CN112735078A - Intelligent home management method and system of Internet of things - Google Patents

Intelligent home management method and system of Internet of things Download PDF

Info

Publication number
CN112735078A
CN112735078A CN202011573507.8A CN202011573507A CN112735078A CN 112735078 A CN112735078 A CN 112735078A CN 202011573507 A CN202011573507 A CN 202011573507A CN 112735078 A CN112735078 A CN 112735078A
Authority
CN
China
Prior art keywords
image
indoor environment
area
power supply
value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011573507.8A
Other languages
Chinese (zh)
Other versions
CN112735078B (en
Inventor
兰雨晴
余丹
王丹星
杨文昭
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongbiao Huian Information Technology Co Ltd
Original Assignee
Zhongbiao Huian Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongbiao Huian Information Technology Co Ltd filed Critical Zhongbiao Huian Information Technology Co Ltd
Priority to CN202011573507.8A priority Critical patent/CN112735078B/en
Publication of CN112735078A publication Critical patent/CN112735078A/en
Application granted granted Critical
Publication of CN112735078B publication Critical patent/CN112735078B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • 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
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/185—Electrical failure alarms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network

Landscapes

  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Multimedia (AREA)
  • Analytical Chemistry (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Alarm Systems (AREA)

Abstract

The invention provides an intelligent home management method and system of the Internet of things, which can carry out shooting, smoke concentration detection and power supply line detection on the indoor environment of a home, determining a potential fire position area corresponding to the household indoor environment according to the smoke concentration state information, determining fire state information of the potential fire area by combining the preprocessed environment image, performing corresponding Internet of things alarm operation according to the fire state information, meanwhile, whether the electric equipment works normally or not is judged according to the state information of the power supply line, and finally, corresponding power supply state switching operation of the Internet of things is carried out according to the judgment result, thus, the fire condition state and the working state of the power supply line can be effectively monitored and managed in different areas in the home environment, therefore, various potential safety hazards existing in the home environment can be found in time, and the safety of the home environment and the automation and intelligent degree of home management can be effectively improved.

Description

Intelligent home management method and system of Internet of things
Technical Field
The invention relates to the technical field of intelligent home, in particular to an intelligent home management method and system of the Internet of things.
Background
At present, intelligent home management becomes an important development direction of home management, and electrical equipment, lighting equipment and other supporting equipment in a home can be controlled at any time and any place through an intelligent home technology, so that the home environment can be automatically adjusted in adaptability according to the actual needs of residents. However, in the smart home management in the prior art, corresponding adjustment control is mainly performed on electrical equipment and the like in the home environment, and effective monitoring management of a fire state and a power supply line working state is not performed on different areas inside the home environment, so that various potential safety hazards existing in the home environment cannot be found in time, and the safety of the home environment and the automation and intelligence degree of the home management cannot be effectively improved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent home management method and system of the Internet of things, which respectively obtain an environment image, smoke concentration state information and power supply line state information about a home indoor environment by shooting the home indoor environment, detecting smoke concentration and detecting a power supply line, preprocesses the environment image, determines a potential fire position area corresponding to the home indoor environment according to the smoke concentration state information, extracts a region image corresponding to the potential fire position area from the preprocessed environment image, analyzes and processes the region image to determine fire state information of the potential fire region, performs corresponding alarm operation of the Internet of things according to the fire state information, determines actual power consumption state information of different electrical equipment in the home indoor environment according to the power supply line state information, whether the electric equipment works normally or not is judged according to the judgment result, and therefore corresponding power supply state switching operation of the Internet of things is carried out according to the judgment result; therefore, the intelligent home management method and system of the Internet of things can carry out shooting, smoke concentration detection and power supply line detection on the indoor environment of the home, determining a potential fire position area corresponding to the household indoor environment according to the smoke concentration state information, determining fire state information of the potential fire area by combining the preprocessed environment image, performing corresponding Internet of things alarm operation according to the fire state information, meanwhile, whether the electric equipment works normally or not is judged according to the state information of the power supply line, and finally, corresponding power supply state switching operation of the Internet of things is carried out according to the judgment result, thus, the fire condition state and the working state of the power supply line can be effectively monitored and managed in different areas in the home environment, therefore, various potential safety hazards existing in the home environment can be found in time, and the safety of the home environment and the automation and intelligent degree of home management can be effectively improved.
The invention provides an intelligent home management method of an Internet of things, which is characterized by comprising the following steps:
step S1, shooting the indoor environment of the house, detecting the smoke concentration and the power supply line, so as to respectively obtain the environment image, the smoke concentration state information and the power supply line state information of the indoor environment of the house, and pre-process the environment image;
step S2, determining a potential fire position area corresponding to the home indoor environment according to the smoke concentration state information, extracting an area image corresponding to the potential fire position area from the preprocessed environment image, analyzing and processing the area image to determine fire state information of the potential fire area, and performing corresponding Internet of things alarm operation according to the fire state information;
step S3, according to the power supply line state information, determining actual power utilization state information of different electrical equipment in the household indoor environment, so as to judge whether the electrical equipment works normally, and accordingly, corresponding Internet of things power supply state switching operation is carried out according to the judgment result;
further, in step S1, the shooting, the smoke concentration detection, and the power line detection are performed on the home indoor environment, so as to obtain an environment image, smoke concentration state information, and power line state information about the home indoor environment, respectively, and the preprocessing the environment image specifically includes:
step S101, scanning and shooting the household indoor environment to obtain environment images of different areas of the household indoor environment, and sequentially carrying out image background noise reduction filtering processing and pixel graying conversion processing on the environment images to obtain grayed environment images;
step S102, carrying out distributed smoke concentration detection on the household indoor environment so as to determine smoke concentration values and smoke diffusion coverage range values of different areas of the household indoor environment;
step S103, carrying out current detection on a power supply line of the household indoor environment so as to obtain an actual current value of the power supply line correspondingly connected with electrical equipment contained in the household indoor environment;
further, in step S102, performing distributed smoke concentration detection on the home indoor environment, so as to determine smoke concentration values and smoke diffusion coverage values of different areas of the home indoor environment specifically include:
the smoke concentration detection devices are distributed and installed in a home room, so that corresponding smoke concentration values in the home room are obtained, and by using the following formula (1), the smoke concentration values and the smoke diffusion coverage range values of different areas of the home indoor environment are obtained according to the smoke concentration values detected by the smoke concentration detection devices
Figure BDA0002856584470000031
In the above formula (1), PaExpressing the smoke concentration value, F, of the a-th area of the indoor environment of the homeaRepresents the smoke diffusion coverage range value, N, of the a-th area of the indoor environment of the homeiIndicating that the ith smoke concentration detection device detects a smoke concentration value, i belongs to a area of the indoor environment of the house, and Di∈aIndicating whether the ith smoke concentration detection means is in saidA determination value of an a-th area of a home indoor environment, and D when the i-th smoke concentration detection device is within the a-th area of the home indoor environmenti∈a1, when the ith smoke concentration detection device is not in the a-th area of the household indoor environmenti∈aN denotes the total number of smoke concentration detection devices, SaThe area of the region, δ, representing the a-th region of the domestic indoor environment]A function value representing a unit impulse function, the unit impulse function being 1 when a value in parentheses is equal to 0, and the unit impulse function being 0 when the value in parentheses is not equal to 0;
further, in step S2, determining a potential fire location area corresponding to the home indoor environment according to the smoke concentration state information, extracting an area image corresponding to the potential fire location area from the preprocessed environment image, and analyzing and processing the area image to determine fire state information of the potential fire area, so that performing a corresponding internet of things alarm operation according to the fire state information specifically includes:
step S201, comparing the smoke concentration value with a preset smoke concentration threshold value and comparing the smoke diffusion coverage range value with a preset smoke diffusion area threshold value, and if the smoke concentration value exceeds the preset smoke concentration threshold value and the smoke diffusion coverage range value exceeds the preset smoke diffusion area threshold value, determining a region corresponding to the home indoor environment as a potential fire position region;
step S202, according to the position information of the potential fire position area in the home indoor environment, extracting an area image related to the position information from the gray environment image, and acquiring image texture feature information corresponding to the area image;
step S203, determining an image texture line distribution density value corresponding to the regional image according to the image texture feature information, comparing the image texture line distribution density value with a preset texture line distribution density threshold, if the image texture line distribution density value is greater than or equal to the preset texture line distribution density threshold, determining that the potential fire area really generates fire, and transmitting position information of the fire to a cloud end through an Internet of things to perform corresponding alarm operation;
further, in step S201, comparing the smoke concentration value with a preset smoke concentration threshold value and comparing the smoke diffusion coverage value with a preset smoke diffusion area threshold value, and if the smoke concentration value exceeds the preset smoke concentration threshold value and the smoke diffusion coverage value exceeds the preset smoke diffusion area threshold value, determining a region corresponding to the home indoor environment as a potential fire position region specifically includes:
obtaining the potential fire location area according to the smoke concentration value and the smoke diffusion coverage area value by using the following formula (2),
Aa＝δ[u(Pa-P)+u(Fa-F)-2] (2)
in the above formula (2), AaThe judgment value that the a-th area of the indoor environment of the home is the area of the potential fire, P represents a preset smoke concentration threshold, F represents a preset smoke diffusion area threshold, u () represents a step function, the function value of the step function is 1 when the value in the brackets is greater than or equal to 0, and the function value of the step function is 0 when the value in the brackets is less than 0;
if Aa0, the a-th area of the household indoor environment is not the area of the potential fire position;
if Aa1, representing that the a-th area of the household indoor environment is the area of the potential fire position;
and the number of the first and second groups,
in step S203, determining, according to the image texture feature information, an image texture line distribution density value corresponding to the region image specifically includes:
extracting the area image related to the position information from the grayed environment image to obtain image texture characteristic information corresponding to the area image through the following formula (3), determining the image texture line distribution density value rho corresponding to the area image through the image texture characteristic information,
Figure BDA0002856584470000051
in the above formula (3), HxyExpressing the gray value of the pixel points at the X row and the Y column in the image matrix corresponding to the regional image related to the position information extracted from the grayed environmental image, wherein X expresses the number of the pixel points at each row in the image matrix corresponding to the regional image related to the position information extracted from the grayed environmental image, and Y expresses the number of the pixel points at each row in the image matrix corresponding to the regional image related to the position information extracted from the grayed environmental image, delta]A function value representing a unit impulse function, the unit impulse function being 1 when a value in parentheses is equal to 0, and the unit impulse function being 0 when the value in parentheses is not equal to 0;
further, in step S3, according to the power supply line status information, actual power consumption status information of different electrical equipment in the home indoor environment is determined, so as to determine whether the electrical equipment is working normally, and performing a corresponding switching operation of the power supply status of the internet of things according to the determination result specifically includes:
step S301, determining an actual power supply current change value in a power supply line correspondingly connected with the electrical equipment according to the actual current value, comparing the actual power supply current change value with a preset power supply current change threshold value, determining that the electrical equipment is in an abnormal working state if the actual power supply current change value exceeds the preset power supply current change threshold value, and otherwise determining that the electrical equipment is in a normal working state;
and S302, uploading the type information and the position information of the electrical equipment in the abnormal working state to a cloud terminal through the Internet of things, and performing corresponding power-off switching operation.
The invention also provides an intelligent home management system of the Internet of things, which is characterized by comprising an image shooting module, a smoke concentration detection module, a power supply line state detection module, an environment image preprocessing module, a fire alarm operation module and a power supply state switching module; wherein the content of the first and second substances,
the image shooting module is used for shooting a home indoor environment so as to obtain an environment image about the home indoor environment;
the smoke concentration detection module is used for detecting the smoke concentration of the indoor environment of a home to obtain the smoke concentration state information of the indoor environment of the home;
the power supply line state detection module is used for detecting a power supply line of a household indoor environment so as to obtain power supply line state information about the household indoor environment;
the environment image preprocessing module is used for preprocessing the environment image;
the fire alarm operation module is used for determining a potential fire position area corresponding to the household indoor environment according to the smoke concentration state information, extracting an area image corresponding to the potential fire position area from the preprocessed environment image, analyzing and processing the area image to determine the fire state information of the potential fire area, and accordingly performing corresponding Internet of things alarm operation according to the fire state information;
the power supply state switching module is used for determining actual power consumption state information of different electrical equipment in the household indoor environment according to the power supply line state information so as to judge whether the electrical equipment works normally or not, and accordingly, corresponding Internet of things power supply state switching operation is carried out according to the judgment result;
further, the image shooting module shoots a home indoor environment, so as to obtain an environmental image about the home indoor environment specifically includes:
scanning and shooting the household indoor environment to obtain environment images of different areas of the household indoor environment
And the number of the first and second groups,
the smoke concentration detection module detects smoke concentration of a home indoor environment, and accordingly obtaining smoke concentration state information about the home indoor environment specifically comprises:
carrying out distributed smoke concentration detection on the home indoor environment so as to determine smoke concentration values and smoke diffusion coverage range values of different areas of the home indoor environment;
and the number of the first and second groups,
the power supply line state detection module detects a power supply line for the household indoor environment, and accordingly obtaining the power supply line state information about the household indoor environment specifically comprises the following steps:
carrying out current detection on a power supply line of the household indoor environment so as to obtain an actual current value of the power supply line correspondingly connected with electrical equipment contained in the household indoor environment;
and the number of the first and second groups,
the preprocessing of the environment image by the environment image preprocessing module specifically comprises:
sequentially carrying out image background noise reduction filtering processing and pixel graying conversion processing on the environment image so as to obtain a grayed environment image;
further, the fire alarm operation module determines a potential fire position area corresponding to the home indoor environment according to the smoke concentration state information, extracts an area image corresponding to the potential fire position area from the preprocessed environment image, and analyzes and processes the area image to determine the fire state information of the potential fire area, so that the corresponding internet of things alarm operation according to the fire state information specifically includes:
comparing the smoke concentration value with a preset smoke concentration threshold value and comparing the smoke diffusion coverage range value with a preset smoke diffusion area threshold value, and if the smoke concentration value exceeds the preset smoke concentration threshold value and the smoke diffusion coverage range value exceeds the preset smoke diffusion area threshold value, determining a region corresponding to the home indoor environment as a potential fire position region;
extracting a region image related to the position information from the grayed environment image according to the position information of the potential fire position region in the household indoor environment, and acquiring image texture feature information corresponding to the region image;
determining an image texture line distribution density value corresponding to the area image according to the image texture feature information, comparing the image texture line distribution density value with a preset texture line distribution density threshold value, if the image texture line distribution density value is greater than or equal to the preset texture line distribution density threshold value, determining that the potential fire area really generates fire, and transmitting position information of the fire to a cloud end through an internet of things to perform corresponding alarm operation;
further, the power supply state switching module determines actual power consumption state information of different electrical equipment in the household indoor environment according to the power supply line state information, so as to judge whether the electrical equipment works normally, and accordingly, the corresponding internet of things power supply state switching operation according to the judgment result specifically comprises the following steps:
determining an actual power supply current change value in a power supply line correspondingly connected with the electrical equipment according to the actual current value, comparing the actual power supply current change value with a preset power supply current change threshold value, determining that the electrical equipment is in an abnormal working state if the actual power supply current change value exceeds the preset power supply current change threshold value, and otherwise determining that the electrical equipment is in a normal working state;
and uploading the type information and the position information of the electrical equipment in the abnormal working state to a cloud terminal through the Internet of things and carrying out corresponding power-off switching operation.
Compared with the prior art, the intelligent home management method and system of the internet of things respectively obtain the environment image, the smoke concentration state information and the power supply line state information of the home indoor environment by shooting the home indoor environment, detecting the smoke concentration and detecting the power supply line, preprocesses the environment image, determines the potential fire position area corresponding to the home indoor environment according to the smoke concentration state information, extracts the area image corresponding to the potential fire position area from the preprocessed environment image, analyzes and processes the area image to determine the fire state information of the potential fire area, performs corresponding internet of things alarm operation according to the fire state information, and determines the actual power consumption state information of different electrical equipment in the home indoor environment according to the power supply line state information, whether the electric equipment works normally or not is judged according to the judgment result, and therefore corresponding power supply state switching operation of the Internet of things is carried out according to the judgment result; therefore, the intelligent home management method and system of the Internet of things can carry out shooting, smoke concentration detection and power supply line detection on the indoor environment of the home, determining a potential fire position area corresponding to the household indoor environment according to the smoke concentration state information, determining fire state information of the potential fire area by combining the preprocessed environment image, performing corresponding Internet of things alarm operation according to the fire state information, meanwhile, whether the electric equipment works normally or not is judged according to the state information of the power supply line, and finally, corresponding power supply state switching operation of the Internet of things is carried out according to the judgment result, thus, the fire condition state and the working state of the power supply line can be effectively monitored and managed in different areas in the home environment, therefore, various potential safety hazards existing in the home environment can be found in time, and the safety of the home environment and the automation and intelligent degree of home management can be effectively improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
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 flow chart of an intelligent home management method of the internet of things provided by the invention.
Fig. 2 is a schematic structural diagram of an intelligent home management system of the internet of things provided by the invention.
Detailed Description
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, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a schematic flow chart of an intelligent home management method of the internet of things is provided in the embodiment of the present invention. The intelligent home management method of the Internet of things comprises the following steps:
step S1, shooting the indoor environment of the house, detecting the smoke concentration and the power supply line, so as to respectively obtain the environment image, the smoke concentration state information and the power supply line state information of the indoor environment of the house, and preprocess the environment image;
step S2, determining a potential fire position area corresponding to the home indoor environment according to the smoke concentration state information, extracting an area image corresponding to the potential fire position area from the preprocessed environment image, analyzing and processing the area image to determine the fire state information of the potential fire area, and performing corresponding Internet of things alarm operation according to the fire state information;
step S3, according to the power supply line state information, determining the actual power utilization state information of different electrical equipment in the household indoor environment, so as to judge whether the electrical equipment works normally, and thus, according to the judgment result, performing corresponding Internet of things power supply state switching operation.
The beneficial effects of the above technical scheme are: the intelligent home management method of the Internet of things comprises the steps of shooting the indoor environment of a home, detecting the smoke concentration and detecting a power supply line, determining a potential fire position area corresponding to the household indoor environment according to the smoke concentration state information, determining fire state information of the potential fire area by combining the preprocessed environment image, performing corresponding Internet of things alarm operation according to the fire state information, meanwhile, whether the electric equipment works normally or not is judged according to the state information of the power supply line, and finally, corresponding power supply state switching operation of the Internet of things is carried out according to the judgment result, thus, the fire condition state and the working state of the power supply line can be effectively monitored and managed in different areas in the home environment, therefore, various potential safety hazards existing in the home environment can be found in time, and the safety of the home environment and the automation and intelligent degree of home management can be effectively improved.
Preferably, in step S1, the shooting, the smoke concentration detection and the power line detection are performed on the indoor environment of the home, so as to obtain an environment image, smoke concentration state information and power line state information about the indoor environment of the home, respectively, and the preprocessing the environment image specifically includes:
step S101, scanning and shooting the household indoor environment to obtain environment images of different areas of the household indoor environment, and sequentially carrying out image background noise reduction filtering processing and pixel graying conversion processing on the environment images to obtain grayed environment images;
step S102, carrying out distributed smoke concentration detection on the household indoor environment so as to determine smoke concentration values and smoke diffusion coverage range values of different areas of the household indoor environment;
step S103, current detection is carried out on the power supply line of the household indoor environment, so that the actual current value of the power supply line correspondingly connected with the electrical equipment contained in the household indoor environment is obtained.
The beneficial effects of the above technical scheme are: by scanning and shooting the household indoor environment, detecting the distributed smoke concentration and detecting the current of the power supply line, the environment image, the smoke concentration value and the smoke diffusion coverage range value of different areas of the household environment and the actual current value of the power supply line correspondingly connected with all electrical equipment of the household indoor environment can be quickly and accurately obtained, and reliable data support is provided for the subsequent evaluation of the fire condition state and the electricity utilization safety state of the household indoor environment.
Preferably, in step S102, performing distributed smoke concentration detection on the home indoor environment, so as to determine smoke concentration values and smoke diffusion coverage values of different areas of the home indoor environment specifically include:
the smoke concentration detection devices are distributed and installed in a home room, so that corresponding smoke concentration values in the home room are obtained, and by using the following formula (1), the smoke concentration values and the smoke diffusion coverage range values of different areas of the home indoor environment are obtained according to the smoke concentration values detected by the smoke concentration detection devices
Figure BDA0002856584470000111
In the above formula (1), PaExpressing the smoke concentration value, F, of the a-th area of the indoor environment of the homeaRepresents the smoke diffusion coverage range value, N, of the a-th area of the indoor environment of the homeiIndicating that the ith smoke concentration detection device detects a smoke concentration value, i belongs to a area of the indoor environment of the house, and Di∈aA determination value indicating whether the ith smoke concentration detection device is in the a-th area of the household indoor environment, and D when the ith smoke concentration detection device is in the a-th area of the household indoor environmenti∈a1, when the ith smoke concentration detection device is not in the a-th area of the household indoor environmenti∈aN represents the total number of smoke concentration detection devicesNumber, SaThe area of the region, δ, representing the a-th region of the domestic indoor environment]A function value of the unit impulse function is 1 when a value in parentheses is equal to 0, and is 0 when a value in parentheses is not equal to 0, representing the unit impulse function.
The beneficial effects of the above technical scheme are: the smoke concentration values and the smoke diffusion coverage range values of different areas of the indoor environment of the home are obtained according to the smoke concentration values detected by the smoke concentration detection device by using the formula (1), so that the smoke concentration values and the smoke diffusion coverage range values of different areas of the indoor environment of the home are accurately analyzed and calculated according to the detection condition of the smoke concentration detection device.
Preferably, in step S2, determining a potential fire location area corresponding to the home indoor environment according to the smoke concentration status information, extracting an area image corresponding to the potential fire location area from the preprocessed environment image, and performing analysis processing on the area image to determine the fire status information of the potential fire area, so that performing a corresponding alarm operation of the internet of things according to the fire status information specifically includes:
step S201, comparing the smoke concentration value with a preset smoke concentration threshold value and comparing the smoke diffusion coverage range value with a preset smoke diffusion area threshold value, and if the smoke concentration value exceeds the preset smoke concentration threshold value and the smoke diffusion coverage range value exceeds the preset smoke diffusion area threshold value, determining a region corresponding to the home indoor environment as a potential fire position region;
step S202, according to the position information of the potential fire position area in the household indoor environment, extracting an area image related to the position information from the gray environment image, and acquiring image texture characteristic information corresponding to the area image;
step S203, determining an image texture line distribution density value corresponding to the area image according to the image texture feature information, comparing the image texture line distribution density value with a preset texture line distribution density threshold, if the image texture line distribution density value is greater than or equal to the preset texture line distribution density threshold, determining that a fire actually occurs in the potential fire area, and transmitting location information of the fire occurrence to a cloud end through an internet of things for a corresponding alarm operation.
The beneficial effects of the above technical scheme are: because when a fire happens in a certain region of the house internal environment, the indoor temperature in the region can correspondingly rise, the image texture line distribution density value of the corresponding image in the region can be enlarged, the image texture line distribution density value of the corresponding image in the region is compared with the preset texture line distribution density threshold value, whether the fire happens in the potential fire area can be accurately determined, so that the position information of the fire can be conveniently transmitted to the cloud end through the Internet of things to perform corresponding alarm operation, and the fire safety of the house internal environment is improved.
Preferably, in the step S201, comparing the smoke concentration value with a preset smoke concentration threshold value and comparing the smoke diffusion coverage range value with a preset smoke diffusion area threshold value, if the smoke concentration value exceeds the preset smoke concentration threshold value and the smoke diffusion coverage range value exceeds the preset smoke diffusion area threshold value, determining the area corresponding to the home indoor environment as the area of the potential fire occurrence position specifically includes:
obtaining the potential fire location area according to the smoke concentration value and the smoke diffusion coverage area value by using the following formula (2),
Aa＝δ[u(Pa-P)+u(Fa-F)-2] (2)
in the above formula (2), AaThe judgment value that the a-th area of the indoor environment of the home is the area of the potential fire, P represents a preset smoke concentration threshold, F represents a preset smoke diffusion area threshold, u () represents a step function, the function value of the step function is 1 when the value in the brackets is greater than or equal to 0, and the function value of the step function is 0 when the value in the brackets is less than 0;
if Aa0, the a-th area of the household indoor environment is not the area of the potential fire position;
if Aa1, the a-th area of the household indoor environment is the area of the potential fire;
and the number of the first and second groups,
in step S203, determining the distribution density value of the image texture line corresponding to the area image according to the image texture feature information specifically includes:
extracting the area image related to the position information from the grayed environment image to obtain image texture characteristic information corresponding to the area image through the following formula (3), determining the image texture line distribution density value rho corresponding to the area image through the image texture characteristic information,
Figure BDA0002856584470000141
in the above formula (3), HxyExpressing the gray value of the Y-th row pixel point in the image matrix corresponding to the regional image relevant to the position information extracted from the grayed environmental image, wherein X expresses the number of each row pixel point in the image matrix corresponding to the regional image relevant to the position information extracted from the grayed environmental image, and Y expresses the number of each row pixel point in the image matrix corresponding to the regional image relevant to the position information extracted from the grayed environmental image, delta]A function value of the unit impulse function is 1 when a value in parentheses is equal to 0, and is 0 when a value in parentheses is not equal to 0, representing the unit impulse function.
The beneficial effects of the above technical scheme are: obtaining a potential fire position area according to the smoke concentration value and the smoke diffusion coverage range value by using a formula (2), so that the potential fire position area is accurately positioned, and the accuracy and the reliability of the system are ensured; and finally, extracting the area image related to the position information from the grayed environment image by using a formula (3) to obtain image texture feature information corresponding to the area image, and determining the image texture line distribution density value corresponding to the area image according to the image texture feature information, so that the image texture line distribution density value corresponding to the area image is further compared with a preset texture line distribution density threshold value, and the accuracy and the stability of the system are ensured.
Preferably, in step S3, according to the power supply line status information, determining actual power consumption status information of different electrical equipment in the home indoor environment, so as to determine whether the electrical equipment is working normally, and performing corresponding switching operation of the power supply status of the internet of things according to the determination result specifically includes:
step S301, determining an actual power supply current change value in a power supply line correspondingly connected with the electrical equipment according to the actual current value, comparing the actual power supply current change value with a preset power supply current change threshold value, if the actual power supply current change value exceeds the preset power supply current change threshold value, determining that the electrical equipment is in an abnormal working state, otherwise, determining that the electrical equipment is in a normal working state;
and S302, uploading the type information and the position information of the electrical equipment in the abnormal working state to a cloud terminal through the Internet of things, and performing corresponding power-off switching operation.
The beneficial effects of the above technical scheme are: when the power supply line of the household indoor environment is abnormal, the power supply current of the electrical equipment can be changed to a larger amplitude value, so that the actual power supply current change value in the power supply line correspondingly connected with the electrical equipment is compared with the preset power supply current change threshold value, whether the working state of the electrical equipment is normal or not can be accurately determined, and the corresponding power-off switching operation can be carried out, so that the power utilization safety of the household indoor environment is improved.
Fig. 2 is a schematic structural diagram of an intelligent home management system of the internet of things according to the embodiment of the present invention. The intelligent home management system of the Internet of things comprises an image shooting module, a smoke concentration detection module, a power supply line state detection module, an environment image preprocessing module, a fire alarm operation module and a power supply state switching module; wherein the content of the first and second substances,
the image shooting module is used for shooting the household indoor environment so as to obtain an environment image about the household indoor environment;
the smoke concentration detection module is used for detecting the smoke concentration of the indoor environment of the home to obtain the smoke concentration state information of the indoor environment of the home;
the power supply line state detection module is used for detecting a power supply line of the household indoor environment so as to obtain power supply line state information about the household indoor environment;
the environment image preprocessing module is used for preprocessing the environment image;
the fire alarm operation module is used for determining a potential fire position area corresponding to the household indoor environment according to the smoke concentration state information, extracting an area image corresponding to the potential fire position area from the preprocessed environment image, analyzing and processing the area image, determining the fire state information of the potential fire area, and performing corresponding Internet of things alarm operation according to the fire state information;
the power supply state switching module is used for determining actual power consumption state information of different electrical equipment in the household indoor environment according to the power supply line state information so as to judge whether the electrical equipment works normally or not, and accordingly, corresponding Internet of things power supply state switching operation is carried out according to the judgment result.
The beneficial effects of the above technical scheme are: the intelligent home management system of the Internet of things performs shooting, smoke concentration detection and power supply line detection on the indoor environment of the home, determining a potential fire position area corresponding to the household indoor environment according to the smoke concentration state information, determining fire state information of the potential fire area by combining the preprocessed environment image, performing corresponding Internet of things alarm operation according to the fire state information, meanwhile, whether the electric equipment works normally or not is judged according to the state information of the power supply line, and finally, corresponding power supply state switching operation of the Internet of things is carried out according to the judgment result, thus, the fire condition state and the working state of the power supply line can be effectively monitored and managed in different areas in the home environment, therefore, various potential safety hazards existing in the home environment can be found in time, and the safety of the home environment and the automation and intelligent degree of home management can be effectively improved.
Preferably, the image capturing module captures the home indoor environment, so as to obtain the environmental image about the home indoor environment specifically includes:
scanning and shooting the household indoor environment to obtain environment images of different areas of the household indoor environment
And the number of the first and second groups,
this smog concentration detection module carries out smog concentration detection to the house indoor environment to this smog concentration state information that obtains about this house indoor environment specifically includes:
carrying out distributed smoke concentration detection on the home indoor environment so as to determine smoke concentration values and smoke diffusion coverage range values of different areas of the home indoor environment;
and the number of the first and second groups,
the power supply line state detection module detects a power supply line for the household indoor environment, and accordingly, obtaining the power supply line state information about the household indoor environment specifically comprises the following steps:
carrying out current detection on a power supply line of the household indoor environment so as to obtain an actual current value of the power supply line correspondingly connected with electrical equipment contained in the household indoor environment;
and the number of the first and second groups,
the environmental image preprocessing module is used for preprocessing the environmental image and specifically comprises the following steps:
and sequentially carrying out image background noise reduction filtering processing and pixel graying conversion processing on the environment image so as to obtain a grayed environment image.
The beneficial effects of the above technical scheme are: by scanning and shooting the household indoor environment, detecting the distributed smoke concentration and detecting the current of the power supply line, the environment image, the smoke concentration value and the smoke diffusion coverage range value of different areas of the household environment and the actual current value of the power supply line correspondingly connected with all electrical equipment of the household indoor environment can be quickly and accurately obtained, and reliable data support is provided for the subsequent evaluation of the fire condition state and the electricity utilization safety state of the household indoor environment.
Preferably, the fire alarm operation module determines a potential fire location area corresponding to the home indoor environment according to the smoke concentration state information, extracts an area image corresponding to the potential fire location area from the preprocessed environment image, and analyzes and processes the area image to determine the fire state information of the potential fire area, so that the corresponding internet of things alarm operation according to the fire state information specifically includes:
comparing the smoke concentration value with a preset smoke concentration threshold value and comparing the smoke diffusion coverage range value with a preset smoke diffusion area threshold value, and if the smoke concentration value exceeds the preset smoke concentration threshold value and the smoke diffusion coverage range value exceeds the preset smoke diffusion area threshold value, determining a region corresponding to the home indoor environment as a potential fire position region;
extracting a region image related to the position information from the grayed environment image according to the position information of the potential fire position region in the household indoor environment, and acquiring image texture characteristic information corresponding to the region image;
and determining an image texture line distribution density value corresponding to the area image according to the image texture feature information, comparing the image texture line distribution density value with a preset texture line distribution density threshold value, determining that the potential fire area really generates the fire if the image texture line distribution density value is greater than or equal to the preset texture line distribution density threshold value, and transmitting the position information of the fire to a cloud end through an internet of things to perform corresponding alarm operation.
The beneficial effects of the above technical scheme are: because when a fire happens in a certain region of the house internal environment, the indoor temperature in the region can correspondingly rise, the image texture line distribution density value of the corresponding image in the region can be enlarged, the image texture line distribution density value of the corresponding image in the region is compared with the preset texture line distribution density threshold value, whether the fire happens in the potential fire area can be accurately determined, so that the position information of the fire can be conveniently transmitted to the cloud end through the Internet of things to perform corresponding alarm operation, and the fire safety of the house internal environment is improved.
Preferably, the power supply state switching module determines actual power consumption state information of different electrical equipment in the household indoor environment according to the power supply line state information, so as to determine whether the electrical equipment works normally, and thus performing corresponding internet of things power supply state switching operation according to the determination result specifically includes:
determining an actual power supply current change value in a power supply line correspondingly connected with the electrical equipment according to the actual current value, comparing the actual power supply current change value with a preset power supply current change threshold value, if the actual power supply current change value exceeds the preset power supply current change threshold value, determining that the electrical equipment is in an abnormal working state, otherwise, determining that the electrical equipment is in a normal working state;
and uploading the type information and the position information of the electrical equipment in the abnormal working state to a cloud terminal through the Internet of things and carrying out corresponding power-off switching operation.
The beneficial effects of the above technical scheme are: when the power supply line of the household indoor environment is abnormal, the power supply current of the electrical equipment can be changed to a larger amplitude value, so that the actual power supply current change value in the power supply line correspondingly connected with the electrical equipment is compared with the preset power supply current change threshold value, whether the working state of the electrical equipment is normal or not can be accurately determined, and the corresponding power-off switching operation can be carried out, so that the power utilization safety of the household indoor environment is improved.
From the content of the above embodiment, the intelligent home management method and system of the internet of things respectively obtain the environment image, the smoke concentration state information and the power supply line state information about the home indoor environment by shooting the home indoor environment, detecting the smoke concentration and detecting the power supply line, pre-process the environment image, determine the potential fire position area corresponding to the home indoor environment according to the smoke concentration state information, extract the area image corresponding to the potential fire position area from the pre-processed environment image, analyze and process the area image, determine the fire state information about the potential fire position area, perform corresponding alarm operation according to the fire state information, and determine the actual power consumption state information of different electrical equipment in the home indoor environment according to the power supply line state information, whether the electric equipment works normally or not is judged according to the judgment result, and therefore corresponding power supply state switching operation of the Internet of things is carried out according to the judgment result; therefore, the intelligent home management method and system of the Internet of things can carry out shooting, smoke concentration detection and power supply line detection on the indoor environment of the home, determining a potential fire position area corresponding to the household indoor environment according to the smoke concentration state information, determining fire state information of the potential fire area by combining the preprocessed environment image, performing corresponding Internet of things alarm operation according to the fire state information, meanwhile, whether the electric equipment works normally or not is judged according to the state information of the power supply line, and finally, corresponding power supply state switching operation of the Internet of things is carried out according to the judgment result, thus, the fire condition state and the working state of the power supply line can be effectively monitored and managed in different areas in the home environment, therefore, various potential safety hazards existing in the home environment can be found in time, and the safety of the home environment and the automation and intelligent degree of home management can be effectively improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. The intelligent home management method of the Internet of things is characterized by comprising the following steps:
step S1, shooting the indoor environment of the house, detecting the smoke concentration and the power supply line, so as to respectively obtain the environment image, the smoke concentration state information and the power supply line state information of the indoor environment of the house, and pre-process the environment image;
step S2, determining a potential fire position area corresponding to the home indoor environment according to the smoke concentration state information, extracting an area image corresponding to the potential fire position area from the preprocessed environment image, analyzing and processing the area image to determine fire state information of the potential fire area, and performing corresponding Internet of things alarm operation according to the fire state information;
step S3, according to the power supply line state information, determining actual power utilization state information of different electrical equipment in the household indoor environment, so as to judge whether the electrical equipment works normally, and accordingly, corresponding Internet of things power supply state switching operation is carried out according to the judgment result.
2. The intelligent home management method of the internet of things according to claim 1, wherein:
in step S1, shooting, detecting smoke concentration, and detecting a power supply line for a home indoor environment, so as to obtain an environment image, smoke concentration status information, and power supply line status information about the home indoor environment, respectively, and preprocessing the environment image specifically includes:
step S101, scanning and shooting the household indoor environment to obtain environment images of different areas of the household indoor environment, and sequentially carrying out image background noise reduction filtering processing and pixel graying conversion processing on the environment images to obtain grayed environment images;
step S102, carrying out distributed smoke concentration detection on the household indoor environment so as to determine smoke concentration values and smoke diffusion coverage range values of different areas of the household indoor environment;
step S103, current detection is carried out on the power supply line of the household indoor environment, and therefore the actual current value of the power supply line correspondingly connected with the electrical equipment contained in the household indoor environment is obtained.
3. The intelligent home management method of the internet of things according to claim 2, characterized in that:
in step S102, performing distributed smoke concentration detection on the home indoor environment, so as to determine smoke concentration values and smoke diffusion coverage values of different areas of the home indoor environment, specifically including:
the smoke concentration detection devices are distributed and installed in a home room, so that corresponding smoke concentration values in the home room are obtained, and by using the following formula (1), the smoke concentration values and the smoke diffusion coverage range values of different areas of the home indoor environment are obtained according to the smoke concentration values detected by the smoke concentration detection devices
Figure FDA0002856584460000021
In the above formula (1), PaExpressing the smoke concentration value, F, of the a-th area of the indoor environment of the homeaRepresents the smoke diffusion coverage range value, N, of the a-th area of the indoor environment of the homeiIndicating that the ith smoke concentration detection device detects a smoke concentration value, i belongs to a area of the indoor environment of the house, and Di∈aA determination value indicating whether an ith smoke concentration detection device is in an a-th area of the home indoor environment, and D when the ith smoke concentration detection device is in the a-th area of the home indoor environmenti∈a1, when the ith smoke concentration detection device is not in the a-th area of the household indoor environmenti∈aN denotes the total number of smoke concentration detection devices, SaThe area of the region, δ, representing the a-th region of the domestic indoor environment]A function value of the unit impulse function is 1 when a value in parentheses is equal to 0, and is 0 when a value in parentheses is not equal to 0, representing the unit impulse function.
4. The intelligent home management method of the internet of things according to claim 3, wherein:
in step S2, determining a potential fire location area corresponding to the home indoor environment according to the smoke concentration status information, extracting an area image corresponding to the potential fire location area from the preprocessed environment image, and performing analysis processing on the area image to determine fire status information of the potential fire location area, so that performing a corresponding alarm operation of the internet of things according to the fire status information specifically includes:
step S201, comparing the smoke concentration value with a preset smoke concentration threshold value and comparing the smoke diffusion coverage range value with a preset smoke diffusion area threshold value, and if the smoke concentration value exceeds the preset smoke concentration threshold value and the smoke diffusion coverage range value exceeds the preset smoke diffusion area threshold value, determining a region corresponding to the home indoor environment as a potential fire position region;
step S202, according to the position information of the potential fire position area in the home indoor environment, extracting an area image related to the position information from the gray environment image, and acquiring image texture feature information corresponding to the area image;
step S203, determining an image texture line distribution density value corresponding to the regional image according to the image texture feature information, comparing the image texture line distribution density value with a preset texture line distribution density threshold value, if the image texture line distribution density value is greater than or equal to the preset texture line distribution density threshold value, determining that the potential fire area really generates fire, and transmitting position information of the fire to a cloud end through an Internet of things to perform corresponding alarm operation.
5. The intelligent home management method of the internet of things according to claim 4, wherein:
in step S201, comparing the smoke concentration value with a preset smoke concentration threshold value and comparing the smoke diffusion coverage value with a preset smoke diffusion area threshold value, and if the smoke concentration value exceeds the preset smoke concentration threshold value and the smoke diffusion coverage value exceeds the preset smoke diffusion area threshold value, determining a region corresponding to the home indoor environment as a potential fire position region specifically includes:
obtaining the potential fire location area according to the smoke concentration value and the smoke diffusion coverage area value by using the following formula (2),
Aa＝δ[u(Pa-P)+u(Fa-F)-2] (2)
in the above formula (2), AaThe judgment value that the a-th area of the indoor environment of the home is the area of the potential fire, P represents a preset smoke concentration threshold, F represents a preset smoke diffusion area threshold, u () represents a step function, the function value of the step function is 1 when the value in the brackets is greater than or equal to 0, and the function value of the step function is 0 when the value in the brackets is less than 0;
if Aa0, the a-th area of the household indoor environment is not the area of the potential fire position;
if Aa1, representing that the a-th area of the household indoor environment is the area of the potential fire position; and the number of the first and second groups,
in step S203, determining, according to the image texture feature information, an image texture line distribution density value corresponding to the region image specifically includes:
extracting the area image related to the position information from the grayed environment image to obtain image texture characteristic information corresponding to the area image through the following formula (3), determining the image texture line distribution density value rho corresponding to the area image through the image texture characteristic information,
Figure FDA0002856584460000041
in the above formula (3), HxyExtracting the xth image matrix corresponding to the area image related to the position information from the representation gray environment imageThe gray value of the Y column pixel point of the row, X represents the number of each column pixel point in the image matrix corresponding to the regional image related to the position information extracted from the gray environment image, Y represents the number of each row pixel point in the image matrix corresponding to the regional image related to the position information extracted from the gray environment image, delta [ deg. ] [, ] ] [, in]A function value of the unit impulse function is 1 when a value in parentheses is equal to 0, and is 0 when a value in parentheses is not equal to 0, representing the unit impulse function.
6. The intelligent home management method of the internet of things according to claim 5, wherein:
in step S3, according to the power supply line status information, determining actual power consumption status information of different electrical equipment in the home indoor environment, so as to determine whether the electrical equipment is working normally, and performing a corresponding switching operation of the power supply status of the internet of things according to the determination result specifically includes:
step S301, determining an actual power supply current change value in a power supply line correspondingly connected with the electrical equipment according to the actual current value, comparing the actual power supply current change value with a preset power supply current change threshold value, determining that the electrical equipment is in an abnormal working state if the actual power supply current change value exceeds the preset power supply current change threshold value, and otherwise determining that the electrical equipment is in a normal working state;
and S302, uploading the type information and the position information of the electrical equipment in the abnormal working state to a cloud terminal through the Internet of things, and performing corresponding power-off switching operation.
7. The intelligent home management system of the Internet of things is characterized by comprising an image shooting module, a smoke concentration detection module, a power supply line state detection module, an environment image preprocessing module, a fire alarm operation module and a power supply state switching module; wherein the content of the first and second substances,
the image shooting module is used for shooting a home indoor environment so as to obtain an environment image about the home indoor environment;
the smoke concentration detection module is used for detecting the smoke concentration of the indoor environment of a home to obtain the smoke concentration state information of the indoor environment of the home;
the power supply line state detection module is used for detecting a power supply line of a household indoor environment so as to obtain power supply line state information about the household indoor environment;
the environment image preprocessing module is used for preprocessing the environment image;
the fire alarm operation module is used for determining a potential fire position area corresponding to the household indoor environment according to the smoke concentration state information, extracting an area image corresponding to the potential fire position area from the preprocessed environment image, analyzing and processing the area image to determine the fire state information of the potential fire area, and accordingly performing corresponding Internet of things alarm operation according to the fire state information;
the power supply state switching module is used for determining actual power consumption state information of different electrical equipment in the household indoor environment according to the power supply line state information so as to judge whether the electrical equipment works normally, and therefore corresponding Internet of things power supply state switching operation is carried out according to the judgment result.
8. The smart home management system of the internet of things of claim 7, wherein:
the image shooting module shoots a home indoor environment, so that obtaining an environmental image about the home indoor environment specifically includes:
scanning and shooting the household indoor environment to obtain environment images of different areas of the household indoor environment
And the number of the first and second groups,
the smoke concentration detection module detects smoke concentration of a home indoor environment, and accordingly obtaining smoke concentration state information about the home indoor environment specifically comprises:
carrying out distributed smoke concentration detection on the home indoor environment so as to determine smoke concentration values and smoke diffusion coverage range values of different areas of the home indoor environment;
and the number of the first and second groups,
the power supply line state detection module detects a power supply line for the household indoor environment, and accordingly obtaining the power supply line state information about the household indoor environment specifically comprises the following steps:
carrying out current detection on a power supply line of the household indoor environment so as to obtain an actual current value of the power supply line correspondingly connected with electrical equipment contained in the household indoor environment;
and the number of the first and second groups,
the preprocessing of the environment image by the environment image preprocessing module specifically comprises:
and sequentially carrying out image background noise reduction filtering processing and pixel graying conversion processing on the environment image so as to obtain a grayed environment image.
9. The smart home management system of the internet of things according to claim 8, wherein:
the fire alarm operation module determines a potential fire position area corresponding to the home indoor environment according to the smoke concentration state information, extracts an area image corresponding to the potential fire position area from the preprocessed environment image, analyzes and processes the area image to determine the fire state information of the potential fire area, and accordingly, the corresponding internet of things alarm operation according to the fire state information specifically comprises the following steps:
comparing the smoke concentration value with a preset smoke concentration threshold value and comparing the smoke diffusion coverage range value with a preset smoke diffusion area threshold value, and if the smoke concentration value exceeds the preset smoke concentration threshold value and the smoke diffusion coverage range value exceeds the preset smoke diffusion area threshold value, determining a region corresponding to the home indoor environment as a potential fire position region;
extracting a region image related to the position information from the grayed environment image according to the position information of the potential fire position region in the household indoor environment, and acquiring image texture feature information corresponding to the region image;
and determining an image texture line distribution density value corresponding to the area image according to the image texture feature information, comparing the image texture line distribution density value with a preset texture line distribution density threshold value, if the image texture line distribution density value is greater than or equal to the preset texture line distribution density threshold value, determining that the potential fire area really generates fire, and transmitting the position information of the fire to a cloud end through an internet of things so as to perform corresponding alarm operation.
10. The internet-of-things intelligent home management system according to claim 9, characterized in that:
the power supply state switching module determines actual power consumption state information of different electrical equipment in the household indoor environment according to the power supply line state information so as to judge whether the electrical equipment works normally, and accordingly, the corresponding Internet of things power supply state switching operation according to the judgment result specifically comprises the following steps:
determining an actual power supply current change value in a power supply line correspondingly connected with the electrical equipment according to the actual current value, comparing the actual power supply current change value with a preset power supply current change threshold value, determining that the electrical equipment is in an abnormal working state if the actual power supply current change value exceeds the preset power supply current change threshold value, and otherwise determining that the electrical equipment is in a normal working state;
and uploading the type information and the position information of the electrical equipment in the abnormal working state to a cloud terminal through the Internet of things and carrying out corresponding power-off switching operation.
CN202011573507.8A 2020-12-24 2020-12-24 Intelligent home management method and system of Internet of things Active CN112735078B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011573507.8A CN112735078B (en) 2020-12-24 2020-12-24 Intelligent home management method and system of Internet of things

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011573507.8A CN112735078B (en) 2020-12-24 2020-12-24 Intelligent home management method and system of Internet of things

Publications (2)

Publication Number Publication Date
CN112735078A true CN112735078A (en) 2021-04-30
CN112735078B CN112735078B (en) 2021-10-26

Family

ID=75605960

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011573507.8A Active CN112735078B (en) 2020-12-24 2020-12-24 Intelligent home management method and system of Internet of things

Country Status (1)

Country Link
CN (1) CN112735078B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115240356A (en) * 2022-07-21 2022-10-25 广东佳盈锋智能科技有限公司 Intelligent home system and power control panel

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103425959A (en) * 2012-05-24 2013-12-04 信帧电子技术（北京）有限公司 Flame video detection method for identifying fire hazard
CN204695050U (en) * 2015-06-01 2015-10-07 滨州学院 A kind of supervisory system of equipment running status
CN107728047A (en) * 2017-08-18 2018-02-23 珠海格力电器股份有限公司 Relay test method, apparatus, relay, storage medium and equipment
CN108320433A (en) * 2017-12-29 2018-07-24 广州地铁设计研究院有限公司 Active inspiration formula fire detector fire alarm confirms device and method
CN108985197A (en) * 2018-07-01 2018-12-11 北京工业大学 The automatic testing method of taximan's cigarette smoking based on more algorithm fusions
CN110021133A (en) * 2019-05-17 2019-07-16 重庆消防安全技术研究服务有限责任公司 Round-the-clock fire patrol prewarning monitoring system and fire image detection method
US20200348446A1 (en) * 2019-05-05 2020-11-05 Vasily Antonovich Tremsin Early-Warning Fire Detection System Based on a Multivariable Approach
CN112034766A (en) * 2020-09-15 2020-12-04 广州邦禾检测技术有限公司 Laboratory safety management system based on Internet of things

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103425959A (en) * 2012-05-24 2013-12-04 信帧电子技术（北京）有限公司 Flame video detection method for identifying fire hazard
CN204695050U (en) * 2015-06-01 2015-10-07 滨州学院 A kind of supervisory system of equipment running status
CN107728047A (en) * 2017-08-18 2018-02-23 珠海格力电器股份有限公司 Relay test method, apparatus, relay, storage medium and equipment
CN108320433A (en) * 2017-12-29 2018-07-24 广州地铁设计研究院有限公司 Active inspiration formula fire detector fire alarm confirms device and method
CN108985197A (en) * 2018-07-01 2018-12-11 北京工业大学 The automatic testing method of taximan's cigarette smoking based on more algorithm fusions
US20200348446A1 (en) * 2019-05-05 2020-11-05 Vasily Antonovich Tremsin Early-Warning Fire Detection System Based on a Multivariable Approach
CN110021133A (en) * 2019-05-17 2019-07-16 重庆消防安全技术研究服务有限责任公司 Round-the-clock fire patrol prewarning monitoring system and fire image detection method
CN112034766A (en) * 2020-09-15 2020-12-04 广州邦禾检测技术有限公司 Laboratory safety management system based on Internet of things

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115240356A (en) * 2022-07-21 2022-10-25 广东佳盈锋智能科技有限公司 Intelligent home system and power control panel

Also Published As

Publication number Publication date
CN112735078B (en) 2021-10-26

Similar Documents

Publication Publication Date Title
CN110996060A (en) Industrial automation intelligent linkage system and method
CN110738289A (en) Multi-dimensional linkage comprehensive studying and judging device for electric power operation standardization and using method thereof
CN112735078B (en) Intelligent home management method and system of Internet of things
KR102084783B1 (en) System for managing the operation of Photovoltaic Power Generation based on machine learning
CN115091491B (en) Power distribution room maintenance patrol robot and control method thereof
CN111341063A (en) Intelligent control system, method and device for safety early warning and monitoring of electric equipment and terminal equipment
CN115311585A (en) A discernment detecting system for electric wire netting overhead line foreign matter
CN112446536A (en) Ecological environment monitoring gridding system based on big data architecture and monitoring method thereof
CN102507816B (en) Method for detecting effectiveness of oil chromatogram online monitoring data
CN113537658A (en) Equipment risk assessment and maintenance system and method
CN116863629A (en) Alarm device, alarm method and electronic equipment based on multiple sensors
CN117134490A (en) Cloud platform-based intelligent surge protector monitoring system and method
CN117214598A (en) Cable monitoring system and method based on inspection image
CN114745615B (en) Industrial equipment operation data acquisition monitoring method and device
CN113959558B (en) Wind deflection and ground wire vibration monitoring method, system and device and storage medium
CN213021956U (en) Temperature detection system of power distribution cabinet
CN113296047A (en) Intelligent ammeter detection method
CN112161385A (en) Central air-conditioning centralized control system
CN115086372B (en) Industrial Internet data acquisition method
CN111741256B (en) Moving target detection method for power transmission line external damage prevention visualization device
CN116668859B (en) GIS equipment computer lab environment monitoring device
CN112632925B (en) Method and system for visualizing remote sensing data of Internet of things
CN117729314B (en) AI vision-based multi-region monitoring system and method
CN117493129B (en) Operating power monitoring system of computer control equipment
CN112394677B (en) Electromechanical device operation remote monitoring management system based on Internet of things

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant