Goods warehouse management method and system and storage medium
Through automated warehousing management methods, the acceptance status, category status and stored process data of textile goods are obtained and compared, and the problem of relying on manual operations in the existing technology is solved, the efficiency and accuracy of warehousing management are improved, and the completeness of data recording and traceability is achieved.
Patent Information
- Application Number
- CN202510155054.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-12
- Publication Date
- 2025-05-16
- Estimated Expiration
- 2045-02-12
AI Technical Summary
The existing technology relies on manual operations in cargo warehousing management, lacks intelligent and automated means, which leads to inefficient efficiency, high error rate, and the inability to fully utilize intelligent and automated means to support management work, limiting the modernization level of warehousing management.
By obtaining the acceptance status, category status and stored process data set of textile goods to be stored, comparing and judging, an automated warehousing management process is realized. Specific steps include acceptance status evaluation, appropriate storage area comparison, storage process judgment and registration and upload.
It realizes automated warehousing management, reduces manual operations and human errors, improves work efficiency and accuracy, establishes a complete data recording and traceability system, and improves the traceability and data security of warehousing management.
Smart Images

Figure CN120013426A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of warehouse data processing, and in particular to a cargo warehouse management method, system and storage medium. Background Art
[0002] With the development of economy and the improvement of people's living standards, textiles, as basic necessities of life, are in great demand in the market. In order to meet market demand and improve competitiveness, textile enterprises need to establish an efficient warehouse management system. Textiles are susceptible to moisture and damage, and require special warehouse management methods to ensure the quality and integrity of goods. How to effectively control these problems during the storage process, improve the shelf life of textiles and reduce losses has become a research focus. The textile industry is a typical supply chain intensive industry, involving raw material procurement, production and processing, warehouse management, sales and distribution, etc. Optimizing each link of warehouse management to achieve efficient textile warehouse management is an important research direction.
[0003] Nowadays, there are still some shortcomings in the research on cargo warehousing management methods. Specifically, traditional cargo warehousing management methods still rely heavily on manual operations and lack intelligent and automated means. Traditional manual operations are inefficient and have high error rates, and lack the support of data analysis and intelligent management, which is not conducive to improving warehousing management efficiency and reducing costs. It fails to fully utilize intelligent and automated means to support management work, which limits the modernization level of warehousing management and reduces the improvement of management efficiency and accuracy. Summary of the invention
[0004] In view of the deficiencies in the prior art, the present invention provides a cargo warehousing management method, system and storage medium, which can effectively solve the problems involved in the above-mentioned background technology.
[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides a cargo warehousing management method, comprising the following steps: obtaining an acceptance status data set of textile goods to be stored, and judging whether the textile goods to be stored can be successfully accepted based on the obtained acceptance status data set of textile goods to be stored; obtaining a category status data set of textile goods to be stored for successfully accepted textile goods to be stored, and obtaining a suitable storage area for the textile goods to be stored based on the obtained category status data set of textile goods to be stored; obtaining a storage process data set of textile goods to be stored, and judging whether the storage of the textile goods to be stored is successful based on the obtained storage process data set of textile goods to be stored; registering the successfully stored textile goods to be stored and uploading the registration records, obtaining a registration upload data set of textile goods to be stored, and judging whether the storage of the textile goods to be stored is successful based on the obtained registration upload data set of textile goods to be stored.
[0006] As a further method, the data set of acceptance status of textile goods to be stored includes the proportion of damaged fabrics in the random inspection of textile goods to be stored, and the ratio of the number of textile goods to be stored to the number of textile goods to be received.
[0007] As a further method, based on the acquired acceptance status data set of the textile goods to be entered, it is judged whether the textile goods to be entered can be successfully accepted. The specific analysis process is: based on the acquired acceptance status data set of the textile goods to be entered, a comprehensive analysis is performed to obtain an acceptance status evaluation value of the textile goods to be entered, and the acceptance status evaluation value of the textile goods to be entered is used as an analysis basis for judging whether the textile goods to be entered can be successfully accepted; the acceptance status evaluation value of the textile goods to be entered is compared with the acceptance status definition evaluation value of the textile goods to be entered stored in the database; if the acceptance status evaluation value of the textile goods to be entered is higher than or equal to the acceptance status definition evaluation value of the textile goods to be entered, then the textile goods to be entered corresponding to the acceptance status evaluation value of the textile goods to be entered can be successfully accepted; if the acceptance status evaluation value of the textile goods to be entered is lower than the acceptance status definition evaluation value of the textile goods to be entered, then the textile goods to be entered corresponding to the acceptance status evaluation value of the textile goods to be entered cannot be successfully accepted.
[0008] As a further method, based on the acquired data set of the category status of the textile goods to be stored, a suitable storage area for the textile goods to be stored is obtained by comparison, and the specific analysis process is as follows: for the successfully accepted textile goods to be stored, a data set of the category status of the textile goods to be stored is obtained, and the data set of the category status of the textile goods to be stored specifically includes the total weight of the textile goods to be stored, the total number of the textile goods to be stored, the volume of a single piece of the textile goods to be stored, and the most suitable storage humidity for the textile goods to be stored; based on the acquired data set of the category status of the textile goods to be stored, a comprehensive analysis is performed to obtain a category status characteristic value of the textile goods to be stored, and the category status characteristic value of the textile goods to be stored is used as an analysis basis for comparing and obtaining a suitable storage area for the textile goods to be stored; the storage areas corresponding to the category status characteristic values of the textile goods to be stored stored in the database of the category status characteristic values of the textile goods to be stored are compared to obtain the storage area corresponding to the category status characteristic value of the textile goods to be stored, and the storage area corresponding to the category status characteristic value of the textile goods to be stored represents a suitable storage area for the textile goods to be stored corresponding to the category status characteristic value of the textile goods to be stored.
[0009] As a further method, based on the acquired data set of the storage process of the textile goods to be stored, it is judged whether the storage of the textile goods to be stored is successful. The specific analysis process is: obtaining the data set of the storage process of the textile goods to be stored, the data set of the storage process of the textile goods to be stored specifically includes the storage time of the textile goods to be stored, the number of damaged goods during the storage operation of the textile goods to be stored, and the deviation angle between the actual driving direction of the transportation vehicle and the prescribed driving direction during the storage process of the textile goods to be stored; based on the acquired data set of the storage process of the textile goods to be stored, a comprehensive analysis is performed to obtain the characteristic value of the storage process of the textile goods to be stored, and the storage process of the textile goods to be stored is analyzed. The characteristic value is used as an analysis basis for judging whether the storage of the textile goods to be entered is successful; the characteristic value of the storage process of the textile goods to be entered is compared with the reference characteristic value of the storage process of the textile goods to be entered stored in the database; if the characteristic value of the storage process of the textile goods to be entered is higher than or equal to the reference characteristic value of the storage process of the textile goods to be entered, the storage of the textile goods to be entered corresponding to the characteristic value of the storage process of the textile goods to be entered is successful; if the characteristic value of the storage process of the textile goods to be entered is lower than the reference characteristic value of the storage process of the textile goods to be entered, the storage of the textile goods to be entered corresponding to the characteristic value of the storage process of the textile goods to be entered is not successful and needs to be stored again.
[0010] As a further method, the storage process characteristic value of the textile goods to be stored is analyzed as follows: ; In the formula, is the storage process characteristic value of the textile goods to be stored. The storage time of the textile goods to be stored. The number of damaged goods during the storage operation of textile goods to be stored. It is the deviation angle between the actual driving direction of the transport vehicle and the prescribed driving direction during the storage process of the textile goods to be stored. The compensation factor for the storage time of the textile goods to be stored. The compensation factor for the quantity of damaged goods during the storage operation of the textile goods to be stored. is the compensation factor for the deviation angle between the actual driving direction of the transport vehicle and the prescribed driving direction during the storage process of the textile goods to be stored, and e is a natural constant.
