CN106851579A - The method that teacher's mobile data is recorded and analyzed based on indoor positioning technologies - Google Patents

Abstract

The invention discloses a method for recording and analyzing teacher's mobile data based on indoor positioning technology. Storage; S2, positioning data attribute description and sorting, and the described position data is used for visual presentation and basic data analysis; S3, visual presentation of positioning data; S4, according to the teacher's positioning data in the complete teaching process, calculate the movement parameters , automatically perform multi-level parameter analysis and generate visual data reports; S5, all positioning data are automatically uploaded. The invention proposes to comprehensively utilize the indoor signal generating device, the sensing technology of the mobile device, the intelligent mobile terminal APP, the cloud service platform and the analysis algorithm to capture the teacher's position and time data, and based on this, the teacher's displacement track and displacement frequency in the teaching process , activity hot spots and other in-depth analysis methods.

Description

Method of recording and analyzing teacher's mobile data based on indoor positioning technology

technical field

The invention belongs to the field of educational technology and mobile computing, in particular to a method for recording and analyzing teacher mobile data based on indoor positioning technology.

Background technique

Methods and application software for analyzing teachers' teaching are not uncommon, and their main analysis objects are usually teachers' language, behavior and operation. The usual method is to first establish a classification code table for teaching behavior or language, then code the teaching process according to the code table, and then use the coded data to analyze teaching methods, processes, and models. There are also analysis methods to analyze the teacher's words according to the participle, frequency or semantics after word segmentation, so as to understand the teacher's style and characteristics in the teaching process. However, there is currently no method for analyzing the teacher's teaching process, teaching characteristics and teaching style according to the location and movement track by recording the teacher's teaching position and moving track.

The current teaching process analysis application system has the following two deficiencies:

1. Mostly record the teaching process by means of text, voice or video, and then use certain information tools to manually, semi-manually or fully automatically mark the recorded data to form data, and finally perform data analysis manually and automatically. Some of these analysis systems require special equipment, and most of them require manual intervention in the data collection and analysis process, so the applicability and universality are limited.

2. The language and behavior data of teachers appear anytime and anywhere during the teaching process, but the current analysis methods mostly use sampling methods to obtain data, and some data are ignored or discarded during the teaching process, so the precision and integrity of the analysis are also affected.

The shortcomings of the above two aspects of the existing analysis application system have affected the extensive development of teaching process analysis and are not conducive to the scientific development of teaching research.

In indoor positioning technology, AGPS positioning technology improves the sensitivity of the signal by obtaining satellite ephemeris in advance and prolonging the delay time of each code. Therefore, this AGPS positioning technology needs to integrate a GPS receiver in the terminal, which determines the AGPS positioning technology. Limitations of scope of use. There are many types of computer vision recognition and positioning technologies, but all of them require the tracking targets to be visible. At the same time, a large number of targets cannot be tracked at the same time, and the cost and computational complexity of the detector are high, which limits its application range. The use of positioning technologies such as the earth's magnetic field and pressure sensors requires high laying costs, which determines the limitations of the scope of use. The equipment required by the wireless positioning technology selected by the present invention has a small volume, is easy to integrate into wristbands, mobile phones, PDAs and PCs, and has low laying costs.

Based on the above analysis, the teaching process analysis method based on the teacher's location data and time data has not yet been proposed, which is a blank in the teaching analysis method; Positioning system for teacher teaching mobile data recording and analysis".

Contents of the invention

The main purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, provide a method for recording and analyzing teacher's mobile data based on indoor positioning technology, and realize fully automatic teacher's positioning data acquisition and analysis.

In order to achieve the above object, the present invention adopts the following technical solutions:

The present invention is based on indoor positioning technology to the method for teacher's mobile data recording and analysis, comprises the following steps:

S1. Obtain the location data and corresponding time data during the teacher's teaching process, and store the acquired location data and time data. The location data and corresponding time data are passed through indoor positioning signal sources and devices such as wristbands that receive positioning signals. Form and capture, store or synchronize to the cloud data center at the same time;

S2. The attribute description and sorting of the positioning data. The described position data is used for visual presentation of the teacher's movement trajectory, activity range and activity hotspot, and for basic data analysis;

S3. Visual presentation of positioning data. After obtaining the positioning data and describing the attributes, according to the positioning data and the time of generation, describe the position and order of the teachers in the classroom space; according to the time sequence of the positioning data, connect them with directed lines Position point, real-time generation of moving trajectory map;

S4. According to the teacher's positioning data in the complete teaching process, calculate the mobile parameters, automatically perform multi-level parameter analysis and generate visual data reports; basic data analysis includes the same teacher's mobile data analysis for each classroom teaching, and the same teacher's all-day teaching mobile data Report, accumulative report of teaching mobile data within a certain period of time for the same teacher, and multi-teacher phased teaching mobile data report;

S5. All positioning data are automatically uploaded and stored in the cloud database.

As a preferred technical solution, in step S1, after the positioning signal source is placed in the four corners of the room, the wireless signal can be turned on and the physical location and shape of the classroom can be determined. The teacher carries a smart mobile device, and after starting the positioning, the smart mobile device receives The signal sent by the positioning source determines the initial position of the teacher, generates position data and corresponding time data, and the two data are stored in devices such as wristbands and transmitted to the cloud data storage center through WIFI.

As a preferred technical solution, after the data collection starts, the smart mobile device can obtain the teacher's real-time location data and corresponding time data at any time by receiving and judging the signal sent by the signal source, and the data will be stored in the smart mobile device or synchronized to the cloud data at the same time storage center.

As a preferred technical solution, when the teacher ends the teaching or stops the location data acquisition during the teaching process, just press the "stop" button on the smart mobile device or the "stop" button in the mobile phone APP. When the teacher does not stop the location data transmission, But when going outside, the system prompts the teacher to exceed the set physical environment range, and stops data acquisition after the teacher confirms.

As a preferred technical solution, in step S2, the teacher's position data acquired during the teaching process is relative to the teacher's classroom boundary data, so it is not affected by changes in the teacher's teaching environment. For this reason, record the location of each physical environment The vertex data defines the boundary of the moving physical environment, and at the same time forms the polar coordinates with a certain vertex of the classroom as the origin and the connecting line from the vertex to the adjacent vertex as the axis, and forms the position data on this basis.

As preferred technical scheme, also comprise following steps:

Based on the established polar coordinate system and the physical boundary of the classroom, the attribute description of the teacher's positioning data includes the following content: numbering in chronological order, coordinate value 1, coordinate value 2, and generation time.

As a preferred technical solution, in step S4, the following parameters will be provided in the multi-level analysis:

(1) The total number of teachers' mobile times;

When (ρ _i ,θ _i )≠(ρ _i-1 ,θ _i-1 );

Accumulation of the number of times the teacher moves within a certain period of time: first determine whether the position of the teacher changes at adjacent moments, and if so, add 1 to the number of times of movement;

(2) The accumulative times and duration of each position of the teacher;

When (ρ _k ,θ _k )=(ρ _i ,θ _i )∩t _k ≠t _i ;

When (ρ _k ,θ _k )=(ρ _i ,θ _i )∩t _k ≠t _i ;

The accumulative number of occurrences of the teacher at each specific location within a certain period of time and the cumulative time at the same location: first judge the location of the teacher’s stay and its specific coordinate values, and then accumulate the duration of the stay at these locations and the cumulative number of occurrences ;

(3) Accumulated times of teachers appearing in hot spots at all levels;

When (ρ _i ,θ _i )∈A[ρ,θ]

Accumulation of the number of times the teacher moves data in the specified area and within a certain period of time: determine the teacher’s position points in this range and the total stay time and cumulative number of stays at those points within the specified area;

(4) Data on the scope of activities of teachers;

When (ρ _i ,θ _i )∈A[ρ,θ]

Accumulation of teacher's moving time in the designated area: judge the total time that the teacher is in the moving state in the designated area;

(5) The directed graph and duration of the teacher's moving route;

Line(ρ,θ):(y-ρ _i sinθ _i )/(ρ _(i+1) sinθ _(i+1) -ρ _i sinθ _i )＝(x-ρ _i cosθ _i )/(ρ _{(i+ 1)} cosθ _(i+1) -ρ _i cosθ _i );

L _tm ＝T _(i+1) –T _i , when (ρ _i ,θ _i )≠(ρ _i-1 ,θ _i-1 );

The trajectory formula of the teacher’s position movement and the duration of the teacher after the trajectory is selected: determine the linear equation of the moving trajectory according to the coordinates of two adjacent changing position points, and accumulate the duration of the movement between the two points;

(6) The most conventional movement trajectory data of teachers;

Max(N _i ), when

The maximum number of occurrences of the teacher's position movement trajectory equation: determine the one with the most occurrences among the various trajectories of the teacher's movement, and accumulate the occurrence times to determine the thickness of the trajectory line in the visual map;

(7) Accumulated time data corresponding to the teacher's most frequent location;

The cumulative value of the longest time that the teacher has been in the same position: determine the position where the teacher appears the most times, and calculate the total time spent in this position.

As a preferred technical solution, in step S4, the method of data calculation is:

(1) Total number N _m of times of teacher movement;

The coordinates of adjacent points t _i-1 and t _i are not equal, that is, when (ρ _i , θ _i )≠(ρ _i-1 , θ _i-1 ), then use t _i ＝t _i-1 +1 gets the sum of the number of times the teacher moves within a certain period of time;

(2) The accumulative times N _p of the occurrence of the teacher's position;

When the position coordinates at time k and i are equal, that is, (ρ _k ,θ _k )=(ρ _i ,θ _i ), and t _k ≠t _i , then use t _i = t _i-1 + 1 to obtain the sum of the number of occurrences of teachers at the same position within a period of time;

(3) The accumulative duration T _p of the appearance of the teacher's position;

When the position coordinates at time k and i are equal, that is, (ρ _k ,θ _k )=(ρ _i ,θ _i ), and t _k ≠t _i , then use Total the sum of the time the teacher was present at the position;

(4) the time data MaxN _p of the position where the teacher most frequently appears;

Total the cumulative time value corresponding to the position where the teacher stayed for the longest time;

(5) Accumulated times N _ap of teachers appearing in hot spots at all levels;

When the coordinate point belongs to the range of the hot zone, that is (ρ _i ,θ _i )∈A[ρ,θ], the cumulative number of occurrences, that is, t _i =t _i-1 +1, then use Calculate the sum of the cumulative times that the teacher appears in the hot zone within a period of time;

(6) Accumulated time T _ap of the teacher appearing in the hot zone;

When the coordinate point belongs to the range of the hot zone, namely (ρ _i ,θ _i )∈A[ρ,θ], then use Compute the sum of durations over a range;

(7) Teacher activity track Line;

Transform polar coordinates into rectangular coordinates x _i =ρ _i cosθ _i , y _i =ρ _i sinθ _i . The trajectory of the teacher’s activity, (yy _i )/(y _i+1 -y _i )=(xx _i )/( _xi+1 -xi _i ), therefore, the teacher’s activity trajectory is Line(ρ,θ):( y-ρ _i sinθ _i )/(ρ _(i+1) sinθ _(i+1) -ρ _i sinθ _i )＝(x-ρ _i cosθ _i )/(ρ _(i+1) cosθ _(i+1) -ρ _i cos θ _i );

(8) The corresponding duration L _tm of the teacher's mobile line

For two adjacent positions, that is, (ρ _i , θ _i )≠(ρ _i-1 , θ _i-1 ), then use L _tm =T _(i+1) –T _i to calculate the duration of the selected track.

(9) The teacher's most regular movement trajectory data N _i

When N _i =N _i-1 +1, when the equation of a certain trajectory is the same as that of another moving trajectory, that is, Line(ρ,θ)=Line(ρ′,θ′), the total number of occurrences of the same trajectory The number of times, the track with the most accumulated times is the path that the teacher moves most often. As a preferred technical solution, in step S5, through the APP in the smart mobile device, the personal terminal can obtain personal teaching data and personal reports, and the administrator user can obtain various basic data and analysis parameters of teachers using the system within the management scope and comprehensive reports.

Compared with the prior art, the present invention has the following advantages and beneficial effects:

(1) With the help of wireless positioning technology, the present invention automatically captures the teacher's positioning data, and breaks through the limitation that the current teaching process analysis only analyzes words and behaviors.

(2) The present invention utilizes mobile devices such as wristbands to automatically obtain position data, realizes the acquisition of big data in the teaching process, changes the situation that the current teaching process analysis data completely or partially relies on manual input, and increases the automatic analysis of the teaching process based on big data. implementation.

(3) Based on the automatic analysis of positioning and corresponding time data, the present invention can form teacher activity hot zone maps, track maps, range maps, and parameter reports without manual analysis, helping teachers find blind spots in teaching and interact with students The situation, conventional teaching path, etc., to improve the accuracy of teaching analysis.

