WO2017113566A1 - Internet accessing method by means of separation and aggregation identification signals and internet-of-things/teaching system - Google Patents

Abstract

An Internet accessing method by means of a separation identification signal and an aggregation identification signal and an Internet-of-things teaching system using same. The present invention proposes a triggering control method based on the time domain, the accelerated speed, the moving frequency, and the node aggregation, and a method for collecting a set of separation and aggregation identification signals, applies same to an intelligent purchasing payment and finance tracing system, a logistics express handover and data management system, a carrying behavior analysis and an augmented reality solution, paper interaction behavior analysis and an Internet-of-Things teaching system, derives a set of intelligent hardware products based on RFID separation identification and aggregation identification signals , proposes a set of Internet-of-Things use forms on the basis of the data integration of the separation and aggregation signals by said product, such as code scanning off-pile mode, automatic code scanning off-pile mode, automatic code scanning separation mode, "O2O" mode, article (goods/packages) separation and aggregation handover monitoring mechanism, national express mode, cloud monitoring intelligent teaching system, in-class synchronous thinking teaching monitoring mechanism, in-school mutual and self-regulated studying mechanism and magnetic field aided teaching system, and proposes a corresponding data analysis algorithm thought.

Description

Separation, set identification signal, internet access method and internet of things/teaching system Technical field

The invention relates to a mobile computing control technology, a radio frequency identification (RFID) technology, a printed RFID label paper technology, a wireless communication technology, an Internet of Things big data analysis and application technology, and a teaching management.

Background technique

The background proposed in this case is based on an electronic wallet with separate alarm and collective control (CN2015203144739, China Patent Application Date 2015.05.16). The significance of the invention is that people can use RFID separation and recognition technology to implement real-time anti-forgotten control of surrounding objects. The effect of "taking the object of the object".

However, the above-mentioned inventive concept has the following technical bottlenecks to be solved:

First, the use of the separation and identification function of RFID technology requires the reader to "check the transmission to be stopped" as the normal state (the proximity recognition function of the RFID technology in the industry is "normal inspection and emission to be triggered" as the normal state), therefore, energy consumption and Electromagnetic health problems are a shortcoming of the above scheme. By constructing a set of trigger control schemes to intelligently trigger the RFID module's inspection instructions and intelligent control inspection frequency, this short board can be solved and the above scheme can be further improved.

Second, the RFID reader module is only used for the peripheral object anti-forgetting control and wastes the data collection function of RFID technology; and most of the existing household goods and consumer goods are not widely used RFID for identification, using RFID tag control When surrounding objects, users need to attach labels to the control objects, which lacks convenience. In addition, the RFID technology's ability to bypass the RFID technology needs to be improved to avoid the influence of metal objects and physical magnetic field barriers.

The application of radio frequency identification (RFID) technology to multi-target, non-contact object recognition has been more mature in industry. This case is different from the conventional RFID proximity recognition application, avoiding the inherent shortcomings of the existing RFID technology with short recognition distance. Combining the close-range identification of multi-target rigid requirements, the paper proposes the use of RFID separation and recognition technology in three areas of consumer payment, carrying item traceability and paper behavior data analysis.

Based on the analysis of the above disadvantages, this case has differentiated the wallet user groups and functional scenarios, and proposed its application in the three fields of consumer wealth management traceability analysis, carrying behavior data analysis, paper interaction behavior data analysis and corresponding solutions.

The above-mentioned application and the corresponding solution satisfactorily satisfy the requirements of the differentiated function of the wallet user, and can effectively improve the user experience.

The background art is described as follows.

(1) In terms of traceability analysis of consumer wealth management, due to the powerful data collection and item identification capabilities of RFID, combined with the proposed separation and recognition function, it can greatly facilitate people's shopping experience and traceability analysis of consumer wealth management data.

(2) Carrying behavior data, compiling empirical data by accumulating data of daily carrying/consumption of people, and collecting environmental condition parameters through RFID module, analyzing and monitoring the difference between the aforementioned empirical value and environmental conditions, Improve the user experience and use experience/shared data to provide customers with an "augmented reality" experience.

(3) Data analysis of paper interaction behavior, this case proposes to use RFID wireless communication separation and recognition principle to monitor people's reading habits and reading behavior (experience shows that people's thinking activity changes are positively correlated with behavior data, for example: on the podium When the teacher asked the students to turn the textbook to page 88, some students may have missed the textbooks in their minds, and some students may actively forward the textbooks to page 88. By monitoring and supervising the paper interaction behavior, the problem of teacher and student's classroom thinking is not synchronized, and then the classroom order is standardized, the teaching effect is greatly improved, and the student learning effect is greatly improved. And through the whole process of big data monitoring of the learning process, students assessment and evaluation of teacher performance can be traced, more fair, just and transparent.

Due to the development of printing RFID tag technology, the integration of RFID tag technology into textbook paper, workbook/workbook and other courseware materials, paper, contract paper, work paper, bills and other fields is just around the corner. Although electronic reading equipment has made great progress, considering the cost, convenience, uniformity, durability and people's reading habits and feelings of physical books, it is expected that electronic reading equipment will be used for a long time. It is difficult to completely replace paper textbooks in the teaching field.

Moreover, textbooks, homework books, and test papers have great convenience and popularity in terms of knowledge inheritance and standardization as a tangible medium. The publication and teaching of textbooks based on national or regional unified administrative management has strong normative and authoritative nature. In this case, we believe that the use of printed RFID technology to carry out technological innovations on textbooks and related textbook materials (exercise books, test papers, and exercise books) can effectively improve the quality of teaching with the powerful data collection advantages of RFID technology, and enable the whole society to jointly manage education. .

In addition, this case combines Internet technology to propose remote monitoring of children by parents, teachers and the public. Innovative solutions for behavioral and teaching quality.

Throughout the ages, education has always been an eternal topic concerning the prosperity of the country, the family, and the individual. With the rapid development of electronic technology, relying on electronic technology to promote the improvement of education quality has great practical significance and economic benefits. The teaching methods proposed in this case can greatly improve students' learning habits and learning effects, and make students more Smart, teachers are easier, parents are more assured, and the country is stronger.

Background technology overview:

The case is based on the technical advantages of an electronic wallet that separates alarms and collective control. It fully exploits the application of RFID radio frequency identification technology in separation identification and collection control. Under the combined interaction of Internet data information and IoT data information, the above-mentioned The separation identification signal and the aggregation control signal extend to the operation end of the Internet information (not limited to the use of the electrical signal generated by the separation and concentration of the label in the electronic wallet for the alarm signal and the collective control switch signal), thereby greatly improving the use of the aforementioned electronic wallet. Domain and user experience.

At the same time, for specific subdivisions (for example: couriers), this case has made targeted improvements to the RFID module transmit antennas, and has certain innovation in the application of RFID technology in the field of consumer electronics; further, the logistics express industry is full of The quality trace of the industrial chain, energy consumption and social and economic material circulation have great influence. In this case, an innovative "national express delivery" mode is proposed in the direction of the separation alarm and collective control technology of RFID technology based on the core technology of the Internet of Things. s solution.

Summary of the invention

0-1-2 The separation, collective identification signal Internet access method and Internet of Things/teaching system described in this case. It includes a set of assistive technology solutions and a set of separate, collective identification signal Internet access methods and Internet of Things/teaching systems.

0-1-2.1-1-TBC The above-mentioned set of auxiliary technical solutions for solving the problem of energy consumption of mobile computing devices and electromagnetic radiation problems, including a set of triggers based on time domain, acceleration, motion frequency and node aggregation Control method (as shown in Figure 28).

0-1-2.2-3-TBC The above-mentioned set of separation, collective identification signal Internet access method and Internet of Things/teaching system, including: a set of separate identification signal acquisition methods, a set of collective identification signal acquisition methods, a set of separation A method and system for accessing the Internet and integrating data information with a set identification signal (a functional overview diagram thereof is shown in FIG. 1).

0-1-2.1-1.1-6 The above set of triggers based on time domain, acceleration, motion frequency and node aggregation Control method, consisting of PDS (Position Data Sensor), momentum sensor ASS (Accelerated Speed Sensor), Seismic Sensor SS (Shaking Sensor), Node Cluster Monitor NCM (Node Cluster Monitor), experience value EV (Experience Value) The acquisition control unit information is output by the MCU's Smart Trigger Control Logic (TSL) to output the control signal TSF (RF Model_Tag Scan Fre) for execution by the RF Model.

0-1-2.1-1.1-6.1-0 The above-mentioned positioning parameter acquisition device PDS control meta information refers to the latitude and longitude positioning parameters transmitted from the mobile APP or the latitude and longitude positioning parameters calculated by the satellite positioning module, and the value is ( PDS_WE; PDS_NS; PDS_H).

0-1-2.1-1.1-6.2-0 The above-mentioned momentum sensor ASS control meta information refers to the acceleration parameter ASS_a transmitted from the speed sensor.

0-1-2.1-1.1-6.3-0 The above-mentioned seismograph SS control meta information refers to the vibration coefficient SS_fa transmitted from the vibration sensor.

0-1-2.1-1.1-6.4-2 The above-mentioned node aggregation patrol NCM control meta information refers to the surrounding environment aggregation density (ie, the live performance coefficient) transmitted by the node aggregation patrol, which is derived from the audio sensor. The transmitted clutter coefficient NCM_cv (cluster voice) and the network node detection mechanism NCM_cn (cluster node) transmitted by the network node detection mechanism are jointly determined.

The node aggregation patrol NCM described in 0-1-2.1-1.1-6.4-2.1-0 refers to a combination of an audio sensor and a network node detection mechanism.

The network node detection mechanism described in 0-1-2.1-1.1-6.4-2.2-0 is the number and density parameters of the surrounding wireless network nodes collected by the mobile phone APP received by the MCU, and the NCM_cn is obtained through operation.

0-1-2.1-1.1-6.5-0 The above empirical value EV (Experience Value) operation refers to the above-mentioned time (such as work by the above-mentioned: PDS_WE, PDS_NS, PDS_H, ASS_a, SS_fa, NCM_cv, NCM_cn) Day rush hour, as shown in Figure 29.), location (such as: subway station, railway station, bus station, KTV, *** shopping plaza and other user-designed places for easy to forget things), and by STCL The values of the control metadata package provided by the development group are EV_Time (EV_Ti), EV_Geography (EV_Gi_WE, EV_Gi_NS, EV_Gi_H). In particular, in STCL, EV_Ti and EV_Gi are a set of dynamic variables.

0-1-2.1-1.1-6.6-0 The above-mentioned intelligent trigger control logic unit STCL operation refers to the following logic rules (taking the VC_++6.0 programming environment as an example).

#include<iostream.h>

Void main()//.

Int CT; / / define the patrol cycle control limit under the position change trigger mechanism.

Int MCT1=5;//Manually set the period register to 5 seconds

Int MCT2=10;//Manually set the period register to 10 seconds

Int MCT2=20;//Manually set the period register to 20 seconds

Int MCT2=40;//Manually set the period register to 40 seconds.

Int MCTi; / / Define the inspection cycle control limit i under the manual setting mechanism.

Double CA; / / define the acceleration control limit.

Double CFA; / / define the vibration coefficient control limit.

Double CCV; / / define the coefficient of control of the coefficient.

Double CCN; / / define the network convergence coefficient control limit.

Double CRRF; / / define the reader read and write range control limits.

Long double ST; / / define the standard time acquisition value.

Long double PDSWEi; / / define the longitude control parameter i of the geographical location.

Long double PDSNSi; / / geographical location latitude control parameter i;

Long double PDSHi; / / geographical location altitude control parameter i;

Long double ASSAi; / / acceleration control parameters i;

Long double SSFAi; / / vibration coefficient control parameter i;

Long double NCMCVi; / / doping coefficient control parameter i;

Long double NCMCNi; / / network convergence coefficient control parameter i.

Long double Ta; / / define the arrival time, as shown in Figure 28 Ta.

Long double To; / / define the static time, as attached to 28 To.

Long double Tl; / / define the leave time, as shown in Figure 28 Tl.

Long double DT; / / time operation variables.

Long double PDS_WE; / / longitude acquisition parameters of the geographical location;

Long double PDS_NS; / / latitude acquisition parameters of the geographic location;

Long double PDS_H; / / location altitude acquisition parameters;

Long double ASS_a; / / acceleration acquisition parameters;

Long double SS_fa; / / vibration coefficient acquisition parameters;

Long double NCM_cv; / / doping coefficient acquisition parameters;

Long double NCM_cn; / / network convergence coefficient acquisition parameters.

If(ASS_a<0)

{

Ta=ST;

PDSWEa=PDS_WE

PDSNSa=PDS_NS

PDSHa=PDS_H

}//.

If(ASS_a==0)

{

To=ST;

PDSWE0=PDS_WE

PDSNS0=PDS_NS

PDSH0=PDS_H

}//.

If(ASS_a>0)

{

Tl=ST;

PDSWEl=PDS_WE

PDSNSl=PDS_NS

PDSHl=PDS_H

}//.

{

If(PDS_WE-CRRF<EV_G1_WE<PDS_WE+CRRF; PDS_NS-CRRF<EV_G1_NS<PDS_NS+CRRF; PDS_H-CRRF<EV_G1_H<PDS_H+CRRF)//When the position is at the level of the empirical coordinate position, the patrol period is set to 2 minutes. 1 time

{CT=120;};

If(PDS_WE-CRRF<EV_G2_WE<PDS_WE+CRRF; PDS_NS-CRRF<EV_ G2_NS<PDS_NS+CRRF; PDS_H-CRRF<EV_G2_H<PDS_H+CRRF)//When the position is at the level of the empirical coordinate position, the inspection cycle is set to 5 minutes for 1 minute inspection.

{CT=300};

. . . ;

If(PDSWE-CRRF<EV_Gi_WE<PDSWE+CRRF; PDSNS-CRRF<EV_Gi_NS<PDSNS+CRRF; PDSH-CRRF<EV_Gi_H<PDSH+CRRF;To>=CT;)//When the position is at the level of the empirical coordinate position, the inspection The period is set to XTBC minutes each time, and XTBC refers to a value to be determined based on empirical accumulation, for example, according to the empirical patrol period table (Fig. 29).

{CT=XTBC};

Cout.TSF=CT

}

ELSE CT=MCTi

{

DT=|Tl-Ta|

If(DT>CT;

If (SS_fa>=CFA)//When the vibration coefficient exceeds the limit, the inspection is performed immediately.

{Cout<<cout_TSF=0<<endl;}

If (NCM_cv>=CCV)//When the coefficient of the coefficient exceeds the limit, the inspection is performed immediately.

{Cout<<cout_TSF=0<<endl;}

If (NCM_cn>=CCN)//When the network convergence coefficient exceeds the limit, the inspection is performed immediately.

{Cout<<cout_TSF=0<<endl;}//.

The above control signal TSF, port response characteristics are:

Cout.TSF=0 corresponds to the port Trigger.time==0; specified as: Perform a patrol immediately;

Cout.TSF=60 corresponds to the port Trigger.time==1; specified as: Perform a patrol every 1 minute;

Cout.TSF=300 corresponds to the port Trigger.time==5; specified as: Perform a patrol every 5 minutes;

. . .

Cout.TSF=n corresponds to the port Trigger.time==n/60; specified as: Perform a patrol every n/60 minutes.

0-1-2.2-3.1-5 The above-mentioned set of separate identification signal acquisition methods, including: distance and inspection range Separation identification method, pinch separation identification method, occlusion separation identification method, handwriting attenuation separation identification method, virtual label separation identification method.

The distance and inspection range separation identification method described in 0-1-2.2-3.1-5.1-0 refers to the readable and readable by the terminal software according to the transmission power and model technical characteristics of the RFID reader. Scope, when the RFID tag is away from or disappears in the readable range, the identification signal fed back by the reader/writer and the computing unit (where the identification: refers to the trigger identification of the RFID tag signal or the storage of the code and the reading of the information in the RFID tag) Identification; range: including distance and spatial extent).

The finger-pinch separation identification method described in 0-1-2.2-3.1-5.2-0 is to directly pinch a certain part of the carrier such as paper (blocking the RFID tag embedded in the carrier such as paper) by finger to isolate the RFID reading. The writer communicates with the RFID tag's radio frequency identification magnetic field to achieve the purpose of separation and identification (see Figure 2).

The occlusion separation identification method described in 0-1-2.2-3.1-5.3-0 is to block RFID reading and writing by obscuring a certain part of the carrier such as paper (blocking the RFID tag embedded in the carrier such as paper). The device communicates with the RFID tag's radio frequency identification magnetic field to achieve the purpose of separation and identification (see Figure 3).

The handwriting attenuation separation identification method described in 0-1-2.2-3.1-5.4-0 is to thicken a certain part of the carrier such as paper by a magnetic powder fluorescent handwriting, and to reduce the RFID tag embedded in the carrier such as paper by reducing the magnetic field strength material. The method of wirelessly identifying the magnetic field communication signal with the RFID reader to achieve the purpose of separation and identification (Fig. 4).

The virtual tag separation and identification method described in 0-1-2.2-3.1-5.5-0 collects the RFID tag encoding/encoding mechanism through the Internet information system, and identifies the corresponding physical object through the Internet information collecting terminal and the separate alarm and collective control mechanism. The method of RFID tag signal is as shown in Figure 20).

0-1-2.2-3.2-5 The above-mentioned set of collective identification signal acquisition methods, including: distance and patrol range set identification method, pinch set recognition method, occlusion set identification method, handwriting enhanced set identification method, virtual tag set identification law.

The distance and patrol range set identification method described in 0-1-2.2-3.2-5.1-0 refers to setting and controlling the RFID tag by the terminal software according to the transmit power and model technical characteristics of the RFID reader/writer. The readable range, the identification signal fed back by the reader/writer and the arithmetic unit when the RFID tag returns or appears in the readable range (where the identification: refers to the trigger identification of the RFID tag signal or the storage of the code and information in the RFID tag) Read recognition; range: contains distance and stereo space range). .

The pinch collection identification method described in 0-1-2.2-3.2-5.2-0 is to separate a paper or the like by a finger. The location (exposure of the RFID tag embedded in the carrier such as paper) to obtain the radio frequency identification magnetic field communication between the RFID reader and the RFID tag to achieve the purpose of collective identification (see Figure 2).

The occlusion set identification method described in 0-1-2.2-3.2-5.3-0 is to remove an RFID reader from a certain part of the carrier such as a paper (exposing an RFID tag embedded in a carrier such as paper) to obtain an RFID reader/writer. A method of communicating with a radio frequency identification magnetic field of an RFID tag to achieve the purpose of collective identification (see Figure 3).

The handwriting enhancement recognition method described in 0-1-2.2-3.2-5.4-0 is to reduce the magnetic field strength sensitive material by reducing the magnetic powder fluorescent handwriting of a certain part of the carrier such as paper to enhance the embedded in the carrier such as paper. The RFID tag and the RFID reader's radio frequency identification magnetic field communication signal achieve the purpose of collective identification (see Figure 4).

The virtual tag set identification method described in 0-1-2.2-3.2-5.5-0 collects the RFID tag encoding/encoding mechanism through the Internet information system, and identifies the corresponding physical object through the Internet information collecting terminal and the separate alarm and collective control mechanism. Method of RFID tag signal (as shown in Figure 20).

0-1-2.2-3.3-4 The above-mentioned method and system for separating and collecting identification signals into the Internet and integrating the use of data information, including: smart shopping payment and wealth management trace method, logistics express delivery and data management method, carrying Behavior analysis and augmented reality methods, paper interaction behavior analysis and teaching systems.

0-1-2.2-3.3-4.1-4 The smart shopping payment and wealth management traceability method includes: scan code off-pile mode, self-scan code off-pile mode, self-scan code separation mode, "O2O" mode (if attached) Figure 5).

0-1-2.2-3.3-4.1-4.1-0 The aforementioned scan code off-pile mode is achieved by the scheme as described in FIG.

0-1-2.2-3.3-4.1-4.2-0 The aforementioned self-scanning code off-pile mode is implemented by the scheme as described in FIG.

0-1-2.2-3.3-4.1-4.3-0 The aforementioned self-scan code separation mode is implemented by the scheme as described in FIG.

0-1-2.2-3.3-4.1-4.4-0 The aforementioned "O2O" mode is achieved by the scheme as described in FIG.

0-1-2.2-3.3-4.2-2 The logistics express delivery and data management methods, including the separation of objects (packages/packages) and collective handover monitoring mechanism, and the national express delivery mode.

0-1-2.2-3.3-4.2-2.1-0 The foregoing object (shipment/package) separation and collective handover monitoring mechanism is realized by the scheme as shown in (40) of FIG.

In particular, for metal and valuable materials, liquids and other magnetic field-consuming media objects, TGAPP preferably monitors the communication protocol of 2.4G wireless band of mechanism 2 (band switching) and combines monitoring mechanism 1 (smart trigger) and monitoring mechanism 3 (launch) Power adjustment) Set the corresponding RF inspection range (r(RF)) for intelligent inspection and control. In particular, r(RF) may contain phase parameters of the cone radio frequency (phase angle: φ, The launching wheelbase: l, the patrol rate is 90% of the cladding radius: r).

0-1-2.2-3.3-4.2-2.2-0 The foregoing universal express delivery mode is realized by the scheme as shown in (39) of FIG. 9 , and the data information management algorithm scheme thereof is as shown in FIG. 20 (TG virtual label circulation retrospective analysis) Algorithm) implementation.

The carrying behavior analysis and augmented reality method (Fig. 1) described in 0-1-2.2-3.3-4.3-0 is achieved by the following steps:

Step 1: Store and manage the object carrying history through the application of the data collection terminal (TGAPP);

Step 2: The Internet cloud platform stores the object management history database; integrates the shared similar experience data; collects the time domain and environmental condition parameters;

Step 3: Data matching of time, geographical location, and empirical conditions through the data information of step 2 (augmented reality intelligent analysis algorithm), intelligent complementary aggregation (TagARDeamnd 1, Tag ARDeamnd 2, Tag ARDeamnd) obtained by surrounding aggregation or historical experience requirements n) Make a decision, get the corresponding object or scene information, and collect the matching RFID code (push Tag ARDemand).

The paper interaction behavior analysis and teaching system described in 0-1-2.2-3.3-4.4-4 is realized by the scheme as shown in (25) of Figure 1, which is a set of integrated and auxiliary teaching modes inside and outside the school (within and outside the school) As shown in Figure 10). The model includes: cloud monitoring intelligent teaching system, in-class synchronous thinking teaching monitoring mechanism, intra-school self-discipline learning mechanism, and magnetic field assisted teaching system.

0-1-2.2-3.3-4.4-4.1-0 The aforementioned cloud monitoring intelligent teaching system is realized by the scheme as shown in (42) of FIG. 1.

0-1-2.2-3.3-4.4-4.2-1 The above-mentioned in-class synchronous thinking teaching monitoring mechanism is realized by the scheme as shown in FIG. 11, and also includes the TG synchronous thinking teaching analysis algorithm (such as FIG. 21 and FIG. 22). ).

The synchronous thinking teaching described in 0-1-2.2-3.3-4.4-4.2-1.1-3 refers to a set of information trigger signal collection schemes, a set of monitoring and feedback behavior information schemes, and is scheduled and executed by the TGAPP information matching analysis system. / Mechanisms that are propagated to the multimedia terminal interface (see Figure 11).

A set of information trigger signal acquisition schemes described in 0-1-2.2-3.3-4.4-4.2-1.1-3.1-0, including one or a combination of the following four.

(1) In the class, information such as teaching multimedia information, external environmental condition information, teacher password/instruction behavior information (including sound and electric trigger) collected by the TGAPP teaching information processing system is converted into a trigger signal (see Figure 18, Figure 19).

(2) In the extra-curricular (in-school), it is triggered by the public information or help information shared or sent by the TGAPP smart wallet user collected by the TGAPP cloud platform, as shown in (19) of FIG.

(3) Outside the classroom (off-campus), it is triggered by the wireless RFID communication continuously or periodically monitoring the radio wave attenuation signal (as shown in Figure 7.3), and the TG paper behavior analysis and auxiliary correction algorithm (attached) Figure 23) Process analysis and output.

(4) In particular, for the lower grade students (children, primary schools, and caregivers), the trigger signal is also set up on the full-time TGAPP cloud data platform covering both inside and outside the classroom and on campus (as shown in Figure 1 (42). ), (43), (45)).

In the above erection, the data acquisition part adopts the aforementioned set of separate identification signal acquisition methods (Fig. 25, 27), a set of collective identification signal acquisition methods (Fig. 25, 27), and the RFID data acquisition sensor solution (Fig. 25). 27) Collect data and access the Internet.

A set of monitoring and feedback behavior information schemes described in 0-1-2.2-3.3-4.4-4.2-1.1-3.2-0 refers to the collection of characteristic parameters of interaction behavior between people and paper, the collection is through the aforementioned group Separating the identification signal and a set of set identification signals, combined with RFID communication technology, real-time object recognition and acquisition of people's interaction with paper (as shown in FIG. 11 and FIG. 4).

The TGAPP information matching analysis system scheduling execution described in 0-1-2.2-3.3-4.4-4.2-1.1-3.3-0 is implemented by one or two of the following two types:

(1) an information processing system comprising the TG synchronous thinking teaching analysis algorithm as shown in FIG. 21 and FIG. 22;

(2) The intelligent auxiliary teaching device comprising the TG smart wallet (teaching version) shown in Fig. 14 is realized by a magnetic field assisted teaching system constructed by combining TG paper behavior analysis and auxiliary correction algorithm (Fig. 23).

0-1-2.2-3.3-4.4-4.3-0 The above-mentioned intramural mutual self-discipline learning mechanism, through the equivalent of the scheme as shown in Figure 10 (41) combined with the TGAPP cloud data platform (Figure 1) The program is implemented.

0-1-2.2-3.3-4.4-4.4-0 The magnetic field assisted teaching system described above is implemented by a smart auxiliary teaching device (Fig. 14) combined with a TG paper behavior analysis and an auxiliary correction algorithm (Fig. 23).

DRAWINGS

In order to increase the logic and typesetting clarity of copywriting, the layout logic of the manuals listed in this case has a "nested enlargement" relationship, that is, the toothed box in the single picture is framed, followed by The figure number is "magnified". For example: the finger pinch separation identification method in Figure 1, using the toothed square The frame is labeled as (21), and the subsequent FIG. 2 is an enlarged view thereof. The numbers in () in the following description of the drawings list the trace relationship between the nested drawings.

Figure 1: Functional overview diagram;

(21) refers to pinch separation identification method;

(22) occlusion separation identification method;

(20) handwriting attenuation separation identification method & magnetic field assisted teaching system;

(24) Smart shopping payment and financial management traceability methods;

(25) Comprehensive and auxiliary teaching mode inside and outside the school;

(27) TG multi-function mobile phone;

(26) TG Smart Wallet (fashion version);

(43) Separation and aggregation signal Internet access method (student mode);

(45) Separation and aggregation signal Internet access method (elderly mode).

Figure 2: Finger pinch separation identification method (21);

(Tag7.1.1): an example of printing an RFID tag;

(Tag7.1.2): Example of printing an RFID tag (referred to as the isolated communication part);

(Tag7.1.3): An example of printing an RFID tag.

Figure 3: occlusion separation identification method (22);

(Tag7.2.1): an example of printing an RFID tag;

(Tag7.2.2): Example of printing an RFID tag (blocking the isolated communication part by a spacer);

(Tag7.2.3): An example of printing an RFID tag.

Figure 4: Handwriting attenuation separation identification & magnetic field assisted instruction system (20).

Figure 5: Smart shopping payment and wealth management method (24);

(30): scan code away from pile mode;

(31): self-scanning code away from pile mode;

(32); self-scan code separation mode;

(33): "O2O" mode.

Figure 6: Scanning code away from pile mode (30).

Figure 7: Self-scanning code off-pile mode (31).

Figure 8: Self-scan code separation mode (32).

Figure 9: "O2O" mode (33);

(OR1), (OR2), (OR3), (OR4): When the data information processing software is developed and designed, the tree logic decision determiner/instruction code reads the jump character;

(Label code and information system information control element in the figure): See Figure 20 (TG virtual tag flow retrospective analysis algorithm);

(Patented): Indicates that the technical solution for the target object has been included in the applicant's patent protection or in the scope of application. When it is applied to the application plan proposed in this case (such as data processing implementation method), the case has superposition protection for property rights. range;

(28): the lunch box is indicated;

(28.1): parameter/link/object identification tag for the consumer (food) container (as shown in Figure 9 of 28);

(28.2): a parameter/link/object-identified anti-breakage label for the consumer (food) container (as shown in Figure 9 of Figure 28);

(29): anti-breakage label for parameter/link/object identification of the eating position (usually understood as tray, table number or other menu);

(34) Adaptive magnetic field emission belt.

Figure 10: In-class and out-of-class and integrated teaching mode inside and outside the school (25);

(4): PPT presentation area of the teaching multimedia system (projection screen interface);

(5): classroom progress area of the teaching multimedia system (projection screen interface);

(6): The absence area of the teaching multimedia system (projection screen interface);

(18): Using the RFID radio frequency identification separation alarm and the collective control function to inspect the teacher's filing data;

(19): Using RFID radio frequency identification separation alarm and collection control function Students in the extracurricular library mutual help / self-learning (such as: management data, communication exchange learning difficulties)

(23): Monitoring mechanism for synchronous thinking teaching in class

(20): handwriting attenuation separation identification method & magnetic field assisted teaching system

(21): finger pinch separation identification method

(22): occlusion separation identification method

(41): Mutual self-discipline learning mechanism in schools.

Figure 11: In-class synchronous thinking teaching monitoring mechanism (23);

(3): Printing RFID textbook code map

(9): Printing RFID paper data coding diagram

(4): PPT presentation area of the teaching multimedia system (projection screen interface);

(5): classroom progress area of the teaching multimedia system (projection screen interface);

(6): The absence area of the teaching multimedia system (projection screen interface);

(14): an instant statistical chart of the classroom practice of the teaching multimedia system (projection screen interface);

(1): A daily backpack loaded with a TG multifunction mobile phone (or TG smart wallet);

(2): wall-mounted RFID reader (high power);

(2.1): RFID radio frequency signal acquisition and communication indication 1;

(2.2): RFID radio frequency signal acquisition and communication diagram 2;

(2.3): RFID radio frequency signal acquisition and communication diagram 3;

(2.n): RFID radio frequency signal acquisition communication diagram n;

(3, 3.1, 3.2, 3.3, 3.4, 3.5, 3.n): Textbooks produced using printed RFID tag technology (see Figure 16 for details);

(9, 9.1, 9.2, 9.3, 9.4, 9.5, 9.n): Textbooks produced using printed RFID tag technology (see Figure 17 for details);

(7, 7.1, 7.2, 7.3, 7.n): refers to the students in the classroom according to their own operating habits (refer to pinch separation identification, occlusion separation recognition, handwriting attenuation separation identification) in accordance with the teacher's password / thinking (see attached Figure 18) or an instructional instruction such as a page jump of the multimedia teaching system (see Figure 19) or an external cloud monitoring intelligent teaching system (Fig. 1 of 42) performs a particular paper interaction;

(8): The information interaction between the TG multi-function mobile phone (or TG smart wallet) and the wall-mounted RFID reader is indicated.

Figure 12: TG multi-function mobile phone (27);

(27.1): RFID reader module;

(27.2): RFID transmitting antenna;

(27.3): embedded high performance battery;

(27.4): display;

(27.5): mobile phone signal / mobile network receiving antenna, in particular, when the 27.6 button is turned on, as an RFID radio frequency signal auxiliary transmitting antenna;

(27.6): RFID radio frequency signal patrol transmission mode switching button;

(27.7): Enable external access Wifi signal flow switching button;

(27.8): Mobile network communication module, including an admission ID card (SIM card) insertion port;

(27.9): Bluetooth signal module and enable toggle button;

(27.10): Mobile network traffic conversion Wifi access and transmission switching button, including IN, OUT indicator;

(27.11): GPS positioning module;

(27.12): voice call (headset) access port;

(27.13): multimedia interface, including RF transmit epitaxial antenna terminals;

(27.14): mobile phone call, data information input button;

(27.15): RFID patrol mode handshake handle slot.

Figure 13: TG Smart Wallet Fashion Edition (26);

(Patented): Indicates that the technical solution for the target object has been included in the applicant's patent protection or in the scope of application. When it is applied to the application plan proposed in this case (such as data processing implementation method), the case has superposition protection for property rights. range.

Figure 14: TG Smart Wallet (Teaching Edition) / Smart Assisted Instructional Device.

Figure 15: Adaptive magnetic field emission belt (34);

(34.1): adaptive magnetic field emission belt body;

(34.2): Intelligent RFID mobile terminal docking interface, including RF transmitting epitaxial antenna terminal (mother/public port);

(34.3): an active docking patrol antenna (rolling ball) with embedded adaptive magnetic field emission belt body and its guide rail;

(34.5): The RFID transmits a magnetic field communication signal.

Figure 16: Printed RFID textbook code diagram (3).

Figure 17: Printed RFID paper data coding diagram (9);

(13, 13.1, 13.2, 13.3, 13.4, 13.5, 13.6, . . . , 13.n): RFID chips based on paper printed content/information and their typesetting.

Figure 18: Teacher preparation lesson table.

Figure 19: Flow chart and functional mechanism diagram of the synchronous thinking teaching system in class.

Figure 20: TG virtual tag flow traceability analysis algorithm.

Figure 21: TG synchronous thinking teaching analysis algorithm;

(TBC): Communication patrol mechanism and TG synchronization thinking algorithm based on RFID reader patrol communication standard protocol (such as: ISO/IEC 18000 series standard).

Figure 22: TG Synchronous Thinking Teaching Analysis Algorithm (continued);

(TBC): Communication patrol mechanism and TG synchronization thinking algorithm based on RFID reader patrol communication standard protocol (such as: ISO/IEC 18000 series standard).

Figure 23: TG paper behavior analysis and auxiliary correction algorithm;

(NA): not applicable to cells;

(NULL): Information to be filled in by default or known requirements.

Figure 24: Other RFID tag index in this case.

Figure 25: Separation and aggregation signal Internet access method (student mode) (43);

(44) Label attachment scheme.

Figure 26: Label attachment scheme (44);

(Patented): Indicates that the technical solution for the target object has been included in the applicant's patent protection or in the scope of application. When it is applied to the application plan proposed in this case (such as data processing implementation method), the case has superposition protection for property rights. range.

Figure 27: Separation and aggregation signal Internet access method (old mode) (45);

(TGAPP): A data information application running on the mobile information processing terminal/PC side developed based on the functions, technical points and algorithms described in the present application.

Figure 28: Control method and parameter diagram.

Figure 29: Empirical inspection cycle table.

Figure 30: Intelligent Motion Monitoring System (SSM1).

detailed description

The technical solutions involved in this case can be achieved through the following three parts and related steps.

The first part, the trigger control method:

One implementation manner is to integrate the method of the present invention into an intelligent anti-forgotten leather wallet equipped with an RFID reader, and the integration scheme is as follows.

Solution one step:

(1) Positioning parameter acquisition device PDS and MCU module electrical connection or wireless communication connection (including RFID radio frequency identification communication).

(2) The momentum sensor ASS is electrically connected or wirelessly connected to the MCU module (including RFID radio frequency identification communication).

(3) The seismograph SS and the MCU module are electrically connected or wirelessly connected (including RFID radio frequency identification communication).

(4) Node aggregation patrol NCM and MCU module electrical connection or wireless communication connection (including RFID radio frequency identification communication).

(5) Summarize the time points and geographic locations where people often forget things or lose things, compile empirical value EV data packets, and burn them into MCU registers.

(6) Electrically connect or wirelessly connect the MCU module with other control modules (such as RFID transmitter modules) (including RFID radio frequency identification communication).

Step 2 of the plan:

(1) Integrate the positioning parameter collector PDS, the momentum sensor ASS, the seismometer SS, and the node aggregation patrol NCM into a trigger sensing module through an integrated wiring harness (STCLL), and electrically connect or wirelessly connect with the MCU module (including RFID radio frequency identification communication).

(2) Summarize the time points and geographic locations where people often forget things or lose things, compile empirical value EV data packets, and burn them into MCU registers.

(3) Electrically connect or wirelessly connect the MCU module with other control modules (such as RFID transmitter modules) (including RFID radio frequency identification communication).

Solution three steps:

A variety of physical health/physiological characteristic parameter acquisition devices such as a temperature monitor, a pulse sensor, a microvibration massager, and the like, or a momentum sensor ASS (and/or a seismometer SS), an RFID tag, or a separate Electrically connected to form a smart RFID tag (SmartTag i, as shown in Figure 1, 1, 2, 3, 4, 7), which is used when young people are running or other sports, or when the elderly are walking daily. The label is attached to the corresponding part of the body.

Integrating the method of the present invention (ie, STCL including PDS, ASS, SS, as shown in FIG. 30) into a sports smart wallet (SSW, as shown in FIG. 30) with an RFID reader, and The above-described smart RFID tag wireless communication (including RFID radio frequency identification communication) is connected and woven or flexibly connected to a flexible sports bandage (as shown in FIG. 30) to constitute a simple intelligent motion monitoring system (SSM1).

Solution four steps:

The smart RFID tag (one or more) in the above scheme 3 is implanted/embedded into a material suitable for contact with human skin, such as a glue stick, a webbing or a fiber fabric, and is sewn into a smart material/cloth SM (Smart). Material).

The method of the present invention (ie, STCL including PDS, ASS, SS, as shown in FIG. 30) is integrated into a high performance RFID reader and electrically connected into a smart RFID reader.

Sewing the above-mentioned smart material/cloth SM into the clothing TGW (TG Ware), intelligent RFID reader and intelligent material/cloth SM in the wireless RFID tag wireless communication connection (including RFID radio frequency identification communication) , constitute the Intelligent Motion Monitoring System (SSM2) and wear it on the body.

The second part, the hardware aspects of the Internet of Things/teaching system:

Manufacture of TG multi-function mobile phones (Fig. 12), manufacture of TG multi-function mobile phones (professional version) and adaptive magnetic field emission belts (Fig. 15), manufacture of TG smart wallets (fashion version), manufacture of TG smart wallets (teaching version) ).

The third part, the software and information system architecture of the Internet of Things/teaching system:

Develop the following TG information system:

(1) Develop a cloud monitoring intelligent teaching system (as shown in Figure 1 of Figure 42); configure a magnetic field-assisted teaching system (as shown in Figure 1 of Figure 20), configure separation and aggregate signal Internet access methods (student mode) (Figure 1 43), configuration separation and aggregate signal Internet access method (old model) (as shown in Figure 1 of 45); architecture TGAPP cloud data platform (as shown in Figure 1).

(2) Development of paper interaction behavior analysis and teaching system (independent version), as shown in Figure 1 of 25.

(3) Develop a smart shopping payment and wealth management system (Figure 24, Figure 1).

(4) Develop an augmented reality intelligent analysis algorithm (see Figure 1), integrated into the TGAPP Smart Wallet fashion application.

(5) Develop TGAPP “O2O” data platform based on TG virtual tag flow and traceability analysis algorithm (Fig. 20), integrated into smart shopping payment and wealth management traceability system.

Claims (26)

1. Separation, set identification signal Internet access method and Internet of Things/teaching system, including:

   A set of separate identification signal acquisition methods, a set of set identification signal acquisition methods, a set of methods for separating and integrating identification signals into the Internet and integrating data information, a method based on time domain, acceleration, motion frequency and node aggregation Trigger control method;

   The above-mentioned set of separate identification signal acquisition methods includes: distance and inspection range separation identification method, pinch separation identification method, occlusion separation identification method, handwriting attenuation separation identification method, virtual label separation and recognition method;

   The above method for collecting a set of identification identification signals comprises: a distance and a patrol range set identification method, a pinch set recognition method, an occlusion set identification method, a handwriting enhanced set identification method, and a virtual tag set identification method;

   The above-mentioned method and system for separating and collecting identification signals into the Internet and integrating the use of data information, including: smart shopping payment and wealth management traceability methods, logistics express delivery and data management methods, carrying behavior analysis and augmented reality methods, paper interaction Behavior analysis and teaching system.

   The above-mentioned trigger control method based on time domain, acceleration, motion frequency and node aggregation includes: collecting time domain parameters through a positioning parameter acquisition device (PDS), collecting acceleration parameters through a momentum sensor (AS), and passing seismic measurement The instrument (SS) collects the frequency of motion (vibration coefficient), collects the doping coefficient through the node aggregation patrol instrument (NCM) integrated audio sensor, and collects the network convergence coefficient by the network node detection mechanism, and electrically connects or wirelessly connects with the MCU control module (including RFID radio frequency identification communication constitutes a trigger sensing module, and controls the frequency and trigger mechanism of the RFID transmitting module through the program algorithm logic (STCL), thereby achieving the power consumption reduction and reducing the electromagnetic emission hazard of the whole machine under the premise of ensuring the anti-forgetting effect. the goal of.
2. The distance and inspection range separation and identification method according to claim 1, wherein the RFID tag is set and controlled by the terminal software according to the transmission power and model technical characteristics of the RFID reader, when the RFID tag is away from or The identification signal fed back by the reader/writer and the arithmetic unit when disappearing in the readable range (where the identification: refers to the trigger identification of the RFID tag signal or the storage code and the reading and identification of the information in the RFID tag; wherein the range: includes the distance And three-dimensional space range).
3. The finger pinch separation identification method according to claim 1, wherein the RFID reader and the RFID tag are isolated by directly pinching a part of the carrier such as paper (blocking an RFID tag embedded in a carrier such as paper) by a finger. Radio frequency identification magnetic field communication, a method for separation and identification purposes.
4. The occlusion and separation recognition method according to claim 1, wherein the RFID device is shielded from a part of the carrier such as paper (blocking an RFID tag embedded in a carrier such as paper) to isolate the RFID reader and the RFID tag. Identify magnetic field communications to achieve separation for other purposes.
5. The handwriting attenuation separation and recognition method according to claim 1, wherein the magnetic powder fluorescent handwriting is used to thicken a part of the carrier such as paper, and the material of the RFID tag and the RFID reader embedded in the carrier such as paper is weakened by the material of the demagnetizing field strength. Radio frequency identification of magnetic field communication signals for the purpose of separation and identification.
6. The distance and patrol range set identification method according to claim 1, which is to set and control the readable range of the RFID tag by the terminal software according to the transmit power and model technical characteristics of the RFID reader, when the RFID When the tag returns or appears in the readable range, the identification signal fed back by the reader/writer and the arithmetic unit (where the identification: refers to the trigger identification of the RFID tag signal or the storage code and the reading and identification of the information in the RFID tag; : Contains distance and stereo space range).
7. The finger pinch collection identification method according to claim 1, wherein a part of the carrier such as paper is separated by a finger (an RFID tag embedded in a carrier such as a paper is exposed) to obtain a radio frequency identification of the RFID reader/writer and the RFID tag. Magnetic field communication, a method of achieving the purpose of collective identification.
8. The occlusion set identification method according to claim 1, wherein the occlusion object is separated from a part of the carrier such as paper (exposing an RFID tag embedded in a carrier such as paper) to obtain radio frequency identification of the RFID reader/writer and the RFID tag. Magnetic field communication, a method of achieving the purpose of collective identification.
9. The handwriting enhanced recognition method according to claim 1, wherein the RFID tag and the RFID reader embedded in the carrier such as paper are enhanced by reducing the magnetic powder fluorescent handwriting of a portion of the carrier such as paper to reduce the quality of the magnetic field strength sensitive material. The method of radio frequency identification of magnetic field communication signals to achieve the purpose of collective identification.
10. The virtual tag separation and identification method and the virtual tag set identification method according to claim 1, wherein the RFID tag encoding/encoding mechanism is collected through the Internet information system, and the corresponding physical RFID is identified through the Internet information collecting terminal and the separate alarm and collective control mechanism. The method of labeling signals.
11. The smart shopping payment and wealth management tracing method according to claim 1, comprising: a scan code off-pile mode, a self-scan code off-pile mode, a self-scan code separation mode, and an “O2O” mode.
12. The method of logistics express delivery and data management according to claim 1, comprising a separation mechanism of the article (ship/package) and a collective handover monitoring mechanism, and a universal express delivery mode;

    The universal express delivery mode refers to a set of separate identification signal collection methods and a set of set identification according to claim 1 attached to the TG multi-function mobile phone or TG smart wallet (fashion version/teaching edition/professional version). A system consisting of a signal acquisition method and a TG virtual tag flow traceability analysis algorithm implements a system for multi-node delivery handover and information flow traceability of objects.
13. The portable behavior analysis and augmented reality method according to claim 1, comprising:

    Step 1: Store and manage the object carrying history through the application of the data collection terminal (TGAPP);

    Step 2: The Internet cloud platform stores the object management history database; integrates the shared similar experience data; collects the time domain and environmental condition parameters;

    Step 3: Data matching of time, geographic location, and empirical conditions through the data information of step 2 (augmented reality intelligent analysis algorithm), intelligent complementary aggregation (Tag ARDeamnd 1, Tag ARDeamnd 2, Tag obtained by surrounding aggregation or historical experience requirements) ARDeamnd n) Make a decision, get the corresponding object or scene information, and collect the matching RFID code (push Tag ARDemand).
14. The paper interaction behavior analysis and teaching system according to claim 1 is composed of a comprehensive auxiliary teaching mode inside and outside the school and a cloud monitoring intelligent teaching system, wherein the cloud monitoring intelligent teaching system refers to the TG smart wallet (teaching version) ) or magnetic field-assisted teaching system, TG multi-function mobile phone to collect separation and collection signals and upload to the Internet to form the TGAPP cloud data platform.
15. The in-class and out-of-class and in-class comprehensive auxiliary teaching mode according to claim 14, comprising: an in-class synchronous thinking teaching monitoring mechanism, a school mutual aid self-discipline learning mechanism, and a magnetic field assisted teaching system;

    The in-class synchronous thinking teaching monitoring mechanism transmits the in-class behavior characteristic data to the set of separated identification signal collecting method, a set of collective identification signal collecting method, and the in-class teaching behavior data collecting system according to claim 1. In-class synchronous thinking analysis system (including: TG smart wallet teaching version and TG synchronous thinking teaching analysis algorithm), and intelligent system for synchronous monitoring, feedback and analysis by the in-class synchronous thinking analysis system to dispatch multimedia teaching software system;

    The magnetic field assisted teaching system transmits the behavior characteristic data to the data analysis system (TG smart wallet teaching version) by a set of separated identification signal collecting methods and a set of collective identification signal collecting methods according to claim 1. The TG paper behavior analysis and the auxiliary correction algorithm modulate/demodulate the electromagnetic field wave and output it to the human brain for brain wave intervention.
16. The TG multi-function mobile phone according to claim 1, claim 11 to claim 15, wherein the technical structure is characterized by: a structure comprising an RFID transmitting antenna and a mobile phone signal/mobile network receiving antenna, and the RFID transmitting antenna wraps the mobile phone. Signal/mobile network signal processing unit; its technical application feature is: RFID transmitting antenna is a full-dimensional emission inclusion body of radio magnetic field, used for transmitting object recognition or information interaction radio frequency identification electromagnetic field signal, mobile phone signal / mobile network receiving antenna is scalable Antenna, when the aforementioned scalable antenna is extended, the mobile phone signal/mobile network signal can break through the aforementioned object recognition or information interaction radio frequency identification electromagnetic field signal and receive the aforementioned mobile phone signal/mobile network signal, and finally Achieve hardware-based defense against electromagnetic attacks and protect information security. A functional device consisting of the above technical structural features and technical application features, or a known modification/technical improvement of the foregoing technical structure/application feature equivalent replacement or appearance functional structural feature, applied to other information security protection devices or applied to students/offices The components of stationery (such as pen case) are included in the scope of protection of the present invention.
17. A trigger control method based on time domain, acceleration, motion frequency and node aggregation according to claim 1, comprising: collecting time domain parameters by a positioning parameter acquisition device (PDS), and collecting acceleration by a momentum sensor (AS) Parameters, collection of motion frequency (vibration coefficient) by the seismograph (SS), acquisition of the doping coefficient by the node aggregation patrol instrument (NCM) integrated audio sensor, and network node detection mechanism to collect the network convergence coefficient, and electrically connected with the MCU control module or A wireless communication connection (including RFID radio frequency identification communication) constitutes a trigger sensing module, and devices for controlling other execution units through program algorithm logic (STCL) are included in the scope of protection of the present invention.
18. The method for triggering control based on time domain, acceleration, motion frequency and node aggregation according to claim 1, comprising: collecting time domain parameters and electrical connection or wireless communication connection with the MCU control module through a positioning parameter acquisition device (PDS) (Including RFID Radio Frequency Identification Communication) A device that constitutes a trigger sensing module and controls the execution unit through Program Algorithm Logic (STCL) is included in the scope of protection of the present invention.
19. The method for triggering control based on time domain, acceleration, motion frequency and node aggregation according to claim 1, comprising: collecting acceleration parameters through a momentum sensor (AS) and electrically or wirelessly connecting with the MCU control module (including RFID Radio Frequency Identification Communication) A device that constitutes a trigger sensing module and controls the execution unit through Program Algorithm Logic (STCL) is included in the scope of protection of the present invention.
20. A trigger control method based on time domain, acceleration, motion frequency and node aggregation according to claim 1, comprising: collecting a motion frequency (vibration coefficient) through a seismograph (SS) and electrically connecting to the MCU control module or A wireless communication connection (including RFID radio frequency identification communication) constitutes a trigger sensing module, and means for controlling the execution unit through program algorithm logic (STCL) is included in the scope of protection of the present invention.
21. A trigger control method based on time domain, acceleration, motion frequency and node aggregation according to claim 1, comprising: collecting an electrical connection or a wireless communication connection between the doping coefficient and the MCU control module through an audio sensor (including RFID radio frequency identification communication) The device that constitutes the trigger sensing module and controls the execution unit through the program algorithm logic (STCL) is included in the scope of protection of the present invention.
22. A trigger control method based on time domain, acceleration, motion frequency and node aggregation according to claim 1, comprising: collecting a network convergence coefficient through a network node detection mechanism and electrically connecting to the MCU control module or A wireless communication connection (including RFID radio frequency identification communication) constitutes a trigger sensing module, and means for controlling the execution unit through program algorithm logic (STCL) is included in the scope of protection of the present invention.
23. A trigger control method based on time domain, acceleration, motion frequency and node aggregation according to claim 1, comprising: an arithmetic module or an automatic control unit formed by an integrated program algorithm logic (STCL) through other data acquisition mechanisms, It belongs to the scope of protection of the present invention.
24. A method for triggering control based on time domain, acceleration, motion frequency and node aggregation according to claim 1, comprising: passing the intelligent motion monitoring system (SSM1) or the smart RFID tag and its unit, structure, The scheme, the arithmetic module or the automatic monitoring system composed of the integrated program algorithm logic (STCL), belongs to the scope of protection of the present invention.
25. A trigger control method based on time domain, acceleration, motion frequency and node aggregation according to claim 1, comprising: directly using an intelligent motion monitoring system (SSM2), and/or using the smart material/clothing described by SSM2 (SM) and its units, structures, and schemes are commercially available with Program Algorithm Logic (STCL), which fall within the scope of the present invention.
26. The method and system of any one of claims 1 to 25, regardless of the premise, object, use of the method, and the application of equivalent replacement/changes made to the method/system, are all included in the scope of the present invention.

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