CN114154931A - Storage management system and method based on Internet of things and big data - Google Patents

Storage management system and method based on Internet of things and big data Download PDF

Info

Publication number
CN114154931A
CN114154931A CN202111477267.6A CN202111477267A CN114154931A CN 114154931 A CN114154931 A CN 114154931A CN 202111477267 A CN202111477267 A CN 202111477267A CN 114154931 A CN114154931 A CN 114154931A
Authority
CN
China
Prior art keywords
goods
warehousing
warehouse
module
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111477267.6A
Other languages
Chinese (zh)
Inventor
吴旻
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202111477267.6A priority Critical patent/CN114154931A/en
Publication of CN114154931A publication Critical patent/CN114154931A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

The application relates to a warehouse management system based on thing networking and big data, it includes: the system comprises an order management module, a goods transfer module, a big data inventory management module, a storage environment control module and a security control module, wherein the order management module, the goods transfer module, the big data inventory management module, the storage environment control module and the security control module are in communication connection with each other. The automatic warehousing and ex-warehousing of the goods can be realized, manpower and material resources are saved, the time for the goods to be warehoused and ex-warehoused is effectively reduced, and the environmental parameters of each warehousing point are detected and controlled by the warehousing environment control module, so that the goods can obtain a good storage environment, and the warehousing service quality is improved; meanwhile, the goods allowance early warning information and the recommended warehousing order information are generated according to the allowance of various goods in the goods warehouse, so that the sufficient quantity of various goods for transaction in the goods warehouse is ensured, timely and correct goods input and fast goods output are ensured, the warehousing resources are reasonably distributed, and the efficiency and the quality of warehousing management are improved.

