CN112947172A - Intelligent fire-fighting remote monitoring system and method for park - Google Patents
Intelligent fire-fighting remote monitoring system and method for park Download PDFInfo
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Abstract
The invention belongs to the technical field of fire control monitoring, and discloses a park-oriented intelligent fire control remote monitoring system and a park-oriented intelligent fire control remote monitoring method, wherein the park-oriented intelligent fire control remote monitoring system comprises: the system comprises a data acquisition module, a data preprocessing module, a communication transmission module, a central control module, a hidden danger analysis module, a position determination module, a linkage early warning module, a fire-fighting and extinguishing module, a maintenance management module, a cloud storage module and an updating display module. Through classification processing of collected component state data or facility operation data of the fire-fighting facilities, a proper target clustering number can be determined in a self-adaptive manner, and a target data set is clustered according to the proper target clustering number, so that the accuracy of a classification result is effectively improved; potential hazards of fire-fighting facilities in the garden are analyzed, the fire-fighting level of the garden is calculated, and the potential hazards of fire-fighting places with high fire-fighting levels can be conveniently checked; by the linkage early warning of the other party, the fire control supervision and the coordination of fire control materials in the whole park are improved.
Description
Technical Field
The invention belongs to the technical field of fire control monitoring, and particularly relates to a park-oriented intelligent fire control remote monitoring system and method.
Background
At present, fire safety management plays an important role in preventing fire accidents, and fire-fighting automatic alarm systems and fire-fighting facilities are basically popularized in urban buildings and workplaces, so that fire alarm can be realized to a certain extent. However, fire-fighting systems of buildings in the existing city are relatively independent, and even if the fire-fighting systems are in the same fire-fighting district, the operation units of all the fire-fighting monitoring centers may be different, so that the monitoring centers are difficult to interconnect and intercommunicate.
With the popularization of high-speed broadband networks and the development of big data and cloud computing, network technologies are rapidly applied and developed in different industries. The existing traditional fire-fighting facilities are comprehensively transformed and upgraded in an informationized and intelligentized mode through a network technology, a hardware technology and a software technology, distributed sharing and layered management of remote monitoring information of the fire-fighting facilities are achieved, quick response to faults and dangerous situations is achieved, efficient maintenance of equipment facilities is achieved, and the method is the era trend of future fire-fighting facilities and property management. Therefore, a new intelligent fire-fighting remote monitoring system and method facing to the campus are needed to solve the problems in the prior art.
Through the above analysis, the problems and defects of the prior art are as follows: the fire-fighting systems of all buildings in the existing city are relatively independent, and even if the fire-fighting systems are in the same fire-fighting district, the operation units of all the fire-fighting monitoring centers may be different, so that the monitoring centers are difficult to interconnect and intercommunicate.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a park-oriented intelligent fire-fighting remote monitoring system and a park-oriented intelligent fire-fighting remote monitoring method.
The invention is realized in this way, and an intelligent fire-fighting remote monitoring method facing to a park comprises the following steps:
step two, carrying out layered sampling on the acquired component state data or facility operation data of the fire-fighting facilities in the park by using a data preprocessing program through a data preprocessing module, and carrying out classification processing on the layered sampled data;
establishing connection between the fire-fighting facility and the intelligent fire-fighting remote monitoring system facing the park by using a data interface and a connecting line through a communication transmission module, and sending component state data or facility operation data of the fire-fighting facility in the park to a central control module;
the central control module is connected with the data acquisition module, the data preprocessing module, the communication transmission module, the hidden danger analysis module, the position determination module, the linkage early warning module, the fire-fighting module, the maintenance management module, the cloud storage module and the updating display module and is used for coordinating and controlling the normal operation of each module of the intelligent fire-fighting remote monitoring system facing the park by using the central processing unit;
analyzing the component state data or facility operation data of the fire-fighting facilities by utilizing a hidden danger analysis program through a hidden danger analysis module, and dividing the fire-fighting grades of the fire-fighting facilities in the garden;
determining the position of the fire-fighting facility in the park with lower fire-fighting level and fire-fighting hidden danger by using a positioner through a position determining module, and sending the position information of the fire-fighting facility to a linkage early warning module;