[0011] As a further method, based on the obtained registration upload data set of textile goods to be stored, it is judged whether the storage of textile goods to be stored is successful. The specific analysis process is: register the successfully stored textile goods to be stored and upload the registration records to obtain the registration upload data set of textile goods to be stored. The registration upload data set of textile goods to be stored specifically includes the time from the start of acceptance of textile goods to be stored to the completion of the registration process, the network bandwidth for uploading the registration records of textile goods to be stored, and the total time from the start of uploading to the successful uploading of the registration records of textile goods to be stored; based on the obtained registration upload data set of textile goods to be stored, a comprehensive analysis is performed to obtain the registration upload feature value of textile goods to be stored, and the registration upload feature value of textile goods to be stored is obtained. The uploaded characteristic value is used as the analysis basis for judging whether the storage of the textile goods to be entered is successful; the registered uploaded characteristic value of the textile goods to be entered is compared with the registered uploaded definition characteristic value of the textile goods to be entered stored in the database; if the registered uploaded characteristic value of the textile goods to be entered is higher than or equal to the registered uploaded definition characteristic value of the textile goods to be entered, the storage of the textile goods to be entered corresponding to the registered uploaded characteristic value of the textile goods to be entered is successful; if the registered uploaded characteristic value of the textile goods to be entered is lower than the registered uploaded definition characteristic value of the textile goods to be entered, the storage of the textile goods to be entered corresponding to the registered uploaded characteristic value of the textile goods to be entered is not successful, and the textile goods to be entered need to be re-registered and the registration record uploaded.
[0012] As a further method, the characteristic values of textile goods to be stored are registered and uploaded. The specific analysis process is as follows: ; In the formula, Upload characteristic values for textile goods to be registered and stored. It is the time from the start of acceptance to the completion of the registration process for textile goods to be stored. Network bandwidth for uploading registration records of textile goods to be stored, The total time taken from the start of uploading the registration records of textile goods to be stored to the successful upload, The compensation factor for the time from the start of acceptance to the completion of the registration process for textile goods to be stored. The compensation factor for the network bandwidth of the registered record of textile goods to be stored. It is the compensation factor for the total time taken from the start of uploading the registration record of the textile goods to be stored to the successful uploading, and e is a natural constant.
[0013] A second aspect of the present invention provides a cargo warehousing management system, including a textile cargo acceptance judgment module, a suitable storage area comparison module, a textile cargo storage judgment module and a textile cargo storage judgment module, wherein: the textile cargo acceptance judgment module is used to obtain an acceptance status data set of the textile cargo to be stored, and judge whether the textile cargo to be stored can be successfully accepted based on the obtained acceptance status data set of the textile cargo to be stored; the suitable storage area comparison module is used to obtain a category status data set of the textile cargo to be stored for the successfully accepted textile cargo to be stored, and compare the suitable storage area of the textile cargo to be stored based on the obtained category status data set of the textile cargo to be stored; the textile cargo storage judgment module is used to obtain a storage process data set of the textile cargo to be stored, and judge whether the textile cargo to be stored is successfully stored based on the obtained storage process data set of the textile cargo to be stored; the textile cargo storage judgment module is used to register the successfully stored textile cargo to be stored and upload the registration record, obtain the registration upload data set of the textile cargo to be stored, and judge whether the textile cargo to be stored is successfully stored based on the obtained registration upload data set of the textile cargo to be stored.
[0014] A third aspect of the present invention provides a cargo storage management storage medium for storing a program, which implements the above-mentioned cargo storage management method when executed by a processor.
[0015] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a cargo warehousing management method, system and storage medium, and realizes an automated warehousing management process by obtaining a data set of acceptance status, a data set of category status, a data set of storage process, etc. of textile cargo to be stored, and performing a process of comparing and judging these data, thereby reducing manual operations and possible human errors, improving work efficiency and accuracy, registering and uploading records of successfully stored textile cargo to be stored, and establishing a complete data record and traceability system, making it convenient to query and trace back the storage status of the cargo, helping managers to understand the storage status of the cargo, and improving the traceability and data security of warehousing management.
[0016] (2) The present invention obtains a data set of the category status of textile goods to be stored that have been successfully accepted, and obtains a suitable storage area for the textile goods to be stored by comparison. The suitable storage area is determined according to the category status of the goods, so that the storage space can be effectively utilized to avoid space waste or confusion due to mismatch of goods categories. Reasonable goods classification and area planning can make full use of storage facilities and improve the utilization rate of storage space. Different categories of goods may have different characteristics and requirements, such as temperature and humidity requirements. By placing goods of the same category in the same storage area, the quality and safety of the goods can be ensured.
[0017] (3) The present invention registers the successfully stored textile goods to be stored and uploads the registration records to obtain the registered uploaded data set of the textile goods to be stored, and determines whether the textile goods to be stored are successfully stored. By determining whether the textile goods to be stored are successfully stored, problems and abnormal situations can be discovered in time, and an automated warehouse management process can be realized to avoid errors and delays that may be caused by manual operations, thereby improving work efficiency and accuracy and saving labor costs. By analyzing the storage success of the textile goods to be stored, relevant data sets can be obtained for data analysis and monitoring, which helps managers understand the storage status and trends of the goods, provides data support for subsequent warehouse management, and improves the accuracy and effectiveness of management decisions. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.
[0019] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.
[0020] Figure 2 It is a schematic diagram of system module connection of the present invention.
[0021] Figure 3 It is an image showing that the acceptance status assessment value of the textile goods to be stored changes with the proportion of damaged fabrics sampled from the textile goods to be stored. DETAILED DESCRIPTION
[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0023] Reference Figure 1 As shown, the first aspect of the present invention provides a cargo warehousing management method, including: obtaining a data set of acceptance status of textile goods to be stored, and judging whether the textile goods to be stored can be successfully accepted based on the obtained data set of acceptance status of textile goods to be stored.
[0024] Specifically, the acceptance status data set of textile goods to be stored includes the proportion of damaged fabrics in random inspection of textile goods to be stored, and the ratio of the number of textile goods to be stored to the number of textile goods to be received. The proportion of damaged fabrics in random inspection of textile goods to be stored refers to the proportion of damaged fabrics found in random inspection of textile goods to be stored. This ratio can reflect the quality of fabrics to be stored. The higher the damage ratio, the worse the quality of the fabric, which may affect subsequent production and sales. By monitoring and recording this ratio, timely measures can be taken to reduce the impact of damaged goods. The ratio of the number of textile goods to be stored to the number of textile goods to be received refers to the proportion of damaged fabrics found in random inspection of textile goods to be stored. The ratio between the actual number of textile goods and the number of textile goods that should be received. If this ratio is close to 1, it means that the actual number of goods received is basically consistent with the expected number. If the ratio is greater than 1, it means that the actual number of goods received exceeds the expected number. If the ratio is less than 1, it means that the actual number of goods received is less than the expected number. Monitoring and recording this ratio can help managers understand the accuracy and efficiency of cargo transportation, discover problems in time and make adjustments. The proportion of damaged fabrics in random inspections of textile goods to be stored, and the ratio of the number of textile goods to be stored to the number of textile goods that should be received can be obtained through barcode scanners, readers, sensors and other equipment.
