CN117973998A - Goods warehousing system, method, equipment and medium based on nfc label identification - Google Patents

Goods warehousing system, method, equipment and medium based on nfc label identification Download PDF

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Publication number
CN117973998A
CN117973998A CN202410123879.2A CN202410123879A CN117973998A CN 117973998 A CN117973998 A CN 117973998A CN 202410123879 A CN202410123879 A CN 202410123879A CN 117973998 A CN117973998 A CN 117973998A
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goods
warehouse
cargo
delivery
information
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石华
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Shenzhen Hongka Intelligent Technology Development Co ltd
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Shenzhen Hongka Intelligent Technology Development Co ltd
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Abstract

The invention relates to the technical field of wireless communication and provides a goods warehousing system, a method, equipment and a medium based on nfc label identification, wherein the system comprises an nfc label generation module, a goods warehousing information generation module, a goods ex-warehouse priority calculation module, a goods ex-warehouse information generation module and a real-time warehousing state determination module, so as to generate an nfc label of target goods and perform initial goods category screening on the warehoused goods; calculating a warehouse-in position signal distance of warehouse-in cargoes in the warehouse-in cargo range, positioning the actual warehouse-in position of the warehouse-in cargoes, and updating the warehouse-in information of the warehouse-in cargoes in real time; the method comprises the steps of screening initial cargo categories of the delivered cargoes, and calculating delivery priorities of the delivered cargoes in the range of the delivered cargoes; positioning the actual delivery position of delivery goods, and updating delivery information of goods storage in real time; and carrying out inventory checking on the goods, and determining the real-time storage state of the goods storage according to the inventory checking information. The invention can improve the efficiency of goods storage.

Description

Goods warehousing system, method, equipment and medium based on nfc label identification
Technical Field
The invention relates to the technical field of wireless communication, in particular to a cargo warehousing system, a method, equipment and a medium based on nfc label identification.
Background
In recent years, the radio frequency technology has been integrated into the life of people, and the application of the radio frequency technology in many fields at home and abroad, especially in the fields of logistics, food tracing and the like, is most widely spread, but in order to improve the efficiency of goods storage, various aspects in the goods storage process need to be optimized for high-efficiency goods storage.
Existing cargo warehouse management techniques typically implement automated recording and tracking of cargo based on cargo bar codes. In practical application, every goods all need to contact in proper order to carry out scanning operation to the goods based on the goods bar code, and the speed of scanning is slower relatively, leads to too complicacy to the operation of goods storage to efficiency when carrying out goods storage is lower.
Disclosure of Invention
The invention provides a cargo warehousing system, a cargo warehousing method and a cargo warehousing medium based on nfc label identification, and mainly aims to solve the problem of low efficiency in cargo warehousing.
In order to achieve the above object, the invention provides a cargo warehousing system based on nfc label recognition, which comprises an nfc label generation module, a cargo warehousing information generation module, a cargo ex-warehouse priority calculation module, a cargo ex-warehouse information generation module and a real-time warehousing state determination module, wherein,
The nfc label generation module is used for extracting key goods characteristics of preset target goods, generating an nfc label of the target goods according to the key goods characteristics, and carrying out initial goods category screening on the warehouse-in goods according to a preset warehouse-in request of the warehouse-in goods and the nfc label to obtain a warehouse-in goods range;
The goods warehousing information generation module is used for calculating the warehousing position signal distance of the warehoused goods in the range of the warehoused goods through a preset signal intensity loss algorithm, positioning the actual warehousing position of the warehoused goods according to the warehousing position signal distance, and updating the warehousing information of the goods warehousing in real time according to the actual warehousing position;
the goods delivery priority calculating module is used for carrying out initial goods category screening on the delivery goods through a preset delivery request of the delivery goods and the nfc label to obtain a delivery goods range, and calculating the delivery priority of the delivery goods in the delivery goods range by utilizing a preset delivery priority algorithm, wherein the goods delivery priority calculating module is specifically used for: extracting the value standard and the time standard of the delivered goods in the delivered goods range; calculating the delivery priority value of the delivery goods in the delivery goods range according to the value standard and the time standard by using the following preset delivery priority algorithm:
Wherein δ k is the delivery priority value of the kth cargo category, a km is the weight coefficient of the mth value standard in the kth cargo category, x km is the value score of the mth value standard in the kth cargo category, c kn is the weight coefficient of the nth time standard in the kth cargo category, y kn is the time score of the nth time standard in the kth cargo category, M is the standard attribute number of the value standard, and N is the standard attribute number of the time standard;
determining the delivery priority of the delivery goods according to the delivery priority value;
The goods delivery information generation module is used for positioning the actual delivery position of the delivery goods by using a preset label collision algorithm and the delivery goods priority, and updating delivery information of goods storage in real time according to the actual delivery position;
the real-time storage state determining module is used for carrying out goods inventory checking according to the nfc label, the warehouse-in information and the warehouse-out information to obtain goods inventory checking information, and determining the real-time storage state of goods storage according to the goods inventory checking information.
Optionally, the nfc tag generation module is specifically configured to, when generating an nfc tag of the target cargo according to the key cargo feature:
generating a tag data structure of the target cargo according to the key cargo features;
performing feature coding on the key cargo features to obtain key cargo feature codes;
And generating an nfc label of the target goods according to the label data structure and the key goods characteristic code.
Optionally, the nfc tag generating module is specifically configured to, when performing initial cargo category screening on the warehousing cargo according to a preset warehousing request of the warehousing cargo and the nfc tag, obtain a warehousing cargo range:
determining a preset stock goods nfc label corresponding to the stock goods according to the nfc label;
extracting a cargo category area of cargo storage, and detecting a cargo category label of the cargo category area;
performing category screening on the warehousing goods nfc label according to the goods category label to obtain a warehousing goods category area corresponding to the warehousing goods;
and determining the range of the warehouse-in goods according to the warehouse-in goods category area.
Optionally, when calculating the warehouse-in position signal distance of the warehouse-in goods in the warehouse-in goods range through a preset signal intensity loss algorithm, the goods warehouse-in information generation module is specifically configured to:
determining the signal receiving intensity of a warehouse-in empty area in the warehouse-in cargo range through a preset tag reader;
extracting the signal transmission intensity of a preset tag reader to the warehouse-in empty area;
Calculating the warehouse-in position signal distance of the warehouse-in goods according to the signal receiving intensity and the signal transmitting intensity through a preset signal intensity loss algorithm:
P1=P2+20log10 D-20log10 f+20log10 c-G
Wherein, P 1 is the signal receiving intensity, P 2 is the signal transmitting intensity, D is the signal distance of the warehouse-in position, f is the signal frequency, c is the light speed, G is the gain compensation factor, and log is the logarithmic function.
Optionally, the cargo warehousing information generating module is specifically configured to, when locating the actual warehousing location of the warehoused cargo according to the warehousing location signal distance:
acquiring a signal receiving position of a tag reader in the range of the warehouse-in goods;
Generating a position matrix and a signal position distance correlation matrix according to the signal receiving position and the signal distance of the warehouse-in position;
Calculating the actual warehousing position of the warehoused goods according to the position matrix and the signal position distance correlation matrix, wherein the actual warehousing position calculation formula is as follows:
X=(ATA)-1ATb+e
wherein X is the actual warehouse-in position, A is the position matrix, T is the transposed symbol, b is the signal position distance correlation matrix, and e is the position error matrix.
Optionally, the cargo delivery information generating module is specifically configured to, when positioning an actual delivery position of the delivery cargo by using a preset tag collision algorithm and the delivery cargo priority:
Calculating the number of collision labels of the delivered goods according to a preset collision time slot ratio and a preset signal frame length by using a preset label collision algorithm as follows:
Wherein C is the collision time slot ratio, L is the signal frame length, Q is the number of collision tags, and gamma is a tag number optimization factor;
Comparing the nfc label corresponding to the shipment with a preset instruction of the nfc label in the shipment range one by one to obtain a shipment collision position of the shipment;
determining target shipment according to the number of collision labels and the shipment priority;
And positioning the actual delivery position of the target delivery goods according to the delivery collision position.
Optionally, the real-time warehouse status determining module is specifically configured to, when performing inventory of the goods according to the nfc tag, the warehouse-in information and the warehouse-out information to obtain inventory information of the goods:
Correlating the warehouse-in goods in the warehouse-in information with the nfc label to obtain correlated warehouse-in goods information, and determining the warehouse-in quantity of the goods according to the correlated warehouse-in information;
Correlating the shipment in the shipment information with the nfc label to obtain correlated shipment information, and determining the shipment quantity of the shipment according to the correlated shipment information;
And carrying out cargo inventory checking according to the cargo warehouse-in quantity and the cargo warehouse-out quantity to obtain cargo inventory checking information.
In order to solve the above problems, the present invention further provides a cargo storage method based on nfc tag identification, the method comprising:
Extracting key cargo characteristics of preset target cargoes, generating an nfc label of the target cargoes according to the key cargo characteristics, and screening initial cargo categories of the warehouse-in cargoes according to a preset warehouse-in request of the warehouse-in cargoes and the nfc label to obtain a warehouse-in cargo range;
Calculating the warehouse-in position signal distance of the warehouse-in goods in the warehouse-in goods range through a preset signal intensity loss algorithm, positioning the actual warehouse-in position of the warehouse-in goods according to the warehouse-in position signal distance, and updating the warehouse-in information of the goods warehouse in real time according to the actual warehouse-in position;
The method comprises the steps of carrying out initial cargo category screening on the delivered cargoes through a preset delivered request and the nfc label to obtain a delivered cargo range, and calculating the delivery priority of the delivered cargoes in the delivered cargo range by using a preset delivery priority algorithm;
Positioning the actual delivery position of the delivery goods by using a preset label collision algorithm and the delivery goods priority, and updating delivery information of goods storage in real time according to the actual delivery position;
and carrying out cargo inventory checking according to the nfc label, the warehousing information and the ex-warehouse information to obtain cargo inventory checking information, and determining the real-time warehousing state of cargo warehousing according to the cargo inventory checking information.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
At least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the operation method of the cargo warehousing system based on the nfc label identification.
In order to solve the above-mentioned problems, the present invention further provides a computer readable storage medium, in which at least one computer program is stored, the at least one computer program being executed by a processor in an electronic device to implement the above-mentioned method for operating a cargo warehousing system based on nfc label identification.
According to the embodiment of the invention, the NFC label is generated by extracting the key characteristics of the target goods, so that the goods can be rapidly identified and tracked, and the precision and efficiency of goods management are improved; by carrying out initial cargo category screening on the warehoused cargo, the cargo category can be rapidly determined, wrong warehouse-in or confusing cargo category is avoided, and cargo safety and correct management are ensured; the position signal distance of the warehouse-in goods is calculated through a signal intensity loss algorithm, so that the actual warehouse-in position of the goods can be positioned, the inventory condition can be better mastered, and the warehouse operation efficiency is improved; the delivery priority of the delivered goods can be calculated through a delivery priority algorithm, so that the delivery of the goods with high priority can be ensured to be delivered in time, the requirements of customers are met, and the satisfaction of the customers is improved; the actual position of the goods in the warehouse can be accurately positioned through the label collision algorithm, the problems of losing or misplacing the goods and the like are avoided, and the safety of the goods is ensured; and (3) inventory checking of goods is carried out according to the NFC label, the warehouse-in information and the warehouse-out information, so that warehouse inventory conditions and dynamic change trends can be known, warehouse management personnel are helped to optimize warehouse management flow, and warehouse operation efficiency is improved. Therefore, the goods warehousing system, the method, the equipment and the medium based on the nfc label identification can solve the problem of lower efficiency in goods warehousing.
Drawings
FIG. 1 is a functional block diagram of a cargo warehousing system based on nfc tag identification according to an embodiment of the present invention;
Fig. 2 is a flowchart illustrating an operation method of a cargo warehousing system based on nfc label identification according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device for implementing the operation method of the cargo warehousing system based on nfc label identification according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
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.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, the "plurality" generally includes at least two.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
In addition, the sequence of steps in the method embodiments described below is only an example and is not strictly limited.
In practice, the server device deployed by the cargo storage system based on nfc tag identification may be made up of one or more devices. The goods warehousing system based on nfc label identification can be realized as follows: service instance, virtual machine, hardware device. For example, the inventory system based on nfc tag identification may be implemented as a business instance deployed on one or more devices in a cloud node. In short, the cargo warehousing system based on the nfc tag identification can be understood as a software deployed on the cloud node, and is used for providing the cargo warehousing system based on the nfc tag identification for each user terminal. Or the goods warehousing system based on the nfc label identification can also be implemented as a virtual machine deployed on one or more devices in the cloud node. The virtual machine is provided with application software for managing each user side. Or the goods warehousing system based on the nfc label identification can be realized as a service end formed by a plurality of hardware devices of the same or different types, and one or more hardware devices are arranged for providing the goods warehousing system based on the nfc label identification for each user end.
In the implementation form, the cargo storage system based on the nfc label identification and the user side are mutually adapted. Namely, the goods storage system based on nfc label identification is used as an application installed on the cloud service platform, and the user side is used as a client side for establishing communication connection with the application; or realizing the goods warehousing system based on the nfc label identification as a website, and realizing the goods warehousing system as a webpage by a user side; and then, or the goods warehousing system based on the nfc label identification is realized as a cloud service platform, and the user side is realized as an applet in the instant messaging application.
Referring to fig. 1, a functional block diagram of a cargo warehousing system based on nfc tag identification according to an embodiment of the present invention is shown.
The cargo warehousing system 100 based on nfc tag identification of the present invention may be disposed in a cloud server, and in implementation form, may be used as one or more service devices, may also be used as an application installed on the cloud (e.g., a server of a mobile service operator, a server cluster, etc.), or may also be developed as a website. According to the implemented functions, the cargo warehousing system 100 based on nfc label identification may include an nfc label generating module 101, a cargo warehousing information generating module 102, a cargo ex-warehouse priority calculating module 103, a cargo ex-warehouse information generating module 104, and a real-time warehouse status determining module 105. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the device, capable of being executed by the processor of the device and of performing a fixed function.
In the embodiment of the invention, in the cargo warehousing system based on the nfc label identification, each module can be independently realized and called with other modules. A call herein is understood to mean that a module may connect to a plurality of modules of another type and provide corresponding services to the plurality of modules to which it is connected. For example, the cargo warehousing information generation module may call the nfc label generation module to obtain the information collected by the nfc label generation module based on the characteristics, and in the cargo warehousing system based on nfc label identification provided by the embodiment of the invention, the application range of the cargo warehousing system architecture based on nfc label identification can be adjusted by adding a module and directly calling the module without modifying a program code, so that the purpose of expanding the cargo warehousing system based on nfc label identification quickly and flexibly is achieved. In practical applications, the modules may be disposed in the same device or different devices, or may be service instances disposed in virtual devices, for example, in a cloud server.
