A warehouse management system

Abstract

The application discloses a kind of warehousing management systems, and the application relates to warehousing management technical field.The warehousing management system, management system includes intelligent inventory monitoring module, central management module, internet of things platform, mobile customer terminal and automated warehouse management module, central management module is based on RFID technology and realizes real-time decoding, and the decoding information after real-time decoding is transmitted to intelligent inventory monitoring module by internet of things platform, and the checking of the decoding information of transmission is completed based on monitoring result by intelligent inventory monitoring module, and the intelligent comparison of adjacent frame image is completed based on image intelligent analysis unit by automated warehouse management module.The application makes that material enters and exits warehouse when central management module realizes real-time updating response by inventory unit and central management module, and reduces manual intervention by image intelligent analysis unit, and also takes manual audit as the final way of real-time decoding times and warehouse-out quantity, to ensure the accuracy of warehouse-in and warehouse-out statistics, updating.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of warehouse management, in particular to a warehouse management system. BACKGROUND

[0002] Warehouse management is the management of warehouses and the goods stored in warehouses, and the storage and preservation of goods in warehouses. The warehouse, also known as a warehouse, is a building and a place for storing goods, which can be a house building, a large container, a cave or a specific place, and has the function of storing and protecting goods. The storage means storing for use, and has the meaning of storing, preserving and delivering for use. When it is applied to tangible goods, it is also called storage. In short, warehouse storage is the behavior of storing goods in a specific place.

[0003] In most warehouses, data is collected and sorted by recording on paper, passing on documents, and then inputting into a computer manually. Not only is this inefficient, but it also wastes a lot of human resources. In the process of statistics, only the in-out warehouse registration management and the quantity of goods are counted, and the position of goods is not counted in real time. Over time, the position of goods will be chaotic, making it difficult to find goods, and a large amount of manpower is needed to standardize the placement of goods, regular inventory and in-out warehouse registration, etc., increasing the labor intensity of workers. In addition, the data obtained by statistics is generally stored in the local or server, which is easy to lose and leak. Therefore, it is necessary to design a logistics warehouse management system and method.

[0004] As disclosed in Chinese Patent Publication No. CN114715592B, a logistics warehouse management system and method, the technical solution is provided with a conveyor belt, which can connect the inside and outside of the warehouse, and transport the external goods to the inside of the warehouse. The system is provided with an article detection module, which can identify the text label of the goods on the conveyor belt, obtain the information of the goods, and set an RFID tag corresponding to the goods information on the goods. The system is provided with a space allocation module, which can allocate the goods storage area according to the goods information. The system is provided with a path planning module, which can plan a route for the forklift according to the goods storage area allocation. The forklift moves the goods to the vertical shelves along the planned route. The vertical shelves are provided with a plurality of placing racks for placing goods. The bottom of the placing rack is provided with a pressure sensor, which can determine whether the goods are placed on the placing rack according to the pressure value of the pressure sensor. The top of the placing rack is provided with an RFID card reader, which is opposite to the RFID tag on the goods. The control module can control the RFID card reader to collect the content of the RFID tag, and then obtain the goods number placed in the current placing rack, and then obtain the goods information, which is convenient for subsequent goods delivery search. The system is provided with an information encryption module, which can encrypt the goods information and store it in the blockchain through a third-party agency, so that the information will not be lost and the security can be ensured, thereby improving the security.

[0005] As can be seen from the above, the technical solution based on RFID technology completes the reading of the label or barcode. This process is completed by the radio frequency signal exciting the label. To a great extent, it can quickly shorten the inspection efficiency of material warehousing and delivery. However, the reading result is difficult to be fed back in real time and quickly unified with the warehousing system. Therefore, the real-time control module cannot display in real time during the process of collecting the content of the RFID tag to the delivery search. Moreover, the number and type of materials in and out of the warehouse can only be determined by the reading result of the RFID. Therefore, once an error occurs in the generation of the RFID tag, it is easy to cause the number and type of materials in and out of the warehouse to be inconsistent with the statistical data, so that the warehousing system cannot update the goods information in real time, the degree of manual intervention is increased, and the accuracy and efficiency of the warehousing operation are also greatly reduced. SUMMARY

[0006] In view of the deficiencies of the prior art, the present application provides a warehouse management system to solve the problems raised in the above background art.

