Intelligent warehouse management method and system based on RFID

Abstract

The application discloses an intelligent warehouse management method and system based on RFID, which comprises the following steps: collecting RFID tag data, article information and sensor information in a warehouse, establishing environment and article combined evaluation factors, designing a frequency band adaptability scoring formula, and dynamically selecting the best working frequency band; and combining the best frequency band to dynamically adjust the transmitting power, so that the RFID system minimizes energy consumption and reduces operation cost under the premise of ensuring identification accuracy and reading distance, and the reliability and intelligent level of the warehouse system are effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of warehouse management based on RFID, and particularly relates to an intelligent warehouse management method and system based on RFID. BACKGROUND

[0002] In recent years, as an important part of the Internet of Things, radio frequency identification (RFID) technology has been widely applied in warehouse management, logistics tracking and asset monitoring. RFID technology realizes non-contact identification and data transmission of target objects through radio waves, and has higher identification efficiency, stronger data storage capacity and the superiority of multi-target concurrent reading compared with traditional bar code technology. In the warehouse management scenario, RFID tags are widely used for tracking, inventory and management of goods, and the supporting read-write equipment and the background system form an efficient and reliable data flow loop. However, with the continuous expansion of warehouse scale, diversification of goods and improvement of environmental complexity, traditional RFID technology faces many challenges in adaptability and performance optimization, such as decreased data reading accuracy, intensified frequency band interference and unbalanced power consumption, etc.

[0003] Existing research and application attempts to improve the performance of RFID systems by adjusting fixed frequency bands, increasing radio frequency power or using multi-tag anti-collision algorithms, but these methods often only work in specific scenarios and lack comprehensive adaptability to complex dynamic environments. For example, the stacking method, material density and temperature and humidity changes of goods in the warehouse environment will have a significant impact on RFID tag data reading and signal transmission, and existing methods cannot fully combine environmental and goods characteristics for dynamic optimization. In addition, while pursuing efficient management, warehouse operation cost control and energy consumption optimization have become the focus of enterprises, but existing technologies are insufficient in balancing efficiency and low energy consumption. Therefore, how to build an RFID adaptability optimization scheme based on joint evaluation of environmental and goods characteristics in a complex warehouse environment has become an important research direction to improve the level of intelligent warehouse management. SUMMARY

[0004] This section is intended to summarize some aspects of the embodiments of the present application and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of the specification to avoid obscuring the purpose of this section, the abstract and the title, and such simplifications or omissions cannot be used to limit the scope of the present application.

[0005] In view of the above existing problems, the present application is proposed. Therefore, the present application provides an intelligent warehouse management method based on RFID to solve the problems mentioned in the background art.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides an intelligent warehouse management method based on RFID, comprising:

[0008] The RFID tag data, warehouse item information, and sensor receiving parameters are obtained separately. Considering the combined impact of warehouse item information and sensors on the working frequency band in the RFID tag data, a joint evaluation factor of the environment and items is established.

[0009] Based on the joint evaluation factors of the environment and the item, a frequency band adaptability scoring formula is designed to calculate the adaptability score of each operating frequency band in the RFID tag data, and the frequency band with the highest adaptability score is used as the current optimal operating frequency band, and the current frequency band of the RFID tag is switched to the optimal operating frequency band;

[0010] According to the optimal working frequency band, the transmission power in the RFID tag data is adjusted, and the transmission power in the RFID tag data is used as the optimization target. While improving the efficiency of warehouse energy management, the operating cost of warehouse management is reduced, thereby realizing intelligent warehouse management.

[0011] As a preferred solution of the RFID-based intelligent warehouse management method of the present invention, respectively obtaining RFID tag data, information about items in the warehouse, and receiving parameters of sensors includes:

[0012] Before acquiring RFID tag data, item information in the warehouse, and sensor reception parameters, the warehouse is divided into several environmental monitoring sub-areas. At least one set of sensors is deployed in each environmental monitoring sub-area. The sensor groups within the same sub-area are initialized, and the initial environmental feature vector of each sub-area is recorded.