[0025] It needs to be explained that the proportion of damaged fabrics in the random inspection of textile goods to be stored reflects the quality problems that may exist in the transportation or storage of the goods, while the ratio of the number of textile goods to be stored to the number of textile goods to be received reflects the relationship between the actual number of goods received and the expected number. If the proportion of damaged fabrics in the random inspection of textile goods to be stored is high, it may lead to a reduction in the actual number of goods received, thereby making the ratio of the number of textile goods to be stored to the number of textile goods to be received low. The proportional relationship between the two can indirectly reflect the relationship between the quality and quantity of the goods. By monitoring and analyzing the damage proportion and quantity difference ratio of random inspections of textile goods to be stored, managers can timely understand the quality and quantity of the goods and make corresponding management decisions. If the damage proportion is high, it may be necessary to communicate with suppliers or adjust the mode of transportation to improve the quality of the goods. If the quantity difference ratio is low, it may be necessary to find out the reasons and take measures to avoid missing or losing the goods.
[0026] Furthermore, based on the acquired acceptance status data set of the textile goods to be entered into warehouse, it is judged whether the textile goods to be entered into warehouse can be successfully accepted. The specific analysis process is: based on the acquired acceptance status data set of the textile goods to be entered into warehouse, a comprehensive analysis is performed to obtain an acceptance status evaluation value of the textile goods to be entered into warehouse, and the acceptance status evaluation value of the textile goods to be entered into warehouse is used as an analysis basis for judging whether the textile goods to be entered into warehouse can be successfully accepted; the acceptance status evaluation value of the textile goods to be entered into warehouse is compared with the acceptance status definition evaluation value of the textile goods to be entered into warehouse stored in the database; if the acceptance status evaluation value of the textile goods to be entered into warehouse is higher than or equal to the acceptance status definition evaluation value of the textile goods to be entered into warehouse, then the textile goods to be entered into warehouse corresponding to the acceptance status evaluation value of the textile goods to be entered into warehouse can be successfully accepted; if the acceptance status evaluation value of the textile goods to be entered into warehouse is lower than the acceptance status definition evaluation value of the textile goods to be entered into warehouse, then the textile goods to be entered into warehouse corresponding to the acceptance status evaluation value of the textile goods to be entered into warehouse cannot be successfully accepted.
[0027] In a specific embodiment, a comprehensive evaluation of the acceptance status data set of textile goods to be warehoused can comprehensively analyze data from multiple dimensions, more comprehensively reflect the acceptance status of textile goods, reduce subjective judgment bias, and improve acceptance accuracy. Using the acceptance status evaluation value of textile goods to be warehoused for judgment can help managers quickly determine which goods can be successfully accepted and which goods need additional processing or return to suppliers. This allows quick decision-making, improves management efficiency, and reduces time and labor costs. By continuously collecting and analyzing the acceptance status data of textile goods to be warehoused, managers can monitor the acceptance of goods in real time, discover problems in a timely manner and make improvements, and constantly adjust the definition standards of the evaluation values, which can gradually improve the efficiency and accuracy of the entire acceptance process, accurately judge the acceptance status of textile goods to be warehoused, avoid problems caused by misinspection or missed inspection, reduce the risk of goods quality and the possibility of supply chain interruption, and ensure smooth and stable warehousing operations.
[0028] In a specific embodiment, the specific analysis process of the evaluation value of the acceptance status of the textile goods to be stored is as follows: ; In the formula, is the assessment value of the acceptance status of textile goods to be stored. The proportion of damaged fabrics in the random inspection of textile goods to be stored is is the ratio of the quantity of textile goods to be stored to the quantity of textile goods to be received. It is the compensation factor for the proportion of damaged fabrics in the random inspection of textile goods to be stored. It is a compensation factor for the ratio of the set quantity of textile goods to be stored to the quantity of textile goods to be received.
[0029] It needs to be explained that the above-mentioned assessment value of the acceptance status of textile goods to be warehoused is calculated by the proportion of damaged fabrics sampled from textile goods to be warehoused, the ratio of the number of textile goods to be warehoused to the number of textile goods to be received, and the proportion of damaged fabrics sampled from textile goods to be warehoused, the ratio of the number of textile goods to be warehoused to the number of textile goods to be received are normalized. By assessing the damage ratio of textile goods to be warehoused, problems in product quality can be discovered and assessed in a timely manner. If the damage ratio is high, it may mean that there are problems with the supplier or the transportation process, which can be dealt with in a timely manner to ensure that the product quality meets the standards. By assessing the acceptance status of goods to be warehoused, corporate assets can be managed more effectively. Accurately assessing the quality and quantity of products can ensure the accuracy and completeness of inventory, which helps to avoid losses caused by inferior products or shortages of goods. By assessing the acceptance status of goods to be warehoused, the supply chain process can be effectively optimized, problems in the supplier or transportation links can be discovered and resolved in a timely manner, which helps to improve the efficiency and quality of the overall supply chain. Reduce costs and improve customer satisfaction. The data such as the damaged proportion and quantity proportion of the sampled fabrics can be used to obtain the acceptance status assessment value of the goods to be stored. Problems in the supply chain can be identified in time and preventive measures can be taken to avoid adverse effects such as production delays caused by quality or quantity problems. The compensation factors for the damaged proportion of sampled fabrics of textile goods to be stored and the ratio of the number of textile goods to be stored to the number of textile goods to be received are obtained from the database. According to historical data, a mapping set of the historically measured damaged proportion of sampled fabrics of textile goods to be stored, the ratio of the number of textile goods to be stored to the number of textile goods to be received and the compensation factors for the damaged proportion of sampled fabrics of textile goods to be stored and the ratio of the number of textile goods to be received are established. The compensation factors for the damaged proportion of sampled fabrics of textile goods to be stored and the ratio of the number of textile goods to be stored to the number of textile goods to be received corresponding to the current damaged proportion of sampled fabrics of textile goods to be stored and the ratio of the number of textile goods to be stored to the number of textile goods to be received are obtained.
[0030] like Figure 3As shown in the figure, it is an image of the change of the acceptance status evaluation value of the textile goods to be entered as the damaged proportion of the fabrics sampled from the textile goods to be entered changes, wherein the x-axis represents the damaged proportion of the fabrics sampled from the textile goods to be entered, and the y-axis represents the acceptance status evaluation value of the textile goods to be entered. It can help to intuitively understand how the damaged proportion of the fabrics sampled from the textile goods to be entered affects the acceptance status evaluation value of the textile goods to be entered. The greater the damaged proportion of the fabrics sampled from the textile goods to be entered, the smaller the acceptance status evaluation value of the textile goods to be entered is, indicating that the acceptance status of the textile goods to be entered is worse. As the damaged proportion of the fabrics sampled from the textile goods to be entered changes, the acceptance status evaluation value of the textile goods to be entered changes. As the proportion of damaged fabrics in inspection increases, the influence of the proportion of damaged fabrics in random inspection of textile goods to be warehoused on the acceptance status assessment value of textile goods to be warehoused gradually weakens. The ratio of the number of textile goods to be warehoused to the number of textile goods to be received is set to 0.9 unchanged, and the compensation factor of the proportion of damaged fabrics in random inspection of textile goods to be warehoused to the number of textile goods to be received is set to 0.5 unchanged. Only the size of the proportion of damaged fabrics in random inspection of textile goods to be warehoused is changed. The example values of the proportion of damaged fabrics in random inspection of textile goods to be warehoused are as follows: Table 1: Example values of the proportion of damaged fabrics in the random inspection of textile goods to be stored in the acceptance status assessment value of textile goods to be stored
[0031] It should be noted that, the closer the ratio of the number of textile goods to be entered into warehouse to the number of textile goods to be received is to 1, the greater the assessment value of the acceptance status of the textile goods to be entered into warehouse is, indicating that the acceptance status of the textile goods to be entered into warehouse is better. As the ratio of the number of textile goods to be entered into warehouse to the number of textile goods to be received is closer to 1, the influence of the ratio of the number of textile goods to be entered into warehouse to the number of textile goods to be received on the assessment value of the acceptance status of the textile goods to be entered into warehouse gradually increases. The proportion of damaged fabrics in the random inspection of textile goods to be entered into warehouse is set to 0.9 unchanged, the compensation factor of the proportion of damaged fabrics in the random inspection of textile goods to be entered into warehouse is set to 0.5 unchanged, and the compensation factor of the ratio of the number of textile goods to be entered into warehouse to the number of textile goods to be received is set to 0.5 unchanged. Only the size of the ratio of the number of textile goods to be entered into warehouse to the number of textile goods to be received is changed. The example values of the ratio of the number of textile goods to be entered into warehouse to the number of textile goods to be received are as follows: Table 2: Example of the ratio of the number of textile goods to be received to the number of textile goods to be received in the assessment of the acceptance status of textile goods to be received
[0032] For the successfully accepted textile goods to be stored, a data set of the category status of the textile goods to be stored is obtained, and based on the obtained data set of the category status of the textile goods to be stored, a suitable storage area for the textile goods to be stored is obtained by comparison.
