阅读说明：本技术 实时防暴力开启方法 (Real-time violence-proof opening method ) 是由 余海军 于 2019-01-14 设计创作，主要内容包括：本发明涉及一种实时防暴力开启方法,该方法包括提供一种实时防暴力开启平台来进行实时防暴力监控,所述实时防暴力开启平台包括：实时报警设备,与类型分析设备连接,用于在指令触发图像中存在老虎钳目标,进行相应的实时报警操作；枪型成像设备,设置在有功电能表的对面墙壁上,用于对墙壁前方场景进行成像处理,以获得对应的墙壁前方图像；仿射变换设备,与所述枪型成像设备连接,用于接收墙壁前方图像。本发明的实时防暴力开启平台设计简单、运行可靠。(The invention relates to a real-time anti-violence opening method, which comprises the steps of providing a real-time anti-violence opening platform for real-time anti-violence monitoring, wherein the real-time anti-violence opening platform comprises: the real-time alarm equipment is connected with the type analysis equipment and is used for carrying out corresponding real-time alarm operation when a vice target exists in the instruction trigger image; the gun-shaped imaging device is arranged on the opposite wall of the active electric energy meter and is used for imaging a scene in front of the wall so as to obtain a corresponding image in front of the wall; and the affine transformation device is connected with the gun type imaging device and is used for receiving the front image of the wall. The real-time violence-proof opening platform is simple in design and reliable in operation.)

1. A real-time anti-violence initiation method, the method comprising providing a real-time anti-violence initiation platform for real-time anti-violence monitoring, the real-time anti-violence initiation platform comprising:

the real-time alarm equipment is connected with the type analysis equipment and is used for carrying out corresponding real-time alarm operation when a vice target exists in the instruction trigger image;

the gun-shaped imaging device is arranged on the opposite wall of the active electric energy meter and is used for imaging a scene in front of the wall so as to obtain a corresponding image in front of the wall;

the affine transformation device is connected with the gun-shaped imaging device and used for receiving an image in front of a wall, evenly dividing the image in front of the wall into blocks with the sizes of the corresponding blocks based on the distance between the average brightness of the image in front of the wall and a preset brightness range center value, selecting affine transformations with different corresponding forces based on pixel value variances of the blocks for each block to obtain affine transformation blocks, and splicing the obtained affine transformation blocks to obtain an affine processing image;

the object extraction equipment is connected with the affine transformation equipment and used for receiving the affine processing image, extracting each object in the affine processing image to obtain corresponding object sub-images, wherein each object sub-image only comprises each pixel point forming the corresponding object, and each contour pixel point forming the contour of the corresponding object is determined based on each object sub-image;

the contour analysis device is connected with the target extraction device and used for receiving contour pixel points corresponding to each target sub-image in the affine processing image, accumulating the contour pixel points corresponding to each target sub-image in the affine processing image to obtain a total number of contour points and outputting the total number of contour points;

the filtering trigger equipment is connected with the contour analysis equipment and used for receiving the total number of the contour points, sending a first trigger signal when the total number of the contour points does not exceed a preset point threshold value, and sending a second trigger signal when the total number of the contour points exceeds the preset point threshold value;

the composite processing device is respectively connected with the filtering triggering device and the target extracting device, comprises a logarithm operation unit, a Fourier transform unit, a high-pass filtering unit, an inverse Fourier transform unit and an index operation unit, and is used for sequentially performing logarithm operation, Fourier transform, high-pass filtering, inverse Fourier transform and index operation on the affine processing image when the first processing device receives the first triggering signal so as to obtain and output a signal conversion image corresponding to the affine processing image;

the single processing device is respectively connected with the filtering triggering device and the target extracting device and is used for executing spatial domain smoothing filtering processing on the affine processing image when receiving the first triggering signal so as to obtain a signal conversion image corresponding to the affine processing image;

the power management equipment is respectively connected with the composite processing equipment and the single processing equipment and is used for controlling the power supply to the composite processing equipment or the single processing equipment when the composite processing equipment or the single processing equipment enters a power saving mode;

