CN112528718B - Parameter big data analysis system - Google Patents
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Abstract
The invention relates to a parameter big data analysis system, comprising: the data capture equipment is arranged in a control room of the amusement park and used for acquiring the total number of current electronic serial numbers of each amusement item in the amusement park; a parameter extraction device for performing the following actions for each attraction in the amusement park: multiplying a current electronic queuing total for the attraction by a reference run time to obtain a current wait time; and the recommendation degree analysis device is used for determining the recommendation degree of the tourists of each amusement item based on the current waiting time and the average running times per day of each amusement item. The parameter big data analysis system provided by the invention is reliable in operation and effective in identification. The recommendation degree of the tourists of the amusement items is determined based on the current waiting time and the average running times per day of each amusement item, so that the tourists can conveniently select the amusement items.
Description
Technical Field
The invention relates to the field of signal processing, in particular to a parameter big data analysis system.
Background
Signal processing is the fundamental theory and technique of telecommunications. Its mathematical theory includes equation theory, function theory, number theory, random process theory, least square method and optimization theory, etc. its technology support is circuit analysis, synthesis and electronic computer technology. Signal processing has a close relationship with modern pattern recognition, artificial intelligence, neural network calculation, multimedia information processing and the like, and the signal processing closely links basic theory and engineering application. Therefore, the signal processing is a subject which not only has a complex mathematical analysis background, but also has a wide practical engineering prospect.
Signal processing has been developed with digital signal processing as the center. This is because the signal can be generally represented in a digitized form, and the digitized signal can be calculated or processed on an electronic computer through software, so that no matter how complex the operation is, the calculation can be simulated on the electronic computer as long as the mathematical analysis can be performed and an optimal solution can be obtained. If the calculation speed is proper and fast, the calculation can be completed in real time by using an ultra-large special digital signal processing chip. Therefore, digital signal processing technology is one of the most active disciplines in the development of information technology.
Disclosure of Invention
The invention needs to have the following three important points:
(1) determining the recommendation degree of the tourists of each amusement item based on the current waiting time and the average running times per day of each amusement item, so that the tourists can conveniently select the amusement items;
(2) dividing the number of the immediate outdoor people in the amusement park by a preset percentage to obtain an estimated total number of the amusement park, and providing important reference data for a manager of the amusement park;
(3) and a mode switching mechanism is adopted to control the image capturing equipment serving as the multi-view imager to perform imaging operation by adopting a small number of CCD sensors in the daytime and perform imaging operation by adopting a large number of CCD sensors at night, so that the automatic control of the image capturing equipment is realized.
According to an aspect of the present invention, there is provided a parameter big data parsing system, the system including: and the data capture equipment is arranged in a control room of the amusement park and is used for acquiring the total number of the current electronic serial numbers of each amusement item in the amusement park.
More specifically, in the parameter big data parsing system, the system further includes: the DDR SDRAM chip is used for pre-storing the time spent by each operation of each amusement item in the amusement park as reference operation time; the DDR SDRAM chip is also used for pre-storing the average running times per day of each amusement item in the amusement park.
More specifically, in the parameter big data parsing system, the system further includes: the parameter extraction equipment is respectively connected with the data capture equipment and the DDR SDRAM chip and is used for executing the following actions aiming at each amusement item in the amusement park: multiplying a current electronic queuing total for the attraction by a reference run time to obtain a current wait time; the recommendation degree analysis device is respectively connected with the parameter extraction device and the DDR SDRAM chip and is used for determining the visitor recommendation degree of each amusement item based on the current waiting time and the average running times per day of each amusement item; the image capturing device is arranged above the amusement park and used for executing aerial view capturing action on the environment where the amusement park is located so as to obtain and output a corresponding aerial view capturing image; the number estimation equipment is used for dividing the instant outdoor number of people by a preset percentage to obtain an estimated total number of people in the amusement park; and the holder driving equipment is connected with the holder structure and used for sending a driving control command to the holder structure so as to control the pitching motion and the horizontal motion of the holder structure.
According to another aspect of the present invention, there is also provided a parametric big data parsing method, the method comprising using a parametric big data parsing system as described above for determining a guest recommendation for each attraction based on a current waiting time and an average number of runs per day for the attraction.
The parameter big data analysis system provided by the invention is reliable in operation and effective in identification. The recommendation degree of the tourists of the amusement items is determined based on the current waiting time and the average running times per day of each amusement item, so that the tourists can conveniently select the amusement items.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view illustrating a scene of a single attraction in an amusement park to which a parameter big data parsing system is applied according to an embodiment of the present invention.
Detailed Description
An embodiment of the parameter big data parsing system of the present invention will be described in detail below with reference to the accompanying drawings.
There are several common methods for image processing.
1) Image transformation: processing directly in the spatial domain, due to the large image array, involves a large amount of computation. Therefore, various image transformation methods, such as indirect processing techniques like fourier transform, walsh transform, discrete cosine transform, etc., are often used to convert the spatial domain processing into transform domain processing, which not only reduces the amount of computation, but also achieves more efficient processing (e.g., fourier transform can perform digital filtering in the frequency domain). The wavelet transform which is newly researched and developed at present has good localization characteristics in both time domain and frequency domain, and has wide and effective application in image processing.
2) And (3) image coding compression: image coding compression techniques may reduce the amount of data (i.e., the number of bits) describing an image in order to save image transmission, processing time, and reduce the amount of memory occupied. The compression can be obtained without distortion or can be carried out under allowable distortion conditions. Coding is the most important method in compression technology, and it is the earliest and more mature technology in image processing technology.
3) Image enhancement and restoration: the purpose of image enhancement and restoration is to improve the quality of an image, such as removing noise, improving the sharpness of an image, and the like. Image enhancement highlights interesting parts of the image, regardless of the reason for image degradation. If the high-frequency component of the image is strengthened, the outline of an object in the image is clear, and the details are obvious; such as emphasizing low frequency components may reduce the noise contribution in the image. The image restoration requires some understanding of the reason for image degradation, and generally, a "degradation model" should be established according to the degradation process, and then a certain filtering method is adopted to restore or reconstruct the original image.
4) Image segmentation: image segmentation is one of the key techniques in digital image processing. The image segmentation is to extract a meaningful characteristic part in the image, wherein the meaningful characteristic is an edge, a region and the like in the image, and the meaningful characteristic is a basis for further image recognition, analysis and understanding. Although many methods for edge extraction and region segmentation have been studied at present, there is no effective method generally applicable to various images. Therefore, the research on image segmentation is still in depth, and is one of the hot spots studied in the current image processing.
5) Image description: image description is a necessary prerequisite for image recognition and understanding. As the simplest binary image, the geometric characteristics of the binary image can be used for describing the characteristics of an object, and a general image description method adopts two-dimensional shape description which has two types of methods of boundary description and region description. Two-dimensional texture characterization can be used for a particular texture image. With the intensive development of image processing research, research on three-dimensional object description has been started, and methods such as volume description, surface description, generalized cylinder description, and the like have been proposed.
6) Image classification (recognition): image classification (recognition) belongs to the category of pattern recognition, and the main content of the image classification (recognition) is that after certain preprocessing (enhancement, restoration and compression) is carried out on an image, image segmentation and feature extraction are carried out, so that judgment and classification are carried out. The image classification usually adopts a classical pattern recognition method, which includes statistical pattern classification and syntactic (structural) pattern classification, and in recent years, newly developed fuzzy pattern recognition and artificial neural network pattern classification are more and more emphasized in image recognition.
At present, due to the characteristics of numerous amusement projects, uneven dispersion and the like in an amusement park, data management is relatively disordered, particularly under the condition that tourists are numerous on holidays, for example, the tourists cannot know current running information of each amusement project, so that the tourists do not know how to select the amusement projects for playing, and a manager of the amusement park also lacks accurate total number of the amusement park.
In order to overcome the defects, the invention builds a parameter big data analysis system, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic view illustrating a scene of a single attraction in an amusement park to which a parameter big data parsing system is applied according to an embodiment of the present invention.
The parameter big data analysis system shown according to the embodiment of the invention comprises:
and the data capture equipment is arranged in a control room of the amusement park and is used for acquiring the total number of the current electronic serial numbers of each amusement item in the amusement park.
Next, a detailed configuration of the parameter big data analysis system of the present invention will be further described.
The parameter big data analysis system may further include:
the DDR SDRAM chip is used for pre-storing the time spent by each operation of each amusement item in the amusement park as reference operation time;
the DDR SDRAM chip is also used for pre-storing the average running times per day of each amusement item in the amusement park.
The parameter big data analysis system may further include:
the parameter extraction equipment is respectively connected with the data capture equipment and the DDR SDRAM chip and is used for executing the following actions aiming at each amusement item in the amusement park: multiplying a current electronic queuing total for the attraction by a reference run time to obtain a current wait time;
the recommendation degree analysis device is respectively connected with the parameter extraction device and the DDR SDRAM chip and is used for determining the visitor recommendation degree of each amusement item based on the current waiting time and the average running times per day of each amusement item;
the image capturing device is arranged above the amusement park and used for executing aerial view capturing action on the environment where the amusement park is located so as to obtain and output a corresponding aerial view capturing image;
the number estimation equipment is used for dividing the instant outdoor number of people by a preset percentage to obtain an estimated total number of people in the amusement park;
the holder driving device is connected with the holder structure and used for sending a driving control instruction to the holder structure so as to control the pitching motion and the horizontal motion of the holder structure;
the image capturing device comprises a holder structure and a plurality of CCD sensors which are uniformly spaced in pairs on the holder structure;
the quantity selection equipment is respectively connected with the day and night distinguishing equipment and the multi-view imager and is used for entering a night shooting mode when the current moment is night, opening a first preset quantity of CCD sensors and splicing all imaging contents of the first preset quantity of CCD sensors to obtain a field spliced image;
the morphological processing device is connected with the quantity selection device and is used for performing morphological processing on the received field splicing images to obtain corresponding morphological processing images;
the object identification device is respectively connected with the morphological processing device and the people number estimation device and is used for taking an image area with the similarity exceeding the geometric shape of a reference human body in the received morphological processing image as a human body object area and counting the number of the human body object areas in the morphological processing image to be output as the instant outdoor people number;
wherein, in the recommendation degree analysis device, the shorter the current waiting time of each attraction, the higher the guest recommendation degree of the attraction;
wherein, in the recommendation degree analysis device, the more the average number of operations per day of each attraction, the higher the guest recommendation degree of the attraction.
The parameter big data analysis system may further include:
and the power line communication equipment is connected with the morphological processing equipment and is used for sending the morphological processing image through a power line communication link.
In the parameter big data analysis system:
the morphology processing device comprises a content expansion unit and a content erosion unit, the content expansion unit is connected with the quantity selection device to receive the on-site mosaic image, and the content erosion unit is connected with the content expansion unit.
In the parameter big data analysis system:
the quantity selection equipment is further used for entering a daytime shooting mode when the current time is daytime, turning on a second preset quantity of CCD sensors, and combining all imaging contents of the second preset quantity of CCD sensors to obtain a field splicing image, wherein the first preset quantity is larger than the second preset quantity.
In the parameter big data analysis system:
in the number selection device, the first preset number is greater than the second preset number.
In the parameter big data analysis system:
the DDR SDRAM chip is further connected with the people number estimation device and used for storing the preset percentage.
Meanwhile, in order to overcome the defects, the invention also provides a parameter big data analysis method, which comprises the step of using the parameter big data analysis system for determining the recommendation degree of the tourists of each amusement item based on the current waiting time and the average running times per day of each amusement item.
In addition, Power Line Carrier-PLC communication is a special communication method for voice or data transmission using a Power Line as an information transmission medium. The power lines are generally classified into high, medium and low 3 types in the field of power carrier, 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 380/220V subscriber lines.
Power Line Carrier (PLC) is a communication method specific to a Power system, and Power Line Carrier communication is a technology for transmitting analog or digital signals at high speed by a Carrier method using an existing Power Line. The method has the greatest characteristic that data transmission can be carried out only by wires without erecting a network again.
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.
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 (7)
1. A parametric big data parsing system, the system comprising:
the data capture equipment is arranged in a control room of the amusement park and used for acquiring the total number of current electronic serial numbers of each amusement item in the amusement park;
the DDR SDRAM chip is used for pre-storing the time spent by each operation of each amusement item in the amusement park as reference operation time;
the DDR SDRAM chip is also used for pre-storing the average running times per day of each amusement item in the amusement park; the parameter extraction equipment is respectively connected with the data capture equipment and the DDR SDRAM chip and is used for executing the following actions aiming at each amusement item in the amusement park: multiplying a current electronic queuing total for the attraction by a reference run time to obtain a current wait time;
the recommendation degree analysis device is respectively connected with the parameter extraction device and the DDR SDRAM chip and is used for determining the visitor recommendation degree of each amusement item based on the current waiting time and the average running times per day of each amusement item;
the image capturing device is arranged above the amusement park and used for executing aerial view capturing action on the environment where the amusement park is located so as to obtain and output a corresponding aerial view capturing image;
the number estimation equipment is used for dividing the real-time outdoor number of people by a preset percentage to obtain an estimated total number of people in the amusement park;
the holder driving device is connected with the holder structure and used for sending a driving control instruction to the holder structure so as to control the pitching motion and the horizontal motion of the holder structure;
the image capturing device comprises a holder structure and a plurality of CCD sensors which are uniformly spaced in pairs on the holder structure;
the quantity selection equipment is respectively connected with the day and night distinguishing equipment and the multi-view imager and is used for entering a night shooting mode when the current moment is night, opening a first preset quantity of CCD sensors and splicing all imaging contents of the first preset quantity of CCD sensors to obtain a field spliced image;
the morphological processing device is connected with the quantity selection device and is used for performing morphological processing on the received field splicing images to obtain corresponding morphological processing images;
the object identification device is respectively connected with the morphological processing device and the people number estimation device and is used for taking an image area with the similarity exceeding the geometric shape of a reference human body in the received morphological processing image as a human body object area and counting the number of the human body object areas in the morphological processing image to be output as the instant outdoor people number;
wherein, in the recommendation degree analysis device, the shorter the current waiting time of each attraction, the higher the guest recommendation degree of the attraction;
wherein, in the recommendation degree analysis device, the more the average number of operations per day of each attraction, the higher the guest recommendation degree of the attraction.
2. The parametric big data parsing system of claim 1, wherein the system further comprises:
and the power line communication equipment is connected with the morphological processing equipment and is used for sending the morphological processing image through a power line communication link.
3. The parametric big data parsing system of claim 2, wherein:
the morphology processing device comprises a content expansion unit and a content erosion unit, the content expansion unit is connected with the quantity selection device to receive the on-site mosaic image, and the content erosion unit is connected with the content expansion unit.
4. The parametric big data resolution system of claim 3, wherein:
the quantity selection equipment is further used for entering a daytime shooting mode when the current time is daytime, turning on a second preset quantity of CCD sensors, and combining all imaging contents of the second preset quantity of CCD sensors to obtain a field splicing image, wherein the first preset quantity is larger than the second preset quantity.
5. The parametric big data resolution system of claim 4, wherein:
in the number selection device, the first preset number is greater than the second preset number.
6. The parametric big data resolution system of claim 5, wherein:
the DDR SDRAM chip is further connected with the people number estimation device and used for storing the preset percentage.
7. A parametric big data analytics method, the method comprising providing a parametric big data analytics system as claimed in any one of claims 1 to 6 for determining a guest recommendation for each attraction based on the current wait time and average number of runs per day for the attraction.
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| US20180284746A1 (en) * | 2016-05-09 | 2018-10-04 | StrongForce IoT Portfolio 2016, LLC | Methods and systems for data collection optimization in an industrial internet of things environment |
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