CN112382039A - Wisdom family cognitive control thing allies oneself with system - Google Patents
Wisdom family cognitive control thing allies oneself with system Download PDFInfo
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- CN112382039A CN112382039A CN202011256671.6A CN202011256671A CN112382039A CN 112382039 A CN112382039 A CN 112382039A CN 202011256671 A CN202011256671 A CN 202011256671A CN 112382039 A CN112382039 A CN 112382039A
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- 230000001149 cognitive effect Effects 0.000 title claims abstract description 60
- 230000002159 abnormal effect Effects 0.000 claims abstract description 44
- 239000000779 smoke Substances 0.000 claims abstract description 24
- 230000005540 biological transmission Effects 0.000 claims abstract description 22
- 238000012545 processing Methods 0.000 claims description 30
- 230000008447 perception Effects 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 5
- 230000005856 abnormality Effects 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 4
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005192 partition Methods 0.000 description 2
- 101100295776 Drosophila melanogaster onecut gene Proteins 0.000 description 1
- 206010021567 Impulsive behaviour Diseases 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000002547 anomalous effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000002650 habitual effect Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
Abstract
The invention discloses a smart home cognitive control internet of things system, which firstly utilizes a sensing equipment layer to collect various data, including environment images and smoke concentration and types under a set scene, then transmits the data to an abnormal recognition module in a smart home internet of things layer to primarily recognize images and data influencing safety, transmits recognition results and corresponding data collected by the sensing equipment layer to a distraction recognition module in a cognitive control layer to screen out false abnormal data and real abnormal data in the recognition results, transmits corresponding judgment results to an inertia control module to control whether an early warning module carries out early warning operation or not, simultaneously stores all the recognition results and corresponding early warning operation in a storage module for storage, and facilitates the direct calling of the abnormal recognition module next time, the data transmission module can be used for remote data transmission, and the false alarm rate of the system is reduced.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to an intelligent home cognitive control internet of things system.
Background
With the acceleration of social informatization, the relationship between work and life of people and communication and information is increasingly tight. The information-based society also provides challenges for traditional houses while changing life styles and working habits of people, the requirements of people on home environments are no longer simple physical spaces but more pursue safety, but the division limit of the safety of the existing intelligent control system in the home environments is rough, the division types are generalized, and the false alarm is increased.
Disclosure of Invention
The invention aims to provide an intelligent household cognitive control internet of things system, and the false alarm rate of the system is reduced.
In order to achieve the above object, the invention provides a smart home cognitive control internet of things system, which comprises a sensing device layer, a smart home internet of things layer and a cognitive control layer, wherein the sensing device layer, the smart home internet of things layer and the cognitive control layer are connected with each other;
the perception device layer is used for acquiring various data by using various intelligent terminals and respectively transmitting the data to the intelligent home internet of things layer and the cognitive control layer;
the intelligent home Internet of things layer is used for receiving the data collected by the sensing equipment layer, and performing abnormity identification, storage, early warning and transmission;
and the cognitive control layer is used for judging whether the data acquired by the perception equipment layer has false abnormal data or not according to the identification result of the intelligent household Internet of things layer and controlling whether to perform early warning or not.
The intelligent household Internet of things layer comprises an abnormity identification module and an early warning module, the abnormity identification module is connected with the sensing equipment layer, and the early warning module is connected with the abnormity identification module and the cognitive control layer;
the abnormal recognition module is used for preprocessing the data collected by the sensing equipment layer and recognizing abnormal data by using a threshold value method;
and the early warning module is used for carrying out corresponding early warning operation according to the judgment result of the cognitive control layer.
The intelligent home Internet of things layer further comprises a storage module, and the storage module is connected with the abnormal recognition module and the cognitive control layer;
and the storage module is used for marking and storing the identification result of the abnormity identification module and the analysis and judgment result of the cognitive control layer.
The cognitive control layer comprises a distraction identification module and an inertia control module, the distraction identification module is connected with the abnormity identification module and the perception equipment layer, and the inertia control module is connected with the distraction identification module and the early warning module;
the distraction identification module is used for identifying and judging false abnormal data according to the abnormal data of the abnormal identification module by combining the corresponding data acquired by the sensing equipment layer;
and the inertia control module is used for judging whether early warning is needed or not according to the judgment result of the distraction identification module and controlling the early warning module.
The abnormality identification module comprises a data processing unit and an identification unit, the data processing unit is connected with the sensing equipment layer, and the identification unit is connected with the data processing unit;
the data processing unit is used for carrying out object identification and distance judgment on the received image data and identifying the collected smoke type;
and the identification unit is used for judging abnormal data of the processing result by utilizing various thresholds according to the result of the data processing unit.
The sensing equipment layer comprises an image acquisition module and a smoke alarm module, and the image acquisition module and the smoke alarm module are both connected with the data processing unit and the distraction identification module;
the image acquisition module is used for acquiring environmental information in a set scene and range;
and the smoke alarm module is used for collecting air components and concentration values in a set environment.
The intelligent household cognitive control internet of things system further comprises a data transmission module, and the data transmission module is connected with the early warning module;
and the data transmission module is used for remotely transmitting the early warning information in the early warning module through a communication network.
The invention relates to a smart home cognitive control internet of things system, which firstly utilizes a sensing equipment layer to collect various data, including environment images and smoke concentration and types under a set scene, then transmits the data to an abnormal recognition module in a smart home internet of things layer to primarily recognize images and data influencing safety, transmits recognition results and corresponding data collected by the sensing equipment layer to a distraction recognition module in a cognitive control layer to screen out false abnormal data and real abnormal data in the recognition results, transmits corresponding judgment results to an inertia control module to control whether an early warning module carries out early warning operation or not, and simultaneously stores all the recognition results and corresponding early warning operation in a storage module for storage, thereby facilitating the direct calling of the abnormal recognition module next time, the data transmission module can be used for remote data transmission, and the false alarm rate of the system is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent home cognitive control internet of things system provided by the invention.
Fig. 2 is a schematic structural diagram of an intelligent home internet layer provided by the present invention.
The system comprises a sensing device layer 1, an intelligent household internet of things layer 2, a cognitive control layer 3, an image acquisition module 11, a smoke alarm module 12, an abnormality recognition module 21, an early warning module 22, a storage module 23, a positioning module 24, a data processing unit 211, a recognition unit 212, a distraction recognition module 31, an inertia control module 32, a data transmission module 4 and a supervision module 5.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, and are used merely for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Referring to fig. 1 and 2, the present invention provides a smart home cognitive control internet of things system, which includes a sensing device layer 1, a smart home internet of things layer 2 and a cognitive control layer 3, wherein the sensing device layer 1, the smart home internet of things layer 2 and the cognitive control layer 3 are connected to each other;
the perception device layer 1 is used for acquiring various data by using various intelligent terminals and respectively transmitting the data to the intelligent home internet of things layer 2 and the cognitive control layer 3;
the intelligent home Internet of things layer 2 is used for receiving the data collected by the sensing equipment layer 1, and performing abnormity identification, storage, early warning and transmission;
and the cognitive control layer 3 is used for judging whether the data collected by the perception equipment layer 1 has false abnormal data or not according to the identification result of the intelligent home internet of things layer 2 and controlling whether early warning is performed or not.
In this embodiment, first, a plurality of kinds of necessary data are collected by using a plurality of kinds of intelligent terminals installed in the sensing device layer 1 in a home environment, for example, an environment image collected by using a camera, a smoke concentration value collected by using a smoke alarm device, a temperature value collected by using a temperature sensor, etc., then all the collected data are transmitted to the smart home internet of things layer 2 to identify abnormal data, data which may affect security in the collected data are preliminarily determined, then a primary screening result is transmitted to the cognitive control layer 3, and whether the data are data which may actually affect security is determined by combining the data collected by the sensing device layer 1, for example, some objects in a certain frame of image data collected only pass through a short distance from a collection range and do not affect the abnormal data of security, and according to the judgment result, whether the intelligent home Internet of things layer 2 carries out early warning processing or not is controlled, so that the situation of misinformation of data can be effectively reduced, and the waste of resources can be reduced.
Further, the smart home internet of things layer 2 comprises an anomaly identification module 21 and an early warning module 22, the anomaly identification module 21 is connected with the sensing equipment layer 1, and the early warning module 22 is connected with the anomaly identification module 21 and the cognitive control layer 3;
the anomaly identification module 21 is configured to perform preprocessing according to the data acquired by the sensing device layer 1, and identify anomalous data by using a threshold method;
the early warning module 22 is configured to perform corresponding early warning operations according to the determination result of the cognitive control layer 3.
In this embodiment, the anomaly identification module 21 is used to identify data collected by the sensing device layer 1, identify whether the security of the corresponding home environment is affected, if the security is too dense smoke, if a dangerous object in a short distance appears, and the like, and according to the identified result, identify each collected data by using a threshold method, detect abnormal data, and the early warning module 22 can determine whether early warning is needed or not and what early warning operation is needed according to the identification result of the anomaly identification module 21 and the determination result of the cognitive control layer 3, such as automatic alarm, sending early warning information or direct networking for alarm processing under the current environment, and the like.
Further, the smart home internet of things layer 2 further includes a storage module 23, and the storage module 23 is connected to the anomaly identification module 21 and the cognitive control layer 3;
the storage module 23 is configured to mark and store the recognition result of the abnormality recognition module 21 and the analysis and judgment result of the cognitive control layer 3.
In this embodiment, the storage module 23 is used to store all the data received by the anomaly identification module 21, and at the same time, the determination result of the cognitive control layer 3 is correspondingly stored, so as to mark false anomaly data, which is convenient for directly calling the determination result already stored in the storage module 23 when the anomaly identification module 21 identifies a corresponding or similar situation next time, thereby reducing the calculation amount of the cognitive control layer 3 and reducing the operation time.
Further, the cognitive control layer 3 includes a distracter identification module 31 and an inertia control module 32, the distracter identification module 31 is connected with the anomaly identification module 21 and the perception device layer 1, and the inertia control module 32 is connected with the distracter identification module 31 and the early warning module 22;
the distractor identification module 31 is configured to perform identification and judgment on false abnormal data according to the abnormal data of the abnormal identification module 21 in combination with the corresponding data acquired by the sensing device layer 1;
the inertia control module 32 is configured to determine whether an early warning is required according to the determination result of the distraction identification module 31, and control the early warning module 22.
In the present embodiment, the distraction identification module 31 is used to receive the abnormal data identified in the abnormal identification module 21, and determine whether the transmitted data contains factors that really affect the safety, such as whether the data is determined to be abnormal data by passing a short distance, and a series of false abnormal data such as smoke in the early stage of fire, etc. are determined to be smoke in the early stage of fire, etc. if the data is determined to be abnormal data by passing a short distance, the number of times and the result of early warning in the early warning module 22 can be reduced, and the inertial control module 32 is also used to control the early warning module 22 to perform early warning processing immediately after the abnormal identification module 21 identifies the abnormal data, so as to ensure that the early warning module 22 performs corresponding early warning result only after the determination result of the intelligent distraction identification module 31 is transmitted to the home internet layer 2, the method can inhibit habitual or impulsive behaviors, and can identify and judge false abnormal data, so that the false alarm condition and the early warning frequency are reduced.
Further, the anomaly identification module 21 includes a data processing unit 211 and an identification unit 212, where the data processing unit 211 is connected to the sensing device layer 1, and the identification unit 212 is connected to the data processing unit 211;
the data processing unit 211 is configured to perform object identification and distance judgment on the received image data, and identify the collected smoke type;
the identifying unit 212 is configured to perform abnormal data determination on the processing result by using multiple thresholds according to the result of the data processing unit 211.
In this embodiment, after the anomaly identification module 21 receives the data collected by the sensing device layer 1, the data processing unit 211 is first used to identify the data of the received image class, classify the factors affecting the safety in the obtained image, calculate the distance value from the collected device, and also distinguish and identify the type of the collected smoke, and count the corresponding concentration value, and then transmit the calculated value to the identification unit 212, and respectively identify and judge the distance value, the concentration value, or other values by using the corresponding different set thresholds, classify the distance value smaller than the threshold into anomaly data, classify the concentration value greater than the threshold into anomaly data, or classify the temperature value greater than the threshold into anomaly data, and the classification method is similar to the situation belonging to one-cut, that is, the partition boundary is not clear, and the partition types are relatively generalized, so the recognition result of the recognition unit 212 is transmitted to the distractor recognition module 31 to judge false abnormal data, thereby reducing the false alarm situation and saving the corresponding alarm processing resources.
Further, the sensing device layer 1 includes an image acquisition module 11 and a smoke alarm module 12, and both the image acquisition module 11 and the smoke alarm module 12 are connected to the data processing unit 211 and the distractor identification module 31;
the image acquisition module 11 is used for acquiring environmental information in a set scene and range;
and the smoke alarm module 12 is used for collecting air components and concentration values in a set environment.
In this embodiment, the image acquisition module 11 is used to acquire all environmental information in a set scene and range, the smoke alarm module 12 is used to acquire smoke concentration and components in a corresponding environment, and the sensing device layer 1 may further include a temperature acquisition module, a vibration acquisition module, and other terminal devices to transmit data acquired by all the devices to the smart home internet of things layer 2 and the distraction identification module 31.
Further, the intelligent home cognitive control internet of things system further comprises a data transmission module 4, and the data transmission module 4 is connected with the early warning module 22;
the data transmission module 4 is configured to remotely transmit the warning information in the warning module 22 through a communication network.
In this embodiment, the early warning information of the early warning module 22 is transmitted to the data transmission module 4, and is transmitted to the corresponding receiving terminal device or the corresponding alarm processing platform through the communication network to perform early warning, so as to improve the timeliness of data.
Further, the smart home internet of things layer 2 further comprises a positioning module 24, and the positioning module 24 is connected with the early warning module 22;
the positioning module 24 is configured to obtain the position information of the corresponding early warning module 22.
In this embodiment, the positioning module 24 is used to obtain the position information of the early warning module 22, and when performing early warning operation, the corresponding position information is transmitted in combination with the early warning information, so as to facilitate timely grasping of the early warning position.
Further, the smart home cognitive control internet of things system further comprises a supervision module 5, wherein the supervision module 5 is connected with the smart home internet of things layer 2 and the cognitive control layer 3;
the supervision module 5 is configured to supervise all data processing and transmission processes in the smart home internet of things layer 2 and the cognitive control layer 3.
In this embodiment, the monitoring module 5 is used to monitor all data transmission and processing processes in the smart home internet of things layer 2 and the cognitive control layer 3, so as to avoid missing or calculation errors, which affect the alarm of the system and further cause situations such as missing or false alarm.
The invention relates to an intelligent household cognitive control internet of things system, which firstly utilizes a sensing device layer 1 to collect various data, including environment images and smoke concentration and types under a set scene, then transmits the data to an abnormal recognition module 21 in an intelligent household internet of things layer 2 to primarily recognize images and data which affect the safety, transmits recognition results and corresponding data collected by the sensing device layer 1 to a distraction recognition module 31 in a cognitive control layer 3 to screen out false abnormal data and real abnormal data in the recognition results, transmits corresponding judgment results to an inertia control module 32 to control whether an early warning module 22 carries out early warning operation or not, simultaneously stores all the recognition results and corresponding early warning operation in a storage module 23 for storage, and is convenient for the direct calling of the abnormal recognition module 21 next time, and the data transmission module 4 can be used for remote data transmission, so that the false alarm rate of the system is reduced.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. An intelligent household cognitive control internet of things system is characterized in that,
the intelligent household cognitive control internet of things system comprises a sensing equipment layer, an intelligent household internet of things layer and a cognitive control layer, wherein the sensing equipment layer, the intelligent household internet of things layer and the cognitive control layer are connected with one another;
the perception device layer is used for acquiring various data by using various intelligent terminals and respectively transmitting the data to the intelligent home internet of things layer and the cognitive control layer;
the intelligent home Internet of things layer is used for receiving the data collected by the sensing equipment layer, and performing abnormity identification, storage, early warning and transmission;
and the cognitive control layer is used for judging whether the data acquired by the perception equipment layer has false abnormal data or not according to the identification result of the intelligent household Internet of things layer and controlling whether to perform early warning or not.
2. The intelligent home cognitive control internet of things system of claim 1,
the intelligent household Internet of things layer comprises an abnormity identification module and an early warning module, the abnormity identification module is connected with the sensing equipment layer, and the early warning module is connected with the abnormity identification module and the cognitive control layer;
the abnormal recognition module is used for preprocessing the data collected by the sensing equipment layer and recognizing abnormal data by using a threshold value method;
and the early warning module is used for carrying out corresponding early warning operation according to the judgment result of the cognitive control layer.
3. The intelligent home cognitive control internet of things system of claim 2,
the intelligent home Internet of things layer also comprises a storage module, and the storage module is connected with the abnormity identification module and the cognitive control layer;
and the storage module is used for marking and storing the identification result of the abnormity identification module and the analysis and judgment result of the cognitive control layer.
4. The intelligent home cognitive control internet of things system of claim 2,
the cognitive control layer comprises a distraction identification module and an inertia control module, the distraction identification module is connected with the abnormity identification module and the sensing equipment layer, and the inertia control module is connected with the distraction identification module and the early warning module;
the distraction identification module is used for identifying and judging false abnormal data according to the abnormal data of the abnormal identification module by combining the corresponding data acquired by the sensing equipment layer;
and the inertia control module is used for judging whether early warning is needed or not according to the judgment result of the distraction identification module and controlling the early warning module.
5. The intelligent home cognitive control internet of things system of claim 2,
the abnormality identification module comprises a data processing unit and an identification unit, the data processing unit is connected with the sensing equipment layer, and the identification unit is connected with the data processing unit;
the data processing unit is used for carrying out object identification and distance judgment on the received image data and identifying the collected smoke type;
and the identification unit is used for judging abnormal data of the processing result by utilizing various thresholds according to the result of the data processing unit.
6. The intelligent home cognitive control internet of things system of claim 4,
the sensing equipment layer comprises an image acquisition module and a smoke alarm module, and the image acquisition module and the smoke alarm module are both connected with the data processing unit and the distractor identification module;
the image acquisition module is used for acquiring environmental information in a set scene and range;
and the smoke alarm module is used for collecting air components and concentration values in a set environment.
7. The intelligent home cognitive control internet of things system of claim 2,
the intelligent household cognitive control internet of things system also comprises a data transmission module, and the data transmission module is connected with the early warning module;
and the data transmission module is used for remotely transmitting the early warning information in the early warning module through a communication network.
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| CN202011256671.6A CN112382039A (en) | 2020-11-11 | 2020-11-11 | Wisdom family cognitive control thing allies oneself with system |
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Application publication date: 20210219 |