step six, performing linkage early warning on the fire-fighting facilities in the garden by using the linkage early warning module and the other linkage early warning device according to the received position information of the fire-fighting facilities;
the other side linkage early warning device comprises a plurality of fire alarm buttons and a plurality of alarm terminals which are distributed and installed in a park;
the fire alarm button is used for providing fire alarm information for a fire finder to send to a fire alarm, and the fire alarm information comprises a fire alarm condition, a fire place, a fire grade and a fire type;
the fire alarm system comprises an alarm terminal, a fire alarm management personnel and a fire alarm, wherein the alarm terminal is used for confirming a fire in the field of the fire management personnel, generates confirmation alarm information and forwards the confirmation alarm information to the fire alarm, and the confirmation alarm information comprises a fire alarm condition, a fire place, an alarm unit, an alarm personnel contact mode, a fire field condition, a fire grade and a fire type;
the fire-fighting module comprises an automatic fire-fighting unit and a fire-fighting material storage unit, and is used for fire fighting of fire-fighting facilities with lower fire-fighting level and fire-fighting hidden danger in a park and providing fire-fighting materials;
step seven, utilizing fire fighting equipment to carry out fire fighting on fire fighting facilities which have lower fire fighting grade and fire fighting hidden danger in the garden according to the early warning notice through a fire fighting module; the maintenance management module is used for maintaining and managing the fire-fighting facilities in the park according to the early warning notice and the fire-fighting information;
step eight, storing the acquired part state data or facility operation data, the data preprocessing result, the hidden danger analysis result, the position information, the linkage early warning notice, the fire fighting information and the maintenance management information of the fire fighting facility in the park by using a cloud database server through a cloud storage module;
and step nine, updating and displaying the acquired real-time data of the component state data or facility operation data, the data preprocessing result, the hidden danger analysis result, the position information, the linkage early warning notice, the fire fighting information and the maintenance management information of the fire fighting facility of the park by using the display through the updating and displaying module.
Further, in the second step, when sampling in layers, one of the fields is taken as a basis, and the attribute values of the field are respectively set as: t is t1，t2，···，tsThe total number of records in the data table is m, and the attribute value of each record (1-m) corresponding to the field is respectively as follows: k is a radical of1，k2，···，kmThen a function can be established
f：{k1，k2，···，km}α{t1，t2，···，ts}；
Thus, when f (k)i)＝t1(i ═ 1, 2, · · m), the attribute value k of this field is extractediIf the number of the corresponding records is not zero, obtaining a first class p1The number of records is m1；
In the remaining records, when f (k)i)＝t2(i＝1，2，···m-m1) Take out the attribute value k of the fieldiIf the number of records is not zero, obtaining a second class p2The number of records is m2(ii) a And so on, the final classification result can be obtained.
Further, in the second step, the classifying the collected component state data or facility operation data of the fire fighting facility by the data preprocessing module using the data preprocessing program includes:
(1) acquiring component state data or facility operation data of the fire-fighting facility to be classified as a data sample set to be classified;
(2) carrying out data cleaning on the data sample set to be classified and processed, and taking the data sample set subjected to data cleaning as a target data set;
(3) determining a target cluster number based on the target dataset; and clustering the target data set based on the target clustering number to obtain a data classification result.
Further, in the step (2), the data cleaning of the data sample set to be classified includes:
1) taking the sample data of the sample set except the current data to be cleaned as the data not to be cleaned;
2) comparing each group of data which is not to be cleaned with the current data to be cleaned;
3) and if the data to be cleaned is the same as the current data to be cleaned, deleting the data to be cleaned which is the same as the current data to be cleaned.
Further, in the step (3), the data classification result includes general alarm data, error data, fire alarm data and monitoring data.
Further, in step three, the connection between the fire-fighting facility and the intelligent fire-fighting remote monitoring system facing the garden is established by using a data interface and a connecting line through a communication transmission module, and the component state data or facility operation data of the fire-fighting facility is sent to a central control module, including:
(1) a plurality of data interfaces are arranged through a communication transmission module, and proper data interfaces and connecting lines are selected according to the fire-fighting equipment to establish wired communication connection with the fire-fighting equipment;
(2) aiming at the classified part state data or facility operation data of the fire-fighting facilities, introducing ID numbers of the fire-fighting facilities according to a facility management protocol, and performing data encapsulation according to a specified format;
(3) and packaging the packaged component state data or facility operation data of the fire-fighting facility, and sending the packaged data to the central control module through the data interface.
