CN114468396B - Portable electronic atomizer based on regional signal transceiver and use method - Google Patents
Portable electronic atomizer based on regional signal transceiver and use method Download PDFInfo
- Publication number
- CN114468396B CN114468396B CN202210326711.2A CN202210326711A CN114468396B CN 114468396 B CN114468396 B CN 114468396B CN 202210326711 A CN202210326711 A CN 202210326711A CN 114468396 B CN114468396 B CN 114468396B
- Authority
- CN
- China
- Prior art keywords
- dimensional data
- positioning
- target
- information
- smoking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 230000000391 smoking effect Effects 0.000 claims abstract description 74
- 239000013598 vector Substances 0.000 claims abstract description 68
- 238000004364 calculation method Methods 0.000 claims abstract description 35
- 241000792765 Minous Species 0.000 claims abstract description 14
- 230000003993 interaction Effects 0.000 claims abstract description 4
- 239000000779 smoke Substances 0.000 claims description 16
- 230000004913 activation Effects 0.000 claims description 14
- 238000012795 verification Methods 0.000 claims description 10
- 238000012549 training Methods 0.000 claims description 9
- 238000004422 calculation algorithm Methods 0.000 claims description 8
- 238000003064 k means clustering Methods 0.000 claims description 7
- 239000000203 mixture Substances 0.000 claims description 3
- 230000006399 behavior Effects 0.000 claims description 2
- 239000006199 nebulizer Substances 0.000 claims 3
- 239000003571 electronic cigarette Substances 0.000 abstract description 10
- 230000000875 corresponding effect Effects 0.000 description 63
- 230000006870 function Effects 0.000 description 10
- 230000001276 controlling effect Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
- A24F—SMOKERS' REQUISITES; MATCH BOXES; SIMULATED SMOKING DEVICES
- A24F40/00—Electrically operated smoking devices; Component parts thereof; Manufacture thereof; Maintenance or testing thereof; Charging means specially adapted therefor
- A24F40/65—Devices with integrated communication means, e.g. wireless communication means
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The invention provides a portable electronic atomizer based on a regional signal transceiver and a use method thereof, wherein the use method comprises the following steps: receiving n pieces of positioning information and corresponding positioning time; forming three-dimensional data of each smoking according to the positioning information and the positioning time; carrying out data clustering on the three-dimensional data to obtain a plurality of clustering centers; calculating according to a formula to obtain an attention vector; weighting each three-dimensional data to obtain target three-dimensional data; weighting calculation is carried out on at least two target three-dimensional data to obtain target feature vectors; acquiring school position information closest to the school based on the positioning information and a work and rest schedule; inputting a plurality of target feature vectors and school position information and a work and rest schedule into a minous smoking judgment model to obtain a judgment result of whether a smoker is a minous; and carrying out interaction according to the judging result to confirm whether the smoking authority is received or not. Through the scheme provided by the application, the electronic cigarette sucking trend of teenagers can be restrained.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a portable electronic atomizer based on a regional signal transceiver and a use method thereof.
Background
In recent years, the use rate of electronic cigarettes in the world is continuously improved and the trend of younger people is presented, more and more young people start to try the electronic cigarettes and gradually transfer to minors, the minors are props of future society of China, smoking sites of the electronic cigarettes are not needed to be formed in campuses, however, the supervision of the electronic cigarettes of teenagers is only carried out through parents and teachers, and the supervision mode cannot well inhibit the trend of the electronic cigarettes of teenagers.
Disclosure of Invention
The invention mainly aims to provide a portable electronic atomizer based on a regional signal transceiver and a use method thereof, aiming at solving the problem that the traditional mode can not inhibit the trend of electronic cigarettes of teenagers.
The application provides a use method of a portable electronic atomizer based on a regional signal transceiver, wherein the portable electronic atomizer is provided with a control unit, a regional signal transceiver connected with the control unit, a GPS positioning unit and an electronic atomizer body, the electronic atomizer body is in data connection with the GPS positioning unit, the GPS positioning unit is in data connection with the regional signal transceiver, the GPS positioning unit is used for sending a positioning signal to the control unit after smoking of the electronic atomizer body occurs, the regional signal transceiver is in data connection with an external system, wherein when the control unit receives smoking rights granted by the external system, the control unit controls the electronic atomizer body to work, otherwise, the electronic atomizer body cannot work; the using method comprises the following steps:
The control unit receives n pieces of positioning information sent by the GPS positioning unit and positioning time corresponding to the positioning information; wherein the positioning time is a time division representation mode;
forming three-dimensional data of each smoking according to the positioning information and the positioning time; three dimensions of the three-dimensional data are longitude and latitude of the positioning information and time dimension of the positioning time respectively;
carrying out data clustering on the three-dimensional data through a preset k-means clustering algorithm to obtain a plurality of clustering centers of the three-dimensional data;
calculating the reciprocal Z of the distance between each three-dimensional data and the corresponding clustering center after adding 1;
according to the formula m=σ (W 2 δ(W 1 Z))＝[m 1 ，m 2 ，...，m l ，...，m c ]Calculating to obtain an attention vector; wherein m represents an attention vector, m l Attention weight value, W, representing the first channel 2 And W is 1 Representing preset parameters, sigma represents an activation function of a ReLU, and delta represents a Sigmoid activation function;m c an attention weight value representing a c-th channel, c representing the number of channels;
weighting each three-dimensional data through the attention vector to obtain weighted target three-dimensional data;
weighting calculation is carried out on at least two target three-dimensional data according to a preset one-dimensional weighting column vector, so that a plurality of corresponding target feature vectors are obtained; wherein the weighting calculation is performed by D=P T concat(M 1 °M 2 ，M 1 °M 3 ，M 2 °M 3 ，...，M n-1 °M n ) Where n represents the number of target three-dimensional data, M n Representing nth target three-dimensional data, wherein P is the one-dimensional weighted column vector, A DEG B represents Hadamard product operation on the feature graphs A and B, and D represents a target feature vector;
acquiring school position information closest to the positioning information and a corresponding work and rest schedule based on the positioning information;
inputting the target feature vectors, the school position information and the corresponding work and rest time table into a preset minous smoking judgment model to obtain a judgment result of whether a smoker is a minous; the minors smoking judgment model is trained according to a plurality of training target feature vectors, corresponding school position information and corresponding work and rest time;
and the judging result is interacted with an external system through the area signal transceiver so as to confirm whether smoking authority is received or not.
Further, before the step of composing the three-dimensional data of each smoking according to the positioning information and the positioning time, the method further comprises:
calculating the average value of the distances between each three-dimensional data and other three-dimensional data;
according to the formulaCalculating a discrete value of each three-dimensional data; wherein L is i Representing the discrete value of the ith three-dimensional data, μ representing the average of n three-dimensional dataValue of-> Gamma represents the standard deviation of n three-dimensional data, andx i representing the ith three-dimensional data;
will |L i |＞Z thr Removing corresponding three-dimensional data; wherein Z is thr Is a preset parameter value.
Further, before the step of inputting the target feature vectors, the school position information and the corresponding work and rest schedule into a preset minors smoking judgment model, the method further includes:
judging whether the clustering center is positioned in a school corresponding to the school position information;
if yes, judging whether the clustering center is positioned at a smoke point easy to smoke by students;
if yes, the user of the portable electronic atomizer is directly judged to be the minor.
Further, the portable electronic atomizer is also provided with an identity information acquisition unit, and the identity information acquisition unit is in data connection with the control unit;
after the step of interacting the judging result with an external system through the area signal transceiver to confirm whether the smoking authority is received, the method further comprises the following steps:
receiving a smoker initiated identity determination when the smoker is determined to be a minor;
Controlling the identity information acquisition unit to acquire identity information of a smoker;
uploading the identity information to an external system through the regional signal transceiver for identity verification;
when the external system is received to verify as an adult, the reception of the smoking authority is confirmed at the same time.
Further, the step of acquiring the school position information closest to the positioning information and the corresponding work and rest schedule based on the positioning information includes:
acquiring average positioning information according to the n pieces of positioning information;
taking the average positioning information as a circle center and taking a preset distance as a radius to obtain a target area;
acquiring school position information in the target area;
calculating the sum of distances to each clustering center based on school position information of each school to obtain target distances of each school from the n pieces of positioning information;
and acquiring school position information closest to the target distance and a corresponding work and rest schedule according to the target distance.
The application also provides a portable electronic atomizer, which is provided with a control unit, and a region signal transceiver, a GPS positioning unit and an electronic atomizer body which are connected with the control unit, wherein the electronic atomizer body is in data connection with the GPS positioning unit, the GPS positioning unit is in data connection with the region signal transceiver, the GPS positioning unit is used for sending a positioning signal to the control unit after the electronic atomizer body generates smoking behaviors, the region signal transceiver is in data connection with an external system, and when the control unit receives smoking rights granted by the external system, the control unit controls the electronic atomizer body to work, otherwise, the electronic atomizer body cannot work; the control unit further includes:
The receiving module is used for receiving the n pieces of positioning information sent by the GPS positioning unit and the positioning time corresponding to the positioning information; wherein the positioning time is a time division representation mode;
the composition module is used for composing three-dimensional data of each smoking according to the positioning information and the positioning time; three dimensions of the three-dimensional data are longitude and latitude of the positioning information and time dimension of the positioning time respectively;
the clustering module is used for carrying out data clustering on the three-dimensional data through a preset k-means clustering algorithm to obtain a plurality of clustering centers of the three-dimensional data;
the first calculation module is used for calculating the reciprocal Z of the distance between each three-dimensional data and the corresponding clustering center after 1 is added;
a second calculation module for calculating a second calculation result according to the formula m=σ (W 2 δ(W 1 Z))＝[m 1 ，m 2 ，...，m l ，...，m c ]Calculating to obtain an attention vector; wherein m represents an attention vector, m l Attention weight value, W, representing the first channel 2 And W is 1 Representing preset parameters, sigma represents an activation function of a ReLU, and delta represents a Sigmoid activation function; m is m c An attention weight value representing a c-th channel, c representing the number of channels;
the weighting module is used for weighting each three-dimensional data through the attention vector to obtain weighted target three-dimensional data;
The third calculation module is used for carrying out weighted calculation on at least two target three-dimensional data according to a preset one-dimensional weighted column vector to obtain a plurality of corresponding target feature vectors; wherein the weighting calculation is performed by D=P T concat(M 1 °M 2 ，M 1 °M 3 ，M 2 °M 3 ，...，M n-1 °M n ) Where n represents the number of target three-dimensional data, M n Representing nth target three-dimensional data, wherein P is the one-dimensional weighted column vector, A DEG B represents Hadamard product operation on the feature graphs A and B, and D represents a target feature vector;
the acquisition module is used for acquiring school position information closest to the positioning information and a corresponding work and rest timetable;
the input module is used for inputting the target feature vectors, the school position information and the corresponding work and rest time table into a preset minous smoking judgment model to obtain a judgment result of whether the smoker is a minous; the minors smoking judgment model is trained according to a plurality of training target feature vectors, corresponding school position information and corresponding work and rest time;
and the interaction module is used for interacting the judging result with an external system through the area signal transceiver so as to confirm whether smoking permission is received or not.
Further, the control unit further includes:
the distance average value calculation module is used for calculating the distance average value of each three-dimensional data and other three-dimensional data;
a discrete value calculation module for calculating a discrete value according to the formulaCalculating a discrete value of each three-dimensional data; wherein L is i Represents the discrete value of the ith three-dimensional data, μ represents the average value of n three-dimensional data, and +.>Gamma represents the standard deviation of n three-dimensional data, and +.> x i Representing the ith three-dimensional data;
a rejection module for rejecting L i |＞Z thr Removing corresponding three-dimensional data; wherein Z is thr Is a preset parameter value.
Further, the control unit further includes:
the first judging module is used for judging whether the clustering center is positioned in the school corresponding to the school position information;
the second judging module is used for judging whether the clustering center is positioned at the smoke point easy to smoke by the students if yes;
and the judging module is used for directly judging that the user of the portable electronic atomizer is a minor if the user is the minor.
Further, the portable electronic atomizer is also provided with an identity information acquisition unit, and the identity information acquisition unit is in data connection with the control unit;
the control unit further includes:
A first receiving module for receiving an identity determination initiated by a smoker when the smoker is determined to be a minor;
the control module is used for controlling the identity information acquisition unit to acquire the identity information of the smoker;
the identity verification module is used for uploading the identity information to an external system through the regional signal transceiver for identity verification;
and the second receiving module is used for simultaneously confirming the receiving of the smoking authority when the external system is received to verify that the external system is an adult.
Further, the acquisition module includes:
the average positioning information acquisition sub-module is used for acquiring the average positioning information of the n positioning information according to the n positioning information;
the target area acquisition submodule is used for acquiring a target area by taking the average positioning information as a circle center and taking a preset distance as a radius;
the position information acquisition sub-module is used for acquiring school position information in the target area;
the target distance calculation module is used for calculating the sum of distances to each clustering center based on the school position information of each school to obtain the target distance between each school and the n pieces of positioning information;
and the acquisition sub-module is used for acquiring the school position information closest to the target distance and the corresponding work and rest timetable according to the size of the target distance.
The invention has the beneficial effects that: the regional signal transceiver and the GPS positioning unit are arranged on the electronic atomizer, and whether smoking authority is provided or not is judged by clustering positioning information and positioning time, so that a two-stage attention weighting mechanism is realized, the accuracy of a model for judging underage smoking is improved, and the trend of electronic cigarettes of teenagers can be restrained.
Drawings
FIG. 1 is a flow chart of a method of using a portable electronic atomizer based on a regional signal transceiver according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a control unit of a portable electronic atomizer according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, in the embodiments of the present invention, all directional indicators (such as up, down, left, right, front, and back) are merely used to explain the relative positional relationship, movement conditions, and the like between the components in a specific posture (as shown in the drawings), if the specific posture is changed, the directional indicators correspondingly change, and the connection may be a direct connection or an indirect connection.
The term "and/or" is herein merely an association relation describing an associated object, meaning that there may be three relations, e.g., a and B, may represent: a exists alone, A and B exist together, and B exists alone.
Furthermore, descriptions such as those referred to as "first," "second," and the like, are provided for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implying an order of magnitude of the indicated technical features in the present disclosure. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
Referring to fig. 1, the present invention proposes a method for using a portable electronic atomizer based on a regional signal transceiver, where the portable electronic atomizer is provided with a control unit, and a regional signal transceiver, a GPS positioning unit and an electronic atomizer body connected to the control unit, where the electronic atomizer body is in data connection with the GPS positioning unit, the GPS positioning unit is in data connection with the regional signal transceiver, and the GPS positioning unit is configured to send a positioning signal to the control unit after the electronic atomizer body performs smoking, and the regional signal transceiver is in data connection with an external system, where when the control unit receives a smoking right granted by the external system, the control unit controls the electronic atomizer body to operate, otherwise, the electronic atomizer body does not operate; the using method comprises the following steps:
s1: the control unit receives n pieces of positioning information sent by the GPS positioning unit and positioning time corresponding to the positioning information; wherein the positioning time is a time division representation mode;
s2: forming three-dimensional data of each smoking according to the positioning information and the positioning time; three dimensions of the three-dimensional data are longitude and latitude of the positioning information and time dimension of the positioning time respectively;
S3: carrying out data clustering on the three-dimensional data through a preset k-means clustering algorithm to obtain a plurality of clustering centers of the three-dimensional data;
s4: calculating the distance from each three-dimensional data to the corresponding clustering center and adding 1 reciprocal Z;
s5: according to the formula m=σ (W 2 δ(W 1 Z))＝[m 1 ，m 2 ，...，m l ，
...，m c ]Calculating to obtain an attention vector; wherein m represents an attention vector, m l Attention weight value, W, representing the first channel 2 And W is 1 Representing preset parameters, sigma represents an activation function of a ReLU, and delta represents a Sigmoid activation function; m is m c An attention weight value representing a c-th channel, c representing the number of channels;
s6: weighting each three-dimensional data through the attention vector to obtain weighted target three-dimensional data;
s7: weighting calculation is carried out on at least two target three-dimensional data according to a preset one-dimensional weighting column vector, so that a plurality of corresponding target feature vectors are obtained; wherein the weighting calculation is performed by D=P T concat(M 1 °M 2 ，M 1 °M 3 ，M 2 °M 3 ，...，M n-1 °M n ) Where n represents the number of target three-dimensional data, M n Representing nth target three-dimensional data, wherein P is the one-dimensional weighted column vector, A DEG B represents Hadamard product operation on the feature graphs A and B, and D represents a target feature vector;
s8: acquiring school position information closest to the positioning information and a corresponding work and rest schedule based on the positioning information;
S9: inputting the target feature vectors, the school position information and the corresponding work and rest time table into a preset minous smoking judgment model to obtain a judgment result of whether a smoker is a minous; the minors smoking judgment model is trained according to a plurality of training target feature vectors, corresponding school position information and corresponding work and rest time;
s10: and the judging result is interacted with an external system through the area signal transceiver so as to confirm whether smoking authority is received or not.
As described in the above steps S1-S2, the control unit receives n positioning information sent by the GPS positioning unit and positioning time corresponding to the positioning information; the positioning time is a time division representation mode, and three-dimensional data of each smoking are formed according to the positioning information and the positioning time; the three dimensions of the three-dimensional data are longitude and latitude of the positioning information and time dimension of the positioning time respectively. The n positioning information is data generated during smoking the electronic cigarette, that is, after each smoking action occurs, a positioning signal is sent to the control unit, at this time, the controller can remember the corresponding time information, and the longitude and latitude can be obtained according to the data of the GPS positioning unit, so that the corresponding three-dimensional data is obtained.
