Hydraulic single prop digital identity recognition method based on RFID

Abstract

The invention discloses an RFID-based hydraulic single prop digital identity recognition method, which comprises the following steps of: firstly, carrying out clustering analysis according to sensor data to realize space division on an actual application environment scene, and then analyzing an environment interference error of a reading space in which a reader moves according to acquired RFID tag data; finally, the reading state corresponding to the moved time slot is predicted, parameters of the reader are adjusted according to the predicted reading state, self-adaption of the reading parameters is achieved, the adaptability of the reader to complex and changeable application environment scenes is improved, data collaboration of sensor data and RFID tag data is achieved, and the reading efficiency of the reader is improved. The environment scene where the RFID tags are located is fully analyzed through sensor data, different space areas correspond to different environment scenes, the reading efficiency of the reader is different, and when the reader carries out moving reading on the multiple RFID tags, the RFID reading efficiency is improved by adjusting parameters of the reader.

Description

Technical Field

[0001] The invention relates to the technical field of identity recognition, and in particular to a digital identity recognition method for a hydraulic monomer support based on RFID. Background Art

[0002] A single hydraulic prop is composed of a cylinder, a piston and a valve, and is mainly used in roof support of coal mine working faces, comprehensive working face support, etc. Since some single hydraulic props have the characteristics of large usage, frequent turnover, and scattered use locations, in order to ensure the good working performance of each prop, it is very important to strictly manage the single hydraulic props; in the existing technology, the intelligent tracking and management of single hydraulic props is realized by combining RFID radio frequency technology with computer technology, and data information such as the use time, use location and maintenance status of the props are collected in real time. RFID radio frequency technology uses non-contact wireless communication, and uses a reader to operate the RFID tag within the range to read the dynamic use information of the single hydraulic prop on the RFID tag; but Because the coupling elements, chips and antennas are encapsulated in the RFID tags, in harsh environments such as coal mines with humid air, strong corrosion and serious electromagnetic interference, when the reader dynamically reads the RFID tags of multiple single hydraulic pillars in the coal mine, it is affected by the changes in the complex actual environmental scenes, and there are problems such as increased signal interference, inability to determine the spatial environmental error, corrosion, bending and wear of the RFID tags, resulting in reading and writing difficulties. In order to improve the efficiency of single hydraulic pillar identity recognition in complex environments, speed up information transmission, exchange and processing, realize efficient automatic management of single hydraulic pillars, and intelligently track and manage the use of single hydraulic pillars, the present invention proposes a single hydraulic pillar digital identity recognition method based on RFID. Summary of the invention

[0003] In order to solve the above problems, that is, to solve the problems mentioned in the background technology, the present invention provides a digital identity recognition method for a hydraulic single-body support based on RFID. First, cluster analysis is performed according to sensor data to realize spatial division of the environmental scene of actual application. Then, the environmental interference error of the reading space where the reader moves is analyzed according to the collected RFID tag data. Finally, the reading state corresponding to the time gap after the movement is predicted, and the parameters of the reader are adjusted according to the predicted reading state to realize the adaptation of the reading parameters, thereby improving the adaptability of the reader to complex and changeable application environment scenes, and realizing data coordination between sensor data and RFID tag data. The environmental scene where the RFID tag is located is fully analyzed using the sensor data. Different spatial areas correspond to different environmental scenes, and the reading efficiency of the reader is different. When the reader performs mobile reading of multiple RFID tags, the efficiency of reading RFID is improved by adjusting the parameters of the reader.

[0004] The present invention proposes a digital identification method for hydraulic single pillars based on RFID. Combined with the data collected by sensors on environmental scenes, the identification process based on RFID data is adaptively optimized. The specific analysis process is as follows: Step 1: Collect sensor data of the environment where the RFID tag is located through the sensor on the hydraulic single support; Step 2: Use sensor data to analyze the environmental complexity of the environment scene where the RFID tag is located. The reading signal transmission error of the RFID tag under different environmental conditions is different. According to the sensor data and different environmental complexities, the space where the RFID tag is located is clustered to obtain different spatial areas; Step 3: The reader performs mobile reading of the RFID tag data in the actual application environment scene to obtain the identity data of the hydraulic single support. The read environment scene is constantly changing. According to the reading process and sensor data of the spatial area where the read RFID tag is located, the environmental interference corresponding to the spatial area is analyzed to obtain the environmental interference error; Step 4: Use the environmental interference error to correct the reading process of the RFID tag data in the next time interval, and estimate the number and posture of the RFID tags in the spatial area through the sensor data; Step 5. During the movement of the reader, the reading state is dynamically analyzed in combination with the reading parameters of the reader to obtain the current reading state, and then the reading state of the next time slot during the movement of the reader is predicted based on the current reading state. Finally, the reading parameters of the reader are adaptively adjusted based on the predicted reading state of the reader and the number and posture of the RFIDs in the spatial area.

[0005] Specifically, in step 2, a plurality of different types of sensors are installed on the hydraulic single support, and the corresponding sensor set is recorded as a sensor node. The sensor nodes on all the single hydraulic supports form a sensor node network. The point cloud distribution of the sensor data is obtained through the sensor node network, and the characteristic parameters of the sensor nodes in the data at different acquisition times are extracted to obtain the corresponding characteristic vectors. , is the sensor node number, is the sensor collection time, is the number of sensors in the sensor node. Different sensors correspond to different data indicators, and data indicators correspond to elements in the feature vector , calculate the environmental complexity of the environment where the hydraulic single support is located based on the sensor data , and then select the corresponding spatial clustering algorithm according to the environmental complexity of the sensor data, and use the spatial clustering algorithm 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 recorded as ,in is the subscript number of the spatial region, The number of spatial regions in the space read by the reader.

[0006] Specifically, in step 3, the mobile reader moves to read the identity information carried by the RFID tag in the actual application scenario of the hydraulic single support, and the impact of the initial collected RFID tag data on the environmental interference error is evaluated, and the delay rate of the data packet detection is used as the environmental interference error. Calculate the delay rate of RFID tag signal transmission data packet detection , the analysis formula is as follows: is the phase difference of the carrier frequency offset, the sampling frequency offset and packet detection delay , The influence of different environmental interferences. During the initial acquisition process of the reader, the data packet detection delay rate corresponding to the reading space is obtained through signal analysis. , combined with the analysis results of step 2, the initial acquisition reading space is divided into a set of spatial regions , is the number of spatial regions, is the time interval collected by the reader, For the reading time of the reader, establish the distribution parameters of the spatial area and The corresponding relationship .

[0007] 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 correspond one-to-one to the hydraulic single pillars. The number of hydraulic single pillars 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 sensing signal during the sensor acquisition process. The position of the sensor on the hydraulic single pillar is compared with the position of the RFID tag, and the posture of the RFID tag is determined by analyzing the sensor data.

[0008] In particular, in step 5, the reader uses The RFID tag data in the actual environment scene is read at a moving speed of 100 m, a reading signal is emitted in the reading space, and the data is coupled with the radio frequency signal of the RFID tag to realize data reading. The current reading state of the reader is recorded as , As a state vector, a dynamic analysis equation for the reader to read RFID tag data is established. At different reading times, the set of spatial regions corresponding to the reading space has different compositions. As the reading time changes, the distribution parameters of the spatial region change, and the corresponding environmental interference error also changes.

[0009] In particular, the reading space of the current time slot and the next time slot is converted in space according to the moving speed Determine the volume change of the reading space, and then determine the transformation matrix of the spatial area by combining the analysis process of the sensor data , the reader starts from the time slot Move to and When , the transformation matrix is , Between the elements ,in , , combined with the distribution parameters of the spatial region established in step 3 and The corresponding relationship , determine the spatial region after the transfer , with the transfer of the spatial area, the environmental interference error caused by the change of the spatial area set is calculated, and the environmental interference error is used The data at the next reading time is error corrected, and the environmental interference error is related to the composition of the spatial area.

[0010] In particular, the moving speed of the reader is recorded as , the range of the reader's reading area is fixed. As the reader moves, the reader's reading area corresponds to different spatial regions, and the reader's most suitable reading parameters change. and When the time slots are adjacent, and there is overlap between the reading spaces of the readers in the two time slots, The reading space corresponding to the reader in the time slot is recorded as the sum of the overlapped read space and the newly added read space, and the newly added read space is recorded as , calculate the environmental interference errors of the newly added reading space and the overlapping reading space respectively, and then calculate the average value of the two, which is recorded as the reading space when there is an overlapping reading space environmental interference error.