Description

Storage management system and method based on Internet of things and big data
Technical Field
The application relates to the field of warehousing management, in particular to a warehousing management system and method based on the Internet of things and big data.
Background
Warehouse management refers to managing warehouses and materials stored in the warehouses. The warehouse of modern enterprises becomes the logistics center of the enterprise. In the past, warehouses were viewed as a cost center with no added value, while warehouses were now viewed not only as part of the process of forming added value, but also as a key factor in the successful business of an enterprise. Warehouses are used by businesses as bridges to connect suppliers and demanders. From the supplier's perspective, the warehouse as a distribution center is engaged in efficient distribution processing, inventory management, transportation and distribution activities. From the demander's point of view, the warehouse, which is the distribution center, must meet the needs of the various customers with maximum flexibility and timeliness. Therefore, the storage management is significant for enterprises. Under the new competitive situation of new economy, enterprises pay attention to the importance of reasonable storage management while continuously mining and developing the competitive capacity of the enterprises. Accurate warehouse management can effectively control and reduce circulation and inventory cost, is the key helping hand and the assurance that the enterprise keeps the advantage.
In addition, nowadays, the warehouse of a modern enterprise becomes a logistics center of the enterprise, the warehouse not only serves as storage, but also serves as a material transfer center, the key point of storage management is not only the safety of material storage, and more attention is paid to how to improve the speed and benefit of storage operation by using modern technologies, such as information technology and automation technology. Modern warehousing plays a crucial role in logistics supply chain, and if correct feeding and inventory control and delivery cannot be guaranteed, the management cost is increased, the service quality is difficult to guarantee, and the competitiveness of enterprises is affected.
For the related technologies, the inventor thinks that in the existing warehousing management process, the information butt joint of each link needs to be completed by manpower, the workload is large, the situations of error and leakage, untimely information, low goods transfer speed and the like are easy to occur in the working process, the working efficiency is low, the correct goods feeding and inventory control and delivery cannot be guaranteed, and the resource allocation is unreasonable.
Disclosure of Invention
In order to solve the problems that in the existing warehousing management process, information butt joint of all links needs to be completed by manpower, the workload is large, mistakes and omissions are easy to occur in the working process, information is not timely, the working efficiency is low, correct goods feeding, inventory control and delivery cannot be guaranteed, resource allocation is unreasonable and the like, the warehousing management system and the warehousing management method based on the Internet of things and big data are provided.
In a first aspect, the application provides a warehousing management system based on the internet of things and big data, which adopts the following technical scheme:
a warehouse management system based on the Internet of things and big data comprises: the system comprises an order management module, a goods transfer module, a big data inventory management module, a storage environment control module and a security control module, wherein the order management module, the goods transfer module, the big data inventory management module, the storage environment control module and the security control module are in communication connection with each other;
the order management module is used for receiving a transaction ex-warehouse order, a goods-in and warehouse-in order, a third-party storage and warehouse-in order and a third-party storage and ex-warehouse order, sending received order information to the goods transfer module and the big data stock management module, and recording and classifying the order information;
the big data inventory management module is used for generating a goods transfer scheme according to the received order information sent by the order management module, sending the goods transfer scheme to the goods transfer module, managing the information of the goods which are put in storage, collecting the storage requirements and the storage scheme information of various goods, generating a storage scheme for the goods stored in each storage point, collecting the data of the orders which are traded out of the storage to generate a goods sales prediction curve, and further generating goods allowance early warning information and recommended storage order information;
the goods transfer module is used for transferring goods from the unloading point to the storage point or transferring goods from the storage point to the loading point according to the received goods transfer scheme;
the warehousing environment control module is used for detecting the environment information of each warehousing point in the warehouse in real time and adjusting the environment parameters of the corresponding warehousing points according to the warehousing scheme;
the security control module is used for monitoring the warehouse in real time, giving an alarm to an accident, reading vehicle information entering and exiting the warehouse gate in real time and sending the vehicle information to the goods transfer module, reading the goods information entering and exiting the warehouse in real time and sending the goods information to the ordering management module, and giving an alarm to an abnormal condition.
By adopting the technical scheme, the orders of various goods which are put in and out of the warehouse are received, classified and filed through the order management module, the order information is sent to the big data warehouse management module, the big data warehouse management module acquires the warehousing position information of the goods which are put out of the warehouse, calls the storage scheme according to the names of the warehoused goods and matches with the vacant warehousing points, and finally generates a goods transferring scheme. Meanwhile, the warehoused goods are counted and recorded through the big data warehouse management module, the storage condition information of various goods is acquired to form a big data base, a warehousing scheme is generated for the goods stored in each warehousing point, and the warehousing environment control module detects and controls the environment parameters of each warehousing point, so that the goods can obtain a good storage environment, and the warehousing service quality is improved. The transaction ex-warehouse order data are collected through the big data inventory management module, a goods sales prediction curve is analyzed and generated, then goods allowance early warning information and recommended warehousing order information are generated according to the allowance of various goods in the warehouse, the warehouse management convenience can be improved, the sufficient quantity of various goods for transaction in the warehouse is ensured, timely correct goods input and fast goods output are guaranteed, warehouse resources are reasonably distributed, and the efficiency and the quality of warehouse management are improved.
Preferably, the order management module comprises a transaction ex-warehouse order module, a goods-in-warehouse order module, a third-party goods warehousing order module, a third-party goods ex-warehouse order module and an order recording module;
the transaction ex-warehouse order module is used for receiving transaction ex-warehouse order information and sending the transaction out-warehouse order information to the big data inventory management module;
the order module for entering goods and warehousing is used for receiving order information for entering goods and warehousing and sending the order information to the large data inventory management module;
the third-party goods warehousing order module is used for receiving third-party goods warehousing order information and sending the third-party goods warehousing order information to the big data inventory management module;
the third-party goods delivery order module is used for receiving delivery order information of the third-party goods and sending the delivery order information to the big data inventory management module;
the order recording module is used for classifying, filing and recording the transaction ex-warehouse order information, the goods in-warehouse order information, the received third-party goods in-warehouse order information and the third-party goods out-warehouse order information.
By adopting the technical scheme, the plurality of modules are used for respectively receiving different order information, so that the order information can be conveniently classified and filed, the different order information can be independently processed, the tidiness and the correctness of the order information can be ensured, the large data base management module can conveniently generate an optimal goods transferring scheme according to the order information, the goods can be rapidly and automatically delivered and stored in and out, manpower and material resources are saved, and the time for delivering the goods to and storing in and out is effectively reduced.
Preferably, the big data inventory management module comprises a warehousing position management module, a goods allowance management module, a warehousing scheme management module and a goods quality detection module;