Further, when transmitting the packed data to the central control module through the data interface, the method further includes:
and converting the data transmission from a serial port protocol into a wireless access protocol, and then transmitting the data to the Internet and connecting the Internet to a cloud database server in a wireless access mode.
Further, in the fourth step, in analyzing the component state data or the facility operation data of the fire fighting facility by using the hidden danger analyzing program through the hidden danger analyzing module, firstly, the calculation of the prediction deviation absolute value d (t) is performed by using the following formula:
then the absolute value of the deviation is judged by the following formula:
wherein x (t) is the component state data or facility operation data of the fire-fighting facility at the time t, and the predicted value is
Indicating 90% of the maximum deviation of the predicted values at the early stage of the change of the state data.
Further, in the fifth step, the analyzing the component state data or facility operation data of the fire-fighting facility by the hidden danger analyzing module using the hidden danger analyzing program, and dividing the fire-fighting class of the fire-fighting facility in the park, includes:
(1) potential safety hazard analysis is carried out on the component state data or facility operation data of the fire-fighting facility through a potential safety hazard analysis module to obtain potential safety hazards;
(2) acquiring garden fire-fighting facilities matched with the potential safety hazard in a garden fire-fighting facility library based on a preset acquisition rule, and feeding data back to a central processing unit;
(3) and dividing the fire-fighting grade of the fire-fighting facilities in the park according to the potential safety hazard data by utilizing a hidden hazard analysis program.
Further, after the hidden danger analysis module analyzes the potential safety hazard of the component state data or the facility operation data of the fire-fighting facility, the method further comprises the following steps:
and if the potential safety hazard cannot be obtained, sending a safety notice to the central processing unit to inform an administrator of no safety hazard and/or reacquiring the fire-fighting equipment data of the park.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the intelligent campus-oriented fire protection remote monitoring method when executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to execute the intelligent campus-oriented fire-fighting remote monitoring method.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the intelligent fire-fighting remote monitoring system for the garden, the collected component state data or facility operation data of fire-fighting facilities are classified, the proper target clustering number can be determined in a self-adaptive manner, the target data set is clustered according to the proper target clustering number, and the accuracy of the classification result is effectively improved; potential hazards of fire-fighting facilities in the garden are analyzed, the fire-fighting level of the garden is calculated, and the potential hazards of fire-fighting places with high fire-fighting levels can be conveniently checked; through the other side linkage early warning, can mobilize the fire control goods and materials of other surveillance centers when needs and put out a fire, strengthen each surveillance center's in garden communication, improve the fire control supervision and the coordination of fire control goods and materials in the whole garden.
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 embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a campus-oriented intelligent fire-fighting remote monitoring system according to an embodiment of the present invention;
in the figure: 1. a data acquisition module; 2. a data preprocessing module; 3. a communication transmission module; 4. a central control module; 5. a hidden danger analysis module; 6. a location determination module; 7. a linkage early warning module; 8. a fire fighting module; 9. a maintenance management module; 10. a cloud storage module; 11. and updating the display module.
Fig. 2 is a flowchart of a campus-oriented intelligent fire-fighting remote monitoring method according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for classifying collected component status data or facility operation data of a fire fighting facility by a data preprocessing module using a data preprocessing program according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for establishing a connection between a fire protection facility and the intelligent fire protection park-oriented remote monitoring system through a communication transmission module by using a data interface and a connection line, and sending component status data or facility operation data of the fire protection facility to a central control module according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for analyzing component status data or facility operation data of a fire-fighting facility by using a hidden danger analysis program through a hidden danger analysis module and classifying fire-fighting classes of fire-fighting facilities in a park according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a park-oriented intelligent fire-fighting remote monitoring system and a park-oriented intelligent fire-fighting remote monitoring method, and the park-oriented intelligent fire-fighting remote monitoring system and the park-oriented intelligent fire-fighting remote monitoring method are described in detail below by combining the attached drawings.
As shown in fig. 1, the intelligent fire-fighting remote monitoring system for a campus provided by the embodiment of the present invention includes: the system comprises a data acquisition module 1, a data preprocessing module 2, a communication transmission module 3, a central control module 4, a hidden danger analysis module 5, a position determination module 6, a linkage early warning module 7, a fire-fighting module 8, a maintenance management module 9, a cloud storage module 10 and an update display module 11.
The data acquisition module 1 is connected with the central control module 4, takes the field fire-fighting equipment as a data acquisition object, and is used for acquiring the component state data or the equipment operation data of the fire-fighting equipment in the garden through data acquisition equipment;
the data preprocessing module 2 is connected with the central control module 4 and is used for classifying the acquired component state data or facility operation data of the fire-fighting facilities in the park through a data preprocessing program;
the communication transmission module 3 is connected with the central control module 4 and used for establishing connection between the fire-fighting facility and the intelligent fire-fighting remote monitoring system facing the park through a data interface and a connecting line and sending component state data or facility operation data of the fire-fighting facility facing the park to the central control module;
the central control module 4 is connected with the data acquisition module 1, the data preprocessing module 2, the communication transmission module 3, the hidden danger analysis module 5, the position determination module 6, the linkage early warning module 7, the fire-fighting module 8, the maintenance management module 9, the cloud storage module 10 and the updating display module 11, and is used for coordinating and controlling the normal operation of each module of the intelligent fire-fighting remote monitoring system facing the garden through a central processing unit;
the hidden danger analysis module 5 is connected with the central control module 4 and used for analyzing the component state data or facility operation data of the fire-fighting facilities through a hidden danger analysis program and dividing the fire-fighting grades of the fire-fighting facilities in the garden;
the position determining module 6 is connected with the central control module 4 and used for determining the position of the fire-fighting facility in the garden with lower fire-fighting level and hidden fire-fighting danger through the positioner and sending the position information of the fire-fighting facility to the linkage early warning module;
the linkage early warning module 7 is connected with the central control module 4 and is used for carrying out linkage early warning on the fire-fighting facilities in the garden through the linkage early warning device of the other party according to the received position information of the fire-fighting facilities;
the fire fighting module 8 is connected with the central control module 4 and is used for carrying out fire fighting on fire fighting facilities with lower fire fighting grade and fire fighting hidden danger in the park according to the early warning notice through fire fighting equipment;
the maintenance management module 9 is connected with the central control module 4 and is used for performing maintenance management on the fire-fighting facilities in the garden through maintenance management equipment according to the early warning notice and the fire-fighting information;
the cloud storage module 10 is connected with the central control module 4 and used for storing the acquired part state data or facility operation data, data preprocessing results, hidden danger analysis results, position information, linkage early warning notification, fire fighting and extinguishing information and maintenance and management information of the fire fighting facilities of the park through a cloud database server;
and the updating display module 11 is connected with the central control module 4 and is used for updating and displaying the acquired real-time data of the component state data or facility operation data, the data preprocessing result, the hidden danger analysis result, the position information, the linkage early warning notification, the fire fighting information and the maintenance management information of the fire fighting facility through a display.
The other side linkage early warning device provided by the embodiment of the invention comprises a plurality of fire alarm buttons and a plurality of alarm terminals which are distributed and installed in a park;
the fire alarm button is used for providing fire alarm information for a fire finder to send to a fire alarm, and the fire alarm information comprises a fire alarm condition, a fire place, a fire grade and a fire type;
the fire alarm system comprises an alarm terminal, a fire alarm management personnel and a fire alarm, wherein the alarm terminal is used for confirming a fire in the field of the fire management personnel, generates confirmation alarm information and forwards the confirmation alarm information to the fire alarm, and the confirmation alarm information comprises a fire alarm condition, a fire place, an alarm unit, an alarm personnel contact mode, a fire field condition, a fire grade and a fire type;
the fire-fighting module comprises an automatic fire-fighting unit and a fire-fighting material storage unit, and is used for fire-fighting of fire-fighting facilities with lower fire-fighting level and fire-fighting hidden danger in a park and providing fire-fighting materials.
As shown in fig. 2, the intelligent fire-fighting remote monitoring method for a campus provided by the embodiment of the present invention includes the following steps:
s101, acquiring component state data or facility operation data of fire-fighting facilities in a park by using a data acquisition module and taking the on-site fire-fighting facilities as data acquisition objects through data acquisition equipment;
s102, carrying out layered sampling on the acquired component state data or facility operation data of the fire-fighting facilities in the park by using a data preprocessing program through a data preprocessing module, and carrying out classification processing on the layered sampled data; (ii) a
S103, establishing connection between the fire-fighting facility and the intelligent fire-fighting remote monitoring system facing the park by using a data interface and a connecting line through a communication transmission module, and sending component state data or facility operation data of the fire-fighting facility in the park to a central control module;
s104, the central control module utilizes a central processing unit to coordinate and control the normal operation of each module of the intelligent fire-fighting remote monitoring system facing the park;
s105, analyzing the component state data or facility operation data of the fire-fighting facilities by utilizing a hidden danger analysis program through a hidden danger analysis module, and dividing the fire-fighting grades of the fire-fighting facilities in the garden;
s106, determining the position of the fire-fighting facility in the garden with lower fire-fighting level and fire-fighting hidden danger by using a positioner through a position determining module, and sending the position information of the fire-fighting facility to a linkage early warning module;
s107, performing linkage early warning on the fire-fighting facilities in the garden by using the linkage early warning module and the other linkage early warning device according to the received position information of the fire-fighting facilities;
s108, fire fighting equipment is used for carrying out fire fighting on fire fighting facilities which are lower in fire fighting grade and have fire fighting hidden danger in the garden according to the early warning notification through the fire fighting module; the maintenance management module is used for maintaining and managing the fire-fighting facilities in the park according to the early warning notice and the fire-fighting information;
s109, storing the acquired part state data or facility operation data, the data preprocessing result, the hidden danger analysis result, the position information, the linkage early warning notice, the fire fighting information and the maintenance management information of the fire fighting facility in the park by using a cloud database server through a cloud storage module;
and S110, updating and displaying the acquired real-time data of the component state data or facility operation data, the data preprocessing result, the hidden danger analysis result, the position information, the linkage early warning notice, the fire fighting information and the maintenance management information of the fire-fighting facility of the park by using the display through the updating and displaying module.
In step S102 in the embodiment of the present invention, the hierarchical sampling is performedThen, based on one of the fields, the attribute values of the field are respectively set as: t is t1，t2，···，tsThe total number of records in the data table is m, and the attribute value of each record (1-m) corresponding to the field is respectively as follows: k is a radical of1，k2，···，kmThen a function can be established
f：{k1，k2，···，km}α{t1，t2，···，ts}；
Thus, when f (k)i)＝t1(i ═ 1, 2, · · m), the attribute value k of this field is extractediIf the number of the corresponding records is not zero, obtaining a first class p1The number of records is m1；
In the remaining records, when f (k)i)＝t2(i＝1，2，···m-m1) Take out the attribute value k of the fieldiIf the number of records is not zero, obtaining a second class p2The number of records is m2(ii) a And so on, the final classification result can be obtained.
As shown in fig. 3, in step S102, the classifying, by the data preprocessing module, the acquired component status data or the facility operation data of the fire fighting facility by using the data preprocessing program includes:
s201, acquiring component state data or facility operation data of the fire-fighting facility to be classified as a data sample set to be classified;
s202, performing data cleaning on the data sample set to be classified and processed, and taking the data sample set subjected to data cleaning as a target data set;
s203, determining a target cluster number based on the target data set; and clustering the target data set based on the target clustering number to obtain a data classification result.
In step S202 provided in the embodiment of the present invention, the performing data cleaning on the data sample set to be classified includes:
1) taking the sample data of the sample set except the current data to be cleaned as the data not to be cleaned;
2) comparing each group of data which is not to be cleaned with the current data to be cleaned;
3) and if the data to be cleaned is the same as the current data to be cleaned, deleting the data to be cleaned which is the same as the current data to be cleaned.
In step S203 provided in the embodiment of the present invention, the data classification result includes general alarm data, error data, fire alarm data, and monitoring data.
As shown in fig. 4, in step S103, the establishing a connection between the fire-fighting facility and the intelligent fire-fighting remote monitoring system facing the park by using a data interface and a connection line through the communication transmission module, and sending the component status data or the facility operation data of the fire-fighting facility to the central control module according to the embodiment of the present invention includes:
s301, a plurality of data interfaces are arranged through a communication transmission module, and proper data interfaces and connecting lines are selected according to the fire-fighting equipment to establish wired communication connection with the fire-fighting equipment;
s302, aiming at the classified component state data or facility operation data of the fire-fighting facilities, introducing ID numbers of the fire-fighting facilities according to a facility management protocol, and performing data encapsulation according to a specified format;
and S303, packaging the packaged component state data or facility operation data of the fire-fighting facility, and sending the packaged data to the central control module through the data interface.
When the data interface provided by the embodiment of the present invention transmits the packed data to the central control module, the method further includes:
and converting the data transmission from a serial port protocol into a wireless access protocol, and then transmitting the data to the Internet and connecting the Internet to a cloud database server in a wireless access mode.
In step S104 provided in the embodiment of the present invention, in analyzing the component state data or the facility operation data of the fire fighting facility by using the hidden danger analyzing program through the hidden danger analyzing module, the calculation of the prediction deviation absolute value d (t) is performed by using the following formula:
then the absolute value of the deviation is judged by the following formula:
wherein x (t) is the component state data or facility operation data of the fire-fighting facility at the time t, and the predicted value is
Indicating 90% of the maximum deviation of the predicted values at the early stage of the change of the state data.
As shown in fig. 5, in step S105, the analyzing the component status data or the facility operation data of the fire fighting facility by the hidden danger analyzing module using the hidden danger analyzing program and classifying the fire protection class of the fire fighting facility in the park according to the embodiment of the present invention includes:
s401, potential safety hazard analysis is carried out on the component state data or facility operation data of the fire-fighting facility through a potential safety hazard analysis module to obtain potential safety hazards;
s402, acquiring the garden fire-fighting facilities matched with the potential safety hazards in the garden fire-fighting facility library based on a preset acquisition rule, and feeding data back to a central processing unit;
and S403, dividing the fire-fighting level of the fire-fighting facilities in the park according to the potential safety hazard data by utilizing a potential hazard analysis program.
After the hidden danger analysis module provided by the embodiment of the invention analyzes the hidden danger of the component state data or facility operation data of the fire-fighting facility, the method further comprises the following steps:
and if the potential safety hazard cannot be obtained, sending a safety notice to the central processing unit to inform an administrator of no safety hazard and/or reacquiring the fire-fighting equipment data of the park.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The intelligent fire-fighting remote monitoring method for the garden is characterized by comprising the following steps of:
the method comprises the following steps that firstly, a data acquisition module takes an on-site fire-fighting facility as a data acquisition object, and a data acquisition device is used for acquiring component state data or facility operation data of the fire-fighting facility in a park;
step two, carrying out layered sampling on the acquired component state data or facility operation data of the fire-fighting facilities in the park by using a data preprocessing program through a data preprocessing module, and carrying out classification processing on the layered sampled data;
establishing connection between the fire-fighting facility and the intelligent fire-fighting remote monitoring system facing the park by using a data interface and a connecting line through a communication transmission module, and sending component state data or facility operation data of the fire-fighting facility in the park to a central control module;
the central control module is connected with the data acquisition module, the data preprocessing module, the communication transmission module, the hidden danger analysis module, the position determination module, the linkage early warning module, the fire-fighting module, the maintenance management module, the cloud storage module and the updating display module and is used for coordinating and controlling the normal operation of each module of the intelligent fire-fighting remote monitoring system facing the park by using the central processing unit;
analyzing the component state data or facility operation data of the fire-fighting facilities by utilizing a hidden danger analysis program through a hidden danger analysis module, and dividing the fire-fighting grades of the fire-fighting facilities in the garden;
determining the position of the fire-fighting facility in the park with lower fire-fighting level and fire-fighting hidden danger by using a positioner through a position determining module, and sending the position information of the fire-fighting facility to a linkage early warning module;
step six, performing linkage early warning on the fire-fighting facilities in the garden by using the linkage early warning module and the other linkage early warning device according to the received position information of the fire-fighting facilities;
