CN110363950B - Intelligent fire-fighting classification management and control system - Google Patents
Intelligent fire-fighting classification management and control system Download PDFInfo
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Abstract
The invention provides an intelligent fire-fighting hierarchical management and control system, which comprises a patrol monitoring module, an alarm generating module, a dangerous case identification module, a task allocation module and a plurality of dangerous case processing terminals, wherein the patrol monitoring module is used for monitoring fire-fighting conditions; the system comprises a routing inspection monitoring module, a data processing module and a data processing module, wherein the routing inspection monitoring module is used for acquiring regional state information in a preset regional range; the alarm generating module is used for generating an emergency alarm signal according to the area state information; the dangerous case identification module is used for determining the dangerous case type information occurring in the preset area range according to the area state information; the task distribution module is used for realizing that the current dangerous case processing task is transmitted to each dangerous case processing terminal according to the dangerous case type information and the feedback information from each dangerous case processing terminal.
Description
Technical Field
The invention relates to the technical field of fire rescue, in particular to an intelligent fire-fighting hierarchical management and control system.
Background
At present, a fire control management and control system collects corresponding monitoring information in real time through sensors distributed in a monitoring area, transmits the collected monitoring information to a central control room for analysis and processing so as to judge whether fire-fighting hidden dangers exist in the corresponding monitoring area or fire dangerous situations occur, then the central control room sends a judgment processing result to a corresponding application processing end, and technicians corresponding to the application processing end go to the corresponding monitoring area to remove the fire-fighting hidden dangers or process the fire dangerous situations. Therefore, the existing fire control management and control system comprehensively analyzes the acquired information by taking the central control room as a control end and distributes fire control processing tasks to corresponding technicians for subsequent processing according to a specific mode, each processing step of the fire control management and control system in the mode can be realized only by participation of the central control room, so that the data processing pressure of the central control room is increased, and the time for removing fire control dangerous cases of the system is also increased. In practical applications, the fire control management and control system with a single control mode cannot meet the requirement of quickly eliminating and processing fire hazards.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent fire-fighting hierarchical management and control system which comprises a patrol monitoring module, an alarm generating module, a dangerous case identification module, a task allocation module and a plurality of dangerous case processing terminals; the system comprises a routing inspection monitoring module, a data processing module and a data processing module, wherein the routing inspection monitoring module is used for acquiring regional state information in a preset regional range; the alarm generating module is used for generating an emergency alarm signal according to the area state information; the dangerous case identification module is used for determining the dangerous case type information occurring in the preset area range according to the area state information; the task distribution module is used for realizing that the current dangerous case processing task is transmitted to each dangerous case processing terminal according to the dangerous case type information and the feedback information from each dangerous case processing terminal. Therefore, the intelligent fire-fighting classification system can rapidly and effectively process the patrol monitoring information without the participation of a central control room, and accordingly forms a corresponding fire-fighting dangerous case processing task, and different dangerous case processing terminals can determine whether to receive the fire-fighting dangerous case processing task according to the actual situation of the terminals after acquiring the fire-fighting dangerous case processing task, so that the original step of task allocation by the central control room is omitted, and the processing time of fire-fighting dangerous cases is effectively shortened; in addition, the intelligent fire-fighting hierarchical management and control system can also track and display the processing progress of fire-fighting dangerous cases in real time, and remind the processing state of the fire-fighting dangerous cases in real time by generating different alarm signals twice, so that the intelligent degree of fire-fighting dangerous case processing of the intelligent fire-fighting hierarchical management and control system is improved.
