CN115154974A - Fire fighting system and optimization method thereof - Google Patents
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- A—HUMAN NECESSITIES
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- A62C37/50—Testing or indicating devices for determining the state of readiness of the equipment
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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
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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Abstract
The application relates to a fire fighting system and an optimization method thereof, which relate to the field of fire fighting, wherein the method comprises the steps of obtaining model information and service time information of a current fire fighting terminal and acquired sensing data of the current fire fighting terminal; determining an error mean value of the current fire-fighting terminal according to the model information and the use time information based on a preset error model, wherein the error model comprises the relationship among the model information, the use time information and the error mean value; correcting the sensing data according to the error average value to obtain standard sensing data; and outputting standard perception data. This application is through the model information, the utility time information and the perception data that acquire current fire control terminal to call the error model and can assess the current produced error of self of fire control terminal, and then revise the perception data, in order to dwindle the error that produces, improve the accuracy that the fire control terminal reduces because of the live time is of a specified duration, also make the rate of accuracy that fire extinguishing system reported to the police obtain promoting, realize the optimization to fire extinguishing system.
Description
Technical Field
The application relates to the field of fire fighting, in particular to a fire fighting system and an optimization method thereof.
Background
Generally, a fire fighting system installed in a building generally includes a fire fighting host and a plurality of fire fighting terminals. The plurality of fire-fighting terminals are respectively arranged at positions convenient to take in each floor of the building.
For some old fire-fighting systems, the delivery time of the fire-fighting host is earlier, the service time is longer, along with the rapid development of the science and technology level, the functions can not meet the actual fire-fighting requirements any more, and the performance of the fire-fighting host is gradually reduced, but the replacement of the fire-fighting host also needs higher cost.
Disclosure of Invention
In order to optimize an existing fire fighting system, the application provides a fire fighting system and an optimization method thereof.
In a first aspect, the present application provides a fire fighting system optimization method, which adopts the following technical scheme:
a fire protection system optimization method, comprising:
acquiring model information and use time information of a current fire-fighting terminal and acquired sensing data of the current fire-fighting terminal;
determining an error mean value of the current fire-fighting terminal according to the model information and the use time information based on a preset error model, wherein the error model comprises the relationship among the model information, the use time information and the error mean value;
correcting the sensing data according to the error average value to obtain standard sensing data;
and outputting standard perception data.
Through adopting above-mentioned technical scheme, through model information, practical time information and the perception data that acquire current fire control terminal to call the error model and can assess the current produced error of self of fire control terminal, and then revise the perception data, in order to dwindle the error that produces, improve the accuracy that the fire control terminal reduces because of the live time is of a specified duration, also make the rate of accuracy that the fire extinguishing system reported to the police obtain promoting, realize the optimization to the fire extinguishing system.
Optionally, after the current fire-fighting terminal sends out alarm information, first position information of the current fire-fighting terminal and second position information of a fire disaster are acquired, wherein the alarm information is output when the sensing data exceeds a preset warning value;
judging whether the distance between a fire-fighting terminal and second position information of a fire is smaller than a preset distance or not according to the acquired first position information of all the fire-fighting terminals;
if yes, judging whether the fire-fighting terminal outputs alarm information or not;
and if not, correcting the sensing data acquired by the fire-fighting terminal according to a preset warning value.
Through adopting above-mentioned technical scheme, when the conflagration takes place, can carry out the secondary calibration to its nearby fire control terminal according to the second position information that the conflagration took place, and then improve the degree of accuracy that fire extinguishing system reported to the police.
Optionally, the method for establishing the error model includes:
acquiring model information and historical sensing data of each fire-fighting terminal, wherein the historical sensing data comprises sensing data detected by each fire-fighting terminal, calibration sensing data detected by each fire-fighting terminal and using time information detected by each fire-fighting terminal;
presetting a plurality of time periods;
and determining and recording an error mean value according to the sensing data and the calibration sensing data of which the use time information is in the same time period based on a preset calculation rule.
