CN118015779B - Ship fire monitoring system - Google Patents
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- CN118015779B CN118015779B CN202410413354.2A CN202410413354A CN118015779B CN 118015779 B CN118015779 B CN 118015779B CN 202410413354 A CN202410413354 A CN 202410413354A CN 118015779 B CN118015779 B CN 118015779B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 42
- 239000000779 smoke Substances 0.000 claims abstract description 88
- 238000002485 combustion reaction Methods 0.000 claims abstract description 28
- 238000007405 data analysis Methods 0.000 claims abstract description 26
- 238000013480 data collection Methods 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims description 42
- 238000007789 sealing Methods 0.000 claims description 16
- 238000002955 isolation Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000013145 classification model Methods 0.000 claims description 3
- 238000009792 diffusion process Methods 0.000 claims description 3
- 230000035945 sensitivity Effects 0.000 claims 1
- 238000000034 method Methods 0.000 description 9
- 239000000126 substance Substances 0.000 description 5
- 239000003795 chemical substances by application Substances 0.000 description 3
- 238000001816 cooling Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
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- 238000004880 explosion Methods 0.000 description 2
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- 230000008569 process Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 241000191291 Abies alba Species 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
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- 230000008859 change Effects 0.000 description 1
- 239000013043 chemical agent Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000004200 deflagration Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000006260 foam Substances 0.000 description 1
- 239000000295 fuel oil Substances 0.000 description 1
- 239000011261 inert gas Substances 0.000 description 1
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- 238000005507 spraying Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
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Abstract
The invention relates to the technical field of ship monitoring systems, and discloses a ship fire monitoring system which comprises a data collection module, a data analysis module, a target identification module and a control module. The ship fire monitoring system collects a data set through a smoke sensor, a laser camera and a temperature sensor, is connected to a data analysis module through a data collection module network, and calculates smoke concentration difference according to a formulaCombustion rateAnd temperature differenceThe numerical value is stored in the target identification module, the fire point azimuth can be rapidly identified while the comprehensive monitoring without dead angles is realized, the smoke concentration and the temperature difference in the cabin exceed the sensitive values, and the combustion rate is comparedThe numerical value immediately checks the cabin image, the fire is found to be rapid, and the target recognition module calculates the occupied ratio of the burnt space in the cabin data setThe control module sets priority according to fire data of the ship, commands the full-power fire extinguishment or evacuation escape, and has high fire extinguishing efficiency.
Description
Technical Field
The invention relates to the technical field of ship monitoring systems, in particular to a ship fire monitoring system.
Background
Marine fires can occur in many places on a ship, depending on the type and use of the ship. Common fires include engine compartments, personnel restrooms, kitchens, and the like. The fire disaster can be caused by high working environment temperature, overload of equipment or short circuit of electric wires of a ship host machine and a ship fuel oil and electric system in an engine cabin. The rest area and the kitchen area of personnel can cause fire by careless fire. When a fire disaster occurs in the sailing process of the ship on water, the disposal difficulty is high due to the limited traffic conditions. The fire is easy to spread and even causes explosion accidents, so that the fire is important to the timely control of the fire source. In order to ensure the life safety of the human body and reduce the property loss, the prevention and control of the fire disaster are enhanced daily, and a reasonable extinguishing scheme is formulated according to the fire disaster with cautions and rigors after the fire disaster occurs. The three elements of combustion are combustible substances, combustion supporting substances and fire sources respectively, and the fire extinguishing method mainly comprises three steps: the cooling and extinguishing method is to spray fire extinguishing agent with cooling and heat absorbing functions, such as water, foam or carbon dioxide, directly onto the object to be ignited, so that the fire extinguishing agent is extinguished after the temperature of the fire extinguishing agent is reduced to the minimum temperature required by combustion; the choking fire extinguishing method is to eliminate the combustion-supporting substances required by combustion by reducing the oxygen concentration or increasing the inert gas concentration or cut off the oxygen supply to extinguish the fire source; chemical fire extinguishing methods are to cover the surface of the combustible material with chemical substances to isolate the combustion material from the air, thereby extinguishing the fire. The three methods are needed to be combined in practical application so as to achieve the aim of quickly and effectively extinguishing fire.
