CN116028892A - Data fusion algorithm of multi-police joint service control system - Google Patents
Data fusion algorithm of multi-police joint service control system Download PDFInfo
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Abstract
The invention discloses a data fusion algorithm of a multi-police joint service control system, which relates to the technical field of communication processing and specifically comprises the following steps: s1, acquiring and extracting alarm position data and nearby rescue data; s2, according to the alarm position data, substituting threat values of the alarm positions into a threat value calculation strategy, and according to the nearby rescue data, substituting rescue values into a rescue value calculation strategy to calculate rescue values of all nearby rescue units; s3, extracting and substituting threat values of the alarm positions and rescue values of nearby rescue into a rescue scheme generation strategy to generate a rescue scheme; s4, distributing rescue tasks according to the generated rescue schemes, releasing rescue information to the corresponding rescue units, facilitating rapid alarming to nearby rescue units, accurately calculating rescue force, rapidly generating the rescue schemes, and saving rescue resources while guaranteeing rescue time.
Description
Technical Field
The invention relates to the technical field of communication processing, in particular to a data fusion algorithm of a multi-police joint service control system.
Background
The existing police system for public security, comprehensive treatment and the like plays a role in protecting the life and property safety of people. However, with the development and advancement of society and technology, alarm systems have a series of problems such as: the alarm channel is single, and the alarm is mainly carried out through telephone; the situation of the case site cannot be accurately controlled and is described by the language of the alarm; the conventional alarm process is time-consuming and labor-consuming, and has low response speed; police information sharing is lost, linkage cooperation is difficult, and rescue resources can not be saved while rescue time is ensured;
for example, in chinese patent with publication number CN105491042B, a control method for multi-police co-service is disclosed, comprising the steps of: a login step, a scheduling step, a collaboration step and an updating step. The invention also provides a control system of the multi-police joint service, which comprises a login unit, a scheduling unit, a cooperation unit and an updating unit. In addition, the invention also provides a control system of the multi-police co-service, which comprises a cooperative server and a plurality of display control platforms connected with the cooperative server. The control method and the system for multi-police joint service realize synchronous display among all display control platforms, so that the operation of the display control platforms corresponding to all police seeds in the same system has consistency, and all the police seeds can cooperatively command the fight, thereby improving the fight efficiency;
as disclosed in chinese patent with publication number CN107464063a, the digital police service linkage management platform includes a service management terminal, a talkback terminal, an alarm terminal, a resource acquisition unit, an alert and vision linkage management service unit, and a command center, where the alarm terminal is used to provide alarm information, and the command center sends an instruction to the relevant service management terminal according to the alarm information, and forwards the alarm information to the relevant unit, thereby providing a multi-scenario alarm mode, realizing services such as alert, vision, sound three-dimensional linkage, flat command scheduling, and comprehensive information sharing linkage, solving the problems existing in the existing alarm system, expanding the alarm mode, expanding the field of view, and improving the alarm output efficiency;
all of the above patents exist: alarm systems also suffer from a number of problems, such as: the alarm channel is single, and the alarm is mainly carried out through telephone; the situation of the case site cannot be accurately controlled and is described by the language of the alarm; the conventional alarm process is time-consuming and labor-consuming, and has low response speed; the invention provides a data fusion algorithm of a multi-police joint service control system, which aims to solve the technical problems that police information is shared and lost, linkage cooperation is difficult, and rescue resources can not be saved while rescue time is ensured.
Disclosure of Invention
The invention mainly aims to provide a data fusion algorithm of a multi-police joint service control system, which can effectively solve the problems in the background technology: alarm systems also suffer from a number of problems, such as: the alarm channel is single, and the alarm is mainly carried out through telephone; the situation of the case site cannot be accurately controlled and is described by the language of the alarm; the conventional alarm process is time-consuming and labor-consuming, and has low response speed; the technical problems that police service information sharing is lost, linkage cooperation is difficult, and rescue resources can not be saved while rescue time is ensured can not be achieved.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
the data fusion algorithm of the multi-police commute control system specifically comprises the following steps:
s1, acquiring and extracting alarm position data and nearby rescue data;
s2, according to the alarm position data, substituting threat values of the alarm positions into a threat value calculation strategy, and according to the nearby rescue data, substituting rescue values into a rescue value calculation strategy to calculate rescue values of all nearby rescue units;
s3, extracting and substituting threat values of the alarm positions and rescue values of nearby rescue into a rescue scheme generation strategy to generate a rescue scheme;
s4, distributing rescue tasks according to the generated rescue scheme;
meanwhile, the data fusion algorithm is realized by a multi-police joint service control system which comprises a server, a task allocation module, a rescue scheme generation module, a social surface data acquisition module, a nearby rescue data acquisition module, a threat data extraction module, a threat data calculation module, a rescue communication module and a rescue regulation module which are connected with the server,
the social surface data acquisition module is used for acquiring alarm information data of alarm positions and road traffic jam data,
the nearby rescue data acquisition module is used for acquiring the position, personnel, equipment and rescue speed data of the nearby rescue unit at the alarm position,
the threat data extraction module is used for extracting threat data exceeding a security value from the extracted data of the alarm position,
the threat data calculation module is used for substituting threat data into a threat value calculation strategy to calculate a threat value,
the rescue scheme generation module is used for substituting rescue value calculation strategies to calculate the rescue value of each nearby rescue unit according to nearby rescue data, extracting and substituting threat values of alarm positions and the rescue values of each nearby rescue into the rescue scheme generation strategies to generate a rescue scheme,
the task allocation module is used for allocating rescue tasks according to the generated rescue scheme,
the rescue regulation and control module is used for regulating and controlling nearby rescue units according to the allocation of rescue tasks,
the rescue communication module is used for communication transmission among a plurality of rescue units and between the rescue units and the server.
The invention is further improved in that the social surface data acquisition module comprises an alarm position acquisition unit, an alarm scene acquisition unit, a nearby dangerous source acquisition unit and a path traffic jam data acquisition unit, wherein the alarm position acquisition unit is used for acquiring longitude and latitude position data of an alarm position
) The alarm scene acquisition unit is used for acquiring data of an alarm scene in a video, gas monitoring and infrared detection mode, wherein the acquired data comprises threat personnel number ∈>
Average temperature in fire zone->
Harmful gas concentration in fire zone>
Wherein j is j kinds of harmful gas, i is the code of an alarm scene, and the area of excessive fire is +.>
The nearby dangerous source acquisition unit is used for acquiring dangerous source data nearby the alarm position, and comprises a dangerous source distance +.>
And dangerous source attribute data, the path traffic jam data acquisition unit is used for acquiring the traffic jam length of the alarm position reaching the rescue unit>
And traffic jam speed->
Data.
The invention further improves that the nearby rescue data acquisition module comprises a nearby rescue position acquisition unit, a rescue personnel acquisition unit, a rescue equipment acquisition unit and a rescue speed extraction unit, wherein the nearby rescue position acquisition unit is used for acquiring longitude and latitude position data of nearby rescue positions
) The rescue person acquisition unit is used for acquiring attribute data information of nearby rescue persons and the number of the rescue persons>
And average age data>
The rescue equipment acquisition unit is used for acquiring rescue equipment quantity data information of nearby rescue units>
The rescue speed extraction unit is used for extracting rescue preparation time data of nearby rescue units>
。
The invention is further improved in that the output end of the social face data acquisition module is connected with the threat data extraction module, the output end of the threat data extraction module is connected with the threat data calculation module, the output ends of the nearby rescue data acquisition module and the threat data calculation module are both connected with the rescue scheme generation module, the output end of the rescue scheme generation module is connected with the task distribution module, and the output end of the task distribution module is connected with the rescue regulation module.
The invention further improves that the rescue scheme generating module comprises a rescue data extracting unit, a rescue and threat data comparing unit, a rescue value calculating unit and a rescue scheme extracting unit, wherein the rescue data extracting unit is used for extracting the rescue data acquired by the nearby rescue data acquiring module, the rescue and threat data comparing unit is used for substituting threat values of alarm positions and rescue values of nearby rescue into a rescue scheme generating strategy, the rescue value calculating unit is used for calculating the rescue values of the nearby rescue units, and the rescue scheme extracting unit is used for extracting corresponding rescue schemes.
The invention is further improved in that the threat value calculation strategy comprises the following specific steps:
s201, extracting data obtained by an alarm scene obtaining unit and a nearby dangerous source obtaining unit to obtain a threat scene of an alarm position, and selecting a nearby corresponding rescue unit as a pre-selected rescue object through the corresponding threat scene;
s202, comparing the data acquired by the alarm position with the corresponding data safety range to obtain abnormal value data;
s203, substituting the abnormal value data into a threat value calculation formula to calculate a threat value, wherein the threat value calculation formula is as follows:
wherein n is the total number of harmful gases in the alarm scenario, wherein>
For the value of the average temperature of the nearest fire zone in the alarm scene safety temperature range, +.>
Safety temperature range for alarm scenario, +.>
For the value of the concentration of the harmful gas closest to the fire zone in the safety range of j kinds of harmful gases in the alarm scene, +.>
Safety ranges for j types of harmful gases in the alarm scene.
The invention further improves that the rescue value calculation strategy comprises the following specific steps:
s204, selecting a nearby rescue unit corresponding to the alarm position threat scene, and extracting data acquired by a nearby rescue data acquisition module;
s205, acquiring rescue time of each rescue unit, wherein a calculation formula of the rescue time is as follows:
wherein->
For the rescue speed of the rescue units, the rescue time is arranged in ascending order, and the rescue unit with the minimum rescue time is found out;
s206, extracting rescue unit data with minimum rescue time, and calculating a rescue value of the rescue unit data, wherein a rescue value calculation formula is as follows:
where t is the set reference time.
The invention is further improved in that the rescue scheme generation strategy comprises the following steps:
s301, extracting threat values of an alarm scene and a plurality of rescue unit data, and setting a proportion threshold k;
s302, importing the data into a rescue scheme calculation formula, and when the rescue scheme calculation formula is
When the rescue time ascending list is established, calculating the minimum value of i, wherein m is the number of items of the rescue time ascending list, finding out the first i rescue units corresponding to the rescue time ascending list, and issuing rescue information by the corresponding rescue units.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention provides a method for extracting data obtained by an alarm scene acquisition unit and a nearby dangerous source acquisition unit to obtain a threat scene of an alarm position, selecting a nearby corresponding rescue unit as a pre-selected rescue object through the corresponding threat scene, comparing the data obtained by the alarm position with a corresponding data safety range to obtain outlier data, substituting the outlier data into a threat value calculation formula to calculate a threat value, and effectively judging the threat degree of the alarm scene through the calculation of the threat value.
2. According to the invention, the nearby rescue units corresponding to the alarm position threat scene are selected, the data acquired by the nearby rescue data acquisition module are extracted, the rescue time of each rescue unit is acquired, the rescue unit data with the minimum rescue time are extracted, and the rescue value of the corresponding rescue unit is calculated, so that the nearby rescue units of the alarm scene can be counted rapidly.
3. The invention extracts the threat value of the alarm scene and the data of a plurality of rescue units, sets the proportion threshold value, guides the data into a rescue scheme calculation formula, finds the corresponding rescue unit, and issues rescue information to the corresponding rescue unit, thereby being beneficial to quick alarming of nearby rescue units, accurate calculation of rescue force, quick generation of the rescue scheme, and saving of rescue resources while ensuring rescue time.
Drawings
FIG. 1 is a schematic diagram of the overall framework of a multi-police commute control system of the present invention.
Fig. 2 is a schematic diagram of a social plane data acquisition module of the multi-police co-service control system according to the present invention.
Fig. 3 is a schematic diagram of a frame of a nearby rescue data acquisition module of the multi-police co-service control system of the present invention.
