CN112581046A - Warehouse logistics management system and method - Google Patents
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Abstract
The invention discloses a warehouse logistics management system and a warehouse logistics management method, which relate to the technical field of logistics, and the system comprises: the system comprises a transmission unit, a space distribution unit, an information acquisition unit, a path planning unit, an article detection unit, a management unit and a display unit; the management unit is respectively in signal connection with the transmission unit, the space distribution unit, the information acquisition unit, the path planning unit, the article detection unit and the display unit; the conveying unit is used for conveying articles; the path planning unit is used for planning the path of article transmission; the space distribution unit is used for distributing space for storing articles; the article detection unit is used for detecting the quality of the stored articles; the management unit is used for managing other units and controlling the operation of each unit; and the display unit is used for displaying system information. The intelligent control system has the advantages of high intelligent degree, multiple functions and high safety.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a warehouse logistics management system and method.
Background
Warehouse logistics (WarehousingLogitics) is the utilization of self-built or leased storehouses, sites, storage, handling, loading and unloading and delivery of goods. Traditional warehouse definitions are given from the perspective of material reserves. Modern warehousing is not warehousing and warehouse management in the traditional sense, but warehousing under the background of integration of economic globalization and supply chain, and is warehousing in a modern logistics system.
The storage function is mainly as follows: adjusting, inspecting, collecting and distributing, processing and distributing. Significance of warehousing activities: the method is an important means for reasonably using necessary conditions (overcoming the geographical separation of production and consumption, linking the deviation of production and consumption time and adjusting the difference of production and consumption modes) in the social reproduction process and keeping the original use value of the commodity, and is an effective way for accelerating capital turnover, saving circulation cost, reducing logistics cost and improving economic benefit. Is an important component of material supply and marketing management work.
Storage management basic principle: the efficiency, the economic benefit and the social benefit are unified and serve. The logistics enterprises have requirements on warehouse management: 1 reasonably scheduling the operation of warehousing and making a quick dynamic response to the customer demands. 2, the warehouse is provided with advanced logistics software and hardware facilities, including a three-dimensional goods shelf and an automatic sorting system. Bar code management system and circulation processing equipment. 3 the warehouse management mode can be adapted to different customer requirements. 4 on the basis of the good warehousing basic business, the work of sorting, goods distribution, packaging and the like is required to be carried out, and personalized service is improved for customers. Value added services are provided to customers, including making inventory control and improving the ability to flow through processes.
The existing warehouse management is often managed manually, and the management efficiency is low when the management is carried out. Meanwhile, in the warehousing management, the conditions that safety accidents occur frequently and the quality of the articles cannot be guaranteed also occur.
Disclosure of Invention
In view of this, the present invention provides a warehouse logistics management system and method, which have the advantages of high intelligence, multiple functions and high security.
In order to achieve the purpose, the invention adopts the following technical scheme:
a warehouse logistics management system, the system comprising: the system comprises a transmission unit, a space distribution unit, an information acquisition unit, a path planning unit, an article detection unit, a management unit and a display unit; the management unit is respectively in signal connection with the transmission unit, the space distribution unit, the information acquisition unit, the path planning unit, the article detection unit and the display unit; the conveying unit is used for conveying articles; the path planning unit is used for planning the path of article transmission; the space distribution unit is used for distributing space for storing articles; the article detection unit is used for detecting the quality of the stored articles; the management unit is used for managing other units and controlling the operation of each unit; and the display unit is used for displaying system information.
Further, the space allocation unit includes: and the different storage subunits are used for storing goods of different brands, and the storage subunits are numbered according to the distance from the storage subunits to the warehouse storage outflow port from near to far.
Furthermore, the information acquisition unit comprises a plurality of information acquisition subunits, each information acquisition subunit is respectively installed above the goods transportation path, and the information acquisition subunits are used for reading the RFID tags on the goods packaging boxes to acquire basic parameter information of the goods, sending the acquired basic parameter information of the goods to the management unit, and sending the goods transportation path number in the acquired basic parameter information of the goods and the identification code corresponding to the information acquisition subunits to the path planning unit.
Further, the path planning unit receives the identification codes corresponding to the information acquisition units sent by the information acquisition unit and the cargo conveying path numbers of the cargos on the conveying path, extracts the identification codes corresponding to the information acquisition units and the path numbers corresponding to the identification codes stored in the conveying path database, compares the path numbers corresponding to the extracted identification codes with the cargo conveying path numbers of the cargos on the conveying path acquired by the information acquisition unit, if the path numbers corresponding to the identification codes are the same as the cargo conveying path numbers, indicates that the conveying path adopted by the cargo conveying is correct, and feeds back the correct information of the conveying path and the cargo conveying path numbers to the management unit, and if the path numbers corresponding to the identification codes are not the same as the cargo conveying path numbers, indicates that the conveying path adopted by the cargo conveying is wrong, and feeding back the error information of the transportation path, the path number corresponding to the information acquisition unit and the cargo conveying path number to the management unit.
Further, the article detection unit performs article detection by periodically randomly extracting samples from each storage subunit; at least comprises the following steps: the system comprises an article extraction unit, an article detection subunit and a detection analysis unit; the article extraction unit is used for randomly extracting samples from the storage subunit; the article detection subunit is used for automatically detecting the randomly extracted samples to generate a detection result; and the detection and analysis unit is used for storing the detection result generated by the article detection unit and simultaneously carrying out data analysis on the stored detection result according to a set time period.
Further, the system further comprises: an environmental monitoring unit, the environmental monitoring unit comprising: the system comprises a plurality of groups of article monitoring subunits, wherein the plurality of groups of article monitoring subunits are respectively installed in each storage subinterval and are used for detecting the temperature and humidity in each storage subinterval and the pressure borne by a bottom supporting plate in each storage subinterval in real time and sending the detected temperature, humidity and pressure information and the numbers corresponding to the temperature, humidity and pressure information to a management unit, the number corresponding to each group of article monitoring subunits is consistent with the position number corresponding to each detected storage subinterval, namely, the numbers corresponding to the temperature detecting subunit, the humidity detecting subunit and the pressure detecting subunit in the article monitoring subunits are all the same with the position numbers corresponding to each detected storage subinterval.
A warehouse logistics management method, the method performing the steps of:
step 1: the information acquisition unit is used for acquiring basic parameter information of the article in real time; the path planning unit plans a transmission path of the article according to the acquired basic parameter information of the article;
step 2: the management unit controls the transmission unit to transmit the articles to the space distribution unit according to the planned transmission path of the articles;
step 2: the space distribution unit distributes the received articles to each storage space according to the brand of the articles;
and step 3: the article detection unit is used for automatically detecting the randomly extracted samples to generate detection results; storing the detection result generated by the article detection unit, and simultaneously, performing data analysis on the stored detection result according to a set time period;
and 4, step 4: the display unit displays the operation condition of each unit in real time.
Further, in the step 3: the method for storing the detection result generated by the article detection unit and analyzing the stored detection result according to the set time period comprises the following steps:
step 1: carrying out statistical analysis on the detection result to obtain a statistical analysis result;
step 2: carrying out cluster analysis on the detection result to obtain a cluster analysis result;
and step 3: carrying out regression analysis on the detection result to obtain a regression analysis result;
and 4, step 4: and according to the set weighted value, taking the weighted average value of the statistical analysis result, the cluster analysis result and the regression analysis result to obtain the final analysis result.
Compared with the prior art, the invention has the following beneficial effects: the management efficiency is high: according to the invention, the storage logistics management efficiency is improved through intelligent management of storage. The articles are automatically distributed into the storage space, and meanwhile, information detection is carried out on the articles and the environment for storing the articles is detected, so that the safety and the reliability of article management are guaranteed.
Drawings
The invention is described in further detail below with reference to the following figures and detailed description:
fig. 1 is a system structure schematic diagram of a warehouse logistics management system disclosed in an embodiment of the invention.
Fig. 2 is a schematic flow chart of a method for managing storage logistics according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
Please refer to fig. 1. It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
Example 1
A warehouse logistics management system, the system comprising: the system comprises a transmission unit, a space distribution unit, an information acquisition unit, a path planning unit, an article detection unit, a management unit and a display unit; the management unit is respectively in signal connection with the transmission unit, the space distribution unit, the information acquisition unit, the path planning unit, the article detection unit and the display unit; the conveying unit is used for conveying articles; the path planning unit is used for planning the path of article transmission; the space distribution unit is used for distributing space for storing articles; the article detection unit is used for detecting the quality of the stored articles; the management unit is used for managing other units and controlling the operation of each unit; and the display unit is used for displaying system information.
Example 2
On the basis of the above embodiment, the space allocation unit includes: and the different storage subunits are used for storing goods of different brands, and the storage subunits are numbered according to the distance from the storage subunits to the warehouse storage outflow port from near to far.
Example 3
On the basis of the previous embodiment, the information acquisition unit comprises a plurality of information acquisition subunits, each information acquisition subunit is installed above the cargo transportation path, and the information acquisition subunits are used for reading the RFID tags on the cargo packaging boxes to acquire the basic parameter information of the cargo, sending the acquired basic parameter information of the cargo to the management unit, and sending the cargo conveying path number in the acquired basic parameter information of the cargo and the identification code corresponding to the information acquisition subunit to the path planning unit.
Specifically, the rfid technology combines a radio wave contactless fast information exchange and storage technology with a data access technology, and then connects to a database system to realize contactless two-way communication, thereby achieving the purpose of identification. In the identification system, reading and writing and communication of the electronic tag are realized through electromagnetic waves. According to the communication distance, a near field and a far field can be divided, and for this reason, the data exchange method between the read/write device and the electronic tag is correspondingly divided into load modulation and backscatter modulation.
Specifically, the reader is a device that reads information from the tag or writes information to be stored in the tag into the tag. Depending on the configuration and technology used, the reader may be a read/write device, an RFID system information control and processing center. In operation of an RFID system, radio frequency energy is transmitted by a reader in an area to form an electromagnetic field, the size of the area being dependent on the transmitted power. Tags within the coverage area of the reader are triggered to transmit data stored therein or to modify data stored therein in accordance with the reader's instructions and can communicate with a computer network via an interface. The basic construction of a reader generally includes: the device comprises a receiving and transmitting antenna, a frequency generator, a phase-locked loop, a modulation circuit, a microprocessor, a memory, a demodulation circuit and an external interface.
Example 4
On the basis of the previous embodiment, the path planning unit acquires the cargo conveying path number of the cargo on the conveying path by receiving the identification code corresponding to each information acquisition unit sent by the information acquisition unit and the information acquisition unit, extracts the identification code corresponding to the information acquisition unit and the path number corresponding to the identification code stored in the conveying path database, compares the path number corresponding to the extracted identification code with the cargo conveying path number of the cargo on the conveying path acquired by the information acquisition unit, if the path number corresponding to the identification code is the same as the cargo conveying path number, indicates that the conveying path adopted by the cargo conveying is correct, and feeds back the correct information of the conveying path and the cargo conveying path number to the management unit, if the path number corresponding to the identification code is not the same as the cargo conveying path number, and indicating that the transportation path adopted by the goods transportation is wrong, and feeding back the transportation path error information, the path number corresponding to the information acquisition unit and the goods transportation path number to the management unit.
Example 5
On the basis of the previous embodiment, the article detection unit performs article detection by randomly drawing samples from each storage subunit at regular intervals; at least comprises the following steps: the system comprises an article extraction unit, an article detection subunit and a detection analysis unit; the article extraction unit is used for randomly extracting samples from the storage subunit; the article detection subunit is used for automatically detecting the randomly extracted samples to generate a detection result; and the detection and analysis unit is used for storing the detection result generated by the article detection unit and simultaneously carrying out data analysis on the stored detection result according to a set time period.
Example 6
On the basis of the above embodiment, the system further includes: an environmental monitoring unit, the environmental monitoring unit comprising: the system comprises a plurality of groups of article monitoring subunits, wherein the plurality of groups of article monitoring subunits are respectively installed in each storage subinterval and are used for detecting the temperature and humidity in each storage subinterval and the pressure borne by a bottom supporting plate in each storage subinterval in real time and sending the detected temperature, humidity and pressure information and the numbers corresponding to the temperature, humidity and pressure information to a management unit, the number corresponding to each group of article monitoring subunits is consistent with the position number corresponding to each detected storage subinterval, namely, the numbers corresponding to the temperature detecting subunit, the humidity detecting subunit and the pressure detecting subunit in the article monitoring subunits are all the same with the position numbers corresponding to each detected storage subinterval.
Example 7
As shown in fig. 2, a warehouse logistics management method performs the following steps:
step 1: the information acquisition unit is used for acquiring basic parameter information of the article in real time; the path planning unit plans a transmission path of the article according to the acquired basic parameter information of the article;
step 2: the management unit controls the transmission unit to transmit the articles to the space distribution unit according to the planned transmission path of the articles;
step 2: the space distribution unit distributes the received articles to each storage space according to the brand of the articles;
and step 3: the article detection unit is used for automatically detecting the randomly extracted samples to generate detection results; storing the detection result generated by the article detection unit, and simultaneously, performing data analysis on the stored detection result according to a set time period;
and 4, step 4: the display unit displays the operation condition of each unit in real time.
Example 8
On the basis of the above embodiment, in step 3: the method for storing the detection result generated by the article detection unit and analyzing the stored detection result according to the set time period comprises the following steps:
step 1: carrying out statistical analysis on the detection result to obtain a statistical analysis result;
step 2: carrying out cluster analysis on the detection result to obtain a cluster analysis result;
and step 3: carrying out regression analysis on the detection result to obtain a regression analysis result;
and 4, step 4: and according to the set weighted value, taking the weighted average value of the statistical analysis result, the cluster analysis result and the regression analysis result to obtain the final analysis result.
In particular, the goal of cluster analysis is to collect data on a similar basis for classification. Clustering is derived from many fields, including mathematics, computer science, statistics, biology and economics. In different application fields, many clustering techniques have been developed, and these techniques are used to describe data, measure the similarity between different data sources, and classify data sources into different clusters.
In particular, from a statistical point of view, cluster analysis is a method of simplifying data through data modeling. The traditional statistical clustering analysis method comprises a systematic clustering method, a decomposition method, an addition method, a dynamic clustering method, ordered sample clustering, overlapped clustering, fuzzy clustering and the like. Clustering tools using k-means, k-centroids, etc. have been incorporated into many well-known statistical analysis software packages, such as SPSS, SAS, etc. From a machine learning perspective, clusters correspond to hidden patterns. Clustering is an unsupervised learning process of searching clusters. Unlike classification, unsupervised learning does not rely on predefined classes or training instances with class labels, requiring that the labels be automatically determined by a cluster learning algorithm, whereas class-learned instances or data objects have class labels. Clustering is an observed learning, not an example learning. The cluster analysis is an exploratory analysis, and in the classification process, people do not need to give a classification standard in advance, and the cluster analysis can automatically classify from sample data. Different conclusions are often reached from the different methods used for cluster analysis. Different researchers do not necessarily obtain the same cluster number when performing cluster analysis on the same group of data. From a practical application perspective, cluster analysis is one of the main tasks of data mining. And clustering can be used as an independent tool to obtain the distribution condition of data, observe the characteristics of each cluster of data and intensively analyze a specific cluster set for further analysis. Clustering analysis can also be used as a pre-processing step for other algorithms such as classification and qualitative induction algorithms.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional modules, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would appreciate that the various illustrative modules, method steps, and modules described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the software modules, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing or implying a particular order or sequence.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. A warehouse logistics management system, the system comprising: the system comprises a transmission unit, a space distribution unit, an information acquisition unit, a path planning unit, an article detection unit, a management unit and a display unit; the management unit is respectively in signal connection with the transmission unit, the space distribution unit, the information acquisition unit, the path planning unit, the article detection unit and the display unit; the conveying unit is used for conveying articles; the path planning unit is used for planning the path of article transmission; the space distribution unit is used for distributing space for storing articles; the article detection unit is used for detecting the quality of the stored articles; the management unit is used for managing other units and controlling the operation of each unit; and the display unit is used for displaying system information.
2. The system of claim 1, wherein the space allocation unit comprises: and the different storage subunits are used for storing goods of different brands, and the storage subunits are numbered according to the distance from the storage subunits to the warehouse storage outflow port from near to far.
3. The system according to claim 2, wherein the information acquiring unit comprises a plurality of information acquiring subunits, each information acquiring subunit is installed above the cargo transportation path, and the information acquiring subunits are used for reading the RFID tags on the cargo packaging boxes to acquire basic parameter information of the cargo, sending the acquired basic parameter information of the cargo to the management unit, and sending the cargo transportation path number in the acquired basic parameter information of the cargo and the identification code corresponding to the information acquiring subunit to the path planning unit.
4. The system according to claim 3, wherein the path planning unit receives the identification code corresponding to each information acquiring unit sent by the information acquiring unit and the cargo conveying path number of the cargo on the conveying path acquired by the information acquiring unit, extracts the identification code corresponding to the information acquiring unit and the path number corresponding to the identification code stored in the conveying path database, compares the path number corresponding to the extracted identification code with the cargo conveying path number of the cargo on the conveying path acquired by the information acquiring unit, and if the path number corresponding to the identification code is the same as the cargo conveying path number, indicates that the conveying path used for cargo conveying is correct, and feeds back correct information of the conveying path and the cargo conveying path number to the managing unit, and if the path number corresponding to the identification code is not the same as the cargo conveying path number, and indicating that the transportation path adopted by the goods transportation is wrong, and feeding back the transportation path error information, the path number corresponding to the information acquisition unit and the goods transportation path number to the management unit.
5. The system of claim 4, wherein the item detection unit performs item detection by periodically randomly drawing samples from each storage subunit; at least comprises the following steps: the system comprises an article extraction unit, an article detection subunit and a detection analysis unit; the article extraction unit is used for randomly extracting samples from the storage subunit; the article detection subunit is used for automatically detecting the randomly extracted samples to generate a detection result; and the detection and analysis unit is used for storing the detection result generated by the article detection unit and simultaneously carrying out data analysis on the stored detection result according to a set time period.
6. The system of claim 5, wherein the system further comprises: an environmental monitoring unit, the environmental monitoring unit comprising: the system comprises a plurality of groups of article monitoring subunits, wherein the plurality of groups of article monitoring subunits are respectively installed in each storage subinterval and are used for detecting the temperature and humidity in each storage subinterval and the pressure borne by a bottom supporting plate in each storage subinterval in real time and sending the detected temperature, humidity and pressure information and the numbers corresponding to the temperature, humidity and pressure information to a management unit, the number corresponding to each group of article monitoring subunits is consistent with the position number corresponding to each detected storage subinterval, namely, the numbers corresponding to the temperature detecting subunit, the humidity detecting subunit and the pressure detecting subunit in the article monitoring subunits are all the same with the position numbers corresponding to each detected storage subinterval.
7. A warehouse logistics management method based on the system of one of claims 1 to 6, characterized in that the method performs the following steps:
step 1: the information acquisition unit is used for acquiring basic parameter information of the article in real time; the path planning unit plans a transmission path of the article according to the acquired basic parameter information of the article;
step 2: the management unit controls the transmission unit to transmit the articles to the space distribution unit according to the planned transmission path of the articles;
step 2: the space distribution unit distributes the received articles to each storage space according to the brand of the articles;
and step 3: the article detection unit is used for automatically detecting the randomly extracted samples to generate detection results; storing the detection result generated by the article detection unit, and simultaneously, performing data analysis on the stored detection result according to a set time period;
and 4, step 4: the display unit displays the operation condition of each unit in real time.
8. The method of claim 7, wherein in step 3: the method for storing the detection result generated by the article detection unit and analyzing the stored detection result according to the set time period comprises the following steps:
step 1: carrying out statistical analysis on the detection result to obtain a statistical analysis result;
step 2: carrying out cluster analysis on the detection result to obtain a cluster analysis result;
and step 3: carrying out regression analysis on the detection result to obtain a regression analysis result;
and 4, step 4: and according to the set weighted value, taking the weighted average value of the statistical analysis result, the cluster analysis result and the regression analysis result to obtain the final analysis result.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114219353A (en) * | 2021-12-28 | 2022-03-22 | 曾云莲 | Logistics management method based on big data and intelligent warehousing |
| CN114331270A (en) * | 2021-12-28 | 2022-04-12 | 曾云莲 | Warehouse management system based on intelligent manufacturing |
| CN114715592A (en) * | 2022-04-25 | 2022-07-08 | 西安富立叶微电子有限责任公司 | Logistics storage management system and method |
| CN118469451A (en) * | 2024-07-12 | 2024-08-09 | 深圳市兆航物流有限公司 | RFID-based intelligent warehouse management system and method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002087542A (en) * | 2000-09-18 | 2002-03-27 | Hideji Kanemoto | Follow-up control system of cargo transport |
| US20090164041A1 (en) * | 2007-12-24 | 2009-06-25 | Beijing Aotengxunda Science And Technology Co., Ltd. | System for zonal warehousing management |
| CN108038651A (en) * | 2017-12-29 | 2018-05-15 | 西华大学 | A kind of monitoring logistics transportation system for tracing and managing |
| CN109034605A (en) * | 2018-07-23 | 2018-12-18 | 叶苑庭 | A kind of cargo mass assessment system of the warehouse logistics based on big data |
| CN109034697A (en) * | 2018-07-23 | 2018-12-18 | 叶苑庭 | A kind of warehouse logistics intelligent management system |
| CN109359919A (en) * | 2018-11-01 | 2019-02-19 | 常州信息职业技术学院 | A kind of Warehouse Management System and management method for logistics storage |
-
2019
- 2019-09-27 CN CN201910921748.8A patent/CN112581046A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002087542A (en) * | 2000-09-18 | 2002-03-27 | Hideji Kanemoto | Follow-up control system of cargo transport |
| US20090164041A1 (en) * | 2007-12-24 | 2009-06-25 | Beijing Aotengxunda Science And Technology Co., Ltd. | System for zonal warehousing management |
| CN108038651A (en) * | 2017-12-29 | 2018-05-15 | 西华大学 | A kind of monitoring logistics transportation system for tracing and managing |
| CN109034605A (en) * | 2018-07-23 | 2018-12-18 | 叶苑庭 | A kind of cargo mass assessment system of the warehouse logistics based on big data |
| CN109034697A (en) * | 2018-07-23 | 2018-12-18 | 叶苑庭 | A kind of warehouse logistics intelligent management system |
| CN109359919A (en) * | 2018-11-01 | 2019-02-19 | 常州信息职业技术学院 | A kind of Warehouse Management System and management method for logistics storage |
Non-Patent Citations (1)
| Title |
|---|
| 国家食品药品监督管理总局科技和标准司: "《乳制品及特殊食品食品安全国家标准汇编》", vol. 1, 中国医药科技出版社, pages: 1002 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114219353A (en) * | 2021-12-28 | 2022-03-22 | 曾云莲 | Logistics management method based on big data and intelligent warehousing |
| CN114331270A (en) * | 2021-12-28 | 2022-04-12 | 曾云莲 | Warehouse management system based on intelligent manufacturing |
| CN114219353B (en) * | 2021-12-28 | 2023-04-28 | 上海置潮信息科技有限公司 | Logistics management method based on big data and intelligent warehouse |
| CN114331270B (en) * | 2021-12-28 | 2023-09-01 | 上海赢链通网络科技有限公司 | Warehouse management system based on intelligent manufacturing |
| CN114715592A (en) * | 2022-04-25 | 2022-07-08 | 西安富立叶微电子有限责任公司 | Logistics storage management system and method |
| CN114715592B (en) * | 2022-04-25 | 2024-07-16 | 西安富立叶微电子有限责任公司 | Logistics storage management system and method |
| CN118469451A (en) * | 2024-07-12 | 2024-08-09 | 深圳市兆航物流有限公司 | RFID-based intelligent warehouse management system and method |
| CN118469451B (en) * | 2024-07-12 | 2024-09-20 | 深圳市兆航物流有限公司 | RFID-based intelligent warehouse management system and method |
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