[0013] The set of working frequency bands of RFID tags is obtained, each working frequency band is divided into fine-grained sub-bands, the transmission power of the RFID tags is initialized, and the information of items in the warehouse is structurally bound with the stacking form of the items to obtain the stacking characteristics of the items.

[0014] As a preferred solution of the RFID-based intelligent warehouse management method of the present invention, the combined impact of warehouse item information and sensor on the operating frequency band in RFID tag data is considered, and a joint evaluation factor of environment and item is established, including:

[0015] Calculate the interference score of the initial environmental feature vector of each sub-area on the transmission power of the RFID tag to obtain the interference score of the sensor under the RFID tag;

[0016] According to the article stack characteristics, an interaction factor of article material and sub-band, a coefficient factor of article stack type and sub-band, and an attenuation factor of article packaging density and sub-band are established, and an interference score of the article under the RFID tag is obtained.

[0017] Based on the interference score of the sensor under the RFID tag and the interference score of the article under the RFID tag, an environment and article joint evaluation factor is established.

[0018] As a preferred scheme of the RFID-based intelligent warehouse management method, a frequency band adaptability score formula is designed based on the environment and article joint evaluation factor, and an adaptability score of each working frequency band in the RFID tag data is calculated, including:

[0019] The frequency band adaptability score formula is represented as:

[0020]

[0021] wherein Adapt_S(F n , i) represents the adaptability score of each working frequency band in the RFID tag data; Joint_S(f, i) represents the environment and article joint evaluation factor; F n represents the nth working frequency band F; i represents the number of the environment monitoring sub-area; f m represents the sub-band divided in the working frequency band F, m is the number of the sub-bands; and ξ represents a translation parameter.

[0022] As a preferred scheme of the RFID-based intelligent warehouse management method, the frequency band with the highest adaptability score is taken as the current best working frequency band, and the current frequency band of the RFID tag is switched to the best working frequency band, including:

[0023] When the working frequency band with the highest adaptability score is found, it is set as the preferred working frequency band of the RFID tag in the sub-area, the initial environment characteristic vector of the sub-area is updated, and the updated initial environment characteristic vector is recorded.

[0024] A confidence interval is constructed based on the initial environment characteristic vector before the update, and whether the updated initial environment characteristic vector is within the confidence interval is judged based on the confidence interval, and when the confidence interval is exceeded, the adaptability score of the frequency band is recalculated.

[0025] As a preferred scheme of the RFID-based intelligent warehouse management method, the transmission power in the RFID tag data is adjusted according to the best working frequency band, and the transmission power in the RFID tag data is taken as an optimization target, including:

[0026] According to the best working frequency band, set the minimum value A of the identification accuracy of the RFID tag min And the minimum value D of the reading distance min Take the transmission power in the RFID tag data as the optimization target, and obtain the constraint condition as follows:

[0027]

[0028] P max ≥P≥P min .

[0029] Wherein, P is the transmission power, represents the identification accuracy of the RFID tag, is the F n after switching, represents the reading distance of the RFID tag;

[0030] Take the constraint condition as the reference, search from the low power end and the high power end of the RFID tag at the same time until converging to the power feasible interval, and find the minimum point that meets the transmission power in the power feasible interval.

[0031] As a preferred scheme of the intelligent warehouse management method based on RFID, wherein: taking the constraint condition as the reference, searching from the low power end and the high power end of the RFID tag at the same time until converging to the power feasible interval, and finding the minimum point that meets the transmission power in the power feasible interval, including:

[0032] The low power end P low of the RFID tag represents the minimum value P min of the transmission power of the RFID tag, The high power end P high of the RFID tag represents the maximum value P max of the transmission power of the RFID tag, and the power feasible interval [P low , P high ] of the RFID tag is obtained.

[0033] Substitute the low power end P low into the Accuracy and Coverage functions in the constraint condition, if the constraint condition of the Accuracy and Coverage functions is met at the same time, it is explained that any point of the low power end meets the minimum value P min of the transmission power of the RFID tag, otherwise, substitute the high power end P highSubstitute the Accuracy and Coverage functions in the constraints and continue to determine whether the constraints of the Accuracy and Coverage functions are met at the same time. If not, switch the working frequency of the RFID tag. If it is met, perform a high-power P by bisection. high Repeat the above process until the unique minimum transmit power value P is output. min Or the maximum transmission power P max , update P max ≥P≥P min ;

[0034] The minimum value of the transmission power in the updated P interval range is found as the minimum point that satisfies the RFID tag transmission power.

[0035] In a second aspect, the present invention provides an RFID-based intelligent warehouse management system, comprising:

[0036] The environment and item joint evaluation module is configured to respectively obtain RFID tag data, item information in the warehouse, and sensor receiving parameters, consider the combined impact of the item information in the warehouse and the sensor on the working frequency band in the RFID tag data, and establish an environment and item joint evaluation factor;

[0037] a frequency band adaptability scoring module configured to design a frequency band adaptability scoring formula based on the environment and item joint evaluation factors, calculate the adaptability score of each operating frequency band in the RFID tag data, determine the frequency band with the highest adaptability score as the current optimal operating frequency band, and switch the current frequency band of the RFID tag to the optimal operating frequency band;

[0038] The transmission power optimization module is configured to adjust the transmission power in the RFID tag data according to the optimal working frequency band, and take the transmission power in the RFID tag data as the optimization target. While improving the efficiency of warehouse energy management, it reduces the operating cost of warehouse management, thereby realizing intelligent warehouse management.

[0039] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: the processor implements any step of the above method when executing the computer program.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above method is implemented.

[0041] Compared with the prior art, the invention has the following beneficial effects:

[0042] 1、The application establishes the environmental and article combined evaluation factor, comprehensively considers the article material, stacking form and environmental sensor parameter in the storage environment, dynamically calculates the adaptability score of each working frequency band, and automatically switches to the optimal frequency band to work, thereby effectively reducing signal interference, improving the identification accuracy and reading efficiency of RFID data;

[0043] 2、Based on the optimal working frequency band, the transmission power of the RFID tag is dynamically adjusted, and the optimization algorithm of the power feasible interval is combined to ensure that the minimum transmission power is used under the premise of meeting the identification accuracy and reading distance; not only improves the efficiency of warehouse energy management, but also effectively reduces the operating cost, meets the demand of green and low-carbon development;

[0044] 3、Through the environmental characteristic vector update of the sub-area, the change of the storage environment is monitored in real time, and high efficiency and stable performance can be maintained under the variable storage conditions, thereby greatly reducing the demand for manual intervention and realizing intelligent and automatic warehouse management. BRIEF DESCRIPTION OF DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor. Among them:

[0046] Figure 1 The overall flow chart of the intelligent warehouse management method based on RFID according to an embodiment of the present application;

[0047] Figure 2 The frequency band adaptability score comparison chart of the traditional scheme of the intelligent warehouse management method based on RFID according to an embodiment of the present application and the scheme of the present application;

[0048] Figure 3 The identification accuracy, reading distance, energy consumption and operating cost comparison chart of the intelligent warehouse management method based on RFID according to an embodiment of the present application. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the present application.

[0050] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0051] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0052] The present invention is described in detail with reference to schematic diagrams. For ease of illustration, cross-sectional views of device structures may be partially enlarged and not to scale when describing embodiments of the present invention. Furthermore, the schematic diagrams are merely illustrative and should not limit the scope of the present invention. Furthermore, in actual production, the three-dimensional dimensions of length, width, and depth should be included.

[0053] In the description of the present invention, it should be noted that the terms "upper, lower, inner, and outer" and other references to orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0054] In this disclosure, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be interpreted broadly. For example, they may refer to fixed, removable, or integral connections. They may also refer to mechanical, electrical, or direct connections, indirect connections through an intermediary, or internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in this disclosure.

[0055] Example 1

[0056] Reference Figure 1 , which is the first embodiment of the present invention, provides an RFID-based intelligent warehouse management method, including:

[0057] S1. Obtain RFID tag data, warehouse item information, and sensor receiving parameters, respectively. Consider the combined impact of warehouse item information and sensors on the operating frequency band in the RFID tag data, and establish a joint evaluation factor for the environment and items.

[0058] Further, before acquiring the RFID tag data and the information of the goods in the warehouse and the receiving parameters of the sensors, the warehouse is divided into a plurality of environment monitoring sub-areas, at least one group of sensors is deployed in each environment monitoring sub-area, and the sensor groups in the same sub-area are initialized to record the initial environment feature vector E of each sub-area i ;

[0059] Specifically, each group of sensors includes a plurality of different types of sensors.

[0060] Further, a set of working frequency bands F of the RFID tag is acquired, each working frequency band is divided into a fine-grained sub-band f, the transmission power of the RFID tag is initialized, and the information of the goods in the warehouse and the stacking form of the goods are structured and bound to obtain a goods stacking feature.

[0061] Specifically, the set of working frequency bands of the RFID tag is represented as F = {F1, F2, F3, …, F n}, and the sub-band in each working frequency band is represented as F n = {f1, f2, f3, …, f m}.

[0062] Specifically, the information of the goods includes the material of the goods (such as metal, plastic, paper, and liquid), the packaging density, the volume, and the like; and the stacking form of the goods includes flat laying, vertical stacking, and staggered stacking, and the like.

[0063] It should be noted that the structured binding aims to associate the information of the goods with the stacking form of the goods, for example, [material of the goods: metal, packaging density: high, number of stacking layers: 3 layers, stacking manner: flat laying]; and by establishing the association relationship, the scattered goods become unified and have an analyzable data format, which improves the standardization degree of warehouse management and reduces data redundancy and confusion.

[0064] Specifically, by associating the goods stacking feature with the initial environment feature vector of each sub-area, the mapping relationship between the goods, the sensors, and the RFID tag can be obtained; for example, according to the above [material of the goods: metal, packaging density: high, number of stacking layers: 3 layers, stacking manner: flat laying], it becomes [material of the goods: metal, packaging density: high, number of stacking layers: 3 layers, stacking manner: flat laying, humidity: 65%, temperature: 28°, transmission power: 100 mW].

[0065] Further, the interference score of the initial environment feature vector of each sub-area on the transmission power of the RFID tag is calculated to obtain the interference score of the sensor under the RFID tag.

[0066] Specifically, the interference score of the sensor under the RFID tag can be calculated by the following formula:

[0067]

[0068] wherein E_S(f m ,i) represents the interference score of the sensor under the RFID tag, represents the weight w, e k,i represents the normalized value e of the sub-area i under the kth environment;

[0069] Further, according to the characteristics of the article stack, the mutual influence factor of the article material and the sub-band, the coefficient factor of the article stack type and the sub-band, and the attenuation factor of the article packaging density and the sub-band are established to obtain the interference score of the article under the RFID tag.

[0070] Specifically, the interference score of the article under the RFID tag is represented by the formula:

[0071] O_S(f m ,j)=M(Material j ,f m )+S(StackType j ,f m )+D(Density j ,f m )

[0072] wherein M(Material j ,f m ) represents the mutual influence factor M of the article material Material and the sub-band f m ; S(StackType j ,f m ) represents the coefficient factor S of the article stack type StackType and the sub-band f m ; D(Density j ,f m ) represents the attenuation factor D of the article packaging density Density and the sub-band f m ; O_S(f m ,j) is the interference score of the article under the RFID tag; j represents the article.

[0073] Further, based on the interference score of the sensor under the RFID tag and the interference score of the article under the RFID tag, an environment and article joint evaluation factor is established.

