CN115206051A - Smoke detection method and system based on space-time internet of things - Google Patents
Smoke detection method and system based on space-time internet of things Download PDFInfo
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- CN115206051A CN115206051A CN202110390183.2A CN202110390183A CN115206051A CN 115206051 A CN115206051 A CN 115206051A CN 202110390183 A CN202110390183 A CN 202110390183A CN 115206051 A CN115206051 A CN 115206051A
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- 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
- G08B17/103—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means using a light emitting and receiving device
- G08B17/107—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means using a light emitting and receiving device for detecting light-scattering due to smoke
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Abstract
The invention provides a smoke detection method and system based on space-time internet of things, which can monitor a subsequent smoke detection device after the earliest smoke detection device detects smoke, and avoid the problem that one smoke detection device triggers an alarm when detecting smoke; meanwhile, as the types of the smoke are subjected to spectral analysis respectively, the fire smoke is considered to be generated only when the smoke conforms to the specific smoke type, the detection accuracy is further improved, and further false alarm is avoided.
Description
Technical Field
The invention relates to the technical field of electronics, in particular to a smoke detection method and system based on space-time internet of things.
Background
The existing smoke alarms have a certain false alarm rate, namely, the smoke generated by fire and the like can not cause false alarm, so that the problem to be solved urgently is how to reduce the false alarm rate and improve the alarm success rate.
Disclosure of Invention
The present invention is directed to solving the above problems.
The invention mainly aims to provide a smoke detection method based on space-time internet of things;
another object of the present invention is to provide a smoke detection system based on spatiotemporal physical association.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the invention provides a smoke detection method based on space-time internet of things on one hand, which comprises the following steps: the 1 st smoke detection device collects smoke information and determines the 1 st time information of the collected smoke information; the 1 st smoke detection device sends the 1 st acquisition information to the server, wherein the 1 st acquisition information comprises the identification information of the 1 st smoke detection device and the 1 st time information; the server receives the 1 st acquisition information, and performs spectral analysis on the 1 st acquisition information to obtain the 1 st spectral information; the server receives 2 nd acquisition information to n th acquisition information sent by the 2 nd smoke detection device to the n th smoke detection device, wherein the ith smoke detection device determines ith time information of the acquired smoke information, and carries identification information of the ith smoke detection device and the ith time information in the ith acquisition information, wherein i =2, … …, n is more than or equal to 2 and is a natural number; the 1 st time information is earlier than each ith time information, the 1 st time information and each ith time information accord with preset conditions, and the identification information of the 1 st smoke detection device and the identification information of each ith smoke detection device accord with a preset position relationship; the server respectively carries out spectrum analysis on the 2 nd acquisition information to the nth acquisition information to obtain the 2 nd spectrum information to the nth spectrum information; the server judges whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a preset matching rule or not, and if so, specific smoke is determined to be generated.
The server judges whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a preset matching rule or not, and the method comprises the following steps of: the server judges whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a specific smoke spectral curve or not, and if so, the server determines that the spectral information accords with a preset matching rule.
Wherein, the server respectively to the 2 nd acquisition information to the nth acquisition information carry out spectral analysis and include: and the server performs spectral analysis according to the sequence of the 2 nd time information to the nth time information in the 2 nd acquisition information to the nth acquisition information.
Wherein the preset conditions include: the time interval corresponds to a preset interval.
Wherein, predetermine the position relation and include: in the same predetermined area.
In another aspect, the present invention provides a smoke detection system based on space-time internet of things, including: n smoke detection devices and a server; wherein: the 1 st smoke detection device is used for collecting smoke information and determining 1 st time information of the collected smoke information; sending the 1 st acquisition information to a server, wherein the 1 st acquisition information comprises the identification information of the 1 st smoke detection device and the 1 st time information; the 2 nd smoke detection device to the nth smoke detection device are respectively used for collecting smoke information and determining the 2 nd time information to the nth time information of the collected smoke information; sending the 2 nd acquisition information to the nth acquisition information to a server, wherein the ith acquisition information comprises: the ith smoke sensation detection device determines ith time information of the collected smoke information and identification information of the ith smoke sensation device, wherein i =2, … …, n is not less than 2 and is a natural number, the 1 st time information is earlier than each ith time information, the 1 st time information and each ith time information accord with preset conditions, and the identification information of the 1 st smoke sensation detection device and the identification information of each ith smoke sensation device accord with a preset position relationship; the server is used for receiving the 1 st acquisition information and carrying out spectral analysis on the 1 st acquisition information to obtain the 1 st spectral information; receiving 2 nd acquisition information to n th acquisition information sent by a 2 nd smoke detection device to an nth smoke detection device; respectively carrying out spectrum analysis on the 2 nd acquisition information to the nth acquisition information to obtain the 2 nd spectrum information to the nth spectrum information; and judging whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a preset matching rule or not, and if so, determining that the specific smoke is generated.
The server judges whether the 1 st spectral information, the 2 nd spectral information and the nth spectral information accord with a preset matching rule or not in the following mode: and the server is specifically used for judging whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a specific smoke spectral curve or not, and if so, determining that the spectral information accords with a preset matching rule.
The server respectively carries out spectrum analysis on the 2 nd acquisition information to the nth acquisition information in the following modes: and the server is specifically used for performing spectrum analysis according to the sequence of the 2 nd time information to the nth time information in the 2 nd acquisition information to the nth acquisition information.
Wherein the preset conditions include: the time interval corresponds to a preset interval.
Wherein, predetermine the position relation and include: in the same predetermined area.
According to the technical scheme provided by the invention, the smoke detection method and the smoke detection system based on the space-time internet of things can monitor the subsequent smoke detection devices after the earliest smoke detection device detects smoke, so that the problem that one smoke detection device triggers an alarm when detecting smoke is avoided; meanwhile, as the types of the smoke are subjected to spectral analysis respectively, the fire smoke is considered to be generated only when the smoke conforms to the specific smoke type, the detection accuracy is further improved, and further false alarm is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of a smoke detection method based on spatiotemporal-physical association according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a smoke detection system based on space-time internet of things according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
Fig. 1 shows a flowchart of a smoke detection method based on spatiotemporal physical association provided by an embodiment of the present invention, and referring to fig. 1, the smoke detection method based on spatiotemporal physical association provided by an embodiment of the present invention includes:
s1, the 1 st smoke detection device collects smoke information and determines the 1 st time information of the collected smoke information.
Specifically, n smoke detection devices are arranged in one environment, and each smoke detection device can respectively send collected information to a server after collecting smoke information, so that the server can compare and analyze the collected information.
In the invention, the 1 st smoke detection device can be a smoke detection device closest to a fire point, after the 1 st smoke detection device collects smoke information, the 1 st time information can be determined, and the 1 st time information is earlier than the 2 nd time information to the nth time information, namely, the 1 st smoke detection device is the smoke detection device which finds the fire at the earliest, and the server can judge whether the fire is on site or not after receiving the 1 st collected information sent by the 1 st smoke detection device.
As an optional implementation manner of the embodiment of the invention, the 1 st smoke detection device, the 2 nd smoke detection device and the nth smoke detection device are respectively time-synchronized with the server. Therefore, the time reference of each smoke detection device can be ensured to be the same, so that the server can judge the subsequent fire more accurately.
S2, the 1 st smoke detection device sends the 1 st acquisition information to a server, wherein the 1 st acquisition information comprises the identification information and the 1 st time information of the 1 st smoke detection device.
Specifically, after the 1 st smoke detection device sends the 1 st acquisition information to the server, the server may determine that the 1 st time information is the earliest time information, and determine the identification information of the 1 st smoke detection device, so that the identification information of other smoke detection devices located in the same area may be acquired, so as to perform subsequent determination.
