Cloud computing operation system

Abstract

The invention relates to a cloud computing operation system which comprises a cloud computing detection node, a wide-area capturing mechanism, a first mapping mechanism, a second mapping mechanism, a third mapping mechanism, a content resolution device and a strategy correction device. The cloud computing operation system is reliable in logic and easy and convenient to operate.

Description

Technical Field

[0001] The present invention relates to the field of cloud computing, and in particular to a cloud computing operating system. Background Art

[0002] Cloud computing has the characteristics of ultra-large scale, virtualization, high reliability, versatility, high scalability, on-demand service and extremely low cost. The application scenarios of cloud computing include finance, education, etc. Enterprises can obtain server, storage, database, network, software, analysis and business intelligence services through cloud computing, and use its excellent speed, scalability and flexibility to easily develop and realize business IT solution innovation.

[0003] CN119341930A provides a network management system and method based on cloud computing, which relates to the field of network communication. The network management system based on cloud computing includes four functional modules: a hardware resource layer module, a virtual resource layer module, a management layer module, and a system service layer. The hardware resource layer controls the hardware equipment of the network management system. The equipment controlled by the hardware resource layer module includes a network server, a data storage device, a router, and a switch. The virtual resource layer module includes a server virtualization function, a storage device virtualization function, and a network virtualization function. The technology automatically generates usage fees through an algorithm when a user uses cloud computing, and establishes transparent cost usage billing through the cost fees generated by the algorithm, so that the entire system is healthier in terms of management, and the fees that users should pay are conveniently calculated, guiding the whole system to develop in a healthy manner, and attracting more customers to use the network management system.

[0004] CN119322826A discloses a fully inductive intelligent digital interactive system driven by cloud-edge computing, including the following steps: step S1, voice input and understanding; step S2, environmental perception and analysis; through step S3, generating response content; step S4, matching response voice with action; converting the response content in step S3 into response voice, and synchronously generating corresponding action data; driving the data character image on the display screen to make corresponding actions through action data; step S5, the system continuously collects user interaction data, and through big data analysis and machine learning algorithms, the system can continuously optimize the response content and interaction mode. The method in this technology, through the steps of voice input and understanding, environmental perception and analysis, and personalized learning optimization, the system can understand user needs, analyze the user's situation, and intelligently generate personalized response content, thereby improving the interactive experience between the user and the system.

[0005] CN119323452A discloses a customer data integrated management system and method based on cloud computing, which relates to the field of customer data management technology, including a behavior network construction module, which is used to collect customer data to construct a customer behavior network topology structure, identify potential associations between customers, and mine common behavior characteristics of customers; an interest map generation module, which is used to generate a customer interest map based on the mined association information, and identify the customer key behavior nodes in the customer interest map; a personalized recommendation module, which is used to calculate the demand confidence index of each customer based on the key behavior nodes to generate a personalized recommendation plan. This technology constructs a customer behavior network topology structure by calculating the spatiotemporal co-occurrence of customer behavior, can accurately identify potential associations between customers, deeply mine the common behavior characteristics of customers, generate a customer interest map, and then generate a more accurate personalized recommendation plan, which can significantly improve the efficiency of customer management and marketing. Summary of the invention

[0006] In order to overcome the technical problems in the prior art, the present invention proposes a cloud computing operating system, which can perform inter-frame coding on a wide-area captured picture obtained by a wide-field picture capture action performed on a set river in a fixed area. The number of pixels occupied by the coding blocks used is monotonically positively correlated with the percentage of the area occupied by the river imaging area, so that the size of the coding blocks used in the inter-frame coding process matches the number of pixels occupied by the river as much as possible, thereby improving the coding quality and coding efficiency of the dangerous water area picture.

[0007] According to the present invention, a cloud computing operating system is provided, the system comprising: The cloud computing detection node is used to issue a capture start instruction when the water level of the set river in the fixed area is greater than or equal to the preset water level limit, and is also used to issue a capture end instruction when the water level of the set river in the fixed area is less than the preset water level limit; A wide-area capture mechanism, arranged on the river bank and wirelessly connected to the cloud computing detection node, is used to execute a wide-field image capture action on a set river in a fixed area upon receiving the capture start instruction, so as to obtain and output a corresponding wide-area capture image; A first mapping mechanism, disposed in a control box at the river bank and connected to the wide-area capture mechanism, for performing arithmetic mean filtering on the received wide-area capture picture to obtain and output a corresponding first mapping picture; A second mapping mechanism, disposed in the control box and connected to the first mapping mechanism, for performing grayscale transformation enhancement processing on the received first mapping picture to obtain and output a corresponding second mapping picture; A third mapping mechanism, disposed in the control box and connected to the second mapping mechanism, for performing bilateral filtering on the received second mapping picture to obtain and output a corresponding third mapping picture; a content distinguishing device connected to the third mapping mechanism, for identifying a river imaging region in the received third mapping picture based on a grayscale value distribution interval of the river, and obtaining an area percentage occupied by the river imaging region in the third mapping picture; a strategy correction device, connected to the content resolution device, for determining the number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture; Wherein, determining the number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture includes: the determined number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture picture is monotonically positively correlated with the area percentage occupied by the river imaging area in the third mapping picture; Among them, identifying the river imaging area in the received third mapping picture based on the grayscale value distribution interval of the river, and obtaining the area percentage occupied by the river imaging area in the third mapping picture includes: taking the pixel points whose grayscale values ​​in the third mapping picture are within the grayscale value distribution interval of the river as the single river constituent pixel points in the third mapping picture.

[0008] It can be seen that the present invention has at least the following three important inventive features: Important invention point A: The cloud computing detection node is introduced to issue a capture start instruction when detecting that the water level of a set river in a fixed area is greater than or equal to a preset water level limit, so as to trigger a wide-area capture mechanism arranged on the river bank and wirelessly connected to the cloud computing detection node to perform a wide-field image capture action on the set river in the fixed area, so as to obtain and output a corresponding wide-area capture image, thereby realizing a customized monitoring trigger mechanism that performs visual monitoring of the river only in a dangerous deep water state; Important invention point B: arithmetic mean filtering, grayscale transformation enhancement and bilateral filtering are successively performed on the received wide-area captured image to obtain and output a third mapping image with better image quality, and a river imaging area in the received third mapping image is identified based on the grayscale value distribution interval of the river, and the area percentage occupied by the river imaging area in the third mapping image is obtained; Important invention point C: A strategy correction device is introduced to determine the number of pixels occupied by the coding block used for inter-frame coding of the wide-area capture image as a whole based on the percentage of the area occupied by the river imaging area in the third mapping image, wherein the determined number of pixels occupied by the coding block used for inter-frame coding of the wide-area capture image as a whole is monotonically positively correlated with the percentage of the area occupied by the river imaging area in the third mapping image, so that the size of the coding block used in the inter-frame coding process matches the number of pixels occupied by the river as much as possible, thereby improving the coding quality and coding efficiency of the dangerous water area images.

[0009] The cloud computing operating system of the present invention has reliable logic and is easy to operate. Since the number of pixels occupied by the coding block used for the overall inter-frame coding of the wide-area captured image obtained for a set river in a fixed area is monotonically positively correlated with the area percentage occupied by the river imaging area, the size of the coding block is matched to the number of pixels occupied by the river as much as possible, thereby improving the encoding quality and encoding efficiency of the image. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0011] Figure 1 It is a block diagram of the internal structure of a cloud computing operating system according to Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0012] Obviously, as a new technology, cloud computing has its unique latecomer advantage. People hope that it will have a broader application field. For example, cloud computing can be applied to the processing of monitoring images in specific scenarios. The processing of monitoring images with specific objects can be matched with the characteristics of specific objects to make the processing effect more suitable for specific objects, thereby improving the processing effect of monitoring images and the monitoring effect. The existing technology lacks a targeted solution mechanism.

[0013] The implementation scheme of the cloud computing operating system of the present invention will be described in detail below with reference to the accompanying drawings.

[0014] Figure 1 The internal structure block diagram of the cloud computing operating system according to Embodiment 1 of the present invention is shown, and the system includes: The cloud computing detection node is used to issue a capture start instruction when the water level of the set river in the fixed area is greater than or equal to the preset water level limit, and is also used to issue a capture end instruction when the water level of the set river in the fixed area is less than the preset water level limit; For example, the cloud computing detection node is used to issue a capture start instruction when detecting that the water level of a set river in a fixed area is greater than or equal to a preset water level limit, and is also used to issue a capture end instruction when detecting that the water level of a set river in a fixed area is less than the preset water level limit, including: the cloud computing detection node is a cloud service network element; A wide-area capture mechanism, arranged on the river bank and wirelessly connected to the cloud computing detection node, is used to execute a wide-field image capture action on a set river in a fixed area upon receiving the capture start instruction, so as to obtain and output a corresponding wide-area capture image; For example, the wide-area capture mechanism is arranged on the river bank and is wirelessly connected to the cloud computing detection node, and is used to perform a wide-field image capture action on a set river in a fixed area upon receiving the capture start instruction, so as to obtain and output a corresponding wide-area capture image, including: the wide-area capture mechanism has a built-in CCD sensor; A first mapping mechanism, disposed in a control box at the river bank and connected to the wide-area capture mechanism, for performing arithmetic mean filtering on the received wide-area capture picture to obtain and output a corresponding first mapping picture; Specifically, an FPGA chip may be selected to implement the first mapping mechanism, which is disposed in a control box on the river bank and connected to the wide-area capture mechanism, and is used to perform arithmetic mean filtering on the received wide-area capture picture to obtain and output a corresponding first mapping picture; A second mapping mechanism, disposed in the control box and connected to the first mapping mechanism, for performing grayscale transformation enhancement processing on the received first mapping picture to obtain and output a corresponding second mapping picture; A third mapping mechanism, disposed in the control box and connected to the second mapping mechanism, for performing bilateral filtering on the received second mapping picture to obtain and output a corresponding third mapping picture; a content distinguishing device connected to the third mapping mechanism, for identifying a river imaging region in the received third mapping picture based on a grayscale value distribution interval of the river, and obtaining an area percentage occupied by the river imaging region in the third mapping picture; a strategy correction device, connected to the content resolution device, for determining the number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture; Wherein, determining the number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture includes: the determined number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture picture is monotonically positively correlated with the area percentage occupied by the river imaging area in the third mapping picture; Wherein, identifying the river imaging area in the received third mapping picture based on the grayscale value distribution interval of the river, and obtaining the area percentage occupied by the river imaging area in the third mapping picture includes: taking the pixel points whose grayscale values ​​in the third mapping picture are within the grayscale value distribution interval of the river as the single river constituting pixel points in the third mapping picture; The wide-area capture mechanism is arranged on the river bank and is wirelessly connected to the cloud computing detection node, and is used to execute a wide-field image capture action on a set river in a fixed area upon receiving the capture start instruction, so as to obtain and output a corresponding wide-area capture image, including: the viewing angle corresponding to the wide field of view is greater than or equal to 270 degrees; The wide-area capture mechanism is further used to temporarily suspend the wide-view image capture action for a set river in a fixed area when receiving the capture end instruction; The determined number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture image and the area percentage occupied by the river imaging area in the third mapping image are monotonically positively correlated, including: using a numerical conversion function to represent the numerical conversion relationship of the determined number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture image and the area percentage occupied by the river imaging area in the third mapping image; The numerical conversion relationship of the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area captured image and the area percentage occupied by the river imaging area in the third mapping image, which is determined by using a numerical conversion function, includes: in the numerical conversion function, the area percentage occupied by the river imaging area in the third mapping image is the input value of the numerical conversion function; And wherein, the numerical conversion relationship of the monotonically positive correlation between the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture image and the area percentage occupied by the river imaging area in the third mapping image using a numerical conversion function also includes: in the numerical conversion function, the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture image is the output value of the numerical conversion function; and wherein the reference waveform signal of the step of determining the number of pixels occupied by the coding blocks used for performing inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture is generated by a signal generating element; and wherein the reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture is generated by a signal generating element comprises: the signal generating element comprises a waveform generating component; and wherein the reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture is generated by the signal generating element further comprising: the waveform generating component generates a rectangular wave; and wherein the reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture is generated by a signal generating element further comprising: using a programmable logic device to implement the waveform generating component; and wherein the reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture is generated by a signal generating element further comprising: the programmable logic device is a GAL device; and wherein the reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture is generated by a signal generating element further comprising: the programmable logic device is an FPGA device; And wherein, the reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the wide-area capture image as a whole based on the percentage of area occupied by the river imaging area in the third mapping image is generated by a signal generating element, which also includes: the programmable logic device is a CPLD device designed using VHDL language.

[0015] In addition, in the cloud computing operating system, identifying the river imaging area in the received third mapping picture based on the grayscale value distribution interval of the river, and obtaining the percentage of area occupied by the river imaging area in the third mapping picture also includes: taking the percentage of the total number of pixel points constituting the river in the third mapping picture to the total number of pixel points in the third mapping picture as the percentage of area occupied by the river imaging area in the third mapping picture.

[0016] Although some preferred embodiments of the present invention have been shown and described, those skilled in the art will appreciate that changes may be made to these embodiments without departing from the principles and spirit of the invention, and the scope thereof also falls within the scope defined by the claims of the present invention and their equivalents.

Claims

1. A cloud computing operating system, characterized in that: The system comprises: The cloud computing detection node is used to issue a capture start instruction when the water level of the set river in the fixed area is greater than or equal to the preset water level limit, and is also used to issue a capture end instruction when the water level of the set river in the fixed area is less than the preset water level limit; A wide-area capture mechanism, arranged on the river bank and wirelessly connected to the cloud computing detection node, is used to execute a wide-field image capture action on a set river in a fixed area upon receiving the capture start instruction, so as to obtain and output a corresponding wide-area capture image; A first mapping mechanism, disposed in a control box at the river bank and connected to the wide-area capture mechanism, for performing arithmetic mean filtering on the received wide-area capture picture to obtain and output a corresponding first mapping picture; A second mapping mechanism, disposed in the control box and connected to the first mapping mechanism, for performing grayscale transformation enhancement processing on the received first mapping picture to obtain and output a corresponding second mapping picture; A third mapping mechanism, disposed in the control box and connected to the second mapping mechanism, for performing bilateral filtering on the received second mapping picture to obtain and output a corresponding third mapping picture; a content distinguishing device connected to the third mapping mechanism, for identifying a river imaging region in the received third mapping picture based on a grayscale value distribution interval of the river, and obtaining an area percentage occupied by the river imaging region in the third mapping picture; a strategy correction device, connected to the content resolution device, for determining the number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture; Wherein, determining the number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture includes: the determined number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture picture is monotonically positively correlated with the area percentage occupied by the river imaging area in the third mapping picture; Among them, identifying the river imaging area in the received third mapping picture based on the grayscale value distribution interval of the river, and obtaining the area percentage occupied by the river imaging area in the third mapping picture includes: taking the pixel points whose grayscale values ​​in the third mapping picture are within the grayscale value distribution interval of the river as the single river constituent pixel points in the third mapping picture.

2. The cloud computing operating system according to claim 1, wherein: A wide-area capture mechanism is arranged on the river bank and is wirelessly connected to the cloud computing detection node, and is used to execute a wide-field image capture action on a set river in a fixed area upon receiving the capture start instruction, so as to obtain and output a corresponding wide-area capture image, including: the viewing angle corresponding to the wide field of view is greater than or equal to 270 degrees; The wide-area capture mechanism is further used to temporarily suspend the wide-view image capture action for a set river in a fixed area when receiving the capture end instruction; The determined number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture image and the area percentage occupied by the river imaging area in the third mapping image are monotonically positively correlated, including: using a numerical conversion function to represent the numerical conversion relationship of the determined number of pixels occupied by the coding block used for performing inter-frame coding on the entire wide-area capture image and the area percentage occupied by the river imaging area in the third mapping image; The numerical conversion relationship of the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area captured image and the area percentage occupied by the river imaging area in the third mapping image, which is determined by using a numerical conversion function, includes: in the numerical conversion function, the area percentage occupied by the river imaging area in the third mapping image is the input value of the numerical conversion function; Among them, the numerical conversion relationship that uses a numerical conversion function to represent the monotonically positive correlation between the number of pixels occupied by the coding blocks used to perform inter-frame coding on the entire wide-area capture image and the percentage of area occupied by the river imaging area in the third mapping image also includes: in the numerical conversion function, the number of pixels occupied by the coding blocks used to perform inter-frame coding on the entire wide-area capture image is the output value of the numerical conversion function.

3. The cloud computing operating system according to claim 2, wherein: The reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture picture based on the area percentage occupied by the river imaging area in the third mapping picture is generated by the signal generating element.

4. The cloud computing operating system according to claim 3, wherein: The reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture image based on the percentage of area occupied by the river imaging area in the third mapping image is generated by a signal generating element, including: the signal generating element includes a waveform generating component.

5. The cloud computing operating system according to claim 4, wherein: The reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture image based on the percentage of area occupied by the river imaging area in the third mapping image is generated by the signal generating element, which also includes: the waveform generating component generates a rectangular wave.

6. The cloud computing operating system according to claim 5, characterized in that: The reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the wide-area capture image as a whole based on the percentage of area occupied by the river imaging area in the third mapping image is generated by a signal generating element, which also includes: using a programmable logic device to implement the waveform generating component.

7. The cloud computing operating system according to claim 6, wherein: The reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the wide-area capture image as a whole based on the percentage of area occupied by the river imaging area in the third mapping image is generated by the signal generating element, which also includes: the programmable logic device is a GAL device.

8. The cloud computing operating system according to claim 6, wherein: The reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the entire wide-area capture image based on the percentage of area occupied by the river imaging area in the third mapping image is generated by the signal generating element, which also includes: the programmable logic device is an FPGA device.

9. The cloud computing operating system according to claim 6, wherein: The reference waveform signal of the step of determining the number of pixels occupied by the coding block used to perform inter-frame coding on the wide-area capture image as a whole based on the percentage of area occupied by the river imaging area in the third mapping image is generated by a signal generating element, and also includes: the programmable logic device is a CPLD device designed using VHDL language.

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