the warehousing position management module is used for receiving the order information sent by the order management module, distributing warehousing positions for warehoused goods, inquiring positions of goods out of the warehouse, generating a goods transfer scheme and sending the goods transfer scheme to the goods transferring module;
the goods allowance management module is used for registering and recording the quantity and position information of goods for transaction in the goods warehouse, acquiring transaction data of different kinds of goods, generating transaction prediction curves of different kinds of goods according to the transaction data, early warning on insufficient goods allowance and generating a suggestion warehousing list according to the transaction prediction curves of the goods;
the warehousing scheme management module is used for receiving the incoming warehousing order information and the third-party warehousing order information, acquiring the weight, volume and type information of the goods, and generating a goods storage scheme according to the big database;
the goods quality detection module is used for recording the production date and the quality guarantee period of goods which are put in storage, generating alarm information for the goods with the quality guarantee period being smaller than a preset threshold value and sending the alarm information to the warehouse management personnel communication equipment.
By adopting the technical scheme, the cargo transferring scheme is rapidly generated, automatic warehousing and ex-warehousing of cargos are realized, manpower and material resources are saved, and the time for warehousing and ex-warehousing of cargos is effectively reduced. The warehousing scheme management module is used for counting and recording warehoused goods, acquiring storage condition information of various goods to form a large database, and generating a warehousing scheme for the goods stored in each warehousing point so that the warehoused goods are well stored; meanwhile, the quality guarantee period of the warehoused goods is recorded and monitored through the goods quality detection module, the phenomenon that the goods are overdue and wasted is avoided, and the effect of improving the quality of warehousing services is achieved. And finally, transaction ex-warehouse order data are collected through a goods allowance management module, a goods sales prediction curve is analyzed and generated, and then goods allowance early warning information and recommended warehousing order information are generated according to the allowance of various goods in the warehouse, so that the warehousing management convenience can be improved, the sufficient quantity of various goods for transaction in the warehouse is ensured, timely correct goods input and fast goods output are ensured, warehousing resources are reasonably distributed, and the efficiency and the quality of warehousing management are improved.
Preferably, the goods transfer module includes the AGV dolly that is used for transporting the goods, is used for receiving the goods and transports the scheme and schedule the treater of AGV dolly and be used for clearing up sterile degassing unit to the AGV dolly according to the goods.
Through adopting above-mentioned technical scheme, adopt AGV commodity circulation car and goods shelves as the instrument of transporting the goods, under the condition that does not need artifical navigation, just can dispatch AGV commodity circulation car and accomplish the transportation of goods, practiced thrift the human cost greatly, improved the efficiency of transporting.
Preferably, the warehousing environment control module comprises a warehousing environment detection module for detecting the environmental information of each warehousing point in the warehouse in real time and a warehousing environment adjustment module for changing the environmental parameters of the warehousing points;
the storage environment detection module comprises a temperature and humidity sensor, a harmful gas sensor, a brightness sensor and an air speed sensor;
the storage environment adjusting module comprises a temperature control device for adjusting and controlling the temperature of a storage point, a humidity adjusting and controlling device for controlling the humidity of the storage point, lighting equipment for adjusting the brightness of the storage point and a ventilation device for ventilating the storage point.
Through adopting above-mentioned technical scheme, detect the environment of each storage point in the warehouse in real time through storage environment detection module, obtain the temperature of storage point, humidity, the wind speed, luminance and harmful gas concentration information, and through storing up the humiture of environment control module to storage point according to the storage scheme, luminance and harmful gas concentration are regulated and control, wherein the humiture is the key factor that influences the goods and store, and illumination comes according to specific demand during then, real time monitoring harmful gas concentration both can avoid harmful gas to the erosion of goods, can also protect staff's personal safety.
Preferably, the security control module comprises an access control device for reading vehicles entering and exiting, a plurality of monitoring devices respectively located at an inlet and an outlet of a cargo warehouse and each storage point, RFID information reading devices located at an inlet and an outlet of the cargo warehouse and used for reading information of goods entering and exiting, a security inspection door located at a pedestrian access in the cargo warehouse, a fire smoke detector arranged in the cargo warehouse, a flammable gas detector arranged in the cargo warehouse and an audible and visual alarm used for giving an alarm.
Through adopting above-mentioned technical scheme, set up through surveillance camera machine and monitor the warehouse region, make things convenient for the staff in time to handle various accident, RFID information reading equipment reads and sends the goods information of business turn over warehouse and orders management module department, can take notes the discrepancy of goods, the security inspection door then can detect the unauthorized goods of being taken out illegally simultaneously, effectively avoid goods to be stolen, can in time discover and report to the police through audible-visual annunciator to the condition of a fire in the warehouse through setting up of conflagration smoke detector, make things convenient for server module and staff in time to handle.
Preferably, the big data inventory management module further comprises a goods stacking module, wherein the goods stacking module is used for acquiring weight, volume and type information of goods to generate a stacking scheme, and the stacking scheme is generated according to the rule that heavy goods do not press light goods, heavy goods with large volume do not press heavy goods with small volume, light goods with large volume do not press light goods with small volume, and the goods stacking height is smaller than the limit height.
Through adopting above-mentioned technical scheme, pile up the module through the goods and pile up the planning to the goods of transporting to the storage point, be convenient for pile up the goods fast, reduce the area of goods and practice thrift storage area, improve economic benefits, reduce the goods simultaneously and appear extrudeing damaged phenomenon, promote storage service quality and efficiency.
In a second aspect, the application provides a warehousing management method based on the internet of things and big data, which adopts the following technical scheme:
a warehousing management method based on the Internet of things and big data is applied to any one of the warehousing management systems based on the Internet of things and the big data, and comprises the following steps:
acquiring order information of a transaction ex-warehouse order, a goods-in-warehouse order, a third-party storage in-warehouse order and a third-party storage out-warehouse order, and recording and classifying the order information;
generating a cargo transferring scheme according to the received order information, and dispatching transportation equipment to transfer the cargo from the unloading point to the storage point or transport the cargo from the storage point to the loading point according to the cargo transferring scheme;
collecting, classifying and counting the information of the warehoused goods, collecting the storage requirements and the storage scheme information of various goods, and generating a warehousing scheme for the goods stored in each warehousing point;
detecting the environmental information of each storage point in the warehouse in real time, and adjusting the environmental parameters of the corresponding storage points according to the storage scheme;
sending the information of the vehicles entering and exiting the warehouse gate in real time, and sending the transportation equipment to an unloading place when the vehicles transporting the warehoused goods enter the factory; meanwhile, the information of the goods entering and exiting the warehouse is read in real time and sent to the ordering management module, and an alarm is given to abnormal conditions;
real-time monitoring is carried out on the warehouse in real time, and an alarm is given out on an accident.
