CN106842356B - There is nobody detection method and detection system in a kind of interior - Google Patents
There is nobody detection method and detection system in a kind of interior Download PDFInfo
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Abstract
The present invention provides detection methods and its detection system that interior has nobody；The detection system includes: pyroelectric sensor, and door status sensor, networking mode connects and composes intelligent door lock with the intelligent gateway by wireless communication.The detection method includes: that detection system obtains outer handle touch event；Outer handle touch event based on acquisition, it is that the first indoor airflow status parameter values when opening, in detection system acquisition preset time range obtain the first heat source state recording in preset time range that detection system, which detects monitored object switch state,；Detection system obtains the into/out history information of someone, and is coupled with the first heat source state recording in preset time range, output it is indoor whether someone/nobody result.The detection method and system of the application can be greatly reduced using generation the case where simple pyroelectricity method erroneous detection or missing inspection, effective energy saving for needing to realize that the demand occasion of intelligent energy management can promote user experience.
Description
Technical Field
The invention relates to a method and a system for detecting whether people exist indoors, and belongs to the field of intelligent control, security and protection technology and the field of intelligent home furnishing.
Background
At present, the existing intelligent detection system for judging whether people exist in a hotel or a residential home and the like generally adopts a single sensor for detection, and has the following problems:
1) the existing hotel generally carries out indoor energy management in a mode of inserting a house card into a power door, and a guest can only take power by inserting the house card. The guest must remember to remove the house card every time the guest goes out of the door, and must insert the house card when the guest enters the door, which is troublesome. Many times can get the electricity through inserting the cardboard in the electric door, can't reach the purpose that the energy was saved of going out.
2) The conventional detection system is limited by the technology only by a method of detecting people in a room through a pyroelectric or infrared characteristic sensor, such as the influence of light and a heat source, the common condition of false detection or detection leakage, the purpose of saving energy sources cannot be achieved, and the user experience can also be influenced.
Disclosure of Invention
The invention aims to overcome the defects and provide an indoor unmanned detection system combining multiple input judgment conditions, and the system can greatly reduce the occurrence of false detection or missed detection by adopting a simple pyroelectric method by combining a manned detection method combining multiple judgment conditions, really achieves the effects of electrification of a person and power off of the person in demand occasions needing to realize intelligent energy management, such as hotels, and not only well improves the user experience, but also effectively saves energy.
The adopted technical scheme is as follows:
a method of detecting the presence of a person in a room, the method comprising:
the detection system acquires an outer handle touch event;
when the external handle touch event is acquired, a detection system detects whether the switch state of a monitored object is on;
if the switch state of the monitored object is on, the detection system collects a first indoor heat source state parameter value within a preset time range to obtain a first/second heat source state record within the preset time range;
the detection system analyzes and obtains history record information of entering/leaving of people, and outputs the history record information and the first/second heat source state record through a preset algorithm to obtain a detection result of whether people exist indoors or not; the preset algorithm is an intelligent fuzzy algorithm.
Setting a plurality of standard data to obtain a standard data set; the standard data is a history of entrance/exit of a person and a corresponding relation between a preset first/second heat source state parameter value and a result of the person/the nobody;
establishing a detection result model through a preset algorithm according to the standard data set; the preset algorithm is a K nearest neighbor classification algorithm;
and inputting the history record of the entering/leaving of the person to be detected and the first/second heat source state record into a detection result model, and outputting the result of the person or the person.
Preferably, the preset algorithm includes that the detection system outputs the history of entering/leaving of the person and the first/second heat source state record through the preset algorithm to obtain the detection result of whether the person exists in the room, and the detection result includes:
acquiring at least two types of training data, namely first type training data and second type training data, wherein the first type training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding person result; the second type of training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding unmanned result;
establishing a detection result model through a preset algorithm according to the training data; the preset algorithm is a Support Vector Machine (SVM);
and inputting the history record of the entering/leaving of the person to be detected and the first/second heat source state record into a detection result model, and outputting the result of the person or the person.
Further, the method further comprises:
and when the detection result of the detection system is the result of the indoor person within the range exceeding the preset time threshold value, the detection system automatically resets the current recording result.
The invention also provides an indoor unmanned detection system, which comprises: the intelligent door lock comprises a pyroelectric sensor, a door magnetic sensor, a manual correction switch, an intelligent door lock and an intelligent gateway, wherein the pyroelectric sensor, the door magnetic sensor and the intelligent door lock are connected with the intelligent gateway in a wireless communication networking mode; the wireless communication networking mode comprises the following steps: zigbee or bluetooth connection;
wherein,
the intelligent door lock is used for detecting whether an inner handle or an outer handle of the door is touched or not; when the intelligent door lock acquires a touch event of an inner handle or an outer handle, sending the sending touch event to the intelligent gateway;
the pyroelectric sensor is used for detecting whether the indoor heat source state changes or not, and when the heat source state does not change, the pyroelectric sensor is in a low power consumption state; when the state of the heat source changes, a state change awakening circuit of the pyroelectric sensor awakens a wireless communication chip of the pyroelectric sensor, and after state change information is reported to the intelligent gateway, the wireless communication chip of the pyroelectric sensor automatically enters a sleep mode, and the pyroelectric sensor enters a low-power-consumption state; the wireless connection chip of the pyroelectric sensor comprises at least one of the following components: a zigbee communication chip or a bluetooth communication chip; the state change information is a heat source state record in a preset time range;
the door magnetic sensor is used for detecting the change of the switch state of a monitored object, when the switch state of the monitored object is not changed, the equipment is in a low power consumption state, when the switch state of the monitored object is changed, the state change awakening circuit of the door magnetic sensor can awaken the wireless communication chip of the door magnetic sensor, after the change information of the object switch state is reported to the intelligent gateway, the wireless communication chip of the door magnetic sensor automatically enters a sleep mode, and the door magnetic sensor enters the low power consumption state; the wireless connection chip of the door magnetic sensor comprises at least one of the following components: a zigbee communication chip or a bluetooth communication chip; the object switch state change information comprises opening information or closing information;
the intelligent gateway is used as a main controller to collect information, instructions or events transmitted by the pyroelectric sensor, the door magnetic sensor, the manual correction switch and the intelligent door lock, and the result of whether people exist in the room is calculated and output through an intelligent fuzzy algorithm.
Further, the state change information reported to the intelligent gateway by the pyroelectric sensor is an indoor heat source state parameter value; the indoor heat source state parameter value is a pyroelectric sensor value or a voltage value; the intelligent gateway of the detection system collects indoor heat source state parameter values within a preset time range to obtain heat source state records within the preset time range; and coupling is carried out by combining the historical record information of the entering/leaving of the people, and the detection result of whether the people exist in the room is output.
Further, the intelligent gateway can modify the intelligent fuzzy algorithm parameters by combining the history record through the manual modification switch, and the modifying of the intelligent fuzzy algorithm parameters comprises: in response to the correction operation of the user, the detection system updates or modifies the history of the entrance/exit of the person and the corresponding relationship between the preset heat source state parameter value and the result of the presence/absence of the person, for example, by specifying the output of the result of the presence/absence detection corresponding to the history of opening and closing the door and the history of the heat source, the intelligent algorithm is learned through manual supervision.
Further, when the detection result of the intelligent gateway is the result of someone in the room within the range exceeding the preset time threshold value, the intelligent gateway automatically resets the current recording result. The intelligent gateway is provided with an automatic zeroing function, and when the situation that a person is in a room within a very long time due to unpredictable sensor errors occurs, the intelligent gateway is automatically reset to prevent energy waste caused by state locking.
According to the method, the situation that a simple pyroelectric method is adopted for false detection or missing detection can be greatly reduced by combining a person detection method with multiple judgment conditions, and the effects of person power-on and person power-off can be realized for demand occasions needing intelligent energy management, such as hotels, so that the user experience is well improved, and the energy is effectively saved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIGS. 1-2 are schematic process flow diagrams of the present application;
fig. 3 is a block diagram of the system architecture of the present application.
Detailed Description
The embodiment of the invention provides a method and a system for detecting whether people exist indoors.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived from the embodiments of the present invention by a person of ordinary skill in the art are intended to fall within the scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The K Nearest Neighbor classification algorithm (KNN) has the basic principle that: if a sample belongs to a certain class in the majority of the k most similar samples in feature space (i.e. the nearest neighbors in feature space), then the sample also belongs to this class. In the KNN algorithm, the selected neighbors are all objects that have been correctly classified. The method only determines the category of the sample to be classified according to the category of the nearest sample or a plurality of samples in the classification decision.
Referring to fig. 1-2, as shown in fig. 1-2, a method for detecting the presence of a person in a room according to an embodiment of the present application includes:
step S101: the detection system acquires an outer handle touch event;
detecting whether an external handle touch event exists in an intelligent door lock in a detection system, namely detecting whether a person touches the external handle of the intelligent door lock;
step S102: when the external handle touch event is acquired, a detection system detects whether the switch state of a monitored object is on;
when the outer handle touch event is detected, namely a person touches the outer handle, further acquiring whether a monitoring object such as a door is opened or not; or detecting whether the intelligent door lock is opened or unlocked; for example, when a person touches the outer handle and further obtains that the intelligent door lock or the door is opened or unlocked, it is determined that the person possibly enters the room;
step S103: if the switch state of the monitored object is on, the detection system collects a first indoor heat source state parameter value within a preset time range to obtain a first heat source state record within the preset time range;
if the door is detected to be opened or the intelligent door lock is detected to be opened or unlocked, a pyroelectric sensor of the detection system collects indoor heat source state parameter values; such as an infrared heat source value or a voltage value; here, a pyroelectric sensor of the detection system collects indoor heat source state parameter values within a preset time range; for example, if the preset time is a heat source state parameter value within 6s from the time when the monitored object is in an open state, the pyroelectric sensor collects an indoor heat source state parameter value within 6s, for example: and if the parameter value of the 17:00: 01-heat source state is 80, the parameter value of the 17:00: 03-heat source state is 70, and the parameter value of the 17:00: 06-heat source state is 80, the pyroelectric sensor outputs {17:00:01-80,17:00:03-70 and 17:00:06-80} to obtain a first heat source state record.
Step S104: the detection system acquires historical record information of people entering/leaving, is coupled with the first heat source state record within a preset time range, and outputs the result of whether people exist/do not exist in a room.
Specifically, the detection system analyzes history information of entering/leaving of a person to obtain the history information;
the detection system outputs the history record of the entering/leaving of the person and the first heat source state record through a preset algorithm to obtain a detection result of whether the person exists in the room or not; the preset algorithm is an intelligent fuzzy algorithm, such as KNN or SVM.
Step S1041: the detection system analyzes the history information of the person entering/leaving to obtain the history information;
first, the detection system obtains history information of person entering/leaving, and the history information of person leaving or entering may be, for example: and monitoring the switch state of the object, and recording the touch event of the inner/outer handle sensor to form the information of entering or exiting of people. One embodiment is as follows:
after the detection system acquires the inner handle touch event, if the intelligent door lock or the door magnet is detected to be opened, several points are recorded, and a person goes out, optionally, a time mark can be marked for the record, for example, if the person goes out, the time mark is set to "out", and then the time mark is used as "out-12: 00 "corresponds to 12 persons leaving;
after the detection system acquires the external handle touch event, if the detection system detects that the intelligent door lock or the door magnet is opened, several points are recorded, and a person enters the intelligent door lock or the door magnet, optionally, a time mark can be marked for the record, for example, if the person exits the intelligent door lock or the door magnet is set as "in", the time mark is used as "in-17: 00 "corresponds to 17 points of human entry.
Acquiring the history information with the marks, arranging the history information according to the carried time, acquiring the latest history record with the carried time and the marks thereof, and taking the history record and the marks as the history information;
step S1042: the detection system outputs the history record of the entering/leaving of the person and the first heat source state record through a preset algorithm to obtain a detection result of whether the person exists in the room or not; the preset algorithm is an intelligent fuzzy algorithm, such as KNN or SVM. And outputting the history record of the entering/leaving of the person and the first heat source state record through a preset algorithm to obtain the detection result of whether the person exists in the room or not according to the history record information which is the latest history record of the carrying time and the mark thereof.
One embodiment is that the detection result of whether or not there is a person in the room can be output specifically according to the following method:
the detection system outputs the history record of the entering/leaving of the person and the first/second heat source state record through a preset algorithm to obtain the detection result of whether the person exists in the room or not, and the detection result comprises the following steps:
setting a plurality of standard data to obtain a standard data set; the standard data is a history of entrance/exit of a person and a corresponding relation between a preset first/second heat source state parameter value and a result of the person/the nobody;
for example: setting a plurality of standard data information, such as: the historical record information is 'in-time', the heat source state parameter value in the preset time range is time-50 or time-60 or time-70 or time-80 or time-90 or time-100, and the corresponding result is that a person is in the room; the historical record information is 'out-time', the heat source state parameter value in the preset time range is time-50 or time-60 or time-70 or time-80 or time-90 or time-100, and the corresponding result is that a person is in the room; setting a plurality of standard data to form a standard data set, wherein the historical record information is 'out-time', the heat source state parameter value in a preset time range is time-0/time-10/time-20/time-30/time-40, and the corresponding result is no person indoors;
establishing a detection result model through a preset algorithm according to the standard data set; the preset algorithm is a K nearest neighbor classification algorithm;
training by adopting a K nearest classification algorithm and a standard data set to obtain a detection result model;
and inputting the history record of the entering/leaving of the person to be detected and the first/second heat source state record into a detection result model, and outputting the result of the person or the person.
Specifically, historical record information and a heat source state record in a preset time range are used as detection information and input into a detection result model; and finding out the most similar standard data to the historical record information and the heat source state record in the preset time range according to the K-nearest neighbor classification algorithm, and taking the result of the presence/absence corresponding to the most similar standard data as the output result of the input detection information.
For example: generating historical record information of 'in-17: 00' if the latest evaluation information of people/no people in the historical room is 'in-17: 00', generating detection information by combining heat source state parameter values (17:00: 0180, 17:00: 0370 and 17:00: 0680) in a preset time range, inputting the detection information into the detection result model, wherein the standard data most similar to the detection information are as follows: and if the result corresponding to the standard data is a person, taking the result corresponding to the standard data as the detection result of the detection information, and outputting the result of the person.
