CN114476480A - Intelligent logistics warehouse goods checking method and system based on image information - Google Patents
Intelligent logistics warehouse goods checking method and system based on image information Download PDFInfo
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- CN114476480A CN114476480A CN202210387719.XA CN202210387719A CN114476480A CN 114476480 A CN114476480 A CN 114476480A CN 202210387719 A CN202210387719 A CN 202210387719A CN 114476480 A CN114476480 A CN 114476480A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
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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
- B07C5/34—Sorting according to other particular properties
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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
- B07C5/36—Sorting apparatus characterised by the means used for distribution
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
- B65G1/1373—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed for fulfilling orders in warehouses
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G15/00—Conveyors having endless load-conveying surfaces, i.e. belts and like continuous members, to which tractive effort is transmitted by means other than endless driving elements of similar configuration
- B65G15/30—Belts or like endless load-carriers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G47/00—Article or material-handling devices associated with conveyors; Methods employing such devices
- B65G47/74—Feeding, transfer, or discharging devices of particular kinds or types
- B65G47/82—Rotary or reciprocating members for direct action on articles or materials, e.g. pushers, rakes, shovels
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
Abstract
The embodiment of the invention relates to the technical field of intelligent logistics, and particularly discloses an intelligent logistics warehouse goods checking method and system based on image information. The embodiment of the invention generates goods classification results and classification promoting signals by shooting and classifying and analyzing the side, which is stuck with information, of goods on a conveyor belt; carrying out cargo pushing control; shooting the shapes of the pushed cargos to generate layered stacking signals; matching the stacking area and the cargo stacking layer according to the cargo classification result; and stacking and adjusting the goods according to the goods periodic patrol signal. Can shoot the goods, discernment goods information, and then carry out categorised promotion control to the goods to through carrying out appearance shooting and analysis to the goods, obtain the goods and stack the layer, carry out the goods and stack control, stack the goods to the goods that the region was stacked in the matching and stack the layer, and stack the adjustment to the goods according to the goods cycle is automatic, thereby need not the manual classification of managers, put and the adjustment, labour saving and time saving.
Description
Technical Field
The invention belongs to the technical field of intelligent logistics, and particularly relates to an intelligent logistics warehouse goods inventory method and system based on image information.
Background
The intelligent logistics is realized by using an integrated intelligent technology, so that a logistics system can simulate the intelligence of people and has the capabilities of thinking, sensing, learning, reasoning and judging and automatically solving certain problems in the logistics. The goods in commodity circulation warehouse is the link of very important in the intelligence commodity circulation, especially, the goods commodity circulation warehouse that the user got goods automatically, it carries out artifical classification to the goods to need managers usually, and then classify the goods according to classification result and put, thereby be convenient for the user finds the goods of oneself by oneself fast, but this kind of artifical goods is categorised and the mode that the goods was put is inefficiency usually, need managers to look over the information of pasting on the goods one by one, and then put the goods differentiation one by one, need consume a large amount of time and energy, and when the user got the piece, the goods of putting on the goods shelves are disturbed easily, need the frequent manual adjustment that carries on of managers.
Disclosure of Invention
The embodiment of the invention aims to provide an intelligent logistics warehouse goods inventory method and system based on image information, and aims to solve the problems in the background art.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
an intelligent logistics warehouse goods inventory method based on image information specifically comprises the following steps:
shooting one side of the goods stuck with information on the conveying belt to obtain a goods information image, and carrying out classification analysis according to the goods information image to generate a goods classification result and a classification pushing signal;
matching a pushing end head according to the goods classification result, and sending the classification pushing signal to the pushing end head to carry out goods pushing control;
carrying out shape shooting on the pushed goods to obtain goods shape images, carrying out goods stacking analysis according to the goods shape images to obtain goods stacking layers, and generating layered stacking signals;
matching a stacking area according to the goods classification result, performing goods stacking control according to the layered stacking signal, and stacking goods to the goods stacking layer of the matched stacking area;
receiving patrol period setting of workers, generating a cargo period patrol signal according to the patrol period setting, and stacking and adjusting the cargo according to the cargo period patrol signal.
