CN116631136B - Intelligent fire alarm system of building floor - Google Patents
Intelligent fire alarm system of building floor Download PDFInfo
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- CN116631136B CN116631136B CN202310918955.4A CN202310918955A CN116631136B CN 116631136 B CN116631136 B CN 116631136B CN 202310918955 A CN202310918955 A CN 202310918955A CN 116631136 B CN116631136 B CN 116631136B
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- 238000007781 pre-processing Methods 0.000 claims abstract description 63
- 238000012544 monitoring process Methods 0.000 claims abstract description 58
- 230000002159 abnormal effect Effects 0.000 claims abstract description 32
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 68
- 238000004891 communication Methods 0.000 claims description 37
- 239000000779 smoke Substances 0.000 claims description 37
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 34
- 239000001569 carbon dioxide Substances 0.000 claims description 34
- 230000005540 biological transmission Effects 0.000 claims description 12
- 230000005856 abnormality Effects 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 3
- 101100421745 Caenorhabditis elegans sms-1 gene Proteins 0.000 claims description 2
- 101100366043 Caenorhabditis elegans sms-2 gene Proteins 0.000 claims description 2
- 101100366058 Caenorhabditis elegans sms-3 gene Proteins 0.000 claims description 2
- 238000012545 processing Methods 0.000 description 14
- 101100042848 Rattus norvegicus Smok gene Proteins 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000002265 prevention Effects 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 108091092568 Alarmone Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
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- Computer Security & Cryptography (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Alarm Systems (AREA)
- Fire Alarms (AREA)
Abstract
The invention discloses an intelligent fire alarm system for building floors, which relates to the technical field of intelligent fire alarm and comprises a plurality of sensor modules, data preprocessing modules, data acquisition modules, a microcomputer host, an alarm and an AI chip-based false alarm monitoring and handling module, wherein the number of the sensor modules is consistent with that of the sensor modules, and the sensor modules are respectively arranged at floor channels and used for detecting fire characteristic data. The invention adds the data preprocessing module and the false alarm monitoring and disposing module on the basis of the traditional intelligent fire alarm system, improves the accuracy of fire alarm, avoids false alarm caused by abnormal sensor, ensures the running state of the microcomputer host and prolongs the service life of the microcomputer host; the false alarm monitoring and handling module judges whether the alarm gives false alarm or not, and greatly reduces the influence of false alarm caused by the faults of the electric devices on the normal life of residents.
Description
Technical Field
The invention relates to the technical field of intelligent fire alarm, in particular to an intelligent fire alarm system for building floors.
Background
With the rapid development of modern technology and the continuous improvement of people's safety consciousness, the performances of fire prevention, smoke prevention, theft prevention and the like of intelligent buildings are more and more emphasized.
In order to monitor and alarm fire hazards more intelligently, an intelligent fire alarm system is installed on each floor of a modern building, and generally comprises a microcomputer host, a plurality of smoke sensors, a plurality of temperature sensors, a data acquisition module and an alarm, wherein the smoke sensors and the temperature sensors respectively acquire smoke data and temperature data of all parts in a corridor, the smoke data and the temperature data are transmitted to the microcomputer host through the data acquisition module, when the data received by the microcomputer host are larger than a set threshold value, fire risks are considered, and at the moment, the alarm is controlled to send alarm sounds, so that the intelligent alarm purpose is achieved.
However, after a period of use, there is a fault risk of false alarm, and reports that the false alarm affects normal lives of residents are frequent, and if the alarm only happens once occasionally, the life is not affected, but generally, the false alarm is caused by equipment faults, such as abnormal smoke sensor or abnormal alarm, which can cause frequent false alarm, and if the resident normal lives are not manually overhauled and replaced, the normal lives of the residents are greatly affected.
Therefore, how to design a more stable and reliable intelligent fire alarm system can greatly reduce the false alarm occurrence rate while ensuring more accurate monitoring of fire hazards, and the intelligent fire alarm system is a technical problem to be solved in the technical field of intelligent fire alarm.
Disclosure of Invention
In order to solve the technical problems of the existing intelligent fire alarm system, the invention provides the intelligent fire alarm system for the building floor. The following technical scheme is adopted:
the intelligent fire alarm system for the building floors comprises a plurality of sensor modules, a data preprocessing module, a data acquisition module, a microcomputer host, an alarm and an AI chip-based false alarm monitoring and disposing module, wherein the data preprocessing module is consistent in number with the sensor modules, the microcomputer host is used for judging whether fire risks exist according to the fire characteristic data, the alarm is controlled to alarm, the false alarm monitoring module is respectively connected with the data preprocessing module, the microcomputer host is used for detecting fire characteristic data, the fire characteristic data comprise smoke concentration, temperature and carbon dioxide concentration, the sensor modules are in communication connection with the microcomputer host through the data acquisition module, the data preprocessing module is in communication connection with a signal output end of the sensor modules, the data preprocessing module is used for analyzing data acquired by the sensor modules and controlling transmission of the sensor modules and the data acquisition module, the microcomputer host is used for controlling the alarm to perform alarming according to the fire risks, the false alarm monitoring module is respectively connected with the data preprocessing module, the microcomputer host and the alarm in communication, when the alarm is monitored to work, the data preprocessing module is compared with the data of the microcomputer host, whether false alarm judgment exists or not, if the false alarm judgment exists, the false alarm is recorded, and the far-end data packet is transmitted to an alarm packet is processed to an alarm center.
By adopting the technical scheme, the intelligent fire alarm system can normally run for a long time after being generally arranged, faults of the sensor and the alarm can not be avoided in the long-time running process, and the faults can bring false alarms and puzzles to normal situation life.
The intelligent fire alarm system is characterized in that a data preprocessing module and a false alarm monitoring and processing module are added on the basis of a traditional intelligent fire alarm system, wherein the data preprocessing module plays a role in preprocessing data acquired by a sensor module, firstly, abnormal data are screened, false alarms caused by sensor abnormality are avoided, and the accuracy of fire alarm is improved; secondly, the data processing capacity of the microcomputer host is reduced, the running state of the microcomputer host is ensured, and the service life of the microcomputer host is prolonged;
the false alarm monitoring and handling module can judge whether false alarm occurs to the alarm or not through data acquisition and monitoring of the data preprocessing module, the microcomputer host and the alarm, and execute a handling means for stopping the alarm action of the alarm, so that normal fire alarm is not affected, the false alarm can be recovered in a short time after the alarm is stopped, if false alarm is not continued after the recovery, the false alarm risk is relieved, and if false alarm is continued, the false alarm can be solved by using a standby alarm device, manual intervention and other modes.
The technical defect that the traditional intelligent fire alarm system cannot automatically handle false alarms is overcome, and negative influence of the false alarms on normal life of residents is reduced as much as possible.
Optionally, the sensor module includes three smoke sensors, three temperature sensor and three carbon dioxide concentration sensor and a plurality of independent power supply, floor passageway department sets up smoke sensing position, temperature detection position and carbon dioxide concentration detection position, three smoke sensors are installed respectively side by side and are examined the position at smoke sensing position, three temperature sensor is installed respectively side by side and is examined the position at temperature, three carbon dioxide concentration sensor is installed respectively side by side at carbon dioxide concentration detection position, a plurality of independent power supply is smoke sensors, temperature sensor and carbon dioxide concentration sensor power supply alone respectively, the data preprocessing module includes analog input module, preprocessing chip and a plurality of communication switch, three smoke sensors, three temperature sensor and three carbon dioxide concentration sensor's analog signal output part are respectively through analog input module and preprocessing chip communication connection, three smoke sensors, three temperature sensor and three carbon dioxide concentration sensor are respectively through a plurality of communication switch and data acquisition module's signal input part communication connection, preprocessing chip is connected with a plurality of communication switch control connection respectively, realize through switching in the sensor of the analog signal input of communication switch and the sensor of carbon dioxide concentration sensor, the sensor realizes the selection of the sensor of the data sensor through switching on and off.
Optionally, the specific operation steps of the data preprocessing module for analyzing the data collected by the sensor module are as follows:
the three smoke sensors are respectively numbered as S1, S2 and S3, the three temperature sensors are respectively numbered as T1, T2 and T3, the three carbon dioxide concentration sensors are respectively numbered as C1, C2 and C3, and the smoke concentration data respectively measured by the S1, S2 and S3 at the moment T are respectively smoke1, smoke2 and smoke3; temperature data measured by T1, T2 and T3 are temp1, temp2 and temp3, and carbon dioxide concentration data measured by C1, C2 and C3 are carbon1, carbon2 and carbon3;
and the preprocessing chip picks out abnormal values in the SMOK 1, the SMOK 2 and the SMOK 3, the temp1, the temp2 and the temp3 respectively, the abnormal values refer to data with the data difference degree of more than 20%, the preprocessing chip controls the communication switch of the sensor corresponding to the abnormal value to be disconnected, if the difference degree of the three values is more than 20%, the sensor module abnormality is output to the false alarm monitoring and treatment module, and the preprocessing chip records the information of the sensor corresponding to the abnormal value and transmits the information to the far-end command center.
By adopting the technical scheme, three sensors of the sensor module are three in number, in actual operation, the data obtained by the data preprocessing module at each monitoring moment are three, so that the three data can be subjected to differential analysis, if one sensor fails, the three data can be simply compared with each other through the differential degree to select an abnormal value, the abnormal value is then corresponding to the serial number of the sensor, the judgment of the sensor failure can be realized, the sensor with the failure can be cut off by being matched with the on-off of the communication switch, the information of the sensor corresponding to the abnormal value is recorded by the preprocessing chip and transmitted to the far-end command center, the failed sensor can be replaced according to the record when the subsequent staff overhauls, and the two remaining normal sensors can also normally provide fire characteristic monitoring data;
if the three data have larger differences, the judgment of which data is abnormal cannot be performed, the abnormal result of the sensor module is output to the false alarm monitoring and processing module, and the false alarm monitoring and processing module can also disconnect the alarm to avoid that the alarm is always in an alarm state;
the abnormal sensor can be temporarily removed, and the remote command center can be overhauled manually in time.
Optionally, the alarm is an audible and visual alarm.
Optionally, the false alarm monitoring and handling module includes main control circuit board, microphone module, speech recognition chip and the data transmission module based on AI chip, microphone module sets up in alarm one side for gather the alarm sound that the alarm sent, microphone module and speech recognition chip communication connection, speech recognition chip is used for judging whether the alarm reports to the police, and transmit the judgement result to main control circuit board, main control circuit board passes through data transmission module respectively with data preprocessing module and microcomputer host communication connection, gather microcomputer host and send alarm instruction, if speech recognition chip discerns the alarm and sends the alarm, the microcomputer host does not send alarm instruction simultaneously, then judge that the false alarm appears, false alarm monitoring and handling module control alarm outage, main control circuit board transmits the false alarm data package to the far-end command center.
Through adopting above-mentioned technical scheme, the alarm information that the false alarm control processing module gathered the alarm is not based on the working signal of alarm, when the alarm breaks down, probably its control signal can not represent its whether to report to the police, adopt physical property microphone module to gather the alarm sound of alarm directly, and discern this alarm sound through the speech recognition chip, because the microphone module is close to the alarm setting, therefore the discernment of speech recognition chip to the alarm sound appearance is very reliable, the false judgement can not appear basically, judge when the alarm takes place for the speech recognition chip, and when the microcomputer host computer output signal that the main control circuit board gathered through data transmission module did not report to the police and carry out the signal, can confirm that the alarm has appeared the false alarm, just need take outage to handle the alarm at this moment, and simultaneously transmit the false alarm data package to the distal command center, the staff should overhaul as early as possible.
Optionally, the false alarm monitoring and disposing module further comprises an alarm electric control switch, the alarm is connected to a power supply through the alarm electric control switch, and the main control circuit board is used for realizing power-off reset operation of the alarm through controlling the switch action of the alarm electric control switch.
By adopting the technical scheme, whether the alarm is powered off or not is realized by means of the execution action of the electric control switch of the alarm, and the automatic disposal of false alarm of the alarm is realized.
Optionally, the duration of the power-off reset operation is 10-30 seconds, and the main control circuit board controls the electric control switch of the alarm to switch on the power supply of the alarm.
By adopting the technical scheme, because the normal fire monitoring and alarming functions of the intelligent fire alarm system cannot be interfered, after the alarm is powered off, the power supply needs to be restored after 10-30 seconds, preferably 10 seconds, so as to eliminate redundant faults of some electronic elements.
Optionally, the false alarm monitoring and handling module further comprises a standby alarm component, if the false alarm monitoring and handling module monitors that the alarm has false alarm again within an interval of hours after the alarm resumes power supply, after judging that the alarm has faults, the main control circuit board cuts off the power supply of the alarm by controlling an electric control switch of the alarm, and the standby alarm component is connected to the microcomputer host.
Through adopting above-mentioned technical scheme, reserve alarm module's setting is in order to cut off the power supply and reset the operation back, under the condition of the operation that appears the false alarm once more in the hour, if continue to adopt the alarm to report to the police, then the risk greatly increased that appears the false alarm sets up reserve alarm module and replaces the alarm this moment, reduces the false alarm risk.
Optionally, the standby alarm assembly comprises a first electric control switch, a standby alarm and a second electric control switch, the standby alarm is in communication connection with the microcomputer host through the first electric control switch, and is electrically connected with the power supply through the second electric control switch, and the false alarm monitoring and processing module respectively controls the execution actions of the first electric control switch and the second electric control switch.
Optionally, the first electric control switch and the second electric control switch are in a normally closed state, and when the main control circuit board judges that the alarm breaks down, the false alarm monitoring and handling module respectively controls the first electric control switch and the second electric control switch to be in an open state.
In summary, the present invention includes at least one of the following beneficial technical effects:
the invention can provide an intelligent fire alarm system for building floors, which is added with a data preprocessing module and a false alarm monitoring and processing module on the basis of the traditional intelligent fire alarm system, wherein the data preprocessing module screens abnormal data, improves the accuracy of fire alarm, avoids false alarm caused by abnormal sensors, can reduce the data processing capacity of a microcomputer host, ensures the running state of the microcomputer host and prolongs the service life of the microcomputer host;
the false alarm monitoring and handling module judges whether false alarm occurs to the alarm or not, and executes handling means of the alarm action of the shut-down alarm, so that normal fire alarm is not influenced, the alarm can be restored within a short time after the shut-down, if false alarm is not continued after the restoration, the false alarm risk is relieved, if false alarm is continued, the false alarm can be solved by using a standby alarm device, manual intervention and other modes, and the influence of the false alarm caused by the fault of an electric device on normal life of residents is greatly reduced.
Drawings
FIG. 1 is a schematic diagram of the connection principle of electrical devices of the intelligent fire alarm system for building floors;
FIG. 2 is a schematic diagram of the electrical device connection principle of the sensor module and the data preprocessing module of the present invention;
fig. 3 is a schematic diagram of the connection principle of the electrical devices of the microcomputer host, the alarm and the false alarm monitoring and handling module of the present invention.
Reference numerals illustrate: 1. a sensor module; 11. a smoke sensor; 12. a temperature sensor; 13. a carbon dioxide concentration sensor; 14. an independent power supply; 2. a data preprocessing module; 21. an analog input module; 22. preprocessing a chip; 23. a communication switch; 3. a data acquisition module; 4. a microcomputer host; 5. an alarm; 61. a main control circuit board; 62. a microphone module; 63. a voice recognition chip; 64. a data transmission module; 65. an alarm electric control switch; 7. a standby alarm assembly; 71. a first electrically controlled switch; 72. a standby alarm; 73. a second electrically controlled switch; 100. and a remote command center.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The embodiment of the invention discloses an intelligent fire alarm system for building floors.
Referring to fig. 1-3, embodiment 1, an intelligent fire alarm system for building floors, which comprises a plurality of sensor modules 1, a data preprocessing module 2 consistent with the number of the sensor modules 1, a data acquisition module 3, a microcomputer host 4, an alarm 5 and an AI chip-based false alarm monitoring and processing module, wherein the sensor modules 1 are respectively arranged at floor channels and used for detecting fire characteristic data, the fire characteristic data comprises smoke concentration, temperature and carbon dioxide concentration, the sensor modules 1 are in communication connection with the microcomputer host 4 through the data acquisition module 3, the data preprocessing module 2 is in communication connection with a signal output end of the sensor modules 1, and is used for analyzing data acquired by the sensor modules 1 and controlling the transmission of the sensor modules 1 and the data acquisition module 3, the microcomputer host 4 judges whether fire risks exist according to the fire characteristic data, if judging that the fire risks exist, the alarm 5 is controlled to alarm, the false alarm monitoring and processing module is respectively in communication connection with the data preprocessing module 2, the microcomputer host 4 and the alarm 5, when the alarm 5 is monitored to be powered on, the data preprocessing module 2 and the microcomputer host 4 are compared, if the data is in communication connection with the data preprocessing module and the data, the false alarm 5 is judged to be in a far-end, and if the false alarm information is recorded, the false alarm is transmitted, and if the false alarm is judged to the false alarm is 100.
The intelligent fire alarm system is generally arranged and can run for a long time under normal conditions, faults of the sensor and the alarm can not be avoided in the long-time running process, and the faults can cause false alarms, and trouble is caused to normal situation life.
The intelligent fire alarm system is characterized in that a data preprocessing module 2 and a false alarm monitoring and processing module are added on the basis of a traditional intelligent fire alarm system, wherein the data preprocessing module 2 plays a role in preprocessing data acquired by the sensor module 1, firstly, abnormal data are screened, false alarms caused by abnormal sensors are avoided, and the accuracy of fire alarm is improved; secondly, the data processing capacity of the microcomputer host 4 is reduced, the running state of the microcomputer host 4 is ensured, and the service life of the microcomputer host 4 is prolonged;
the false alarm monitoring and handling module can judge whether false alarm occurs to the alarm 5 or not through data acquisition and monitoring of the data preprocessing module 2, the microcomputer host 4 and the alarm 5, and execute a handling means of the alarm action of shutting down the alarm 5, so that normal fire alarm is not affected, recovery can be carried out in a short time after shutting down, if false alarm is not continued after recovery, false alarm risk is relieved, and if false alarm is continued, a standby alarm device, manual intervention and other modes can be used for solving the false alarm.
The technical defect that the traditional intelligent fire alarm system cannot automatically handle false alarms is overcome, and negative influence of the false alarms on normal life of residents is reduced as much as possible.
In embodiment 2, the sensor module 1 includes three smoke sensors 11, three temperature sensors 12 and three carbon dioxide concentration sensors 13 and a plurality of independent power supplies 14, smoke sensing positions, temperature sensing positions and carbon dioxide concentration sensing positions are set at the floor passages, the three smoke sensors 11 are respectively arranged at the smoke sensing positions side by side, the three temperature sensors 12 are respectively arranged at the temperature sensing positions side by side, the three carbon dioxide concentration sensors 13 are respectively arranged at the carbon dioxide concentration sensing positions side by side, the plurality of independent power supplies 14 respectively supply power to the smoke sensors 11, the temperature sensors 12 and the carbon dioxide concentration sensors 13, the data preprocessing module 2 includes an analog input module 21, a preprocessing chip 22 and a plurality of communication switches 23, analog signal output ends of the three smoke sensors 11, the three temperature sensors 12 and the three carbon dioxide concentration sensors 13 are respectively connected with the preprocessing chip 22 through the analog input module 21, the three temperature sensors 11, the three temperature sensors 12 and the three carbon dioxide concentration sensors 13 are respectively connected with the preprocessing chip 3 through the communication switches 23, and the data preprocessing chip 23 are respectively connected with the data acquisition module 3 through the communication switches 23 to realize the communication acquisition of the data input of the smoke sensors 11 and the data preprocessing chip 3.
In embodiment 3, the specific operation steps of the data preprocessing module 2 for analyzing the data collected by the sensor module 1 are as follows:
the three smoke sensors 11 are respectively numbered as S1, S2 and S3, the three temperature sensors 12 are respectively numbered as T1, T2 and T3, the three carbon dioxide concentration sensors 13 are respectively numbered as C1, C2 and C3, and the smoke concentration data measured by the S1, S2 and S3 are respectively smoke1, smoke2 and smoke3; temperature data measured by T1, T2 and T3 are temp1, temp2 and temp3, and carbon dioxide concentration data measured by C1, C2 and C3 are carbon1, carbon2 and carbon3;
the preprocessing chip 22 picks out abnormal values in the sms 1, the sms 2 and the sms 3, temp1, temp2 and temp3, the abnormal values refer to data with the difference degree of data being more than 20%, the preprocessing chip 22 controls the communication switch 23 of the sensor corresponding to the abnormal value to be disconnected, if the difference degree of the three values is more than 20%, the sensor module abnormality is output to the false alarm monitoring and handling module, and the preprocessing chip 22 records the information of the sensor corresponding to the abnormal value and transmits the information to the far-end command center 100.
In actual operation, the data obtained by the data preprocessing module 2 at each monitoring moment is three, so that the three data can be subjected to differential analysis, if one sensor fails, the abnormal value can be simply compared with the differential value in the three data, the abnormal value is selected and then corresponds to the number of the sensor, the judgment of the sensor failure can be realized, the sensor failure can be cut off by matching with the on-off of the communication switch 23, the information of the sensor corresponding to the abnormal value is recorded by the preprocessing chip 22 and transmitted to the far-end command center 100, the failed sensor can be replaced according to the record when the subsequent staff overhauls, and the two remaining normal sensors can also normally provide fire characteristic monitoring data;
if the three data have larger differences, the judgment of which data is abnormal cannot be performed, the abnormal result of the sensor module is output to the false alarm monitoring and processing module, and the false alarm monitoring and processing module can also disconnect the alarm 5 to avoid that the alarm 5 is always in an alarm state;
the abnormal sensor can be temporarily removed, and the remote command center 100 can be manually overhauled in time.
In example 4, the alarm 5 is an audible and visual alarm.
The false alarm monitoring and handling module comprises a main control circuit board 61 based on an AI chip, a microphone module 62, a voice recognition chip 63 and a data transmission module 64, wherein the microphone module 62 is arranged on one side of the alarm 5 and is used for collecting alarm sounds sent by the alarm 5, the microphone module 62 is in communication connection with the voice recognition chip 63, the voice recognition chip 63 is used for judging whether the alarm 5 alarms or not and transmitting judgment results to the main control circuit board 61, the main control circuit board 61 is respectively in communication connection with the data preprocessing module 2 and the microcomputer host 4 through the data transmission module 64 and is used for collecting whether the microcomputer host 4 sends alarm instructions or not, if the voice recognition chip 63 recognizes that the alarm 5 sends an alarm, and meanwhile, the microcomputer host 4 does not send the alarm instructions, the false alarm is judged to appear, the false alarm monitoring and handling module controls the alarm 5 to be powered off, and the main control circuit board 61 transmits false alarm data packets to the far-end command center 100.
The false alarm monitoring and handling module collects alarm information of the alarm 5 and is not based on working signals of the alarm 5, when the alarm 5 fails, a control signal of the false alarm monitoring and handling module possibly cannot represent whether the false alarm monitoring and handling module alarms, the physical microphone module 62 is adopted to directly collect alarm sound of the alarm 5 and identify the alarm sound through the voice recognition chip 63, because the microphone module 62 is arranged close to the alarm 5, the voice recognition chip 63 is very reliable in identifying whether the alarm sound occurs or not, false judgment basically does not occur, when the voice recognition chip 63 judges that the alarm 5 alarms, and when a microcomputer host 4 collected by the main control circuit board 61 through the data transmission module 64 outputs signals and does not have alarm execution signals, the false alarm of the alarm 5 can be considered, at the moment, power-off handling is needed to be adopted for the alarm 5, meanwhile, false alarm data packets are transmitted to the far-end command center 100, and staff should overhaul as soon as possible.
In embodiment 5, the false alarm monitoring and handling module further comprises an alarm electric control switch 65, the alarm 5 is connected to a power supply through the alarm electric control switch 65, and the main control circuit board 61 realizes the power-off reset operation of the alarm 5 by controlling the switching action of the alarm electric control switch 65.
Whether the alarm 5 is powered off or not is realized by means of the execution action of the electric control switch 65 of the alarm, and automatic disposal of false alarm of the alarm 5 is realized.
After the duration of the power-off reset operation is 10-30 seconds, the main control circuit board 61 controls the alarm electric control switch 65 to switch on the power supply of the alarm 5.
Because the normal fire monitoring alarm function of the intelligent fire alarm system cannot be disturbed, after the alarm 5 is powered off, power supply needs to be restored after 10-30 seconds, preferably 10 seconds, so as to eliminate redundant faults of some electronic components.
In embodiment 6, the false alarm monitoring and handling module further includes a standby alarm component 7, if the false alarm monitoring and handling module monitors that the alarm 5 has false alarm again within 24 hours after the alarm 5 resumes power supply, after judging that the alarm 5 has a fault, the main control circuit board 61 disconnects the power supply of the alarm 5 by controlling the alarm electric control switch 65, and accesses the standby alarm component 7 to the microcomputer host 4.
The setting of reserve alarm module 7 is in order to cut off the power supply and reset the operation back, under the condition of the false alarm appears again in 24 hours, if continue to adopt alarm 5 to report to the police, then the risk of false alarm appears greatly increased, sets up reserve alarm module 7 and replaces alarm 5 this moment, reduces the false alarm risk.
In embodiment 7, the standby alarm assembly 7 includes a first electric control switch 71, a standby alarm 72 and a second electric control switch 73, the standby alarm 72 is in communication connection with the microcomputer host 4 through the first electric control switch 71, and is electrically connected with the power supply through the second electric control switch 73, and the false alarm monitoring and handling module controls the execution actions of the first electric control switch 71 and the second electric control switch 73 respectively.
The first electric control switch 71 and the second electric control switch 73 are in a normally closed state, and when the main control circuit board 61 judges that the alarm 5 fails, the false alarm monitoring and handling module controls the first electric control switch 71 and the second electric control switch 73 to be in an open state respectively.
The above embodiments are not intended to limit the scope of the present invention, and therefore: all equivalent changes in structure, shape and principle of the invention should be covered in the scope of protection of the invention.
Claims (8)
1. An intelligent fire alarm system of building floor, its characterized in that: the intelligent monitoring system comprises a plurality of sensor modules (1), a data preprocessing module (2) which is consistent with the sensor modules (1) in number, a data acquisition module (3), a microcomputer host (4), an alarm (5) and an AI chip-based false alarm monitoring treatment module, wherein the sensor modules (1) are respectively arranged at a floor channel and used for detecting fire characteristic data, the fire characteristic data comprise smoke concentration, temperature and carbon dioxide concentration, the sensor modules (1) are in communication connection with the microcomputer host (4) through the data acquisition module (3), the data preprocessing module (2) is in communication connection with a signal output end of the sensor modules (1) and used for analyzing data acquired by the sensor modules (1) and controlling transmission of the sensor modules (1) and the data acquisition module (3), the microcomputer host (4) judges whether fire risks exist according to the fire characteristic data, if the fire risks exist, the false alarm monitoring treatment module (5) is controlled to alarm, the false alarm treatment module is respectively in communication connection with the data preprocessing module (2), the microcomputer host (4) and the false alarm information (5) is compared with the false alarm information when the false alarm information is recorded by the microcomputer host (4), the alarm action of the alarm (5) is stopped, and a false alarm data packet is transmitted to the remote command center (100);
the sensor module (1) comprises three smoke sensors (11), three temperature sensors (12) and three carbon dioxide concentration sensors (13) and a plurality of independent power supplies (14), smoke sensing positions, temperature sensing positions and carbon dioxide concentration sensing positions are arranged at floor channels, the three smoke sensors (11) are respectively arranged at the smoke sensing positions side by side, the three temperature sensors (12) are respectively arranged at the temperature sensing positions side by side, the three carbon dioxide concentration sensors (13) are respectively arranged at the carbon dioxide concentration sensing positions side by side, the plurality of independent power supplies (14) respectively supply power for the smoke sensors (11), the temperature sensors (12) and the carbon dioxide concentration sensors (13), the data preprocessing module (2) comprises an analog quantity input module (21), a preprocessing chip (22) and a plurality of communication switches (23), analog signal output ends of the three smoke sensors (11), the three temperature sensors (12) and the three carbon dioxide concentration sensors (13) are respectively connected with the preprocessing chip (22) through the analog quantity input module (21), the three temperature sensors (12) and the three carbon dioxide concentration sensors (13) are respectively connected with the preprocessing chip (23) through the analog quantity input module (21) and the three carbon dioxide concentration sensors (12) respectively, the selection of a smoke sensor (11), a temperature sensor (12) and a carbon dioxide concentration sensor (13) which are connected to the data acquisition module (3) is realized through the on-off of a communication switch (23);
the specific operation steps of the data preprocessing module (2) for analyzing the collected data of the sensor module (1) are as follows:
the three smoke sensors (11) are respectively numbered as S1, S2 and S3, the three temperature sensors (12) are respectively numbered as T1, T2 and T3, the three carbon dioxide concentration sensors (13) are respectively numbered as C1, C2 and C3, and the smoke concentration data measured by the S1, S2 and S3 are respectively numbered as smoke1, smoke2 and smoke3; temperature data measured by T1, T2 and T3 are temp1, temp2 and temp3, and carbon dioxide concentration data measured by C1, C2 and C3 are carbon1, carbon2 and carbon3;
the preprocessing chip (22) picks out abnormal values in the sms 1, the sms 2 and the sms 3, and the temp1, the temp2 and the temp3 respectively, wherein the abnormal values refer to data with the difference degree of data being more than 20%, the preprocessing chip (22) controls a communication switch (23) of a sensor corresponding to the abnormal value to be disconnected, if the difference degree of the three values is more than 20%, the sensor module abnormality is output to the false alarm monitoring and handling module, and the preprocessing chip (22) records information of the sensor corresponding to the abnormal value and transmits the information to the far-end command center (100).
2. The intelligent fire alarm system for building floors of claim 1, wherein: the alarm (5) is an audible and visual alarm.
3. The intelligent fire alarm system for building floors of claim 2, wherein: the false alarm monitoring and handling module comprises a main control circuit board (61) based on an AI chip, a microphone module (62), a voice recognition chip (63) and a data transmission module (64), wherein the microphone module (62) is arranged on one side of the alarm (5) and is used for collecting alarm sounds sent by the alarm (5), the microphone module (62) is in communication connection with the voice recognition chip (63), the voice recognition chip (63) is used for judging whether the alarm (5) alarms or not and transmitting a judging result to the main control circuit board (61), the main control circuit board (61) is respectively in communication connection with the data preprocessing module (2) and the microcomputer host (4) through the data transmission module (64), whether the microcomputer host (4) sends alarm instructions or not is collected, if the voice recognition chip (63) recognizes that the alarm (5) sends alarm instructions, and meanwhile, the microcomputer host (4) does not send alarm instructions, then judges that false alarms occur, the false alarm monitoring and handling module controls the alarm (5) to be powered off, and the main control circuit board (61) transmits false alarm data packets to a far-end command center (100).
4. A building floor intelligent fire alarm system according to claim 3, wherein: the false alarm monitoring and handling module further comprises an alarm electric control switch (65), the alarm (5) is connected to a power supply through the alarm electric control switch (65), and the main control circuit board (61) is used for realizing power-off reset operation of the alarm (5) by controlling the switching action of the alarm electric control switch (65).
5. The intelligent fire alarm system for building floors as recited in claim 4, wherein: the duration of the power-off reset operation is 10-30 seconds, and the main control circuit board (61) controls the electric control switch (65) of the alarm to switch on the power supply of the alarm (5).
6. The intelligent fire alarm system for building floors as recited in claim 5, wherein: the false alarm monitoring and handling module further comprises a standby alarm component (7), if the false alarm monitoring and handling module monitors that the alarm (5) has false alarm again within 24 hours after the alarm (5) is powered back, after judging that the alarm (5) has faults, the main control circuit board (61) cuts off the power supply of the alarm (5) by controlling the electric control switch (65) of the alarm, and the standby alarm component (7) is connected to the microcomputer host (4).
7. The intelligent fire alarm system for building floors as recited in claim 6, wherein: the standby alarm assembly (7) comprises a first electric control switch (71), a standby alarm (72) and a second electric control switch (73), wherein the standby alarm (72) is in communication connection with the microcomputer host (4) through the first electric control switch (71), is electrically connected with a power supply through the second electric control switch (73), and the false alarm monitoring and treatment module respectively controls execution actions of the first electric control switch (71) and the second electric control switch (73).
8. The intelligent fire alarm system for building floors of claim 7, wherein: the first electric control switch (71) and the second electric control switch (73) are in normally closed states, and when the main control circuit board (61) judges that the alarm (5) fails, the false alarm monitoring and treating module respectively controls the first electric control switch (71) and the second electric control switch (73) to be in open states.
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