Data acquisition method and system of RFID sensor tag

Abstract

The invention relates to the technical field of data acquisition, in particular to a data acquisition method and system for RFID sensor tags, and the method comprises the steps: determining the data priority transmission necessity according to the signal fluctuation intensity characteristics of the current data of each RFID sensor tag, obtaining the data importance according to the signal fluctuation intensity increase trend of each RFID sensor tag, and obtaining the data priority transmission necessity according to the data priority transmission necessity; the signal fluctuation intensity increasing trend represents the increasing trend of the signal fluctuation intensity characteristics of each historical data in the neighborhood range of the current data, the channel occupancy rate of each RFID sensor tag is determined, the channel occupancy rate is obtained according to the data priority transmission necessity and the data importance, the more critical the RFID sensor tag data is, the higher the channel occupancy rate is, and the higher the channel occupancy rate is. Therefore, the key RFID sensor tag data can be uploaded preferentially, and the problem of communication delay of the key sensor data is solved, so that the data acquisition efficiency of the RFID sensor tag is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition, and in particular to a data acquisition method and system for an RFID sensor tag. Background Art

[0002] With the rapid development of the Internet of Things (IoT), the deep integration of sensor and communication technologies has become a key development direction for intelligent sensing systems. Radio Frequency Identification (RFID), as a contactless automatic identification technology, offers advantages such as long-range recognition, no line-of-sight requirements, and the ability to be embedded in a variety of carriers. By integrating sensor technology with RFID, RFID sensor tags can simultaneously carry identification information and collect physical information such as temperature, humidity, pressure, and displacement. In recent years, to efficiently and reliably acquire data from a large number of RFID sensor tags deployed in an environment, a tag autonomous reporting mode has been commonly adopted. Under specific conditions (such as sensor readings exceeding a threshold, timer expiration, or external triggering), the tags proactively transmit stored sensor data, enabling data collection from RFID sensor tags.

[0003] In the prior art, multiple RFID sensor tags are used to monitor various data in intelligent sensing scenarios. Events or timing trigger mechanisms enable RFID sensor tags to actively upload data. When multiple RFID sensor tags respond to the reader's query command at the same time or frequently upload data, in order to prevent collisions, the ALOHA algorithm is usually used to mitigate collisions. However, various types of information in intelligent scenarios may affect or interfere with each other. Randomly uploading RFID sensor tag data by randomly waiting for staggered responses cannot ensure that the uploaded data is helpful for analyzing the cause of the accident. At the same time, the key sensor data directly affected by the accident increases the number of retries and communication delays due to the frequent triggering of the upload mechanism, seriously affecting the overall data collection efficiency and response speed of the system. The existing solution is to assign equal channel occupancy to each RFID sensor tag data. However, this method still cannot solve the communication delay problem of key sensor data, seriously affecting the data collection efficiency of RFID sensor tags. Summary of the Invention

[0004] In order to solve the technical problem that allocating equal channel occupancy to each RFID sensor tag data affects the data collection efficiency of the RFID sensor tag, the purpose of the present invention is to provide a data collection method and system for RFID sensor tags. The technical solution adopted is as follows: In a first aspect of the present invention, a data collection method for an RFID sensor tag is provided, comprising: Determining the necessity of data priority transmission for each RFID sensor tag based on the signal fluctuation strength characteristics of the current data of each RFID sensor tag; The data importance of each RFID sensor tag is obtained from the increasing trend of the signal fluctuation strength of each RFID sensor tag, wherein the increasing trend of the signal fluctuation strength represents the increasing trend of the signal fluctuation strength characteristics of each historical data within the neighborhood of the current data; The channel occupancy rate of each RFID sensor tag is determined, where the channel occupancy rate is obtained from the necessity of data priority transmission and the importance of the data.

[0005] In an exemplary embodiment, the process of acquiring the signal fluctuation intensity feature includes: Get the mean of the signal amplitude difference of the current data and the signal amplitude variance of the current data; According to the signal amplitude difference mean and signal amplitude variance of the current data, a signal fluctuation intensity feature of the current data is obtained; the signal fluctuation intensity feature is positively correlated with the signal amplitude difference mean and signal amplitude variance.

[0006] In an exemplary embodiment, the necessity of data priority transmission of each RFID sensor tag is obtained by normalizing the maximum and minimum values ​​of the signal fluctuation intensity characteristics of the current data of each RFID sensor tag.

[0007] In an exemplary embodiment, before determining the necessity of prioritizing data transmission of each RFID sensor tag based on the signal fluctuation intensity characteristics of current data of each RFID sensor tag, the data collection method of the RFID sensor tag further includes: Determining the channel utilization of the current communication link and the overall level of the signal fluctuation strength characteristic; the overall level of the signal fluctuation strength characteristic is the average value of the signal fluctuation strength characteristics of the current data of each RFID sensor tag; determining whether a communication state of the current communication link has a high collision risk based on the overall level of the channel utilization and signal fluctuation intensity characteristics of the current communication link; If there is a high collision risk in the current communication link, the necessity of prioritizing data transmission of each RFID sensor tag is determined based on the signal fluctuation intensity characteristics of the current data of each RFID sensor tag.

[0008] In an exemplary embodiment, the process of determining whether the communication state of the current communication link has a high collision risk includes: According to the overall level of the channel utilization and signal fluctuation intensity characteristics of the current communication link, the communication status index of the current communication link is obtained; The communication state indicator is compared with a preset threshold value. If the communication state indicator is greater than or equal to the preset threshold value, it is determined that the communication state of the current communication link has a high collision risk.

[0009] In an exemplary embodiment, the process of obtaining the increasing trend of the signal fluctuation intensity includes: Determine the signal fluctuation intensity characteristic difference between the latter historical data and the former historical data in the adjacent two historical data within the neighborhood range, calculate the average value of the signal fluctuation intensity characteristic difference within the neighborhood range, and obtain the signal fluctuation intensity increasing trend.

[0010] In an exemplary embodiment, the data importance of each RFID sensor tag is obtained by normalizing the maximum and minimum values ​​of the increasing trend of the signal fluctuation intensity of each RFID sensor tag.

[0011] In an exemplary embodiment, the process of acquiring the channel occupancy rate includes: Calculating the product of the data priority transmission necessity and the data importance of each RFID sensor tag to obtain a channel occupancy characteristic of each RFID sensor tag; The ratio of the channel occupancy rate feature of each RFID sensor tag to the sum of the channel occupancy rate features is used as the channel occupancy rate of each RFID sensor tag; the sum of the channel occupancy rate features is the sum of the channel occupancy rate features of each RFID sensor tag.

[0012] In an exemplary embodiment, after determining the channel occupancy rate of each RFID sensor tag, the data collection method of the RFID sensor tag further includes: According to the channel occupancy rate of each RFID sensor tag, a channel is allocated to each RFID sensor tag to complete data uploading of each RFID sensor tag.

[0013] In a second aspect of the present invention, a data acquisition system for an RFID sensor tag is provided, comprising: a memory and a processor; the memory is connected to the processor; the memory is used to store program instructions; and the processor is used to implement the above-mentioned data acquisition method for the RFID sensor tag when the program instructions are executed.

[0014] The present invention has the following beneficial effects: the present invention allocates the channel occupancy rate of each RFID sensor tag according to the necessity of data priority transmission and data importance of the current data of each RFID sensor tag. The more critical the RFID sensor tag data is, the higher the channel occupancy rate is, and the critical RFID sensor tag data can be uploaded first, solving the communication delay problem of the critical sensor data, thereby improving the data collection efficiency of the RFID sensor tag. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the composition of a data communication system for an RFID sensor tag provided by one embodiment of the present invention; Figure 2 This is a flow chart of a data collection method for an RFID sensor tag provided by one embodiment of the present invention; Figure 3 This is a flow chart for obtaining signal fluctuation intensity characteristics provided by one embodiment of the present invention; Figure 4 This is a schematic diagram of a process in which multiple RFID sensor tags provide data uploading to a collection component via a communication link according to an embodiment of the present invention; Figure 5 A data collection method for an RFID sensor tag provided by one embodiment of the present invention further includes a flowchart of the steps; Figure 6 This is a flow chart of obtaining channel occupancy provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0016] To further illustrate the technical means and effects employed by the present invention to achieve its intended objectives, the following detailed description of the specific embodiments, structures, features, and effects of the present invention is provided in conjunction with the accompanying drawings and preferred embodiments. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0017] Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the art to which this invention pertains. The data and information collected in this application were obtained with full consent and authorization.

[0018] The following is a brief introduction to the data communication system of RFID sensor tags, such as Figure 1As shown, the system process is as follows: tag deployment and activation preparation: the RFID sensor tag is attached or embedded on the target object / environment, and the tag presets a unique ID (EPC code (Electronic Product Code)) and sensor type; the reader issues a collection command: the tag is activated by the radio frequency signal, and a query or read command is issued to specify the data area to be read (such as the sensor value storage address); the tag senses and samples data: the sensor module in the tag collects environmental information in real time, stores the sampled value in the tag's storage area and uploads it according to the corresponding cycle or event trigger response; data upload and reader reception: the tag uploads the EPC code and sensor data through backscatter modulation, and the reader receives and decodes it to extract the valid monitoring value; data upload to the background system: all tag data is uploaded to the server through the communication link; the communication link status is monitored and the real-time channel utilization of the communication link is recorded.

