CN111766790A - Security protection system based on intelligent house - Google Patents
Security protection system based on intelligent house Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G05B15/02—Systems controlled by a computer electric
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- 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] or computer integrated manufacturing [CIM]
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses a security system based on smart home, which comprises a personnel sensing module, a data acquisition module, an information collection module, a comprehensive processing module, an information analysis module, a controller, an analysis guidance module and a data interconnection module, wherein the personnel sensing module is used for sensing personnel; the working operation condition of the household equipment when a resident is at home is connected with the working operation condition of the household equipment when the resident is out, the reasonable security operation for one day and a period of time is carried out according to each signal through assignment weighting processing, formula correction analysis and comprehensive judgment operation, meanwhile, the additional operation condition of the household equipment when the resident with frequent dangerous conditions is out is subjected to interference-free safety analysis, and the real-time reasonable security operation is carried out according to each signal, so that the resident is out at home and the resident and the working conditions of the household equipment for one day and a period of time are matched, and the detailed combined analysis is carried out together, so that the comprehensiveness and the integrity of security supervision are improved.
Description
Technical Field
The invention relates to the technical field of security systems, in particular to a security system based on smart home.
Background
The security system of the intelligent home is a comprehensive system integrating the aspects of applying a sensing technology, a radio technology, a fuzzy control technology and the like; the intelligent home security control system can carry out level control on security points of the intelligent home, adopts logic judgment to confirm information, state and position, and generally has an alarm linkage function, an emergency help seeking function, a management display function, a linkage control function and the like.
In the file with the publication number of CN107450342A, only the indoor environment is monitored in real time, indoor environment data of the smart home are collected, a control instruction is sent to an execution module, corresponding security protection operation is carried out according to the control instruction, so that the indoor environment of the smart home is monitored, and the intelligent home security monitoring system has the characteristics of convenience in installation, low cost, humanization, high safety, effective security protection and the like, and is combined with the existing security protection system based on the smart home;
most of the existing methods directly judge the threshold value of the monitoring data of each household device and perform security operation according to the threshold value, cannot perform detailed combined analysis on the working conditions of each household device when a resident is at home and when the resident goes out and the working conditions of each household device in real time, one day and a period of time, and lack the comprehensiveness and integrity of security supervision;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to provide a security system based on intelligent home furnishing, which relates the working operation condition of each home furnishing device when a resident is at home with the working operation condition of each home furnishing device when the resident is out, obtains corresponding fault maintenance signal, device recording signal and safety operation signal through assignment weighting processing, formula correction analysis and comprehensive judgment operation, and accordingly makes a day and a period of reasonable security operation, and simultaneously carries out interference-free safety analysis on the extra operation condition of each home furnishing device when the resident frequently appears to obtain corresponding fault maintenance pipe signal and normal safety signal, and accordingly makes a real-time reasonable security operation, thereby matching the home furnishing and the resident out, and the real-time day and period of working condition of the home furnishing devices to carry out detailed combined analysis together, the comprehensiveness and integrity of security supervision are improved.
The technical problems to be solved by the invention are as follows:
how to solve the problem that most of the prior art directly carry out threshold value discrimination on the monitoring data of each household device and make security operation according to the threshold value discrimination, cannot carry out detailed combined analysis on the working conditions of each household device of a resident in a house and a resident out of the house and the working conditions of each household device of a real-time day and a period of time, and is lack of comprehensiveness and integrity of security supervision.
