A Digital Identification Method for Hydraulic Single-Pole Struts Based on RFID

Abstract

This invention discloses a digital identification method for hydraulic single-unit props based on RFID. First, cluster analysis is performed based on sensor data to spatially divide the actual application environment. Then, environmental interference errors in the reading space during the reader's movement are analyzed based on the collected RFID tag data. Finally, the reading state corresponding to the time interval after movement is predicted, and the reader parameters are adjusted according to the predicted reading state to achieve adaptive reading parameters. This improves the reader's adaptability to complex and changing application environments and enables data collaboration between sensor data and RFID tag data. The sensor data is used to fully analyze the environmental scenario where the RFID tags are located. Different spatial areas correspond to different environmental scenarios, resulting in different reader reading efficiencies. When the reader moves to read multiple RFID tags, the reading efficiency is improved by adjusting the reader parameters.

Description

Technical Field

[0001] This invention relates to the field of identity recognition technology, and specifically to a digital identity recognition method for hydraulic single-unit props based on RFID. Background Technology

[0002] A single hydraulic prop consists of a cylinder, piston, and valve, and is mainly used for roof support in coal mine longwall faces and integrated longwall face support. Due to the large quantity, frequent turnover, and dispersed locations of single hydraulic props, strict management is crucial to ensure the good performance of each prop. Current technology combines RFID (Radio Frequency Identification) and computer technology to achieve intelligent tracking and management of single hydraulic props, collecting data on usage time, location, and maintenance status in real time. RFID technology uses contactless wireless communication, employing a reader to operate RFID tags within its range and read the dynamic usage information of the single hydraulic prop on the tags. However… Because RFID tags encapsulate coupling elements, chips, and antennas, in harsh environments such as coal mines with humid air, strong corrosion, and severe electromagnetic interference, when readers dynamically read the RFID tags of multiple individual hydraulic props in the mine, they are affected by the complex changes in the actual environmental scene. This leads to increased signal interference, uncertain spatial environmental errors, and problems such as corrosion, bending, and wear of RFID tags, resulting in reading and writing difficulties. In order to improve the efficiency of individual hydraulic prop identification in complex environments, accelerate the speed of information transmission, exchange, and processing, realize efficient automated management of individual hydraulic props, and intelligently track and manage the usage of individual hydraulic props, this invention proposes an RFID-based digital identification method for individual hydraulic props. Summary of the Invention

[0003] To address the aforementioned problems, specifically those mentioned in the background section, this invention provides an RFID-based digital identification method for hydraulic single-unit supports. First, cluster analysis is performed based on sensor data to spatially divide the actual application environment. Then, environmental interference errors in the reading space during the reader's movement are analyzed based on the collected RFID tag data. Finally, the reading state corresponding to the time interval after movement is predicted, and the reader's parameters are adjusted according to the predicted reading state to achieve adaptive reading parameters. This improves the reader's adaptability to complex and changing application environments and enables data collaboration between sensor data and RFID tag data. The sensor data is used to fully analyze the environmental environment of the RFID tags. Different spatial areas correspond to different environmental scenarios, resulting in varying reader reading efficiencies. When the reader moves to read multiple RFID tags, adjusting the reader's parameters improves the efficiency of RFID reading.

[0004] This invention proposes a digital identification method for hydraulic single-unit props based on RFID. By combining data collected from environmental scenes by sensors, the identification process based on RFID data is adaptively optimized. The specific analysis process is as follows:

[0005] Step 1: Collect sensor data from the environment where the RFID tag is located using sensors on the hydraulic single support.

[0006] Step 2: Analyze the environmental complexity of the RFID tag's environment using sensor data. The reading signal transmission error of the RFID tag varies under different environmental conditions. Based on the sensor data and different environmental complexities, cluster the space where the RFID tag is located to obtain different spatial regions.

[0007] Step 3: The reader moves to read RFID tag data in the actual application environment to obtain the identity data of the hydraulic single support. The reading environment is constantly changing. Based on the reading process of the spatial area where the RFID tag is located and the sensor data, the environmental interference corresponding to the spatial area is analyzed to obtain the environmental interference error.

[0008] Step 4: Correct the reading process of RFID tag data in the next time interval by using environmental interference errors, and estimate the number and orientation of RFID tags in the spatial area by using sensor data.