[0033] Specifically, based on the acquired data set of the category status of the textile goods to be stored, the appropriate storage area for the textile goods to be stored is obtained by comparison. The specific analysis process is: for the successfully accepted textile goods to be stored, the data set of the category status of the textile goods to be stored is obtained. The data set of the category status of the textile goods to be stored specifically includes the total weight of the textile goods to be stored, the total quantity of the textile goods to be stored, the volume of the box of a single piece of textile goods to be stored, and the most suitable storage humidity for the textile goods to be stored. The total weight of the textile goods to be stored represents the overall weight of the textile goods to be stored, which can help warehouse managers understand the total volume of the goods to be stored, so as to reasonably plan the storage space and the way of placing the goods, and is obtained through electronic scales or weighing equipment. The total quantity of the textile goods to be stored represents the total number of pieces of textile goods to be stored, which can help managers grasp the quantity of the goods to be stored, so as to perform warehousing operations and subsequent management, and is collected through handheld barcode scanning equipment or warehouse management systems. The volume of the box of a single piece of textile goods to be stored represents the volume of a single textile goods box, which is used to calculate the overall volume of the goods. In order to plan the storage space and place the goods, it can be obtained through measuring instruments such as measuring rulers or volume calculators. The most suitable storage humidity for the textile goods to be stored indicates the recommended value for the textile goods to be stored under the most suitable humidity conditions. Textiles have relatively high requirements for humidity. Different types of textiles require specific humidity conditions when stored to avoid problems such as moisture or mold. It can be obtained through humidity sensors or hygrometers and other devices; based on the acquired data set of the category status of the textile goods to be stored, a comprehensive analysis is performed to obtain the category status characteristic value of the textile goods to be stored, and the category status characteristic value of the textile goods to be stored is used as an analysis basis for comparing and obtaining the appropriate storage area for the textile goods to be stored; the storage areas corresponding to the category status characteristic values of the textile goods to be stored stored in the category status characteristic value database of the textile goods to be stored are compared to obtain the storage area corresponding to the category status characteristic value of the textile goods to be stored, and the storage area corresponding to the category status characteristic value of the textile goods to be stored indicates the appropriate storage area for the textile goods to be stored corresponding to the category status characteristic value of the textile goods to be stored.
[0034] It should be explained that the above-mentioned total weight and total quantity can help managers to have an overall control over the goods entering the warehouse. Through the relationship between the total weight and the quantity, the average weight of each piece of goods can be calculated, so as to better arrange the storage space and the placement of goods when the goods are entering the warehouse. If the total weight increases but the quantity does not increase significantly, it may mean that the average weight of the goods has increased, and it is necessary to consider whether the storage location or handling equipment needs to be adjusted. The proportional relationship between the total weight and the volume of the cargo box can help managers evaluate the density of the goods. If the total weight is relatively large, but the volume of the single cargo box is small, it may mean that the density of the goods is relatively high, and it is necessary to consider adjusting the cargo. The relationship between the total quantity and the volume of a single cargo box can help managers evaluate the overall size of the cargo. If the total quantity is large but the volume of a single cargo box is small, it may mean that the overall space occupied by the cargo is relatively small, which can save storage space and improve warehouse utilization. The relationship between the volume of a single cargo box and the most suitable storage humidity can help managers determine the humidity control requirements inside each box. Some textiles have relatively high humidity requirements, so they need to be kept within a specific humidity range. Understanding the volume of the cargo box and the storage humidity requirements can better set up humidity control equipment to ensure the quality of the cargo.
[0035] In a specific embodiment, by comprehensively analyzing the total weight, total quantity, volume of a single cargo box, and the most suitable storage humidity of the textile goods to be stored, the storage requirements of each type of goods and the best storage position in the warehouse can be determined more accurately, the storage space can be used to the maximum extent, and the storage efficiency and warehouse utilization rate can be improved. By comparing the storage areas corresponding to the various status characteristic values stored in the database of the status characteristic values of the categories of the textile goods to be stored, the goods with similar characteristic values can be placed in the same or similar areas, which is conducive to the management and search of goods, and improves the orderliness of the placement of goods and the overall management efficiency. According to the most suitable storage humidity and other characteristic values of the textile goods to be stored, the goods with similar storage conditions are placed in the same area, which helps to better control environmental factors such as humidity and temperature, improve the level of protection of the goods, and prevent the goods from getting moldy, damp or damaged. Appropriate storage area arrangement can reduce the time for carrying and searching for goods, save manpower and time costs, and systematic management and area division can improve the orderliness and efficiency of the work process and make the warehouse operation smoother.
[0036] It needs to be explained that, by obtaining the category status data set of the textile goods to be stored that have been successfully accepted, and comparing them to obtain the appropriate storage area for the textile goods to be stored, the appropriate storage area is determined according to the category status of the goods, which can effectively utilize the storage space and avoid space waste or confusion due to mismatch of goods categories. Reasonable cargo classification and area planning can make full use of storage facilities and improve the utilization rate of storage space. Different categories of goods may have different characteristics and requirements, such as temperature and humidity requirements. By placing the same category of goods in the same storage area, the quality and safety of the goods can be ensured.
[0037] It should be explained that the specific analysis process of the above-mentioned characteristic values of the status of the textile goods to be stored is as follows: ; In the formula, is the characteristic value of the category status of textile goods to be stored. is the total weight of textile goods to be stored, is the total quantity of textile goods to be stored, is the volume of a single piece of textile cargo to be stored in the warehouse. To provide the most suitable humidity for the storage of textile goods to be stored. is the compensation factor for the total weight of textile goods to be stored. is the compensation factor for the total quantity of textile goods to be stored. is the compensation factor for the volume of a single piece of textile cargo to be stored in the warehouse. It is the compensation factor for the most suitable storage humidity of the textile goods to be stored.
[0038] It should be explained that the above-mentioned category status characteristic values of the textile goods to be stored are calculated through the total weight of the textile goods to be stored, the total number of the textile goods to be stored, the volume of the box of a single piece of the textile goods to be stored, and the most suitable storage humidity for the textile goods to be stored. The total weight of the textile goods to be stored, the total number of the textile goods to be stored, the volume of the box of a single piece of the textile goods to be stored, and the most suitable storage humidity for the textile goods to be stored are normalized. Through the calculation of the category status characteristic values, the warehouse inventory can be managed more effectively. Understanding the total weight, total quantity and box volume of a single piece of the goods to be stored is helpful to reasonably plan the warehouse space and shelf layout. The system ensures that inventory can be stored effectively and improves storage efficiency. By comprehensively considering the total weight, total quantity, box volume and most suitable storage humidity of the textile goods to be stored, the properties of different categories of goods can be comprehensively evaluated, which helps companies better understand the characteristics of various types of goods and better classify, manage, store and protect them. Taking into account factors such as the most suitable storage humidity, it helps to set appropriate storage conditions and environment, improve the protection and maintenance level of textile goods, and ensure that goods are stored in a suitable humidity environment, which can reduce the risk of moisture and deterioration of goods. By calculating the characteristic values of the category status, companies can better manage inventory. Risk. For textile goods that require specific storage humidity, humidity control measures can be taken in advance to avoid damage to the goods. Considering the characteristic values of the goods to be stored can help to plan and manage storage more accurately, reasonably arrange the storage location of the goods, and control the storage environment. This can improve the efficiency of storage operations and reduce the loss and damage of goods. The total weight of the textile goods to be stored, the total number of textile goods to be stored, the volume of a single piece of textile goods to be stored, and the compensation factor for the most suitable storage humidity for the textile goods to be stored are obtained from the database. The total weight of the textile goods to be stored and the total number of textile goods to be stored are established based on historical data. A mapping set of the amount, the volume of a single piece of textile goods to be stored in the box, the most suitable storage humidity of the textile goods to be stored in the box and the compensation factors of the total weight of the textile goods to be stored in the box, the total number of textile goods to be stored in the box, the volume of a single piece of textile goods to be stored in the box, and the most suitable storage humidity of the textile goods to be stored in the box is obtained to obtain the compensation factors of the total weight of the textile goods to be stored, the total number of textile goods to be stored in the box, the volume of a single piece of textile goods to be stored in the box, and the most suitable storage humidity of the textile goods to be stored in the box.
[0039] A storage process data set of the textile goods to be stored is obtained, and based on the obtained storage process data set of the textile goods to be stored, it is determined whether the storage of the textile goods to be stored is successful.
[0040] Specifically, based on the acquired data set of the storage process of the textile goods to be entered into the warehouse, it is determined whether the storage of the textile goods to be entered into the warehouse is successful. The specific analysis process is: obtain the data set of the storage process of the textile goods to be entered into the warehouse, and the data set of the storage process of the textile goods to be entered into the warehouse specifically includes the storage time of the textile goods to be entered into the warehouse, the number of damaged goods in the storage operation of the textile goods to be entered into the warehouse, and the deviation angle between the actual driving direction of the transportation tool and the prescribed driving direction during the storage process of the textile goods to be entered into the warehouse. The storage time of the textile goods to be entered into the warehouse refers to the length of time from the storage of the textile goods to be entered into the warehouse from the time they arrive at the warehouse to the time they are fully entered into the warehouse, which reflects the efficiency and speed of the warehousing operation. Long-term storage may lead to backlog and delay of goods. The warehouse management system can be used to record the time when the goods arrive at the warehouse and the time when they are fully entered into the warehouse, and the time difference can be calculated to obtain the storage time. The number of damaged goods in the storage operation of the textile goods to be entered into the warehouse refers to the number of goods damaged due to improper operation or other reasons during the storage operation. The warehouse surveillance camera is used to monitor the situation of the damaged goods in real time, and the specific number of damaged goods is recorded. The actual driving direction of the transportation tool during the storage process of the textile goods to be entered into the warehouse The deviation angle between the driving direction and the prescribed driving direction refers to the deviation angle between the actual driving direction of the transportation tool (such as forklift, transporter, etc.) and the prescribed driving direction during the goods warehousing process. The actual driving direction of the transportation tool is usually recorded by a sensor or monitoring device installed on the transportation tool, and compared with the prescribed driving direction to calculate the deviation angle; based on the acquired storage process data set of the textile goods to be stored, a comprehensive analysis is performed to obtain the storage process characteristic value of the textile goods to be stored, and the storage process characteristic value of the textile goods to be stored is used as the analysis basis for judging whether the storage of the textile goods to be stored is successful; the storage process characteristic value of the textile goods to be stored is compared with the reference characteristic value of the storage process of the textile goods to be stored stored in the database; if the storage process characteristic value of the textile goods to be stored is higher than or equal to the reference characteristic value of the storage process of the textile goods to be stored, the storage of the textile goods to be stored corresponding to the storage process characteristic value of the textile goods to be stored is successful; if the storage process characteristic value of the textile goods to be stored is lower than the reference characteristic value of the storage process of the textile goods to be stored, the storage of the textile goods to be stored corresponding to the storage process characteristic value of the textile goods to be stored is not successful and needs to be stored again.
[0041] It needs to be explained that if the storage time is too long, the goods are prone to damage while waiting for storage, especially fragile or easily compressed goods. The deviation of the direction of the transport vehicle from the prescribed direction will increase the operation time and may lead to extended storage time, thereby increasing the risk of damage to the goods. Failure to strictly operate the operating tools in accordance with regulations may lead to operational errors and increase the amount of damaged goods.
[0042] It needs to be explained that the above-mentioned in-depth analysis of the storage process data can identify possible problems and deficiencies in the storage process, help timely discover and solve potential risks in the storage process, thereby improving the storage success rate of textile goods to be stored, and evaluate the storage process of textile goods to be stored based on characteristic values, which is helpful to improve the warehouse management system, improve the efficiency and quality of warehouse operation processes, further optimize the warehouse management level, analyze the storage characteristics of goods to be stored, and timely discover factors that may cause damage to goods during storage, improve operating methods, reduce the risk of goods loss, thereby improving the safety of goods, measure and analyze the storage success rate, and help warehouse managers understand the efficiency and accuracy of storage operations, and then carry out targeted training and improvements, improve work efficiency, save costs, reduce the storage failure rate of goods to be stored, ensure the accuracy and reliability of goods storage, improve customer satisfaction with warehousing services, and strengthen cooperative relations with customers.
[0043] Furthermore, the storage process characteristic values of the textile goods to be stored are analyzed in detail as follows: ; In the formula, is the storage process characteristic value of the textile goods to be stored. The storage time of the textile goods to be stored. The number of damaged goods during the storage operation of textile goods to be stored. It is the deviation angle between the actual driving direction of the transport vehicle and the prescribed driving direction during the storage process of the textile goods to be stored. The compensation factor for the storage time of the textile goods to be stored. The compensation factor for the quantity of damaged goods during the storage operation of the textile goods to be stored. is the compensation factor for the deviation angle between the actual driving direction of the transport vehicle and the prescribed driving direction during the storage process of the textile goods to be stored, and e is a natural constant.
