Warehousing identification and storage management system based on intelligent refrigeration house

Abstract

The invention discloses a warehousing identification and storage management system based on an intelligent refrigeration house, and relates to the technical field of refrigeration house goods identification and storage, and the system comprises a goods identification and storage module, a real-time dynamic adjustment module and a storage planning management module. According to the method, the storage location is screened through the preset rule, and the storage scheme is intelligently determined according to the matching condition of the storage space of the storage location and the cargo quantity, so that the utilization rate of the storage location is improved, and the suitability of cargo storage is guaranteed; meanwhile, the storage planning management module calculates the cargo use frequency by using historical data, classifies the cargos, particularly further analyzes the storage demand conflict condition for high-frequency storage cargos, optimizes the storage planning by calculating the selection value of the screened storage location, more reasonably arranges the storage location according to the cargo characteristics and the use rule, and improves the storage efficiency. And the overall utilization efficiency of refrigeration house resources is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cold storage cargo identification and storage, and in particular to a storage identification and storage management system based on intelligent cold storage. Background Art

[0002] With the development of industries such as cold chain logistics, the storage management requirements of cold storage are becoming increasingly complex.

[0003] According to the patent application with publication number CN210428502U, an inbound and outbound warehouse management system based on RFID technology is disclosed. It sets up several RFID antennas in the inbound and outbound channels, and analyzes the movement direction of items with RFID tags in the inbound and outbound channels based on the changes in the strength of the radio frequency signals transmitted back by the RFID tags through the inbound and outbound channels and the changes in the antenna number of the radio frequency signals, thereby assisting the system in determining the inbound and outbound status of the items.

[0004] However, traditional cold storage relies heavily on manual operations and rudimentary information recording for incoming goods identification and storage management. This makes it difficult to accurately and efficiently handle the storage of large quantities of goods, and it also fails to dynamically optimize storage layouts in real time. Faced with goods of varying types, quantities, and storage requirements, traditional management methods can easily lead to problems such as inefficient storage space utilization and inefficient goods entry and exit. Furthermore, the lack of effective analysis of historical goods usage data and the resulting storage planning makes it difficult to adapt to changing market demands and improve the overall efficiency of cold storage operations. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides an incoming inventory identification and storage management system based on intelligent cold storage, which solves the problems of difficulty in accurately and efficiently handling the storage of large quantities of goods and the inability to dynamically optimize the storage layout in real time.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an entry identification and storage management system based on intelligent cold storage, comprising:

[0007] The cargo identification and storage module is used to store and manage the cargo information transmitted by the incoming cargo information collection module. It selects the storage locations to be analyzed based on the cargo storage requirements in the cargo information, and pre-selects the storage locations based on the maximum storage capacity. Then, based on whether the pre-selected storage locations can meet the cargo storage requirements, it generates a non-satisfaction analysis signal, and analyzes the pre-selected storage locations to generate cargo incoming storage information.

[0008] The real-time dynamic adjustment module is used to analyze the acquired goods storage information in real time, match the outgoing goods with the incoming goods, and determine whether the two meet each other. If they do, real-time adjustment information is generated. If not, the storage location is screened based on the incoming goods as the standard, and real-time adjustment information is generated and transmitted to the storage information display module at the same time.

[0009] The storage planning management module is used to plan the storage of goods received by the goods identification and storage module, calculate the usage frequency of different stored goods based on historical data, and classify them into high-frequency and normal storage goods;

[0010] Analyze high-frequency storage goods and further classify them into goods that affect high-frequency storage and goods that do not affect high-frequency storage according to storage requirements. For the latter, filter the storage locations according to storage requirements, and calculate their selection values based on the distance between the filter locations and the exit, as well as the size and type of the stored goods. Generate storage planning information with the minimum selection value and transmit it to the storage information display module at the same time.

[0011] As a further solution of the present invention, it also includes an incoming goods information collection module and a storage information display module;

[0012] The incoming goods information collection module is used to read the goods information on the RFID tag and transmit the goods information to the goods identification and storage module. The goods information includes the type of goods, the quantity of goods and the corresponding goods storage requirements;

[0013] The storage information display module is used to display real-time adjustment information and storage planning information to corresponding management personnel.

[0014] As a further solution of the present invention, the specific method in which the cargo identification and storage module screens the storage locations to be analyzed according to the cargo storage requirements in the cargo information is as follows:

[0015] Traverse all storage locations, numbered i, and i = 1, 2, ..., j, where j represents the number of storage locations. Obtain the total storage capacity and storage conditions of each storage location i. Compare the goods storage demand with each storage location i, and screen out the storage locations that meet the demand. These are recorded as the storage locations to be analyzed a, where a = 1, 2, ..., n, where n is the number of storage locations to be analyzed. Find the storage location with the largest storage capacity as the pre-selected storage location.

