Enterprise personnel indoor positioning method based on RFID

Abstract

The invention discloses an enterprise personnel indoor positioning method based on RFID, and the method comprises the specific steps: collecting precise positioning information for indoor positioning, obtaining a first precision coefficient according to the precise positioning information, collecting signal state information for signal delay detection, obtaining a second precision coefficient according to the signal state information, and obtaining a second precision coefficient according to the second precision coefficient; establishing a multi-point verification model according to the first precision coefficient and the second precision coefficient, verifying the balance of the positioning signal by using a multi-point crossing method, carrying out manual intervention operation according to a reliability verification result of the positioning signal, and fusing a method based on signal intensity and a method based on an angle of arrival to obtain the reliability of the positioning signal. The method improves the accuracy and real-time performance of the indoor positioning of the enterprise personnel, carries out the comprehensive evaluation of the indoor positioning result of the enterprise personnel through the building of a multi-point verification model, avoids the problems of low manual management efficiency and narrow coverage, provides a practical and effective indoor positioning means for the management of a large-scale smart park, and improves the indoor positioning accuracy and real-time performance of the enterprise personnel. And the problem of imbalance of indoor positioning precision and efficiency is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and more specifically, to an indoor positioning method for enterprise personnel based on RFID. Background Art

[0002] Among the existing RFID-based indoor positioning methods for enterprise personnel, the signal strength-based positioning method was developed the earliest. However, the positioning accuracy of the signal strength-based positioning method is low and it is greatly affected by environmental interference. It is not suitable for precise positioning inside large factories. The time difference-based positioning method has better positioning accuracy, but requires a high-precision time synchronization system and has high hardware costs. The arrival angle-based positioning method relies on complex signal processing algorithms, and the algorithm processing time may affect the delay performance of the positioning signal. In the indoor positioning of enterprise personnel in large smart factories, the delay performance of the positioning signal is more important than the absolute positioning accuracy. Too high return delay of the positioning signal will lead to delays and confusion in the internal personnel management of the enterprise. Therefore, it is an urgent problem to evaluate the balance between positioning accuracy and signal delay.

[0003] In order to solve the above defects, a technical solution is now proposed. Summary of the invention

[0004] The purpose of the present invention is to provide an RFID-based indoor positioning method for enterprise personnel to address the deficiencies in the background technology.

[0005] In order to achieve the above object, the present invention provides the following technical solution: an RFID-based enterprise personnel indoor positioning method, the specific steps include:

[0006] Collecting precise positioning information for indoor positioning, and obtaining a first accuracy coefficient according to the precise positioning information;

[0007] Collecting signal state information for signal delay detection, and obtaining a second precision coefficient according to the signal state information;

[0008] A multi-point verification model is established according to the first precision coefficient and the second precision coefficient, and a multi-point cross method is used to verify the balance of the positioning signal;

[0009] Perform manual intervention based on the reliability verification results of the positioning signal.

[0010] Preferably, the method for obtaining accurate positioning information is:

[0011] Obtain the signal strength of the tags received by multiple RFID readers within the cycle time T, and integrate the signal strengths of the tags received by multiple RFID readers within the cycle time T into a data set, and mark the data set as P r = {pr i}, where i = {1, 2, 3, ..., z} is the index of the RFID reader, and z is a positive integer, pr i It represents the signal strength of the tag received by the i-th RFID reader. The average signal strength of the tags received by multiple RFID readers within the cycle time T is calculated. The calculation expression is: The average signal strength SS of multiple RFID readers receiving tags within the cycle time T i To accurately locate information.

[0012] Preferably, the specific method for obtaining the first precision coefficient according to the precise positioning information is:

[0013] Based on the average signal strength SS of multiple RFID readers receiving tags within the cycle time T i Calculate the initial positioning parameters, the calculation expression is Where P s is the transmission power, v is the path loss exponent and v is a positive number, and C is a constant related to the environment;

[0014] The arrival angle of the tag signal is measured by the reader based on the antenna array, and the tag reader coordinates are (x i ,y i ), the coordinates of the tag are (x, y), then the arrival angle is In the formula, θ i For the arrival angle, the measurement results of multiple readers are used to construct a set of equations and the angle tag coordinates are calculated by combining the preliminary positioning parameters. The expression of the angle tag coordinates is:

[0015] The sliding average method is used to calculate the smooth coordinates within the period time T. The sliding window size is set to k. For each time point t within the time period T, the average position of k coordinate points is calculated as (x avg (t),y avg (t)), where and The first precision coefficient is calculated by smoothing the coordinates and the angle label coordinates. The calculation expression is F pc =|x avg (t)-x|*|y avg (t)-y|.

[0016] Preferably, the method for obtaining the signal status information is:

[0017] Obtain the transmission time of the positioning signal from the tag to each RFID reader within the cycle time T, and integrate the transmission time of the positioning signal from the tag to each RFID reader within the cycle time T into a data set, and mark the data set as Trt ={tr i}, where i = {1, 2, 3, ..., z} is the index of the RFID reader, and z is a positive integer, tr i is the signal status information indicating the transmission time of the i-th RFID reader.

[0018] Preferably, the method for obtaining the second precision coefficient according to the signal state information is:

[0019] The transmission delay of the tag RFID reader receiving the tag signal is Δt i =tr i -t re , where t re is the time when the RFID reader receives the tag signal. According to the known location information of the RFID reader, d i =c*tr i , where d i is the distance from the tag to the RFID reader, c is the propagation speed of the RF signal, and an RFID reader is marked as the reference RFID reader. The distance between the reference RFID reader and the tag is d1. The difference coefficient between the signal transmission delay of each RFID reader and the reference RFID reader is Then the calculation expression of the second precision coefficient is Among them, Δt pji is the coefficient of variation.

[0020] Preferably, the method for establishing a multi-point verification model is:

[0021] The mathematical model of the multi-point verification model is: Where P s is the transmission power, z is the total number of RFID readers, M pv is the balance deviation index, and the first balance deviation threshold M is preset t1 and the second balance deviation threshold M t2 , and the first balance offset threshold M t1 Less than the second balance deviation threshold M t2 , the balance shift index M pv With the first balance deviation threshold M t1 , the second balance deviation threshold M t2 Compare, if the balance deviation index M pv Less than or equal to the first balance deviation threshold M t1 , then the multi-point verification of the indoor positioning coordinates is passed;

[0022] If the first balance deviation threshold M t1 Less than the balance deviation index M pv Less than the second balance deviation threshold M t2, then the multi-point verification of the indoor positioning coordinates is questionable;

[0023] If the balance deviation index M pv Greater than or equal to the second balance deviation threshold M t2 , then the multi-point verification error of the indoor positioning coordinates is marked.

[0024] Preferably, the logic for performing manual intervention operation is:

[0025] When the multi-point verification of indoor positioning coordinates is passed, the indoor positioning of enterprise personnel is accurate and timely, and there is no need to transmit it to management personnel;

[0026] When the multi-point verification of indoor positioning coordinates is in doubt, or the indoor positioning of enterprise personnel is inaccurate or untimely, the indoor positioning coordinates shall be recorded and notified to the management personnel for manual review;

[0027] When the multi-point verification of the indoor positioning coordinates is wrong, the indoor positioning of the enterprise personnel is inaccurate and untimely, and the indoor positioning coordinates are recorded to prompt the management personnel to intervene in the control.

[0028] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0029] This application integrates the technical methods based on signal strength and based on arrival angle to improve the accuracy and real-time performance of indoor positioning of enterprise personnel, conducts a balance test on the accuracy and delay status of indoor positioning, establishes a multi-point verification model, and uses multiple RFID devices to conduct a comprehensive evaluation of the indoor positioning results of enterprise personnel to verify the accuracy and real-time performance of indoor positioning, thereby further improving the reliability level of indoor positioning, avoiding the problems of low efficiency and narrow coverage of manual management, and providing a practical and effective indoor positioning method for large-scale smart park management, avoiding the imbalance between indoor positioning accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0031] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0033] Example 1: Please refer to Figure 1 As shown, the present invention is an RFID-based enterprise personnel indoor positioning method, and the specific steps include:

[0034] Collecting precise positioning information for indoor positioning, and obtaining a first accuracy coefficient according to the precise positioning information;

[0035] Collecting signal state information for signal delay detection, and obtaining a second precision coefficient according to the signal state information;

[0036] A multi-point verification model is established according to the first precision coefficient and the second precision coefficient, and a multi-point cross method is used to verify the balance of the positioning signal;

[0037] Perform manual intervention based on the reliability verification results of the positioning signal.

[0038] In the security management of large-scale smart factories, the indoor positioning method of enterprise personnel has certain requirements for positioning accuracy and signal delay:

[0039] Accuracy requirements: Positioning accuracy is generally at the meter level to ensure accurate tracking of the real-time location of personnel. In high-risk areas, such as hazardous chemical storage areas, positioning accuracy is required to be sub-meter level, and in office areas or public areas, meter level accuracy is required;

[0040] The signal transmission delay is required to be in the millisecond level to ensure the real-time response of the system. For safety warning systems that require immediate response, the lower the delay, the better. In real-time monitoring systems, too high signal delay will affect the system response speed.

[0041] If the accuracy of indoor positioning is too low, the following adverse consequences will occur:

[0042] Failure to accurately locate personnel working in high-risk areas increases the likelihood of accidents. Failure to quickly find personnel who need to be evacuated in an emergency may result in casualties.

[0043] Difficulties in monitoring personnel flows and activities lead to irrational resource scheduling, and security personnel are unable to quickly locate and handle suspicious activities, increasing security risks;

[0044] If the delay of the positioning signal is too high, the following adverse consequences will occur:

[0045] Delays in information transmission and response during security incidents or emergencies will prolong processing time, increase losses, and prevent the security warning system from being triggered in time, thus missing the best time to respond.

[0046] Too high a signal delay may cause inconsistent data in the system, affecting the overall monitoring effect. The real-time nature of positioning information may decrease, resulting in management being unable to obtain the latest personnel dynamics.

[0047] Collecting precise positioning information for indoor positioning, and obtaining a first accuracy coefficient according to the precise positioning information;

[0048] The method for obtaining precise positioning information is:

[0049] Obtain the signal strength of the tags received by multiple RFID readers within the cycle time T, and integrate the signal strengths of the tags received by multiple RFID readers within the cycle time T into a data set, and mark the data set as P r = {pr i}, where i = {1, 2, 3, ..., z} is the index of the RFID reader, and z is a positive integer, pr i It represents the signal strength of the tag received by the i-th RFID reader. The average signal strength of the tags received by multiple RFID readers within the cycle time T is calculated. The calculation expression is: The average signal strength SS of multiple RFID readers receiving tags within the cycle time T i To accurately locate information;

[0050] The specific method for obtaining the first precision coefficient according to the precise positioning information is:

[0051] Based on the average signal strength SS of multiple RFID readers receiving tags within the cycle time T i Calculate the initial positioning parameters, the calculation expression is Where P s is the transmission power, v is the path loss exponent and v is a positive number, and C is a constant related to the environment;

[0052] The arrival angle of the tag signal is measured by the reader based on the antenna array, and the tag reader coordinates are (x i ,y i ), the coordinates of the tag are (x, y), then the arrival angle is In the formula, θ i For the arrival angle, the measurement results of multiple readers are used to construct a set of equations and the angle tag coordinates are calculated by combining the preliminary positioning parameters. The expression of the angle tag coordinates is:

[0053] The sliding average method is used to calculate the smooth coordinates within the period time T. The sliding window size is set to k. For each time point t within the time period T, the average position of k coordinate points is calculated as (x avg (t),y avg (t)), where and The first precision coefficient is calculated by smoothing the coordinates and the angle label coordinates. The calculation expression is F pc =|x avg (t)-x|*|y avg (t)-y|.

