CN114463914A - A intelligent emergency escape ladder for high-rise building fire control - Google Patents
A intelligent emergency escape ladder for high-rise building fire control Download PDFInfo
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- CN114463914A CN114463914A CN202210118175.7A CN202210118175A CN114463914A CN 114463914 A CN114463914 A CN 114463914A CN 202210118175 A CN202210118175 A CN 202210118175A CN 114463914 A CN114463914 A CN 114463914A
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- 238000012216 screening Methods 0.000 claims abstract description 27
- 239000013618 particulate matter Substances 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims description 14
- 230000005540 biological transmission Effects 0.000 claims description 9
- 239000002245 particle Substances 0.000 claims description 7
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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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- E—FIXED CONSTRUCTIONS
- E06—DOORS, WINDOWS, SHUTTERS, OR ROLLER BLINDS IN GENERAL; LADDERS
- E06C—LADDERS
- E06C7/00—Component parts, supporting parts, or accessories
- E06C7/003—Indicating devices, e.g. user warnings or inclinators
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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
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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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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Abstract
The invention belongs to the technical field of intelligent escape ladders for high-rise building fire fighting; in particular to an intelligent lifesaving ladder for fire fighting of high-rise buildings; the control system of the intelligent lifesaving ladder comprises a controller: the controller obtains the particulate matter concentration data of each target guide rail position, the temperature data of each target guide rail position and the vibration amplitude data of each pedal running to each target guide rail position in a target running time period; obtaining the danger degree of the escape ladder corresponding to the position of each target guide rail in the target operation time period according to the concentration data and the temperature data of the particulate matters; screening the positions of the target guide rails according to the danger degree of the escape ladder, and early warning the screened positions of the target guide rails; obtaining pedal danger degrees corresponding to the pedals in a target operation time period according to the vibration amplitude data; and screening the pedals according to the danger degrees of the pedals, and early warning the screened pedals. The invention can carry out early warning on some dangerous situations.
Description
Technical Field
The invention relates to the technical field of intelligent escape ladders for high-rise building fire protection, in particular to an intelligent escape ladder for high-rise building fire protection.
Background
Along with the high-speed development of economy, high-rise buildings are more and more, and the proportion of high-rise building fires in building fires is also improved year by year; because the high-rise building has the characteristics of complex fire factors, multiple fire spreading ways, high speed, difficult safe evacuation and the like when a fire breaks out, the high-rise building escape ladder is generally used for rescuing when the high-rise building breaks out; because the environment of the fire scene is complex and changeable, the use of the high-rise building escape ladder can be influenced, and trapped people are injured when in use.
The existing escape ladder for fire fighting of high-rise buildings can have some dangerous situations in the using process, for example, the temperature of a certain floor is too high, the trapped people can be injured when passing through the floor, or the environment of a fire scene causes the pedal of the escape ladder to be broken down, and the trapped people can be injured when riding.
Disclosure of Invention
The invention provides an intelligent lifesaving ladder for fire fighting of high-rise buildings, which is used for solving the problem that the existing lifesaving ladder can not give out early warning in some dangerous situations, and adopts the following technical scheme:
in a first aspect, an embodiment of the invention provides an intelligent lifesaving ladder for fire fighting of a high-rise building, which comprises a transmission chain, wherein a plurality of pedals are arranged on the transmission chain, a guide rail is arranged outside the transmission chain, and the transmission chain moves in the guide rail; the intelligent lifesaving ladder also comprises a control system, wherein the control system comprises a controller, and a temperature detector, a wind pressure detector, a particulate matter concentration detector and a vibration amplitude detector which are in signal connection with the controller;
the temperature detector is used for detecting temperature data of each target guide rail position, the wind pressure detector is used for detecting wind pressure data of each pedal running to each target guide rail position, the particulate matter concentration detector is used for detecting particulate matter concentration data of each target guide rail position, and the vibration amplitude detector is used for detecting vibration amplitude data of each pedal running to each target guide rail position;
the method comprises the following steps that a controller obtains particle concentration data of each target guide rail position, temperature data of each target guide rail position, wind pressure data of each pedal running to each target guide rail position and vibration amplitude data of each pedal running to each target guide rail position in a target running time period; then obtaining the danger degree of the escape ladder corresponding to the position of each target guide rail in the target operation time period according to the concentration data and the temperature data of the particulate matters; screening the positions of the target guide rails according to the danger degree of the emergency escape ladder, and early warning the screened positions of the target guide rails; then according to the wind pressure data, obtaining the wind pressure similarity degree corresponding to any two pedals in the target operation time period; clustering the pedals according to the wind pressure similarity degree; finally, obtaining the pedal danger degree corresponding to each pedal in the target operation time period according to the vibration amplitude data of each pedal in each category when the pedal operates to each target guide rail position; and screening the pedals according to the pedal danger degree, and giving an early warning to the screened pedals.
The invention also provides an early warning method of the intelligent lifesaving ladder for high-rise building fire fighting, which comprises the following steps:
acquiring particulate matter concentration data of each target guide rail position, temperature data of each target guide rail position, wind pressure data of each pedal running to each target guide rail position and vibration amplitude data of each pedal running to each target guide rail position in a target running time period;
obtaining the danger degree of the escape ladder corresponding to the position of each target guide rail in the target operation time period according to the concentration data and the temperature data of the particulate matters;
screening the positions of the target guide rails according to the danger degree of the emergency escape ladder, and early warning the screened positions of the target guide rails;
according to the wind pressure data, obtaining the wind pressure similarity degree corresponding to any two pedals in the target operation time period; clustering the pedals according to the wind pressure similarity degree;
obtaining pedal danger degrees corresponding to the pedals in a target operation time period according to the vibration amplitude data; and screening the pedals according to the pedal danger degree, and giving an early warning to the screened pedals.
Has the advantages that: according to the method, the particle concentration data and the temperature data of each target guide rail position in the target operation time period are used as a basis for obtaining the danger degree of the escape ladder corresponding to each target guide rail position in the target operation time period; taking the danger degree corresponding to each target guide rail position as a basis for screening each target guide rail position; the wind pressure similarity degree corresponding to any two pedals in the target operation time period is used as a basis for clustering the pedals; using vibration amplitude data of each pedal in each category when the pedal runs to each target guide rail position as a basis for obtaining the pedal danger degree corresponding to each pedal in a target running time period; and taking the pedal danger degree corresponding to each pedal as a basis for screening each pedal. The intelligent lifesaving ladder for fire fighting of the high-rise building can give an early warning to some dangerous situations, and can also reduce the harm of trapped people by considering the influence of the concentration data of particles at each target guide rail position, the wind pressure data of each pedal running to each target guide rail position and the vibration amplitude data of each pedal running to each target guide rail position on the lifesaving ladder in a fire scene.
Preferably, the particulate matter concentration data and the temperature data are in a negative correlation with the corresponding risk level of the escape ladder corresponding to each target guide rail position.
Preferably, according to the emergency escape ladder danger degree, screen each target guide rail position to each target guide rail position that screens out carries out the early warning, include:
judging whether the danger degree of the escape ladder corresponding to each target guide rail position in the target operation time period is smaller than a preset danger degree threshold value of the escape ladder, if so, screening out the corresponding target guide rail position;
according to the positions of the screened target guide rails, the position of the target guide rail closest to the bottommost end of the escape ladder in the positions of the screened target guide rails is obtained;
and alarming the positions of the target guide rails which are higher than and equal to the position of the target guide rail at the bottommost end.
Preferably, according to the wind pressure data, obtaining the wind pressure similarity corresponding to any two pedals in the target operation time period includes:
according to the wind pressure data, a wind pressure data sequence corresponding to each pedal in a target operation time period is constructed and obtained;
calculating the difference degree between the wind pressure data sequences corresponding to any two pedals in the target operation time period by using a DTW algorithm;
according to the difference degree, obtaining the similarity degree of the wind pressure data sequences corresponding to any two pedals in the target operation time period;
and recording the similarity degree of the wind pressure data sequence as the wind pressure similarity degree corresponding to any two pedals in the target operation time period.
Preferably, according to the wind pressure similarity, clustering the pedals, including:
recording the reciprocal of the wind pressure similarity degree as a sample distance between the two corresponding pedals;
and clustering the pedals corresponding to the escape ladder in the target operation time period according to the sample distance.
