TWI813317B - Semi-automatic smart warehouse management system - Google Patents

Abstract

The present invention provides a semi-automatic intelligent warehouse management system, which includes a cloud control module, a warehouse auxiliary module and a warehouse confirmation module. The cloud control module includes a cloud database, the storage auxiliary module includes a first image recognition unit, a voice recognition unit and a first prompt unit, and the warehouse confirmation module includes a second image recognition unit and a second prompt unit. Based on the above configuration, the warehouse auxiliary module performs image recognition on the goods to be put into the warehouse through the first image recognition unit, or performs voice recognition on the staff's voice input through the voice recognition unit, so as to obtain the corresponding goods information from the cloud database according to the recognition result, and the corresponding prompt information is provided by the first prompt unit to assist the warehouse entry and exit operations. In addition, the warehouse confirmation module performs image recognition on the goods through the second image recognition unit to confirm whether the warehousing operation is correct, and provides corresponding prompt information through the second prompt unit.

Description

半自動智慧倉儲管理系統Semi-automatic smart warehouse management system

本發明涉及一種倉儲管理系統，且特別涉及一種輔助工作人員執行貨品之出入倉作業，並進一步結合人工智慧之機器學習進行倉儲管理，進而最佳化倉儲管理之效率的半自動智慧倉儲管理系統。The present invention relates to a warehousing management system, and in particular, to a semi-automatic smart warehousing management system that assists staff in carrying out goods entry and exit operations, and further combines machine learning with artificial intelligence to perform warehousing management, thereby optimizing the efficiency of warehousing management.

隨著科技的發展，現代社會已然步入工業4.0時代，人類對於機械的依賴及要求也越來越高，並期待透過新型機械的發明及改良，以提高人類的生活水準並使得人們的生活更為便利。在現今工業無人化的潮流下，各領域的業者無不乘此風潮，希望藉由新科技的導入以獲得大幅度的躍升，而倉儲產業也是其中的一份子。With the development of science and technology, modern society has entered the era of Industry 4.0. Human beings are increasingly dependent on and demanding machinery. They look forward to the invention and improvement of new machinery to improve human living standards and make people's lives better. For convenience. Under the current trend of unmanned industry, industry players in various fields are all taking advantage of this trend and hope to achieve substantial growth through the introduction of new technologies, and the warehousing industry is also a part of it.

在通常的倉儲管理系統中，在貨物出入倉時需要透過工作人員以人工方式現場抄寫貨品的位置、種類及數量，並將其輸入至管理系統以進行控管。其中，當工作人員需要將貨品入倉或取出貨品時，需要以人工方式查詢管理系統內的倉儲紀錄，當需要一次拿取多個種類的不同數量的貨品時，更需要逐一比對各貨品的名稱、數量及位置，其過程不僅耗時且容易發生拿錯貨品的情形。此外，透過人工方式登記貨品的出入倉紀錄可能因人為疏失而導致貨品未放置在預定的位置，並使得倉儲紀錄與實際貨品的位置或數量不相同，其將造成後續工作人員領取貨品上的困擾，也可能發生貨品遺失等問題。因此，隨著倉儲管理系統的規模逐漸發展，以人工管理之倉儲管理系統的工作效率較低、錯誤率較高且無法進行實時更新，已難以應付現今倉儲管理系統中數量繁多且種類龐雜的大量貨物。In a common warehouse management system, when goods enter and leave the warehouse, staff need to manually record the location, type and quantity of the goods on site, and input them into the management system for control. Among them, when staff need to put goods into or take out goods, they need to manually query the warehousing records in the management system. When they need to pick up multiple types of goods of different quantities at one time, they need to compare the names of each goods one by one. , quantity and location. The process is not only time-consuming but also prone to getting the wrong goods. In addition, manually registering the entry and exit records of goods may cause the goods not to be placed in the predetermined location due to human error, and the warehouse record will be different from the actual location or quantity of the goods, which will cause trouble for subsequent staff to collect the goods. , problems such as loss of goods may also occur. Therefore, as the scale of the warehouse management system gradually develops, the manual management of the warehouse management system has low work efficiency, high error rate and cannot be updated in real time. It is difficult to cope with the large number and variety of large quantities in today's warehouse management systems. goods.

因此，在現今的倉儲領域中發展出了自動倉儲管理系統，其通常包含數量眾多的諸如感測裝置、運輸裝置、處理裝置、揀選裝置及儲存裝置等的各式設備，且各裝置彼此連接以透過控制平台進行同步控制，藉此達到自動化的倉儲作業。習知的自動倉儲管理系統不但可以有效地提高倉儲作業的工作效率，且可以降低倉儲作業的錯誤率，更可以減少工作人員的數量以減少人力成本。Therefore, automatic warehouse management systems have been developed in today's warehousing field, which usually include a large number of various equipment such as sensing devices, transportation devices, processing devices, picking devices, storage devices, etc., and each device is connected to each other to Synchronous control is performed through the control platform to achieve automated warehousing operations. Xinzhi's automatic warehousing management system can not only effectively improve the efficiency of warehousing operations, but also reduce the error rate of warehousing operations. It can also reduce the number of staff to reduce labor costs.

然而，自動倉儲管理系統設置成本高昂，且對於設置空間的要求也較高，其後續的維護成本更是不容小覷，對於倉儲預算或倉儲需求較小的使用者而言，習知的自動倉儲管理系統可能無法滿足其需求。此外，由於使用習慣的不同，對於部分工作人員而言，其可能無法順利地操作及適應新型的自動倉儲管理系統，其將導致工作人員的工作效率及意願的降低。However, the installation cost of automatic warehousing management systems is high, and the requirements for installation space are also high, and its subsequent maintenance costs cannot be underestimated. For users with small warehousing budget or warehousing needs, the conventional automatic warehousing system The management system may not meet its needs. In addition, due to different usage habits, some staff may not be able to smoothly operate and adapt to the new automatic warehousing management system, which will lead to a reduction in the staff's work efficiency and willingness.

為此，如何設計出一種倉儲管理系統，以解決先前技術的技術問題，乃為本發明之發明人所研究的重要課題。Therefore, how to design a warehouse management system to solve the technical problems of the prior art is an important topic studied by the inventor of the present invention.

有鑑於此，本發明人乃累積多年相關領域之研究及實務經驗，研發出一種半自動智慧倉儲管理系統，以改善先前技術中所述的問題。In view of this, the inventor has accumulated many years of research and practical experience in related fields and developed a semi-automatic smart warehouse management system to improve the problems described in the prior art.

為了解決上述先前技術中存在的問題，本發明提供一種半自動智慧倉儲管理系統，其包含雲端控制模組、倉儲輔助模組及複數個倉儲確認模組。其中，雲端控制模組包含：雲端資料庫，其包含貨品資料庫，其儲存有對應於倉儲空間所存放之複數個貨品的複數個貨品資訊；以及資料庫管理單元，其連接雲端資料庫，以讀取或寫入貨品資料庫中的貨品資訊。倉儲輔助模組設置於倉儲空間之入口，倉儲輔助模組包含：第一影像辨識單元，其連接資料庫管理單元，第一影像辨識單元對待入倉之貨品進行影像辨識且產生入倉需求資訊，其中資料庫管理單元依據入倉需求資訊從貨品資料庫獲取對應的貨品資訊；語音辨識單元，其連接資料庫管理單元，語音辨識單元對工作人員輸入之語音進行語音辨識且產生出倉需求資訊，其中資料庫管理單元依據出倉需求資訊從貨品資料庫獲取對應的貨品資訊；以及第一提示單元，其連接資料庫管理單元，第一提示單元依據對應於出倉需求資訊或者入倉需求資訊的貨品資訊產生第一提示資訊，其包含貨品的倉儲位置。複數個倉儲確認模組分別設置於倉儲空間內的各貨架，各倉儲確認模組包含：第二影像辨識單元，其連接資料庫管理單元，第二影像辨識單元對移入或移出貨架之貨品進行影像辨識以產生貨品出入倉資訊，其中資料庫管理單元依據貨品出入倉資訊從貨品資料庫獲取對應的貨品資訊，並且判斷貨品出入倉資訊與第一提示資訊是否相符合，並根據判斷結果產生判斷訊號；以及第二提示單元，其連接資料庫管理單元，第二提示單元依據判斷訊號產生第二提示資訊。其中，資料庫管理單元依據貨品出入倉資訊以變更貨品資料庫所儲存之的貨品資訊。In order to solve the problems existing in the above-mentioned prior art, the present invention provides a semi-automatic smart warehousing management system, which includes a cloud control module, a warehousing auxiliary module and a plurality of warehousing confirmation modules. Among them, the cloud control module includes: a cloud database, which includes a product database, which stores a plurality of product information corresponding to a plurality of products stored in the warehouse space; and a database management unit, which is connected to the cloud database to Read or write product information in the product database. The warehousing auxiliary module is installed at the entrance of the warehousing space. The warehousing auxiliary module includes: a first image recognition unit, which is connected to the database management unit. The first image recognition unit performs image recognition of the goods to be warehoused and generates warehousing demand information, in which the data The warehouse management unit obtains the corresponding product information from the product database based on the warehousing demand information; the speech recognition unit is connected to the database management unit. The speech recognition unit performs speech recognition on the voice input by the staff and generates the warehousing demand information. The database The management unit obtains the corresponding product information from the product database based on the outbound demand information; and the first prompting unit is connected to the database management unit, and the first prompting unit generates the first prompting unit based on the product information corresponding to the outbound demand information or the inbound demand information. A prompt information, which contains the storage location of the goods. A plurality of storage confirmation modules are respectively installed on each shelf in the storage space. Each storage confirmation module includes: a second image recognition unit, which is connected to the database management unit. The second image recognition unit images the goods moved into or out of the shelf. Identification to generate goods entry and exit information, in which the database management unit obtains corresponding product information from the goods database based on the goods entry and exit information, and determines whether the goods entry and exit information is consistent with the first prompt information, and generates a judgment signal based on the judgment result ; And a second prompt unit, which is connected to the database management unit, and the second prompt unit generates second prompt information based on the judgment signal. Among them, the database management unit changes the product information stored in the product database based on the information of the goods entering and exiting the warehouse.

較佳地，雲端資料庫包含身分資料庫，其儲存有對應於複數個工作人員的複數個身分資訊，且第一影像辨識單元對位於倉儲空間之入口的工作人員進行影像辨識，以從身分資料庫獲取工作人員之身分資訊，並於確認工作人員之身分資訊時第一提示單元產生對應的第一提示資訊。Preferably, the cloud database includes an identity database, which stores a plurality of identity information corresponding to a plurality of staff, and the first image recognition unit performs image recognition on the staff located at the entrance of the warehouse space to obtain the identity information from the identity information. The library obtains the identity information of the staff member, and when confirming the identity information of the staff member, the first prompt unit generates corresponding first prompt information.

較佳地，第一影像辨識單元及第二影像辨識單元利用影像辨識手段以辨識貨品上的識別資訊，且資料庫管理單元依據識別資訊的識別結果讀取貨品資料庫中對應的貨品資訊，並且識別資訊包含供第一影像辨識單元及第二影像辨識單元辨識的條碼。Preferably, the first image recognition unit and the second image recognition unit use image recognition means to identify the identification information on the goods, and the database management unit reads the corresponding product information in the product database based on the identification results of the identification information, and The identification information includes a barcode recognized by the first image recognition unit and the second image recognition unit.

較佳地，貨品資訊包含型號資訊、數量資訊及時間資訊。Preferably, the product information includes model information, quantity information and time information.

較佳地，資料庫管理單元使用一支持向量機對貨品資料庫中的貨品資訊分類，以比較入倉需求資訊或出倉需求資訊與貨品資料庫中之貨品資訊，進而依據先進先出原則從貨品資料庫獲取對應的貨品資訊。Preferably, the database management unit uses a support vector machine to classify the product information in the product database to compare the warehousing demand information or outbound demand information with the product information in the product database, and then classify the goods from the product according to the first-in, first-out principle. Obtain corresponding product information from the database.

較佳地，資料庫管理單元儲存有庫存管理模型，且資料庫管理單元獲取預設貨品入倉量參數及貨品出倉量參數，並且運行庫存管理模型以依據預設貨品入倉量參數及貨品出倉量參數計算出建議貨品入倉量，其中建議貨品入倉量適用於輔助工作人員決定貨品的入倉數量。Preferably, the database management unit stores an inventory management model, and the database management unit obtains the preset goods inbound quantity parameters and the goods outbound quantity parameters, and runs the inventory management model to calculate the preset goods inbound quantity parameters and the goods outbound quantity parameters. The quantity parameters are used to calculate the recommended warehousing quantity of goods, where the recommended warehousing quantity is suitable for assisting staff in deciding the warehousing quantity of goods.

較佳地，資料庫管理單元連接庫存管理操作端，且貨品資料庫儲存有當前貨品庫存量參數，資料庫管理單元運行庫存管理模型以依據貨品出倉量參數及當前貨品庫存量參數計算出預測庫存量，且判斷預測庫存量是否低於安全庫存量，並且於判斷預測庫存量低於安全庫存量時產生並傳輸庫存警示通知至庫存管理操作端。Preferably, the database management unit is connected to the inventory management operation terminal, and the product database stores current product inventory parameters. The database management unit runs the inventory management model to calculate the prediction based on the product out-of-warehouse parameters and the current product inventory parameters. Inventory quantity, and determine whether the predicted inventory quantity is lower than the safety stock quantity, and when it is judged that the predicted inventory quantity is lower than the safety stock quantity, an inventory warning notification is generated and transmitted to the inventory management operation terminal.

較佳地，第一提示單元及第二提示單元分別包含選自於發光元件、聲音元件及顯示元件所組成之群組中的至少一者，且第一提示資訊及第二提示資訊分別包含對應的發光訊息、聲音訊息或顯示訊息。Preferably, the first prompt unit and the second prompt unit respectively include at least one selected from the group consisting of light-emitting elements, sound elements and display elements, and the first prompt information and the second prompt information respectively include corresponding luminous message, sound message or display message.

較佳地，雲端控制模組、倉儲輔助模組及倉儲確認模組之間係透過無線通訊方式連接，並且無線通訊方式為選自於窄頻物聯網、3G、4G、5G、長期演進技術、無線射頻通訊、紅外線通訊、藍芽、Zigbee、Z-Wave、DECT-ULE及WiFi所組成之群組中的至少一者。Preferably, the cloud control module, the warehousing auxiliary module and the warehousing confirmation module are connected through wireless communication, and the wireless communication method is selected from the narrowband Internet of Things, 3G, 4G, 5G, long-term evolution technology, At least one of the group consisting of wireless radio frequency communication, infrared communication, Bluetooth, Zigbee, Z-Wave, DECT-ULE and WiFi.

較佳地，半自動智慧倉儲管理系統以在不更動倉儲設備之主結構下以附加的方式結合於倉儲空間之倉儲設備上。Preferably, the semi-automatic smart warehouse management system is combined with the storage equipment in the storage space in an additional manner without changing the main structure of the storage equipment.

綜上所述，本發明之半自動智慧倉儲管理系統設置有倉儲輔助模組，當工作人員移動待入倉之貨品至倉儲空間之入口時，倉儲輔助模組的第一影像辨識單元待入倉之貨品進行影像辨識，以透過識別貨品上的識別資訊從雲端資料庫中獲取對應的型號資訊、數量資訊、時間資訊及預定的放置位置。並且，倉儲輔助模組的第一提示單元透過聲音元件及/或顯示元件以語音訊息及/或顯示訊息的形式提供對應的第一提示資訊，其包含貨品的放置位置，進而輔助工作人員將待入倉之貨品放置到預定位置。To sum up, the semi-automatic smart warehousing management system of the present invention is equipped with a warehousing auxiliary module. When the staff moves the goods to be put into the warehouse to the entrance of the warehousing space, the first image recognition unit of the warehousing auxiliary module performs the process of identifying the goods to be put into the warehouse. Image recognition is used to obtain the corresponding model information, quantity information, time information and scheduled placement location from the cloud database by identifying the identification information on the goods. Moreover, the first prompt unit of the warehousing auxiliary module provides the corresponding first prompt information in the form of a voice message and/or a display message through a sound component and/or a display component, which includes the placement location of the goods, so that the auxiliary staff will The goods entering the warehouse are placed at the predetermined location.

此外，倉儲輔助模組更設置有語音辨識單元，當工作人員需要進入至倉儲空間拿取貨品時可以對語音辨識單元說明其出倉需求，使得語音辨識單元對工作人員輸入之語音進行語音辨識，以透過語音辨識結果從雲端資料庫中獲取對應的貨品型號資訊、數量資訊、時間資訊及倉儲位置。並且，倉儲輔助模組的第一提示單元同樣透過聲音元件及/或顯示元件以語音訊息及/或顯示訊息的形式提供對應的第一提示資訊，其包含貨品的放置位置，進而輔助工作人員移動至倉儲空間中對應的貨架以拿取所需的貨品。藉由倉儲輔助模組的設置，工作人員在進行入倉作業時，僅需依照根據影像辨識結果所提供的第一提示資訊以執行入倉作業，並將待入倉之貨品放置到預定位置。並且，工作人員在進行出倉作業時，僅需透過語音的方式輸入其出倉需求，並依據語音辨識結果所提供的第一提示資訊以執行出倉作業，從而在對應的貨架拿取貨品，其操作簡便且能有效提升工作人員執行出入倉作業的工作效率。In addition, the warehousing auxiliary module is also equipped with a voice recognition unit. When staff need to enter the warehouse space to pick up goods, they can explain their exit requirements to the voice recognition unit, so that the voice recognition unit can perform voice recognition on the voice input by the staff. The corresponding product model information, quantity information, time information and storage location can be obtained from the cloud database through voice recognition results. Moreover, the first prompt unit of the warehousing auxiliary module also provides corresponding first prompt information in the form of voice messages and/or display messages through sound components and/or display components, which includes the placement location of the goods, thereby assisting staff in moving. Go to the corresponding shelves in the storage space to get the required goods. Through the setting of the warehousing auxiliary module, when performing warehousing operations, staff only need to follow the first prompt information provided based on the image recognition results to carry out the warehousing operations and place the goods to be put into the warehouse at the predetermined location. Moreover, when performing out-of-warehouse operations, staff only need to input their out-of-warehouse requirements through voice, and execute the out-of-warehouse operation based on the first prompt information provided by the voice recognition results, thereby picking up the goods from the corresponding shelves. It is easy to operate and can effectively improve the efficiency of staff in entering and exiting the warehouse.

進一步地，本發明之半自動智慧倉儲管理系統於倉儲空間內的各貨架更設置有倉儲確認模組，當工作人員進入至倉儲空間內的貨架放置貨品或者拿取貨品時，倉儲確認模組的第二影像辨識單元對工作人員所放置或者拿取的貨品進行影像辨識，以透過識別貨品上的識別資訊從雲端資料庫中獲取對應的貨品資訊，且將其與工作人員進入倉儲空間時倉儲輔助模組所產生的第一提示資訊進行比對，以確認工作人員所執行之出入倉作業是否正確。其中，若工作人員所放置或拿取的貨品之種類、數量、貨品入倉日期、貨品製造日期或倉儲位置不正確，則倉儲確認模組的第二提示單元透過發光元件及/或聲音元件以發光訊息及/或聲音訊息的形式提供對應的第二提示資訊，進而提醒工作人員。並且，在確認出入倉作業正確後，雲端控制模組的資料庫管理單元自動更新雲端資料庫中的貨品資訊並且自動儲存此次出入倉作業的操作紀錄資料。Furthermore, the semi-automatic smart warehousing management system of the present invention is further equipped with a storage confirmation module on each shelf in the storage space. When the staff enters the shelf in the storage space to place goods or take out goods, the third part of the storage confirmation module The second image recognition unit performs image recognition on the goods placed or taken by the staff to obtain the corresponding product information from the cloud database by identifying the identification information on the goods, and combines it with the warehousing auxiliary model when the staff enters the warehouse space. The first prompt information generated by the group is compared to confirm whether the entry and exit operations performed by the staff are correct. Among them, if the type, quantity, goods entry date, goods manufacturing date or storage location of the goods placed or picked up by the staff are incorrect, the second prompt unit of the warehouse confirmation module will emit light through the light-emitting element and/or the sound element. Corresponding second reminder information is provided in the form of messages and/or sound messages to remind staff. Moreover, after confirming that the warehouse entry and exit operations are correct, the database management unit of the cloud control module automatically updates the product information in the cloud database and automatically stores the operation record data of the warehouse entry and exit operations.

並且，本發明之半自動智慧倉儲管理系統的各組件之間透過無線通訊方式連接，因此無需額外進行配線、配管等作業，其設置成本較為低廉，並且在設置時無需更動原本的倉儲設備之主結構，可進行實施的場域較為廣泛。Moreover, the various components of the semi-automatic smart warehouse management system of the present invention are connected through wireless communication, so there is no need for additional wiring, piping, etc. The installation cost is relatively low, and there is no need to change the main structure of the original storage equipment during installation. , the field where it can be implemented is relatively wide.

此外，雲端資料庫更可以儲存有工作人員的身分資訊，且倉儲輔助模組的第一影像辨識單元更可以對執行出入倉作業的工作人員執行人臉辨識，其不但可以防止非預期的人員進入至倉儲空間中，更可以記錄執行出入倉作業之工作人員，從而有利於倉儲管理系統的管理。In addition, the cloud database can also store the identity information of the staff, and the first image recognition unit of the warehousing auxiliary module can also perform face recognition on the staff performing entry and exit operations, which can not only prevent unexpected personnel from entering In the warehousing space, the staff who perform the entry and exit operations can be recorded, which is beneficial to the management of the warehousing management system.

藉由上述配置，本發明之半自動智慧倉儲管理系統係用以輔助工作人員執行出入倉作業，使得工作人員在進行貨品的倉儲作業時不需要手動進行紀錄，而可以自動且實時地更新倉儲空間中貨品的貨品資訊，並且可以自動儲存本發明之半自動智慧倉儲管理系統的操作紀錄資料，其有利於後續人員執行倉儲作業。並且，當工作人員需要進入至倉儲空間放置或者拿取貨品時，不需要手動查詢倉儲紀錄，而可以利用倉儲輔助模組以影像辨識或者語音輸入的方式獲取對應的貨品資訊，並依據所獲得的貨品資訊執行出入倉作業。此外，廠商可以利用人工智慧之機器學習的庫存管理模型對庫存資料進行資料處理，除了可以協助維持各貨品的安全庫存，並且可以輔助庫存管理者預估貨品未來的供需面，進而最佳化倉儲管理的效率。因此，本發明之半自動智慧倉儲管理系統有利於提高工作人員的工作效率並且可以提供倉儲資料的預測性數據，從而可以輔助工作人員有效地管理貨品庫存。With the above configuration, the semi-automatic smart warehouse management system of the present invention is used to assist staff in performing warehouse entry and exit operations, so that staff do not need to manually record when performing warehouse operations, but can automatically and real-time update the information in the warehouse space. The product information of the goods can be automatically stored, and the operation record data of the semi-automatic intelligent warehousing management system of the present invention can be automatically stored, which is beneficial to subsequent personnel to perform warehousing operations. Moreover, when staff need to enter the storage space to place or pick up goods, they do not need to manually query the storage records. Instead, they can use the warehousing auxiliary module to obtain the corresponding product information through image recognition or voice input, and based on the obtained Cargo information carries out warehouse entry and exit operations. In addition, manufacturers can use artificial intelligence and machine learning inventory management models to process inventory data. In addition to assisting in maintaining the safety inventory of each product, it can also assist inventory managers to predict the future supply and demand of goods, thereby optimizing warehousing. Management efficiency. Therefore, the semi-automatic smart warehousing management system of the present invention is beneficial to improving the work efficiency of staff and can provide predictive data of warehousing materials, thereby assisting staff to effectively manage product inventory.

為利 貴審查員瞭解本發明之技術特徵、內容與優點及其所能達成之功效，茲將本發明配合附圖，並以實施例之表達形式詳細說明如下，而其中所使用之圖式，其主旨僅為示意及輔助說明之用，未必為本發明實施後之真實比例與精準配置，故不應就所附之圖式的比例與配置關係解讀、侷限本發明於實際實施上的權利範圍，合先敘明。In order to help the examiner understand the technical features, content and advantages of the present invention and the effects it can achieve, the present invention is described in detail below in conjunction with the accompanying drawings and in the form of embodiments. The drawings used therein are as follows. The subject matter is only for illustration and auxiliary explanation, and may not represent the actual proportions and precise configurations after implementation of the present invention. Therefore, the proportions and configuration relationships of the attached drawings should not be interpreted to limit the scope of rights of the present invention in actual implementation. Let’s explain first.

應當理解的是，儘管術語「第一」、「第二」等在本發明中可用於描述各種元件、部件、區域、層及/或部分，但是這些元件、部件、區域、層及/或部分不應受這些術語的限制。這些術語僅用於將一個元件、部件、區域、層及/或部分與另一個元件、部件、區域、層及/或部分區分開。因此，下文討論的「第一元件」、「第一部件」、「第一區域」、「第一層」及/或「第一部分」可以被稱為「第二元件」、「第二部件」、「第二區域」、「第二層」及/或「第二部分」，而不悖離本發明的精神和教示。It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections These terms should not be limited. These terms are only used to distinguish one element, component, region, layer and/or section from another element, component, region, layer and/or section. Therefore, the "first element", "first component", "first region", "first layer" and/or "first section" discussed below may be termed a "second element", "second component" , "second area", "second layer" and/or "second part" without departing from the spirit and teachings of the present invention.

另外，術語「包含」及/或「包括」指所述特徵、區域、整體、步驟、操作、元件及/或部件的存在，但不排除一個或多個其他特徵、區域、整體、步驟、操作、元件、部件及/或其組合的存在或添加。Additionally, the terms "comprises" and/or "includes" refer to the presence of stated features, regions, integers, steps, operations, elements and/or parts, but do not exclude the presence of one or more other features, regions, integers, steps, operations , elements, parts and/or combinations thereof.

除非另有定義，本發明所使用的所有術語(包括技術和科學術語)具有與本發明所屬技術領域具有通常知識者通常理解的相同含義。可以理解的是，諸如在通常使用的字典中定義的那些術語應當被解釋為具有與它們在相關技術和本發明的上下文中的含義一致的定義，並且將不被解釋為理想化或過度正式的意義，除非本文中明確地這樣定義。Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meanings as commonly understood by one of ordinary skill in the art to which this invention belongs. It is understood that terms such as those defined in commonly used dictionaries should be construed to have definitions consistent with their meanings in the context of the relevant technology and the present invention, and will not be construed as idealistic or overly formal. meaning, unless expressly so defined herein.

在下文中將結合附圖對本發明進行進一步的詳細說明。這些附圖均為簡化的示意圖，僅以示意方式說明本發明的基本結構，因此並不作為對本發明的限定。The present invention will be described in further detail below with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and are therefore not intended to limit the present invention.

請參閱第1圖至第3圖，第1圖為根據本發明一實施例的半自動智慧倉儲管理系統的方塊示意圖；第2圖為根據本發明一實施例的半自動智慧倉儲管理系統之倉儲輔助模組的裝設示意圖；以及，第3圖為根據本發明一實施例的半自動智慧倉儲管理系統之倉儲確認模組的裝設示意圖。Please refer to Figures 1 to 3. Figure 1 is a block diagram of a semi-automatic smart warehousing management system according to an embodiment of the present invention; Figure 2 is a warehousing auxiliary model of a semi-automatic smart warehousing management system according to an embodiment of the present invention. A schematic diagram of the installation of the group; and Figure 3 is a schematic diagram of the installation of the warehouse confirmation module of the semi-automatic smart warehouse management system according to an embodiment of the present invention.

如第1圖至第3圖所繪示，根據本發明實施例提供一種半自動智慧倉儲管理系統1a，其包含雲端控制模組10、倉儲輔助模組20及複數個倉儲確認模組30。其中，雲端控制模組10包含雲端資料庫11及資料庫管理單元12，且雲端資料庫11包含貨品資料庫111，其儲存有對應於倉儲空間40所存放之複數個貨品50的複數個貨品資訊，並且以及資料庫管理單元12，其連接雲端資料庫，以讀取或寫入貨品資料庫111中的貨品資訊。As shown in Figures 1 to 3, a semi-automatic smart warehouse management system 1a is provided according to an embodiment of the present invention, which includes a cloud control module 10, a warehouse assistance module 20 and a plurality of warehouse confirmation modules 30. Among them, the cloud control module 10 includes a cloud database 11 and a database management unit 12, and the cloud database 11 includes a product database 111, which stores a plurality of product information corresponding to a plurality of products 50 stored in the warehouse space 40. , and a database management unit 12, which connects to the cloud database to read or write product information in the product database 111.

並且，倉儲輔助模組20設置於倉儲空間40之入口，倉儲輔助模組20包含第一影像辨識單元21、語音辨識單元22及第一提示單元23。其中，第一影像辨識單元21連接資料庫管理單元12，第一影像辨識單元21對待入倉之貨品50進行影像辨識且產生入倉需求資訊，其中資料庫管理單元12依據入倉需求資訊從貨品資料庫111獲取對應的貨品資訊，並傳輸此貨品資訊至第一提示單元23。語音辨識單元22連接資料庫管理單元12，語音辨識單元22對工作人員輸入之語音進行語音辨識且產生出倉需求資訊，其中資料庫管理單元12依據出倉需求資訊從貨品資料庫111獲取對應的貨品資訊，並傳輸此貨品資訊至第一提示單元23。並且，第一提示單元23連接資料庫管理單元12，以依據對應於出倉需求資訊或者入倉需求資訊的貨品資訊產生第一提示資訊，其可以包含貨品型號、數量、貨品入倉日期、貨品製造日期及倉儲位置等，以透過第一提示資訊輔助工作人員執行出入倉作業。Moreover, the warehousing auxiliary module 20 is disposed at the entrance of the warehousing space 40 . The warehousing auxiliary module 20 includes a first image recognition unit 21 , a voice recognition unit 22 and a first prompt unit 23 . Among them, the first image recognition unit 21 is connected to the database management unit 12. The first image recognition unit 21 performs image recognition on the goods 50 to be warehoused and generates warehousing demand information. The database management unit 12 obtains the warehousing demand information from the goods database 111 based on the warehousing demand information. Corresponding product information is obtained, and the product information is transmitted to the first prompting unit 23. The voice recognition unit 22 is connected to the database management unit 12. The voice recognition unit 22 performs voice recognition on the voice input by the staff and generates out-of-warehouse demand information. The database management unit 12 obtains the corresponding product from the product database 111 based on the out-of-warehouse demand information. product information, and transmit the product information to the first prompting unit 23. Moreover, the first prompt unit 23 is connected to the database management unit 12 to generate the first prompt information based on the product information corresponding to the outbound demand information or the inbound demand information, which may include the product model, quantity, product entry date, and product manufacturing date. and warehousing location, etc., to assist staff in performing warehouse entry and exit operations through the first prompt information.

進一步地，資料庫管理單元12使用諸如支持向量機(Support Vector Machine，SVM)的人工智慧技術對貨品資料庫111中的貨品資訊進行分類，以比較入倉需求資訊或出倉需求資訊與雲端資料庫11之貨品資料庫111中的貨品資訊，進而依據貨品資訊中的時間資訊以先進先出原則從貨品資料庫111獲取對應的貨品資訊。藉此，可以快速且準確地從貨品資料庫111中獲取所需的貨品資訊，並且可以確保貨品在正常的保存期限內銷售，進而控制庫存損耗並降低倉儲成本。Further, the database management unit 12 uses artificial intelligence technology such as Support Vector Machine (SVM) to classify the product information in the product database 111 to compare the warehousing demand information or outbound demand information with the cloud database. 11. The product information in the product database 111 is then used to obtain the corresponding product information from the product database 111 based on the time information in the product information on a first-in, first-out basis. In this way, the required product information can be quickly and accurately obtained from the product database 111, and the products can be ensured to be sold within the normal shelf life, thereby controlling inventory loss and reducing warehousing costs.

此外，資料庫管理單元12可以設置有一庫存管理模型121，其利用人工智慧之機器學習對貨品資料庫111中的貨品資訊進行資料處理，以獲取關於庫存資料的預測性數據。並且，資料庫管理單元12連接於一庫存管理操作端(圖中未繪示出)，其用於供工作人員進行操作以對庫存管理模型121的參數進行設定，並且用於供工作人員確認庫存管理模型121的資料處理結果。具體地，資料庫管理單元12首先獲取預設貨品入倉量參數及貨品出倉量參數。In addition, the database management unit 12 may be provided with an inventory management model 121 that uses machine learning of artificial intelligence to process the product information in the product database 111 to obtain predictive data about inventory data. Moreover, the database management unit 12 is connected to an inventory management operation terminal (not shown in the figure), which is used for staff to operate to set parameters of the inventory management model 121, and is used for staff to confirm the inventory. The data processing results of the management model 121. Specifically, the database management unit 12 first obtains the preset goods entry quantity parameters and goods exit quantity parameters.

在本實施例中，資料庫管理單元12獲取預設貨品入倉量參數及貨品出倉量參數的方式可以為，例如透過讀取雲端資料庫11之貨品資料庫111而獲得。也就是說，預設貨品採購量參數在本實施中可以為預先輸入並儲存於貨品資料庫111中，但本發明不限定於此。在其他實施例中，預設貨品入倉量參數及貨品出倉量參數可以為，例如資料庫管理單元12從諸如貨品採購管理系統或者貨品銷售管理系統等其他的電腦裝置接收而獲得的。In this embodiment, the database management unit 12 may obtain the default goods entry quantity parameters and goods exit quantity parameters, for example, by reading the goods database 111 of the cloud database 11 . That is to say, the preset product purchase quantity parameters may be input in advance and stored in the product database 111 in this implementation, but the invention is not limited thereto. In other embodiments, the preset goods entry quantity parameters and goods exit quantity parameters may be, for example, received by the database management unit 12 from other computer devices such as a goods purchase management system or a goods sales management system.

進一步地，在本實施例中，預設貨品入倉量參數及貨品出倉量參數包含特定種類(例如，型號及顏色等)之貨品(例如，運動鞋)的入倉及出倉數量(例如，5000雙)。其中，預設貨品入倉量參數的數值可以透過人為操作而預先設定，也可以透過電腦演算法而自動設定。Further, in this embodiment, the preset goods entry quantity parameters and goods exit quantity parameters include the entry and exit quantities (e.g., 5000) of goods (e.g., sports shoes) of a specific type (e.g., model and color, etc.) pair). Among them, the values of the default goods entry quantity parameters can be preset through manual operation, or can be automatically set through computer algorithms.

在資料庫管理單元12獲取上述預設貨品入倉量參數及貨品出倉量參數後，資料庫管理單元12將預設貨品入倉量參數及貨品出倉量參數輸入至庫存管理模型121，並藉由載入並運行庫存管理模型121，以根據預設貨品入倉量參數、貨品出倉量參數及貨品資料庫111所儲存的當前貨品庫存量參數進行資料處理，以計算出對應於預設貨品入倉量的建議貨品入倉量，並且庫存管理操作端顯示此建議貨品入倉量以供工作人員參考。After the database management unit 12 obtains the above-mentioned preset goods inbound quantity parameters and goods outbound quantity parameters, the database management unit 12 inputs the preset goods inbound quantity parameters and goods outbound quantity parameters into the inventory management model 121, and uses Load and run the inventory management model 121 to perform data processing based on the preset goods inbound quantity parameters, goods outbound quantity parameters and the current goods inventory parameters stored in the goods database 111 to calculate the corresponding preset goods inbound quantity. The recommended quantity of goods to be put into storage, and the inventory management operation terminal displays this recommended quantity of goods to be put into storage for staff reference.

此外，由於預設貨品入倉量參數的數值可以透過人為操作而預先設定，或者可以透過電腦演算法而自動設定，因此廠商或者電腦演算法可以根據當前的市場情況調整預設貨品入倉量，進而適當的調整庫存管理模型121所計算出的建議貨品入倉量。In addition, since the value of the default goods warehousing quantity parameter can be preset through human operation, or can be automatically set through a computer algorithm, the manufacturer or computer algorithm can adjust the default goods warehousing quantity according to the current market conditions, and then appropriately The recommended inventory quantity of goods calculated by adjusting the inventory management model 121.

進一步地，資料庫管理單元12可以將貨品出倉量參數輸入至庫存管理模型121，且庫存管理模型121可以根據貨品出倉量參數及貨品資料庫111所儲存的當前貨品庫存量參數以計算出對應的預測庫存量，且判斷預測庫存量是否低於安全庫存量。並且，當預測庫存量低於安全庫存量時，資料庫管理單元12產生並傳輸一庫存警示通知至庫存管理操作端以提醒相關的工作人員。其中，安全庫存量的數值可以透過人為操作而預先設定，也可以透過電腦演算法而自動設定。藉此，廠商可以維持各貨品的安全庫存，並且可以利用人工智慧之機械學習的資料處理技術以預測各貨品未來的供需面，以高效率地進行庫存管理。Further, the database management unit 12 can input the goods out-of-warehouse quantity parameters into the inventory management model 121, and the inventory management model 121 can calculate the goods out-of-warehouse quantity parameters according to the goods out-of-warehouse quantity parameters and the current goods inventory quantity parameters stored in the goods database 111. Corresponding forecast inventory, and determine whether the forecast inventory is lower than the safety stock. Furthermore, when the predicted inventory level is lower than the safety stock level, the database management unit 12 generates and transmits an inventory warning notification to the inventory management operation terminal to alert relevant staff. Among them, the value of the safety stock can be preset through human operation or automatically set through computer algorithms. Through this, manufacturers can maintain safety inventories of each product, and can use artificial intelligence and machine learning data processing technology to predict the future supply and demand of each product to conduct inventory management efficiently.

此外，複數個倉儲確認模組30分別設置於倉儲空間40內的各貨架41，各倉儲確認模組30包含第二影像辨識單元31及第二提示單元32。其中，第二影像辨識單元31連接資料庫管理單元12，且第二影像辨識單元31在工作人員執行出入倉作業時，對工作人員移入至貨架41上或者從貨架41移出之貨品50進行影像辨識以產生貨品出入倉資訊。並且，資料庫管理單元12依據貨品出入倉資訊從貨品資料庫111獲取對應的貨品資訊，且判斷貨品出入倉資訊與上述倉儲輔助模組20產生之第一提示資訊是否相符合，並根據判斷結果產生且傳輸判斷訊號至第二提示單元32。並且，第二提示單元32連接資料庫管理單元12，以依據判斷訊號產生第二提示資訊，以提示工作人員貨品是否放置正確或者是否拿取正確的貨品。並且，在確認工作人員正確地完成出入倉作業後，資料庫管理單元12依據上述由倉儲確認模組30產生的貨品出入倉資訊以變更貨品資料庫111所儲存之的貨品資訊。In addition, a plurality of storage confirmation modules 30 are respectively installed on each shelf 41 in the storage space 40 , and each storage confirmation module 30 includes a second image recognition unit 31 and a second prompt unit 32 . Among them, the second image recognition unit 31 is connected to the database management unit 12, and when the staff performs the warehouse entry and exit operations, the second image recognition unit 31 performs image recognition on the goods 50 that the staff moves into or out of the shelf 41. To generate goods entry and exit information. Furthermore, the database management unit 12 obtains corresponding product information from the product database 111 based on the goods entry and exit information, and determines whether the goods entry and exit information is consistent with the first prompt information generated by the above-mentioned warehousing auxiliary module 20, and based on the judgment result Generate and transmit the judgment signal to the second prompt unit 32 . Furthermore, the second prompt unit 32 is connected to the database management unit 12 to generate second prompt information based on the judgment signal to prompt the staff whether the goods are placed correctly or whether the correct goods are picked up. Moreover, after confirming that the staff has correctly completed the warehouse entry and exit operations, the database management unit 12 changes the product information stored in the product database 111 based on the goods entry and exit information generated by the warehousing confirmation module 30 .

具體地，本發明之半自動智慧倉儲管理系統1a中的貨品50為可以容置有各種物件的容器，其中容器及其所容置之物件的種類及形狀並沒有特別的限制。在貨品50的外側設置有識別資訊51以供倉儲輔助模組20之第一影像辨識單元21及倉儲確認模組30之第二影像辨識單元31進行辨識。在本實施例中，識別資訊51包含供第一影像辨識單元21及第二影像辨識單元31辨識的條碼，使得第一影像辨識單元21及第二影像辨識單元31可以利用影像辨識手段辨識貨品50上的識別資訊51，並且資料庫管理單元12依據識別資訊51的識別結果讀取貨品資料庫111中對應的貨品資訊。其中，貨品資訊可以包含型號資訊、數量資訊及時間資訊，由於貨品50內可以包含不同種類及數量的物件，因此型號資訊可以包含貨品50中各物件的名稱、種類及型號，且數量資訊可以包含貨品50中各物件的數量，並且時間資訊可以包含貨品50中各物件的生產日期及倉儲日期等詳細資訊。並且，在貨品50的識別資訊51上除了可以設置有用於影像辨識的條碼之外，更可以以文字標示此貨品50的型號資訊、數量資訊及時間資訊，例如貨品50的商品名、顏色、型號、數量、入倉日期及生產日期等，以使工作人員在進行出入倉作業時可以利用肉眼執行進一步的確認。Specifically, the goods 50 in the semi-automatic smart warehouse management system 1a of the present invention are containers that can contain various objects, and the types and shapes of the containers and the objects they contain are not particularly limited. Identification information 51 is provided on the outside of the goods 50 for identification by the first image recognition unit 21 of the warehousing auxiliary module 20 and the second image recognition unit 31 of the warehousing confirmation module 30 . In this embodiment, the identification information 51 includes a barcode for the first image recognition unit 21 and the second image recognition unit 31 to recognize, so that the first image recognition unit 21 and the second image recognition unit 31 can identify the goods 50 using image recognition means. The identification information 51 on the product database 111 is read, and the database management unit 12 reads the corresponding product information in the product database 111 based on the recognition result of the identification information 51 . Among them, the product information can include model information, quantity information and time information. Since the product 50 can contain different types and quantities of objects, the model information can include the name, type and model of each object in the product 50, and the quantity information can include The quantity of each item in the item 50, and the time information can include detailed information such as the production date and storage date of each item in the item 50. Moreover, in addition to the barcode used for image recognition, the identification information 51 of the product 50 can be set with text to indicate the model information, quantity information and time information of the product 50, such as the product name, color, and model of the product 50. , quantity, warehousing date and production date, etc., so that staff can use the naked eye to perform further confirmation when performing warehousing operations.

此外，當倉儲輔助模組20之第一影像辨識單元21及倉儲確認模組30之第二影像辨識單元31透過影像辨識檢測到貨品50的存在，但由於貨品50的識別資訊51受到遮蔽，使得第一影像辨識單元21及第二影像辨識單元31無法對貨品50的識別資訊51進行影像辨識時，倉儲輔助模組20之第一提示單元23及倉儲確認模組30之第二提示單元32可以產生提示訊息以提醒工作人員。並且，工作人員可以透過重新擺放貨品50以使貨品50的識別資訊51朝向外側，使得第一影像辨識單元21與第二影像辨識單元31可以順利地完成影像辨識，並且資料庫管理單元12可以獲取對應的貨品資訊，以繼續執行出入倉作業。In addition, when the first image recognition unit 21 of the warehousing auxiliary module 20 and the second image recognition unit 31 of the warehousing confirmation module 30 detect the presence of the goods 50 through image recognition, the identification information 51 of the goods 50 is obscured, so that When the first image recognition unit 21 and the second image recognition unit 31 cannot perform image recognition on the identification information 51 of the goods 50 , the first prompt unit 23 of the warehousing assistance module 20 and the second prompt unit 32 of the warehousing confirmation module 30 can Generate reminder messages to alert staff. Moreover, the staff can rearrange the goods 50 so that the identification information 51 of the goods 50 faces outside, so that the first image recognition unit 21 and the second image recognition unit 31 can successfully complete the image recognition, and the database management unit 12 can Obtain the corresponding product information to continue the warehouse entry and exit operations.

在本實施例中，第一提示單元23包含第一發光元件231、第一聲音元件232及第一顯示元件233，且第一提示資訊包含發光訊息、聲音訊息及顯示訊息。並且，第二提示單元32包含第二發光元件321及第二聲音元件322，且第二提示資訊分別包含發光訊息及聲音訊息，但本發明不限定於此。在其他實施例中，第一提示單元及第二提示單元可以分別包含選自於發光元件、聲音元件及顯示元件所組成之群組中的至少一者，且第一提示資訊及第二提示資訊可以分別包含對應的發光訊息、聲音訊息或顯示訊息，使用者可以根據實際需求任意地配置第一提示單元及第二提示單元所包含的元件，例如第一提示單元可以僅包含第一聲音元件，且第二提示單元可以包含第二發光元件及第二聲音元件，並且進一步包含第二顯示元件。In this embodiment, the first prompt unit 23 includes a first light-emitting element 231, a first sound element 232 and a first display element 233, and the first prompt information includes a light-emitting message, a sound message and a display message. Furthermore, the second prompt unit 32 includes a second light-emitting element 321 and a second sound element 322, and the second prompt information includes a light-emitting message and a sound message respectively, but the invention is not limited thereto. In other embodiments, the first prompt unit and the second prompt unit may respectively include at least one selected from the group consisting of light-emitting components, sound components, and display components, and the first prompt information and the second prompt information They can respectively include corresponding luminous messages, sound messages or display messages. The user can arbitrarily configure the components included in the first prompt unit and the second prompt unit according to actual needs. For example, the first prompt unit can only include the first sound component. And the second prompt unit may include a second light-emitting element and a second sound element, and further include a second display element.

具體來說，使用本發明之半自動智慧倉儲管理系統1a以執行入倉作業的具體流程如下所述，其中當工作人員進行入倉作業時，工作人員推送待入倉之貨品50至倉儲空間40之入口，倉儲輔助模組20之第一影像辨識單元21對待入倉之貨品50的識別資訊51(即，條碼)進行影像辨識以產生入倉需求資訊，且資料庫管理單元12依據識別資訊51的識別結果(即，入倉需求資訊)從貨品資料庫111讀取對應的貨品資訊，以傳輸對應的貨品資訊至倉儲輔助模組20之第一提示單元23。其中，當第一提示單元23從資料庫管理單元12接收到貨品資訊時，第一提示單元23的第一發光元件231可以產生綠光作為發光訊息，且第一聲音元件232可以產生對應於貨品資訊的語音以作為聲音訊息，並且第一顯示元件233可以顯示對應於貨品資訊的文字作為顯示訊息。其中，貨品資訊可以為例如貨品的型號、數量、製造日期及應放置的貨架編號等，以透過上述第一發光元件231、第一聲音元件232及第一顯示元件233所產生之提示訊息作為第一提示資訊。Specifically, the specific process of using the semi-automatic smart warehousing management system 1a of the present invention to perform warehousing operations is as follows. When the staff performs the warehousing operation, the staff pushes the goods 50 to be warehoused to the entrance of the storage space 40, and the warehouse The first image recognition unit 21 of the auxiliary module 20 performs image recognition on the identification information 51 (i.e., barcode) of the goods 50 to be warehoused to generate warehousing requirement information, and the database management unit 12 based on the recognition result of the identification information 51 (i.e., Warehouse demand information) reads the corresponding product information from the product database 111 to transmit the corresponding product information to the first prompt unit 23 of the warehousing auxiliary module 20. Among them, when the first prompt unit 23 receives product information from the database management unit 12, the first light-emitting element 231 of the first prompt unit 23 can generate green light as a light-emitting message, and the first sound element 232 can generate a message corresponding to the product. The voice of the information is used as the sound message, and the first display element 233 can display text corresponding to the product information as the display message. The product information may be, for example, the product model, quantity, manufacturing date and shelf number where it should be placed, etc. The prompt message generated through the first light-emitting element 231, the first sound element 232 and the first display element 233 is used as the third A prompt information.

進一步地，當工作人員依據第一提示資訊將貨品50放置到預定的貨架41時，倉儲確認模組30之第二影像辨識單元31對放置到貨架41上的貨品50的識別資訊51進行影像辨識，且資料庫管理單元12依據識別資訊51的識別結果從貨品資料庫111讀取對應的貨品資訊以產生貨品出入倉資訊。並且，資料庫管理單元12比對上述第一提示資訊與出入倉資訊是否相符合，以產生並傳輸判斷訊號至倉儲確認模組30之第二提示單元32。其中，當第二提示單元32從資料庫管理單元12接收到比對結果相符合的判斷訊號時，第二提示單元32的第二發光元件321產生綠光作為發光訊息，並且當第二提示單元32從資料庫管理單元12接收到比對結果不相符的判斷訊號時，其第二發光元件321可以產生紅光作為發光訊息，且第二聲音元件322可以產生與上述第一提示資訊相同的對應於貨品資訊的語音以作為聲音訊息。其中，出入倉資訊可以為例如貨品的型號、數量、製造日期及應放置的貨架編號等，以透過上述第二發光元件321及第二聲音元件322所產生之提示訊息作為第二提示資訊，從而確保工作人員正確地執行出入倉作業。Further, when the staff places the goods 50 on the predetermined shelf 41 according to the first prompt information, the second image recognition unit 31 of the storage confirmation module 30 performs image recognition on the identification information 51 of the goods 50 placed on the shelf 41 , and the database management unit 12 reads the corresponding product information from the product database 111 according to the recognition result of the identification information 51 to generate the product entry and exit information. Furthermore, the database management unit 12 compares whether the above-mentioned first prompt information matches the entry and exit information to generate and transmit a judgment signal to the second prompt unit 32 of the warehousing confirmation module 30 . Among them, when the second prompting unit 32 receives a judgment signal that the comparison result is consistent from the database management unit 12, the second light-emitting element 321 of the second prompting unit 32 generates green light as a luminous message, and when the second prompting unit 32 32 When receiving a judgment signal from the database management unit 12 that the comparison results are inconsistent, its second light-emitting element 321 can generate red light as a light-emitting message, and the second sound element 322 can generate the same response as the above-mentioned first prompt information. The voice of product information is used as an audio message. Among them, the warehouse entry and exit information can be, for example, the model, quantity, manufacturing date and shelf number of the goods, etc., and the prompt message generated through the above-mentioned second light-emitting element 321 and the second sound element 322 is used as the second prompt information, so as to Ensure staff perform entry and exit operations correctly.

值得一提的是，在本實施例中，第一提示單元23的第一顯示元件233僅具有顯示對應於貨品資訊的文字以作為顯示訊息之功能，但本發明不限定於此。在其他實施例中，第一顯示元件可以為人機介面，使其除了可以顯示文字作為顯示訊息之外，更可以供工作人員手動輸入其出倉需求以產生對應的出倉需求資訊，或者供工作人員手動查詢雲端資料庫之貨品資料庫中的貨品資訊以獲得庫存資料。It is worth mentioning that in this embodiment, the first display element 233 of the first prompt unit 23 only has the function of displaying text corresponding to the product information as a display message, but the invention is not limited to this. In other embodiments, the first display element can be a human-machine interface, so that in addition to displaying text as a display message, the first display element can also be used for staff to manually input their warehouse exit requirements to generate corresponding warehouse exit demand information, or to provide Staff manually query the product information in the product database of the cloud database to obtain inventory information.

其中，當工作人員進行出倉作業時，可以透過倉儲輔助模組20的語音辨識單元22輸入出倉需求，使得第一提示單元23及第二提示單元32可以透過與上述執行入倉作業的實施方式類似的方式以提供對應的第一提示資訊及第二提示資訊，進而輔助工作人員順利地執行出倉作業。並且，在倉儲確認模組30確認工作人員正確地完成入倉或出倉作業後，資料庫管理單元12依據上述貨品出入倉資訊變更貨品資料庫111所儲存之的貨品資訊。Among them, when the staff performs the warehouse entry operation, they can input the warehouse exit requirement through the voice recognition unit 22 of the warehousing auxiliary module 20, so that the first prompt unit 23 and the second prompt unit 32 can perform the warehouse entry operation through the above implementation. A similar method is provided to provide corresponding first prompt information and second prompt information, thereby assisting the staff to smoothly perform the warehouse exit operation. Moreover, after the warehousing confirmation module 30 confirms that the staff has correctly completed the warehouse entry or exit operations, the database management unit 12 changes the product information stored in the product database 111 based on the above-mentioned goods entry and exit information.

此外，上述雲端控制模組10、倉儲輔助模組20及倉儲確認模組30之間透過無線通訊方式連接，在本實施例中，倉儲輔助模組20及倉儲確認模組30皆利用WiFi以與雲端控制模組10無線連接，但本發明不限定於此。在其他實施例中，雲端控制模組、倉儲輔助模組及倉儲確認模組之間的無線通訊方式可以為選自於窄頻物聯網、3G、4G、5G、長期演進技術(Long Term Evolution，LTE)、無線射頻通訊、紅外線通訊、藍芽、Zigbee、Z-Wave及DECT-ULE所組成之群組中的至少一者。In addition, the above-mentioned cloud control module 10, warehousing auxiliary module 20 and warehousing confirmation module 30 are connected through wireless communication. In this embodiment, the warehousing auxiliary module 20 and the warehousing confirmation module 30 both use WiFi to communicate with each other. The cloud control module 10 is connected wirelessly, but the present invention is not limited thereto. In other embodiments, the wireless communication method between the cloud control module, the warehousing assistance module and the warehousing confirmation module may be selected from the group consisting of narrowband Internet of Things, 3G, 4G, 5G, and Long Term Evolution. At least one of the group consisting of LTE), wireless radio frequency communication, infrared communication, Bluetooth, Zigbee, Z-Wave and DECT-ULE.

藉此，本發明之半自動智慧倉儲管理系統1a可以在不更動倉儲設備之主結構下以附加的方式結合於倉儲空間40之倉儲設備上。舉例來說，僅需在倉儲空間40之入口處設置諸如攝影機的影像擷取元件311以作為第一影像辨識單元21，且設置諸如麥克風的音訊擷取裝置以作為語音辨識單元22，並且設置諸如LED發光二極體、喇叭及顯示螢幕等裝置以作為第一提示單元23，即可完成倉儲輔助模組20的設置。同樣地，僅需在倉儲空間40內的各貨架41分別設置諸如攝影機的影像擷取元件311，或者在倉儲空間40中央設置諸如全景攝影機的影像擷取元件311以作為第二影像辨識單元31，並且設置諸如LED發光二極體及喇叭等裝置以作為第二提示單元32，即可完成倉儲確認模組30的設置。並且，僅需透過無線通訊方式以連接雲端控制模組10與倉儲輔助模組20及倉儲確認模組30，即可完成本發明之半自動智慧倉儲管理系統1a的設置。因此，相較於習知的自動倉儲管理系統，本發明之半自動智慧倉儲管理系統1a無需額外進行配線、配管等作業，而可以在不更動倉儲設備之主結構進行設置，且其設置成本較為低廉。Thereby, the semi-automatic smart warehouse management system 1a of the present invention can be combined with the storage equipment of the storage space 40 in an additional manner without changing the main structure of the storage equipment. For example, it is only necessary to set up an image capturing element 311 such as a camera as the first image recognition unit 21 at the entrance of the storage space 40, and set up an audio capturing device such as a microphone as the voice recognition unit 22, and set up such as Devices such as LED light-emitting diodes, speakers, and display screens are used as the first prompt unit 23 to complete the setting of the storage auxiliary module 20. Similarly, it is only necessary to set up an image capturing element 311 such as a camera on each shelf 41 in the storage space 40, or to set up an image capturing element 311 such as a panoramic camera in the center of the storage space 40 as the second image recognition unit 31. And by setting devices such as LED light-emitting diodes and speakers as the second prompt unit 32, the setting of the warehousing confirmation module 30 can be completed. Moreover, the setting of the semi-automatic smart warehouse management system 1a of the present invention can be completed by simply connecting the cloud control module 10, the warehousing auxiliary module 20 and the warehousing confirmation module 30 through wireless communication. Therefore, compared with the conventional automatic warehouse management system, the semi-automatic smart warehouse management system 1a of the present invention does not require additional wiring, piping and other operations, and can be installed without changing the main structure of the storage equipment, and its installation cost is relatively low. .

請參閱第4圖，第4圖為根據本發明另一實施例的半自動智慧倉儲管理系統的方塊示意圖。Please refer to Figure 4. Figure 4 is a block diagram of a semi-automatic smart warehouse management system according to another embodiment of the present invention.

如第4圖所繪示，根據本發明的另一實施例提供一種半自動智慧倉儲管理系統1b，其同樣包含雲端控制模組10、倉儲輔助模組20及複數個倉儲確認模組30。其中，雲端控制模組10同樣包含雲端資料庫11及資料庫管理單元12，而資料庫管理單元12儲存有庫存管理模型121，且倉儲輔助模組20同樣包含第一影像辨識單元21、語音辨識單元22及第一提示單元23，並且倉儲確認模組30同樣包含第二影像辨識單元31及第二提示單元32，上述各構成元件的具體功能及配置如第一實施例中所述，在此不再贅述。As shown in Figure 4, according to another embodiment of the present invention, a semi-automatic smart warehouse management system 1b is provided, which also includes a cloud control module 10, a warehouse assistance module 20 and a plurality of warehouse confirmation modules 30. Among them, the cloud control module 10 also includes a cloud database 11 and a database management unit 12, and the database management unit 12 stores an inventory management model 121, and the warehousing auxiliary module 20 also includes a first image recognition unit 21, a voice recognition unit Unit 22 and first prompt unit 23, and the warehousing confirmation module 30 also includes a second image recognition unit 31 and a second prompt unit 32. The specific functions and configurations of each of the above components are as described in the first embodiment. Here No more details.

值得一提的是，在本實施例中，雲端資料庫11除了包含貨品資料庫111之外，更包含身分資料庫112，其儲存有對應於複數個工作人員的複數個身分資訊。其中，第一影像辨識單元21對位於倉儲空間之入口的工作人員進行影像辨識，以使資料庫管理單元12從身分資料庫112獲取工作人員之身分資訊，並於確認工作人員之身分資訊時允許此工作人員進入倉儲空間，且第一提示單元23產生對應於入倉需求資訊或者出倉需求資訊的第一提示資訊。並且，資料庫管理單元12儲存有對應於各次出入倉作業的本發明之半自動智慧倉儲管理系統1b的操作紀錄資料，其包含執行操作之工作人員的身分資訊以及對應的貨品資訊。It is worth mentioning that in this embodiment, in addition to the product database 111, the cloud database 11 also includes an identity database 112, which stores a plurality of identity information corresponding to a plurality of staff. Among them, the first image recognition unit 21 performs image recognition on the staff located at the entrance of the warehouse space, so that the database management unit 12 obtains the identity information of the staff from the identity database 112, and allows the identity information of the staff to be confirmed when confirming the identity information of the staff. This worker enters the warehousing space, and the first prompting unit 23 generates first prompting information corresponding to the warehousing demand information or the warehousing demand information. In addition, the database management unit 12 stores operation record data of the semi-automatic smart warehouse management system 1b of the present invention corresponding to each entry and exit operation, which includes the identity information of the staff who performed the operation and the corresponding product information.

具體來說，使用本發明之半自動智慧倉儲管理系統1b以執行入倉作業的具體流程如下所述，並且在本實施例中，將以本發明之半自動智慧倉儲管理系統1b應用於製鞋廠的倉庫作為實施例進行詳細說明。首先，工作人員推送待入倉之貨品至倉儲空間的入口，並且貨品中包含特定數量及型號的鞋子。其中，倉儲輔助模組20之第一影像辨識單元21對工作人員進行人臉影像辨識，以依據人臉影像辨識的辨識結果從雲端資料庫11之身分資料庫112獲取對應的身分資訊，進而確認工作人員的身分，使得第一提示單元23的第一發光元件231產生綠光以作為發光訊息，且第一聲音元件232產生持續一秒的預定音樂以作為聲音訊息。其中，若資料庫管理單元12在身分資料庫112中查無此工作人員的身分資訊，則使得第一提示單元23的第一發光元件231產生紅光以作為發光訊息，且第一聲音元件232產生持續一秒的蜂鳴聲以作為聲音訊息，並且第一提示單元23可以進一步傳送警示訊息至外部裝置，例如半自動智慧倉儲管理系統1b之管理人員的行動裝置，以提醒管理人員有非預期的人員欲進入至倉儲空間中，但本發明不限定於此。在其他實施例中，第一提示單元的第一發光元件及第一聲音元件可以根據使用者的設定產生不同種類的發光訊息及聲音訊息。Specifically, the specific process of using the semi-automatic smart warehousing management system 1b of the present invention to perform warehousing operations is as follows. In this embodiment, the semi-automatic smart warehousing management system 1b of the present invention is applied to the warehouse of a shoe factory. Detailed description will be given as an example. First, the staff pushes the goods to be warehoused to the entrance of the storage space, and the goods contain a specific number and model of shoes. Among them, the first image recognition unit 21 of the warehousing auxiliary module 20 performs face image recognition on the staff, and obtains the corresponding identity information from the identity database 112 of the cloud database 11 based on the recognition results of the face image recognition, and then confirms The identity of the staff causes the first light-emitting element 231 of the first prompt unit 23 to generate green light as a light-emitting message, and the first sound element 232 to generate predetermined music lasting one second as a sound message. Among them, if the database management unit 12 does not find the identity information of this staff member in the identity database 112, the first light-emitting element 231 of the first prompting unit 23 generates red light as a light-emitting message, and the first sound element 232 A buzzer that lasts for one second is generated as an audio message, and the first prompt unit 23 can further send a warning message to an external device, such as the mobile device of the manager of the semi-automatic smart warehouse management system 1b, to remind the manager of unexpected events. Personnel wants to enter the storage space, but the invention is not limited thereto. In other embodiments, the first light-emitting element and the first sound element of the first prompt unit can generate different types of light-emitting messages and sound messages according to the user's settings.

進一步地，第一影像辨識單元21可以包含複數個影像擷取元件，以在對工作人員執行人臉影像辨識的同時，對貨品上的識別資訊執行影像辨識且產生入倉需求資訊，且資料庫管理單元12依據識別資訊的識別結果(即，入倉需求資訊)從貨品資料庫111讀取對應的貨品資訊，以傳輸對應的貨品資訊至倉儲輔助模組20之第一提示單元23，使得第一提示單元23產生對應的第一提示資訊，其可以包含貨品的型號資訊(例如，鞋子的型號、商品名、種類及顏色等)、數量資訊(例如，30雙)及時間資訊(例如，鞋子的入倉日期及生產日期等)以及其入倉位置(例如，第三貨架的第二層)。其中，第一提示單元23可以透過第一聲音元件232以語音的形式提供聲音訊息，並且可以透過第一顯示元件233以螢幕顯示文字的形式提供顯示訊息，以提供包含聲音訊息及顯示訊息的第一提示資訊。Further, the first image recognition unit 21 may include a plurality of image capture components to perform face image recognition on the staff and at the same time perform image recognition on the identification information on the goods and generate warehousing demand information, and database management The unit 12 reads the corresponding product information from the product database 111 according to the identification result of the identification information (ie, warehousing demand information), and transmits the corresponding product information to the first prompt unit 23 of the warehousing auxiliary module 20, so that the first prompt Unit 23 generates corresponding first prompt information, which may include model information of the product (for example, shoe model, product name, type and color, etc.), quantity information (for example, 30 pairs) and time information (for example, warehousing of shoes) date and production date, etc.) and its storage location (for example, the second level of the third shelf). Among them, the first prompting unit 23 can provide sound information in the form of voice through the first sound element 232, and can provide display information in the form of screen display text through the first display element 233, so as to provide a third message including the sound message and the display message. A prompt information.

並且，工作人員進入至倉儲空間中，並依據第一提示資訊將貨品放置於對應的貨架，且設置於貨架的倉儲確認模組30的第二影像辨識單元31對工作人員所放置的貨品上的識別資訊進行影像辨識，且資料庫管理單元12依據識別資訊的識別結果從貨品資料庫111讀取對應的貨品資訊以產生貨品出入倉資訊，並且比對貨品出入倉資訊與上述倉儲輔助模組所產生之第一提示資訊，以根據比對結果產生並傳輸一判斷訊號至第二提示單元32。其中，當比對結果為相符時，第二提示單元32的第二發光元件321產生綠光以作為發光訊息，當比對結果為不相符時，第二提示單元32的第二發光元件321產生紅光以作為發光訊息，且第二聲音元件322以語音的形式提供對應於正確的貨品入倉位置的聲音訊息，進而提供包含發光訊息及聲音訊息的第二提示資訊。並且，在倉儲確認模組30確認工作人員正確地完成入倉作業後，資料庫管理單元12依據上述貨品出入倉資訊變更貨品資料庫111所儲存之的貨品資訊，並且儲存本次入倉作業的操作紀錄資料，其包含執行本次入倉作業之工作人員的身分資訊以及對應的貨品資訊。Furthermore, the staff enters the storage space and places the goods on the corresponding shelf according to the first prompt information, and the second image recognition unit 31 of the storage confirmation module 30 provided on the shelf detects the images on the goods placed by the staff. The identification information is used for image recognition, and the database management unit 12 reads the corresponding product information from the product database 111 according to the recognition result of the identification information to generate the goods entry and exit information, and compares the goods entry and exit information with the above-mentioned warehousing auxiliary module. The first prompt information is generated to generate and transmit a judgment signal to the second prompt unit 32 according to the comparison result. When the comparison result is consistent, the second light-emitting element 321 of the second prompt unit 32 generates green light as a light-emitting message; when the comparison result is inconsistent, the second light-emitting element 321 of the second prompt unit 32 generates green light. The red light is used as the luminous message, and the second sound component 322 provides the sound message corresponding to the correct goods entry position in the form of voice, and then provides the second prompt information including the luminous message and the sound message. Moreover, after the warehousing confirmation module 30 confirms that the staff has correctly completed the warehousing operation, the database management unit 12 changes the goods information stored in the goods database 111 based on the above-mentioned goods entry and exit information, and stores the operation record of this warehousing operation. Data, which includes the identity information of the staff who performed this warehousing operation and the corresponding product information.

另一方面，使用本發明之半自動智慧倉儲管理系統1b以執行出倉作業的具體流程如下所述，並且在本實施例中同樣以本發明之半自動智慧倉儲管理系統1b應用於製鞋廠的倉庫作為實施例進行詳細說明。首先，工作人員移動至倉儲空間的入口，且倉儲輔助模組20之第一影像辨識單元21對工作人員進行人臉影像辨識，以使資料庫管理單元12依據人臉影像辨識的辨識結果從雲端資料庫11之身分資料庫112獲取對應的身分資訊，進而確認工作人員的身分，使得第一提示單元23的第一發光元件231產生綠光以作為發光訊息，並且第一聲音元件232產生持續一秒的預定音樂以作為聲音訊息。其中，若資料庫管理單元12在身分資料庫112中查無此工作人員的身分資訊，則使得第一提示單元23的第一發光元件231產生紅光以作為發光訊息，且第一聲音元件232產生持續一秒的蜂鳴聲以作為聲音訊息，並且第一提示單元23可以進一步傳送警示訊息至外部裝置，例如半自動智慧倉儲管理系統1b之管理人員的行動裝置，以達到警示及提醒之功效。On the other hand, the specific process of using the semi-automatic intelligent warehousing management system 1b of the present invention to perform the warehouse exit operation is as follows, and in this embodiment, the semi-automatic intelligent warehousing management system 1b of the present invention is also applied to the warehouse of a shoe factory. Detailed description will be given as an example. First, the staff moves to the entrance of the warehousing space, and the first image recognition unit 21 of the warehousing auxiliary module 20 performs face image recognition on the staff, so that the database management unit 12 obtains the facial image recognition from the cloud based on the recognition results of the face image recognition. The identity database 112 of the database 11 obtains the corresponding identity information, and then confirms the identity of the staff member, so that the first light-emitting element 231 of the first prompt unit 23 generates green light as a light-emitting message, and the first sound element 232 generates a continuous sound for a period of time. Seconds of scheduled music as an audio message. Among them, if the database management unit 12 does not find the identity information of this staff member in the identity database 112, the first light-emitting element 231 of the first prompting unit 23 generates red light as a light-emitting message, and the first sound element 232 A buzzer that lasts for one second is generated as an audio message, and the first prompt unit 23 can further send a warning message to an external device, such as a mobile device of a manager of the semi-automatic smart warehouse management system 1b, to achieve warning and reminder effects.

進一步地，在確認工作人員的身分後，工作人員可以對語音辨識單元22說明其出倉需求，例如特定的型號及數量及時間資訊，且語音辨識單元22對工作人員的語音輸入進行語音辨識以產生出倉需求資訊，且資料庫管理單元12依據語音辨識的辨識結果(即，出倉需求資訊)依據先進先出原則從貨品資料庫111讀取對應的貨品資訊。並且，資料庫管理單元12依據傳輸對應的貨品資訊至倉儲輔助模組20之第一提示單元23，使得第一提示單元23產生對應的第一提示資訊，其包含貨品的型號資訊(例如，鞋子的型號、商品名、種類及顏色等)、數量資訊(例如，30雙)及時間資訊(例如，鞋子的生產日期等)以及其倉儲位置(例如，第九貨架的第五層)。其中，第一提示單元23可以透過第一聲音元件232以語音的形式提供聲音訊息，並且可以透過第一顯示元件233以螢幕顯示文字的形式提供顯示訊息，以提供包含聲音訊息及顯示訊息的第一提示資訊。此外，在其他實施例中，第一提示單元的顯示元件可以設置為人機介面，使得工作人員可以透過人機介面手動輸入其出倉需求，以使資料庫管理單元依據此出倉需求從貨品資料庫讀取對應的貨品資訊，或者工作人員可以透過人機介面手動查詢雲端資料庫中的貨品資訊，以了解詳細的庫存情況。Further, after confirming the identity of the staff member, the staff member can explain his/her exit requirements to the voice recognition unit 22, such as a specific model, quantity, and time information, and the voice recognition unit 22 performs voice recognition on the staff member's voice input. Out-of-warehouse demand information is generated, and the database management unit 12 reads the corresponding product information from the product database 111 according to the first-in, first-out principle based on the recognition result of speech recognition (ie, the out-of-warehouse demand information). Furthermore, the database management unit 12 transmits the corresponding product information to the first prompt unit 23 of the warehousing auxiliary module 20, so that the first prompt unit 23 generates corresponding first prompt information, which includes model information of the product (for example, shoes model, product name, type and color, etc.), quantity information (for example, 30 pairs) and time information (for example, the production date of the shoes, etc.) and its storage location (for example, the fifth floor of the ninth shelf). Among them, the first prompting unit 23 can provide sound information in the form of voice through the first sound element 232, and can provide display information in the form of screen display text through the first display element 233, so as to provide a third message including the sound message and the display message. A prompt information. In addition, in other embodiments, the display element of the first prompting unit can be set as a human-machine interface, so that the staff can manually input their out-of-warehouse requirements through the human-machine interface, so that the database management unit can obtain goods from the warehouse based on the out-of-warehouse requirements. The database reads the corresponding product information, or staff can manually query the product information in the cloud database through the human-machine interface to understand detailed inventory conditions.

並且，工作人員進入至倉儲空間中，並依據第一提示資訊在對應的貨架拿取貨品，且設置於貨架的倉儲確認模組30的第二影像辨識單元31對工作人員所拿取的貨品上的識別資訊進行影像辨識，且資料庫管理單元12依據識別資訊的識別結果從貨品資料庫111讀取對應的貨品資訊以產生貨品出入倉資訊。並且，資料庫管理單元12比對上述第一提示資訊與貨品出入倉資訊，並根據比對結果產生並傳輸一判斷訊號至第二提示單元32。其中，當比對結果為相符時，第二提示單元32的第二發光元件321產生綠光以作為發光訊息，當比對結果為不相符時，第二提示單元32的第二發光元件321產生紅光以作為發光訊息，且第二聲音元件322以語音的形式提供對應於正確的貨品倉儲位置的聲音訊息，進而提供包含發光訊息及聲音訊息的第二提示資訊。並且，在倉儲確認模組30確認工作人員正確地完成出倉作業後，資料庫管理單元12依據上述貨品出入倉資訊變更貨品資料庫111所儲存之的貨品資訊，並且儲存本次出倉作業的操作紀錄資料，其包含執行本次出倉作業之工作人員的身分資訊以及對應的貨品資訊。Moreover, the staff enters the storage space and takes the goods from the corresponding shelf according to the first prompt information, and the second image recognition unit 31 of the storage confirmation module 30 of the shelf detects the goods taken by the staff. The identification information is used for image recognition, and the database management unit 12 reads corresponding product information from the product database 111 based on the recognition result of the identification information to generate product entry and exit information. Furthermore, the database management unit 12 compares the above-mentioned first prompt information with the goods entry and exit information, and generates and transmits a judgment signal to the second prompt unit 32 according to the comparison result. When the comparison result is consistent, the second light-emitting element 321 of the second prompt unit 32 generates green light as a light-emitting message; when the comparison result is inconsistent, the second light-emitting element 321 of the second prompt unit 32 generates green light. The red light is used as a luminous message, and the second sound component 322 provides a sound message corresponding to the correct storage location of the goods in the form of voice, thereby providing second prompt information including the luminous message and the sound message. Moreover, after the warehousing confirmation module 30 confirms that the staff has correctly completed the warehouse exit operation, the database management unit 12 changes the goods information stored in the goods database 111 based on the above-mentioned goods entry and exit information, and stores the information of this warehouse exit operation. Operation record data, which includes the identity information of the staff who performed this warehouse exit operation and the corresponding product information.

綜上所述，本發明之半自動智慧倉儲管理系統設置有倉儲輔助模組，當工作人員移動待入倉之貨品至倉儲空間之入口時，倉儲輔助模組的第一影像辨識單元待入倉之貨品進行影像辨識，以透過識別貨品上的識別資訊從雲端資料庫中獲取對應的型號資訊、數量資訊及時間資訊。並且，倉儲輔助模組的第一提示單元透過聲音元件及/或顯示元件以語音訊息及/或顯示訊息的形式提供對應的第一提示資訊，其包含貨品的放置位置，進而輔助工作人員將待入倉之貨品放置到預定位置。To sum up, the semi-automatic smart warehousing management system of the present invention is equipped with a warehousing auxiliary module. When the staff moves the goods to be put into the warehouse to the entrance of the warehousing space, the first image recognition unit of the warehousing auxiliary module performs the process of identifying the goods to be put into the warehouse. Image recognition is used to obtain the corresponding model information, quantity information and time information from the cloud database by identifying the identification information on the goods. Moreover, the first prompt unit of the warehousing auxiliary module provides the corresponding first prompt information in the form of a voice message and/or a display message through a sound component and/or a display component, which includes the placement location of the goods, so that the auxiliary staff will The goods entering the warehouse are placed at the predetermined location.

此外，倉儲輔助模組更設置有語音辨識單元，當工作人員需要進入至倉儲空間拿取貨品時可以對語音辨識單元說明其出倉需求，使得語音辨識單元對工作人員輸入之語音進行語音辨識，以透過語音辨識結果從雲端資料庫中獲取對應的型號資訊、數量資訊及時間資訊及倉儲位置。並且，倉儲輔助模組的第一提示單元同樣透過聲音元件及/或顯示元件以語音訊息及/或顯示訊息的形式提供對應的第一提示資訊，其包含貨品的放置位置，進而輔助工作人員移動至倉儲空間中對應的貨架以拿取所需的貨品。藉由倉儲輔助模組的設置，工作人員在進行入倉作業時，僅需依照根據影像辨識結果所提供的第一提示資訊以執行入倉作業，並將待入倉之貨品放置到預定位置。並且，工作人員在進行出倉作業時，僅需透過語音的方式輸入其出倉需求，並依據語音辨識結果所提供的第一提示資訊以執行出倉作業，從而在對應的貨架拿取貨品，其操作簡便且能有效提升工作人員執行出入倉作業的工作效率。In addition, the warehousing auxiliary module is also equipped with a voice recognition unit. When staff need to enter the warehouse space to pick up goods, they can explain their exit requirements to the voice recognition unit, so that the voice recognition unit can perform voice recognition on the voice input by the staff. The corresponding model information, quantity information, time information and storage location can be obtained from the cloud database through the voice recognition results. Moreover, the first prompt unit of the warehousing auxiliary module also provides corresponding first prompt information in the form of voice messages and/or display messages through sound components and/or display components, which includes the placement location of the goods, thereby assisting staff in moving. Go to the corresponding shelves in the storage space to get the required goods. Through the setting of the warehousing auxiliary module, when performing warehousing operations, staff only need to follow the first prompt information provided based on the image recognition results to carry out the warehousing operations and place the goods to be put into the warehouse at the predetermined location. Moreover, when performing out-of-warehouse operations, staff only need to input their out-of-warehouse requirements through voice, and execute the out-of-warehouse operation based on the first prompt information provided by the voice recognition results, thereby picking up the goods from the corresponding shelves. It is easy to operate and can effectively improve the efficiency of staff in entering and exiting the warehouse.

進一步地，本發明之半自動智慧倉儲管理系統於倉儲空間內的各貨架更設置有倉儲確認模組，當工作人員進入至倉儲空間內的貨架放置貨品或者拿取貨品時，倉儲確認模組的第二影像辨識單元對工作人員所放置或者拿取的貨品進行影像辨識，以透過識別貨品上的識別資訊從雲端資料庫中獲取對應的貨品資訊，並將其與工作人員進入倉儲空間時倉儲輔助模組所產生的第一提示資訊進行比對，以確認工作人員所執行之出入倉作業是否正確。其中，若工作人員所放置或拿取的貨品之型號資訊、數量資訊、時間資訊或位置不正確，則倉儲確認模組的第二提示單元透過發光元件及/或聲音元件以發光訊息及/或聲音訊息的形式提供對應的第二提示資訊，進而提醒工作人員。並且，在確認出入倉作業正確後，雲端控制模組的資料庫管理單元自動更新雲端資料庫中的貨品資訊並且自動儲存此次出入倉作業的操作紀錄資料。Furthermore, the semi-automatic smart warehousing management system of the present invention is further equipped with a storage confirmation module on each shelf in the storage space. When the staff enters the shelf in the storage space to place goods or take out goods, the third part of the storage confirmation module The second image recognition unit performs image recognition on the goods placed or taken by the staff to obtain the corresponding product information from the cloud database by identifying the identification information on the goods, and combines it with the warehousing auxiliary model when the staff enters the warehouse space. The first prompt information generated by the group is compared to confirm whether the entry and exit operations performed by the staff are correct. Among them, if the model information, quantity information, time information or location of the goods placed or picked up by the staff are incorrect, the second prompt unit of the warehouse confirmation module will emit messages and/or through light-emitting elements and/or sound elements. The corresponding second prompt information is provided in the form of an audio message to remind the staff. Moreover, after confirming that the warehouse entry and exit operations are correct, the database management unit of the cloud control module automatically updates the product information in the cloud database and automatically stores the operation record data of the warehouse entry and exit operations.

並且，本發明之半自動智慧倉儲管理系統的各組件之間透過無線通訊方式連接，因此無需額外進行配線、配管等作業，其設置成本較為低廉，並且在設置時無需更動原本的倉儲設備之主結構，可進行實施的場域較為廣泛。Moreover, the various components of the semi-automatic smart warehouse management system of the present invention are connected through wireless communication, so there is no need for additional wiring, piping, etc. The installation cost is relatively low, and there is no need to change the main structure of the original storage equipment during installation. , the field where it can be implemented is relatively wide.

此外，雲端資料庫更可以儲存有工作人員的身分資訊，且倉儲輔助模組的第一影像辨識單元更可以對執行出入倉作業的工作人員執行人臉辨識，其不但可以防止非預期的人員進入至倉儲空間中，本發明之半自動智慧倉儲管理系統的操作紀錄資料更可以登記執行出入倉作業之工作人員，從而有利於倉儲管理系統的管理。In addition, the cloud database can also store the identity information of the staff, and the first image recognition unit of the warehousing auxiliary module can also perform face recognition on the staff performing entry and exit operations, which can not only prevent unexpected personnel from entering In the warehousing space, the operation record data of the semi-automatic smart warehousing management system of the present invention can also register the staff who perform the warehouse entry and exit operations, thereby facilitating the management of the warehouse management system.

藉由上述配置，本發明之半自動智慧倉儲管理系統係用以輔助工作人員執行出入倉作業，使得工作人員在進行貨品的倉儲作業時不需要手動進行紀錄，而可以自動且實時地更新倉儲空間中貨品的貨品資訊，並且可以自動儲存本發明之半自動智慧倉儲管理系統的操作紀錄資料，其有利於後續人員執行倉儲作業。並且，當工作人員需要進入至倉儲空間放置或者拿取貨品時，不需要手動查詢倉儲紀錄，而可以利用倉儲輔助模組以影像辨識或者語音輸入的方式獲取對應的貨品資訊，並依據所獲得的貨品資訊執行出入倉作業。此外，廠商可以利用人工智慧之機器學習的庫存管理模型對庫存資料進行資料處理，除了可以協助維持各貨品的安全庫存，並且可以輔助庫存管理者預估貨品未來的供需面，進而最佳化倉儲管理的效率。因此，本發明之半自動智慧倉儲管理系統有利於提高工作人員的工作效率並且可以提供倉儲資料的預測性數據，從而可以輔助工作人員有效地管理貨品庫存。With the above configuration, the semi-automatic smart warehouse management system of the present invention is used to assist staff in performing warehouse entry and exit operations, so that staff do not need to manually record when performing warehouse operations, but can automatically and real-time update the information in the warehouse space. The product information of the goods can be automatically stored, and the operation record data of the semi-automatic intelligent warehousing management system of the present invention can be automatically stored, which is beneficial to subsequent personnel to perform warehousing operations. Moreover, when staff need to enter the storage space to place or pick up goods, they do not need to manually query the storage records. Instead, they can use the warehousing auxiliary module to obtain the corresponding product information through image recognition or voice input, and based on the obtained Cargo information carries out warehouse entry and exit operations. In addition, manufacturers can use artificial intelligence and machine learning inventory management models to process inventory data. In addition to assisting in maintaining the safety inventory of each product, it can also assist inventory managers to predict the future supply and demand of goods, thereby optimizing warehousing. Management efficiency. Therefore, the semi-automatic smart warehousing management system of the present invention is beneficial to improving the work efficiency of staff and can provide predictive data of warehousing materials, thereby assisting staff to effectively manage product inventory.

1a,1b:半自動智慧倉儲管理系統 10:雲端控制模組 11:雲端資料庫 111:貨品資料庫 112:身分資料庫 12:資料庫管理單元 121:庫存管理模型 20:倉儲輔助模組 21:第一影像辨識單元 22:語音辨識單元 23:第一提示單元 231:第一發光元件 232:第一聲音元件 233:第一顯示元件 30:倉儲確認模組 31:第二影像辨識單元 311:影像擷取元件 32:第二提示單元 321:第二發光元件 322:第二聲音元件 40:倉儲空間 41:貨架 50:貨品 51:識別資訊 1a,1b: Semi-automatic smart warehouse management system 10:Cloud control module 11:Cloud database 111: Product database 112:Identity database 12: Database management unit 121:Inventory Management Model 20: Warehousing auxiliary module 21: First image recognition unit 22: Speech recognition unit 23: First prompt unit 231: First light-emitting element 232: First sound component 233: First display element 30: Warehouse confirmation module 31: Second image recognition unit 311:Image capture component 32: Second prompt unit 321: Second light-emitting element 322: Second sound component 40: Warehouse space 41:Shelf 50: Goods 51:Identification information

第1圖為根據本發明一實施例的半自動智慧倉儲管理系統的方塊示意圖； 第2圖為根據本發明一實施例的半自動智慧倉儲管理系統之倉儲輔助模組的裝設示意圖； 第3圖為根據本發明一實施例的半自動智慧倉儲管理系統之倉儲確認模組的裝設示意圖；以及 第4圖為根據本發明另一實施例的半自動智慧倉儲管理系統的方塊示意圖。 Figure 1 is a block diagram of a semi-automatic smart warehouse management system according to an embodiment of the present invention; Figure 2 is a schematic diagram of the installation of the warehousing auxiliary module of the semi-automatic smart warehousing management system according to an embodiment of the present invention; Figure 3 is a schematic diagram of the installation of the warehouse confirmation module of the semi-automatic smart warehouse management system according to one embodiment of the present invention; and Figure 4 is a block diagram of a semi-automatic smart warehouse management system according to another embodiment of the present invention.

1b:半自動智慧倉儲管理系統 1b: Semi-automatic smart warehouse management system

10:雲端控制模組 10:Cloud control module

11:雲端資料庫 11:Cloud database

111:貨品資料庫 111: Product database

112:身分資料庫 112:Identity database

12:資料庫管理單元 12: Database management unit

121:庫存管理模型 121:Inventory Management Model

20:倉儲輔助模組 20: Warehousing auxiliary module

21:第一影像辨識單元 21: First image recognition unit

22:語音辨識單元 22: Speech recognition unit

23:第一提示單元 23: First prompt unit

231:第一發光元件 231: First light-emitting element

232:第一聲音元件 232: First sound component

233:第一顯示元件 233: First display element

30:倉儲確認模組 30: Warehouse confirmation module

31:第二影像辨識單元 31: Second image recognition unit

311:影像擷取元件 311:Image capture component

32:第二提示單元 32: Second prompt unit

321:第二發光元件 321: Second light-emitting element

322:第二聲音元件 322: Second sound component

Claims (9)

一種半自動智慧倉儲管理系統，其包含：一雲端控制模組，係包含：一雲端資料庫，係包含一貨品資料庫，其儲存有對應於一倉儲空間所存放之複數個貨品的複數個貨品資訊；以及一資料庫管理單元，係連接該雲端資料庫，以讀取或寫入該貨品資料庫中的該貨品資訊；一倉儲輔助模組，係設置於該倉儲空間之入口，該倉儲輔助模組包含：一第一影像辨識單元，係連接該資料庫管理單元，該第一影像辨識單元對待入倉之該貨品進行影像辨識且產生一入倉需求資訊，其中該資料庫管理單元依據該入倉需求資訊從該貨品資料庫獲取對應的該貨品資訊；一語音辨識單元，係連接該資料庫管理單元，該語音辨識單元對一工作人員輸入之語音進行語音辨識且產生一出倉需求資訊，其中該資料庫管理單元依據該出倉需求資訊從該貨品資料庫獲取對應的該貨品資訊；以及一第一提示單元，係連接該資料庫管理單元，該第一提示單元依據對應於該出倉需求資訊或者該入倉需求資訊的該貨品資訊產生一第一提示資訊，其包含該貨品的倉儲位置；以及複數個倉儲確認模組，係分別設置於該倉儲空間內的各貨架，各該倉儲確認模組包含： 一第二影像辨識單元，係連接該資料庫管理單元，該第二影像辨識單元對移入或移出該貨架之該貨品進行影像辨識以產生一貨品出入倉資訊，其中該資料庫管理單元依據該貨品出入倉資訊從該貨品資料庫獲取對應的該貨品資訊，並且判斷該貨品出入倉資訊與該第一提示資訊是否相符合，並根據判斷結果產生一判斷訊號；以及一第二提示單元，係連接該資料庫管理單元，該第二提示單元依據該判斷訊號產生一第二提示資訊，該第二提示資訊包含該貨品出入倉資訊與該第一提示資訊不相符時的提示訊息；其中，該資料庫管理單元係依據該貨品出入倉資訊以變更該貨品資料庫所儲存之的該貨品資訊；其中該資料庫管理單元使用一支持向量機對該貨品資料庫中的該貨品資訊分類，以比較該入倉需求資訊或該出倉需求資訊與該貨品資料庫中之該貨品資訊，進而依據先進先出原則從該貨品資料庫獲取對應的該貨品資訊。 A semi-automatic intelligent warehouse management system, which includes: a cloud control module, which includes: a cloud database, which includes a product database that stores a plurality of product information corresponding to a plurality of products stored in a warehouse space ; and a database management unit connected to the cloud database to read or write the product information in the product database; a warehousing auxiliary module set at the entrance of the warehousing space, the warehousing auxiliary module The group includes: a first image recognition unit connected to the database management unit. The first image recognition unit performs image recognition on the goods to be warehoused and generates warehousing demand information, wherein the database management unit based on the warehousing demand information Obtain the corresponding product information from the product database; a voice recognition unit is connected to the database management unit. The voice recognition unit performs voice recognition on the voice input by a staff member and generates a warehouse out demand information, in which the data The warehouse management unit obtains the corresponding product information from the product database based on the out-of-warehouse demand information; and a first prompting unit is connected to the database management unit, and the first prompt unit is based on the information corresponding to the out-of-warehouse demand information or The product information of the warehousing demand information generates a first prompt information, which includes the storage location of the product; and a plurality of storage confirmation modules are respectively installed on each shelf in the storage space, and each storage confirmation module includes : A second image recognition unit is connected to the database management unit. The second image recognition unit performs image recognition on the goods moved into or out of the shelf to generate a product entry and exit information, wherein the database management unit is based on the goods. The warehouse entry and exit information obtains the corresponding product information from the product database, and determines whether the goods entry and exit warehouse information is consistent with the first prompt information, and generates a judgment signal based on the judgment result; and a second prompt unit is connected The database management unit, the second prompt unit generates a second prompt information based on the judgment signal, the second prompt information includes a prompt message when the goods entry and exit information does not match the first prompt information; wherein, the data The database management unit changes the product information stored in the product database based on the product entry and exit information; wherein the database management unit uses a support vector machine to classify the product information in the product database to compare the The warehousing demand information or the outgoing warehousing demand information is combined with the product information in the product database, and then the corresponding product information is obtained from the product database based on the first-in, first-out principle. 如請求項1所述之半自動智慧倉儲管理系統，其中該雲端資料庫包含一身分資料庫，其儲存有對應於複數個該工作人員的複數個身分資訊，且該第一影像辨識單元對位於該倉儲空間之入口的該工作人員進行影像辨識，以從該身分資料庫獲取該工作人員之該身分資訊，並於確認該工作人員之該身分資訊時該第一提示單元產生對應的該第一提示資訊。 The semi-automatic smart warehouse management system as described in claim 1, wherein the cloud database includes an identity database that stores a plurality of identity information corresponding to a plurality of the staff, and the first image recognition unit is aligned with the The staff member at the entrance of the warehouse space performs image recognition to obtain the identity information of the staff member from the identity database, and when confirming the identity information of the staff member, the first prompt unit generates the corresponding first prompt information. 如請求項1所述之半自動智慧倉儲管理系統，其中該第一影像辨識單元及該第二影像辨識單元利用影像辨識手段以辨識 該貨品上的一識別資訊，且該資料庫管理單元依據該識別資訊的識別結果讀取該貨品資料庫中對應的該貨品資訊，並且該識別資訊包含供該第一影像辨識單元及該第二影像辨識單元辨識的條碼。 The semi-automatic smart warehouse management system as claimed in claim 1, wherein the first image recognition unit and the second image recognition unit use image recognition means to identify An identification information on the product, and the database management unit reads the corresponding product information in the product database based on the identification result of the identification information, and the identification information includes information for the first image recognition unit and the second The barcode recognized by the image recognition unit. 如請求項1所述之半自動智慧倉儲管理系統，其中該貨品資訊包含型號資訊、數量資訊及時間資訊。 The semi-automatic smart warehouse management system as described in request item 1, wherein the product information includes model information, quantity information and time information. 如請求項4所述之半自動智慧倉儲管理系統，其中該資料庫管理單元儲存有一庫存管理模型，且該資料庫管理單元獲取一預設貨品入倉量參數及一貨品出倉量參數，並且運行該庫存管理模型以依據該預設貨品入倉量參數及該貨品出倉量參數計算出一建議貨品入倉量，其中該建議貨品入倉量適用於輔助該工作人員決定該貨品的入倉數量。 The semi-automatic smart warehouse management system as described in request item 4, wherein the database management unit stores an inventory management model, and the database management unit obtains a preset product entry quantity parameter and a product exit quantity parameter, and runs the The inventory management model calculates a recommended product entry quantity based on the preset product entry quantity parameter and the product exit quantity parameter, where the recommended product entry quantity is suitable for assisting the staff in determining the warehouse entry quantity of the product. 如請求項5所述之半自動智慧倉儲管理系統，其中該資料庫管理單元連接一庫存管理操作端，且該貨品資料庫儲存有一當前貨品庫存量參數，該資料庫管理單元運行該庫存管理模型以依據該貨品出倉量參數及該當前貨品庫存量參數計算出一預測庫存量，且判斷該預測庫存量是否低於一安全庫存量，並且於判斷該預測庫存量低於該安全庫存量時產生並傳輸一庫存警示通知至該庫存管理操作端。 The semi-automatic smart warehouse management system as described in claim 5, wherein the database management unit is connected to an inventory management operation terminal, and the product database stores a current product inventory parameter, and the database management unit runs the inventory management model to Calculate a predicted inventory amount based on the goods out-of-warehouse quantity parameters and the current goods inventory quantity parameters, and determine whether the predicted inventory quantity is lower than a safety stock quantity, and it is generated when it is judged that the predicted inventory quantity is lower than the safety stock quantity. And transmit an inventory alert notification to the inventory management operation terminal. 如請求項1所述之半自動智慧倉儲管理系統，其中該第一提示單元及該第二提示單元分別包含選自於一發光元件、一聲音元件及一顯示元件所組成之群組中的至少一者，且該第一提示資訊及該第二提示資訊分別包含對應的一發光訊息、一聲音訊息或一顯示訊息。 The semi-automatic smart warehouse management system according to claim 1, wherein the first prompt unit and the second prompt unit respectively include at least one selected from the group consisting of a light-emitting element, a sound element and a display element. Or, the first prompt information and the second prompt information respectively include a corresponding luminous message, a sound message or a display message. 如請求項1所述之半自動智慧倉儲管理系統，其中該雲端控制模組、該倉儲輔助模組及該倉儲確認模組之間係透過一無線通訊方式連接，並且該無線通訊方式係為選自於窄頻物聯網、3G、4G、5G、長期演進技術、無線射頻通訊、紅外線通訊、藍芽、Zigbee、Z-Wave、DECT-ULE及WiFi所組成之群組中的至少一者。 The semi-automatic smart warehousing management system as described in claim 1, wherein the cloud control module, the warehousing auxiliary module and the warehousing confirmation module are connected through a wireless communication method, and the wireless communication method is selected from At least one of the groups consisting of narrowband Internet of Things, 3G, 4G, 5G, long-term evolution technology, wireless radio frequency communications, infrared communications, Bluetooth, Zigbee, Z-Wave, DECT-ULE and WiFi. 如請求項1所述之半自動智慧倉儲管理系統，其中該半自動智慧倉儲管理系統係以在不更動倉儲設備之主結構下以附加的方式結合於該倉儲空間之倉儲設備上。 The semi-automatic intelligent warehouse management system as described in claim 1, wherein the semi-automatic intelligent warehouse management system is combined with the storage equipment of the storage space in an additional manner without changing the main structure of the storage equipment.