CN117669623A - An RFID-based signal intelligent sensing method and system - Google Patents

Abstract

The invention provides an intelligent signal sensing method and system based on RFID. The method comprises the following steps: s1: in the area needing to be sensed, arranging RFID read-write equipment and arranging RFID labels on the articles needing to be sensed; s2: the RFID read-write equipment is connected with the RFID tag in a wireless connection mode, sends wireless signals, communicates with the tag in the area and receives signals transmitted by the RFID tag; s3: the RFID read-write equipment decodes the received signals to obtain data information stored in the RFID; the data information includes a unique identifier of the object and location information. By using the RFID tag and the read-write equipment, automatic data acquisition of the inventory items can be realized; the RFID technology can quickly read information of a large number of articles without manually scanning the articles one by one, so that the data acquisition efficiency is improved; through RFID technology, can realize the unique identification and the tracking to every article, the existence and the mobile condition of accurate record article.

Description

A signal intelligent perception method and system based on RFID

Technical Field

The present invention proposes a signal intelligent perception method and system based on RFID, belonging to the technical field of signal intelligent perception and warehousing logistics management.

Background Art

With the rapid development of the Internet of Things, signal intelligent sensing technology based on RFID (radio frequency identification) has gradually become one of the key technologies for realizing smart logistics, smart manufacturing, smart cities and other fields. RFID technology realizes automatic identification, positioning and tracking of objects through the recognition and transmission of wireless radio frequency signals, providing more efficient and accurate data collection and management methods for various industries.

With the help of RFID-based signal intelligent perception, the functions of automatic identification, positioning and tracking of items in the Internet of Things are realized. For example, in warehouse management, by applying RFID tags to goods, information such as the location, arrival time and departure time of the goods can be obtained in real time, thereby improving the accuracy and efficiency of inventory management.

Summary of the invention

The present invention provides a signal intelligent perception method and system based on RFID to solve the problems of low accuracy and efficiency of item management in the prior art:

The present invention proposes a signal intelligent perception method based on RFID, the method comprising:

S1: Arrange RFID reading and writing equipment in the area that needs to be sensed and set RFID tags on the items that need to be sensed;

S2: Connect the RFID reader/writer to the RFID tag via wireless connection. The RFID reader/writer sends wireless signals to communicate with the tag in the area and receives the signal transmitted by the RFID tag.

S3: The RFID reader/writer decodes the received signal and obtains the data information stored in the RFID; the data information includes the unique identifier and location information of the object;

S4: Decision making and control are performed based on the acquired data information, and the decision making and control include automatic tracking and item management.

Furthermore, the RFID reader/writer is arranged in the area to be sensed and the RFID tag is set on the object to be sensed, including:

S11: Obtain a layout diagram of the area to be sensed, where the layout diagram includes the size, shape, partitions, and possible obstructions or interference sources of the sensing area;

S12: Performing an RFID signal test in the sensing area using one or more RFID tags;

S13: Determine the best installation position of the RFID reader/writer according to the RFID signal test result;

S14: Develop an installation plan for RFID tags based on the characteristics and storage locations of the items;

S15: associating the commodity information corresponding to the RFID tag with the RFID tag through the inventory management system;

S16: After the association is completed, the RFID tag is set according to the storage location of the product.

Furthermore, the RFID reader/writer is connected to the RFID tag by wireless connection, the RFID reader/writer sends wireless signals, communicates with the tag in the area, and receives the signal transmitted by the RFID tag; including:

S21: The RFID reader/writer sends an electromagnetic wave signal to the surrounding sensing area through the antenna;

S22: The antenna in the RFID tag receives the electromagnetic wave signal from the RFID reader/writer and processes it through the circuit in the RFID chip;

S23: The circuit in the RFID chip analyzes the received signal and performs corresponding operations according to the set rules;

S24: After receiving the response signal from the RFID tag, the reader/writer sends a read command to request data from the tag;

S25: When the RFID tag receives the read instruction, it starts to respond to the device and sends the stored data information back to the RFID reading and writing device via wireless signals;

S26: The reading and writing device receives the tag signal sent by the RFID tag.

Furthermore, the RFID reader/writer decodes the received signal to obtain data information stored in the RFID; the data information includes a unique identifier and location information of the object; including:

S31: The RFID reader receives the signal sent back from the RFID tag and detects the leading bit;

S32: Convert the received signal into corresponding binary data according to the RFID standard and protocol;

S33: parsing the frame structure of the RFID signal according to the decoded binary data, where the frame structure includes a frame start character, a data field, and a checksum;

S34: extracting data information from the parsed frame structure;

S35: further process, analyze or convert the extracted data information into a computer-readable format.

Furthermore, the decision and control are performed based on the acquired data information, and the decision and control include automatic tracking and item management; including:

S41: Analyze and process the data obtained from the RFID signal and extract features, where the features include an identifier, location information, a timestamp, and attributes of the item;

S42: Analyze and model data through machine learning algorithms, and make decision plans based on the analysis results and actual needs;

S43: Perform decision execution and control operations in real-time data streams according to the established decision rules;

S44: Monitor the results of decision execution in real time and provide timely feedback to relevant personnel. Optimize and improve the system based on the feedback and evaluation results of decision execution.

The present invention proposes a signal intelligent perception system based on RFID, the system comprising:

Tag setting module: Arrange RFID reading and writing equipment in the area that needs to be sensed and set RFID tags on the items that need to be sensed;

Wireless connection module: connect the RFID reader/writer to the RFID tag through wireless connection. The RFID reader/writer sends wireless signals to communicate with the tags in the area and receives the signals transmitted by the RFID tags.

Signal decoding module: The RFID reader/writer decodes the received signal to obtain the data information stored in the RFID; the data information includes the unique identifier and location information of the object;

Decision-making and control module: Make decisions and controls based on the acquired data information, including automatic tracking and item management.

Furthermore, the label setting module includes:

Layout acquisition module: obtains the layout diagram of the area to be sensed, the layout diagram including the size, shape, partitions and possible obstructions or interference sources of the sensing area;

Signal test module: Use one or more RFID tags to perform RFID signal test in the sensing area;

Position determination module: Determine the best installation position of RFID reading and writing equipment according to the RFID signal test results;

Planning module: formulates the installation plan of RFID tags according to the characteristics and storage location of the items;

Information association module: associates the commodity information corresponding to the RFID tag with the RFID tag through the inventory management system;

Tag setting module: After the association is completed, RFID tags are set according to the storage location of the goods.

Furthermore, the wireless connection module includes:

Signal sending module: RFID reading and writing equipment sends electromagnetic wave signals to the surrounding sensing area through the antenna;

Circuit processing module: The antenna in the RFID tag receives the electromagnetic wave signal from the RFID reader and writer, and processes it through the circuit in the RFID chip;

Circuit analysis module: The circuit in the RFID chip analyzes the received signal and performs corresponding operations according to the set rules;

Data request module: After receiving the response signal from the RFID tag, the reader/writer sends a read command to request data from the tag;

Device response module: When the RFID tag receives the read command, it starts to respond to the device and sends the stored data information back to the RFID reading and writing device via wireless signals;

Tag receiving module: The reading and writing device receives the tag signal sent by the RFID tag.

Furthermore, the signal decoding module includes:

Leading bit detection module: The RFID reader/writer receives the signal sent back from the RFID tag and detects the leading bit;

Signal conversion module: converts the received signal into corresponding binary data according to RFID standards and protocols;

Frame structure parsing module: parses the frame structure of the RFID signal according to the decoded binary data, wherein the frame structure includes a frame start character, a data field and a checksum;

Data extraction module: extract data information from the parsed frame structure;

Format conversion module: further processes, analyzes or converts the extracted data information into a computer-readable format.

Furthermore, the decision control module includes:

Feature extraction module: Analyzes and processes the data obtained from the RFID signal and extracts features, including the identifier, location information, timestamp, and attributes of the item;

Analysis and modeling module: Analyze and model data through machine learning algorithms, and make decision plans based on analysis results and actual needs;

Decision-making and planning module: performs decision execution and control operations in real-time data streams according to the established decision rules;

Optimization and improvement module: monitor the results of decision execution in real time and provide timely feedback to relevant personnel, and optimize and improve the system based on the feedback and evaluation results of decision execution.

Beneficial effects of the present invention: By using RFID tags and reading and writing devices, automatic data collection of inventory items can be realized. There is no need to manually scan items one by one. RFID technology can quickly read the information of a large number of items and improve data collection efficiency; through RFID technology, each item can be uniquely identified and tracked, and the existence and movement of items can be accurately recorded. Compared with the traditional manual recording method, the possibility of human error is reduced, and the accuracy and reliability of data are improved; RFID tags can sense the entry and exit status of items in real time, and when items enter or leave the warehouse, the system can automatically update inventory information. In this way, inventory changes can be understood in a timely manner to avoid inventory shortages or excesses caused by errors; RFID technology can help quickly locate and track the location of inventory items. By arranging RFID reading and writing devices, the specific location information of items can be obtained in real time, improving the accuracy and efficiency of warehouse item management; using RFID technology, dynamic management and optimization of inventory items can be realized. Through real-time updated inventory information, demand forecasting, order management and replenishment planning can be better carried out, inventory backlogs can be reduced, and costs can be reduced.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a step diagram of a signal intelligent sensing method based on RFID according to the present invention.

DETAILED DESCRIPTION

In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

In the following description, many specific details are set forth to facilitate a full understanding of the present invention. The embodiments described are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

One embodiment of the present invention provides a signal intelligent sensing method based on RFID, the method comprising:

S1: Arrange RFID reading and writing equipment in the area that needs to be sensed and set RFID tags on the items that need to be sensed;

S2: Connect the RFID reader/writer to the RFID tag via wireless connection. The RFID reader/writer sends wireless signals to communicate with the tag in the area and receives the signal transmitted by the RFID tag.

S3: The RFID reader/writer decodes the received signal and obtains the data information stored in the RFID; the data information includes the unique identifier and location information of the object;

S4: Decision making and control are performed based on the acquired data information, and the decision making and control include automatic tracking and item management.

The working principle of the above technical solution is as follows: in the area that needs to be sensed, RFID reading and writing devices are arranged and RFID tags are attached to the items that need to be sensed; each item has a unique RFID tag; the RFID reading and writing device is connected to the RFID tag through a wireless connection. The RFID reading and writing device will send wireless signals and communicate with the RFID tags in the area. This communication method can be passive RFID or active RFID; after the RFID reading and writing device receives the signal transmitted by the RFID tag, it will decode the signal and extract the data information stored in the RFID tag. This data information may include the unique identifier of the object (such as a serial number) and location information (such as coordinates or area identification); based on the acquired data information, the system can make corresponding decisions and controls. For example, the acquired location information can be used to realize the function of automatically tracking items, or to manage items according to identifiers, such as inventory management, replenishment planning, etc.

The effects of the above technical solution are as follows: by arranging RFID reading and writing devices and setting RFID tags, the system can automatically sense the existence and location of items; without manual intervention, the perception efficiency and accuracy are greatly improved; the RFID perception system can obtain the unique identifier and location information of the item in real time, making the update of inventory data more timely and accurate; it helps to reduce the occurrence of out-of-stock or overstock situations and improve the accuracy of inventory management; the functions of automatic tracking and item management can help enterprises reduce manual operations, simplify processes, and improve work efficiency. The positioning and allocation of inventory goods are faster and more accurate, which promotes the efficient operation of the logistics supply chain; traditional manual inventory management is prone to human errors, while the RFID perception system can greatly reduce errors and losses caused by human factors; through automated tracking, any abnormal situation can be discovered and corrected in time, reducing the risk of inventory loss and theft; the data generated by the RFID perception system can be used for data analysis and decision support. By analyzing a large amount of inventory data, we can better understand inventory demand and trends, thereby making reasonable supply chain management and optimizing decisions; accurately tracking the location and status of items can improve customer satisfaction. Customers can instantly obtain information about items, understand their distribution status, and improve delivery speed and accuracy.

In one embodiment of the present invention, the RFID reader/writer is arranged in the area to be sensed and the RFID tag is set on the object to be sensed, including:

S11: Obtain a layout diagram of the area to be sensed, where the layout diagram includes the size, shape, partitions, and possible obstructions or interference sources of the sensing area;

S12: Performing an RFID signal test in the sensing area using one or more RFID tags;

S13: Determine the best installation position of the RFID reader/writer according to the RFID signal test result;

S14: Develop an installation plan for RFID tags based on the characteristics and storage locations of the items;

S15: associating the commodity information corresponding to the RFID tag with the RFID tag through the inventory management system;

S16: After the association is completed, the RFID tag is set according to the storage location of the product.

The working principle of the above technical solution is as follows: first, it is necessary to obtain a layout diagram of the area to be sensed; the layout diagram includes the size, shape, partitions, and possible obstructions or interference sources of the sensing area; one or more RFID tags are used in the sensing area to perform RFID signal testing. By testing the signal strength and transmission distance at different locations, the transmission range and transmission quality of the RFID signal are determined; based on the results of the RFID signal test, the best installation location of the RFID reader and writer is determined. Select those locations that can provide the best signal coverage and transmission quality in the entire sensing area; formulate an installation plan for the RFID tag based on the characteristics and storage location of the item. Considering the size, material, and storage method of the item, determine where to install the RFID tag on the item to ensure signal reliability; through the inventory management system, associate the commodity information corresponding to the RFID tag with the RFID tag. Each RFID tag corresponds to a unique commodity information, including commodity code, name, specification, quantity, etc.; after the association is completed, the RFID tag is set according to the storage location of the commodity. The RFID tag is pasted or fixed on the corresponding item. For example, assume that the warehouse is a rectangular space divided into several rows and columns, and there are some pillars and goods stacked. Select several key locations in the sensing area for RFID signal testing. The center of each partition or the midpoint of each row or column may be selected. RFID reading and writing devices are installed at these locations, and several items are equipped with RFID tags, which represent the types of goods commonly found in the warehouse. Based on the results of the RFID signal test, we can determine the best location for installing the RFID reading and writing devices. By analyzing the signal strength and coverage, we can determine which locations can most effectively sense all items marked with RFID tags. It may be necessary to adjust the placement of the equipment or increase the number of equipment to ensure coverage of the entire sensing area. The hypothetical warehouse stores a variety of different types of goods, including electronic products and food. Electronic products are usually small and need to avoid interference with metal or electronic equipment. To ensure that the RFID tag can be read effectively, the tag can be installed on the packaging box of the electronic product or on the internal foam protective layer. This will not affect the normal use of the goods, but also ensure the readability of the tag. For food, the hygiene and waterproof performance of the tag need to be considered. Usually, you can choose an RFID tag with a waterproof protective shell and stick it on the food packaging, or use a food-grade RFID sticker to ensure the durability and hygiene of the tag.

The effect of the above technical solution is: by using RFID technology for automated sensing and tracking, the efficiency of item management and tracking can be greatly improved. Compared with manual inventory and search, RFID technology can quickly and accurately obtain the location and information of items; manual inventory and search are prone to human errors, such as misremembering the product code or missing certain items. The use of RFID technology can avoid these errors and improve the accuracy and reliability of data; through RFID technology, the situation of items in the sensing area can be monitored in real time. Whether it is in or out of the warehouse, the location and status of the items can be quickly obtained, and the data in the inventory management system can be updated in time; RFID technology can help prevent the loss and theft of items. When an item leaves the sensing area, the system can immediately issue an alarm to remind the staff to handle it and ensure the safety of the items; by analyzing the layout diagram of the sensing area and the RFID signal test results, the best installation position of the RFID reading and writing equipment can be determined; it helps to optimize the warehouse layout and improve the efficiency of space utilization.

In one embodiment of the present invention, the RFID reader/writer is connected to the RFID tag by wireless connection, the RFID reader/writer sends a wireless signal, communicates with the tag in the area, and receives the signal transmitted by the RFID tag; including:

S21: The RFID reader/writer sends an electromagnetic wave signal to the surrounding sensing area through the antenna; the signal includes a radio frequency, such as 125kHz, 13.56MHz or UHF;

S22: The antenna in the RFID tag receives the electromagnetic wave signal from the RFID reader/writer and processes it through the circuit in the RFID chip;

S23: The circuit in the RFID chip analyzes the received signal and performs corresponding operations according to the set rules; for example, if it is a read-only tag, it may only return the information stored in the tag; if it is a read-write tag, it may receive and process instructions from the read-write device to read or write data on the tag.

S24: After receiving the response signal from the RFID tag, the reader/writer sends a read command to request data from the tag;

S25: When the RFID tag receives the read instruction, it starts to respond to the device and sends the stored data information back to the RFID reading and writing device via wireless signals;

S26: The reading and writing device receives the tag signal sent by the RFID tag.

The working principle of the above technical solution is as follows: the RFID reader/writer sends electromagnetic wave signals of a specific frequency, such as 125kHz, 13.56MHz or UHF, to the surrounding sensing area through the antenna. These signals can penetrate the air and non-metallic materials and propagate to the surrounding area. The antenna in the RFID tag receives the electromagnetic wave signal sent by the RFID reader/writer. The antenna transmits the received signal to the circuit in the RFID chip. The circuit in the RFID chip parses the received signal and performs corresponding operations according to preset rules. For read-only tags, the chip may only return the information stored in the tag. For read-write tags, the chip can receive and process instructions from the reader/writer device, such as reading or writing data. After receiving the response signal from the RFID tag, the reader/writer device requests data from the tag by sending a read instruction. The circuit in the reader/writer device converts the instruction into a corresponding wireless signal. When the RFID tag receives the read instruction, it starts to respond to the device and sends the stored data information back to the RFID reader/writer device via a wireless signal. The circuit in the tag converts the data into a corresponding signal for transmission. The reader/writer device receives and parses the signal sent back from the RFID tag to obtain the required data information. The circuit in the device can identify and decode the received signal.

The effects of the above technical solution are: through wireless connection, the limitations and inconveniences brought by traditional wired connections can be eliminated, and the flexibility and mobility of the equipment can be improved; the RFID reading and writing equipment realizes efficient two-way communication by sending electromagnetic wave signals and receiving response signals from the tags; enabling the equipment to quickly read the data on the tags or send instructions to the tags. The immediacy and accuracy of communication help improve work efficiency; the chip in the RFID tag can parse the received signals and perform corresponding operations according to the set rules. Whether it is a read-only tag or a read-write tag, it can return the information stored in the tag or read and write data according to the rules. This automated data processing capability simplifies the operation process and avoids errors caused by manual intervention; the RFID tag can send the stored data information back to the RFID reading and writing device through wireless signals. This wireless transmission method does not require physical contact and can achieve rapid data transmission and sharing within a certain range. In addition, the data in the tag can be stored for a long time, which is convenient for subsequent access and query.

