Power generation floor edge positioning identification method based on RFID technology

By installing RFID positioning and identification modules on the power generation floor, the problem of the floor system's lack of automatic recognition of relative position is solved, autonomous positioning and dynamic network maintenance are achieved, and the flexibility and accuracy of the system are improved.

CN120745136AActive Publication Date: 2025-10-03SHANGHAI YINSHENG TECH CO LTD
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Patent Information

Application Number
CN202511163502.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-20
Publication Date
2025-10-03
Estimated Expiration
2045-08-20

AI Technical Summary

Technical Problem

The existing power generation floor system lacks the ability to automatically identify the relative positions between floors, resulting in insufficient system flexibility and self-organizing capabilities, and requires reliance on external positioning systems.

Method used

An RFID positioning and identification module, including an NFC module, a single-chip microcomputer, and a communication module, is installed on each floor. Identity information is uploaded through the RFID tag, and the cloud processor aggregates and analyzes the adjacency relationship to generate a floor network topology map.

Benefits of technology

It realizes autonomous positioning and identification of power generation floors and dynamic network maintenance, improves the flexibility and positioning accuracy of the system, and supports the automatic addition and removal of floor units.

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Abstract

The invention discloses a power generation floor edge positioning identification method based on an RFID technology. The method comprises the steps that S1, an RFID positioning identification module is installed on each floor; s2, the RFID positioning identification module automatically enters an identification mode after being electrified; s3, the radio frequency card reader reads the identity information in the adjacent RFID tags according to a preset time interval; s4, the single-chip microcomputer summarizes the identity information read by the radio frequency card readers at the same time to form a piece of read tag information and uploads the read tag information to the cloud processor; s5, the cloud processor summarizes the read label information uploaded by the single-chip microcomputers of all the floors, and analyzes and records the adjacency relation of each floor; and S6, the cloud processor generates a floor network topological graph. According to the power generation floor edge positioning identification method based on the RFID technology, the deployment flexibility of the power generation floor can be improved, and self-positioning identification can be realized.
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Description

Technical Field

[0001] The present invention belongs to the technical field of power generation floor positioning and identification, and in particular relates to a power generation floor edge positioning and identification method based on RFID technology. Background Art

[0002] Radio frequency identification (RFID) is a contactless automatic identification technology that uses radio frequency signals for two-way communication and data exchange. It has the advantages of non-line-of-sight, long coverage distance, large information capacity, and simultaneous multi-target identification. RFID technology is currently widely used in warehouse management, logistics, asset management and other fields, and has gradually become one of the main technologies for indoor positioning and spatial layout identification. Common indoor positioning technologies include infrared, Bluetooth, ultrasound, Wi-Fi and RFID. Among them, RFID is considered the preferred technology due to its low cost and high positioning accuracy. However, in the deployment process of existing power generation floor systems, floor units usually need to be fixed and lack the ability to automatically identify the relative positions of the floors. This leads to insufficient system flexibility and self-organization capabilities, and requires reliance on external positioning systems to determine the spatial relationship between the units. Summary of the Invention

[0003] In order to solve the problems in the prior art, the present invention aims to provide a method for locating and identifying the edge of a power generation floor based on RFID technology, which can improve the deployment flexibility of the power generation floor and realize autonomous positioning and identification.

[0004] In order to achieve the above object, the present invention provides a method for locating and identifying the edge of a power generation floor based on RFID technology, comprising the steps of: S1: Install an RFID positioning and identification module on each floor in a flooring set; the RFID positioning and identification module includes four NFC modules, a single-chip microcomputer, and a communication module; the NFC modules are installed on the four side edges of the corresponding flooring and connected to the corresponding single-chip microcomputer; the single-chip microcomputer communicates with a cloud processor through the communication module; each NFC module includes a radio frequency card reader and an RFID tag arranged at intervals; the RFID tag stores the identity information of the corresponding flooring, and the identity information corresponds to the flooring one-to-one; S2: The RFID positioning and identification module automatically enters the identification mode after being powered on; S3: The radio frequency card reader reads the identity information in the adjacent RFID tag at a preset time interval and sends it to the corresponding single chip microcomputer; S4: The single chip microcomputer aggregates the identity information read by each radio frequency card reader at the same time to form a piece of read tag information and uploads it to the cloud processor via the communication module; S5: The cloud processor aggregates the tag information read from the single-chip microcomputers of all the floors, performs aggregate analysis, and records the adjacency relationship of each floor; S6: The cloud processor generates a floor network topology map according to the adjacency relationship.

[0005] As an embodiment, the read tag information includes self-identity information, a timestamp and read identity information; The self-identity information is the identity information of the current single chip microcomputer corresponding to the floor; The read identity information is the identity information received by the current single chip microcomputer from each of the radio frequency card readers and the position identifier corresponding to the identity information.

[0006] As an implementation manner, the identity information includes a MAC address.

[0007] As an implementation manner, the orientation mark includes a first orientation mark, a second orientation mark, a third orientation mark and a fourth orientation mark; The first orientation marker is associated with the identity information read by the radio frequency card reader located at the upper edge of the floor; The second orientation mark is associated with the identity information read by the radio frequency card reader located at the right edge of the floor; The third position marker is associated with the identity information read by the radio frequency card reader located at the lower edge of the floor; The fourth position marker is associated with the identity information read by the radio frequency reader located at the left edge of the floor.

[0008] As an embodiment, the step S5 further includes the steps of: S51: The cloud processor receives and saves the read tag information; S52: forming a plurality of association information based on the read tag information, the association information including the identity information and the timestamp of the two associated floors; the floor corresponding to the self-identity information in the same read tag information and the floors corresponding to the respective read identity information are associated with each other; S53: merging the associated information of the same pair of associated floors within the first preset time period into an associated information group, and counting the number and latest time of the associated information included in the associated information group; S54: When the number of the association information is greater than a preset value, the current adjacency relationship between the two floors is marked as "possibly adjacent"; when the two floors have both generated the association information, the current adjacency relationship between the two floors is marked as "definitely adjacent"; S55: Recording the current adjacency relationship between the two floors; S56: Repeat steps S53 to S55 until the adjacency relationship between all two related floors is determined and recorded.

[0009] As an embodiment, after the step of merging the associated information of the same pair of associated floors within the first preset time period to form an associated information group, the method further includes the following steps: The associated information group having only one associated information is removed.

[0010] As an embodiment, the step S6 further includes the following steps: S61: Arranging the spatial positions of the floors in a plan view according to the adjacency relationship to form a floor layout information diagram; S62: Checking whether there is a logical conflict in the adjacency relationship between two floors in the floor layout information diagram; if so, adjusting the positions of the two floors and checking whether the conflict is resolved; if the conflict is not resolved, issuing a manual intervention requirement message; if no logical conflict exists, proceeding to subsequent steps; S63: Outputting the final floor layout information map as the floor network topology map; S64: Save the floor network topology map as a snapshot.

[0011] As an embodiment, the step S6 further includes the following steps: S7: The cloud processor dynamically maintains the floor network topology map according to the updated read tag information.

[0012] As an embodiment, the dynamic maintenance includes updating the floor network topology map and automatically adjusting the topology structure by triggering a connection disconnection event.

[0013] As an embodiment, the step S6 further includes the following steps: S8: Mapping the layout information of the floor in the real world to the digital scene to achieve real-time synchronization of the position with the network topology map.

[0014] The present invention adopts the above technical solution, so it has the following beneficial effects: By installing an RFID positioning and identification module on each floor, the identity information of each floor and its adjacent floors is uploaded, providing a data foundation for floor positioning. The cloud-based processor aggregates, analyzes, and records the adjacency relationships of each floor. Based on this, it automatically associates the positions of each floor in a virtual coordinate system, achieving precise positioning of each floor. Ultimately, a complete floor network topology is generated, determining the relative coordinates of each floor within the overall layout. The cloud-based processor dynamically maintains the floor network topology based on updated read tag information, enabling dynamic maintenance of the entire power generation floor network and maintaining the latest layout information at all times. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 This is a diagram showing the positional relationship of the floors and the deployment of their NFC modules in an embodiment of the present application; Figure 2 This is a flow chart of the edge positioning and identification method of the power generation floor based on RFID technology. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0018] See also Figure 1 , a method for locating and identifying the edge of a power generation floor based on RFID technology in an embodiment of the present invention comprises the steps of: S1: Install an RFID positioning and identification module on each floor in a flooring set; the RFID positioning and identification module includes four NFC modules, a single-chip microcomputer, and a communication module; the NFC modules are installed on the four side edges of the corresponding flooring and connected to the corresponding single-chip microcomputer; the single-chip microcomputer communicates with a cloud processor through the communication module; each NFC module includes a radio frequency card reader and an RFID tag arranged at intervals; the RFID tag stores the identity information of the corresponding flooring, and the identity information corresponds to the flooring one-to-one; By installing an RFID positioning and identification module on each floor, the identity information of each floor and adjacent floors can be uploaded, providing a data basis for the positioning of the floors.

[0019] S2: The RFID positioning and identification module automatically enters the identification mode after being powered on; S3: The radio frequency card reader reads the identity information in the adjacent RFID tag at a preset time interval and sends it to the corresponding single chip microcomputer; Users place the power-generating floor units in their desired environment. After NFC modules are installed around each floor unit, the system automatically enters identification mode. When two floor units are placed edge to edge, the NFC reader on one side scans the tag on the other side. Through wireless signal exchange, the system can identify the adjacent floor units.

[0020] S4: The single chip microcomputer aggregates the identity information read by each radio frequency card reader at the same time to form a piece of read tag information and uploads it to the cloud processor via the communication module; The read tag information includes self-identity information, timestamp and read identity information; The self-identity information is the identity information of the current single chip microcomputer corresponding to the floor; The read identity information is the identity information received by the current single chip microcomputer from each of the radio frequency card readers and the position identifier corresponding to the identity information.

[0021] The identity information includes a MAC address.

[0022] The orientation mark includes a first orientation mark, a second orientation mark, a third orientation mark and a fourth orientation mark; The first orientation marker is associated with the identity information read by the radio frequency card reader located at the upper edge of the floor; The second orientation mark is associated with the identity information read by the radio frequency card reader located at the right edge of the floor; The third position marker is associated with the identity information read by the radio frequency card reader located at the lower edge of the floor; The fourth position marker is associated with the identity information read by the radio frequency reader located at the left edge of the floor.

[0023] For example, in a 3×3 arrangement, the reader for the center floor numbered MAC5 reads the adjacent floor tag's contents as "MAC2+down," the right edge as "MAC6+left," the bottom edge as "MAC8+up," and the left edge as "MAC4+right." The "down," "left," "up," and "right" in the tag indicate the floor's orientation relative to the tag itself, thereby inferring the relative positions of the two floors. The read identity information can be set in the format of "self-identity information + read identity information + timestamp," as shown below: Self-identity information: MAC5 Timestamp: 0001 Read identity information: Top: MAC2+DOWN Right: MAC6+LEFT Bottom: MAC8+UP Left: MAC4+RIGHT The card reader on each floor breaks down the tag content it reads into two parts: a MAC address and a location. The MAC address uniquely identifies adjacent floors, while the location indicates the direction of the adjacent floor. By analyzing the reader's position and the location markings on the tags, the system can determine the spatial relationship between adjacent floors.

[0024] S5: The cloud processor aggregates the tag information read from the single-chip microcomputers of all the floors, performs aggregate analysis, and records the adjacency relationship of each floor; The S5 step further includes the steps of: S51: The cloud processor receives and saves the read tag information; S52: forming a plurality of association information based on the read tag information, the association information including the identity information and the timestamp of the two associated floors; the floor corresponding to the self-identity information in the same read tag information and the floors corresponding to the respective read identity information are associated with each other; S53: merging the associated information of the same pair of associated floors within the first preset time period to form an associated information group, and counting the number and the last time of the associated information included in the associated information group; and using the number and the last time as a basis for determining the credibility of the adjacency relationship; After the step of merging the associated information of the same pair of associated floors within the first preset time period into an associated information group, the method further includes the following steps: The associated information group having only one associated information is removed.

[0025] Related information that appears only once is likely to be misread data, which can improve the efficiency and accuracy of data processing.

[0026] S54: When the number of the association information is greater than a preset value, the current adjacency relationship between the two floors is marked as "possibly adjacent"; when the two floors have both generated the association information, the current adjacency relationship between the two floors is marked as "definitely adjacent"; S55: Recording the current adjacency relationship between the two floors; S56: Repeat steps S53 to S55 until the adjacency relationship between all two related floors is determined and recorded.

[0027] An adjacency matrix is ​​constructed based on the readings from all floor readers, recording the connections between each floor and its surrounding neighbors. Based on this matrix, the system automatically associates the positions of each floor in a virtual coordinate system. For example, if MAC5's four readers identify its neighbors as MAC2, MAC6, MAC8, and MAC4, the system can locate MAC5 precisely at the location adjacent to these four neighbors.

[0028] S6: The cloud processor generates a floor network topology map according to the adjacency relationship.

[0029] The step S6 further includes the following steps: S61: Arranging the spatial positions of the floors in a plan view according to the adjacency relationship to form a floor layout information diagram; S62: Checking whether there is a logical conflict in the adjacency relationship between two floors in the floor layout information diagram; if so, adjusting the positions of the two floors and checking whether the conflict is resolved; if the conflict is not resolved, issuing a manual intervention requirement message; if no logical conflict exists, proceeding to subsequent steps; S63: Outputting the final floor layout information map as the floor network topology map; S64: Saving the floor network topology map as a snapshot for use in a management interface and a virtual scene.

[0030] For example: starting from a certain floor, press "up / right / down / left" to place each adjacent floor on the grid of the floor plan, you can get the plane position of each board, and finally form a floor network topology diagram.

[0031] The step S6 further includes the following steps: S7: The cloud processor dynamically maintains the floor network topology map according to the updated read tag information.

[0032] The dynamic maintenance includes updating the floor network topology map and automatically adjusting the topology structure by triggering a connection disconnection event.

[0033] The system supports automatic addition and removal recognition. When a new power floor unit is added, its reader detects the tags of the surrounding existing floors and automatically establishes a new connection. Simultaneously, the readers of the surrounding floors can also read the new floor tags, and the system updates the adjacency matrix accordingly. When a floor unit is removed, the readers of its original neighbors will no longer detect the corresponding tag signal, triggering a disconnection event and the system automatically readjusting the topology. This allows the entire power floor network to be dynamically maintained, keeping the latest layout information up to date.

[0034] In this embodiment, updating the floor network topology map may include the following steps: A. After receiving the newly reported read tag information, merge the related records into the current statistical associated information group, and update the number and time of occurrence.

[0035] B. Re-evaluate whether this relationship meets the conditions of "credible" or "should be deleted". If there is no new related information for a long time, delete it.

[0036] C. Write the actual changes (addition, confirmation, weakening, deletion) into the adjacency table and record the version number.

[0037] D. If the change affects the position, such as connecting a new isolated floor or disconnecting an important bridge floor, the cloud will locally recalculate the position and generate a new snapshot; E. Push the changes to the required systems (virtual world).

[0038] In this embodiment, triggering a disconnection event to automatically adjust the topology structure includes the following steps: a. Determine disconnection: If a connection has not been reported by any floor within the set time (about 10 seconds), it is determined to be "disconnected" and the connection is first marked as "suspected disconnection".

[0039] b. Confirm and record: If the connection is not restored, mark it as "disconnected" and record the disconnection time and reason (such as timeout).

[0040] c. Find the affected area: Check whether the disconnection divides the entire graph into several disconnected parts, and collect the affected floors.

[0041] d. Partial repositioning: Only re-assign the grid position of the affected part according to "up / right / down / left" (using a piece of floor that is still online in that part as a reference), and try to only adjust that area and leave other areas unchanged.

[0042] e. Conflict resolution: If a position conflict occurs during rearrangement, try fine-tuning it on a small scale first. If the problem still cannot be resolved, mark the issue and submit a maintenance ticket for manual processing.

[0043] f. Send and prompt: Send the adjustment results and the locations that require manual intervention to the management interface, and use color or prompt information to remind the operation and maintenance personnel.

[0044] g. Recovery and regression: If a disconnected floor later comes back online, the cloud will treat it as a new report and try to integrate it back into the current topology. If the regression causes a conflict, manual confirmation is required or the priority solution is automatically selected according to the rules.

[0045] The step S6 further includes the following steps: S8: Mapping the layout information of the floor in the real world to the digital scene to achieve real-time synchronization of the position with the network topology map.

[0046] Each floor simultaneously uploads information about its detected neighbors to a cloud server. The cloud receives and integrates this data from all floors, including their MAC addresses and relative positions. Through aggregated analysis, the cloud can map the physical topology of the entire floor system and map the real-world floor layout information onto the digital scene, achieving real-time synchronization of location and topology.

[0047] In this embodiment, mapping the real-world floor layout information to the digital scene may include the following steps: S81: First determine the physical size of each floor and a reference point, that is, select a floor as the coordinate origin.

[0048] S82: Convert the position of each floor on the "grid coordinates" in the plan view into the real coordinates of the virtual scene, for example: multiply the grid number by the side length of the floor.

[0049] S83: Package the number, location, orientation, and credibility of each floor and send it to the virtual scene or management end.

[0050] S84: The client updates the display only according to the changes (only moves or creates the floors with changes), and marks the floors with low credibility or conflicts in red to remind manual inspection.

[0051] S85: Save snapshots for easy playback or troubleshooting.

[0052] It should be noted that the preferred embodiments of the present invention are given in the specification and drawings of the present invention. However, the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. These embodiments do not serve as additional limitations on the content of the present invention. The purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive. In addition, the above-mentioned technical features continue to be combined with each other to form various embodiments not listed above, which are all considered to be within the scope of the description of the present invention; further, it is obvious to those skilled in the art that improvements or changes can be made based on the above description, and all such improvements and changes should fall within the scope of protection of the claims attached to the present invention.

[0053] The present invention has been described in detail above with reference to the embodiments of the accompanying drawings. A person skilled in the art can make various modifications to the present invention based on the above description. Therefore, certain details in the embodiments should not be construed as limiting the present invention. The scope of protection of the present invention shall be determined by the scope defined in the appended claims.

Claims

1. A method for locating and identifying the edge of a power generation floor based on RFID technology, comprising the following steps: S1: Install an RFID positioning and identification module on each floor in a flooring set; the RFID positioning and identification module includes four NFC modules, a single-chip microcomputer, and a communication module; the NFC modules are installed on the four side edges of the corresponding flooring and connected to the corresponding single-chip microcomputer; the single-chip microcomputer communicates with a cloud processor through the communication module; each NFC module includes a radio frequency card reader and an RFID tag arranged at intervals; the RFID tag stores the identity information of the corresponding flooring, and the identity information corresponds to the flooring one-to-one; S2: The RFID positioning and identification module automatically enters the identification mode after being powered on; S3: The radio frequency card reader reads the identity information in the adjacent RFID tag at a preset time interval and sends it to the corresponding single chip microcomputer; S4: The single chip microcomputer aggregates the identity information read by each radio frequency card reader at the same time to form a piece of read tag information and uploads it to the cloud processor via the communication module; S5: The cloud processor aggregates the tag information read from the single-chip microcomputers of all the floors, performs aggregate analysis, and records the adjacency relationship of each floor; S6: The cloud processor generates a floor network topology map according to the adjacency relationship.

2. The method for locating and identifying the edge of a power generation floor based on RFID technology according to claim 1, characterized in that: The read tag information includes self-identity information, timestamp and read identity information; The self-identity information is the identity information of the current single chip microcomputer corresponding to the floor; The read identity information is the identity information received by the current single chip microcomputer from each of the radio frequency card readers and the position identifier corresponding to the identity information.

3. The method for locating and identifying the edge of a power generation floor based on RFID technology according to claim 2, characterized in that: The identity information includes a MAC address.

4. The method for locating and identifying the edge of a power generation floor based on RFID technology according to claim 2, characterized in that: The orientation mark includes a first orientation mark, a second orientation mark, a third orientation mark and a fourth orientation mark; The first orientation marker is associated with the identity information read by the radio frequency card reader located at the upper edge of the floor; The second orientation mark is associated with the identity information read by the radio frequency card reader located at the right edge of the floor; The third position marker is associated with the identity information read by the radio frequency card reader located at the lower edge of the floor; The fourth position marker is associated with the identity information read by the radio frequency reader located at the left edge of the floor.

5. The method for locating and identifying the edge of a power generation floor based on RFID technology according to claim 2, characterized in that: The S5 step further includes the steps of: S51: The cloud processor receives and saves the read tag information; S52: forming a plurality of association information based on the read tag information, the association information including the identity information and the timestamp of the two associated floors; the floor corresponding to the self-identity information in the same read tag information and the floors corresponding to the respective read identity information are associated with each other; S53: merging the associated information of the same pair of associated floors within the first preset time period into an associated information group, and counting the number and latest time of the associated information included in the associated information group; S54: When the number of the association information is greater than a preset value, the current adjacency relationship between the two floors is marked as "possibly adjacent"; when the two floors have both generated the association information, the current adjacency relationship between the two floors is marked as "definitely adjacent"; S55: Recording the current adjacency relationship between the two floors; S56: Repeat steps S53 to S55 until the adjacency relationship between all two related floors is determined and recorded.

6. The method for locating and identifying the edge of a power generation floor based on RFID technology according to claim 5, characterized in that: After the step of merging the associated information of the same pair of associated floors within the first preset time period into an associated information group, the method further includes the following steps: The associated information group having only one associated information is removed.

7. The method for locating and identifying the edge of a power generation floor based on RFID technology according to claim 1, characterized in that: The step S6 further includes the following steps: S61: Arranging the spatial positions of the floors in a plan view according to the adjacency relationship to form a floor layout information diagram; S62: Checking whether there is a logical conflict between the adjacency relationships between two floors in the floor layout information diagram. If so, adjusting the positions of the two floors and checking whether the conflict is resolved. If the conflict is not resolved, issuing a manual intervention requirement message. When the logical conflict does not exist, proceed to the subsequent steps; S63: Outputting the final floor layout information map as the floor network topology map; S64: Save the floor network topology map as a snapshot.

8. The method for locating and identifying the edge of a power generation floor based on RFID technology according to claim 1, characterized in that: The step S6 further includes the following steps: S7: The cloud processor dynamically maintains the floor network topology map according to the updated read tag information.

9. The method for locating and identifying the edge of a power generation floor based on RFID technology according to claim 8, characterized in that: The dynamic maintenance includes updating the floor network topology map and automatically adjusting the topology structure by triggering a connection disconnection event.

10. The method for locating and identifying the edge of a power generation floor based on RFID technology according to claim 1, characterized in that: The step S6 further includes the following steps: S8: Mapping the layout information of the floor in the real world to the digital scene to achieve real-time synchronization of the position with the network topology map.

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