The following description is made with reference to specific embodiments, respectively, regarding each component part of the cargo warehousing system identified based on the nfc label and specific workflow:
the nfc tag generation module 101 is configured to extract key cargo features of a preset target cargo, generate an nfc tag of the target cargo according to the key cargo features, and perform initial cargo category screening on the warehouse-in cargo according to a preset warehouse-in request of the warehouse-in cargo and the nfc tag, so as to obtain a warehouse-in cargo range.
In the embodiment of the invention, the key cargo features refer to feature types of target cargos, such as a cargo name, a cargo number, a cargo category, a cargo specification, a cargo state, a cargo number, a cargo position and a cargo value, wherein the key cargo features of the target cargos can be identified through an image identification technology, or preset key cargo features of the target cargos can be extracted from a pre-stored storage area through a computer sentence (such as a Java sentence, a Python sentence and the like) with a data grabbing function, and the storage area comprises, but is not limited to, a database and a blockchain.
Further, in order to conveniently identify and track cargoes, NFC labels are required to be configured for each cargoes, and when the cargoes pass through the equipment for reading the NFC labels, characteristic information of the cargoes can be rapidly obtained, so that management and tracking are convenient.
In the embodiment of the present invention, the NFC tag is a Radio Frequency Identification (RFID) tag using a near field communication technology, and may communicate and interact with devices supporting NFC (such as a smart phone, a tablet computer, a card reader, etc.), where the NFC tag is generally composed of a chip, an antenna, and a packaging material, and may be adhered to the surface of an object or embedded in the object.
In the embodiment of the present invention, when the nfc tag generating module 101 generates the nfc tag of the target cargo according to the key cargo feature, the nfc tag generating module is specifically configured to:
generating a tag data structure of the target cargo according to the key cargo features;
performing feature coding on the key cargo features to obtain key cargo feature codes;
And generating an nfc label of the target goods according to the label data structure and the key goods characteristic code.
In detail, the tag data structure refers to the type and field of the stored information, which may be a unique identifier, a key feature, a production date, vendor information, etc. of the goods, if the tag data structure is generated according to the goods name, the goods number, the production date, the validity period, the weight and the size of the key goods feature, the key goods feature is defined as different data fields of the tag, namely the goods name: [ field 1], goods number: [ field 2], date of manufacture: [ field 3], expiration date: [ field 4], weight: [ field 5], size: field 6, etc., thereby generating a tag data structure for the target good.
Specifically, the key cargo features need to be encoded for storage and transmission in the NFC tag, each key cargo feature may be encoded by an encoding format (such as UTF-8 encoding or binary format) to generate a key cargo feature encoding, for example, the cargo name is "ABC commodity", the cargo number is "12345", the production date is "2023-01-01", the validity period is "365 days", the weight is "1.5kg", and the size is "20cm x 10cm x 5cm", and then binary encoding is performed on each feature to obtain a binary encoding corresponding to each key cargo feature, that is, the cargo name encoding: [ field 1 after encoding ], goods number encoding: [ field 2 after encoding ], date of manufacture code: [ encoded field 3], validity period encoding: [ encoded field 4], weight encoding: [ field 5 after encoding ], size encoding: the coded field 6 is used for further filling the coded characteristic data into the corresponding field according to the tag data structure and the key cargo characteristic code, generating an NFC tag of the target cargo, writing the generated tag data into an NFC tag chip, ensuring that the tag data is matched with the generated tag data structure, carrying out proper verification and authentication on the generated NFC tag, and carrying out test and authentication on the NFC tag, wherein the reading function of the NFC reading device is used for verifying that the tag correctly analyzes and acquires the stored cargo characteristic information.
Further, based on the NFC label corresponding to each target cargo, the target cargo can be subjected to warehousing or ex-warehouse operation, different types of warehoused cargoes can be rapidly identified and distinguished through NFC label scanning and cargo classification screening, the time and cost for manual identification and classification are reduced, the warehousing efficiency is improved, the error rate is reduced, and the follow-up warehouse storage, allocation and ex-warehouse operation are facilitated.
In the embodiment of the invention, the range of the warehouse-in goods refers to a specific area where the warehouse-in goods are stored in a warehouse, usually a specific goods shelf, a storage cabinet or a specific area in the warehouse, and in the range, all the warehouse-in goods should be correctly classified, marked and stored so as to ensure the high efficiency and the accuracy of warehouse management; for different types of cargoes, the range of the cargoes in storage may be different, so before storage, classification and screening are needed according to the attribute of the cargoes, and the range of the corresponding cargoes in storage is determined.
In the embodiment of the present invention, when the nfc tag generation module 101 performs initial cargo category screening on the warehouse-in cargo according to a preset warehouse-in request of the warehouse-in cargo and the nfc tag, the method is specifically used for:
determining a preset stock goods nfc label corresponding to the stock goods according to the nfc label;
extracting a cargo category area of cargo storage, and detecting a cargo category label of the cargo category area;
performing category screening on the warehousing goods nfc label according to the goods category label to obtain a warehousing goods category area corresponding to the warehousing goods;
and determining the range of the warehouse-in goods according to the warehouse-in goods category area.
In detail, according to the nfc labels of all target goods in the goods warehouse, the nfc labels of the warehouse-in goods corresponding to the warehouse-in request can be determined, each warehouse-in goods has an independent unique nfc label, each goods category has a corresponding warehouse area, the goods category area stored in each category goods in the goods warehouse can be determined based on the goods areas corresponding to different goods categories in the goods warehouse history data, and the goods category label corresponding to each goods category area is detected, and the goods category label is used for identifying the goods category to which the goods category area belongs, such as food, electronic products and the like.
Specifically, the stock-in goods nfc label is screened according to the goods category label, so that a goods category area corresponding to the stock-in goods can be obtained, and then the stock-in goods category area is used as a stock-in goods range, if the goods category label is food, and the goods category in the stock-in goods nfc label is food, the stock-in goods is marked in the stock-in area of which the goods category label is food, and the stock-in area corresponding to the food label is the stock-in goods range of the stock-in goods, so that a warehouse manager can be helped to quickly find the stock-in goods, and place the stock-in goods in a proper position, so that the goods can be managed and tracked better.
Further, for the warehouse-in goods only matched to the warehouse-in goods range, the warehouse-in position is not determined, and in order to accurately locate the warehouse-in position of the warehouse-in goods, the accurate warehouse-in position of each goods needs to be determined based on the signal of the nfc label of the goods, so that the warehouse-in efficiency of the goods is improved.
The cargo warehousing information generation module 102 is configured to calculate a warehousing position signal distance of the warehoused cargo within the range of the warehoused cargo through a preset signal strength loss algorithm, locate an actual warehousing position of the warehoused cargo according to the warehousing position signal distance, and update the warehousing information of cargo warehousing in real time according to the actual warehousing position.
In the embodiment of the invention, the warehouse-in position signal distance refers to a label signal receiver of an nfc label configured in a warehouse-in range, and the distance between the position of the warehouse-in goods and the label signal receiver is determined based on the label signal receiver.
In the embodiment of the present invention, when the cargo warehousing information generating module 102 calculates the warehousing location signal distance of the warehoused cargo within the range of the warehoused cargo through a preset signal intensity loss algorithm, the method is specifically used for:
determining the signal receiving intensity of a warehouse-in empty area in the warehouse-in cargo range through a preset tag reader;
extracting the signal transmission intensity of a preset tag reader to the warehouse-in empty area;
Calculating the warehouse-in position signal distance of the warehouse-in goods according to the signal receiving intensity and the signal transmitting intensity through a preset signal intensity loss algorithm:
P1=P2+20log10 D-20log10 f+20log10 c-G
Wherein, P 1 is the signal receiving intensity, P 2 is the signal transmitting intensity, D is the signal distance of the warehouse-in position, f is the signal frequency, c is the light speed, G is the gain compensation factor, and log is the logarithmic function.
In detail, the signal receiving intensity refers to a signal sent by a warehouse-in area with a blank area in the warehouse-in cargo range, and reflects the sensitivity of the tag reader to the signal in the warehouse-in blank area. Stronger received signals generally means that the tag reader is closer to the signal source or that the propagation conditions of the signal are better; a tag reader is generally a device for receiving a wireless signal from a load, which may measure the strength of the signal, and which receives the signal from an empty area of the load in storage, typically by RFID technology or other wireless communication technology, and which may measure the strength of the received signal and represent it as a value which may reflect the relative strength of the signal, typically in dBm (decibel milliwatts), a higher value representing the strength of the received signal and a lower value representing the strength of the received signal, thereby determining the signal transmission strength of the empty area of the load in storage; in addition, the signal transmission intensity is the intensity of a signal transmitted by the tag reader, and is used for communicating with the tag in the range of the warehouse-in goods, and in the warehouse-in empty region, the tag receiver transmits a test signal, and the power of the test signal transmitted by the tag receiver, namely, the power is the signal transmission intensity, can be measured through a built-in power measurement function or external measurement equipment.
Specifically, the signal strength loss algorithm can calculate the signal distance of the warehouse-in position between the tag reader and the warehouse-in empty area at different positions, wherein the gain compensation factor G is a parameter for considering the gain of the receiving or transmitting device, in the actual situation, the gain (or loss) of the hardware device of the tag reader may affect the strength of the signal, in order to calculate the signal receiving strength more accurately, the gain compensation factor is introduced, and the gain compensation factor is usually a constant, and can be adjusted according to the characteristics of the hardware device, so as to reflect the actual situation more accurately.
Further, through the calculated signal transmission distance, accurate estimation of the actual position of the warehouse-in goods can be obtained, the goods can be accurately placed at the designated position, misplacement or confusion is avoided, an automatic warehouse-in process can be realized by utilizing a warehouse-in position signal distance positioning technology, behaviors can be automatically adjusted according to the change of the signal distance, and a high-efficiency warehouse-in process is realized.
In the embodiment of the invention, the actual warehousing position refers to a specific area where the warehoused goods are in the range of the warehoused goods, if the range of the warehoused goods is an area A, the area A is provided with an A1 empty area, an A2 empty area and an A3 empty area, the A1 empty area, the A2 empty area and the distance between the A3 empty area and the tag reader are calculated respectively, the area with the shortest distance is selected as the actual warehousing position of the warehoused goods, and if the distance between the A1 empty area and the tag reader is the shortest, the A1 empty area is selected as the actual warehousing position of the warehoused goods.
In the embodiment of the present invention, when the cargo warehousing information generating module 102 locates the actual warehousing location of the warehoused cargo according to the warehousing location signal distance, the method is specifically used for:
acquiring a signal receiving position of a tag reader in the range of the warehouse-in goods;
Generating a position matrix and a signal position distance correlation matrix according to the signal receiving position and the signal distance of the warehouse-in position;
Calculating the actual warehousing position of the warehoused goods according to the position matrix and the signal position distance correlation matrix, wherein the actual warehousing position calculation formula is as follows:
X=(ATA)-1ATb+e
wherein X is the actual warehouse-in position, A is the position matrix, T is the transposed symbol, b is the signal position distance correlation matrix, and e is the position error matrix.
In detail, the layout of the tag readers can be determined in the warehouse-in cargo range, if three tag readers are configured in the warehouse-in cargo range A area, and nfc tags of different types are configured in each cargo area of the warehouse-in cargo range A area, the signal receiving position of each tag reader can be obtained based on the layout of the tag readers, simultaneous equations are carried out on the signal receiving positions of different tag readers and the warehouse-in position signal distance, and a position matrix and a signal position distance key matrix can be obtained.
Specifically, when there are three tag readers, the signal receiving position of each tag reader is (x 1, y 1), (x 2, y 2), (x 3, y 3), the coordinates of the warehouse-in empty area corresponding to the warehouse-in goods are set to be (x 0,y0), and the warehouse-in position signal distances between the three tag readers and the warehouse-in empty area are d 1,d2,d3 respectively, the first equation set can be obtainedSubtracting the last equation from each equation in the first equation set to obtain a second equation set, wherein the second equation set isLet the second equation set be atx=b, then/> X= [ X 0y0 ], i.e. x= (a TA)-1AT b, where a is the position matrix, b is the signal position distance correlation matrix, the position error matrix e is composed of e x and e y, then/>E= [ e x ey ], so that the actual warehousing position of the warehoused goods can be obtained.
Further, when the warehouse-in goods are positioned to the actual warehouse-in position, the warehouse-in information of the goods warehouse can be updated in real time so as to ensure the accuracy and timeliness of inventory management, the actual warehouse-in position is associated with the warehouse-in information of the corresponding goods, the actual warehouse-in position information is associated with the identification, quantity, attribute and other information of the goods, once the actual warehouse-in position is determined and associated with the goods information, the warehouse-in information of the goods can be updated in real time, the warehouse-in information reflects the actual situation and can be used for subsequent inventory management, logistics operation, inquiry and the like, the actual position of each goods can be accurately known, the efficiency and the accuracy of inventory management are improved, the situation that the goods are misplaced can be avoided, the goods can be quickly searched, the inventory can be timely supplemented, and the like, and warehouse operation and logistics business are optimized, wherein the warehouse-in information comprises the position, quantity, warehouse-in time, the name, the specification, the model, the batch number and the warehouse-in single number of the goods.
Furthermore, not only the high-efficiency management of the warehouse-in goods is needed, but also the high-efficiency management of the warehouse-out goods is needed, and the high-efficiency operation in the goods warehouse-in process is ensured.
The cargo delivery priority calculating module 103 is configured to perform initial cargo category screening on the delivered cargo through a preset delivery request of the delivered cargo and the nfc tag, obtain a delivery cargo range, and calculate a delivery priority of the delivered cargo within the delivery cargo range by using a preset delivery priority algorithm.
In the embodiment of the invention, the goods delivery range refers to a goods delivery area in a goods storage area corresponding to an nfc label of the goods delivered, and goods needing to be delivered are selected from the delivery area.
In detail, when the initial cargo category screening is carried out on the delivered cargoes through a preset delivered request and the nfc label to obtain a delivered cargo range, the delivered cargo nfc label corresponding to the preset delivered cargo can be determined according to the nfc label; extracting a cargo category area of cargo storage, and detecting a cargo category label of the cargo category area; carrying out category screening on the shipment nfc label according to the shipment category label to obtain a shipment category area corresponding to the shipment; and determining the range of the delivered goods according to the classified area of the delivered goods.
