RFID antenna power control method and system considering partition identification, electronic equipment and storage medium

Abstract

The invention discloses an RFID antenna power control method and system considering partition identification, electronic equipment and a storage medium. The control method comprises the steps that S1, an RFID antenna transmits an electromagnetic signal to an RFID tag according to a preset transmitting power level; s2, the RFID tag carried by each electric energy meter responds to the electromagnetic signal and receives a reference message fed back by the corresponding electric energy meter; s3, the RFID reader-writer receives and records the RFID data transmission rate, the response signal strength, the corresponding electric energy meter reference information and the transmitting power level of each RFID tag under different transmitting power levels; s4, calculating a characteristic value according to the received data, and calculating a confidence coefficient according to the fed-back quantity of the electric energy meters; and S5, determining the optimal transmitting power level of the RFID antenna by combining the feature values and the confidence coefficients under different transmitting power levels. The problems that an existing RFID system is difficult to achieve accurate fine-grained identification in a complex storage environment, and the complexity of data management is increased due to the signal reflection and interference problems are solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of radio frequency identification, and in particular relates to an RFID antenna power control technology considering partition identification, which is specifically used for batch identification of electric energy meters. Background Art

[0002] With the rapid development of power systems and the sharp increase in the number of energy meters in use, how to manage these energy meters efficiently and accurately has become an important challenge. Traditional mechanical energy meters usually rely on manual on-site meter reading due to their low level of intelligence. This method is not only inefficient but also prone to data errors. Although electronic energy meters have improved data recording and transmission to a certain extent, they still face problems such as full life cycle data tracking and accurate query positioning. RFID technology has been introduced into energy meter management as an effective automatic identification technology to solve these challenges. However, RFID technology has also exposed some technical defects in practical applications, especially when used in energy meter storage cabinets, which have a significant impact on the accuracy and efficiency of the system.

[0003] In existing RFID systems, antennas are usually installed on the top of storage cabinets or other fixed locations to cover the entire storage area. However, this overall identification method makes it impossible to track and manage data in a fine-grained manner when there are a large number of electricity meters and complex storage locations. At the same time, RFID signals will encounter various reflections and interferences during propagation, which is particularly evident in environments with dense metal objects. There are usually many metal objects inside the storage cabinet, which will cause the reflection of RFID signals, resulting in problems of repeated or missed signal recognition. Specifically, signal reflection will cause the RFID reader to be unable to correctly determine the location and number of tags. This not only affects the accuracy of the data, but also increases the complexity of subsequent management and processing. In the design of storage cabinets, in order to prevent the reader from identifying the electricity meter of the storage cabinet next door, complex shielding measures are usually required. These shielding measures include using RFID shielding materials inside and outside the cabinet, adjusting the position and angle of the antenna, etc. However, although these shielding measures can reduce interference, they will also increase the complexity and cost of the system. In addition, in actual operation, signal interference from the cabinet next door may still exist, especially in a high-density storage environment, the interference problem may be more serious.

[0004] In the prior art, a Chinese patent with publication number CN108847011A discloses a method and system for reading and collecting data from multiple electric energy meters based on RFID communication, the method comprising the following steps: S1. Setting an RFID smart electric energy meter integrated with an RFID module at each electric energy collection point; S2. Controlling the RFID read / write module to read and collect data from each RFID smart electric energy meter within the range of action, wherein when there are two or more RFID smart electric energy meters that simultaneously send data to the RFID read / write module, a binary tree search algorithm is used to identify each RFID smart electric energy meter; S3. Real-time reception of the data collected by each RFID read / write module for storage and processing, and uploading to a cloud platform system; the system comprises multiple RFID smart electric energy meters, multiple RFID read / write modules, and a reading and collecting control terminal. The invention uses an adaptive binary tree search algorithm, which may require a deeper search tree and more computing resources when the number of electric energy meters increases. Although the strategy of adaptively adjusting branches helps to improve efficiency, large-scale application of electric energy meters or frequent collisions may increase the complexity of the algorithm and prolong the processing time. Summary of the invention

[0005] The present invention provides an RFID antenna power control method, system, electronic device and storage medium considering partition identification, aiming to solve the problem that the existing RFID system is difficult to achieve accurate fine-grained identification in a complex storage environment, and signal reflection and interference problems increase the complexity of data management.

[0006] In order to solve the above technical problems,

[0007] The present invention provides an RFID antenna power control method considering partition identification.

[0008] The following steps are involved:

[0009] S1: The RFID reader controls the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different intensities, and transmits the electromagnetic signals to the RFID tag in the energy meter storage cabinet according to the preset transmission power level.

[0010] S2: The RFID tag carried by each electric energy meter responds to the electromagnetic signal emitted by the RFID antenna and receives the reference message fed back by the corresponding electric energy meter.

[0011] S3: The RFID tag sends the received electric energy meter reference information back to the RFID reader, and the RFID reader receives and records the RFID data transmission rate, response signal strength, corresponding electric energy meter reference information and transmission power level of each RFID tag at different transmission power levels.

[0012] S4: Calculate characteristic values ​​based on the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level. The characteristic values ​​are used to quantify the accuracy of RFID antenna power for partition identification, and calculate the confidence of each transmission power level based on the number of electric energy meters fed back.

[0013] S5: Determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

[0014] Preferably, the electric energy meter reference information includes: identification information, location coordinates of the electric energy meter inside the storage cabinet, partition number and RFID tag installation position.

[0015] Preferably, the characteristic value calculated in step S4 according to the electromagnetic signal power, the response signal strength and the corresponding electric energy meter reference information of each transmission power level is specifically:

[0016]

[0017] In the formula, Feature i is the characteristic value of the i-th transmission power level; N s is the total number of energy meters responding to the i-th transmission power level, j∈[1,N s ]; S ij is the response signal strength of electric energy meter j at the i-th transmission power level; P i is the electromagnetic signal power of the i-th transmission power level; R j is the reference information of electric energy meter j; f(R j ) is the distance attenuation function of the electric energy meter j, which indicates the influence of the RFID tag position corresponding to the electric energy meter j on the distance of partition identification.

[0018] Preferably, the actual distance between the RFID tag of each electric energy meter and the RFID reader is calculated by the position coordinates of the electric energy meter inside the storage cabinet, the RFID tag installation position and the RFID reader inside the storage cabinet, and the distance attenuation model is used to calculate the position weight of the RFID tag, and the distance attenuation function is calculated according to the obtained position weight, which is specifically:

[0019] f(R j )=w p ·w u

[0020] In the formula, w p is the location weight of the RFID tag; w uIt is the correction factor of the electric energy meter, which is used to correct the signal attenuation or reflection caused by the distance according to the partition number of the electric energy meter. It takes a value of 0 when the electric energy meter is identified as belonging to other storage cabinets to prevent the electromagnetic signal from spreading to irrelevant partitions.

[0021] Preferably, the step S5 is specifically as follows:

[0022] Set the best transmission power level set and preset the number of set elements to N, determine the number of cluster centers of the clustering algorithm, output the best transmission power level set through the K-means clustering algorithm using the eigenvalues ​​and confidence levels, calculate the energy efficiency index for the best transmission power set, perform a comprehensive score, and select the transmission power level with the highest score as the final best transmission power level.

[0023] Preferably, in step S5, the energy efficiency index is calculated for the optimal transmit power set, and the transmit power level with the highest score is selected as the final optimal transmit power level. Specifically,

[0024] The energy efficiency value of each transmission power level is calculated according to the energy efficiency function. The energy efficiency value is the ratio of the performance index to the energy consumption. The performance index is the RFID data transmission rate.

[0025] The priority and energy efficiency values ​​are normalized, and the weighted scoring formula is used to combine the priority and energy efficiency to calculate the comprehensive score of each transmit power level, specifically:

[0026] G i =ax+by

[0027] In the formula, G i is the comprehensive score of the i-th transmission power level; a is the priority weight factor; x is the priority value of the transmission power level; b is the energy efficiency weight factor; y is the energy efficiency value of the transmission power level.

[0028] According to the calculated weighted scores, the transmit power level with the highest score is selected as the final optimal transmit power level.

[0029] Preferably, the method also includes: if the RFID tag carried by the electric energy meter does not respond to the electromagnetic signal emitted by the RFID antenna after the RFID reader controls the RFID antenna to send an electromagnetic signal according to the transmission power level, firstly, stepwise adjustments are made at the final optimal transmission power level according to a preset step size, and after each adjustment of the transmission power, the electric energy meter is tested whether it can correctly send a response signal; if the RFID tag carried by the electric energy meter still does not respond at these adjusted transmission power levels, then the remaining optimal transmission power levels in the optimal transmission power level set are selected in turn according to a predetermined priority order, and adjustments and tests are performed with the same step size until the RFID tag carried by the electric energy meter responds to the electromagnetic signal emitted by the RFID antenna.

[0030] On the other hand, the present invention provides an RFID antenna power control system considering partition identification, including: a transmission control module, a tag response and message receiving module, a data collection module, a feature calculation and confidence evaluation module and an optimal transmission power level determination module.

[0031] The transmission control module is used for the RFID reader to control the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different intensities, and transmit the electromagnetic signals to the RFID tag in the electric energy meter storage cabinet according to the preset transmission power level.

[0032] The tag response and message receiving module is used for the RFID tag carried by each electric energy meter to respond to the electromagnetic signal emitted by the RFID antenna and receive the reference message fed back by the corresponding electric energy meter.

[0033] The data collection module is used for the RFID tag to send the received electric energy meter reference information back to the RFID reader, and the RFID reader receives and records the RFID data transmission rate, response signal strength, corresponding electric energy meter reference information and transmission power level of each RFID tag at different transmission power levels.

[0034] The feature calculation and confidence assessment module is used to calculate the feature value based on the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level. The feature value is used to quantify the accuracy of RFID antenna power for partition identification, and calculate the confidence of each transmission power level based on the number of electric energy meters fed back.

[0035] The optimal transmission power level determination module is used to determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

[0036] On the other hand, the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the RFID antenna power control method taking into account partition identification as described in any embodiment of the present invention is implemented.

[0037] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the RFID antenna power control method considering partition identification as described in any embodiment of the present invention is implemented.

[0038] Compared with the prior art, the present invention has the following technical effects:

[0039] 1. The RFID antenna power control method considering partition identification described in the present invention can more accurately identify the electric energy meters in different partitions in the storage cabinet by adjusting the transmission power of the RFID antenna and recording the response signal strength and electric energy meter reference information at different transmission power levels, thereby reducing the possibility of repeated identification and missed identification; by adjusting the transmission power and calculating the optimal power level according to the characteristic value and confidence level, the transmission power is dynamically optimized, thereby improving the accuracy and reliability of identification; by calculating the distance attenuation function, the influence of the attenuation and reflection of the RFID signal on the identification is more accurately reflected, thereby further improving the identification effect.

[0040] 2. The RFID antenna power control method considering partition identification described in the present invention reduces the possibility of collision by adjusting the transmission power level, directly optimizes the recognition accuracy, and thus reduces the complexity of collision processing. The K-means clustering algorithm is used to cluster the eigenvalues ​​and confidence levels, select the best transmission power level set from multiple transmission power levels, and perform a comprehensive score based on the energy efficiency index to optimize the selection of the best transmission power level, while effectively balancing the RFID system performance and energy consumption, and improving the overall work efficiency.

[0041] 3. The RFID antenna power control method considering partition identification described in the present invention improves the adaptability of the RFID system by gradually adjusting the transmission power when the RFID tag fails to respond and testing whether the electric energy meter can respond correctly during the adjustment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is an overall flow chart of the RFID antenna power control method considering partition identification described in the present invention. DETAILED DESCRIPTION

[0043] In order to make the objectives, technical solutions and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in combination with specific embodiments of the present application and with reference to the accompanying drawings.

[0044] Embodiment 1

[0045] In modern power systems, storage cabinets equipped with a large number of energy meters are mainly used to monitor and manage the use of electricity. These energy meters are used to record and measure the consumption of electricity in real time, including parameters such as voltage, current, and power. They help power companies accurately measure the energy consumption of each user to ensure accurate billing. Therefore, by introducing the method described in this embodiment into the centralized management of energy meters, power companies can more conveniently track and maintain energy meters, realize automated data collection and system monitoring, and thus improve the efficiency and reliability of overall management.

[0046] This embodiment provides an RFID antenna power control method considering partition identification. The operating frequency bands of existing RFID systems are mainly divided into low frequency (LF, 125kHz), high frequency (HF, 13.56MHz) and ultra-high frequency (UHF, 860-960MHz). RFID tags and RFID readers must work in the same frequency band to communicate effectively. Among them, ultra-high frequency RFID tags provide longer reading distance and faster reading and writing speed, which are suitable for large-area identification;

[0047] The method described in this embodiment is mainly applied to the RFID system in the ultra-high frequency band. Figure 1 As shown, the following steps are included:

[0048] S1: The RFID reader controls the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different strengths according to the preset transmission power level P. tx = {P1,P2,…,P L}, where L is the preset total number of transmission power levels. The electromagnetic signal is transmitted to the RFID tag in the storage cabinet of the electric energy meter. Specifically, the RFID reader with adjustable power setting is started to transmit electromagnetic signals of different intensities by adjusting the transmission power, and the built-in data recording system or the external database can be used for data storage.

[0049] S2: The RFID tag carried by each electric energy meter responds to the electromagnetic signal emitted by the RFID antenna and receives the reference message fed back by the corresponding electric energy meter.

[0050] As a preferred implementation of this embodiment, the energy meter reference information includes: identification information, the location coordinates of the energy meter inside the storage cabinet, the partition number and the RFID tag installation position. The identification information can be a unique identification code or serial number for each energy meter. The partition number indicates the number of different areas or partitions divided inside the storage cabinet. There may be other items or obstacles such as tools, sundries or electrical equipment in different partitions. These factors affect the propagation and reflection of RFID electromagnetic signals. The RFID tag installation position indicates the relative installation position of the RFID tag on the energy meter, which affects the radiation and reception of the RFID electromagnetic signal.

[0051] S3: The RFID tag sends the received energy meter reference information back to the RFID reader. At the same time, the RFID reader receives and records the RFID data transmission rate and response signal strength S of each RFID tag at different transmission power levels. i,j (represents the response signal strength of the jth RFID tag at the i-th transmission power), and its corresponding electric energy meter reference information and transmission power level.

[0052] S4: Calculate characteristic values ​​based on the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level. The characteristic values ​​are used to quantify the accuracy of RFID antenna power for partition identification, and calculate the confidence of each transmission power level based on the number of electric energy meters fed back.

[0053] As a preferred implementation of this embodiment, the characteristic value calculated in step S4 according to the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level is specifically:

[0054]

[0055] In the formula, Feature i is the characteristic value of the i-th transmission power level; N s is the total number of energy meters responding to the i-th transmission power level, j∈[1,N s ]; S ij is the response signal strength of the RFID tag corresponding to the electric energy meter j at the i-th transmission power level; P i is the electromagnetic signal power of the i-th transmission power level; R j is the reference information of electric energy meter j; f(R j ) is the distance attenuation function of the electric energy meter j, which indicates the influence of the RFID tag position corresponding to the electric energy meter j on the distance of partition identification.

[0056] As a preferred implementation of this embodiment, the actual distance between the RFID tag of each electric energy meter and the RFID reader is calculated by the position coordinates of the electric energy meter inside the storage cabinet, the RFID tag installation position and the RFID reader inside the storage cabinet. The distance attenuation model is used to calculate the position weight of the RFID tag, and the distance attenuation function is calculated according to the obtained position weight, which is specifically:

[0057] f(R j )=w p ·w u

[0058] In the formula, w p is the location weight of the RFID tag; w u It is the correction factor of the electric energy meter, which is used to correct the signal attenuation or reflection caused by the distance according to the partition number of the electric energy meter. It takes a value of 0 when the electric energy meter is identified as belonging to other storage cabinets to prevent the electromagnetic signal from spreading to irrelevant partitions.

[0059] The calculation formula for calculating the position weight of the RFID tag using the distance decay model is as follows:

[0060]

[0061] Where L(d0) is the path loss, and its value depends on the environment; d0 is the near-ground reference distance; n sf is the path loss factor, which is usually 3 in a semi-enclosed space and 3.5 in a fully enclosed space; d j is the position distance of the RFID tag corresponding to the energy meter j relative to the reader, which can be calculated through the position coordinates of the RFID reader, the position coordinates of the energy meter inside the storage cabinet and the installation position of the RFID tag. Specifically, the relative distance between the RFID tag and the energy meter is calculated through the position coordinates of the energy meter inside the storage cabinet and the installation position of the RFID tag. According to the relative distance, the installation position of the RFID tag is converted into the position coordinates in the same coordinate system as the position coordinates of the RFID reader, and then the position distance of the RFID tag relative to the reader is obtained through the Euclidean distance formula; α is the channel attenuation factor, which is usually taken as 0.2.

[0062] Furthermore, the calculation formula of I(d0) is as follows:

[0063]

[0064] Where f is the transmission frequency of the RFID reader; d0 is the near-ground reference distance.

[0065] As a preferred implementation of this embodiment, the confidence level can be calculated according to the set confidence level using the corresponding Z value (normal distribution, usually 1.96) or t value (Student t distribution, depending on the sample size and confidence level) to calculate the confidence interval. This embodiment takes the Z value to calculate the confidence interval as an example to evaluate the confidence interval of each transmit power level. Specifically, assuming that n sample data points are collected, the sample data mean and the sample data standard deviation are calculated according to the sample data volume, and the confidence level is selected (generally 95%), and the confidence interval of each transmit power level is calculated by the Z value formula, specifically:

[0066]

[0067] In the formula, CI is the confidence interval; is the mean of the sample data; Z is the Z value; s is the standard deviation of the sample data; n is the sample size.

[0068] As a preferred implementation of this embodiment, the RFID reader can also be equipped with a noise measurement function or a suitable noise estimation algorithm can be selected according to the hardware and application requirements of the RFID reader, so as to estimate the noise intensity by measuring the background noise level when the RFID reader does not receive the RFID tag signal. The signal-to-noise ratio of each transmission power level is calculated based on the response signal strength measured by the RFID reader when receiving the RFID tag signal. The calculation formula of the signal-to-noise ratio is specifically as follows:

[0069]

[0070] Where SNR is the signal-to-noise ratio; S is the response signal strength; N is the background noise strength.

[0071] The signal-to-noise ratio index calculated above is combined with the eigenvalue and confidence and input into the K-means clustering algorithm to improve the accuracy of selecting the transmission power level.

[0072] S5: Determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

[0073] As a preferred implementation of this embodiment, step S5 is specifically as follows:

[0074] Set the best transmission power level set and preset the number of set elements to N, determine the number of cluster centers of the clustering algorithm, output the best transmission power level set through the K-means clustering algorithm using the eigenvalues ​​and confidences, calculate the energy efficiency index for the best transmission power set, perform a comprehensive score, and select the transmission power level with the highest score as the final best transmission power level. Further, output the best transmission power level set through the K-means clustering algorithm using the eigenvalues ​​and confidences as follows: combine the eigenvalues ​​and confidences into a comprehensive eigenvector, and normalize each eigenvector; determine the number of cluster centers of the clustering algorithm, input the eigenvectors into the K-means clustering algorithm, assign each eigenvector to the nearest cluster center, and update the cluster center to the mean of all eigenvectors assigned to the center. Repeat the above steps until the cluster center is stable or converged, and obtain the centers of K clusters and the cluster to which each feature vector belongs; evaluate the quality of the cluster based on evaluation indicators such as the number of cluster samples. Clusters with more samples can identify a wider range of RFID tags, and sort the transmission power levels in the selected clusters according to the confidence priority. Specifically, the narrower the confidence interval, the higher the priority of the transmission power level. Then, the optimal transmission power level set is selected by the preset number of set elements N.

[0075] As a preferred implementation of this embodiment, in step S5, the energy efficiency index is calculated for the optimal transmit power set, and the transmit power level with the highest score is selected as the final optimal transmit power level. Specifically,

[0076] The energy efficiency value of each transmission power level is calculated according to the energy efficiency function. The energy efficiency value is the ratio of the performance index to the energy consumption. The performance index is the RFID data transmission rate.

[0077] The priority and energy efficiency values ​​are normalized, and the weighted scoring formula is used to combine the priority and energy efficiency to calculate the comprehensive score of each transmit power level, specifically:

[0078] G i =ax+by

[0079] In the formula, G i is the comprehensive score of the i-th transmission power level; a is the priority weight factor; x is the priority value of the transmission power level; b is the energy efficiency weight factor, specifically, a+b=1, the weight factor can be adjusted according to actual needs to balance the impact of priority and energy efficiency. In this embodiment, priority is more important, so the priority weight factor is set to at least 0.5; y is the energy efficiency value of the transmission power level.

[0080] According to the calculated weighted scores, the transmission power level with the highest score is selected as the final optimal transmission power level to ensure that the transmission power level has the best energy efficiency performance while ensuring that the RFID tag carried by the electricity meter responds to the transmitted electromagnetic signal.

[0081] As a preferred implementation mode of this embodiment, the method also includes: if the RFID tag carried by the electric energy meter does not respond to the electromagnetic signal emitted by the RFID antenna after the RFID reader controls the RFID antenna to send an electromagnetic signal according to the transmission power level, firstly, according to a preset step size (specifically, 0.1dB-0.5dB), the final optimal transmission power level is gradually adjusted, and after each adjustment of the transmission power, whether the electric energy meter can correctly send a response signal is tested until the upper limit of the set range is reached, wherein the set range is determined by the set transmission power level range; if the RFID tag carried by the electric energy meter still does not respond at these adjusted transmission power levels, then the remaining optimal transmission power levels in the optimal transmission power level set are selected in turn according to a predetermined priority order, and adjusted and tested with the same step size until the RFID tag carried by the electric energy meter responds to the electromagnetic signal emitted by the RFID antenna, the transmission power level is adjusted and tested according to the preset step size, and the transmission power level that can ensure the stable response of the electric energy meter is re-determined.

[0082] If the RFID tag carried by the energy meter still does not respond after the iteration of the optimal transmission power level set is completed, try to reconfigure the RFID reader and the energy meter. You may need to check and adjust the parameter settings of the RFID communication protocol, or restart or reconfigure the RFID reader and other related equipment to solve the communication problem.

[0083] Embodiment 2

[0084] Accordingly, this embodiment provides an RFID antenna power control system considering partition identification, including: a transmission control module, a tag response and message receiving module, a data collection module, a feature calculation and confidence evaluation module and an optimal transmission power level determination module.

[0085] The transmission control module is used for the RFID reader to control the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different intensities, and transmit the electromagnetic signal to the RFID tag in the electricity meter storage cabinet according to the preset transmission power level. This module is used to implement the function of step S1 in Example 1 and will not be repeated here.

[0086] The tag response and message receiving module is used for the RFID tag carried by each electric energy meter to respond to the electromagnetic signal emitted by the RFID antenna and receive the reference message fed back by the corresponding electric energy meter. This module is used to implement the function of step S2 in embodiment 1 and will not be repeated here.

[0087] The data collection module is used for the RFID tag to send the received electric energy meter reference information back to the RFID reader. At the same time, the RFID reader receives and records the RFID data transmission rate, response signal strength, corresponding electric energy meter reference information and transmission power level of each RFID tag at different transmission power levels. This module is used to implement the function of step S3 in Example 1 and will not be repeated here.

[0088] The feature calculation and confidence assessment module is used to calculate the feature value according to the electromagnetic signal power, the response signal strength and the corresponding electric energy meter reference information of each transmission power level. The feature value is used to quantify the accuracy of the RFID antenna power for partition identification, and calculate the confidence of each transmission power level according to the number of electric energy meters fed back. This module is used to implement the function of step S4 in Example 1 and will not be repeated here.

[0089] The optimal transmission power level determination module is used to determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidences at different transmission power levels. This module is used to implement the function of step S5 in the first embodiment and will not be described in detail here.

[0090] Embodiment 3

[0091] This embodiment provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the RFID antenna power control method considering partition identification as described in any embodiment of the present invention when executing the computer program.

[0092] Embodiment 4

[0093] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the RFID antenna power control method considering partition identification as described in any embodiment of the present invention is implemented.

[0094] In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, c can be single or multiple.

[0095] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0096] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0097] In several embodiments provided in the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), disk or optical disk, and other media that can store program codes.

[0098] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A RFID antenna power control method considering partition identification, It is characterized in that The following steps are involved: S1: The RFID reader controls the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different strengths, and transmits the electromagnetic signals to the RFID tag in the energy meter storage cabinet according to the preset transmission power level; S2: The RFID tag carried by each electric energy meter responds to the electromagnetic signal emitted by the RFID antenna and receives the reference message fed back by the corresponding electric energy meter; S3: The RFID tag sends the received electric energy meter reference information back to the RFID reader / writer, and the RFID reader / writer receives and records the RFID data transmission rate, response signal strength, corresponding electric energy meter reference information and transmission power level of each RFID tag at different transmission power levels; S4: Calculate a characteristic value according to the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level, wherein the characteristic value is used to quantify the accuracy of RFID antenna power for partition identification, and calculate the confidence of each transmission power level according to the number of electric energy meters fed back; S5: Determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

2. The RFID antenna power control method considering partition identification according to claim 1, It is characterized in that The electric energy meter reference information includes: identification information, location coordinates of the electric energy meter inside the storage cabinet, partition number and RFID tag installation position.

3. The RFID antenna power control method considering partition identification according to claim 2, It is characterized in that The characteristic value calculated in step S4 according to the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level is specifically: In the formula, Feature i is the characteristic value of the i-th transmission power level; N s is the total number of energy meters responding to the i-th transmission power level, j∈[1,N s ]; S ij is the response signal strength of electric energy meter j at the i-th transmission power level; P i is the electromagnetic signal power of the i-th transmission power level; R j is the reference information of electric energy meter j; f(R j ) is the distance attenuation function of the electric energy meter j, which indicates the influence of the RFID tag position corresponding to the electric energy meter j on the distance of partition identification.

4. The RFID antenna power control method considering partition identification according to claim 3, It is characterized in that The actual distance between the RFID tag of each electric energy meter and the RFID reader is calculated by the position coordinates of the electric energy meter inside the storage cabinet, the RFID tag installation position and the RFID reader inside the storage cabinet. The distance attenuation model is used to calculate the position weight of the RFID tag, and the distance attenuation function is calculated based on the obtained position weight, which is specifically: d(R j )=w p ·w u In the formula, w p is the location weight of the RFID tag; w u It is the correction factor of the electric energy meter, which is used to correct the signal attenuation or reflection caused by the distance according to the partition number of the electric energy meter. It takes a value of 0 when the electric energy meter is identified as belonging to other storage cabinets to prevent the electromagnetic signal from spreading to irrelevant partitions.

5. The RFID antenna power control method considering partition identification according to claim 1, It is characterized in that The step S5 is specifically as follows: Set the best transmission power level set and preset the number of set elements to N, determine the number of cluster centers of the clustering algorithm, output the best transmission power level set through the K-means clustering algorithm using the eigenvalues ​​and confidence levels, calculate the energy efficiency index for the best transmission power set, perform a comprehensive score, and select the transmission power level with the highest score as the final best transmission power level.

6. The RFID antenna power control method considering partition identification according to claim 5, It is characterized in that In step S5, the energy efficiency index is calculated for the optimal transmit power set, and the transmit power level with the highest score is selected as the final optimal transmit power level. Specifically, the following is done: The energy efficiency value of each transmission power level is calculated according to the energy efficiency function. The energy efficiency value is the ratio of the performance index to the energy consumption. The performance index is the RFID data transmission rate. The priority and energy efficiency values ​​are normalized, and the weighted scoring formula is used to combine the priority and energy efficiency to calculate the comprehensive score of each transmit power level, specifically: G i =ax+by In the formula, G i is the comprehensive score of the i-th transmission power level; a is the priority weight factor; x is the priority value of the transmission power level; b is the energy efficiency weight factor; y is the energy efficiency value of the transmission power level; According to the calculated weighted scores, the transmit power level with the highest score is selected as the final optimal transmit power level.

7. The RFID antenna power control method considering partition identification according to claim 5, It is characterized in that The method further comprises: If the RFID tag carried by the electric energy meter does not respond to the electromagnetic signal transmitted by the RFID antenna after the RFID reader controls the RFID antenna to transmit an electromagnetic signal according to the transmission power level, firstly, stepwise adjustments are made at the final optimal transmission power level according to a preset step size, and after each adjustment of the transmission power, the electric energy meter is tested whether it can correctly send a response signal; if the RFID tag carried by the electric energy meter still does not respond at these adjusted transmission power levels, then the remaining optimal transmission power levels in the optimal transmission power level set are selected in turn according to a predetermined priority order, and adjustments and tests are performed with the same step size until the RFID tag carried by the electric energy meter responds to the electromagnetic signal transmitted by the RFID antenna.

8. A control system using the RFID antenna power control method considering partition identification as claimed in any one of claims 1 to 7, It is characterized in that It includes: a transmission control module, a tag response and message receiving module, a data collection module, a feature calculation and confidence evaluation module and an optimal transmission power level determination module; The transmission control module is used for the RFID reader to control the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different strengths, and transmit the electromagnetic signals to the RFID tags in the electric energy meter storage cabinet according to the preset transmission power level; The tag response and message receiving module is used for the RFID tag carried by each electric energy meter to respond to the electromagnetic signal emitted by the RFID antenna and receive the reference message fed back by the corresponding electric energy meter; The data collection module is used for the RFID tag to send the received electric energy meter reference information back to the RFID reader-writer, and the RFID reader-writer receives and records the RFID data transmission rate, response signal strength, corresponding electric energy meter reference information and transmission power level of each RFID tag at different transmission power levels; A feature calculation and confidence assessment module, which is used to calculate feature values ​​according to the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level. The feature values ​​are used to quantify the accuracy of RFID antenna power for partition identification, and calculate the confidence of each transmission power level according to the number of electric energy meters fed back; The optimal transmission power level determination module is used to determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

9. An electronic device, The electronic device comprises: A memory, a processor, and a computer program stored in the memory and executable on the processor, It is characterized in that When the processor executes the computer program, the RFID antenna power control method considering zone identification according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, A computer program is stored thereon, It is characterized in that When the computer program is executed by a processor, the RFID antenna power control method considering zone identification according to any one of claims 1 to 7 is implemented.

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