In one embodiment of the present invention, the RFID reader/writer decodes the received signal to obtain data information stored in the RFID; the data information includes a unique identifier and location information of the object; including:

S31: The RFID reader/writer receives the signal sent back from the RFID tag and detects the leading bit; the leading bit is used to synchronize and identify a series of specific bits at the beginning of the signal.

S32: Convert the received signal into corresponding binary data according to the RFID standard and protocol;

S33: parsing the frame structure of the RFID signal according to the decoded binary data, where the frame structure includes a frame start character, a data field, and a checksum;

S34: extracting data information from the parsed frame structure; the data information includes a unique identifier, location information or other auxiliary information of the object;

S35: further process, analyze or convert the extracted data information into a computer-readable format, such as text or a specific data structure.

The working principle of the above technical solution is as follows: the RFID reading and writing device receives the signal sent back from the RFID tag through the antenna. Before receiving the signal, the device first detects the leading bit; the leading bit is used to synchronize and identify a series of specific bits at the beginning of the signal; according to the RFID standard and protocol, the device converts the received signal into corresponding binary data. Including converting the wireless signal into a digital signal for subsequent parsing and processing; according to the decoded binary data, the device parses the frame structure of the RFID signal. The frame structure includes a frame start character, a data field, and a checksum. By parsing the frame structure, the device can determine the meaning and position of each part; extract the required data information from the parsed frame structure. The extraction process depends on the specific application scenario and the design of the RFID tag; including the unique identifier of the object, location information or other ancillary information; the extracted data information may need to be further processed, parsed or converted into a computer-readable format. For example, convert it into text or a specific data structure to facilitate subsequent storage, analysis or application.

The effects of the above technical solution are: by decoding the signal and converting it into binary data according to the standard protocol, the accuracy and consistency of the data can be ensured; the situation of inaccurate data due to manual operation or transmission errors can be avoided; the RFID reading and writing equipment can quickly receive, decode and extract data information to achieve real-time acquisition of the object's unique identifier and location information. This is very important for business scenarios that require instant tracking and positioning, such as logistics management, asset tracking, etc.; the whole process is automated without human intervention, thereby improving the efficiency and accuracy of data processing. This reduces the possibility of human error and saves the cost and time of human resources; by parsing the frame structure of the RFID signal and performing checksum verification, the integrity and consistency of the data can be ensured. This makes the data more reliable and reduces problems caused by data corruption or loss; the extracted data information can be further processed, parsed or converted into a computer-readable format, such as text or a specific data structure, as needed. This allows the data to be easily integrated with other systems and supports a wider range of applications.

In one embodiment of the present invention, the decision and control are performed based on the acquired data information, and the decision and control include automatic tracking and item management; including:

S41: Analyze and process the data obtained from the RFID signal and extract features, where the features include an identifier, location information, a timestamp, and attributes of the item;

S42: Analyze and model data through machine learning algorithms, and formulate decision plans based on analysis results and actual needs; including setting thresholds, defining logical judgment conditions, and formulating rule engines;

S43: Decision execution and control operations are performed in real-time data streams according to established decision rules; including scheduling, instruction sending, equipment control, etc. according to item status and location information.

S44: Monitor the results of decision execution in real time and provide timely feedback to relevant personnel, and optimize and improve the system based on the feedback and evaluation results of decision execution. The calculation formula of the evaluation result is:

Among them, P _result is the evaluation result of decision execution, H _α is the preset weight of location information, is the B _a- th position information, is the preset evaluation function for the Ba _-th position information, the value range of _Ba is an integer greater than or equal to 1 and less than or equal to n, H _β is the preset weight of the data collection information, Collect information for the _Bβth data, is a preset function for evaluating the B _βth data collection information, the value range of B _β is an integer greater than or equal to 1 and less than or equal to m, n is the number of parameters of the position information, and m is the number of parameters of the data collection information.

The working principle of the above technical solution is: the system obtains data from RFID signals and analyzes and processes it. Different algorithms can be used to process and extract features of data for different application scenarios. For example, clustering algorithms can be used to identify the classification and location of items, or time series analysis algorithms can be used to predict the trajectory and status of items; by applying machine learning algorithms, the processed data can be further analyzed and modeled; it helps the system to better understand the status and behavior of items, as well as predict and control them. Decision plans are made based on the analysis results and actual needs. For example, in an item tracking system, a threshold can be set to trigger an alarm or automatic scheduling instructions when an item deviates from a preset position by more than a certain range. For example, based on historical data and machine learning models, a logical judgment condition can be set to trigger an alarm or take corresponding control measures when an item is lost continuously or exhibits abnormal behavior. For example, different rule engines are formulated based on the category and attributes of items to guide the management and processing of items. These rules can include the processing flow, storage requirements, safety measures, etc. of specified items; according to the formulated decision rules, decision execution and control operations are performed in real-time data streams. The system performs dispatching, command sending, and equipment control operations based on the status and location information of the items to achieve the goal of automatic tracking and item management. The system monitors the results of decision execution in real time and promptly conveys feedback information to relevant personnel. This allows timely understanding of the effects of decisions, so that the system can be optimized and improved based on feedback and evaluation results.

The effect of the above technical solution is: by analyzing and modeling data through machine learning algorithms, the system can automatically track and manage items, reduce the need for manual intervention, and improve the accuracy of operations. Since data processing and decision planning are based on real-time information, the system can make decisions and control operations quickly to reduce manual errors; the system can monitor the results of decision execution in real time and convey feedback information to relevant personnel in a timely manner; it can enable managers to understand the effects of decisions in a timely manner, find problems and take corresponding measures. At the same time, by continuously collecting feedback and evaluating results, the system can be optimized and improved to improve the overall effect and performance; by analyzing and modeling data through machine learning algorithms, the system can identify the characteristics and behavior patterns of items. Based on this information, decision plans that meet actual needs can be formulated, such as setting thresholds, defining logical judgment conditions, and formulating rule engines. This can respond to various situations more flexibly and improve the intelligence of the entire item management system; through automated tracking and item management, work efficiency can be greatly improved. The system can make decisions and control operations in real-time data streams, reducing the time and cost of manual operations. At the same time, accurate item tracking and management also help reduce the loss or damage of items, reducing costs and risks. The above formula can comprehensively consider the impact of different information, flexibly adjust to different scenarios, monitor the decision execution results in real time and optimize them; it helps to improve the quality and efficiency of decision execution, meet actual needs and improve the overall performance of the system. At the same time, the preset weight H _α of location information and the preset weight H _β of data collection information are used in the formula; the impact of different information on the decision execution results can be comprehensively considered. By setting the weights reasonably, more important or more valuable information can occupy a larger proportion in the evaluation results; the features covered in the formula include the identifier, location information, timestamp and attributes of the item, etc., which are of great significance for decision execution. Through feature extraction and comprehensive evaluation, information from all aspects can be comprehensively considered and quantified into the evaluation result P _result ; the parameters in the formula can be adjusted according to actual needs, such as the preset weights H _α and H _β , the evaluation preset function, and the number of parameters n and m. In this way, the formula can be adapted to different scenarios and tasks, and can be flexibly adjusted according to actual conditions, so as to obtain more accurate and effective evaluation results; by monitoring the results of decision execution in real time and providing timely feedback to relevant personnel, the decision execution process can be tracked and monitored. Based on the feedback and evaluation results, the system can be optimized and improved to further improve the effectiveness and accuracy of decision-making execution.

One embodiment of the present invention is a signal intelligent sensing system based on RFID, the system comprising:

Tag setting module: Arrange RFID reading and writing equipment in the area that needs to be sensed and set RFID tags on the items that need to be sensed;

Wireless connection module: connect the RFID reader/writer to the RFID tag through wireless connection. The RFID reader/writer sends wireless signals to communicate with the tags in the area and receives the signals transmitted by the RFID tags.

Signal decoding module: The RFID reader/writer decodes the received signal to obtain the data information stored in the RFID; the data information includes the unique identifier and location information of the object;

Decision-making and control module: Make decisions and controls based on the acquired data information, including automatic tracking and item management.

The working principle of the above technical solution is as follows: in the area that needs to be sensed, RFID reading and writing devices are arranged and RFID tags are attached to the items that need to be sensed; each item has a unique RFID tag; the RFID reading and writing device is connected to the RFID tag through a wireless connection. The RFID reading and writing device will send wireless signals and communicate with the RFID tags in the area. This communication method can be passive RFID or active RFID; after the RFID reading and writing device receives the signal transmitted by the RFID tag, it will decode the signal and extract the data information stored in the RFID tag. This data information may include the unique identifier of the object (such as a serial number) and location information (such as coordinates or area identification); based on the acquired data information, the system can make corresponding decisions and controls. For example, the acquired location information can be used to realize the function of automatically tracking items, or to manage items according to identifiers, such as inventory management, replenishment planning, etc.

The effects of the above technical solution are as follows: by arranging RFID reading and writing devices and setting RFID tags, the system can automatically sense the existence and location of items; without manual intervention, the perception efficiency and accuracy are greatly improved; the RFID perception system can obtain the unique identifier and location information of the item in real time, making the update of inventory data more timely and accurate; it helps to reduce the occurrence of out-of-stock or overstock situations and improve the accuracy of inventory management; the functions of automatic tracking and item management can help enterprises reduce manual operations, simplify processes, and improve work efficiency. The positioning and allocation of inventory goods are faster and more accurate, which promotes the efficient operation of the logistics supply chain; traditional manual inventory management is prone to human errors, while the RFID perception system can greatly reduce errors and losses caused by human factors; through automated tracking, any abnormal situation can be discovered and corrected in time, reducing the risk of inventory loss and theft; the data generated by the RFID perception system can be used for data analysis and decision support. By analyzing a large amount of inventory data, we can better understand inventory demand and trends, thereby making reasonable supply chain management and optimizing decisions; accurately tracking the location and status of items can improve customer satisfaction. Customers can instantly obtain information about items, understand their distribution status, and improve delivery speed and accuracy.

In one embodiment of the present invention, the label setting module includes:

Layout acquisition module: obtains the layout diagram of the area to be sensed, the layout diagram including the size, shape, partitions and possible obstructions or interference sources of the sensing area;

Signal test module: Use one or more RFID tags to perform RFID signal test in the sensing area;

Position determination module: Determine the best installation position of RFID reading and writing equipment according to the RFID signal test results;

Planning module: formulates the installation plan of RFID tags according to the characteristics and storage location of the items;

Information association module: associates the commodity information corresponding to the RFID tag with the RFID tag through the inventory management system;

Tag setting module: After the association is completed, RFID tags are set according to the storage location of the goods.

The working principle of the above technical solution is as follows: first, it is necessary to obtain a layout diagram of the area to be sensed; the layout diagram includes the size, shape, partitions, and possible obstructions or interference sources of the sensing area; one or more RFID tags are used in the sensing area to perform RFID signal testing. By testing the signal strength and transmission distance at different locations, the transmission range and transmission quality of the RFID signal are determined; based on the results of the RFID signal test, the best installation location of the RFID reader and writer is determined. Select those locations that can provide the best signal coverage and transmission quality in the entire sensing area; formulate an installation plan for the RFID tag based on the characteristics and storage location of the item. Considering the size, material, and storage method of the item, determine where to install the RFID tag on the item to ensure signal reliability; through the inventory management system, associate the commodity information corresponding to the RFID tag with the RFID tag. Each RFID tag corresponds to a unique commodity information, including commodity code, name, specification, quantity, etc.; after the association is completed, the RFID tag is set according to the storage location of the commodity. The RFID tag is pasted or fixed on the corresponding item. For example, assume that the warehouse is a rectangular space divided into several rows and columns, and there are some pillars and goods stacked. Select several key locations in the sensing area for RFID signal testing. The center of each partition or the midpoint of each row or column may be selected. RFID reading and writing devices are installed at these locations, and several items are equipped with RFID tags, which represent the types of goods commonly found in the warehouse. Based on the results of the RFID signal test, we can determine the best location for installing the RFID reading and writing devices. By analyzing the signal strength and coverage, we can determine which locations can most effectively sense all items marked with RFID tags. It may be necessary to adjust the placement of the equipment or increase the number of equipment to ensure coverage of the entire sensing area. The hypothetical warehouse stores a variety of different types of goods, including electronic products and food. Electronic products are usually small and need to avoid interference with metal or electronic equipment. To ensure that the RFID tag can be read effectively, the tag can be installed on the packaging box of the electronic product or on the internal foam protective layer. This will not affect the normal use of the goods, but also ensure the readability of the tag. For food, the hygiene and waterproof performance of the tag need to be considered. Usually, you can choose an RFID tag with a waterproof protective shell and stick it on the food packaging, or use a food-grade RFID sticker to ensure the durability and hygiene of the tag.

The effect of the above technical solution is: by using RFID technology for automated sensing and tracking, the efficiency of item management and tracking can be greatly improved. Compared with manual inventory and search, RFID technology can quickly and accurately obtain the location and information of items; manual inventory and search are prone to human errors, such as misremembering the product code or missing certain items. The use of RFID technology can avoid these errors and improve the accuracy and reliability of data; through RFID technology, the situation of items in the sensing area can be monitored in real time. Whether it is in or out of the warehouse, the location and status of the items can be quickly obtained, and the data in the inventory management system can be updated in time; RFID technology can help prevent the loss and theft of items. When an item leaves the sensing area, the system can immediately issue an alarm to remind the staff to handle it and ensure the safety of the items; by analyzing the layout diagram of the sensing area and the RFID signal test results, the best installation location of the RFID reading and writing equipment can be determined; it helps to optimize the warehouse layout and improve the efficiency of space utilization.

In one embodiment of the present invention, the wireless connection module includes:

Signal transmission module: The RFID reader/writer sends electromagnetic wave signals to the surrounding sensing area through the antenna; the signal includes a radio frequency, such as 125kHz, 13.56MHz or UHF;

Circuit processing module: The antenna in the RFID tag receives the electromagnetic wave signal from the RFID reader and writer, and processes it through the circuit in the RFID chip;

Circuit parsing module: The circuit in the RFID chip parses the received signal and performs corresponding operations according to the set rules; for example, if it is a read-only tag, it may only return the information stored in the tag; if it is a read-write tag, it may receive and process instructions from the read-write device to read or write data on the tag.

Data request module: After receiving the response signal from the RFID tag, the reader/writer sends a read command to request data from the tag;

Device response module: When the RFID tag receives the read command, it starts to respond to the device and sends the stored data information back to the RFID reading and writing device via wireless signals;

Tag receiving module: The reading and writing device receives the tag signal sent by the RFID tag.

The working principle of the above technical solution is as follows: the RFID reader/writer sends electromagnetic wave signals of a specific frequency, such as 125kHz, 13.56MHz or UHF, to the surrounding sensing area through the antenna. These signals can penetrate the air and non-metallic materials and propagate to the surrounding area. The antenna in the RFID tag receives the electromagnetic wave signal sent by the RFID reader/writer. The antenna transmits the received signal to the circuit in the RFID chip. The circuit in the RFID chip parses the received signal and performs corresponding operations according to preset rules. For read-only tags, the chip may only return the information stored in the tag. For read-write tags, the chip can receive and process instructions from the reader/writer device, such as reading or writing data. After receiving the response signal from the RFID tag, the reader/writer device requests data from the tag by sending a read instruction. The circuit in the reader/writer device converts the instruction into a corresponding wireless signal. When the RFID tag receives the read instruction, it starts to respond to the device and sends the stored data information back to the RFID reader/writer device via a wireless signal. The circuit in the tag converts the data into a corresponding signal for transmission. The reader/writer device receives and parses the signal sent back from the RFID tag to obtain the required data information. The circuit in the device can identify and decode the received signal.

The effects of the above technical solution are: through wireless connection, the limitations and inconveniences brought by traditional wired connections can be eliminated, and the flexibility and mobility of the equipment can be improved; the RFID reading and writing equipment realizes efficient two-way communication by sending electromagnetic wave signals and receiving response signals from the tags; enabling the equipment to quickly read the data on the tags or send instructions to the tags. The immediacy and accuracy of communication help improve work efficiency; the chip in the RFID tag can parse the received signals and perform corresponding operations according to the set rules. Whether it is a read-only tag or a read-write tag, it can return the information stored in the tag or read and write data according to the rules. This automated data processing capability simplifies the operation process and avoids errors caused by manual intervention; the RFID tag can send the stored data information back to the RFID reading and writing device through wireless signals. This wireless transmission method does not require physical contact and can achieve rapid data transmission and sharing within a certain range. In addition, the data in the tag can be stored for a long time, which is convenient for subsequent access and query.

In one embodiment of the present invention, the signal decoding module includes:

Leading bit detection module: The RFID reader/writer receives the signal sent back from the RFID tag and detects the leading bit; the leading bit is used to synchronize and identify a series of specific bits at the beginning of the signal.

Signal conversion module: converts the received signal into corresponding binary data according to RFID standards and protocols;

Frame structure parsing module: parses the frame structure of the RFID signal according to the decoded binary data, wherein the frame structure includes a frame start character, a data field and a checksum;

Data extraction module: extracting data information from the parsed frame structure; the data information includes a unique identifier, location information or other ancillary information of the object;

Format conversion module: further processes, analyzes or converts the extracted data information into a computer-readable format, such as text or a specific data structure.

The working principle of the above technical solution is as follows: the RFID reading and writing device receives the signal sent back from the RFID tag through the antenna. Before receiving the signal, the device first detects the leading bit; the leading bit is used to synchronize and identify a series of specific bits at the beginning of the signal; according to the RFID standard and protocol, the device converts the received signal into corresponding binary data. Including converting the wireless signal into a digital signal for subsequent parsing and processing; according to the decoded binary data, the device parses the frame structure of the RFID signal. The frame structure includes a frame start character, a data field, and a checksum. By parsing the frame structure, the device can determine the meaning and position of each part; extract the required data information from the parsed frame structure. The extraction process depends on the specific application scenario and the design of the RFID tag; including the unique identifier of the object, location information or other ancillary information; the extracted data information may need to be further processed, parsed or converted into a computer-readable format. For example, convert it into text or a specific data structure to facilitate subsequent storage, analysis or application.

The effects of the above technical solution are: by decoding the signal and converting it into binary data according to the standard protocol, the accuracy and consistency of the data can be ensured; the situation of inaccurate data due to manual operation or transmission errors can be avoided; the RFID reading and writing equipment can quickly receive, decode and extract data information to achieve real-time acquisition of the object's unique identifier and location information. This is very important for business scenarios that require instant tracking and positioning, such as logistics management, asset tracking, etc.; the whole process is automated without human intervention, thereby improving the efficiency and accuracy of data processing. This reduces the possibility of human error and saves the cost and time of human resources; by parsing the frame structure of the RFID signal and performing checksum verification, the integrity and consistency of the data can be ensured. This makes the data more reliable and reduces problems caused by data corruption or loss; the extracted data information can be further processed, parsed or converted into a computer-readable format, such as text or a specific data structure, as needed. This allows the data to be easily integrated with other systems and supports a wider range of applications.

In one embodiment of the present invention, the decision control module includes:

Feature extraction module: analyzes and processes the data obtained from the RFID signal and extracts features, including the identifier, location information, timestamp and attributes of the item;

Analysis and modeling module: Analyze and model data through machine learning algorithms, and formulate decision plans based on the analysis results and actual needs; for example: this may involve setting thresholds, defining logical judgment conditions, formulating rule engines, etc.

Decision-making and planning module: Execute decisions and control operations in real-time data streams based on established decision rules; including scheduling, sending instructions, and controlling equipment based on item status and location information.

Optimization and improvement module: monitor the results of decision execution in real time and provide timely feedback to relevant personnel, and optimize and improve the system based on the feedback and evaluation results of decision execution.

The calculation formula of the evaluation result is:

Among them, P _result is the evaluation result of decision execution, H _α is the preset weight of location information, is the B _a- th position information, is the preset evaluation function for the Ba _-th position information, the value range of _Ba is an integer greater than or equal to 1 and less than or equal to n, H _β is the preset weight of the data collection information, Collect information for the _Bβth data, is a preset function for evaluating the B _βth data collection information, the value range of B _β is an integer greater than or equal to 1 and less than or equal to m, n is the number of parameters of the position information, and m is the number of parameters of the data collection information.

The working principle of the above technical solution is: the system obtains data from RFID signals and analyzes and processes it. Different algorithms can be used to process and extract features of data for different application scenarios. For example, clustering algorithms can be used to identify the classification and location of items, or time series analysis algorithms can be used to predict the trajectory and status of items; by applying machine learning algorithms, the processed data can be further analyzed and modeled; it helps the system to better understand the status and behavior of items, as well as predict and control them. Decision plans are made based on the analysis results and actual needs. For example, in an item tracking system, a threshold can be set to trigger an alarm or automatic scheduling instructions when an item deviates from a preset position by more than a certain range. For example, based on historical data and machine learning models, a logical judgment condition can be set to trigger an alarm or take corresponding control measures when an item is lost continuously or exhibits abnormal behavior. For example, different rule engines are formulated based on the category and attributes of items to guide the management and processing of items. These rules can include the processing flow, storage requirements, safety measures, etc. of specified items; according to the formulated decision rules, decision execution and control operations are performed in real-time data streams. The system performs dispatching, command sending, and equipment control operations based on the status and location information of the items to achieve the goal of automatic tracking and item management. The system monitors the results of decision execution in real time and promptly conveys feedback information to relevant personnel. This allows timely understanding of the effects of decisions, so that the system can be optimized and improved based on feedback and evaluation results.

The effect of the above technical solution is: by analyzing and modeling data through machine learning algorithms, the system can automatically track and manage items, reduce the need for manual intervention, and improve the accuracy of operations. Since data processing and decision planning are based on real-time information, the system can make decisions and control operations quickly to reduce manual errors; the system can monitor the results of decision execution in real time and convey feedback information to relevant personnel in a timely manner; it can enable managers to understand the effects of decisions in a timely manner, find problems and take corresponding measures. At the same time, by continuously collecting feedback and evaluating results, the system can be optimized and improved to improve the overall effect and performance; by analyzing and modeling data through machine learning algorithms, the system can identify the characteristics and behavior patterns of items. Based on this information, decision plans that meet actual needs can be formulated, such as setting thresholds, defining logical judgment conditions, and formulating rule engines. This can respond to various situations more flexibly and improve the intelligence of the entire item management system; through automated tracking and item management, work efficiency can be greatly improved. The system can make decisions and control operations in real-time data streams, reducing the time and cost of manual operations. At the same time, accurate item tracking and management also help reduce the loss or damage of items, reducing costs and risks. The above formula can comprehensively consider the impact of different information, flexibly adjust to different scenarios, monitor the decision execution results in real time and optimize them; it helps to improve the quality and efficiency of decision execution, meet actual needs and improve the overall performance of the system. At the same time, the preset weight H _α of location information and the preset weight H _β of data collection information are used in the formula; the impact of different information on the decision execution results can be comprehensively considered. By setting the weights reasonably, more important or more valuable information can occupy a larger proportion in the evaluation results; the features covered in the formula include the identifier, location information, timestamp and attributes of the item, etc., which are of great significance for decision execution. Through feature extraction and comprehensive evaluation, information from all aspects can be comprehensively considered and quantified into the evaluation result P _result ; the parameters in the formula can be adjusted according to actual needs, such as the preset weights H _α and H _β , the evaluation preset function, and the number of parameters n and m. In this way, the formula can be adapted to different scenarios and tasks, and can be flexibly adjusted according to actual conditions, so as to obtain more accurate and effective evaluation results; by monitoring the results of decision execution in real time and providing timely feedback to relevant personnel, the decision execution process can be tracked and monitored. Based on the feedback and evaluation results, the system can be optimized and improved to further improve the effectiveness and accuracy of decision-making execution.

Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims (10)

1. An RFID-based signal intelligent sensing method, characterized in that the method includes: S1: In the area that needs to be sensed, arrange RFID reading and writing equipment and set RFID tags on the items that need to be sensed; S2: Connect the RFID reading and writing device to the RFID tag through wireless connection. The RFID reading and writing device sends wireless signals, communicates with tags in the area, and receives the signals transmitted by the RFID tag; S3: The RFID reading and writing device decodes the received signal and obtains the data information stored in the RFID; the data information includes the unique identifier and location information of the object; S4: Make decisions and control based on the obtained data information, including automatic tracking and item management. 2. An RFID-based signal intelligent sensing method according to claim 1, characterized in that, in the area that needs to be sensed, RFID reading and writing equipment is arranged and RFID tags are set on items that need to be sensed, including: S11: Obtain the layout diagram of the area to be sensed, which includes the size, shape, partitions, and possible obstructions or interference sources of the sensing area; S12: Use one or more RFID tags to conduct RFID signal testing in the sensing area; S13: Based on the RFID signal test results, determine the best installation location of the RFID reading and writing equipment; S14: Develop an installation plan for RFID tags based on the characteristics and storage location of the items; S15: And associate the product information corresponding to the RFID tag with the RFID tag through the inventory management system; S16: After the association is completed, set the RFID tag according to the storage location of the product. 3. An RFID-based signal intelligent sensing method according to claim 1, characterized in that the RFID reading and writing device is connected to the RFID tag through a wireless connection, and the RFID reading and writing device sends a wireless signal to communicate with the area. The tags communicate and receive the signals transmitted by the RFID tags, including: S21: The RFID reading and writing device sends electromagnetic wave signals to the surrounding sensing area through the antenna; S22: The antenna in the RFID tag receives the electromagnetic wave signal from the RFID reading and writing device and processes it through the circuit in the RFID chip; S23: The circuit in the RFID chip analyzes the received signal and performs corresponding operations according to the set rules; S24: After receiving the response signal from the RFID tag, the reading and writing device requests data from the tag by sending a read instruction; S25: When the RFID tag receives the read command, it begins to respond to the device and sends the stored data information back to the RFID reading and writing device through wireless signals; S26: The reading and writing device receives the tag signal sent by the RFID tag. 4. An RFID-based signal intelligent sensing method according to claim 1, characterized in that the RFID reading and writing device decodes the received signal and obtains the data information stored in the RFID; the data information includes objects unique identifier and location information, including: S31: The RFID reading and writing device receives the signal sent back from the RFID tag and detects the leading bit; S32: Convert the received signal into corresponding binary data according to RFID standards and protocols; S33: Analyze the frame structure of the RFID signal according to the decoded binary data. The frame structure includes the frame start symbol, data field and checksum; S34: Extract data information from the parsed frame structure; S35: Further process, parse or convert the extracted data information into a computer-readable format. 5. An RFID-based signal intelligent sensing method according to claim 1, characterized in that the decision-making and control are performed based on the acquired data information, and the decision-making and control include automatic tracking and item management, including: S41: Analyze and process the data obtained from the RFID signal, and extract features. The features include the identifier, location information, timestamp and attributes of the item; S42: Analyze and model data through machine learning algorithms, and formulate decision-making plans based on the analysis results and actual needs; S43: Carry out decision execution and control operations in real-time data flow according to the established decision rules; S44: Monitor the results of decision execution in real time and provide timely feedback to relevant personnel. Based on the feedback and evaluation results of decision execution, optimize and improve the system. 6. An RFID-based signal intelligent sensing system, characterized in that the system includes: Tag setting module: Arrange RFID reading and writing devices in the area that needs to be sensed and set RFID tags on the items that need to be sensed; Wireless connection module: Connect the RFID reading and writing device to the RFID tag through wireless connection. The RFID reading and writing device sends wireless signals, communicates with tags in the area, and receives the signals transmitted by the RFID tag; Signal decoding module: The RFID reading and writing device decodes the received signal and obtains the data information stored in the RFID; the data information includes the unique identifier and location information of the object; Decision-making control module: performs decision-making and control based on the acquired data information, including automatic tracking and item management. 7. An RFID-based signal intelligent sensing system according to claim 6, characterized in that the tag setting module includes: Layout acquisition module: obtains the layout map of the area that needs to be sensed, which includes the size, shape, partitions, and possible obstructions or interference sources of the sensing area; Signal test module: Use one or more RFID tags to perform RFID signal testing in the sensing area; Position determination module: Determine the best installation location of the RFID reading and writing equipment based on the RFID signal test results; Plan making module: Make an installation plan for RFID tags based on the characteristics of the items and their storage locations; Information association module: and associates the product information corresponding to the RFID tag with the RFID tag through the inventory management system; Tag setting module: After the association is completed, set the RFID tag according to the storage location of the product. 8. An RFID-based signal intelligent sensing system according to claim 6, characterized in that the wireless connection module includes: Signal sending module: RFID reading and writing equipment sends electromagnetic wave signals to the surrounding sensing area through the antenna; Circuit processing module: The antenna in the RFID tag receives the electromagnetic wave signal from the RFID reading and writing device and processes it through the circuit in the RFID chip; Circuit analysis module: The circuit in the RFID chip analyzes the received signal and performs corresponding operations according to the set rules; Data request module: After receiving the response signal from the RFID tag, the reading and writing device requests data from the tag by sending a read instruction; Device response module: When the RFID tag receives the read command, it begins to respond to the device and sends the stored data information back to the RFID reading and writing device through wireless signals; Tag receiving module: The reading and writing device receives the tag signal sent by the RFID tag. 9. An RFID-based signal intelligent sensing system according to claim 6, characterized in that the signal decoding module includes: Leading bit detection module: The RFID reading and writing device receives the signal sent back from the RFID tag and detects the leading bit; Signal conversion module: Converts the received signal into corresponding binary data according to RFID standards and protocols; Frame structure parsing module: parses the frame structure of the RFID signal based on the decoded binary data. The frame structure includes the frame start symbol, data field and checksum; Data extraction module: extract data information from the parsed frame structure; Format conversion module: further process, parse or convert the extracted data information into a computer-readable format. 10. An RFID-based signal intelligent sensing system according to claim 6, characterized in that the decision control module includes: Feature extraction module: analyze and process the data obtained from the RFID signal, and extract features, which include the identifier, location information, timestamp and attributes of the item; Analysis and modeling module: Analyze and model data through machine learning algorithms, and formulate decision-making plans based on the analysis results and actual needs; Decision planning module: Carry out decision execution and control operations in real-time data flow according to the formulated decision rules; Optimization and improvement module: monitor the results of decision execution in real time and provide timely feedback to relevant personnel. Based on the feedback and evaluation results of decision execution, system optimization and improvement are carried out.