As a further limitation of the technical solution of the embodiment of the present invention, the step of shooting the side of the goods on the conveyor belt to which the information is attached to obtain a goods information image, and performing classification analysis according to the goods information image to generate a goods classification result and a classification pushing signal specifically includes the following steps:
shooting one side of the goods on the conveying belt, which is stuck with information, to obtain a goods information image;
analyzing and identifying the cargo information image to obtain cargo receiving information;
carrying out cargo classification analysis according to the cargo receiving information to generate a cargo classification result;
and generating a classification pushing signal according to the cargo classification result.
As a further limitation of the technical solution of the embodiment of the present invention, the matching of the pushing end head according to the cargo classification result and the sending of the classification pushing signal to the pushing end head for cargo pushing control specifically include the following steps:
matching a pushing end head according to the goods classification result;
monitoring the delivery of the goods and judging whether the goods are close to the pushing end;
and when the goods are close to the pushing end head, the classified pushing signals are sent to the pushing end head to carry out goods pushing control.
As a further limitation of the technical solution of the embodiment of the present invention, the taking a shape of the pushed cargo to obtain a cargo shape image, performing cargo stacking analysis according to the cargo shape image to obtain a cargo stacking layer, and generating a layered stacking signal specifically includes the following steps:
shooting and ranging the pushed goods to generate a real-time relative distance;
when the real-time relative distance is equal to a preset standard shooting distance, carrying out shape shooting to obtain a cargo shape image;
analyzing the shape and size according to the cargo shape image to obtain the cargo size and size specification;
and carrying out goods stacking analysis according to the size specification of the goods to obtain a goods stacking layer and generate a layered stacking signal.
As a further limitation of the technical solution of the embodiment of the present invention, the matching of the stacking area according to the cargo classification result, the controlling of stacking the cargo according to the layered stacking signal, and the stacking of the cargo onto the cargo stacking layer of the matching stacking area specifically include the following steps:
matching a stacking area according to the goods classification result;
carrying out stacking planning according to the stacking area and the goods stacking layer to generate a planned stacking path;
and controlling goods stacking according to the layered stacking signal and the planned stacking path, and stacking the goods to the goods stacking layer of the matched stacking area.
As a further limitation of the technical solution of the embodiment of the present invention, the receiving a patrol period setting of a worker, generating a cargo period patrol signal according to the patrol period setting, and performing stacking adjustment on the cargo according to the cargo period patrol signal specifically includes the following steps:
receiving patrol period setting of workers, and generating a cargo period patrol signal according to the patrol period setting;
carrying out shelf period shooting according to the goods period patrol signal to obtain shelf shooting images;
carrying out uniform shelf analysis according to the shelf shot image to generate a uniform analysis result;
performing adjustment analysis according to the uniform analysis result to generate a stacking adjustment signal;
and carrying out stacking adjustment on the goods according to the stacking adjustment signal.
The utility model provides an intelligence commodity circulation warehouse goods system of checing based on image information, the system includes goods classification analysis unit, goods promotion the control unit, the analysis unit is stacked to the goods, the control unit is stacked to the goods and the adjustment unit is stacked to the goods, wherein:
the cargo classification analysis unit is used for shooting one side of the cargo adhered with information on the conveying belt to obtain a cargo information image, and performing classification analysis according to the cargo information image to generate a cargo classification result and a classification pushing signal;
the cargo pushing control unit is used for matching a pushing end head according to the cargo classification result and sending the classification pushing signal to the pushing end head to carry out cargo pushing control;
the goods stacking analysis unit is used for shooting the shapes of pushed goods to obtain goods shape images, performing goods stacking analysis according to the goods shape images to obtain goods stacking layers and generating layered stacking signals;
the goods stacking control unit is used for matching a stacking area according to the goods classification result, performing goods stacking control according to the layered stacking signal and stacking goods to the goods stacking layer of the matched stacking area;
and the cargo stacking adjusting unit is used for receiving the patrol period setting of a worker, generating a cargo period patrol signal according to the patrol period setting, and stacking and adjusting the cargo according to the cargo period patrol signal.
As a further limitation of the technical solution of the embodiment of the present invention, the cargo classification and analysis unit specifically includes:
the cargo information shooting module is used for shooting one side of the cargo on the conveying belt, which is stuck with information, so as to obtain a cargo information image;
the information image analysis module is used for analyzing and identifying the cargo information image to obtain cargo receiving information;
the goods classification analysis module is used for carrying out goods classification analysis according to the goods receiving information to generate goods classification results;
and the pushing signal generating module is used for generating a classification pushing signal according to the cargo classification result.
As a further limitation of the technical solution of the embodiment of the present invention, the cargo pushing control unit specifically includes:
the pushing end matching module is used for matching the pushing end according to the goods classification result;
the cargo conveying monitoring module is used for conveying and monitoring the cargo and judging whether the cargo is close to the pushing end;
and the cargo pushing control module is used for sending the classification pushing signal to the pushing end head to carry out cargo pushing control when the cargo is close to the pushing end head.
As a further limitation of the technical solution of the embodiment of the present invention, the cargo stacking analysis unit specifically includes:
the goods shooting and ranging module is used for shooting and ranging pushed goods to generate a real-time relative distance;
the cargo shape shooting module is used for shooting the shape when the real-time relative distance is equal to a preset standard shooting distance to obtain a cargo shape image;
the appearance size analysis module is used for carrying out appearance size analysis according to the cargo appearance image to obtain the cargo size specification;
and the goods stacking analysis module is used for performing goods stacking analysis according to the size specification of the goods to obtain a goods stacking layer and generating layered stacking signals.
Compared with the prior art, the invention has the beneficial effects that:
the embodiment of the invention generates goods classification results and classification promoting signals by shooting and classifying and analyzing the side, which is stuck with information, of goods on a conveyor belt; carrying out cargo pushing control; shooting the shapes of the pushed cargos to generate layered stacking signals; matching the stacking area and the cargo stacking layer according to the cargo classification result; and stacking and adjusting the goods according to the goods periodic patrol signal. Can shoot the goods, discernment goods information, and then carry out categorised promotion control to the goods to through carrying out appearance shooting and analysis to the goods, obtain the goods and stack the layer, carry out the goods and stack control, stack the goods to the goods that the region was stacked in the matching and stack the layer, and stack the adjustment to the goods according to the goods cycle is automatic, thereby need not the manual classification of managers, put and the adjustment, labour saving and time saving.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Fig. 2 shows a flowchart of cargo information image classification analysis in the method provided by the embodiment of the invention.
Fig. 3 is a flow chart illustrating push tip matching control in a method provided by an embodiment of the invention.
Fig. 4 shows a flow chart of outline image cargo stacking analysis in the method provided by the embodiment of the invention.
Fig. 5 shows a flow chart of cargo stacking control in the method provided by the embodiment of the invention.
Fig. 6 shows a flow chart of cargo stack adjustment in the method provided by the embodiment of the invention.
Fig. 7 shows an application architecture diagram of a system provided by an embodiment of the invention.
Fig. 8 is a block diagram illustrating a structure of a cargo classification analysis unit in the system according to the embodiment of the present invention.
Fig. 9 is a block diagram illustrating a structure of a cargo pushing control unit in the system according to the embodiment of the present invention.
Fig. 10 is a block diagram illustrating a structure of a cargo stacking analysis unit in the system according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It can be understood, in the goods logistics warehouse of the automatic goods of getting of current user, it is general to need managers to carry out artifical classification to the goods inventory, and then classify the goods according to classification result and put, thereby be convenient for the user finds the goods of oneself by oneself fast, but this kind of artifical goods is categorised and the mode that the goods was put is inefficiency usually, need managers to look over the information of pasting on the goods one by one, and then put the goods one by one difference, need consume a large amount of time and energy, and when the user got the piece, the goods of putting on the goods shelves of disturbing easily, also need the frequent manual adjustment of carrying on of managers.
In order to solve the problems, the embodiment of the invention generates a goods classification result and a classification pushing signal by shooting and classifying and analyzing the side, which is stuck with information, of goods on a conveyor belt; carrying out cargo pushing control; shooting the shapes of the pushed cargos to generate layered stacking signals; matching the stacking area and the cargo stacking layer according to the cargo classification result; and stacking and adjusting the goods according to the goods periodic patrol signal. Can shoot the goods, discernment goods information, and then carry out categorised promotion control to the goods to through carrying out appearance shooting and analysis to the goods, obtain the goods and stack the layer, carry out the goods and stack control, stack the goods to the goods that the region was stacked in the matching and stack the layer, and stack the adjustment to the goods according to the goods cycle is automatic, thereby need not the manual classification of managers, put and the adjustment, labour saving and time saving.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Specifically, the intelligent logistics warehouse goods checking method based on image information specifically comprises the following steps:
step S101, shooting one side of the goods stuck with information on the conveying belt to obtain goods information images, and carrying out classification analysis according to the goods information images to generate goods classification results and classification pushing signals.