[0007] To achieve the above purpose, the present application is implemented by the following technical solution: a warehouse management system, the management system comprises an intelligent inventory monitoring module, a central management module, an Internet of Things platform, a mobile client terminal and an automatic warehouse management module.

[0008] The central management module realizes real-time decoding based on RFID technology, and the decoded information after real-time decoding is transmitted to the intelligent inventory monitoring module by the Internet of Things platform, the intelligent inventory monitoring module completes the checking of the transmitted decoded information based on the monitoring result, and the automatic warehouse-in and warehouse-out management module completes the warehouse-out closed loop by matching the decoded information;

[0009] The automatic warehouse-in and warehouse-out management module completes the intelligent comparison of adjacent frame images based on the image intelligent analysis unit, wherein the real-time monitoring picture of the image intelligent analysis unit is opened to the mobile customer terminal by the Internet of Things platform, the characteristic parameters and the quantity of the warehouse-in materials are obtained based on the intelligent comparison of adjacent frame images, the automatic warehouse-in and warehouse-out management module forms a commodity code containing a time node based on the characteristic parameters of the warehouse-in materials, the central management module obtains the commodity code of the warehouse-in materials based on the Internet of Things platform, and the central management module forms a unique bar code based on the commodity code, the mobile customer terminal obtains the unique bar code, the commodity code and the characteristic parameters of the warehouse-in materials by the Internet of Things platform to complete the warehouse-in closed loop.

[0010] Further improvement of the technical scheme of the application is that the image intelligent analysis unit includes a dead angle-free monitoring network formed by multiple groups of camera probes arranged in the warehouse-in channel and the warehouse-out channel, the monitoring network is connected to the Internet of Things platform, and the real-time monitoring picture is transmitted to the mobile customer terminal based on the Internet of Things platform, and the image intelligent analysis unit obtains the quantity of warehouse-in based on the number of contour differences of the focal points in adjacent frame images.

[0011] The Internet of Things platform includes an intelligent comparison database, the data source of the intelligent comparison database is a historical warehouse-in image sample or an artificially photographed image sample, the image intelligent analysis unit completes the rotation amplification, random noise and gamma correction of the historical warehouse-in image sample and the artificially photographed image sample, and extracts the characteristic parameters to form a characteristic parameter set.

[0012] Further, the purpose of the rotation amplification of the image intelligent analysis unit based on the historical warehouse-in image sample and the artificially photographed image sample is to accurately match the warehouse-in materials with different placement angles in the process of rotation amplification of the historical warehouse-in image sample and the artificially photographed image sample, because the warehouse-in materials exist in the process of carrying and transmission during the warehouse-in process, and there is a large difference in the placement position.

[0013] Here, it is further disclosed that the application rotates and amplifies the historical warehouse-in image sample or the artificially photographed image sample in the intelligent comparison database based on the Faster-CNN algorithm:

[0014] According to the historical warehouse-entering image sample or the artificial photographing image sample file stream information in the intelligent comparison database, four coordinates in the boxes of each historical warehouse-entering image sample or artificial photographing image sample are horizontally flipped based on the append_flipped_images horizontal flipping function code of py-faster-rcnn / lib / datasets / imdb.py Rotation transformation is carried out, and ±90° flipping is carried out on the image matrix based on the_get_image_blob function of py-faster-rcnn / lib / datasets / imdb.py.

[0015] The purpose of the random noise is to monitor the warehouse-entering materials photographed by the network, and noise will inevitably be generated in the image transmission process. If the photographed image is preprocessed, unnecessary calculation burden will be caused. Therefore, based on this condition, the historical warehouse-entering image sample and the artificial photographing image sample are realized to be random noise, so as to achieve the random noise effect of the network photographing, and this step can be completed before warehousing, so as to avoid the automatic warehousing and management module and the central management module to generate unnecessary algorithm burden, and achieve real-time dynamic and rapid updating of the inventory state.

[0016] After the influence of noise and angle is eliminated, the light in the photographing process also has certain influence, so that gamma correction is carried out. The dark part and the light part in the image in the database can be detected, the dark part of the image is enlarged, the lightness detail is slightly improved, the contrast of the image is improved, and the photographed image is matched.

[0017] Further improvement of the technical scheme of the application is that the image intelligent analysis unit completes equal proportion scaling of adjacent frame images based on the Faster-CNN algorithm, carries out candidate frame extraction, uses CNN to extract corresponding feature parameters based on each candidate frame group, and matches the obtained feature parameters with a feature parameter set.

[0018] Further improvement of the technical scheme of the application is that the following two kinds of settings are any one of the following two kinds of settings:

[0019] The automatic warehousing and management module takes the successful matching of the feature parameters and the feature parameter set as an output signal, forms a commodity code containing a time node and a unique identification based on the feature parameters, and the internal storage and transportation system scans the commodity code, and transports the commodity code to the corresponding storage area according to the unique identification. The commodity code containing the unique identification means that the warehouse-entering materials belong to a large category. In order to be convenient to take and easy to count, the materials are often placed in the same area.

[0020] The automation in-out warehouse management module takes the feature parameter and feature parameter set matching failure as an output signal, is transmitted to the central management module through the Internet of Things platform, and the central management module carries out manual auditing and data alignment of the intelligent comparison database. The feature parameters of the warehousing material have no matching reaction with the existing feature parameter set, which indicates that the warehousing material is not in the history material of the warehouse, and the feature parameters are different from the history feature parameters in length, width, height, shape feature, surface texture feature, weight and the like. Therefore, in order to realize the rapid warehousing of the material and the real-time updating of the central management module, the feature parameters of the material should be recorded in the intelligent comparison database after manual auditing.

[0021] The further improvement of the technical scheme of the application is that the central management module is the center of warehouse management, so the number and type of warehouse goods are stored as inventory data in the central management module, and are displayed on the mobile client terminal through the Internet of Things platform. When the inventory data is too little or too much, the mobile client terminal can quickly know the warehouse quantity, so as to facilitate the subsequent allocation of the enterprise. The central management module further comprises an inventory unit, which generates an inventory table according to the unique bar code and commodity code of the warehousing material as the arrangement serial number. As known from the above disclosure, the commodity code is a large category, the unique bar code is a small category under the large category, and the unique bar code of each batch of warehousing material is different. Therefore, the corresponding alarm architecture should be set according to the warehousing material of different commodity codes, and the list of commodity code-unique bar code is set, so that the mobile client terminal can quickly and conveniently check the warehouse material and each batch of warehouse material. The inventory table sets a corresponding alarm threshold according to the number of each group of unique bar codes under different commodity codes, so that when the number of unique bar codes is less than the corresponding alarm threshold, the mobile client terminal displays the alarm threshold through the Internet of Things platform.

[0022] The further improvement of the technical scheme of the application is that the inventory unit sets the transmission frequency of the generation signal of the commodity code and the unique bar code as the increase of the number of corresponding unique bar codes in the inventory table, and the inventory unit sets the real-time decoding frequency of the central management module to complete the operation of the deletion amount of the corresponding unique bar code in the inventory table.

[0023] The further improvement of the technical scheme of the application is that the commodity code disclosed in detail above contains data information. Here, the reading process of the unique bar code and the data information contained in the unique bar code and different from the commodity code are disclosed in the real-time decoding of the material out of the warehouse. The real-time decoding is completed by the antenna of the reader to read the data and time sequence in the unique bar code. The different data information of the unique bar code and the commodity code includes the feature parameters, the unique feature parameter identification, the commodity code and the freely defined code, and the time sequence includes the time node.

[0024] It can be seen that the free definition code is randomly generated, and each batch of warehouse materials under the commodity code is classified, and in the outbound process, the unique barcode of each batch of warehouse materials is read, and the reading times and reading information of the unique barcode in the inventory table are deleted, so that the dynamic update of the inventory state is realized, the manual intervention is reduced, the accuracy and response speed of the warehouse management are significantly improved, and the operation cost is reduced, and further, the automatic warehouse management module forms a commodity code containing a time node based on the characteristic parameters of the warehouse materials, and the reading of the time sequence in the unique barcode by the reader through the antenna involves time, so that in the process of time reading, the warehouse management system also completes the closed loop of the material warehouse time record, and the real-time update of the inventory table in the central management module is realized.

[0025] The further improvement of the technical scheme of the application is that the intelligent inventory monitoring completes the outbound monitoring operation based on the monitoring network, and obtains the outbound quantity based on the number of contours of the focal point difference in the adjacent frame image of the outbound, and the outbound quantity output result is transmitted to the central management module through the Internet of Things platform.

[0026] The further improvement of the technical scheme of the application is that when the outbound quantity and the real-time decoding times do not match or match, the central management module and the inventory unit further include any one of the following settings:

[0027] The outbound quantity and the real-time decoding times match, and the inventory unit completes the deletion of the corresponding unique barcode in the inventory table according to the decoding information of the real-time decoding;

[0028] The outbound quantity and the real-time decoding times do not match, the central management module receives the mismatch result transmitted through the Internet of Things platform, and the central management module performs manual audit.

[0029] The further improvement of the technical scheme of the application is that the mobile client terminal connects the central management module through the Internet of Things platform, and the mobile client terminal displays the inventory unit and the inventory table through the data board.

[0030] Compared with the prior art, the beneficial effects of the present application are that the inventory unit increases the number of corresponding unique barcodes in the inventory table based on the transmission number of the generation signal of the commodity code and the unique barcode, and the inventory unit completes the operation of the reduction amount of the corresponding unique barcode in the inventory table based on the real-time decoding number of the central management module, so that the central management module realizes real-time updating response when the materials are in and out of the warehouse, and the in-out warehouse quantity is obtained by the image intelligent analysis unit according to the number of focal point differences in the adjacent frame images, and the real-time decoding number and the out-of-warehouse quantity are checked, which further avoids the statistical error caused by the error of the unique barcode generation, reduces the manual intervention, and at the same time, the manual audit is used as the final guarantee after the real-time decoding number and the out-of-warehouse quantity fail to match, so as to ensure the accuracy of the in-out warehouse statistics and updating.

[0031] The central management module is used as the center of warehouse management, so that the number and type of warehouse goods are stored as inventory data to the central management module, and the mobile client terminal is displayed by the Internet of Things platform, so that the mobile client terminal quickly knows the warehouse quantity when the inventory data is too little or too much, which is convenient for subsequent allocation of enterprises, and the alarm structure corresponding to the commodity code should be set according to the in-warehouse materials of different commodity codes, and the list of commodity code-unique barcode can enable the mobile client terminal to quickly and conveniently check the warehouse materials and each batch of warehouse materials.

[0032] The unique barcode of each batch of in-warehouse materials under the commodity code is read, and the corresponding unique barcode in the inventory table is reduced by the reading number and reading information, so that the dynamic updating of the inventory state is realized, the manual intervention is reduced, the accuracy and response speed of the warehouse management are significantly improved, and the operating cost is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 The schematic diagram of the related modules in the present warehouse management system;

[0034] Figure 2 The schematic diagram of the material in-warehouse and real-time updating of the inventory unit in the present warehouse management system;

[0035] Figure 3 The schematic diagram of the material out-of-warehouse and real-time updating of the inventory unit in the present warehouse management system;

[0036] Figure 4 The flowchart of the material in-warehouse in the present warehouse management system;

[0037] Figure 5 The flowchart of the material out-of-warehouse in the present warehouse management system. DETAILED DESCRIPTION

[0038] Various exemplary embodiments, features, and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numbers in different drawings represent the same or similar elements. Although various aspects of embodiments are illustrated in the drawings, the drawings are not necessarily drawn to scale unless specifically noted.

[0039] The term "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any implementation described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other implementations.

[0040] In addition, for the purpose of better illustrating the present application, numerous specific details are set forth in the following detailed description. Those skilled in the art will appreciate that the present application can be practiced without some or all of the specific details. In some instances, well-known methods, structures, and techniques have not been described in detail in order to avoid obscuring the present application.

[0041] Embodiment one, in order to solve the real-time update of the inventory state and the material in and out of the warehouse in the warehouse system, the present application provides a warehouse management system, the management system includes intelligent inventory monitoring module, central management module, Internet of Things platform, mobile customer terminal and automatic in and out of warehouse management module;

[0042] The central management module realizes real-time decoding based on RFID technology, and the decoded information after real-time decoding is transmitted to the intelligent inventory monitoring module by the Internet of Things platform. The intelligent inventory monitoring module checks the transmitted decoded information based on the monitoring result, and the automatic in and out of warehouse management module completes the out-of-warehouse closed loop by interfacing the decoded information.

[0043] The automatic in and out of warehouse management module completes intelligent comparison of adjacent frame images based on an image intelligent analysis unit. The real-time monitoring picture of the image intelligent analysis unit is opened to the mobile customer terminal through the Internet of Things platform. The feature parameters and the quantity of the in-warehouse material are obtained based on the intelligent comparison of the adjacent frame images. The automatic in and out of warehouse management module forms a commodity code containing a time node based on the feature parameters of the in-warehouse material. The central management module obtains the commodity code of the in-warehouse material based on the Internet of Things platform, and forms a unique bar code based on the commodity code. The mobile customer terminal obtains the unique bar code, the commodity code and the feature parameters of the in-warehouse material through the Internet of Things platform to complete the in-warehouse closed loop.