The purpose of the invention can be realized by the following technical scheme:
a security system based on smart home comprises a personnel sensing module, a data acquisition module, an information collection module, a comprehensive processing module, an information analysis module, a controller, an analysis guidance module and a data interconnection module;
the personnel perception module is used for perceiving personnel in a house in real time and can be obtained according to a sensor, a monitor and the like, when people exist in the house, a personnel existence signal is generated, when no people exist in the house, a personnel loss signal is generated, and the personnel existence signal and the personnel loss signal are respectively and continuously transmitted to the data acquisition module and the information collection module;
the data acquisition module acquires the working operation data of each household device in the house in real time according to the continuously received personnel existence signal and transmits the working operation data to the comprehensive processing module;
the information collection module collects the additional operation information of each household device in the house in real time and the additional work information of each household device in the house in real time according to the continuously received personnel loss signals, and respectively transmits the additional operation information and the additional work information to the comprehensive processing module and the information analysis module;
after receiving the real-time working operation data of each piece of household equipment in the house, the comprehensive processing module analyzes the personnel existence working condition of each piece of household equipment to obtain the personnel existence operation magnitude Ri of each piece of household equipment in the house in a first time period, and transmits the personnel existence operation magnitude Ri to the analysis guidance module through the controller;
after receiving the additional running information of each piece of household equipment in the real-time house, the comprehensive processing module analyzes the personnel loss working condition of each piece of household equipment to obtain the personnel loss running magnitude Pi of each piece of household equipment in the house in the second time period, and transmits the personnel loss running magnitude Pi to the analysis guidance module through the controller;
after receiving the additional working information of each piece of household equipment in the real-time house, the information analysis module carries out personnel loss monitoring analysis operation on the received additional working information to obtain a real-time fault maintenance pipe signal and a normal safety signal, and transmits the real-time fault maintenance pipe signal and the normal safety signal to the data interconnection module through the controller;
after receiving a real-time fault maintenance management signal, the data interconnection module sends the home equipment corresponding to the data interconnection module to a mobile phone of a house worker through a color mark, and further makes a targeted measure on the real-time working condition of each home equipment; after the data interconnection module receives the real-time normal safety signal, no feedback processing is performed, and the data interconnection module is communicated with the mobile phone of house personnel in a wireless transmission mode, a Bluetooth mode and the like;
the analysis guidance module is used for respectively endowing personnel loss influence coefficients k and h, wherein k is smaller than h and k + h is 3.5591 according to the existence of an operation magnitude Ri of personnel of each household device in the house in the first time period and the loss of the operation magnitude Pi of personnel of each household device in the house in the second time period, obtaining a comprehensive safety variable grade Gi of each household device in the house in one day according to a formula Gi (Ri k + Pi + h, i is 1.. n), and respectively generating a fault maintenance signal, a device recording signal and a safety operation signal for the household device corresponding to the analysis guidance module when the comprehensive safety variable grade Gi is larger than the maximum value of a preset range g, is located in the preset range g and is smaller than the minimum value of the preset range g, and transmitting the fault maintenance signal, the device recording signal and the safety operation signal to the data interconnection module;
after receiving the real-time fault maintenance signal, the data interconnection module sends the home equipment corresponding to the data interconnection module to the mobile phone of the house personnel through the digital mark, and then the data interconnection module takes a targeted measure on the working condition of each home equipment in one day; after receiving the real-time equipment recording signal, the data interconnection module records the corresponding household equipment, and when the total recording times of the household equipment exceed the threshold range, the data interconnection module sends the household equipment to the mobile phone of the house personnel so as to take targeted measures on the working condition of each household equipment within a period of time; and after the data interconnection module receives the real-time safe operation signal, no feedback processing is performed.
Furthermore, the work operation data of the household equipment is composed of the total electricity consumption of the household equipment, the total operation time of the household equipment and the working temperature variation of the household equipment, and all the data can be obtained according to the modes of a sensor, a timer, a monitor and the like.
Further, the specific steps of the personnel existing working condition analyzing operation are as follows:
the method comprises the following steps: acquiring work operation data of each piece of household equipment in a house in a first time period, respectively marking the total power consumption of each piece of household equipment corresponding to the work operation data, the total operation time of each piece of household equipment and the working temperature variation of each piece of household equipment as Qi, Wi and Ei, wherein i is 1.. n, the Qi, the Wi and the Ei are in one-to-one correspondence with each other, the first time period represents the time of a person in one day at home, the variable i corresponds to each piece of household equipment, and the variable n represents a positive integer greater than 1;
step two: when the total power consumption Qi of each household device is larger than the maximum value of the preset range q, is positioned in the preset range q and is smaller than the minimum value of the preset range q, respectively giving calibration positive values M1, M2 and M3 to the total power consumption Qi of each household device, wherein M1 is larger than M2 and is larger than M3; when the total running time Wi of each household device is greater than or equal to a preset value w and smaller than the preset value w, respectively giving the total running time Wi to calibration positive values N1 and N2, wherein N1 is greater than N2; when the working temperature variation Ei of each household device is greater than or equal to a preset value e and smaller than the preset value e, respectively giving calibration positive values B1 and B2, wherein B1 is greater than B2;
step three: the method comprises the steps of firstly, respectively giving weight coefficients z, x and c to total electricity consumption Qi of each household device, total operation time Wi of each household device and working temperature variation Ei of each household device, wherein x is larger than z and is larger than c, and z + x + c is 3.5912, and then obtaining the personnel existence operation magnitude Ri of each household device in a house in a first time period according to a formula Ri Qi + z + Wi x + Ei c, i is 1.
Further, the additional operation information of the household equipment consists of a temperature level variable of the household equipment, the total operation time of the household equipment and an electric level variable of the household equipment; the temperature level variable of the household equipment represents a difference value between the working temperature variable of the household equipment and the environment temperature variable, and the difference value is divided by the environment temperature variable; the level variable of the household equipment represents the average difference between the output voltage and the rated voltage of the household equipment; the additional work information of the household equipment consists of the output current of the household equipment, the working temperature of the household equipment and the local discharge capacity of the household equipment, and all the data can be obtained according to the modes of a sensor, a monitor, a timer, a network monitoring platform and the like.
Further, the specific steps of the personnel loss condition analysis operation are as follows:
the method comprises the following steps: acquiring additional operation information of each household device in the house in a second time period, and respectively calibrating a temperature variable of each household device, a total operation time of each household device and an electrical level variable of each household device corresponding to the additional operation information as Ti, Yi and Ui, wherein i is 1.. n, the Ti, Yi and Ui are in one-to-one correspondence, the second time period represents the time of outgoing personnel in one day, the first time period corresponds to the second time period, and the sum of the first time period and the second time period represents the time of one day;
step two: according to the formula
And obtaining the personnel loss operation magnitude Pi of each household device in the house in the second time period, wherein t, y and u are correction factors, t is greater than y, and t + y + u is 4.6915.
Further, the specific steps of the personnel loss monitoring and analyzing operation are as follows:
the method comprises the following steps: acquiring additional work information of each household device in a house in real time, and respectively marking the output current of each household device, the working temperature of each household device and the local discharge capacity of each household device corresponding to the extra work information as Ai, Si and Di, wherein i is 1.
Step two: first according to the formula
Obtaining real-time personnel loss safety magnitude Fi of each household device in the house, wherein a, s and d are safety factors, s is larger than a and larger than d, and a + s + d is 5.6921; and comparing the real-time personnel loss safety magnitude Fi of each household device in the house with a preset value f, when the personnel loss safety magnitude Fi is larger than or equal to the preset value f, generating a fault maintenance pipe signal for the household device corresponding to the Fi, and when the personnel loss safety magnitude Fi is smaller than the preset value f, generating a normal safety signal for the household device corresponding to the Fi.
The invention has the beneficial effects that:
the method comprises the steps of respectively generating continuous personnel existence signals and personnel loss signals according to the existence of personnel in a house, acquiring the working operation data of each household device in the house in real time through the personnel existence signals, and analyzing the working condition of the household devices, namely calibrating, comparing, assigning values and weighting the total power consumption, the total operation time and the working temperature variation corresponding to the working operation data of each household device in the house in a first time period to obtain the personnel existence operation magnitude Ri of each household device in the house in the first time period;
acquiring additional operation information of each household device in the house in real time through a personnel loss signal, and performing personnel loss working condition analysis operation on the additional operation information, namely performing differential data calibration and correction formula analysis on a temperature level variable, a total operation time and an electric level variable corresponding to the additional operation information of each household device in the house in a second time period to obtain a personnel loss operation magnitude Pi of each household device in the house in the second time period;
acquiring extra working information of each household device in the house in real time, and carrying out personnel loss monitoring analysis operation on the extra working information, namely carrying out data calibration, interference-removing safety analysis and level comparison processing on output current, working temperature and local discharge amount corresponding to the extra working information of each household device in the house to obtain real-time fault maintenance pipe signals and normal safety signals;
according to the fault maintenance pipe signal received in real time, the home equipment corresponding to the fault maintenance pipe signal is sent to the mobile phone of the house personnel through the color mark, and then the real-time working condition of each home equipment is taken as a targeted measure;
performing comprehensive judgment operation on the operation magnitude Ri of personnel of each household device in the house in the first time period and the operation magnitude Pi lost by the personnel of each household device in the house in the second time period to obtain the comprehensive safety variable grade Gi of each household device in the house in one day, and performing grade comparison processing on the comprehensive safety variable grade Gi to obtain a fault maintenance signal, a device recording signal and a safety operation signal;
according to the fault maintenance signal received in real time, the home equipment corresponding to the fault maintenance signal is sent to the mobile phone of the house personnel through the digital mark, and then targeted measures are taken for the working condition of each home equipment in one day; recording the corresponding household equipment according to the equipment recording signals received in real time, and when the total recording times of the household equipment exceed the threshold range, sending the household equipment to the mobile phone of the house personnel so as to take targeted measures on the working condition of each household equipment within a period of time;
then the working operation condition of each household device when the resident is at home is connected with the working operation condition of each household device when the resident is out, corresponding fault maintenance signals, device recording signals and safe operation signals are obtained through assignment weighting processing, formula correction analysis and comprehensive judgment operation, and reasonable security operation for a period of time in one day is performed according to the corresponding fault maintenance signals, meanwhile, the additional operation condition of each household device when the resident with frequent dangerous conditions goes out is subjected to interference-free safety analysis to obtain corresponding fault maintenance pipe signals and normal safety signals, and real-time reasonable security operation is performed according to the signals, and then the working conditions of household equipment of the household and the household are matched in real time, one day and a period of time, so that the detailed combined analysis is carried out together, and the comprehensiveness and integrity of security supervision are improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, a security system based on smart home comprises a personnel sensing module, a data acquisition module, an information collection module, a comprehensive processing module, an information analysis module, a controller, an analysis guidance module and a data interconnection module;
the personnel perception module is used for perceiving personnel in the house in real time, generating a personnel existence signal when the personnel exists in the house, generating a personnel loss signal when no personnel exists in the house, and respectively and continuously transmitting the personnel existence signal and the personnel loss signal to the data acquisition module and the information collection module;
the data acquisition module acquires the working operation data of each household device in the house in real time according to the continuously received personnel existence signal, the working operation data of the household devices consists of the total power consumption of the household devices, the total operation time of the household devices and the working temperature variation of the household devices, and the working operation data are transmitted to the comprehensive processing module;
the information collection module collects additional operation information of each household device in the house in real time according to the continuously received personnel loss signals, wherein the additional operation information of the household devices consists of temperature level variables of the household devices, total operation time of the household devices and electric level variables of the household devices; the temperature level variable of the household equipment represents a difference value between the working temperature variable of the household equipment and the environment temperature variable, and the difference value is divided by the environment temperature variable; the level variable of the household equipment represents the average difference between the output voltage and the rated voltage of the household equipment; acquiring additional working information of each household device in the house in real time, wherein the additional working information of the household devices consists of output current of the household devices, working temperature of the household devices and local discharge capacity of the household devices, and is respectively transmitted to the comprehensive processing module and the information analysis module;
after receiving the real-time working operation data of each household device in the house, the comprehensive processing module analyzes the working condition of the household device, and the method comprises the following specific steps:
the method comprises the following steps: acquiring work operation data of each piece of household equipment in a house in a first time period, respectively marking the total power consumption of each piece of household equipment corresponding to the work operation data, the total operation time of each piece of household equipment and the working temperature variation of each piece of household equipment as Qi, Wi and Ei, wherein i is 1.. n, the Qi, the Wi and the Ei are in one-to-one correspondence with each other, the first time period represents the time of a person in one day at home, the variable i corresponds to each piece of household equipment, and the variable n represents a positive integer greater than 1;
step two: when the total power consumption Qi of each household device is larger than the maximum value of the preset range q, is positioned in the preset range q and is smaller than the minimum value of the preset range q, respectively giving calibration positive values M1, M2 and M3 to the total power consumption Qi of each household device, wherein M1 is larger than M2 and is larger than M3; when the total running time Wi of each household device is greater than or equal to a preset value w and smaller than the preset value w, respectively giving the total running time Wi to calibration positive values N1 and N2, wherein N1 is greater than N2; when the working temperature variation Ei of each household device is greater than or equal to a preset value e and smaller than the preset value e, respectively giving calibration positive values B1 and B2, wherein B1 is greater than B2;
step three: firstly, respectively endowing the total power consumption Qi of each household device, the total running time Wi of each household device and the working temperature variation Ei of each household device with weight coefficients z, x and c, wherein x is greater than z and is greater than c, and z + x + c is 3.5912, and then obtaining the personnel existence operation magnitude Ri of each household device in the house in the first time period according to a formula Ri Qi + z + Wi x + Ei c, i is 1.
Obtaining the personnel existence operation magnitude Ri of each household device in the house in the first time period, and transmitting the personnel existence operation magnitude Ri to the analysis guidance module through the controller;
after receiving the additional running information of each household device in the real-time house, the comprehensive processing module analyzes and operates the personnel loss working condition, and the method comprises the following specific steps:
the method comprises the following steps: acquiring additional operation information of each household device in the house in a second time period, and respectively calibrating a temperature variable of each household device, a total operation time of each household device and an electrical level variable of each household device corresponding to the additional operation information as Ti, Yi and Ui, wherein i is 1.. n, the Ti, Yi and Ui are in one-to-one correspondence, the second time period represents the time of outgoing personnel in one day, the first time period corresponds to the second time period, and the sum of the first time period and the second time period represents the time of one day;
step two: according to the formula
Obtaining the personnel loss operation magnitude Pi of each household device in the house in the second time period, wherein t, y and u are correction factors, t is greater than y, and t + y + u is 4.6915;
obtaining the personnel loss operation magnitude Pi of each household device in the house in the second time period, and transmitting the personnel loss operation magnitude Pi to the analysis guidance module through the controller;
the information analysis module receives the extra work information of each household device in the real-time house, and then carries out personnel loss monitoring analysis operation on the received extra work information, and the specific steps are as follows:
the method comprises the following steps: acquiring additional work information of each household device in a house in real time, and respectively marking the output current of each household device, the working temperature of each household device and the local discharge capacity of each household device corresponding to the extra work information as Ai, Si and Di, wherein i is 1.
Step two: first according to the formula
Obtaining real-time personnel loss safety magnitude Fi of each household device in the house, wherein a, s and d are safety factors, s is larger than a and larger than d, and a + s + d is 5.6921; then will be in real timeComparing the personnel loss safety magnitude Fi of each household device in the house with a preset value f, when the personnel loss safety magnitude Fi is larger than or equal to the preset value f, generating a fault maintenance pipe signal for the household device corresponding to the Fi, and when the personnel loss safety magnitude Fi is smaller than the preset value f, generating a normal safety signal for the household device corresponding to the Fi;
obtaining real-time fault maintenance pipe signals and normal safety signals, and transmitting the real-time fault maintenance pipe signals and the normal safety signals to the data interconnection module through the controller;
after receiving the real-time fault maintenance pipe signal, the data interconnection module sends the home equipment corresponding to the fault maintenance pipe signal to the mobile phone of the house personnel through the color mark, and then the data interconnection module takes targeted measures on the real-time working condition of each home equipment; after the data interconnection module receives the real-time normal safety signal, no feedback processing is performed, and the data interconnection module is communicated with the mobile phone of house personnel in a wireless transmission mode, a Bluetooth mode and the like;
the analysis guidance module is used for respectively endowing personnel loss influence coefficients k and h to the personnel loss influence coefficients k and h, wherein k is smaller than h and k + h is 3.5591 according to the personnel presence operation magnitude Ri of each household device in the house in the first time period and the personnel loss operation magnitude Pi of each household device in the house in the second time period, and obtaining the comprehensive safety variable grade Gi of each household device in the house in one day according to a formula Gi which is Ri k + Pi h, i is 1.. n;
after receiving the real-time fault maintenance signal, the data interconnection module sends the home equipment corresponding to the data interconnection module to the mobile phone of the house personnel through the digital mark, and then the data interconnection module takes a targeted measure on the working condition of each home equipment in one day; after receiving the real-time equipment recording signal, the data interconnection module records the corresponding household equipment, and when the total recording times of the household equipment exceed the threshold range, the data interconnection module sends the household equipment to the mobile phone of the house personnel so as to take targeted measures on the working condition of each household equipment within a period of time; after the data interconnection module receives the real-time safe operation signal, no feedback processing is carried out;
then the working operation condition of each household device when the resident is at home is connected with the working operation condition of each household device when the resident is out, corresponding fault maintenance signals, device recording signals and safe operation signals are obtained through assignment weighting processing, formula correction analysis and comprehensive judgment operation, and reasonable security operation for a period of time in one day is performed according to the corresponding fault maintenance signals, meanwhile, the additional operation condition of each household device when the resident with frequent dangerous conditions goes out is subjected to interference-free safety analysis to obtain corresponding fault maintenance pipe signals and normal safety signals, and real-time reasonable security operation is performed according to the signals, and then the working conditions of household equipment of the household and the household are matched in real time, one day and a period of time, so that the detailed combined analysis is carried out together, and the comprehensiveness and integrity of security supervision are improved.
A security system based on intelligent home is characterized in that in the working process, whether personnel exist in a house or not is sensed in real time through a personnel sensing module, a personnel existence signal and a personnel loss signal are respectively generated according to the personnel existence signal and the personnel loss signal, and the personnel existence signal and the personnel loss signal are respectively and continuously transmitted to a data acquisition module and an information collection module;
the data acquisition module acquires the working operation data of each household device in the house in real time according to the continuously received personnel existence signal, the working operation data of the household devices consists of the total power consumption of the household devices, the total operation time of the household devices and the working temperature variation of the household devices, and the working operation data are transmitted to the comprehensive processing module;
the information collection module collects additional operation information of each household device in the house in real time according to the continuously received personnel loss signals, wherein the additional operation information of the household devices consists of temperature level variables of the household devices, total operation time of the household devices and electric level variables of the household devices; the temperature level variable of the household equipment represents a difference value between the working temperature variable of the household equipment and the environment temperature variable, and the difference value is divided by the environment temperature variable; the level variable of the household equipment represents the average difference between the output voltage and the rated voltage of the household equipment; acquiring additional working information of each household device in the house in real time, wherein the additional working information of the household devices consists of output current of the household devices, working temperature of the household devices and local discharge capacity of the household devices, and is respectively transmitted to the comprehensive processing module and the information analysis module;
after receiving the real-time work operation data of each household device in the house, the comprehensive processing module performs personnel existence working condition analysis operation on the real-time work operation data, namely, the total power consumption, the total operation time and the work temperature variation corresponding to the work operation data of each household device in the house in the first time period are subjected to data calibration, comparative assignment and weight processing to obtain personnel existence operation magnitude Ri of each household device in the house in the first time period, and the personnel existence operation magnitude Ri is transmitted to the analysis guidance module through the controller;
after receiving the real-time additional operation information of each household device in the house, the comprehensive processing module performs personnel loss working condition analysis operation on the real-time additional operation information, namely, the temperature level variable, the total operation time and the electric level variable corresponding to the additional operation information of each household device in the house in the second time period are subjected to dissimilarity data calibration and correction formula analysis to obtain personnel loss operation magnitude Pi of each household device in the house in the second time period, and the personnel loss operation magnitude Pi is transmitted to the analysis guidance module through the controller;
after receiving the real-time additional work information of each household device in the house, the information analysis module carries out personnel loss monitoring analysis operation on the received information, namely, the output current, the working temperature and the local discharge amount corresponding to the additional work information of each household device in the house are subjected to data calibration, interference-removing safety analysis and level comparison processing to obtain real-time fault maintenance pipe signals and normal safety signals, and the real-time fault maintenance pipe signals and the normal safety signals are transmitted to the data interconnection module through the controller;
after receiving the real-time fault maintenance pipe signal, the data interconnection module sends the home equipment corresponding to the fault maintenance pipe signal to the mobile phone of the house personnel through the color mark, and then the data interconnection module takes targeted measures on the real-time working condition of each home equipment; after the data interconnection module receives the real-time normal safety signal, no feedback processing is performed, and the data interconnection module is communicated with the mobile phone of house personnel in a wireless transmission mode, a Bluetooth mode and the like;
the analysis guidance module obtains the comprehensive safety variable levels Gi of each household device in the house in one day after comprehensive discrimination operation according to the operation magnitude Ri of each household device in the house in the first time period and the operation magnitude Pi lost by each household device in the house in the second time period, then carries out level comparison processing on the comprehensive safety variable levels Gi to obtain a fault maintenance signal, a device recording signal and a safety operation signal, and transmits the fault maintenance signal, the device recording signal and the safety operation signal to the data interconnection module;
after receiving the real-time fault maintenance signal, the data interconnection module sends the home equipment corresponding to the data interconnection module to the mobile phone of the house personnel through the digital mark, and then the data interconnection module takes a targeted measure on the working condition of each home equipment in one day; after receiving the real-time equipment recording signal, the data interconnection module records the corresponding household equipment, and when the total recording times of the household equipment exceed the threshold range, the data interconnection module sends the household equipment to the mobile phone of the house personnel so as to take targeted measures on the working condition of each household equipment within a period of time; after the data interconnection module receives the real-time safe operation signal, no feedback processing is carried out;
then the working operation condition of each household device when the resident is at home is connected with the working operation condition of each household device when the resident is out, corresponding fault maintenance signals, device recording signals and safe operation signals are obtained through assignment weighting processing, formula correction analysis and comprehensive judgment operation, and reasonable security operation for a period of time in one day is performed according to the corresponding fault maintenance signals, meanwhile, the additional operation condition of each household device when the resident with frequent dangerous conditions goes out is subjected to interference-free safety analysis to obtain corresponding fault maintenance pipe signals and normal safety signals, and real-time reasonable security operation is performed according to the signals, and then the working conditions of household equipment of the household and the household are matched in real time, one day and a period of time, so that the detailed combined analysis is carried out together, and the comprehensiveness and integrity of security supervision are improved.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. A security system based on smart home is characterized by comprising a personnel sensing module, a data acquisition module, an information collection module, a comprehensive processing module, an information analysis module, a controller, an analysis guidance module and a data interconnection module;
the personnel perception module is used for perceiving personnel in the house in real time, when people exist in the house, a personnel existence signal is generated, when no people exist in the house, a personnel loss signal is generated, and the personnel existence signal and the personnel loss signal are respectively and continuously transmitted to the data acquisition module and the information collection module;
the data acquisition module acquires the working operation data of each household device in the house in real time according to the continuously received personnel existence signal and transmits the working operation data to the comprehensive processing module;
the information collection module collects the additional operation information of each household device in the house in real time and the additional work information of each household device in the house in real time according to the continuously received personnel loss signals, and respectively transmits the additional operation information and the additional work information to the comprehensive processing module and the information analysis module;
after receiving the real-time working operation data of each piece of household equipment in the house, the comprehensive processing module analyzes the personnel existence working condition of each piece of household equipment to obtain the personnel existence operation magnitude Ri of each piece of household equipment in the house in a first time period, and transmits the personnel existence operation magnitude Ri to the analysis guidance module through the controller;
after receiving the additional running information of each piece of household equipment in the real-time house, the comprehensive processing module analyzes the personnel loss working condition of each piece of household equipment to obtain the personnel loss running magnitude Pi of each piece of household equipment in the house in the second time period, and transmits the personnel loss running magnitude Pi to the analysis guidance module through the controller;
after receiving the additional working information of each piece of household equipment in the real-time house, the information analysis module carries out personnel loss monitoring analysis operation on the received additional working information to obtain a real-time fault maintenance pipe signal and a normal safety signal, and transmits the real-time fault maintenance pipe signal and the normal safety signal to the data interconnection module through the controller;
after receiving a real-time fault maintenance management signal, the data interconnection module sends home equipment corresponding to the data interconnection module to a mobile phone of a house worker through a color mark; after the data interconnection module receives the real-time normal safety signal, no feedback processing is performed;
the analysis guidance module is used for respectively endowing personnel loss influence coefficients k and h, wherein k is smaller than h and k + h is 3.5591 according to the existence of an operation magnitude Ri of personnel of each household device in the house in the first time period and the loss of the operation magnitude Pi of personnel of each household device in the house in the second time period, obtaining a comprehensive safety variable grade Gi of each household device in the house in one day according to a formula Gi (Ri k + Pi + h, i is 1.. n), and respectively generating a fault maintenance signal, a device recording signal and a safety operation signal for the household device corresponding to the analysis guidance module when the comprehensive safety variable grade Gi is larger than the maximum value of a preset range g, is located in the preset range g and is smaller than the minimum value of the preset range g, and transmitting the fault maintenance signal, the device recording signal and the safety operation signal to the data interconnection module;
after receiving a real-time fault maintenance signal, the data interconnection module sends home equipment corresponding to the data interconnection module to a mobile phone of a house worker through a digital mark; after receiving the real-time equipment recording signal, the data interconnection module records the corresponding household equipment, and when the total recording times of the household equipment exceed the threshold range, the data interconnection module sends the household equipment to the mobile phone of the house personnel; and after the data interconnection module receives the real-time safe operation signal, no feedback processing is performed.
2. The security system based on smart home as claimed in claim 1, wherein the working operation data of the home devices comprises total power consumption of the home devices, total operation duration of the home devices, and working temperature variation of the home devices.
3. The security system based on the smart home as claimed in claim 1, wherein the specific steps of the personnel existence condition analysis operation are as follows:
the method comprises the following steps: acquiring work operation data of each piece of home equipment in a house in a first time period, respectively marking the total power consumption of each piece of home equipment corresponding to the work operation data, the total running time of each piece of home equipment and the working temperature variation of each piece of home equipment as Qi, Wi and Ei, wherein i is 1.
Step two: when the total power consumption Qi of each household device is larger than the maximum value of the preset range q, is positioned in the preset range q and is smaller than the minimum value of the preset range q, respectively giving calibration positive values M1, M2 and M3 to the total power consumption Qi of each household device, wherein M1 is larger than M2 and is larger than M3; when the total running time Wi of each household device is greater than or equal to a preset value w and smaller than the preset value w, respectively giving the total running time Wi to calibration positive values N1 and N2, wherein N1 is greater than N2; when the working temperature variation Ei of each household device is greater than or equal to a preset value e and smaller than the preset value e, respectively giving calibration positive values B1 and B2, wherein B1 is greater than B2;
step three: the method comprises the steps of firstly, respectively giving weight coefficients z, x and c to total electricity consumption Qi of each household device, total operation time Wi of each household device and working temperature variation Ei of each household device, wherein x is larger than z and is larger than c, and z + x + c is 3.5912, and then obtaining the personnel existence operation magnitude Ri of each household device in a house in a first time period according to a formula Ri Qi + z + Wi x + Ei c, i is 1.
4. The security system based on smart home as claimed in claim 1, wherein the additional operation information of the home devices is composed of temperature level variables of the home devices, total operation time of the home devices, and electrical level variables of the home devices; the temperature level variable of the household equipment represents a difference value between the working temperature variable of the household equipment and the environment temperature variable, and the difference value is divided by the environment temperature variable; the level variable of the household equipment represents the average difference between the output voltage and the rated voltage of the household equipment; the additional work information of the household equipment consists of the output current of the household equipment, the working temperature of the household equipment and the local discharge capacity of the household equipment.
5. The security system based on smart home as claimed in claim 1, wherein the specific steps of the personnel loss condition analysis operation are as follows:
the method comprises the following steps: acquiring additional operation information of each household device in the house in a second time period, and respectively calibrating a temperature variable of each household device, a total operation time of each household device and an electrical level variable of each household device corresponding to the additional operation information as Ti, Yi and Ui, wherein i is 1.. n, and Ti, Yi and Ui are in one-to-one correspondence, and the second time period represents the time of outgoing of people in one day;
step two: according to the formula
And obtaining the personnel loss operation magnitude Pi of each household device in the house in the second time period, wherein t, y and u are correction factors, t is greater than y, and t + y + u is 4.6915.
6. The security system based on smart home as claimed in claim 1, wherein the specific steps of the personnel loss monitoring and analyzing operation are as follows:
the method comprises the following steps: acquiring additional work information of each household device in a house in real time, and respectively marking the output current of each household device, the working temperature of each household device and the local discharge capacity of each household device corresponding to the extra work information as Ai, Si and Di, wherein i is 1.
Step two: first according to the formula
Obtaining real-time personnel loss safety magnitude Fi of each household device in the house, wherein a, s and d are safety factors, s is larger than a and larger than d, and a + s + d is 5.6921; and comparing the real-time personnel loss safety magnitude Fi of each household device in the house with a preset value f, when the personnel loss safety magnitude Fi is larger than or equal to the preset value f, generating a fault maintenance pipe signal for the household device corresponding to the Fi, and when the personnel loss safety magnitude Fi is smaller than the preset value f, generating a normal safety signal for the household device corresponding to the Fi.
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|---|---|---|---|
| CN202010588616.0A CN111766790A (en) | 2020-06-24 | 2020-06-24 | Security protection system based on intelligent house |
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| CN202010588616.0A CN111766790A (en) | 2020-06-24 | 2020-06-24 | Security protection system based on intelligent house |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115309065A (en) * | 2022-08-12 | 2022-11-08 | 深圳市完物物联科技有限公司 | Intelligent home safety control system and method based on Internet of things |
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2020
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115309065A (en) * | 2022-08-12 | 2022-11-08 | 深圳市完物物联科技有限公司 | Intelligent home safety control system and method based on Internet of things |
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