At present, in order to ensure the safety of goods in the transportation process, a video monitoring system and a smoke alarm are installed in a cabin to monitor, and when a plurality of cabins catch fire, personnel cannot quickly analyze all fire conditions, position key fire points and formulate a fire extinguishing scheme.
Disclosure of Invention
(One) solving the technical problems
Aiming at the defects of the prior art, the invention provides a ship fire monitoring system which has the advantages of comprehensive monitoring, no dead angle, high fire extinguishing efficiency and the like, and solves the problem that a plurality of cabins cannot be positioned and formulated quickly to extinguish a fire.
(II) technical scheme
In order to achieve the above purpose, the present invention provides the following technical solutions: the fire monitoring system for the ship comprises a smoke detection unit, a real-time monitoring unit and a temperature detection unit, wherein the smoke detection unit is connected with a data collection module through a network, the real-time monitoring unit is connected with the data collection module through a network, the temperature detection unit is connected with the data collection module through a network, and the data collection module is used for connecting a cabin data set with a data analysis module through a network;
the data analysis module is used for numbering the cabin data sets according to the characteristics of the cabin data sets, the cabin data sets are classified and composed of smoke detection data sets, real-time monitoring image data sets and temperature detection data sets, and the data analysis module is used for numbering the smoke detection data sets Real-time monitoring of image dataset numbering/>And temperature detection dataset number/>Calculate smoke concentration difference/>Burn rate/>And temperature difference/>The numerical value is stored in the target recognition module, and the data analysis module is connected with the target recognition module through a network;
the object recognition module classifies and numbers the object recognition module according to the characteristics of a cabin data set, the cabin data set consists of a driving area data set, a personnel intensive area data set, a functional area data set and a deck area data set, and the driving area data set is numbered The personnel-intensive area dataset is numbered/>The functional area dataset is numbered/>The deck area dataset number is/>The target recognition module is used for detecting the concentration difference/>, by using the smoke concentration differenceBurn rate/>Safety distance area of fire isolation belt/>And the total area of the whole cabin of the hull/>Calculating the burned space occupancy/>, of a single or multiple regions in a cabin data set, according to a formulaThe target identification module is connected with the control module through a network;
The control module consists of a fire extinguishing unit and a sealing unit, and the control module controls the fire extinguishing unit and the sealing unit according to cabin fire data.
Preferably, the smoke detection unit collects cabin smoke concentration values every 10 minutes through the smoke sensor, and sends the collected smoke concentration values to the data analysis module through a network, the real-time monitoring unit collects cabin images in real time through the laser camera, and sends the collected images to the data analysis module through the network, and the temperature detection unit collects cabin temperature values every 30 minutes through the temperature sensor, and sends the collected temperature values to the data analysis module through the network.
Preferably, the data analysis module respectively numbers the smoke detection data set, the real-time monitoring image data set and the temperature detection data set according to the characteristics of the cabin data set, and the smoke detection data set numbers are as follows、.../>The real-time monitoring image data set is numbered/>、...The temperature detection data set is numbered/>、.../>。
Preferably, the data analysis module calculates the smoke concentration difference, the combustion rate and the temperature difference according to the smoke detection data set, the real-time monitoring image data set and the temperature detection data set, and the calculation formula is as follows:
in the formula (i), Representing smoke concentration differences,/>Representing the first smoke concentration value in the cabin of the ship,/>Represents the second smoke concentration value after 10 minutes,/>Representing the difference in smoke concentration twice,/>A smoke concentration sensitive value in a safety condition;
in the formula (i), Representing the burn rate,/>Representing the combustion area in the cabin of the previous moment,/>Representing the combustion area in the next moment of the ship cabin,/>Representing the difference of combustion areas in the cabins at the front and rear moments;
in the formula (i), Representing the temperature difference,/>The absolute value of the difference between the temperatures in the front and rear cabins is expressed,Indicating the reference temperature difference under normal conditions.