And S3, the server receives the 1 st acquisition information, and performs spectral analysis on the 1 st acquisition information to obtain the 1 st spectral information.
Specifically, after receiving the 1 st acquisition information, the server performs spectral analysis on the 1 st acquisition information, so as to obtain what type of smoke the 1 st smoke detection device detects, and determine spectral information of the smoke.
As an alternative to the embodiment of the present invention, the server determines that the 1 st spectral information corresponds to the specific spectral information. The server of the invention trains the spectrum information of various smog in advance, and the specific spectrum information is the spectrum information obtained after the combustion of the comburent in the fire.
S4, the server receives 2 nd to nth acquisition information sent by the 2 nd to nth smoke detection devices, wherein the ith smoke detection device determines ith time information of the acquired smoke information, and carries identification information of the ith smoke detection device and the ith time information in the ith acquisition information, wherein i =2, … …, n, n is more than or equal to 2 and is a natural number; the 1 st time information is earlier than each ith time information, the 1 st time information and each ith time information accord with preset conditions, and the identification information of the 1 st smoke detection device and the identification information of each ith smoke detection device accord with a preset position relationship.
Specifically, after receiving the 1 st acquisition information sent by the 1 st smoke detection device, the server continues to receive acquisition information sent by other smoke detection devices in the same environment, and the acquisition information sent by the other smoke detection devices also includes respective identification information and respective time information during acquisition, so that the server performs subsequent judgment.
The 1 st time information is earlier than each ith time information, the 1 st time information and each ith time information accord with preset conditions, and the identification information of the 1 st smoke detection device and the identification information of each ith smoke detection device accord with a preset position relation. Specifically, the 1 st time information is the earliest time information, and every other ith time information is later than the 1 st time information. As an optional implementation manner of the embodiment of the present invention, the preset condition includes: the time interval conforms to a preset interval; the preset positional relationship includes: in the same predetermined area.
And S5, the server respectively performs spectrum analysis on the 2 nd acquisition information to the nth acquisition information to obtain the 2 nd spectrum information to the nth spectrum information.
Specifically, the server further performs spectrum analysis on each of the acquired information after receiving the 2 nd acquired information to the nth acquired information, so as to obtain spectrum information of other acquired information.
As an optional implementation manner of the embodiment of the present invention, the performing, by the server, spectral analysis on the 2 nd acquisition information to the nth acquisition information respectively includes: and the server performs spectral analysis according to the sequence of the 2 nd time information to the nth time information in the 2 nd acquisition information to the nth acquisition information. Specifically, the server can perform spectrum analysis according to the sequence of the time information, so that the analysis efficiency is improved.
S6, the server judges whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a preset matching rule or not, and if so, specific smoke is determined to be generated.
Specifically, the server considers that smoke generated by a fire instead of other smoke is generated after judging that the 1 st spectral information, the 2 nd spectral information and the nth spectral information all accord with a preset matching rule, so that the accuracy of fire smoke detection is improved.
As an optional implementation manner of the embodiment of the present invention, the determining, by the server, whether the 1 st spectral information, the 2 nd spectral information, through the nth spectral information conform to the preset matching rule includes: the server judges whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a specific smoke spectral curve or not, and if so, the server determines that the spectral information accords with a preset matching rule. Specifically, only if each spectrum information accords with a specific smoke spectrum curve, specific smoke, namely fire smoke, is considered to be generated, so that the detection accuracy is improved, and false alarm is prevented.
It should be noted that the above steps S1 to S3 and steps S4 to S5 are not limited to this sequence, and may be performed in an overlapping manner, that is, when steps S1 to S3 are performed, if the information collected by the 2 nd to nth smoke detection devices is transmitted to the server at the same time, and the server may receive other collected information while calculating the spectral information.
Therefore, by using the smoke detection method based on the space-time internet of things provided by the embodiment of the invention, the subsequent smoke detection devices can be monitored after the earliest smoke detection device detects smoke, so that the problem that one smoke detection device triggers an alarm when detecting smoke is avoided; meanwhile, as the types of the smoke are subjected to spectral analysis respectively, the fire smoke is considered to be generated only when the smoke conforms to the specific smoke type, the detection accuracy is further improved, and further false alarm is avoided.
Fig. 2 is a schematic structural diagram of a smoke detection system based on a spatio-temporal physical association according to an embodiment of the present invention, where the smoke detection system based on a spatio-temporal physical association is applied to the above method, and only the structure and function of the smoke detection system based on a spatio-temporal physical association are briefly described below, and other things are not considered to be the best, please refer to the above description of the smoke detection method based on a spatio-temporal physical association, referring to fig. 2, the smoke detection system based on a spatio-temporal physical association according to an embodiment of the present invention includes: n smoke detection devices and a server; wherein:
the 1 st smoke detection device is used for collecting smoke information and determining 1 st time information of the collected smoke information; sending the 1 st acquisition information to a server, wherein the 1 st acquisition information comprises identification information of the 1 st smoke detection device and 1 st time information;
the 2 nd smoke detection device to the nth smoke detection device are respectively used for collecting smoke information and determining the 2 nd time information to the nth time information of the collected smoke information; sending the 2 nd acquisition information to the nth acquisition information to a server, wherein the ith acquisition information comprises: the ith smoke detection device determines ith time information of the collected smoke information and identification information of the ith smoke detection device, wherein i =2, … …, n, n is more than or equal to 2 and is a natural number, the 1 st time information is earlier than each ith time information, the 1 st time information and each ith time information accord with preset conditions, and the identification information of the 1 st smoke detection device and the identification information of each ith smoke detection device accord with a preset position relation;
the server is used for receiving the 1 st acquisition information and performing spectral analysis on the 1 st acquisition information to obtain the 1 st spectral information; receiving 2 nd acquisition information to n th acquisition information sent by a 2 nd smoke detection device to an nth smoke detection device; respectively carrying out spectrum analysis on the 2 nd acquisition information to the nth acquisition information to obtain the 2 nd spectrum information to the nth spectrum information; and judging whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a preset matching rule or not, and if so, determining that the specific smoke is generated.
As an optional implementation manner of the embodiment of the present invention, the server determines whether the 1 st spectral information, the 2 nd spectral information, through the nth spectral information conform to a preset matching rule by the following method: and the server is specifically used for judging whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a specific smoke spectral curve or not, and if so, determining that the spectral information accords with a preset matching rule.
As an optional implementation manner of the embodiment of the present invention, the server performs spectrum analysis on the 2 nd acquisition information to the nth acquisition information respectively by the following manners: and the server is specifically used for performing spectral analysis according to the sequence of the 2 nd time information to the nth time information in the 2 nd acquisition information to the nth acquisition information.
As an optional implementation manner of the embodiment of the present invention, the preset condition includes: the time interval corresponds to a preset interval.
As an optional implementation manner of the embodiment of the present invention, the preset position relationship includes: in the same predetermined area.
Therefore, by using the smoke detection system based on the space-time internet of things provided by the embodiment of the invention, the subsequent smoke detection devices can be monitored after the earliest smoke detection device detects smoke, so that the problem that one smoke detection device triggers an alarm when detecting smoke is avoided; meanwhile, as the types of the smoke are subjected to spectral analysis respectively, the fire smoke is considered to be generated only when the smoke conforms to the specific smoke type, the detection accuracy is further improved, and further false alarm is avoided.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art without departing from the principle and spirit of the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A smoke detection method based on space-time internet of things is characterized by comprising the following steps:
the 1 st smoke detection device collects smoke information and determines the 1 st time information of the collected smoke information;
the 1 st smoke detection device sends 1 st acquisition information to a server, wherein the 1 st acquisition information comprises identification information of the 1 st smoke detection device and the 1 st time information;
the server receives the 1 st acquisition information, and performs spectral analysis on the 1 st acquisition information to obtain 1 st spectral information;
the server receives 2 nd acquisition information to n th acquisition information which are sent by 2 nd smoke detection device to n th smoke detection device, wherein the ith smoke detection device determines the ith time information of the acquired smoke information, and carries the identification information of the ith smoke detection device and the ith time information in the ith acquisition information, wherein i =2, … …, n is more than or equal to 2 and is a natural number; the 1 st time information is earlier than each ith time information, the 1 st time information and each ith time information accord with preset conditions, and the identification information of the 1 st smoke detection device and the identification information of each ith smoke detection device accord with a preset position relationship;
the server respectively carries out spectrum analysis on the 2 nd acquisition information to the nth acquisition information to obtain the 2 nd spectrum information to the nth spectrum information;
the server judges whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a preset matching rule or not, and if so, the server determines that the specific smoke is generated.
2. The method according to claim 1, wherein the server determining whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information conform to a preset matching rule comprises:
the server judges whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a specific smoke spectral curve or not, and if so, the server determines that the spectral information accords with a preset matching rule.
3. The method of claim 1, wherein the server performing the spectral analysis on the 2 nd collected information to the nth collected information respectively comprises:
and the server performs spectrum analysis according to the sequence of the 2 nd time information to the nth time information in the 2 nd acquisition information to the nth acquisition information.
4. The method according to claim 1, wherein the preset condition comprises:
the time interval corresponds to a preset interval.
5. The method according to claim 1, wherein the preset positional relationship comprises:
in the same predetermined area.
6. A smoke detection system based on space-time internet of things is characterized by comprising: n smoke detection devices and a server; wherein:
the 1 st smoke detection device is used for collecting smoke information and determining 1 st time information of the collected smoke information; sending 1 st acquisition information to a server, wherein the 1 st acquisition information comprises identification information of a 1 st smoke detection device and the 1 st time information;
the 2 nd smoke detection device to the nth smoke detection device are respectively used for collecting smoke information and determining the 2 nd time information to the nth time information of the collected smoke information; sending the 2 nd acquisition information to the nth acquisition information to a server, wherein the ith acquisition information comprises: determining ith time information of the collected smoke information and identification information of an ith smoke sensing device by an ith smoke sensing detection device, wherein i =2, … …, n is not less than 2 and is a natural number, the 1 st time information is earlier than each ith time information, the 1 st time information and each ith time information accord with preset conditions, and the identification information of the 1 st smoke sensing detection device and the identification information of each ith smoke sensing device accord with a preset position relationship;
the server is used for receiving the 1 st acquisition information and carrying out spectral analysis on the 1 st acquisition information to obtain the 1 st spectral information; receiving 2 nd acquisition information to n th acquisition information sent by a 2 nd smoke detection device to an nth smoke detection device; respectively carrying out spectrum analysis on the 2 nd acquisition information to the nth acquisition information to obtain the 2 nd spectrum information to the nth spectrum information; and judging whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information accord with a preset matching rule or not, and if so, determining that the specific smoke is generated.
7. The system according to claim 6, wherein the server determines whether the 1 st spectral information, the 2 nd spectral information to the nth spectral information conform to a preset matching rule by:
the server is specifically configured to determine whether the 1 st spectral information, the 2 nd spectral information, through the nth spectral information conform to a specific smoke spectral curve, and if so, determine that the spectral information conforms to a preset matching rule.
8. The system of claim 6, wherein the server performs spectral analysis on the 2 nd acquisition information to the nth acquisition information respectively by:
the server is specifically configured to perform spectral analysis according to the sequence of the 2 nd time information to the nth time information in the 2 nd acquisition information to the nth acquisition information.
9. The system of claim 6, wherein the preset condition comprises:
the time interval corresponds to a preset interval.
10. The system of claim 6, wherein the preset positional relationship comprises:
in the same predetermined area.
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