By adopting the technical scheme, the orders of various goods entering and leaving the warehouse are received, classified and filed, the warehousing position information of the goods leaving the warehouse is acquired, the storage scheme of the goods is called according to the names of the goods entering the warehouse and is matched with the vacant warehousing points, the goods transportation scheme is finally generated, and the transportation equipment is dispatched to transport the goods entering and leaving the warehouse, so that the goods are automatically discharged and enter the warehouse, the manpower and material resources are saved, and the time for the goods to be discharged and enter the warehouse is effectively reduced. Meanwhile, the warehoused goods are counted and recorded, the storage condition information of various goods is acquired to form a large database, a warehousing scheme is generated for the goods stored in each warehousing point, the environment parameters of each warehousing point are detected and controlled, the goods can obtain a good storage environment, and the warehousing service quality is improved.
Preferably, the collecting, classifying and counting the information of the warehoused goods specifically further comprises: collecting data of the trade ex-warehouse orders to generate a goods sales prediction curve, further generating goods allowance early warning information and recommended warehousing order information, and pushing the goods allowance early warning information and the recommended warehousing order information to communication equipment of warehouse management personnel.
By adopting the technical scheme, the goods sales prediction curve is generated by collecting the transaction ex-warehouse order data and analyzing, and then the goods allowance early warning information and the recommended warehousing order information are generated according to the allowance of various goods in the warehouse, so that the warehousing management convenience can be improved, the sufficient quantity of various goods for transaction in the warehouse is ensured, timely correct goods input and fast goods output are ensured, the warehousing resources are reasonably distributed, and the efficiency and the quality of warehousing management are improved.
Preferably, real-time monitoring is carried out to the warehouse in real time, send out police to the accident and specifically include:
monitoring, namely monitoring and recording all-weather video of the warehouse through monitoring cameras preset at all positions of the warehouse;
and (3) detecting a fire: detecting the smoke condition in the warehouse in real time through a fire smoke detector, and giving an alarm through an audible and visual alarm;
gas detection: detecting whether flammable gas exists in the cargo compartment in real time through a flammable gas sensor, and giving an alarm through an audible and visual alarm;
loss prevention detection: the goods passing through without authorization are detected through the security inspection door arranged at the entrance and exit of the goods warehouse, and the audible and visual alarm gives out an alarm.
Through adopting above-mentioned technical scheme, set up through surveillance camera machine and monitor the warehouse region, make things convenient for the staff in time to handle various accident, RFID information reading equipment reads and sends the goods information of business turn over warehouse and orders management module department, can take notes the discrepancy of goods, the security inspection door then can detect the unauthorized goods of being taken out illegally simultaneously, effectively avoid goods to be stolen, can in time discover and report to the police through audible-visual annunciator to the condition of a fire in the warehouse through setting up of conflagration smoke detector, make things convenient for server module and staff in time to handle.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the order management module receives, classifies and files various orders of goods in and out of a warehouse, and sends order information to the big data warehouse management module, the big data warehouse management module acquires the warehouse location information of the goods out of the warehouse and transfers the storage scheme according to the name of the goods in the warehouse and matches with the vacant warehouse point, and finally generates a goods transfer scheme, and then the goods transfer module transfers the goods from the unloading point to the warehouse point or transfers the goods from the warehouse point to the loading point according to the goods transfer scheme, so that the automatic warehouse-out and warehouse-in of the goods are realized, manpower and material resources are saved, and the time of the goods in and out of the warehouse is effectively reduced;
2. meanwhile, the warehoused goods are counted and recorded through a large data warehouse management module, storage condition information of various goods is obtained to form a large data base, a warehousing scheme is generated for the goods stored in each warehousing point, and the warehousing environment control module detects and controls the environment parameters of each warehousing point, so that the goods can obtain a good storage environment, and the warehousing service quality is improved;
3. the transaction ex-warehouse order data are collected through the big data inventory management module, a goods sales prediction curve is analyzed and generated, and then goods allowance early warning information and recommended warehousing order information are generated according to the allowance of various goods in the warehouse, so that the warehouse management convenience can be improved, the sufficient quantity of various goods for transaction in the warehouse is ensured, the timely correct goods input and fast goods output are ensured, the warehouse resources are reasonably distributed, and the efficiency and the quality of the warehouse management are improved;
4. goods transported to a storage point are stacked and planned through the goods stacking module, so that the goods can be rapidly stacked, the occupied area of the goods is reduced, the storage area is saved, the economic benefit is improved, the phenomenon of extrusion and damage of the goods is reduced, and the storage service quality and efficiency are improved;
5. set up through surveillance camera machine and monitor the warehouse region, make things convenient for the staff in time to handle various accident, RFID information reading equipment reads and sends out the order management module department to the goods information of business turn over warehouse, can carry out the record to the discrepancy of goods, the security check door then can detect the goods of unauthorized being taken off illegally simultaneously, effectively avoid goods to be stolen, can in time discover and report to the police through audible-visual annunciator to the condition of a fire in the warehouse through setting up of conflagration smoke detector, make things convenient for server module and staff in time to handle.
Drawings
FIG. 1 is a system block diagram of a warehouse management system in an embodiment of the present application;
FIG. 2 is a block diagram of a method for warehouse management in an embodiment of the present application;
FIG. 3 is a block diagram of a security detection method in an embodiment of the present application.
Description of reference numerals: 1. an order management module; 11. a trade ex-warehouse order module; 12. an order module for warehousing; 13. a third party goods warehousing order module; 14. a third party goods delivery order module; 15. an order recording module; 2. a goods transfer module; 21. an AGV trolley; 22. a processor; 23. a sterilizing device; 3. a big data inventory management module; 31. a warehousing location management module; 32. a cargo allowance management module; 33. a warehousing scheme management module; 34. a cargo quality detection module; 35. a goods stacking module; 4. a storage environment control module; 41. a storage environment detection module; 411. a temperature and humidity sensor; 412. a harmful gas sensor; 413. a brightness sensor; 414. a wind speed sensor; 42. a storage environment adjusting module; 421. a temperature control device; 422. a humidity control device; 423. a lighting device; 424. a ventilation device; 5. a security control module; 51. an access control device; 52. monitoring equipment; 53. an RFID information reading device; 54. a security inspection door; 55. a fire smoke detector; 56. a flammable gas sensor; 57. an audible and visual alarm.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses a warehousing management system based on the Internet of things and big data. Referring to fig. 1, a warehouse management system based on internet of things and big data includes: the order management module 1, the goods transfer module 2, the big data inventory management module 3, the storage environment control module 4 and the security control module 5 are in communication connection with each other. The order management module 1 receives, classifies and files orders of various goods in and out of a warehouse, the order information is sent to the big data warehouse management module 3, the big data warehouse management module 3 acquires the warehouse location information of goods out of the warehouse, calls the storage scheme according to the names of the warehoused goods and matches with vacant warehouse points, and finally generates a goods transferring scheme, and the goods are transferred from an unloading point to a warehouse point or are transferred from the warehouse point to a loading point through the goods transferring module 2 according to the goods transferring scheme, so that the automatic warehouse-out and warehouse-in of the goods are realized, manpower and material resources are saved, and the time for the goods to go out of the warehouse and put in the warehouse is effectively reduced. Meanwhile, the warehoused goods are counted and recorded through the big data inventory management module 3, the storage condition information of various goods is acquired to form a big data base, a warehousing scheme is generated for the goods stored in each warehousing point, and the warehousing environment control module 4 detects and controls the environment parameters of each warehousing point, so that the goods can obtain a good storage environment, and the warehousing service quality is improved. And transaction ex-warehouse order data are collected through the big data inventory management module 3, a goods sales prediction curve is analyzed and generated, and then goods allowance early warning information and recommended warehousing order information are generated according to the allowance of various goods in the warehouse, so that the warehousing management convenience can be improved, the sufficient quantity of various goods for transaction in the warehouse is ensured, timely correct goods input and fast goods output are ensured, warehousing resources are reasonably distributed, and the efficiency and the quality of warehousing management are improved.
