CN111832987A - Big data processing platform and method based on three-dimensional content - Google Patents
Big data processing platform and method based on three-dimensional content Download PDFInfo
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Abstract
The invention relates to a big data processing platform and a method based on three-dimensional content, wherein the platform comprises: the manual analysis mechanism is connected with the big data processing network element through a network and is used for determining and outputting the number of personnel required by a single day in direct proportion to the occupied volume of the carton entity based on the volume of the carton transported by a single person in a single day; the stereoscopic drawing mechanism is used for drawing a stereoscopic distribution map of the carton in the express storage warehouse based on the horizontal and vertical coordinates and the depth of field data of each carton pixel in the current sharpened image; and the big data processing network element is used for estimating the occupied volume of the carton entity based on the imaging focal length of the panoramic acquisition mechanism and the stereoscopic volume of the carton stereoscopic distribution diagram. The big data processing platform and method based on the three-dimensional content are intelligent in drawing and reliable in data. Because can draw the existing carton distribution stereogram in the express delivery storage warehouse to judge the personnel quantity or the machine quantity that the transport needs, thereby strengthened the intelligent level that the warehouse was managed in the express delivery storage warehouse.
Description
Technical Field
The invention relates to the field of big data, in particular to a big data processing platform and a big data processing method based on three-dimensional content.
Background
The strategic significance of big data technology is not to grasp huge data information, but to specialize the data containing significance. In other words, if big data is compared to an industry, the key to realizing profitability in the industry is to improve the "processing ability" of the data and realize the "value-added" of the data through the "processing".
Technically, the relation between big data and cloud computing is as inseparable as the front and back of a coin. The large data cannot be processed by a single computer necessarily, and a distributed architecture must be adopted. The method is characterized in that distributed data mining is carried out on mass data. But it must rely on distributed processing of cloud computing, distributed databases and cloud storage, virtualization technologies.
With the advent of the cloud era, Big data (Big data) has attracted more and more attention. The team of analysts believes that large data (Big data) is often used to describe the large amount of unstructured and semi-structured data created by a company that can take excessive time and money to download to a relational database for analysis. Big data analysis is often tied to cloud computing because real-time large dataset analysis requires a MapReduce-like framework to distribute work to tens, hundreds, or even thousands of computers.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a large data processing platform based on three-dimensional content, which can draw a three-dimensional map of the distribution of the existing cartons in an express storage warehouse on site and judge the number of people or machines required for transportation based on the three-dimensional map of the distribution of the existing cartons.
Therefore, the invention needs to have the following three important points:
(1) detecting various parameters of the existing cartons of the express storage warehouse by adopting a targeted detection mechanism, and automatically drawing a distribution stereogram of the existing cartons of the express storage warehouse based on a detection result;
(2) estimating the entity volume of the existing carton in the express storage warehouse based on the drawn carton distribution stereo image and the imaging focal distance of the imaging equipment;
(3) the number of carrying personnel required for a single day in proportion to the occupied volume of the carton entity is determined and output based on the single-person single-day transportation carton volume, and the number of carrying machines required for a single day in proportion to the occupied volume of the carton entity is determined and output based on the single-person single-day transportation carton volume.
According to an aspect of the present invention, there is provided a big data processing platform based on stereoscopic content, the platform comprising:
the manual analysis mechanism is connected with the big data processing network element through a network and used for receiving the occupied volume of the carton entity, determining and outputting the number of persons required by one day in direct proportion to the occupied volume of the carton entity based on the volume of the carton transported by one person for one day;
the panoramic acquisition mechanism is arranged at the top of the express storage warehouse and used for executing image acquisition actions on a storage scene according to a shooting time interval and an exposure level which are preset manually so as to obtain corresponding timing acquisition images;
the data sharpening device is arranged in an electric control box of the express storage warehouse and used for carrying out image data sharpening on the received regularly acquired image so as to obtain a current sharpened image;
the first extraction device is connected with the data sharpening device and used for extracting each carton pixel forming a carton imaging area from the current sharpened image based on a carton brightness distribution range;
the second extraction equipment is connected with the first extraction equipment and used for acquiring the depth-of-field data of each carton pixel in the current sharpened image;
the stereoscopic drawing mechanism is respectively connected with the first extraction device and the second extraction device and used for drawing a carton stereoscopic distribution map in the express storage warehouse based on the horizontal and vertical coordinates and the depth of field data of each carton pixel in the current sharpened image;
the big data processing network element is connected with the three-dimensional drawing mechanism through a network and used for estimating the occupied volume of the carton entity in the express storage warehouse based on the imaging focal length of the panoramic acquisition mechanism and the three-dimensional volume of the carton three-dimensional distribution diagram;
estimating the occupied volume of the carton entity in the express storage warehouse based on the imaging focal length of the panoramic acquisition mechanism and the stereoscopic volume of the carton stereoscopic distribution map comprises the following steps: the closer the imaging focal distance of the panoramic acquisition mechanism is, the larger the estimated numerical value of the occupied volume of the carton entity in the express storage warehouse is;
wherein, the required personnel quantity of single day is with the whole required personnel quantity of transporting away of the existing carton in express delivery storage warehouse.
According to another aspect of the invention, a big data processing method based on stereoscopic content is further provided, and the method comprises the step of using the big data processing platform based on stereoscopic content to perform big data processing on the automatically drawn existing carton distribution perspective of the express storage warehouse so as to obtain related transportation data.
The big data processing platform and method based on the three-dimensional content are intelligent in drawing and reliable in data. Because can draw the existing carton distribution stereogram in the express delivery storage warehouse to judge the personnel quantity or the machine quantity that the transport needs, thereby strengthened the intelligent level that the warehouse was managed in the express delivery storage warehouse.
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 large data processing platform based on stereoscopic content according to an embodiment of the present invention.
Detailed Description
Embodiments of a stereoscopic content-based big data processing platform and method according to the present invention will be described in detail with reference to the accompanying drawings.
Warehouse Logistics (Warehousing Logitics) is to use self-built or leased storehouses, sites, storage, loading, unloading, carrying and goods distribution. Traditional warehouse definitions are given from the perspective of material reserves. Modern warehousing is not warehousing and warehouse management in the traditional sense, but warehousing under the background of integration of economic globalization and supply chain, and is warehousing in a modern logistics system.
As logistics evolves toward supply chain management, businesses increasingly emphasize the unique role of warehousing as one resource provider in the supply chain. The warehouse is not only a warehouse for storing goods. The change of the warehouse role is summarized by a sentence, and is the conversion of the warehouse to the distribution center. The essential differences between the traditional warehouse and the distribution center are as follows: the warehouse is focused on managing space, and the distribution center is more focused on managing time (i.e., article turnover speed), so the essential difference between the two is that the distribution center manages both space and time.
At present, when selling in a busy season every twenty-one or other selling festivals, the express delivery cartons in the express delivery storage warehouses of each express delivery service department are in endless in site, and at this time, a large amount of manpower and machines are required to be arranged to carry out the transportation work of the express delivery cartons, however, the number of the manpower and the machines is difficult to determine, if a relatively large number of the manpower and the machines are used, the transportation capacity is easily wasted, and the expected warehouse clearing effect cannot be achieved by using relatively few the manpower and the machines.
In order to overcome the defects, the invention builds a large data processing platform and a method based on three-dimensional content, and can effectively solve the corresponding technical problems.
Fig. 1 is a schematic structural diagram illustrating a big data processing platform based on stereoscopic content according to an embodiment of the present invention, where the platform includes:
the manual analysis mechanism is connected with the big data processing network element through a network and used for receiving the occupied volume of the carton entity, determining and outputting the number of persons required by one day in direct proportion to the occupied volume of the carton entity based on the volume of the carton transported by one person for one day;
the panoramic acquisition mechanism is arranged at the top of the express storage warehouse and used for executing image acquisition actions on a storage scene according to a shooting time interval and an exposure level which are preset manually so as to obtain corresponding timing acquisition images;
the data sharpening device is arranged in an electric control box of the express storage warehouse and used for carrying out image data sharpening on the received regularly acquired image so as to obtain a current sharpened image;
the first extraction device is connected with the data sharpening device and used for extracting each carton pixel forming a carton imaging area from the current sharpened image based on a carton brightness distribution range;
the second extraction equipment is connected with the first extraction equipment and used for acquiring the depth-of-field data of each carton pixel in the current sharpened image;
the stereoscopic drawing mechanism is respectively connected with the first extraction device and the second extraction device and used for drawing a carton stereoscopic distribution map in the express storage warehouse based on the horizontal and vertical coordinates and the depth of field data of each carton pixel in the current sharpened image;
the big data processing network element is connected with the three-dimensional drawing mechanism through a network and used for estimating the occupied volume of the carton entity in the express storage warehouse based on the imaging focal length of the panoramic acquisition mechanism and the three-dimensional volume of the carton three-dimensional distribution diagram;
estimating the occupied volume of the carton entity in the express storage warehouse based on the imaging focal length of the panoramic acquisition mechanism and the stereoscopic volume of the carton stereoscopic distribution map comprises the following steps: the closer the imaging focal distance of the panoramic acquisition mechanism is, the larger the estimated numerical value of the occupied volume of the carton entity in the express storage warehouse is;
wherein, the required personnel quantity of single day is with the whole required personnel quantity of transporting away of the existing carton in express delivery storage warehouse.