Specifically, the step of obtaining the range of the shipment is consistent with the step of obtaining the range of the shipment in S1 by performing the initial shipment screening on the shipment through the preset shipment request and the nfc tag, and the step of obtaining the range of the shipment is not repeated here.
Further, there may be goods that need to be delivered at the same time in the delivery range, so priority analysis needs to be performed on the delivered goods to reduce delivery time and delivery error rate, so that orders with higher priority can be processed more quickly, emergency demands of customers can be met in time, and customer satisfaction is improved.
In the embodiment of the invention, the delivery priority refers to that when a plurality of cargoes need to be delivered simultaneously, all cargoes are delivered sequentially according to the order of priority.
In the embodiment of the present invention, when the cargo delivery priority calculating module 103 calculates the delivery priority of the delivery cargo within the delivery cargo range by using a preset delivery priority algorithm, the cargo delivery priority calculating module is specifically configured to:
extracting the value standard and the time standard of the delivered goods in the delivered goods range;
Calculating the delivery priority value of the delivery goods in the delivery goods range according to the value standard and the time standard by using the following preset delivery priority algorithm:
Wherein δ k is the delivery priority value of the kth cargo category, a km is the weight coefficient of the mth value standard in the kth cargo category, x km is the value score of the mth value standard in the kth cargo category, c kn is the weight coefficient of the nth time standard in the kth cargo category, y kn is the time score of the nth time standard in the kth cargo category, M is the standard attribute number of the value standard, and N is the standard attribute number of the time standard;
and determining the delivery priority of the delivery goods according to the delivery priority value.
In detail, the value and timeliness of each shipment are evaluated in the range of the shipment, and the value coefficient of each shipment is determined according to the value standard of sales value, market demand degree and emergency degree of the shipment, and can be obtained by a linear functionCalculating a value coefficient, wherein a m is a weight coefficient of an mth value standard, x m is a value score of the mth value standard, M is a standard attribute number of the value standard, for example, when the sales value is greater than or equal to a preset sales price, the sales value is given to 1, and when the sales value is less than the preset sales price, the sales value can be given to 0.5; for the market demand level, a linear function g (h) =wh+b of the market demand can be constructed according to the cargo demand, where g (x) is a value score of the market demand level, w is a linear parameter, h is the number of delivered cargo, and b is an intercept, and then the value score of the market demand level is determined based on the number of delivered cargo at the moment, so that the value coefficient of the value standard of the delivered cargo can be calculated.
Specifically, the time standard is a standard for measuring the time sensitivity of the goods, and can be an expiration date, a stock period, order urgency and the like of the goods, so as to evaluate the delivered goods and assign corresponding time coefficients, and the goods can also be processed through a linear functionCalculating a value coefficient, wherein c n is a weight coefficient of an nth time standard, y n is a time fraction of the nth time standard, N is a standard attribute number of the time standard, and if the time difference between the deadline delivery date and the current date of the goods is less than or equal to a preset threshold value, the time coefficient is given to 1; otherwise, gradually reducing the time coefficient according to the size of the time difference; if the stock period of the goods is smaller than or equal to a preset threshold value, the time coefficient is given to 1; otherwise, gradually reducing the time coefficient according to the size of the stock period; the method comprises the steps of evaluating and assigning corresponding time coefficients according to the urgency level index of an order, mapping the urgency level index to the time coefficients, if the urgency level is higher, assigning the time coefficients to 1, and when the urgency time is lower, gradually reducing the time coefficients, so that the time coefficients of the time standard of the delivered goods can be calculated, wherein the weight coefficients of the value standard and the weight coefficients of the time standard can be assigned with different weight values through subjective judgment.
Further, in the delivery priority algorithm, when k=1, it indicates that delivery of only one delivery category is needed, and at this time, delivery of delivery is not compared with delivery of other delivery, the delivery priority of delivery is configured as 1, and delivery of delivery is only needed, and when k >1, it indicates that delivery of delivery categories is not only one, the order of delivery of the goods is determined according to the priorities among the goods categories, and the larger the value coefficient is compared with the time coefficient, the larger the priority of the goods is, so that the goods with higher priority can be delivered first, the situation that the goods with lower priority are misplaced or missed is avoided, and the delivery accuracy is improved.
Further, only the priorities are configured for different types of cargos in the process of delivering the cargos, and when delivering the cargos of the same type, information conflict and noise label collision phenomenon among the cargos of different delivery can occur, so that the label collision phenomenon is analyzed to ensure that the positions of the delivered cargos can be accurately determined, the condition of delivering the wrong cargos is avoided, the error rate is reduced, and the delivery accuracy is improved.
The cargo shipment information generating module 104 is configured to locate an actual shipment position of the shipment cargo by using a preset tag collision algorithm and the shipment cargo priority, and update shipment information of cargo warehouse in real time according to the actual shipment position.
In one practical application scene of the invention, when a tag reader sends a tag reading instruction, an electronic nfc tag in the range of the tag reader is awakened, and immediately sends own information to the tag reader, in one reading period, the electronic nfc tag randomly selects a time point to communicate with the tag reader, but in the communication process, other tags also randomly select time points to communicate, and when a certain time period exists, a plurality of tags simultaneously communicate with the tag reader, information conflict can occur, so that the tag collision phenomenon is caused.
In the embodiment of the invention, the actual delivery position refers to the delivery position of the specific goods to be delivered in the same goods category, so that the goods are delivered according to the delivery position.
In the embodiment of the present invention, when the cargo shipment information generating module 104 locates the actual shipment position of the shipment cargo by using a preset tag collision algorithm and the shipment cargo priority, the cargo shipment information generating module is specifically configured to:
Calculating the number of collision labels of the delivered goods according to a preset collision time slot ratio and a preset signal frame length by using a preset label collision algorithm as follows:
Wherein C is the collision time slot ratio, L is the signal frame length, Q is the number of collision tags, and gamma is a tag number optimization factor;
Comparing the nfc label corresponding to the shipment with a preset instruction of the nfc label in the shipment range one by one to obtain a shipment collision position of the shipment;
determining target shipment according to the number of collision labels and the shipment priority;
And positioning the actual delivery position of the target delivery goods according to the delivery collision position.
In detail, the number of collision labels corresponding to the warehouse goods can be determined within the preset time response frame length through a label collision algorithm, the collision time slot ratio is the ratio of the current time signal frame length to the previous time signal frame length, and then the number of labels colliding in the current time signal frame length is determined, wherein the label number optimization factor gamma can optimize the collision labels when delay occurs in the time signal frame length, and therefore the identification accuracy of the labels is improved.
Specifically, all the outgoing cargoes in the outgoing cargoes range are provided with nfc labels, the nfc labels of the outgoing cargoes are compared with the nfc label instructions on the goods shelves one by one, matched outgoing cargoes are found, the outgoing collision position of the outgoing cargoes is determined according to the outgoing cargoes, the binary coded data coded according to the nfc table labels are compared with the binary codes in the nfc labels in the outgoing cargoes range one by one, if the nfc labels of the outgoing cargoes are required to be A, B, C, the labels corresponding to the nfc label instructions in the outgoing cargoes range are A, B, C, D, E, the matched labels are A, B, C, the label comparison position is A, B, C label corresponding position serial number, and then the label comparison position is taken as the outgoing collision position of the outgoing cargoes, and the outgoing collision position is the cargo storage position coordinate responded by the labels at the same moment.