[0054] This application measures the received signal strength to quickly estimate the approximate location of the target, and then corrects the preliminary positioning result by measuring the angle of signal arrival, thereby significantly improving positioning accuracy;

[0055] Measurement based on signal strength is greatly affected by environmental factors, while measurement based on arrival angle provides more positioning information in complex environments, enhancing the adaptability of signal positioning to interference and obstruction. At the same time, combining two different positioning methods reduces the limitations of a single method and ensures good positioning performance under different conditions.

[0056] The preliminary position of the signal can be quickly obtained based on the measurement of signal strength. The real-time correction based on the measurement of arrival angle can ensure that the signal positioning can quickly respond to changes in a dynamic environment, improve the real-time nature of security management, and in an emergency, fast and accurate positioning can assist managers to take timely actions to reduce potential losses.

[0057] In terms of application cost, the hardware used for signal strength-based measurement is relatively simple. Combining signal strength-based measurement with arrival angle-based measurement can improve positioning accuracy without increasing costs too much.

[0058] The preliminary precise positioning method that combines signal strength-based measurement positioning with arrival angle-based measurement positioning not only improves positioning accuracy and robustness, but also optimizes real-time response capabilities to meet the needs of complex application scenarios. This combined positioning method enables enterprises to achieve intelligent and efficient security management, ensure the safety of personnel and assets, and reduce costs and risks.

[0059] Collecting signal state information for signal delay detection, and obtaining a second precision coefficient according to the signal state information;

[0060] The method for obtaining signal status information is:

[0061] Obtain the transmission time of the positioning signal from the tag to each RFID reader within the cycle time T, and integrate the transmission time of the positioning signal from the tag to each RFID reader within the cycle time T into a data set, and mark the data set as T rt ={tr i}, where i = {1, 2, 3, ..., z} is the index of the RFID reader, and z is a positive integer, tr i is the signal status information indicating the transmission time of the i-th RFID reader;

[0062] The method for obtaining the second precision coefficient according to the signal status information is:

[0063] The transmission delay of the tag RFID reader receiving the tag signal is Δt i =tr i -t re , where t re is the time when the RFID reader receives the tag signal. According to the known location information of the RFID reader, d i =c*tr i , where d i is the distance from the tag to the RFID reader, c is the propagation speed of the RF signal, and an RFID reader is marked as the reference RFID reader. The distance between the reference RFID reader and the tag is d1. The difference coefficient between the signal transmission delay of each RFID reader and the reference RFID reader is Then the calculation expression of the second precision coefficient is Among them, Δt pji is the coefficient of variation.

[0064] Provides accurate positioning information by calculating the time difference between the signal reaching each RFID reader, and reduces the impact of multipath effect by using time difference instead of absolute time to improve positioning accuracy;

[0065] By calculating the second precision coefficient, the robustness to environmental changes and signal interference is improved, and the adaptability is enhanced to provide a stable positioning effect in a complex environment. The collaborative work of multiple RFID readers effectively reduces the impact of a single RFID reader failure or failure on the overall positioning accuracy.

[0066] Real-time positioning and monitoring are achieved by quickly processing signal arrival time to adapt to dynamically changing application scenarios. Signal delay evaluation not only helps with positioning, but also analyzes the quality and stability of signal propagation to ensure the overall efficiency of the system.

[0067] Evaluating the transmission delay of the tag positioning signal through the second precision coefficient not only improves the positioning accuracy and system robustness, but also achieves rapid response and real-time monitoring. It has important application value in the field of intelligent security and improves overall efficiency and safety.

[0068] A multi-point verification model is established according to the first precision coefficient and the second precision coefficient, and a multi-point cross method is used to verify the balance of the positioning signal;

[0069] The method to establish a multi-point verification model is:

[0070] The mathematical model of the multi-point verification model is: Where P s is the transmission power, z is the total number of RFID readers, M pv is the balance deviation index, and the first balance deviation threshold M is preset t1 and the second balance deviation threshold M t2 , and the first balance offset threshold M t1 Less than the second balance deviation threshold M t2 , the balance shift index M pv With the first balance deviation threshold M t1 , the second balance deviation threshold M t2 Compare, if the balance deviation index M pv Less than or equal to the first balance deviation threshold M t1 , then the multi-point verification of the indoor positioning coordinates is passed;

[0071] If the first balance deviation threshold M t1 Less than the balance deviation index M pv Less than the second balance deviation threshold M t2 , then the multi-point verification of the indoor positioning coordinates is questionable;

[0072] If the balance deviation index M pv Greater than or equal to the second balance deviation threshold M t2 , then the multi-point verification error of the indoor positioning coordinates is marked.

[0073] Perform manual intervention operations based on the reliability verification results of the positioning signal;

[0074] When the multi-point verification of indoor positioning coordinates is passed, the indoor positioning of enterprise personnel is accurate and timely, and there is no need to transmit it to management personnel;

[0075] When the multi-point verification of indoor positioning coordinates is in doubt, or the indoor positioning of enterprise personnel is inaccurate or untimely, the indoor positioning coordinates shall be recorded and notified to the management personnel for manual review;

[0076] When the multi-point verification of the indoor positioning coordinates is wrong, the indoor positioning of the enterprise personnel is inaccurate and untimely, and the indoor positioning coordinates are recorded to prompt the management personnel to intervene in the control.

[0077] This application integrates the technical methods based on signal strength and based on arrival angle to improve the accuracy and real-time performance of indoor positioning of enterprise personnel, conducts a balance test on the accuracy and delay status of indoor positioning, establishes a multi-point verification model, and uses multiple RFID devices to conduct a comprehensive evaluation of the indoor positioning results of enterprise personnel to verify the accuracy and real-time performance of indoor positioning, thereby further improving the reliability level of indoor positioning, avoiding the problems of low efficiency and narrow coverage of manual management, and providing a practical and effective indoor positioning method for large-scale smart park management, avoiding the imbalance between indoor positioning accuracy and efficiency.

[0078] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0079] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of computer program goods. The computer program goods include one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0080] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0081] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0082] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0083] If the functions are implemented in the form of software functional units and sold or used as independent goods, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can essentially or in other words, the part that contributes to the prior art or the part of the technical solution can be embodied in the form of software goods, and the computer software goods are stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0084] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An RFID-based enterprise personnel indoor positioning method is characterized by: The specific steps include: Collecting precise positioning information for indoor positioning, and obtaining a first accuracy coefficient according to the precise positioning information; Collecting signal state information for signal delay detection, and obtaining a second precision coefficient according to the signal state information; A multi-point verification model is established according to the first precision coefficient and the second precision coefficient, and a multi-point cross method is used to verify the balance of the positioning signal; Perform manual intervention based on the reliability verification results of the positioning signal.

2. The RFID-based indoor positioning method for enterprise personnel according to claim 1, characterized in that: The method for obtaining precise positioning information is: Obtain the signal strength of the tags received by multiple RFID readers within the cycle time T, and integrate the signal strengths of the tags received by multiple RFID readers within the cycle time T into a data set, and mark the data set as P r = {pr i }, where i = {1, 2, 3, ..., z} is the index of the RFID reader, and z is a positive integer, pr i It represents the signal strength of the tag received by the i-th RFID reader. The average signal strength of the tags received by multiple RFID readers within the cycle time T is calculated. The calculation expression is: The average signal strength SS of multiple RFID readers receiving tags within the cycle time T i To accurately locate information.

3. The RFID-based indoor positioning method for enterprise personnel according to claim 2 is characterized in that: The specific method for obtaining the first precision coefficient according to the precise positioning information is: Based on the average signal strength SS of multiple RFID readers receiving tags within the cycle time T i Calculate the initial positioning parameters, the calculation expression is Where P s is the transmission power, v is the path loss exponent and v is a positive number, and C is a constant related to the environment; The arrival angle of the tag signal is measured by the reader based on the antenna array, and the tag reader coordinates are (x i ,y i ), the coordinates of the tag are (x, y), then the arrival angle is In the formula, θ i For the arrival angle, the measurement results of multiple readers are used to construct a set of equations and the angle tag coordinates are calculated by combining the preliminary positioning parameters. The expression of the angle tag coordinates is: The sliding average method is used to calculate the smooth coordinates within the period time T. The sliding window size is set to k. For each time point t within the time period T, the average position of k coordinate points is calculated as (x avg (t),y avg (t)), where and The first precision coefficient is calculated by smoothing the coordinates and the angle label coordinates. The calculation expression is F pc =|x avg (t)-x|*|y avg (t)-y|.

4. The RFID-based indoor positioning method for enterprise personnel according to claim 1, characterized in that: The method for obtaining signal status information is: Obtain the transmission time of the positioning signal from the tag to each RFID reader within the cycle time T, and integrate the transmission time of the positioning signal from the tag to each RFID reader within the cycle time T into a data set, and mark the data set as T rt ={tr i }, where i = {1, 2, 3, ..., z} is the index of the RFID reader, and z is a positive integer, tr i is the signal status information indicating the transmission time of the i-th RFID reader.

5. The RFID-based indoor positioning method for enterprise personnel according to claim 4 is characterized in that: The method for obtaining the second precision coefficient according to the signal status information is: The transmission delay of the tag RFID reader receiving the tag signal is Δt i =tr i -t re , where t re is the time when the RFID reader receives the tag signal. According to the known location information of the RFID reader, d i =c*tr i , where d i is the distance from the tag to the RFID reader, c is the propagation speed of the RF signal, and an RFID reader is marked as the reference RFID reader. The distance between the reference RFID reader and the tag is d1. The difference coefficient between the signal transmission delay of each RFID reader and the reference RFID reader is Then the calculation expression of the second precision coefficient is Among them, Δt pji is the coefficient of variation.

6. The RFID-based indoor positioning method for enterprise personnel according to claim 5, characterized in that: The method to establish a multi-point verification model is: The mathematical model of the multi-point verification model is: Where P s is the transmission power, z is the total number of RFID readers, M pv is the balance deviation index, and the first balance deviation threshold M is preset t1 and the second balance deviation threshold M t2 , and the first balance offset threshold M t1 Less than the second balance deviation threshold M t2 , the balance shift index M pv With the first balance deviation threshold M t1 , the second balance offset threshold M t2 Compare, if the balance deviation index M pv Less than or equal to the first balance offset threshold M t1 , then the multi-point verification of the indoor positioning coordinates is passed; If the first balance deviation threshold M t1 Less than the balance deviation index M pv Less than the second balance deviation threshold M t2 , then the multi-point verification of the indoor positioning coordinates is questionable; If the balance deviation index M pv Greater than or equal to the second balance deviation threshold M t2 , then the multi-point verification error of the indoor positioning coordinates is marked.

7. The RFID-based indoor positioning method for enterprise personnel according to claim 6, characterized in that: The logic for manual intervention is: When the multi-point verification of indoor positioning coordinates is passed, the indoor positioning of enterprise personnel is accurate and timely, and there is no need to transmit it to management personnel; When the multi-point verification of indoor positioning coordinates is in doubt, or the indoor positioning of enterprise personnel is inaccurate or untimely, the indoor positioning coordinates shall be recorded and notified to the management personnel for manual review; When the multi-point verification of the indoor positioning coordinates is wrong, the indoor positioning of the enterprise personnel is inaccurate and untimely, and the indoor positioning coordinates are recorded to prompt the management personnel to intervene in the control.

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