CN113919627A - Intelligent monitoring method applied to hydro-junction engineering - Google Patents
Intelligent monitoring method applied to hydro-junction engineering Download PDFInfo
- Publication number
- CN113919627A CN113919627A CN202111010007.8A CN202111010007A CN113919627A CN 113919627 A CN113919627 A CN 113919627A CN 202111010007 A CN202111010007 A CN 202111010007A CN 113919627 A CN113919627 A CN 113919627A
- Authority
- CN
- China
- Prior art keywords
- current
- hydro
- area
- marked object
- camera
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 95
- 238000000034 method Methods 0.000 title claims abstract description 60
- 238000004458 analytical method Methods 0.000 claims abstract description 24
- 238000009826 distribution Methods 0.000 claims abstract description 23
- 230000008859 change Effects 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000003860 storage Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 206010013647 Drowning Diseases 0.000 description 4
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Image Analysis (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention discloses an intelligent monitoring method applied to a hydro-junction project, which comprises the steps of collecting an object distribution image in a hydro-junction project area, and identifying whether a person appears or disappears in the object distribution image; analyzing the moving track information of the current personnel according to the position information of the personnel in the object distribution image and the image acquisition time node; judging whether the moving track of the current personnel is dangerous according to the moving track analysis result, and selecting whether to carry out early warning prompt on the corresponding personnel according to the judgment result, wherein the invention has the beneficial effects that: through the monitoring image of gathering the hydraulic junction engineering region in to carry out personnel's discernment to the monitoring image, according to the identification result, carry out the analysis to personnel's removal orbit, combine the regional distribution of danger, carry out the early warning suggestion to personnel in the region in advance according to removing the orbit analysis result, make it move away from the danger area, guarantee people's life and property safety.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to an intelligent monitoring method applied to a hydro-junction project.
Background
At present, an effective monitoring method is still lacked for safety monitoring of areas around a reservoir, drowning events occur sometimes, a safety warning board on a bank cannot well prevent the drowning events, and in the prior art, monitoring and early warning are mostly based on the occurred dangerous events, however, when the dangerous events occur late before early warning is carried out, serious consequences can be caused, and early warning for people entering the dangerous areas cannot be carried out.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
In view of the existing problems, the invention provides an intelligent monitoring method applied to a hydro-junction project.
Therefore, the technical problem solved by the invention is as follows: in the prior art, monitoring and early warning are mostly based on a dangerous event which occurs, and a method for early warning entering a dangerous area is lacked.
An intelligent monitoring method applied to a hydro-junction project, the method comprising:
collecting an object distribution image in a hydro-junction engineering area, and identifying whether a person is present or absent in the object distribution image;
analyzing the moving track information of the current personnel according to the position information of the personnel in the object distribution image and the image acquisition time node;
judging whether the moving track of the current personnel is dangerous according to the moving track analysis result, and selecting whether to carry out early warning prompt on the corresponding personnel according to the judgment result.
As an optimal scheme of the intelligent monitoring method applied to the hydro-junction engineering, the method comprises the following steps: gather the object distribution image in the hydro-junction project area, whether have the personnel to appear or not in the discernment object distribution image includes:
the method comprises the steps of monitoring images in an area where the camera is located through the camera, carrying out object movement identification, obtaining monitoring images at regular intervals, extracting object edge profiles in the monitoring images, further numbering and marking the object edge profiles, carrying out comparison analysis on the monitoring images obtained last time after numbering and marking the latest monitoring images, analyzing the position change conditions of the objects in the monitoring images twice, obtaining object numbers with position changes, and further carrying out feature extraction on the objects corresponding to the corresponding numbers.
As an optimal scheme of the intelligent monitoring method applied to the hydro-junction engineering, the method comprises the following steps: the extracting the features of the objects corresponding to the corresponding numbers comprises:
acquiring preset height H of a camera, shooting angle theta of the camera and horizontal distance L of an object from the camera, and calculating the height H of the object with the current position change1，
When H is present1And when the number is larger than or equal to the first preset value, determining the distribution position of the object in the monitored image through the number, extracting the characteristics of the edge contour of the object, and marking the object.
As an optimal scheme of the intelligent monitoring method applied to the hydro-junction engineering, the method comprises the following steps: when the marked object is identified by the monitoring image of any camera in the hydro-junction engineering area, the monitoring image is acquired at regular intervals, the position change analysis of the object is carried out firstly, if the position of the object changes, whether the marked object appears in the monitoring area of the current camera is judged by further comparing the characteristics,
if the feature comparison fails, marking the moving object in the camera area and extracting features; and if the characteristics are compared and passed, analyzing the movement track by combining the identity code of the current camera.
As an optimal scheme of the intelligent monitoring method applied to the hydro-junction engineering, the method comprises the following steps: the movement trajectory analysis includes:
analyzing the moving track of the current marked object according to the received camera identity code, the characteristic information of the marked object and the acquisition time node of the monitoring image, further sequencing the camera identity codes according to the acquisition time node sequence, and determining the moving track of the current marked object according to the position information contained in the identity codes.
As an optimal scheme of the intelligent monitoring method applied to the hydro-junction engineering, the method comprises the following steps: the movement trajectory analysis further includes:
and fitting the moving track points of the marked object to obtain a first straight line, wherein the moving track points are the central points of the camera monitoring areas for collecting the monitored images of the marked object, the central points of the initial position points and any dangerous areas for connecting the marked object are second straight lines, and the angle formed between the first straight lines and the second straight lines is calculated.
As an optimal scheme of the intelligent monitoring method applied to the hydro-junction engineering, the method comprises the following steps: further comprising calculating the angle formed between the first straight line and the second straight line, and further calculating
A value of (b), wherein θ1Is the angle formed between the first straight line and the second straight line, theta0In order to be the angle threshold value,
when the value is smaller than or equal to a second preset value, acquiring the position information of the current marked object, and early warning the current marked object;
and when the value is larger than a second preset value, acquiring accurate position information of the current marked object, analyzing the moving direction of the marked object within a certain time period, and judging the danger track of the marked object according to the moving direction and the position information of the marked object.
As an optimal scheme of the intelligent monitoring method applied to the hydro-junction engineering, the method comprises the following steps: the acquiring of the accurate position information of the current marked object, analyzing the moving direction of the marked object within a certain time period, and judging the danger track of the marked object according to the moving direction and the position information of the marked object comprises:
acquiring camera identity code information corresponding to the position of a current marked object, judging whether the current position is adjacent to a dangerous area or not according to the identity code information, acquiring position change information of the marked object within a certain time period if the current position is adjacent to the dangerous area, determining the moving direction of the marked object, if the moving direction is the dangerous area, taking a central point connecting the real-time position of the marked object and the adjacent dangerous area as a third straight line, taking a tangent line passing the real-time position of the marked object as a fourth straight line at the edge of the adjacent dangerous area, selecting the tangent line with the smallest angle with the third straight line, and calculating the position of the marked object
Judging whether the moving track of the current marked object is a dangerous track or not, wherein theta2Is the angle formed between the third line and the fourth line, theta0Is an angle threshold;
if the area of the current position is not adjacent to the dangerous area, the calculation is also carried out
The value of (1) determines whether the movement trajectory of the current marked object is a dangerous trajectory.
As an optimal scheme of the intelligent monitoring method applied to the hydro-junction engineering, the method comprises the following steps: the passing calculation
The judging whether the moving track of the current marked object is a dangerous track comprises the following steps:
if the value is less than or equal to a third preset value and the area where the current position is located is adjacent to the dangerous area, carrying out danger early warning;
and if the value is less than or equal to the fourth preset value and the area where the current position is located is not adjacent to the dangerous area, carrying out dangerous early warning.
As an optimal scheme of the intelligent monitoring method applied to the hydro-junction engineering, the method comprises the following steps: the third preset value is greater than the fourth preset value.
The invention has the beneficial effects that: through the monitoring image of gathering the hydraulic junction engineering region in to carry out personnel's discernment to the monitoring image, according to the identification result, carry out the analysis to personnel's removal orbit, combine the regional distribution of danger, carry out the early warning suggestion to personnel in the region in advance according to removing the orbit analysis result, make it move away from the danger area, guarantee people's life and property safety.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for an object of ordinary skill in the art, other drawings can be obtained according to these drawings without inventive labor. Wherein:
fig. 1 is a schematic step diagram of an intelligent monitoring method applied to a hydro-junction project according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and it will be apparent to those of skill in the art that the present invention may be practiced without departing from the spirit and scope of the invention, and therefore the invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases for objects of ordinary skill in the art.
Example 1
Referring to fig. 1, the invention provides an intelligent monitoring method applied to a hydro-junction project, comprising the following steps:
collecting an object distribution image in a hydro-junction engineering area, and identifying the personnel movement condition in the object distribution image;
analyzing the moving track information of the current personnel according to the position information of the personnel in the object distribution image and the image acquisition time node;
judging whether the moving track of the current personnel is dangerous according to the moving track analysis result, and selecting whether to carry out early warning prompt on the corresponding personnel according to the judgment result.
The present invention can solve the following problems: at present, an effective monitoring method is still lacked for safety monitoring of the area around the reservoir, drowning events occur sometimes, a safety warning board on the bank cannot well prevent the occurrence of the drowning events, and most of the prior art is based on monitoring and early warning of the occurred dangerous events, however, when the dangerous events occur late before early warning is avoided, serious consequences can be caused, early warning of people entering the dangerous area cannot be achieved, monitoring images in the hydro-junction engineering area are collected, personnel identification is carried out on the monitoring images, movement tracks of the personnel are analyzed according to identification results, the distribution of the dangerous area is combined, early warning prompt is carried out on the personnel in the area in advance according to the analysis results of the movement tracks, the personnel are retreated from the dangerous area, and life and property safety of people is guaranteed.
Arranging and controlling a camera in a peripheral area of the hydro-junction project, identifying personnel in a monitoring picture according to the position of the camera and the monitoring picture shot by the camera, judging whether the current monitoring picture has the existence of the personnel through infrared sensing equipment, monitoring the image in the area through a face identification mode or a camera, carrying out object movement identification, acquiring a monitoring image at regular intervals, extracting the edge outline of an object in the monitoring image, further numbering and marking the edge outline of the object, comparing and analyzing the monitoring image acquired last time after numbering and marking the latest monitoring image, analyzing the position change condition of the object in the monitoring images twice and acquiring the number of the object with position change, further analyzing objects corresponding to the corresponding numbers to judge whether people enter the camera shooting area currently or not, judging whether people enter the camera shooting area currently or not through technical means such as moving speed detection, voice recognition detection and the like, recording the positions of the cameras where the people do not exist in the current shooting picture when the people do not exist in the monitoring picture, extracting the characteristics of the people, such as height, clothes color and body type, wherein the body type can be extracted through the outlines in the picture, calculating the outline areas of the corresponding people, using the outline areas as body type data, combining the shooting pictures of other cameras, judging the shooting pictures where the people do not exist, acquiring the camera information corresponding to the corresponding shooting pictures, confirming the positions of the cameras, and determining the moving tracks of the people according to the shooting time nodes.
The action trend of the personnel is further judged according to the moving track, whether the current personnel enter the dangerous area is judged by combining the distribution of the dangerous area, if the judgment result is that the personnel are about to enter the dangerous area, the personnel are subjected to early warning prompt, the personnel are prevented from not knowing that the personnel are about to step into the dangerous area, and therefore the life and property safety of the personnel is guaranteed.
Example 2
Referring to fig. 1, this embodiment provides an intelligent monitoring method applied to a hydro-junction project, where cameras are arranged and controlled in a peripheral area of the hydro-junction project, and people in a monitoring picture are identified according to a position of the cameras and the monitoring picture shot by the cameras, and whether people exist or not in the current monitoring picture can be judged through an infrared sensing device, but the infrared sensing device can also detect birds and amphibians, if yes, people exist or not in the current shooting area is judged according to a detection result of the infrared sensing, such a result is inaccurate, or a face recognition mode is used, but the cost of the face recognition device is too high, and the face recognition device is not suitable for people recognition and judgment in the hydro-junction project area, and the method performs image monitoring in the area through the cameras, performs object movement recognition, and acquires a monitoring image at regular time intervals, and extracting the edge contour of the object in the monitoring image, further numbering and marking the edge contour of the object, after numbering and marking the latest obtained monitoring image each time, comparing and analyzing the latest obtained monitoring image with the last obtained monitoring image, analyzing the position change situation of the object in the two monitoring images, obtaining the serial number of the object with the changed position, further analyzing and judging whether the object corresponding to the corresponding serial number enters the shooting area of the camera at present or not, judging whether the person enters the shooting area of the camera at present through technical means such as moving speed detection, voice recognition detection and the like, recording the position of the camera currently shooting the picture of the person when the person does not exist in the monitoring picture, and extracting the characteristics of the person, wherein the characteristics can be the height, the clothes color and the body type, and the body type can be extracted through the contour in the picture, calculating the outline area of the corresponding person, taking the outline area as body type data, combining the shot pictures of other cameras, judging the shot pictures of the person, acquiring the camera information corresponding to the corresponding shot pictures, confirming the position of the camera, and determining the moving track of the person according to the shooting time node.
The invention calculates the height H of the object with the current position change by acquiring the preset height H of the camera, the shooting angle theta of the camera and the horizontal distance L between the object and the camera1，
When H is present1When the height value is larger than or equal to a first preset value, determining the distribution position of the object in the monitored image through the number, extracting the characteristics of the edge outline of the object, marking the object, judging that the object is a movable object at present according to the movement condition of the object, judging whether a person enters the shooting area of the current camera instead of an animal or other floating objects by combining the height analysis of the object, selecting a height threshold value, and calculating the height value to be higher than the height valueThe comparison and analysis result of the degree threshold value is used for judging whether people enter the camera currently or not, the method judges whether people exist in the monitoring area of the camera or not through object movement condition analysis and object height analysis, if the height H of the camera is 3m, the shooting angle theta of the camera is 60 degrees, the horizontal distance L of the object from the camera is 3m, and then the height H of the object is obtained through calculation11.27, setting the first preset value to be 1.04m, taking the average height of the children aged 6 as the first preset value, when the position of the current object is changed and the height of the object is greater than or equal to the first preset value through judgment, judging whether a person is present or absent in the monitoring area of the current camera, further extracting the characteristics of the person, only the coat color of the person can be extracted, or the lower coat color of the person can be extracted at the same time to be used as the characteristic of the person, or the outline area in the monitoring image corresponding to the person can be extracted again to be used as the characteristic of the person, when monitoring is carried out by other cameras in the following, whether an object with changed position appears in the current monitoring area is judged, if so, then the object is subjected to feature extraction, so that the newly extracted features are compared with the feature information of the marked object.
When the marked object is identified by the monitoring image of any camera in the hydro-junction engineering area, the monitoring image is acquired at regular intervals, the position change analysis of the object is carried out firstly, if the position of the object changes, whether the marked object appears in the monitoring area of the current camera is judged by further comparing the characteristics,
if the feature comparison fails, marking the moving object in the camera area and extracting features; and if the characteristics are compared and passed, analyzing the movement track by combining the identity code of the current camera.
The analysis of the movement track comprises the following steps: analyzing the moving track of the current marked object according to the received camera identity code, the characteristic information of the marked object and the acquisition time node of the monitoring image, further sequencing the camera identity codes according to the acquisition time node sequence, and determining the moving track of the current marked object according to the position information contained in the identity codes.
The analysis of the movement trajectory further comprises: the method comprises the steps of fitting moving track points of a marked object to obtain a first straight line, connecting the initial position point of the marked object and the central point of any dangerous area to form a second straight line by the aid of the central point of a camera monitoring area for collecting a monitored image of the marked object, and calculating an angle formed between the first straight line and the second straight line.
Further comprises calculating the angle formed between the first straight line and the second straight line, and further calculating
A value of (b), wherein θ1Is the angle formed between the first line and the second line, theta0Is an angle threshold value, if theta1＝60°，θ030 degrees, then
Assuming that the second preset value is 0.4,
if the value of (a) is greater than 0.4, no warning is given to the person, if theta is greater than1＝40°，θ030 degrees, then
The value of (A) is less than 0.4, so that the personnel is warned.
When the value is smaller than or equal to a second preset value, acquiring the position information of the current marked object, and giving an early warning to the current marked object, when the value is smaller, setting a threshold value which indicates that the possibility of the personnel entering the dangerous area is higher, and judging the probability of the current personnel entering the dangerous area through calculation, thereby realizing early warning;
and when the value is larger than the second preset value, acquiring accurate position information of the current marked object, analyzing the moving direction of the marked object within a certain time period, and judging the danger track of the marked object according to the moving direction and the position information of the marked object.
Acquiring accurate position information of a current marked object, analyzing the moving direction of the marked object within a certain time period, and judging the danger track of the marked object according to the moving direction and the position information of the marked object, wherein the step of judging the danger track comprises the following steps:
acquiring camera identity code information corresponding to the position of a current marked object, judging whether the current position is adjacent to a dangerous area or not according to the identity code information, if the current position is adjacent to the dangerous area, acquiring position change information of the marked object within a certain time period, determining the moving direction of the marked object, if the moving direction is the dangerous area, connecting the real-time position of the marked object with the central point of the adjacent dangerous area to form a third straight line, making the tangent line of the edge of the adjacent dangerous area passing through the real-time position of the marked object to form a fourth straight line, selecting the tangent line with the smallest angle with the third straight line, and calculating the position of the marked object to form the third straight line and the fourth straight line
Judging whether the moving track of the current marked object is a dangerous track or not, wherein theta2Is the angle formed between the third line and the fourth line, theta0Is an angle threshold;
if the area of the current position is not adjacent to the dangerous area, the calculation is also carried out
The value of (1) determines whether the movement trajectory of the current marked object is a dangerous trajectory.
By calculation of
The judging whether the moving track of the current marked object is a dangerous track comprises the following steps: if the value is less than or equal to a third preset value and the area where the current position is located is adjacent to the dangerous area, carrying out danger early warning;
and if the value is less than or equal to a fourth preset value and the area where the current position is located is not adjacent to the dangerous area, carrying out dangerous early warning, wherein the third preset value is greater than the fourth preset value.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein. A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
As used in this application, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those of ordinary skill in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. An intelligent monitoring method applied to a hydro-junction project is characterized in that: the method comprises the following steps:
collecting an object distribution image in a hydro-junction engineering area, and identifying whether a person is present or absent in the object distribution image;
analyzing the moving track information of the current personnel according to the position information of the personnel in the object distribution image and the image acquisition time node;
judging whether the moving track of the current personnel is dangerous according to the moving track analysis result, and selecting whether to carry out early warning prompt on the corresponding personnel according to the judgment result.
2. The intelligent monitoring method applied to the hydro-junction project according to claim 1, wherein: gather the object distribution image in the hydro-junction project area, whether have the personnel to appear or not in the discernment object distribution image includes:
the method comprises the steps of monitoring images in an area where the camera is located through the camera, carrying out object movement identification, obtaining monitoring images at regular intervals, extracting object edge profiles in the monitoring images, further numbering and marking the object edge profiles, carrying out comparison analysis on the monitoring images obtained last time after numbering and marking the latest monitoring images, analyzing the position change conditions of the objects in the monitoring images twice, obtaining object numbers with position changes, and further carrying out feature extraction on the objects corresponding to the corresponding numbers.
3. The intelligent monitoring method applied to the hydro-junction project according to claim 2, wherein: the extracting the features of the objects corresponding to the corresponding numbers comprises:
acquiring preset height H of a camera, shooting angle theta of the camera and horizontal distance L of an object from the camera, and calculating the height H of the object with the current position change1，
When H is present1And when the number is larger than or equal to the first preset value, determining the distribution position of the object in the monitored image through the number, extracting the characteristics of the edge contour of the object, and marking the object.
4. The intelligent monitoring method applied to the hydro-junction project according to claim 3, wherein: when the marked object is identified by the monitoring image of any camera in the hydro-junction engineering area, the monitoring image is acquired at regular intervals, the position change analysis of the object is carried out firstly, if the position of the object changes, whether the marked object appears in the monitoring area of the current camera is judged by further comparing the characteristics,
if the feature comparison fails, marking the moving object in the camera area and extracting features; and if the characteristics are compared and passed, analyzing the movement track by combining the identity code of the current camera.
5. The intelligent monitoring method applied to the hydro-junction project according to claim 4, wherein: the movement trajectory analysis includes:
analyzing the moving track of the current marked object according to the received camera identity code, the characteristic information of the marked object and the acquisition time node of the monitoring image, further sequencing the camera identity codes according to the acquisition time node sequence, and determining the moving track of the current marked object according to the position information contained in the identity codes.
6. The intelligent monitoring method applied to the hydro-junction project according to claim 5, wherein: the movement trajectory analysis further includes:
and fitting the moving track points of the marked object to obtain a first straight line, wherein the moving track points are the central points of the camera monitoring areas for collecting the monitored images of the marked object, the central points of the initial position points and any dangerous areas for connecting the marked object are second straight lines, and the angle formed between the first straight lines and the second straight lines is calculated.
7. The intelligent monitoring method applied to the hydro-junction project according to claim 6, wherein: further comprising calculating the angle formed between the first straight line and the second straight line, and further calculating
A value of (b), wherein θ1Is the angle formed between the first straight line and the second straight line, theta0If the angle is the angle threshold value, when the value is smaller than or equal to a second preset value, acquiring the position information of the current marked object, and early warning the current marked object;
and when the value is larger than a second preset value, acquiring accurate position information of the current marked object, analyzing the moving direction of the marked object within a certain time period, and judging the danger track of the marked object according to the moving direction and the position information of the marked object.
8. The intelligent monitoring method applied to the hydro-junction project according to claim 7, wherein: the acquiring of the accurate position information of the current marked object, analyzing the moving direction of the marked object within a certain time period, and judging the danger track of the marked object according to the moving direction and the position information of the marked object comprises:
obtaining the position of the current marked objectThe method comprises the steps of setting corresponding camera identity code information, judging whether a current position is adjacent to a dangerous area or not according to the identity code information, if the current position is adjacent to the dangerous area, obtaining position change information of a marked object within a certain time period, determining the moving direction of the marked object, if the moving direction is the dangerous area, connecting the real-time position of the marked object and the central point of the adjacent dangerous area to form a third straight line, drawing a tangent line of the edge of the adjacent dangerous area through the real-time position of the marked object to form a fourth straight line, selecting the tangent line with the smallest angle with the third straight line, and calculating
Judging whether the moving track of the current marked object is a dangerous track or not, wherein theta2Is the angle formed between the third line and the fourth line, theta0Is an angle threshold;
if the area of the current position is not adjacent to the dangerous area, the calculation is also carried out
The value of (1) determines whether the movement trajectory of the current marked object is a dangerous trajectory.
9. The intelligent monitoring method applied to the hydro-junction project according to claim 8, wherein: the passing calculation
The judging whether the moving track of the current marked object is a dangerous track comprises the following steps:
if the value is less than or equal to a third preset value and the area where the current position is located is adjacent to the dangerous area, carrying out danger early warning;
and if the value is less than or equal to the fourth preset value and the area where the current position is located is not adjacent to the dangerous area, carrying out dangerous early warning.
10. The intelligent monitoring method applied to the hydro-junction project according to claim 9, wherein: the third preset value is greater than the fourth preset value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111010007.8A CN113919627A (en) | 2021-08-31 | 2021-08-31 | Intelligent monitoring method applied to hydro-junction engineering |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111010007.8A CN113919627A (en) | 2021-08-31 | 2021-08-31 | Intelligent monitoring method applied to hydro-junction engineering |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113919627A true CN113919627A (en) | 2022-01-11 |
Family
ID=79233541
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111010007.8A Pending CN113919627A (en) | 2021-08-31 | 2021-08-31 | Intelligent monitoring method applied to hydro-junction engineering |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113919627A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115013386A (en) * | 2022-05-30 | 2022-09-06 | 燕山大学 | Hydraulic system protection device control method based on visual identification and control device thereof |
| CN115131935A (en) * | 2022-08-30 | 2022-09-30 | 山东千颐科技有限公司 | Alarm system for preventing entrance into dangerous area |
-
2021
- 2021-08-31 CN CN202111010007.8A patent/CN113919627A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115013386A (en) * | 2022-05-30 | 2022-09-06 | 燕山大学 | Hydraulic system protection device control method based on visual identification and control device thereof |
| CN115013386B (en) * | 2022-05-30 | 2023-06-23 | 燕山大学 | Hydraulic system protection device control method and control device based on visual recognition |
| CN115131935A (en) * | 2022-08-30 | 2022-09-30 | 山东千颐科技有限公司 | Alarm system for preventing entrance into dangerous area |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108717696B (en) | Yellow spot image detection method and equipment | |
| US10212397B2 (en) | Abandoned object detection apparatus and method and system | |
| CN113919627A (en) | Intelligent monitoring method applied to hydro-junction engineering | |
| JP6347815B2 (en) | Method, apparatus and device for detecting lane boundaries | |
| EP3525132A1 (en) | System and method for lane detection | |
| EP1862972B1 (en) | Vehicle-use image processing system, vehicle-use image processing method, vehicle-use image processing program, vehicle, and method of setting-up vehicle-use image processing system | |
| JP4962581B2 (en) | Lane marking detector | |
| WO2016104395A1 (en) | Crowd monitoring system | |
| US20120070088A1 (en) | Picture image processor, method for processing picture image and method for processing picture image | |
| CN104978751B (en) | Detection method of crossing the border based on camera angle | |
| JP2006329776A (en) | Car position detection method, vehicle speed detection method, and device | |
| CN106446807A (en) | Well lid theft detection method | |
| CN111524350B (en) | Method, system, terminal device and medium for detecting abnormal driving condition of vehicle and road cooperation | |
| CN111583660B (en) | Vehicle steering behavior detection method, device, equipment and storage medium | |
| CN111126257B (en) | Behavior detection method and device | |
| CN115660924A (en) | Real-time high-precision early warning method for distribution network operation based on AI vision | |
| CN112733598A (en) | Vehicle law violation determination method and device, computer equipment and storage medium | |
| CN116563776A (en) | Method, system, medium and equipment for warning illegal behaviors based on artificial intelligence | |
| CN111489380A (en) | Target object track analysis method | |
| CN111183454B (en) | Recognition device, recognition method, and recognition program | |
| CN111383248A (en) | Method and device for judging red light running of pedestrian and electronic equipment | |
| Lee et al. | A cumulative distribution function of edge direction for road-lane detection | |
| CN112347988A (en) | Mask recognition model training method and device, computer equipment and readable storage medium | |
| CN113065462A (en) | Monitoring method, device, equipment and storage medium for power grid overhead line | |
| CN116778673A (en) | Water area safety monitoring method, system, terminal and storage medium |
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 |