WO2015096824A1 - Dispositif d'analyse et procédé d'analyse - Google Patents

Dispositif d'analyse et procédé d'analyse Download PDF

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Publication number
WO2015096824A1
WO2015096824A1 PCT/CN2014/095438 CN2014095438W WO2015096824A1 WO 2015096824 A1 WO2015096824 A1 WO 2015096824A1 CN 2014095438 W CN2014095438 W CN 2014095438W WO 2015096824 A1 WO2015096824 A1 WO 2015096824A1
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Prior art keywords
analysis
thermal image
image data
information
data frame
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PCT/CN2014/095438
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English (en)
Chinese (zh)
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王浩
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王浩
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Publication of WO2015096824A1 publication Critical patent/WO2015096824A1/fr

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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
    • G01J5/02—Constructional details
    • G01J5/026—Control of working procedures of a pyrometer, other than calibration; Bandwidth calculation; Gain control
    • 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
    • G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
    • 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
    • G01J5/02—Constructional details
    • G01J5/025—Interfacing a pyrometer to an external device or network; User interface
    • 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

Definitions

  • an analysis area such as a point, a line, a surface, and the like for the thermal image data frame.
  • an analysis mode such as an analysis calculation rule corresponding to the analysis region, such as calculating a maximum temperature, an average temperature, a minimum temperature, a percentage content, etc., and may also include analysis Calculation relationships between regions such as temperature differences; diagnostic rules, such as comparisons and thresholds corresponding to analysis regions and analysis modes.
  • diagnostic rules taking the analysis of cable terminations as an example, where the upper and lower parts of the body casing need to be set up, and then the analysis area is set, and then the maximum temperature and the temperature difference between each other are calculated; If the area is not accurately set at the above location, or the analysis mode setting is unreasonable, the correct analysis data cannot be obtained. Setting the diagnostic rules requires the user to be very proficient in the diagnosis of the subject, and the requirements are very high. The power industry involves dozens of types of subjects that require infrared detection. Depending on the voltage level, there may be thousands of types, and the technical difficulty can be considered.
  • the size of the analysis area and the like are also strictly required, because the analysis areas of different sizes, even if they are placed in the same part, the analysis results may be different, for example, the setting is too small, and may be missed.
  • the critical part range, if set too large, may be susceptible to interference.
  • the prior art requires manual setting of the analysis area, analysis mode, and diagnostic rule corresponding to the thermal image of the subject, and relies on the subjective experience of the user, and the drawbacks can be summarized as cumbersome operation and technical difficulty.
  • thermal imaging diagnostic apparatus that can easily set one or more of an analysis area, an analysis mode, and a diagnosis rule without excessively relying on the user's subjective idea, and solve the prior art problem.
  • the present invention provides an analysis apparatus and an analysis method, which automatically set one or more of an analysis area, an analysis mode, and a diagnosis rule when a specific subject thermal image is detected in the acquired thermal image data frame, and can perform diagnosis and / or notify the diagnosis results, thereby solving the prior art problems.
  • the analysis configuration unit is configured to arrange one or more of the following: the configuration data of the analysis region, the position parameter of the analysis region, the analysis mode, and the diagnosis rule according to the predetermined information obtained by the detection unit.
  • the analysis configuration step is configured to configure one or more of the following according to the specified information obtained by the detecting step: the composition data of the analysis area, the position parameter of the analysis area, the analysis mode, and the diagnosis rule.
  • Fig. 2 is a perspective view showing the thermal imaging device 100 of the first embodiment.
  • FIG. 3 is a schematic diagram of object information, diagnosis, object identification information, and the like stored in the storage medium of the first embodiment.
  • Fig. 6 is a display example of the diagnosis process of the first embodiment.
  • Fig. 8 is a diagram showing an example of display in which analysis area setting is performed in various ways.
  • Fig. 9 is a schematic diagram showing a comparison table (or correspondence relationship) between diagnosis and evaluation values.
  • Fig. 10 is a flowchart showing the control of the second embodiment.
  • Fig. 11 is a display example of the diagnosis process of the second embodiment.
  • Fig. 12 is a display example of the analysis area setting of the second embodiment.
  • Fig. 13 is a flowchart showing the control of the third embodiment.
  • Fig. 14 is a view showing a display example of the diagnosis process of the third embodiment.
  • Fig. 15 is a display example of a reference image.
  • FIG. 1 is a block diagram showing a schematic configuration of a thermal imaging device 100 as an example of an analysis device in the first embodiment.
  • the thermal imaging device 100 includes an imaging unit 1, a temporary storage unit 2, a flash memory 3, a communication I/F 4, a memory card I/F 5, a memory card 6, an image processing unit 7, a detection unit 8, and a display control unit 9,
  • the display unit 10, the control unit 11, the operation unit 12, and the control unit 11 are connected to the corresponding portion of the data bus 13 by control, and are responsible for overall control of the thermal image device 100.
  • the imaging unit 1 is composed of an optical member (not shown), a lens driving member, an infrared detector, a signal preprocessing circuit, and the like.
  • the optical component consists of an infrared optical lens for focusing the received infrared radiation onto the infrared detector.
  • the lens driving section drives the lens in accordance with a control signal of the control section 11 to perform a focusing or zooming operation. In addition, it can also be a manually adjusted optical component.
  • Infrared detectors such as infrared or non-refrigerated infrared focal plane detectors, convert infrared radiation through optical components into electrical signals.
  • the signal pre-processing circuit comprises a sampling circuit, an AD conversion circuit, a timing trigger circuit, etc., and the signal output from the infrared detector is sampled and processed in a predetermined period, and converted by the AD conversion circuit to obtain a digital thermal image data frame.
  • the thermal image data frame includes thermal image AD value data such as 14-bit or 16-bit binary data; the thermal image data frame is not limited to the inherent resolution of the infrared detector, and may be lower or higher than the infrared detector. rate.
  • the thermal image data frame is not limited to the analog signal output by the infrared detector, and may be obtained, for example, based on a digital signal output from the infrared detector itself.
  • the imaging unit 1 functions as an acquisition unit for acquiring a thermal image data frame.
  • the thermal image data frame is not limited to including thermal image AD value data; for example, image data of an infrared thermal image may be included, and for example, array data of temperature values or other data generated based on thermal image AD value data may be included.
  • the so-called thermal image data frame hereinafter is exemplified by data including thermal image AD values.
  • the temporary storage unit 2 is a buffer memory that temporarily stores a thermal image data frame output from the imaging unit 1 as a buffer memory that temporarily stores the thermal image data frame output from the imaging unit 1. For example, the following processing is repeated, and the acquired thermal image data frame is temporarily stored for a predetermined time portion.
  • a new frame is acquired by the acquisition unit, a new thermal image data frame is stored after the old frame is deleted, and a work memory such as the image processing unit 7, the detection unit 8, the control unit 11, and the like are temporarily stored. The data to be processed.
  • the flash memory 3 stores programs for control and various data used in the control of each part.
  • data related to detection and diagnosis is stored in a storage medium such as the flash memory 3, for example, a database storing subject identification information, and may be stored, for example, in a data file of a specific format or the like.
  • the configuration information such as the subject information, the subject identification information, the predetermined judgment value, the analysis data of the analysis region, the analysis mode, and the diagnosis rule are associated with each other and stored.
  • a predetermined positional relationship between the analysis area and the subject identification information (not shown in the table of FIG.
  • the positional relationship such as the positional parameter in the template, such as the base point position, is specified.
  • the positional relationship such as the positional parameter in the template, such as the base point position, is specified.
  • the positional relationship such as the positional parameter in the template, such as the base point position, is specified.
  • base point position size, such as base point position, size, rotation angle; for example, the analysis area is located in the position corresponding to the feature quantity, such as the base point position, such as the base point position, size, such as the base point position, size, rotation angle.
  • the subject information is information related to the subject, for example, information representing the location, type, number, and the like of the subject, and the generated subject indication information should allow the user to recognize the captured photographed subject.
  • the body may further include a belonging unit related to the subject, a classification level (such as a voltage level, an important level, etc.), a model, a manufacturer, performance and characteristics, a history of past shooting or overhaul, a date of manufacture, Various information such as the duration of use.
  • a classification level such as a voltage level, an important level, etc.
  • a model such as a voltage level, an important level, etc.
  • a model such as a manufacturer, performance and characteristics
  • a history of past shooting or overhaul a date of manufacture
  • Various information such as the duration of use.
  • the embodiment in which the subject identification information is associated with the subject information is a preferred embodiment, and various applicable subject information can be prepared depending on the application.
  • the object information is identity information of a representative object recognizable by the user, such as information representing the location, type, and phase of the subject; but may also be representative of the type of the subject. information.
  • the subject identification information is not limited to being associated with the subject information.
  • the so-called subject identification information for example, a template related to the calculation of the relevance, a feature amount, and the like; the so-called subject identification information may be, for example, a template for template matching; for example, it may be a feature quantity of the parameter description.
  • the template is, for example, a template image, for example, each pixel is a template of temperature value data or the like.
  • the feature quantity is a feature such as a point, a line, a surface, or the like in a specific area, for example, a value determined according to a state of a pixel included in the detection window, such as a ratio of a predetermined portion of pixels in a specific detection window, and a pixel value. The average value, the center point, area, etc.
  • the subject The corresponding subject identification information is the template image 301, and the subject identification information corresponding to the subject 2 is the feature amount 302.
  • a combination of one or more types of subject identification information may be selected depending on the situation.
  • the judgment value for example, compares the value of the correlation obtained by the detection with the judgment value, and determines whether or not there is a specific subject thermal image.
  • the predetermined judgment value is stored in the flash memory 3 in advance corresponding to the subject identification information, but other manners may be prepared, such as a judgment value temporarily set by the user.
  • composition data of the analysis area is used to set the analysis area, such as data representing points, lines, and faces, for example, vector graphic data, for example, bitmap image data, and the composition data of the analysis area may include the analysis area.
  • Information such as number, including number information of each analysis area when the analysis area is composed of a plurality of analysis areas.
  • the so-called analysis mode such as the analysis and calculation rules corresponding to the analysis area; for example, the temperature analysis based on the thermal image data determined by the analysis area is used to obtain the analysis result, and the analysis calculation rules are used, such as calculating the highest temperature, the average temperature, the lowest temperature, The percentage content and the like; and, may also include the calculation relationship of the analysis area of the same thermal image data frame and/or the analysis area between different thermal image data frames, such as temperature difference and the like.
  • the same analysis area may correspond to a plurality of different analysis modes, and the same analysis mode may correspond to a plurality of different analysis areas.
  • the diagnostic rule includes, for example, at least one comparison relationship and its diagnostic threshold corresponding to the analysis region and the analysis mode, or further associated with a diagnosis conclusion; the diagnosis conclusion, such as a diagnosis basis, a detailed defect type, a defect degree, Handling suggestions, etc.
  • the diagnosis conclusion such as a diagnosis basis, a detailed defect type, a defect degree, Handling suggestions, etc.
  • it includes at least one comparison relationship and its diagnostic threshold corresponding to the analysis mode, or further associated with a diagnosis conclusion; wherein the specific analysis region is omitted, and the analysis region can be generally applied to any analysis region to which the analysis mode is applied.
  • the analysis region, the analysis mode, the corresponding comparison relationship and its diagnostic threshold, or further associated with the diagnosis conclusion can also be understood as an overall diagnostic rule.
  • comparison relationships and diagnostic thresholds for the combination of the same analysis area and the analysis mode, there may be one or more comparison relationships and diagnostic thresholds, or corresponding one or more diagnostic conclusions respectively; for example, the diagnosis conclusions of normal, attention, and defects are respectively different. Compare relationships and diagnostic thresholds. Corresponding to one subject, there may be multiple diagnostic rules for different analysis areas and analysis mode combinations.
  • the diagnosis rule may be such a configuration that, corresponding to a plurality of analysis regions and analysis mode combinations, the evaluation values of the plurality of analysis results obtained are configured with a comparison relationship and a diagnosis threshold value corresponding to the evaluation values.
  • the evaluation values of the plurality of analysis results are obtained, for example, by weighting each of the weights of the plurality of analysis results.
  • the plurality of analysis results are not limited to one frame of thermal image data frames, but may be obtained based on analysis of a plurality of thermal image data frames.
  • the communication I/F 4 is an interface that connects and exchanges data between the thermal image device 100 and an external device in accordance with a communication specification such as USB, 1394, or network.
  • a communication specification such as USB, 1394, or network.
  • a personal computer, a server, and a PDA (personal digital assistant device) can be cited as an external device.
  • other thermal imaging devices such as visible light imaging devices, storage devices, and the like.
  • the analysis unit 6 may include an analysis configuration unit, an analysis area setting unit, an analysis unit, and a diagnosis unit.
  • the analysis configuration unit is configured to configure one or more of the following: the configuration data of the analysis area, the position parameter of the analysis area, the analysis mode, and the diagnosis rule according to the predetermined information obtained by the detection unit.
  • the position parameter of the analysis area is configured according to the position parameter of the specific subject thermal image obtained by the detecting unit;
  • the analysis area may be configured according to a positional parameter in which a specific subject thermal image is detected; in one example, a detection window, a template image, or the like in which a specific subject thermal image is detected is configured as an analysis area.
  • the constituent data of the analysis region is determined based on the constituent data of the analysis region associated with the subject identification information; based on the predetermined positional relationship between the subject identification information and the analysis region, and the specific The positional parameter of the thermal image in the thermal image data frame is configured to configure the positional parameter of the analysis area in the thermal image data frame.
  • the positional parameter of the analysis area is configured according to the positional parameter of the specific subject thermal image; and the positional parameter of the analysis area is analyzed according to the constituent data of different analysis areas such as a point, a line, a surface (such as a circle, a frame, etc.), for example, only Contains a position (such as a point), for example, including a position and a size, such as a position, a size, and a rotation angle.
  • the position of the analysis area (such as a point), or the position, size, or also the rotation angle of the analysis area (such as a frame) is set, for example, according to the position, size, and inclination angle of the specific subject thermal image.
