CN118038620A - Intelligent fire safety monitoring system and method - Google Patents
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Abstract
The invention discloses an intelligent fire safety monitoring system and a method thereof, which relate to the technical field of fire protection, and the intelligent fire safety monitoring system comprises a data acquisition unit, a data processing unit, a data integration unit, a data analysis unit and an execution unit, and through the cooperative work of the units, the real-time monitoring, the data processing, the comprehensive analysis and the emergency response of an indoor environment are realized.
Description
Technical Field
The invention relates to the technical field of fire protection, in particular to an intelligent fire protection safety monitoring system and method.
Background
An intelligent fire safety monitoring system is a system that utilizes advanced technology and equipment to monitor, prevent and treat fires and other safety risks. These systems typically incorporate various sensors, monitoring devices, data analysis algorithms, and communication techniques to improve the efficiency and accuracy of fire detection, early warning, and handling, and are intended to provide a faster, more reliable response to protect people's lives and properties.
However, most of the traditional household intelligent fire-fighting safety monitoring systems are static detection systems, data detection is carried out on users by means of a monitoring sampling mode and an alarm mode preset by manufacturers, when abnormal data are detected, an alarm is triggered, the traditional monitoring-alarm fire-fighting monitoring systems have strong detection sensitivity but are limited by static data, in daily life, due to the fact that actual housing areas of users are different, season temperature differences and humidity differences are different, and ventilation rates of houses are different in different seasons, the monitoring systems depending on the static data trigger false alarms easily, and due to uncontrollability of alarm sounds, daily life of the residents can be disturbed to a certain extent.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a theme, and solves the problems that the monitoring system depending on the static data easily triggers false alarm and the daily life of a resident is disturbed to a certain extent due to uncontrollable alarm sound because of different actual housing areas of the user, different seasonal temperature differences and humidity differences and different ventilation rates of the house in different seasons in daily life.
In order to achieve the above purpose, the invention is realized by the following technical scheme: an intelligent fire safety monitoring system, which is characterized in that: the system comprises a data acquisition unit, a data processing unit, a data integration unit, a data analysis unit and an execution unit;
the data acquisition unit is used for detecting the indoor environment so as to acquire an air circulation data set and an environment comprehensive data set, and inputting the acquired air circulation data set and comprehensive environment data set into the data processing unit;
The data processing unit is used for preprocessing the input air circulation data set and the comprehensive environment data set, recombining the air circulation data set and the comprehensive environment data set into a first data set and a second data set, and inputting the recombined first data set and second data set into the data integration unit;
The data integration unit is used for performing integration calculation on the input first data set and the second data set to obtain an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx, performing integration calculation on an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx to generate an alarm reference coefficient Bckx, and inputting the calculated alarm reference coefficient Bckx into the data analysis unit;
The data analysis unit compares the input alarm reference coefficient Bckx with a first threshold Y preset in the data analysis unit so as to judge whether to activate the alarm, if the display result is activated, an activation instruction is sent to the alarm, meanwhile, the alarm reference coefficient Bckx and the first threshold Y are integrated and calculated so as to generate an alarm magnitude value Bljz, the alarm magnitude value is compared with a second preset threshold R, a second comparison result is generated, the second comparison result is input into the execution unit, and if the display result is that the alarm does not need to be activated, the activation instruction is not sent to the alarm;
The execution unit adapts the input second comparison result with a preset alarm scheme, executes the second comparison result, and generates an alarm log for storage.
Preferably, the data acquisition unit comprises a first acquisition module and a second acquisition module, wherein the first acquisition module is used for acquiring an air circulation data set, and the second acquisition module is used for collecting an environment comprehensive data set;
the air flow data set includes: indoor wind speed value Fsz, indoor vent area Tmj, and room volume Ftj;
The environment integration data set includes: indoor temperature value Nwdzn, outdoor temperature value Wwdz, indoor humidity value Nsdz, and indoor water vapor content value Nszq;
The first acquisition module comprises a wind speed detector and a data interface, wherein the wind speed detector is used for acquiring an indoor wind speed value Fsz, and the data interface is used for inputting an indoor vent area Tmj and a room volume Ftj;
the second acquisition module comprises a temperature detector, an internet interface, a humidity detector and a water vapor detector, wherein the temperature detector is used for acquiring indoor temperature values and respectively marking the indoor temperature values as follows: nwdz1, nwdz, nwdz, and Nwdzn;
The internet interface is used for networking to obtain an outdoor temperature value Wwdz, the humidity detector is used for obtaining an indoor humidity value Nsdz, and the water vapor detector is used for obtaining an indoor water vapor content value Nszq.
Preferably, the data processing unit comprises a preprocessing module and a finishing module, wherein the preprocessing module is used for cleaning and denoising the air ventilation data set and the environment comprehensive data set, and inputting the preprocessed air ventilation data set and the preprocessed environment comprehensive data set into the finishing module for reforming, so as to form a first data set and a second data set;
The first data set includes: indoor wind speed value Fsz, indoor vent area Tmj, room volume Ftj, indoor temperature value Nwdzn, and outdoor temperature value Wwdz;
the second data set includes: indoor humidity value Nsdz and indoor water vapor content value Nszq.
Preferably, the data integration unit includes a first calculation unit and a second calculation unit, where the first calculation unit is configured to integrate and calculate the first data set and the second data set to generate an air circulation rate Kltl and a temperature change window value Wbhc, and then integrate and calculate the air circulation rate Kltl and the temperature change window value Wbhc with the first data set and the second data set to generate an air circulation reference coefficient and an environment comprehensive reference coefficient, and the second calculation unit is configured to integrate and calculate the air circulation reference coefficient and the environment comprehensive reference coefficient to obtain an alarm reference coefficient.
Preferably, the calculation formulas of the air flow rate Kltl and the temperature change window value Wbhc are as follows:
；
；
；
Wherein: tfl is ventilation rate, nwdzn is indoor temperature value under nth time stamp, wwdz is outdoor temperature value, tmj is indoor ventilation opening area, fsz is indoor wind speed value, ftj is room volume, N is total time stamp, nwdz1 is indoor temperature value under first time stamp, k is window starting position, 。
Preferably, the calculation formulas of the air circulation reference coefficient Kckx and the environment integrated reference coefficient Hckx are as follows:
；
；
Wherein: kltl is an air flow rate, wbhc is a temperature change window value, nsdz is an indoor humidity value, nszp is an indoor water vapor content value, a1, a2, b1, b2, and b3 are weight values, and values of a1+.a2+.0, b1+.b2+.b3+.0, a1, a2, b1, b2, and b3 are set by user adjustment.
Preferably, the calculation formula of the alarm reference coefficient Bckx is as follows;
；
Wherein Kckx is an air circulation reference coefficient, hckx is an environment comprehensive reference coefficient, c1 and c2 are weight values, and the values of c1 not equal to c2 not equal to 0, and c1 and c2 are adjusted and set by a user.
Preferably, the data analysis unit comprises a first comparison unit and a second comparison unit, wherein the first comparison unit is used for generating a first comparison result, and the second comparison unit is used for generating a second comparison result;
The first comparison result is: when (when) The representative alarm needs to give an alarm when/>When the alarm is in a state, the representative alarm does not need to give an alarm;
Wherein Bckx is an alarm reference coefficient, and Y is a first threshold;
the second comparison result is: when (when) When the current fire alarm level is represented;
When (when) When the current fire alarm level is the second fire alarm level;
When (when) When the current fire alarm level is represented as a third fire alarm level;
Wherein Bljz is an alarm magnitude value, and R is a second threshold value;
the calculation formula of the alarm magnitude Bljz is as follows:
；
wherein: bckx is an alarm reference coefficient, and Y is a first threshold.
Preferably, the execution unit comprises a matching unit and a recording unit, wherein the matching unit is used for adapting the second comparison result to a preset alarm scheme, and the recording unit is used for generating and recording an alarm log;
the preset alarm scheme is as follows: when the system is at a first fire alarm level, activating an audible alarm, alarming according to the frequency of once every 2 seconds, and setting the alarm volume to 80%;
When the system is at the second fire alarm level, activating an audible alarm, and alarming according to the frequency of once every 0.5 seconds, wherein the alarm volume is set to be 100%;
when the system is at the first fire alarm level, the sound alarm is activated, the alarm is continuously given, the alarm volume is set to 120%, the light alarm is synchronously activated, the flashing light is red according to the frequency of once every 0.5 seconds.
The invention also provides an intelligent fire safety monitoring method, which comprises the following specific steps:
S1, data acquisition, namely detecting an indoor environment through a data acquisition unit, acquiring an air circulation data set and an environment comprehensive data set, and inputting the air circulation data set and the environment comprehensive data set into a data processing unit;
S2, data preprocessing, wherein a data processing unit receives and preprocesses data from a data acquisition unit, and the air circulation data set and the environment comprehensive data set are recombined into a first data set and a second data set;
S3, data calculation, wherein the data integration unit performs integration calculation on the first data set and the second data set to obtain an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx, and generates an alarm reference coefficient Bckx;
S4, data analysis, wherein the data analysis unit compares the alarm reference coefficient Bckx with a preset first threshold Y, judges whether an alarm is needed, generates an alarm magnitude value Bljz if the alarm is needed, and compares the alarm magnitude value with a preset second threshold R to generate a second comparison result;
s5, specifically executing, wherein the executing unit is adapted to a preset alarm scheme according to the second comparison result, executes corresponding alarm measures, and meanwhile generates and stores an alarm log.
The invention provides a method for manufacturing a semiconductor device. The beneficial effects are as follows:
(1) According to the intelligent fire safety monitoring system and the intelligent fire safety monitoring method, through the cooperative work of all units, real-time monitoring, data processing, comprehensive analysis and emergency response of an indoor environment are realized, compared with a traditional static detection system, the intelligent fire safety monitoring system has higher flexibility and accuracy, can better adapt to changes under different environmental conditions, improves the efficiency and accuracy of fire detection based on an intelligent data processing mode, reduces occurrence of false alarm conditions, and reduces interference to normal life of a user.
(2) According to the intelligent fire safety monitoring system and method, different alarm modes and frequencies, such as volume and frequency change of the sound alarm, can be selected for different fire alarm levels, and the light alarm is synchronously activated to flash, so that the flexibility and applicability of the alarm are improved, alarm logs are timely generated and recorded, the time and level of the system triggering the alarm are included, important data support is provided for subsequent examination and analysis, and traceability and management efficiency of the system are improved.
Drawings
FIG. 1 is a system flow diagram of the present invention;
FIG. 2 is a diagram of the steps of the method of the present invention;
In the figure: 1. a data acquisition unit; 2. a data processing unit; 3. a data integration unit; 4. a data analysis unit; 5. an execution unit; 101. a first acquisition module; 102. a second acquisition module; 201. a preprocessing module; 202. a finishing module; 301. a first calculation unit; 302. a second calculation unit; 401. a first contrast unit; 402. a second comparing unit; 501. a matching unit; 502. and a recording unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1, an intelligent fire safety monitoring system is characterized in that: the system comprises a data acquisition unit 1, a data processing unit 2, a data integration unit 3, a data analysis unit 4 and an execution unit 5;
the data acquisition unit 1 is used for detecting the indoor environment so as to acquire an air circulation data set and an environment comprehensive data set, and inputting the acquired air circulation data set and comprehensive environment data set into the data processing unit 2;
The data processing unit 2 pre-processes the input air circulation data set and the comprehensive environment data set, so that the air circulation data set and the comprehensive environment data set are recombined into a first data set and a second data set, and the recombined first data set and second data set are input into the data integration unit 3;
The data integration unit 3 is configured to integrate and calculate the input first data set and second data set, thereby obtaining an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx, integrate and calculate an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx, thereby generating an alarm reference coefficient Bckx, and input the calculated alarm reference coefficient Bckx into the data analysis unit 4;
The data analysis unit 4 compares the input alarm reference coefficient Bckx with a first threshold Y preset in the data analysis unit 4 so as to judge whether to activate the alarm, if the display result is activated, an activation instruction is sent to the alarm, meanwhile, the alarm reference coefficient Bckx and the first threshold Y are integrated and calculated so as to generate an alarm magnitude value Bljz, the alarm magnitude value is compared with a second threshold R preset, so that a second comparison result is generated, the second comparison result is input into the execution unit 5, and if the display result is that the activation is not needed, the activation instruction is not sent to the alarm;
The execution unit 5 adapts the input second comparison result with a preset alarm scheme, executes the second comparison result, and generates an alarm log for storage.
In this embodiment: the data acquisition unit 1 is responsible for detecting the indoor environment and acquiring an air circulation data set and an environment comprehensive data set. Through data acquisition, the system can know indoor environment conditions in real time, including air circulation conditions and comprehensive environment data, and provides accurate data support for subsequent processing and decision making.
The data processing unit 2 receives data from the data acquisition unit and performs preprocessing. In this process, the air flow data set and the integrated environment data set are to be preprocessed and reorganized into a first data set and a second data set. By preprocessing, the system can perform preliminary processing and arrangement on the data, and provide clear data structures and formats for subsequent calculation and analysis.
The data integration unit 3 is configured to integrate and calculate the first data set and the second data set, thereby obtaining an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx, and through secondary integration and calculation, the system can comprehensively consider the air circulation condition and the environment comprehensive condition, generate an alarm reference coefficient Bckx, and provide a reliable basis for subsequent alarm judgment.
The data analysis unit 4 is responsible for analyzing and judging the alarm reference coefficient Bckx, comparing the input alarm reference coefficient with a preset first threshold Y, judging whether an alarm is needed, and through data analysis and judgment, the system can accurately identify fire or other safety risks and provide accurate basis for subsequent emergency response.
The execution unit 5 performs corresponding execution according to the result of the data analysis unit 4, and the execution unit adapts the second comparison result to a preset alarm scheme, performs corresponding execution, and generates an alarm log for storage. Through the operation of the execution unit, the system can take corresponding measures to deal with fire disaster or other safety risks in time, and the life and property safety of people is protected to the greatest extent.
Through the collaborative work of each unit, the intelligent fire safety monitoring system realizes real-time monitoring, data processing, comprehensive analysis and emergency response to the indoor environment, has higher flexibility and accuracy compared with the traditional static detection system, can better adapt to the changes under different environmental conditions, improves the efficiency and accuracy of fire detection based on the intelligent processing mode of data, reduces the occurrence of false alarm conditions and reduces the interference to normal life of users.
Example 2: referring to fig. 1, a data acquisition unit 1 includes a first acquisition module 101 and a second acquisition module 102, wherein the first acquisition module 101 is used for acquiring an air circulation data set, and the second acquisition module 102 is used for collecting an environment comprehensive data set;
The air flow data set includes: indoor wind speed value Fsz, indoor vent area Tmj, and room volume Ftj;
The environment integrated data set includes: indoor temperature value Nwdzn, outdoor temperature value Wwdz, indoor humidity value Nsdz, and indoor water vapor content value Nszq;
The first acquisition module 101 comprises a wind speed detector for acquiring an indoor wind speed value Fsz and a data interface for inputting an indoor vent area Tmj and a room volume Ftj;
the second acquisition module 102 includes a temperature detector, an internet interface, a humidity detector, and a water vapor detector, where the temperature detector is configured to obtain indoor temperature values, and the indoor temperature values are respectively recorded as follows: nwdz1, nwdz, nwdz, and Nwdzn;
The internet interface is used for networking to obtain the outdoor temperature value Wwdz, the humidity detector is used for obtaining the indoor humidity value Nsdz, and the water vapor detector is used for obtaining the indoor water vapor content value Nszq.
In this embodiment: the first acquisition module 101 utilizes a wind speed detector and a data interface to acquire information of an indoor wind speed value Fsz, an indoor ventilation opening area Tmj and a room volume Ftj, and the second acquisition module 102 is provided with a temperature detector, a humidity detector, an internet interface and a water vapor detector and is respectively used for acquiring an indoor temperature value Nwdzn, an outdoor temperature value Wwdz, an indoor humidity value Nsdz and an indoor water vapor content value Nszq, so that the system can acquire indoor and outdoor environment parameters omnidirectionally, and comprehensive analysis and accurate judgment of the system on fire risks are facilitated. Meanwhile, the system can realize dynamic monitoring of temperature change by time stamping the change of the temperature value, and the sensitivity and accuracy of the system are further improved.
Meanwhile, the temperature detector under the second acquisition module 102 marks the results as time stamps: nwdz1, nwdz, nwdz3, nwdzn, and is convenient for subsequent sorting analysis, and avoids triggering an alarm due to temperature change caused by normal life behaviors of a user.
Example 3: referring to fig. 1, the data processing unit 2 includes a preprocessing module 201 and a sorting module 202, where the preprocessing module 201 is configured to clean and denoise an air ventilation data set and an environment comprehensive data set, and input the preprocessed air ventilation data set and environment comprehensive data set into the sorting module 202 for reforming, so as to form a first data set and a second data set;
The first data set includes: indoor wind speed value Fsz, indoor vent area Tmj, room volume Ftj, indoor temperature value Nwdzn, and outdoor temperature value Wwdz;
the second data set includes: indoor humidity value Nsdz and indoor water vapor content value Nszq.
In this embodiment: through the cleaning and denoising operation of the preprocessing module, the accuracy and the reliability of data can be effectively improved, the misjudgment condition caused by data noise and interference is reduced, and the stability and the reliability of the system are improved.
The arrangement module reforms the preprocessed data into the first data group and the second data group, so that the data structure is clearer and tidier, the subsequent analysis and application are convenient, and the comprehensive analysis and comprehensive judgment of the system on the environmental parameters are enhanced.
Example 4: referring to fig. 1, the data integration unit 3 includes a first calculation unit 301 and a second calculation unit 302, the first calculation unit 301 is configured to integrate and calculate a first data set and a second data set to generate an air circulation rate Kltl and a temperature change window value Wbhc, and then integrate and calculate the air circulation rate Kltl and the temperature change window value Wbhc with the first data set and the second data set to generate an air circulation reference coefficient and an environment comprehensive reference coefficient, and the second calculation unit 302 is configured to integrate and calculate the air circulation reference coefficient and the environment comprehensive reference coefficient to obtain an alarm reference coefficient.
The calculation formulas of the air circulation rate Kltl and the temperature change window value Wbhc are as follows:
；
；
；
Wherein: tfl is ventilation rate, nwdzn is indoor temperature value under nth time stamp, wwdz is outdoor temperature value, tmj is indoor ventilation opening area, fsz is indoor wind speed value, ftj is room volume, N is total time stamp, nwdz1 is indoor temperature value under first time stamp, k is window starting position, 。
The calculation formulas of the air circulation reference coefficient Kckx and the environment integrated reference coefficient Hckx are as follows:
；
；
Wherein: kltl is an air flow rate, wbhc is a temperature change window value, nsdz is an indoor humidity value, nszp is an indoor water vapor content value, a1, a2, b1, b2, and b3 are weight values, and values of a1+.a2+.0, b1+.b2+.b3+.0, a1, a2, b1, b2, and b3 are set by user adjustment.
The calculation formula of the alarm reference coefficient Bckx is as follows;
；
Wherein: kckx is an air circulation reference coefficient, hckx is an environment comprehensive reference coefficient, c1 and c2 are weight values, c1 not equal to c2 not equal to 0, and values of c1 and c2 are adjusted and set by a user.
In this embodiment: more accurate and comprehensive parameter consideration is introduced into the calculation formulas of the air ventilation rate Kltl and the temperature change window value Wbhc, wherein the calculation of the air ventilation rate Kltl more accurately reflects the ventilation condition of indoor air by considering the ventilation rate Tfl, the room volume Ftj and the wind speed Fsz; and the calculation of the temperature change window value Wbhc is based on the temperature change trend, and the dynamic monitoring and analysis of the temperature change are realized by a timestamp recording mode.
In the calculation formulas of the air circulation reference coefficient Kckx and the environment comprehensive reference coefficient Hckx, the air circulation rate Kltl, the temperature change window value Wbhc, the indoor humidity value Nsdz and the indoor water vapor content value Nszp are further considered, and reasonable adjustment is carried out through the weight values, so that the system can evaluate the safety condition of the indoor environment more comprehensively, judge the fire risk accurately and reduce the false alarm rate.
Example 5: referring to fig. 1, the data analysis unit 4 includes a first comparing unit 401 and a second comparing unit 402, wherein the first comparing unit 401 is used for generating a first comparison result, and the second comparing unit 402 is used for generating a second comparison result;
the first comparison result is: when (when) The representative alarm needs to give an alarm when/>When the alarm is in a state, the representative alarm does not need to give an alarm;
Wherein Bckx is an alarm reference coefficient, and Y is a first threshold;
The second comparison result is: when (when) When the current fire alarm level is represented;
When (when) When the current fire alarm level is the second fire alarm level;
When (when) When the current fire alarm level is represented as a third fire alarm level;
Wherein Bljz is an alarm magnitude value, and R is a second threshold value;
the calculation formula of the alarm magnitude Bljz is as follows:
；
wherein: bckx is an alarm reference coefficient, and Y is a first threshold.
In this embodiment: the first comparing unit 401 compares the alarm reference coefficient Bckx with a preset first threshold value Y to judge whether the alarm needs to be triggered, so that false alarm or missing alarm is avoided, and the reliability and practicality of the system are improved.
The second comparison unit 402 can flexibly determine the current fire alarm level according to the comparison between the alarm magnitude value Bljz and the preset second threshold value R, so that the system can take corresponding alarm measures according to different degrees of fire risks, the accuracy and pertinence of the alarm are improved, and meanwhile unnecessary life interference of the alarm to a user is reduced.
Example 6: referring to fig. 1, the executing unit 5 includes a matching unit 501 and a recording unit 502, where the matching unit 501 is configured to adapt the second comparison result to a preset alarm scheme, and the recording unit 502 is configured to generate and record an alarm log;
The preset alarm scheme is as follows: when the system is at a first fire alarm level, activating an audible alarm, alarming according to the frequency of once every 2 seconds, and setting the alarm volume to 80%;
When the system is at the second fire alarm level, activating an audible alarm, and alarming according to the frequency of once every 0.5 seconds, wherein the alarm volume is set to be 100%;
when the system is at the first fire alarm level, the sound alarm is activated, the alarm is continuously given, the alarm volume is set to 120%, the light alarm is synchronously activated, the flashing light is red according to the frequency of once every 0.5 seconds.
In this embodiment: according to the second comparison result of the system and a preset alarm scheme, the matching unit 501 can intelligently select a proper alarm mode, frequency and volume so as to more accurately respond to fire risks, and the pertinence and practicability of the alarm are improved.
For different fire alarm levels, the system can select different alarm modes and frequencies, such as volume and frequency change of the sound alarm, and synchronously activate the light alarm to flash, thereby improving the flexibility and applicability of the alarm.
The recording unit 502 can timely generate and record an alarm log, including the time and the grade of the system triggering the alarm, provides important data support for subsequent examination and analysis, and improves the traceability and the management efficiency of the system.
The invention also comprises an intelligent fire safety monitoring method, referring to fig. 2, comprising the following specific steps:
s1, data acquisition, namely detecting the indoor environment through a data acquisition unit 1, acquiring an air circulation data set and an environment comprehensive data set, and inputting the air circulation data set and the environment comprehensive data set into a data processing unit 2;
S2, data preprocessing, wherein the data processing unit 2 receives and preprocesses data from the data acquisition unit, and reorganizes an air circulation data set and an environment comprehensive data set into a first data set and a second data set;
S3, data calculation, wherein the data integration unit 3 performs integration calculation on the first data set and the second data set to obtain an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx, and generates an alarm reference coefficient Bckx;
S4, data analysis, wherein the data analysis unit 4 compares the alarm reference coefficient Bckx with a preset first threshold Y, judges whether an alarm is needed, generates an alarm magnitude value Bljz if the alarm is needed, and compares the alarm magnitude value with a preset second threshold R to generate a second comparison result;
S5, executing, wherein the executing unit 5 adapts to a preset alarm scheme according to a second comparison result, executes corresponding alarm measures, and simultaneously generates and stores an alarm log.
Specific data examples:
taking a household fire-fighting intelligent fire-fighting safety monitor produced by a certain company as an example:
summer season: indoor wind speed value Fsz =2.5, indoor vent area Tmj =5, room volume Ftj =50;
The indoor temperatures are 24, 25, 26, 27 and 28; outdoor temperature value=32, indoor humidity value=60, indoor water vapor content value=0.15;
Air circulation reference coefficient Kckx =0.68, environment integrated reference coefficient Hckx =0.45;
Alarm reference coefficient Bckx =0.57, first threshold y=0.6;
Due to The system does not alarm;
winter: indoor wind speed value Fsz =1.8, indoor vent area Tmj =5, room volume Ftj =50;
Indoor temperatures of 18, 19, 20, 21, 22, outdoor temperature value=5, indoor humidity value=70, indoor water vapor content value=0.2;
Air circulation reference coefficient Kckx =0.01, environment integrated reference coefficient Hckx =6.86;
Alarm reference coefficient Bckx =3.345, first threshold y=0.6;
Due to The system triggers an alarm;
Alarm magnitude Bljz =4.725, r is 0.8;
Due to when When the current fire alarm level is the second fire alarm level, the sound alarm is activated, the alarm is given according to the frequency of every 0.5 seconds, and the alarm volume is set to be 100%.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent fire safety monitoring system, which is characterized in that: comprises a data acquisition unit (1), a data processing unit (2), a data integration unit (3), a data analysis unit (4) and an execution unit (5);
The data acquisition unit (1) is used for detecting the indoor environment so as to acquire an air circulation data set and an environment comprehensive data set, and inputting the acquired air circulation data set and comprehensive environment data set into the data processing unit (2);
the data processing unit (2) is used for preprocessing the input air circulation data set and the comprehensive environment data set, recombining the air circulation data set and the comprehensive environment data set into a first data set and a second data set, and inputting the recombined first data set and second data set into the data integration unit (3);
The data integration unit (3) is configured to integrate and calculate the input first data set and second data set, thereby obtaining an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx, integrate and calculate an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx, thereby generating an alarm reference coefficient Bckx, and input the calculated alarm reference coefficient Bckx into the data analysis unit (4);
The data analysis unit (4) compares the input alarm reference coefficient Bckx with a first threshold Y preset in the data analysis unit (4) so as to judge whether to activate the alarm, if the display result is activated, an activation instruction is sent to the alarm, meanwhile, the alarm reference coefficient Bckx and the first threshold Y are integrated and calculated so as to generate an alarm magnitude value Bljz, the alarm magnitude value is compared with a second threshold R preset, so that a second comparison result is generated, the second comparison result is input into the execution unit (5), and if the display result is that the activation is not needed, the activation instruction is not sent to the alarm;
the execution unit (5) adapts the input second comparison result with a preset alarm scheme, executes the second comparison result, and generates an alarm log for storage.
2. The intelligent fire safety monitoring system of claim 1, wherein: the data acquisition unit (1) comprises a first acquisition module (101) and a second acquisition module (102), wherein the first acquisition module (101) is used for acquiring an air circulation data set, and the second acquisition module (102) is used for collecting an environment comprehensive data set;
the air flow data set includes: indoor wind speed value Fsz, indoor vent area Tmj, and room volume Ftj;
The environment integration data set includes: indoor temperature value Nwdzn, outdoor temperature value Wwdz, indoor humidity value Nsdz, and indoor water vapor content value Nszq;
the first acquisition module (101) comprises a wind speed detector and a data interface, wherein the wind speed detector is used for acquiring an indoor wind speed value Fsz, and the data interface is used for inputting an indoor ventilation opening area Tmj and a room volume Ftj;
The second acquisition module (102) comprises a temperature detector, an internet interface, a humidity detector and a water vapor detector, wherein the temperature detector is used for acquiring indoor temperature values and respectively marking the indoor temperature values as follows according to time stamps: nwdz1, nwdz, nwdz, and Nwdzn;
The internet interface is used for networking to obtain an outdoor temperature value Wwdz, the humidity detector is used for obtaining an indoor humidity value Nsdz, and the water vapor detector is used for obtaining an indoor water vapor content value Nszq.
3. The intelligent fire safety monitoring system of claim 2, wherein: the data processing unit (2) comprises a preprocessing module (201) and a finishing module (202), wherein the preprocessing module (201) is used for cleaning and denoising an air ventilation data set and an environment comprehensive data set, and inputting the preprocessed air ventilation data set and the preprocessed environment comprehensive data set into the finishing module (202) for reforming, so that a first data set and a second data set are formed;
The first data set includes: indoor wind speed value Fsz, indoor vent area Tmj, room volume Ftj, indoor temperature value Nwdzn, and outdoor temperature value Wwdz;
the second data set includes: indoor humidity value Nsdz and indoor water vapor content value Nszq.
4. The intelligent fire safety monitoring system of claim 3, wherein: the data integration unit (3) comprises a first calculation unit (301) and a second calculation unit (302), the first calculation unit (301) is used for integrating and calculating a first data set and a second data set to generate an air circulation rate Kltl and a temperature change window value Wbhc, then integrating and calculating an air circulation rate Kltl and a temperature change window value Wbhc with the first data set and the second data set to generate an air circulation reference coefficient and an environment comprehensive reference coefficient, and the second calculation unit (302) is used for integrating and calculating the air circulation reference coefficient and the environment comprehensive reference coefficient to obtain an alarm reference coefficient.
5. The intelligent fire safety monitoring system of claim 4, wherein: the calculation formulas of the air circulation rate Kltl and the temperature change window value Wbhc are as follows:
；
；
；
Wherein: tfl is ventilation rate, nwdzn is indoor temperature value under nth time stamp, wwdz is outdoor temperature value, tmj is indoor ventilation opening area, fsz is indoor wind speed value, ftj is room volume, N is total time stamp, nwdz1 is indoor temperature value under first time stamp, k is window starting position, 。
6. The intelligent fire safety monitoring system of claim 5, wherein: the calculation formulas of the air circulation reference coefficient Kckx and the environment comprehensive reference coefficient Hckx are as follows:
；
；
Wherein: kltl is an air flow rate, wbhc is a temperature change window value, nsdz is an indoor humidity value, nszp is an indoor water vapor content value, a1, a2, b1, b2, and b3 are weight values, and values of a1+.a2+.0, b1+.b2+.b3+.0, a1, a2, b1, b2, and b3 are set by user adjustment.
7. The intelligent fire safety monitoring system of claim 6, wherein: the calculation formula of the alarm reference coefficient Bckx is as follows;
；
Wherein Kckx is an air circulation reference coefficient, hckx is an environment comprehensive reference coefficient, c1 and c2 are weight values, and the values of c1 not equal to c2 not equal to 0, and c1 and c2 are adjusted and set by a user.
8. The intelligent fire safety monitoring system of claim 7, wherein: the data analysis unit (4) comprises a first comparison unit (401) and a second comparison unit (402), wherein the first comparison unit (401) is used for generating a first comparison result, and the second comparison unit (402) is used for generating a second comparison result;
The first comparison result is: when (when) The representative alarm needs to give an alarm when/>When the alarm is in a state, the representative alarm does not need to give an alarm;
Wherein Bckx is an alarm reference coefficient, and Y is a first threshold;
the second comparison result is: when (when) When the current fire alarm level is represented;
When (when) When the current fire alarm level is the second fire alarm level;
When (when) When the current fire alarm level is represented as a third fire alarm level;
Wherein Bljz is an alarm magnitude value, and R is a second threshold value;
the calculation formula of the alarm magnitude Bljz is as follows:
；
wherein: bckx is an alarm reference coefficient, and Y is a first threshold.
9. The intelligent fire safety monitoring system of claim 8, wherein: the execution unit (5) comprises a matching unit (501) and a recording unit (502), wherein the matching unit (501) is used for adapting a second comparison result to a preset alarm scheme, and the recording unit (502) is used for generating and recording an alarm log;
the preset alarm scheme is as follows: when the system is at a first fire alarm level, activating an audible alarm, alarming according to the frequency of once every 2 seconds, and setting the alarm volume to 80%;
When the system is at the second fire alarm level, activating an audible alarm, and alarming according to the frequency of once every 0.5 seconds, wherein the alarm volume is set to be 100%;
when the system is at the first fire alarm level, the sound alarm is activated, the alarm is continuously given, the alarm volume is set to 120%, the light alarm is synchronously activated, the flashing light is red according to the frequency of once every 0.5 seconds.
10. An intelligent fire safety monitoring method, comprising the intelligent fire safety monitoring system according to any one of the claims 1-9, characterized in that: the method comprises the following specific steps:
S1, data acquisition, namely detecting the indoor environment through a data acquisition unit (1), acquiring an air circulation data set and an environment comprehensive data set, and inputting the air circulation data set and the environment comprehensive data set into a data processing unit (2);
s2, data preprocessing, wherein the data processing unit (2) receives and preprocesses data from the data acquisition unit, and reorganizes an air circulation data set and an environment comprehensive data set into a first data set and a second data set;
S3, data calculation, wherein the data integration unit (3) performs integration calculation on the first data set and the second data set to obtain an air circulation reference coefficient Kckx and an environment comprehensive reference coefficient Hckx, and generates an alarm reference coefficient Bckx;
S4, data analysis, wherein the data analysis unit (4) compares the alarm reference coefficient Bckx with a preset first threshold Y, judges whether an alarm is needed, generates an alarm magnitude value Bljz if the alarm is needed, and compares the alarm magnitude value with a preset second threshold R to generate a second comparison result;
s5, specifically executing, wherein the executing unit (5) adapts to a preset alarm scheme according to a second comparison result, executes corresponding alarm measures, and simultaneously generates and stores an alarm log.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111720957A (en) * | 2020-05-27 | 2020-09-29 | 苏州新森智能科技有限公司 | Passive room intelligence new trend air conditioner control system |
| CN113156826A (en) * | 2021-03-25 | 2021-07-23 | 青岛酒店管理职业技术学院 | Household automatic management method, management system and terminal based on artificial intelligence |
| CN115754166A (en) * | 2022-12-01 | 2023-03-07 | 安徽皖华环保设备科技有限公司 | Indoor environment quality early warning system based on Internet of things |
| CN117563184A (en) * | 2024-01-15 | 2024-02-20 | 东营昆宇电源科技有限公司 | Energy storage fire control system based on thing networking |
| CN117706951A (en) * | 2023-12-22 | 2024-03-15 | 厦门狄耐克智能科技股份有限公司 | Intelligent household safety early warning system based on artificial intelligence |
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111720957A (en) * | 2020-05-27 | 2020-09-29 | 苏州新森智能科技有限公司 | Passive room intelligence new trend air conditioner control system |
| CN113156826A (en) * | 2021-03-25 | 2021-07-23 | 青岛酒店管理职业技术学院 | Household automatic management method, management system and terminal based on artificial intelligence |
| CN115754166A (en) * | 2022-12-01 | 2023-03-07 | 安徽皖华环保设备科技有限公司 | Indoor environment quality early warning system based on Internet of things |
| CN117706951A (en) * | 2023-12-22 | 2024-03-15 | 厦门狄耐克智能科技股份有限公司 | Intelligent household safety early warning system based on artificial intelligence |
| CN117563184A (en) * | 2024-01-15 | 2024-02-20 | 东营昆宇电源科技有限公司 | Energy storage fire control system based on thing networking |
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