CN111209786A - Dynamic information network transmission method - Google Patents
Dynamic information network transmission method Download PDFInfo
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- CN111209786A CN111209786A CN201910281952.8A CN201910281952A CN111209786A CN 111209786 A CN111209786 A CN 111209786A CN 201910281952 A CN201910281952 A CN 201910281952A CN 111209786 A CN111209786 A CN 111209786A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention relates to a dynamic information network transmission method, which comprises the steps of providing a dynamic information network transmission mechanism, measuring the number of people in a carriage by adopting a customized analysis mechanism, dividing the measured number of people by the number of standard people in the carriage to obtain the corresponding percentage, taking the percentage as a full-load parameter, and sending the full-load parameter to a mobile terminal of a nearby carriage manager by adopting mobile communication equipment through a network.
Description
Technical Field
The invention relates to the field of network transmission, in particular to a dynamic information network transmission method.
Background
Network transmission refers to the process of communicating according to a network transmission protocol with a series of lines (optical fibers, twisted pair, etc.) through a circuit's adjustment changes. In which network transmission requires a medium, i.e. a physical path between a sender and a receiver in the network, which has an impact on the data communication of the network. Common transmission media are: twisted pair, coaxial cable, fiber optics, and wireless transmission media. Network protocols are some specifications for the transfer, management, of information in networks, including the internet.
As well as the need for human-to-human interaction to comply with certain rules, the need for computers to communicate with each other is commonly followed by certain rules, which are called network protocols. Network protocols are typically divided into several levels, and two communicating parties can only communicate with each other at a common level.
Disclosure of Invention
The invention has at least the following key invention points:
(1) measuring the number of people in the carriage by adopting a customized analysis mechanism, dividing the measured number of people by the number of carriage standard distribution people to obtain a corresponding percentage, taking the percentage as a fullness parameter, and sending the fullness parameter to a mobile terminal of a carriage manager nearby by adopting mobile communication equipment through a network so as to help the carriage manager to know the dynamic information of the carriage in time;
(2) when the image resolution is too high, namely the data volume is too large, the single filtering mode is adopted to replace the double filtering mode so as to reduce the operation amount of image processing, and when the image resolution is low, namely the data volume is too small, the double filtering mode is recovered so as to ensure the filtering effect.
According to an aspect of the present invention, there is provided a dynamic information network transmission method, the method including providing a dynamic information network transmission mechanism for measuring a number of people in a car using a customized analysis mechanism, dividing the measured number of people by a number of car-matching people to obtain a corresponding percentage, and using the percentage as a fullness parameter, and using a mobile communication device to send the fullness parameter to a mobile terminal of a nearby car manager via a network, the dynamic information network transmission mechanism including: the spherical camera shooting mechanism is arranged in the train carriage and used for carrying out camera shooting operation on scenes in the carriage so as to obtain and output a corresponding current captured image; and the signal analysis equipment is connected with the spherical camera shooting mechanism and used for receiving the currently captured image and distinguishing and processing the instant resolution of the currently captured image so as to obtain and output the corresponding instant resolution.
More specifically, in the dynamic information network transmission mechanism, the mechanism further includes: and the parameter comparison equipment is connected with the signal analysis equipment and used for receiving the instant resolution and sending a first driving command when the instant resolution is greater than or equal to the preset resolution threshold.
More specifically, in the dynamic information network transmission mechanism, the mechanism further includes: the DDR memory chip is connected with the parameter comparison equipment and is used for pre-storing the preset resolution threshold value; and the parameter comparison equipment is also used for sending a second driving command when the instant resolution is smaller than the preset resolution threshold.
More specifically, in the dynamic information network transmission mechanism, the mechanism further includes: the parameter detection equipment is connected with the histogram equalization equipment and is used for matching the histogram equalization image based on the appearance of the head of the human body so as to obtain the number of matched image blocks and output the number as the number of field personnel; the fullness analyzing equipment is connected with the parameter detecting equipment and is used for dividing the number of field personnel by the number of the standard distribution personnel in the carriage to obtain the corresponding percentage and outputting the percentage as the fullness parameter; and the mobile communication equipment establishes a data communication link with a mobile terminal of a nearby carriage manager through a network so as to send the fullness parameter to the mobile terminal of the nearby carriage manager.
The dynamic information network transmission mechanism has effective data and safe transmission. The corresponding percentage is obtained by dividing the number of people in the carriage by the number of the carriage standard people, and the percentage is used as the fullness parameter, and the mobile communication equipment is also adopted to send the fullness parameter to the mobile terminal of the carriage management personnel nearby through the network, so that the carriage management personnel can know the dynamic information of the carriage in time.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a diagram illustrating an internal scene of a railcar to which a dynamic information network transmission mechanism is applied, according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
In data communication, the synchronization pattern mainly includes bit synchronization and character synchronization.
Bit synchronization: the purpose is to allow the receiver to correctly accept the individual bits. Generally, there are two methods, self-synchronization and external synchronization. The self-synchronizing method is that the receiver acquires the synchronizing information from the data block directly by using the characteristics of communication coding, and the method comprises the steps of activating receiving action by using a unique signal or adjusting receiving sampling pulse by using level conversion in the data block. The external synchronization method is that before sending data, the sender sends a series of synchronous clock sequences to the receiver, and the receiver locks the receiving frequency according to the clock pulse frequency and the time sequence so as to keep synchronization with the sender all the time in the process of receiving data.
Character synchronization is also called group synchronization, and aims to allow a receiver to recognize data (often referred to as a character) in a strive manner to form complete information. It is clear that character synchronization is based on bit synchronization and that true data reception is possible only if a unique synchronization pattern is recognized.
At present, in the running of a train, managers of each carriage expect to obtain the current number of the carriage in time so as to provide a data base for taking various measures, however, because the carriages can flow mutually, the number of the carriage in each carriage is also dynamic, and the manual mode is difficult to be adopted for timing tracking.
In order to overcome the defects, the invention provides a dynamic information network transmission method which comprises the steps of providing a dynamic information network transmission mechanism, measuring the number of people in a carriage by adopting a customized analysis mechanism, dividing the measured number of people by the number of standard people in the carriage to obtain a corresponding percentage, taking the percentage as a full-load parameter, and sending the full-load parameter to a mobile terminal of a nearby carriage manager by adopting mobile communication equipment through a network. The dynamic information network transmission mechanism can effectively solve the corresponding technical problem.
Fig. 1 is a diagram illustrating an internal scene of a railcar to which a dynamic information network transmission mechanism is applied, according to an embodiment of the present invention.
The dynamic information network transmission mechanism shown according to the embodiment of the invention comprises:
the spherical camera shooting mechanism is arranged in the train carriage and used for carrying out camera shooting operation on scenes in the carriage so as to obtain and output a corresponding current captured image;
and the signal analysis equipment is connected with the spherical camera shooting mechanism and used for receiving the currently captured image and distinguishing and processing the instant resolution of the currently captured image so as to obtain and output the corresponding instant resolution.
Next, the detailed structure of the dynamic information network transmission mechanism of the present invention will be further described.
The dynamic information network transmission mechanism may further include:
and the parameter comparison equipment is connected with the signal analysis equipment and used for receiving the instant resolution and sending a first driving command when the instant resolution is greater than or equal to the preset resolution threshold.
The dynamic information network transmission mechanism may further include:
the DDR memory chip is connected with the parameter comparison equipment and is used for pre-storing the preset resolution threshold value;
and the parameter comparison equipment is also used for sending a second driving command when the instant resolution is smaller than the preset resolution threshold.
The dynamic information network transmission mechanism may further include:
the parameter detection equipment is connected with the histogram equalization equipment and is used for matching the histogram equalization image based on the appearance of the head of the human body so as to obtain the number of matched image blocks and output the number as the number of field personnel;
the fullness analyzing equipment is connected with the parameter detecting equipment and is used for dividing the number of field personnel by the number of the standard distribution personnel in the carriage to obtain the corresponding percentage and outputting the percentage as the fullness parameter;
the mobile communication equipment establishes a data communication link with a mobile terminal of a nearby carriage manager through a network so as to send the fullness parameter to the mobile terminal of the nearby carriage manager;
the wiener filtering equipment is respectively connected with the signal analysis equipment and the parameter comparison equipment and is used for receiving the current captured image, executing wiener filtering processing on the current captured image when a second driving command is received so as to obtain and output a corresponding wiener filtering image, and outputting the current captured image as the wiener filtering image when a first driving command is received;
the harmonic mean filtering equipment is connected with the wiener filtering equipment and is used for executing harmonic mean filtering operation on the received wiener filtering image so as to obtain a corresponding harmonic mean filtering image;
the horizontal sharpening device is connected with the harmonic mean filtering device and is used for carrying out horizontal sharpening on the received harmonic mean filtering image so as to obtain and output a corresponding horizontal sharpened image;
the histogram equalization device is connected with the horizontal direction sharpening device and is used for receiving the horizontal direction sharpened image and executing histogram equalization processing on the horizontal direction sharpened image so as to obtain and output a corresponding histogram equalized image;
the horizontal sharpening device and the histogram equalization device carry out data interaction through a 32-bit parallel data bus;
the wiener filtering device comprises a command receiving sub-device, a command executing sub-device and a signal output sub-device.
The dynamic information network transmission mechanism may further include:
and the sharpness grade analysis device is connected with the histogram equalization device and is used for receiving the histogram equalization image, acquiring the pixel value and the coordinate position of each pixel point in the histogram equalization image, and determining the sharpness grade of the histogram equalization image based on the pixel value and the coordinate position of each pixel point in the histogram equalization image.
The dynamic information network transmission mechanism may further include:
the data conversion equipment is used for receiving the histogram equalization image and performing time-frequency conversion on the histogram equalization image to obtain a corresponding frequency domain matrix;
and the parameter extraction equipment is respectively connected with the sharp grade analysis equipment and the data conversion equipment and is used for receiving the frequency domain matrix and the sharp grade and determining a corresponding frequency threshold value based on the sharp grade, wherein in the parameter extraction equipment, the determined corresponding frequency threshold value is in direct proportion to the sharp grade.
The dynamic information network transmission mechanism may further include:
and the frequency domain value processing device is respectively connected with the parameter extraction device and the data conversion device and is used for calculating the square sum of the abscissa and the ordinate of each point in the frequency domain matrix, keeping the original frequency domain value of the point when the square value of the square sum is less than or equal to the frequency threshold value, and setting the frequency domain value of the point to be zero when the square value of the square sum is greater than the frequency threshold value.
The dynamic information network transmission mechanism may further include:
the inverse transformation device is respectively connected with the parameter detection device and the frequency domain value processing device, and is used for receiving the frequency domain value of each point in the frequency domain matrix processed by the frequency domain value processing device, forming a processed data matrix based on the frequency domain value processed by each point, performing frequency-time conversion on the data matrix to obtain an inverse transformation image corresponding to the histogram equalization image, and replacing the histogram equalization image with the inverse transformation image to send the inverse transformation image to the parameter detection device;
wherein, in the sharpness level analysis device, determining the sharpness level of the histogram equalization image based on the pixel value and the coordinate position of each pixel point in the histogram equalization image comprises: and determining pixel points of which the pixel values exceed the mean value of all the pixel values of the field pixel points in the histogram equalized image to serve as abrupt change pixel points, taking a plurality of abrupt change pixel points forming a continuous curve as a sharp curve, and counting the number of the sharp curves in the histogram equalized image.
In the dynamic information network transmission mechanism:
in the sharpness level analysis device, determining the sharpness level of the histogram equalized image based on the pixel values and the coordinate positions of the respective pixel points in the histogram equalized image further includes: determining a sharpness level of the histogram equalized image based on a number of sharpness curves in the histogram equalized image, the number of sharpness curves in the histogram equalized image being proportional to the sharpness level of the histogram equalized image;
wherein the sharpness grade analysis device is further configured to issue an image smoothing signal when the number of sharpness curves is zero.
In addition, DDR Double Data Rate SDRAM. Strictly speaking, DDR shall be referred to as DDR SDRAM, which is an abbreviation of Synchronous Dynamic Random access memory, and is commonly referred to as DDR. DDR SDRAM, however, is an abbreviation for Double Data Rate SDRAM, meaning Double-Rate 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. Double Data Rate: compared with the traditional single data rate, the DDR technology realizes two read/write operations in one clock cycle, namely, the read/write operations are respectively executed once on the rising edge and the falling edge of the clock.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (9)
1. A dynamic information network transmission method, the method includes providing a dynamic information network transmission mechanism, which is used for measuring the number of people in a carriage by adopting a customized analysis mechanism, dividing the measured number of people by the number of standard people in the carriage to obtain a corresponding percentage, and using the percentage as a fullness parameter, and adopting a mobile communication device to send the fullness parameter to a mobile terminal of a nearby carriage manager through a network, the dynamic information network transmission mechanism includes:
the spherical camera shooting mechanism is arranged in the train carriage and used for carrying out camera shooting operation on scenes in the carriage so as to obtain and output a corresponding current captured image;
and the signal analysis equipment is connected with the spherical camera shooting mechanism and used for receiving the currently captured image and distinguishing and processing the instant resolution of the currently captured image so as to obtain and output the corresponding instant resolution.
2. The method of claim 1, wherein the mechanism further comprises:
and the parameter comparison equipment is connected with the signal analysis equipment and used for receiving the instant resolution and sending a first driving command when the instant resolution is greater than or equal to the preset resolution threshold.
3. The method of claim 2, wherein the mechanism further comprises:
the DDR memory chip is connected with the parameter comparison equipment and is used for pre-storing the preset resolution threshold value;
and the parameter comparison equipment is also used for sending a second driving command when the instant resolution is smaller than the preset resolution threshold.
4. The method of claim 3, wherein the mechanism further comprises:
the parameter detection equipment is connected with the histogram equalization equipment and is used for matching the histogram equalization image based on the appearance of the head of the human body so as to obtain the number of matched image blocks and output the number as the number of field personnel;
the fullness analyzing equipment is connected with the parameter detecting equipment and is used for dividing the number of field personnel by the number of the standard distribution personnel in the carriage to obtain the corresponding percentage and outputting the percentage as the fullness parameter;
the mobile communication equipment establishes a data communication link with a mobile terminal of a nearby carriage manager through a network so as to send the fullness parameter to the mobile terminal of the nearby carriage manager;
the wiener filtering equipment is respectively connected with the signal analysis equipment and the parameter comparison equipment and is used for receiving the current captured image, executing wiener filtering processing on the current captured image when a second driving command is received so as to obtain and output a corresponding wiener filtering image, and outputting the current captured image as the wiener filtering image when a first driving command is received;
the harmonic mean filtering equipment is connected with the wiener filtering equipment and is used for executing harmonic mean filtering operation on the received wiener filtering image so as to obtain a corresponding harmonic mean filtering image;
the horizontal sharpening device is connected with the harmonic mean filtering device and is used for carrying out horizontal sharpening on the received harmonic mean filtering image so as to obtain and output a corresponding horizontal sharpened image;
the histogram equalization device is connected with the horizontal direction sharpening device and is used for receiving the horizontal direction sharpened image and executing histogram equalization processing on the horizontal direction sharpened image so as to obtain and output a corresponding histogram equalized image;
the horizontal sharpening device and the histogram equalization device carry out data interaction through a 32-bit parallel data bus;
the wiener filtering device comprises a command receiving sub-device, a command executing sub-device and a signal output sub-device.
5. The method of claim 4, wherein the mechanism further comprises:
and the sharpness grade analysis device is connected with the histogram equalization device and is used for receiving the histogram equalization image, acquiring the pixel value and the coordinate position of each pixel point in the histogram equalization image, and determining the sharpness grade of the histogram equalization image based on the pixel value and the coordinate position of each pixel point in the histogram equalization image.
6. The method of claim 5, wherein the mechanism further comprises:
the data conversion equipment is used for receiving the histogram equalization image and performing time-frequency conversion on the histogram equalization image to obtain a corresponding frequency domain matrix;
and the parameter extraction equipment is respectively connected with the sharp grade analysis equipment and the data conversion equipment and is used for receiving the frequency domain matrix and the sharp grade and determining a corresponding frequency threshold value based on the sharp grade, wherein in the parameter extraction equipment, the determined corresponding frequency threshold value is in direct proportion to the sharp grade.
7. The method of claim 6, wherein the mechanism further comprises:
and the frequency domain value processing device is respectively connected with the parameter extraction device and the data conversion device and is used for calculating the square sum of the abscissa and the ordinate of each point in the frequency domain matrix, keeping the original frequency domain value of the point when the square value of the square sum is less than or equal to the frequency threshold value, and setting the frequency domain value of the point to be zero when the square value of the square sum is greater than the frequency threshold value.
8. The method of claim 7, wherein the mechanism further comprises:
the inverse transformation device is respectively connected with the parameter detection device and the frequency domain value processing device, and is used for receiving the frequency domain value of each point in the frequency domain matrix processed by the frequency domain value processing device, forming a processed data matrix based on the frequency domain value processed by each point, performing frequency-time conversion on the data matrix to obtain an inverse transformation image corresponding to the histogram equalization image, and replacing the histogram equalization image with the inverse transformation image to send the inverse transformation image to the parameter detection device;
wherein, in the sharpness level analysis device, determining the sharpness level of the histogram equalization image based on the pixel value and the coordinate position of each pixel point in the histogram equalization image comprises: and determining pixel points of which the pixel values exceed the mean value of all the pixel values of the field pixel points in the histogram equalized image to serve as abrupt change pixel points, taking a plurality of abrupt change pixel points forming a continuous curve as a sharp curve, and counting the number of the sharp curves in the histogram equalized image.
9. The method of claim 8, wherein:
in the sharpness level analysis device, determining the sharpness level of the histogram equalized image based on the pixel values and the coordinate positions of the respective pixel points in the histogram equalized image further includes: determining a sharpness level of the histogram equalized image based on a number of sharpness curves in the histogram equalized image, the number of sharpness curves in the histogram equalized image being proportional to the sharpness level of the histogram equalized image;
wherein the sharpness grade analysis device is further configured to issue an image smoothing signal when the number of sharpness curves is zero.
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Application publication date: 20200529 |