In the embodiment of the invention, after goods are transported to a goods logistics warehouse which is automatically picked up by a user, the goods need to be unloaded through a conveying belt, at the moment, one side, which is pasted with information, of the goods unloaded and conveyed on the conveying belt is shot to obtain a goods information image of the goods, information analysis and identification are carried out on the goods information image to obtain goods receiving information of the goods, the goods are classified according to the last digit of a receiver contact number of the goods receiving information to obtain goods classification results, and classification pushing signals for controlling corresponding pushing ends to push work are generated according to the goods classification results.
It can be understood that the goods in the goods logistics warehouse transported to the user for automatic pickup are classified according to the last digit of the contact number of the receiver of the goods receiving information, so that all the goods can be classified into ten types, and ten pushing terminals are arranged on the conveyor belt.
Specifically, fig. 2 shows a flowchart of cargo information image classification analysis in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the step of photographing the side of the goods on the conveyor belt to which the information is attached to obtain a goods information image, and performing classification analysis according to the goods information image to generate a goods classification result and a classification pushing signal specifically includes the following steps:
and step S1011, shooting one side of the goods stuck with the information on the conveying belt to obtain goods information images.
And step S1012, analyzing and recognizing the cargo information image to obtain cargo receiving information.
And S1013, carrying out cargo classification analysis according to the cargo receiving information to generate a cargo classification result.
And step S1014, generating a classification pushing signal according to the cargo classification result.
Further, the intelligent logistics warehouse goods inventory method based on the image information further comprises the following steps:
and S102, matching a pushing end head according to the goods classification result, and sending the classification pushing signal to the pushing end head to carry out goods pushing control.
In the embodiment of the invention, the corresponding pushing end head is matched according to the goods classification result, whether the goods approach is sensed through the infrared sensor near the pushing end head, when the goods approach the pushing end head is sensed, the classification pushing signal is sent to the pushing end head, and at the moment, the pushing end head pushes the goods to one side, so that the goods are pushed into the corresponding classification stacking position.
Specifically, fig. 3 shows a flowchart of push tip matching control in the method provided in the embodiment of the present invention.
In an embodiment of the present invention, the matching of the pushing end head according to the cargo classification result and the sending of the classification pushing signal to the pushing end head for cargo pushing control specifically include the following steps:
and S1021, matching the pushing end according to the goods classification result.
Step S1022, the cargo is conveyed and monitored, and whether the cargo is close to the pushing end is determined.
And S1023, when the goods are close to the pushing end head, the classified pushing signals are sent to the pushing end head to carry out goods pushing control.
Further, the intelligent logistics warehouse goods inventory method based on the image information further comprises the following steps:
and S103, shooting the shape of the pushed goods to obtain goods shape images, carrying out goods stacking analysis according to the goods shape images to obtain goods stacking layers, and generating layered stacking signals.
In the embodiment of the invention, the corresponding robot at the classified stacking position is close to the goods and carries out real-time distance measurement, the real-time relative distance between the robot and the goods is generated in real time, the real-time relative distance is compared with the preset standard shooting distance, when the real-time relative distance is equal to the standard shooting distance, the goods are shot to obtain the goods appearance image, the goods are subjected to appearance size analysis through the goods appearance image to obtain the goods size specification, goods stacking layer matching is carried out according to the goods size specification, and then the layered stacking signal is generated according to the matched goods stacking layer.
It can be understood that a goods shelves has the three-layer and stacks the layer, according to the size of goods appearance, stacks the goods that the appearance is big to the layer of stacking of bottom, stacks the goods that the appearance is medium to the layer of stacking in the middle, stacks the goods that the appearance is little to the layer of stacking at the top, shoots the distance through shooting the goods at the standard, can calculate the appearance size of shooing the goods, and then carries out the matching on goods shelves layer according to the appearance size of goods.
Specifically, fig. 4 shows a flowchart of outline image cargo stacking analysis in the method provided by the embodiment of the invention.
In a preferred embodiment of the present invention, the taking a shape of the pushed cargo to obtain a cargo shape image, performing cargo stacking analysis according to the cargo shape image to obtain a cargo stacking layer, and generating a layered stacking signal specifically includes the following steps:
and step S1031, shooting and ranging the pushed goods to generate a real-time relative distance.
And S1032, when the real-time relative distance is equal to a preset standard shooting distance, carrying out shape shooting to obtain a cargo shape image.
And step S1033, analyzing the shape and size according to the cargo shape image to obtain the cargo size and size specification.
And S1034, carrying out goods stacking analysis according to the size specification of the goods to obtain a goods stacking layer and generating a layered stacking signal.
Further, the intelligent logistics warehouse goods inventory method based on the image information further comprises the following steps:
and step S104, matching a stacking area according to the goods classification result, performing goods stacking control according to the layered stacking signal, and stacking goods to the goods stacking layer of the matched stacking area.
In the embodiment of the invention, the stacking area for storing the goods is matched with the corresponding goods category according to the goods classification result, the stacking planning is further carried out according to the stacking area and the goods stacking layer, the planned stacking path is generated, and the robot is controlled to stack the goods to the goods stacking layer of the goods shelf matched with the stacking area according to the layered stacking signal according to the planned stacking path.
Specifically, fig. 5 shows a flowchart of cargo stacking control in the method provided by the embodiment of the invention.
In an embodiment of the present invention, the matching a stacking area according to the classification result of the goods, performing goods stacking control according to the layered stacking signal, and stacking the goods onto the goods stacking layer of the matching stacking area specifically includes the following steps:
and S1041, matching a stacking area according to the goods classification result.
Step S1042, performing stacking planning according to the stacking area and the cargo stacking layer, and generating a planned stacking path.
And S1043, controlling goods stacking according to the layered stacking signal and the planned stacking path, and stacking the goods to the goods stacking layer of the matched stacking area.
Further, the intelligent logistics warehouse goods inventory method based on the image information further comprises the following steps:
and S105, receiving patrol cycle setting of workers, generating a cargo cycle patrol signal according to the patrol cycle setting, and stacking and adjusting the cargo according to the cargo cycle patrol signal.
In the embodiment of the invention, a worker can set a patrol period, a goods period patrol signal is generated according to the patrol period setting by receiving the patrol period setting of the worker, goods stacking patrol of a goods shelf is started by sending the goods period patrol signal at the patrol time corresponding to the patrol period, a goods shelf shooting image is obtained by shooting the goods shelf in the goods stacking patrol process, and then the goods shelf shooting image is analyzed to judge whether goods on the corresponding goods shelf are uniformly placed, if the goods are not uniformly placed, a stacking adjustment signal is generated, and a robot is controlled to adjust the non-uniformly placed goods according to the stacking adjustment signal.
It can be understood that the uneven placement may include: the side of the goods stacking and goods sticking information is not towards the outside, several goods are directly far apart, and the like.
Specifically, fig. 6 shows a flowchart of cargo stacking adjustment in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the receiving a patrol period setting of a worker, generating a cargo period patrol signal according to the patrol period setting, and performing stacking adjustment on the cargo according to the cargo period patrol signal specifically includes the following steps:
and S1051, receiving the patrol period setting of a worker, and generating a cargo period patrol signal according to the patrol period setting.
And step S1052, carrying out shelf period shooting according to the goods period patrol signal to obtain a shelf shooting image.
And S1053, carrying out uniform shelf analysis according to the shelf shooting image to generate a uniform analysis result.
And S1054, performing adjustment analysis according to the uniform analysis result to generate a stacking adjustment signal.
And S1055, stacking and adjusting the goods according to the stacking and adjusting signal.
Further, fig. 7 is a diagram illustrating an application architecture of the system according to the embodiment of the present invention.
In another preferred embodiment, the present invention provides an intelligent logistics warehouse goods inventory system based on image information, comprising:
and the cargo classification analysis unit 101 is used for shooting one side of the cargo adhered with information on the conveying belt to obtain a cargo information image, and performing classification analysis according to the cargo information image to generate a cargo classification result and a classification pushing signal.
In the embodiment of the present invention, after the goods are transported to the goods logistics warehouse from which the user automatically picks up the goods, the goods need to be unloaded by the conveyor belt, at this time, the goods classification analysis unit 101 obtains the goods information image of the goods by shooting the side, to which the information is attached, of the goods unloaded and conveyed on the conveyor belt, obtains the goods receiving information of the goods by performing information analysis and identification on the goods information image, classifies the goods according to the last digit of the receiver contact number of the goods receiving information, obtains the goods classification result, and generates the classification push signal for controlling the corresponding push end to push according to the goods classification result.
Specifically, fig. 8 shows a block diagram of a cargo classification analysis unit 101 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the cargo classification analysis unit 101 specifically includes:
and the cargo information shooting module 1011 is used for shooting one side of the cargo adhered with the information on the conveying belt to obtain a cargo information image.
And the information image analysis module 1012 is configured to analyze and identify the cargo information image to obtain cargo receiving information.
And the cargo classification analysis module 1013 is configured to perform cargo classification analysis according to the cargo receiving information to generate a cargo classification result.
And a push signal generating module 1014 for generating a classification push signal according to the cargo classification result.
Further, the intelligent logistics warehouse goods inventory system based on image information further comprises:
and the cargo pushing control unit 102 is configured to match a pushing end according to the cargo classification result, and send the classification pushing signal to the pushing end to perform cargo pushing control.
In the embodiment of the present invention, the cargo pushing control unit 102 matches the corresponding pushing end according to the cargo classification result, senses whether the cargo is approaching through the infrared sensor near the pushing end, and when sensing that the cargo is approaching the pushing end, sends the classification pushing signal to the pushing end, and at this time, the pushing end pushes the cargo to one side, so that the cargo is pushed into the corresponding classification stacking position.
Specifically, fig. 9 shows a block diagram of a cargo pushing control unit 102 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the cargo pushing control unit 102 specifically includes:
and the pushing end head matching module 1021 is used for matching a pushing end head according to the goods classification result.
The cargo conveying monitoring module 1022 is configured to monitor the conveyance of the cargo and determine whether the cargo is close to the pushing end.
And the cargo pushing control module 1023 is used for sending the classified pushing signals to the pushing end to carry out cargo pushing control when the cargo is close to the pushing end.
Further, the intelligent logistics warehouse goods inventory system based on image information further comprises:
and the goods stacking analysis unit 103 is used for carrying out appearance shooting on the pushed goods to obtain goods appearance images, carrying out goods stacking analysis according to the goods appearance images to obtain goods stacking layers and generating layered stacking signals.
In the embodiment of the present invention, the cargo stacking analysis unit 103 controls the robot at the corresponding classified stack position to approach the cargo and perform real-time distance measurement, generates a real-time relative distance between the robot and the cargo in real time, compares the real-time relative distance with a preset standard shooting distance, shoots the cargo when the real-time relative distance is equal to the standard shooting distance, obtains a cargo shape image, performs shape and size analysis on the cargo through the cargo shape image, obtains a cargo size specification, performs cargo stacking layer matching according to the cargo size specification, and further generates a layered stacking signal according to the matched cargo stacking layer.
Specifically, fig. 10 shows a block diagram of a cargo stack analysis unit 103 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the cargo stacking analysis unit 103 specifically includes:
and a cargo shooting and ranging module 1031, configured to shoot and range the pushed cargo to generate a real-time relative distance.
And the cargo shape shooting module 1032 is used for shooting the shape to obtain a cargo shape image when the real-time relative distance is equal to the preset standard shooting distance.
And the shape and size analysis module 1033 is used for performing shape and size analysis according to the cargo shape image to obtain the cargo size and size specification.
The cargo stacking analysis module 1034 is configured to perform cargo stacking analysis according to the cargo size specification, obtain a cargo stacking layer, and generate a layered stacking signal.
Further, the intelligent logistics warehouse goods inventory system based on image information further comprises:
and the cargo stacking control unit 104 is configured to match a stacking area according to the cargo classification result, perform cargo stacking control according to the layered stacking signal, and stack the cargo to the cargo stacking layer of the matched stacking area.
In the embodiment of the present invention, the cargo stacking control unit 104 matches the stacking area where the corresponding cargo category is stored according to the cargo classification result, further performs stacking planning according to the stacking area and the cargo stacking layer, generates a planned stacking path, and controls the robot to stack the cargo to the cargo stacking layer of the shelf in the matched stacking area according to the planned stacking path according to the layered stacking signal.
And the cargo stacking adjusting unit 105 is used for receiving the patrol period setting of the staff, generating a cargo period patrol signal according to the patrol period setting, and stacking and adjusting the cargo according to the cargo period patrol signal.
In the embodiment of the invention, a worker can set a patrol period, the goods stacking adjustment unit 105 receives the patrol period setting of the worker, generates a goods period patrol signal according to the patrol period setting, starts the goods stacking patrol of the goods shelf by sending the goods period patrol signal at the patrol time corresponding to the patrol period, shoots the goods shelf to obtain a goods shelf shot image in the goods stacking patrol process, analyzes the goods shelf shot image to judge whether goods on the corresponding goods shelf are uniformly placed, generates a stacking adjustment signal if the goods are not uniformly placed, and controls the robot to adjust the non-uniformly placed goods according to the stacking adjustment signal.
In summary, the embodiment of the invention can shoot the goods, identify the goods information, further classify and push control the goods, and shoot and analyze the shapes of the goods to obtain the goods stacking layer, perform goods stacking control, stack the goods to the goods stacking layer matched with the stacking area, and automatically stack and adjust the goods according to the goods period, so that the management personnel do not need to manually classify, place and adjust, and the time and the labor are saved.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. An intelligent logistics warehouse goods inventory method based on image information is characterized by specifically comprising the following steps:
shooting one side of the goods stuck with information on the conveying belt to obtain a goods information image, and carrying out classification analysis according to the goods information image to generate a goods classification result and a classification pushing signal;
matching a pushing end head according to the goods classification result, and sending the classification pushing signal to the pushing end head to carry out goods pushing control;
carrying out shape shooting on the pushed goods to obtain goods shape images, carrying out goods stacking analysis according to the goods shape images to obtain goods stacking layers, and generating layered stacking signals;
matching a stacking area according to the goods classification result, performing goods stacking control according to the layered stacking signal, and stacking goods to the goods stacking layer of the matched stacking area;
receiving patrol period setting of workers, generating a cargo period patrol signal according to the patrol period setting, and stacking and adjusting the cargo according to the cargo period patrol signal.
2. The intelligent logistics warehouse goods inventory method based on image information as claimed in claim 1, wherein the step of shooting the side of the goods on the conveyor belt, to which the information is attached, to obtain goods information images, and performing classification analysis according to the goods information images to generate goods classification results and classification pushing signals specifically comprises the steps of:
shooting one side of the goods on the conveying belt, which is stuck with information, to obtain a goods information image;
analyzing and identifying the cargo information image to obtain cargo receiving information;
carrying out cargo classification analysis according to the cargo receiving information to generate a cargo classification result;
and generating a classification pushing signal according to the cargo classification result.
3. The intelligent logistics warehouse goods inventory method based on image information as claimed in claim 1, wherein the step of matching a pushing end head according to the goods classification result and sending the classification pushing signal to the pushing end head for goods pushing control specifically comprises the following steps:
matching a pushing end head according to the goods classification result;
monitoring the delivery of the goods and judging whether the goods are close to the pushing end;
and when the goods are close to the pushing end head, the classified pushing signals are sent to the pushing end head to carry out goods pushing control.
4. The intelligent logistics warehouse goods inventory method based on image information as claimed in claim 1, wherein the step of taking shape shooting of pushed goods to obtain goods shape images, performing goods stacking analysis according to the goods shape images to obtain goods stacking layers, and generating layered stacking signals specifically comprises the steps of:
shooting and ranging the pushed goods to generate a real-time relative distance;
when the real-time relative distance is equal to a preset standard shooting distance, carrying out shape shooting to obtain a cargo shape image;
analyzing the shape and size according to the cargo shape image to obtain the cargo size and size specification;
and carrying out goods stacking analysis according to the size specification of the goods to obtain a goods stacking layer and generate a layered stacking signal.
5. The intelligent logistics warehouse goods inventory method based on image information as claimed in claim 1, wherein the matching of the stacking area according to the goods classification result, the goods stacking control according to the layered stacking signal, and the goods stacking to the goods stacking layer of the matching stacking area specifically comprises the following steps:
matching a stacking area according to the goods classification result;
carrying out stacking planning according to the stacking area and the goods stacking layer to generate a planned stacking path;
and controlling goods stacking according to the layered stacking signal and the planned stacking path, and stacking the goods to the goods stacking layer of the matched stacking area.
6. The intelligent logistics warehouse goods inventory method based on image information as claimed in claim 5, wherein the receiving of the patrol period setting of the staff, the generation of goods period patrol signal according to the patrol period setting, and the stacking adjustment of goods according to the goods period patrol signal specifically comprises the following steps:
receiving patrol period setting of workers, and generating a cargo period patrol signal according to the patrol period setting;
carrying out shelf period shooting according to the goods period patrol signal to obtain shelf shooting images;
carrying out uniform shelf analysis according to the shelf shot image to generate a uniform analysis result;
performing adjustment analysis according to the uniform analysis result to generate a stacking adjustment signal;
and carrying out stacking adjustment on the goods according to the stacking adjustment signal.
7. The utility model provides an intelligence commodity circulation warehouse goods inventory system based on image information, its characterized in that, the system includes goods classification analysis unit, goods promotion the control unit, the analysis unit is stacked to goods, the control unit is stacked to goods and the adjustment unit is stacked to goods, wherein:
the cargo classification analysis unit is used for shooting one side of the cargo adhered with information on the conveying belt to obtain a cargo information image, and performing classification analysis according to the cargo information image to generate a cargo classification result and a classification pushing signal;
the cargo pushing control unit is used for matching a pushing end head according to the cargo classification result and sending the classification pushing signal to the pushing end head to carry out cargo pushing control;
the goods stacking analysis unit is used for shooting the shapes of pushed goods to obtain goods shape images, performing goods stacking analysis according to the goods shape images to obtain goods stacking layers and generating layered stacking signals;
the goods stacking control unit is used for matching a stacking area according to the goods classification result, performing goods stacking control according to the layered stacking signal and stacking goods to the goods stacking layer of the matched stacking area;
and the cargo stacking adjusting unit is used for receiving the patrol period setting of a worker, generating a cargo period patrol signal according to the patrol period setting, and stacking and adjusting the cargo according to the cargo period patrol signal.
8. The intelligent logistics warehouse goods inventory system based on image information as claimed in claim 7, wherein the goods classification analysis unit specifically comprises:
the cargo information shooting module is used for shooting one side of the cargo on the conveying belt, which is stuck with information, so as to obtain a cargo information image;
the information image analysis module is used for analyzing and identifying the cargo information image to obtain cargo receiving information;
the goods classification analysis module is used for carrying out goods classification analysis according to the goods receiving information to generate goods classification results;
and the pushing signal generating module is used for generating a classification pushing signal according to the cargo classification result.
9. The intelligent logistics warehouse goods inventory system based on image information as claimed in claim 7, wherein the goods pushing control unit specifically comprises:
the pushing end matching module is used for matching the pushing end according to the goods classification result;
the cargo conveying monitoring module is used for conveying and monitoring the cargo and judging whether the cargo is close to the pushing end;
and the cargo pushing control module is used for sending the classification pushing signal to the pushing end head to carry out cargo pushing control when the cargo is close to the pushing end head.
10. The intelligent logistics warehouse goods inventory system based on image information as claimed in claim 7, wherein the goods stacking analysis unit specifically comprises:
the goods shooting and ranging module is used for shooting and ranging pushed goods to generate a real-time relative distance;
the cargo shape shooting module is used for shooting the shape when the real-time relative distance is equal to a preset standard shooting distance to obtain a cargo shape image;
the appearance size analysis module is used for carrying out appearance size analysis according to the cargo appearance image to obtain the cargo size specification;
and the goods stacking analysis module is used for performing goods stacking analysis according to the size specification of the goods to obtain a goods stacking layer and generating layered stacking signals.
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