[0016] As a further solution of the present invention, the specific manner in which the goods identification and storage module generates the unsatisfactory analysis signal and the goods warehousing storage information is as follows:

[0017] Get the pre-selected storage location and compare its storage capacity with the quantity of goods. If the storage capacity of the storage location meets the quantity of goods, generate a quantity satisfaction signal, directly store the goods and generate storage information;

[0018] If it is not satisfied, an unsatisfied analysis signal is generated, the excess goods quantity is calculated, the storage locations to be analyzed are screened accordingly, and the storage location closest to the pre-selected storage location is selected to store the remaining goods, and the incoming storage information is generated. At the same time, the information is transmitted to the real-time dynamic adjustment module and the storage planning management module.

[0019] As a further solution of the present invention, the specific manner in which the real-time dynamic adjustment module performs real-time analysis on the acquired goods warehousing storage information is as follows:

[0020] Monitor outbound and inbound goods in real time, obtain information such as the location, type, and quantity of outbound goods, and simultaneously obtain information on inbound goods, and match the two. If a match occurs, the inbound goods are stored in the original storage location of the outbound goods, generating real-time adjustment information;

[0021] If there is no match, the storage location is screened according to the demand for incoming goods, and the real-time adjustment information is generated in the way that the goods identification storage module generates incoming information and transmits it to the storage information display module.

[0022] As a further solution of the present invention, the storage planning management module performs storage planning on the goods warehousing storage information transmitted by the goods identification storage module in a specific manner as follows:

[0023] Obtain all stored goods with labels k, where k = 1, 2, ..., p, where p represents the type of stored goods. Calculate the usage frequency of goods k within time t based on historical data, denoted as Rk. Compare the obtained usage frequency Rk with a preset frequency Ry, where the specific value of the preset frequency Ry is set by the operator.

[0024] If the usage frequency Rk≥preset frequency Ry, the corresponding stored goods k are marked as high-frequency stored goods. Conversely, if the usage frequency Rk<preset frequency Ry, the corresponding stored goods k are marked as normal stored goods.

[0025] As a further solution of the present invention, the storage planning management module analyzes high-frequency storage goods in the following specific manner:

[0026] According to the storage demand classification, the goods that affect high-frequency storage and the goods that do not affect high-frequency storage are obtained. At the same time, all goods that do not affect high-frequency storage and their corresponding storage demands are obtained. According to the storage demand, the storage location i is filtered to obtain the filtered storage location. At the same time, the position of the filtered storage location i is obtained, and the selection value of the filtered storage location i is calculated.

[0027] As a further solution of the present invention, the specific method of calculating the selection value of the screening storage location by the storage planning management module is:

[0028] Get the outbound port and the distance between the screening location i and the outbound port, record it as Di, and get the size and type of the goods stored in the screening location i. Normalize the obtained size and type to get the diversity value Yi of the stored goods. Then calculate the sum of the distance Di and the diversity value Yi. Calculate the selection value Xi corresponding to the screening location i according to the formula Xi = Di × α + Yi × β, where α and β are the corresponding weights.

[0029] Then, the selection location corresponding to the smallest value Xi is used as the standard to manage the storage of goods that do not affect high-frequency storage, and storage planning information is generated at the same time.

[0030] The present invention provides an entry identification and storage management system based on intelligent cold storage. Compared with the existing technology, it has the following advantages:

[0031] The present invention can comprehensively consider the storage needs of goods and detailed information of storage locations through the cargo identification and storage module, screen storage locations through preset rules, and intelligently determine the storage plan based on the matching between the storage capacity of the storage location and the quantity of goods. This effectively avoids the blindness of traditional storage location allocation, improves storage location utilization, ensures the suitability of cargo storage, and reduces the risk of cargo damage.

[0032] The present invention monitors the in-and-out situation of goods in real time through a real-time dynamic adjustment module, matches the incoming goods with the outgoing goods information, and can quickly and flexibly adjust the storage layout according to the matching results. If the match is successful, the vacant storage space is directly used to store the goods; if it does not match, the storage space is re-screened. This real-time dynamic adjustment mechanism enables the cold storage to quickly adapt to inventory changes, improves the efficiency of in-and-out storage, and optimizes the overall operation of the cold storage. At the same time, the storage planning management module uses historical data to calculate the frequency of use of goods and classify the goods. In particular, it further analyzes the storage demand conflict for high-frequency storage goods, and optimizes the storage plan by calculating the selection value of the screening storage space. According to the characteristics of the goods and the rules of use, the storage location is more reasonably arranged, thereby improving the overall utilization efficiency of the cold storage resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a block diagram of the system principle of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0035] Example 1

[0036] See also Figure 1 This application provides an incoming goods identification and storage management system based on intelligent cold storage, including: incoming goods information collection module, goods identification and storage module, real-time dynamic adjustment module, storage planning and management module and storage information display module, and combined with Figure 1 It can be known that the functional modules are electrically connected in a unidirectional manner.

[0037] The incoming goods information collection module is used to read the goods information on the RFID tag and transmit the goods information to the goods identification and storage module. The specific goods information includes the type of goods, the quantity of goods and the corresponding goods storage requirements.

[0038] The cargo identification and storage module is used to perform storage management based on the obtained cargo information and the storage location information of the intelligent cold storage. The specific storage management method is as follows:

[0039] Traverse all storage locations in the cold storage and assign each location a unique label i, where i = 1, 2, ..., j, where j represents the number of storage locations. For each storage location i, obtain its detailed information, including the total storage capacity of the storage location (unit: cubic meters or kilograms, etc., depending on the measurement method of the goods) and specific storage conditions (such as temperature range: -18°C to -22°C for frozen goods, humidity range: 40%-60% for humidity-sensitive goods, etc.).

[0040] The system reads cargo information, including its storage requirements. Based on pre-set rules, it compares the cargo storage requirements with each storage location i. If the cargo has special temperature requirements, such as frozen foods requiring storage below -18°C, it selects cold storage locations with temperatures within this range. For large or heavy cargo, it selects locations with high carrying capacity and ample space.

[0041] If the cargo turnover rate is high, priority is given to the storage locations close to the cold storage entrance and exit to reduce handling time and improve the efficiency of storage in and out. After screening, the storage locations that meet the cargo storage requirements are marked as storage locations to be analyzed, and the label is recorded as a, a = 1, 2, ..., n, where n is the number of storage locations to be analyzed. Among the storage locations a to be analyzed, the storage location with the largest total storage capacity is found and recorded as the pre-selected storage location. The storage capacity of the pre-selected storage location is matched with the cargo quantity in the cargo information. If the storage capacity of the pre-selected storage location is greater than or equal to the cargo quantity, the system generates a quantity satisfaction signal, directly arranges the storage of the cargo in the pre-selected storage location, and generates detailed cargo storage information, including the storage time, cargo name, storage location number, etc.

[0042] If the storage capacity of the pre-selected storage location is less than the quantity of goods, the system generates an unsatisfied analysis signal and proceeds to the next step of analysis to calculate the excess quantity of goods corresponding to the pre-selected storage location, that is, the quantity of goods minus the storage capacity of the pre-selected storage location.

[0043] Using the locations to be analyzed as the range, the excess inventory as the criterion, and the closest location to the pre-selected location as the consideration, we select a suitable location for storing the remaining inventory. Assume that the closest location to the pre-selected location that meets the requirements is location 5.

[0044] After completing the storage arrangement, the system generates complete storage information for incoming goods, including the distribution of goods across different storage locations. This information is then transmitted to the real-time dynamic adjustment module for subsequent optimization of the cold storage layout. For example, if some goods are stored in pre-selected storage location 3 and some in storage location 5 to be analyzed, the real-time dynamic adjustment module can use this information to optimize the cold storage layout.

[0045] A real-time dynamic adjustment module is used to perform real-time analysis on the acquired goods entry storage information, to monitor the outgoing and incoming goods in real time, and to obtain the outgoing information corresponding to the outgoing goods, and the outgoing information includes the outgoing location, the type of outgoing goods and the outgoing quantity. Then, the incoming information corresponding to the incoming goods is obtained, and the incoming goods are matched with the outgoing information to determine whether the two satisfy each other. If so, the incoming goods are stored in the storage location corresponding to the outgoing goods, and real-time adjustment information is generated. If not, the incoming goods are stored and managed in real time, and the storage locations are screened based on the incoming goods, and the corresponding real-time adjustment information is generated. The method of generating the real-time adjustment information here is the same as the method of generating the goods entry storage information by the goods identification and storage module. The generated real-time adjustment information is then transmitted to the storage information display module.

[0046] The storage information display module is used to display the acquired real-time adjustment information to the corresponding management personnel.

[0047] Example 2

[0048] As the second embodiment of the present invention, it is implemented on the basis of the first embodiment, and differs from the first embodiment in the following aspects:

[0049] The storage planning management module is used to perform storage planning for the acquired goods storage information, obtain all storage locations i, and simultaneously obtain the stored goods corresponding to the storage location i and the corresponding goods information. Then, the module obtains the historical data corresponding to the stored goods and calculates the usage frequency of the stored goods based on the historical data. The specific calculation method is as follows:

[0050] Obtain all stored goods with labels k, where k = 1, 2, ..., p, where p represents the type of stored goods. Then, based on historical data, obtain the number of times stored goods k have been used within time t and calculate the corresponding usage frequency Rk. The obtained usage frequency Rk is compared with a preset frequency Ry, which is set by the operator. If the usage frequency Rk is greater than the preset frequency Ry, the corresponding stored goods k are marked as high-frequency stored goods. Conversely, if the usage frequency Rk is less than the preset frequency Ry, the corresponding stored goods k are marked as normal stored goods.

[0051] Then, the classified high-frequency storage goods are obtained, and the storage requirements corresponding to the high-frequency storage goods are analyzed. Here, whether there is a conflict in the storage requirements between the storage goods is analyzed, and the goods that affect high-frequency storage and those that do not are classified according to the storage requirements. At the same time, all goods that do not affect high-frequency storage and their corresponding storage requirements are obtained, and storage location i is filtered according to the storage requirements to obtain the filtered storage location. At the same time, the position of the filtered storage location i is obtained, and the selection value of the filtered storage location i is calculated. The specific calculation method is as follows:

[0052] Get the outbound port and the distance between the selected storage location i and the outbound port, which is recorded as Di, where it is the distance. Get the size and type of the goods stored in the selected storage location i, and normalize the obtained size and type to obtain the diversity value Yi of the stored goods. The specific normalization method is:

[0053] For the goods stored in the selected storage location i, their dimensions (such as length, width, and height) and type information are obtained respectively. The dimension data is normalized to map the dimension values of all goods to the interval [0, 1]. For example, if the maximum length of goods in the storage location is Lmax and the length of a certain goods is Lj, then the length after normalization is For the types of goods, you can quantify them by setting weights based on the number of types. Assume that there are three different types of goods stored in the warehouse, namely A, B, and C. If the weight of A is set to 0.2, the weight of B is set to 0.3, and the weight of C is set to 0.5, and the current analyzed goods is B, then its type quantization value is 0.3. The normalized size data and the quantified type data are combined to calculate the diversity value Yi of the stored goods;

[0054] Then calculate the sum of the distance Di and the diversity value Yi, and calculate the selection value Xi corresponding to the screening location i according to the formula Xi = Di × α + Yi × β, where α and β are the corresponding weights;

[0055] Then, the selection location corresponding to the minimum value Xi is used as the standard to perform storage management on the goods that do not affect high-frequency storage. At the same time, storage planning information is generated and transmitted to the storage information display module.

[0056] The storage information display module is used to display the acquired storage planning information to the corresponding management personnel.

[0057] Example 3

[0058] As the third embodiment of the present invention, the focus is on combining the implementation processes of the first and second embodiments.

[0059] Some of the data in the above formulas are calculated based on their numerical values and are not substituted into parameter units for calculation. At the same time, the contents not described in detail in this specification belong to the existing technology known to those skilled in the art.

[0060] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The storage and identification management system based on intelligent cold storage is characterized by: include: The cargo identification and storage module is used to store and manage the cargo information transmitted by the incoming cargo information collection module. It selects the storage locations to be analyzed based on the cargo storage requirements in the cargo information, and pre-selects the storage locations based on the maximum storage capacity. Then, based on whether the pre-selected storage locations can meet the cargo storage requirements, it generates a non-satisfaction analysis signal, and analyzes the pre-selected storage locations to generate cargo incoming storage information. The real-time dynamic adjustment module is used to analyze the acquired goods storage information in real time, match the outgoing goods with the incoming goods, and determine whether the two meet each other. If they do, real-time adjustment information is generated. If not, the storage location is screened based on the incoming goods as the standard, and real-time adjustment information is generated and transmitted to the storage information display module at the same time. The storage planning management module is used to plan the storage of goods received by the goods identification and storage module, calculate the usage frequency of different stored goods based on historical data, and classify them into high-frequency and normal storage goods; Analyze high-frequency storage goods and further classify them into goods that affect high-frequency storage and goods that do not affect high-frequency storage according to storage requirements. For the latter, filter the storage locations according to storage requirements, and calculate their selection values based on the distance between the filter locations and the exit, as well as the size and type of the stored goods. Generate storage planning information with the minimum selection value and transmit it to the storage information display module at the same time.

2. The intelligent cold storage-based storage management system according to claim 1 is characterized in that: It also includes an incoming goods information collection module and a storage information display module; The incoming goods information collection module is used to read the goods information on the RFID tag and transmit the goods information to the goods identification and storage module. The goods information includes the type of goods, the quantity of goods and the corresponding goods storage requirements; The storage information display module is used to display real-time adjustment information and storage planning information to corresponding management personnel.

3. The intelligent cold storage-based storage management system according to claim 1 is characterized in that: The specific method in which the cargo identification and storage module selects storage locations according to the cargo storage requirements in the cargo information to obtain the storage locations to be analyzed is: Traverse all storage locations, numbered i, and i = 1, 2, ..., j, where j represents the number of storage locations. Obtain the total storage capacity and storage conditions of each storage location i. Compare the goods storage demand with each storage location i, and screen out the storage locations that meet the demand. These are recorded as the storage locations to be analyzed a, where a = 1, 2, ..., n, where n is the number of storage locations to be analyzed. Find the storage location with the largest storage capacity as the pre-selected storage location.

4. The storage identification and storage management system based on intelligent cold storage according to claim 1 is characterized in that: The specific method for the cargo identification and storage module to generate the unsatisfactory analysis signal and cargo storage information is as follows: Get the pre-selected storage location and compare its storage capacity with the quantity of goods. If the storage capacity of the storage location meets the quantity of goods, generate a quantity satisfaction signal, directly store the goods and generate storage information; If it is not satisfied, an unsatisfied analysis signal is generated, the excess goods quantity is calculated, the storage locations to be analyzed are screened accordingly, and the storage location closest to the pre-selected storage location is selected to store the remaining goods, and the incoming storage information is generated. At the same time, the information is transmitted to the real-time dynamic adjustment module and the storage planning management module.

5. The intelligent cold storage-based storage management system according to claim 1 is characterized in that: The specific method of the real-time dynamic adjustment module to perform real-time analysis on the acquired goods storage information is as follows: Monitor outbound and inbound goods in real time, obtain information such as the location, type, and quantity of outbound goods, and simultaneously obtain information on inbound goods, and match the two. If a match occurs, the inbound goods are stored in the original storage location of the outbound goods, generating real-time adjustment information; If there is no match, the storage location is screened according to the demand for incoming goods, and the real-time adjustment information is generated in the way that the goods identification storage module generates incoming information and transmits it to the storage information display module.

6. The intelligent cold storage-based storage management system according to claim 1 is characterized in that: The specific method in which the storage planning management module performs storage planning on the goods warehousing storage information transmitted by the goods identification storage module is as follows: Obtain all stored goods with labels k, where k = 1, 2, ..., p, where p represents the type of stored goods. Calculate the usage frequency of goods k within time t based on historical data, denoted as Rk. Compare the obtained usage frequency Rk with a preset frequency Ry, where the specific value of the preset frequency Ry is set by the operator. If the usage frequency Rk≥preset frequency Ry, the corresponding stored goods k are marked as high-frequency stored goods. Conversely, if the usage frequency Rk<preset frequency Ry, the corresponding stored goods k are marked as normal stored goods.

7. The intelligent cold storage-based storage management system according to claim 1 is characterized in that: The specific method in which the storage planning management module analyzes high-frequency storage goods is as follows: According to the storage demand classification, the goods that affect high-frequency storage and the goods that do not affect high-frequency storage are obtained. At the same time, all goods that do not affect high-frequency storage and their corresponding storage demands are obtained. According to the storage demand, the storage location i is filtered to obtain the filtered storage location. At the same time, the position of the filtered storage location i is obtained, and the selection value of the filtered storage location i is calculated.

8. The intelligent cold storage-based storage management system according to claim 7 is characterized in that: The specific method for the storage planning management module to calculate the selection value of the screening storage location is: Get the outbound port and the distance between the screening location i and the outbound port, record it as Di, and get the size and type of the goods stored in the screening location i. Normalize the obtained size and type to get the diversity value Yi of the stored goods. Then calculate the sum of the distance Di and the diversity value Yi. Calculate the selection value Xi corresponding to the screening location i according to the formula Xi = Di × α + Yi × β, where α and β are the corresponding weights. Then, the selection location corresponding to the smallest value Xi is used as the standard to manage the storage of goods that do not affect high-frequency storage, and storage planning information is generated at the same time.

Images