CN111445680A - Wireless data uploading method for electric energy meter - Google Patents
Wireless data uploading method for electric energy meter Download PDFInfo
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- CN111445680A CN111445680A CN201910038081.7A CN201910038081A CN111445680A CN 111445680 A CN111445680 A CN 111445680A CN 201910038081 A CN201910038081 A CN 201910038081A CN 111445680 A CN111445680 A CN 111445680A
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/063—Details of electronic electricity meters related to remote communication
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Abstract
The invention relates to a wireless data uploading method which comprises the step of wirelessly uploading data by using a wireless data uploading mechanism. The wireless data uploading mechanism of the invention saves resources and is convenient to use. Only when the electric energy meter has a human body target between the opposite walls, the compressed field data is uploaded to the remote monitoring server, so that the operation power consumption and the operation resources of the field equipment are saved, and the uploading efficiency of the wireless data is improved.
Description
Technical Field
The invention relates to the field of electric energy meters, in particular to a wireless data uploading method for an electric energy meter.
Background
When the electric energy meter is connected to a circuit to be tested, alternating currents flow through the current coil and the voltage coil, and the alternating currents respectively generate alternating magnetic fluxes in iron cores of the alternating currents and the voltage coil; the alternating magnetic flux passes through the aluminum plate, and eddy current is induced in the aluminum plate; the eddy currents are acted upon by a force in the magnetic field, so that the aluminum disk is rotated by a torque (main torque). The greater the power consumed by the load, the greater the current through the current coil, and the greater the eddy currents induced in the aluminum disk, the greater the torque that causes the aluminum disk to rotate. I.e. the magnitude of the torque is proportional to the power consumed by the load. The higher the power, the higher the torque and the faster the aluminum disc rotates. When the aluminum disc rotates, the aluminum disc is acted by the braking torque generated by the permanent magnet, and the direction of the braking torque is opposite to that of the active torque; the magnitude of the braking torque is in direct proportion to the rotating speed of the aluminum disc, and the faster the aluminum disc rotates, the larger the braking torque is. When the main torque and the braking torque reach temporary balance, the aluminum disc rotates at a constant speed. The power consumed by the load is proportional to the number of revolutions of the aluminum disk. When the aluminum disc rotates, the counter is driven to indicate the consumed electric energy. This is a simple process of operation of the electric energy meter.
Disclosure of Invention
The invention aims to provide a wireless data uploading method, which comprises the following steps of wirelessly uploading data by using a wireless data uploading mechanism, wherein the wireless data uploading mechanism comprises: the electric energy meter main part includes wireless communication interface, aluminium system disc, gear, meter counter and protection dustcoat, the aluminium system disc the gear with the meter counter all sets up in the protection dustcoat.
More specifically, in the wireless data upload mechanism: in the computer watch body, the counter comprises a drum, the shaft of the aluminium disc driving a gear to rotate the drum.
More specifically, in the wireless data upload mechanism: in the computer watch main body, the wireless communication interface is arranged on the protective housing and is used for being connected with a remote power supply server.
More specifically, in the wireless data uploading mechanism, the mechanism further includes: the button capturing device is arranged opposite to the protective outer cover and used for capturing a scene between the protective outer cover and the button capturing device to obtain an instant capturing image; the image restoration device is connected with the button snapping device and used for receiving the instant snapping image, equally dividing the instant snapping image into blocks with the sizes of the corresponding blocks based on the distance between the average brightness of the instant snapping image and the central value of a preset brightness range, selecting corresponding images with different strengths for each block based on the image degradation degree of the block to restore so as to obtain restored blocks, and splicing the obtained restored blocks so as to obtain a restored spliced image; the TF storage equipment is connected with the data processing equipment and is used for pre-storing a filtering mode corresponding to a morphological filter required to be used by the data processing equipment and a filtering mode corresponding to a homomorphic filter; the color acquisition equipment is connected with the image restoration equipment and used for receiving the restored spliced image, acquiring a red channel value of each pixel point in the restored spliced image, taking each pixel point in the restored spliced image as a pixel point to be measured, and acquiring each red channel value of each pixel point around the pixel point to be measured; and the gradient measuring equipment is connected with the color collecting equipment and used for determining gradient values of all directions of the pixel points to be measured based on all red channel values of all pixel points around the pixel points to be measured, determining the pixel points to be measured as outer-edge pixel points when gradient values with amplitude exceeding limits exist in the gradient values of all directions, and determining the pixel points to be measured as inner pixel points when gradient values with amplitude exceeding limits do not exist in the gradient values of all directions.
