CN117252512A - Warehouse layout method and device for storing contact net parts, computer equipment and storage medium - Google Patents
Warehouse layout method and device for storing contact net parts, computer equipment and storage medium Download PDFInfo
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Abstract
The invention provides a warehouse layout method for storing contact net parts, which comprises the following steps: s1, acquiring warehouse shelf layout information, and sending the information to a database table in an inspection system for storage; s2, adopting OCR to identify warehouse-in goods information; wherein, the goods include: storing contact net parts; s3, planning a goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information; s3, generating a cargo storage position diagram according to a cargo storage position scheme, and sending the cargo storage position diagram to a terminal device; the invention can effectively improve the logistics efficiency and the operation efficiency of the warehouse; has the advantages of advanced technology, simple and convenient operation, time saving, cost saving and the like.
Description
Technical Field
The invention relates to the technical field of warehouse management, in particular to a warehouse layout method, a warehouse layout device, computer equipment and a storage medium for storing contact net parts.
Background
The overhead contact system is a main framework of railway electrification engineering, and is a special type power transmission line which is erected along the overhead of a railway line and supplies power to an electric locomotive. The main parts of the contact net comprise contact hanging, supporting devices, positioning devices, supporting columns, foundation parts and the like.
In the existing warehouse management field, although a large logistics and large distribution management mode is provided, a material management system with flattened warehouse level, reasonable inventory structure and quota, standardized cross-regional distribution and complete service functions is built on a target construction device, so that the capacity and management burden of storage devices are further reduced, and the flexibility and pertinence of emergency material distribution are enhanced; however, the technology of the warehouse management method for storing the contact net parts is relatively backward, and at present, a warehouse management software system for storing the contact net parts can manually record warehouse layout and part information and then manually calculate to obtain part storage and picking paths, but a great deal of manpower and time are required in the mode.
Disclosure of Invention
In view of the above, the invention aims to avoid the defects in the prior art and provide a warehouse layout method, a warehouse layout device, a warehouse layout computer device and a warehouse layout storage medium for storing contact net parts, which not only can automatically generate an optimized cargo storage position scheme; meanwhile, the goods storage position diagram can be output, so that the reference and actual use of warehouse management personnel are facilitated, and the logistics efficiency and the operation efficiency of the warehouse are effectively improved.
The first aspect of the present invention provides a warehouse layout method for storing contact net parts, which is a warehouse layout method for storing contact net parts, comprising the following steps:
s1: acquiring warehouse shelf layout information, and sending the information to a database table in an inspection system for storage;
s2: adopting OCR to identify warehouse-in goods information; wherein, the goods include: storing contact net parts;
s3: planning a goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information;
s4: and generating a cargo storage position diagram according to the cargo storage position scheme, and sending the cargo storage position diagram to the terminal equipment.
Further, the step S1: the method for acquiring the layout information of the warehouse goods shelf comprises the following specific steps:
s11: acquiring the relative distance between the goods shelf module and the goods delivery module;
s12: sequentially generating corresponding numbers for the goods shelf modules according to the relative distance between the goods shelf modules and the goods delivery modules, wherein the smaller the relative distance between the goods shelf modules and the goods delivery modules is, the smaller the numbers of the goods shelf modules are;
s13: and sending the corresponding number of the shelf module into a database table in the inspection system for storage.
Further, the specific steps of acquiring the information of the warehouse-in goods are as follows:
s21: acquiring tag data of the material box by adopting a camera; wherein, the material box is internally stored with contact net storing parts;
s22: performing binarization and frame processing on the label data obtained in the step S21;
s23: and performing character recognition and extraction by using a perceptron learning algorithm, and obtaining extraction data of the material box.
Further, the algorithm for recognizing and extracting the characters by the learning algorithm of the sensing machine in the step S23 is as follows:
given a data set: t= { (x 1 ，y 1 )，(x 2 ，y 2 )，...，(x N ，y N )}
Wherein x is i ∈R n ，y i E {0,1}, calculate the parameters w, θ to make them the solution to minimize the loss function:
wherein the method comprises the steps ofA set of misclassified samples; if the threshold θ is considered as a "dummy node" with a fixed input of-1, namely: - θ= -1·wn+1=xn+1·wn+1
Then wTxi- θ can be reduced to:
wTxi-θ＝∑j＝1nwjxj+xn+1·wn+1＝∑j＝1n+1wjxj＝wTxi
wherein xi is Rn+1, w is Rn+1; according to this equation, the problem to be solved and digested can be further reduced to:
assuming that the misclassified sample set M is fixed, the gradient of the loss function L (w) can be found as:
the learning algorithm of the sensor specifically adopts a random gradient peak-down method, namely, in the process of miniaturization, instead of reducing the gradient of all misclassification points in the process, one misclassification point is randomly selected at a time to reduce the gradient, so that the updating formula of the weight u is as follows
w←w+Δw
Δw＝-η(y i -yi)xi＝η(yi-y i )xi。
Further, the method also comprises the step of fuzzy recognition of the information of the warehoused goods: character matching is carried out on the recognized result and the number existing in the database through an information cross-validation algorithm;
the LCS is followed to calculate the most likely recognition result id=max (LCS (a, xi)).
Further, the specific steps of planning the goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information are as follows:
s31: comparing and analyzing the information of the warehouse-in goods with a database table in an inspection system according to OCR recognition; if the information of the goods and the information in the database table are the same and have the same ratio of 70-100%, step S32 is carried out; if the information of the goods is the same as the information in the database table and the ratio is 30-70%, step S33 is carried out; if the information of the goods and the information in the database table are the same and have the same proportion of 0-30%, step S33 is carried out;
s32, if the information of the goods is 70-100% of the information in the database table, placing the goods in a range with smaller shelf numbers;
s33, if the information of the goods is the same as the information in the database table and the ratio is 30-70%, placing the goods in a shelf number intermediate value interval;
and S33, if the information of the goods and the information in the database table are the same and the ratio is 0-30%, placing the goods in a range with larger shelf numbers.
The warehouse layout method for storing catenary components of claim 6, wherein: further comprising a step S5, wherein the step S5 is as follows: and according to the generated goods storage position diagram, the warehouse-in goods are transported to the corresponding goods shelf modules through the transport robot modules.
A second aspect of the present invention provides a warehouse layout device for storing contact net parts, comprising: the warehouse module is used for storing the goods shelves;
the shipment module is used for transporting the goods in the warehouse out of the shipment module and is arranged on the left side of the warehouse module;
the goods shelf modules are used for placing contact net parts, a plurality of goods shelf modules are arranged, a number is arranged on each of the goods shelf modules, and the numbers are sequentially increased from left to right;
the material identification module is used for identifying and acquiring warehouse-in goods information; the material identification module is positioned at the upper end of the goods shelf module;
the material classification module is used for planning a goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information, and is positioned at one side of the material identification module;
the transport robot module is used for transporting cargoes to corresponding goods shelves according to the cargo storage position scheme, and is positioned between the material classification module and the goods shelf module;
and the drawing generation module is used for generating a goods storage position diagram according to the goods storage position scheme and sending the goods storage position diagram to the terminal equipment.
A third aspect of the invention provides a computer device comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is used for executing the computer program and realizing the warehouse layout method for storing the contact net parts when executing the computer program.
A fourth aspect of the present invention provides a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to implement the warehouse layout method for storing catenary components described above.
Compared with the prior art, the invention has the following beneficial effects:
(1) The invention provides a warehouse layout method for storing contact net parts, which comprises the following steps of S1, acquiring warehouse shelf layout information, and sending the information to a database table in an inspection system for storage; s2, adopting OCR to identify warehouse-in goods information; wherein, the goods include: storing contact net parts; s3, planning a goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information; s4, generating a cargo storage position diagram according to a cargo storage position scheme, and sending the cargo storage position diagram to a terminal device; by the layout method, an automatic means can be introduced into warehouse application for storing contact net parts, so that automatic design and automatic generation of a cargo storage position scheme are realized, an optimal and shortest path can be obtained, and the generation of path crossing and repetition is avoided; meanwhile, the system can also adapt to the requirements of other warehouses of different types; has the advantages of advanced technology, simple and convenient operation, time saving, cost saving and the like;
(2) Because the goods storage position diagram is generated according to the goods taking path scheme and the goods storage position scheme and is sent to the terminal equipment, the goods storage position diagram can be generated and output, and the goods storage position diagram is convenient for warehouse management personnel to refer to and actually use.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a flow chart of a warehouse layout method for storing contact net parts in example 1.
Fig. 2 is a diagram of the cargo storing position generated in example 1.
Fig. 3 is a schematic structural diagram of a warehouse layout device for storing contact net parts in example 2.
The figure comprises the following components: warehouse module 101, shelf module 102, material identification module 103, material classification module 104, transport robot module 105, shipment module 106.
Detailed Description
The invention will be further described with reference to the following examples.
The following detailed description of the invention is provided in connection with the accompanying drawings to facilitate understanding and grasping of the technical scheme of the invention.
In this embodiment, it should be understood that the directions or positional relationships indicated by the terms "middle", "upper", "lower", "top", "right", "end", "front", "back", "middle", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of description of the present invention, and do not indicate or imply that the apparatus or elements referred to must have a specific direction, be configured and operated in a specific direction, and thus should not be construed as limiting the present invention.
In this embodiment, if not specifically described, the members may be connected or fixed by bolts, pins, or the like, which are commonly used in the prior art, and therefore, the details thereof will not be described in this embodiment.
Example 1: warehouse layout method for storing contact net parts
The embodiment provides a warehouse layout method for storing contact net parts, which comprises the following steps:
s1, acquiring warehouse shelf layout information, and sending the information to a database table in an inspection system for storage; further, the specific steps of obtaining the layout information of the warehouse shelf are as follows:
s11, acquiring the relative distance between the goods shelf module and the goods delivery module;
s12, sequentially generating corresponding numbers for the goods shelf modules according to the relative distance between the goods shelf modules and the goods delivery modules, wherein the smaller the relative distance between the goods shelf modules and the goods delivery modules is, the smaller the numbers of the goods shelf modules are;
and S13, sending the corresponding number of the shelf module into a database table in the inspection system for storage.
S2, adopting OCR to identify warehouse-in goods information; wherein, the goods include: storing contact net parts;
further, the specific steps of acquiring the information of the warehouse-in goods are as follows:
s21, acquiring label data of a material box by adopting a camera; wherein, the material box is internally stored with contact net storing parts;
s22, binarizing the label data obtained in the step S21, and carrying out frame processing;
and S23, performing character recognition and extraction by using a perceptron learning algorithm, and obtaining extraction data of the material box.
Further, the algorithm for recognizing and extracting the characters by the learning algorithm of the sensing machine in the step S23 is as follows:
given a data set: t= { (x l ，y 1 )，(x 2 ，y 2 )，…，(x N ，y N )}
Wherein x is i ∈R n ，y i E {0,1}, calculate the parameters w, θ to make them the solution to minimize the loss function:
wherein the method comprises the steps ofA set of misclassified samples; if the threshold θ is considered as a "dummy node" with a fixed input of-1, namely: - θ= -1·wn+1=xn+1·wn+1
Then wTxi- θ can be reduced to:
wTxi-θ＝∑j＝1nwjxj+xn+1·wn+1＝∑j＝1n+1wjxj＝wTxi
wherein xi is Rn+1, w is Rn+1; according to this equation, the problem to be solved and digested can be further reduced to:
assuming that the misclassified sample set M is fixed, the gradient of the loss function L (w) can be found as:
the learning algorithm of the sensor specifically adopts a random gradient peak-down method, namely, in the process of miniaturization, instead of reducing the gradient of all misclassification points in the process, one misclassification point is randomly selected at a time to reduce the gradient, so that the updating formula of the weight u is as follows
w←w+Δw
Δw＝-η(y i -yi)xi＝η(yi-y i )xi。
Further, the method also comprises the step of fuzzy recognition of the information of the warehoused goods: character matching is carried out on the recognized result and the number existing in the database through an information cross-validation algorithm;
the LCS is followed to calculate the most likely recognition result id=max (LCS (a, xi)).
S3: planning a goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information;
further, the specific steps of planning the goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information are as follows:
s31: comparing and analyzing the information of the warehouse-in goods with a database table in an inspection system according to OCR recognition; if the information of the goods and the information in the database table are the same and have the same ratio of 70-100%, step S32 is carried out; if the information of the goods is the same as the information in the database table and the ratio is 30-70%, step S33 is carried out; if the information of the goods and the information in the database table are the same and have the same proportion of 0-30%, step S33 is carried out;
s32, if the information of the goods is 70-100% of the information in the database table, placing the goods in a range with smaller shelf numbers;
s33, if the information of the goods is the same as the information in the database table and the ratio is 30-70%, placing the goods in a shelf number intermediate value interval;
and S33, if the information of the goods and the information in the database table are the same and the ratio is 0-30%, placing the goods in a range with larger shelf numbers.
And S4, generating a cargo storage position diagram according to the cargo storage position scheme, and sending the cargo storage position diagram to the terminal equipment.
S5: and according to the generated goods storage position diagram, the warehouse-in goods are transported to the corresponding goods shelf modules through the transport robot modules.
The invention provides a warehouse layout method for storing contact net parts, which comprises the following steps of S1, acquiring warehouse shelf layout information, and sending the information to a database table in an inspection system for storage; s2, adopting OCR to identify warehouse-in goods information; wherein, the goods include: storing contact net parts; s3, planning a goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information; s4, generating a cargo storage position diagram according to a cargo storage position scheme, and sending the cargo storage position diagram to a terminal device; by the layout method, an automatic means can be introduced into warehouse application for storing contact net parts, so that automatic design and automatic generation of a cargo storage position scheme are realized, an optimal and shortest path can be obtained, and the generation of path crossing and repetition is avoided; meanwhile, the system can also adapt to the requirements of other warehouses of different types; has the advantages of advanced technology, simple and convenient operation, time saving, cost saving and the like;
because the goods storage position diagram is generated according to the goods taking path scheme and the goods storage position scheme and is sent to the terminal equipment, the goods storage position diagram can be generated and output, and the goods storage position diagram is convenient for warehouse management personnel to refer to and actually use.
Example 2: warehouse layout device for storing contact net parts
The embodiment provides a warehouse layout device for storing contact net spare parts, including:
a warehouse module 101 for storing shelves;
a shipment module 106, configured to ship the goods in the warehouse out of the shipment module and set at the left side of the warehouse module;
the shelf modules 102 are used for placing contact net parts, a plurality of shelf modules are arranged, a number is arranged on each shelf module, and the numbers are sequentially increased from left to right;
a material identification module 103, configured to identify and obtain information of warehoused goods; the material identification module is positioned at the upper end of the goods shelf module;
the material classification module 104 is configured to plan a cargo storage position scheme according to the warehouse cargo information and the warehouse shelf layout information, where the material classification module is located at one side of the material identification module;
a transport robot module 105 for transporting goods to corresponding shelves according to the goods storage location scheme, the transport robot module being located between the material sorting module and the shelf module;
and the drawing generation module is used for generating a goods storage position diagram according to the goods storage position scheme and sending the goods storage position diagram to the terminal equipment.
Example 3: computer equipment
The present embodiment provides a computer device including a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute the computer program and execute the computer program to implement the warehouse layout method for storing catenary components described in embodiment 1.
Example 4: computer readable storage medium
The present embodiment provides a computer-readable storage medium characterized in that: the computer-readable storage medium stores a computer program which, when executed by a processor, causes the processor to implement the warehouse layout method for storing catenary components described in embodiment 1.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. A warehouse layout method for storing contact net parts is characterized in that: the method comprises the following steps:
s1, acquiring warehouse shelf layout information, and sending the information to a database table in an inspection system for storage;
s2, adopting OCR to identify warehouse-in goods information; wherein, the goods include: storing contact net parts;
s3, planning a goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information;
and S4, generating a cargo storage position diagram according to the cargo storage position scheme, and sending the cargo storage position diagram to the terminal equipment.
2. The warehouse layout method for storing catenary components of claim 1, wherein: the method for acquiring the layout information of the warehouse goods shelf comprises the following specific steps of:
s11, acquiring the relative distance between the goods shelf module and the goods delivery module;
s12, sequentially generating corresponding numbers for the goods shelf modules according to the relative distance between the goods shelf modules and the goods delivery modules, wherein the smaller the relative distance between the goods shelf modules and the goods delivery modules is, the smaller the numbers of the goods shelf modules are;
and S13, sending the corresponding number of the shelf module into a database table in the inspection system for storage.
3. A warehouse layout method for storing catenary components as claimed in claim 2, wherein: the specific steps of acquiring the information of the warehouse-in goods are as follows:
s21, acquiring label data of a material box by adopting a camera; wherein, the material box is internally stored with contact net storing parts;
s22, binarizing the label data obtained in the step S21, and carrying out frame processing;
and S23, performing character recognition and extraction by using a perceptron learning algorithm, and obtaining extraction data of the material box.
4. A warehouse layout method for storing catenary components as claimed in claim 3, wherein: the algorithm for recognizing and extracting the characters by the learning algorithm of the sensing machine in the step S23 is as follows:
given a data set: t= { (x 1 ,y 1 ),(x 2 ,y 2 ),…,(x N ,y N )}
Wherein x is i ∈R n ,y i E {0,1}, calculate the parameters w, θ to make them the solution to minimize the loss function:
wherein the method comprises the steps ofA set of misclassified samples; if the threshold θ is considered as a "dummy node" with a fixed input of-1, namely: - θ= -1.wn+1=xn+1·wn+1
Then wTxi- θ can be reduced to:
wTxi-θ＝∑j＝1nwjxj+xn+1…wn+1＝∑j＝1n+1wjxj＝wTxi
wherein xi is Rn+1, w is Rn+1; according to this equation, the problem to be solved and digested can be further reduced to:
assuming that the misclassified sample set M is fixed, the gradient of the loss function L (w) can be found as:
the learning algorithm of the sensor specifically adopts a random gradient peak-down method, namely, in the process of miniaturization, instead of reducing the gradient of all misclassification points in the process, one misclassification point is randomly selected at a time to reduce the gradient, so that the updating formula of the weight u is as follows
w←w+Δw
Δw＝-η(y i -y i )xi＝η(yi-yi)xi。
5. A warehouse layout method for storing catenary components as claimed in claim 1 or 3, wherein: the method also comprises the step of fuzzy recognition of the information of the warehoused goods: character matching is carried out on the recognized result and the number existing in the database through an information cross-validation algorithm;
the LCS is followed to calculate the most likely recognition result id=max (LCS (a, xi)).
6. A warehouse layout method for storing catenary components as claimed in claim 3, wherein: the specific steps of planning the goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information are as follows:
s31: comparing and analyzing the information of the warehouse-in goods with a database table in an inspection system according to OCR recognition; if the information of the goods and the information in the database table are the same and have the same ratio of 70-100%, step S32 is carried out; if the information of the goods is the same as the information in the database table and the ratio is 30-70%, step S33 is carried out; if the information of the goods and the information in the database table are the same and have the same proportion of 0-30%, step S33 is carried out;
s32, if the information of the goods is 70-100% of the information in the database table, placing the goods in a range with smaller shelf numbers;
s33, if the information of the goods is the same as the information in the database table and the ratio is 30-70%, placing the goods in a shelf number intermediate value interval;
and S33, if the information of the goods and the information in the database table are the same and the ratio is 0-30%, placing the goods in a range with larger shelf numbers.
7. The warehouse layout method for storing catenary components of claim 6, wherein: further comprising a step S5, wherein the step S5 is as follows: and according to the generated goods storage position diagram, the warehouse-in goods are transported to the corresponding goods shelf modules through the transport robot modules.
8. A warehouse layout device for storing contact net spare part, its characterized in that: comprising the following steps:
the warehouse module is used for storing the goods shelves;
the shipment module is used for transporting the goods in the warehouse out of the shipment module and is arranged on the left side of the warehouse module;
the goods shelf modules are used for placing contact net parts, a plurality of goods shelf modules are arranged, a number is arranged on each of the goods shelf modules, and the numbers are sequentially increased from left to right;
the material identification module is used for identifying and acquiring warehouse-in goods information; the material identification module is positioned at the upper end of the goods shelf module;
the material classification module is used for planning a goods storage position scheme according to the warehouse goods information and the warehouse goods shelf layout information, and is positioned at one side of the material identification module;
the transport robot module is used for transporting cargoes to corresponding goods shelves according to the cargo storage position scheme, and is positioned between the material classification module and the goods shelf module;
and the drawing generation module is used for generating a goods storage position diagram according to the goods storage position scheme and sending the goods storage position diagram to the terminal equipment.
9. A computer device, characterized by: the computer device includes a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute the computer program and when executing the computer program is configured to implement a warehouse layout method for storing catenary components according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized by: the computer-readable storage medium stores a computer program which, when executed by a processor, causes the processor to implement the warehouse layout method for storing catenary components as claimed in any one of claims 1 to 7.
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| CN117436674A (en) * | 2023-12-20 | 2024-01-23 | 国网浙江省电力有限公司金华供电公司 | Processing method and equipment based on multi-mode detection of electric power supplies |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117436674A (en) * | 2023-12-20 | 2024-01-23 | 国网浙江省电力有限公司金华供电公司 | Processing method and equipment based on multi-mode detection of electric power supplies |
| CN117436674B (en) * | 2023-12-20 | 2024-03-01 | 国网浙江省电力有限公司金华供电公司 | Processing method and equipment based on multi-mode detection of electric power supplies |
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