Optionally, the method for determining the mean error value according to the sensing data and the calibration sensing data at the same time period based on the preset calculation rule includes:
calculating the difference value between the calibration sensing data and the sensing data detected each time, and recording the difference value as an error value;
counting the detection times in each time period according to the use time information in each detection;
and calculating the error mean value according to the formula error mean value = the sum of the error values in the same time period/the detection times in the time period.
In a second aspect, the present application provides a fire fighting system, which adopts the following technical solution:
a fire fighting system comprises a fire fighting terminal, a control module and a fire fighting host;
the fire-fighting terminal is used for acquiring and outputting sensing data;
the control module is connected with the fire-fighting terminal and is used for acquiring the model information, the service time information and the acquired sensing data of the current fire-fighting terminal; the error module is used for determining the error mean value of the current fire-fighting terminal according to the model information and the service time information based on a preset error model, and the error module comprises the relationship among the model information, the service time information and the error mean value; the system is used for correcting the sensing data according to the error average value to obtain standard sensing data; and for outputting standard perception data; the fire fighting host is also used for monitoring the working state of the fire fighting host;
the fire-fighting host is respectively connected with the control module and the fire-fighting terminal, and is used for receiving the standard sensing data and outputting an alarm signal when the value reflected by the standard sensing data exceeds a preset warning value.
Optionally, the control module is further configured to:
acquiring the working state of the fire-fighting host at intervals of a preset time length, and judging whether the working state of the fire-fighting host is an abnormal state or not;
and if so, uploading the calibration sensing data to a remote server.
Optionally, the system further comprises a remote server;
the remote server is connected with the control module and is used for acquiring first position information of the current fire-fighting terminal and second position information of fire occurrence after the current fire-fighting terminal sends alarm information, wherein the alarm information is output when the sensing data exceeds a preset warning value; the fire fighting terminal is used for acquiring first position information of all fire fighting terminals, and judging whether the distance between the fire fighting terminal and second position information of a fire disaster is smaller than a preset distance or not; if so, judging whether the fire-fighting terminal outputs alarm information or not;
and the control module is also used for correcting the sensing data acquired by the fire-fighting terminal according to a preset warning value when the fire-fighting terminal does not output the alarm information.
Optionally, the remote server is further configured to output an alarm signal when the control module monitors that the fire-fighting host is in an abnormal state and a value reflected by the standard sensing data exceeds a preset warning value.
Optionally, the control module is further connected with a power management module, and the power management module is used for providing power for the control module and monitoring and managing power supply electric quantity.
In summary, the present application includes at least one of the following beneficial technical effects:
model information, practical time information and perception data through acquireing current fire control terminal to call the error model and can assess the current produced error of self of fire control terminal, and then revise perception data, in order to reduce the error that produces, improve the accuracy that fire control terminal reduces because of the live time is of a specified duration, also make the rate of accuracy that the fire extinguishing system reported to the police obtain promoting, realize the optimization to the fire extinguishing system.
Drawings
Fig. 1 is a system diagram of a fire fighting system according to an embodiment of the present application.
Description of the reference numerals: 1. a fire-fighting terminal; 2. a control module; 3. a fire-fighting host; 4. a remote server; 5. and a power management module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to fig. 1 and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
It can be understood that to some fire extinguishing systems that put into service life for a long time, the time of leaving the factory of its fire control host computer is earlier, and the live time is longer again for the function of fire extinguishing host computer has certain limitation, can't satisfy the current demand of fire extinguishing system, and along with the live time is longer and longer, its performance is also progressively worse. However, replacing the fire host requires a higher cost. Therefore, the embodiment of the application discloses a fire fighting system optimization method which is mainly applied to a server of a fire fighting system.