The invention has at least the following key invention points:
(1) only when the electric energy meter has a human body target between the opposite walls, the compressed field data is uploaded to the remote monitoring server, so that the operation power consumption and the operation resources of field equipment are saved;
(2) in order to make up for the defect that the homomorphic filter destroys the outer edge information of the target in the image, the outer edge part and the inner part of the image are identified in a gradient analysis mode so as to adopt different filtering strategies for the outer edge part and the inner part of the image, thereby reducing the damage of the homomorphic filter to the outer edge information of the target in the image;
(3) respectively extracting signal-to-noise ratio parameters of the image to be processed and the standard image, and performing numerical analysis on the obtained signal-to-noise ratio parameters to select a self-adaptive two-dimensional wavelet denoising strategy for completing self-adaptive denoising processing of the image to be processed.
The wireless data uploading mechanism of the invention saves resources and is convenient to use. Only when the electric energy meter has a human body target between the opposite walls, the compressed field data is uploaded to the remote monitoring server, so that the operation power consumption and the operation resources of the field equipment are saved, and the uploading efficiency of the wireless data is improved.
Detailed Description
The electric energy meter belongs to an electric component far away from an electric power management department, and important monitoring needs to be carried out, for example, video acquisition equipment above the electric energy meter is adopted to carry out continuous and uninterrupted image shooting on the environment where the electric energy meter is located, and a large number of shot field images are transmitted back to the electric power management department in a wireless or wired communication mode.
Currently, a shooting and uploading mode is generally adopted for on-site monitoring data of an electric energy meter, however, the mode is a waste of resources and an abuse of concerns for non-dangerous scenes, so that the time and data amount for uploading images need to be mastered, and meanwhile, a current image processing mechanism still has a space for further optimization.
In order to overcome the above disadvantages, the present invention provides a wireless data uploading method, which includes using a wireless data uploading mechanism to upload data wirelessly, where the wireless data uploading mechanism can effectively solve the corresponding technical problem.
The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
A wireless data upload mechanism comprising:
the electric energy meter main part includes wireless communication interface, aluminium system disc, gear, meter counter and protection dustcoat, the aluminium system disc the gear with the meter counter all sets up in the protection dustcoat.
Next, a specific configuration of the wireless data upload mechanism of the present invention will be further described.
In the wireless data uploading mechanism:
in the computer watch body, the counter comprises a drum, the shaft of the aluminium disc driving a gear to rotate the drum.
In the wireless data uploading mechanism:
in the computer watch main body, the wireless communication interface is arranged on the protective housing and is used for being connected with a remote power supply server.
In the wireless data uploading mechanism, the mechanism further includes:
the button capturing device is arranged opposite to the protective outer cover and used for capturing a scene between the protective outer cover and the button capturing device to obtain an instant capturing image;
the image restoration device is connected with the button snapping device and used for receiving the instant snapping image, equally dividing the instant snapping image into blocks with the sizes of the corresponding blocks based on the distance between the average brightness of the instant snapping image and the central value of a preset brightness range, selecting corresponding images with different strengths for each block based on the image degradation degree of the block to restore so as to obtain restored blocks, and splicing the obtained restored blocks so as to obtain a restored spliced image;
the TF storage equipment is connected with the data processing equipment and is used for pre-storing a filtering mode corresponding to a morphological filter required to be used by the data processing equipment and a filtering mode corresponding to a homomorphic filter;
the color acquisition equipment is connected with the image restoration equipment and used for receiving the restored spliced image, acquiring a red channel value of each pixel point in the restored spliced image, taking each pixel point in the restored spliced image as a pixel point to be measured, and acquiring each red channel value of each pixel point around the pixel point to be measured;
the gradient measuring equipment is connected with the color collecting equipment and used for determining gradient values of all directions of the pixel points to be measured based on all red channel values of all pixel points around the pixel points to be measured, determining the pixel points to be measured as outer-edge pixel points when gradient values with over-limit amplitudes exist in the gradient values of all directions, and determining the pixel points to be measured as inner pixel points when gradient values with over-limit amplitudes do not exist in the gradient values of all directions;
the pattern classification device is connected with the gradient measurement device and is used for determining one or more patterns formed by all the outer edge pixel points as one or more outer edge patterns and determining one or more patterns formed by all the inner pixel points as one or more inner patterns;
the data processing equipment is connected with the pattern classification equipment and used for receiving the one or more outer edge patterns and the one or more inner patterns, filtering each outer edge pattern by adopting a morphological filter to obtain a corresponding outer edge processing pattern, and filtering each inner pattern by adopting a homomorphic filter to obtain a corresponding inner processing pattern;
the pattern combining device is connected with the data processing device and is used for receiving one or more outer edge processing patterns and one or more inner processing patterns output by the data processing device and combining the one or more outer edge processing patterns and the one or more inner processing patterns to obtain a combined image corresponding to the restored spliced image;
the first parameter acquisition equipment is connected with the pattern merging equipment and used for receiving the merged image and performing ambiguity resolution on the merged image to obtain a first signal-to-noise ratio parameter;
the second parameter acquisition device is used for receiving the Raina diagram and performing signal-to-noise ratio analysis on the Raina diagram to obtain a second signal-to-noise ratio parameter;
the parameter comparison device is respectively connected with the first parameter acquisition device and the second parameter acquisition device and is used for receiving the first signal-to-noise ratio parameter and the second signal-to-noise ratio parameter, sending a first control instruction when the second signal-to-noise ratio parameter is larger than or equal to the first signal-to-noise ratio parameter, sending a third control instruction when the first signal-to-noise ratio parameter is more than three times of the second signal-to-noise ratio parameter, and sending a second control instruction when the first signal-to-noise ratio parameter is between three times and two times of the second signal-to-noise ratio parameter;
the selection processing device is connected with the parameter comparison device and used for activating the two-dimensional wavelet denoising device to perform single two-dimensional wavelet denoising processing on the merged image and obtain and output a corresponding selection processing image when the second control instruction is received, and also used for activating the two-dimensional wavelet denoising device to perform multi-time two-dimensional wavelet denoising processing on the merged image and obtain and output a corresponding selection processing image when the third control instruction is received;
the selection processing device is further used for outputting the merged image as a selection processing image when the first control instruction is received;
a two-dimensional wavelet denoising device for performing one or more times of two-dimensional wavelet denoising processing on an input image in an active state and stopping the one or more times of two-dimensional wavelet denoising processing on the input image in an inactive state;
the area analysis equipment is connected with the selection processing equipment and used for receiving the selection processing image, identifying a human body target in the selection processing image based on the gray threshold range of the human body image so as to obtain a corresponding human body target area, and sending a human body acquisition signal when the number of pixel points occupied by the human body target area exceeds the limit, or sending a human body non-acquisition signal;
the wireless communication interface is connected with the area analysis equipment and used for wirelessly sending the selective processing image to a remote power supply server when receiving the human body acquisition signal;
wherein, in the wireless communication interface, the power supply server that wirelessly transmits the selection processing image to a remote end includes: and performing compression coding on the selected processing image and then wirelessly transmitting the selected processing image to a remote power supply server.
In the wireless data uploading mechanism, the mechanism further includes:
and the SGRAM storage chip is connected with the selective processing equipment and is used for receiving the selectively processed image and temporarily storing the selectively processed image.
In the wireless data uploading mechanism:
in the pattern merging device, merging the one or more outer processed patterns and the one or more inner processed patterns to obtain a merged image corresponding to the restored stitched image comprises: and carrying out pixel value fusion on pixel points at the splicing positions between the one or more outer edge processing patterns and the one or more inner edge processing patterns to obtain a combined image corresponding to the restored spliced image.
In the wireless data uploading mechanism:
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.
In the wireless data uploading mechanism:
in the image restoration device, the closer the average brightness of the instant snapshot image is to the center value of the preset brightness range, the larger the corresponding block into which the instant snapshot image is equally divided becomes.
In the wireless data uploading mechanism:
in the image restoration device, for each block, the greater the degree of image degradation of the block, the greater the strength of selected image restoration.
In the wireless data uploading mechanism:
in the pattern classification device, determining one or more patterns composed of the edge pixels as one or more edge patterns includes: when the outer edge pixel points occupied by the outer edge patterns are smaller than or equal to a first quantity threshold value, deleting the outer edge pixel points from the one or more outer edge patterns;
wherein, in the pattern classification device, determining one or more patterns composed of each internal pixel point as one or more internal patterns includes: when the internal pixel points occupied by the internal patterns are less than or equal to a second preset number threshold, deleting the internal pixel points from the one or more internal patterns;
wherein, in the pattern classification device, the first number threshold is smaller than the second number threshold.
In addition, the SGRAM is an abbreviation of Synchronous Graphics DRAM, which means that the Synchronous Graphics RAM is a video memory specially designed for a video card, is a video memory with stronger Graphics read-write capability, and is formed by improving SDRAM. The method improves the defect of low video memory transmission rate of low performance in the past, and creates conditions for improving the performance of the display card. The SGRAM reads and writes data not one by one, but uses a Block as a unit, thereby reducing the times of reading and writing the whole memory and improving the efficiency of a graphic controller. But the design and manufacturing cost is higher, and more, the display card is applied to higher-end display cards at that time. At present, such a video memory is not adopted by manufacturers and is replaced by a DDR video memory. SDRAM, Synchronous dynamic random access memory DRAM (SDRAM), was once the most widely used memory type in PC computers, and even today SDRAM still has a place in the market. Since it is a "synchronous dynamic random access memory," it means that its operating speed is synchronized with the system bus speed. The SDRAM memory is divided into different specifications of PC66, PC100, PC133, etc., and the number following the specification represents the maximum normal operating system bus speed of the memory, such as PC100, which means that the memory can operate synchronously in a computer with a system bus of 100 MHz. Synchronous with the system bus speed, namely synchronous with the system clock, thus avoiding unnecessary waiting period and reducing data storage time. Synchronization also allows the memory controller to know during which clock period the data is being requested and therefore the data can begin to be transferred during the pulse rise period. SDRAM uses 3.3 volt working voltage, 168Pin DIMM interface, and the bandwidth is 64 bits. SDRAM is not only used in memories, but also in video memories. SDRAM can work with CPU synchronization, does not have the latency cycle, reduces data transmission delay.
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.
Claims (10)
1. A wireless data upload method comprising wirelessly uploading data using a wireless data upload mechanism, the wireless data upload mechanism comprising:
the electric energy meter main part includes wireless communication interface, aluminium system disc, gear, meter counter and protection dustcoat, the aluminium system disc the gear with the meter counter all sets up in the protection dustcoat.
2. The method of claim 1, wherein:
in the computer watch body, the counter comprises a drum, the shaft of the aluminium disc driving a gear to rotate the drum.
3. The method of claim 2, wherein:
in the computer watch main body, the wireless communication interface is arranged on the protective housing and is used for being connected with a remote power supply server.
4. The method of claim 3, wherein the mechanism further comprises:
the button capturing device is arranged opposite to the protective outer cover and used for capturing a scene between the protective outer cover and the button capturing device to obtain an instant capturing image;
the image restoration device is connected with the button snapping device and used for receiving the instant snapping image, equally dividing the instant snapping image into blocks with the sizes of the corresponding blocks based on the distance between the average brightness of the instant snapping image and the central value of a preset brightness range, selecting corresponding images with different strengths for each block based on the image degradation degree of the block to restore so as to obtain restored blocks, and splicing the obtained restored blocks so as to obtain a restored spliced image;
the TF storage equipment is connected with the data processing equipment and is used for pre-storing a filtering mode corresponding to a morphological filter required to be used by the data processing equipment and a filtering mode corresponding to a homomorphic filter;
the color acquisition equipment is connected with the image restoration equipment and used for receiving the restored spliced image, acquiring a red channel value of each pixel point in the restored spliced image, taking each pixel point in the restored spliced image as a pixel point to be measured, and acquiring each red channel value of each pixel point around the pixel point to be measured;
the gradient measuring equipment is connected with the color collecting equipment and used for determining gradient values of all directions of the pixel points to be measured based on all red channel values of all pixel points around the pixel points to be measured, determining the pixel points to be measured as outer-edge pixel points when gradient values with over-limit amplitudes exist in the gradient values of all directions, and determining the pixel points to be measured as inner pixel points when gradient values with over-limit amplitudes do not exist in the gradient values of all directions;
the pattern classification device is connected with the gradient measurement device and is used for determining one or more patterns formed by all the outer edge pixel points as one or more outer edge patterns and determining one or more patterns formed by all the inner pixel points as one or more inner patterns;
the data processing equipment is connected with the pattern classification equipment and used for receiving the one or more outer edge patterns and the one or more inner patterns, filtering each outer edge pattern by adopting a morphological filter to obtain a corresponding outer edge processing pattern, and filtering each inner pattern by adopting a homomorphic filter to obtain a corresponding inner processing pattern;
the pattern combining device is connected with the data processing device and is used for receiving one or more outer edge processing patterns and one or more inner processing patterns output by the data processing device and combining the one or more outer edge processing patterns and the one or more inner processing patterns to obtain a combined image corresponding to the restored spliced image;
the first parameter acquisition equipment is connected with the pattern merging equipment and used for receiving the merged image and performing ambiguity resolution on the merged image to obtain a first signal-to-noise ratio parameter;
the second parameter acquisition device is used for receiving the Raina diagram and performing signal-to-noise ratio analysis on the Raina diagram to obtain a second signal-to-noise ratio parameter;
the parameter comparison device is respectively connected with the first parameter acquisition device and the second parameter acquisition device and is used for receiving the first signal-to-noise ratio parameter and the second signal-to-noise ratio parameter, sending a first control instruction when the second signal-to-noise ratio parameter is larger than or equal to the first signal-to-noise ratio parameter, sending a third control instruction when the first signal-to-noise ratio parameter is more than three times of the second signal-to-noise ratio parameter, and sending a second control instruction when the first signal-to-noise ratio parameter is between three times and two times of the second signal-to-noise ratio parameter;
the selection processing device is connected with the parameter comparison device and used for activating the two-dimensional wavelet denoising device to perform single two-dimensional wavelet denoising processing on the merged image and obtain and output a corresponding selection processing image when the second control instruction is received, and also used for activating the two-dimensional wavelet denoising device to perform multi-time two-dimensional wavelet denoising processing on the merged image and obtain and output a corresponding selection processing image when the third control instruction is received;
the selection processing device is further used for outputting the merged image as a selection processing image when the first control instruction is received;
a two-dimensional wavelet denoising device for performing one or more times of two-dimensional wavelet denoising processing on an input image in an active state and stopping the one or more times of two-dimensional wavelet denoising processing on the input image in an inactive state;
the area analysis equipment is connected with the selection processing equipment and used for receiving the selection processing image, identifying a human body target in the selection processing image based on the gray threshold range of the human body image so as to obtain a corresponding human body target area, and sending a human body acquisition signal when the number of pixel points occupied by the human body target area exceeds the limit, or sending a human body non-acquisition signal;
the wireless communication interface is connected with the area analysis equipment and used for wirelessly sending the selective processing image to a remote power supply server when receiving the human body acquisition signal;
wherein, in the wireless communication interface, the power supply server that wirelessly transmits the selection processing image to a remote end includes: and performing compression coding on the selected processing image and then wirelessly transmitting the selected processing image to a remote power supply server.
5. The method of claim 4, wherein the mechanism further comprises:
and the SGRAM storage chip is connected with the selective processing equipment and is used for receiving the selectively processed image and temporarily storing the selectively processed image.
6. The method of claim 5, wherein:
in the pattern merging device, merging the one or more outer processed patterns and the one or more inner processed patterns to obtain a merged image corresponding to the restored stitched image comprises: and carrying out pixel value fusion on pixel points at the splicing positions between the one or more outer edge processing patterns and the one or more inner edge processing patterns to obtain a combined image corresponding to the restored spliced image.
7. The method of claim 6, 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.
8. The method of claim 7, wherein:
in the image restoration device, the closer the average brightness of the instant snapshot image is to the center value of the preset brightness range, the larger the corresponding block into which the instant snapshot image is equally divided becomes.
9. The method of claim 8, wherein:
in the image restoration device, for each block, the greater the degree of image degradation of the block, the greater the strength of selected image restoration.
10. The method of any of claims 4-9, wherein:
in the pattern classification device, determining one or more patterns composed of the edge pixels as one or more edge patterns includes: when the outer edge pixel points occupied by the outer edge patterns are smaller than or equal to a first quantity threshold value, deleting the outer edge pixel points from the one or more outer edge patterns;
wherein, in the pattern classification device, determining one or more patterns composed of each internal pixel point as one or more internal patterns includes: when the internal pixel points occupied by the internal patterns are less than or equal to a second preset number threshold, deleting the internal pixel points from the one or more internal patterns;
wherein, in the pattern classification device, the first number threshold is smaller than the second number threshold.
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