Further, when the number of the collision labels is only one, the number of the collision labels indicates that the collision positions of the delivery are also only one, and the target delivery goods can be determined, so that the actual delivery position of the target delivery goods is determined according to the delivery collision positions of the target delivery goods; when the number of the collision labels is larger than one, the collision positions of the delivery are represented to be more than one, the delivery sequence of the delivery is determined according to time response time in the delivery types, the delivery sequence with fast response time is more forward, the delivery sequence of each delivery can be determined, and the delivery collision position corresponding to each delivery is further taken as the actual delivery position of the delivery.
For example, when the number of collision labels is two, the corresponding shipment of the collision labels is a and B, the shipment collision positions corresponding to the shipment a and B are X A,XB, and when the shipment a and B are not of the same shipment category, when the priority of the shipment a is greater than that of the shipment B, the shipment a is taken as the target shipment, and the shipment collision position X A is taken as the actual shipment position at the moment; if the shipment a, B is of the same shipment category, when the response time of the shipment a is earlier than the response time of the shipment B, the shipment a is taken as the target shipment, and the shipment collision position X A is taken as the actual shipment position at that time.
In the embodiment of the invention, once the actual delivery position of the goods is monitored, the information is immediately fed back to the warehouse management system, the delivery state of the goods can be set to be delivered according to the unique identifier (such as RFID tag) of the goods, and after confirming that the goods are delivered, the system should update the inventory information in the warehouse management system. By removing or marking the shipment from the inventory list of the warehouse as shipment, it is ensured that the inventory information is consistent with the actual situation, wherein the shipment information includes shipment quantity, shipment category, shipment specification, model, lot number, shipment order number, etc.
Further, real-time inventory information of the goods warehouse can be checked according to the warehouse-in information and the warehouse-out information, the current inventory state of each goods can be accurately determined, the instantaneity and the accuracy of the inventory information are maintained, and quick inquiry can be carried out no matter whether warehouse-in records of specific goods are searched or warehouse-out histories of the specific goods are tracked.
The real-time storage state determining module 105 is configured to perform inventory checking of the goods according to the nfc tag, the warehouse-in information and the warehouse-out information, obtain inventory checking information, and determine a real-time storage state of the goods storage according to the inventory checking information.
In the embodiment of the invention, the goods checking information refers to the stock state and checking result of goods obtained after stock checking, such as the names or numbers of the goods, the number of warehouse-in, the number of warehouse-out, the current stock number, abnormal condition records and checking date and time.
In the embodiment of the present invention, the real-time warehouse status determining module 105 is specifically configured to, when performing inventory of goods according to the nfc tag, the warehouse-in information, and the warehouse-out information to obtain inventory information of goods:
Correlating the warehouse-in goods in the warehouse-in information with the nfc label to obtain correlated warehouse-in goods information, and determining the warehouse-in quantity of the goods according to the correlated warehouse-in information;
Correlating the shipment in the shipment information with the nfc label to obtain correlated shipment information, and determining the shipment quantity of the shipment according to the correlated shipment information;
And carrying out cargo inventory checking according to the cargo warehouse-in quantity and the cargo warehouse-out quantity to obtain cargo inventory checking information.
In detail, when each goods is put in storage, associating the put goods with the ID of the nfc tag, and then each goods has a unique nfc tag identifier associated with the nfc tag identifier; when inventory checking is carried out, the quantity of each goods in storage can be accurately determined by scanning the nfc label and comparing the nfc label with the real-time generated storage information, and the current total storage quantity can be determined by accumulating the quantity of all goods in storage; when each cargo is delivered, associating the delivered cargo with the ID of the NFC tag, wherein each cargo has a unique NFC tag identifier associated with the cargo; when inventory checking is carried out, the quantity of each goods to be checked out can be accurately determined by scanning the nfc label and comparing the nfc label with the real-time generated information to be checked out, and the current total quantity to be checked out can be determined by accumulating the quantity of all goods to be checked out; the current inventory quantity can be obtained by subtracting the current total inventory quantity from the current total inventory quantity, so that the inventory state of each cargo can be obtained, and whether abnormal conditions exist or not is judged through the information recorded in real time, such as missing trays, wrong trays and the like, so that cargo inventory information in cargo storage is obtained.
Further, by checking and updating the real-time storage state of the goods at regular intervals, the current stock quantity of each goods can be accurately known, errors and deviations of stock data can be avoided, stock accuracy can be improved, abnormal conditions such as missing discs, wrong discs and losing can be timely found, and safety and reliability of the goods can be improved.
In the embodiment of the invention, the real-time storage state refers to a goods storage state updated according to the latest operation information such as warehouse entry, warehouse exit, warehouse moving and the like in warehouse management, and comprises the information such as the current storage quantity of each goods, the position of the goods, the property of the goods and the like.
In the embodiment of the present invention, when the real-time storage status determining module 105 determines the real-time storage status of the goods storage according to the goods inventory information, the real-time storage status determining module is specifically configured to:
generating the number of storage categories of the goods storage according to the goods inventory information;
generating a warehouse Chu Juzhen for storing cargoes according to the number of the warehouse types;
and determining the real-time storage state of the goods storage through the storage matrix.
In detail, classifying all cargoes according to the characteristics, specifications, attributes and the like of the cargoes, and counting the quantity of the cargoes in each category, wherein the category and the quantity are the quantity of storage categories of the cargo storage; according to the number of the storage categories, the ex-warehouse number, the warehouse-in number and the warehouse-out number corresponding to each storage category in the goods warehouse can be generated, so that a storage matrix is generated, wherein the row attribute of the storage matrix is the storage category, and the column attribute is the ex-warehouse number, the warehouse-in number and the warehouse-out number; and further, the real-time storage state of the goods storage is determined according to the change of the quantity of the goods in the storage matrix, and the operations of storage, delivery, moving and the like of the goods can be updated by scanning the goods labels or manually inputting related information, so that the corresponding numerical value in the storage matrix is updated, and after each update, the current quantity of the goods in each storage and the quantity of the goods in each category in each area can be calculated, thereby determining the real-time storage state of the goods storage.
Further, the warehouse matrix and the real-time warehouse status are presented in a data visualization mode and the like, so that warehouse management staff can intuitively know the warehouse condition and the dynamic change trend of the goods, and further guide more scientific and accurate goods warehouse management.
According to the embodiment of the invention, the NFC label is generated by extracting the key characteristics of the target goods, so that the goods can be rapidly identified and tracked, and the precision and efficiency of goods management are improved; by carrying out initial cargo category screening on the warehoused cargo, the cargo category can be rapidly determined, wrong warehouse-in or confusing cargo category is avoided, and cargo safety and correct management are ensured; the position signal distance of the warehouse-in goods is calculated through a signal intensity loss algorithm, so that the actual warehouse-in position of the goods can be positioned, the inventory condition can be better mastered, and the warehouse operation efficiency is improved; the delivery priority of the delivered goods can be calculated through a delivery priority algorithm, so that the delivery of the goods with high priority can be ensured to be delivered in time, the requirements of customers are met, and the satisfaction of the customers is improved; the actual position of the goods in the warehouse can be accurately positioned through the label collision algorithm, the problems of losing or misplacing the goods and the like are avoided, and the safety of the goods is ensured; and (3) inventory checking of goods is carried out according to the NFC label, the warehouse-in information and the warehouse-out information, so that warehouse inventory conditions and dynamic change trends can be known, warehouse management personnel are helped to optimize warehouse management flow, and warehouse operation efficiency is improved. Therefore, the goods warehousing system, the method, the equipment and the medium based on the nfc label identification can solve the problem of lower efficiency in goods warehousing.
Referring to fig. 2, a flow chart of an operation method of a cargo warehousing system based on nfc tag identification according to an embodiment of the invention is shown. In this embodiment, the operation method of the cargo warehousing system based on nfc label identification includes:
S1, extracting key cargo characteristics of preset target cargoes, generating an nfc label of the target cargoes according to the key cargo characteristics, and carrying out initial cargo category screening on the warehouse-in cargoes according to a preset warehouse-in request of the warehouse-in cargoes and the nfc label to obtain a warehouse-in cargo range;
S2, calculating a warehouse-in position signal distance of the warehouse-in goods in the warehouse-in goods range through a preset signal intensity loss algorithm, positioning an actual warehouse-in position of the warehouse-in goods according to the warehouse-in position signal distance, and updating warehouse-in information of the warehouse-in goods in real time according to the actual warehouse-in position;
S3, carrying out initial cargo category screening on the delivered cargoes through a preset delivered request and the nfc label to obtain a delivered cargo range, and calculating the delivery priority of the delivered cargoes in the delivered cargo range by using a preset delivery priority algorithm;
s4, positioning the actual delivery position of the delivery goods by using a preset label collision algorithm and the delivery goods priority, and updating delivery information of goods storage in real time according to the actual delivery position;
And S5, carrying out cargo inventory checking according to the nfc label, the warehouse-in information and the warehouse-out information to obtain cargo inventory checking information, and determining the real-time warehouse state of cargo warehouse according to the cargo inventory checking information.
Fig. 3 is a schematic structural diagram of an electronic device for implementing an operation method of a cargo warehousing system based on nfc tag identification according to an embodiment of the present invention.
The electronic device may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as a cargo warehousing system program identified based on nfc tags.
The processor 10 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the apparatus, connects the respective components of the entire apparatus using various interfaces and lines, and executes various functions of the apparatus and processes data by running or executing programs or modules stored in the memory 11 (for example, executing a cargo storing method program based on nfc tag identification, etc.), and calling data stored in the memory 11.
The memory 11 includes at least one type of computer-readable storage medium including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the device, such as a removable hard disk of the device. The memory 11 may also be an external storage device of the device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like. Further, the memory 11 may also include both an internal storage unit and an external storage device of the device. The memory 11 may be used not only for storing application software installed in the apparatus and various data, such as codes of a warehouse system program identified based on nfc tags, etc., but also for temporarily storing data that has been output or is to be output.
The communication bus 12 may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
The communication interface 13 is used for communication between the above-mentioned devices and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the device and other devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the device and for displaying a visual user interface.
Fig. 3 shows only a device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 is not limiting of the device and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the apparatus may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, etc. are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The device may also include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described in detail herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The cargo warehousing system program stored by the memory 11 in the apparatus and based on the nfc tag identification is a combination of instructions that, when executed in the processor 10, may implement:
Extracting key cargo characteristics of preset target cargoes, generating an nfc label of the target cargoes according to the key cargo characteristics, and screening initial cargo categories of the warehouse-in cargoes according to a preset warehouse-in request of the warehouse-in cargoes and the nfc label to obtain a warehouse-in cargo range;
Calculating the warehouse-in position signal distance of the warehouse-in goods in the warehouse-in goods range through a preset signal intensity loss algorithm, positioning the actual warehouse-in position of the warehouse-in goods according to the warehouse-in position signal distance, and updating the warehouse-in information of the goods warehouse in real time according to the actual warehouse-in position;
The method comprises the steps of carrying out initial cargo category screening on the delivered cargoes through a preset delivered request and the nfc label to obtain a delivered cargo range, and calculating the delivery priority of the delivered cargoes in the delivered cargo range by using a preset delivery priority algorithm;
Positioning the actual delivery position of the delivery goods by using a preset label collision algorithm and the delivery goods priority, and updating delivery information of goods storage in real time according to the actual delivery position;
and carrying out cargo inventory checking according to the nfc label, the warehousing information and the ex-warehouse information to obtain cargo inventory checking information, and determining the real-time warehousing state of cargo warehousing according to the cargo inventory checking information.
In particular, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of the drawings, which is not repeated herein.
Further, the device-integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer-readable storage medium. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, may implement:
Extracting key cargo characteristics of preset target cargoes, generating an nfc label of the target cargoes according to the key cargo characteristics, and screening initial cargo categories of the warehouse-in cargoes according to a preset warehouse-in request of the warehouse-in cargoes and the nfc label to obtain a warehouse-in cargo range;
Calculating the warehouse-in position signal distance of the warehouse-in goods in the warehouse-in goods range through a preset signal intensity loss algorithm, positioning the actual warehouse-in position of the warehouse-in goods according to the warehouse-in position signal distance, and updating the warehouse-in information of the goods warehouse in real time according to the actual warehouse-in position;
The method comprises the steps of carrying out initial cargo category screening on the delivered cargoes through a preset delivered request and the nfc label to obtain a delivered cargo range, and calculating the delivery priority of the delivered cargoes in the delivered cargo range by using a preset delivery priority algorithm;
Positioning the actual delivery position of the delivery goods by using a preset label collision algorithm and the delivery goods priority, and updating delivery information of goods storage in real time according to the actual delivery position;
and carrying out cargo inventory checking according to the nfc label, the warehousing information and the ex-warehouse information to obtain cargo inventory checking information, and determining the real-time warehousing state of cargo warehousing according to the cargo inventory checking information.
In the several embodiments provided by the present invention, it should be understood that the disclosed media, systems, and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the foregoing description, and all changes which come within the meaning and range of equivalency of the scope of the invention are therefore intended to be embraced therein.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. Multiple units or systems as set forth in the system claims may also be implemented by means of one unit or system in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, 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 and equivalents may 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. The goods warehouse-in and warehouse-out system based on the nfc label identification is characterized by comprising an nfc label generation module, a goods warehouse-in information generation module, a goods warehouse-out priority calculation module, a goods warehouse-out information generation module and a real-time warehouse-in state determination module, wherein,
The nfc label generation module is used for extracting key goods characteristics of preset target goods, generating an nfc label of the target goods according to the key goods characteristics, and carrying out initial goods category screening on the warehouse-in goods according to a preset warehouse-in request of the warehouse-in goods and the nfc label to obtain a warehouse-in goods range;
The goods warehousing information generation module is used for calculating the warehousing position signal distance of the warehoused goods in the range of the warehoused goods through a preset signal intensity loss algorithm, positioning the actual warehousing position of the warehoused goods according to the warehousing position signal distance, and updating the warehousing information of the goods warehousing in real time according to the actual warehousing position;
the goods delivery priority calculating module is used for carrying out initial goods category screening on the delivery goods through a preset delivery request of the delivery goods and the nfc label to obtain a delivery goods range, and calculating the delivery priority of the delivery goods in the delivery goods range by utilizing a preset delivery priority algorithm, wherein the goods delivery priority calculating module is specifically used for: extracting the value standard and the time standard of the delivered goods in the delivered goods range; calculating the delivery priority value of the delivery goods in the delivery goods range according to the value standard and the time standard by using the following preset delivery priority algorithm:
Wherein δ k is the delivery priority value of the kth cargo category, a km is the weight coefficient of the mth value standard in the kth cargo category, x km is the value score of the mth value standard in the kth cargo category, c kn is the weight coefficient of the nth time standard in the kth cargo category, y kn is the time score of the nth time standard in the kth cargo category, M is the standard attribute number of the value standard, and N is the standard attribute number of the time standard;
determining the delivery priority of the delivery goods according to the delivery priority value;
The goods delivery information generation module is used for positioning the actual delivery position of the delivery goods by using a preset label collision algorithm and the delivery goods priority, and updating delivery information of goods storage in real time according to the actual delivery position;
the real-time storage state determining module is used for carrying out goods inventory checking according to the nfc label, the warehouse-in information and the warehouse-out information to obtain goods inventory checking information, and determining the real-time storage state of goods storage according to the goods inventory checking information.
2. The stock storage system based on nfc label identification of claim 1, wherein the nfc label generation module is specifically configured to, when generating an nfc label of a target stock according to the key stock feature:
generating a tag data structure of the target cargo according to the key cargo features;
performing feature coding on the key cargo features to obtain key cargo feature codes;
And generating an nfc label of the target goods according to the label data structure and the key goods characteristic code.
3. The stock storage system based on nfc tag identification according to claim 1, wherein the nfc tag generation module is specifically configured to, when performing initial stock category screening on a stock according to a preset stock storage request and the nfc tag, obtain a stock storage range:
determining a preset stock goods nfc label corresponding to the stock goods according to the nfc label;
extracting a cargo category area of cargo storage, and detecting a cargo category label of the cargo category area;
performing category screening on the warehousing goods nfc label according to the goods category label to obtain a warehousing goods category area corresponding to the warehousing goods;
and determining the range of the warehouse-in goods according to the warehouse-in goods category area.
4. The stock storage system based on nfc tag identification according to claim 1, wherein the stock storage information generation module is specifically configured to, when calculating the stock storage position signal distance of the stock storage in the stock storage range by a preset signal strength loss algorithm:
determining the signal receiving intensity of a warehouse-in empty area in the warehouse-in cargo range through a preset tag reader;
extracting the signal transmission intensity of a preset tag reader to the warehouse-in empty area;
Calculating the warehouse-in position signal distance of the warehouse-in goods according to the signal receiving intensity and the signal transmitting intensity through a preset signal intensity loss algorithm:
P1=P2+20log10 D-20log10 f+20log10 c-G
Wherein, P 1 is the signal receiving intensity, P 2 is the signal transmitting intensity, D is the signal distance of the warehouse-in position, f is the signal frequency, c is the light speed, G is the gain compensation factor, and log is the logarithmic function.
5. The stock storage system based on nfc tag identification of claim 1, wherein the stock storage information generation module is configured to, when locating the actual stock storage position of the stock storage according to the stock storage position signal distance:
acquiring a signal receiving position of a tag reader in the range of the warehouse-in goods;
Generating a position matrix and a signal position distance correlation matrix according to the signal receiving position and the signal distance of the warehouse-in position;
Calculating the actual warehousing position of the warehoused goods according to the position matrix and the signal position distance correlation matrix, wherein the actual warehousing position calculation formula is as follows:
X=(ATA)-1ATb+e
wherein X is the actual warehouse-in position, A is the position matrix, T is the transposed symbol, b is the signal position distance correlation matrix, and e is the position error matrix.
6. The stock storage system based on nfc tag identification according to claim 1, wherein the stock delivery information generation module is specifically configured to, when positioning the actual delivery location of the delivery using a preset tag collision algorithm and the delivery priority:
Calculating the number of collision labels of the delivered goods according to a preset collision time slot ratio and a preset signal frame length by using a preset label collision algorithm as follows:
Wherein C is the collision time slot ratio, L is the signal frame length, Q is the number of collision tags, and gamma is a tag number optimization factor;
Comparing the nfc label corresponding to the shipment with a preset instruction of the nfc label in the shipment range one by one to obtain a shipment collision position of the shipment;
determining target shipment according to the number of collision labels and the shipment priority;
And positioning the actual delivery position of the target delivery goods according to the delivery collision position.
7. The stock storage system based on nfc tag identification of claim 1, wherein the real-time stock state determination module is specifically configured to, when performing stock inventory of the stock according to the nfc tag, the stock information, and the stock-out information, obtain stock inventory information:
Correlating the warehouse-in goods in the warehouse-in information with the nfc label to obtain correlated warehouse-in goods information, and determining the warehouse-in quantity of the goods according to the correlated warehouse-in information;
Correlating the shipment in the shipment information with the nfc label to obtain correlated shipment information, and determining the shipment quantity of the shipment according to the correlated shipment information;
And carrying out cargo inventory checking according to the cargo warehouse-in quantity and the cargo warehouse-out quantity to obtain cargo inventory checking information.
8. A method of operating a cargo warehousing system based on nfc tag identification, for performing the cargo warehousing system based on nfc tag identification of any one of claims 1-7, the method of operating comprising:
Extracting key cargo characteristics of preset target cargoes, generating an nfc label of the target cargoes according to the key cargo characteristics, and screening initial cargo categories of the warehouse-in cargoes according to a preset warehouse-in request of the warehouse-in cargoes and the nfc label to obtain a warehouse-in cargo range;
Calculating the warehouse-in position signal distance of the warehouse-in goods in the warehouse-in goods range through a preset signal intensity loss algorithm, positioning the actual warehouse-in position of the warehouse-in goods according to the warehouse-in position signal distance, and updating the warehouse-in information of the goods warehouse in real time according to the actual warehouse-in position;
The method comprises the steps of carrying out initial cargo category screening on the delivered cargo through a preset delivered cargo delivery request and the nfc tag to obtain a delivered cargo range, calculating the delivered priority of the delivered cargo in the delivered cargo range by using a preset delivered priority algorithm, and specifically, using the method to: extracting the value standard and the time standard of the delivered goods in the delivered goods range; calculating the delivery priority value of the delivery goods in the delivery goods range according to the value standard and the time standard by using the following preset delivery priority algorithm:
Wherein δ k is the delivery priority value of the kth cargo category, a km is the weight coefficient of the mth value standard in the kth cargo category, x km is the value score of the mth value standard in the kth cargo category, c kn is the weight coefficient of the nth time standard in the kth cargo category, y kn is the time score of the nth time standard in the kth cargo category, M is the standard attribute number of the value standard, and N is the standard attribute number of the time standard;
determining the delivery priority of the delivery goods according to the delivery priority value;
Positioning the actual delivery position of the delivery goods by using a preset label collision algorithm and the delivery goods priority, and updating delivery information of goods storage in real time according to the actual delivery position;
and carrying out cargo inventory checking according to the nfc label, the warehousing information and the ex-warehouse information to obtain cargo inventory checking information, and determining the real-time warehousing state of cargo warehousing according to the cargo inventory checking information.
9. An electronic device, the electronic device comprising:
At least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of operating a cargo warehousing system based on nfc label identification of claim 8.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the method of operating a cargo warehousing system based on nfc label identification of claim 8.
CN202410123879.2A 2024-01-29 2024-01-29 Goods warehousing system, method, equipment and medium based on nfc label identification Pending CN117973998A (en)

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