[0044] It needs to be explained that the above-mentioned storage process characteristic values of the textile goods to be entered are calculated through the storage time of the textile goods to be entered, the number of damaged goods during the storage operation, and the angle of deviation between the actual driving direction of the transportation vehicle and the prescribed driving direction during the storage process of the textile goods to be entered. The storage time of the textile goods to be entered, the number of damaged goods during the storage operation, and the angle of deviation between the actual driving direction of the transportation vehicle and the prescribed driving direction during the storage process of the textile goods to be entered are normalized. Through the calculation of the characteristic values of the storage process, the situation of the goods in the storage process, including the damage situation and storage time, can be monitored and evaluated, which is helpful to take corresponding measures to ensure the quality of the goods. The quantity is not affected, and the shelf life and service life of the goods are improved. Taking into account the storage time of incoming goods, the storage time of the textile goods to be stored in the warehouse can be evaluated, and the problem of too long or too short storage time can be discovered in time, thereby optimizing the storage plan and process and improving storage efficiency. Taking into account the number of damaged goods during operation, the number of damaged goods can be discovered and recorded in time during the incoming storage operation, which is helpful for analyzing the cause of damage, further improving the operation process and operation method, and reducing the damage of goods during storage. Considering the deviation angle between the actual driving direction of the transportation vehicle and the prescribed driving direction during the incoming storage process, it is helpful to monitor the safety status during transportation. The deviation angle exceeding the prescribed range may cause cargo safety problems, and abnormalities can be identified in time. It can avoid potential safety hazards, improve the level of transportation safety, understand the problems and bottlenecks in the storage process, and then provide improvement directions and optimization suggestions, continuously optimize the storage process, improve process efficiency, reduce cargo loss and maintenance costs, and set the storage time of textile goods to be stored in the warehouse, the number of damaged goods during the storage operation of textile goods to be stored in the warehouse, and the compensation factor of the deviation angle between the actual driving direction of the transportation vehicle and the specified driving direction during the storage process of textile goods to be stored in the warehouse are obtained from the database. According to historical data, the historically measured storage time of textile goods to be stored in the warehouse, the number of damaged goods during the storage operation of textile goods to be stored in the warehouse, and the actual driving direction of the transportation vehicle during the storage process of textile goods to be stored in the warehouse are established. A mapping set of the deviation angle of the specified driving direction and the storage time of the textile goods to be entered, the number of damaged goods during the storage operation of the textile goods to be entered, and the compensation factor of the deviation angle between the actual driving direction of the transport vehicle and the specified driving direction during the storage process of the textile goods to be entered is obtained; the storage time of the textile goods to be entered, the number of damaged goods during the storage operation of the textile goods to be entered, and the compensation factor of the deviation angle between the actual driving direction of the transport vehicle and the specified driving direction during the storage process of the textile goods to be entered are obtained.
[0045] The successfully stored textile goods to be stored are registered and the registration records are uploaded to obtain a data set of registered and uploaded textile goods to be stored. Based on the obtained data set of registered and uploaded textile goods to be stored, it is determined whether the textile goods to be stored are successfully stored.
[0046] Specifically, based on the obtained registration upload data set of textile goods to be stored, it is determined whether the storage of textile goods to be stored is successful. The specific analysis process is: register the successfully stored textile goods to be stored and upload the registration records, and obtain the registration upload data set of textile goods to be stored. The registration upload data set of textile goods to be stored specifically includes the time from the start of acceptance of textile goods to be stored to the completion of the registration process, the network bandwidth for uploading the registration records of textile goods to be stored, and the total time from the start of uploading the registration records of textile goods to be stored to the successful upload. The time from the start of acceptance of textile goods to the completion of the registration process refers to the time from the start of acceptance of textile goods to the final completion of registration. The time spent in the entire process of recording is used to evaluate the efficiency and speed of the entire acceptance and registration process. The network bandwidth for uploading the registration records of the incoming textile goods refers to the network bandwidth required when uploading the registration records to the server or cloud, reflecting the data volume and upload speed of the registration records, and evaluating the demand for network bandwidth. The total time spent from the start of uploading to the successful upload of the registration records of the incoming textile goods refers to the total time spent from the start of uploading the registration records to the final successful upload, which is used to evaluate the efficiency and stability of the upload process. The time from the start of acceptance to the completion of the registration process of the incoming textile goods can be recorded through the warehouse management system or logistics system. timestamp, and calculate the time interval to obtain this indicator. The network bandwidth for uploading the registration record of the pending textile goods to be stored can be obtained by monitoring the network bandwidth usage when uploading the registration record through a network monitoring tool or a network device management system. The total time taken to successfully upload the registration record of the pending textile goods to be stored can be obtained by recording the upload start and end time through a system log or a server monitoring tool, and calculating the total time taken to obtain this indicator. Based on the obtained data set of registration upload of the pending textile goods to be stored, a comprehensive analysis is performed to obtain the characteristic value of the registration upload of the pending textile goods to be stored, and the characteristic value of the registration upload of the pending textile goods to be stored is used as the judgment of the pending textile goods to be stored. The analysis basis for whether the goods are successfully stored; compare the registered uploaded characteristic value of the textile goods to be stored in the database with the registered uploaded definition characteristic value of the textile goods to be stored in the database; if the registered uploaded characteristic value of the textile goods to be stored in the database is higher than or equal to the registered uploaded definition characteristic value of the textile goods to be stored in the database, the textile goods to be stored corresponding to the registered uploaded characteristic value of the textile goods to be stored in the database is successfully stored; if the registered uploaded characteristic value of the textile goods to be stored in the database is lower than the registered uploaded definition characteristic value of the textile goods to be stored in the database, the textile goods to be stored corresponding to the registered uploaded characteristic value of the textile goods to be stored in the database is successfully stored, and the textile goods to be stored in the database need to be re-registered and the registration record uploaded.
[0047] In a specific embodiment, there is a certain relationship between the time from the start of acceptance to the completion of the registration process of the textile goods to be stored and the network bandwidth for uploading the registration record of the textile goods to be stored. If the registration process is short, it means that the process is fast, and a larger network bandwidth may be required to support the rapid upload of the registration record data volume. When considering the allocation of network bandwidth, it is necessary to comprehensively consider the impact of the process time. If the time from acceptance to registration is long, the total time for uploading the record may also increase, because the time point for starting the upload is relatively late, and there may be a situation where the upload fails and needs to be re-uploaded, delaying the time for successful upload. If the network bandwidth is small, the total time for uploading the record may increase, because the data transmission speed is slow and the upload process takes a long time. In the process of optimizing the successful upload time, it is also necessary to consider the impact of network bandwidth on the upload speed.
[0048] In a specific embodiment, data analysis and mining can be performed based on the characteristic values in the registration and upload data set to predict whether future warehousing work will be carried out efficiently, so as to timely adjust and optimize the warehousing process. The registration and upload characteristic values of the textile goods to be stored can be comprehensively analyzed to evaluate the efficiency and quality of the current warehousing process. If the characteristic values show that the warehousing success rate is high, it means that the current registration and upload process is relatively smooth, which is conducive to improving work efficiency and ensuring warehousing quality. By using the registration and upload characteristic values of the textile goods to be stored to determine whether the warehousing is successful, an automated decision-making system can be established. The system can automatically identify which textile goods to be stored need to be re-registered and uploaded, thereby reducing manual intervention and errors, and improving the automation level and accuracy of warehousing work. The registration and upload data set is continuously collected and analyzed to generate characteristic values, and the success or failure of the warehousing is determined based on the characteristic values. Continuous improvement and iteration can be performed. According to the characteristic values generated in different periods, the changing trends of work efficiency and quality can be seen, which is helpful to optimize the warehousing process and continuously improve the level of warehousing work.
[0049] It needs to be explained that the above-mentioned process of registering the successfully stored textile goods to be stored and uploading the registration records obtains the registration and upload data set of the textile goods to be stored, and determines whether the textile goods to be stored are successfully stored. By determining whether the textile goods to be stored are successfully stored, problems and abnormal situations can be discovered in time, and an automated warehousing management process can be realized to avoid errors and delays that may be caused by manual operations, thereby improving work efficiency and accuracy, and also saving labor costs. By analyzing the storage success of the textile goods to be stored, relevant data sets can be obtained for data analysis and monitoring, which helps managers understand the storage situation and trends of the goods, provides data support for subsequent warehousing management, and improves the accuracy and effectiveness of management decisions.
[0050] Specifically, the characteristic values of textile goods to be registered and uploaded are analyzed as follows: ; In the formula, Upload characteristic values for textile goods to be registered and stored. It is the time from the start of acceptance to the completion of the registration process for textile goods to be stored. Network bandwidth for uploading registration records of textile goods to be stored, The total time taken from the start of uploading the registration records of textile goods to be stored to the successful upload, The compensation factor for the time from the start of acceptance to the completion of the registration process for textile goods to be stored. The compensation factor for the network bandwidth of the registered record of textile goods to be stored. It is the compensation factor for the total time taken from the start of uploading the registration record of the textile goods to be stored to the successful uploading, and e is a natural constant.
[0051] It should be explained that the above-mentioned characteristic value of registration and upload of textile goods to be warehoused is calculated through the time from the start of acceptance of textile goods to the completion of the registration process, the network bandwidth for uploading the registration records of textile goods to be warehoused, and the total time spent from the start of uploading to the successful uploading of the registration records of textile goods to be warehoused. The time from the start of acceptance of textile goods to the completion of the registration process, the network bandwidth for uploading the registration records of textile goods to be warehoused, and the total time spent from the start of uploading to the successful uploading of the registration records of textile goods to be warehoused are normalized. Considering the time from the start of acceptance to the registration upload, the efficiency of the entire registration and upload process can be comprehensively evaluated, and the time consumption of each link can be monitored and evaluated, which is helpful to discover bottlenecks and problems in the process. , thereby optimizing the workflow and improving work efficiency. Considering the upload network bandwidth, the network resource consumption required for uploading records can be evaluated. Understanding the network bandwidth usage will help to reasonably plan network resources, avoid network congestion or resource waste, and optimize network resource utilization efficiency. Considering the total time spent from the start of uploading records to the successful upload, the time spent in the data upload process can be monitored and evaluated, and delays and problems in the data upload process can be discovered in time. Measures can be taken in time to ensure data accuracy and avoid data loss or errors. Comprehensively evaluate the security of the data upload process, and timely discover problems or anomalies in the upload process, which will help to conduct security detection and preventive measures in a timely manner, thereby improving data security. The protection of information from being leaked or tampered with, calculation of registration upload characteristic values, can provide data support for enterprise management decisions, evaluation and analysis of the registration upload process, understanding the performance of each link, providing a basis for management decisions, optimizing processes, and improving management levels. The compensation factors for the time from the start of acceptance of textile goods to the completion of the registration process, the network bandwidth for uploading the registration records of textile goods to be entered into the warehouse, and the total time spent on uploading the registration records of textile goods to be entered into the warehouse are obtained from the database. According to historical data, the historically measured time from the start of acceptance of textile goods to the completion of the registration process, the network bandwidth for uploading the registration records of textile goods to be entered into the warehouse, and the total time spent on uploading the registration records of textile goods to be entered into the warehouse are established. A mapping set of the total time spent from the start of uploading to successful uploading and the time spent from the start of acceptance of textile goods to be entered into the warehouse to the completion of the registration process, the network bandwidth for uploading the registration records of textile goods to be entered into the warehouse, and the compensation factors for the total time spent from the start of uploading to successful uploading of the registration records of textile goods to be entered into the warehouse, is obtained, and the compensation factors for the time spent from the start of acceptance of textile goods to be entered into the warehouse to the completion of the registration process, the network bandwidth for uploading the registration records of textile goods to be entered into the warehouse, and the total time spent from the start of uploading to successful uploading of the registration records of textile goods to be entered into the warehouse corresponding to the current time spent from the start of acceptance of textile goods to be entered into the warehouse to the completion of the registration process, the network bandwidth for uploading the registration records of textile goods to be entered into the warehouse, and the total time spent from the start of uploading to successful uploading of the registration records of textile goods to be entered into the warehouse
[0052] Reference Figure 2As shown, the second aspect of the present invention provides a cargo storage management system, including a textile cargo acceptance judgment module, a suitable storage area comparison module, a textile cargo storage judgment module and a textile cargo storage judgment module.
[0053] The textile goods acceptance judgment module is used to obtain the acceptance status data set of the textile goods to be stored, and judge whether the textile goods to be stored can be successfully accepted based on the obtained acceptance status data set of the textile goods to be stored.
[0054] The suitable storage area comparison module is used to obtain a data set of the category status of the textile goods to be stored that have been successfully accepted, and compare the suitable storage area for the textile goods to be stored based on the obtained data set of the category status of the textile goods to be stored.
[0055] The textile goods storage judgment module is used to obtain a data set of the storage process of the textile goods to be stored, and judge whether the storage of the textile goods to be stored is successful based on the obtained data set of the storage process of the textile goods to be stored.
[0056] The textile goods storage judgment module is used to register the successfully stored textile goods to be stored and upload the registration records, obtain the registered uploaded data set of the textile goods to be stored, and judge whether the textile goods to be stored are successfully stored based on the obtained registered uploaded data set of the textile goods to be stored.
[0057] A third aspect of the present invention provides a cargo storage management storage medium for storing a program, which implements the above-mentioned cargo storage management method when executed by a processor.
[0058] It needs to be explained that the above-mentioned method, system and storage medium for cargo warehousing management are provided, and the automated warehousing management process is realized by obtaining the acceptance status data set, category status data set, storage process data set, etc. of the textile cargo to be stored, as well as the process of comparing and judging these data, thereby reducing manual operations and possible human errors, improving work efficiency and accuracy, registering and uploading records of successfully stored textile cargo to be stored, and establishing a complete data record and traceability system, which facilitates the query and backtracking of the warehousing status of the goods, helps managers understand the warehousing status of the goods, and improves the traceability and data security of warehousing management.
[0059] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.
Claims
1. A cargo storage management method, characterized in that: The following steps are involved: Acquire a data set of acceptance status of textile goods to be stored, and determine whether the textile goods to be stored can be successfully accepted based on the acquired data set of acceptance status of textile goods to be stored; For the successfully accepted textile goods to be stored, a data set of the category status of the textile goods to be stored is obtained, and based on the obtained data set of the category status of the textile goods to be stored, a suitable storage area for the textile goods to be stored is obtained by comparison; Acquire a storage process data set of textile goods to be stored in the warehouse, and determine whether the storage of the textile goods to be stored in the warehouse is successful based on the acquired storage process data set of textile goods to be stored in the warehouse; The successfully stored textile goods to be stored are registered and the registration records are uploaded to obtain a data set of registered and uploaded textile goods to be stored. Based on the obtained data set of registered and uploaded textile goods to be stored, it is determined whether the textile goods to be stored are successfully stored.
2. The cargo storage management method according to claim 1, characterized in that: The data set of acceptance status of textile goods to be stored specifically includes the proportion of damaged fabrics in random inspection of textile goods to be stored, and the ratio of the number of textile goods to be stored to the number of textile goods to be received.
3. The cargo storage management method according to claim 2, characterized in that: Based on the obtained data set of acceptance status of the textile goods to be stored, it is determined whether the textile goods to be stored can be successfully accepted. The specific analysis process is as follows: Based on the acquired data set of acceptance status of textile goods to be stored in warehouse, a comprehensive analysis is performed to obtain an evaluation value of the acceptance status of the textile goods to be stored in warehouse, and the evaluation value of the acceptance status of the textile goods to be stored in warehouse is used as an analysis basis for judging whether the textile goods to be stored in warehouse can be successfully accepted; Comparing the acceptance status assessment value of the textile goods to be stored in the database with the acceptance status definition assessment value of the textile goods to be stored in the database; If the acceptance status assessment value of the textile goods to be warehoused is higher than or equal to the acceptance status definition assessment value of the textile goods to be warehoused, the textile goods to be warehoused corresponding to the acceptance status assessment value of the textile goods to be warehoused can be successfully accepted; If the acceptance status assessment value of the textile goods to be entered into storage is lower than the acceptance status definition assessment value of the textile goods to be entered into storage, the textile goods to be entered into storage corresponding to the acceptance status assessment value of the textile goods to be entered into storage cannot be successfully accepted.
4. The cargo storage management method according to claim 1, characterized in that: Based on the acquired data set of the category status of the textile goods to be stored, the appropriate storage area for the textile goods to be stored is obtained by comparison. The specific analysis process is as follows: For the successfully accepted textile goods to be stored, a data set of the category status of the textile goods to be stored is obtained. The data set of the category status of the textile goods to be stored specifically includes the total weight of the textile goods to be stored, the total quantity of the textile goods to be stored, the volume of a single piece of the textile goods to be stored, and the most suitable storage humidity of the textile goods to be stored; Based on the acquired data set of the category status of the textile goods to be stored, a comprehensive analysis is performed to obtain the characteristic values of the category status of the textile goods to be stored, and the characteristic values of the category status of the textile goods to be stored are used as the analysis basis for comparing and obtaining the appropriate storage area for the textile goods to be stored; The storage areas corresponding to the category status characteristic values of the textile goods to be stored in the category status characteristic value database of the textile goods to be stored are compared to obtain the storage area corresponding to the category status characteristic value of the textile goods to be stored. The storage area corresponding to the category status characteristic value of the textile goods to be stored represents a suitable storage area for the textile goods to be stored corresponding to the category status characteristic value of the textile goods to be stored.
5. The cargo storage management method according to claim 1, characterized in that: Based on the acquired data set of the storage process of the textile goods to be stored, it is determined whether the storage of the textile goods to be stored is successful. The specific analysis process is as follows: Obtain a data set of the storage process of textile goods to be stored, which specifically includes the storage time of the textile goods to be stored, the number of damaged goods during the storage operation of the textile goods to be stored, and the deviation angle between the actual driving direction of the transportation vehicle and the prescribed driving direction during the storage process of the textile goods to be stored; Based on the acquired data set of the storage process of the textile goods to be stored, a comprehensive analysis is performed to obtain the characteristic values of the storage process of the textile goods to be stored, and the characteristic values of the storage process of the textile goods to be stored are used as the analysis basis for judging whether the storage of the textile goods to be stored is successful; Compare the storage process characteristic value of the textile goods to be stored in the warehouse with the reference storage process characteristic value of the textile goods to be stored in the database; If the storage process characteristic value of the textile goods to be stored is higher than or equal to the reference storage process characteristic value of the textile goods to be stored, the storage of the textile goods to be stored corresponding to the storage process characteristic value of the textile goods to be stored is successful; If the storage process characteristic value of the textile goods to be stored is lower than the storage process reference characteristic value of the textile goods to be stored, the textile goods to be stored corresponding to the storage process characteristic value of the textile goods to be stored is not stored successfully and needs to be stored again.
6. The cargo storage management method according to claim 5, characterized in that: The storage process characteristic value of the textile goods to be stored is specifically analyzed as follows: ; In the formula, is the storage process characteristic value of the textile goods to be stored. The storage time of the textile goods to be stored. The number of damaged goods during the storage operation of textile goods to be stored. It is the deviation angle between the actual driving direction of the transport vehicle and the prescribed driving direction during the storage process of the textile goods to be stored. The compensation factor for the storage time of the textile goods to be stored. The compensation factor for the quantity of damaged goods during the storage operation of the textile goods to be stored. is the compensation factor for the deviation angle between the actual driving direction of the transport vehicle and the prescribed driving direction during the storage process of the textile goods to be stored, and e is a natural constant.
7. The cargo storage management method according to claim 1, characterized in that: Based on the obtained registration and upload data set of textile goods to be stored, it is determined whether the storage of textile goods to be stored is successful. The specific analysis process is as follows: Register the successfully stored textile goods to be stored and upload the registration records to obtain a data set of registered and uploaded textile goods to be stored. The data set of registered and uploaded textile goods to be stored specifically includes the time from the start of acceptance of the textile goods to be stored to the completion of the registration process, the network bandwidth for uploading the registration records of the textile goods to be stored, and the total time from the start of uploading the registration records of the textile goods to be stored to the successful uploading; Based on the acquired data set of textile goods to be stored, a comprehensive analysis is performed to obtain a characteristic value of the textile goods to be stored, and the characteristic value of the textile goods to be stored is used as an analysis basis for judging whether the textile goods to be stored are successfully stored. Compare the uploaded characteristic value of the registration of the textile goods to be stored in the database with the uploaded defined characteristic value of the registration of the textile goods to be stored in the database; If the registered uploaded characteristic value of the textile goods to be stored is higher than or equal to the defined characteristic value of the registered uploaded textile goods to be stored, the storage of the textile goods to be stored corresponding to the registered uploaded characteristic value of the textile goods to be stored is successful; If the registered uploaded characteristic value of the textile goods to be warehoused is lower than the defined characteristic value of the registered uploaded textile goods to be warehoused, the textile goods to be warehoused corresponding to the registered uploaded characteristic value of the textile goods to be warehoused are not successfully stored, and the textile goods to be warehoused need to be re-registered and the registration record uploaded.
8. The cargo storage management method according to claim 7, characterized in that: The specific analysis process of the registered uploaded characteristic values of the textile goods to be stored is as follows: ; In the formula, Upload characteristic values for textile goods to be registered and stored. It is the time from the start of acceptance to the completion of the registration process for textile goods to be stored. Network bandwidth for uploading registration records of textile goods to be stored, The total time taken from the start of uploading the registration records of textile goods to be stored to the successful upload, The compensation factor for the time from the start of acceptance to the completion of the registration process for textile goods to be stored. The compensation factor for the network bandwidth of the registered record of textile goods to be stored. It is the compensation factor for the total time taken from the start of uploading the registration record of the textile goods to be stored to the successful uploading, and e is a natural constant.
9. Cargo warehouse management system, characterized in that: The cargo storage management method applied to any one of claims 1 to 8 comprises a textile cargo acceptance judgment module, a suitable storage area comparison module, a textile cargo storage judgment module and a textile cargo storage judgment module, wherein: The textile goods acceptance judgment module is used to obtain the acceptance status data set of the textile goods to be stored, and judge whether the textile goods to be stored can be successfully accepted based on the obtained acceptance status data set of the textile goods to be stored; The suitable storage area comparison module is used to obtain a data set of the category status of the textile goods to be stored that have been successfully accepted, and compare and obtain a suitable storage area for the textile goods to be stored based on the obtained data set of the category status of the textile goods to be stored; The textile goods storage judgment module is used to obtain a data set of a storage process of the textile goods to be stored, and judge whether the storage of the textile goods to be stored is successful based on the obtained data set of a storage process of the textile goods to be stored; The textile goods storage judgment module is used to register the successfully stored textile goods to be stored and upload the registration record, obtain the registered uploaded data set of the textile goods to be stored, and judge whether the textile goods to be stored are successfully stored based on the obtained registered uploaded data set of the textile goods to be stored.
10. A storage medium for goods storage management, characterized in that: Used to store a program, which, when executed by a processor, implements the cargo warehousing management method as described in any one of claims 1-8.
Citation Information
Patent Citations
Intelligent warehousing system based on supply chain management
CN114444997A
Goods storage management system applied to intelligent warehousing
CN118485377A
Textile intelligent warehouse management system and method based on cloud computing
CN119417166A
KR20240169214A