Referring to fig. 1, the order management module 1 is configured to receive a transaction outbound order, a stock-in order, a third-party storage inbound order, and a third-party storage outbound order, send received order information to the goods transit module 2 and the big-data inventory management module 3, and record and classify order information. The order information comprises the type information, weight information and volume information of the goods.
Referring to fig. 1, the order management module 1 includes a trade delivery order module 11, an input/output order module 12, a third party goods delivery order module 13, a third party goods delivery order module 14, and an order recording module 15. The trade delivery order module 11 is used for receiving trade delivery order information and sending the information to the big data inventory management module 3. The order module 12 for entering goods and warehousing is used for receiving the order information for entering goods and warehousing and sending the order information to the big data inventory management module 3. The third-party goods warehousing order module 13 is configured to receive third-party goods warehousing order information and send the third-party goods warehousing order information to the big-data inventory management module 3. The third-party goods delivery order module 14 is configured to receive the third-party goods delivery order information and send the third-party goods delivery order information to the big data inventory management module 3. The order recording module 15 is used for classifying, filing and recording the transaction delivery order information, the input and storage order information, the receiving third-party goods storage order information and the third-party goods delivery order information. The plurality of modules are used for respectively receiving different order information, so that the order information can be conveniently classified and filed, the different order information can be independently processed, the tidiness and the correctness of the order information can be ensured, the large data inventory management module 3 can conveniently generate an optimal goods transfer scheme according to the order information, the goods can be rapidly and automatically delivered and stored in a warehouse, manpower and material resources are saved, and the time for delivering and storing the goods is effectively reduced.
Referring to fig. 1, the big data inventory management module 3 is configured to generate a cargo transferring scheme according to the received order information sent by the order management module 1, and send the cargo transferring scheme to the cargo transferring module 2. Meanwhile, the information of the warehoused goods is managed, the storage requirements and the storage scheme information of various goods are collected, and the warehousing scheme is generated for the goods stored in each warehousing point. And collecting data of the trade ex-warehouse orders to generate a goods sales prediction curve, and further generating goods allowance early warning information and recommended warehousing order information.
Referring to fig. 1, the big data management module includes a warehousing location management module 31, a goods allowance management module 32, a warehousing scheme management module 33, a goods quality detection module 34, and a goods stacking module 35. The warehousing position management module 31 is used for receiving the order information sent by the order management module 1, distributing warehousing positions and inquiring positions of goods out of warehouses for warehoused goods, generating a goods transfer scheme and sending the goods transfer scheme to the goods transfer module 2, so that automatic warehousing and ex-warehousing of goods are realized, manpower and material resources are saved, and time for warehousing and ex-warehousing of goods is effectively reduced. The transfer scheme specifically comprises the step of matching the type, the number and the transportation route of the corresponding needed transportation equipment according to the type and the number of the goods.
The warehousing scheme management module 33 is configured to receive the incoming warehousing order information and the third-party warehousing order information, and acquire weight, volume, and type information of the goods. And meanwhile, the storage condition information of various goods is acquired to form a large database, and a goods storage scheme is generated according to the large database. So that the warehoused goods are well preserved. The effect of improving the warehousing service quality is achieved. The goods quality detection module 34 is used for recording the production date and the quality guarantee period of the goods which are put in storage, generating alarm information for the goods with the quality guarantee period being less than a preset threshold value and sending the alarm information to the warehouse management personnel communication equipment. The quality guarantee period of the warehoused goods is recorded and monitored through the goods quality detection module 34, the phenomenon that the goods are overdue and wasted is avoided, and the effect of improving the quality of warehousing services is further achieved.
Referring to fig. 1, the cargo stacking module 35 is configured to obtain information of weight, volume, and type of the cargo to generate a stacking scheme, where the stacking scheme is generated according to a rule that the heavy cargo does not press the light cargo, the heavy cargo with a large volume does not press the heavy cargo with a small volume, the light cargo with a large volume does not press the light cargo with a small volume, and a cargo stacking height is less than a limit height. The cargo stacking module 35 relies on a boxing rule algorithm, and aims to reduce the occupied area of the cargo as much as possible while complying with the above rules, so as to achieve the effect of improving the economic benefit. Meanwhile, the phenomenon of extrusion damage of goods is reduced, and the warehousing service quality and efficiency are improved
Referring to fig. 1, the remaining amount of goods management module 32 is used to register and record the quantity and location information of goods for transaction in the warehouse. And meanwhile, transaction data of different kinds of goods are acquired, transaction prediction curves of the different kinds of goods are generated according to the transaction data, early warning is carried out on the shortage of goods allowance, and a suggestion warehousing list is generated according to the transaction prediction curves of the goods. Specifically, a past year data trend graph is generated according to collected transaction data of each month in the past year, meanwhile, the whole transaction data of the same goods in the same region is collected to generate a past year transaction data trend graph of the region, a big data model is established according to the two data trend graphs, big data analysis is conducted to generate and predict transaction amount of the future months, the specific month volume is set by a warehousing manager according to the actual warehousing condition, if the warehousing area is large and the current goods in a warehouse need to be kept for 3 months, a stock shortage list of the warehoused goods is obtained according to the warehoused goods amount and a transaction prediction curve, meanwhile, the quantity of the goods needing to be supplemented is obtained according to the minimum batch transportation amount of the different kinds of goods as a base number, calculated according to the shortage amount and rounded upwards, and then a suggested warehousing list is generated. Can promote the warehouse management convenience through goods surplus management module 32, ensure that the various goods quantity that are used for the transaction in the warehouse is sufficient, guarantee in time correctly to get in and go out the goods fast, rational distribution warehouse resource promotes warehouse management's efficiency and quality.
Referring to fig. 1, the cargo transferring module 2 is configured to transfer the cargo from the unloading point to the warehousing point or transport the cargo from the warehousing point to the loading point according to the received cargo transferring scheme. The goods transfer module 2 comprises an AGV trolley 21 for transferring goods, a processor 22 for receiving a goods transfer scheme and dispatching the AGV trolley 21 according to the goods transfer scheme, and a sterilizing device 23 for cleaning and sterilizing the AGV trolley 21. Adopt AGV commodity circulation car and goods shelves as the instrument of transporting the goods, under the condition that does not need artifical navigation, just can dispatch AGV commodity circulation car and accomplish the transportation of goods, practiced thrift the human cost greatly, improved the efficiency of transporting.
Referring to fig. 1, the warehousing environment control module 4 is configured to detect the environmental information of each warehousing point in the warehouse in real time and adjust the environmental parameters of the corresponding warehousing point according to a warehousing scheme. The warehousing environment control module 4 comprises a warehousing environment detection module 41 for detecting the environmental information of each warehousing point in the warehouse in real time and a warehousing environment adjustment module 42 for changing the environmental parameters of the warehousing points. The storage environment detection module 41 includes a temperature and humidity sensor 411, a harmful gas sensor 412, a brightness sensor 413, and a wind speed sensor 414. The storage environment adjusting module 42 includes a temperature control device 421 for controlling the temperature of the storage point, a humidity control device 422 for controlling the humidity of the storage point, an illumination device 423 for adjusting the brightness of the storage point, and a ventilation device 424 for ventilating the storage point. Detect the environment of each storage point in the warehouse in real time through storage environment detection module 41, obtain the temperature of storage point, humidity, wind speed, luminance and harmful gas concentration information, and according to the humiture of storage environment adjustment module to storage point, luminance and harmful gas concentration are regulated and control, wherein the humiture is the key factor that influences the goods and store, and illumination comes according to specific demands during then, real time monitoring harmful gas concentration both can avoid the erosion of harmful gas to the goods, can also protect staff's personal safety.
Referring to fig. 1, the security control module 5 is used for monitoring the warehouse in real time, giving an alarm to an accident, reading the vehicle information entering and exiting the warehouse gate in real time and sending the vehicle information to the goods transfer module 2, reading the goods information entering and exiting the warehouse in real time and sending the goods information to the ordering management module 1, and giving an alarm to an abnormal condition. The security control module 5 comprises an entrance guard device 51 for reading the entering and exiting vehicles, a plurality of monitoring devices 52 respectively positioned at the entrance and exit of the cargo compartment and each storage point, an RFID information reading device 53 positioned at the entrance and exit of the cargo compartment for reading the information of the entering and exiting goods, a security door 54 positioned at the entrance and exit of people in the cargo compartment, a fire smoke detector 55 arranged in the cargo compartment, a flammable gas detector arranged in the cargo compartment and an audible and visual alarm 57 for giving an alarm. The vehicle information of passing in and out of a warehouse door is real-timely transmitted through an access control system, when vehicles for transporting goods in storage and/or vehicles for transporting goods out of the warehouse enter a factory area, the vehicle information is transmitted to the goods transfer module 2, the goods transfer module 2 dispatches the AGV trolley 21 to an unloading point to take goods and/or dispatches the AGV trolley 21 to carry goods corresponding to a storage point to a loading point, and the efficiency of goods storage and/or goods out of the warehouse is improved. The warehouse area is monitored through the arrangement of the monitoring camera, so that workers can conveniently and timely handle various accidents. The RFID information reading device 53 reads the goods information entering and leaving the warehouse and sends the goods information to the ordering management module 1, so that the entering and leaving of the goods can be recorded, meanwhile, the security inspection door 54 can detect the goods which are illegally taken out without authorization, and the goods are effectively prevented from being stolen. The fire smoke detector 55 can timely find the fire in the warehouse and give an alarm through the audible and visual alarm 57, so that the server module and the staff can timely handle the fire.
The embodiment of the application further discloses a warehousing management method based on the Internet of things and the big data. Referring to fig. 2, a warehousing management method based on the internet of things and big data is applied to any one of the warehousing management systems based on the internet of things and big data, and includes the following steps:
s1, obtaining order information: acquiring order information of a transaction ex-warehouse order, a goods-in-warehouse order, a third-party storage in-warehouse order and a third-party storage out-warehouse order, and recording and classifying the order information;
s2, transferring goods: generating a cargo transferring scheme according to the received order information, and dispatching transportation equipment to transfer the cargo from the unloading point to the storage point or transport the cargo from the storage point to the loading point according to the cargo transferring scheme;
s3, generating a warehousing scheme: collecting, classifying and counting the information of the warehoused goods, collecting the storage requirements and the storage scheme information of various goods, and generating a warehousing scheme for the goods stored in each warehousing point;
s4, environment detection and regulation: detecting the environmental information of each storage point in the warehouse in real time, and adjusting the environmental parameters of the corresponding storage points according to the storage scheme;
s5, vehicle access detection: sending the information of the vehicles entering and exiting the warehouse gate in real time, and sending the transportation equipment to an unloading place when the vehicles transporting the warehoused goods enter the factory; meanwhile, the information of the goods entering and exiting the warehouse is read in real time and sent to the ordering management module 1, and an alarm is given to abnormal conditions;
s6, security detection: real-time monitoring is carried out on the warehouse in real time, and an alarm is given out on an accident. The goods transportation scheme is finally generated by receiving, classifying and filing the orders of various goods in and out of the warehouse, acquiring the warehousing position information of the goods out of the warehouse, calling the storage scheme according to the names of the warehoused goods and matching with the vacant warehousing points, and dispatching the transportation equipment to transport the goods in and out of the warehouse, so that the goods are automatically delivered out of the warehouse, manpower and material resources are saved, and the time for delivering the goods out of the warehouse is effectively reduced. AGV dolly is selected for use to the transport means in this embodiment, is equipped with navigation module and keeps away the barrier module on the AGV dolly, can realize the quick automatic warehouse entry of going out of goods. Meanwhile, the warehoused goods are counted and recorded, the storage condition information of various goods is acquired to form a large database, a warehousing scheme is generated for the goods stored in each warehousing point, the environment parameters of each warehousing point are detected and controlled, the goods can obtain a good storage environment, and the warehousing service quality is improved.
The step S3 of collecting, classifying and counting the information of the warehoused goods specifically includes: collecting data of the trade ex-warehouse orders to generate a goods sales prediction curve, further generating goods allowance early warning information and recommended warehousing order information, and pushing the goods allowance early warning information and the recommended warehousing order information to communication equipment of warehouse management personnel. By collecting the data of the order for trading and ex-warehouse, the goods sales prediction curve is analyzed and generated, and then the goods allowance early warning information and the recommended warehousing order information are generated according to the allowance of various goods in the warehouse, the convenience of warehousing management can be improved, the sufficient quantity of various goods for trading in the warehouse is ensured, timely correct goods input and fast goods output are ensured, the warehousing resources are reasonably distributed, and the efficiency and the quality of warehousing management are improved.
Referring to fig. 3, the step S6 of monitoring the cargo compartment in real time specifically includes:
a1, monitoring, namely monitoring and recording all-weather video of the warehouse through monitoring cameras preset at all positions of the warehouse;
a2, detecting fire: the smoke condition in the warehouse is detected in real time through a fire smoke detector 55, and an alarm is given out through an audible and visual alarm 57;
a3, gas detection: detecting whether flammable gas is generated in the warehouse in real time through the flammable gas sensor 56, and giving an alarm through the audible and visual alarm 57;
a4, loss prevention detection: the unauthorized passing of the cargo is detected through the security door 54 disposed at the entrance/exit of the cargo compartment, and an alarm is given through the audible and visual alarm 57
The above examples are only used to illustrate the technical solutions of the present invention, and do not limit the scope of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, fall within the scope of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art may still make various combinations, additions, deletions or other modifications of the features of the embodiments of the present invention according to the situation without conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present invention, and these technical solutions also fall within the protection scope of the present invention.

Claims (10)

1. The utility model provides a warehouse management system based on thing networking and big data which characterized in that: the system comprises an order management module (1), a goods transfer module (2), a big data inventory management module (3), a storage environment control module (4) and a security control module (5), wherein the order management module (1), the goods transfer module (2), the big data inventory management module (3), the storage environment control module (4) and the security control module (5) are in communication connection with each other;
the order management module (1) is used for receiving a transaction ex-warehouse order, a goods-in and warehouse-in order, a third-party storage and warehouse-in order and a third-party storage ex-warehouse order, sending received order information to the goods transfer module (2) and the big data inventory management module (3), and recording and classifying the order information;
the big data inventory management module (3) is used for generating a goods transfer scheme according to received order information sent by the order management module (1), sending the goods transfer scheme to the goods transfer module (2), managing the information of goods which are put in storage, collecting storage requirements and storage scheme information of various goods, generating a storage scheme for the goods stored in each storage point, collecting data of orders for trading out of storage to generate a goods sales prediction curve, and further generating goods allowance early warning information and recommended order information for putting in storage;
the goods transfer module (2) is used for transferring goods from the unloading point to the storage point or transporting the goods from the storage point to the loading point according to the received goods transfer scheme;
the warehousing environment control module (4) is used for detecting the environment information of each warehousing point in the warehouse in real time and adjusting the environment parameters of the corresponding warehousing points according to the warehousing scheme;
the security control module (5) is used for monitoring the warehouse in real time, giving an alarm to an accident, reading the information of vehicles passing in and out of the warehouse gate in real time and sending the information to the goods transfer module (2), reading the information of goods passing in and out of the warehouse in real time and sending the information to the ordering management module (1), and giving an alarm to an abnormal condition.
2. The warehousing management system based on the internet of things and big data as claimed in claim 1, wherein: the order management module (1) comprises a transaction ex-warehouse order module (11), an order module for entering and warehousing (12), a third-party goods warehousing order module (13), a third-party goods ex-warehouse order module (14) and an order recording module (15);
the trade ex-warehouse order module (11) is used for receiving trade ex-warehouse order information and sending the information to the big data inventory management module (3);
the order module (12) for entering goods and warehousing is used for receiving order information for entering goods and warehousing and sending the order information to the big data inventory management module (3);
the third-party goods warehousing order module (13) is used for receiving third-party goods warehousing order information and sending the third-party goods warehousing order information to the big data inventory management module (3);
the third-party goods delivery order module (14) is used for receiving delivery order information of the third-party goods and sending the delivery order information to the big data inventory management module (3);
the order recording module (15) is used for classifying, filing and recording the transaction ex-warehouse order information, the goods in-warehouse order information, the third-party goods warehousing order information and the third-party goods ex-warehouse order information.
3. The warehousing management system based on the internet of things and big data as claimed in claim 1, wherein: the big data inventory management module (3) comprises a warehousing position management module (31), a goods allowance management module (32), a warehousing scheme management module (33) and a goods quality detection module (34);
the warehousing position management module (31) is used for receiving the order information sent by the order management module (1), distributing warehousing positions for warehoused goods, inquiring positions of goods leaving the warehouse, generating a goods transfer scheme and sending the goods transfer scheme to the goods transfer module (2);
the goods allowance management module (32) is used for registering and recording the quantity and position information of goods for transaction in the warehouse, acquiring transaction data of different kinds of goods, generating transaction prediction curves of different kinds of goods according to the transaction data, early warning of insufficient goods allowance and generating a suggested warehousing list according to the transaction prediction curves of the goods;
the warehousing scheme management module (33) is used for receiving the incoming warehousing order information and the third-party warehousing order information, acquiring the weight, volume and type information of the goods, and generating a goods storage scheme according to the large database;
the goods quality detection module (34) is used for recording the production date and the quality guarantee period of goods which are put in storage, generating alarm information for the goods with the quality guarantee period being smaller than a preset threshold value and sending the alarm information to the communication equipment of the warehouse management personnel.
4. The warehousing management system based on the internet of things and big data as claimed in claim 1, wherein: the goods transfer module (2) comprises an AGV trolley (21) for transferring goods, a processor (22) for receiving a goods transfer scheme and dispatching the AGV trolley (21) according to the goods transfer scheme, and a sterilizing device (23) for cleaning and sterilizing the AGV trolley (21).
5. The warehousing management system based on the internet of things and big data as claimed in claim 1, wherein: the warehousing environment control module (4) comprises a warehousing environment detection module (41) for detecting the environmental information of each warehousing point in the warehouse in real time and a warehousing environment adjusting module (42) for changing the environmental parameters of the warehousing points;
the storage environment detection module (41) comprises a temperature and humidity sensor (411), a harmful gas sensor (412), a brightness sensor (413) and an air speed sensor (414);
the storage environment adjusting module (42) comprises a temperature control device (421) for adjusting and controlling the temperature of a storage point, a humidity adjusting and controlling device (422) for controlling the humidity of the storage point, a lighting device (423) for adjusting the brightness of the storage point and a ventilation device (424) for ventilating the storage point.
6. The warehousing management system based on the internet of things and big data as claimed in claim 1, wherein: the security control module (5) comprises an access control device (51) for reading vehicles entering and exiting, a plurality of monitoring devices (52) which are respectively positioned at an inlet and an outlet of a cargo warehouse and each storage point, RFID information reading devices (53) which are positioned at an inlet and an outlet of the cargo warehouse and used for reading information of goods entering and exiting, a security inspection door (54) positioned at a pedestrian access in the cargo warehouse, a fire smoke detector (55) arranged in the cargo warehouse, a combustible gas detector arranged in the cargo warehouse and an audible and visual alarm (57) used for giving an alarm.
7. The warehousing management system based on the internet of things and big data as claimed in claim 3, wherein: the large database inventory management module (3) further comprises a goods stacking module (35), wherein the goods stacking module (35) is used for acquiring weight, volume and type information of goods to generate a stacking scheme, and the stacking scheme is generated according to the rule that heavy goods do not press light goods, heavy goods with large volume do not press heavy goods with small volume, light goods with large volume do not press light goods with small volume, and the stacking height of the goods is smaller than the limit height.
8. A warehousing management method based on the Internet of things and big data is applied to the warehousing management system based on the Internet of things and the big data as claimed in any one of claims 1 to 7, and is characterized by comprising the following steps:
acquiring order information of a transaction ex-warehouse order, a goods-in-warehouse order, a third-party storage in-warehouse order and a third-party storage out-warehouse order, and recording and classifying the order information;
generating a cargo transferring scheme according to the received order information, and dispatching transportation equipment to transfer the cargo from the unloading point to the storage point or transport the cargo from the storage point to the loading point according to the cargo transferring scheme;
collecting, classifying and counting the information of the warehoused goods, collecting the storage requirements and the storage scheme information of various goods, and generating a warehousing scheme for the goods stored in each warehousing point;
detecting the environmental information of each storage point in the warehouse in real time, and adjusting the environmental parameters of the corresponding storage points according to the storage scheme;
sending the information of the vehicles entering and exiting the warehouse gate in real time, and sending the transportation equipment to an unloading place when the vehicles transporting the warehoused goods enter the factory; meanwhile, the information of the goods entering and exiting the warehouse is read in real time and sent to the ordering management module, and an alarm is given to abnormal conditions;
real-time monitoring is carried out on the warehouse in real time, and an alarm is given out on an accident.
9. The warehousing management method based on the internet of things and big data as claimed in claim 1, wherein the collecting, classifying and counting the information of warehoused goods further comprises: collecting data of the trade ex-warehouse orders to generate a goods sales prediction curve, further generating goods allowance early warning information and recommended warehousing order information, and pushing the goods allowance early warning information and the recommended warehousing order information to communication equipment of warehouse management personnel.
10. The warehousing management method based on the internet of things and big data as claimed in claim 1, characterized in that: carry out real-time supervision to the warehouse in real time, send out police to the accident and specifically include:
monitoring, namely monitoring and recording all-weather video of the warehouse through monitoring cameras preset at all positions of the warehouse;
and (3) detecting a fire: the smoke condition in the cargo compartment is detected in real time through a fire smoke detector (55), and an alarm is given out through an audible and visual alarm (57);
gas detection: detecting whether flammable gas exists in the cargo bin in real time through a flammable gas sensor (56), and giving an alarm through an audible and visual alarm (57);
loss prevention detection: unauthorized passing of the cargo is detected through a security door (54) disposed at the entrance and exit of the cargo compartment, and an alarm is given through an audible and visual alarm (57).
CN202111477267.6A 2021-12-06 2021-12-06 Storage management system and method based on Internet of things and big data Pending CN114154931A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111477267.6A CN114154931A (en) 2021-12-06 2021-12-06 Storage management system and method based on Internet of things and big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111477267.6A CN114154931A (en) 2021-12-06 2021-12-06 Storage management system and method based on Internet of things and big data

Publications (1)

Publication Number Publication Date
CN114154931A true CN114154931A (en) 2022-03-08

Family

ID=80452923

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111477267.6A Pending CN114154931A (en) 2021-12-06 2021-12-06 Storage management system and method based on Internet of things and big data

Country Status (1)

Country Link
CN (1) CN114154931A (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115222339A (en) * 2022-09-16 2022-10-21 广东广物互联网科技有限公司 Cloud warehouse data analysis system and method based on cloud logistics environment
CN115310896A (en) * 2022-07-05 2022-11-08 南京邮电大学 Logistics information management method based on big data
CN115511427A (en) * 2022-11-23 2022-12-23 广州卓铸网络科技有限公司 Warehouse management system based on two-dimensional code
CN115759648A (en) * 2022-11-16 2023-03-07 江苏倍斯库智能科技有限公司 Automatic logistics warehousing system and management method
CN116090962A (en) * 2023-04-10 2023-05-09 江苏亚东朗升国际物流有限公司 Intelligent warehouse system
CN116664032A (en) * 2023-07-31 2023-08-29 广州市康远物联科技有限公司 Warehouse transportation management system
CN116843269A (en) * 2023-09-01 2023-10-03 北京大学 Intelligent unmanned retail warehouse system based on Internet of things
CN117114550A (en) * 2023-10-17 2023-11-24 米烁网络科技(广州)有限公司 Commodity supply chain intelligent supervision system based on internet
CN117114534A (en) * 2023-08-28 2023-11-24 浙江中之杰智能系统有限公司 Block chain-based product factory internal logistics management method and system

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115310896A (en) * 2022-07-05 2022-11-08 南京邮电大学 Logistics information management method based on big data
CN115310896B (en) * 2022-07-05 2023-05-12 南京邮电大学 Logistics information management method based on big data
CN115222339A (en) * 2022-09-16 2022-10-21 广东广物互联网科技有限公司 Cloud warehouse data analysis system and method based on cloud logistics environment
CN115759648A (en) * 2022-11-16 2023-03-07 江苏倍斯库智能科技有限公司 Automatic logistics warehousing system and management method
CN115511427B (en) * 2022-11-23 2023-04-07 广州卓铸网络科技有限公司 Warehouse management system based on two-dimensional code
CN115511427A (en) * 2022-11-23 2022-12-23 广州卓铸网络科技有限公司 Warehouse management system based on two-dimensional code
CN116090962A (en) * 2023-04-10 2023-05-09 江苏亚东朗升国际物流有限公司 Intelligent warehouse system
CN116090962B (en) * 2023-04-10 2024-01-16 江苏亚东朗升国际物流有限公司 Intelligent warehouse system
CN116664032A (en) * 2023-07-31 2023-08-29 广州市康远物联科技有限公司 Warehouse transportation management system
CN117114534A (en) * 2023-08-28 2023-11-24 浙江中之杰智能系统有限公司 Block chain-based product factory internal logistics management method and system
CN117114534B (en) * 2023-08-28 2024-03-26 浙江中之杰智能系统有限公司 Block chain-based product factory internal logistics management method and system
CN116843269A (en) * 2023-09-01 2023-10-03 北京大学 Intelligent unmanned retail warehouse system based on Internet of things
CN116843269B (en) * 2023-09-01 2023-11-17 北京大学 Intelligent unmanned retail warehouse system based on Internet of things
CN117114550A (en) * 2023-10-17 2023-11-24 米烁网络科技(广州)有限公司 Commodity supply chain intelligent supervision system based on internet
CN117114550B (en) * 2023-10-17 2024-02-02 米烁网络科技(广州)有限公司 Commodity supply chain intelligent supervision system based on internet

Similar Documents

Publication Publication Date Title
CN114154931A (en) Storage management system and method based on Internet of things and big data
US11443396B2 (en) Systems and methods for prioritizing trailers at receiving facility
CN104599102B (en) A kind of Cold Chain Logistics storage supervisory systems and method
US11030567B1 (en) Identification and association of refrigerated containers with dispatch orders
CN112714746B (en) Unmanned distribution system based on unmanned distribution vehicle
CN107977815A (en) Warehouse management system and method
CN107169717A (en) Logistics transportation methods, devices and systems based on cloud platform
AU2020264282A1 (en) Systems and methods for optimization of a product inventory by intelligent adjustment of inbound purchase orders
CN109146374A (en) A kind of intelligent repository Integration Data Model method
CN110348613A (en) Distribution Center Intelligent logistics management method and system
CN113077211A (en) Transportation financial asset monitoring system and monitoring method based on big data and intelligent Internet of things
CN113592440B (en) Intelligent logistics pickup analysis system and method based on big data
CN114386917A (en) Factory logistics scheduling system and method
CN111861314A (en) Method, device and system for supervising dangerous waste based on ultrahigh frequency RFID
CN115079655A (en) Digital intelligent workshop system based on data analysis
US20090307265A1 (en) Method of operating a warehouse
CN111815231A (en) Intelligent carpooling method and system for logistics platform
CN111429067A (en) Intelligent logistics management system
CN111598500A (en) Production material management system based on micro-service architecture
CN115310896B (en) Logistics information management method based on big data
CN110969398B (en) Railway container information management method and system
CN113723919B (en) Management system based on cloud platform
CN116569118A (en) Information management method and device
CN111445184A (en) Logistics transportation supervisory systems based on big data
CN214042367U (en) Electronic commerce logistics distribution system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination