CN117455367A - Intelligent logistics storage safety supervision method and system - Google Patents
Intelligent logistics storage safety supervision method and system Download PDFInfo
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention is applicable to the technical field of logistics storage safety, and particularly relates to an intelligent logistics storage safety supervision method and system, wherein the method comprises the following steps: determining a storage area, creating a patrol channel, collecting label signals of goods in the storage area, determining the label signals as standard signal values, and hashing the standard signal values to obtain hash values; determining stock pits and child nodes, transferring the standard signal values into the stock pits, and constructing pit position trees; reading a tag signal in a preset range of the inspection channel, acquiring a real-time signal value, crossing the corresponding relation between the stock pit and the hash value, classifying the real-time signal value into the stock pit, covering a standard signal value, and determining a change stock pit; and collecting warehouse task data. According to the invention, the inspection is carried out in the warehouse area, and the goods label signal is read, so that the warehouse condition and goods change can be mastered quickly and accurately, the synchronization of the inventory goods and production tasks is ensured, and the supervision efficiency of logistics warehouse safety is greatly improved.
Description
Technical Field
The invention relates to the technical field of logistics storage safety, in particular to an intelligent logistics storage safety supervision method and system.
Background
The logistics is a part of supply chain activities, is used for transferring goods, services and related information from a production place to a consumption place in order to meet the needs of customers, is centered on storage, promotes production and market synchronization, is a comprehensive place for centralizing the material activity status of a reaction factory, is a transfer station for connecting production, supply and sales, plays an important auxiliary role in promoting production and improving efficiency, and is extremely important for supervision of logistics storage.
Due to the continuous development of the logistics industry, the supervision pressure of logistics warehouse is also higher and higher, the situations that goods are unequal in warehouse-in and warehouse-out information, stock goods are different from production tasks and the like are frequently caused, and the occurrence of the situations can cause larger economic loss for logistics warehouse parties; therefore, how to determine the goods change through inspection and ensure the synchronization of the stock goods and the production tasks is the technical problem to be solved by the invention.
Disclosure of Invention
The invention aims to provide an intelligent logistics storage safety supervision method and system, which are used for solving the problems of how to determine goods change and guarantee the synchronization of inventory goods and production tasks through inspection in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent logistics storage security supervision method, the method comprising:
determining a storage area, creating a patrol channel, collecting label signals of goods in the storage area, determining the label signals as standard signal values, and hashing the standard signal values to obtain hash values;
determining stock pits and child nodes, transferring the standard signal values into the stock pits, and constructing pit position trees;
reading a tag signal in a preset range of the inspection channel, acquiring a real-time signal value, crossing the corresponding relation between the stock pit and the hash value, classifying the real-time signal value into the stock pit, covering a standard signal value, and determining a change stock pit;
collecting warehouse task data and analyzing a migration route;
judging whether the change stock pit is the same as the migration route, if so, proving that the logistics storage has no abnormal change, and if not, pushing the change stock pit into a preset terminal.
Further, the steps of determining the storage area, creating a patrol channel, collecting label signals of goods in the storage area, determining the label signals as standard signal values, and hashing the standard signal values to obtain hash values include:
determining a storage area, determining a routing inspection point position, defining the routing inspection point position as a single point, connecting the single point to obtain an edge, determining the weight of the edge, and generating a weighted graph;
constructing a weighted function, minimizing the sum of weights in the weighted graph, and solving an objective function to obtain a patrol passage;
and determining a hash function, and carrying out hash on the standard signal value to obtain a hash value.
Further, the step of determining the stock pit and the child node, transferring the standard signal value to the stock pit, and constructing a pit bit tree comprises the following steps:
determining an inventory pit, and expanding a child node of the inventory pit;
constructing a corresponding relation between the stock pit and the hash value, and inserting the corresponding relation into the stock pit;
and constructing a pit tree by utilizing the stock pits and the child nodes.
Further, the step of reading the tag signal in the preset range of the inspection channel, obtaining a real-time signal value, crossing the corresponding relation between the stock pit and the hash value, classifying the real-time signal value into the stock pit, covering the standard signal value, and determining the change stock pit includes:
reading a real-time signal value in a preset range of the inspection channel, crossing the corresponding relation between a standard signal value and a hash value, classifying the real-time signal value into the stock pit, and covering the standard signal value;
and calculating the front-back change of the stock pit by using the child nodes, and determining the change stock pit.
Further, the step of collecting warehouse task data and analyzing the migration route includes:
generating a task form, collecting storage task data, classifying the storage task data into the task form, and determining a migration route, wherein the migration route comprises a starting point item and an end point item.
Further, the step of determining whether the change stock pit is the same as the migration route, if so, proving that the logistics warehouse has no abnormal change, and if not, pushing the change stock pit to a preset terminal comprises the following steps:
determining a starting point item and an ending point item according to the migration route;
and judging whether the change stock pit, the starting point item and the end point item are identical.
Further, the method further comprises:
acquiring statistical information of stock pits and change stock pits, and generating a statistical item;
and sorting the statistical items, inputting the statistical items into a trained statistical model, and outputting to obtain a statistical report.
Further, the system includes:
the hash module can determine a storage area, create a patrol channel, collect label signals of goods in the storage area, determine the label signals as standard signal values, hash the standard signal values and obtain hash values;
the transfer module can determine stock pits and child nodes, transfer the standard signal values into the stock pits and construct pit position trees;
the crossing module can read the label signal in the preset range of the inspection channel, acquire a real-time signal value, cross the corresponding relation between the stock pit and the hash value, and classify the real-time signal value into the stock pit, cover the standard signal value and determine the change stock pit;
the analysis module is used for collecting the warehouse task data and analyzing the migration route;
the judging module can judge whether the change stock pit and the migration route are the same, if so, the judgment module proves that the logistics storage has no abnormal change, and if not, the change stock pit is pushed to a preset terminal.
Further, the hash module includes:
the weighting unit is used for determining a storage area, determining a routing inspection point position, defining the routing inspection point position as a single point, connecting the single point to obtain an edge, determining the weight of the edge and generating a weighted graph;
the solving unit can construct a weighted function, so that the sum of weights in the weighted graph is minimum, and solve an objective function to obtain a patrol passage;
the acquisition unit can determine a hash function, hash the standard signal value and acquire a hash value.
Further, the transfer module includes:
the expansion unit can determine an inventory pit and expand child nodes of the inventory pit;
the inserting unit can construct the corresponding relation between the stock pit and the hash value and insert the corresponding relation into the stock pit;
and the construction unit can construct a pit position tree by utilizing the stock pits and the child nodes.
Compared with the prior art, the invention has the beneficial effects that:
1. inventory can be clearly checked by constructing a pit tree, so that safety supervision of goods is realized, goods change can be rapidly mastered by determining a change inventory pit, safety supervision efficiency is further improved, circulation of the goods can be monitored by comparing the change inventory pit with a migration route, abnormal circulation of the goods is avoided, and safety of the goods is ensured; through patrol in the storage area, the goods label signal is read, the storage condition and the goods change condition can be mastered quickly and accurately, the synchronization of the stock goods and the production task is ensured, the whole process is high in intelligent degree, and the using effect is good.
2. Through statistics of the stock pits and the change stock pits, the stock of the logistics warehouse can be mastered more accurately, and enterprises can be guided to produce better according to the statistics report.
Drawings
Fig. 1 is a flow chart diagram of an intelligent logistics storage security supervision method provided by an embodiment of the invention;
fig. 2 is a first sub-flowchart block diagram of an intelligent logistics storage security supervision method according to an embodiment of the present invention;
fig. 3 is a second sub-flowchart block diagram of the intelligent logistics storage security monitoring method according to the embodiment of the present invention;
fig. 4 is a third sub-flowchart block diagram of an intelligent logistics storage security supervision method according to an embodiment of the present invention;
fig. 5 is a fourth sub-flowchart block diagram of an intelligent logistics storage security supervision method according to an embodiment of the present invention;
fig. 6 is a fifth sub-flowchart block diagram of an intelligent logistics storage security supervision method according to an embodiment of the present invention;
fig. 7 is a block diagram of an intelligent logistics storage security supervision system according to an embodiment of the present invention;
fig. 8 is a block diagram of a hash module in the intelligent logistics storage security supervision system according to an embodiment of the present invention;
fig. 9 is a block diagram of a transfer module in the intelligent logistics storage safety supervision system according to an embodiment of the present invention;
fig. 10 is a block diagram of a cross module in the intelligent logistics storage security monitoring system according to an embodiment of the present invention;
fig. 11 is a block diagram of an analysis module in the intelligent logistics storage safety supervision system according to an embodiment of the present invention;
fig. 12 is a block diagram of a judgment module in the intelligent logistics storage safety supervision system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In embodiment 1, fig. 1 shows a flow of implementing the intelligent logistics storage security supervision method according to the embodiment of the present invention, and the following details are described below:
s100: determining a storage area, creating a patrol channel, collecting label signals of goods in the storage area, determining the label signals as standard signal values, and carrying out hash on the standard signal values to obtain hash values.
According to the plan of logistics storage factory building, confirm the storage region that can be used to carry out goods storage to carry out neat pile up goods in storage region, should leave the passageway of patrolling and examining that is used for patrolling and examining, goods from top to bottom between the goods simultaneously.
Before goods are stacked, firstly, RFID labels are required to be manufactured and stuck on the goods, and generally, one RFID label is stuck on the goods in a single unit volume; a reader-writer is arranged at the entrance and exit of the storage area, and when goods pass through the reader-writer, the reader-writer can automatically read information in the tag; in the daily inspection process, a worker holds the read-write equipment, acquires tag signals of goods in a storage area, takes the acquired tag signals as standard signal values, and needs to use a reader-writer for signal conversion in the process; and selecting the existing hash function according to the data distribution of the standard signal values, and carrying out hash on the standard signal values to obtain hash values.
Goods information in the warehouse area can be simply acquired by manufacturing the RFID tag, the reader-writer and the reader-writer, so that the acquisition of inventory data is realized, the acquisition process of the inventory data is greatly shortened, and the consumption of manpower and material resources is reduced.
S200: and determining stock pits and child nodes, transferring the standard signal values into the stock pits, and constructing pit bit trees.
When a reader-writer is used for acquiring a single RFID tag, the acquired data are stored in stock pits, each stock pit stores the storage data of a unit volume of goods, the storage data of the whole storage area can be obtained by combining the data in all the stock pits, and then the sub-nodes are determined and are mainly used for processing the data in the stock pits; after the determination of the stock pit and the child node is completed, transferring the standard signal value into the stock pit, and constructing a pit position tree by utilizing the stock pit and the child node;
the hash value is mainly used for constructing the corresponding relation between the standard signal value and the stock pit, and shortening the transfer process of the standard signal value, so that the processing efficiency of stock data is improved.
S300: and reading the tag signals in the preset range of the inspection channel, obtaining a real-time signal value, crossing the corresponding relation between the stock pit and the hash value, classifying the real-time signal value into the stock pit, covering the standard signal value, and determining the change stock pit.
Reading a tag signal in a preset range of the inspection channel, wherein the preset range is determined according to the signal receiving distance of read-write equipment of the RFID tag; when a worker holds the read-write equipment, the read-write equipment can be received through the inspection channel, the receiving distance is the radius, the label signal of the RFID label in the range is received, the real-time signal value in the storage area is obtained through the processing of cleaning, feature extraction and the like of the label information, the real-time signal value is classified into the storage pit according to the corresponding relation between the standard signal value and the storage pit, the standard signal value is covered, the data change before and after the storage pit is compared, the changed storage pit is found out, and the change storage pit is determined.
S400: and collecting warehouse task data and analyzing a migration route.
Collecting warehousing task data, wherein the warehousing task data is the article calling task data in actual production, for example, 10 units of articles in unit volume are warehousing task data, and the warehousing task data can be from daily work arrangement of a logistics warehouse manager; and analyzing the warehouse task data to determine a migration route.
S500: judging whether the change stock pit is the same as the migration route, if so, proving that the logistics storage has no abnormal change, and if not, pushing the change stock pit into a preset terminal.
Judging whether the change stock pit is the same as the migration route, if so, proving that the logistics warehouse has no abnormal change, and if not, pushing the change stock pit into a preset terminal, wherein the terminal is constructed by a logistics warehouse manager; the logistics storage manager can acquire the change condition of the goods stock in the storage area by inquiring the change stock pit.
In embodiment 2, fig. 2 shows a flow of implementing the intelligent logistics storage security supervision method provided by the embodiment of the present invention, in which, for the determining storage area, a patrol channel is created, a label signal of an article in the storage area is collected, and determined as a standard signal value, and the standard signal value is hashed, and the hash value is obtained in detail, as follows:
s101: and determining a storage area, determining a routing inspection point position, defining the routing inspection point position as a single point, connecting the single point to obtain an edge, determining the weight of the edge, and generating a weighted graph.
After the warehouse area is determined, the inspection point positions are found according to the plan of the logistics warehouse factory building, and the receiving range of the read-write equipment of the RFID tag is limited, so that the tag signals in the whole warehouse area can be acquired after all the inspection point positions are inspected; the method comprises the steps of finding out the inspection point by using a mathematical method, defining the inspection point as a single point, connecting adjacent single points to obtain edges, determining the weight of the edges according to the stacking positions of goods on two sides of the edges, and finally generating a weighted graph.
S102: constructing a weighted function, minimizing the sum of the weights in the weighted graph, and solving an objective function to obtain the inspection channel.
And constructing a weighting function according to the characteristics and the distribution of the weight, solving the weighting function, determining the positions of the edges, and integrating all the edges in a plan view to obtain the inspection channel.
S103: and determining a hash function, and carrying out hash on the standard signal value to obtain a hash value.
Determining a hash function according to the data distribution of the standard signal values, and carrying out hash on the standard signal values to obtain hash values; the hash value is calculated mainly to determine the corresponding relation between the standard signal value and the stock pit, so that the transfer efficiency of the standard signal value is improved.
In embodiment 3, fig. 3 shows a flow of implementing the intelligent logistics storage security supervision method according to the embodiment of the present invention, and the steps of determining the storage pit and the child node, transferring the standard signal value to the storage pit, and constructing the pit bit tree are described in detail below:
s201: and determining an inventory pit, and expanding the child nodes of the inventory pit.
And determining an inventory pit and a child node, wherein the inventory pit is mainly used for storing a standard signal value and a real-time signal value, and the child node is mainly used for comparing the difference value of the standard signal value and the real-time signal value to determine a change inventory pit.
S202: and constructing a corresponding relation between the stock pit and the hash value, and inserting the corresponding relation into the stock pit.
Determining the corresponding relation between the stock pit and the hash value, and inserting the corresponding relation into the stock pit; by utilizing the correspondence, a fast transfer of the standard signal value and the real-time signal value can be achieved.
S203: and constructing a pit tree by utilizing the stock pits and the child nodes.
Through utilizing stock pit and child node, can construct the hole position tree to adjust the position of stock pit better, help we plan the overall arrangement of storage region better, make the space utilization in storage region higher simultaneously, reduce the handling distance of goods.
In embodiment 4, fig. 4 shows a flow of implementing the intelligent logistics storage security supervision method according to the embodiment of the present invention, and the steps of reading the tag signal within the preset range of the inspection channel, obtaining a real-time signal value, spanning the correspondence between the stock pit and the hash value, classifying the real-time signal value into the stock pit, covering the standard signal value, and determining the change stock pit are described in detail as follows:
s301: and reading the real-time signal value in the preset range of the inspection channel, crossing the corresponding relation between the standard signal value and the hash value, classifying the real-time signal value into the stock pit, and covering the standard signal value.
The staff holds the read-write equipment, reads the label signal of the RFID label in the warehouse area through the inspection channel, notices that every RFID label in the warehouse area needs to be read, no dead angle exists, spans the corresponding relation between the standard signal value and the hash value, the spanning meaning is utilized, the real-time signal value is classified into the stock pit by utilizing the corresponding relation between the standard signal value and the hash value, and the original standard signal value in the stock pit is covered.
S302: and calculating the front-back change of the stock pit by using the child nodes, and determining the change stock pit.
The child node is mainly used for calculating the change of the stock pit, if the data in the stock pit is changed, the stock pit is determined to be a changed stock pit, and if the data in the stock pit is not changed, the data is directly ignored.
In embodiment 5, fig. 5 shows a flow of implementing the intelligent logistics storage security supervision method according to the embodiment of the present invention, and the steps of collecting storage task data and analyzing a migration route are described in detail as follows:
s401: generating a task form, collecting storage task data, and classifying the storage task data into the task form.
And generating a task form according to the production task, wherein the task form is the task arrangement of logistics storage, such as transferring a certain article to a certain place, or carrying out warehouse-out or warehouse-in on a certain article, and classifying the task arrangement into the task form to complete collection of warehouse task data.
S402: and determining a migration route, wherein the migration route comprises a starting point item and an ending point item.
According to the storage task data, a migration route is determined, and according to the migration route, a starting point item and an end point item are determined, wherein the starting point item is a starting point of goods, the starting point item is a certain position of logistics storage, and the end point item can be other positions of logistics storage or a destination after delivery.
In embodiment 6, fig. 6 shows a flow of implementing the intelligent logistics storage safety supervision method according to the embodiment of the present invention, and the following details the steps of determining whether the change stock pit is identical to the migration route, if so, proving that there is no abnormal change in logistics storage, and if not, pushing the change stock pit to a preset terminal, where the steps are as follows:
s501: and determining a starting point item and an ending point item according to the migration route.
And determining a starting point item and an ending point item according to the migration route.
S502: and judging whether the change stock pit, the starting point item and the end point item are identical.
Judging whether the change stock pit, the starting point item and the end point item are the same or not, if so, proving that the warehouse logistics have no abnormal change, if so, proving that the warehouse logistics have abnormal change, and pushing the change stock pit into a preset terminal, wherein the missing goods can be quickly locked through analysis of the change stock pit, so that management of the warehouse logistics is realized.
In embodiment 7, unlike embodiment 1, in an embodiment of the present invention, the method further includes:
acquiring statistical information of stock pits and change stock pits, and generating a statistical item;
sorting the statistical items, inputting the statistical items into a trained statistical model, and outputting to obtain a statistical report;
generating a statistical item by utilizing the stock pit and the change stock pit, sorting the statistical item, obtaining statistical data, inputting the statistical item into a statistical model, and outputting to obtain a statistical report; firstly, according to the nature and the target of statistics required, reasonable assumption and model form are put forward, the statistical model and variables required to be used are determined, the statistical model is built based on the model form, and the statistical model is trained by utilizing the existing data, so that the trained statistical model is obtained.
Fig. 7 shows a block diagram of a composition structure of an intelligent logistics storage safety supervision system according to an embodiment of the present invention, where the intelligent logistics storage safety supervision system 1 includes:
the hash module 11 can determine a storage area, create a patrol channel, collect label signals of goods in the storage area, determine the label signals as standard signal values, hash the standard signal values and obtain hash values;
a transfer module 12, which can determine stock pits and child nodes, and transfer the standard signal values to the stock pits to construct pit bit trees;
the crossing module 13 can read the label signals in the preset range of the inspection channel, acquire real-time signal values, cross the corresponding relation between the stock pits and the hash values, classify the real-time signal values into the stock pits, cover standard signal values and determine the change stock pits;
the analysis module 14 is used for collecting warehouse task data and analyzing the migration route;
the judging module 15 can judge whether the change stock pit and the migration route are the same, if so, the logistics storage is proved to be unchanged, and if not, the change stock pit is pushed to a preset terminal.
Fig. 8 shows a block diagram of a composition structure of an intelligent logistics storage security supervision system according to an embodiment of the present invention, where the hash module 11 includes:
the weighting unit 111 is configured to determine a storage area, determine a routing inspection point, define the routing inspection point as a single point, connect the single point to obtain an edge, determine a weight of the edge, and generate a weighted graph;
the solving unit 112 may construct a weighting function, so as to minimize the sum of the weights in the weighting map, and solve the objective function to obtain the inspection channel;
the obtaining unit 113 may determine a hash function, hash the standard signal value, and obtain a hash value.
Fig. 9 shows a block diagram of the composition and structure of an intelligent logistics storage security monitoring system according to an embodiment of the present invention, where the transfer module 12 includes:
an expansion unit 121 capable of determining an inventory pit and performing child node expansion on the inventory pit;
the inserting unit 122 may construct a correspondence between the stock pit and the hash value, and insert the correspondence into the stock pit;
the construction unit 123 can construct a pit-bit tree using the stock pits and child nodes.
Fig. 10 shows a block diagram of the composition and structure of the intelligent logistics storage security monitoring system according to the embodiment of the present invention, where the spanning module 13 includes:
the covering unit 131 may read the real-time signal value within the preset range of the inspection channel, span the corresponding relationship between the standard signal value and the hash value, and classify the real-time signal value into the stock pit to cover the standard signal value;
the calculation unit 132 can calculate the front-back change in the stock pit by using the child node, and determine the change stock pit.
Fig. 11 shows a block diagram of a composition structure of an intelligent logistics storage security monitoring system according to an embodiment of the present invention, where the analysis module 14 includes:
the generating unit 141 may generate a task form, collect warehouse task data, and assign the warehouse task data to the task form.
And a migration unit 142 for determining a migration route including a start point item and an end point item.
Fig. 12 shows a block diagram of a composition structure of an intelligent logistics storage security monitoring system according to an embodiment of the present invention, where the determining module 15 includes:
a determining unit 151 capable of determining a start point item and an end point item from the migration route;
and a changing unit 152 for determining whether the change stock pit, the start point item, and the end point item are identical.
The hash module 11 is mainly used for completing step S100, the transfer module 12 is mainly used for completing step S200, the spanning module 13 is mainly used for completing step S300, the analysis module 14 is mainly used for completing step S400, and the judgment module 15 is mainly used for completing step S500;
the weighting unit 111 is mainly used for completing step S101, the solving unit 112 is mainly used for completing step S102, the obtaining unit 113 is mainly used for completing step S103, the expanding unit 121 is mainly used for completing step S201, the inserting unit 122 is mainly used for completing step S202, the constructing unit 123 is mainly used for completing step S203, the covering unit 131 is mainly used for completing step S301, the calculating unit 132 is mainly used for completing step S302, the generating unit 141 is mainly used for completing step S401, the migrating unit 142 is mainly used for completing step S402, the determining unit 151 is mainly used for completing step S501, and the changing unit 152 is mainly used for completing step S502.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. An intelligent logistics storage safety supervision method is characterized by comprising the following steps:
determining a storage area, creating a patrol channel, collecting label signals of goods in the storage area, determining the label signals as standard signal values, and hashing the standard signal values to obtain hash values;
determining stock pits and child nodes, transferring the standard signal values into the stock pits, and constructing pit position trees;
reading a tag signal in a preset range of the inspection channel, acquiring a real-time signal value, crossing the corresponding relation between the stock pit and the hash value, classifying the real-time signal value into the stock pit, covering a standard signal value, and determining a change stock pit;
collecting warehouse task data and analyzing a migration route;
judging whether the change stock pit is the same as the migration route, if so, proving that the logistics storage has no abnormal change, and if not, pushing the change stock pit into a preset terminal.
2. The method of claim 1, wherein the steps of determining a warehouse area, creating a patrol aisle, collecting tag signals of goods in the warehouse area, determining the tag signals as standard signal values, and hashing the standard signal values, and obtaining hash values include:
determining a storage area, determining a routing inspection point position, defining the routing inspection point position as a single point, connecting the single point to obtain an edge, determining the weight of the edge, and generating a weighted graph;
constructing a weighted function, minimizing the sum of weights in the weighted graph, and solving an objective function to obtain a patrol passage;
and determining a hash function, and carrying out hash on the standard signal value to obtain a hash value.
3. The method of claim 2, wherein the step of determining stock pits and child nodes, transferring the standard signal values into stock pits, and constructing a pit-bit tree comprises:
determining an inventory pit, and expanding a child node of the inventory pit;
constructing a corresponding relation between the stock pit and the hash value, and inserting the corresponding relation into the stock pit;
and constructing a pit tree by utilizing the stock pits and the child nodes.
4. The method of claim 3, wherein the step of reading the tag signal within the predetermined range of the inspection channel, obtaining a real-time signal value, classifying the real-time signal value into the stock pit across the correspondence between the stock pit and the hash value, covering a standard signal value, and determining a change stock pit comprises:
reading a real-time signal value in a preset range of the inspection channel, crossing the corresponding relation between a standard signal value and a hash value, classifying the real-time signal value into the stock pit, and covering the standard signal value;
and calculating the front-back change in the stock pit by using the child nodes, and determining the change stock pit.
5. The method of claim 1, wherein the step of collecting warehouse task data and analyzing the migration path comprises:
generating a task form, collecting storage task data, classifying the storage task data into the task form, and determining a migration route, wherein the migration route comprises a starting point item and an end point item.
6. The method according to claim 5, wherein the step of determining whether the change stock pit is identical to the migration route, if so, proving that there is no abnormal change in the logistics warehouse, and if not, pushing the change stock pit to a preset terminal comprises:
determining a starting point item and an ending point item according to the migration route;
and judging whether the change stock pit, the starting point item and the end point item are identical.
7. The method according to claim 1, wherein the method further comprises:
acquiring statistical information of stock pits and change stock pits, and generating a statistical item;
and sorting the statistical items, inputting the statistical items into a trained statistical model, and outputting to obtain a statistical report.
8. An intelligent logistics warehouse safety supervision system, the system comprising:
the hash module can determine a storage area, create a patrol channel, collect label signals of goods in the storage area, determine the label signals as standard signal values, hash the standard signal values and obtain hash values;
the transfer module can determine stock pits and child nodes, transfer the standard signal values into the stock pits and construct pit position trees;
the crossing module can read the label signal in the preset range of the inspection channel, acquire a real-time signal value, cross the corresponding relation between the stock pit and the hash value, and classify the real-time signal value into the stock pit, cover the standard signal value and determine the change stock pit;
the analysis module is used for collecting the warehouse task data and analyzing the migration route;
the judging module can judge whether the change stock pit and the migration route are the same, if so, the judgment module proves that the logistics storage has no abnormal change, and if not, the change stock pit is pushed to a preset terminal.
9. The system of claim 8, wherein the hash module comprises:
the weighting unit is used for determining a storage area, determining a routing inspection point position, defining the routing inspection point position as a single point, connecting the single point to obtain an edge, determining the weight of the edge and generating a weighted graph;
the solving unit can construct a weighted function, so that the sum of weights in the weighted graph is minimum, and solve an objective function to obtain a patrol passage;
the acquisition unit can determine a hash function, hash the standard signal value and acquire a hash value.
10. The system of claim 9, wherein the transfer module comprises:
the expansion unit can determine an inventory pit and expand child nodes of the inventory pit;
the inserting unit can construct the corresponding relation between the stock pit and the hash value and insert the corresponding relation into the stock pit;
and the construction unit can construct a pit position tree by utilizing the stock pits and the child nodes.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150008259A1 (en) * | 2012-03-27 | 2015-01-08 | Zhuhai Sunhome Information Co., Ltd. | Automatic Logistics System Using Trigger Forwarding Device |
| CN107862759A (en) * | 2017-10-31 | 2018-03-30 | 东华大学 | One kind storage intelligent patrol detection device and method |
| CN108469830A (en) * | 2018-03-10 | 2018-08-31 | 康玲 | A kind of intelligent storage check system and method based on unmanned plane |
| CN108921461A (en) * | 2018-05-16 | 2018-11-30 | 天津科技大学 | Warehousing system and control method based on RFID technique |
| CN111091322A (en) * | 2019-12-06 | 2020-05-01 | 南通中实纺织交易市场有限公司 | Management method of intelligent warehousing platform based on RFID |
| CN112158506A (en) * | 2020-10-13 | 2021-01-01 | 合肥中科创奥数字科技有限公司 | Logistics warehouse is with patrolling and examining robot |
| CN113238575A (en) * | 2021-05-08 | 2021-08-10 | 北京京东乾石科技有限公司 | Storage checking and inspection method and system, control equipment, unmanned aerial vehicle and storage equipment |
| CN113837701A (en) * | 2021-01-11 | 2021-12-24 | 台州动产质押金融服务有限公司 | Storage supervisory systems based on RFID label |
| CN116245455A (en) * | 2023-03-08 | 2023-06-09 | 厦门汇仓配物联网科技有限公司 | Intelligent logistics storage safety supervision system |
-
2023
- 2023-12-25 CN CN202311785524.1A patent/CN117455367B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150008259A1 (en) * | 2012-03-27 | 2015-01-08 | Zhuhai Sunhome Information Co., Ltd. | Automatic Logistics System Using Trigger Forwarding Device |
| CN107862759A (en) * | 2017-10-31 | 2018-03-30 | 东华大学 | One kind storage intelligent patrol detection device and method |
| CN108469830A (en) * | 2018-03-10 | 2018-08-31 | 康玲 | A kind of intelligent storage check system and method based on unmanned plane |
| CN108921461A (en) * | 2018-05-16 | 2018-11-30 | 天津科技大学 | Warehousing system and control method based on RFID technique |
| CN111091322A (en) * | 2019-12-06 | 2020-05-01 | 南通中实纺织交易市场有限公司 | Management method of intelligent warehousing platform based on RFID |
| CN112158506A (en) * | 2020-10-13 | 2021-01-01 | 合肥中科创奥数字科技有限公司 | Logistics warehouse is with patrolling and examining robot |
| CN113837701A (en) * | 2021-01-11 | 2021-12-24 | 台州动产质押金融服务有限公司 | Storage supervisory systems based on RFID label |
| CN113238575A (en) * | 2021-05-08 | 2021-08-10 | 北京京东乾石科技有限公司 | Storage checking and inspection method and system, control equipment, unmanned aerial vehicle and storage equipment |
| CN116245455A (en) * | 2023-03-08 | 2023-06-09 | 厦门汇仓配物联网科技有限公司 | Intelligent logistics storage safety supervision system |
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