CN112101835B - Product sorting system applying cloud computing - Google Patents
Product sorting system applying cloud computing Download PDFInfo
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- CN112101835B CN112101835B CN202010131915.1A CN202010131915A CN112101835B CN 112101835 B CN112101835 B CN 112101835B CN 202010131915 A CN202010131915 A CN 202010131915A CN 112101835 B CN112101835 B CN 112101835B
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- G—PHYSICS
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- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
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- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/38—Collecting or arranging articles in groups
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- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
- G01N21/894—Pinholes
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Abstract
The invention relates to a product sorting system applying cloud computing, which comprises: the box body production line is used for producing express boxes and comprises a box body conveying mechanism, a rotating shaft, a permanent magnet brushless motor, a fixed point acquisition mechanism and field counting equipment; the cloud computing network element is used for carrying out mean value computation on the distance between every two pixel points when the number of the pixel points with the gray values between the upper hole gray threshold and the lower hole gray threshold in the real-time filtering image exceeds the limit, and sending out a hole identification signal when the mean value is smaller than a preset mean value threshold; and the field sorting equipment is connected with the cloud computing network element through a network and used for pushing the express boxes right below the fixed point acquisition mechanism into the waste storage box when receiving the hole identification signal. The product sorting system applying cloud computing is compact in design and intelligent in operation. Because the processing capacity of cloud computing can be fully utilized to carry out flaw identification on the appearance of the on-site express box, the product sorting efficiency is ensured.
Description
Technical Field
The invention relates to the field of cloud computing processing, in particular to a product sorting system applying cloud computing.
Background
Express delivery is also called express delivery or express delivery, and refers to a novel transportation mode in which a logistics enterprise (including a freight transport agent) delivers a file or a package entrusted by a user from a sender to a receiver quickly and safely through an independent network of the logistics enterprise or in a combined cooperation mode (namely networking).
Express delivery is classified into broad and narrow. Express delivery in the broad sense refers to the delivery of any item (including bulk items); while express delivery in a narrow sense refers exclusively to emergency delivery services for business documents and small items. Express delivery generally refers to express delivery service completed within 48 hours from the standard of service.
Because the goods size of express delivery, the difference of type, the express delivery box of different sizes need be customized, and in the in-service use, the sorting personnel often will face magnanimity not express delivery box of size, and the mode of its manual sorting is too primitive and inefficiency, if can use the cloud computing mode that is fit for quick data processing, will help accomplishing the letter sorting action of magnanimity not express delivery box of size rapidly.
Disclosure of Invention
The invention has at least the following two important points:
(1) adopting a cloud computing network element to carry out hole detection on the express box which is just pushed by the production line and is in an open state so as to sort out unqualified products, qualified products and undetermined products;
(2) adopt on-spot letter sorting equipment and including the waste product store the box, wait to decide to store the box and the many storage box structures of box are stored to the product to realize the difference propelling movement of the product of different qualification degrees, thereby promoted the automation level of express delivery case production line.
According to an aspect of the present invention, there is provided a product sorting system using cloud computing, the system including:
the box body production line is used for producing express boxes and comprises a box body conveying mechanism, a rotating shaft, a permanent magnet brushless motor, a fixed point acquisition mechanism and field counting equipment;
the box body conveying mechanism is driven by the rotating shaft to sequentially push each express box to be under the fixed point collecting mechanism;
the permanent magnet brushless motor is used for driving the rotating shaft, and the field counting equipment is used for counting the total number of the produced express boxes in an increasing mode when each express box is pushed to the position right below the fixed point acquisition mechanism;
the fixed point acquisition mechanism is connected with the ultrasonic measurement mechanism and is used for executing acquisition operation on the express box right below the fixed point acquisition mechanism so as to obtain a corresponding fixed point acquisition image;
the ultrasonic measuring mechanism is arranged near the fixed point acquisition mechanism, comprises an ultrasonic transmitter, an ultrasonic receiver and a non-bus type single chip microcomputer and is used for detecting whether an express box pushed to the fixed point acquisition mechanism exists under the fixed point acquisition mechanism or not;
the guide filtering equipment is connected with the fixed point acquisition mechanism and used for executing guide filtering processing on the received fixed point acquisition image so as to obtain a corresponding real-time filtering image;
the cloud computing network element is arranged at the far end of the box body production line, is connected with the guide filtering equipment through a network, and is used for carrying out mean value computation on the distance between every two pixel points when the number of the pixel points of which the gray values are between the upper threshold value of the hole gray and the lower threshold value of the hole gray in the real-time filtering image exceeds the limit, and sending a hole identification signal when the mean value is smaller than a preset mean value threshold value;
the field sorting equipment is connected with the cloud computing network element through a network and used for pushing the express boxes right below the fixed point acquisition mechanism into the waste storage box when hole identification signals are received;
each express box pushed by the box body conveying mechanism is of a flat and open structure in a non-packaging state.