Generating the historical record information of 'out-17: 00' if the latest evaluation information of the presence/absence in the historical room is 'out-17: 00', generating detection information by combining heat source state parameter values (17:00: 010, 17:00: 0310, 17:00: 060) in a preset time range, inputting the detection information into the detection result model, wherein the standard data most similar to the detection information is as follows: and if the result corresponding to the standard data is unmanned, taking the result corresponding to the standard data as the detection result of the detection information, and outputting the unmanned result.
One embodiment is that the detection result of whether or not there is a person in the room can be output specifically according to the following method:
acquiring at least two types of training data, wherein the first type of training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding person result; the second type of training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding unmanned result;
specifically, the first training data comprises historical records of entrance/exit of people in a preset historical time period, first/second heat source state records and corresponding results of people; for example: the method comprises the following steps of (1) identifying an in-time, a plus time-50, an in-time, a plus time-60, an in-time, a plus time-70, an in-time, a plus time-80, an in-time, a plus time-90, an in-time, a plus time-100, an in-time, a plus time-60, an in-time, a plus time-70, an in-time, a plus time-80, an in-time, a plus time-100, an in-time, a plus time-60, an; "out-time" + "time-50" ═ someone, "out-time" + "time-60" ═ someone, "out-time" + "time-70" + "time-80" ═ someone, "out-time" + "time-90" + "time-100" ═ someone, etc.;
the second type of training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding unmanned result; for example: "out-time" + "time-40" ═ unmanned, "out-time" + "time-30" ═ unmanned, "out-time" + "time-25" + "time-20" ═ unmanned, "out-time" + "time-10" ═ unmanned, "out-time" + "time-8" + "time-100" ═ unmanned, etc.;
establishing a detection result model through a preset algorithm according to the training data; the preset algorithm is a Support Vector Machine (SVM);
and inputting the history record of the entering/leaving of the person to be detected and the first/second heat source state record into a detection result model, and outputting the result of the person or the person.
For example: and if the latest evaluation information of the presence/absence in the history room is 'in-17: 00', generating history record information of 'in-17: 00', generating detection information by combining heat source state parameter values (17:00: 0180, 17:00: 0370 and 17:00: 0680) in a preset time range, and inputting the detection information into the detection result model to obtain a corresponding result of the presence.
The detection method of the present application further includes:
step S201: when the detection system detects that the indoor heat source state parameter value changes, the detection system acquires an inner handle touch event;
the method comprises the steps that a pyroelectric sensor of a detection system collects indoor heat source states in real time, and when heat source state parameter values change, an intelligent door lock in the detection system detects whether an inner handle touch event exists, namely whether a person touches the inner handle of the intelligent door lock; for example: the method comprises the steps that a pyroelectric sensor of a detection system collects indoor heat source states in real time, when a heat source state parameter value is suddenly increased, for example, the parameter value is changed from 40 to 80, a person possibly approaches an intelligent door lock, the person possibly touches a handle to open the door, and the like, and the intelligent door lock in the detection system further detects whether an inner handle touch event exists, namely, whether the person touches the inner handle of the intelligent door lock is detected;
step S202: when the inner handle touch event is acquired, the detection system detects whether the switch state of the monitored object is on;
when the inner handle touch event is detected, namely a person touches the inner handle, further acquiring whether a monitoring object such as a door is opened or not; for example, when a person touches the inner handle and further obtains that the intelligent door lock or the door is opened, it is determined that the person may leave;
step S203: and if the switch state of the monitored object is on, the detection system acquires a second indoor heat source state parameter value within a preset time range to obtain a second heat source state record within the preset time range.
If the door is detected to be opened or the intelligent door lock is detected to be opened, a pyroelectric sensor of the detection system collects indoor heat source state parameter values; such as an infrared heat source value or a voltage value; here, a pyroelectric sensor of the detection system collects indoor heat source state parameter values within a preset time range; for example, if the preset time is a heat source state parameter value within 6s from the time when the monitored object is in an open state, the pyroelectric sensor collects an indoor heat source state parameter value within 6s, for example: and if the parameter value of the 20:00: 01-heat source state is 60, the parameter value of the 20:00: 03-heat source state is 40 and the parameter value of the 20:00: 06-heat source state is 10, the pyroelectric sensor outputs {20:00:01-60,20:00:03-40 and 20:00:06-10} to obtain a second heat source state record.
Step S204: the detection system acquires history record information of person entering/leaving, is coupled with a second heat source state record within a preset time range, and outputs the result of whether a person is in/out of a room, wherein the result comprises the following steps:
specifically, the detection system analyzes history information of entering/leaving of a person to obtain the history information;
the detection system outputs the history record of the entering/leaving of the person and the second heat source state record through a preset algorithm to obtain a detection result of whether the person exists in the room or not; the preset algorithm is an intelligent fuzzy algorithm, such as KNN or SVM.
Step S2041: the detection system analyzes the historical record information of the person entering/leaving to obtain the evaluation information of the person/nobody in the historical room;
first, the detection system obtains history information of person entering/leaving, and the history information of person leaving or entering may be, for example: and monitoring the switch state of the object, and recording the touch event of the inner/outer handle sensor to form the information of entering or exiting of people. One embodiment is as follows:
after the detection system acquires the inner handle touch event, if the detection system detects that the intelligent door lock or the door magnet is opened, several points are recorded, and a person goes out, optionally, a time mark can be marked for the record, for example, if the person goes out, the time mark is set to "out", and then the time mark is used for "out-20: 00 "corresponds to 20 persons leaving;
after the detection system acquires the inner handle touch event, if the intelligent door lock or the door magnet is detected to be opened, several points are recorded, and a time mark can be optionally marked for the record, for example, if the door exit mark is set to "out", the time mark is used for "out-20: 00 "corresponds to 20 persons leaving.
Acquiring the history information with the marks, arranging the history information according to the carried time, acquiring the latest history record with the carried time and the marks thereof, and taking the history record and the marks as the history information;
step S2042: the detection system outputs the history record of the entering/leaving of the person and the second heat source state record through a preset algorithm to obtain a detection result of whether the person exists in the room or not; the preset algorithm is an intelligent fuzzy algorithm, such as KNN or SVM.
And outputting the history record of the entering/leaving of the person and the second heat source state record through a preset algorithm to obtain the detection result of whether the person exists in the room or not according to the history record information which is the latest history record of the carrying time and the mark thereof.
One embodiment is that the detection result of whether or not there is a person in the room can be output specifically according to the following method:
the detection system outputs the history record of the entering/leaving of the person and the first/second heat source state record through a preset algorithm to obtain the detection result of whether the person exists in the room or not, and the detection result comprises the following steps:
setting a plurality of standard data to obtain a standard data set; the standard data is a history of entrance/exit of a person and a corresponding relation between a preset first/second heat source state parameter value and a result of the person/the nobody;
for example: setting a plurality of standard data information, such as: the historical record information is 'out-time', the heat source state parameter value in the preset time range is time-50 or time-60 or time-70 or time-80 or time-90 or time-100, and the corresponding result is that a person is in the room; the historical record information is 'out-time', the heat source state parameter value in the preset time range is time-0/time-10/time-20/time-30/time-40, and the corresponding result is that no people are indoors; setting a plurality of standard data to form a standard data set;
establishing a detection result model through a preset algorithm according to the standard data set; the preset algorithm is a K nearest neighbor classification algorithm;
training by adopting a K nearest classification algorithm and a standard data set to obtain a detection result model;
and inputting the history record of the entering/leaving of the person to be detected and the first/second heat source state record into a detection result model, and outputting the result of the person or the person.
Specifically, historical record information and a heat source state record in a preset time range are used as detection information and input into a detection result model; and finding out the most similar standard data to the historical record information and the heat source state record in the preset time range according to the K-nearest neighbor classification algorithm, and taking the result of the presence/absence corresponding to the most similar standard data as the output result of the input detection information.
For example: the latest historical indoor presence/absence assessment information is "out-20: 00 ", generating history information as" out-20: 00', generating detection information by combining heat source state parameter values (20:00:01-60,20:00:03-40,20:00:06-10) in a preset time range, inputting the detection information into the detection result model, and setting standard data most similar to the detection information as follows: and if the result corresponding to the standard data is unmanned, taking the result corresponding to the standard data as the detection result of the detection information, and outputting the unmanned result.
The latest historical indoor presence/absence assessment information is "out-20: 00 ", generating history information as" out-20: 00', generating detection information by combining heat source state parameter values (20:00:01-80,20:00:03-60,20:00:06-50) in a preset time range, inputting the detection information into the detection result model, and setting standard data most similar to the detection information as follows: and if the result corresponding to the standard data is a person, taking the result corresponding to the standard data as the detection result of the detection information, and outputting the result of the person.
One embodiment is that the detection result of whether or not there is a person in the room can be output specifically according to the following method:
acquiring at least two types of training data, wherein the first type of training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding person result; the second type of training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding unmanned result;
specifically, the first training data comprises historical records of entrance/exit of people in a preset historical time period, first/second heat source state records and corresponding results of people; for example: the method comprises the following steps of (1) identifying an in-time, a plus time-50, an in-time, a plus time-60, an in-time, a plus time-70, an in-time, a plus time-80, an in-time, a plus time-90, an in-time, a plus time-100, an in-time, a plus time-60, an in-time, a plus time-70, an in-time, a plus time-80, an in-time, a plus time-100, an in-time, a plus time-60, an; "out-time" + "time-50" ═ someone, "out-time" + "time-60" ═ someone, "out-time" + "time-70" + "time-80" ═ someone, "out-time" + "time-90" + "time-100" ═ someone, etc.;
the second type of training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding unmanned result; for example: "out-time" + "time-40" ═ unmanned, "out-time" + "time-30" ═ unmanned, "out-time" + "time-25" + "time-20" ═ unmanned, "out-time" + "time-10" ═ unmanned, "out-time" + "time-8" + "time-100" ═ unmanned, etc.;
establishing a detection result model through a preset algorithm according to the training data; the preset algorithm is a Support Vector Machine (SVM);
and inputting the history record of the entering/leaving of the person to be detected and the first/second heat source state record into a detection result model, and outputting the result of the person or the person.
For example: and if the latest evaluation information of the presence/absence of the person in the history room is 'out-20: 00', generating history record information of 'out-20: 00', generating detection information by combining heat source state parameter values (20:00:01-80,20:00:03-60 and 20:00:06-50) in a preset time range, and inputting the detection information into the detection result model to obtain a corresponding result of the presence of the person.
The detection method further comprises the following steps:
step S105: and responding to the correction operation of a user, updating or modifying the historical record of the entering/leaving of the person and the corresponding relation between the preset heat source state parameter value and the result of the person/no person by the detection system, and performing manually supervised learning on the intelligent algorithm by appointing the detection result output corresponding to the door opening and closing historical record and the heat source historical record.
Step 106: and when the detection result of the detection system is the result of the indoor person within the range exceeding the preset time threshold value, the detection system automatically resets the current recording result. The intelligent gateway is provided with an automatic zeroing function, and when the situation that a person is in a room within a very long time due to unpredictable sensor errors occurs, the intelligent gateway is automatically reset to prevent energy waste caused by state locking.
Fig. 3 is a schematic structural diagram of an indoor presence/absence detection system, as shown in fig. 3:
an indoor presence detection system, comprising: the intelligent door lock comprises a pyroelectric sensor, a door magnetic sensor, an intelligent door lock and an intelligent gateway, wherein the pyroelectric sensor, the door magnetic sensor and the intelligent door lock are connected with the intelligent gateway in a wireless communication networking mode; the wireless communication networking mode comprises the following steps: zigbee or bluetooth connection;
wherein,
the intelligent door lock is used for detecting whether an inner handle or an outer handle of the door is touched or not; when the intelligent door lock acquires a touch event of an inner handle or an outer handle, sending the sending touch event to the intelligent gateway;
the pyroelectric sensor is used for detecting whether the indoor heat source state changes or not, and when the heat source state does not change, the pyroelectric sensor is in a low power consumption state; when the state of the heat source changes, a state change awakening circuit of the pyroelectric sensor awakens a wireless communication chip of the pyroelectric sensor, and after state change information is reported to the intelligent gateway, the wireless communication chip of the pyroelectric sensor automatically enters a sleep mode, and the pyroelectric sensor enters a low-power-consumption state; the wireless connection chip of the pyroelectric sensor comprises at least one of the following components: a zigbee communication chip or a bluetooth communication chip; the state change information is a heat source state record in a preset time range; the state change information reported to the intelligent gateway by the pyroelectric sensor is an indoor heat source state parameter value; the indoor heat source state parameter value is a pyroelectric sensor value or a voltage value; the intelligent gateway of the detection system collects indoor heat source state parameter values within a preset time range to obtain heat source state records within the preset time range; and coupling is carried out by combining the historical record information of the entering/leaving of the people, and the detection result of whether the people exist in the room is output. For example, when the state is not changed, the pyroelectric sensor is in a low power consumption state. When the state changes (the state of a heat source in a monitoring room changes), the state change awakening circuit awakens the zigbee chip, reports state change information to the zigbee intelligent gateway, the zigbee chip automatically enters a sleep mode after the actions are completed, and the equipment enters a low-power-consumption state.
The door magnetic sensor is used for detecting the change of the switch state of a monitored object, when the switch state of the monitored object is not changed, the equipment is in a low power consumption state, when the switch state of the monitored object is changed, the state change awakening circuit of the door magnetic sensor can awaken the wireless communication chip of the door magnetic sensor, after the change information of the object switch state is reported to the intelligent gateway, the wireless communication chip of the door magnetic sensor automatically enters a sleep mode, and the door magnetic sensor enters the low power consumption state; the wireless connection chip of the door magnetic sensor comprises at least one of the following components: a zigbee communication chip or a bluetooth communication chip; the object switch state change information comprises opening information or closing information; for example: when the state is not changed, the door magnetic sensor is in a low power consumption state. When the state changes (the switch state of the monitored object changes), the state change awakening circuit awakens the zigbee chip, reports state change information to the zigbee intelligent gateway, the zigbee chip automatically enters a sleep mode after the actions are completed, and the equipment enters a low-power-consumption state.
The intelligent gateway is used as a main controller to collect information, instructions or events transmitted by the pyroelectric sensor, the door magnetic sensor, the manual correction switch and the intelligent door lock, and the result of whether people exist in the room is calculated and output through an intelligent fuzzy algorithm. The intelligent gateway can modify the intelligent fuzzy algorithm parameters by combining the manual modification switch with the historical records, and the modification of the intelligent fuzzy algorithm parameters comprises the following steps: and responding to the correction operation of a user, updating or modifying the historical record of the entering/leaving of the person and the corresponding relation between the preset heat source state parameter value and the result of the person/no person by the detection system, and performing manually supervised learning on the intelligent algorithm by appointing the detection result output corresponding to the door opening and closing historical record and the heat source historical record. The intelligent gateway is provided with an automatic zeroing function, and when the detection result of the detection system is the result of an indoor person within the range exceeding the preset time threshold value, the detection system automatically resets the current recording result. When the situation that a person is in a room for a very long time due to unpredictable sensor errors occurs, the automatic reset is carried out, so that the energy waste caused by state locking is prevented.
The intelligent gateway receives the information reported by each sensor, and judges whether personnel enter or leave according to the sequence of event occurrence:
a) and (3) judging the process of entering by a person: outer handle touch- > door opening detection- > pyroelectric detection
b) Process of determining that someone leaves: pyroelectric detection- > inner handle touch- > door opening detection
The pyroelectric sensor does not feed back a simple manned/unmanned binary state, but feeds back an actual sensor value. This value can be converted in the gateway into a trustworthiness index. The intelligent gateway couples the result reliability index of the pyroelectric sensor through an intelligent fuzzy algorithm with self-adaptive characteristics and by combining with the record of the entrance/exit of people, and outputs the result of whether people exist/do not exist in the room. The intelligent gateway can modify the algorithm parameters by manually modifying the switch and combining the history record, so that the algorithm accuracy is gradually improved. The intelligent gateway has an automatic zeroing function, and automatically resets when the situation that a person is in a room for a very long time due to unpredictable sensor errors occurs, so that energy waste caused by state locking is prevented.
The indoor unmanned detection system who combines many input to judge condition combines multiple input condition, combines the fuzzy algorithm that has the self-adaptation characteristic, makes up the not enough of single sensor detection, improves the detection accuracy.
The system of this application is through combining the someone detection method of many judgement conditions, and the reduction that can be very big adopts the condition of simple pyroelectric method false retrieval or lou examining to take place, to the demand occasion that needs realize intelligent energy management, like the hotel, can realize someone circular telegram, from the effect of people's outage, user experience has both been fine promotion, also the effectual energy of having practiced thrift.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (9)
1. A method for detecting the presence of a person in a room, the method comprising:
the detection system acquires an outer handle touch event;
when the external handle touch event is acquired, a detection system detects whether the switch state of a monitored object is on; if the switch state of the monitored object is on, the detection system collects a first indoor heat source state parameter value within a preset time range to obtain a first heat source state record within the preset time range;
the detection system analyzes and obtains history record information of entering/leaving of a person, and outputs the history record information and the first heat source state record through a preset algorithm to obtain a detection result of whether the person exists in the room or not; the preset algorithm is an intelligent fuzzy algorithm.
2. The method for detecting the presence of a person in a room according to claim 1, further comprising:
when the detection system detects that the indoor heat source state parameter value changes, the detection system acquires an inner handle touch event;
when the inner handle touch event is acquired, the detection system detects whether the switch state of the monitored object is on; if the switch state of the monitored object is on, the detection system collects a second indoor heat source state parameter value within a preset time range to obtain a second heat source state record within the preset time range; the detection system acquires historical record information of people entering/leaving, is coupled with the second heat source state record within a preset time range, and outputs the result of whether people exist/do not exist in the room.
3. The method for detecting the presence of a person in a room according to claim 2, wherein the detecting system outputs the history of the entrance/exit of a person and the first/second heat source status records to obtain the detection result of the presence of a person in a room through a preset algorithm, and the method comprises:
setting a plurality of standard data to obtain a standard data set; the standard data is a history of entrance/exit of a person and a corresponding relation between a preset first/second heat source state parameter value and a result of the person/the nobody;
establishing a detection result model through a preset algorithm according to the standard data set; the preset algorithm is a K nearest neighbor classification algorithm;
and inputting the history record of the entering/leaving of the person to be detected and the first/second heat source state record into a detection result model, and outputting the result of the person or the person.
4. The method for detecting the presence or absence of a person in a room according to claim 3, wherein the preset algorithm comprises a step of outputting a history of entrance/exit of a person and the first/second heat source state record by the detection system through the preset algorithm to obtain a detection result of whether a person is present in a room, and the method comprises the following steps:
acquiring at least two types of training data, namely first type training data and second type training data, wherein the first type training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding person result; the second type of training data comprises a history record of entering/leaving of a person in a preset history time period, a first/second heat source state record and a corresponding unmanned result;
establishing a detection result model through a preset algorithm according to the training data; the preset algorithm is a Support Vector Machine (SVM);
and inputting the history record of the entering/leaving of the person to be detected and the first/second heat source state record into a detection result model, and outputting the result of the person or the person.
5. The method for detecting the presence of a person in a room according to claim 1, further comprising:
and when the detection result of the detection system is the result of the indoor person within the range exceeding the preset time threshold value, the detection system automatically resets the current recording result.
6. An indoor unmanned detection system is characterized in that,
the detection system comprises: the intelligent door lock comprises a pyroelectric sensor, a door magnetic sensor, a manual correction switch, an intelligent door lock and an intelligent gateway, wherein the pyroelectric sensor, the door magnetic sensor and the intelligent door lock are connected with the intelligent gateway in a wireless communication networking mode; the wireless communication networking mode comprises the following steps: zigbee or bluetooth connection; wherein,
the intelligent door lock is used for detecting whether an inner handle or an outer handle of the door is touched or not; when the intelligent door lock acquires a touch event of an inner handle or an outer handle, sending the sending touch event to the intelligent gateway;
the pyroelectric sensor is used for detecting whether the indoor heat source state changes or not, and when the heat source state does not change, the pyroelectric sensor is in a low power consumption state; when the state of the heat source changes, a state change awakening circuit of the pyroelectric sensor awakens a wireless communication chip of the pyroelectric sensor, and after state change information is reported to the intelligent gateway, the wireless communication chip of the pyroelectric sensor automatically enters a sleep mode, and the pyroelectric sensor enters a low-power-consumption state; the wireless connection chip of the pyroelectric sensor comprises at least one of the following components: a zigbee communication chip or a bluetooth communication chip; the state change information is a heat source state record in a preset time range;
the door magnetic sensor is used for detecting the change of the switch state of a monitored object, when the switch state of the monitored object is not changed, the equipment is in a low power consumption state, when the switch state of the monitored object is changed, the state change awakening circuit of the door magnetic sensor can awaken the wireless communication chip of the door magnetic sensor, after the change information of the object switch state is reported to the intelligent gateway, the wireless communication chip of the door magnetic sensor automatically enters a sleep mode, and the door magnetic sensor enters the low power consumption state; the wireless connection chip of the door magnetic sensor comprises at least one of the following components: a zigbee communication chip or a bluetooth communication chip; the object switch state change information comprises opening information or closing information;
the intelligent gateway is used as a main controller to collect information, instructions or events transmitted by the pyroelectric sensor, the door magnetic sensor, the manual correction switch and the intelligent door lock, and the result of whether people exist in the room is calculated and output through an intelligent fuzzy algorithm.
7. The indoor presence/absence detecting system according to claim 6, wherein: the state change information reported to the intelligent gateway by the pyroelectric sensor is an indoor heat source state parameter value; the indoor heat source state parameter value is a pyroelectric sensor value or a voltage value; the intelligent gateway of the detection system collects indoor heat source state parameter values within a preset time range to obtain heat source state records within the preset time range; and coupling is carried out by combining the historical record information of the entering/leaving of the people, and the detection result of whether the people exist in the room is output.
8. The indoor presence/absence detecting system according to claim 6, wherein: the intelligent gateway can modify the intelligent fuzzy algorithm parameters by combining the manual modification switch with the historical records, and the modification of the intelligent fuzzy algorithm parameters comprises the following steps: and responding to the correction operation of the user, and updating or modifying the historical record of the entering/leaving of the person and the corresponding relation between the preset heat source state parameter value and the result of the person/no person by the detection system.
9. The indoor presence/absence detecting system according to claim 6, wherein: and when the detection result of the intelligent gateway is the result of people in the room within the range exceeding the preset time threshold value, the intelligent gateway automatically resets the current recording result.
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| CN112051621B (en) * | 2019-08-15 | 2024-03-15 | 河南紫联物联网技术有限公司 | Method and device for judging whether room is occupied or not |
| CN110989424B (en) * | 2019-11-15 | 2023-08-11 | 得力集团有限公司 | Wireless low-power-consumption human body induction device and application method thereof |
| CN111175756A (en) * | 2020-04-10 | 2020-05-19 | 浙江天地人科技有限公司 | Method, device and system for detecting personnel in house |
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