Referring to fig. 1, first, it is to be noted that the fire fighting system includes: the fire-fighting system comprises a fire-fighting terminal 1, a control module 2, a fire-fighting host 3 and a far-end server 4, wherein the control module 2, the fire-fighting host 3 and the far-end server 4 jointly form a server of the fire-fighting system.
The main flow of the fire fighting system optimization method provided by the application is described as follows:
step S101: obtaining model information and use time information of the current fire-fighting terminal and sensing data acquired by the information.
In the application, the service time information is a time difference between the current time and the factory time of the fire fighting terminal 1, that is, the service time information can be obtained when the factory time of the fire fighting terminal 1 is obtained. In order to facilitate the acquisition of information, the model information of the fire-fighting terminal 1 is bound with the factory time information. Preferably, when the fire fighting terminal 1 outputs the sensing data, the type information of the fire fighting terminal 1 is carried. Namely, when the sensing data is acquired, the model information and the factory time can be acquired at the same time. The model information may include a model code and a factory number, so as to distinguish the fire terminals 1 of the same model. Of course, the model information and the factory time may be obtained in other manners, which are not described herein by way of example.
Step S102: and determining the error mean value of the current fire-fighting terminal according to the model information and the service time information based on a preset error model.
The error module comprises the relation among model information, use time information and an error mean value. Specifically, the method for establishing the error model comprises the following steps:
(1) And obtaining model information and historical sensing data of each fire-fighting terminal.
The historical sensing data comprises sensing data detected by the fire fighting terminal 1 each time, calibration sensing data detected each time and use time information detected each time. The calibration sensing data may be sensing data detected by other fire terminals 1.
(2) Presetting a plurality of time periods;
the duration of each time period may be 2 months, 3 months, or other duration. In a specific example, 2 months are used as the duration of each time period, and the time periods are divided into the following parts from the factory time: 0-2 months, 2-4 months, 4-6 months, \8230;. Of course, in other embodiments, the duration of each time period may vary.
(3) And determining and recording an error mean value according to the sensing data and the calibration sensing data of which the use time information is in the same time period based on a preset calculation rule.
Specifically, calculating the difference value between the calibration sensing data and the sensing data detected each time, and recording the difference value as an error value; counting the detection times in each time period according to the using time information in each detection; and calculating the error mean value according to the formula error mean value = the sum of error values in the same time period/the detection times in the time period.
Step S103: correcting the sensing data according to the error average value to obtain standard sensing data;
it should be noted that, for each detection, the relationship between the sensing data and the calibration sensing data may be that the sensing data is smaller than the calibration sensing data, the sensing data is equal to the calibration sensing data, and the sensing data is larger than the calibration sensing data, so the error mean value may be positive or negative. And combining the error mean value with the perception data in a specific mode to finish the correction of the perception data so as to obtain the standard perception data. In one specific example, the standard perceptual data is a sum of the mean of error and the perceptual data.
Step S104: and outputting standard perception data.
By this, the steps S101 to S104 can complete the correction processing of the perception data. In the present application, the above steps are performed in the control module 2.
Besides, the control module 2 can also monitor the working state of the fire-fighting host 3.
The specific monitoring method comprises the following steps: and acquiring the working state of the fire-fighting host 3 at intervals of a preset time, judging whether the working state of the fire-fighting host 3 is an abnormal state or not, and uploading the calibration sensing data to the remote server 4 if the working state of the fire-fighting host 3 is the abnormal state. If not, the calibration sensing data is uploaded to the fire-fighting host 3.
Since the fire-fighting host 3 cannot receive and execute any operation when the working state of the fire-fighting host 3 is abnormal, the control module 2 needs to send request information to the fire-fighting host 3 every preset time period, so as to periodically acquire the working state of each fire-fighting host 3. Generally, the fire host 3 can feed back response information when receiving request information. Based on this, the control module 2 can acquire the operating state of the fire-fighting host 3 by acquiring the response information. When the fire-fighting host 3 feeds back within the preset response time after receiving the request message, that is, the control module 2 receives the response message, the working state of the fire-fighting host 3 is determined as a normal state. When the fire-fighting host 3 makes a feedback within a preset response time after receiving the request message, the working state of the fire-fighting host 3 is determined as an abnormal state. The preset time period may be 20 minutes, 30 minutes, 1 hour and the like, the preset response time period may be 1 minute, 2 minutes or 5 minutes, and the preset time period and the preset response time period may be adaptively adjusted according to actual conditions.
When the working state of the fire-fighting host machine 3 is a normal state, the fire-fighting host machine 3 can receive the standard sensing data and output an alarm signal when the value reflected by the standard sensing data exceeds a preset warning value.
On the contrary, when the working state of the fire-fighting host 3 is an abnormal state, the remote server 4 can receive the standard sensing data and output an alarm signal when the value reflected by the standard sensing data exceeds the preset warning value. Wherein, the preset warning value can be adaptively adjusted according to the actual situation.
It should be noted that, when the working state of the fire-fighting host 3 is a normal state, the fire-fighting host 3 outputs an alarm signal to the corresponding fire-fighting terminal 1 and the remote server 4 at the same time. The fire fighting terminal 1 gives an alarm when receiving the alarm signal. And the remote server 4 stores and displays corresponding alarm information when receiving the alarm signal.
In order to further optimize the sensing data collected by the fire fighting terminal 1, the fire fighting system optimization method of the application further includes:
step S105: after the current fire-fighting terminal sends alarm information, first position information of the current fire-fighting terminal and second position information of fire occurrence are obtained.
Preferably, a plurality of cameras are installed in the building, and when the fire fighting terminal 1 is installed in the building, the first position information thereof is stored in the remote server 4. Meanwhile, the shooting device can also collect images of the fire, and second position information of the fire is further determined through image recognition. Of course, in other embodiments, the first location information of the fire fighting terminal 1 and the second location information of the fire occurrence may be collected in other manners.
Step S106: judging whether the distance between a fire-fighting terminal and second position information of a fire is smaller than a preset distance or not according to the acquired first position information of all the fire-fighting terminals;
if yes, judging whether the fire-fighting terminal outputs alarm information or not;
if not, correcting the sensing data acquired by the fire-fighting terminal according to a preset warning value.
This step is mainly directed to the case of fire. When a fire breaks out, the fire protection terminals 1 which are within a preset distance from the position corresponding to the second position information should be in an alarm state. Based on this, the positional relationship of each fire fighting terminal 1 with the fire occurrence position can be determined by calculating the distance between each fire fighting terminal 1 and the position corresponding to the second position information. When the distance between the fire fighting terminal 1 and the fire occurrence position is smaller than the preset distance, it indicates that the fire fighting terminal 1 should be in an alarm state.
Further, whether the fire fighting terminal 1 outputs alarm information or not is judged. If yes, the sensing data of the fire-fighting terminal 1 is more accurate, or the standard sensing data corrected by the control module 2 is more accurate. If not, the sensing data of the fire-fighting terminal 1 or the standard sensing data corrected by the control module 2 is indicated to be deviated from the actual value. For this reason, further correction of the sensing data collected by the fire fighting terminal 1 is required.
In the embodiment of the present application, the correction method specifically includes: first, the value reflected by the sensing data should exceed a preset alarm value. However, correcting the sensing data to this extent does not satisfy the requirement for the measurement accuracy, and therefore, how much the sensing data should actually be measured is also considered. The actual value of the sensing data of the fire fighting terminal 1 can be determined by the sensing data of the fire occurrence location and the distance between the fire occurrence location and the fire fighting terminal 1. For example: if the sensing data is smoke concentration, the smoke concentration of the fire occurrence position needs to be measured, and then the smoke concentration measured by the fire protection terminal 1 is determined according to the sensing data of the fire occurrence position, the distance between the fire occurrence position and the fire protection terminal 1 and a preset smoke diffusion speed. Wherein the smoke diffusion rate can be estimated based on historical experience.
In this step, the preset distance may be 8 meters, and may also be adaptively adjusted according to actual conditions.
Preferably, the steps S105 and S106 are executed in the remote server 4 of the present application. Of course, according to practical situations, the fire fighting system optimization method provided by the present application can also be executed in one server, and the specific manner in the embodiments of the present application will not be described in detail.
By combining the optimization method, the embodiment of the application also discloses a fire fighting system.
Wherein, fire control terminal 1 is provided with a plurality ofly, evenly distributed in each floor of building. The fire-fighting terminal 1 is used for collecting perception data and outputting the perception data. The sensing data may be the smoke concentration and/or the temperature, among others.
The control module 2 is respectively connected with the plurality of fire-fighting terminals 1 and is used for acquiring the model information, the service time information and the acquired sensing data of the current fire-fighting terminals 1; the error module is used for determining the error mean value of the current fire-fighting terminal 1 according to the model information and the service time information based on a preset error model, and the error module comprises the relationship among the model information, the service time information and the error mean value; the system is used for correcting the sensing data according to the error mean value to obtain standard sensing data; and for outputting standard perception data; the monitoring device is also used for monitoring the working state of the fire-fighting host 3; and the method is also used for correcting the sensing data acquired by the fire fighting terminal 1 according to a preset warning value when the fire fighting terminal 1 does not output alarm information.
The fire-fighting host 3 is respectively connected with the control module 2 and the fire-fighting terminal 1, and is used for receiving the standard sensing data and outputting an alarm signal when the value reflected by the standard sensing data exceeds a preset alarm value.
The remote server 4 is connected with the control module 2 and is used for acquiring first position information of the current fire-fighting terminal 1 and second position information of fire occurrence after the current fire-fighting terminal 1 sends alarm information, wherein the alarm information is output when the sensing data exceeds a preset warning value; and is used for judging whether the distance between the fire-fighting terminal 1 and the second position information of the fire disaster is smaller than the preset distance according to the acquired first position information of all the fire-fighting terminals 1; if yes, judging whether the fire fighting terminal 1 outputs alarm information or not; and when the control module 2 monitors that the fire-fighting host 3 is in an abnormal state, the control module is used for outputting an alarm signal when the value reflected by the standard sensing data exceeds a preset warning value.
The control module 2 is further connected with a power management module 5, and the power management module 5 is used for providing power for the control module 2 and monitoring and managing the electric quantity of the power.
The foregoing is a preferred embodiment of the present application and is not intended to limit the scope of the application in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Claims (9)
1. A fire fighting system optimization method is applied to a server of a fire fighting system, and is characterized in that:
acquiring model information, use time information and acquired sensing data of a current fire-fighting terminal;
determining an error mean value of the current fire-fighting terminal according to the model information and the use time information based on a preset error model, wherein the error model comprises the relationship among the model information, the use time information and the error mean value;
correcting the sensing data according to the error average value to obtain standard sensing data;
and outputting standard perception data.
2. The method of claim 1, wherein: further comprising:
after the current fire-fighting terminal sends alarm information, acquiring first position information of the current fire-fighting terminal and second position information of fire occurrence, wherein the alarm information is output when the sensing data exceeds a preset warning value;
judging whether the distance between a fire-fighting terminal and second position information of a fire is smaller than a preset distance or not according to the acquired first position information of all the fire-fighting terminals;
if so, judging whether the fire-fighting terminal outputs alarm information or not;
if not, correcting the sensing data acquired by the fire-fighting terminal according to a preset warning value.
3. The method of claim 1, wherein: the method for establishing the error model comprises the following steps:
acquiring model information and historical sensing data of each fire-fighting terminal, wherein the historical sensing data comprises sensing data detected by each fire-fighting terminal, calibration sensing data detected by each fire-fighting terminal and using time information detected by each fire-fighting terminal;
presetting a plurality of time periods;
and determining and recording an error mean value according to the sensing data and the calibration sensing data of which the use time information is in the same time period based on a preset calculation rule.
4. The method of claim 3, wherein: the method for determining the mean error value according to the sensing data and the calibration sensing data which are in the same time period at the use time based on the preset calculation rule comprises the following steps:
calculating the difference value between the calibration sensing data and the sensing data detected each time, and recording the difference value as an error value;
counting the detection times in each time period according to the using time information in each detection;
and calculating the error mean value according to the formula error mean value = the sum of error values in the same time period/the detection times in the time period.
5. A fire fighting system, characterized in that: the system comprises a fire-fighting terminal (1), a control module (2) and a fire-fighting host (3);
the fire-fighting terminal (1) is used for collecting and outputting sensing data;
the control module (2) is connected with the fire-fighting terminal (1) and is used for acquiring the model information, the service time information and the acquired sensing data of the current fire-fighting terminal (1); the error module is used for determining the error mean value of the current fire-fighting terminal (1) according to the model information and the use time information based on a preset error model, and the error module comprises the relationship among the model information, the use time information and the error mean value; the system is used for correcting the sensing data according to the error average value to obtain standard sensing data; and for outputting standard perception data; the fire fighting host (3) is also used for monitoring the working state of the fire fighting host;
the fire-fighting host (3) is respectively connected with the control module (2) and the fire-fighting terminal (1) and is used for receiving the standard sensing data and outputting an alarm signal when the value reflected by the standard sensing data exceeds a preset warning value.
6. A fire fighting system as defined in claim 5, wherein: the control module (2) is further configured to:
acquiring the working state of the fire-fighting host (3) at intervals of a preset time length, and judging whether the working state of the fire-fighting host (3) is an abnormal state or not;
if yes, the calibration sensing data is uploaded to a remote server (4).
7. A fire fighting system as defined in claim 6, wherein: further comprises a remote server (4);
the remote server (4) is connected with the control module (2) and is used for acquiring first position information of the current fire-fighting terminal (1) and second position information of a fire disaster after the current fire-fighting terminal (1) sends alarm information, wherein the alarm information is output information when the sensing data exceeds a preset warning value; the fire fighting terminal (1) is used for acquiring first position information of all the fire fighting terminals (1), and judging whether the distance between the fire fighting terminals (1) and second position information of a fire disaster is smaller than a preset distance or not; if yes, judging whether the fire-fighting terminal (1) outputs alarm information or not;
the control module (2) is also used for correcting the sensing data collected by the fire-fighting terminal (1) according to a preset warning value when the fire-fighting terminal (1) does not output warning information.
8. A fire fighting system as defined in claim 7, wherein: the remote server (4) is further used for outputting an alarm signal when the control module (2) monitors that the fire-fighting host (3) is in an abnormal state and a value reflected by the standard sensing data exceeds a preset alarm value.
9. A fire fighting system as defined in claim 5, wherein: the control module (2) is further connected with a power management module (5), and the power management module (5) is used for providing power for the control module (2) and monitoring and managing the electric quantity of the power supply.
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| CN114462974A (en) * | 2021-10-28 | 2022-05-10 | 中国矿业大学(北京) | Intelligent fire-fighting full-chain prevention and control system and multi-source information fusion decision-making method |
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| EP3731198A1 (en) * | 2019-04-24 | 2020-10-28 | Minimax Viking Research & Development GmbH | Fire protection robot for control of fire protection devices, corresponding fire protection system and method for operating the same |
| CN114462974A (en) * | 2021-10-28 | 2022-05-10 | 中国矿业大学(北京) | Intelligent fire-fighting full-chain prevention and control system and multi-source information fusion decision-making method |
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