[0044] Based on the above disclosure, the application is based on an intelligent inventory monitoring module to complete real-time monitoring of material warehouse-in and warehouse-out, and provides an expansion scheme for the central management module to provide warehouse-in and warehouse-out quantities and warehouse-in material identification. The image intelligent analysis unit includes a non-blind angle monitoring network formed by multiple sets of camera probes arranged in the warehouse-in channel and the warehouse-out channel. The monitoring network is connected to the Internet of Things platform, and based on the Internet of Things platform, real-time monitoring pictures are transmitted to a mobile client terminal. The image intelligent analysis unit obtains the warehouse-in quantity according to the number of contour differences in the focal points of adjacent frames of images.

[0045] The Internet of Things platform includes an intelligent comparison database. The data source of the intelligent comparison database is historical warehouse-in image samples or artificially photographed image samples. The image intelligent analysis unit completes rotation amplification, random noise and gamma correction of the historical warehouse-in image samples and the artificially photographed image samples, and extracts feature parameters to form a feature parameter set.

[0046] Further, the purpose of the image intelligent analysis unit based on the historical warehouse-in image samples and the artificially photographed image samples to complete rotation amplification is that the warehouse-in materials exist in the process of carrying and transmission during the warehouse-in process, and thus there is a large difference in the placement position. Therefore, the historical warehouse-in image samples and the artificially photographed image samples can be accurately matched with warehouse-in materials with different placement angles during the rotation amplification process.

[0047] It is further disclosed herein that the application based on the Faster-CNN algorithm rotates and amplifies the historical warehouse-in image samples or the artificially photographed image samples in the intelligent comparison database:

[0048] According to the file stream information of the historical warehouse-in image samples or the artificially photographed image samples in the intelligent comparison database, the four coordinates in the boxes of each historical warehouse-in image sample or artificially photographed image sample are horizontally flipped based on the append_flipped_images function code of py-faster-rcnn / lib / datasets / imdb.py. The four coordinates are rotated and transformed, and ±90° flipping is performed on the image matrix based on the _get_image_blob function of py-faster-rcnn / lib / datasets / imdb.py.

[0049] The purpose of random noise is to monitor the warehouse material photographed by the network, and the image transmission process will inevitably be affected by noise, and if the photographed image is preprocessed, it will undoubtedly cause unnecessary computational burden, so based on this situation, the historical warehouse image sample and the artificial photographed image sample are realized to realize random noise, so as to achieve the random noise effect of the network photographing, and this step can be completed before warehousing, avoiding the generation of redundant algorithm burden of the automatic warehousing and management module and the central management module, and achieving the real-time dynamic and rapid update of the inventory state.

[0050] After eliminating the influence of noise and angle, the light in the shooting process also has a certain influence, so gamma correction is carried out to detect the dark part and the light part in the image in the database, increase the dark part of the image, and slightly improve the brightness details, improve the image contrast, and facilitate the matching with the photographed image.

[0051] The image intelligent analysis unit completes the equal proportion scaling of the adjacent frame images based on the Faster-CNN algorithm, carries out candidate box extraction, and uses CNN to extract corresponding feature parameters based on each candidate box group, and the obtained feature parameters are matched with the feature parameter set.

[0052] The further of the present application further comprises any one of the following two settings:

[0053] The automatic warehousing and management module takes the successful matching of the feature parameters and the feature parameter set as the output signal, forms a commodity code containing a time node and a unique identification based on the feature parameters, and the internal handling system of the warehouse scans the commodity code, and according to the unique identification, the corresponding storage area is handled; wherein the commodity code containing the unique identification means that the large category of the warehousing material, and the material of this category is placed in the same area for the convenience of taking and easy counting;

[0054] The automatic warehousing and management module takes the failure of the matching of the feature parameters and the feature parameter set as the output signal, and transmits it to the central management module through the Internet of Things platform, and the central management module carries out manual auditing and intelligent comparison of the data alignment of the database. The feature parameters of the warehousing material have no matching reaction with the existing feature parameter set, which means that the warehousing material is not in the history of the warehouse, and the feature parameters are different from the historical feature parameters in length, width, height, shape characteristics, surface texture characteristics, weight and the like, so as to realize the rapid warehousing of the material of the same kind and the real-time update of the central management module. Therefore, after manual auditing, the feature parameters of the material should be recorded in the intelligent comparison database.

[0055] In the third embodiment, the central management module is the center of warehouse management, and the quantity and type of warehouse goods are stored as inventory data in the central management module. The inventory data is displayed on the mobile client terminal through the Internet of Things platform. When the inventory data is too little or too much, the mobile client terminal can quickly learn the quantity of the warehouse, which is convenient for subsequent allocation of the enterprise. The central management module further includes an inventory unit. The inventory unit generates an inventory table according to the unique bar code and the commodity code of the warehousing material as the arrangement serial number. As disclosed above, the commodity code is a large category, and the unique bar code is a small category under the large category. The unique bar codes of each batch of warehousing materials are different. Therefore, the corresponding alarm structure should be set according to the warehousing materials of different commodity codes, and the list of commodity codes and unique bar codes should be set to enable the mobile client terminal to quickly and conveniently check the warehouse materials and each batch of warehouse materials. The inventory table sets a corresponding alarm threshold based on the quantity of each group of unique bar codes under different commodity codes, so that when the quantity of unique bar codes is less than the corresponding alarm threshold, the mobile client terminal displays the information through the Internet of Things platform.

[0056] The inventory unit increases the quantity of the corresponding unique bar code in the inventory table based on the transmission times of the generation signal of the commodity code and the unique bar code. The inventory unit completes the operation of reducing the corresponding unique bar code in the inventory table based on the real-time decoding times of the central management module.

[0057] The commodity code disclosed in detail above contains data information. Here, the reading process of the unique bar code and the data information contained in the unique bar code and different from the commodity code are disclosed in the real-time decoding of the material delivery. The real-time decoding is completed by the antenna of the reader to read the data and time sequence in the unique bar code. The different data information of the unique bar code and the commodity code includes characteristic parameters, characteristic parameter unique identification, commodity codes, and freely defined codes. The time sequence includes time nodes.

[0058] As can be seen, the freely defined code is randomly generated to classify each batch of warehousing materials under the commodity code. After the unique bar code of each batch of warehousing materials is read in the delivery process, the corresponding unique bar code in the inventory table is reduced based on the reading times and reading information. Therefore, the dynamic update of the inventory state is realized, the manual intervention is reduced, the accuracy and response speed of warehouse management are significantly improved, and the operating cost is reduced. Furthermore, the automatic warehousing and delivery management module forms a commodity code containing time nodes based on the characteristic parameters of the warehousing material, and the real-time decoding is completed by the antenna of the reader to read the time sequence in the unique bar code, which involves time. Therefore, in this process of time reading, the warehouse management system also completes the closed loop of the material warehousing and delivery time record, and meets the real-time update requirement of the inventory table in the central management module.

[0059] In the fourth embodiment, the intelligent inventory monitoring is based on the network to complete the out-of-warehouse monitoring operation, and the out-of-warehouse quantity is obtained based on the number of contour of the focal point difference in the adjacent frame images of the out-of-warehouse. The out-of-warehouse quantity output result is transmitted to the central management module through the Internet of Things platform.

[0060] When the out-of-warehouse quantity and the real-time decoding times are matched or not matched, the central management module and the inventory unit further include any one of the following settings:

[0061] When the out-of-warehouse quantity and the real-time decoding times are matched, the inventory unit deletes the corresponding unique bar code in the inventory table according to the decoding information of the real-time decoding.

[0062] When the out-of-warehouse quantity and the real-time decoding times are not matched, the central management module receives the mismatch result transmitted through the Internet of Things platform, and the central management module performs manual audit.

[0063] The mobile client terminal connects the central management module through the Internet of Things platform, and the mobile client terminal displays the inventory unit and the inventory table through the data board.

[0064] It should be noted that, in this document, the terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0065] Although the embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A warehouse management system, characterized by, The management system comprises an intelligent inventory monitoring module, a central management module, an Internet of Things platform, a mobile customer terminal and an automated warehouse-in and warehouse-out management module; The central management module realizes real-time decoding based on RFID technology, and the decoded information after real-time decoding is transmitted to the intelligent inventory monitoring module by the Internet of Things platform, the intelligent inventory monitoring module completes checking of the transmitted decoded information based on monitoring results, and the automated warehouse-in and warehouse-out management module completes warehouse-out closed loop by interfacing the decoded information; The automated warehouse-in and warehouse-out management module completes intelligent comparison of adjacent frame images based on an image intelligent analysis unit, wherein the real-time monitoring picture of the image intelligent analysis unit is opened to the mobile customer terminal by the Internet of Things platform, the characteristic parameters and the quantity of warehouse-in materials are obtained based on intelligent comparison of adjacent frame images, the automated warehouse-in and warehouse-out management module forms a commodity code containing a time node based on the characteristic parameters of the warehouse-in materials, the central management module obtains the commodity code of the warehouse-in materials based on the Internet of Things platform, and the central management module forms a unique barcode based on the commodity code, the mobile customer terminal obtains the unique barcode, the commodity code and the characteristic parameters of the warehouse-in materials by the Internet of Things platform to complete warehouse-in closed loop; The central management module further comprises an inventory unit, the inventory unit prepares an inventory table according to the unique barcode and the commodity code of the warehouse-in materials as arrangement serial numbers, and corresponding alarm thresholds are set based on the number of each group of unique barcodes under different commodity codes in the inventory table, so that when the number of unique barcodes is less than the corresponding alarm threshold, the mobile customer terminal is displayed by the Internet of Things platform; The inventory unit takes the transmission frequency of the generation signal of the commodity code and the unique barcode as the increase of the corresponding unique barcode quantity in the inventory table, and the inventory unit completes the calculation of the deletion amount of the corresponding unique barcode in the inventory table based on the real-time decoding frequency of the central management module; The real-time decoding is completed by the reader through the antenna to read the data and time sequence in the unique barcode, wherein the data includes characteristic parameters, characteristic parameter uniqueness identifier, commodity code and freely defined code, and the time sequence includes a time node; The intelligent inventory monitoring completes warehouse-out monitoring based on a monitoring network, and obtains the warehouse-out quantity based on the number of contour differences of focal points in adjacent frame images of warehouse-out, and the output result of the warehouse-out quantity is transmitted to the central management module by the Internet of Things platform.

2. The warehouse management system of claim 1, wherein, The image intelligent analysis unit comprises a monitoring network formed by a plurality of camera probes arranged in the warehouse-in channel and the warehouse-out channel without dead angle, the monitoring network is transmission connected to the Internet of Things platform, and the real-time monitoring picture is transmitted to the mobile customer terminal based on the Internet of Things platform, and the image intelligent analysis unit obtains the warehouse-in quantity according to the number of contour differences of focal points in adjacent frame images; The Internet of Things platform comprises an intelligent comparison database, the data source of the intelligent comparison database is historical warehouse-in image samples or artificially shot image samples, the image intelligent analysis unit completes rotation amplification, random noise and gamma correction of the historical warehouse-in image samples and the artificially shot image samples, and performs characteristic parameter extraction to form a characteristic parameter set.

3. The warehouse management system of claim 2, wherein, The image intelligent analysis unit completes the scaling of adjacent frame images based on the Faster-CNN algorithm, extracts the candidate frame, and uses CNN to extract the corresponding feature parameters based on each group of candidate frames. The obtained feature parameters are matched with the feature parameter set.

4. The warehouse management system of claim 3, wherein, Further comprising any one of the following two settings: The automatic warehouse management module takes the successful matching of the feature parameters and the feature parameter set as an output signal, forms a commodity code containing a time node and a unique identification based on the feature parameters, and scans the commodity code by the internal storage and transportation system. According to the unique identification, it is transported to the corresponding storage area; The automatic warehouse management module takes the failure of the feature parameter matching as an output signal, transmits it to the central management module through the Internet of Things platform, and the central management module performs manual review and data alignment of the intelligent comparison database.

5. The warehouse management system of claim 1, wherein, Further comprising any one of the following two settings: The number of outbound and real-time decoding times matches, and the inventory unit deletes the corresponding unique bar code in the inventory table according to the real-time decoding information; The number of outbound and real-time decoding times do not match, and the central management module receives the unmatched results transmitted through the Internet of Things platform, and the central management module performs manual review.

6. The warehouse management system of claim 5, wherein, The mobile client terminal connects the central management module through the Internet of Things platform, and the mobile client terminal displays the inventory unit and inventory table through the data board.

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