[0009] Step 5: During the movement of the reader, the current reading status is obtained by dynamically analyzing the reading status in combination with the reading parameters of the reader. Then, the reading status of the next time interval during the movement of the reader is predicted based on the current reading status. Finally, the reading parameters of the reader are adaptively adjusted according to the predicted reading status of the reader and the number and attitude of RFID in the spatial area.

[0010] Specifically, in step two, multiple different types of sensors are installed on the hydraulic single prop. Each set of sensors is designated as a sensor node. All sensor nodes on the single hydraulic prop form a sensor node network. The point cloud distribution of sensor data is obtained through this network, and feature parameters of the sensor nodes at different acquisition times are extracted to obtain corresponding feature vectors. , This refers to the label of the sensor node. This refers to the sensor's data acquisition time. This represents the number of sensors in a sensor node. Different sensors correspond to different data metrics, and these data metrics correspond to elements in the feature vector. The environmental complexity of the hydraulic monopole is calculated based on sensor data. Then, based on the environmental complexity of the sensor data, a corresponding spatial clustering algorithm is selected, and the spatial clustering algorithm is used to cluster the feature vectors of all sensor nodes to obtain node combinations of different sensor nodes. Different node combinations correspond to different spatial regions, and the horizontal area of ​​different spatial regions is denoted as... ,in The index number of the spatial region. The number of spatial regions within the space read by the reader.

[0011] Specifically, in step three, the mobile reader moves within the actual application scenario of the hydraulic monopole to read the identity information carried by the RFID tag. The impact of the initial RFID tag data collection on environmental interference errors is evaluated, with the data packet detection delay rate used as the environmental interference error. Based on the relevant parameters, calculate the delay rate for RFID tag signal transmission data packet detection. The analysis formula is as follows:

[0012]

[0013] The phase difference of the carrier frequency offset, the sampling frequency offset and packet detection latency , The impact of various environmental interferences during the initial acquisition process of the reader is analyzed to obtain the data packet detection latency rate corresponding to the reading space. Based on the analysis results from step two, the initial acquisition and reading space is divided into a set of spatial regions. , The number of spatial regions. The time interval for the reader to collect data. For the reading time of the reader, establish the distribution parameters of the spatial region and Correspondence formula .

[0014] Specifically, in step four, the sensor data is converted into point cloud data corresponding to the sensor node network for data analysis. The sensor nodes and hydraulic unit supports are in one-to-one correspondence. The number of hydraulic unit supports and RFID tags is determined by calculating the number of sensor nodes in the spatial area. The transmission direction of the sensor's transmission signal is determined by analyzing the transmission characteristics of the sensor's sensing signal during the sensor acquisition process. The positions of the sensors on the hydraulic unit supports are compared with the positions of the RFID tags, and the orientation of the RFID tags is determined by analyzing the sensor data.

[0015] Specifically, in step five, the reader uses... The reader reads data from RFID tags in the actual environment by moving at a certain speed. It transmits a reading signal in the reading space, which couples with the radio frequency signal of the RFID tag to achieve data reading. The reader's current reading state is recorded as... , Given a state vector, a dynamic analysis equation is established for the reader to read RFID tag data. At different reading times, the set of spatial regions corresponding to the reading space is different. As the reading time changes, the distribution parameters of the spatial region change, and the corresponding environmental interference error also changes.

[0016] Specifically, the reading space between the current time interval and the next time interval is spatially converted according to the movement speed. The change in volume of the reading space is determined, and then the transformation matrix of the spatial region is determined by combining the analysis of sensor data. The reader reads from the time gap. Move to and When, the transformation matrix is ,

[0017]

[0018] Between the various elements ,in , Combining the spatial region distribution parameters established in step three with Correspondence formula Determine the spatial region after the transfer As spatial regions shift, the environmental interference error caused by changes in the spatial region set is calculated, and this environmental interference error is utilized. Error correction is performed on the data at the next reading time. Environmental interference errors are related to the composition of the spatial region.

[0019] Specifically, the reader's moving speed is recorded as... The range of the reader's reading area is fixed. As the reader moves, its reading area corresponds to different spatial regions, and the reader's optimal reading parameters change. and When the time intervals are adjacent, and there is overlap between the reading spaces of the readers in the two time intervals, The reading space corresponding to the reader within the time gap The sum of the overlapping read space and the newly added read space is denoted as . Calculate the environmental interference error of the newly added read space and the overlapping read space separately, and then calculate the average of the two, which is recorded as the read space when overlapping read space exists. Environmental interference errors.

[0020] Specifically, the reading parameters in the current reading state include the relative angle between the spatial region and the reader, the moving speed, the reading angle, and the reading signal strength. Environmental interference errors correspond to the composition of the spatial region, and are determined based on the current reading state. Predict the read state at each read time to obtain the state vector for the corresponding time interval. ,when The prediction is made between consecutive time intervals to determine whether there are overlapping parts of the read space.

[0021]

[0022] Predicting the read state in the next moment using the reader The reading parameters of the reader are dynamically adjusted, and the sensors include pressure sensors, humidity sensors, and temperature sensors.

[0023] The beneficial effects of this invention are as follows:

[0024] 1. In this invention, the environmental scene of a single hydraulic prop is analyzed by sensor data, and then digital identity recognition is performed on the RFID tag data corresponding to the single hydraulic prop. This achieves data collaboration between sensor data and RFID tag data. First, the sensor set on each single hydraulic prop is recorded as a sensor node, and the sensor node network is recorded as a data whole. The environmental scene of the single hydraulic prop is classified by cluster analysis of sensor data to obtain different spatial regions. During the reading of RFID tags in the same spatial region, the environmental error has the same impact on signal transmission.

[0025] 2. In this invention, the reading space of the mobile reader is consistent. However, due to the complex and variable environment in actual underground applications such as coal mines, the signal transmission during RFID data reading is affected. The reading space after the reader moves is a complex environment. In order to improve the reading efficiency of the reader, this application uses the current reading state to predict the reading state corresponding to the time gap when the RFID tag is not read. The reading parameters of the reader are then adjusted according to the predicted reading state to achieve the correspondence and optimization of the reading parameters with the environmental scenario.

[0026] 3. In this invention, during the dynamic reading process of the reader, the reading signal strength corresponding to the reading space is a constant value. As the reader moves, the composition of the spatial region corresponding to the reading space changes, and the overall impact on signal transmission also changes. A correspondence is established between the collected data packet delay rate of the reading space and the composition of the spatial region. When the composition of the spatial region of the reading space changes, the predicted data packet delay rate is obtained. Then, the predicted environmental interference error of the reading space is obtained through the predicted data packet delay rate. The environmental interference error is used to verify the error of the reading signal transmission, so as to improve the reading efficiency of the reader. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating the overall method of the present invention;

[0028] Figure 2 This is a flowchart illustrating the sensor data analysis process in this invention.

[0029] Figure 3 This is a flowchart illustrating the analysis of environmental interference errors in this invention. Detailed Implementation

[0030] The following is a reference to the appendix. Figure 1 To be continued Figure 3 The preferred embodiments of the present invention will be described below. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0031] With the development of digital identity recognition, barcodes, magnetic cards, and other technologies have been widely used in finance, telecommunications, services, and daily consumption. Similarly, in the intelligent tracking and management of single hydraulic supports, RFID-based contactless technology combines radio frequency identification, magnetoelectric technology, and computer technology, overcoming many shortcomings of contact cards. It uses contactless wireless communication, allowing the reader to operate the card within range. However, because the RFID card encapsulates the chip and induction antenna inside, it is easily deformed due to temperature changes, has a narrow operating temperature range, and poor resistance to bending. Even slight wear on the card surface can easily damage the chip and antenna inside, leading to reading and writing difficulties. Therefore, in the complex and harsh environment of coal mines, such as humid air, strong corrosiveness, and severe electromagnetic interference, RFID-based digital identity recognition systems have certain identification defects.

[0032] When multiple RFID tags are identified simultaneously, the collision, signal protocol, and transmission distance between different tags are analyzed, and the digital identification process of different RFID tags is dynamically monitored.

[0033] The hydraulic unit prop is affixed with an RFID tag. The tag contains coupling components and chips for identification. The tag records the usage information of each hydraulic unit prop. The data content of the data tag on the hydraulic unit prop is obtained through the RFID system, and the data is acquired and transmitted.

[0034] RFID (Working Principle): Radio frequency identification technology is a non-contact automatic identification technology that uses radio frequency communication. It is a radio-based information identification technology. RFID technology has multiple functions. When it is close to an RFID reader, it can read multiple tags at the same time, and RFID tags can contain more information. Video recognition technology can be combined with the Internet and electronic communication technology.

[0035] Tags: Composed of coupling elements and chips, each electronic tag has one and only one electronic code attached to a target object to identify target information, serving as a data carrier and transponder. Features include small size, long lifespan, reusability, fast read and write, non-visual and mobile identification, multi-target identification, positioning, long-term tracking and management, and a unique ID identifier.

[0036] Reader: A device used to read and write information data. It is a bridge between electronic tags and management systems. The reader may be affected by factors such as frequency, antenna gain, reader orientation, transponder antenna and position. Radio frequency signals interact with the corresponding electronic tags to identify and read the corresponding data content.

[0037] Antenna: Used to transmit signals between the tag and the reader;

[0038] The reader transmits high-frequency signal energy into space through an antenna in the form of electromagnetic radiation, and receives electromagnetic energy when the antenna of the electronic tag enters space.

[0039] RFID technology uses multiple frequency bands to achieve data communication, enabling the identification of electronic tags and the reading and writing of their data. Because it uses a non-contact communication method, employing electromagnetic waves as the transmission medium and free space as the transmission channel, it generally utilizes the principles of inductive coupling or backscattering. The specific frequency band and principle used depend on the application requirements and field. When electromagnetic waves propagate through space, reflection, refraction, scattering, and absorption cause signal attenuation due to losses. Multipath effects also introduce time delays. Furthermore, the highly random nature of indoor and outdoor environments makes it difficult to analyze data transmission interference under fixed conditions. Additionally, the openness of space allows various existing electromagnetic signals to interfere with the spatial transmission channel. In RFID systems, due to the large number of tags… With numerous tags, the response signals from different tags interfere with each other after the reader sends a signal. Theoretically, the larger the RFID system, the more complex and prominent the interference problem becomes. For these reasons, various faults such as missed reads and inability to identify tags occur during data transmission, leading to longer tag identification times and reduced system efficiency. To improve identification speed, RFID systems have introduced more intelligent and adaptive technologies, such as automatically adjusting signal strength and optimizing antenna direction, to cope with complex and changing environmental factors and improve system reliability and stability. This invention proposes an RFID-based digital identity recognition method for hydraulic single-pillar supports. By combining data collected from environmental scenes by sensors, the RFID data-based identity recognition process is adaptively optimized. The specific analysis process is as follows:

[0040] Step 1: Collect sensor data from the environment where the RFID tag is located using sensors on the hydraulic monocoque support. RFID tags are passive or active devices on the object being identified, containing information about the object. Passive tags provide power and response by receiving signals sent by the reader, while active tags use their own power to send response signals. The reader is responsible for communicating with the tag and retrieving the information stored in the tag. The backend database stores and manages the data related to the tag, automatically identifying target objects using radio waves and retrieving data from them. Each RFID tag has a unique ID.

[0041] Step 2: Analyze the environmental complexity of the RFID tag's environment using sensor data. The reading signal transmission error of the RFID tag varies under different environmental conditions. Based on the sensor data and different environmental complexities, cluster the space where the RFID tag is located to obtain different spatial regions.

[0042] Step 3: The reader moves to read RFID tag data in the actual application environment to obtain the identity data of the hydraulic single support. The reading environment is constantly changing. Based on the reading process of the spatial area where the RFID tag is located and the sensor data, the environmental interference corresponding to the spatial area is analyzed to obtain the environmental interference error.

[0043] In an environmental scenario, the transmission process of RFID signals is analyzed based on the generated data. The environmental errors obtained are concatenated with the space. As the spatial matrix is ​​transformed, the impact on the reading process in the next time interval is also certain.

[0044] Step 4: Correct the reading process of RFID tag data in the next time interval by using environmental interference errors, and estimate the number and orientation of RFID tags in the spatial area by using sensor data.

[0045] The efficiency of tag reading decreases as the number of tags increases. By using tag arrays in spatial areas within different environmental scenarios and based on the information collected by sensors, an approximate number of tags can be obtained.

[0046] Step 5: During the movement of the reader, the current reading status is obtained by dynamically analyzing the reading status in combination with the reading parameters of the reader. Then, the reading status of the next time interval during the movement of the reader is predicted based on the current reading status. Finally, the reading parameters of the reader are adaptively adjusted based on the predicted reading status of the reader and the number and attitude of RFID in the spatial area.

[0047] The system dynamically identifies and analyzes RFID data collected by the reader, analyzes the pose and relative position of the hydraulic single support under environmental interference, establishes the state equation for dynamic acquisition by the reader, analyzes and calculates the reading efficiency of the reader in the newly added reading space corresponding to different time slots during the reading state of different time slots, calculates the boundary of dynamic coupling analysis of space and time, calculates the migration error of space transformation, adjusts the dynamic switching algorithm for different actual application scenarios based on the analysis results, automatically adjusts the signal strength and optimizes the antenna direction according to the changes in the actual scenario, and adapts to complex environmental scenarios.

[0048] When working underground, individual hydraulic supports are dispersed in different locations and environments. RFID tags and sensors are integrated into these supports. RFID radio frequency technology and sensors are used to collect information from each support. The identification information encapsulated in the RFID tags and the sensor data are fused and analyzed collaboratively to achieve identification and management of the individual hydraulic supports. Different types of sensors are installed on each support, forming a sensor set corresponding to its location. Each sensor set is denoted as a sensor node. All sensor nodes on the individual hydraulic supports underground form a sensor node network. The spatial location of each hydraulic support is analyzed based on this network. Feature parameters from the sensor node data are extracted to obtain corresponding feature vectors. Different spatial regions correspond to different environmental complexities. Based on these feature vectors, different node combinations are obtained. Individual hydraulic supports with different node combinations are located in different positions within a three-dimensional space. These node combinations divide the three-dimensional space into different spatial regions.

[0049] In step two, multiple different types of sensors are installed on the hydraulic single prop. Each set of sensors is designated as a sensor node. All sensor nodes on the single hydraulic prop form a sensor node network. The point cloud distribution of sensor data is obtained through this network, and feature parameters are extracted from the data collected at different times to obtain the corresponding feature vectors. , This refers to the label of the sensor node. This refers to the sensor's data acquisition time. This represents the number of sensors in a sensor node. Different sensors correspond to different data metrics, and these data metrics correspond to elements in the feature vector. The environmental complexity of the hydraulic monopole is calculated based on sensor data. Then, based on the environmental complexity of the sensor data, a corresponding spatial clustering algorithm is selected, and the spatial clustering algorithm is used to cluster the feature vectors of all sensor nodes to obtain node combinations of different sensor nodes. Different node combinations correspond to different spatial regions, and the horizontal area of ​​different spatial regions is denoted as... ,in The index number of the spatial region. The number of spatial regions within the space read by the reader.

[0050] The spatial region is obtained through clustering, therefore the environmental scenarios of the RFID tags are similar. The influence of the environmental scenario of a single hydraulic prop on the tag signal is constant. Within the spatial region, assuming consistency between the RFID tag antenna and the signal, the signal transmission error caused by the environment of the single hydraulic prop remains consistent. Within a spatial region, the horizontal plane area is... The set of spatial regions corresponding to the reader's reading space is The set of planar area distributions of the corresponding spatial regions is denoted as ,

[0051]

[0052] Weight-based distance calculation methods This indicates the impact of different environmental disturbances. The similarity between the training and testing curves is represented by the following weights.

[0053]

[0054] in It is Euclidean distance. It is the first The first type of liquid The first measurement Phase value of each tag, It is the nth label phase value of the test curve. Represented as the first Liquid relative to RFID tags The variance of the Euclidean distance;

[0055] In step three, the mobile reader moves within the actual application scenario of the hydraulic monopole to read the identity information carried by the RFID tags. The impact of the initial RFID tag data collection on environmental interference errors is evaluated, with the data packet detection delay rate used as the environmental interference error. Based on the relevant parameters, calculate the delay rate for RFID tag signal transmission data packet detection. The analysis formula is as follows:

[0056]

[0057] The phase difference of the carrier frequency offset, the sampling frequency offset and packet detection latency , The impact of various environmental interferences during the initial acquisition process of the reader is analyzed to obtain the data packet detection latency rate corresponding to the reading space. Based on the analysis results from step two, the initial acquisition and reading space is divided into a set of spatial regions. , The number of spatial regions. The time interval for the reader to collect data. For the reading time of the reader, establish the distribution parameters of the spatial region and Correspondence formula .

[0058]

[0059] The reader sends radio frequency energy—the RFID tag enters the reader's reading range—the RFID tag receives energy and is activated—the RFID tag sends encoded information—the reader receives the encoded information—the reader decodes the information—and transmits the data to the application program; based on the digital identity data of the individual hydraulic prop collected by the tag array, preprocessing and detection are performed, and finally, corresponding features of the spatial region are extracted and fed into a multimodal convolutional neural network to achieve spatial region recognition.

[0060]

[0061] It's the transmission power. It is the loss of backscatter transmission. It is the distance between the reading antenna and the tag antenna. and These are the gains of the reading antenna and the tag antenna, respectively.

[0062] In step four, the sensor data is converted into point cloud data corresponding to the sensor node network for data analysis. There is a one-to-one correspondence between the sensor nodes and the hydraulic unit support. The number of hydraulic unit supports and RFID tags is determined by calculating the number of sensor nodes in the spatial area. The transmission direction of the sensor signal is determined by the transmission characteristics of the sensing signal during the sensor acquisition process. The positions of the sensors on the hydraulic unit support are compared with the positions of the RFID tags, and the orientation of the RFID tags is determined by analyzing the sensor data.

[0063] In step five, the reader uses The reader reads data from RFID tags in the actual environment by moving at a certain speed. It transmits a reading signal in the reading space, which couples with the radio frequency signal of the RFID tag to achieve data reading. The reader's current reading state is recorded as... , Given a state vector, a dynamic analysis equation is established for the reader to read RFID tag data. At different reading times, the set of spatial regions corresponding to the reading space is different. As the reading time changes, the distribution parameters of the spatial region change, and the corresponding environmental interference error also changes.

[0064] The identification data of individual hydraulic props is analyzed based on RFID tag data. The process of the reader reading tag information within the reading space is random, resulting in inconsistent data collection. As the reader moves, the relative positions of the RFID tags of the individual hydraulic props within the dynamically changing reading space change. The specific steps are as follows:

[0065] S1. Extract tag response information to obtain the first sequence of RFID tags during the movement process;

[0066] S2. Perform data preprocessing and signal transmission error detection on the first sequence of RFID tag information, where m represents the RFID signal acquisition index and n represents the number of tags, including collision detection, phase detection, received signal strength, and signal offset.

[0067]

[0068] S3. Analyze the reflected signals of different RFID tags, extract features from the data information of the first array within the newly added reading range, and classify the RFID signals to obtain the corresponding RFID tag combinations.

[0069] S4. Based on the number of RFID tag combinations of sensor node combinations obtained by the sensor, compare the number of nodes in the sensor node combination with the number of RFID tags. If the number of nodes in the sensor node combination is less than or equal to the number of RFID tags, supplement the elements of the first sequence to obtain the second detection sequence.

[0070] The current time interval and the next time interval are read from different spaces, and the reading space is converted according to the movement speed. The change in volume of the reading space is determined, and then the transformation matrix of the spatial region is determined by combining the analysis of sensor data. The reader reads from the time gap. Move to and When, the transformation matrix is ,

[0071]

[0072] Between the various elements ,in , Combining the spatial region distribution parameters established in step three with Correspondence formula Determine the spatial region after the transfer As spatial regions shift, the environmental interference error caused by changes in the spatial region set is calculated, and this environmental interference error is utilized. Error correction is applied to the data at the next reading time. Environmental interference errors are related to the composition of the spatial region; when The relationship between spatial region and environmental interference error during the time interval corresponding to the initial acquisition process is as follows: As the reader moves, the spatial area shifts, and the corresponding environmental interference error changes.

[0073] When there is an overlapping spatial region between two time gaps, the moving reader reads the sensing information of the RFID tag and acquires the first read tag. After a time gap, the newly added reading area becomes an overlapping reading space, and the corresponding spatial region matrix changes. The reading process from the second read tag to the (N-1)th read tag is related to the change matrix H. The dynamic process in the newly added reading space is coupled with the dynamic changes in the sensor data acquisition environment. The dynamic coupling boundary value is calculated, and the signal recognition process of the RFID tag in the area is analyzed at the corresponding boundary value. Combined with the distance and attenuation law, the reading efficiency of the RFID tag sequence is calculated.

[0074] The moving speed of the reader is denoted as... The range of the reader's reading area is fixed. As the reader moves, its reading area corresponds to different spatial regions, and the reader's optimal reading parameters change. and When the time intervals are adjacent, and there is overlap between the reading spaces of the readers in the two time intervals, The reading space corresponding to the reader within the time gap The sum of the overlapping read space and the newly added read space is denoted as . Calculate the environmental interference error of the newly added read space and the overlapping read space separately, and then calculate the average of the two, which is recorded as the read space when overlapping read space exists. Environmental interference errors.

[0075] Within the same spatial region, tag collision points are analyzed. The response of each tag is independent. When the reader reads the working single hydraulic support, the transmission signals between different tags collide with each other. In the layer The probability that each label is assigned to the same group follows a quadratic distribution.

[0076]

[0077] in, This represents the probability of selecting one of the groups. If no label is selected, the probability that the group is empty is:

[0078]

[0079] If only one label is selected, the probability that the group will be successfully identified is:

[0080]

[0081] If more than one label is selected, the probability of a label collision in that group is:

[0082]

[0083] Assume the first The total number of time slots in the layer is used express:

[0084]

[0085] in, Indicates the number of idle time slots, when the first... The layer will only be in the first position if the feature values ​​of the layer collide and at least one set has only one label selected. The layer has an idle time slot;

[0086]

[0087] This indicates the number of collision time slots.

[0088] The current reading parameters include the relative angle between the spatial region and the reader, the moving speed, the reading angle, and the reading signal strength. Environmental interference errors correspond to the composition of the spatial region. The reading parameters are adjusted according to the current reading state. Predict the read state at each read time to obtain the state vector for the corresponding time interval. ,when The prediction is made between consecutive time intervals to determine whether there are overlapping parts of the read space.

[0089]

[0090] Predicting the read state in the next moment using the reader The reading parameters of the reader are dynamically adjusted, and the sensors include pressure sensors, humidity sensors, and temperature sensors.

[0091] In practical application, this invention first collects sensor data from the environment where the RFID tags are located using sensors on the hydraulic monocoque support. Then, the environmental complexity of the RFID tag's environment is analyzed using this sensor data. The transmission error of the RFID tag's reading signal varies under different environmental conditions. Based on the sensor data and different environmental complexities, the spaces where the RFID tags are located are clustered to obtain different spatial regions. The reader moves and reads the RFID tag data in the actual application environment to obtain the hydraulic monocoque support's identity data. As the reading environment constantly changes, the environmental interference corresponding to the spatial region is analyzed based on the reading process and sensor data of the already read RFID tags and the corresponding environmental interference error. Simultaneously, the environmental interference error is used to correct the reading process of the RFID tag data in the next time interval, and the number and orientation of RFID tags within the spatial region are estimated using sensor data. During the reader's movement, the reading status is dynamically analyzed based on the reader's reading parameters to obtain the current reading status. Then, the reading status of the next time interval during the reader's movement is predicted based on the current reading status. Finally, the reader's reading parameters are adaptively adjusted based on the predicted reading status and the number and orientation of RFID tags within the spatial region.

[0092] The technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A method for digital identification of a hydraulic single-unit prop based on RFID, characterized in that, By combining data collected from sensors on environmental scenes, the RFID-based identity recognition process is adaptively optimized. The specific analysis process is as follows: Step 1: Collect sensor data from the environment where the RFID tag is located using sensors on the hydraulic single support. Step 2: Analyze the environmental complexity of the RFID tag's environment using sensor data. The reading signal transmission error of the RFID tag varies under different environmental conditions. Based on the sensor data and different environmental complexities, cluster the space where the RFID tag is located to obtain different spatial regions. Step 3: The reader moves to read RFID tag data in the actual application environment to obtain the identity data of the hydraulic single support. The reading environment is constantly changing. Based on the reading process of the spatial area where the RFID tag is located and the sensor data, the environmental interference corresponding to the spatial area is analyzed to obtain the environmental interference error. Step 4: Correct the reading process of RFID tag data in the next time interval by using environmental interference errors, and estimate the number and orientation of RFID tags in the spatial area by using sensor data. Step 5: During the movement of the reader, the current reading status is obtained by dynamically analyzing the reading status in combination with the reading parameters of the reader. Then, the reading status of the next time interval during the movement of the reader is predicted based on the current reading status. Finally, the reading parameters of the reader are adaptively adjusted based on the predicted reading status of the reader and the number and attitude of RFID in the spatial area. In step two, multiple different types of sensors are installed on the hydraulic single prop. Each set of sensors is denoted as a sensor node. All sensor nodes on the single hydraulic prop form a sensor node network. The point cloud distribution of sensor data is obtained through this network, and feature parameters are extracted from the data collected at different times to obtain the corresponding feature vectors. i represents the sensor node number, j represents the sensor acquisition time, and n represents the number of sensors in the sensor node. Different sensors correspond to different data indicators, and the data indicators correspond to elements in the feature vector. k∈[1,n], calculate the environmental complexity O of the environment in which the hydraulic single prop is located based on sensor data. i (n 2 Then, based on the environmental complexity of the sensor data, a corresponding spatial clustering algorithm is selected, and the spatial clustering algorithm is used to cluster the feature vectors of all sensor nodes to obtain node combinations of different sensor nodes. Different node combinations correspond to different spatial regions, and the horizontal area of ​​different spatial regions is denoted as Q. w , where w∈[1,N d ] represents the subscript number of the spatial region, N d The number of spatial regions within the space read by the reader; In step three, the mobile reader moves within the actual application scenario of the hydraulic monopole to read the identity information carried by the RFID tags. The impact of the initial RFID tag data collection on environmental interference errors is evaluated, with the data packet detection delay rate used as the environmental interference error. Based on the relevant parameters, calculate the delay rate for RFID tag signal transmission data packet detection. The analysis formula is as follows: (η+β) represents the phase difference of the carrier frequency offset, the sampling frequency offset f, and the data packet detection delay H. s (f), a i The impact of various environmental interferences during the initial acquisition process of the reader is analyzed to obtain the data packet detection latency rate corresponding to the reading space. Based on the analysis results of step two, the initial acquisition and reading space is divided into a set of spatial regions. The number of spatial regions. j is the time interval for the reader to collect data. * For the reading time of the reader, establish the distribution parameters of the spatial region and Correspondence formula In step four, the sensor data is converted into point cloud data corresponding to the sensor node network for data analysis. The sensor nodes and hydraulic unit supports are in one-to-one correspondence. The number of hydraulic unit supports and RFID tags is determined by calculating the number of sensor nodes in the spatial area. The transmission direction of the sensor's transmission signal is determined by the transmission characteristics of the sensor during the acquisition process. The positions of the sensors on the hydraulic unit supports are compared with the positions of the RFID tags, and the orientation of the RFID tags is determined by analyzing the sensor data. In step five, the reader moves at a speed of v to read RFID tag data from the actual environment. It transmits a reading signal within the reading space, coupling it with the RFID tag's radio frequency signal to achieve data reading. The reader's current reading state is recorded as... Given a state vector, a dynamic analysis equation is established for the reader to read RFID tag data. At different reading times, the set of spatial regions corresponding to the reading space is different. As the reading time changes, the distribution parameters of the spatial region change, and the corresponding environmental interference error also changes.

2. The RFID-based digital identification method for hydraulic single-unit props according to claim 1, characterized in that, The reading space between the current time interval and the next time interval is spatially transformed. The change in volume of the reading space is determined based on the moving speed v. Then, the transformation matrix of the spatial region is determined by combining the analysis process of sensor data. The reader starts from time slot t α Move to and t β When the transformation matrix is ​​H, Between each element {q m,n }, where m = 1, 2, ..., β, n = 1, 2, ..., α, combined with the distribution parameters of the spatial region established in step three and The correspondence V j* Determine the spatial region after the transfer As spatial regions shift, the environmental disturbance error caused by changes in the spatial region set is calculated, and this environmental disturbance error is utilized. Error correction is performed on the data at the next reading time. Environmental interference errors are related to the composition of the spatial region.

3. The RFID-based digital identification method for hydraulic single-unit props according to claim 2, characterized in that, Let v denote the reader's moving speed. The range of the reader's reading area is fixed. As the reader moves, its reading area corresponds to different spatial regions, and the reader's optimal reading parameters change. When t... α With t β When the time intervals are adjacent, and there is overlap between the read spaces of the readers in the two time intervals, t β The reading space corresponding to the reader within the time gap The sum of the overlapping read space and the newly added read space is denoted as . Calculate the environmental interference error for the newly added read space and the overlapping read space separately, then calculate the average of the two, and record it as the read space when overlapping read space exists. Environmental interference errors.

4. The RFID-based digital identification method for hydraulic single-unit props according to claim 1, characterized in that, The reading parameters in the current reading state include the relative angle between the spatial region and the reader, the moving speed, the reading angle, and the reading signal strength. Environmental interference error corresponds to the composition of the spatial region. Based on the current reading state, the reading state at time ε is predicted to obtain the state vector of the corresponding time interval. When ε = 1, the prediction is performed between consecutive time intervals to determine whether there is an overlapping portion of the read space.

5. The RFID-based digital identification method for hydraulic single-unit props according to claim 1, characterized in that, Predicting the reading state of the reader in the next moment. The reading parameters of the reader are dynamically adjusted, and the sensors include pressure sensors, humidity sensors, and temperature sensors.

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