in each real-time image and the area of each real-time image, the image sorting selection module sorts each real-time image according to the order of the first pit reference amount from large to small, selects the first real-time image as an evaluation image, the distance acquisition module acquires the contour edge of the pit image in the evaluation image, and accordingly acquires the distance L1 between the leftmost point of the pit image and the left edge of the real-time image, the distance L2 between the rightmost point of the pit image and the right edge of the real-time image, the distance L3 between the uppermost point of the pit image and the upper edge of the real-time image, the distance L4 between the lowest endpoint of the road pit image and the lower edge of the real-time image, the second road pit reference quantity calculating module calculates a second road pit reference quantity according to the distance acquired by the distance acquisition module, the second road pit reference quantity comparing module compares the second road pit reference quantity with a second road pit reference quantity threshold value, when the second road pit reference quantity is larger than the second road pit reference quantity threshold value, the range of the road pit is judged to be a controllable range, and when the second road pit reference quantity is smaller than or equal to the second road pit reference quantity threshold value, the range of the road pit is judged to be an uncontrollable range.
An alarm control method based on big data, the alarm control method comprising the following steps:
step S1: a road condition database is established in advance and is used for storing dangerous geographic positions, wherein the dangerous geographic positions are geographic positions containing road pits, a first identifier is added to the dangerous geographic positions when the range of the road pits is a controllable range, and a second identifier is added to the dangerous geographic positions when the range of the road pits is an uncontrollable range;
step S2: when the moving speed of the mobile terminal is monitored to be within a preset moving speed range, acquiring an inclination angle of the mobile terminal, and if the inclination angle is within the preset inclination angle range, starting a rear camera of the mobile terminal, and acquiring a real-time image of the rear camera and a real-time geographic position of the mobile terminal;
step S3: and forming a circular area by taking the real-time geographic position as a circle center and taking a first preset threshold value as a radius, and determining whether the mobile terminal generates a dangerous alarm according to the condition that the circular area contains the dangerous geographic position and the real-time image.
Further, the step S3 includes:
if the dangerous geographic position is detected to be contained in the circular area, the mobile terminal generates a dangerous alarm and acquires a real-time image of the rear camera and the real-time geographic position of the mobile terminal,
if the linear distance between the real-time geographic position of the mobile terminal and the dangerous geographic position in a certain time period is detected to be smaller than or equal to a second preset threshold value, the time period is set as a monitoring time period, if no road pit image is detected in the real-time images acquired by the rear camera in the monitoring time period, a safety mark is added to the dangerous geographic position in the road condition database,
wherein when the first identifier is added to the dangerous geographic position, the mobile terminal generates a first-level dangerous alarm,
when the second identifier is added to the dangerous geographic position, the mobile terminal generates a secondary dangerous alarm.
Further, the step S3 further includes:
if the dangerous geographic position is not contained in the circular area, acquiring a real-time image acquired by a rear camera, if the real-time image contains a road pit image, the current geographic position is the dangerous geographic position, generating a secondary dangerous alarm by the mobile terminal, uploading the dangerous geographic position to a road condition database,
and acquiring and analyzing the real-time image and the road pit image, and judging whether the range of the road pit is a controllable range according to the real-time image and the road pit image.
Further, the collecting and analyzing the real-time image and the road pit image and judging whether the range of the road pit is a controllable range according to the real-time image and the road pit image comprises the following steps:
acquiring all real-time images acquired by a rear camera in a monitoring time period, acquiring the outline of a road pit image in each real-time image, and respectively calculating a first road pit reference quantity P=Mk/Mz of each real-time image, wherein Mk is the outline area of the road pit image in each real-time image, and Mz is the area of each real-time image;
sequencing each real-time image according to the sequence from the large reference quantity to the small reference quantity of the first path pit, and selecting the first real-time image as an evaluation image, thereby achieving the technical effect that the selected evaluation image is more accurate and reliable;
acquiring the outline edge of the road pit image in the evaluation image, and respectively acquiring the distance L1 between the leftmost point of the road pit image and the left edge of the real-time image, the distance L2 between the rightmost point of the road pit image and the right edge of the real-time image, the distance L3 between the uppermost point of the road pit image and the upper edge of the real-time image and the distance L4 between the bottommost point of the road pit image and the lower edge of the real-time image according to the outline edge,
calculating a second pit reference amount m=l1/lc+l2/lc+l3/lk+l4/Lk, where Lc is an upper side edge length of the real-time image, lk is a left side edge length of the real-time image,
if the second pit reference is greater than the second pit reference threshold, the pit range is a controllable range,
otherwise, the range of the road pit is an uncontrollable range.
Further, the step S3 further includes:
when the number of the safety marks added in a certain dangerous geographic position is larger than or equal to a first number threshold value, deleting the dangerous geographic position from the road condition database, so that the technical effect of updating the road condition database in time is achieved, and the alarm control is more accurate;
further, the first-level danger alarm is vibration and ringing, and the second-level danger alarm is screen extinguishing.
Compared with the prior art, the application has the following beneficial effects: the application extracts the road pit image in the real-time image by collecting the real-time image of the rear camera, analyzes the road pit image, judges whether the user can have larger influence on the user when the user passes through the road pit according to the road pit image, marks the position by adopting different marks, and generates different alarm modes aiming at different marks, so that the alarm modes are more reasonable.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate the application and together with the embodiments of the application, serve to explain the application. In the drawings:
FIG. 1 is a block diagram of the big data based alarm control system of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the present application provides the following technical solutions: the warning control system comprises a road condition database, a rear camera control module and a dangerous warning acquisition judging module, wherein the road condition database is used for storing dangerous geographic positions, the dangerous geographic positions are geographic positions containing road pits, when the range of the road pits is a controllable range, a first identifier is added to the dangerous geographic positions, when the range of the road pits is an uncontrollable range, a second identifier is added to the dangerous geographic positions, the rear camera control module judges whether to start a rear camera of the mobile terminal according to the moving speed and the inclination angle of the acquired mobile terminal, and the dangerous warning acquisition judging module judges whether to generate a dangerous warning according to the real-time image of the rear camera and the real-time geographic position of the mobile terminal.
The rear camera control module comprises a moving speed monitoring module, an inclination angle acquisition module and a camera opening module, wherein the moving speed acquisition module is used for monitoring the moving speed of the mobile terminal, the inclination angle acquisition module is used for acquiring the inclination angle of the mobile terminal when the moving speed of the mobile terminal is monitored to be within a preset moving speed range, and if the inclination angle is within the preset inclination angle range, the rear camera of the mobile terminal is opened by the camera opening module through transmitting information.
The dangerous alarm acquisition judging module comprises a real-time image position acquisition module, a circular area detection module, a first processing module and a second processing module, wherein the real-time image position acquisition module is used for acquiring a real-time image of a rear camera and a corresponding real-time geographic position of a mobile terminal, the circular area detection module takes the real-time geographic position as a circle center, a circular area is formed by taking a first preset threshold value as a radius, whether a dangerous geographic position exists in the circular area is detected, the first processing module is used for processing when transmission information of the dangerous geographic position is contained in the circular area, the second processing module is used for processing when transmission information of the dangerous geographic position is not contained in the circular area is detected, the first processing module comprises an alarm grading module, a first detection module in a monitoring time period, a safety mark adding module and a safety mark number comparison module, the mobile terminal generates a first-level dangerous alarm when the dangerous geographic position is detected to contain a first mark, the mobile terminal generates a second-level dangerous alarm when the dangerous geographic position is added with the second mark, the first detection module is used for detecting whether the image of the rear camera is contained in the monitoring time period and the first image is contained in a first road condition, the number is equal to a first road condition, the number is added to a safety mark in a safety mark database when the first road condition is deleted from the first road condition data, the number is added to the first road condition data, the number is compared with the safety mark is compared with the first image when the first road condition is contained in the first image, the safety mark is added with the first image and the safety mark is compared with the first number in the safety mark, and the safety image is compared with the number with the safety image when the first image is in the position is stored in the position and the safety image has the first image has a threshold value and the safety condition is in the real time. And when the linear distance between the real-time geographic position and the dangerous geographic position of the mobile terminal is smaller than or equal to a second preset threshold value, the time period is a monitoring time period.
The second processing module comprises a road pit image detection module and a road pit range judging module, when the situation that the dangerous geographic position is not contained in the circular area is detected, the road pit image detection module acquires a real-time image acquired by a rear camera, if the road pit image is contained in the real-time image, the current geographic position is the dangerous geographic position, the mobile terminal generates a secondary dangerous alarm, uploads the dangerous geographic position to a road condition database, the road pit range judging module acquires and analyzes the real-time image and the road pit image and judges whether the range of the road pit is a controllable range according to the real-time image and the road pit image, the road pit range judging module comprises a contour image acquisition module, a first road pit reference amount calculation module, an image sorting selection module, a distance acquisition module, a second road pit reference amount calculation module and a second road pit reference amount comparison module, the contour image acquisition module acquires all real-time images acquired by a rear camera in a monitoring time period, extracts the contour of a pit image in each real-time image, the first pit reference amount calculation module calculates a first pit reference amount according to the contour area of the pit image in each real-time image and the area of each real-time image, the image sorting selection module sorts each real-time image according to the order of the first pit reference amount from large to small, selects the first real-time image as an evaluation image, the distance acquisition module acquires the contour edge of the pit image in the evaluation image, and accordingly acquires the distance L1 between the leftmost point of the pit image and the left edge of the real-time image, the distance L2 between the rightmost point of the pit image and the right edge of the real-time image, the distance L3 between the uppermost point of the pit image and the upper edge of the real-time image, the distance L4 between the lowest endpoint of the road pit image and the lower edge of the real-time image, the second road pit reference quantity calculating module calculates a second road pit reference quantity according to the distance acquired by the distance acquisition module, the second road pit reference quantity comparing module compares the second road pit reference quantity with a second road pit reference quantity threshold value, when the second road pit reference quantity is larger than the second road pit reference quantity threshold value, the range of the road pit is judged to be a controllable range, and when the second road pit reference quantity is smaller than or equal to the second road pit reference quantity threshold value, the range of the road pit is judged to be an uncontrollable range.
An alarm control method based on big data, the alarm control method comprising the following steps:
step S1: a road condition database is established in advance and is used for storing dangerous geographic positions, wherein the dangerous geographic positions are geographic positions containing road pits, a first identifier is added to the dangerous geographic positions when the range of the road pits is a controllable range, and a second identifier is added to the dangerous geographic positions when the range of the road pits is an uncontrollable range;
step S2: when the moving speed of the mobile terminal is monitored to be within a preset moving speed range, acquiring an inclination angle of the mobile terminal, and if the inclination angle is within the preset inclination angle range, starting a rear camera of the mobile terminal, and acquiring a real-time image of the rear camera and a real-time geographic position of the mobile terminal; the inclination angle refers to the included angle between the mobile phone and the horizontal plane parallel to the road surface;
step S3: taking the real-time geographic position as a circle center, forming a circular area by taking a first preset threshold value as a radius, and determining whether the mobile terminal generates a dangerous alarm according to the condition that the circular area contains the dangerous geographic position and the real-time image:
if the dangerous geographic position is detected to be contained in the circular area, the mobile terminal generates a dangerous alarm and acquires a real-time image of the rear camera and the real-time geographic position of the mobile terminal,
if the linear distance between the real-time geographic position of the mobile terminal and the dangerous geographic position in a certain time period is detected to be smaller than or equal to a second preset threshold value, the time period is set as a monitoring time period, if no road pit image is detected in the real-time images acquired by the rear camera in the monitoring time period, a safety mark is added to the dangerous geographic position in the road condition database, when the number of the safety marks added to the certain dangerous geographic position is larger than or equal to a first number threshold value, the dangerous geographic position is deleted from the road condition database,
wherein when the first identifier is added to the dangerous geographic position, the mobile terminal generates a first-level dangerous alarm,
when a second identifier is added to the dangerous geographic position, the mobile terminal generates a second-level dangerous alarm, and generates different dangerous alarms according to different identifiers added to the dangerous geographic position;
the first-level danger alarm is vibration and ringing, and the second-level danger alarm is a screen extinguishing;
if the dangerous geographic position is not contained in the circular area, acquiring a real-time image acquired by a rear camera, if the real-time image contains a road pit image, the current geographic position is the dangerous geographic position, generating a secondary dangerous alarm by the mobile terminal, uploading the dangerous geographic position to a road condition database,
collecting and analyzing real-time images and road pit images, and judging whether the range of the road pit is a controllable range according to the real-time images and the road pit images:
acquiring all real-time images acquired by a rear camera in a monitoring time period, acquiring the outline of a road pit image in each real-time image, and respectively calculating a first road pit reference quantity P=Mk/Mz of each real-time image, wherein Mk is the outline area of the road pit image in each real-time image, and Mz is the area of each real-time image; the monitoring time period refers to a time period when the linear distance between the real-time geographic position and the dangerous geographic position of the mobile terminal is smaller than or equal to a second preset threshold value, and further, the monitoring time period refers to a time period when the linear distance between the real-time geographic position and the dangerous geographic position is smaller than or equal to the second preset threshold value when the dangerous geographic position is positioned in front of the route of the mobile terminal;
sequencing each real-time image according to the sequence from large to small of the first road pit reference quantity, selecting the first real-time image as an evaluation image, wherein the content of the real-time images collected at different geographic positions is different, when the road pit is closer to the road pit, the road pit image in the collected real-time image is closer to the road pit in the actual situation, but the mobile terminal can shake in the moving process of the mobile terminal held by a user, so that the road pit image is sometimes larger and sometimes smaller in the collected image, and the evaluation image is selected through the first road pit reference quantity;
acquiring the outline edge of the road pit image in the evaluation image, and respectively acquiring the distance L1 between the leftmost point of the road pit image and the left edge of the real-time image, the distance L2 between the rightmost point of the road pit image and the right edge of the real-time image, the distance L3 between the uppermost point of the road pit image and the upper edge of the real-time image and the distance L4 between the bottommost point of the road pit image and the lower edge of the real-time image according to the outline edge,
calculating a second pit reference amount m=l1/lc+l2/lc+l3/lk+l4/Lk, where Lc is an upper side edge length of the real-time image, lk is a left side edge length of the real-time image,
if the second pit reference is greater than the second pit reference threshold, the pit range is a controllable range,
and if the second pit reference quantity is smaller than or equal to the second pit reference quantity threshold value, the range of the pit is an uncontrollable range. When the second pit reference amount is smaller than or equal to the second pit reference amount threshold value, the pit is larger, and the life safety is possibly threatened, so that a second alarm is needed to remind the user.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present application, and the present application is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present application has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (4)
1. The warning control system based on big data is characterized by comprising a road condition database, a rear camera control module and a dangerous warning acquisition judging module, wherein the road condition database is used for storing dangerous geographic positions, the dangerous geographic positions are geographic positions containing a road pit, a first identifier is added to the dangerous geographic positions when the range of the road pit is a controllable range, a second identifier is added to the dangerous geographic positions when the range of the road pit is an uncontrollable range, the rear camera control module judges whether to start a rear camera of a mobile terminal according to the moving speed and the inclination angle of the acquisition mobile terminal, and the dangerous warning acquisition judging module judges whether to generate a dangerous warning according to a real-time image of the rear camera and the real-time geographic position of the mobile terminal;
the rear camera control module comprises a moving speed monitoring module, an inclination angle acquisition module and a camera opening module, wherein the moving speed acquisition module is used for monitoring the moving speed of the mobile terminal, when the moving speed of the mobile terminal is monitored to be within a preset moving speed range, the inclination angle acquisition module is used for acquiring the inclination angle of the mobile terminal, and if the inclination angle is within the preset inclination angle range, the information is transmitted to the camera opening module to open a rear camera of the mobile terminal;
the dangerous alarm acquisition judging module comprises a real-time image position acquisition module, a circular area detection module, a first processing module and a second processing module, wherein the real-time image position acquisition module is used for acquiring a real-time image of a rear camera and a corresponding real-time geographic position of a mobile terminal, the circular area detection module takes the real-time geographic position as a circle center, a circular area is formed by taking a first preset threshold value as a radius, whether a dangerous geographic position exists in the circular area is detected, the first processing module is used for processing when transmission information of the dangerous geographic position is contained in the circular area, the second processing module is used for processing when transmission information of the dangerous geographic position is not contained in the circular area is detected, the first processing module comprises an alarm grading module, a first detection module in a monitoring time period, a safety mark adding module and a safety mark number comparison module, the mobile terminal generates a first-level dangerous alarm when the dangerous geographic position is detected to contain a first mark, the mobile terminal generates a second-level dangerous alarm when the dangerous geographic position is added with the second mark, the first detection module is used for detecting whether the image of the rear camera is contained in the monitoring time period and the first image is contained in a first road condition, the number is equal to a first road condition, the number is added to a safety mark in a safety mark database when the first road condition is deleted from the first road condition data, the number is added to the first road condition data, the number is compared with the safety mark is compared with the first image when the first road condition is contained in the first image, the safety mark is added with the first image and the safety mark is compared with the first number in the safety mark, and the safety image is compared with the number with the safety image when the first image is in the position is stored in the position and the safety image has the first image has a threshold value and the safety condition is in the real time. When the linear distance between the real-time geographic position and the dangerous geographic position of the mobile terminal is smaller than or equal to a second preset threshold value, the time period is a monitoring time period;
the second processing module comprises a road pit image detection module and a road pit range judging module, when the situation that the dangerous geographic position is not contained in the circular area is detected, the road pit image detection module acquires a real-time image acquired by a rear camera, if the road pit image is contained in the real-time image, the current geographic position is the dangerous geographic position, the mobile terminal generates a secondary dangerous alarm, uploads the dangerous geographic position to a road condition database, the road pit range judging module acquires and analyzes the real-time image and the road pit image and judges whether the range of the road pit is a controllable range according to the real-time image and the road pit image, the road pit range judging module comprises a contour image acquisition module, a first road pit reference amount calculation module, an image sorting selection module, a distance acquisition module, a second road pit reference amount calculation module and a second road pit reference amount comparison module, the contour image acquisition module acquires all real-time images acquired by a rear camera in a monitoring time period, extracts the contour of a pit image in each real-time image, the first pit reference amount calculation module calculates a first pit reference amount according to the contour area of the pit image in each real-time image and the area of each real-time image, the image sorting selection module sorts each real-time image according to the order of the first pit reference amount from large to small, selects the first real-time image as an evaluation image, the distance acquisition module acquires the contour edge of the pit image in the evaluation image, and accordingly acquires the distance L1 between the leftmost point of the pit image and the left edge of the real-time image, the distance L2 between the rightmost point of the pit image and the right edge of the real-time image, the distance L3 between the uppermost point of the pit image and the upper edge of the real-time image, the distance L4 between the lowest endpoint of the road pit image and the lower edge of the real-time image, the second road pit reference quantity calculating module calculates a second road pit reference quantity according to the distance acquired by the distance acquisition module, the second road pit reference quantity comparing module compares the second road pit reference quantity with a second road pit reference quantity threshold value, when the second road pit reference quantity is larger than the second road pit reference quantity threshold value, the range of the road pit is judged to be a controllable range, and when the second road pit reference quantity is smaller than or equal to the second road pit reference quantity threshold value, the range of the road pit is judged to be an uncontrollable range.
2. An alarm control method based on big data is characterized in that: the alarm control method comprises the following steps:
step S1: a road condition database is established in advance and is used for storing dangerous geographic positions, wherein the dangerous geographic positions are geographic positions containing road pits, a first identifier is added to the dangerous geographic positions when the range of the road pits is a controllable range, and a second identifier is added to the dangerous geographic positions when the range of the road pits is an uncontrollable range;
step S2: when the moving speed of the mobile terminal is monitored to be within a preset moving speed range, acquiring an inclination angle of the mobile terminal, and if the inclination angle is within the preset inclination angle range, starting a rear camera of the mobile terminal, and acquiring a real-time image of the rear camera and a real-time geographic position of the mobile terminal;
step S3: forming a circular area by taking the real-time geographic position as a circle center and taking a first preset threshold value as a radius, and determining whether the mobile terminal generates a dangerous alarm according to the condition that the circular area contains the dangerous geographic position and the real-time image;
the step S3 includes:
if the dangerous geographic position is detected to be contained in the circular area, the mobile terminal generates a dangerous alarm and acquires a real-time image of the rear camera and the real-time geographic position of the mobile terminal,
if the linear distance between the real-time geographic position of the mobile terminal and the dangerous geographic position in a certain time period is detected to be smaller than or equal to a second preset threshold value, the time period is set as a monitoring time period, if no road pit image is detected in the real-time images acquired by the rear camera in the monitoring time period, a safety mark is added to the dangerous geographic position in the road condition database,
wherein when the first identifier is added to the dangerous geographic position, the mobile terminal generates a first-level dangerous alarm,
when a second identifier is added to the dangerous geographic position, the mobile terminal generates a secondary dangerous alarm;
the step S3 further includes:
if the dangerous geographic position is not contained in the circular area, acquiring a real-time image acquired by a rear camera, if the real-time image contains a road pit image, the current geographic position is the dangerous geographic position, generating a secondary dangerous alarm by the mobile terminal, uploading the dangerous geographic position to a road condition database,
collecting and analyzing a real-time image and a road pit image, and judging whether the range of the road pit is a controllable range according to the real-time image and the road pit image;
the steps of collecting and analyzing the real-time image and the road pit image and judging whether the range of the road pit is a controllable range according to the real-time image and the road pit image comprise the following steps:
acquiring all real-time images acquired by a rear camera in a monitoring time period, acquiring the outline of a road pit image in each real-time image, and respectively calculating a first road pit reference quantity P=Mk/Mz of each real-time image, wherein Mk is the outline area of the road pit image in each real-time image, and Mz is the area of each real-time image;
sequencing each real-time image according to the sequence from the large to the small of the first pit reference quantity, selecting the first real-time image as an evaluation image,
acquiring the outline edge of the road pit image in the evaluation image, and respectively acquiring the distance L1 between the leftmost point of the road pit image and the left edge of the real-time image, the distance L2 between the rightmost point of the road pit image and the right edge of the real-time image, the distance L3 between the uppermost point of the road pit image and the upper edge of the real-time image and the distance L4 between the bottommost point of the road pit image and the lower edge of the real-time image according to the outline edge,
calculating a second pit reference amount m=l1/lc+l2/lc+l3/lk+l4/Lk, where Lc is an upper side edge length of the real-time image, lk is a left side edge length of the real-time image,
if the second pit reference is greater than the second pit reference threshold, the pit range is a controllable range,
otherwise, the range of the road pit is an uncontrollable range.
3. The big data based alarm control method according to claim 2, wherein: the step S3 further includes:
and deleting the dangerous geographic position from the road condition database when the number of the safety identifications added in the dangerous geographic position is greater than or equal to a first number threshold value.
4. The big data based alarm control method according to claim 2, wherein: the first-level danger alarm is vibration and ringing, and the second-level danger alarm is screen extinguishing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011480671.4A CN112489365B (en) | 2020-12-15 | 2020-12-15 | Alarm control system and method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011480671.4A CN112489365B (en) | 2020-12-15 | 2020-12-15 | Alarm control system and method based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112489365A CN112489365A (en) | 2021-03-12 |
| CN112489365B true CN112489365B (en) | 2023-09-29 |
Family
ID=74917254
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011480671.4A Active CN112489365B (en) | 2020-12-15 | 2020-12-15 | Alarm control system and method based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112489365B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113658177A (en) * | 2021-09-10 | 2021-11-16 | 江苏蓝针智能科技有限公司 | Panel counting system based on image recognition |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104067326A (en) * | 2011-11-22 | 2014-09-24 | 因瑞克斯有限公司 | User-assisted identification of location conditions |
| CN106534523A (en) * | 2016-10-28 | 2017-03-22 | 维沃移动通信有限公司 | Mobile terminal danger early-warning method, and mobile terminal |
| CN106790992A (en) * | 2016-11-21 | 2017-05-31 | 广东欧珀移动通信有限公司 | Safety prompt function method and smart mobile phone |
| WO2017185268A1 (en) * | 2016-04-27 | 2017-11-02 | 华为技术有限公司 | Method and apparatus for detecting obstacle on road |
| CN107566659A (en) * | 2017-10-20 | 2018-01-09 | 维沃移动通信有限公司 | User security based reminding method and mobile terminal |
| CN107635060A (en) * | 2017-08-08 | 2018-01-26 | 宇龙计算机通信科技(深圳)有限公司 | A kind of road conditions danger based reminding method, terminal and storage medium |
| CN109166141A (en) * | 2018-08-10 | 2019-01-08 | Oppo广东移动通信有限公司 | Dangerous based reminding method, device, storage medium and mobile terminal |
| CN109584632A (en) * | 2018-12-14 | 2019-04-05 | 深圳壹账通智能科技有限公司 | Road conditions method for early warning, device, computer equipment and storage medium |
| CN110336922A (en) * | 2019-07-16 | 2019-10-15 | 百度在线网络技术（北京）有限公司 | Air navigation aid, device, equipment and storage medium |
| CN110838219A (en) * | 2019-10-14 | 2020-02-25 | 孙嘉和 | Danger prediction alarm method and device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7840342B1 (en) * | 1997-10-22 | 2010-11-23 | Intelligent Technologies International, Inc. | Road physical condition monitoring techniques |
-
2020
- 2020-12-15 CN CN202011480671.4A patent/CN112489365B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104067326A (en) * | 2011-11-22 | 2014-09-24 | 因瑞克斯有限公司 | User-assisted identification of location conditions |
| WO2017185268A1 (en) * | 2016-04-27 | 2017-11-02 | 华为技术有限公司 | Method and apparatus for detecting obstacle on road |
| CN106534523A (en) * | 2016-10-28 | 2017-03-22 | 维沃移动通信有限公司 | Mobile terminal danger early-warning method, and mobile terminal |
| CN106790992A (en) * | 2016-11-21 | 2017-05-31 | 广东欧珀移动通信有限公司 | Safety prompt function method and smart mobile phone |
| CN107635060A (en) * | 2017-08-08 | 2018-01-26 | 宇龙计算机通信科技(深圳)有限公司 | A kind of road conditions danger based reminding method, terminal and storage medium |
| CN107566659A (en) * | 2017-10-20 | 2018-01-09 | 维沃移动通信有限公司 | User security based reminding method and mobile terminal |
| CN109166141A (en) * | 2018-08-10 | 2019-01-08 | Oppo广东移动通信有限公司 | Dangerous based reminding method, device, storage medium and mobile terminal |
| CN109584632A (en) * | 2018-12-14 | 2019-04-05 | 深圳壹账通智能科技有限公司 | Road conditions method for early warning, device, computer equipment and storage medium |
| CN110336922A (en) * | 2019-07-16 | 2019-10-15 | 百度在线网络技术（北京）有限公司 | Air navigation aid, device, equipment and storage medium |
| CN110838219A (en) * | 2019-10-14 | 2020-02-25 | 孙嘉和 | Danger prediction alarm method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112489365A (en) | 2021-03-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110807377B (en) | Target tracking and intrusion detection method, device and storage medium | |
| CN106559695A (en) | Barrage message processing method and device and electronic equipment | |
| JP2009271577A (en) | Device and method for displaying result of similar image search | |
| CN110718067A (en) | Violation behavior warning method and related device | |
| CN112489365B (en) | Alarm control system and method based on big data | |
| CN108540752A (en) | The methods, devices and systems that target object in video monitoring is identified | |
| CN111489342A (en) | Video-based flame detection method and system and readable storage medium | |
| CN107240092A (en) | A kind of image blur detection method and device | |
| CN114782897A (en) | Dangerous behavior detection method and system based on machine vision and deep learning | |
| CN112288975A (en) | Event early warning method and device | |
| CN112784821A (en) | Building site behavior safety detection and identification method and system based on YOLOv5 | |
| CN109963113B (en) | Method and device for monitoring interested target | |
| CN110147752A (en) | Motion detection processing method, device, electronic equipment and storage medium | |
| CN106303041A (en) | A kind of generation method of early warning information and a kind of mobile terminal | |
| CN112597975B (en) | Fire smoke and projectile detection method and system based on video | |
| CN113392706A (en) | Device and method for detecting smoking and using mobile phone behaviors | |
| KR101840042B1 (en) | Multi-Imaginary Fence Line Setting Method and Trespassing Sensing System | |
| CN112104838B (en) | Image distinguishing method, monitoring camera and monitoring camera system thereof | |
| CN104980695A (en) | Coordination of object location data with video data | |
| CN114898279A (en) | Object detection method and device, computer equipment and storage medium | |
| JP5586736B2 (en) | Similar image search result display device and similar image search result display method | |
| CN111753587A (en) | Method and device for detecting falling to ground | |
| CN115408424A (en) | Fishing information processing method, system, electronic device and storage medium | |
| KR102282373B1 (en) | Position Verification System For Confirming Change In MMS Image | |
| CN113010819B (en) | Internet-based intelligent analysis platform for network security situation awareness |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230726 Address after: 430070 Hubei Province, Wuhan city Hongshan District Luoyu Road No. 546 Applicant after: HUBEI CENTRAL CHINA TECHNOLOGY DEVELOPMENT OF ELECTRIC POWER Co.,Ltd. Address before: 210000 No. 360, dongfangcheng, Xuanwu District, Nanjing, Jiangsu Province Applicant before: Qiao Dongzhi |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |