CN117202123A - RFID sensor-based working and data acquisition analysis method - Google Patents
RFID sensor-based working and data acquisition analysis method Download PDFInfo
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Abstract
The invention relates to the field of RFID sensors, and discloses a working and data acquisition analysis method based on an RFID sensor, which comprises the following steps: the first step: the RFID sensor nodes are arranged in the area needing to be subjected to work and data acquisition and analysis; and a second step of: configuring parameters for the RFID sensor system; and a third step of: collecting data in real time through an RFID sensor network; fourth step: storing the acquired RFID sensor data in a database or a cloud platform, and storing and processing the data for subsequent analysis and processing; fifth step: the data analysis and the application are based on data acquisition, the data analysis and the machine learning algorithm are used for mining and analyzing the RFID sensor data, and the working and data acquisition analysis method based on the RFID sensor can improve the data quality and accuracy through data preprocessing and provide a reliable basis for subsequent data analysis and application.
Description
Technical Field
The invention relates to the field of RFID sensors, in particular to a working and data acquisition analysis method based on an RFID sensor.
Background
RFID sensor-based operations and data acquisition analysis may be applied in a variety of fields, such as logistics management, warehouse management, intelligent manufacturing, supply chain management, and the like. The following are some common application scenarios and corresponding data acquisition analysis tasks: asset tracking and management: by attaching RFID tags to assets, the location, status, and usage of the assets can be tracked and recorded in real time. The data acquisition system may receive and analyze such information for effective asset management, location finding, inventory management, equipment maintenance, performance assessment, and the like. Inventory management: the RFID sensor may be used to quickly scan and record product tags, updating inventory information in real-time. The data acquisition system can analyze the data to provide accurate inventory quantities, locations, and status, helping to optimize inventory management, order processing, replenishment, and inventory forecasting. And (3) production process control: the RFID sensor is used on the production line, so that tracking and control can be performed on materials, raw materials and semi-finished products. The data acquisition system can collect and analyze these data in real time, helping to monitor and optimize the production process, reduce errors and delays, and improve production efficiency and quality. Security monitoring and access control: by applying the RFID tag to personnel identity or access credentials, access control, work area restriction, employee location, and other functions may be implemented. The data acquisition system may receive and analyze such data, helping to achieve real-time monitoring and alerting, employee and device positioning, behavioral analysis, and access to logs, etc. Tracing and tracing: in the food, pharmaceutical, etc. industries, RFID sensors may be used to track and record information about the place of production, lot, storage conditions, etc. of a product. The data acquisition system can analyze the data to realize product tracing, quality control, compliance management, security risk assessment and the like. When data acquisition and analysis are carried out, proper algorithms and tools are needed to process and mine the RFID sensor data, and the existing work and data acquisition and analysis based on the RFID sensor are inaccurate in data analysis and processing and easy to cause inaccurate data and have deviation, so that the work and data acquisition and analysis method based on the RFID sensor is provided.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a working and data acquisition analysis method based on an RFID sensor, which solves the problems.
(II) technical scheme
In order to achieve the above purpose, the present invention provides the following technical solutions: an RFID sensor-based working and data acquisition analysis method comprises the following steps:
the first step: the RFID sensor nodes are arranged in the area needing to be subjected to work and data acquisition and analysis;
and a second step of: configuring parameters for the RFID sensor system;
and a third step of: collecting data in real time through an RFID sensor network;
fourth step: storing the acquired RFID sensor data in a database or a cloud platform, and storing and processing the data for subsequent analysis and processing;
fifth step: data analysis and application based on data acquisition, data analysis and machine learning algorithms are used to mine and analyze RFID sensor data.
Preferably, the first step includes the following:
s1: determining an area needing to be subjected to work and data acquisition analysis, and then determining a target in the area;
s2: determining the number and the positions of RFID sensor nodes to be deployed in a network according to a target;
s3: installing RFID sensor nodes according to the designed sensor network arrangement scheme;
s4: parameters of each sensor node are configured.
Preferably, the parameters of the sensor node include transmitting power, receiving sensitivity and data acquisition frequency, and the power supply, data security and privacy protection of the sensor node need to be considered in the whole deployment process.
Preferably, in the second step, the RFID sensor system parameters are configured, and the sensor node position and the transmission frequency need to be considered, where the transmission frequency refers to the frequency at which the sensor node sends data to the receiver or the data center.
Preferably, the third step includes the following:
s1: the RFID reader-writer sends an activating signal to wake up the tag, and electromagnetic waves sent by the reader-writer activate nearby tags through the induction coil;
s2: the reader-writer receives and decodes the data sent by the tag through the induction coil, wherein the data comprises the ID of the tag and the measured value of the sensor.
Preferably, the data storage and processing in the fourth step includes the following:
data conversion: converting the original data read by the RFID sensor into a format suitable for storage;
storage medium selection: using a database, a file system and a cloud storage mode to store data;
and (3) data storage: the method comprises the steps of realizing storage by means of inserting operation of a database, reading and writing operation of a file system and the like;
and (3) loading data: loading all data at one time or loading in batches according to a time range or a condition;
data cleaning: cleaning and filtering the read data by using a data cleaning technology to remove invalid data, repeated data and noise;
data conversion and integration: the data is transformed and integrated to form data that can be used for analysis and application.
Preferably, the data preprocessing is performed during the data storage, and includes the following:
and (3) data verification: based on CRC check and a checksum algorithm, judging whether the data is correct or not through check code and data comparison;
data integration and ordering: if a plurality of readers or a plurality of tags exist in the RFID sensor network, the data read by the readers or the tags need to be integrated together;
tag de-duplication;
data conversion and normalization.
Preferably, the fifth step includes the following:
data analysis: selecting a proper data analysis method according to the service demand and the analysis target;
data visualization: displaying the analysis result in a visual mode;
real-time monitoring and alarming: for real-time monitoring applications, data analysis may be performed by real-time data stream processing techniques;
decision support: and providing decision support according to the analysis result. By analyzing and applying the data, decision support can be provided for business decision, operation optimization, resource management and the like.
(III) beneficial effects
Compared with the prior art, the invention provides a working and data acquisition analysis method based on the RFID sensor, which has the following beneficial effects:
1. the RFID sensor work and data acquisition analysis method can improve data quality and accuracy through data preprocessing, and provide a reliable basis for subsequent data analysis and application.
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FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in a first embodiment:
the working and data acquisition analysis method based on the RFID sensor can be as follows:
step 1: and deploying an RFID sensor network, and deploying RFID sensor nodes in an area needing to perform work and data acquisition and analysis. These nodes may be placed in an object, device or scene to monitor, track and collect data of interest in real time.
Deployment of an RFID sensor network requires the following steps to be followed:
determining an area and a target: first, the area where work and data acquisition analysis is required is determined. The objects within this area, i.e., objects, devices or scenes that need to monitor, track and collect information, are then determined.
Designing a sensor network: and determining the number and the positions of RFID sensor nodes to be deployed in the network according to the target. In view of the communication and data transmission between the sensor nodes, the arrangement of the network nodes should be such as to cover the whole area and ensure accurate acquisition and transmission of the data.
Installing a sensor node: and installing RFID sensor nodes according to the designed sensor network arrangement scheme. The nodes are placed in an object, device or scene so that data of interest can be monitored, tracked and collected in real time. The installation of the node is firm and the node can work normally.
Configuring node parameters: parameters of each sensor node such as transmit power, receive sensitivity, data acquisition frequency, etc. are configured. By adjusting parameters, the requirements of different application scenes, such as distance monitoring, moving object tracking and the like, can be met.
Data acquisition and transmission: after the node starts working, the collected data can be transmitted to a data center or a cloud platform through a wireless network for storage and analysis. Sensor network management software or an internet of things platform can be used for achieving data acquisition and transmission.
Data analysis and application: data analysis is performed on a data center or a cloud platform, and information about objects, equipment or scenes, such as positions, states, use conditions and the like, can be obtained by analyzing the acquired data. Based on the analysis results, further applications such as resource management, production optimization, etc. can be performed.
In the whole deployment process, the problems of power supply, data security, privacy protection and the like of the sensor nodes need to be considered so as to ensure the stable operation of the sensor network and the security of the data.
Step 2: and configuring an RFID sensor system, and configuring proper parameters for the RFID sensor system, including the position, transmission frequency, power consumption control and the like of the sensor nodes. Ensuring that each sensor node is able to accurately capture and transmit data.
In order to configure the appropriate parameters of the RFID sensor system, the following points may be considered:
sensor node position: it is important to determine the placement location of each sensor node. According to the requirements of monitoring and data acquisition, a proper position is selected so as to accurately capture the data of a target object, equipment or scene. If the location of the sensor node is inaccurate, it may result in loss or inaccuracy of the data.
Transmission frequency: the transmission frequency refers to the frequency at which the sensor node transmits data to a receiver or data center. And determining a proper transmission frequency according to the real-time requirement of the data and the availability of network resources.
Step 3: and data acquisition, namely acquiring data in real time through an RFID sensor network. The RFID sensor may scan RFID tags on sensed objects by sensing and send tag information and other sensed data (e.g., temperature, humidity, etc.) to the data acquisition system. The data acquisition system may be specifically designed to receive, store, and process data from the RFID sensor.
The data acquisition of the RFID sensor network is mainly realized through communication between an RFID reader-writer and a tag. The following is a general procedure for data acquisition by the RFID sensor network:
tag activation: RFID tags are typically in a dormant state and require an activation signal to be sent by an RFID reader to wake up the tag. Electromagnetic waves transmitted by the reader-writer activate nearby tags through the induction coil.
And (3) data identification: once the tag is activated, it will begin sending data to the reader. The reader-writer receives and decodes the data transmitted by the tag through the induction coil. Such data may be the tag's ID, sensor measurements, or other custom data.
And (3) data processing: the reader processes and analyzes the received data. This may include converting, checking, deduplicating, etc. the data, and processing the data as needed to meet the application requirements.
And (3) data storage: the processed data may be stored in local memory or transmitted over a network to a cloud or other centralized database. The manner and location of storage depends on the application requirements and network architecture.
And (3) data transmission: the data may be transmitted to a data center or other terminal device by wire or wirelessly. The wireless transmission mode can use Wi-Fi, bluetooth, loRaWAN and the like, and the wired transmission mode can use Ethernet, RS-485 and the like.
Data analysis and application: once the data is transmitted to the target location, further data analysis, processing, and application may take place. Thus, the functions of real-time monitoring, data statistics, resource scheduling, decision support and the like can be realized.
It should be noted that, in the data acquisition process of the RFID sensor network, stable and reliable communication between the reader and the tag needs to be ensured, so as to ensure accuracy and integrity of data. At the same time, it is also necessary to select appropriate solutions and techniques according to specific application scenarios and requirements.
Step 4: and storing and processing the data, namely storing the acquired RFID sensor data in a database or a cloud platform for subsequent analysis and processing. Such data may include tag identification records, location information, time stamps, and the like. The RFID sensor data may be preprocessed and cleaned using suitable data processing methods to remove noise and anomaly data.
The data storage and processing of RFID sensors generally follows the steps of:
and (3) data storage:
and (3) data acquisition: the RFID sensor reads the data on the label and decodes the data to obtain data information.
Data conversion: the raw data read by the RFID sensor is converted into a format suitable for storage. It may be necessary to structure the data, for example to associate the read tag ID with a time stamp.
Storage medium selection: depending on the amount of data and the need, a suitable storage medium is selected. The data may be stored using a database, file system, cloud storage, or the like.
And (3) data storage: the converted data is stored in the selected storage medium. The method can be realized by using the modes of inserting operation of a database, reading and writing operation of a file system and the like.
And (3) data processing:
and (3) loading data: the stored data is read from the storage medium. All data can be loaded at one time according to the requirement, and batch loading can be performed according to the time range or the condition.
Data cleaning: and cleaning and filtering the read data to remove invalid data, repeated data, noise and the like. Data cleaning techniques such as filtering algorithms, outlier detection, etc. may be used.
Data conversion and integration: the data is transformed and integrated as required to form data that can be used for analysis and application. For example, format conversion of the time stamps, integration of data read by different sensors, etc.
Data analysis and application: and analyzing and applying the cleaned and integrated data. Methods such as statistical analysis, machine learning, data mining, etc. can be used to extract useful information for data visualization, real-time monitoring, decision support, etc.
For large-scale RFID sensor systems, data storage and processing may require consideration of performance, concurrent access, real-time response, etc., and distributed storage and processing techniques, such as using distributed databases, data stream processing, etc., may be required. Meanwhile, attention is paid to data security and privacy protection, and corresponding measures are taken to protect confidentiality and integrity of data.
Step 5: data analysis and application based on data acquisition, data analysis and machine learning algorithms are used to mine and analyze RFID sensor data. Valuable information, patterns, or trends can be extracted from the data to aid in decision making and optimization of business processes. According to the actual application demands, corresponding application programs or systems can be developed to realize functions of real-time monitoring, early warning, positioning or resource management and the like.
The data analysis and application of the RFID sensor can be realized by the following steps:
data cleaning and integration: firstly, the read data needs to be cleaned and integrated, and invalid data, repeated data, noise and the like are removed. The data cleaning and integration may be performed using filtering algorithms, anomaly detection, and the like.
Data conversion and normalization: for different types of tag data, data conversion and normalization may be required for subsequent analysis and application. For example, the data of different tags are integrated into a unified format, the time stamps are formatted and converted, etc.
Data analysis: and selecting a proper data analysis method according to the service demand and the analysis target. Common data analysis methods include statistical analysis, machine learning, data mining, and the like. Useful information can be extracted by methods such as data clustering, association rule mining, anomaly detection, and the like. Data analysis may help discover potential laws, associations, and anomalies.
Data visualization: the analysis results are visually presented for understanding and communication. The data can be visualized using charts, maps, dashboards, etc., providing intuitive analysis results and helping users to understand the data better.
Real-time monitoring and alarming: for real-time monitoring applications, data analysis may be performed by real-time data stream processing techniques. And combining with the real-time monitoring requirement, carrying out real-time abnormality detection, real-time prediction and real-time fault diagnosis on the data, timely finding and processing the problems, and triggering corresponding alarm.
Decision support: and providing decision support according to the analysis result. By analyzing and applying the data, decision support can be provided for business decision, operation optimization, resource management and the like. And according to the result and trend of the data analysis, making a corresponding strategy and plan, and optimizing the business process and resource allocation.
In summary, the data analysis and application of the RFID sensor is to clean, integrate, convert and analyze the data read by the sensor, and extract useful information from the data, so as to realize the application of real-time monitoring, decision support and the like. Different application scenarios and requirements require the selection of different analysis methods and techniques to process and analyze the data.
Summarizing: the working and data acquisition and analysis method based on the RFID sensor can be realized through the steps of deploying an RFID sensor network, configuring a sensor system, acquiring data in real time, storing and processing the data, carrying out data analysis, applying and the like. The method can effectively acquire and utilize the RFID sensor data, and provides support for real-time monitoring, tracking and managing of objects, equipment or scenes.
In a second embodiment, based on the first embodiment, data preprocessing is performed during data storage
The RFID sensor performs data preprocessing to improve data quality and accuracy, and generally includes the following steps:
data filtration and washing: RFID sensors typically generate large amounts of data, which may include noise, repeated data, or invalid data. Before data preprocessing, the data needs to be filtered and cleaned first to remove invalid or redundant data. This can be achieved by using a filtering algorithm, a repeated data detection algorithm, an outlier detection algorithm, or the like.
And (3) data verification: the data read by the RFID sensor may have errors or be lost, and in order to verify the integrity and accuracy of the data, data verification is required. Common checking methods include CRC check, checksum algorithm, and the like, and whether the data is correct or not is judged by comparing check codes with the data.
Data integration and ordering: if there are multiple readers or multiple tags in the RFID sensor network, the data they read needs to be integrated together. In addition, the data needs to be ordered in a certain order to ensure that subsequent data processing and analysis can be performed correctly.
Tag de-duplication: in an RFID sensor network, the situation that the same tag is read for multiple times may occur, and tag deduplication processing is required, so that repeated calculation and analysis are avoided.
Data conversion and normalization: the data read by the RFID sensor is typically presented in raw format, requiring data conversion and standardization to accommodate subsequent data analysis and applications. For example, the read data is converted into a standard data type, unit, or data format to facilitate data analysis and processing.
Data compression and storage: for large-scale RFID sensor networks, storage and transmission of data is a challenge. The data compression algorithm can be adopted, so that the storage and transmission quantity of data is reduced, and the storage and transmission efficiency is improved.
Through data preprocessing, the data quality and accuracy can be improved, and a reliable basis is provided for subsequent data analysis and application. The method and steps of data preprocessing can be adjusted and optimized according to specific requirements and application scenes.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The working and data acquisition analysis method based on the RFID sensor is characterized by comprising the following steps of:
the first step: the RFID sensor nodes are arranged in the area needing to be subjected to work and data acquisition and analysis;
and a second step of: configuring parameters for the RFID sensor system;
and a third step of: collecting data in real time through an RFID sensor network;
fourth step: storing the acquired RFID sensor data in a database or a cloud platform, and storing and processing the data for subsequent analysis and processing;
fifth step: data analysis and application based on data acquisition, data analysis and machine learning algorithms are used to mine and analyze RFID sensor data.
2. The method for operating and data acquisition and analysis based on the RFID sensor according to claim 1, wherein: the first step comprises the following steps:
s1: determining an area needing to be subjected to work and data acquisition analysis, and then determining a target in the area;
s2: determining the number and the positions of RFID sensor nodes to be deployed in a network according to a target;
s3: installing RFID sensor nodes according to the designed sensor network arrangement scheme;
s4: parameters of each sensor node are configured.
3. The RFID sensor operation and data collection analysis method of claim 2, wherein: parameters of the sensor node include transmitting power, receiving sensitivity and data acquisition frequency, and in the whole deployment process, power supply, data safety and privacy protection of the sensor node need to be considered.
4. The method for operating and data acquisition and analysis based on the RFID sensor according to claim 1, wherein: in the second step, the parameters of the RFID sensor system are configured, the positions of the sensor nodes and the transmission frequency need to be considered, and the transmission frequency refers to the frequency at which the sensor nodes send data to a receiver or a data center.
5. The method for operating and data acquisition and analysis based on the RFID sensor according to claim 1, wherein: the third step comprises the following steps:
s1: the RFID reader-writer sends an activating signal to wake up the tag, and electromagnetic waves sent by the reader-writer activate nearby tags through the induction coil;
s2: the reader-writer receives and decodes the data sent by the tag through the induction coil, wherein the data comprises the ID of the tag and the measured value of the sensor.
6. The method for operating and data acquisition and analysis based on the RFID sensor according to claim 1, wherein: the data storage and processing in the fourth step comprises the following steps:
data conversion: converting the original data read by the RFID sensor into a format suitable for storage;
storage medium selection: using a database, a file system and a cloud storage mode to store data;
and (3) data storage: the method comprises the steps of realizing storage by means of inserting operation of a database, reading and writing operation of a file system and the like;
and (3) loading data: loading all data at one time or loading in batches according to a time range or a condition;
data cleaning: cleaning and filtering the read data by using a data cleaning technology to remove invalid data, repeated data and noise;
data conversion and integration: the data is transformed and integrated to form data that can be used for analysis and application.
7. The method for operating and data acquisition and analysis based on the RFID sensor according to claim 1, wherein: when the data is stored, the data preprocessing is carried out, and comprises the following contents:
and (3) data verification: based on CRC check and a checksum algorithm, judging whether the data is correct or not through check code and data comparison;
data integration and ordering: if a plurality of readers or a plurality of tags exist in the RFID sensor network, the data read by the readers or the tags need to be integrated together;
tag de-duplication;
data conversion and normalization.
8. The method for operating and data acquisition and analysis based on the RFID sensor according to claim 1, wherein: the fifth step comprises the following steps:
data analysis: selecting a proper data analysis method according to the service demand and the analysis target;
data visualization: displaying the analysis result in a visual mode;
real-time monitoring and alarming: for real-time monitoring applications, data analysis may be performed by real-time data stream processing techniques;
decision support: and providing decision support according to the analysis result. By analyzing and applying the data, decision support can be provided for business decision, operation optimization, resource management and the like.
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