The invention provides an intelligent fire-fighting classification management and control system, which is characterized in that:
the intelligent fire-fighting classification management and control system comprises a patrol monitoring module, an alarm generating module, a dangerous case identification module, a task allocation module and a plurality of dangerous case processing terminals; wherein,
the inspection monitoring module is used for acquiring area state information in a preset area range;
the alarm generating module is used for generating an emergency alarm signal according to the area state information;
the dangerous case identification module is used for determining dangerous case type information occurring in the preset area range according to the area state information;
the task allocation module is used for realizing that the current dangerous case processing task is transmitted to each dangerous case processing terminal according to the dangerous case type information and the feedback information from each dangerous case processing terminal;
furthermore, the inspection monitoring module comprises an inspection operation sub-module, an inspection action planning sub-module and a monitoring sensing sub-module; wherein,
the inspection operation sub-module is used for bearing the monitoring sensing sub-module in the preset area range and executing inspection monitoring operation in different action modes;
the inspection action planning submodule is used for generating an indication signal about the inspection operation submodule to execute the inspection monitoring operation according to the historical inspection monitoring operation record of the inspection operation submodule;
the monitoring sensing sub-module is used for carrying out different area sensing data on the preset area range under the driving of the inspection operation sub-module to execute the inspection monitoring operation;
furthermore, the patrol monitoring module also comprises a patrol positioning information generation sub-module and a patrol monitoring information generation sub-module; wherein,
the routing inspection positioning information generation submodule is used for positioning the area positions corresponding to the sensing data of different areas in the process of acquiring the sensing data of the different areas so as to generate the positioning information of the sensing data;
the patrol monitoring information generation submodule is used for performing calculation conversion processing on the sensing data and/or the sensing data positioning information of different areas so as to generate the area state information;
further, the monitoring and sensing sub-module at least comprises an image acquisition unit; wherein,
the image acquisition unit is used for acquiring a plurality of images in the preset area range;
the patrol inspection operation sub-module executes patrol inspection monitoring operations in different action modes,
the inspection operation sub-module acquires a three-dimensional environment image in the preset area range according to the plurality of images in the preset area range;
the inspection operation sub-module also determines barrier information existing in the range of the preset area according to the three-dimensional environment image;
the inspection operation sub-module also determines at least one of the different action modes according to the obstacle information, so that the monitoring sensing sub-module carried by the inspection operation sub-module can adjust at least one of monitoring azimuth, monitoring height and monitoring duration;
or,
the monitoring and sensing sub-module comprises at least one of a smoke sensing unit, an infrared heat sensing unit and a temperature sensing unit; wherein,
the smoke sensing unit is used for acquiring the type of smoke particles or the concentration of the smoke particles in the preset area range;
the infrared thermal sensing unit is used for acquiring infrared thermal imaging data in the preset area range;
the temperature sensing unit is used for acquiring temperature distribution data in the preset area range;
further, the patrol action planning submodule comprises an action data generation unit, a six-degree-of-freedom adjustment unit, a height adjustment unit and a clock unit; wherein,
the action data generating unit is used for respectively generating a first adjusting signal, a second adjusting signal and a third adjusting signal according to at least one of monitoring range data, monitoring height data and monitoring duration data contained in the different action modes;
the six-degree-of-freedom adjusting unit is used for changing the position of a mechanical mechanism bearing the monitoring sensor sub-module on six degrees of freedom according to the first adjusting signal;
the height adjusting unit is used for changing the height of a mechanical mechanism bearing the monitoring sensing sub-module relative to a horizontal plane according to the second adjusting signal;
the clock unit is used for generating a working period signal indicating the monitoring sensing submodule according to the third adjusting signal so that the monitoring sensing submodule can perform monitoring sensing operation with different durations according to the working period signal;
further, the alarm generation module comprises a first alarm signal generation submodule, a second alarm signal generation submodule and an emergency signal transmission submodule; wherein,
the first alarm signal generation submodule is used for firstly generating a first dangerous case alarm signal after receiving the area state information, and the dangerous case signal transmission submodule is used for transmitting the first dangerous case alarm signal to a background interface of the intelligent fire-fighting hierarchical management and control system;
the second alarm signal generation sub-module is used for generating a second dangerous case alarm signal after any one of the dangerous case processing terminals completes the dangerous case elimination processing, and the dangerous case signal transmission sub-module is used for transmitting the second dangerous case alarm signal to a front-end interface of the intelligent fire-fighting hierarchical management and control system;
further, the dangerous case identification module comprises a regional characteristic information extraction sub-module, a regional characteristic information identification sub-module and a regional characteristic information judgment sub-module; the region characteristic information extraction submodule is used for performing characteristic extraction processing on the region state information so as to obtain characteristic vector information about current dangerous case monitoring in the preset region range, wherein the characteristic vector information at least comprises a plurality of potential dangerous case characteristic elements of the preset region range;
the region characteristic information identification submodule is used for carrying out dangerous case type identification processing on the characteristic vector information so as to determine the current dangerous case type of the preset region range, wherein the dangerous case type comprises at least one of equipment failure, dangerous goods hidden danger, equipment initiating fire and artificial initiating fire;
the area characteristic information judgment submodule is used for executing effectiveness judgment processing on the dangerous case type obtained by distinguishing of the area characteristic information distinguishing submodule so as to determine whether the dangerous case type has a misjudgment condition or not;
or,
the dangerous case identification module is further configured to determine dangerous case type information and a corresponding dangerous case severity level occurring within the preset area range according to the area state information, and control the task allocation module to execute a corresponding emergency measure according to the dangerous case type information and the dangerous case severity level, wherein the step of determining the dangerous case type information and the dangerous case severity level occurring within the preset area range by the dangerous case identification module specifically includes the following steps,
step (1), acquiring the current region state information, extracting feature vector information corresponding to the region state information, and forming the feature vector information into a vector D, wherein the vector D comprises N feature vector information values, and N is the number of the information values in the feature vector information;
step (2), setting a historical information database in the dangerous case identification module, wherein the historical information database comprises P pieces of data of all dangerous case types at different time and under different conditions, each piece of the P pieces of data correspondingly comprises N eigenvector information values in the region state information, forming a matrix A according to the P pieces of data, and marking the dangerous case type corresponding to each piece of the P pieces of data behind the P pieces of data to form a vector Y;
step (3), normalizing the matrix A by using the following formula (1) to form a normalized matrix B
In the above formula (1), Bi,tFor the value of the element in the ith row and the tth column of the normalized matrix B, Ai,tIs the value of the element in the ith row and the tth column of the matrix A, DtIs the tth element value of vector D, i 1, 2, …, P, t 1, 2, …, N;
step (4), obtaining a difference matrix CY of the normalized matrix B by using the following formula (2)
In the above formula (2), CYj,tJ is 1, 2, …, and P, t is 1, 2, …, N for the element values of jth row and tth column of the difference matrix;
and (5) calculating to obtain a difference coefficient vector C by using the following formula (3)
|CY-CE|＝0 (3)
In the above formula (3), CY is the difference matrix, E is an identity matrix, and C is the difference coefficient vector, and the difference coefficient vector C is calculated by solving the above formula (3);
and (6) calculating to obtain a correlation vector F by using the following formula (4)
In the above formula (4), FiIs the i-th value, C, of the association vector FtFor the t-th value of the difference coefficient vector C, the dangerous case type information can be determined through the association vector F;
step (7), determining the dangerous case severity level by using the following formula (5)
In the formula (5), RT is the dangerous case severity level, the larger the value of RT, the higher the dangerous case severity level, floor () is the rounding operation of the value in the parentheses by rounding, S1 is the frequency of occurrence in each obtained dangerous case type of S obtained by obtaining the finally determined dangerous case type, and M is the maximum value of the total severity level of the finally determined dangerous case type;
step (8), controlling the task allocation module to execute corresponding emergency measures according to the obtained dangerous case type information and the dangerous case severity level, and transmitting the emergency measures to each dangerous case processing terminal;
further, the performing the validity judgment processing by the area characteristic information judgment sub-module specifically includes,
the area characteristic information judgment submodule calculates a plurality of dangerous case occurrence conditions of the preset area range according to the characteristic vector information;
the area characteristic information judgment sub-module also constructs a dangerous case occurrence prediction model related to the preset area range according to the dangerous case occurrence conditions and the real-time environment parameters of the preset area range;
the region characteristic information judgment submodule calculates each dangerous case type according to the dangerous case occurrence prediction model and the occurrence probability value of each dangerous case type under the current environmental condition of the preset region range;
the region characteristic information judgment sub-module is further used for comparing the occurrence probability value of each dangerous case type with a corresponding occurrence probability threshold value so as to determine whether the dangerous case type has a misjudgment condition;
further, the task allocation module comprises a task generation sub-module and a task transmission sub-module; wherein,
the task generation submodule is used for generating a request processing task message corresponding to the dangerous case existing in the range of the preset area according to the dangerous case type information and the feedback information;
the task transmission submodule is used for directionally transmitting the request processing task message to each dangerous case processing terminal;
furthermore, each dangerous case processing terminal comprises a task receiving submodule, a response submodule, a message interaction submodule and a processing progress reporting submodule; wherein,
the task receiving submodule is used for receiving a request processing task message from the task allocation module;
the response submodule is used for generating a request processing task order receiving confirmation message according to the request processing task message;
the message interaction submodule is used for sending the request processing task order receiving determining message to other dangerous case processing terminals, and if a certain dangerous case processing terminal receives the request processing task order receiving determining message from other dangerous case processing terminals before the request processing task order receiving determining message is generated, the certain dangerous case processing terminal stops generating the request processing task order receiving determining message;
and the processing progress reporting submodule is used for reporting the real-time dangerous case processing progress of the actual task carrying personnel.
Compared with the prior art, the intelligent fire-fighting classification management and control system comprises a patrol monitoring module, an alarm generating module, a dangerous case identification module, a task distribution module and a plurality of dangerous case processing terminals; the system comprises a routing inspection monitoring module, a data processing module and a data processing module, wherein the routing inspection monitoring module is used for acquiring regional state information in a preset regional range; the alarm generating module is used for generating an emergency alarm signal according to the area state information; the dangerous case identification module is used for determining the dangerous case type information occurring in the preset area range according to the area state information; the task distribution module is used for realizing that the current dangerous case processing task is transmitted to each dangerous case processing terminal according to the dangerous case type information and the feedback information from each dangerous case processing terminal. Therefore, the intelligent fire-fighting classification system can rapidly and effectively process the patrol monitoring information without the participation of a central control room, and accordingly forms a corresponding fire-fighting dangerous case processing task, and different dangerous case processing terminals can determine whether to receive the fire-fighting dangerous case processing task according to the actual situation of the terminals after acquiring the fire-fighting dangerous case processing task, so that the original step of task allocation by the central control room is omitted, and the processing time of fire-fighting dangerous cases is effectively shortened; in addition, the intelligent fire-fighting hierarchical management and control system can also track and display the processing progress of fire-fighting dangerous cases in real time, and remind the processing state of the fire-fighting dangerous cases in real time by generating different alarm signals twice, so that the intelligent degree of fire-fighting dangerous case processing of the intelligent fire-fighting hierarchical management and control system is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent fire-fighting classification management and control system provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be 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 of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic structural diagram of an intelligent fire-fighting classification management and control system according to an embodiment of the present invention. The intelligent fire-fighting classification management and control system comprises a patrol monitoring module, an alarm generating module, a dangerous case identification module, a task allocation module and a plurality of dangerous case processing terminals; wherein,
the inspection monitoring module is used for acquiring area state information in a preset area range;
the alarm generating module is used for generating an emergency alarm signal according to the area state information;
the dangerous case identification module is used for determining the dangerous case type information occurring in the preset area range according to the area state information;
the task distribution module is used for realizing that the current dangerous case processing task is transmitted to each dangerous case processing terminal according to the dangerous case type information and the feedback information from each dangerous case processing terminal.
Preferably, the inspection monitoring module comprises an inspection operation sub-module, an inspection action planning sub-module and a monitoring sensing sub-module;
preferably, the polling operation submodule is used for bearing the monitoring sensing submodule in the preset area range and executing polling monitoring operation in different action modes;
preferably, the patrol action planning sub-module is configured to generate an indication signal for the patrol operation sub-module to perform the patrol monitoring operation according to the historical patrol monitoring operation record of the patrol operation sub-module;
preferably, the monitoring and sensing submodule is used for carrying out different area sensing data on the preset area range under the driving of the patrol and inspection operation submodule for executing the patrol and inspection monitoring operation.
Preferably, the patrol monitoring module further comprises a patrol positioning information generation sub-module and a patrol monitoring information generation sub-module;
preferably, the patrol positioning information generating submodule is used for positioning the area positions corresponding to the sensing data of different areas in the process of acquiring the sensing data of different areas so as to generate the positioning information of the sensing data;
preferably, the patrol monitoring information generation sub-module is configured to perform calculation conversion processing on the sensing data of the different areas and/or the positioning information of the sensing data, so as to generate the area status information.
Preferably, the monitoring and sensing sub-module at least comprises an image acquisition unit;
preferably, the image acquisition unit is used for acquiring a plurality of images related to the preset area range;
preferably, the patrol monitoring operation performed by the patrol operation sub-module in different action modes specifically includes,
the inspection operation submodule acquires a three-dimensional environment image in the preset area range according to the plurality of images in the preset area range;
the inspection operation sub-module also determines barrier information existing in the range of the preset area according to the three-dimensional environment image;
the inspection operation sub-module also determines at least one of the different action modes according to the obstacle information, so that the monitoring sensing sub-module carried by the inspection operation sub-module can adjust at least one of monitoring azimuth, monitoring height and monitoring duration;
preferably, the monitoring sensor submodule comprises at least one of a smoke sensing unit, an infrared heat sensing unit and a temperature sensing unit;
preferably, the smoke sensing unit is used for acquiring the type of smoke particles or the concentration of smoke particles in the preset area range;
preferably, the infrared thermal sensing unit is configured to acquire infrared thermal imaging data within the preset area;
preferably, the temperature sensing unit is configured to acquire temperature distribution data within the preset area.
Preferably, the patrol action planning submodule comprises an action data generation unit, a six-degree-of-freedom adjustment unit, a height adjustment unit and a clock unit;
preferably, the motion data generating unit is configured to generate a first adjustment signal, a second adjustment signal and a third adjustment signal according to at least one of monitoring range data, monitoring height data and monitoring duration data included in the different motion modes, respectively;
preferably, the six-degree-of-freedom adjustment unit is configured to change, according to the first adjustment signal, an orientation of a mechanical mechanism carrying the monitoring sensor sub-module in six degrees of freedom;
preferably, the height adjusting unit is used for changing the height of a mechanical mechanism carrying the monitoring sensing submodule relative to the horizontal plane according to the second adjusting signal;
preferably, the clock unit is configured to generate a duty cycle signal indicating the monitoring sensor sub-module according to the third adjustment signal, so that the monitoring sensor sub-module can perform monitoring sensing operations of different durations according to the duty cycle signal.
Preferably, the alarm generating module comprises a first alarm signal generating submodule, a second alarm signal generating submodule and an emergency signal transmitting submodule;
preferably, the first alarm signal generation submodule is configured to firstly generate a first emergency alarm signal after receiving the zone status information, and the emergency signal transmission submodule is configured to transmit the first emergency alarm signal to a background interface of the intelligent fire-fighting classification management and control system;
preferably, the second alarm signal generating sub-module is used for generating a second emergency alarm signal after any one of the plurality of emergency processing terminals completes the emergency elimination processing, and the emergency signal transmitting sub-module is used for transmitting the second emergency alarm signal to the front-end interface of the intelligent fire-fighting classification management and control system.
Preferably, the dangerous case identification module comprises a regional characteristic information extraction submodule, a regional characteristic information identification submodule and a regional characteristic information judgment submodule;
preferably, the area feature information extraction submodule is configured to perform feature extraction processing on the area state information, so as to obtain feature vector information about current dangerous case monitoring in the preset area range, where the feature vector information at least includes a plurality of potential dangerous case feature elements in the preset area range;
preferably, the region feature information identification submodule is configured to perform identification processing on the feature vector information to determine a current occurring dangerous case type of the preset region range, where the dangerous case type includes at least one of an equipment failure, a dangerous goods hidden danger, an equipment initiated fire, and an artificial initiated fire;
preferably, the area characteristic information judgment submodule is configured to perform validity judgment processing on the dangerous case type identified by the area characteristic information identification submodule, so as to determine whether the dangerous case type has a misjudgment condition;
preferably, the dangerous case identification module is further configured to determine, according to the area status information, dangerous case type information occurring within the preset area range and a corresponding dangerous case severity level, and control the task allocation module to execute a corresponding emergency measure according to the dangerous case type information and the dangerous case severity level, where the step of determining, by the dangerous case identification module, the dangerous case type information occurring within the preset area range and the dangerous case severity level specifically includes the steps of,
step (1), acquiring the current state information of the region, extracting feature vector information corresponding to the region state information, and forming the feature vector information into a vector D, wherein the vector D comprises N feature vector information values, and N is the number of the information values in the feature vector information;
step (2), setting a historical information database in the dangerous case identification module, wherein the historical information database comprises P pieces of data of all dangerous case types at different time and under different conditions, each piece of the P pieces of data correspondingly comprises N eigenvector information values in the area state information, forming a matrix A according to the P pieces of data, and marking the corresponding dangerous case type behind each piece of the P pieces of data to form a vector Y;
step (3), normalizing the matrix A by using the following formula (1) to form a normalized matrix B
In the above formula (1), Bi,tFor the value of the element in the ith row and the tth column of the normalized matrix B, Ai,tIs the value of the element in the ith row and the tth column of the matrix A, DtIs the tth element value of vector D, i 1, 2, …, P, t 1, 2, …, N;
step (4), obtaining a difference matrix CY of the normalized matrix B by using the following formula (2)
In the above formula (2), CYj,tJ is 1, 2, …, P, t is 1, 2, …, N for the element values of jth row and tth column of the difference matrix;
and (5) calculating to obtain a difference coefficient vector C by using the following formula (3)
|CY-CE|＝0 (3)
In the above formula (3), CY is the difference matrix, E is the identity matrix, and C is the difference coefficient vector, and the difference coefficient vector C is calculated by solving the above formula (3);
and (6) calculating to obtain a correlation vector F by using the following formula (4)
In the above formula (4), FiIs the i-th value, C, of the association vector FtFor the t-th value of the difference coefficient vector C, the dangerous case type information can be determined through the association vector F;
step (7), using the following formula (5), determining the dangerous case severity level
In the formula (5), RT is the dangerous case severity level, the larger the value of RT, the higher the dangerous case severity level, floor () is the rounding operation of the value in the parentheses by rounding, S1 is the frequency of occurrence in each obtained dangerous case type of S obtained by obtaining the finally determined dangerous case type, M is the maximum value of the total severity level of the finally determined dangerous case type;
and (8) controlling the task distribution module to execute corresponding emergency measures according to the acquired dangerous case type information and the dangerous case severity level, and transmitting the emergency measures to each dangerous case processing terminal.
Preferably, the performing, by the area characteristic information judgment sub-module, the validity judgment process specifically includes,
the area characteristic information judgment submodule calculates a plurality of current dangerous case occurrence conditions of the preset area range according to the characteristic vector information;
the area characteristic information judgment submodule also constructs a dangerous case occurrence prediction model related to the preset area range according to the dangerous case occurrence conditions and the real-time environment parameters of the preset area range;
the area characteristic information judgment submodule calculates each dangerous case type according to the dangerous case occurrence prediction model and the occurrence probability value of each dangerous case type under the current environmental condition of the preset area range;
the area characteristic information judgment sub-module is also used for comparing the occurrence probability value of each dangerous case type with the corresponding occurrence probability threshold value so as to determine whether the dangerous case type has a misjudgment condition.
Preferably, the task allocation module comprises a task generation sub-module and a task transmission sub-module;
preferably, the task generating sub-module is configured to generate a request processing task message corresponding to the dangerous case existing in the current preset area range according to the dangerous case type information and the feedback information;
preferably, the task transmission sub-module is used for directionally transmitting the request processing task message to each dangerous case processing terminal.
Preferably, each of the dangerous case processing terminals comprises a task receiving submodule, a response submodule, a message interaction submodule and a processing progress reporting submodule;
preferably, the task receiving submodule is configured to receive a request processing task message from the task allocating module;
preferably, the response sub-module is configured to generate a request processing task order receiving determination message according to the request processing task message;
preferably, the message interaction sub-module is configured to send the request processing task order taking determination message to other dangerous case processing terminals, and if a certain dangerous case processing terminal has received a request processing task order taking determination message from another dangerous case processing terminal before generating the request processing task order taking determination message, the certain dangerous case processing terminal stops generating the request processing task order taking determination message;
preferably, the processing progress reporting sub-module is configured to report a real-time dangerous case processing progress of the actual carrying personnel of the task.
According to the embodiment, the intelligent fire-fighting classification management and control system comprises a patrol monitoring module, an alarm generating module, an emergency identification module, a task allocation module and a plurality of emergency processing terminals; the system comprises a routing inspection monitoring module, a data processing module and a data processing module, wherein the routing inspection monitoring module is used for acquiring regional state information in a preset regional range; the alarm generating module is used for generating an emergency alarm signal according to the area state information; the dangerous case identification module is used for determining the dangerous case type information occurring in the preset area range according to the area state information; the task distribution module is used for realizing that the current dangerous case processing task is transmitted to each dangerous case processing terminal according to the dangerous case type information and the feedback information from each dangerous case processing terminal. Therefore, the intelligent fire-fighting classification system can rapidly and effectively process the patrol monitoring information without the participation of a central control room, and accordingly forms a corresponding fire-fighting dangerous case processing task, and different dangerous case processing terminals can determine whether to receive the fire-fighting dangerous case processing task according to the actual situation of the terminals after acquiring the fire-fighting dangerous case processing task, so that the original step of task allocation by the central control room is omitted, and the processing time of fire-fighting dangerous cases is effectively shortened; in addition, the intelligent fire-fighting hierarchical management and control system can also track and display the processing progress of fire-fighting dangerous cases in real time, and remind the processing state of the fire-fighting dangerous cases in real time by generating different alarm signals twice, so that the intelligent degree of fire-fighting dangerous case processing of the intelligent fire-fighting hierarchical management and control system is improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. The utility model provides an intelligence fire control hierarchical management and control system which characterized in that:
the intelligent fire-fighting classification management and control system comprises a patrol monitoring module, an alarm generating module, a dangerous case identification module, a task allocation module and a plurality of dangerous case processing terminals; wherein,
the inspection monitoring module is used for acquiring area state information in a preset area range;
the alarm generating module is used for generating an emergency alarm signal according to the area state information;
the dangerous case identification module is used for determining dangerous case type information occurring in the preset area range according to the area state information;
the task allocation module is used for realizing that the current dangerous case processing task is transmitted to each dangerous case processing terminal according to the dangerous case type information and the feedback information from each dangerous case processing terminal;
the dangerous case identification module comprises a regional characteristic information extraction submodule, a regional characteristic information identification submodule and a regional characteristic information judgment submodule; wherein,
the region characteristic information extraction submodule is used for carrying out characteristic extraction processing on the region state information so as to obtain characteristic vector information about current dangerous case monitoring in the preset region range, wherein the characteristic vector information at least comprises a plurality of potential dangerous case characteristic elements in the preset region range;
the region characteristic information identification submodule is used for carrying out dangerous case type identification processing on the characteristic vector information so as to determine the current dangerous case type of the preset region range, wherein the dangerous case type comprises at least one of equipment failure, dangerous goods hidden danger, equipment initiating fire and artificial initiating fire;
the area characteristic information judgment submodule is used for executing effectiveness judgment processing on the dangerous case type obtained by distinguishing of the area characteristic information distinguishing submodule so as to determine whether the dangerous case type has a misjudgment condition or not;
the dangerous case identification module is further configured to determine dangerous case type information and a corresponding dangerous case severity level occurring within the preset area range according to the area state information, and control the task allocation module to execute a corresponding emergency measure according to the dangerous case type information and the dangerous case severity level, wherein the step of determining the dangerous case type information and the dangerous case severity level occurring within the preset area range by the dangerous case identification module specifically includes the following steps,
step (1), acquiring the current region state information, extracting feature vector information corresponding to the region state information, and forming the feature vector information into a vector D, wherein the vector D comprises N feature vector information values, and N is the number of the information values in the feature vector information;
step (2), setting a historical information database in the dangerous case identification module, wherein the historical information database comprises P pieces of data of all dangerous case types at different time and under different conditions, each piece of the P pieces of data correspondingly comprises N eigenvector information values in the region state information, forming a matrix A according to the P pieces of data, and marking the dangerous case type corresponding to each piece of the P pieces of data behind the P pieces of data to form a vector Y;
step (3), normalizing the matrix A by using the following formula (1) to form a normalized matrix B
In the above formula (1), Bi,tFor the value of the element in the ith row and the tth column of the normalized matrix B, Ai,tIs the value of the element in the ith row and the tth column of the matrix A, DtIs the tth element value of vector D, i 1, 2, …, P, t 1, 2, …, N;
step (4), obtaining a difference matrix CY of the normalized matrix B by using the following formula (2)
In the above formula (2), CYj,tJ is 1, 2, …, and P, t is 1, 2, …, N for the element values of jth row and tth column of the difference matrix;
and (5) calculating to obtain a difference coefficient vector C by using the following formula (3)
|CY-CE|＝0 (3)
In the above formula (3), CY is the difference matrix, E is an identity matrix, and C is the difference coefficient vector, and the difference coefficient vector C is calculated by solving the above formula (3); and (6) calculating to obtain a correlation vector F by using the following formula (4)
In the above formula (4), FiIs the i-th value, C, of the association vector FtFor the t-th value of the difference coefficient vector C, the dangerous case type information can be determined through the association vector F;
step (7), determining the dangerous case severity level by using the following formula (5)
In the formula (5), RT is the dangerous case severity level, the larger the value of RT, the higher the dangerous case severity level, floor () is the rounding operation of the value in the parentheses by rounding, S1 is the frequency of occurrence in each obtained dangerous case type of S obtained by obtaining the finally determined dangerous case type, and M is the maximum value of the total severity level of the finally determined dangerous case type;
and (8) controlling the task distribution module to execute corresponding emergency measures according to the obtained dangerous case type information and the dangerous case severity level, and transmitting the emergency measures to each dangerous case processing terminal.
2. The intelligent fire-fighting classification management and control system according to claim 1, characterized in that:
the inspection monitoring module comprises an inspection operation sub-module, an inspection action planning sub-module and a monitoring sensing sub-module; wherein,
the inspection operation sub-module is used for bearing the monitoring sensing sub-module in the preset area range and executing inspection monitoring operation in different action modes;
the inspection action planning submodule is used for generating an indication signal about the inspection operation submodule to execute the inspection monitoring operation according to the historical inspection monitoring operation record of the inspection operation submodule;
the monitoring sensing submodule is used for carrying out different regional sensing data on the preset regional range under the driving of the patrol and inspection monitoring operation executed by the patrol and inspection operation submodule.
3. The intelligent fire-fighting classification management and control system according to claim 2, characterized in that:
the patrol monitoring module also comprises a patrol positioning information generation sub-module and a patrol monitoring information generation sub-module; wherein,
the routing inspection positioning information generation submodule is used for positioning the area positions corresponding to the sensing data of different areas in the process of acquiring the sensing data of the different areas so as to generate the positioning information of the sensing data;
the patrol monitoring information generation submodule is used for carrying out calculation conversion processing on the sensing data of different areas and/or the positioning information of the sensing data so as to generate the area state information.
4. The intelligent fire-fighting classification management and control system according to claim 2, characterized in that:
the monitoring sensing submodule at least comprises an image acquisition unit; wherein,
the image acquisition unit is used for acquiring a plurality of images in the preset area range;
the patrol inspection operation sub-module executes patrol inspection monitoring operations in different action modes,
the inspection operation sub-module acquires a three-dimensional environment image in the preset area range according to the plurality of images in the preset area range;
the inspection operation sub-module also determines barrier information existing in the range of the preset area according to the three-dimensional environment image;
the inspection operation sub-module also determines at least one of the different action modes according to the obstacle information, so that the monitoring sensing sub-module carried by the inspection operation sub-module can adjust at least one of monitoring azimuth, monitoring height and monitoring duration;
or,
the monitoring and sensing sub-module comprises at least one of a smoke sensing unit, an infrared heat sensing unit and a temperature sensing unit; wherein,
the smoke sensing unit is used for acquiring the type of smoke particles or the concentration of the smoke particles in the preset area range;
the infrared thermal sensing unit is used for acquiring infrared thermal imaging data in the preset area range; the temperature sensing unit is used for acquiring temperature distribution data in the preset area range.
5. The intelligent fire-fighting classification management and control system according to claim 4, characterized in that:
the patrol action planning submodule comprises an action data generation unit, a six-degree-of-freedom adjustment unit, a height adjustment unit and a clock unit; wherein,
the action data generating unit is used for respectively generating a first adjusting signal, a second adjusting signal and a third adjusting signal according to at least one of monitoring range data, monitoring height data and monitoring duration data contained in the different action modes;
the six-degree-of-freedom adjusting unit is used for changing the position of a mechanical mechanism bearing the monitoring sensor sub-module on six degrees of freedom according to the first adjusting signal;
the height adjusting unit is used for changing the height of a mechanical mechanism bearing the monitoring sensing sub-module relative to a horizontal plane according to the second adjusting signal;
the clock unit is used for generating a working period signal indicating the monitoring sensing submodule according to the third adjusting signal, so that the monitoring sensing submodule can perform monitoring sensing operation with different durations according to the working period signal.
6. The intelligent fire-fighting classification management and control system according to claim 1, characterized in that:
the alarm generation module comprises a first alarm signal generation submodule, a second alarm signal generation submodule and an emergency signal transmission submodule; wherein,
the first alarm signal generation submodule is used for firstly generating a first dangerous case alarm signal after receiving the area state information, and the dangerous case signal transmission submodule is used for transmitting the first dangerous case alarm signal to a background interface of the intelligent fire-fighting hierarchical management and control system;
the second alarm signal generation sub-module is used for generating a second dangerous case alarm signal after any one of the dangerous case processing terminals completes the dangerous case elimination processing, and the dangerous case signal transmission sub-module is used for transmitting the second dangerous case alarm signal to a front-end interface of the intelligent fire-fighting hierarchical management and control system.
7. The intelligent fire-fighting classification management and control system according to claim 1, characterized in that:
the area characteristic information judgment submodule specifically comprises the step of calculating a plurality of dangerous case occurrence conditions of the preset area range according to the characteristic vector information;
the area characteristic information judgment sub-module also constructs a dangerous case occurrence prediction model related to the preset area range according to the dangerous case occurrence conditions and the real-time environment parameters of the preset area range;
the region characteristic information judgment submodule calculates each dangerous case type according to the dangerous case occurrence prediction model and the occurrence probability value of each dangerous case type under the current environmental condition of the preset region range;
the area characteristic information judgment sub-module is further used for comparing the occurrence probability value of each dangerous case type with the corresponding occurrence probability threshold value so as to determine whether the dangerous case type has a misjudgment condition.
8. The intelligent fire-fighting classification management and control system according to claim 1, characterized in that:
the task allocation module comprises a task generation submodule and a task transmission submodule; wherein,
the task generation submodule is used for generating a request processing task message corresponding to the dangerous case existing in the range of the preset area according to the dangerous case type information and the feedback information;
and the task transmission submodule is used for directionally transmitting the request processing task message to each dangerous case processing terminal.
9. The intelligent fire-fighting classification management and control system according to claim 1, characterized in that:
each dangerous case processing terminal comprises a task receiving submodule, a response submodule, a message interaction submodule and a processing progress reporting submodule; wherein,
the task receiving submodule is used for receiving a request processing task message from the task allocation module;
the response submodule is used for generating a request processing task order receiving confirmation message according to the request processing task message;
the message interaction submodule is used for sending the request processing task order receiving determining message to other dangerous case processing terminals, and if a certain dangerous case processing terminal receives the request processing task order receiving determining message from other dangerous case processing terminals before the request processing task order receiving determining message is generated, the certain dangerous case processing terminal stops generating the request processing task order receiving determining message;
and the processing progress reporting submodule is used for reporting the real-time dangerous case processing progress of the actual task carrying personnel.
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