[0074] Specifically, the environment and article joint evaluation factor is represented by the formula:

[0075]

[0076] wherein, Joint_S(f,i) represents the joint evaluation factor of environment and article; m

[0077] Specifically, the larger the joint evaluation factor of environment and article, the more serious the signal attenuation and interference when the frequency band f m is used in the sub-area i; the smaller the joint evaluation factor of environment and article, the more suitable the frequency band f m for the sub-area i;

[0078] S2, based on the joint evaluation factor of environment and article, designing a frequency band adaptability scoring formula to calculate the adaptability score of each working frequency band in the RFID tag data, taking the frequency band with the highest adaptability score as the current best working frequency band, and switching the current frequency band of the RFID tag to the best working frequency band;

[0079] Specifically, the frequency band adaptability scoring formula is represented as:

[0080]

[0081] wherein, Adapt_S(F n ,i) represents the adaptability score of each working frequency band in the RFID tag data; Joint_S(f,i) represents the joint evaluation factor of environment and article; F n represents the nth working frequency band F; i represents the number of the environment monitoring sub-area; f m represents the sub-frequency band divided in the working frequency band F, and m is the number of sub-frequency bands; ξ represents the translation parameter;

[0082] It should be noted that when Joint_S(f m ,i) = ξ, the output is 0.5, which means that when Joint_S(f m ,i) is greater than ξ, Adapt_S(F n ,i) will be greater than 0.5, and when Joint_S(f m ,i) is less than ξ, Adapt_S(F n ,i) will be less than 0.5; therefore, the translation parameter is the demarcation line of Adapt_S(F n ,i); and in actual application, the frequency band adaptability score in different storage environments may have a huge difference in the value range, and by adjusting ξ, the RFID can be compared in a more suitable numerical interval, for example, when the interference level is generally high, so that most of the frequency band adaptability scores are close to or slightly higher than ξ, avoiding the situation that all frequency band adaptability scores are biased towards 0 or 1 and lose the distinction, so as to more accurately reflect the real frequency band situation;

[0083] ​Furthermore, when the operating frequency band with the highest adaptability score is found, it is set as the preferred operating frequency band of the RFID tags in the sub-area, the initial environment feature vector of the sub-area is updated, and the updated initial environment feature vector is recorded;

[0084] Furthermore, a confidence interval is constructed based on the initial environmental feature vector before the update. Based on the confidence interval, it is determined whether the updated initial environmental feature vector is within the confidence interval. If it exceeds the confidence interval, the frequency band adaptability score is recalculated.

[0085] It should be noted that the construction of the confidence interval can help evaluate the reliability of the current operating frequency band and determine whether it exceeds the reasonable range. In the solution of the present invention, the construction of the confidence interval needs to be based on the actual RFID model and can be obtained using the traditional mean and standard deviation method. It will not be described in detail here.

[0086] S3. Adjust the transmission power in the RFID tag data based on the optimal operating frequency band. Taking the transmission power in the RFID tag data as the optimization target, this improves warehouse energy management efficiency while reducing warehouse management operating costs, thereby achieving intelligent warehouse management.

[0087] Furthermore, according to the optimal working frequency band, the minimum recognition accuracy of the RFID tag is set to A. min And the minimum reading distance D min , taking the transmission power in the RFID tag data as the optimization target, the constraints are as follows:

[0088]

[0089] P max ≥P≥P min .

[0090] Where P is the transmit power, Expressed as the recognition accuracy of the RFID tag, F after switching n , Expressed as the reading distance of the RFID tag;

[0091] It should be noted that setting the minimum recognition accuracy and minimum reading distance can help RFID tags dynamically adjust the transmission power, thereby minimizing power consumption while improving recognition rate and maintaining a reasonable reading distance;

[0092] Furthermore, based on the constraints, the search is conducted simultaneously from the low-power and high-power ends of the RFID tag until it converges to the feasible power range, and the minimum point that satisfies the transmission power is found within the feasible power range.

[0093] Specifically, the search process is as follows:

[0094] The low power terminal P of the RFID tag low Expressed as the minimum transmission power P of the RFID tag min , the high power terminal P of the RFID tag high Expressed as the maximum transmission power P of the RFID tag max , and obtain the feasible power interval of RFID tag [P low ,P high ];

[0095] It should be noted that the low power end refers to the minimum power lower limit allowed by the RFID tag configuration, and the minimum transmit power refers to the minimum feasible power value under the constraints. Similarly, the high power end refers to the minimum power upper limit allowed by the RFID tag configuration, and the maximum transmit power refers to the maximum feasible power value under the constraints.

[0096] The low power terminal P low Substitute the Accuracy and Coverage functions in the constraints. If the constraints of the Accuracy and Coverage functions are met at the same time, it means that any point on the low-power end meets the minimum transmission power P of the RFID tag. min , that is, directly output the only minimum transmission power; otherwise, the high power end P high Substitute the Accuracy and Coverage functions in the constraints and continue to determine whether the constraints of the Accuracy and Coverage functions are met at the same time. If not, switch the working frequency of the RFID tag. If it is met, perform a high-power P by bisection. high Repeat the above process until the unique minimum transmit power value P is output. min Or the maximum transmission power P max , update P max ≥P≥P min ;

[0097] Find the minimum value of the transmission power in the updated P interval range as the minimum point that meets the RFID tag transmission power requirement;

[0098] Specifically, the dichotomy method is to select an intermediate value within the feasible power range. Every time the condition is met, the high power end shrinks once, that is, P high →P mid This approach is to reduce the computational complexity of the one-way search process and improve the search efficiency;

[0099] It should be noted that there are usually a large number of RFID tags in the warehouse environment, and if each tag maintains a high power, the overall power consumption will be extremely large. By dynamically adjusting and finding the minimum feasible point of power, the overall energy consumption of the warehouse system can be significantly reduced, the electricity cost can be reduced, the overall operating cost can be reduced, and the energy management efficiency of the entire warehouse can be improved.

[0100] Further, the embodiment also provides an intelligent warehouse management system based on RFID, comprising:

[0101] An environment and article joint evaluation module is configured to acquire RFID tag data and information of articles in the warehouse and receiving parameters of sensors, consider the comprehensive influence of the information of articles in the warehouse and the sensors on working frequency bands in the RFID tag data, and establish an environment and article joint evaluation factor;

[0102] A frequency band adaptability scoring module is configured to design a frequency band adaptability scoring formula based on the environment and article joint evaluation factor, calculate the adaptability score of each working frequency band in the RFID tag data, take the frequency band with the highest adaptability score as the current best working frequency band, and switch the current frequency band of the RFID tag to the best working frequency band;

[0103] A transmission power optimization module is configured to adjust the transmission power in the RFID tag data according to the best working frequency band, and take the transmission power in the RFID tag data as an optimization target, so as to improve the energy management efficiency of the warehouse, reduce the operating cost of the warehouse management, and thus realize intelligent warehouse management.

[0104] The embodiment also provides a computer device suitable for the case of the intelligent warehouse management method based on RFID, comprising:

[0105] A memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions to realize the intelligent warehouse management method based on RFID proposed in the above embodiment.

[0106] The computer device may be a terminal, comprising a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse.

[0107] This embodiment further provides a storage medium on which a computer program is stored. When the program is executed by a processor, the RFID-based intelligent warehouse management method proposed in the above embodiment is implemented.

[0108] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. Technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0109] Example 2

[0110] Reference Figure 2 and Figure 3 , which is the second embodiment of the present invention, provides an RFID-based intelligent warehouse management method, including: in order to verify that dynamically adjusting and finding the minimum feasible point of RFID tag transmission power can significantly reduce the overall energy consumption of the warehouse system, thereby reducing electricity costs and lowering overall operating costs, this experiment conducted multiple tests in a small warehouse environment, comparing the differences in power optimization, energy consumption, and operating costs between a traditional RFID system and an RFID system applying the method of the present invention;

[0111] The experimental site is a 600-square-meter warehouse with eight shelves stacked with a variety of items, including metal, wood, and plastic packaging. The warehouse temperature is maintained between 22°C and 30°C, with a relative humidity of 50% to 75%, simulating a typical warehouse environment. Each shelf is 2 meters high, and the items are stacked on standard pallets, each measuring 1 meter by 1 meter. High-frequency (UHF) RFID tags are selected, with a frequency band of 860-865MHz and a maximum operating distance of 10 meters. The tags are resistant to metal interference and suitable for warehouse environments. A high-performance RFID reader, model R-Reader-5000, is used. An environmental sensor, Env-Sensor-1000, is deployed to monitor the warehouse environment in real time and provide data to the RFID system for dynamic adjustment of transmission power. A power meter is used to record the system's power consumption data in watts (W).

[0112] The traditional RFID system test was conducted continuously for one week without power optimization, using a fixed frequency band and transmit power (2 watts). The recognition accuracy, read distance, and energy consumption of each RFID tag were recorded.

[0113] The RFID system test of the present invention dynamically adjusts the transmission power of the RFID tag according to temperature and humidity changes and the stacking method of the items. The power starts from the default value of 2 watts and is adjusted to the minimum feasible point (power range: 1.2 watts to 1.5 watts) through the algorithm;

[0114] The RFID tag recognition accuracy, reading distance, and system power consumption of the two systems were recorded and compared to analyze the impact of power optimization on energy efficiency and operating costs.

[0115] pass Figure 2 It can be seen that the solution of the present invention can significantly improve the adaptability score of RFID tags in specific frequency bands, especially in the 861MHz frequency band, where its adaptability score is improved by 8.24%. Figure 3 , it can be seen that the solution of the present invention is significantly superior to the traditional solution in terms of recognition accuracy, reading distance, energy consumption and operating costs. In particular, under power optimization, the energy efficiency of the solution of the present invention is improved by 50%, while the operating costs are reduced by 50%. That is, as the system energy consumption decreases, the operating costs also decrease.

[0116] It shows that through the optimization of the solution of the present invention, the RFID system not only performs better in performance, but also shows significant advantages in energy efficiency and cost control, providing strong support for the intelligent and sustainable development of warehouse management.

[0117] Those skilled in the art will appreciate that the embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Furthermore, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present application may be implemented in various computer languages, for example, object-oriented programming language Java and interpreted scripting language JavaScript, etc.

[0118] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0119] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0120] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0121] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0122] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. The intelligent warehouse management method based on RFID is characterized by: include: The RFID tag data, warehouse item information, and sensor receiving parameters are obtained separately. Considering the combined impact of warehouse item information and sensors on the working frequency band in the RFID tag data, a joint evaluation factor of the environment and items is established. Based on the joint evaluation factors of the environment and the item, a frequency band adaptability scoring formula is designed to calculate the adaptability score of each operating frequency band in the RFID tag data, and the frequency band with the highest adaptability score is used as the current optimal operating frequency band, and the current frequency band of the RFID tag is switched to the optimal operating frequency band; According to the optimal working frequency band, the transmission power in the RFID tag data is adjusted, and the transmission power in the RFID tag data is used as the optimization target, thereby improving the efficiency of warehouse energy management and reducing the operating cost of warehouse management, thereby realizing intelligent warehouse management; The steps of respectively obtaining RFID tag data, information about items in the warehouse, and receiving parameters of sensors include: Before acquiring RFID tag data, item information in the warehouse, and sensor reception parameters, the warehouse is divided into several environmental monitoring sub-areas. At least one set of sensors is deployed in each environmental monitoring sub-area. The sensor groups within the same sub-area are initialized, and the initial environmental feature vector of each sub-area is recorded. Obtain the set of RFID tag operating frequency bands, divide each operating frequency band into fine-grained sub-bands, initialize the RFID tag's transmit power, and simultaneously perform structured binding between the acquired warehouse item information and the item stacking configuration to obtain the item stacking characteristics; The above-mentioned consideration of the comprehensive impact of the warehouse item information and sensors on the working frequency band in the RFID tag data establishes a joint evaluation factor of the environment and items, including: Calculate the interference score of the initial environmental feature vector of each sub-area on the transmission power of the RFID tag to obtain the interference score of the sensor under the RFID tag; Based on the item stacking characteristics, the interaction factor between the item material and the sub-frequency band, the coefficient factor between the item stacking type and the sub-frequency band, and the attenuation factor between the item packaging density and the sub-frequency band are established to obtain the interference score of the item under the RFID tag; Establishing a joint environment and item evaluation factor based on the interference score of the sensor under the RFID tag and the interference score of the item under the RFID tag; Adjusting the transmission power in the RFID tag data according to the optimal operating frequency band, with the transmission power in the RFID tag data as an optimization target, includes: Set the minimum recognition accuracy of the RFID tag according to the optimal working frequency band and minimum reading distance , taking the transmission power in the RFID tag data as the optimization target, the constraints are as follows: in, is the transmit power, Expressed as the recognition accuracy of RFID tags, After switching , It represents the reading distance of the RFID tag; i represents the number of the environmental monitoring sub-area; is the maximum transmit power, is the minimum transmit power; Based on the constraint conditions, the search is performed simultaneously from the low-power end and the high-power end of the RFID tag until the power converges to a feasible range, and the minimum point that satisfies the transmission power is found within the feasible range.

2. The RFID-based intelligent warehouse management method according to claim 1, characterized in that: Based on the joint evaluation factors of the environment and the item, a frequency band adaptability scoring formula is designed to calculate the adaptability score of each working frequency band in the RFID tag data, including: The frequency band adaptability scoring formula is expressed as: in, It is expressed as the adaptability score of each working frequency band in the RFID tag data; Expressed as a joint assessment factor of environment and item; Expressed as the nth working frequency band F; It represents the sub-bands divided in the working frequency band F, and m is the number of sub-bands; Represents the translation parameter.

3. The RFID-based intelligent warehouse management method according to claim 2, characterized in that: The frequency band with the highest adaptability score is used as the current optimal operating frequency band, and the current frequency band of the RFID tag is switched to the optimal operating frequency band, including: When the operating frequency band with the highest adaptability score is found, it is set as the preferred operating frequency band of the RFID tag in the sub-area, the initial environment feature vector of the sub-area is updated, and the updated initial environment feature vector is recorded; A confidence interval is constructed based on the initial environmental feature vector before the update. Based on the confidence interval, it is determined whether the updated initial environmental feature vector is within the confidence interval. If it exceeds the confidence interval, the frequency band adaptability score is recalculated.

4. The RFID-based intelligent warehouse management method according to claim 1, characterized in that: The method of searching simultaneously from the low-power end and the high-power end of the RFID tag based on the constraint condition until converging to a feasible power range and finding a minimum point satisfying the transmission power within the feasible power range includes: The low power end of the RFID tag Expressed as the minimum transmission power of the RFID tag , the high power end of the RFID tag Expressed as the maximum transmission power of the RFID tag , get the power feasible range of RFID tag ; The low power side Substitute into the constraints and Function, if it satisfies and The constraint condition of the function indicates that any point at the low power end satisfies the minimum transmission power of the RFID tag. Otherwise, the high power end Substitute into the constraints and Function, continue to judge whether it satisfies and If the constraints of the function are not met, the operating frequency of the RFID tag is switched. If the constraints are met, the high power end is selected by dichotomy. Repeat the above process until the unique minimum transmit power value is output. Or maximum transmit power ,renew ; The minimum value of the transmission power in the updated P interval range is found as the minimum point that satisfies the RFID tag transmission power.

5. An RFID-based intelligent warehouse management system, based on the RFID-based intelligent warehouse management method according to any one of claims 1 to 4, characterized in that: include: The environment and item joint evaluation module is configured to respectively obtain RFID tag data, item information in the warehouse, and sensor receiving parameters, consider the combined impact of the item information in the warehouse and the sensor on the working frequency band in the RFID tag data, and establish an environment and item joint evaluation factor; a frequency band adaptability scoring module configured to design a frequency band adaptability scoring formula based on the environment and item joint evaluation factors, calculate the adaptability score of each operating frequency band in the RFID tag data, determine the frequency band with the highest adaptability score as the current optimal operating frequency band, and switch the current frequency band of the RFID tag to the optimal operating frequency band; The transmission power optimization module is configured to adjust the transmission power in the RFID tag data according to the optimal working frequency band, and take the transmission power in the RFID tag data as the optimization target. While improving the efficiency of warehouse energy management, it reduces the operating cost of warehouse management, thereby realizing intelligent warehouse management.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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