The product sorting system applying cloud computing is compact in design and intelligent in operation. Because the processing capacity of cloud computing can be fully utilized to carry out flaw identification on the appearance of the on-site express box, the product sorting efficiency is ensured.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram of an operating environment of a product sorting system using cloud computing according to the present invention.
Fig. 2 is a block diagram showing a configuration of a product sorting system using cloud computing according to a first example of the embodiment of the present invention.
Fig. 3 is a block diagram showing a configuration of a product sorting system using cloud computing according to a second example of the embodiment of the present invention.
Detailed Description
Embodiments of the cloud computing-based product sorting system according to the present invention will be described in detail with reference to the accompanying drawings.
At present, express delivery case is because the restriction of manufacturing material and the reason of manufacturing process in the manufacturing process, probably has the finished product that the outward appearance flaw degree is different to be pushed away, adopts artifical mode to carry out the naked eye among the prior art and distinguishes usually, and is not high to the discernment degree of high-quality product, suspicion product and nonconforming product, and identification efficiency is limited, can't adapt to batch, the production speed of quick express delivery case manufacturing assembly line.
In order to overcome the defects, the invention provides a product sorting system applying cloud computing, and the corresponding technical problem can be effectively solved.
Fig. 1 is a schematic diagram of an operating environment of a product sorting system using cloud computing according to the present invention, and several embodiments will be used to further embody and explain the technical contents of the present invention.
< first embodiment >
Fig. 2 is a block diagram showing a structure of a product sorting system using cloud computing according to a first example of the embodiment of the present invention, the system including:
the box body production line is used for producing express boxes and comprises a box body conveying mechanism, a rotating shaft, a permanent magnet brushless motor, a fixed point acquisition mechanism and field counting equipment;
the box body conveying mechanism is driven by the rotating shaft to sequentially push each express box to be under the fixed point collecting mechanism;
the permanent magnet brushless motor is used for driving the rotating shaft, and the field counting equipment is used for counting the total number of the produced express boxes in an increasing mode when each express box is pushed to the position right below the fixed point acquisition mechanism;
the fixed point acquisition mechanism is connected with the ultrasonic measurement mechanism and is used for executing acquisition operation on the express box right below the fixed point acquisition mechanism so as to obtain a corresponding fixed point acquisition image;
the ultrasonic measuring mechanism is arranged near the fixed point acquisition mechanism, comprises an ultrasonic transmitter, an ultrasonic receiver and a non-bus type single chip microcomputer and is used for detecting whether an express box pushed to the fixed point acquisition mechanism exists under the fixed point acquisition mechanism or not;
the guide filtering equipment is connected with the fixed point acquisition mechanism and used for executing guide filtering processing on the received fixed point acquisition image so as to obtain a corresponding real-time filtering image;
the cloud computing network element is arranged at the far end of the box body production line, is connected with the guide filtering equipment through a network, and is used for carrying out mean value computation on the distance between every two pixel points when the number of the pixel points of which the gray values are between the upper threshold value of the hole gray and the lower threshold value of the hole gray in the real-time filtering image exceeds the limit, and sending a hole identification signal when the mean value is smaller than a preset mean value threshold value;
the field sorting equipment is connected with the cloud computing network element through a network and used for pushing the express boxes right below the fixed point acquisition mechanism into the waste storage box when hole identification signals are received;
each express box pushed by the box body conveying mechanism is of a flat and open structure in a non-packaging state.
< second embodiment >
Fig. 3 is a block diagram showing a structure of a product sorting system using cloud computing according to a second example of the embodiment of the present invention, the system including:
the multi-storage box structure comprises a waste storage box, a storage box to be determined and a product storage box, wherein the waste storage box, the storage box to be determined and the product storage box are all arranged at the front end right below the fixed point acquisition mechanism;
the box body production line is used for producing express boxes and comprises a box body conveying mechanism, a rotating shaft, a permanent magnet brushless motor, a fixed point acquisition mechanism and field counting equipment;
the box body conveying mechanism is driven by the rotating shaft to sequentially push each express box to be under the fixed point collecting mechanism;
the permanent magnet brushless motor is used for driving the rotating shaft, and the field counting equipment is used for counting the total number of the produced express boxes in an increasing mode when each express box is pushed to the position right below the fixed point acquisition mechanism;
the fixed point acquisition mechanism is connected with the ultrasonic measurement mechanism and is used for executing acquisition operation on the express box right below the fixed point acquisition mechanism so as to obtain a corresponding fixed point acquisition image;
the ultrasonic measuring mechanism is arranged near the fixed point acquisition mechanism, comprises an ultrasonic transmitter, an ultrasonic receiver and a non-bus type single chip microcomputer and is used for detecting whether an express box pushed to the fixed point acquisition mechanism exists under the fixed point acquisition mechanism or not;
the guide filtering equipment is connected with the fixed point acquisition mechanism and used for executing guide filtering processing on the received fixed point acquisition image so as to obtain a corresponding real-time filtering image;
the cloud computing network element is arranged at the far end of the box body production line, is connected with the guide filtering equipment through a network, and is used for carrying out mean value computation on the distance between every two pixel points when the number of the pixel points of which the gray values are between the upper threshold value of the hole gray and the lower threshold value of the hole gray in the real-time filtering image exceeds the limit, and sending a hole identification signal when the mean value is smaller than a preset mean value threshold value;
the field sorting equipment is connected with the cloud computing network element through a network and used for pushing the express boxes right below the fixed point acquisition mechanism into the waste storage box when hole identification signals are received;
each express box pushed by the box body conveying mechanism is of a flat and open structure in a non-packaging state.