Next, the specific structure of the stereoscopic content-based big data processing platform of the present invention will be further described.
In the stereo content-based big data processing platform:
estimating the occupied volume of the carton entity in the express storage warehouse based on the imaging focal length of the panoramic acquisition mechanism and the stereoscopic volume of the carton stereoscopic distribution map comprises: the larger the numerical value of the three-dimensional volume of the carton three-dimensional distribution map is, the larger the estimated numerical value of the occupied volume of the carton entity in the express storage warehouse is.
The stereoscopic content-based big data processing platform can further comprise:
and the machine analysis mechanism is connected with the big data processing network element through a network and is used for receiving the occupied volume of the carton entity, determining and outputting the number of machines required by one day in direct proportion to the occupied volume of the carton entity based on the single-machine single-day transportation of the carton entity.
In the stereo content-based big data processing platform:
the number of machines required for a single day is the number of carrying machines required for transporting out all the existing cartons of the express storage warehouse.
In the stereo content-based big data processing platform:
the first extraction device, the second extraction device and the stereo drawing mechanism are connected with the same quartz oscillation device;
the first extraction device, the second extraction device and the stereo drawing mechanism are respectively used for acquiring time sequence data provided by the quartz oscillation device.
In the stereo content-based big data processing platform:
the three-dimensional drawing mechanism is provided with a plurality of heat dissipation holes, and the plurality of heat dissipation holes are uniformly distributed on the shell of the three-dimensional drawing mechanism.
In the stereo content-based big data processing platform:
the second extraction device is implemented by a field programmable logic device designed based on the VHDL language.
The stereoscopic content-based big data processing platform can further comprise:
and the pressure sensing equipment is arranged inside the first extraction equipment and used for sensing the internal pressure of the first extraction equipment.
The stereoscopic content-based big data processing platform can further comprise:
the pressure alarm device is positioned on the left side of the pressure sensing device and is connected with the pressure sensing device;
the pressure alarm device is used for executing corresponding pressure alarm operation when the received internal pressure of the first extraction device exceeds the limit.
Meanwhile, in order to overcome the defects, the invention also builds a big data processing method based on the three-dimensional content, and the method comprises the step of using the big data processing platform based on the three-dimensional content to execute big data processing on the automatically drawn existing carton distribution stereogram of the express storage warehouse so as to obtain the related transportation data.
In addition, VHDL is mainly used to describe the structure, behavior, function, and interface of a digital system. Except for the fact that it contains many statements with hardware features, the linguistic form, description style, and syntax of VHDL are very similar to a general computer high-level language. The structural features of the VHDL program are to divide an engineering design, or design entity (which may be a component, a circuit module or a system) into an external (or visible part, and port) and an internal (or invisible part), which relate to the internal functions and algorithm completion of the entity. After an external interface is defined for a design entity, once its internal development is complete, other designs can invoke the entity directly. This concept of dividing the design entity into inner and outer parts is the fundamental point of VHDL system design.
VHDL has powerful language structure, and can describe complex logic control by simple and clear source code. The method has a multi-level design description function, is refined layer by layer, and can directly generate circuit level description. VHDL supports the design of synchronous, asynchronous, and random circuits, which is incomparable with other hardware description languages. VHDL also supports various design methods, both bottom-up and top-down; the method supports both modular design and hierarchical design.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A stereoscopic content-based big data processing platform, the platform comprising:
the manual analysis mechanism is connected with the big data processing network element through a network and used for receiving the occupied volume of the carton entity, determining and outputting the number of persons required by one day in direct proportion to the occupied volume of the carton entity based on the volume of the carton transported by one person for one day;
the panoramic acquisition mechanism is arranged at the top of the express storage warehouse and used for executing image acquisition actions on a storage scene according to a shooting time interval and an exposure level which are preset manually so as to obtain corresponding timing acquisition images;
the data sharpening device is arranged in an electric control box of the express storage warehouse and used for carrying out image data sharpening on the received regularly acquired image so as to obtain a current sharpened image;
the first extraction device is connected with the data sharpening device and used for extracting each carton pixel forming a carton imaging area from the current sharpened image based on a carton brightness distribution range;
the second extraction equipment is connected with the first extraction equipment and used for acquiring the depth-of-field data of each carton pixel in the current sharpened image;
the stereoscopic drawing mechanism is respectively connected with the first extraction device and the second extraction device and used for drawing a carton stereoscopic distribution map in the express storage warehouse based on the horizontal and vertical coordinates and the depth of field data of each carton pixel in the current sharpened image;
the big data processing network element is connected with the three-dimensional drawing mechanism through a network and used for estimating the occupied volume of the carton entity in the express storage warehouse based on the imaging focal length of the panoramic acquisition mechanism and the three-dimensional volume of the carton three-dimensional distribution diagram;
estimating the occupied volume of the carton entity in the express storage warehouse based on the imaging focal length of the panoramic acquisition mechanism and the stereoscopic volume of the carton stereoscopic distribution map comprises the following steps: the closer the imaging focal distance of the panoramic acquisition mechanism is, the larger the estimated numerical value of the occupied volume of the carton entity in the express storage warehouse is;
wherein, the required personnel quantity of single day is with the whole required personnel quantity of transporting away of the existing carton in express delivery storage warehouse.
2. The stereoscopic content based big data processing platform as claimed in claim 1, wherein:
estimating the occupied volume of the carton entity in the express storage warehouse based on the imaging focal length of the panoramic acquisition mechanism and the stereoscopic volume of the carton stereoscopic distribution map comprises: the larger the numerical value of the three-dimensional volume of the carton three-dimensional distribution map is, the larger the estimated numerical value of the occupied volume of the carton entity in the express storage warehouse is.
3. The stereoscopic content-based big data processing platform as claimed in claim 2, wherein the platform further comprises:
and the machine analysis mechanism is connected with the big data processing network element through a network and is used for receiving the occupied volume of the carton entity, determining and outputting the number of machines required by one day in direct proportion to the occupied volume of the carton entity based on the single-machine single-day transportation of the carton entity.
4. The big data processing platform based on stereoscopic content according to claim 3, wherein:
the number of machines required for a single day is the number of carrying machines required for transporting out all the existing cartons of the express storage warehouse.
5. The big data processing platform based on stereoscopic content according to claim 4, wherein:
the first extraction device, the second extraction device and the stereo drawing mechanism are connected with the same quartz oscillation device;
the first extraction device, the second extraction device and the stereo drawing mechanism are respectively used for acquiring time sequence data provided by the quartz oscillation device.
6. The big data processing platform based on stereoscopic content according to claim 5, wherein:
the three-dimensional drawing mechanism is provided with a plurality of heat dissipation holes, and the plurality of heat dissipation holes are uniformly distributed on the shell of the three-dimensional drawing mechanism.
7. The big data processing platform based on stereoscopic content according to claim 6, wherein:
the second extraction device is implemented by a field programmable logic device designed based on the VHDL language.
8. The stereoscopic content-based big data processing platform as claimed in claim 7, wherein the platform further comprises:
and the pressure sensing equipment is arranged inside the first extraction equipment and used for sensing the internal pressure of the first extraction equipment.
9. The stereoscopic content-based big data processing platform as claimed in claim 8, wherein the platform further comprises:
the pressure alarm device is positioned on the left side of the pressure sensing device and is connected with the pressure sensing device;
the pressure alarm device is used for executing corresponding pressure alarm operation when the received internal pressure of the first extraction device exceeds the limit.
10. A method for big data processing based on stereoscopic content, the method comprising using a big data processing platform based on stereoscopic content according to any one of claims 1 to 9 to perform big data processing on an automatically drawn express storage warehouse existing carton distribution stereogram to obtain related transportation data.
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