(4) The present invention is based on location and corresponding time data, and can be extended to more data statistics and calculation methods according to teaching research and teacher's requirements, and has great application expandability.

Description of drawings

Fig. 1 is the implementation process figure of the present invention;

Fig. 2 is a schematic diagram of the structure of the data acquisition system of the present invention;

Fig. 3 is a schematic diagram of the data acquisition steps of the present invention;

Fig. 4 is a schematic diagram of data attribute description in the present invention;

Fig. 5 is teacher's displacement locus figure of the present invention;

Fig. 6 is an activity heat diagram of the present invention;

Fig. 7 is the data analysis figure of the present invention;

Fig. 8 is a data flow diagram of the system of the present invention;

Fig. 9(a) and Fig. 9(b) are respectively the path diagram and the hot zone diagram during the teaching process of the teacher of the first grade geography class of a certain school presented by the present invention.

detailed description

The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

Example

In order to obtain the data generated along with the teacher's teaching, such as the location of the teacher's appearance, stay time, moving duration, and activity range during the teaching process, from the analysis of the teacher's moving track, corresponding time, and activity hotspots, the teacher's teaching characteristics, teacher's Student interaction style and teaching mode. The invention comprehensively utilizes the wireless indoor positioning technology, the intelligent mobile technology, the data recording technology and the sensing technology, and proposes a method for acquiring, recording and analyzing mobile data based on the teacher's teaching. As shown in Figure 1, technical scheme of the present invention is as follows:

S1. Acquisition and storage of teacher mobile data;

The acquisition process of teachers' teaching mobile data has five steps: positioning system startup, real-time positioning data generation and transmission, data attribute description, data storage and layered service. The main work of these stages is shown in Figure 2.

The acquisition of the teacher's location data and corresponding time data is realized through indoor positioning signal sources and devices such as wristbands that receive positioning signals. After the indoor positioning signal source is placed in the four corners of the room, it can be turned on to send out wireless signals and determine the physical location and shape of the classroom. The teacher wears a bracelet or carries a smart mobile device. After the positioning is started, the mobile device receives the signal from the positioning source, determines the initial position of the teacher, generates position data and corresponding time data, and the two data are stored in the storage of the bracelet and passed through simultaneously WIFI transmits to the cloud data storage center.

After data collection begins, mobile devices such as wristbands can obtain real-time location data and corresponding time data of teachers at any time by receiving and judging signals from signal sources.

When the teacher ends the teaching or stops the location data acquisition during the teaching process, he only needs to press the "stop" button on the wristband or the "stop" button in the mobile APP. If the teacher does not stop sending location data, but goes outside, the system will prompt the teacher to exceed the set physical environment range, and stop data acquisition after the teacher confirms. The detailed operation process description of data acquisition is shown in Figure 3.

S2. Positioning data attribute description and sorting;

The teacher's location data acquired during the teaching process is relative to the teacher's classroom boundary data, so it is not affected by changes in the teacher's teaching environment. To this end, the system will record the vertex data of each physical environment, define the boundary of the moving physical environment, and at the same time form a polar coordinate with a certain vertex in the classroom as the origin and a connecting line from the vertex to the adjacent vertex as the axis, and here Based on the position data.

Based on the established polar coordinate system and the physical boundary of the classroom, the attribute description of the teacher's positioning data includes the following content: sequential numbering by time, coordinate value 1, coordinate value 2, and generation time, as shown in Figure 4. (Note: The dotted line in the figure indicates the shape of the teaching environment, the rectangle is an example of a conventional classroom shape, and the oval is an example of a circular classroom.)

S3. After obtaining the positioning data and describing the attributes, according to the positioning data and the time of generation, describe the position and order of the teachers in the classroom space; according to the time sequence of the positioning data, connect the position points with directed lines and generate in real time The moving trajectory diagram is shown in Figure 5; according to the number of occurrences of the teacher's moving points within the classroom, a heat map will be automatically drawn, as shown in Figure 6.

S4. Basic data analysis

According to the positioning data of teachers in the complete teaching process, this method automatically performs multi-level basic data analysis and generation of data visualization reports. Basic data analysis includes the analysis of the same teacher's teaching movement data for each class, the same teacher's all-day teaching movement data report, the same teacher's teaching movement data accumulation report within a certain period of time, and the multi-teacher basic data report. The following parameters will be provided in the multi-level analysis: (1) the summary of the number of times teachers move; (2) the accumulated times and duration of teachers’ appearance in each location; (3) the accumulated times of teachers’ appearance in hot spots at all levels; (4) the teacher’s activities Range data; (5) directed graph and duration of the teacher’s moving route; (6) data on the most routine movement trajectory of the teacher; (7) accumulated time data corresponding to the most frequent location of the teacher, as shown in Figure 7, the calculation method of the data As in Table 1.

Table 1 Basic parameter algorithm

S5, data storage and layered services

All positioning data is automatically uploaded and stored in the cloud database. The APP personal terminal can obtain personal teaching data and personal reports. Administrator users can obtain various basic data, analysis parameters and comprehensive reports of teachers using the system within the scope of management. Service types and processes are shown in Figure 8.

Let's take a geography class in the first grade of a certain school as a case to make a specific elaboration:

Teachers teach in classrooms where signal sources have been installed. After the teacher enters the classroom, use the "preset" button on the wristband to obtain the classroom physical range data ((0,0), (6,0), (11.7,66), (10,90)) and the teacher's initial position data(8,12). When the teacher starts the lesson, press the "Start" button to start acquiring, describing, uploading and saving the location data. The system continues to collect the teacher's location information, and the formed data is shown in Table 2.

Table 2 Data Sheet

1 8 12 0:00:00 2 8 12 0:00:01 3 8 12 0:00:02 4 8 12 0:00:03 5 8 12 0:00:04 ... ... ... ... 10 9 6 0:00:10 11 9 6.2 0:00:11 ... ... ... ...

According to the positioning data, the cloud server organizes and analyzes the data. Based on the original positioning data, the teacher's path map and hot zone map during this teaching process can be formed, as shown in Figure 9(a) and Figure 9(b).

The original data of this teaching is automatically calculated to form the analysis parameters in the table below. According to the analysis of these phased parameters, it is optional to automatically form a mobile data report for the teaching process.

Table 3 instance parameter table

data name calculation method 23 times 18 times 1: 1s, 2: 3s, 3: 87s... Time data for most frequent locations 11.2m A1: 6 times A1: 18.3m Teacher activity track (Line) L1:y=-4x+20 L1: 30s

To sum up, in the present invention, the indoor positioning device is used to send positioning signals, and smart bracelets and mobile devices generate the teacher's position and corresponding time data by receiving positioning signals. The positioning data that completes the attribute description is uploaded to the cloud service platform synchronously, stored and used for further analysis and processing. As a data processing and transmission center, the cloud service platform automatically forms a series of teaching visualizations and basic analysis data at the end of each positioning data collection. According to the time set by the user or the selected teacher, the cloud service platform automatically generates a vertical or horizontal data table and transmits it to the mobile terminal. As a data query and display center, the mobile APP displays basic analysis data summary reports, moving trajectory maps and heat map etc. according to user query requirements.

In addition, the present invention realizes fully automatic teacher positioning data acquisition and analysis, supports data-based analysis of teacher teaching characteristics, teaching interaction, teaching action preferences, and activity areas, so that teachers can more accurately understand their own teaching process, characteristics and Questions that need to be improved, etc., in order to obtain accurate teaching development and improvement.

The above-mentioned embodiment is a preferred embodiment of the present invention, but the embodiment of the present invention is not limited by the above-mentioned embodiment, and any other changes, modifications, substitutions, combinations, Simplifications should be equivalent replacement methods, and all are included in the protection scope of the present invention.

Claims (9)

1. the method for teacher's mobile data recording and analysis based on indoor positioning technology, is characterized in that, comprises the following steps: S1. Obtain the location data and corresponding time data during the teacher's teaching process, and store the acquired location data and time data. The location data and corresponding time data are passed through indoor positioning signal sources and devices such as wristbands that receive positioning signals. Form and capture, store or synchronize to the cloud data center at the same time; S2. The attribute description and sorting of the positioning data. The described position data is used for visual presentation of the teacher's movement trajectory, activity range and activity hotspot, and for basic data analysis; S3. Visual presentation of positioning data. After obtaining the positioning data and describing the attributes, according to the positioning data and the time of generation, describe the position and order of the teachers in the classroom space; according to the time sequence of the positioning data, connect them with directed lines Position point, real-time generation of moving trajectory map; S4. According to the teacher's positioning data in the complete teaching process, calculate the mobile parameters, automatically perform multi-level parameter analysis and generate visual data reports; basic data analysis includes the same teacher's mobile data analysis for each classroom teaching, and the same teacher's all-day teaching mobile data Report, accumulative report of teaching mobile data within a certain period of time for the same teacher, and multi-teacher phased teaching mobile data report; S5. All positioning data are automatically uploaded and stored in the cloud database. 2. The method for recording and analyzing teacher's mobile data based on indoor positioning technology according to claim 1, characterized in that in step S1, after the positioning signal source is placed in the four corners of the room, it can be turned on to send a wireless signal and determine the classroom location. The teacher carries the smart mobile device, and after starting the positioning, the smart mobile device receives the signal from the positioning source, determines the initial position of the teacher, generates position data and corresponding time data, and the two data are stored in the bracelet and other devices at the same time Send to the cloud data storage center through WIFI. 3. according to the method for teacher's mobile data recording and analysis based on indoor positioning technology according to claim 2, it is characterized in that, after the data collection starts, the smart mobile device can obtain the teacher's real-time information at any time by receiving and judging the signal sent by the signal source. The location data and the corresponding time data are stored in the smart mobile device or synchronized to the cloud data storage center at the same time. 4. The method for recording and analyzing teacher's mobile data based on indoor positioning technology according to claim 1, wherein the teacher presses the "stop" button on the smart mobile device when he finishes teaching or stops the position data acquisition during the teaching process Or the "Stop" button in the mobile APP. When the teacher does not stop the location data transmission, but goes outside, the system will prompt the teacher to exceed the set physical environment range, and stop the data acquisition after the teacher confirms. 5. The method for recording and analyzing teacher's mobile data based on indoor positioning technology according to claim 1, characterized in that, in step S2, the teacher's position data acquired in the teaching process is the relative position with respect to the boundary data of the classroom where the teacher is located Therefore, the data is not affected by the change of the teacher's teaching environment. For this reason, the vertex data of each physical environment is recorded to define the boundary of the moving physical environment, and at the same time, a certain vertex in the classroom is used as the origin, and the connection between the vertex and the adjacent vertex is formed. The lines are the polar coordinates of the axes on which the position data is formed. 6. according to the method for teacher's mobile data recording and analysis based on indoor positioning technology according to claim 5, it is characterized in that, also comprises the following steps: Based on the established polar coordinate system and the physical boundary of the classroom, the attribute description of the teacher's positioning data includes the following content: numbering in chronological order, coordinate value 1, coordinate value 2, and generation time. 7. according to claim 1 based on the method for teacher's mobile data recording and analysis based on indoor positioning technology, it is characterized in that, in step S4, the following parameters will be provided in the multi-level analysis: (1) The total number of teachers' mobile times; When (ρ _i ,θ _i )≠(ρ _i-1 ,θ _i-1 ); Accumulation of the number of times the teacher moves in a certain period of time: first judge whether the position of the teacher changes at adjacent moments, if so, add 1 to the number of times of movement; (2) The accumulative times and duration of each position of the teacher; When (ρ _k ,θ _k )=(ρ _i ,θ _i )∩t _k ≠t _i ; When (ρ _k ,θ _k )=(ρ _i ,θ _i )∩t _k ≠t _i ; The accumulative number of occurrences of the teacher at each specific location within a certain period of time and the cumulative time at the same location: first judge the location of the teacher’s stay and its specific coordinate values, and then accumulate the duration of staying at these locations and the cumulative number of occurrences ; (3) Accumulated times of teachers appearing in hot spots at all levels; When (ρ _i ,θ _i )∈A[ρ,θ] Accumulation of the teacher's mobile data times in the designated area and a period of time: determine the teacher's position points in this range and the total stay time and cumulative number of stays at those points in the designated area; (4) Data on the scope of activities of teachers; When (ρ _i ,θ _i )∈A[ρ,θ] Accumulation of the teacher's moving time in the designated area: judge the total length of time the teacher is in the moving state in the designated area; (5) The directed graph and duration of the teacher's moving route; Line(ρ,θ):(y-ρ _i sinθ _i )/(ρ _(i+1) sinθ _(i+1) -ρ _i sinθ _i )＝(x-ρ _i cosθ _i )/(ρ _{(i+ 1)} cosθ _(i+1) -ρ _i cosθ _i ); L _tm ＝T _(i+1) –T _i , when (ρ _i ,θ _i )≠(ρ _i-1 ,θ _i-1 ); The track formula of the teacher's position movement and the duration of the teacher after the selected track: determine the straight line equation of the moving track according to the coordinates of two adjacent changing position points, and accumulate the duration of moving between the two points; (6) The most conventional movement trajectory data of teachers; Max(N _i ), when The number of times that the teacher's position moving track equation occurs the most: judge in each track that the teacher moves, the one that appears the most, and accumulates the number of occurrences to determine the thickness of the track line in the visual map; (7) Accumulated time data corresponding to the teacher's most frequent location; $<span\; class="notranslate">\; \&Exists;</span>\mathrm{<span\; class="notranslate">\; m</span>}\mathrm{<span\; class="notranslate">\; a</span>}\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \&Right\; Arrow;</span>\mathrm{<span\; class="notranslate">\; l</span>}\mathrm{<span\; class="notranslate">\; i</span>}\mathrm{<span\; class="notranslate">\; the\; s</span>}\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>$ The cumulative value of the teacher's longest time at the same location: determine the location where the teacher appears most often, and calculate the total time spent at that location. 8. according to the method for teacher's mobile data recording and analysis based on indoor positioning technology according to claim 1, it is characterized in that, in step S4, the method for data calculation is: (1) Total number N _m of times of teacher movement; The coordinates of adjacent points t _i-1 and t _i are not equal, that is, when (ρ _i , θ _i )≠(ρ _i-1 , θ _i-1 ), then use Get the sum of the number of times the teacher moves over a period of time; (2) The accumulative times N _p of the occurrence of the teacher's position; When the position coordinates at time k and i are equal, that is, (ρ _k ,θ _k )=(ρ _i ,θ _i ), and t _k ≠t _i , then use Find the sum of the number of occurrences of the teacher in the same position over a period of time; (3) The accumulative duration T _p of the appearance of the teacher's position; When the position coordinates at time k and i are equal, that is, (ρ _k ,θ _k )=(ρ _i ,θ _i ), and t _k ≠t _i , then use Total the sum of the time the teacher was present at the position; (4) the time data MaxN _p of the position where the teacher most frequently appears; Total the cumulative time value corresponding to the position where the teacher stayed for the longest time; (5) Accumulated times N _ap of teachers appearing in hot spots at all levels; When the coordinate point belongs to the range of the hot zone, that is (ρ _i ,θ _i )∈A[ρ,θ], the cumulative number of occurrences, that is, t _i =t _i-1 +1, then use Calculate the sum of the cumulative times that the teacher appears in the hot zone within a period of time; (6) Accumulated time T _ap of the teacher appearing in the hot zone; When the coordinate point belongs to the range of the hot zone, namely (ρ _i ,θ _i )∈A[ρ,θ], then use Compute the sum of durations over a range; (7) Teacher activity track Line; Transform polar coordinates into rectangular coordinates x _i =ρ _i cosθ _i , y _i =ρ _i sinθ _i . The trajectory of the teacher’s activity, (yy _i )/(y _i+1 -y _i )=(xx _i )/( _xi+1 -xi _i ), therefore, the teacher’s activity trajectory is Line(ρ,θ):( y-ρ _i sinθ _i )/(ρ _(i+1) sinθ _(i+1) -ρ _i sinθ _i )＝(x-ρ _i cosθ _i )/(ρ _(i+1) cosθ _(i+1) -ρ _i cos θ _i ); (8) The corresponding duration L _tm of the teacher's mobile line Two adjacent positions, namely (ρ _i , θ _i )≠(ρ _i-1 , θ _i-1 ), then use L _tm =T _(i+1) –T _i to calculate the duration of the selected track; (9) The teacher's most regular movement trajectory data N _i When N _i =N _i-1 +1, when the equation of a certain trajectory is the same as that of another moving trajectory, that is, Line(ρ,θ)=Line(ρ′,θ′), the total number of occurrences of the same trajectory The number of times, the track with the most accumulated times is the path that the teacher moves most often. 9. The method for recording and analyzing teacher's mobile data based on indoor positioning technology according to claim 1, characterized in that, in step S5, through the APP in the smart mobile device, the personal terminal can obtain individual teaching data and personal reports , administrators and users can obtain various basic data, analysis parameters and comprehensive reports of teachers using the system within the scope of management.