Next, a detailed structure of the product sorting system using cloud computing according to the present invention will be described further.
In the product sorting system applying cloud computing: in the cloud computing network element, when the number of pixel points with the gray values between the hole gray upper threshold and the hole gray lower threshold in the real-time filtering image exceeds the limit, mean value computing is carried out on the distance between every two of the pixel points, and when the mean value is larger than or equal to the preset mean value threshold, a suspected hole signal is sent out.
In the product sorting system applying cloud computing: and in the cloud computing network element, when the number of pixel points with the gray values between the hole gray upper threshold and the hole gray lower threshold in the real-time filtering image is not over the limit, a hole unidentified signal is sent.
In the product sorting system applying cloud computing: and the field sorting equipment is also used for pushing the express delivery box right below the fixed point acquisition mechanism into the storage box to be stored when receiving the suspected hole signal.
In the product sorting system applying cloud computing: and the field sorting equipment is also used for pushing the express delivery box right below the fixed point acquisition mechanism into the product storage box when receiving the hole unidentified signal.
In the product sorting system applying cloud computing: the field sorting equipment is arranged right below the fixed-point acquisition mechanism and between the multi-storage-box structure; the field counting equipment is connected with the ultrasonic measuring mechanism and used for counting the total number of the produced express boxes in an increasing mode based on the output result of the ultrasonic measuring mechanism.
In the product sorting system applying cloud computing: in the ultrasonic measuring mechanism, the non-bus type single chip microcomputer is respectively connected with the ultrasonic transmitter and the ultrasonic receiver; in the ultrasonic measuring mechanism, the non-bus type single chip microcomputer calculates the distance between the surface of the nearest object right below the fixed point acquisition mechanism and the ultrasonic measuring mechanism based on the difference between the time when the ultrasonic transmitter transmits ultrasonic waves and the time when the ultrasonic receiver receives reflected ultrasonic waves.
In the product sorting system applying cloud computing: determining whether an express box pushed to exists under the fixed point acquisition mechanism or not based on the distance between the surface of the nearest object under the fixed point acquisition mechanism and the ultrasonic measurement mechanism; wherein, confirm whether there is the express delivery case of propelling movement under the mechanism is gathered to the fixed point based on the nearest thing surface distance that the mechanism was gathered to the fixed point under the mechanism the ultrasonic measurement mechanism far and near includes: and when the distance from the surface of the nearest object under the fixed point acquisition mechanism to the ultrasonic measurement mechanism is smaller than a preset distance threshold value, determining that an express delivery box pushed to the position under the fixed point acquisition mechanism exists.
In the product sorting system applying cloud computing: the method for determining whether the pushed express delivery box exists under the fixed point acquisition mechanism based on the distance between the surface of the nearest object under the fixed point acquisition mechanism and the ultrasonic measurement mechanism comprises the following steps: when the distance from the surface of the nearest object under the fixed point acquisition mechanism to the ultrasonic measurement mechanism is greater than or equal to the preset distance threshold value, it is determined that no pushed express delivery box exists under the fixed point acquisition mechanism.
In addition, cloud computing (cloud computing) is a kind of distributed computing, and means that a huge data computing processing program is decomposed into countless small programs through a network "cloud", and then the small programs are processed and analyzed by a system composed of a plurality of servers to obtain results and are returned to a user. In the early stage of cloud computing, simple distributed computing is adopted, task distribution is solved, and computing results are merged. Thus, cloud computing is also known as grid computing. By the technology, tens of thousands of data can be processed in a short time (several seconds), so that strong network service is achieved.
At present, the cloud service is not just distributed computing, but a result of hybrid evolution and leap of computer technologies such as distributed computing, utility computing, load balancing, parallel computing, network storage, hot backup redundancy, virtualization and the like.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (3)
1. A product sorting system employing cloud computing, comprising:
the box body production line is used for producing express boxes and comprises a box body conveying mechanism, a rotating shaft, a permanent magnet brushless motor, a fixed point acquisition mechanism and field counting equipment;
the box body conveying mechanism is driven by the rotating shaft to sequentially push each express box to be under the fixed point collecting mechanism;
the permanent magnet brushless motor is used for driving the rotating shaft, and the field counting equipment is used for counting the total number of the produced express boxes in an increasing mode when each express box is pushed to the position right below the fixed point acquisition mechanism;
the fixed point acquisition mechanism is connected with the ultrasonic measurement mechanism and is used for executing acquisition operation on the express box right below the fixed point acquisition mechanism so as to obtain a corresponding fixed point acquisition image;
the ultrasonic measuring mechanism is arranged near the fixed point acquisition mechanism, comprises an ultrasonic transmitter, an ultrasonic receiver and a non-bus type single chip microcomputer and is used for detecting whether an express box pushed to the fixed point acquisition mechanism exists under the fixed point acquisition mechanism or not;
the guide filtering equipment is connected with the fixed point acquisition mechanism and used for executing guide filtering processing on the received fixed point acquisition image so as to obtain a corresponding real-time filtering image;
the cloud computing network element is arranged at the far end of the box body production line, is connected with the guide filtering equipment through a network, and is used for carrying out mean value computation on the distance between every two pixel points when the number of the pixel points of which the gray values are between the upper threshold value of the hole gray and the lower threshold value of the hole gray in the real-time filtering image exceeds the limit, and sending a hole identification signal when the mean value is smaller than a preset mean value threshold value;
the field sorting equipment is connected with the cloud computing network element through a network and used for pushing the express boxes right below the fixed point acquisition mechanism into the waste storage box when hole identification signals are received;
each express box pushed by the box body conveying mechanism is of a flat and open structure in a non-packaging state;
the multi-storage box structure comprises a waste storage box, a storage box to be determined and a product storage box, wherein the waste storage box, the storage box to be determined and the product storage box are all arranged at the front end right below the fixed point acquisition mechanism;
in the cloud computing network element, when the number of pixel points with the gray values between the upper hole gray threshold and the lower hole gray threshold in the real-time filtering image exceeds the limit, performing mean value computation on the distances between every two pixel points, and when the mean value is greater than or equal to the preset mean value threshold, sending a suspected hole signal;
in the cloud computing network element, when the number of pixel points with the gray values between the upper hole gray threshold and the lower hole gray threshold in the real-time filtering image does not exceed the limit, a hole unidentified signal is sent out;
the field sorting equipment is also used for pushing the express delivery box right below the fixed point acquisition mechanism into the storage box to be stored when receiving the suspected hole signal;
the field sorting equipment is also used for pushing the express delivery box right below the fixed point acquisition mechanism into the product storage box when receiving the hole unidentified signal;
the field sorting equipment is arranged right below the fixed-point acquisition mechanism and between the multi-storage-box structure;
the field counting equipment is connected with the ultrasonic measuring mechanism and used for counting the total number of the produced express boxes in an increasing mode based on the output result of the ultrasonic measuring mechanism;
in the ultrasonic measuring mechanism, the non-bus type single chip microcomputer is respectively connected with the ultrasonic transmitter and the ultrasonic receiver;
in the ultrasonic measuring mechanism, the non-bus type single chip microcomputer calculates the distance between the surface of the nearest object right below the fixed point acquisition mechanism and the ultrasonic measuring mechanism based on the difference between the time when the ultrasonic transmitter transmits ultrasonic waves and the time when the ultrasonic receiver receives reflected ultrasonic waves.
2. The product sorting system using cloud computing according to claim 1, wherein:
determining whether an express box pushed to exists under the fixed point acquisition mechanism or not based on the distance between the surface of the nearest object under the fixed point acquisition mechanism and the ultrasonic measurement mechanism;
wherein, confirm whether there is the express delivery case of propelling movement under the mechanism is gathered to the fixed point based on the nearest thing surface distance that the mechanism was gathered to the fixed point under the mechanism the ultrasonic measurement mechanism far and near includes: and when the distance from the surface of the nearest object under the fixed point acquisition mechanism to the ultrasonic measurement mechanism is smaller than a preset distance threshold value, determining that an express delivery box pushed to the position under the fixed point acquisition mechanism exists.
3. The product sorting system using cloud computing according to claim 2, wherein:
the method for determining whether the pushed express delivery box exists under the fixed point acquisition mechanism based on the distance between the surface of the nearest object under the fixed point acquisition mechanism and the ultrasonic measurement mechanism comprises the following steps: when the distance from the surface of the nearest object under the fixed point acquisition mechanism to the ultrasonic measurement mechanism is greater than or equal to the preset distance threshold value, it is determined that no pushed express delivery box exists under the fixed point acquisition mechanism.
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