the nonuniformity measuring device is respectively connected with the single processing device and the complex processing device and used for receiving the signal conversion image and performing nonuniformity analysis on the signal conversion image to obtain a first nonuniformity parameter and receiving the Lena graph and performing nonuniformity analysis on the Lena graph to obtain a second nonuniformity parameter;

a parameter comparison device connected with the nonuniformity measurement device and used for receiving the first nonuniformity parameter and the second nonuniformity parameter, issuing a first control instruction when the second nonuniformity parameter is larger than or equal to the first nonuniformity parameter, issuing a third control instruction when the first nonuniformity parameter is more than three times of the second nonuniformity parameter, and issuing a second control instruction when the first nonuniformity parameter is between three times and two times of the second nonuniformity parameter;

the instruction triggering device is connected with the parameter comparison device and used for activating the median smoothing device to perform median smoothing on the signal conversion image and obtain and output a corresponding instruction triggering image when the second control instruction is received, and also used for activating the weighted mean smoothing device to perform weighted mean smoothing on the signal conversion image and obtain and output a corresponding instruction triggering image when the third control instruction is received;

the instruction triggering device is further used for outputting the signal conversion image as an instruction triggering image when the first control instruction is received;

a median smoothing device for performing median smoothing processing on the input image in an active state and stopping the median smoothing processing on the input image in an inactive state;

a weighted mean smoothing device for performing a weighted mean smoothing process on the input image in an active state and stopping the weighted mean smoothing process on the input image in an inactive state;

the characteristic analysis equipment is connected with the instruction triggering equipment and used for receiving the instruction triggering image, acquiring the area of each object pattern in the instruction triggering image, taking the object pattern with the area close to the area threshold of the pincer pliers as a to-be-processed sub-image, carrying out shape analysis on the to-be-processed sub-image to obtain a plurality of geometric characteristics of an object in the to-be-processed sub-image, and respectively carrying out normalization processing on the geometric characteristics to obtain a plurality of normalized characteristics;

and the type analysis equipment is connected with the feature analysis equipment and used for receiving the plurality of normalized features, inputting the plurality of normalized features into a multi-input single-output deep neural network which is trained and tested in advance, and obtaining the output object type to determine whether the vise target exists in the instruction trigger image, wherein the number of the plurality of normalized features is the same as the number of the input parameters of the deep neural network.

2. The method of claim 1, wherein the platform further comprises:

and the power line communication interface is connected with the instruction triggering device and used for receiving the instruction triggering image and sending the instruction triggering image through a power line communication link.

3. The method of claim 2, wherein:

in the composite processing apparatus, the fourier transform unit is connected to the logarithm operation unit and the high-pass filter unit, the inverse fourier transform unit is connected to the high-pass filter unit, and the exponential operation unit is connected to the inverse fourier transform unit.

4. The method of claim 3, wherein:

and the composite processing equipment switches from an operating mode to a power saving mode when receiving the second trigger signal.

5. The method of claim 4, wherein:

and the single processing equipment switches from an operating mode to a power saving mode when receiving the first trigger signal.

6. The method of claim 5, wherein:

the preset brightness range is a brightness range limited by a preset brightness upper threshold and a preset brightness lower threshold, and the preset brightness upper threshold is larger than the preset brightness lower threshold.

7. The method of claim 6, wherein:

in the affine transformation device, the closer the average luminance of the wall front image is to the preset luminance range center value, the larger the respective blocks into which the wall front image is equally divided.

8. The method of claim 7, wherein:

in the affine transformation device, for each block, the greater the degree of torsion of the block, the greater the strength of the selected affine transformation.

9. The method of any of claims 1-8, wherein:

the real-time alarm equipment is also used for stopping corresponding real-time alarm operation when the vice target does not exist in the instruction trigger image.

Technical Field

The invention relates to the field of active electric energy meters, in particular to a real-time violence-proof starting method.

Background

The reference voltage is a voltage value for determining relevant characteristics of the electric energy meter and is an operating voltage of the electric energy meter, and is represented by a phase number multiplied by a line voltage for a three-phase three-wire electric energy meter, such as 3 × 100V, a phase number multiplied by a phase voltage/line voltage for a three-phase four-wire electric energy meter, such as 3 × 220/380V, and a phase voltage for a single-phase electric energy meter, such as 220V.

The electric energy meter constant is a constant of the relation between the electric energy recorded by the electric energy meter and the corresponding revolution number or pulse number, the active electric energy meter is expressed in the form of r (imp)/kwh or kwh/r (imp), and the reactive electric energy meter is expressed in the form of r (imp)/kvarh or kvarh/r (imp). The two constants are reciprocal.

Disclosure of Invention

The invention aims to provide a real-time anti-violence opening method, which comprises the steps of providing a real-time anti-violence opening platform for real-time anti-violence monitoring, wherein the real-time anti-violence opening platform comprises:

the real-time alarm equipment is connected with the type analysis equipment and is used for carrying out corresponding real-time alarm operation when a vice target exists in the instruction trigger image;

the gun-shaped imaging device is arranged on the opposite wall of the active electric energy meter and is used for imaging a scene in front of the wall so as to obtain a corresponding image in front of the wall;

the affine transformation device is connected with the gun-shaped imaging device and used for receiving an image in front of a wall, evenly dividing the image in front of the wall into blocks with the sizes of the corresponding blocks based on the distance between the average brightness of the image in front of the wall and a preset brightness range center value, selecting affine transformations with different corresponding forces based on pixel value variances of the blocks for each block to obtain affine transformation blocks, and splicing the obtained affine transformation blocks to obtain an affine processing image;

the object extraction equipment is connected with the affine transformation equipment and used for receiving the affine processing image, extracting each object in the affine processing image to obtain corresponding object sub-images, wherein each object sub-image only comprises each pixel point forming the corresponding object, and each contour pixel point forming the contour of the corresponding object is determined based on each object sub-image;

the contour analysis device is connected with the target extraction device and used for receiving contour pixel points corresponding to each target sub-image in the affine processing image, accumulating the contour pixel points corresponding to each target sub-image in the affine processing image to obtain a total number of contour points and outputting the total number of contour points;

the filtering trigger equipment is connected with the contour analysis equipment and used for receiving the total number of the contour points, sending a first trigger signal when the total number of the contour points does not exceed a preset point threshold value, and sending a second trigger signal when the total number of the contour points exceeds the preset point threshold value;

and the composite processing device is respectively connected with the filtering triggering device and the target extracting device, comprises a logarithm operation unit, a Fourier transform unit, a high-pass filtering unit, an inverse Fourier transform unit and an index operation unit, and is used for sequentially performing logarithm operation, Fourier transform, high-pass filtering, inverse Fourier transform and index operation on the affine processing image when the first processing device receives the first triggering signal so as to obtain and output a signal conversion image corresponding to the affine processing image.

The invention at least needs to have the following key invention points:

(1) arranging camera equipment on the opposite wall of the active electric energy meter, carrying out high-precision detection on whether a vice target exists in an image obtained after the targeted image processing, and determining whether to carry out corresponding real-time alarm operation in time based on a detection result;

(2) respectively extracting nonuniformity parameters of the image to be processed and the standard image, and performing numerical analysis on the obtained nonuniformity parameters to select a self-adaptive smoothing strategy for completing self-adaptive smoothing of the image to be processed;

(3) the method comprises the steps of judging the total number of contour pixel points in an image to be processed by extracting and analyzing a target in the image to be processed, avoiding using a filter with a poor contour filtering effect when the number of the contour pixel points in the image to be processed is too large, selecting an airspace smooth filtering mode, and selecting and using a fine filtering mode with a better low-frequency suppression effect when the number of the contour pixel points in the image to be processed is not large.

The real-time violence-proof opening platform is simple in design and reliable in operation. On the basis of customized image processing, timely early warning operation is carried out when a vice target exists between the active electric energy meter and the front wall, so that the situation that internal key parts and malicious modification data are stolen by thieves in the use of the active electric energy meter is avoided, and the safety of the active electric energy meter is improved.

Drawings

Fig. 1 is a configuration view of a gun type image forming apparatus for a real time violence opening prevention platform according to the present invention.

Detailed Description

The active electric energy meter is a meter for measuring active electric energy by integrating active power with time.

Classification of the active electric energy meter: the single-phase meter generally has only 4 wiring terminals, 2 in and 2 out; three-phase meters typically have 10 terminals, 3 in and 3 out, and a neutral line.

The working voltage of the three-phase four-wire active (reactive) electric energy meter is 57.7/100 volts or 220/380 volts; the working voltage of the three-phase three-wire active (reactive) electric energy meter is 100 volts or 380 volts.

Need be prevented in the use of active electric energy meter by the condition that inside key part and maliciously modify data were stolen to the personnel of stealing, however, in prior art, just simply place active electric energy meter in the ammeter cabinet, protect through the hasp mode, current operation unit and staff's demand has not been satisfied to this kind of simple protection mode.

In order to overcome the defects, the invention provides a real-time violence-proof opening method which comprises the step of providing a real-time violence-proof opening platform for real-time violence-proof monitoring, and the real-time violence-proof opening platform effectively solves the technical problems.

The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.

Fig. 1 is a configuration view of a gun type image forming apparatus for a real time violence opening prevention platform according to the present invention.

The invention discloses a real-time violence-proof opening platform, which comprises:

the real-time alarm equipment is connected with the type analysis equipment and is used for carrying out corresponding real-time alarm operation when a vice target exists in the instruction trigger image;

the gun-shaped imaging device is arranged on the opposite wall of the active electric energy meter and is used for imaging a scene in front of the wall so as to obtain a corresponding image in front of the wall;

the affine transformation device is connected with the gun-shaped imaging device and used for receiving an image in front of a wall, evenly dividing the image in front of the wall into blocks with the sizes of the corresponding blocks based on the distance between the average brightness of the image in front of the wall and a preset brightness range center value, selecting affine transformations with different corresponding forces based on pixel value variances of the blocks for each block to obtain affine transformation blocks, and splicing the obtained affine transformation blocks to obtain an affine processing image;

the object extraction equipment is connected with the affine transformation equipment and used for receiving the affine processing image, extracting each object in the affine processing image to obtain corresponding object sub-images, wherein each object sub-image only comprises each pixel point forming the corresponding object, and each contour pixel point forming the contour of the corresponding object is determined based on each object sub-image;

the contour analysis device is connected with the target extraction device and used for receiving contour pixel points corresponding to each target sub-image in the affine processing image, accumulating the contour pixel points corresponding to each target sub-image in the affine processing image to obtain a total number of contour points and outputting the total number of contour points;

the filtering trigger equipment is connected with the contour analysis equipment and used for receiving the total number of the contour points, sending a first trigger signal when the total number of the contour points does not exceed a preset point threshold value, and sending a second trigger signal when the total number of the contour points exceeds the preset point threshold value;

the composite processing device is respectively connected with the filtering triggering device and the target extracting device, comprises a logarithm operation unit, a Fourier transform unit, a high-pass filtering unit, an inverse Fourier transform unit and an index operation unit, and is used for sequentially performing logarithm operation, Fourier transform, high-pass filtering, inverse Fourier transform and index operation on the affine processing image when the first processing device receives the first triggering signal so as to obtain and output a signal conversion image corresponding to the affine processing image;

the single processing device is respectively connected with the filtering triggering device and the target extracting device and is used for executing spatial domain smoothing filtering processing on the affine processing image when receiving the first triggering signal so as to obtain a signal conversion image corresponding to the affine processing image;

the power management equipment is respectively connected with the composite processing equipment and the single processing equipment and is used for controlling the power supply to the composite processing equipment or the single processing equipment when the composite processing equipment or the single processing equipment enters a power saving mode;

the nonuniformity measuring device is respectively connected with the single processing device and the complex processing device and used for receiving the signal conversion image and performing nonuniformity analysis on the signal conversion image to obtain a first nonuniformity parameter and receiving the Lena graph and performing nonuniformity analysis on the Lena graph to obtain a second nonuniformity parameter;

a parameter comparison device connected with the nonuniformity measurement device and used for receiving the first nonuniformity parameter and the second nonuniformity parameter, issuing a first control instruction when the second nonuniformity parameter is larger than or equal to the first nonuniformity parameter, issuing a third control instruction when the first nonuniformity parameter is more than three times of the second nonuniformity parameter, and issuing a second control instruction when the first nonuniformity parameter is between three times and two times of the second nonuniformity parameter;

the instruction triggering device is connected with the parameter comparison device and used for activating the median smoothing device to perform median smoothing on the signal conversion image and obtain and output a corresponding instruction triggering image when the second control instruction is received, and also used for activating the weighted mean smoothing device to perform weighted mean smoothing on the signal conversion image and obtain and output a corresponding instruction triggering image when the third control instruction is received;

the instruction triggering device is further used for outputting the signal conversion image as an instruction triggering image when the first control instruction is received;

a median smoothing device for performing median smoothing processing on the input image in an active state and stopping the median smoothing processing on the input image in an inactive state;

a weighted mean smoothing device for performing a weighted mean smoothing process on the input image in an active state and stopping the weighted mean smoothing process on the input image in an inactive state;

the characteristic analysis equipment is connected with the instruction triggering equipment and used for receiving the instruction triggering image, acquiring the area of each object pattern in the instruction triggering image, taking the object pattern with the area close to the area threshold of the pincer pliers as a to-be-processed sub-image, carrying out shape analysis on the to-be-processed sub-image to obtain a plurality of geometric characteristics of an object in the to-be-processed sub-image, and respectively carrying out normalization processing on the geometric characteristics to obtain a plurality of normalized characteristics;

and the type analysis equipment is connected with the feature analysis equipment and used for receiving the plurality of normalized features, inputting the plurality of normalized features into a multi-input single-output deep neural network which is trained and tested in advance, and obtaining the output object type to determine whether the vise target exists in the instruction trigger image, wherein the number of the plurality of normalized features is the same as the number of the input parameters of the deep neural network.

Next, the detailed structure of the real-time violence-proof opening platform of the present invention will be further described.

The real-time violence-proof opening platform can further comprise:

and the power line communication interface is connected with the instruction triggering device and used for receiving the instruction triggering image and sending the instruction triggering image through a power line communication link.

Among the real-time anti-riot opening platform:

in the composite processing apparatus, the fourier transform unit is connected to the logarithm operation unit and the high-pass filter unit, the inverse fourier transform unit is connected to the high-pass filter unit, and the exponential operation unit is connected to the inverse fourier transform unit.

Among the real-time anti-riot opening platform:

and the composite processing equipment switches from an operating mode to a power saving mode when receiving the second trigger signal.

Among the real-time anti-riot opening platform:

and the single processing equipment switches from an operating mode to a power saving mode when receiving the first trigger signal.

Among the real-time anti-riot opening platform:

the preset brightness range is a brightness range limited by a preset brightness upper threshold and a preset brightness lower threshold, and the preset brightness upper threshold is larger than the preset brightness lower threshold.

Among the real-time anti-riot opening platform:

in the affine transformation device, the closer the average luminance of the wall front image is to the preset luminance range center value, the larger the respective blocks into which the wall front image is equally divided.

Among the real-time anti-riot opening platform:

in the affine transformation device, for each block, the greater the degree of torsion of the block, the greater the strength of the selected affine transformation.

Among the real-time anti-riot opening platform:

the real-time alarm equipment is also used for stopping corresponding real-time alarm operation when the vice target does not exist in the instruction trigger image.

In addition, Power line Carrier Power L ine Carrier-P L C communication is a special communication mode for voice or data transmission by using Power lines as information transmission media, Power lines are generally classified into high, medium and low 3 types in the Power Carrier field, generally, a high voltage Power line refers to a voltage class of 35kV or more, a medium voltage Power line refers to a voltage class of 10kV, and a low voltage distribution line refers to a 380/220V subscriber line.

The Power line Carrier (P L C, Power L ine Carrier) is a communication mode specific to a Power system, and the Power line Carrier communication is a technology for carrying out high-speed transmission on analog or digital signals by using the existing Power line in a Carrier mode.

The power line carrier technology breaks through the limitation of being limited to the application of a single chip microcomputer, has entered the digital era, and with the continuous development of the power line carrier technology and the social needs, the technical development and application of medium/low voltage power line carrier communication are still emerging. The power line carrier communication is a popular specialty in the field of power communication, which is seen by foreign media and is gradually becoming unearthed Jinshan.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.