Preferably, obtaining the pedal risk level corresponding to each pedal in the target operation time period according to the vibration amplitude data includes:
obtaining each pedal in each category according to the clustering result;
obtaining average vibration amplitude data corresponding to each pedal in a target operation time period according to the vibration amplitude data;
obtaining the average value of the average vibration amplitude corresponding to each pedal in each category according to the average vibration amplitude data;
recording the ratio of the average vibration amplitude data corresponding to each pedal in each category to the average value of the average vibration amplitude data corresponding to each pedal in the corresponding category as the danger degree of each pedal in each category;
and obtaining the pedal danger degree corresponding to each pedal in the target operation time period according to the pedal danger degree corresponding to each pedal in each category.
Preferably, according to footboard danger degree, to each footboard filter to the footboard of screening carries out the early warning, include:
and judging whether the danger degree of the pedal corresponding to each pedal is greater than a preset threshold value of the danger degree of the pedal, if so, screening the corresponding pedal, and alarming the screened pedal.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a control schematic diagram of an intelligent emergency ladder control system for fire fighting of high-rise buildings according to the present invention;
fig. 2 is a flow chart of an early warning method of an intelligent emergency ladder for fire fighting of high-rise buildings according to the invention.
Detailed Description
In order to further explain the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description, the structure, the features and the effects of an intelligent emergency ladder for fire fighting of high-rise buildings according to the present invention are provided with reference to the accompanying drawings and the preferred embodiments. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The utility model provides an intelligence emergency escape ladder for high-rise building fire control, an intelligence emergency escape ladder device for high-rise building fire control includes drive chain, is equipped with a plurality of footboards on the drive chain, and the drive chain outside is provided with the guide rail, and drive chain moves in the guide rail, an intelligence emergency escape ladder for high-rise building fire control still includes the alarm that sets up on each target guide rail position and sets up the alarm on each footboard.
As shown in fig. 1, the intelligent lifesaving ladder for fire fighting of high-rise buildings further comprises a control system, wherein the control system comprises a controller, and a temperature detector, a wind pressure detector, a particulate matter concentration detector and a vibration amplitude detector which are in signal connection with the controller; the temperature detector is used for detecting temperature data of each target guide rail position of the escape ladder, the wind pressure detector is used for detecting wind pressure data of each pedal of the escape ladder running to each target guide rail position, the particulate matter concentration detector is used for detecting particulate matter concentration data of each target guide rail position of the escape ladder, and the vibration amplitude detector is used for detecting vibration amplitude data of each pedal running to each target guide rail position.
The controller can be a conventional control chip, such as a single chip microcomputer; the controller executes an early warning method of the intelligent lifesaving ladder for fire fighting of the high-rise building as shown in figure 2 according to the received data information.
The early warning method of the intelligent lifesaving ladder for the fire fighting of the high-rise building comprises the following specific steps:
and S001, acquiring the particulate matter concentration data of each target guide rail position, the temperature data of each target guide rail position, the wind pressure data of each pedal running to each target guide rail position and the vibration amplitude data of each pedal running to each target guide rail position in a target running time period.
In the embodiment, the intelligent escape ladder for fire fighting of the high-rise building is arranged at the position of each layer of window or safety exit, so that trapped people can conveniently take the escape in time; in the embodiment, the total height of the intelligent emergency ladder for fire fighting of the high-rise building is obtained, and the total height of the emergency ladder is also the length of the guide rail arranged outside the transmission chain, namely, each position on the emergency ladder corresponds to each position on the guide rail; a plurality of guide rail positions are arranged on the guide rail, the distances between the adjacent guide rail positions are the same, and a temperature detector, a particulate matter concentration detector and a wind pressure detector are arranged at each guide rail position.
In this embodiment, the distance between the positions of the adjacent guide rails is set to 0.5 m; as another embodiment, a different value may be set for the distance between adjacent guide rail positions according to different actual situations, for example, the preset fixed interval may be set to 1 m.
In the embodiment, the number of the escape ladder pedals is set to be M, the distances between the adjacent pedals are the same, and a vibration amplitude detector is arranged on each pedal; in the embodiment, a temperature detector, a wind pressure detector, a particulate matter concentration detector and a vibration amplitude detector 5s are arranged to detect primary data; and the distance between the adjacent steps of the escape ladder is set according to actual conditions. As another embodiment, other detection times may be set for the detector according to different requirements, for example, the detector 2s detects primary data.
In the embodiment, the running speed of the escape ladder is constant, namely the running speed of each pedal on the escape ladder is the same; the running time of the escape ladder is set to be the time corresponding to one week of running of each pedal, and the time period corresponding to one week of running of each pedal is recorded as a target running time period. In the embodiment, a preset number of guide rail positions are selected from the guide rail positions, the selected preset number of guide rail positions are recorded as target guide rail positions, the target guide rail positions need to meet the requirement that each floor has one target guide rail position, and an alarm is respectively arranged at each target guide rail position; acquiring particulate matter concentration data of each target guide rail position in a target operation time period, temperature data of each target guide rail position of the emergency ladder, wind pressure data of each pedal of the emergency ladder running to each target guide rail position and vibration amplitude data of each pedal of the emergency ladder running to each target guide rail position; the intervals between the adjacent target guide rail positions are the same; the present embodiment sets the values of the guide rail positions by a preset number according to the actual situation.
As another embodiment, the time for operating the emergency ladder may be set according to different requirements, for example, the time for operating the emergency ladder is set to be a time corresponding to two weeks or three weeks for each pedal, and a time period corresponding to two weeks or three weeks for each pedal is set as a target operation time period.
And S002, obtaining the danger degree of the escape ladder corresponding to each target guide rail position in the target operation time period according to the particulate matter concentration data and the temperature data.
In the embodiment, when trapped people take the escape ladder, when the temperature corresponding to each target guide rail position of the escape ladder is too high or the concentration of particulate matters is too high, the trapped people can be seriously injured; therefore, the danger degree of the emergency ladder corresponding to each target guide rail position is obtained by analyzing the particle concentration data of each target guide rail position of the emergency ladder and the temperature data of each target guide rail position of the emergency ladder in the target operation time period; and taking the danger degree of the escape ladder as a basis for screening the positions of the target guide rails and early warning the screened positions of the target guide rails.
In this embodiment, since the target operation time period is longer than the interval time of the detection by the detector, the position of each target guide rail corresponds to a plurality of particulate matter concentration data and a plurality of temperature data in the target operation time period; then, calculating the average particulate matter concentration of each particulate matter concentration data corresponding to each target guide rail position in a target operation time period, and calculating the average temperature of each temperature data corresponding to each target guide rail position in the target operation time period; calculating to obtain the danger degree of the emergency ladder corresponding to each target guide rail position in the target operation time period according to the average particulate matter concentration and the average temperature corresponding to each target guide rail position in the target operation time period; calculating the danger degree of the escape ladder corresponding to the position of each target guide rail in the target operation time period according to the following formula:
wherein, UaThe danger degree of the emergency ladder corresponding to the a-th target guide rail position in the target operation time period AaIs the average temperature corresponding to the a-th target guide rail position in the target operation time period, BaThe average particle concentration corresponding to the position of the a-th target guide rail in the target operation time period; (A)a*Ba) The larger the value of (2), the smaller the value of the corresponding danger degree of the escape ladder, which indicates that the higher the danger degree borne by the trapped person is when the trapped person passes through the position of the target guide rail; (A)a*Ba) The smaller the value of (a), the larger the value of the corresponding risk level of the escalator, indicating that the trapped person experiences a lower risk level when passing the target guide rail position.
And S003, screening the positions of the target guide rails according to the danger degree of the escape ladder, and early warning the screened positions of the target guide rails.
In the embodiment, the positions of the target guide rails are screened according to the danger degree of the emergency escape ladder corresponding to the positions of the target guide rails in the target operation time period, and the screened positions of the target guide rails are early warned; the method specifically comprises the following steps: judging whether the danger degree of the escape ladder corresponding to each target guide rail position in the target operation time period is smaller than a preset escape ladder danger degree threshold value or not, and if so, screening out the corresponding target guide rail position; and acquiring the position of the target guide rail closest to the bottommost end of the escape ladder from the screened positions of the target guide rails, and alarming the positions of the target guide rails higher than and equal to the position of the target guide rail at the bottommost end to remind trapped people higher than and equal to the position of the target guide rail at the bottommost end of the escape ladder that danger may exist in the process of getting off the escape ladder. In this embodiment, the preset threshold value of the danger degree of the emergency escape ladder is set according to actual conditions.
Step S004, according to the wind pressure data, obtaining the wind pressure similarity degree corresponding to any two pedals in the target operation time period; and clustering the pedals according to the wind pressure similarity degree.
In the embodiment, the wind pressure data of all pedals of the escape ladder running to the positions of all target guide rails in the target running time period is analyzed to obtain the wind pressure similarity degree corresponding to any two pedals corresponding to the escape ladder in the target running time period; clustering the pedals corresponding to the escape ladder in the target operation time period according to the wind pressure similarity degree corresponding to any two pedals corresponding to the escape ladder in the target operation time period; and taking the clustering result as a basis for calculating the pedal danger degree corresponding to each pedal through subsequent analysis.
In the embodiment, according to the wind pressure data of each pedal of the escape ladder running to each target guide rail position in the target running time period, a wind pressure data sequence corresponding to each pedal of the escape ladder in the target running time period is constructed and obtained; calculating the difference degree between the wind pressure data sequences corresponding to any two pedals of the escape ladder in the target operation time period by using a DTW (delay tolerant shift) algorithm; according to the difference degree between the wind pressure data sequences corresponding to any two pedals, the similarity degree of the wind pressure data sequences corresponding to any two pedals of the escape ladder in the target operation time period is obtained; calculating the similarity degree between the wind pressure data sequences corresponding to any two pedals of the escape ladder in the target operation time period according to the following formula:
wherein D isb,cFor the similarity degree between the wind pressure data sequence corresponding to the b-th pedal and the wind pressure data sequence corresponding to the c-th pedal of the escape ladder in the target operation time period, Eb,cThe difference degree between the wind pressure data sequence corresponding to the b-th pedal and the wind pressure data sequence corresponding to the c-th pedal of the escape ladder in the target operation time period is obtained;
has a value range of (0, 1),
the larger the value of (A), Db,b+1The larger the value of (A) is, the higher the similarity degree between the wind pressure data sequence corresponding to the b-th pedal and the wind pressure data sequence corresponding to the c-th pedal of the escape ladder in the target operation time period is.
In this embodiment, the obtained similarity degree between the wind pressure data sequences corresponding to any two pedals of the emergency ladder in the target operation time period is recorded as the wind pressure similarity degree corresponding to any two pedals of the emergency ladder in the target operation time period; recording the reciprocal of the wind pressure similarity degree corresponding to any two pedals of the escape ladder in the target operation time period as a sample distance between the two corresponding pedals; clustering the pedals corresponding to the escape ladder in the target operation time period according to the obtained sample distance between any two pedals of the escape ladder; the clustering algorithm is density clustering of DBSCAN.
Step S005, obtaining the pedal danger degree corresponding to each pedal in the target operation time period according to the vibration amplitude data; and screening the pedals according to the pedal danger degree, and giving an early warning to the screened pedals.
In the embodiment, because when each pedal of the escape ladder breaks down, trapped people can cause panic when taking the escape ladder, each pedal is analyzed based on the vibration amplitude data of each pedal running to each target guide rail position; because the wind pressure data of each pedal of the escape ladder running to each target guide rail position in the target running time period can affect the vibration amplitude data of each pedal of the escape ladder running to each target guide rail position, the embodiment eliminates the influence of the wind pressure data of each pedal of the escape ladder running to each target guide rail position in the target running time period on the vibration amplitude data of each pedal running to each target guide rail position through the clustering, and then obtains the pedal danger degree corresponding to each pedal of the escape ladder in the target running time period by analyzing the vibration amplitude data of each pedal running to each target guide rail position in the same wind pressure environment; and taking the danger degree of the pedals corresponding to each pedal as a basis for screening each pedal and giving early warning to the screened pedals.
In this embodiment, each pedal in each category is obtained according to the clustering result; since the time period corresponding to one cycle of running of each pedal is recorded as the target running time period, and each pedal passes through each target guide rail position in the target running time period, each pedal of the escape ladder corresponds to a plurality of vibration amplitude data in the target running time period, and the quantity of the vibration amplitude data corresponding to each pedal is also the quantity of the target guide rail positions.
In the embodiment, the average vibration amplitude data of the vibration amplitude data corresponding to each pedal of the escape ladder in the target operation time period is calculated; obtaining average vibration amplitude data corresponding to each pedal in each category; calculating the mean value of the average vibration amplitude data corresponding to each pedal in each category; recording the ratio of the average vibration amplitude data corresponding to each pedal in each category to the average value of the average vibration amplitude data corresponding to each pedal in the corresponding category as the danger degree of each pedal in each category; therefore, the pedal danger degree corresponding to each pedal of the escape ladder in the target operation time period can be obtained through the process.
In the embodiment, the steps of the emergency ladder in the target operation time period are screened according to the step danger degree corresponding to each step of the emergency ladder in the target operation time period, and the screened steps are early warned; the specific process is as follows: and judging whether the danger degree of the pedals corresponding to each pedal of the escape ladder in the target operation time period is greater than a preset pedal danger degree threshold value, if so, screening the corresponding pedals, and alarming the screened pedals to remind the trapped people to select other pedals to ride. In this embodiment, the preset pedal risk degree threshold is set according to actual conditions.
Has the beneficial effects that: in the embodiment, the particulate matter concentration data and the temperature data of each target guide rail position in the target operation time period are used as a basis for obtaining the danger degree of the escape ladder corresponding to each target guide rail position in the target operation time period; taking the danger degree of the escape ladder corresponding to the position of each target guide rail as a basis for screening the position of each target guide rail; the wind pressure similarity degree corresponding to any two pedals in the target operation time period is used as a basis for clustering the pedals; using vibration amplitude data of each pedal in each category when the pedal runs to each target guide rail position as a basis for obtaining the pedal danger degree corresponding to each pedal in a target running time period; and taking the pedal danger degree corresponding to each pedal as a basis for screening each pedal. The intelligent lifesaving ladder for high-rise fire fighting can give an early warning to some dangerous situations, and can also take the influences of the particulate matter concentration data of each target guide rail position, the wind pressure data of each pedal running to each target guide rail position and the vibration amplitude data of each pedal running to each target guide rail position on the lifesaving ladder in a fire scene into consideration, so that the harm to trapped people can be reduced.
It should be noted that the order of the above-mentioned embodiments of the present invention is merely for description and does not represent the merits of the embodiments, and in some cases, actions or steps recited in the claims may be executed in an order different from the order of the embodiments and still achieve desirable results.
Claims (8)
1. An intelligent lifesaving ladder for fire fighting of high-rise buildings comprises a transmission chain, wherein a plurality of pedals are arranged on the transmission chain, a guide rail is arranged outside the transmission chain, and the transmission chain moves in the guide rail; the intelligent lifesaving ladder also comprises a control system, wherein the control system comprises a controller, and a temperature detector, a wind pressure detector, a particulate matter concentration detector and a vibration amplitude detector which are in signal connection with the controller;
the temperature detector is used for detecting temperature data of each target guide rail position, the wind pressure detector is used for detecting wind pressure data of each pedal running to each target guide rail position, the particulate matter concentration detector is used for detecting particulate matter concentration data of each target guide rail position, and the vibration amplitude detector is used for detecting vibration amplitude data of each pedal running to each target guide rail position;
the method comprises the following steps that a controller obtains particle concentration data of each target guide rail position, temperature data of each target guide rail position, wind pressure data of each pedal running to each target guide rail position and vibration amplitude data of each pedal running to each target guide rail position in a target running time period; then obtaining the danger degree of the escape ladder corresponding to the position of each target guide rail in the target operation time period according to the concentration data and the temperature data of the particulate matters; screening the positions of the target guide rails according to the danger degree of the emergency escape ladder, and early warning the screened positions of the target guide rails; then according to the wind pressure data, obtaining the wind pressure similarity degree corresponding to any two pedals in the target operation time period; clustering the pedals according to the wind pressure similarity degree; finally, obtaining the pedal danger degree corresponding to each pedal in the target operation time period according to the vibration amplitude data of each pedal in each category when the pedal operates to each target guide rail position; and screening the pedals according to the pedal danger degree, and giving an early warning to the screened pedals.