[0011] In particular, the reading parameters of 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. The environmental interference error corresponds to the composition of the spatial region. The reading state at the reading time is predicted to obtain the state vector corresponding to the time interval ,when It is a prediction between consecutive time gaps to determine whether there is an overlap in the reading space. The predicted reading state of the reader at the next moment , dynamically adjust the reading parameters of the reader, and the sensors include pressure sensors, humidity sensors and temperature sensors.

[0012] The beneficial effects of the present invention are: 1. In the present invention, the environmental scene of the single hydraulic support is analyzed through sensor data, and then the RFID tag data corresponding to the single hydraulic support is digitally identified, thereby realizing data coordination between the sensor data and the RFID tag data. First, the sensor set on each single hydraulic support is recorded as a sensor node, and the sensor node network is recorded as a data entity. The environmental scene of the single hydraulic support is classified through cluster analysis of the sensor data to obtain different spatial areas. During the reading process of the RFID tag in the same spatial area, the error influence of the environment on the signal transmission is the same.

[0013] 2. In the present invention, the range of the reading space of the mobile reader is consistent. However, due to the complex and changeable environment of the single hydraulic support in the actual application scenarios of underground such as coal mines, the signal transmission is affected during the RFID data reading process. The reading space after the reader moves is a scene with a complex environment. In order to improve the reading efficiency of the reader, in this application, the current reading state is used to predict the reading state corresponding to the time gap when the RFID tag is not read, and the reading parameters of the reader are adjusted according to the predicted reading state to achieve the correspondence and optimization of the reading parameters and the environmental scenes.

[0014] 3. In the present invention, during the dynamic reading process of the reader, the reading signal strength corresponding to the reading space is a constant. As the reader moves, the spatial region composition corresponding to the reading space is different, and the overall impact on signal transmission is also different. A corresponding relationship is established between the collected data packet delay rate of the reading space and the composition of the spatial region. When the spatial region composition of the reading space changes, a predicted data packet delay rate is obtained, and 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 to improve the reading efficiency of the reader. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a flow chart of the overall method of the present invention; Figure 2 It is a flow chart of the analysis of sensor data in the present invention; Figure 3 This is a flow chart for analyzing the environmental interference error in the present invention. DETAILED DESCRIPTION

[0016] Please refer to the attached Figure 1 To Attachment Figure 3 Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0017] With the development of digital identity recognition, barcodes, magnetic cards, etc. have been widely used in finance, telecommunications, services, daily consumption and other fields. Similarly, in the process of intelligent tracking and management of single hydraulic pillars, RFID-based contactless technology combines radio frequency identification technology, magnetoelectric technology and computer technology, overcoming many shortcomings of contact cards. By using contactless wireless communication, the reader can operate the card within the range. However, since the radio frequency card encapsulates the chip and induction antenna in the card, it is very easy to deform due to temperature changes, the operating temperature range is narrow, and the card has poor bending resistance. If the card surface is slightly worn, the chip and antenna in the card are easily damaged, resulting in reading and writing difficulties. Therefore, in the complex and harsh environment of coal mines with humid air, strong corrosion, and severe electromagnetic interference, the RFID-based digital identity recognition system has certain recognition defects.

[0018] When multiple RFID tags are identified at the same time, the collision, signal protocol, and transmission distance between different tags are analyzed, and the digital identification process of different RFID tags is dynamically analyzed; An RFID tag is attached to the hydraulic single support, and the tag encapsulates coupling components and chips for identification. The tag records the usage information of each hydraulic single support. The data content of the data tag on the hydraulic single support is obtained through the RFID system, and the data is obtained and transmitted; 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. Tag: composed of coupling elements and chips, each electronic tag has only one electronic code attached to a target object to identify the target information. As a data carrier and transponder, it has the characteristics of small size, long life, reusability, fast reading and writing, non-visual and mobile identification, multi-target identification, positioning, long-term tracking management, and a unique ID identification; Reader / writer: A device used to read and write information data. It is a bridge between electronic tags and management systems. The reader / writer may be affected by factors such as frequency, antenna gain, reader / writer direction, transponder antenna and position. The radio frequency signal interacts with the corresponding electronic tag, identifies and reads the corresponding data content. Antenna: used to transmit signals between tags and readers; The reader / writer sends high-frequency signal energy into space through the antenna in the form of electromagnetic radiation, and the antenna of the electronic tag receives electromagnetic energy when it enters the space; RFID technology uses multiple frequency bands to achieve data communication and complete the identification of electronic tags and the reading and writing of data. Because it uses a contactless communication method, uses electromagnetic waves as the transmission medium and uses free space as the transmission channel, it generally uses the inductive coupling principle or the backscattering working principle. The specific frequency bands and principles used are determined by the application requirements and application fields. When electromagnetic waves propagate in space, they are reflected, refraction, scattering, and absorption, which cause losses and signal attenuation. The multipath effect also causes time delays. In addition, both indoor and outdoor space environments are highly random, making it difficult to analyze the interference of data transmission in a fixed condition model. In addition, due to the openness of space, the various electromagnetic wave signals that actually exist also cause various interferences to the space transmission channel. In the RFID system, due to the number of tags, There are many tags. After the reader sends a signal, the response signals from different tags also interfere with each other. In theory, the larger the RFID system, the more complex and prominent the interference problem itself is. For these reasons, various fault phenomena such as missed reading and unrecognized will eventually occur in the transmission process of data reading and writing, resulting in a longer time for tag recognition and reducing the recognition efficiency of the recognition system. In order to improve the recognition speed of the recognition system, the RFID system introduces more intelligent and adaptive technologies, such as automatically adjusting the signal strength and optimizing the antenna direction, to cope with complex and changeable environmental factors and improve the reliability and stability of the system. The present invention proposes a digital identity recognition method for hydraulic single pillars based on RFID. Combined with the data collected by the sensor on the environmental scene, the identity recognition process based on RFID data is adaptively optimized. The specific analysis process is as follows: Step 1: Collect sensor data of the environment where the RFID tag is located through the sensor on the hydraulic single support; RFID tag is a passive or active device on the object to be identified, which contains information about the object. Passive tags provide energy and response by receiving signals sent by the reader, while active tags use their own power supply to send response signals; the reader is responsible for communicating with the tag and extracting the information stored in the tag. The back-end database stores and manages data related to the tag, automatically identifies the target object using radio waves, and obtains data from it. Each RFID tag has a unique ID; Step 2: Use sensor data to analyze the environmental complexity of the environment scene where the RFID tag is located. The reading signal transmission error of the RFID tag under different environmental conditions is different. According to the sensor data and different environmental complexities, the space where the RFID tag is located is clustered to obtain different spatial areas; Step 3: The reader performs mobile reading of the RFID tag data in the actual application environment scene to obtain the identity data of the hydraulic single support. The read environment scene is constantly changing. According to the reading process and sensor data of the spatial area where the read RFID tag is located, the environmental interference corresponding to the spatial area is analyzed to obtain the environmental interference error; In an environmental scenario, the transmission process of the RFID signal is analyzed according to the generated data, and the obtained environmental error is cascaded with the space. With the transformation of the space matrix, the impact on the reading process of the next time slot is also certain; Step 4: Use the environmental interference error to correct the reading process of the RFID tag data in the next time interval, and estimate the number and posture of the RFID tags in the spatial area through the sensor data; The tag reading efficiency will decrease as the number of tags increases. By using the tag arrays in the spatial area of ​​different environmental scenes, the RFID data is estimated based on the information collected by the sensor to obtain an approximate number of tags. Step 5: During the movement of the reader, the reading state is dynamically analyzed in combination with the reading parameters of the reader to obtain the current reading state, and then the reading state of the next time slot during the movement of the reader is predicted based on the current reading state. Finally, the reading parameters of the reader are adaptively adjusted based on the predicted reading state of the reader and the number and posture of the RFID in the spatial area; Dynamically identify and analyze the RFID data collected by the reader, analyze the posture and relative position of the hydraulic single support under the interference of environmental interference errors, establish the state equation of dynamic acquisition of the reader, analyze the reading status of different time slots, calculate the reading efficiency of the reader in the newly added reading space corresponding to different time slots during the space conversion process, calculate the boundary of the space and time dynamic coupling analysis, calculate the migration error of the space transformation, adjust the dynamic switching algorithm for different actual application scenarios according to the analysis results, automatically adjust the signal strength and optimize the direction of the antenna according to the changes in the actual scene, and adapt to complex environmental scenes.

[0019] When working underground, the single hydraulic props are scattered at different positions and in different environmental scenes. RFID tags and sensors are integrated into the single hydraulic props, and the information of the single hydraulic props is collected by using RFID radio frequency technology and sensors. The identity information encapsulated by the RFID tags and the sensing information collected by the sensors are fused and analyzed collaboratively to realize the identity recognition and management of the single hydraulic props. Different types of sensors are installed on the single hydraulic props. The sensors form a sensor set corresponding to the position of the single hydraulic prop. A sensor set is recorded as a sensor node. The sensor nodes on all the single hydraulic props underground form a sensor node network. The position space of the single hydraulic props is analyzed according to the sensor node network. The characteristic parameters of the data collected by the sensor nodes are extracted to obtain the corresponding characteristic vectors. Different spatial regions correspond to different environmental complexities. Different node combinations are obtained by classification according to the characteristic vectors. The single hydraulic props with different node combinations are at different positions in the three-dimensional space. The three-dimensional space is spatially divided by the node combination to obtain different spatial regions.

[0020] In the step 2, a plurality of sensors of different types are installed on the hydraulic single support, and the corresponding sensor set is recorded as a sensor node. The sensor nodes on all the single hydraulic supports form a sensor node network. The point cloud distribution of the sensor data is obtained through the sensor node network, and the characteristic parameters of the sensor nodes in the data at different acquisition times are extracted to obtain the corresponding characteristic vectors. , is the sensor node number, is the sensor collection time, is the number of sensors in the sensor node. Different sensors correspond to different data indicators, and data indicators correspond to elements in the feature vector , calculate the environmental complexity of the environment where the hydraulic single support is located based on the sensor data , and then select the corresponding spatial clustering algorithm according to the environmental complexity of the sensor data, and use the spatial clustering algorithm 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 recorded as ,in is the subscript number of the spatial region, The number of spatial regions in the space read by the reader.

[0021] The spatial region is obtained by clustering, so the environmental scenes where the RFID tags are located are similar. The environmental scenes where the single hydraulic props are located have a certain degree of influence on the tag signal. The signal transmission error in the spatial region is generated while keeping the RFID tag antenna and the signal consistent. In the same spatial region, the signal transmission error caused by the environment where the single hydraulic props are located remains consistent. In a spatial region, the plane area in the horizontal direction of the spatial region is , the set of spatial regions corresponding to the reader’s reading space is , the corresponding plane area distribution set of the spatial region is recorded as , The weighted distance calculation method is Indicates the impact of different environmental interferences, Represents the similarity between the training and test curves, and the weights are described as follows in is the Euclidean distance, It is Liquid The measurement of The phase value of each tag, is the phase value of the th label of the test curve, Expressed as Liquid relative to RFID tag The variance of the Euclidean distance; In step 3, the mobile reader moves to read the identity information carried by the RFID tag in the actual application scenario of the hydraulic single support, and evaluates the impact of the initial collected RFID tag data on the environmental interference error, taking the delay rate of the data packet detection as the environmental interference error. Calculate the delay rate of RFID tag signal transmission data packet detection , the analysis formula is as follows: is the phase difference of the carrier frequency offset, the sampling frequency offset and packet detection delay , The influence of different environmental interferences. During the initial acquisition process of the reader, the data packet detection delay rate corresponding to the reading space is obtained through signal analysis. , combined with the analysis results of step 2, the initial acquisition reading space is divided into a set of spatial regions , is the number of spatial regions, is the time interval collected by the reader, For the reading time of the reader, establish the distribution parameters of the spatial area and The corresponding relationship .

[0022] The reader sends radio frequency energy - the radio frequency electronic tag enters the reading and writing range of the reader - the radio frequency electronic tag receives energy and is awakened - the radio frequency electronic tag sends coded information - the reader receives the coded information - the reader decodes the information - and transmits the data information to the application; according to the digital identity data of the single hydraulic support collected by the tag array, pre-processing and detection are performed, and finally the corresponding features of the spatial area are extracted and sent to the multimodal convolutional neural network to realize spatial area recognition. is the transmit power, is the backscatter transmission loss, is the distance between the reading antenna and the tag antenna, and are the gains of the reader antenna and tag antenna, respectively; In step four, the sensor data is converted into point cloud data corresponding to the sensor node network for data analysis. The sensor nodes correspond to the hydraulic single pillars one-to-one. The number of hydraulic single pillars 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 sensing signal during the sensor acquisition process. The position of the sensor on the hydraulic single pillar is compared with the position of the RFID tag, and the posture of the RFID tag is determined by analyzing the sensor data.

[0023] In step 5, the reader uses The RFID tag data in the actual environment scene is read at a moving speed of 100 m, a reading signal is emitted in the reading space, and the data is coupled with the radio frequency signal of the RFID tag to realize data reading. The current reading state of the reader is recorded as , As a state vector, a dynamic analysis equation for the reader to read RFID tag data is established. At different reading times, the set of spatial regions corresponding to the reading space has different compositions. As the reading time changes, the distribution parameters of the spatial region change, and the corresponding environmental interference error also changes.

[0024] The identity data of the single hydraulic prop is analyzed according to the RFID tag data. The reader reads the tag information in the reading space randomly, resulting in inconsistent collected data. When the reader moves, the relative position of the RFID tag of the single hydraulic prop in the dynamically changing reading space changes. The specific steps are as follows: S1, extracting tag response information, obtaining the first sequence of RFID tags in the moving process; S2. Perform data preprocessing and signal transmission error detection on the collected first sequence of RFID tag information, where m represents the collection index of the RFID signal and n represents the number of tags, including collision bit detection, phase detection, received signal strength, and signal deviation degree: S3, analyzing the reflection signals of different RFID tags, extracting features of the data information of the first array within the newly added reading range, and classifying the RFID signals to obtain the corresponding RFID tag combination; S4. Compare the number of RFID tag combinations of the node combination of the sensor nodes obtained by the sensor. If the number of nodes in the node combination of the sensor is less than or equal to the number of RFID tags, supplement the elements of the first sequence to obtain a second detection sequence.

[0025] The reading space of the current time slot and the next time slot is converted in space according to the moving speed Determine the volume change of the reading space, and then determine the transformation matrix of the spatial area by combining the analysis process of the sensor data , the reader starts from the time slot Move to and When , the transformation matrix is , Between the elements ,in , , combined with the distribution parameters of the spatial region established in step 3 and The corresponding relationship , determine the spatial region after the transfer , with the transfer of the spatial area, the environmental interference error caused by the change of the spatial area set is calculated, and the environmental interference error is used The error correction is performed on the data at the next reading time. The environmental interference error is related to the composition of the spatial region. During the time gap corresponding to the initial acquisition process, the corresponding relationship between the spatial area and the environmental interference error is ,As the reader moves, the spatial region shifts spatially and the ,corresponding environmental interference error changes.

[0026] When there is an overlapping spatial area between two time gaps, the mobile reader reads the sensing information of the RFID tag and obtains the first read tag. After a time gap has changed, the newly added read area becomes an overlapping read space, and the spatial area matrix of the corresponding spatial area division changes. The reading process from the second read tag to the N-1th read tag of the overlapping reading is related to the change matrix H. The dynamic process in the newly added reading space is coupled with the dynamic changes of the sensor data collection environment, and the dynamic coupling boundary value is calculated. At the corresponding boundary value, the signal recognition process of the RFID tags in the area is analyzed, combined with the distance and attenuation law for analysis, and the reading efficiency of the RFID tag sequence is calculated.

[0027] The moving speed of the reader is , the range of the reader's reading area is fixed. As the reader moves, the reader's reading area corresponds to different spatial regions, and the reader's most suitable reading parameters change. and When the time slots are adjacent, and there is overlap between the reading spaces of the readers in the two time slots, The reading space corresponding to the reader in the time slot is recorded as the sum of the overlapped read space and the newly added read space, and the newly added read space is recorded as , calculate the environmental interference errors of the newly added reading space and the overlapping reading space respectively, and then calculate the average value of the two, which is recorded as the reading space when there is an overlapping reading space environmental interference error.

[0028] In the same spatial area, the tag collision position is analyzed. The response of each tag is independent of each other. When the reader reads the working single hydraulic support, the transmission signals between different tags collide with each other. Layer The probability that labels are assigned to the same group follows a quadratic distribution, in, represents the probability of selecting one of the groups. If no label is selected, the probability that the group is idle is: If there is only one label selection, then the probability that the group can be successfully identified is: If more than one label is selected, then the probability of a label collision for the group is: Assume The total number of time slots in the layer is express: in, Indicates the number of idle time slots. The first layer will be generated when the feature values ​​of the layers collide and at least one group has only one label selection. There are idle time slots in the layer; Indicates the number of collision time slots.

[0029] The reading parameters of the current reading state include the relative angle between the spatial area and the reader, the moving speed, the reading angle and the reading signal strength. The environmental interference error corresponds to the composition of the spatial area. The reading state at the reading time is predicted to obtain the state vector corresponding to the time interval ,when It is a prediction between consecutive time gaps to determine whether there is an overlap in the reading space. The predicted reading state of the reader at the next moment , dynamically adjust the reading parameters of the reader, and the sensors include pressure sensors, humidity sensors and temperature sensors.

[0030] When the present invention is used specifically, first, the sensor data of the environment in which the RFID tag is located is collected through the sensor on the hydraulic single support; then, the environmental complexity of the environmental scene in which the RFID tag is located is analyzed using the sensor data, and the reading signal transmission error of the RFID tag under different environmental conditions is different. The space where the RFID tag is located is clustered according to the sensor data and different environmental complexities to obtain different spatial areas; the reader performs mobile reading of the RFID tag data in the actual application environment scene to obtain the identity data of the hydraulic single support, and the read environmental scene is constantly changing. According to the reading process and sensor data of the spatial area where the read RFID tag is located, the environmental interference corresponding to the spatial area is analyzed to obtain the environmental interference error; at the same time, 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 posture of the RFID tags in the spatial area are estimated by the sensor data; during the movement of the reader, the reading state is dynamically analyzed in combination with the reading parameters of the reader to obtain the current reading state, and then the reading state of the next time interval in the movement of the reader is predicted according to the current reading state, and finally the reading parameters of the reader are adaptively adjusted according to the predicted reading state of the reader and the number and posture of the RFID in the spatial area.

[0031] The technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings, but it is easy for those skilled in the art to understand that the protection scope 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 may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A digital identification method for hydraulic single pillar based on RFID, It is characterized in that Combined with the data collected by the sensor on the environmental scene, the identity recognition process based on RFID data is adaptively optimized. The specific analysis process is as follows: Step 1: Collect sensor data of the environment where the RFID tag is located through the sensor on the hydraulic single support; Step 2: Use sensor data to analyze the environmental complexity of the environment scene where the RFID tag is located. The reading signal transmission error of the RFID tag under different environmental conditions is different. According to the sensor data and different environmental complexities, the space where the RFID tag is located is clustered to obtain different spatial areas; Step 3: The reader performs mobile reading of the RFID tag data in the actual application environment scene to obtain the identity data of the hydraulic single support. The read environment scene is constantly changing. According to the reading process and sensor data of the spatial area where the read RFID tag is located, the environmental interference corresponding to the spatial area is analyzed to obtain the environmental interference error; Step 4: Use the environmental interference error to correct the reading process of the RFID tag data in the next time interval, and estimate the number and posture of the RFID tags in the spatial area through the sensor data; Step 5. During the movement of the reader, the reading state is dynamically analyzed in combination with the reading parameters of the reader to obtain the current reading state, and then the reading state of the next time slot during the movement of the reader is predicted based on the current reading state. Finally, the reading parameters of the reader are adaptively adjusted based on the predicted reading state of the reader and the number and posture of the RFIDs in the spatial area.

2. According to the RFID-based digital identification method for hydraulic single pillars according to claim 1, It is characterized in that In the step 2, a plurality of sensors of different types are installed on the hydraulic single support, and the corresponding sensor set is recorded as a sensor node. The sensor nodes on all the single hydraulic supports form a sensor node network. The point cloud distribution of the sensor data is obtained through the sensor node network, and the characteristic parameters of the sensor nodes in the data at different acquisition times are extracted to obtain the corresponding characteristic vectors. , is the sensor node number, is the sensor collection time, is the number of sensors in the sensor node. Different sensors correspond to different data indicators, and data indicators correspond to elements in the feature vector , calculate the environmental complexity of the environment where the hydraulic single support is located based on the sensor data , and then select the corresponding spatial clustering algorithm according to the environmental complexity of the sensor data, and use the spatial clustering algorithm 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 recorded as ,in is the subscript number of the spatial region, The number of spatial regions in the space read by the reader.

3. According to the RFID-based digital identification method for hydraulic single pillars according to claim 1, It is characterized in that In step 3, the mobile reader moves to read the identity information carried by the RFID tag in the actual application scenario of the hydraulic single support, and evaluates the impact of the initial collected RFID tag data on the environmental interference error, taking the delay rate of the data packet detection as the environmental interference error. Calculate the delay rate of RFID tag signal transmission data packet detection , the analysis formula is as follows: is the phase difference of the carrier frequency offset, the sampling frequency offset and packet detection delay , The influence of different environmental interferences. During the initial acquisition process of the reader, the data packet detection delay rate corresponding to the reading space is obtained through signal analysis. , combined with the analysis results of step 2, the initial acquisition reading space is divided into a set of spatial regions , is the number of spatial regions, is the time interval collected by the reader, For the reading time of the reader, establish the distribution parameters of the spatial area and The corresponding relationship .

4. According to the RFID-based digital identification method for hydraulic single pillars according to claim 1, It is characterized in that In step four, the sensor data is converted into point cloud data corresponding to the sensor node network for data analysis. The sensor nodes correspond to the hydraulic single pillars one-to-one. The number of hydraulic single pillars 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 sensing signal during the sensor acquisition process. The position of the sensor on the hydraulic single pillar is compared with the position of the RFID tag, and the posture of the RFID tag is determined by analyzing the sensor data.

5. According to the RFID-based digital identification method for hydraulic single pillars according to claim 1, It is characterized in that In step 5, the reader reads the RFID tag data in the actual environment scene at a moving speed, transmits a reading signal in the reading space, couples with the radio frequency signal of the RFID tag to realize data reading, and records the current reading state of the reader as , As a state vector, a dynamic analysis equation for the reader to read RFID tag data is established. At different reading times, the set of spatial regions corresponding to the reading space has different compositions. As the reading time changes, the distribution parameters of the spatial region change, and the corresponding environmental interference error also changes.

6. According to claim 1, a method for digital identification of a hydraulic single support based on RFID, It is characterized in that The reading space of the current time slot and the next time slot is converted in space according to the moving speed Determine the volume change of the reading space, and then determine the transformation matrix of the spatial area by combining the analysis process of the sensor data , the reader starts from the time slot Move to and When , the transformation matrix is , Between the elements ,in , , combined with the distribution parameters of the spatial region established in step 3 and The corresponding relationship , determine the spatial region after the transfer , with the transfer of the spatial area, the environmental interference error caused by the change of the spatial area set is calculated, and the environmental interference error is used The data at the next reading time is error corrected, and the environmental interference error is related to the composition of the spatial area.

7. The method for digital identification of a hydraulic single support based on RFID according to claim 6, It is characterized in that The moving speed of the reader is , the range of the reader's reading area is fixed. As the reader moves, the reader's reading area corresponds to different spatial regions, and the reader's most suitable reading parameters change. and When the time slots are adjacent, and there is overlap between the reading spaces of the readers in the two time slots, The reading space corresponding to the reader in the time slot is recorded as the sum of the overlapped read space and the newly added read space, and the newly added read space is recorded as , calculate the environmental interference errors of the newly added reading space and the overlapping reading space respectively, and then calculate the average value of the two, which is recorded as the reading space when there is an overlapping reading space environmental interference error.

8. According to claim 5, a method for digital identification of a hydraulic single support based on RFID, It is characterized in that The reading parameters of the current reading state include the relative angle between the spatial area and the reader, the moving speed, the reading angle and the reading signal strength. The environmental interference error corresponds to the composition of the spatial area. The reading state at the reading time is predicted to obtain the state vector corresponding to the time interval ,when It is a prediction between consecutive time gaps to determine whether there is an overlap in the reading space. 。 9. The method for digital identification of a hydraulic single support based on RFID according to claim 1, It is characterized in that The predicted reading state of the reader at the next moment , dynamically adjust the reading parameters of the reader, and the sensors include pressure sensors, humidity sensors and temperature sensors.

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