Preferably, the target recognition module is used for recognizing the smoke concentration differenceBurn rate/>And temperature difference/>Judging the fire state of the cabin, wherein the smoke concentration difference/>Or temperature difference/>When any numerical value of the smoke concentration and the temperature difference in the cabin exceeds the sensitive value and the combustion rate is controlled to be/>, wherein the smoke concentration and the temperature difference in the cabin exceed the sensitive valueThe numerical value immediately looks at the cabin image.
Preferably, the target recognition module establishes a classification model through a cabin distribution area, the model numbers are in one-to-one correspondence with the feature numbers of the cabin data sets, and the driving area data set model numbers are as follows、.../>The personnel-intensive area dataset model number is/>、.../>The functional area dataset model number is/>、.../>The deck area dataset model number isAnd/>。
Preferably, the object recognition module is configured to recognize the difference in smoke concentrationAnd burn rate/>The burned space occupancy of a single or multiple regions in the cabin data set is calculated as follows:
in the formula (i), Representing the burnt space duty cycle,/>Representing the total area of fire and smoke diffusion,/>Representing the safe distance area of the fire isolation belt,/>Indicating the total area of the overall hold of the hull.
Preferably, the control module sets a priority from low to high according to the calculated burned space ratio and temperature difference, and the control module inputs the burned space ratio value and the temperature difference value after the priority is set into the fire extinguishing unit and the sealing unit through a network.
Preferably, the priority setting criteria are as follows:
500℃≥ Is a low-risk coefficient;
500 ℃ is a high-risk coefficient;
≥/> Is a low duty cycle;
is a high duty cycle.
Preferably, the temperature differenceIs a low-risk coefficient, the burnt space is occupied/>At high duty ratio, the fire extinguishing unit is matched with the sealing unit to extinguish fire, and the temperature difference/>As a high-risk coefficient, the burnt space is occupied/>At low duty cycle, fire is extinguished only by the sealing unit.
Compared with the prior art, the invention provides a ship fire monitoring system, which has the following beneficial effects:
1. according to the invention, a cabin data set is acquired through the smoke sensor, the laser camera and the temperature sensor, and is connected to the data analysis module through the data collection module network, so that the smoke concentration difference is calculated according to a formula Burn rate/>And temperature differenceAnd the numerical value is stored in the target identification module, so that the fire point can be rapidly identified in a hull driving area, a personnel-intensive area, a functional area or a deck area while the comprehensive monitoring without dead angles is realized.
2. The invention uses smoke concentration differenceOr temperature difference/>When any numerical value of the smoke concentration and the temperature difference in the cabin exceeds the sensitive value and the combustion rate is controlled to be/>, wherein the smoke concentration and the temperature difference in the cabin exceed the sensitive valueThe numerical value immediately checks the cabin image, the fire is found to be rapid, and the target recognition module is used for detecting the smoke concentration difference/>And burn rate/>Calculating the burned space occupancy/>, of a single or multiple regions in a cabin datasetThe control module sets the priority according to the fire data of the ship, so that the full-force fire extinguishing or evacuation escape is effectively assisted, the fire extinguishing efficiency is high, and the life and property safety of personnel is guaranteed.
Drawings
FIG. 1 is a schematic diagram of the structural system of the present invention.
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.
Referring to fig. 1, a ship fire monitoring system comprises a smoke detection unit, a real-time monitoring unit and a temperature detection unit, wherein the smoke detection unit is connected with a data collection module through a network, the smoke detection unit collects smoke concentration values of a cabin once every 10 minutes through a smoke sensor and sends the smoke concentration values collected before and after to a data analysis module through the network, the smoke sensor has the core function of detecting smoke concentration in the environment, when the smoke concentration exceeds a set threshold value, an alarm is triggered, the real-time monitoring unit collects cabin images in real time through a laser camera and sends the collected images to the data analysis module through the network, the laser camera adopts laser light curtain projection to judge the existence of a combustion object, the laser light source blocks time, a combination algorithm can quickly obtain the volume of the combustion object to be detected, the temperature detection unit is connected with the data collection module through the network, the temperature detection unit collects temperature values of the cabin once every 30 minutes through the temperature sensor and sends the collected temperature values to the data analysis module through the network;
the data analysis module is used for classifying and numbering the cabin data set according to the characteristics of the cabin data set, the cabin data set classification consists of a smoke detection data set, a real-time monitoring image data set and a temperature detection data set, and the smoke detection data set is numbered 、.../>Real-time monitoring image dataset numbering is/>、.../>Temperature detection dataset number/>、.../>The data analysis module numbers/>, according to the smoke detection data setReal-time monitoring of image dataset numbering/>And temperature detection dataset number/>Calculate smoke concentration difference/>Burn rate/>And temperature difference/>The numerical value is stored in the target recognition module, and the data analysis module is connected with the target recognition module through a network;
The data analysis module calculates smoke concentration difference, combustion rate and temperature difference according to the smoke detection data set, the real-time monitoring image data set and the temperature detection data set, and the calculation formula is as follows:
in the formula (i), Representing smoke concentration differences,/>Representing the first smoke concentration value in the cabin of the ship,/>Represents the second smoke concentration value after 10 minutes,/>Representing the difference in smoke concentration twice,/>A smoke concentration sensitive value in a safety condition; when the fire is not on, the smoke concentration change is tiny, the difference value of the smoke concentration of the two times is 0 or less than 1, and when the fire is on, the smoke concentration is gradually increased, and the difference value of the smoke concentration of the two times exceeds a sensitive value, so that the ship cabin needs to be checked immediately;
in the formula (i), Representing the burn rate,/>Representing the combustion area in the cabin of the previous moment,/>Representing the combustion area in the next moment of the ship cabin,/>Representing the difference of combustion areas in the cabins at the front and rear moments; according to the combustion rate/>The presence ratio of the ignition material in the vicinity of the fire source can be grasped in detail.
In the formula (i),Representing the temperature difference,/>The absolute value of the difference between the temperatures in the front and rear cabins is expressed,Representing a normal reference temperature difference value; under normal conditions, the difference between the two temperatures changes slightly, and the temperature difference/>The index is negative, when the fire is on, the temperature in the cabin is quickly increased by burning, and the temperature difference/>The index should be a positive number;
the target recognition module is used for recognizing the smoke concentration difference Burn rate/>And temperature difference/>Judging the fire state of the cabin, and the smoke concentration difference/>Or temperature difference/>When any numerical value of the smoke concentration and the temperature difference in the cabin exceeds the sensitive value and the combustion rate is controlled to be/>, wherein the smoke concentration and the temperature difference in the cabin exceed the sensitive valueImmediately checking the cabin image according to the numerical value, judging whether the cabin is in fire or not, and simultaneously, according to the smoke concentration difference/>Or temperature difference/>Whether the explosion risk exists at the ignition point can be judged, and the life danger of personnel is effectively reduced;
the object recognition module classifies and numbers the cabin data set according to the characteristics of the cabin data set, the cabin data set consists of a driving area data set, a personnel intensive area data set, a functional area data set and a deck area data set, and the driving area data set is numbered Personnel intensive area dataset numbering/>Functional area dataset numbering is/>Deck area dataset number/>The target recognition module establishes a classification model through the cabin distribution area, the model numbers correspond to the feature numbers of the cabin data sets one by one, and the model numbers of the driving area data sets are/>、.../>The personnel-intensive area dataset model number is/>、.../>Functional area dataset model number is、.../>Deck area dataset model number/>And/>The target recognition module is controlled by the smoke concentration difference/>Burn rate/>Safety distance area of fire isolation belt/>And the total area of the whole cabin of the hull/>Calculating the burnt rescue space occupation ratio/>, of a single or multiple areas in the cabin data set according to a formulaThe target identification module is connected with the control module through a network;
the target recognition module uses the smoke concentration difference And burn rate/>The burned space occupancy of a single or multiple regions in the cabin data set is calculated as follows:
in the formula (i), Representing the burnt space duty cycle,/>Representing the total area of fire and smoke diffusion,/>Representing the safe distance area of the fire isolation belt,/>Representing the total area of the whole cabin of the hull; according to different duty ratios, the ship fire extinguishing monitoring system can immediately make a treatment scheme, and the fire extinguishing efficiency is effectively improved.
The control module consists of a fire extinguishing unit and a sealing unit, wherein the fire extinguishing unit comprises a manual fire extinguishing method, cooling or spraying chemical agents, the sealing unit uses a cabin closing fire extinguishing method to quickly seal a fire cabin and prevent air from extinguishing fire, and the control module controls the fire extinguishing unit and the sealing unit according to cabin fire data.
The control module sets the priority from low to high according to the calculated burnt space duty ratio and temperature difference, and inputs the burnt space duty ratio value and the temperature difference value after the priority is set into the fire extinguishing unit and the sealing unit through a network.
The priority setting criteria are as follows:
500℃≥ Is a low-risk coefficient, and can extinguish fire in an artificial way;
500 ℃ is a high-risk coefficient, and the ignition point has a deflagration risk and needs to be closed for extinguishing a fire;
≥/> the ship body can still normally run because of low duty ratio and fewer ignition points;
For high duty cycle, there are numerous fires requiring emergency evacuation of personnel.
Temperature differenceIs a low-risk coefficient, the burnt space is occupied/>When the ratio is high, the fire extinguishing unit is matched with the sealing unit to extinguish fire, and the temperature difference/>As a high-risk coefficient, the burnt space is occupied/>At low duty cycle, fire is extinguished only by the sealing unit, smoke concentration difference/>, of ship fire dataBurn rate/>Temperature difference/>And burnt space occupancy/>The numerical value effectively assists the manager to command full-force fire extinguishment or evacuation escape, the fire extinguishment efficiency is high, and the life and property safety of personnel is guaranteed.
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 (6)
1. A fire monitoring system for a ship, comprising: the system comprises a smoke detection unit, a real-time monitoring unit and a temperature detection unit, wherein the smoke detection unit is connected with a data collection module through a network, the real-time monitoring unit is connected with the data collection module through a network, the temperature detection unit is connected with the data collection module through a network, and the data collection module is used for connecting a cabin data set with a data analysis module through a network;
The data analysis module carries out classification numbering on the cabin data sets according to the characteristics of the cabin data sets, the cabin data sets are classified by smoke detection data sets, real-time monitoring image data sets and temperature detection data sets, the smoke detection data sets are numbered as YW 1、YW2、YW3、...TWn, the real-time monitoring image data sets are numbered as JK 1、JK2、JK3、...JKn, the temperature detection data sets are numbered as WD 1、WD2、WD3、...WDn, and the data analysis module calculates smoke concentration difference Yc, burning rate Rs and temperature difference Wc according to the smoke detection data sets YW, the real-time monitoring image data sets are numbered as JK and the temperature detection data sets WD and stores the numerical values into the target recognition module, wherein the calculation formula is as follows:
In the formula, yc represents a smoke concentration difference, YW 1 represents a first smoke concentration value in a cabin, YW 2 represents a second smoke concentration value after 10 minutes, YW 2-YW1 represents a two-time smoke concentration difference, and Bz represents a smoke concentration sensitivity value under a safety condition;
In the formula, rs represents the combustion rate, JK 1 2 represents the combustion area in the previous cabin, JK 2 2 represents the combustion area in the next cabin, and JK 2 2-JK1 2 represents the difference between the combustion areas in the previous and next cabins;
Wc=|WD2-WD1|-k
In the formula, wc represents a temperature difference, |WD 2-WD1 | represents an absolute value of a temperature difference in the cabin of the ship twice before and after, and k represents a reference temperature difference under normal conditions;
the data analysis module is connected with the target identification module through a network;
The target recognition module classifies and numbers the ship cabin data sets according to characteristics of the ship cabin data sets, the ship cabin data sets are composed of driving area data sets, personnel intensive area data sets, functional area data sets and deck area data sets, the driving area data sets are numbered Qd, the personnel intensive area data sets are numbered Ry, the functional area data sets are numbered Gn, the deck area data sets are numbered Ji, the target recognition module establishes classification models through ship cabin distribution areas, the model numbers are in one-to-one correspondence with the characteristic numbers of the ship cabin data sets, the driving area data sets are numbered Qd 1、Qd2、Qd3、...Qdn, the personnel intensive area data sets are numbered Ry 101、Ry102、Ry201、...Ryn, the functional area data sets are numbered Gn a、Gnb、Gnc、...Gnn, the deck area data sets are numbered Ji qian、Jihou、Jizuo and Ji you, the target recognition module calculates a combustion space ratio of a single or multiple ship cabin data areas according to a combustion formula Jyzb in which the whole ship cabin data sets are calculated through smoke concentration difference Yc, combustion rate Rs, fire isolation belt safe distance area GL 2 and ship cabin total area Z 2:
In the formula, jyzb represents the burnt space ratio, yc×rs represents the total area of fire and smoke diffusion, GL 2 represents the area of fire isolation zone safety distance, and Z 2 represents the total area of the whole cabin of the hull;
The target identification module is connected with the control module through a network;
The control module consists of a fire extinguishing unit and a sealing unit, and the control module controls the fire extinguishing unit and the sealing unit according to cabin fire data.
2. A marine vessel fire monitoring system as claimed in claim 1 wherein: the smoke detection unit collects cabin smoke concentration values every 10 minutes through the smoke sensor, the smoke concentration values collected before and after are sent to the data analysis module through the network, the real-time monitoring unit collects cabin images in real time through the laser camera, the collected images are sent to the data analysis module through the network, the temperature detection unit collects cabin temperature values every 30 minutes through the temperature sensor, and the collected temperature values are sent to the data analysis module through the network.
3. A marine vessel fire monitoring system according to claim 2, wherein: and the target recognition module judges the fire state of the cabin according to the smoke concentration difference Yc, the burning rate Rs and the temperature difference Wc, and when any one of the smoke concentration difference Yc or the temperature difference Wc is more than or equal to 1, the smoke concentration and the temperature difference in the cabin exceed sensitive values, and the image of the cabin is immediately checked by comparing with the value of the burning rate Rs.
4. A marine vessel fire monitoring system according to claim 3, wherein: the control module sets the priority from low to high according to the calculated burnt space duty ratio and temperature difference, and inputs the burnt space duty ratio value and the temperature difference value after the priority is set into the fire extinguishing unit and the sealing unit through a network.
5. The marine vessel fire monitoring system of claim 4 wherein: the priority setting criteria are as follows:
The temperature is more than or equal to Wc at 500 ℃ and is a low-risk coefficient;
Wc is more than 500 ℃ and is a high-risk coefficient;
15 percent or more and Hyzb percent, is low in duty ratio;
jyzb >15% is high duty cycle.
6. A marine vessel fire monitoring system as claimed in claim 5 wherein: the temperature difference Wc is a low-risk coefficient, when the burnt space ratio Jyzb is a high ratio, the fire extinguishing unit is matched with the sealing unit to extinguish fire, when the burnt space ratio Jyzb is a low ratio, the fire extinguishing unit is only used for extinguishing fire through the sealing unit.
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CN102298816A (en) * | 2011-05-17 | 2011-12-28 | 杭州电子科技大学 | Fire early warning method for marine engine room based on multi-source fusion |
CN112419691A (en) * | 2020-12-03 | 2021-02-26 | 上海智密技术工程研究所有限公司 | Fire-fighting monitoring system for ship |
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CN209419653U (en) * | 2018-12-29 | 2019-09-20 | 中国人民解放军陆军军事交通学院镇江校区 | A kind of safety of ship monitoring device based on Internet of Things |
CN117351638A (en) * | 2023-11-03 | 2024-01-05 | 烟台大学 | Intelligent fire monitoring system and method for passenger rolling ship automobile cabin |
CN117671875A (en) * | 2023-11-16 | 2024-03-08 | 上海船舶工艺研究所(中国船舶集团有限公司第十一研究所) | Fire-fighting early warning system for wireless networking of ships |
CN117746602B (en) * | 2024-02-19 | 2024-05-28 | 及安盾(海南)科技有限公司 | Fire risk intelligent early warning method and system based on multi-source data fusion |
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CN102298816A (en) * | 2011-05-17 | 2011-12-28 | 杭州电子科技大学 | Fire early warning method for marine engine room based on multi-source fusion |
CN112419691A (en) * | 2020-12-03 | 2021-02-26 | 上海智密技术工程研究所有限公司 | Fire-fighting monitoring system for ship |
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