CN117319766A - High-definition night vision system based on infrared thermal imaging technology - Google Patents
High-definition night vision system based on infrared thermal imaging technology Download PDFInfo
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- 238000001931 thermography Methods 0.000 title claims abstract description 134
- 230000004297 night vision Effects 0.000 title claims abstract description 19
- 238000005516 engineering process Methods 0.000 title claims abstract description 18
- 238000012544 monitoring process Methods 0.000 claims abstract description 286
- 230000002159 abnormal effect Effects 0.000 claims abstract description 135
- 238000012795 verification Methods 0.000 claims abstract description 60
- 238000012216 screening Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 6
- 230000001483 mobilizing effect Effects 0.000 claims description 6
- 230000001105 regulatory effect Effects 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 claims description 5
- 239000003086 colorant Substances 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 14
- 239000000463 material Substances 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010891 electric arc Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
- G01J5/485—Temperature profile
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/20—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from infrared radiation only
- H04N23/23—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from infrared radiation only from thermal infrared radiation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
Abstract
The invention belongs to the technical field of high-definition night vision, and relates to a high-definition night vision system based on an infrared thermal imaging technology. The invention is based on the built camera layout module, the area dividing module, the temperature monitoring module, the monitoring area analyzing module, the potential leakage area analyzing module, the camera control module, the abnormal secondary analyzing module, the abnormal verification module, the information base and the like, screens and obtains all abnormal monitoring residual areas and all abnormal potential leakage areas, is beneficial to preventing the occurrence of fire, leakage and other safety accidents in a designated monitoring space, is beneficial to protecting the quality and safety of goods, is beneficial to reducing the personal safety risk of an administrator, is beneficial to reducing the economic loss, carries out secondary monitoring verification on the first abnormal residual monitoring areas and all abnormal potential leakage areas, fully considers the abnormal false alarm caused by the self fault of the infrared thermal imaging camera, and effectively avoids the error.
Description
Technical Field
The invention belongs to the technical field of high-definition night vision, and relates to a high-definition night vision system based on an infrared thermal imaging technology.
Background
The warehouse is used as an important place for storing goods, if the monitoring force is insufficient, the loss of the stored goods can be caused, and the personal safety of staff can be influenced. The infrared thermal imaging camera is used as one of the important means for monitoring warehouse, and its principle is to use infrared thermal imaging technology to measure the infrared radiation of target object, and to convert the heat distribution data of target object into video image via photoelectric conversion, signal processing and other means. And furthermore, the infrared thermal imaging cameras are arranged in the warehouse, so that potential risks such as fire, water leakage, electric leakage and the like in the warehouse can be effectively and timely controlled, and timely maintenance and measures are facilitated.
The existing infrared thermal imaging camera warehouse monitoring and controlling system monitors a target warehouse to obtain the temperature of each area, analyzes the temperature of each area, and performs early warning if the temperature exceeds a set threshold value, thereby being beneficial to timely finding out abnormal conditions.
But the existing infrared thermal imaging camera warehouse monitoring management and control system ignores the abnormal false alarm condition caused by the possible self-failure of the infrared thermal imaging camera, the infrared camera can fail under the interference of strong light, and then the monitoring result is error, so that the waste of manpower and material resources is caused to a certain extent.
The existing infrared thermal imaging camera warehouse monitoring and controlling system omits specific analysis and monitoring on warehouse leakage, and the leakage can cause short circuit and arc discharge of an electric circuit, so that fire disaster occurs, and serious damage can be caused to goods and facilities in the warehouse, and personal safety of an administrator can be endangered.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, a high-definition night vision system based on the infrared thermal imaging technology is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a high-definition night vision system based on an infrared thermal imaging technology, which comprises: and the camera layout module is used for laying each infrared thermal imaging camera in the appointed monitoring space according to a preset layout principle.
The area dividing module is used for dividing the socket areas and the electrical equipment areas in the appointed monitoring space into the residual monitoring areas of the first type and the residual monitoring areas of the second type in the appointed monitoring space according to the set dividing principle, and recording the residual monitoring areas of the first type and the residual monitoring areas of the second type, which are collectively called as the residual monitoring areas.
And the temperature monitoring module is used for acquiring the temperature curve graphs of each residual monitoring area and each potential leakage area.
And the monitoring area analysis module is used for analyzing fire risk coefficients of the residual monitoring areas according to the temperature graphs of the residual monitoring areas so as to obtain the abnormal residual monitoring areas.
And the potential leakage area analysis module is used for analyzing leakage risk coefficients of all potential leakage areas according to the temperature curve graph of all the potential leakage areas so as to obtain all the abnormal potential leakage areas.
And the camera control module is used for mobilizing each infrared thermal imaging camera to secondarily acquire verification temperature graphs of the first type of various abnormal residual monitoring areas and various abnormal potential leakage areas.
The abnormal secondary analysis module is used for analyzing the verification fire risk coefficient of the first type of abnormal residual monitoring areas and the verification leakage risk coefficient of the abnormal potential leakage areas.
The abnormality verification module is used for analyzing the fire risk coefficient coincidence degree of the first type of the abnormal residual monitoring areas and the leakage risk coefficient coincidence degree of the abnormal potential leakage areas.
The information base is used for storing the standard temperature numerical value color chart, storing the reference temperature value of the potential leakage area, storing the temperature value of each socket and each electrical equipment in normal operation, storing the monitoring range of each infrared thermal imaging camera and storing the distance between each area and each infrared thermal imaging camera.
Preferably, the specific content of the preset layout principle is as follows: and selecting the position of the roof edge line of the appointed monitoring space as the layout position of the infrared thermal imaging cameras, equally dividing the position of the roof edge line of the appointed monitoring space by taking the field of view range of the infrared thermal imaging cameras in the horizontal direction as a fixed interval, and taking each dividing point as the layout point of each infrared thermal imaging camera.
Preferably, the specific content of the setting division principle is as follows: and taking a central point between two adjacent infrared thermal imaging camera arrangement points as a starting point, making a vertical line perpendicular to the ground on the wall surface, and taking the vertical line as an edge to make a plane perpendicular to the wall surface of the appointed monitoring space, so that each plane is obtained to divide the residual area in the appointed monitoring space into each residual monitoring area.
If a certain residual monitoring area can only be monitored by one infrared thermal imaging camera, the residual monitoring area is marked as a first type residual monitoring area, and if a certain residual monitoring area can be monitored by a plurality of infrared thermal imaging cameras at the same time, the residual monitoring area is marked as a second type residual monitoring area, so that each residual monitoring area of the first type and each residual monitoring area of the second type are obtained.
Preferably, the specific acquisition mode of the temperature curve graph is as follows: and acquiring temperature distribution images of the first type of residual monitoring areas by using the distributed infrared thermal imaging cameras, comparing the temperature distribution images with a standard temperature numerical value color comparison card which is called from an information base to obtain temperature values corresponding to colors in the temperature distribution images of the first type of residual monitoring areas, and drawing a temperature graph of each residual monitoring area by taking the temperature values of each residual monitoring area of the first type as an ordinate and the numbers corresponding to each color as an abscissa.
And the temperature curves of the residual monitoring areas and the temperature curves of the potential leakage areas in the second class can be obtained by the same method.
And (3) carrying out coincidence comparison on the temperature graphs of the second class of residual monitoring areas according to a preset principle to obtain a comprehensive temperature graph of the second class of residual monitoring areas, and recording the comprehensive temperature graph as the temperature graph of the second class of residual monitoring areas.
Preferably, the specific analysis mode of the fire risk coefficient of each remaining monitoring area is as follows: extracting each temperature value of each residual monitoring area, and analyzing fire risk coefficient of each residual monitoring areaWherein->The p-th temperature value for the j-th remaining monitoring area,>for the set standard temperature values of the remaining monitoring areas, j=1, 2,..a, j is the number of each remaining monitoring area, p=1, 2,..q, p is the number of each temperature value, and e is a natural constant.
And respectively comparing the fire risk coefficient of each residual monitoring area with a set fire risk coefficient threshold value to obtain each residual monitoring area corresponding to the fire risk coefficient larger than the set fire risk coefficient threshold value, and marking the residual monitoring areas as abnormal residual monitoring areas.
Preferably, the specific analysis mode of the leakage risk coefficient of each potential leakage area is as follows: extracting each temperature value of each potential leakage area, and analyzing the leakage risk coefficient of each potential leakage areaWherein->The kth temperature value for the (h) th potential leakage region,/th potential leakage region>Reference temperature values for potential leakage areas extracted from a libraryH=1, 2,) c, h is the number of each potential leakage area, k=1, 2,) g, k is the number of each temperature value.
And respectively differencing the leakage risk coefficient of each potential leakage area with a set leakage risk coefficient threshold value to obtain a difference value between the leakage risk coefficient of each potential leakage area and the set leakage risk coefficient threshold value, screening the difference value to obtain each potential leakage area with the difference value larger than 0, and marking the potential leakage area as each abnormal potential leakage area.
Preferably, the specific acquisition mode of the verification temperature graphs of the first type of the abnormal residual monitoring areas and the abnormal potential leakage areas is as follows: and extracting first type of abnormal residual monitoring areas from the abnormal residual monitoring areas, and respectively matching the first type of abnormal residual monitoring areas with the monitoring ranges of the infrared thermal imaging cameras extracted from the information base to obtain the infrared thermal imaging cameras to which the first type of abnormal residual monitoring areas belong.
And the infrared thermal imaging cameras on the left side and the right side of the infrared thermal imaging cameras, which are adjacent to the infrared thermal imaging cameras, of the first type of abnormal residual monitoring areas are mobilized to carry out secondary monitoring on the first type of abnormal residual monitoring areas, verification temperature distribution images of the first type of abnormal residual monitoring areas are respectively obtained from the infrared thermal imaging cameras on the left side and the right side, and the verification temperature distribution images are respectively recorded as left verification temperature distribution images and right verification temperature distribution images of the first type of abnormal residual monitoring areas.
And analyzing to obtain left and right verification temperature graphs of the first type of various residual monitoring areas, overlapping and comparing the left and right verification temperature graphs of the various residual monitoring areas according to a preset principle to obtain the verification temperature graphs of the first type of various residual monitoring areas, and similarly obtaining the verification temperature graphs of various potential leakage areas.
Preferably, the specific operation mode of the mobilizing infrared thermal imaging camera to perform secondary monitoring on the first type of various residual monitoring areas and various potential leakage areas is as follows: and extracting infrared thermal imaging cameras adjacent to the first type of abnormal residual monitoring areas on the left and right sides of the infrared thermal imaging cameras, and respectively marking the infrared thermal imaging cameras as left and right infrared thermal imaging cameras corresponding to the first type of abnormal residual monitoring areas.
The distance between each region and each infrared thermal imaging camera is called from the information base, the distance between each first type of different residual monitoring region and the corresponding left and right infrared thermal imaging cameras is obtained through screening, the distances are respectively matched with the corresponding distances of each shooting mode of the set infrared thermal imaging cameras, the shooting modes of each left and right infrared thermal imaging cameras are obtained, the shooting modes are recorded as target shooting modes of each left and right infrared thermal imaging cameras, the current shooting modes of each left and right infrared thermal imaging cameras are automatically regulated and controlled to be target shooting modes, and the infrared thermal imaging cameras can be regulated and controlled to carry out secondary monitoring on each abnormal potential electric leakage region.
Preferably, the specific acquisition modes of the fire risk coefficient verification and the leakage risk coefficient verification are as follows: analyzing and obtaining the verification fire risk coefficient of each abnormal residual monitoring area of the first class and the verification leakage risk coefficient of each abnormal potential leakage area according to the verification temperature graphs of each abnormal residual monitoring area and each abnormal potential leakage area of the first class, and respectively marking asWhere j ' =1 ',2 '.
Preferably, the specific analysis modes of the fire risk coefficient coincidence degree and the leakage risk coefficient coincidence degree are as follows: extracting fire risk coefficients of each residual monitoring area, screening to obtain fire risk coefficient degree of each first type of different residual monitoring areas, and marking the fire risk coefficient degree asAnalyzing the fire risk coefficient coincidence degree of the first type of various residual monitoring areasThe leakage risk coefficient coincidence degree of various potential leakage areas can be obtained by the same way>
If the fire risk coefficient coincidence degree of a certain abnormal residual monitoring area of the first class is 1, the abnormal residual monitoring area of the first class is determined to be a fire risk area, the number of the abnormal residual monitoring area of the first class is further obtained, the numbers of different potential leakage areas can be obtained in the same way, and feedback is carried out.
Otherwise, the first type of abnormal residual monitoring area is misjudged as a fire risk area, the infrared thermal imaging cameras of the first type of abnormal residual monitoring area are faulty, the infrared thermal imaging cameras of the abnormal potential leakage areas are faulty, the serial numbers of the infrared thermal imaging cameras with the faults are obtained, and feedback is carried out.
Compared with the prior art, the invention has the following beneficial effects: 1. based on the constructed temperature monitoring module, the temperature curve graphs of each residual monitoring area and each potential leakage area in the appointed monitoring space are obtained, and data support is provided for subsequent analysis of fire risk coefficients of each residual monitoring area and leakage risk coefficients of each potential leakage area.
2. The invention is based on the constructed monitoring area analysis module and the potential leakage area analysis module, analyzes and obtains various abnormal residual monitoring areas and various abnormal potential leakage areas in the appointed monitoring space, is beneficial to preventing the occurrence of fire, leakage and other safety accidents in the appointed monitoring space, is beneficial to protecting the quality and safety of goods, is beneficial to reducing the personal safety risk of an administrator, and is beneficial to reducing economic loss.
3. According to the invention, through the built camera control module, the abnormal secondary analysis module and the abnormal verification module, secondary monitoring is carried out on the first type of abnormal residual monitoring areas and the abnormal potential leakage areas, so that the authenticity and accuracy of the abnormality are determined, the abnormal false alarm condition caused by the self fault of the infrared thermal imaging camera is fully considered, the monitoring error is effectively avoided, and the manpower and material resources are saved to a certain extent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a system module connection according to the present invention.
Fig. 2 is a schematic layout diagram of an infrared thermal imaging camera according to the present invention.
Description of the drawings: 1. designating a monitoring space; 2. an infrared thermal imaging camera; 3. a field of view in a horizontal direction of the infrared thermal imaging camera; 4. the distance of each infrared thermal imaging camera; 5. the remaining monitoring space within the monitoring space is designated.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a high-definition night vision system based on infrared thermal imaging technology, and specific modules are distributed as follows: the device comprises a camera layout module, a region division module, a temperature monitoring module, a monitoring region analysis module, a potential leakage region analysis module, a camera control module, an abnormal secondary analysis module, an abnormal verification module and an information base. The connection mode between the modules is as follows: the camera layout module is connected with the area dividing module, the temperature monitoring module is connected with the monitoring area analysis module and the potential leakage area analysis module respectively, the camera control module is connected with the monitoring area analysis module and the potential leakage area analysis module respectively, the abnormal secondary analysis module is connected with the abnormal verification module, and the information base is connected with the temperature monitoring module, the monitoring area analysis module, the potential leakage area analysis module and the camera control module respectively.
And the camera layout module is used for laying each infrared thermal imaging camera in the appointed monitoring space according to a preset layout principle.
As a preferred example, the preset layout principle specifically includes: and selecting the position of the roof edge line of the appointed monitoring space as the layout position of the infrared thermal imaging cameras, equally dividing the position of the roof edge line of the appointed monitoring space by taking the field of view range of the infrared thermal imaging cameras in the horizontal direction as a fixed interval, and taking each dividing point as the layout point of each infrared thermal imaging camera, wherein the layout point is shown in the figure 2.
It should be further noted that, the monitoring field of view of each infrared thermal imaging camera includes a field of view in a horizontal direction and a field of view in a vertical direction, and as a specific example, the field of view of the infrared thermal imaging cameras that are disposed is 75 ° ×55 °, which indicates that the infrared thermal imaging cameras can capture a field of view of 75 degrees in a horizontal direction, and the field of view of the infrared thermal imaging cameras that are disposed is 55 degrees in a vertical direction, that is, each infrared thermal imaging camera that is disposed uses its position as a center, and can scan a range of 75 degrees in a horizontal direction, and a range of 55 degrees in a vertical direction.
The area dividing module is used for dividing the socket areas and the electrical equipment areas in the appointed monitoring space into the residual monitoring areas of the first type and the residual monitoring areas of the second type in the appointed monitoring space according to the set dividing principle, and recording the residual monitoring areas of the first type and the residual monitoring areas of the second type, which are collectively called as the residual monitoring areas.
It should be further noted that, the socket area is a hemispherical area that uses the geometric center of the socket as a center point, uses half of the longest diagonal length of the socket as a radius, and uses the socket plane as a hemispherical plane, and expands outwards.
As a preferred example, the setting division principle specifically includes: and taking a central point between two adjacent infrared thermal imaging camera arrangement points as a starting point, making a vertical line perpendicular to the ground on the wall surface, and taking the vertical line as an edge to make a plane perpendicular to the wall surface of the appointed monitoring space, so that each plane is obtained to divide the residual area in the appointed monitoring space into each residual monitoring area.
If a certain residual monitoring area can only be monitored by one infrared thermal imaging camera, the residual monitoring area is marked as a first type residual monitoring area, and if a certain residual monitoring area can be monitored by a plurality of infrared thermal imaging cameras at the same time, the residual monitoring area is marked as a second type residual monitoring area, so that each residual monitoring area of the first type and each residual monitoring area of the second type are obtained, and the method is shown in fig. 2.
And the temperature monitoring module is used for acquiring the temperature curve graphs of each residual monitoring area and each potential leakage area.
As a preferred example, the specific acquisition manner of the temperature graph is: and acquiring temperature distribution images of the first type of residual monitoring areas by using the distributed infrared thermal imaging cameras, comparing the temperature distribution images with a standard temperature numerical value color comparison card which is called from an information base to obtain temperature values corresponding to colors in the temperature distribution images of the first type of residual monitoring areas, and drawing a temperature graph of each residual monitoring area by taking the temperature values of each residual monitoring area of the first type as an ordinate and the numbers corresponding to each color as an abscissa.
And the temperature curves of the residual monitoring areas and the temperature curves of the potential leakage areas in the second class can be obtained by the same method.
And (3) carrying out coincidence comparison on the temperature graphs of the second class of residual monitoring areas according to a preset principle to obtain a comprehensive temperature graph of the second class of residual monitoring areas, and recording the comprehensive temperature graph as the temperature graph of the second class of residual monitoring areas.
It should be further noted that the preset principle specifically includes: and placing the temperature graphs of the second class of residual monitoring areas in the same coordinate system, reserving the coincident coordinate points, carrying out average value processing on the temperature values corresponding to the same color of the non-coincident coordinate points, obtaining the comprehensive temperature values corresponding to the same color as a new ordinate, obtaining the central coordinate points, and redrawing to obtain the comprehensive temperature graphs of the second class of residual monitoring areas.
Based on the constructed temperature monitoring module, the temperature curve graphs of each residual monitoring area and each potential leakage area in the appointed monitoring space are obtained, and data support is provided for subsequent analysis of fire risk coefficients of each residual monitoring area and leakage risk coefficients of each potential leakage area.
And the monitoring area analysis module is used for analyzing fire risk coefficients of the residual monitoring areas according to the temperature graphs of the residual monitoring areas so as to obtain the abnormal residual monitoring areas.
And the potential leakage area analysis module is used for analyzing leakage risk coefficients of all potential leakage areas according to the temperature curve graph of all the potential leakage areas so as to obtain all the abnormal potential leakage areas.
As a preferred example, the specific analysis manner of the fire risk coefficient of each remaining monitoring area is as follows: extracting each temperature value of each residual monitoring area, and analyzing fire risk coefficient of each residual monitoring areaWherein->The p-th temperature value for the j-th remaining monitoring area,>for the set standard temperature values of the remaining monitoring areas, j=1, 2,..a, j is the number of each remaining monitoring area, p=1, 2,..q, p is the number of each temperature value, and e is a natural constant.
It should be further noted that, the setting mode of the standard temperature value of the remaining monitoring area is as follows: the warehouse manager sets the storage temperature of the warehouse storage object.
And respectively comparing the fire risk coefficient of each residual monitoring area with a set fire risk coefficient threshold value to obtain each residual monitoring area corresponding to the fire risk coefficient larger than the set fire risk coefficient threshold value, and marking the residual monitoring areas as abnormal residual monitoring areas.
As a preferred example, the specific analysis manner of the leakage risk coefficient of each potential leakage area is as follows: extracting each temperature value of each potential leakage area, and analyzing the leakage risk coefficient of each potential leakage areaWherein->The kth temperature value for the (h) th potential leakage region,/th potential leakage region>For reference temperature values of potential leakage areas extracted from the information base, h=1, 2.
It should be further described that the specific acquisition mode of the reference temperature value of the potential leakage area is as follows: the potential leakage area comprises a socket area and an electrical equipment area, temperature values of each socket and each electrical equipment in normal operation are extracted from the information base, and evaluation temperature values of the socket area and the electrical equipment area in normal operation are calculatedWherein T' f For the temperature value of the f socket in normal operation, T x For the temperature value of the xth electrical device in normal operation, f=1, 2, & gt, b, f is the number of each socket, b is the number of sockets, x=1, 2, & gt, y, x is the number of each electrical device, y is the number of electrical devices, and is taken as the reference temperature value of the potential leakage area.
And respectively differencing the leakage risk coefficient of each potential leakage area with a set leakage risk coefficient threshold value to obtain a difference value between the leakage risk coefficient of each potential leakage area and the set leakage risk coefficient threshold value, screening the difference value to obtain each potential leakage area with the difference value larger than 0, and marking the potential leakage area as each abnormal potential leakage area.
It should be further noted that, if the potential leakage areas leak electricity, abnormal heat is generated in each potential leakage area due to the leakage electricity, so that the temperature of each potential leakage area is increased, and in normal circumstances, the temperature of each potential leakage area should be relatively stable.
The invention is based on the constructed monitoring area analysis module and the potential leakage area analysis module, analyzes and obtains various abnormal residual monitoring areas and various abnormal potential leakage areas in the appointed monitoring space, is beneficial to preventing the occurrence of fire, leakage and other safety accidents in the appointed monitoring space, is beneficial to protecting the quality and safety of goods, is beneficial to reducing the personal safety risk of an administrator, and is beneficial to reducing economic loss.
And the camera control module is used for mobilizing each infrared thermal imaging camera to secondarily acquire verification temperature graphs of the first type of various abnormal residual monitoring areas and various abnormal potential leakage areas.
The abnormal secondary analysis module is used for analyzing the verification fire risk coefficient of the first type of abnormal residual monitoring areas and the verification leakage risk coefficient of the abnormal potential leakage areas.
The abnormality verification module is used for analyzing the fire risk coefficient coincidence degree of the first type of the abnormal residual monitoring areas and the leakage risk coefficient coincidence degree of the abnormal potential leakage areas.
As a preferred example, the specific acquisition mode of the verification temperature graphs of the first type of each abnormal residual monitoring area and each abnormal potential leakage area is as follows: and extracting first type of abnormal residual monitoring areas from the abnormal residual monitoring areas, and respectively matching the first type of abnormal residual monitoring areas with the monitoring ranges of the infrared thermal imaging cameras extracted from the information base to obtain the infrared thermal imaging cameras to which the first type of abnormal residual monitoring areas belong.
And the infrared thermal imaging cameras on the left side and the right side of the infrared thermal imaging cameras, which are adjacent to the infrared thermal imaging cameras, of the first type of abnormal residual monitoring areas are mobilized to carry out secondary monitoring on the first type of abnormal residual monitoring areas, verification temperature distribution images of the first type of abnormal residual monitoring areas are respectively obtained from the infrared thermal imaging cameras on the left side and the right side, and the verification temperature distribution images are respectively recorded as left verification temperature distribution images and right verification temperature distribution images of the first type of abnormal residual monitoring areas.
And analyzing to obtain left and right verification temperature graphs of the first type of various residual monitoring areas, overlapping and comparing the left and right verification temperature graphs of the various residual monitoring areas according to a preset principle to obtain the verification temperature graphs of the first type of various residual monitoring areas, and similarly obtaining the verification temperature graphs of various potential leakage areas.
As a preferred example, the specific operation mode of the mobilizing infrared thermal imaging camera to perform secondary monitoring on the first type of abnormal residual monitoring area and the abnormal potential leakage area is as follows: and extracting infrared thermal imaging cameras adjacent to the first type of abnormal residual monitoring areas on the left and right sides of the infrared thermal imaging cameras, and respectively marking the infrared thermal imaging cameras as left and right infrared thermal imaging cameras corresponding to the first type of abnormal residual monitoring areas.
The distance between each region and each infrared thermal imaging camera is called from the information base, the distance between each first type of different residual monitoring region and the corresponding left and right infrared thermal imaging cameras is obtained through screening, the distances are respectively matched with the corresponding distances of each shooting mode of the set infrared thermal imaging cameras, the shooting modes of each left and right infrared thermal imaging cameras are obtained, the shooting modes are recorded as target shooting modes of each left and right infrared thermal imaging cameras, the current shooting modes of each left and right infrared thermal imaging cameras are automatically regulated and controlled to be target shooting modes, and the infrared thermal imaging cameras can be regulated and controlled to carry out secondary monitoring on each abnormal potential electric leakage region.
It should be further described that, the regulation of the shooting mode of the infrared thermal imaging camera is to regulate shooting parameters corresponding to the shooting mode of the infrared thermal imaging camera, where the shooting parameters include focal length, gain, brightness and contrast, distances between the different monitoring areas and the infrared thermal imaging camera are different, and parameter settings of the shooting modes of the infrared thermal imaging camera are also different.
As a preferable example, the specific acquisition modes of the fire risk coefficient verification and the leakage risk coefficient verification are as follows: analyzing and obtaining the verification fire risk coefficient of each abnormal residual monitoring area of the first class and the verification leakage risk coefficient of each abnormal potential leakage area according to the verification temperature graphs of each abnormal residual monitoring area and each abnormal potential leakage area of the first class, and respectively marking asWhere j ' =1 ',2 '.
As a preferable example, the specific analysis manner of the fire risk coefficient coincidence degree and the leakage risk coefficient coincidence degree is as follows: extracting fire risk coefficients of each residual monitoring area, screening to obtain fire risk coefficient degree of each first type of different residual monitoring areas, and marking the fire risk coefficient degree asAnalyzing the fire risk coefficient coincidence degree of the first type of various residual monitoring areasThe leakage risk coefficient coincidence degree of various potential leakage areas can be obtained by the same way>
If the fire risk coefficient coincidence degree of a certain abnormal residual monitoring area of the first class is 1, the abnormal residual monitoring area of the first class is determined to be a fire risk area, the number of the abnormal residual monitoring area of the first class is further obtained, the numbers of different potential leakage areas can be obtained in the same way, and feedback is carried out.
Otherwise, the first type of abnormal residual monitoring area is misjudged as a fire risk area, the infrared thermal imaging cameras of the first type of abnormal residual monitoring area are faulty, the infrared thermal imaging cameras of the abnormal potential leakage areas are faulty, the serial numbers of the infrared thermal imaging cameras with the faults are obtained, and feedback is carried out.
According to the invention, through the built camera control module, the abnormal secondary analysis module and the abnormal verification module, secondary monitoring is carried out on the first type of abnormal residual monitoring areas and the abnormal potential leakage areas, so that the authenticity and accuracy of the abnormality are determined, the abnormal false alarm condition caused by the self fault of the infrared thermal imaging camera is fully considered, the monitoring error is effectively avoided, and the manpower and material resources are saved to a certain extent.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (10)
1. A high-definition night vision system based on infrared thermal imaging technology is characterized in that: comprising the following steps:
the camera layout module is used for laying each infrared thermal imaging camera in the appointed monitoring space according to a preset layout principle;
the area dividing module is used for dividing the socket areas and the electrical equipment areas in the appointed monitoring space into the first type of residual monitoring areas and the second type of residual monitoring areas in the appointed monitoring space according to a set dividing principle, and recording the first type of residual monitoring areas and the second type of residual monitoring areas, which are collectively called as the residual monitoring areas;
the temperature monitoring module is used for acquiring temperature graphs of each residual monitoring area and each potential leakage area;
the monitoring area analysis module is used for analyzing fire risk coefficients of the residual monitoring areas according to the temperature graphs of the residual monitoring areas so as to obtain abnormal residual monitoring areas;
the potential leakage area analysis module is used for analyzing leakage risk coefficients of all potential leakage areas according to the temperature curve graph of all the potential leakage areas so as to obtain all the abnormal potential leakage areas;
the camera control module is used for mobilizing each infrared thermal imaging camera to secondarily acquire verification temperature graphs of the first type of various abnormal residual monitoring areas and various abnormal potential leakage areas;
the abnormal secondary analysis module is used for analyzing the verification fire risk coefficient of the first type of abnormal residual monitoring areas and the verification leakage risk coefficient of the abnormal potential leakage areas;
the abnormality verification module is used for analyzing the fire risk coefficient coincidence degree of the first type of each abnormal residual monitoring area and the leakage risk coefficient coincidence degree of each abnormal potential leakage area;
the information base is used for storing the standard temperature numerical value color chart, storing the reference temperature value of the potential leakage area, storing the temperature value of each socket and each electrical equipment in normal operation, storing the monitoring range of each infrared thermal imaging camera and storing the distance between each area and each infrared thermal imaging camera.
2. The high-definition night vision system based on the infrared thermal imaging technology of claim 1, wherein: the specific content of the preset layout principle is as follows:
and selecting the position of the roof edge line of the appointed monitoring space as the layout position of the infrared thermal imaging cameras, equally dividing the position of the roof edge line of the appointed monitoring space by taking the field of view range of the infrared thermal imaging cameras in the horizontal direction as a fixed interval, and taking each dividing point as the layout point of each infrared thermal imaging camera.
3. The high-definition night vision system based on the infrared thermal imaging technology of claim 2, wherein: the specific content of the setting and dividing principle is as follows:
taking a central point between two adjacent infrared thermal imaging camera arrangement points as a starting point, making a vertical line perpendicular to the ground on the wall surface, and taking the vertical line as an edge to make a plane perpendicular to the wall surface of the appointed monitoring space, so as to obtain each plane and divide the residual area in the appointed monitoring space into each residual monitoring area;
if a certain residual monitoring area can only be monitored by one infrared thermal imaging camera, the residual monitoring area is marked as a first type residual monitoring area, and if a certain residual monitoring area can be monitored by a plurality of infrared thermal imaging cameras at the same time, the residual monitoring area is marked as a second type residual monitoring area, so that each residual monitoring area of the first type and each residual monitoring area of the second type are obtained.
4. A high definition night vision system based on infrared thermal imaging technology as claimed in claim 3, wherein: the specific acquisition mode of the temperature curve graph is as follows:
acquiring temperature distribution images of the first type of residual monitoring areas by using the distributed infrared thermal imaging cameras, respectively comparing the temperature distribution images with a standard temperature numerical value color comparison card which is called from an information base to obtain temperature values corresponding to colors in the temperature distribution images of the first type of residual monitoring areas, and drawing a temperature graph of each residual monitoring area by taking each temperature value of each residual monitoring area of the first type as a vertical coordinate and a number corresponding to each color as a horizontal coordinate;
the temperature curve graphs of the second class of residual monitoring areas and the temperature curve graphs of the potential leakage areas can be obtained by the same method;
and (3) carrying out coincidence comparison on the temperature graphs of the second class of residual monitoring areas according to a preset principle to obtain a comprehensive temperature graph of the second class of residual monitoring areas, and recording the comprehensive temperature graph as the temperature graph of the second class of residual monitoring areas.
5. The high-definition night vision system based on infrared thermal imaging technology of claim 4, wherein: the specific analysis mode of the fire risk coefficient of each residual monitoring area is as follows:
extracting each temperature value of each residual monitoring area, and analyzing fire risk coefficient of each residual monitoring areaWherein->The p-th temperature value for the j-th remaining monitoring area,>for the set standard temperature values of the remaining monitoring areas, j=1, 2, & gt, a, j is the number of each remaining monitoring area, p=1, 2, & gt, q, p is the number of each temperature value, and e is a natural constant;
and respectively comparing the fire risk coefficient of each residual monitoring area with a set fire risk coefficient threshold value to obtain each residual monitoring area corresponding to the fire risk coefficient larger than the set fire risk coefficient threshold value, and marking the residual monitoring areas as abnormal residual monitoring areas.
6. The high-definition night vision system based on infrared thermal imaging technology of claim 4, wherein: the specific analysis mode of the leakage risk coefficient of each potential leakage area is as follows:
extracting each temperature value of each potential leakage area, and analyzing the leakage risk coefficient of each potential leakage areaWherein->The kth temperature value for the (h) th potential leakage region,/th potential leakage region>For reference temperature values of potential leakage areas extracted from the information base, h=1, 2. H is the number of each potential leakage area, k=1, 2, once again, g, k is the number of each temperature value;
and respectively differencing the leakage risk coefficient of each potential leakage area with a set leakage risk coefficient threshold value to obtain a difference value between the leakage risk coefficient of each potential leakage area and the set leakage risk coefficient threshold value, screening the difference value to obtain each potential leakage area with the difference value larger than 0, and marking the potential leakage area as each abnormal potential leakage area.
7. A high definition night vision system based on infrared thermal imaging technology as claimed in claim 3, wherein: the specific acquisition mode of the verification temperature curve graphs of the first type of various abnormal residual monitoring areas and various abnormal potential leakage areas is as follows:
extracting first type of abnormal residual monitoring areas from the abnormal residual monitoring areas, and respectively matching the first type of abnormal residual monitoring areas with the monitoring ranges of the infrared thermal imaging cameras extracted from the information base to obtain infrared thermal imaging cameras to which the first type of abnormal residual monitoring areas belong;
the infrared thermal imaging cameras on the left side and the right side of the infrared thermal imaging cameras adjacent to the infrared thermal imaging cameras to which the first type of abnormal residual monitoring areas belong are mobilized to carry out secondary monitoring on the first type of abnormal residual monitoring areas, verification temperature distribution images of the first type of abnormal residual monitoring areas are obtained from the infrared thermal imaging cameras adjacent to the left side and the right side respectively, and the verification temperature distribution images are recorded as left verification temperature distribution images and right verification temperature distribution images of the first type of abnormal residual monitoring areas respectively;
and analyzing to obtain left and right verification temperature graphs of the first type of various residual monitoring areas, overlapping and comparing the left and right verification temperature graphs of the various residual monitoring areas according to a preset principle to obtain the verification temperature graphs of the first type of various residual monitoring areas, and similarly obtaining the verification temperature graphs of various potential leakage areas.
8. The high-definition night vision system based on infrared thermal imaging technology of claim 7, wherein: the specific operation mode of mobilizing the infrared thermal imaging camera to carry out secondary monitoring on the first type of various abnormal residual monitoring areas and various abnormal potential leakage areas is as follows:
extracting infrared thermal imaging cameras adjacent to the first type of abnormal residual monitoring areas on the left and right sides of the infrared thermal imaging cameras, and respectively marking the infrared thermal imaging cameras as left and right infrared thermal imaging cameras corresponding to the first type of abnormal residual monitoring areas;
the distance between each region and each infrared thermal imaging camera is called from the information base, the distance between each first type of different residual monitoring region and the corresponding left and right infrared thermal imaging cameras is obtained through screening, the distances are respectively matched with the corresponding distances of each shooting mode of the set infrared thermal imaging cameras, the shooting modes of each left and right infrared thermal imaging cameras are obtained, the shooting modes are recorded as target shooting modes of each left and right infrared thermal imaging cameras, the current shooting modes of each left and right infrared thermal imaging cameras are automatically regulated and controlled to be target shooting modes, and the infrared thermal imaging cameras can be regulated and controlled to carry out secondary monitoring on each abnormal potential electric leakage region.
9. The high-definition night vision system based on infrared thermal imaging technology of claim 7, wherein: the specific acquisition modes of the fire risk coefficient verification and the leakage risk coefficient verification are as follows:
analyzing and obtaining the verification fire risk coefficient of each abnormal residual monitoring area of the first class and the verification leakage risk coefficient of each abnormal potential leakage area according to the verification temperature graphs of each abnormal residual monitoring area and each abnormal potential leakage area of the first class, and respectively marking asWhere j ' =1 ',2 '.
10. The high-definition night vision system based on infrared thermal imaging technology of claim 9, wherein: the specific analysis mode of the fire risk coefficient coincidence degree and the leakage risk coefficient coincidence degree is as follows:
extracting fire risk coefficients of each residual monitoring area, screening to obtain fire risk coefficient degree of each first type of different residual monitoring areas, and marking the fire risk coefficient degree asAnalyzing the fire risk coefficient coincidence degree of the first type of various residual monitoring areasThe leakage risk coefficient coincidence degree of various potential leakage areas can be obtained by the same method
If the fire risk coefficient coincidence degree of a certain abnormal residual monitoring area of the first class is 1, determining the abnormal residual monitoring area of the first class as a fire risk area, further obtaining the number of the abnormal residual monitoring area of the first class, obtaining the numbers of various abnormal potential leakage areas by the same method, and feeding back;
otherwise, the first type of abnormal residual monitoring area is misjudged as a fire risk area, the infrared thermal imaging cameras of the first type of abnormal residual monitoring area are faulty, the infrared thermal imaging cameras of the abnormal potential leakage areas are faulty, the serial numbers of the infrared thermal imaging cameras with the faults are obtained, and feedback is carried out.
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