As described in the above steps S3-S6, the three-dimensional data are subjected to data clustering by a preset k-means clustering algorithm to obtain a plurality of clustering centers of the three-dimensional data, the distance between each three-dimensional data and the corresponding clustering center is calculated to be added with 1 reciprocal Z, and the distance is calculated according to the formula m=σ (W 2 δ(W 1 Z))＝[m 1 ，m 2 ，...，m l ，...，m c ]Calculating to obtain an attention vector; wherein m represents an attention vector, m l Attention weight value, W, representing the first channel 2 And W is 1 Representing preset parameters, sigma represents an activation function of a ReLU, delta represents a Sigmoid activation function, m c An attention weight value representing a c-th channel, c representing the number of channels; and weighting each three-dimensional data through the attention vector to obtain weighted target three-dimensional data. Wherein, the determination of the cluster center is to predetermine several cluster centers, randomly designate several initial cluster centers, then after continuous iteration, get a plurality of cluster centers, this is the principle of k-means cluster algorithm, this application is not repeated, then, each three-dimensional data has a corresponding cluster center, so it can calculate the distance from each three-dimensional data to the corresponding cluster center plus 1 reciprocal, because the closer the distance is, the more information it contains, therefore it needs to be explained, because some distances are close enough, even 0 data will greatly affect the final data, therefore, it needs to be added 1 and then to be calculated, then it is added according to the formula The weight is given to the three-dimensional data with higher matching degree, so that the data can be more concentrated in the calculation process, the data can trend to the clustering center, and the obtained result is more accurate.
As described in the above step S7, where n represents the number of three-dimensional data of the object, and is also the number of three-dimensional data, M n Representing nth target three-dimensional data, wherein P is the one-dimensional weighted column vector, A DEG B represents Hadamard product operation on the feature graphs A and B, and D represents a target feature vector; the weighting is performed on the target three-dimensional data, that is, the features of combination of the three-dimensional data can be combined, so that the influence of some smoking data in other places can be effectively reduced, the Hadamard product operation is specifically implemented by two matrixes with the same scale, if elements in corresponding positions can be multiplied, the Hadamard product exists, and the scale of the new matrix is consistent with that of the original matrix. Therefore, a two-stage attention weighting mechanism is realized, and the accuracy of the underage smoking judgment model is improved.
The steps S8-S10 are performed, wherein the school position information closest to the location information and the corresponding work and rest time table are obtained based on the location information, and the target feature vectors, the school position information and the corresponding work and rest time table are input into a preset minors smoking judgment model to obtain a judgment result of whether the smokers are minors; the minors smoking judging model is trained according to a plurality of training target feature vectors, corresponding school position information and corresponding work and rest time, and the judging result is interacted with an external system through the area signal transceiver to confirm whether smoking permission is received or not. The work and rest time of the student can be extracted from the work and rest time table, for example, if the smoking is generally in a class or rest time and is near a school, the student can be considered to have the possibility of smoking, the minor smoking judgment model is a neural network model, and the training data is formed by training a plurality of target feature vectors, school position information and corresponding work and rest time tables, and whether the corresponding smoker is minor data. Therefore, whether the atomizer has smoking authority or not can be obtained, and the atomizer body is controlled to work.
In one embodiment, before the step S2 of composing three-dimensional data of each smoking according to the positioning information and the positioning time, the method further includes:
s101: calculating the average value of the distances between each three-dimensional data and other three-dimensional data;
s102: according to the formulaCalculating a discrete value of each three-dimensional data; wherein L is i Represents the discrete value of the ith three-dimensional data, μ represents the average value of n three-dimensional data, and +.> Gamma represents the standard deviation of n three-dimensional data, and +.>x i Representing the ith three-dimensional data;
s103: will |L i |＞Z thr Removing corresponding three-dimensional data; wherein Z is thr Is a preset parameter value.
As described in the above steps S101-S103, three-dimensional data of smoking in some places which are not frequently in place are removed, and the judgment accuracy of the subsequent model is improved, for example, the average value of the distance between each three-dimensional data and other three-dimensional data can be calculated, and according to the formulaCalculating a discrete value of each three-dimensional data; wherein L is i Represents the discrete value of the ith three-dimensional data, μ represents the average value of n three-dimensional data, and +.>Gamma represents the standard deviation of n three-dimensional data, andx i representing the ith three-dimensional data, will be L i |＞Z thr Removing corresponding three-dimensional data; wherein Z is thr Is a preset parameter value. The distance average value can show the distance between each data and other data, namely the size deviating from the overall data, then the discrete value is calculated according to a formula, so that the discrete value of each data is shown, when all the discrete values are larger, the smoking place is considered to be not fixed, smoking can be carried out at will, but teenagers cannot normally do so, therefore, the smoker can be considered to be an adult, in general, the smoking place of the smoker is fixed, and therefore, only three-dimensional data deviating from the general situation is removed, and when the discrete value exceeds the set parameter value, the three-dimensional data can be considered to be removed.
In one embodiment, before the step S9 of inputting the target feature vectors, the school position information, and the corresponding work and rest schedules into a preset minors smoking judgment model, the method further includes:
s801: judging whether the clustering center is positioned in a school corresponding to the school position information;
s802: if yes, judging whether the clustering center is positioned at a smoke point easy to smoke by students;
s803: if yes, the user of the portable electronic atomizer is directly judged to be the minor.
As described in the above steps S801-S803, the direct determination of the user of the portable electronic atomizer according to the cluster center is realized, that is, whether the cluster center is located in the school corresponding to the school position information is determined, if yes, the smoker must be a teacher in the school or its family member, or be a student, and then determine whether the smoker is a smoke point of the student, where the smoke point is a smoke point which is counted in advance, for example, a wall edge, a toilet, a student dormitory, etc., so that the user can determine that the user is a minor, and thus the start of the atomizer is prohibited, and thus the smoke of the student can be effectively prohibited.
In one embodiment, the portable electronic atomizer is further provided with an identity information acquisition unit, and the identity information acquisition unit is in data connection with the control unit;
After step S10, where the determining result is interacted with an external system through the area signal transceiver to determine whether the smoking authority is received, the method further includes:
s1101: receiving a smoker initiated identity determination when the smoker is determined to be a minor;
s1102: controlling the identity information acquisition unit to acquire identity information of a smoker;
s1103: uploading the identity information to an external system through the regional signal transceiver for identity verification;
s1104: when the external system is received to verify as an adult, the reception of the smoking authority is confirmed at the same time.
As described in the above steps S1101-S1104, in an actual situation, there may be some misjudgment, so that identity judgment may be initiated for a smoker, that is, the identity information of the smoker is collected by the identity information collecting unit, the face of the smoker may be collected by the camera, or the identity information may be collected by the phone verification code, and then the identity information may be collected.
In one embodiment, the step S8 of obtaining the school location information closest to the location information and the corresponding work and rest schedule based on the positioning information includes:
s811: acquiring average positioning information according to the n pieces of positioning information;
s812: taking the average positioning information as a circle center and taking a preset distance as a radius to obtain a target area;
s813: acquiring school position information in the target area;
s814: calculating the sum of distances to each clustering center based on school position information of each school to obtain target distances of each school from the n pieces of positioning information;
s815: and acquiring school position information closest to the target distance and a corresponding work and rest schedule according to the target distance.
As described in the above steps S811-S815, the obtaining of the school location information and the corresponding action schedule is achieved, that is, the average location information is obtained, the average value of each location information, that is, the average value of the longitude and the average value of the latitude is calculated, then the average value of each location information is taken as the center of a circle, the preset distance is taken as the radius, the preset distance can be preset, and generally the distance does not exceed the distance of a administrative area, thereby obtaining the corresponding target area, then the sum of the distances from each cluster center is calculated, obtaining the target distance from each school to the n location information, then the corresponding school location information is obtained according to the size of the target distance, and the action schedule can be obtained from the corresponding school, or the general action time of students.
The invention has the beneficial effects that: the regional signal transceiver and the GPS positioning unit are arranged on the electronic atomizer, and whether smoking authority is provided or not is judged by clustering positioning information and positioning time, so that a two-stage attention weighting mechanism is realized, the accuracy of a model for judging underage smoking is improved, and the trend of electronic cigarettes of teenagers can be restrained.
Referring to fig. 2, an embodiment of the present application further provides a portable electronic atomizer, where the portable electronic atomizer is provided with a control unit, and an area signal transceiver, a GPS positioning unit and an electronic atomizer body that are connected with the control unit, where the electronic atomizer body is in data connection with the GPS positioning unit, the GPS positioning unit is in data connection with the area signal transceiver, and the GPS positioning unit is configured to send a positioning signal to the control unit after the electronic atomizer body performs smoking, and the area signal transceiver is in data connection with an external system, where when the control unit receives a smoking right granted by the external system, the control unit controls the electronic atomizer body to operate, and otherwise, the electronic atomizer body does not operate; the control unit further includes:
The receiving module is used for receiving the n pieces of positioning information sent by the GPS positioning unit and the positioning time corresponding to the positioning information; wherein the positioning time is a time division representation mode;
the composition module is used for composing three-dimensional data of each smoking according to the positioning information and the positioning time; three dimensions of the three-dimensional data are longitude and latitude of the positioning information and time dimension of the positioning time respectively;
the clustering module is used for carrying out data clustering on the three-dimensional data through a preset k-means clustering algorithm to obtain a plurality of clustering centers of the three-dimensional data;
the first calculation module is used for calculating the distance between each three-dimensional data and the corresponding clustering center plus 1 reciprocal Z;
a second calculation module for calculating a second calculation result according to the formula m=σ (W 2 δ(W 1 Z))＝[m 1 ，m 2 ，...，m l ，...，m c ]Calculating to obtain an attention vector; wherein m represents an attention vector, m l Attention weight value, W, representing the first channel 2 And W is 1 Representing preset parameters, sigma represents an activation function of a ReLU, delta represents a Sigmoid activation function, m c An attention weight value representing a c-th channel, c representing the number of channels;
the weighting module is used for weighting each three-dimensional data through the attention vector to obtain weighted target three-dimensional data;
The third calculation module is used for carrying out weighted calculation on at least two target three-dimensional data according to a preset one-dimensional weighted column vector to obtain a plurality of corresponding target feature vectors;wherein the weighting calculation is performed by D=P T concat(M 1 °M 2 ，M 1 °M 3 ，M 2 °M 3 ，...，M n-1 °M n ) Where n represents the number of target three-dimensional data, M n Representing nth target three-dimensional data, wherein P is the one-dimensional weighted column vector, A DEG B represents Hadamard product operation on the feature graphs A and B, and D represents a target feature vector;
the acquisition module is used for acquiring school position information closest to the positioning information and a corresponding work and rest timetable;
the input module is used for inputting the target feature vectors, the school position information and the corresponding work and rest time table into a preset minous smoking judgment model to obtain a judgment result of whether the smoker is a minous; the minors smoking judgment model is trained according to a plurality of training target feature vectors, corresponding school position information and corresponding work and rest time;
and the interaction module is used for interacting the judging result with an external system through the area signal transceiver so as to confirm whether smoking permission is received or not.
In an embodiment, the control unit further comprises:
the distance average value calculation module is used for calculating the distance average value of each three-dimensional data and other three-dimensional data;
a discrete value calculation module for calculating a discrete value according to the formulaCalculating a discrete value of each three-dimensional data; wherein L is i Represents the discrete value of the ith three-dimensional data, μ represents the average value of n three-dimensional data, and +.>Gamma represents the standard deviation of n three-dimensional data, and +.> x i Representing the ith three-dimensional data;
a rejection module for rejecting L i |＞Z thr Removing corresponding three-dimensional data; wherein Z is thr Is a preset parameter value.
In an embodiment, the control unit further comprises:
the first judging module is used for judging whether the clustering center is positioned in the school corresponding to the school position information;
the second judging module is used for judging whether the clustering center is positioned at the smoke point easy to smoke by the students if yes;
and the judging module is used for directly judging that the user of the portable electronic atomizer is a minor if the user is the minor.
In an embodiment, the portable electronic atomizer is further provided with an identity information acquisition unit, and the identity information acquisition unit is in data connection with the control unit;
The control unit further includes:
a first receiving module for receiving an identity determination initiated by a smoker when the smoker is determined to be a minor;
the control module is used for controlling the identity information acquisition unit to acquire the identity information of the smoker;
the identity verification module is used for uploading the identity information to an external system through the regional signal transceiver for identity verification;
and the second receiving module is used for simultaneously confirming the receiving of the smoking authority when the external system is received to verify that the external system is an adult.
In an embodiment, the acquiring module includes:
the average positioning information acquisition sub-module is used for acquiring the average positioning information of the n positioning information according to the n positioning information;
the target area acquisition submodule is used for acquiring a target area by taking the average positioning information as a circle center and taking a preset distance as a radius;
the position information acquisition sub-module is used for acquiring school position information in the target area;
the target distance calculation module is used for calculating the sum of distances to each clustering center based on the school position information of each school to obtain the target distance between each school and the n pieces of positioning information;
And the acquisition sub-module is used for acquiring the school position information closest to the target distance and the corresponding work and rest timetable according to the size of the target distance.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by hardware associated with a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. The application method of the portable electronic atomizer based on the area signal transceiver is characterized in that the portable electronic atomizer is provided with a control unit, an area signal transceiver, a GPS positioning unit and an electronic atomizer body, wherein the area signal transceiver, the GPS positioning unit and the electronic atomizer body are connected with the control unit, the electronic atomizer body is in data connection with the GPS positioning unit, the GPS positioning unit is in data connection with the area signal transceiver, the GPS positioning unit is used for sending a positioning signal to the control unit after the electronic atomizer body performs smoking, the area signal transceiver is in data connection with an external system, and when the control unit receives smoking rights granted by the external system, the control unit controls the electronic atomizer body to work, otherwise, the electronic atomizer body cannot work; the using method comprises the following steps:
The control unit receives n pieces of positioning information sent by the GPS positioning unit and positioning time corresponding to the positioning information; wherein the positioning time is a time division representation mode;
forming three-dimensional data of each smoking according to the positioning information and the positioning time; three dimensions of the three-dimensional data are longitude and latitude of the positioning information and time dimension of the positioning time respectively;
carrying out data clustering on the three-dimensional data through a preset k-means clustering algorithm to obtain a plurality of clustering centers of the three-dimensional data;
calculating the reciprocal Z of the distance between each three-dimensional data and the corresponding clustering center after adding 1;
according to the formula m=σ (W 2 δ(W 1 Z))＝[m 1 ，m 2 ，...，m l ，...，m c ]Calculating to obtain an attention vector; wherein m represents an attention vector, m l Attention weight value, W, representing the first channel 2 And W is 1 Representing preset parameters, sigma represents an activation function of a ReLU, and delta represents a Sigmoid activation function; m is m c An attention weight value representing a c-th channel, c representing the number of channels;
weighting each three-dimensional data through the attention vector to obtain weighted target three-dimensional data;
weighting calculation is carried out on at least two target three-dimensional data according to a preset one-dimensional weighting column vector, so that a plurality of corresponding target feature vectors are obtained; wherein the weighting calculation is performed by D=P T concat(M 1 °M 2 ，M 1 °M 3 ，M 2 °M 3 ，...，M n-1 °M n ) Where n represents the number of target three-dimensional data, M n Representing nth target three-dimensional data, wherein P is the one-dimensional weighted column vector, A DEG B represents Hadamard product operation on the feature graphs A and B, and D represents a target feature vector;
acquiring school position information closest to the positioning information and a corresponding work and rest schedule based on the positioning information;
inputting the target feature vectors, the school position information and the corresponding work and rest time table into a preset minous smoking judgment model to obtain a judgment result of whether a smoker is a minous; the minors smoking judgment model is trained according to a plurality of training target feature vectors, corresponding school position information and corresponding work and rest time;
and the judging result is interacted with an external system through the area signal transceiver so as to confirm whether smoking authority is received or not.
2. The method of using a portable electronic atomizer based on a zone signal transceiver according to claim 1, further comprising, prior to said step of composing three-dimensional data for each puff based on said positioning information and positioning time:
calculating the average value of the distances between each three-dimensional data and other three-dimensional data;
According to the formulaCalculating a discrete value of each three-dimensional data; wherein L is i Represents the discrete value of the ith three-dimensional data, μ represents the average value of n three-dimensional data, and +.> Gamma represents the standard deviation of n three-dimensional data, andx i representing the ith three-dimensional data;
will |L i |＞Z thr Removing corresponding three-dimensional data; wherein Z is thr Is a preset parameter value.
3. The method of claim 1, wherein before the step of inputting the plurality of target feature vectors and the school positional information and the corresponding work and rest schedule into a predetermined minors smoking judgment model, further comprising:
judging whether the clustering center is positioned in a school corresponding to the school position information;
if yes, judging whether the clustering center is positioned at a smoke point easy to smoke by students;
if yes, the user of the portable electronic atomizer is directly judged to be the minor.
4. The method for using the portable electronic atomizer based on the area signal transceiver according to claim 1, wherein the portable electronic atomizer is further provided with an identity information acquisition unit, and the identity information acquisition unit is in data connection with the control unit;
After the step of interacting the judging result with an external system through the area signal transceiver to confirm whether the smoking authority is received, the method further comprises the following steps:
receiving a smoker initiated identity determination when the smoker is determined to be a minor;
controlling the identity information acquisition unit to acquire identity information of a smoker;
uploading the identity information to an external system through the regional signal transceiver for identity verification;
when the external system is received to verify as an adult, the reception of the smoking authority is confirmed at the same time.
5. The method of using a portable electronic nebulizer based on a regional signal transceiver of claim 1, wherein the step of obtaining school location information closest to the location information, and a corresponding work and rest schedule based on the location information, comprises:
acquiring average positioning information according to the n pieces of positioning information;
taking the average positioning information as a circle center and taking a preset distance as a radius to obtain a target area;
acquiring school position information in the target area;
calculating the sum of distances to each clustering center based on school position information of each school to obtain target distances of each school from the n pieces of positioning information;
And acquiring school position information closest to the target distance and a corresponding work and rest schedule according to the target distance.
6. The portable electronic atomizer is characterized by comprising a control unit, a regional signal transceiver, a GPS positioning unit and an electronic atomizer body, wherein the regional signal transceiver, the GPS positioning unit and the electronic atomizer body are connected with the control unit, the electronic atomizer body is in data connection with the GPS positioning unit, the GPS positioning unit is in data connection with the regional signal transceiver, the GPS positioning unit is used for sending a positioning signal to the control unit after the electronic atomizer body generates smoking behaviors, the regional signal transceiver is in data connection with an external system, and when the control unit receives smoking rights granted by the external system, the control unit controls the electronic atomizer body to work, otherwise, the electronic atomizer body cannot work; the control unit further includes:
the receiving module is used for receiving the n pieces of positioning information sent by the GPS positioning unit and the positioning time corresponding to the positioning information; wherein the positioning time is a time division representation mode;
The composition module is used for composing three-dimensional data of each smoking according to the positioning information and the positioning time; three dimensions of the three-dimensional data are longitude and latitude of the positioning information and time dimension of the positioning time respectively;
the clustering module is used for carrying out data clustering on the three-dimensional data through a preset k-means clustering algorithm to obtain a plurality of clustering centers of the three-dimensional data;
the first calculation module is used for calculating the reciprocal Z of the distance between each three-dimensional data and the corresponding clustering center after 1 is added;
a second calculation module for calculating a second calculation result according to the formula m=σ (W 2 δ(W 1 Z))＝[m 1 ，m 2 ，...，m l ，...，m c ]Calculating to obtain an attention vector; wherein m represents an attention vector, m l Attention weight value, W, representing the first channel 2 And W is 1 Representing preset parameters, sigma represents an activation function of a ReLU, and delta represents a Sigmoid activation function; m is m c An attention weight value representing a c-th channel, c representing the number of channels;
the weighting module is used for weighting each three-dimensional data through the attention vector to obtain weighted target three-dimensional data;
the third calculation module is used for carrying out weighted calculation on at least two target three-dimensional data according to a preset one-dimensional weighted column vector to obtain a plurality of corresponding target feature vectors; wherein the weighting calculation is performed by D=P T concat(M 1 °M 2 ，M 1 °M 3 ，M 2 °M 3 ，...，M n-1 °M n ) Where n represents the number of target three-dimensional data, M n Representing nth target three-dimensional data, wherein P is the one-dimensional weighted column vector, A DEG B represents Hadamard product operation on the feature graphs A and B, and D represents a target feature vector;
the acquisition module is used for acquiring school position information closest to the positioning information and a corresponding work and rest timetable;
the input module is used for inputting the target feature vectors, the school position information and the corresponding work and rest time table into a preset minous smoking judgment model to obtain a judgment result of whether the smoker is a minous; the minors smoking judgment model is trained according to a plurality of training target feature vectors, corresponding school position information and corresponding work and rest time;
and the interaction module is used for interacting the judging result with an external system through the area signal transceiver so as to confirm whether smoking permission is received or not.
7. The portable electronic atomizer of claim 6 wherein said control unit further comprises:
the distance average value calculation module is used for calculating the distance average value of each three-dimensional data and other three-dimensional data;
A discrete value calculation module for calculating a discrete value according to the formulaCalculating discrete values for each three-dimensional dataThe method comprises the steps of carrying out a first treatment on the surface of the Wherein L is i Represents the discrete value of the ith three-dimensional data, μ represents the average value of n three-dimensional data, and +.>Gamma represents the standard deviation of n three-dimensional data, and +.> x i Representing the ith three-dimensional data;
a rejection module for rejecting L i |＞Z thr Removing corresponding three-dimensional data; wherein Z is thr Is a preset parameter value.
8. The portable electronic atomizer of claim 6 wherein said control unit further comprises:
the first judging module is used for judging whether the clustering center is positioned in the school corresponding to the school position information;
the second judging module is used for judging whether the clustering center is positioned at the smoke point easy to smoke by the students if yes;
and the judging module is used for directly judging that the user of the portable electronic atomizer is a minor if the user is the minor.
9. The portable electronic nebulizer of claim 6 further comprising an identity information collection unit, wherein the identity information collection unit is in data connection with the control unit;
the control unit further includes:
a first receiving module for receiving an identity determination initiated by a smoker when the smoker is determined to be a minor;
The control module is used for controlling the identity information acquisition unit to acquire the identity information of the smoker;
the identity verification module is used for uploading the identity information to an external system through the regional signal transceiver for identity verification;
and the second receiving module is used for simultaneously confirming the receiving of the smoking authority when the external system is received to verify that the external system is an adult.
10. The portable electronic nebulizer of claim 6, wherein the acquisition module comprises:
the average positioning information acquisition sub-module is used for acquiring the average positioning information of the n positioning information according to the n positioning information;
the target area acquisition submodule is used for acquiring a target area by taking the average positioning information as a circle center and taking a preset distance as a radius;
the position information acquisition sub-module is used for acquiring school position information in the target area;
the target distance calculation module is used for calculating the sum of distances to each clustering center based on the school position information of each school to obtain the target distance between each school and the n pieces of positioning information;
and the acquisition sub-module is used for acquiring the school position information closest to the target distance and the corresponding work and rest timetable according to the size of the target distance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210326711.2A CN114468396B (en) | 2022-03-30 | 2022-03-30 | Portable electronic atomizer based on regional signal transceiver and use method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210326711.2A CN114468396B (en) | 2022-03-30 | 2022-03-30 | Portable electronic atomizer based on regional signal transceiver and use method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114468396A CN114468396A (en) | 2022-05-13 |
| CN114468396B true CN114468396B (en) | 2024-04-12 |
Family
ID=81488799
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210326711.2A Active CN114468396B (en) | 2022-03-30 | 2022-03-30 | Portable electronic atomizer based on regional signal transceiver and use method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114468396B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101278656B1 (en) * | 2013-04-22 | 2013-06-25 | 전은희 | System and method for distinguishing minor |
| CN106983180A (en) * | 2017-05-11 | 2017-07-28 | 广东乐心医疗电子股份有限公司 | Auxiliary smoking cessation system and method |
| CN108734125A (en) * | 2018-05-21 | 2018-11-02 | 杭州杰视科技有限公司 | A kind of cigarette smoking recognition methods of open space |
| CN109829782A (en) * | 2019-01-03 | 2019-05-31 | 深圳壹账通智能科技有限公司 | Cigarette sells control method and device, storage medium and electronic equipment |
| CN110472401A (en) * | 2019-09-05 | 2019-11-19 | 深圳市欣炎宝电子技术开发有限公司 | A kind of monitoring of electronic cigarette and identification Intelligent internet of things application management system |
| CN110740165A (en) * | 2019-09-11 | 2020-01-31 | 深圳迪致科技术有限公司 | Electronic smoke management method and system |
| CN111326225A (en) * | 2020-02-17 | 2020-06-23 | 深圳市白美科技有限公司 | Smoking health management and supervision platform |
| CN111611959A (en) * | 2020-05-28 | 2020-09-01 | 青岛海尔科技有限公司 | Personal information acquisition and processing method and device |
| CN113287791A (en) * | 2021-05-28 | 2021-08-24 | 深圳美众联科技有限公司 | Unlocking method, device and system of electronic atomization device, authentication end and battery rod |
| CN114202122A (en) * | 2021-12-13 | 2022-03-18 | 河北师范大学 | Urban traffic flow prediction method based on Markov cluster map attention network |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015180048A1 (en) * | 2014-05-28 | 2015-12-03 | 吉瑞高新科技股份有限公司 | Information pushing method and communication system |
| EP3729311A1 (en) * | 2017-12-21 | 2020-10-28 | Juul Labs, Inc. | Vaporizer controls |
-
2022
- 2022-03-30 CN CN202210326711.2A patent/CN114468396B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101278656B1 (en) * | 2013-04-22 | 2013-06-25 | 전은희 | System and method for distinguishing minor |
| CN106983180A (en) * | 2017-05-11 | 2017-07-28 | 广东乐心医疗电子股份有限公司 | Auxiliary smoking cessation system and method |
| CN108734125A (en) * | 2018-05-21 | 2018-11-02 | 杭州杰视科技有限公司 | A kind of cigarette smoking recognition methods of open space |
| CN109829782A (en) * | 2019-01-03 | 2019-05-31 | 深圳壹账通智能科技有限公司 | Cigarette sells control method and device, storage medium and electronic equipment |
| CN110472401A (en) * | 2019-09-05 | 2019-11-19 | 深圳市欣炎宝电子技术开发有限公司 | A kind of monitoring of electronic cigarette and identification Intelligent internet of things application management system |
| CN110740165A (en) * | 2019-09-11 | 2020-01-31 | 深圳迪致科技术有限公司 | Electronic smoke management method and system |
| CN111326225A (en) * | 2020-02-17 | 2020-06-23 | 深圳市白美科技有限公司 | Smoking health management and supervision platform |
| CN111611959A (en) * | 2020-05-28 | 2020-09-01 | 青岛海尔科技有限公司 | Personal information acquisition and processing method and device |
| CN113287791A (en) * | 2021-05-28 | 2021-08-24 | 深圳美众联科技有限公司 | Unlocking method, device and system of electronic atomization device, authentication end and battery rod |
| CN114202122A (en) * | 2021-12-13 | 2022-03-18 | 河北师范大学 | Urban traffic flow prediction method based on Markov cluster map attention network |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114468396A (en) | 2022-05-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109509327B (en) | Abnormal behavior early warning method and device | |
| Rajan et al. | From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification | |
| CN101999237B (en) | Movement history reference system, movement information registration server, information collection server, movement history reference method and program | |
| CN109417692A (en) | System and method for urgency communication | |
| Kim et al. | Method of predicting human mobility patterns using deep learning | |
| CN106407364B (en) | Information recommendation method and device based on artificial intelligence | |
| CN114468396B (en) | Portable electronic atomizer based on regional signal transceiver and use method | |
| US9955311B2 (en) | Control apparatus, position verification system, non-transitory computer readable medium, and position verification method | |
| US20180322263A1 (en) | System, Method, and Apparatus for Personal Identification | |
| CN108363783B (en) | The binding method and device of MAC Address and identity information | |
| CN113792668A (en) | Face recognition and access control method and device, computer equipment and storage medium | |
| CN117077928A (en) | Network appointment vehicle demand prediction method, device, equipment and storage medium | |
| Canter et al. | Putting crime in its place: Psychological process in crime site selection | |
| JP2017204168A (en) | Taxi demand estimation system | |
| CN112015956B (en) | Similarity determination method, device, equipment and storage medium for mobile object | |
| CN113626636B (en) | Scenic spot tour route planning method and device and computer equipment | |
| US20210256963A1 (en) | Audio-based link generation | |
| EP3477981A1 (en) | Behaviour-based authentication taking into account environmental parameters | |
| JP2015212915A (en) | Information management server, information management system and information management method | |
| JP7371587B2 (en) | Server devices, systems, in-vehicle devices, programs, vehicles, and system operating methods | |
| CN111141280B (en) | Station positioning method of underground vehicle and electronic equipment | |
| CN113253835A (en) | Man-machine interaction equipment control method and device | |
| CN116821502B (en) | Public opinion hotspot-based data management method and system | |
| CN114912667A (en) | Tourist attraction route recommendation method and device, computer equipment and storage medium | |
| EP3477516B1 (en) | Voice-based method and system for authentication |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| CB02 | Change of applicant information |
Address after: 518000 places engaged in production and business activities on floors 203, 207 and 12, building 1, guangqiao road high tech park, Tianliao community, Yutang street, Guangming District, Shenzhen City, Guangdong Province. Buildings 110 and 302, floor 3, building a, Xinyi Industrial Park, Yuquan Road, yulv community, buildings A4 and A5, yulv industrial zone and floors 2 and 3, No. 3, Dayang second road Applicant after: Shenzhen hanqingda Technology Co.,Ltd. Address before: 518000 floor 1 / 2, building a, No.110, 3rd floor, Xinyi Industrial Park, Yuquan Road, Yulu community, Yutang street, Guangming District, Shenzhen City, Guangdong Province; floor 1 / 2, No.101, building A4, Yulu Industrial Park, Gongming Property Development Corporation of Yulu community; floor 2 / 3, No.3, Dayang 2nd Road, Yulu community, Yutang street, Guangdong Province Applicant before: Shenzhen hanqingda Technology Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |