CN112509269A - Wireless fire alarm system - Google Patents
Wireless fire alarm system Download PDFInfo
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- CN112509269A CN112509269A CN202011194593.1A CN202011194593A CN112509269A CN 112509269 A CN112509269 A CN 112509269A CN 202011194593 A CN202011194593 A CN 202011194593A CN 112509269 A CN112509269 A CN 112509269A
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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
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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Abstract
The invention relates to the technical field of fire fighting, in particular to a wireless fire alarm system, which comprises a monitoring end, a server and a management end, wherein the monitoring end is connected with the server; the monitoring end comprises a smoke acquisition unit and a thermal imaging unit, and the smoke acquisition unit is used for acquiring the environmental smoke concentration and sending the environmental smoke concentration to the server; the server is used for judging whether a fire exists according to the received smoke concentration, sending an early warning signal to the management terminal when the fire exists, and sending a detection signal to the monitoring terminal; the monitoring end is also used for starting the thermal imaging unit and sending the detection data to the server after receiving the detection signal; the server is also used for analyzing whether a fire exists according to the feedback data of the thermal imaging unit, and sending an alarm signal to the management terminal when the analysis result shows that the fire exists; and when the analysis result is that the early warning cancellation signal does not exist, the server sends an early warning cancellation signal to the management terminal. By using the system, the condition that the working personnel do too much idle work due to false alarm can be effectively avoided.
Description
Technical Field
The invention relates to the technical field of fire fighting, in particular to a wireless fire alarm system.
Background
In order to discover the fire in time to cope with it, fire alarm systems have emerged.
The current mainstream fire alarm system mainly detects smoke through a smoke sensor, and alarms when the smoke concentration detected by the smoke sensor is abnormal. By using the fire alarm system, when the smoke concentration is abnormal, namely a fire disaster occurs or a fire disaster risk exists, the system can automatically alarm and can be timely processed.
However, if the fire alarm system is continuously effective, firstly, whether the sensor continuously and normally works is to be determined, and if the sensor is abnormal, the feedback data is inaccurate, and the system is easy to generate a false alarm; secondly, the source of the smoke is also seen, if people perform actions such as smoking around the sensor, the detection data of the sensor is also abnormal, and further false alarm occurs. Further causing the staff to do much useless work and even falsely alarm the fire.
Therefore, there is a need for a wireless fire alarm system that effectively avoids the above-mentioned problems.
Disclosure of Invention
The invention aims to provide a wireless fire alarm system which can effectively avoid the situation that a worker does too much idle work due to false alarm.
The basic scheme provided by the invention is as follows:
a wireless fire alarm system comprises a monitoring end, a server and a management end;
the monitoring end comprises a smoke acquisition unit and a thermal imaging unit, and the smoke acquisition unit is used for acquiring the environmental smoke concentration and sending the environmental smoke concentration to the server; the server is used for judging whether a fire exists according to the received smoke concentration, sending an early warning signal to the management terminal when the fire exists, and sending a detection signal to the monitoring terminal;
the monitoring end is also used for starting the thermal imaging unit and sending the detection data to the server after receiving the detection signal; the server is also used for analyzing whether a fire exists according to the feedback data of the thermal imaging unit, and sending an alarm signal to the management terminal when the analysis result shows that the fire exists; and when the analysis result is that the early warning cancellation signal does not exist, the server sends an early warning cancellation signal to the management terminal.
Basic scheme theory of operation and beneficial effect:
the smog collection unit of control end detects environment smog concentration and sends for the server, when the smog concentration that detects surpassed the default, sends early warning signal for the management end, lets the staff know the condition, in time carries out relevant preparation. Meanwhile, the server sends a verification signal to the monitoring end, the thermal imaging unit is started, the on-site thermal imaging data are collected and sent to the server, and the server can verify whether the fire (fire or hidden danger) really appears according to the feedback data of the thermal imaging unit.
When the smoke sensor works normally and a fire indeed exists, the server sends an alarm signal to the management terminal, and feedback data of the thermal imaging unit can also carry out more comprehensive and accurate supplementary explanation on the condition of the fire. When the smoke sensor is in failure, the feedback data is abnormal, or the smoke is drawn around the smoke sensor artificially, an early warning cancellation signal is sent to the management end, so that the staff can know the real situation in time, and excessive useless work caused by wrong early warning is avoided.
Meanwhile, the thermal imaging unit is started only when a fire or hidden danger is suspected to appear, so that electric energy can be saved.
By using the system, the condition that the working personnel do too much idle work due to false alarm can be effectively avoided.
Further, when the server analyzes that the fire result does not exist according to the feedback data of the thermal imaging unit, the server also analyzes an abnormal reason according to the feedback data of the thermal imaging unit and sends the abnormal reason to the management terminal.
When no actual fire exists, through analysis (heat distribution and the like) of feedback data of the thermal imaging unit, whether the false alarm is caused by the problem of the smoke sensor or the artificial smoking around the smoke sensor can be known. The server sends the analysis result to the management terminal, and the staff can perform targeted subsequent processing according to the analysis result.
Furthermore, the monitoring terminal also comprises a playing unit, when the server analyzes the abnormal reason, when the abnormal reason is an artificial reason, the server also sends a warning signal to the monitoring terminal, and after the monitoring terminal receives the warning signal, the playing unit plays the prestored warning voice.
When the abnormal reason is that the manufactured smoke is considered, the fact that a person smokes or manufactures other smoke in the vicinity of the monitoring end is indicated, and the smoke manufacturer can know the problem of the person and stop the error behavior through the pre-stored warning voice (for example, for the safety of the person and other people, do not smoke or manufacture other smoke).
Further, when the server management end sends the alarm signal, the server management end also sends a fire alarm signal to a fire department system.
When the fire is confirmed, the server automatically gives an alarm to a fire department, and fire fighters can arrive at the scene as soon as possible and deal with the fire.
Furthermore, a plan is stored in the server, and when the server sends an alarm signal to the management end, the server also sends the plan to the management end.
The staff can know which cautions are available when fire occurs, and can know the emergency work which can be done before the fire department arrives.
Furthermore, the number of the monitoring ends is multiple, the installation positions of the monitoring ends are stored in the server, and the early warning signal comprises the occurrence place of the suspected fire.
The server can know the occurrence place of the suspected fire by feeding back the installation position of the monitoring end with abnormal data. When the fire is confirmed, the worker can arrive at the scene quickly, and when the fire is confirmed to be absent, the worker can arrive at the scene accurately, and the smoke collection unit is replaced or the people causing the false alarm are educated.
Furthermore, a plurality of management ends are provided, a scheduling list of each management end is stored in the server, and the monitoring end sends an early warning signal to the management end on duty according to the scheduling list.
And the staff receiving the early warning signal is ensured to be in a working state.
Further, the server is a cloud server.
Compared with a local server, the performance price ratio of the cloud server is higher.
Further, the management end is a smart phone loaded with the corresponding APP.
Is convenient to carry about.
Further, the smoke collection unit is a smoke sensor.
Drawings
Fig. 1 is a logic block diagram of a first embodiment of a wireless fire alarm system according to the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, a wireless fire alarm system includes a monitoring end, a management end and a server.
The monitoring end comprises a smoke acquisition unit and a thermal imaging unit, the smoke acquisition unit can adopt a smoke sensor, and the thermal imaging unit can be realized by using the existing thermal imaging acquisition device. In this embodiment, the server is a Tencent cloud server. The management end is a smart phone loaded with a corresponding APP, and communicates with the server through the 5G module.
The smoke collection unit is used for collecting the environmental smoke concentration and sending the environmental smoke concentration to the server; the server is used for judging whether a fire exists according to the received smoke concentration, and when the fire exists, sending an early warning signal to the management terminal and sending a detection signal to the monitoring terminal.
The monitoring end is also used for starting the thermal imaging unit and sending the detection data to the server after receiving the detection signal; the server is also used for analyzing whether a fire exists according to the feedback data of the thermal imaging unit, and sending an alarm signal to the management terminal and sending a fire alarm signal to a fire department system when the analysis result shows that the fire exists; and when the analysis result is that the abnormal reason is not existed, the server sends an early warning cancellation signal to the management end, analyzes the abnormal reason according to the feedback data of the thermal imaging unit and sends the abnormal reason to the management end.
The server stores the predetermined plan, and when sending the alarm signal to the management terminal, the server also sends the predetermined plan to the management terminal. Through the scheme, the staff can know which cautions are available when a fire occurs, and can know the emergency work which can be done before the fire department arrives. The monitoring terminal also comprises a playing unit, when the server analyzes the abnormal reason and the abnormal reason is an artificial reason, the server also sends a warning signal to the monitoring terminal, and after the monitoring terminal receives the warning signal, the playing unit plays the prestored warning voice.
The specific implementation process is as follows:
the smog collection unit of control end detects environment smog concentration and sends for the server, when the smog concentration that detects surpassed the default, sends early warning signal for the management end, lets the staff know the condition, in time carries out relevant preparation. Meanwhile, the server sends a verification signal to the monitoring end, the thermal imaging unit is started, the on-site thermal imaging data are collected and sent to the server, and the server can verify whether the fire (fire or hidden danger) really appears according to the feedback data of the thermal imaging unit.
When the smoke sensor works normally and a fire indeed exists, the server sends an alarm signal to the management terminal, and feedback data of the thermal imaging unit can also carry out more comprehensive and accurate supplementary explanation on the condition of the fire. The server also automatically gives an alarm to the fire department, so that the fire fighters can arrive at the scene as soon as possible and deal with the fire.
When the smoke sensor is out of order, feedback data is abnormal, or actions such as artificial smoke extraction around the smoke sensor are carried out, an early warning cancellation signal is sent to the management end, workers can know real conditions in time, excessive useless power removal caused by wrong early warning is avoided, and the server can also know whether the false alarm is caused by the fact that the smoke sensor has problems or the actions such as artificial smoke extraction around the smoke sensor through analysis (heat distribution conditions and the like) of the feedback data of the thermal imaging unit. And the analysis result is sent to the management terminal, and the staff can carry out targeted subsequent processing according to the analysis result.
When the abnormal reason is that the manufactured smoke is considered, the fact that a person smokes or manufactures other smoke in the vicinity of the monitoring end is indicated, and the smoke manufacturer can know the problem of the person and stop the error behavior through the pre-stored warning voice (for example, for the safety of the person and other people, do not smoke or manufacture other smoke).
Example two
Different from the first embodiment, in the present embodiment, there are a plurality of monitoring terminals, the server stores therein the installation locations of the monitoring terminals, and the warning signal includes the location of the suspected fire. In addition, in this embodiment, there are a plurality of management terminals, a shift schedule of each management terminal is stored in the server, and the monitoring terminal sends an early warning signal to the management terminal on the current shift according to the shift schedule.
The server can know the occurrence place of the suspected fire by feeding back the installation position of the monitoring end with abnormal data. When the fire is confirmed, the worker can arrive at the scene quickly, and when the fire is confirmed to be absent, the worker can arrive at the scene accurately, and the smoke collection unit is replaced or the people causing the false alarm are educated. The early warning signal is sent through the scheduling list, so that the staff receiving the early warning signal can be ensured to be in a working state.
EXAMPLE III
Compared with the first embodiment, in the present embodiment, there are two groups of thermal imaging units at each monitoring end. The server is further used for opening one group of thermal imaging units when the received smoke concentration is higher than a preset value, the server analyzes the collected pictures of the thermal imaging units, and when the analysis result shows that no fire exists, whether preset hidden danger contents exist or not is analyzed according to the collected pictures of the thermal imaging units, wherein the hidden danger contents comprise that the non-extinguished cigarette end is beside a combustible material and an electric arc phenomenon exists.
The server stores the position of each monitoring terminal and a topographic map of a monitoring area of each monitoring terminal; and when the analysis result of the server indicates that hidden danger content exists, the other group of thermal imaging units is opened, and the server analyzes the specific position of the hidden danger content according to the collected images of the two groups of imaging thermal imaging units.
The monitoring end still includes miniature cloud platform and laser pen, and the laser pen is fixed on miniature cloud platform, and miniature cloud platform is the cloud platform that can upper and lower left and right sides free rotation. The management terminal is also used for sending an indication signal to the server; the server is also used for sending a prompt signal to the monitoring end after receiving the indication signal; and the monitoring end is also used for controlling the laser pen to be started and controlling the holder to rotate after receiving the prompt signal, so that the light beam of the laser pen is shot at the specific position of the hidden danger content.
The specific implementation process is as follows:
when the smoke concentration is too high, but no fire exists after analysis, the fire hazard may still exist. Therefore, the server also analyzes whether preset hidden danger contents exist according to the collected pictures of the working thermal imaging unit, such as the non-extinguished cigarette end beside the combustible and the electric arc phenomenon. The existence of these hazards, while not immediately causing a fire, and not hundreds of fires, carries the risk of causing a fire. Therefore, there is still a need to remove these concerns.
However, although only one group of thermal imaging units can find the hidden trouble, due to the limitation of depth of field, the picture is two-dimensional instead of three-dimensional, the specific position of the hidden trouble cannot be analyzed, and the workers may not easily find the hidden trouble. Therefore, when the hidden danger is found, the other group of thermal imaging units is opened, and the server analyzes the specific position of the hidden danger according to the collected images of the two groups of imaging thermal imaging units.
After the staff arrives at the area where the monitoring end where the hidden danger is found, the problem that the specific position of the hidden danger is difficult to find exists, at the moment, the staff can send an indicating signal to the server through the management end, and when the server receives the indicating signal, the server sends a prompting signal to the monitoring end; and after the monitoring end receives the prompt signal, the laser pen is controlled to be started and the holder is controlled to rotate, so that the light beam of the laser pen is shot at the specific position of the hidden danger.
Through the instruction of the laser pen, the staff can easily find the specific position of the hidden danger and take corresponding measures to remove the hidden danger in time.
Meanwhile, because hidden dangers do not always exist, only one group of thermal imaging units is opened before the hidden dangers are found, and energy can be saved.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A wireless fire alarm system is characterized in that: the system comprises a monitoring end, a server and a management end;
the monitoring end comprises a smoke acquisition unit and a thermal imaging unit, and the smoke acquisition unit is used for acquiring the environmental smoke concentration and sending the environmental smoke concentration to the server; the server is used for judging whether a fire exists according to the received smoke concentration, sending an early warning signal to the management terminal when the fire exists, and sending a detection signal to the monitoring terminal;
the monitoring end is also used for starting the thermal imaging unit and sending the detection data to the server after receiving the detection signal; the server is also used for analyzing whether a fire exists according to the feedback data of the thermal imaging unit, and sending an alarm signal to the management terminal when the analysis result shows that the fire exists; and when the analysis result is that the early warning cancellation signal does not exist, the server sends an early warning cancellation signal to the management terminal.
2. The wireless fire alarm system of claim 1, wherein: and when the server analyzes that the fire result does not exist according to the feedback data of the thermal imaging unit, analyzing an abnormal reason according to the feedback data of the thermal imaging unit and sending the abnormal reason to the management terminal.
3. The wireless fire alarm system of claim 2, wherein: the monitoring terminal also comprises a playing unit, when the server analyzes the abnormal reason and the abnormal reason is an artificial reason, the server also sends a warning signal to the monitoring terminal, and after the monitoring terminal receives the warning signal, the playing unit plays the prestored warning voice.
4. The wireless fire alarm system of claim 1, wherein: the server stores the predetermined plan, and when sending the alarm signal to the management terminal, the server also sends the predetermined plan to the management terminal.
5. The wireless fire alarm system of claim 1, wherein: and when the server management end sends the alarm signal, the server management end also sends a fire alarm signal to a fire department system.
6. The wireless fire alarm system of claim 1, wherein: the monitoring terminals are multiple, the installation positions of the monitoring terminals are stored in the server, and the early warning signal comprises the occurrence place of suspected fire.
7. The wireless fire alarm system of claim 1, wherein: the management end is provided with a plurality of management ends, a scheduling list of each management end is stored in the server, and the monitoring end sends an early warning signal to the management end on duty according to the scheduling list.
8. The wireless fire alarm system of claim 1, wherein: the server is a cloud server.
9. The wireless fire alarm system of claim 1, wherein: the management end is a smart phone loaded with a corresponding APP.
10. The wireless fire alarm system of claim 1, wherein: the smoke collecting unit is a smoke sensor.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112163792A (en) * | 2020-10-30 | 2021-01-01 | 重庆电子工程职业学院 | Method and system for intelligently managing equipment in training place |
CN113570808A (en) * | 2021-07-08 | 2021-10-29 | 郑州海为电子科技有限公司 | Wireless smoke detector based on ZYNQ7020 |
CN113706814A (en) * | 2021-08-10 | 2021-11-26 | 成都迪沃航空科技有限公司 | Controllable intelligent driving module |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07182579A (en) * | 1993-12-22 | 1995-07-21 | Hochiki Corp | Fire sensor |
CN104732704A (en) * | 2013-12-21 | 2015-06-24 | 李淑华 | Intelligent smoke alarm and working method thereof |
CN108305188A (en) * | 2018-03-20 | 2018-07-20 | 郭树军 | The dining in the wisdom clean energy resource dining room based on artificial intelligence manages system |
CN207650963U (en) * | 2017-12-01 | 2018-07-24 | 国网安徽省电力公司淮北供电公司 | A kind of fire hazard point location circuit and position indicator |
CN109254303A (en) * | 2018-09-19 | 2019-01-22 | 绵阳紫蝶科技有限公司 | Power line corridor fast inspection system and method based on laser scanning guidance |
CN109255408A (en) * | 2018-06-27 | 2019-01-22 | 华中科技大学 | A kind of Construction Safety hidden troubles removing method for positioning and taking pictures based on electronic beacon |
CN109584759A (en) * | 2019-01-31 | 2019-04-05 | 黄山商维网络科技有限公司 | A kind of advertisement display and its detection method of smoking |
CN209132918U (en) * | 2018-11-30 | 2019-07-19 | 合肥京安自动化系统有限公司 | A kind of building smoke alarm unit monitored |
CN110427022A (en) * | 2019-07-08 | 2019-11-08 | 武汉科技大学 | A kind of hidden fire-fighting danger detection robot and detection method based on deep learning |
CN209691077U (en) * | 2018-12-24 | 2019-11-26 | K11集团有限公司 | Smoke alarm system |
CN110665159A (en) * | 2019-10-08 | 2020-01-10 | 西南科技大学 | Novel high-rise building fire extinguishing system |
CN111354148A (en) * | 2020-03-11 | 2020-06-30 | 中国石化销售股份有限公司华南分公司 | Automatic positioning detection system of inspection robot and detection object positioning method |
-
2020
- 2020-10-30 CN CN202011194593.1A patent/CN112509269A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07182579A (en) * | 1993-12-22 | 1995-07-21 | Hochiki Corp | Fire sensor |
CN104732704A (en) * | 2013-12-21 | 2015-06-24 | 李淑华 | Intelligent smoke alarm and working method thereof |
CN207650963U (en) * | 2017-12-01 | 2018-07-24 | 国网安徽省电力公司淮北供电公司 | A kind of fire hazard point location circuit and position indicator |
CN108305188A (en) * | 2018-03-20 | 2018-07-20 | 郭树军 | The dining in the wisdom clean energy resource dining room based on artificial intelligence manages system |
CN109255408A (en) * | 2018-06-27 | 2019-01-22 | 华中科技大学 | A kind of Construction Safety hidden troubles removing method for positioning and taking pictures based on electronic beacon |
CN109254303A (en) * | 2018-09-19 | 2019-01-22 | 绵阳紫蝶科技有限公司 | Power line corridor fast inspection system and method based on laser scanning guidance |
CN209132918U (en) * | 2018-11-30 | 2019-07-19 | 合肥京安自动化系统有限公司 | A kind of building smoke alarm unit monitored |
CN209691077U (en) * | 2018-12-24 | 2019-11-26 | K11集团有限公司 | Smoke alarm system |
CN109584759A (en) * | 2019-01-31 | 2019-04-05 | 黄山商维网络科技有限公司 | A kind of advertisement display and its detection method of smoking |
CN110427022A (en) * | 2019-07-08 | 2019-11-08 | 武汉科技大学 | A kind of hidden fire-fighting danger detection robot and detection method based on deep learning |
CN110665159A (en) * | 2019-10-08 | 2020-01-10 | 西南科技大学 | Novel high-rise building fire extinguishing system |
CN111354148A (en) * | 2020-03-11 | 2020-06-30 | 中国石化销售股份有限公司华南分公司 | Automatic positioning detection system of inspection robot and detection object positioning method |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112163792A (en) * | 2020-10-30 | 2021-01-01 | 重庆电子工程职业学院 | Method and system for intelligently managing equipment in training place |
CN113570808A (en) * | 2021-07-08 | 2021-10-29 | 郑州海为电子科技有限公司 | Wireless smoke detector based on ZYNQ7020 |
CN113706814A (en) * | 2021-08-10 | 2021-11-26 | 成都迪沃航空科技有限公司 | Controllable intelligent driving module |
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Application publication date: 20210316 |