  • the positional parameters of the analysis area may be a part thereof, for example, setting the position of the analysis area (such as a frame) according to the position of the thermal image of the subject, and the size and the rotation angle thereof are The default parameters.
  • the predetermined calculation target may be calculated according to a predetermined calculation rule, and the analysis region may be set based on the predetermined information obtained by the detection, for example, the positional parameter of the thermal image of the subject.
  • the calculation target such as the detection window, the template image, the thermal image data in the detection window, and other objects having a predetermined positional relationship with the subject identification information (such as an analysis region having a predetermined positional relationship) are defined.
  • the prescribed calculation rule includes at least cutting the specified calculation object, extracting features (for example, extracting characteristic pixels of a specified image range, extracting edges, etc.), scaling, deforming, dividing, dividing, calculating an outsourcing rectangle, and calculating Cutting a rectangle, calculating a center line, calculating a feature point, calculating an inner envelope, and calculating one or more of the outer envelope lines; in the storage medium, pre-storing parameters corresponding to the prescribed calculation rule (for example, based on the center point Scaled parameters: based on center point, zoom rate), or configured by the user.
  • extracting features for example, extracting characteristic pixels of a specified image range, extracting edges, etc.
  • scaling deforming, dividing, dividing, calculating an outsourcing rectangle, and calculating Cutting a rectangle, calculating a center line, calculating a feature point, calculating an inner envelope, and calculating one or more of the outer envelope lines
  • pre-storing parameters corresponding to the prescribed calculation rule for example, based on the center point Scaled parameters: based on center
  • the template T2 is used as a calculation object, and the analysis area F2 obtained after scaling and deformation using the center point as a base point can be used for analyzing and calculating the temperature distribution of a predetermined area on the body of the thermal image of the object. To reduce the impact of the surrounding environment on the assessment.
  • the template T3 is used as a calculation target, and an analysis area F3 that is equally divided into eight is provided; it can be used to analyze the thermal field distribution of different parts of the subject body in detail.
  • an analysis area F3 that is equally divided into eight is provided; it can be used to analyze the thermal field distribution of different parts of the subject body in detail.
  • the set analysis area contains multiple analysis areas, automatic numbering can be performed as needed, for example, the analysis area F3 includes the numbered analysis area F01-F08.
  • the edge image is extracted by the thermal image data TU5 in the detection window, and the obtained analysis region F5 of the edge contour can be used for analyzing and measuring the maximum temperature of the object, which can reduce the influence of the high temperature object in the background. .
  • the template image TU6 is extracted from a pixel point having a predetermined threshold or more, and the obtained analysis region F6 can be used for analysis and calculation of the subject feature portion.
  • the analysis area may be set according to the relationship between the detected information obtained by the specified information and/or the predetermined information and the analysis area, and the analysis mode may be configured according to the purpose of the infrared detection. .
  • the configuration data of the analysis region, the position parameter of the analysis region, the analysis mode, and the diagnosis rule are arranged based on the predetermined information detected by the detection unit.
  • the analysis configuration unit arranges the configuration data of the analysis area, the positional parameter of the analysis area, the analysis mode, and the diagnosis rule based on the above information to the specific subject thermal image.
  • the subject information and its associated subject identification information and analysis region configuration data, a predetermined positional relationship between the analysis region and the subject identification information, an analysis mode, and a diagnosis rule are stored in advance;
  • the selection unit is configured to Selecting subject information;
  • the detecting unit detects a specific subject thermal image based on the specific subject identification information associated with the selected subject information;
  • the analysis configuration unit configures the composition data of the analysis region based on the information, Analyze the location parameters, analysis mode, and diagnostic rules of the area.
  • the analysis configuration unit is based on the following factors:
  • the rest may be configured by other means such as the default of the thermal imaging device 100, for example.
  • the position data of the analysis area is set according to the detected position and size of the specific subject thermal image, but is configured according to the default analysis area composition data, analysis mode, and diagnostic rule; when analyzing the area, analyzing the mode, and diagnosing
  • the rules are not all determined by the detected regulatory information, but are also superior to the prior art.
  • the analyzing unit analyzes the analysis mode set by the configuration unit according to the analysis area set by the analysis area setting unit, analyzes the thermal image data frame, and illustrates the specific implementation manner of the analysis unit by taking temperature analysis as an example.
  • the analyzing unit extracts the analysis area from the analyzed thermal image data frame or the thermal image data frame subjected to predetermined processing such as correction and interpolation, based on the analysis area set by the analysis area setting unit.
  • the determined thermal image data is subjected to temperature value conversion processing to obtain temperature values corresponding to the thermal image data, and then the obtained temperature values are analyzed and calculated according to the analysis mode. For example, if the maximum value is calculated, the largest temperature value among them is extracted as the analysis result.
  • the analysis area includes a plurality of analysis area units, as shown in FIG. 6(b), the analysis area F1 has analysis area units S01 and S02, and sequentially converts the temperature values of the thermal image data in each analysis area unit.
  • the process of converting the thermal image data in the analysis region into a temperature value may be to convert all the thermal image data in the analysis region into a temperature value; or to convert the predetermined partial thermal image data into a temperature value; It is possible to determine the conversion of the thermal image data according to the different modes of calculating the highest, lowest, and average temperatures in the analysis mode, whether to convert part of the thermal image data in the analysis region, or all; for example, the analysis mode is the highest in the calculation analysis region.
  • the thermal image AD value can also be compared for the thermal image data in the analysis area.
  • the size, the largest thermal image AD value is converted into a temperature value, and it is not necessary to convert all the thermal image data in the analysis area into a temperature value.
  • the case where the algorithm is different is also included. For example, when calculating the highest temperature, the AD value of the adjacent pixel of the maximum average value is not converted into the temperature by the average value of the AD values of the predetermined number of adjacent pixels instead of a single pixel. A value and an average value of temperature values of the adjacent pixel thermal image data is taken as the highest temperature value.
  • the analysis unit 6 has a diagnosis unit that obtains an analysis result based on the analysis unit, performs diagnosis in accordance with the configured diagnosis rule, and obtains a diagnosis result.
  • the analysis results obtained by the analysis region (S01, S02) and the analysis mode include:
  • the analysis result is compared according to the diagnosis rule to obtain a diagnosis result; the output of the diagnosis result may also be a control signal and output to other external devices connected to the thermal image device 100.
  • the notification is performed according to the diagnosis result, for example, by controlling display changes of characters or images (including infrared thermal images, reference images, etc.) in the display unit 10 or the like; or light, sound prompts, vibrations, and the like generated by the indicator lights, As long as it is a method that users can perceive.
  • control display unit 10 displays the diagnosis conclusion, and further, the analysis area related to the diagnosis, the analysis mode, the comparison relationship and the corresponding diagnosis threshold, the diagnosis basis, the defect type, the defect degree, the treatment suggestion, etc.
  • the notification is made in a manner that the user can perceive, such as text, and accordingly, the data of the related data and the diagnostic rule can be prepared in advance, for example, stored in a storage medium.
  • a predetermined thermal image data frame is diagnosed.