the other side linkage early warning device comprises a plurality of fire alarm buttons and a plurality of alarm terminals which are distributed and installed in a park;
the fire alarm button is used for providing fire alarm information for a fire finder to send to a fire alarm, and the fire alarm information comprises a fire alarm condition, a fire place, a fire grade and a fire type;
the fire alarm system comprises an alarm terminal, a fire alarm management personnel and a fire alarm, wherein the alarm terminal is used for confirming a fire in the field of the fire management personnel, generates confirmation alarm information and forwards the confirmation alarm information to the fire alarm, and the confirmation alarm information comprises a fire alarm condition, a fire place, an alarm unit, an alarm personnel contact mode, a fire field condition, a fire grade and a fire type;
the fire-fighting module comprises an automatic fire-fighting unit and a fire-fighting material storage unit, and is used for fire fighting of fire-fighting facilities with lower fire-fighting level and fire-fighting hidden danger in a park and providing fire-fighting materials;
step seven, utilizing fire fighting equipment to carry out fire fighting on fire fighting facilities which have lower fire fighting grade and fire fighting hidden danger in the garden according to the early warning notice through a fire fighting module; the maintenance management module is used for maintaining and managing the fire-fighting facilities in the park according to the early warning notice and the fire-fighting information;
step eight, storing the acquired part state data or facility operation data, the data preprocessing result, the hidden danger analysis result, the position information, the linkage early warning notice, the fire fighting information and the maintenance management information of the fire fighting facility in the park by using a cloud database server through a cloud storage module;
and step nine, updating and displaying the acquired real-time data of the component state data or facility operation data, the data preprocessing result, the hidden danger analysis result, the position information, the linkage early warning notice, the fire fighting information and the maintenance management information of the fire fighting facility of the park by using the display through the updating and displaying module.
2. The intelligent fire-fighting remote monitoring method according to claim 1, wherein in the second step, one of the fields is used as a basis during the hierarchical sampling, and the attribute values of the fields are respectively set as: t is t1，t2，···，tsThe total number of records in the data table is m, and the attribute value of each record (1-m) corresponding to the field is respectively as follows: k is a radical of1，k2，···，kmThen a function can be established
f：{k1，k2，···，km}α{t1，t2，···，ts}；
Thus, when f (k)i)＝t1(i ═ 1, 2, · · m), the attribute value k of this field is extractediIf the number of the corresponding records is not zero, obtaining a first class p1The number of records is m1；
In the remaining records, when f (k)i)＝t2(i＝1，2，···m-m1) Take out the attribute value k of the fieldiIf the number of records is not zero, obtaining a second class p2The number of records is m2(ii) a And so on, the final classification result can be obtained.
3. The intelligent fire-fighting remote monitoring method for parks as claimed in claim 1, wherein in the second step, the classification method adopted by the classification process comprises:
(1) acquiring component state data or facility operation data of the fire-fighting facility to be classified as a data sample set to be classified;
(2) carrying out data cleaning on the data sample set to be classified and processed, and taking the data sample set subjected to data cleaning as a target data set;
(3) determining a target cluster number based on the target dataset; and clustering the target data set based on the target clustering number to obtain a data classification result.
4. The intelligent fire-fighting remote monitoring method for park as claimed in claim 3, wherein in step (2), the data cleaning of the data sample set to be classified includes:
1) taking the sample data of the sample set except the current data to be cleaned as the data not to be cleaned;
2) comparing each group of data which is not to be cleaned with the current data to be cleaned;
3) and if the data to be cleaned is the same as the current data to be cleaned, deleting the data to be cleaned which is the same as the current data to be cleaned.
5. The intelligent fire-fighting remote monitoring method according to claim 3, wherein in the step (3), the data classification result includes general alarm data, error data, fire alarm data and monitoring data.
6. The intelligent fire-fighting park-oriented remote monitoring method according to claim 1, wherein in step three, the establishing connection between the fire-fighting facilities and the intelligent fire-fighting park-oriented remote monitoring system through the communication transmission module by using the data interface and the connecting line, and sending the component status data or the facility operation data of the fire-fighting facilities to the central control module comprises:
(1) a plurality of data interfaces are arranged through a communication transmission module, and proper data interfaces and connecting lines are selected according to the fire-fighting equipment to establish wired communication connection with the fire-fighting equipment;
(2) aiming at the classified part state data or facility operation data of the fire-fighting facilities, introducing ID numbers of the fire-fighting facilities according to a facility management protocol, and performing data encapsulation according to a specified format;
(3) and packaging the packaged component state data or facility operation data of the fire-fighting facility, and sending the packaged data to the central control module through the data interface.
7. The intelligent fire-fighting remote monitoring method for parks as claimed in claim 6, wherein when transmitting the packaged data to the central control module through the data interface, the method further comprises:
and converting the data transmission from a serial port protocol into a wireless access protocol, and then transmitting the data to the Internet and connecting the Internet to a cloud database server in a wireless access mode.
8. The intelligent fire-fighting remote monitoring method according to claim 1, wherein in the fourth step, the component status data or the facility operation data of the fire-fighting facility is analyzed by the hidden danger analyzing module using the hidden danger analyzing program, and the calculation of the absolute value of the prediction deviation d (t) is first performed using the following formula:
then the absolute value of the deviation is judged by the following formula:
wherein x (t) is the component state data or facility operation data of the fire-fighting facility at the time t, and the predicted value is
Indicating 90% of the maximum deviation of the predicted values at the early stage of the change of the state data.
9. The intelligent fire-fighting remote monitoring method for park as claimed in claim 1, wherein in step five, the analyzing the component status data or the facility operation data of the fire-fighting facilities by the hidden danger analyzing module using the hidden danger analyzing program and classifying the fire-fighting classes of the park fire-fighting facilities comprises:
(1) potential safety hazard analysis is carried out on the component state data or facility operation data of the fire-fighting facility through a potential safety hazard analysis module to obtain potential safety hazards;
(2) acquiring garden fire-fighting facilities matched with the potential safety hazard in a garden fire-fighting facility library based on a preset acquisition rule, and feeding data back to a central processing unit;
(3) and dividing the fire-fighting grade of the fire-fighting facilities in the park according to the potential safety hazard data by utilizing a hidden hazard analysis program.
10. The intelligent fire-fighting remote monitoring method for a park as claimed in claim 9, wherein after the safety hazard analysis of the component status data or the facility operation data of the fire-fighting facility by the hazard analysis module, the method further comprises:
and if the potential safety hazard cannot be obtained, sending a safety notice to the central processing unit to inform an administrator of no safety hazard and/or reacquiring the fire-fighting equipment data of the park.
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| CN202110150566.2A CN112947172A (en) | 2021-02-03 | 2021-02-03 | Intelligent fire-fighting remote monitoring system and method for park |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115222070A (en) * | 2022-06-16 | 2022-10-21 | 南京泓和云安全科技有限公司 | Data analysis method for intelligent fire-fighting rapid positioning maintenance problem |
| CN115457471A (en) * | 2022-09-14 | 2022-12-09 | 灵图数据(杭州)有限公司 | Intelligent park monitoring method and system |
| CN115953027A (en) * | 2022-12-29 | 2023-04-11 | 宜时(北京)科技有限公司 | Human-computer interaction fire safety management method and system based on BIM and GIS |
| CN116756461A (en) * | 2023-04-27 | 2023-09-15 | 营口天成消防设备有限公司 | Quick analysis system and analysis method for fire-fighting linkage formula |
-
2021
- 2021-02-03 CN CN202110150566.2A patent/CN112947172A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115222070A (en) * | 2022-06-16 | 2022-10-21 | 南京泓和云安全科技有限公司 | Data analysis method for intelligent fire-fighting rapid positioning maintenance problem |
| CN115457471A (en) * | 2022-09-14 | 2022-12-09 | 灵图数据(杭州)有限公司 | Intelligent park monitoring method and system |
| CN115953027A (en) * | 2022-12-29 | 2023-04-11 | 宜时(北京)科技有限公司 | Human-computer interaction fire safety management method and system based on BIM and GIS |
| CN115953027B (en) * | 2022-12-29 | 2023-10-10 | 宜时云(北京)科技有限公司 | Human-computer interaction fire safety management method and system based on BIM and GIS |
| CN116756461A (en) * | 2023-04-27 | 2023-09-15 | 营口天成消防设备有限公司 | Quick analysis system and analysis method for fire-fighting linkage formula |
| CN116756461B (en) * | 2023-04-27 | 2024-03-12 | 营口天成消防设备有限公司 | Quick analysis system and analysis method for fire-fighting linkage formula |
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Application publication date: 20210611 |