2. An early warning method of an intelligent lifesaving ladder for fire fighting of high-rise buildings is characterized by comprising the following steps:
acquiring particulate matter concentration data of each target guide rail position, temperature data of each target guide rail position, wind pressure data of each pedal running to each target guide rail position and vibration amplitude data of each pedal running to each target guide rail position in a target running time period;
obtaining the danger degree of the escape ladder corresponding to the position of each target guide rail in the target operation time period according to the concentration data and the temperature data of the particulate matters;
screening the positions of the target guide rails according to the danger degree of the emergency escape ladder, and early warning the screened positions of the target guide rails;
according to the wind pressure data, obtaining the wind pressure similarity degree corresponding to any two pedals in the target operation time period; clustering the pedals according to the wind pressure similarity degree;
obtaining pedal danger degrees corresponding to the pedals in a target operation time period according to the vibration amplitude data; and screening the pedals according to the pedal danger degree, and giving an early warning to the screened pedals.
3. The method as claimed in claim 2, wherein the particle concentration data and the temperature data are in negative correlation with the risk level of the elevator corresponding to each target rail position.
4. The intelligent emergency ladder for fire fighting of high-rise buildings according to claim 1, wherein the screening of the positions of the target guide rails according to the danger level of the emergency ladder and the early warning of the screened positions of the target guide rails comprises:
judging whether the danger degree of the escape ladder corresponding to each target guide rail position in the target operation time period is smaller than a preset danger degree threshold value of the escape ladder, if so, screening out the corresponding target guide rail position;
according to the positions of the screened target guide rails, the position of the target guide rail closest to the bottommost end of the escape ladder in the positions of the screened target guide rails is obtained;
and alarming the positions of the target guide rails which are higher than and equal to the position of the target guide rail at the bottommost end.
5. The intelligent lifesaving ladder for fire fighting of high-rise building as claimed in claim 1, wherein said obtaining the wind pressure similarity degree corresponding to any two pedals in the target operation time period according to said wind pressure data comprises:
according to the wind pressure data, a wind pressure data sequence corresponding to each pedal in a target operation time period is constructed and obtained;
calculating the difference degree between the wind pressure data sequences corresponding to any two pedals in the target operation time period by using a DTW algorithm;
according to the difference degree, obtaining the similarity degree of the wind pressure data sequences corresponding to any two pedals in the target operation time period;
and recording the similarity degree of the wind pressure data sequence as the wind pressure similarity degree corresponding to any two pedals in the target operation time period.
6. The intelligent lifesaving ladder for fire fighting of high-rise building as claimed in claim 5, wherein said clustering of said pedals according to said wind pressure similarity degree comprises:
recording the reciprocal of the wind pressure similarity degree as a sample distance between the two corresponding pedals;
and clustering the pedals corresponding to the escape ladder in the target operation time period according to the sample distance.
7. The intelligent lifesaving ladder for fire fighting of high-rise buildings according to claim 6, wherein said obtaining the pedal danger level corresponding to each pedal in the target operation time period based on said vibration amplitude data comprises:
obtaining each pedal in each category according to the clustering result;
obtaining average vibration amplitude data corresponding to each pedal in a target operation time period according to the vibration amplitude data;
obtaining the average value of the average vibration amplitude corresponding to each pedal in each category according to the average vibration amplitude data;
recording the ratio of the average vibration amplitude data corresponding to each pedal in each category to the average value of the average vibration amplitude data corresponding to each pedal in the corresponding category as the danger degree of each pedal in each category;
and obtaining the pedal danger degree corresponding to each pedal in the target operation time period according to the pedal danger degree corresponding to each pedal in each category.
8. The intelligent lifesaving ladder for fire fighting of high-rise building as claimed in claim 7, wherein said screening of said steps according to said step danger degree and early warning of said screened steps comprises:
and judging whether the danger degree of the pedal corresponding to each pedal is greater than a preset threshold value of the danger degree of the pedal, if so, screening the corresponding pedal, and alarming the screened pedal.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110043157A (en) * | 2009-10-21 | 2011-04-27 | 박성래 | Tap box for ladder vehicle |
| CN203291405U (en) * | 2013-06-18 | 2013-11-20 | 杨伟国 | Rescuing system for high-rise building |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110043157A (en) * | 2009-10-21 | 2011-04-27 | 박성래 | Tap box for ladder vehicle |
| CN203291405U (en) * | 2013-06-18 | 2013-11-20 | 杨伟国 | Rescuing system for high-rise building |
Non-Patent Citations (1)
| Title |
|---|
| 刘杰;: "扑救高层建筑火灾的危险及应注意的关键环节", 消防技术与产品信息, no. 05, 15 May 2015 (2015-05-15) * |
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