  • the predetermined thermal image data frame may be a thermal image data frame in which a specific subject thermal image is detected; but is not limited thereto, and may be a frame before or after the timing of the frame, or more The frame obtained by the frame operation, and so on. Or it may be a predetermined multi-frame thermal image data frame.
  • the image processing unit 7 is configured to perform predetermined processing on the thermal image data frame obtained by the imaging unit 1, for example, a thermal image of a predetermined time portion temporarily stored in the temporary storage unit 2 when the display timing comes. In the data frame, the frame of each predetermined time interval is selected and read; the processing of the image processing unit 7 is converted into data suitable for display, recording, etc., such as correction, interpolation, pseudo color, synthesis, compression, decompression, and the like. deal with.
  • the image processing unit 7 can be realized by, for example, a DSP or another microprocessor, a programmable FPGA, or the like, or can be integrated with a processor such as the analysis unit 6, the detection unit 8, and the control unit 11.
  • the image processing unit 7 is configured to perform predetermined processing on the obtained thermal image data frame to obtain image data of the infrared thermal image. Specifically, for example, the image processing unit 7 performs predetermined processing such as non-uniformity correction and interpolation on the thermal image data frame obtained by imaging, and then performs pseudo color processing to obtain image data of the infrared thermal image; an embodiment of the pseudo color processing For example, the corresponding pseudo-color table range is determined according to the AD value range or the AD value setting range of the thermal image data frame, and the specific color value corresponding to the thermal image AD value data in the pseudo color plate range is taken as the infrared thermal image thereof. Image data corresponding to the pixel position.
  • a feature registration unit for registering subject identification information related to the correlation calculation.
  • the subject identification information may be registered according to the subject identification information stored in advance in the storage medium; for example, the subject identification information associated with the selected subject information of the user is registered with the correlation calculation Subject identification information. Further, the subject identification information may be specified by the user. For example, the subject identification information may be obtained by specifying the subject region from the displayed infrared thermal image, for example, obtaining a template image.
  • the registered subject identification information is stored, for example, at a predetermined position of the temporary storage unit 2, or is distinguished from other stored subject identification information by the mark when stored.
  • a detection window setting unit for setting a detection window, and one or more detection windows may be set based on the thermal image data frame or a specific detection area therein. For example, according to a certain range of detection areas (such as G1 in FIG. 5), a plurality of detection windows are disposed in the detection area G1, which may be a plurality of detection windows of different sizes, or may be a detection window after a further tilt, usually The size, tilt, and the like of the detection window may be preset according to the requirements of the photographing quality; as shown in FIG. 4, wherein FIG. 4(a) is a standard detection window, and FIG. 4(b) is a detection window according to the reduced size. 4(c) is a detection window set for the enlargement size, and FIG.
  • the detection area may be set by the user according to the shooting habits, for example, and one or more detection areas may be set according to the position and size specified by the user; for example, it may be pre-stored, such as associated with the subject information; or Set a specific detection area, that is, the range of the default thermal image data frame is the detection area.
  • the substation is filled with a large number of similarly shaped devices, but with different names, in order to avoid misleading users and accidental shooting, it is preferable to set the detection area. Overlapping the detection area on the infrared thermal image, using It is easy to understand the approximate position, size, and the like of the captured thermal image of the subject, and it is easy to take a reference. However, the detection area may not be displayed. Preferably, information such as a detection area related to the detection processing, a detection window setting, and the like is associated with the subject information together with the subject identification information.
  • the detecting unit compares the thermal image data in the detection window set by the detection window setting unit, for example, with the subject identification information, in the read thermal image data frame, to obtain a correlation for evaluating similarity The value of the degree.
  • a value of the maximum correlation obtained therein may be detected as a value of the correlation of the thermal image data frame.
  • the judging unit determines whether the value of the correlation degree is determined according to the predetermined judgment value to determine whether a specific subject thermal image is detected; for example, when the value representing the degree of similarity between the representative image and the template image exceeds the judgment In the case of a value, the frame is determined to be a frame including a specific subject thermal image, that is, a specific subject thermal image is detected.
  • the detection processing of the detecting unit 8 is based on the detection method of the feature amount described by the parameter.
  • the feature amount of the thermal image data in the detection window may be calculated as the value of the correlation degree according to the subject identification information; for example, the subject identification information may further include a feature amount reference value, and a predetermined operation may be performed to obtain the detection.
  • the feature quantity reference value is a prescribed pixel ratio of a specific pixel value
  • the detecting unit calculates the thermal image
  • the pixel ratio of a specific pixel value in the data is compared to obtain the value of the correlation, and the smaller the calculated difference is, the higher the correlation is.
  • the value of the correlation is compared with the judgment value to determine whether a specific subject thermal image is detected.
  • the contour image is used as the matched template image
  • the detecting unit 8 detects whether or not there is a specific subject in the thermal image data frame, for example, by the following processing; first, the detecting unit 8 extracts the thermal image data located in the detection window, And normalizing the thermal image data in the read detection window according to a predetermined threshold of the AD value; then, extracting the connected image of the binary image having the predetermined pixel value (1 or 0) connected; and then determining Whether the connected image has a predetermined range of size; if it is determined that the size of the connected image is within a predetermined range, a comparison process is performed between the extracted connected image and the registered template image, for example, between the two The sum of the ratios of the overlapping areas in the respective total areas obtains the value of the correlation; the larger the value, the higher the correlation; the value of the correlation is judged according to the specified judgment value to determine whether a specific one is detected Thermal image of the subject.
  • the detecting section 8 moves the window J1 from the upper left corner to the lower right corner of the predetermined detection area G1 of the thermal image data frame 501 to detect, cuts the thermal image data in the window, and detects it.
  • the range of the detected window size, window displacement, and tilt angle of the window is defined in advance, for example, the window size varies from 150 ⁇ 50 pixels to 120 ⁇ 40 pixels, and the range of window displacement varies. From 10 pixels to 1 pixel, the tilt angle of the window varies from 0° to 10° based on the center point. Detection unit 8 successively, each The window size is changed 5 pixels later, and the window displacement is changed 1 pixel at a time, and the window tilt angle is changed 2° each time.
  • the detecting unit 8 performs correlation calculation of the template image T1 and the thermal image data frame 501; after completing the detection of all the detection windows, the value of the correlation obtained by selecting the detection window with the highest correlation is selected as the thermal image data frame 501. The value of the corresponding relevance.
  • a notification may be made; for example, the position of the thermal image of the subject is indicated by displaying the diagnosis result, displaying the analysis region, and the like; Further, for example, a reduced infrared thermal image obtained by displaying a thermal image data frame of a maximum correlation within a predetermined time period or a notification of a character, a color, a flicker change, or the like is also displayed.
  • the information of the correlation degree is displayed; the information of the correlation degree, for example, the value of the correlation degree, the result of detecting the specific subject thermal image, etc., may be converted into information indicating the degree of matching that is easy for the user to understand, and displayed.
  • the value of the correlation is converted into a percentage value; in one example, the sum of the extracted specific object contour and the ratio of the overlap area of the contour T1 in the respective total areas is divided by 200%, which can be converted into The percentage value of the correlation, which converts the value of the correlation into a percentage value.
  • the control unit 11 controls the overall operation of the thermal imaging device 100, and stores a program for control and various data used for control of each part in a storage medium such as the flash memory 3.
  • the control unit 11 is realized by, for example, a CPU, an MPU, an SOC, a programmable FPGA, or the like.
  • control unit 11 is used as an example of the selection unit for selecting subject information; for example, the subject corresponding to the subject instruction information is selected according to the user's selection of the subject instruction information. information.
  • the operation unit 12 is for the user to perform various instruction operations or input various operations such as setting information, and the control unit 11 executes the corresponding program based on the operation signal of the operation unit 12.
  • the buttons for providing user operations include a record button 01, a focus button 02, a confirmation button 03, a play button 04, a menu button 05, a direction button 06, and the like; in addition, a touch screen 07 or a touch screen can be used.
  • a speech recognition component (not shown) or the like is used to implement related operations.
  • the control flow of the detection mode of the thermal image device 100 will be described.
  • the control unit 11 initializes the internal circuit, and then enters the imaging mode, that is, the imaging unit 1 captures a thermal image data frame, and the image processing unit 7 defines the thermal image data frame captured by the imaging unit 1.
  • the processing is stored in the temporary storage unit 2, and the infrared thermal image is continuously displayed in the form of a moving image on the display unit 10.
  • the control unit 11 performs its control. Continuously monitor whether the process of switching to another mode or the shutdown operation is performed according to a predetermined operation, and if so, the corresponding process control is entered.
  • the control mode of the detection mode is as follows:
  • the feature registration unit registers the subject identification information.
  • the control unit 11 displays the subject instruction information generated by the subject information on the display unit 10 based on the table stored in the flash memory 3, and the user operates by the subject "subject 1" at the shooting scene.
  • the portion 12 selects "subject 1" displayed on the display portion 10, and the feature registration unit determines the subject identification information for the detection processing based on the subject identification information associated with the "subject 1", from the flash memory
  • the template image 301 is read in 3 and transmitted to the temporary storage unit 2.
  • Step A02 the thermal image data frame is acquired, and the thermal image data frame obtained by the imaging unit 1 is transmitted to the temporary storage unit 2;
  • step A03 the thermal image data frame obtained by the image capturing unit 1 for example, for example, is detected in the temporary storage unit 2, the detection window setting unit is set, and the detection window is set. For example, based on the upper left corner of the prescribed detection area G1, a detection window is first set;
  • step A04 the processing of the correlation calculation is performed based on the subject identification information on the thermal image data in the detection window.
  • the detecting unit 8 extracts the thermal image data located in the detection window based on the detection window set by the detection window setting unit, and calculates the correlation between the two based on the template registered by the feature registration unit. For example, according to the thermal image data in the detection window, the contour of the extracted specific subject thermal image is compared with the contour of the contour image T1 (obtained by the template image 301), and the overlapping area between the two is calculated in the respective total areas. The sum of the ratios.
  • step A05 the value of the obtained correlation is stored.
  • step A06 the detecting section 8 judges whether or not the correlation degree has been calculated for all the detection windows when the detection window is set in the thermal image data frame. If there is no area where the correlation has not been calculated yet (NO in step A06), the process returns to step A03, and the detection window setting unit shifts the position of the detection window by a predetermined number of pixels in a predetermined direction, and sets the position as the detection window. Next position and repeat the subsequent processing.
  • the detection processing similar to that described above is also performed when the detection window is enlarged and reduced and the detection window is tilted by a predetermined angle.
  • step A09 after detecting the thermal image data frame having the specific subject thermal image, the analyzing unit 6 performs thermal imaging diagnosis on the thermal image data frame to obtain a diagnosis result.
  • the analysis area is set based on the position and size of the detection window B1 having the highest correlation, and the analysis area F1 shown in FIG. 6(b) is analyzed in accordance with the analysis mode 1 corresponding to the analysis area F1, and then the diagnosis is performed.
  • the position, size, and inclination angle of the window B1 in the thermal image data frame are detected, and the positional parameter of the analysis area located in the thermal image data frame is calculated. And then the composition of the analysis area The data is subjected to corresponding scaling and the like, and the obtained constituent data of the analysis region and the positional parameters of the analysis region are used as configuration information.
  • the detected positional parameters of the position, size, inclination angle, and the like of the specific subject thermal image are not limited to the positional parameters of the detection window, for example, further extracting features of the thermal image data in the detection window, for example, extraction
  • the subject contour is used to obtain a more accurate positional parameter, and the analysis area can be set according to the positional parameter.
  • the analysis area setting unit sets the analysis area F1, including the analysis areas S01 and S02, to the thermal image data frame according to the configuration information of the analysis area, for example, the calculation of the position parameter, the corresponding scaling, and the like;
  • the analysis unit analyzes according to the analysis area F1 set by the analysis area setting unit and the corresponding analysis mode 1, and obtains the analysis result; the diagnosis unit, according to the analysis result, the diagnosis rule 1 corresponding to the analysis area F1 and the analysis mode 1 ", to get the diagnosis.
  • the analysis area F1 the analysis result and the display column of the diagnosis result, wherein the difference between the highest temperature of S01 and S02 is 3 ° C, less than 4 ° C, and more than 2 ° C; diagnosis conclusion and comment: attention. Note that the analysis area F1, the analysis result, and the diagnosis result do not have to be displayed.
  • the diagnosis result can be notified, and the notification display unit 10 displays the diagnosis result and the like.
  • the change of the display screen of characters or images (including infrared thermal images, reference images, etc.) in the display unit 10 or the like the light generated by the indicator light in the thermal image device 100, the sound prompt from the speaker, and the vibration component are accompanied by changes. Vibrations, etc., are included as long as they are perceptible by the user.
  • analysis and/or diagnostic results may also be output, such as output from communication interface I/F 4, received by other external devices connected to thermal imaging device 100.
  • the user does not have to manually set the analysis area, the analysis mode, and the diagnostic rule by subjectively judging the morphological characteristics of the subject thermal image, thereby reducing the workload of the analysis area setting operation and reducing the technical difficulty of the analysis area setting. It is convenient to set accurate analysis area, analysis mode, diagnosis rule, quickly obtain the diagnosis result, avoid the harmful effect of shooting the wrong part and angle.
  • the detection unit 8 performs detection processing based on the thermal image data frames continuously acquired by the acquisition unit. For example, all of the continuously acquired thermal image data frames may be sequentially detected. For example, only the thermal image data frames of a predetermined interval may be read.
  • the detection processing is performed; for example, the processing of the thermal image data in the read thermal image data frame or the detection window is reduced, sparse, and the like before the detection; thereby, the detection processing load can be reduced.
  • the configured analysis region, analysis mode, and diagnostic rule are not limited to processing the thermal image data frame in which the specific subject thermal image is detected, and are also used for subsequent newly obtained thermal image data frames such as predetermined time. Analytical diagnosis and other processing.
  • the temporary storage section 2 stores a plurality of frames of thermal image data frames, it can be used to analyze and diagnose a thermal image data frame before the timing of detecting a thermal image data frame having a specific subject thermal image.
  • the above-configured information may be stored in a predetermined area of the temporary storage unit in association with each other; and subsequent processing such as display, analysis, and recording may be facilitated.
  • whether or not a specific subject thermal image is detected is not limited to a comparison between the value of the correlation and the judgment value; for example, it may be replaced with a predetermined information obtained based on the detection and/or a rating based on the prescribed information.
  • the value, the result of comparison with the corresponding judgment value is used as a basis for detecting whether or not a specific subject thermal image is detected.
  • the predetermined information includes at least one of a position, a size, an inclination angle, and a value of a correlation of a specific subject thermal image, or any combination thereof. In this way, for example, The preferred position and size of the thermal image of the subject can improve the quality of the subject's thermal image, thereby further improving the effectiveness of the analysis area setting and improving the photographing quality.
  • the speed of detection can be speeded up, and the display can facilitate the user to understand the range of shooting; when a specific subject thermal image is detected, it can be automatically set.
  • the composition data of the associated analysis area, and the specified positional relationship between the analysis area and the object identification information, to set the analysis area can set an extremely accurate analysis area; can facilitate the next processing and operation of storage, analysis, etc. The problem of the prior art is solved.
  • Embodiment 1 is a preferred embodiment, and of course, it is not necessarily required to achieve all of the advantages described above while implementing any of the embodiments of the present invention.
  • the combination of the same or different analysis areas, analysis modes, and diagnostic rules can be arranged; and the predetermined information obtained by the detecting unit 8 can be determined, for example, according to the regulations obtained by the detection.
  • the corresponding analysis area and/or analysis mode and/or diagnostic rule are configured by the information and/or the evaluation value obtained by the specified information, the correspondence relationship with the analysis area and/or the analysis mode and/or the diagnostic rule.
  • the prescribed information includes at least information of a position, a size, an inclination angle, a correlation value of a specific subject thermal image, one or any combination thereof.
  • the evaluation value obtained by one or more of the specified information and the one or more of the same or different information in the information may be corresponding to the analysis area and/or the analysis mode and/or the diagnostic rule. Relationships to configure the corresponding analysis area and/or analysis mode and/or diagnostic rules.
  • the predetermined information having a direct correspondence with the analysis area and the predetermined information for obtaining the evaluation value may include the same or different information.
  • the respective analysis area and/or analysis mode and/or diagnostic rules may represent analysis areas and/or analysis modes and/or diagnostic rules of the same or different analysis effects, and/or the same Or an analysis area with different display effects.
  • the analysis area and/or analysis mode and/or diagnostic rule of different analysis effects may include, for example, composition data of the analysis area, positional parameters of the analysis area in the thermal image data frame, analysis mode, and diagnostic rules, one of which is different.
  • the analysis area of different display effects may include, for example, a difference in color, line shape, thickness, transparency, content, blinking state, brightness, composition data, and size.
  • the thermal image of the object in the infrared thermal image is taken into consideration, different photographing qualities are corresponding; therefore, preferably, the thermal image of the subject is located in the thermal image.
  • Factors such as position, size, and tilt angle in the data frame are used as factors for configuring the analysis area and/or analysis mode and/or diagnostic rule of the corresponding analysis effect and/or display effect to improve the quality of analysis and diagnosis.
  • analysis configuration information includes at least one or more related configuration information in the analysis area, the analysis area, and the diagnosis rule; for example, different evaluation values correspond to different analysis areas, analysis modes, and combinations of diagnosis rules.
  • the comparison table of the evaluation value and the analysis configuration information assumes that "subject 1" in FIG. 3 corresponds, and different evaluation values correspond to different analysis configuration information; wherein the evaluation value is 80-90% and The evaluation value is 91%-100%, and the analysis configuration information of the analysis area, analysis mode, and diagnosis rule corresponding to the two is different.
  • the specific information in the detected prescribed information may correspond to different coefficients, and the other specified information in the detected prescribed information is combined with the coefficient to obtain an evaluation value;
  • FIG. 11(a) detects the corresponding 0.8 of the window J1
  • FIG. 11(b) detects that the window coefficient of the window J2 is 0.95
  • the evaluation value the value of the correlation degree ⁇ the window coefficient
  • the value of the correlation is combined with the evaluation value of the detection window J1 (for example, converted to 80%), and the analysis region J1 of FIG. 11(a) and the analysis region of FIG. 11(b) are obtained based on the analysis region corresponding to the evaluation value. J2 and analysis area F1, and their respective analysis modes and diagnostic rules.
  • a detection window in which a specific subject thermal image is detected for example, a positional parameter representing a general image of the specific subject, such as a positional parameter that is desired to obtain a more accurate specific subject thermal image, and an embodiment may further By extracting the contour of the specific subject thermal image from the thermal image data corresponding to the detection window, a more accurate evaluation value can be obtained.
  • the weights of different information are used, and the evaluation values are obtained by weighting.
  • the evaluation value may be obtained according to other factors, for example, in combination with the parameters required by the specific industry, in combination with the prescribed information obtained by the detection; the final evaluation value may be obtained by various calculation methods.
  • the evaluation table obtained from the predetermined information and/or the predetermined information and the comparison table between the analysis configuration information are prepared in advance according to the different subjects, and the subject information and the subject identification information in FIG. 3 are prepared. Corresponding storage.
  • Step B01 obtaining a thermal image data frame, for example, the thermal image data frame obtained by the imaging unit 1 is transmitted to the temporary storage unit 2;
  • Step B02 is similar to steps A01 and A03-A06 of Embodiment 1, and the description is omitted;
  • Step B03 the detecting unit 8 obtains the value of the correlation degree of the detection window of the maximum correlation degree in the thermal image data frame and the corresponding position parameter thereof;
  • step B04 if the obtained correlation degree is smaller than the predetermined determination value, the detecting unit 8 determines that the specific subject thermal image is not detected, and proceeds to step B06, and when the correlation degree detected in step B04 is greater than the predetermined determination value, enters Step B05.
  • the analysis unit 6 configures the corresponding value based on the correspondence between the evaluation value and the analysis arrangement information as shown in FIG. 9 based on the obtained evaluation information and the detected position and size of the specific subject thermal image. Analysis area, analysis mode, diagnostic rules;
  • the evaluation value 80% shown in Fig. 11(a) is set to the analysis area J1; the evaluation value shown in Fig. 11(b) is 95%, and the analysis area J2 and the analysis area F1 are set.
  • J1 and J2 are analysis area setting units, and the detection window is set as an analysis area, according to which the analysis area can effectively avoid the influence of other objects in the background on the analysis of the subject thermal image, and F1 For more detailed analysis of the area, for further detailed analysis and diagnosis.
  • the analysis area, the analysis result, the diagnosis result, and the infrared thermal image obtained by the thermal image data frame may be combined and overlapped, and then displayed.
  • step B06 it is judged whether to exit, if it is exited, it ends. If it is not exited, it returns to step B01, and the above processing is repeated.
  • the corresponding analysis region, analysis mode, and diagnostic rule can be automatically set. Improve the quality of the analysis area and analysis mode, prompt the user, and avoid the cumbersome operation of the user settings.
  • Embodiment 3 is different from Embodiments 1 and 2 in that the detecting unit 8 is configured to detect predetermined information of a specific subject thermal image in the thermal image data frame based on the acquired thermal image data frame;
  • the analysis unit 6 arranges the analysis region and/or the analysis mode and/or the diagnosis rule related to the analysis based on the predetermined auxiliary information and the predetermined information that the detection unit 8 detects, and according to the configured analysis region and/or Analyze patterns and/or diagnostic rules for analysis and diagnosis.
  • the evaluation value is obtained based on the predetermined auxiliary information and the predetermined information, and the analysis region and/or the analysis mode and/or the diagnostic rule are arranged based on the comparison table of the evaluation value and the analysis configuration information, and the analysis diagnosis is performed.
  • the analyzing configuration information includes at least one or more related configuration information in an analysis area, an analysis area, and a diagnosis rule;
  • the predetermined information includes at least one of a position, a size, an inclination angle, and a value of a correlation of a specific subject thermal image, or any combination thereof.
  • the auxiliary information may include various factors other than the prescribed information that affect the analysis and diagnosis, and are all within the scope thereof.
  • the auxiliary information includes, for example, at least one of an analysis value, a diagnosis result, an ambient temperature, a background factor, a wind speed, a humidity, a distance, or any combination.
  • the acquired analysis values may be for all pixels in the thermal image data frame or pixels in a particular analysis region; for example, by ambient temperature to obtain ambient temperature; for example, by a hygrometer to obtain humidity; for example, by a rangefinder to obtain a thermal image
  • the auxiliary information may be acquired, for example, according to the auxiliary information stored in advance in the storage medium, for example, historical data of the auxiliary information; or the auxiliary data acquired in combination with the current measurement, and the historical data of the auxiliary information stored in advance in the storage medium.
  • the auxiliary information For example, the auxiliary information set by the user can also be performed.
  • the comprehensive evaluation value is obtained by specifying the information and the auxiliary information; for example, the specific information in the predetermined information or the auxiliary information may be used to correspond to different coefficients, and the other predetermined information or auxiliary information may be combined with the coefficient to obtain the evaluation value.
  • the weight of the specific information may be used to obtain the evaluation value by weighting; for example, obtaining the value of the position, size, inclination angle, auxiliary information, and correlation of the specific subject thermal image, and obtaining the evaluation Value
  • the evaluation value is obtained based on the prescribed information and a comparison table of the auxiliary information and the comprehensive evaluation value.
  • the analysis area and/or the analysis mode and/or the diagnostic rule are then configured based on a correspondence between the evaluation value and the analysis area and/or the analysis mode and/or the diagnostic rule, such as a comparison table of the evaluation value and the analysis configuration information.
  • step C01 the thermal image data frame is acquired, and for example, the thermal image data frame obtained by the imaging unit 1 is transmitted to the temporary storage unit 2.
  • Step C02 the detection processing is similar to the steps A01 and A03-A06 of the first embodiment, and the description is omitted;
  • Step C03 the detecting unit 8 obtains the value of the correlation degree of the detection window of the maximum correlation degree in the thermal image data frame and the corresponding position parameter thereof;
  • step C04 if the correlation obtained by the predetermined number of detection windows is smaller than the predetermined determination value, the detecting unit 8 determines that the specific subject thermal image is not detected, returns to step C01, repeats the subsequent processing, and detects in step C04. If the degree of correlation is greater than the predetermined judgment value, the process proceeds to step C05.
  • Step C05 the analyzing unit 6 configures the corresponding analysis area, the analysis mode, and the diagnosis rule according to the obtained auxiliary information and the predetermined information obtained by the detection;
  • the display interface is as shown in FIG. 14.
  • the analysis area J1 and the corresponding analysis mode and diagnosis rule are set according to the evaluation value of 80%;
  • FIG. 14(b) In the middle, based on the evaluation value of 95%, the analysis area J1 and the corresponding analysis mode and diagnosis rule are set, and the area F1 and the corresponding analysis mode and diagnosis rule are analyzed.
  • the analysis value and the diagnosis result can be obtained by analyzing and diagnosing according to the above analysis region and the analysis mode diagnosis rule.
  • the set analysis area F1 can reduce environmental disturbances such as the reflection of the edge of the surface of the object due to the difference in evaluation values.
  • the auxiliary information is an analysis value obtained by analyzing the analysis component
  • the analysis value is determined based on the analysis value (the highest temperature in the detection window) or in combination with other auxiliary information and predetermined information.
  • it may be configured to go through a plurality of such processes: "Step S1, obtain an evaluation value or an analysis value, such as obtaining an evaluation value according to the prescribed information and the auxiliary information, and step S2 sets the analysis area according to the correspondence relationship in the comparison table.
  • Step S3 obtains the analysis value, and returns to step S1 to repeat steps S1-S3", thereby, until the final analysis area, and the corresponding analysis mode and diagnosis rule are set.
  • the analysis of the thermal image of the subject can be performed in a more detailed manner based on the analysis region set by the evaluation value of 95%.
  • the analysis area (detection window) and its analysis mode are set based on the evaluation values obtained by the auxiliary information other than the analysis value and the predetermined information, and then based on the obtained analysis value and the prescribed value. Compare the comparison values (or find the corresponding comparison table) to determine whether to set the analysis area again.
  • the specified comparison value is 40 ° C (the judgment threshold of whether the subject temperature exceeds the standard).
  • the analysis value the highest temperature in J1
  • Fig. 14 (b) According to the analysis value (the highest temperature in J2) is 50 ° C, the analysis needs to be set again.
  • the region, and then the analysis region F1 set according to the comparison table of the analysis value and the analysis region and the corresponding analysis mode and diagnosis rule; the analysis result and the diagnosis result of the analysis region F1 can be further analyzed in detail.
  • the predetermined information having a direct correspondence relationship with the analysis region and the predetermined information for obtaining the evaluation value may include the same or different information.
  • the auxiliary information having a direct correspondence with the analysis area and the auxiliary information for obtaining the evaluation value may include the same or different information.
  • the analysis area, the analysis mode, and the diagnosis rule can be comprehensively considered, and the cumbersome operation for improving the analysis efficiency and avoiding the user setting can be further achieved.
  • the fourth embodiment has a recording unit for specifying recording information of one or more of an analysis area, an analysis mode, a diagnosis rule, an analysis result, and a diagnosis result set in the above embodiment, and a predetermined thermal image data frame. Associated records.
  • the control unit 11 includes a recording unit (not shown) to perform recording control. For example, based on the detection result of the detecting section 8, in response to the recording instruction, the thermal image data frame to be subjected to the recording processing is selected from the thermal image data frames stored in the temporary storage section 2, and the selected thermal image data frame is performed. Record processing control.
  • the predetermined thermal image data frame is associated with the predetermined recording information for recording.
  • the predetermined thermal image data frame is data obtained by performing predetermined processing on a thermal image data frame obtained by the imaging unit and/or a thermal image data frame obtained by the imaging unit 1 .
  • One or a plurality of kinds of processes such as correction, interpolation, pseudo color, conversion to temperature value, down pixel, compression, and the like are specified.
  • the temporary storage unit 2 specifies the detection of the specific subject thermal image held in the area and sets the thermal image data frame corresponding to the analysis area. Further, the thermal image data frame obtained by the infrared detector reading the signal at the time when the specific subject thermal image is detected (or a predetermined time thereafter) may be determined; or the temporary storage unit 2 may be used. The thermal image data frame with the highest correlation selected in the stored multi-frame thermal image data frame; in addition, a predetermined number of multi-frame thermal image data frames may be recorded; or a predetermined number of multi-frame thermal image data may be used.
  • the specified record information may be the set analysis area and/or the analysis result and/or the diagnosis rule, including the position parameter (position, or also including the size, or also the rotation angle) of the analysis area in the infrared thermal image.
  • the recording unit controls to associate the predetermined recording information with the compressed thermal image data frame, generate a thermal image file to be recorded on the memory card 8, and end the processing.
  • An embodiment of the association record wherein the predetermined record information is added as information of a thermal image data frame of a predetermined format.
  • the association record processing also means that the prescribed record information can be recorded in an information file or an index file associated with the thermal image file, and the recording portion can generate the information file or the index file.
  • the recorded storage medium is not limited to the memory card 8, the flash memory 9, and the like, and may be a network destination that is communicated through the communication unit 4.
  • an analysis region of a predetermined position and a corresponding analysis mode and a diagnosis rule may be prepared in advance, and when a specific subject thermal image is detected, analysis is performed according to the analysis region, an analysis result is obtained, and diagnosis is performed; or The analysis and diagnosis are continuously performed, but the diagnosis result is not notified, and the diagnosis result is notified when a specific subject thermal image is detected.
  • the diagnosis result is notified, for example, the diagnosis result is displayed; for example, the diagnosis result is output through the communication I/F 4; for example, although the analysis and the diagnosis result are displayed, when a specific subject thermal image is detected, a specific notification method is accompanied (for example, at At this time, the analysis and the diagnosis result are accompanied by discoloration, flicker, vibration of the thermal imaging device 100, etc.; for example, although the analysis or diagnosis result is output, However, when a specific subject thermal image is detected, it is accompanied by a specific notification method (for example, the analysis or diagnosis result output at this time is marked).
  • thermal image data frame from the outside
  • a thermal imaging device or a thermal image processing device for example, acquiring a thermal image data frame from other components, and also forming a thermal image data frame.
  • Embodiments of the invention are not limited to photographing or acquiring a thermal image data frame from the outside, and may be used as a constituent component or a functional module in a thermal imaging device or a thermal image processing device, for example, acquiring a thermal image data frame from other components, and also forming a thermal image data frame.
  • a notification unit is preferably provided for notifying (such as display, voice, etc.) diagnostic results such as diagnosis conclusions; other notification methods such as changing the pseudo color of the image to notify the diagnosis result, but also There is no notification department, such as the network destination that communicates the diagnosis result through the communication I/F4.
  • Subject identification information may be a template or feature quantity.
  • the plurality of feature quantities in the corresponding detection window may be calculated according to the plurality of feature quantities of the template, and the determination result is obtained according to the comparison value corresponding to the plurality of feature quantities, for example, according to the plurality of feature quantities. Weighted to get the final judgment result.
  • a comparison result of one of the feature quantities and the infrared thermal image may be first calculated. When the value is greater than a predetermined threshold, the comparison result of the next feature quantity and the infrared thermal image is calculated, and the comparison result is obtained according to multiple comparisons. The final judgment result.
  • an analysis configuration unit an analysis area setting unit, an analysis unit, a diagnosis unit, and the like
  • whether or not the specific subject thermal image is detected is not limited to the comparison between the value of the correlation degree and the judgment value of the correlation degree; and may be modified into, for example, the evaluation value obtained based on the predetermined information obtained by the detection and the predetermined information. And one or more of the evaluation values obtained by the prescribed information and the auxiliary information, or an evaluation value obtained by combining the auxiliary information and the auxiliary information, one or more of which is compared with the prescribed judgment value. Decide whether a specific subject thermal image is detected. Preferably, whether a specific subject thermal image is detected is determined based on the detected position, size, tilt angle, value of the correlation, and/or the evaluation value obtained by the information, compared with the specific comparison value.
  • a display control unit for controlling an infrared thermal image obtained by displaying the acquired thermal image data frame and a reference image at a predetermined position; and a detecting unit for detecting based on the acquired thermal image data frame Whether there is a specific subject thermal image; the analysis configuration portion, the configured analysis region, and the analysis region are configured according to an object having a predetermined positional relationship with the reference image (for example, an analysis region associated with the reference image. As shown in FIG.
  • the detection region J15 may also be set according to the positional parameter of the reference image T15 located in the infrared thermal image (for example, according to the outer rectangle of the reference image, the predetermined ratio is obtained Detection area); and user-friendly Shooting according to the position and size and morphological features of the reference image T1 speeds up the detection process and ensures the quality of the shooting.
  • the corresponding subject identification information can be prepared, for example, the reference image T15 can also be used as a template for the detection process.
  • control unit 11 the image processing unit 7, the analysis unit 6, and the like include a plurality of processors, there may be parallel processing to which some steps are applied.
  • the analysis configuration step is configured to configure one or more of the following according to the specified information obtained by the detecting step: the constituent data, the position parameter of the analysis area, the analysis mode, and the diagnosis rule.
  • Embodiments of the present invention also provide a readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer in the thermal image device to perform the above steps.
  • the functional blocks in the drawings may be implemented by hardware, software modules, or a combination thereof, it is generally not necessary to provide a one-to-one correspondence to implement the structure of the functional blocks.
  • a block of multiple functions can be implemented by one software or hardware module.
  • a block of functionality can be implemented by multiple software or hardware units.
  • the processing and control functions of some or all of the functional portions of the embodiments of the present invention may also be implemented by a dedicated circuit or a general purpose processor or a programmable FPGA.

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Abstract

L'invention porte sur un dispositif d'analyse et sur un procédé d'analyse, lesquels concernent le domaine d'application des analyses d'image thermique. Pour un dispositif d'image thermique selon l'état de la technique, une image thermique doit être observée en fonction de l'expérience subjective d'un utilisateur pendant le tir ; en variante, une région d'analyse, un mode d'analyse et une règle de diagnostic pour une image thermique d'un objet tiré sont établis manuellement, de façon à obtenir ainsi des résultats d'analyse et de diagnostic. Ce dispositif d'analyse peut établir automatiquement une région d'analyse, un mode d'analyse et une règle de diagnostic pour une image thermique d'un objet tiré en fonction de l'information prescrite détectée concernant l'image thermique de l'objet tiré spécifique, ou effectuer un processus d'analyse et de diagnostic, et, également, rendre l'opération de tir simple et accroître la précision d'analyse et de diagnostic, de façon à être ainsi bénéfique pour le traitement ou les opérations de réalisation ultérieure d'analyse, de diagnostic, d'enregistrement, etc..
PCT/CN2014/095438 2013-12-29 2014-12-29 Dispositif d'analyse et procédé d'analyse WO2015096824A1 (fr)

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