[0019] When multiple RFID sensor tags simultaneously monitor data in smart scenarios, they are usually limited by power supply capacity and communication bandwidth and cannot continuously upload real-time data. Therefore, in practical applications, fixed-cycle upload combined with event triggering mechanism is often used to collect and upload data. Normally, each RFID sensor tag uploads sensor data at the same time interval. When a sudden event occurs, the RFID sensor tag detects an abnormal change in the sensor value (such as exceeding the set threshold), and immediately activates the communication module to trigger data upload.

[0020] It should be understood that sensor data from different RFID sensor tags may vary in type, such as temperature or current. Therefore, the sensor data from each RFID sensor tag needs to be normalized (for example, using Z-Score normalization) to eliminate dimension and facilitate subsequent data processing between different RFID sensor tags. All subsequent sensor data from each RFID sensor tag will be normalized data.

[0021] This embodiment provides a data collection method for an RFID sensor tag, such as Figure 2 As shown, the following steps are included: Step S1: determining the necessity of data priority transmission of each RFID sensor tag based on the signal fluctuation strength characteristics of the current data of each RFID sensor tag; Step S2: obtaining the data importance of each RFID sensor tag based on the increasing trend of the signal fluctuation intensity of each RFID sensor tag; Step S3: determining the channel occupancy rate of each RFID sensor tag, where the channel occupancy rate is obtained from the necessity of data priority transmission and the importance of the data.

[0022] Each step is described in detail below with reference to the accompanying drawings.

[0023] Step S1: determining the necessity of data priority transmission of each RFID sensor tag according to the signal fluctuation strength characteristics of the current data of each RFID sensor tag.

[0024] First, it is necessary to analyze the communication status of the data currently uploaded by multiple RFID sensor tags. When an emergency occurs, the sensors directly affected by the event will monitor sensor data with different fluctuation patterns from the past. By analyzing the signal fluctuation strength of the RFID sensor tag upload frame, the importance of the uploaded data of each sensor tag to the analysis of the abnormal event can be determined. Among them, the tag upload frame is the data currently uploaded by the tag to the server, that is, the current data of the RFID sensor tag. The current data of each RFID sensor tag is obtained in the server, that is, the latest successfully uploaded data frame, and the signal fluctuation strength characteristics of the current data of each RFID sensor tag are obtained based on the current data of each RFID sensor tag. The signal fluctuation strength characteristics characterize the signal fluctuation degree of the current data. The stronger the signal fluctuation degree of the current data, the more obvious the signal fluctuation strength characteristics. In an exemplary embodiment, as Figure 3 As shown, a specific process of obtaining the signal fluctuation intensity feature is given as follows: Step S1-1: Obtain the mean value of the signal amplitude difference of the current data and the signal amplitude variance of the current data.

[0025] Any RFID sensor tag is defined as a target RFID sensor tag. For ease of description, the target RFID sensor tag is taken as an example below.

[0026] It should be understood that the target RFID sensor tag uploads a segment of sensor data each time, and a segment of sensor data represents a frame of sensor data. Therefore, the current data of the target RFID sensor tag is a segment of sensor data in a time sequence, including multiple sensor signals in a time sequence.

[0027] The signal amplitudes of each sensor signal in the current data of the target RFID sensor tag are obtained. The absolute value of the difference between the signal amplitudes of each two adjacent sensor signals is calculated as the signal amplitude difference of each two adjacent sensor signals. The average of the signal amplitude differences is then calculated as the mean signal amplitude difference of the current data of the target RFID sensor tag. The mean signal amplitude difference indicates the signal fluctuation strength of the current data of the target RFID sensor tag. The larger the mean signal amplitude difference, the greater the signal fluctuation strength.

[0028] The variance of the signal amplitudes of the various sensor signals in the current data of the target RFID sensor tag is calculated as the signal amplitude variance of the current data of the target RFID sensor tag. The signal amplitude variance indicates the strength of the signal fluctuation in the current data of the target RFID sensor tag. A larger signal amplitude variance indicates a greater signal fluctuation.

[0029] Step S1-2: Obtain the signal fluctuation intensity characteristics of the current data based on the signal amplitude difference mean and signal amplitude variance of the current data.

[0030] The signal amplitude difference mean and signal amplitude variance of the current data of the target RFID sensor tag are integrated to obtain a signal fluctuation intensity feature of the current data of the target RFID sensor tag. The signal fluctuation intensity feature is positively correlated with both the signal amplitude difference mean and the signal amplitude variance. In one exemplary embodiment, the product of the signal amplitude difference mean and the signal amplitude variance of the current data of the target RFID sensor tag is calculated as the signal fluctuation intensity feature of the current data of the target RFID sensor tag. This results in a signal fluctuation intensity feature of the current data of each RFID sensor tag.

[0031] As another implementation, only the signal amplitude difference mean or the signal amplitude variance may be used as the signal fluctuation intensity feature.

[0032] It should be understood that there may be certain correlations between various sensor data in smart scenarios. When encountering emergencies, multiple sensor data may be abnormal at the same time. Multiple RFID sensor tags are triggered at the same time and upload a large amount of data, causing conflicts and collisions and continuous delays in retransmission, resulting in reduced data collection efficiency. Therefore, in order to effectively alleviate the communication collision problem of sensor data, it is necessary to determine whether the current communication state has a high collision risk, thereby triggering the corresponding collision mitigation mechanism. Figure 4 As shown in Figure 1, it is the process of multiple RFID sensor tags uploading data to the collection component through the communication link. When an accident occurs, a collision occurs during this process.

[0033] When the communication status of the communication link is poor, it is necessary to dynamically allocate the transmission occupancy rate (i.e., the channel occupancy rate) to ensure that important information is successfully and quickly uploaded. When the signal fluctuation intensity characteristics of all RFID sensor tags currently uploading are strong, it means that the event interference is serious at this time, and the probability of frequent response uploads is greater. At the same time, the probability of successful tag upload of data is reduced, and the channel utilization rate decreases, and timely communication intervention is required. The communication status of the current communication link is obtained based on the signal fluctuation intensity characteristics of the data uploaded by all RFID sensor tags and the channel utilization rate of the current communication link. And based on the communication status of the current communication link, it is judged whether there is a high collision risk. In an exemplary embodiment, if Figure 5 As shown, before determining the necessity of prioritizing data transmission of each RFID sensor tag based on the signal fluctuation intensity characteristics of the current data of each RFID sensor tag, the data collection method of the RFID sensor tag provided in this embodiment further includes the following steps: Step S100: Determine the channel utilization of the current communication link and the overall level of the signal fluctuation intensity characteristics.

[0034] Obtain the channel utilization of the current communication link. Channel utilization is the ratio of the actual bandwidth used by the communication link to the total bandwidth of the communication link, and the value range is 0-1. Channel utilization is commonly obtained based on throughput measurement. This method measures the actual amount of data transmitted on the communication link over a period of time (i.e., the current time) and then divides it by the maximum amount of data that the communication link can theoretically transmit during that period. Actual throughput can be measured using network monitoring tools, such as professional network performance monitoring tools (such as distributed monitoring systems, PRTG Router Traffic Grapher, SolarWinds Network Performance Monitor, Nagios, Cacti Network Traffic Monitoring and Analyzing Tools, MRTG, traffic analyzers, and statistics functions in network packet analyzers). These tools typically collect interface byte counts through SNMP, NetFlow / sFlow / IPFIX, or direct packet capture. It should be understood that monitoring methods for communication link channel utilization are existing and will not be further explained.

[0035] The average value of the signal fluctuation strength feature of the current data of each RFID sensor tag is calculated as the overall level of the signal fluctuation strength feature.

[0036] Step S200: judging whether the communication state of the current communication link has a high collision risk based on the overall level of the channel utilization and signal fluctuation intensity characteristics of the current communication link.

[0037] In an exemplary embodiment, the communication status index of the current communication link is obtained based on the channel utilization rate and the overall level of the signal fluctuation intensity characteristics of the current communication link. The higher the channel utilization rate of the current communication link, the higher the probability of collision conflicts during signal transmission, and accordingly, the higher the communication status index of the current communication link; the higher the overall level of the signal fluctuation intensity characteristics, the stronger the signal fluctuation intensity characteristics currently uploaded by all RFID sensor tags, indicating that the event interference is serious at this time, and the response upload is frequent, the greater the probability of collision conflicts, and accordingly, the higher the communication status index of the current communication link. Therefore, the communication status index of the current communication link is positively correlated with the channel utilization rate and the overall level of the signal fluctuation intensity characteristics of the current communication link. As a specific example, a specific quantification method of the communication status index of the current communication link is given as follows: first normalize the overall level of the signal fluctuation intensity characteristics, and the normalization method can be: , where exp is an exponential function with the natural constant e as its base, and x is the object to be normalized. The product of the channel utilization of the current communication link and the overall level of the normalized signal fluctuation intensity characteristics is then calculated. The result is the communication status indicator of the current communication link.

[0038] This embodiment presets a threshold value, which is used to compare with the obtained communication status indicator to determine whether the communication status indicator is high, thereby determining whether the communication status of the current communication link has a high collision risk. The numerical range of the preset threshold value is 0-1, and the specific value is set according to the judgment needs. If the high collision risk judgment is more stringent, the preset threshold value can be set to a smaller value, such as 0.6. The communication status indicator is compared with the preset threshold value. If the communication status indicator is greater than or equal to the preset threshold value, it is determined that the communication status of the current communication link has a high collision risk and it is necessary to dynamically allocate the channel occupancy rate of each RFID sensor tag; if the communication status indicator is less than the preset threshold value, it is determined that the communication status of the current communication link does not have a high collision risk.

[0039] Step S300: If there is a high collision risk in the current communication link, the necessity of data priority transmission of each RFID sensor tag is determined according to the signal fluctuation intensity characteristics of the current data of each RFID sensor tag.

[0040] If the current communication link has a high collision risk, then the above step S1 is executed, that is, the implementation process of the data collection method of the RFID sensor tag provided by this embodiment is executed.

[0041] The necessity of prioritizing data transmission for the target RFID sensor tag is determined based on the signal fluctuation strength characteristic of the target RFID sensor tag's current data. The stronger the signal fluctuation strength characteristic, the more likely the target RFID sensor tag is to be affected by an unexpected event, resulting in greater data fluctuation. Therefore, the higher the necessity of prioritizing data transmission for the target RFID sensor tag, the more pronounced the signal fluctuation strength characteristic of the current data. Consequently, the necessity of prioritizing data transmission for the target RFID sensor tag is positively correlated with the signal fluctuation strength characteristic of the target RFID sensor tag's current data.

[0042] When an abnormal event triggers multiple RFID sensor tags to upload data, existing methods for mitigating RFID communication collision conflicts typically reduce the probability of collision by adjusting the length of the data frame uploaded by the tags or introducing a random delayed retransmission mechanism. These methods fail to consider important RFID sensor tag data and lack the ability to identify and differentiate the urgency of the uploaded data content. For multiple RFID sensor tags, some tags may carry critical environmental monitoring, equipment status, or safety alarm data. Failure to upload data in a timely manner can lead to delayed system response or ineffective risk perception. Therefore, relying solely on a general collision mitigation mechanism, which fails to provide differentiated scheduling for high-priority data transmission needs, presents significant limitations in high-density or emergency scenarios. Therefore, an adaptive scheduling strategy based on data urgency is necessary.

[0043] When an emergency occurs, the monitoring data of some RFID sensor tags may fluctuate abnormally, even affecting the overall tag sensing behavior. To more accurately identify the key tags that truly reflect the emergency, the signal fluctuation intensity characteristics of the current data of a single RFID sensor tag can be compared with those of other RFID sensor tags to assess whether a single RFID sensor tag needs to be prioritized for channel occupancy.

[0044] If the signal fluctuation intensity characteristics of the current data from all RFID sensor tags are similar, it indicates that the emergency has affected the global state, and random tag data can be uploaded. Conversely, if the signal fluctuation intensity characteristics of the data uploaded by all RFID sensor tags differ significantly, it indicates that the emergency has affected some RFID sensor data, and the data of the directly affected RFID sensor tags should be uploaded first. Based on the differences in the signal fluctuation intensity characteristics of the current data from all RFID sensor tags, a global contrast ratio of the signal intensity of the data uploaded by all RFID sensor tags is obtained. The maximum and minimum values ​​of the signal fluctuation intensity characteristics of the current data from each RFID sensor tag are obtained, and the difference between the maximum and minimum values ​​is calculated. This difference is the global contrast ratio.

[0045] When the signal fluctuation intensity feature of the target RFID sensor tag is large and has a high global contrast, it means that the data collected by the target RFID sensor tag may reflect the core features of the emergency and has a higher upload priority. According to the contrast of the signal fluctuation intensity feature of the target RFID sensor tag affected by the emergency among all RFID sensor tags, as well as the global contrast, the necessity of data priority transmission of the target RFID sensor tag is obtained. Among them, the contrast of the signal fluctuation intensity feature of the target RFID sensor tag affected by the emergency among all RFID sensor tags is calculated by calculating the difference between the signal fluctuation intensity feature of the target RFID sensor tag and the minimum value, and the difference is the contrast of the signal fluctuation intensity feature of the target RFID sensor tag affected by the emergency among all RFID sensor tags. The minimum value here is the minimum value among the signal fluctuation intensity features of the current data of each RFID sensor tag.

[0046] The ratio of the contrast ratio of the signal fluctuation intensity characteristics of the target RFID sensor tag affected by the sudden event to the global contrast ratio among all RFID sensor tags is calculated as the necessity of data priority transmission for the target RFID sensor tag. Analysis shows that this calculation process essentially performs maximum-minimum normalization on the signal fluctuation intensity characteristics of the current data of the target RFID sensor tag. Specifically, the maximum and minimum values ​​of the signal fluctuation intensity characteristics of the current data of each RFID sensor tag are obtained, and then the maximum-minimum normalization method is used to normalize the signal fluctuation intensity characteristics of the current data of the target RFID sensor tag. The obtained normalization result is used as the necessity of data priority transmission for the target RFID sensor tag.

[0047] More preferably, the communication status indicator of the current communication link can also be factored into the calculation of the necessity for prioritized data transmission for the target RFID sensor tag, so that the necessity for prioritized data transmission is also influenced by the communication status indicator of the current communication link. Then, the product of the communication status indicator of the current communication link and the signal fluctuation intensity characteristic of the target RFID sensor tag, normalized using the maximum and minimum values, is calculated; this product represents the necessity for prioritized data transmission for the target RFID sensor tag.

[0048] Step S2: Obtaining the data importance of each RFID sensor tag based on the increasing trend of the signal fluctuation intensity of each RFID sensor tag.

[0049] If the emergency first affects the target RFID sensor tag, the data information uploaded by the target RFID sensor tag will gradually increase in the recent communication data. By analyzing the changes in the signal fluctuation intensity characteristics of the recently uploaded data of the target RFID sensor tag, the increasing trend of the signal fluctuation intensity of the target RFID sensor tag can be analyzed.

[0050] Determine the neighborhood of the target RFID sensor tag's current data. The neighborhood of the current data is the most recent uploaded historical data before the current data. The number of historical data included in the neighborhood is set based on the actual situation, for example, 5, which refers to the five data frames uploaded closest to the current data.

[0051] The increasing trend of the signal fluctuation intensity of the target RFID sensor tag represents the increasing trend of the signal fluctuation intensity characteristics of each historical data within the neighborhood of the current data of the target RFID sensor tag. The process of obtaining the increasing trend of the signal fluctuation intensity of the target RFID sensor tag is as follows: each historical data within the neighborhood of the current data of the target RFID sensor tag is arranged in time sequence, and the difference in the signal fluctuation intensity characteristics between the latter and the previous historical data of two adjacent historical data within the neighborhood of the current data of the target RFID sensor tag is calculated to obtain a number of signal fluctuation intensity characteristic differences, and then the average of these signal fluctuation intensity characteristic differences is calculated. The result obtained is the increasing trend of the signal fluctuation intensity, and the calculation formula is as follows: ; in, Indicates the The signal fluctuation intensity of each RFID sensor tag increases; Indicates the The number of historical data within the neighborhood of each RFID sensor tag; Indicates the The current data of the RFID sensor tag is within the neighborhood of the Signal fluctuation intensity characteristics of historical data; Indicates the The current data of the RFID sensor tag is within the neighborhood of the The signal fluctuation intensity characteristics of historical data.

[0052] In principle, since the magnitude of the signal fluctuation intensity characteristic of the latter historical data is not fixed compared to the signal fluctuation intensity characteristic of the previous historical data, the difference between the two signal fluctuation intensity characteristics may be positive, 0, or negative. Therefore, the increasing trend of the signal fluctuation intensity of the target RFID sensor tag may be positive, 0, or negative. If it is a positive value, it indicates that the signal fluctuation intensity of the target RFID sensor tag is increasing, and the larger the value, the more obvious the increasing trend of the signal fluctuation intensity. If it is 0, it indicates that the signal fluctuation intensity of the target RFID sensor tag is in a stable state. If it is a negative value, it indicates that the signal fluctuation intensity of the target RFID sensor tag is decreasing. Therefore, regardless of whether the increasing trend of the signal fluctuation intensity of the target RFID sensor tag is positive, 0, or negative, the following is true: the larger the value of the increasing trend of the signal fluctuation intensity of the target RFID sensor tag, the more obvious the increasing trend of the signal fluctuation intensity of the target RFID sensor tag.

[0053] The more obvious the increasing trend of the target RFID sensor tag's signal fluctuation intensity, that is, the stronger the increasing trend of the target RFID sensor tag's signal fluctuation intensity characteristic, the more the target RFID sensor tag is affected by the sudden event, the higher the data importance of the target RFID sensor tag, and the higher the transmission priority. Therefore, the data importance of the target RFID sensor tag is obtained from the increasing trend of the target RFID sensor tag's signal fluctuation intensity, and the data importance is positively correlated with the increasing trend of the signal fluctuation intensity. In an exemplary embodiment, the maximum and minimum values ​​of the increasing trend of the signal fluctuation intensity of each RFID sensor tag are obtained, and then the maximum and minimum value normalization method is used to normalize the increasing trend of the signal fluctuation intensity of the target RFID sensor tag. The normalized result is the data importance of the target RFID sensor tag. In this way, the data importance of each RFID sensor tag is obtained.

[0054] Step S3: determining the channel occupancy rate of each RFID sensor tag, where the channel occupancy rate is obtained from the necessity of data priority transmission and the importance of the data.

[0055] Through steps S1 and S2, the necessity of data priority transmission and the importance of data of each RFID sensor tag are obtained, and the channel occupancy rate of each RFID sensor tag is obtained by integrating these two aspects of data information. In an exemplary embodiment, Figure 6 As shown, a specific process of obtaining the channel occupancy rate is given as follows: Step S3-1: Calculate the product of the data priority transmission necessity and the data importance of each RFID sensor tag to obtain the channel occupancy rate characteristics of each RFID sensor tag.

[0056] For the target RFID sensor tag, the product of the target RFID sensor tag's data priority transmission necessity and data importance is calculated. This product is the target RFID sensor tag's channel occupancy characteristic. The channel occupancy characteristic can be characterized as the urgency of data upload for the target RFID sensor tag. The higher the data priority transmission necessity, the higher the data importance, and the higher the data upload urgency, the more important it is to prioritize uploading the target RFID sensor tag's sensor data.

[0057] Step S3-2: The ratio of the channel occupancy rate characteristic of each RFID sensor tag to the sum of the channel occupancy rate characteristics is used as the channel occupancy rate of each RFID sensor tag.

[0058] The higher the channel occupancy rate of an RFID sensor tag, that is, the higher the urgency of data upload for the RFID sensor tag, generally means that the sensor data it monitors is more likely to reflect emergencies or critical state changes, and has a higher value for the system's real-time perception and response decisions. Therefore, for RFID sensor tags with higher channel occupancy rates, that is, RFID sensor tags with higher data upload urgency, the system should increase their chances of occupying the upload channel to ensure that critical data is transmitted first. This effectively improves the transmission success rate of critical data and reduces the response delay of high-priority data without changing the overall communication structure, thereby achieving rapid upload and collection of data from multiple RFID sensor tags during emergencies.

[0059] The higher the channel occupancy rate characteristic of an RFID sensor tag, the more important it is to ensure that its sensor data is transmitted first and to increase the weight allocated to its upload channel. Therefore, the ratio of each RFID sensor tag's channel occupancy rate characteristic to the sum of its channel occupancy rate characteristics is used as the channel occupancy rate of each RFID sensor tag. The sum of the channel occupancy rate characteristics is the sum of the channel occupancy rate characteristics of each RFID sensor tag. In this way, RFID sensor tags with higher data upload urgency are allocated higher channel occupancy rates, ensuring that their sensor data can be transmitted first and reliably, effectively improving the data transmission success rate and reducing data response delays.

[0060] After determining the channel occupancy rate of each RFID sensor tag, a channel is allocated to each RFID sensor tag based on its channel occupancy rate. The actual channel bandwidth of each RFID sensor tag is calculated by multiplying the channel occupancy rate of each RFID sensor tag by the total bandwidth of the communication link. In the subsequent communication cycle, the actual channel bandwidth of each RFID sensor tag is used as input to schedule each RFID sensor tag, allocating the corresponding actual channel bandwidth to each RFID sensor tag to complete data upload. Channel resources are preferentially allocated to tags with high channel occupancy rates (i.e., high priority), achieving differentiated upload control. This prioritizes the data upload needs of high-priority RFID sensor tags while preventing data from RFID sensor tags with low channel occupancy rates from occupying valuable communication resources, thereby improving overall network bandwidth utilization and effective data transmission rates.

[0061] This embodiment further provides a data acquisition system for an RFID sensor tag, comprising: a memory and a processor; the memory is connected to the processor, and the memory is used to store program instructions; the processor is used to implement the steps in the above-mentioned embodiment of the data acquisition method for the RFID sensor tag when the program instructions are executed.

[0062] In an exemplary embodiment, the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned data collection method embodiment of the RFID sensor tag are implemented.

[0063] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0064] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A data collection method for an RFID sensor tag, characterized in that: include: Determining the necessity of data priority transmission for each RFID sensor tag based on the signal fluctuation strength characteristics of the current data of each RFID sensor tag; The data importance of each RFID sensor tag is obtained from the increasing trend of the signal fluctuation strength of each RFID sensor tag, wherein the increasing trend of the signal fluctuation strength represents the increasing trend of the signal fluctuation strength characteristics of each historical data within the neighborhood of the current data; The channel occupancy rate of each RFID sensor tag is determined, where the channel occupancy rate is obtained from the necessity of data priority transmission and the importance of the data.

2. The data collection method of an RFID sensor tag according to claim 1, wherein: The process of acquiring the signal fluctuation intensity feature includes: Get the mean of the signal amplitude difference of the current data and the signal amplitude variance of the current data; According to the signal amplitude difference mean and signal amplitude variance of the current data, a signal fluctuation intensity feature of the current data is obtained; the signal fluctuation intensity feature is positively correlated with the signal amplitude difference mean and signal amplitude variance.

3. The data collection method of an RFID sensor tag according to claim 2, wherein: The necessity of data priority transmission of each RFID sensor tag is obtained by normalizing the maximum and minimum values ​​of the signal fluctuation intensity characteristics of the current data of each RFID sensor tag.

4. The data collection method of an RFID sensor tag according to claim 1, wherein: Before determining the necessity of prioritizing data transmission of each RFID sensor tag based on the signal fluctuation intensity characteristics of the current data of each RFID sensor tag, the data collection method of the RFID sensor tag further includes: Determining the channel utilization of the current communication link and the overall level of the signal fluctuation strength characteristic; the overall level of the signal fluctuation strength characteristic is the average value of the signal fluctuation strength characteristics of the current data of each RFID sensor tag; determining whether a communication state of the current communication link has a high collision risk based on the overall level of the channel utilization and signal fluctuation intensity characteristics of the current communication link; If there is a high collision risk in the current communication link, the necessity of prioritizing data transmission of each RFID sensor tag is determined based on the signal fluctuation intensity characteristics of the current data of each RFID sensor tag.

5. The data collection method of an RFID sensor tag according to claim 4, wherein: The process of determining whether the communication state of the current communication link has a high collision risk includes: According to the overall level of the channel utilization and signal fluctuation intensity characteristics of the current communication link, the communication status index of the current communication link is obtained; The communication state indicator is compared with a preset threshold value. If the communication state indicator is greater than or equal to the preset threshold value, it is determined that the communication state of the current communication link has a high collision risk.

6. The data collection method of an RFID sensor tag according to claim 1, wherein: The process of obtaining the increasing trend of the signal fluctuation intensity includes: Determine the signal fluctuation intensity characteristic difference between the latter historical data and the former historical data in the adjacent two historical data within the neighborhood range, calculate the average value of the signal fluctuation intensity characteristic difference within the neighborhood range, and obtain the signal fluctuation intensity increasing trend.

7. The data collection method of an RFID sensor tag according to claim 6, wherein: The data importance of each RFID sensor tag is obtained by normalizing the maximum and minimum values ​​of the increasing trend of the signal fluctuation intensity of each RFID sensor tag.

8. The data collection method of an RFID sensor tag according to claim 1, wherein: The process of obtaining the channel occupancy rate includes: Calculating the product of the data priority transmission necessity and the data importance of each RFID sensor tag to obtain a channel occupancy characteristic of each RFID sensor tag; The ratio of the channel occupancy rate feature of each RFID sensor tag to the sum of the channel occupancy rate features is used as the channel occupancy rate of each RFID sensor tag; the sum of the channel occupancy rate features is the sum of the channel occupancy rate features of each RFID sensor tag.

9. The data collection method of an RFID sensor tag according to claim 1, wherein: After determining the channel occupancy rate of each RFID sensor tag, the data collection method of the RFID sensor tag further includes: According to the channel occupancy rate of each RFID sensor tag, a channel is allocated to each RFID sensor tag to complete data uploading of each RFID sensor tag.

10. A data acquisition system for an RFID sensor tag, characterized in that: include: Memory and processor; The memory is connected to the processor; The memory is used to store program instructions; The processor is configured to implement the data collection method for the RFID sensor tag according to any one of claims 1 to 9 when the program instructions are executed.

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