CN111113483A - Electronic driving system based on signal big data processing - Google Patents
Electronic driving system based on signal big data processing Download PDFInfo
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- CN111113483A CN111113483A CN201910960666.4A CN201910960666A CN111113483A CN 111113483 A CN111113483 A CN 111113483A CN 201910960666 A CN201910960666 A CN 201910960666A CN 111113483 A CN111113483 A CN 111113483A
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- electronic driving
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
Abstract
The invention relates to an electronic driving system based on signal big data processing, which comprises: the electronic driving device is used for driving the connected mechanical arm to push the material on the conveying belt away from the conveying belt when receiving a push-out control command, and is also used for not executing driving operation on the connected mechanical arm when receiving a material reliable command; the electronic driving device comprises a signal converter and a direct current brushless motor, wherein the signal converter is connected with the direct current brushless motor; and the mechanical arm is arranged above the conveying belt. The electronic driving system based on signal big data processing is reliable in operation and convenient to operate. Because image content matching is executed on the received images based on the geometric shapes of the preset materials, when the image areas with the matching degree lower than the preset percentage exist, the abnormal materials on the conveying belt are pushed away, and therefore the adverse effect of the abnormal materials on the production process is avoided.
Description
Technical Field
The invention relates to the field of signal processing, in particular to an electronic driving system based on signal big data processing.
Background
The physicochemical or mathematical processes associated with the signal are: signal generation, signal transmission, signal reception, signal analysis (i.e., knowing the characteristics of a certain signal), signal processing (i.e., converting a certain signal into another signal related to the certain signal, such as filtering out noise or interference, and converting the signal into a form that is easy to analyze and recognize), signal storage, signal detection and control, and the like. These signal-related processes may also be referred to collectively as signal processing.
And extracting characteristic signals in the event change process, and performing interference removal, analysis, synthesis, transformation, operation and other processing to obtain the process of reflecting the event change essence or information interested by a processor. Analog signal processing and digital signal processing are divided.
Disclosure of Invention
The invention has at least the following two key points:
(1) in the case of acquiring a reference color temperature value for image processing, color temperature processing is performed only on image blocks in which the object area is out of limit, thereby achieving a balance between the image processing effect and the image processing efficiency;
(2) and performing image content matching on the received image based on the geometric shape of the preset material, and pushing away the abnormal material on the conveying belt when the image area with the matching degree lower than the preset percentage exists, thereby avoiding the adverse effect of the abnormal material on the production process.
According to an aspect of the present invention, there is provided an electronic driving system based on signal big data processing, the system including: and the electronic driving device is used for driving the connected mechanical arm to push the materials on the conveying belt away from the conveying belt when receiving the pushing control command.
More specifically, in the electronic drive system based on signal big data processing: the electronic driving device is further used for not executing driving operation on the connected mechanical arm when receiving the material reliability command.
More specifically, in the electronic drive system based on signal big data processing: the electronic driving device comprises a signal converter and a direct current brushless motor, wherein the signal converter is connected with the direct current brushless motor.
More specifically, in the electronic driving system based on signal big data processing, the system further includes: the mechanical arm is arranged above the conveying belt, is connected with the electronic driving equipment and is driven by the electronic driving equipment; the wireless camera is arranged above the conveying belt and used for carrying out camera shooting operation on the environment where the conveying belt is located so as to obtain and output a corresponding real-time environment image; the targeted processing equipment is connected with the wireless camera and used for receiving the real-time environment image, executing contrast identification operation on the real-time environment image to obtain corresponding field contrast, and executing image segmentation on the real-time environment image based on the field contrast to obtain a plurality of image blocks; the data acquisition equipment is connected with the targeted processing equipment and used for receiving each image block of the real-time environment image, acquiring each color temperature value of each image block, and performing mean value calculation on each color temperature value to output a corresponding reference color temperature value; the self-adaptive adjusting equipment is connected with the data acquisition equipment and is used for executing the following actions on each image block of which the object area exceeds a preset area threshold value in the real-time environment image: and performing color temperature compensation processing on the image block based on the reference color temperature value to obtain a processed image block.
The electronic driving system based on signal big data processing is reliable in operation and convenient to operate. Because image content matching is executed on the received images based on the geometric shapes of the preset materials, when the image areas with the matching degree lower than the preset percentage exist, the abnormal materials on the conveying belt are pushed away, and therefore the adverse effect of the abnormal materials on the production process is avoided.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram illustrating a conveyor belt applied to an electronic driving system based on signal big data processing according to an embodiment of the present invention.
Detailed Description
An embodiment of the electronic driving system based on signal big data processing of the present invention will be described in detail with reference to the accompanying drawings.
The mechanical arm is an automatic mechanical device which is widely applied in the technical field of robots, and the figure of the mechanical arm can be seen in the fields of industrial manufacturing, medical treatment, entertainment service, military, semiconductor manufacturing, space exploration and the like. Although they have different forms, they all have a common feature of being able to receive commands to precisely locate a point in three-dimensional (or two-dimensional) space for work.
The mechanical arm is divided into a multi-joint mechanical arm, a rectangular coordinate mechanical arm, a spherical coordinate mechanical arm, a polar coordinate mechanical arm, a cylindrical coordinate mechanical arm and the like according to different structural forms. The right diagram shows a conventional six-degree-of-freedom robot arm. The system consists of six degrees of freedom including X movement, Y movement, Z movement, X rotation, Y rotation and Z rotation.
At present, in production processes such as material manufacturing, garment molding and the like, a conveying belt is a main means for conveying various raw materials, semi-finished products and finished products, however, in a complicated production process, some abnormal materials are inevitably mixed on the conveying belt, and if the abnormal materials are brought into the subsequent production process, adverse effects are brought to production machines and products.
In order to overcome the defects, the invention builds the electronic driving system based on signal big data processing, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic structural diagram illustrating a conveyor belt applied to an electronic driving system based on signal big data processing according to an embodiment of the present invention.
The electronic driving system based on signal big data processing according to the embodiment of the invention comprises:
and the electronic driving device is used for driving the connected mechanical arm to push the materials on the conveying belt away from the conveying belt when receiving the pushing control command.
Next, the detailed structure of the electronic driving system based on signal big data processing according to the present invention will be further described.
In the electronic driving system based on signal big data processing:
the electronic driving device is further used for not executing driving operation on the connected mechanical arm when receiving the material reliability command.
In the electronic driving system based on signal big data processing:
the electronic driving device comprises a signal converter and a direct current brushless motor, wherein the signal converter is connected with the direct current brushless motor.
The electronic driving system based on signal big data processing can further comprise:
the mechanical arm is arranged above the conveying belt, is connected with the electronic driving equipment and is driven by the electronic driving equipment;
the wireless camera is arranged above the conveying belt and used for carrying out camera shooting operation on the environment where the conveying belt is located so as to obtain and output a corresponding real-time environment image;
the targeted processing equipment is connected with the wireless camera and used for receiving the real-time environment image, executing contrast identification operation on the real-time environment image to obtain corresponding field contrast, and executing image segmentation on the real-time environment image based on the field contrast to obtain a plurality of image blocks;
the data acquisition equipment is connected with the targeted processing equipment and used for receiving each image block of the real-time environment image, acquiring each color temperature value of each image block, and performing mean value calculation on each color temperature value to output a corresponding reference color temperature value;
the self-adaptive adjusting equipment is connected with the data acquisition equipment and is used for executing the following actions on each image block of which the object area exceeds a preset area threshold value in the real-time environment image: performing color temperature compensation processing on the image block based on the reference color temperature value to obtain a processed image block;
the signal integration equipment is respectively connected with the self-adaptive adjusting equipment and the data acquisition equipment and is used for carrying out image integration on each processed image block in the real-time environment image and each image block, of which the object area does not exceed a preset area threshold, in the real-time environment image so as to obtain an integrated processing image corresponding to the real-time environment image;
the material identification device is connected with the signal integration device and used for performing image content matching on the received integrated processing image based on the geometric shape of the preset material and sending a push-out control command when an image area with the matching degree lower than a preset percentage exists, or sending a material reliability command;
the DDR SDRAM chip is connected with the material identification device and used for storing a preset reference material geometric shape and a preset percentage, wherein the preset material geometric shape is a geometric shape of a material which is authorized to be conveyed on a conveying belt;
the image blocks of which the object areas exceed the preset area threshold in the real-time environment image are the image blocks of which the number of pixel points occupied by the object exceeds the number of pixel points corresponding to the preset area threshold;
wherein, the targeted processing device is internally provided with a storage unit for receiving and storing the on-site contrast;
wherein, in the targeted processing device, the smaller the on-site contrast, the smaller the number of the obtained plurality of segmentation regions.
In the electronic driving system based on signal big data processing:
the self-adaptive adjusting equipment is realized by adopting a programmable logic device, and the programmable logic device is designed by adopting VHDL.
In the electronic driving system based on signal big data processing:
the signal integration equipment is a non-bus type single chip microcomputer, and a timer and a ROM (read only memory) are arranged in the non-bus type single chip microcomputer.
In the electronic driving system based on signal big data processing:
and the self-adaptive adjusting equipment and the signal integration equipment are in data connection and data interaction through a 16-bit parallel data interface.
In the electronic driving system based on signal big data processing:
the self-adaptive adjusting device and the signal integration device share the same field timing device and the same power supply input device.
In the electronic driving system based on signal big data processing:
and a data cache device is also arranged between the self-adaptive adjusting device and the signal integration device and is respectively connected with the self-adaptive adjusting device and the signal integration device through two data interfaces.
In addition, DDR SDRAM, which is commonly called DDR, is also known as SDRAM by some beginners. DDR SDRAM, an acronym for Double Data Rate SDRAM, means Double-Data synchronous dynamic random access memory. DDR memory is developed on the basis of SDRAM memory, and SDRAM production system is still used, so for memory manufacturers, DDR memory production can be realized only by slightly improving equipment for manufacturing common SDRAM, and cost can be effectively reduced.
The SDRAM only transmits data once in a clock period, and the data transmission is carried out in the rising period of the clock; the DDR memory transfers data twice in one clock cycle, and can transfer data once in the rising period and the falling period of the clock, so the DDR memory is called a double-rate synchronous dynamic random access memory. DDR memory can achieve higher data transfer rates at the same bus frequency as SDRAM.
Compared with SDRAM: DDR uses a more advanced synchronous circuit, so that the main steps of transmission and output of the designated address and data are independently executed and are kept completely synchronous with the CPU; DDR uses DLL (Delay Locked Loop) technology, and when data is valid, the memory controller can use this data filter signal to pinpoint the data, output it every 16 times, and resynchronize the data from different memory modules. DDR essentially doubles the speed of SDRAM without increasing the clock frequency, allowing data to be read on both the rising and falling edges of the clock pulse, thus doubling the speed of standard SDRAM.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. An electronic driving system based on signal big data processing, comprising:
and the electronic driving device is used for driving the connected mechanical arm to push the materials on the conveying belt away from the conveying belt when receiving the pushing control command.
2. The electronic driving system based on signal big data processing according to claim 1, wherein:
the electronic driving device is further used for not executing driving operation on the connected mechanical arm when receiving the material reliability command.
3. The electronic driving system based on signal big data processing according to claim 2, wherein:
the electronic driving device comprises a signal converter and a direct current brushless motor, wherein the signal converter is connected with the direct current brushless motor.
4. The electronic drive system based on signal big data processing according to claim 3, wherein the system further comprises:
the mechanical arm is arranged above the conveying belt, is connected with the electronic driving equipment and is driven by the electronic driving equipment;
the wireless camera is arranged above the conveying belt and used for carrying out camera shooting operation on the environment where the conveying belt is located so as to obtain and output a corresponding real-time environment image;
the targeted processing equipment is connected with the wireless camera and used for receiving the real-time environment image, executing contrast identification operation on the real-time environment image to obtain corresponding field contrast, and executing image segmentation on the real-time environment image based on the field contrast to obtain a plurality of image blocks;
the data acquisition equipment is connected with the targeted processing equipment and used for receiving each image block of the real-time environment image, acquiring each color temperature value of each image block, and performing mean value calculation on each color temperature value to output a corresponding reference color temperature value;
the self-adaptive adjusting equipment is connected with the data acquisition equipment and is used for executing the following actions on each image block of which the object area exceeds a preset area threshold value in the real-time environment image: performing color temperature compensation processing on the image block based on the reference color temperature value to obtain a processed image block;
the signal integration equipment is respectively connected with the self-adaptive adjusting equipment and the data acquisition equipment and is used for carrying out image integration on each processed image block in the real-time environment image and each image block, of which the object area does not exceed a preset area threshold, in the real-time environment image so as to obtain an integrated processing image corresponding to the real-time environment image;
the material identification device is connected with the signal integration device and used for performing image content matching on the received integrated processing image based on the geometric shape of the preset material and sending a push-out control command when an image area with the matching degree lower than a preset percentage exists, or sending a material reliability command;
the DDR SDRAM chip is connected with the material identification device and used for storing a preset reference material geometric shape and a preset percentage, wherein the preset material geometric shape is a geometric shape of a material which is authorized to be conveyed on a conveying belt;
the image blocks of which the object areas exceed the preset area threshold in the real-time environment image are the image blocks of which the number of pixel points occupied by the object exceeds the number of pixel points corresponding to the preset area threshold;
wherein, the targeted processing device is internally provided with a storage unit for receiving and storing the on-site contrast;
wherein, in the targeted processing device, the smaller the on-site contrast, the smaller the number of the obtained plurality of segmentation regions.
5. The electronic driving system based on signal big data processing according to claim 4, wherein:
the self-adaptive adjusting equipment is realized by adopting a programmable logic device, and the programmable logic device is designed by adopting VHDL.
6. The electronic driving system based on signal big data processing according to claim 5, wherein:
the signal integration equipment is a non-bus type single chip microcomputer, and a timer and a ROM (read only memory) are arranged in the non-bus type single chip microcomputer.
7. The electronic driving system based on signal big data processing according to claim 6, wherein:
and the self-adaptive adjusting equipment and the signal integration equipment are in data connection and data interaction through a 16-bit parallel data interface.
8. The electronic driving system based on signal big data processing according to claim 7, wherein:
the self-adaptive adjusting device and the signal integration device share the same field timing device and the same power supply input device.
9. The electronic driving system based on signal big data processing according to claim 8, wherein:
and a data cache device is also arranged between the self-adaptive adjusting device and the signal integration device and is respectively connected with the self-adaptive adjusting device and the signal integration device through two data interfaces.
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