Fig. 4 is a schematic diagram of rescue control steps of the multi-police co-service control system according to the present invention.
Fig. 5 is a schematic diagram of a rescue plan generating module of the multi-police co-service control system according to the present invention.
Fig. 6 is a flow chart of a data fusion algorithm of the multi-police co-service control system of the present invention.
Detailed Description
In order that the technical means, the creation characteristics, the achievement of the objects and the effects of the present invention may be easily understood, it should be noted that in the description of the present invention, the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements to be referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "a", "an", "the" and "the" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The invention is further described below in conjunction with the detailed description.
Example 1
The embodiment proposes that data obtained by an alarm scene obtaining unit and a nearby dangerous source obtaining unit are extracted to obtain a threat scene of an alarm position, a nearby corresponding rescue unit is selected as a pre-selected rescue object through the corresponding threat scene, the data obtained by the alarm position is compared with a corresponding data safety range to obtain outlier data, the outlier data is substituted into a threat value calculation formula to calculate a threat value, the threat degree of the alarm scene is effectively researched and judged through the calculation of the threat value, and as shown in fig. 1-6, a data fusion algorithm of a multi-police joint service control system specifically comprises the following steps:
s1, acquiring and extracting alarm position data and nearby rescue data;
s2, according to the alarm position data, substituting threat values of the alarm positions into a threat value calculation strategy, and according to the nearby rescue data, substituting rescue values into a rescue value calculation strategy to calculate rescue values of all nearby rescue units;
s3, extracting and substituting threat values of the alarm positions and rescue values of nearby rescue into a rescue scheme generation strategy to generate a rescue scheme;
s4, distributing rescue tasks according to the generated rescue scheme;
meanwhile, the data fusion algorithm is realized by a multi-police joint service control system, the multi-police joint service control system comprises a server, a task allocation module, a rescue scheme generation module, a social face data acquisition module, a nearby rescue data acquisition module, a threat data extraction module, a threat data calculation module, a rescue communication module and a rescue regulation module which are connected with the server,
the social face data acquisition module is used for acquiring alarm information data of the alarm position and road traffic jam data,
the nearby rescue data acquisition module is used for acquiring the position, personnel, equipment and rescue speed data of the nearby rescue unit at the alarm position,
the threat data extraction module is used for extracting threat data exceeding a security value from the extracted data of the alarm position,
the threat data calculation module is used for substituting threat data into a threat value calculation strategy to calculate a threat value,
the rescue scheme generation module is used for substituting rescue value calculation strategies to calculate the rescue value of each nearby rescue unit according to nearby rescue data, extracting threat values of alarm positions and the rescue values of each nearby rescue to be substituted into the rescue scheme generation strategies to generate a rescue scheme,
the task allocation module is used for allocating rescue tasks according to the generated rescue scheme,
the rescue regulation and control module is used for regulating and controlling nearby rescue units according to the allocation of rescue tasks,
the rescue communication module is used for communication transmission among a plurality of rescue units and between the rescue units and the server.
In this embodiment, the social plane data acquisition module includes an alarm position acquisition unit, an alarm scene acquisition unit, a nearby hazard source acquisition unit, and a path traffic jam data acquisition unit, where the alarm position acquisition unit is configured to acquire longitude and latitude position data of an alarm position
) The alarm scene acquisition unit is used for acquiring data of an alarm scene in a video, gas monitoring and infrared detection mode, wherein the acquired data comprises threat personnel number +.>
Average temperature in fire zone->
Harmful gas concentration in fire zone>
Wherein j is j kinds of harmful gas, i is the code of an alarm scene, and the area of excessive fire is +.>
The nearby hazard acquisition unit is used for acquiring hazard data nearby the alarm position, including hazard distance +.>
And dangerous source attribute data, a path traffic jam data acquisition unit is used for acquiring the traffic jam length of the alarm position reaching the rescue unit>
And traffic jam speed->
Data.
In this embodiment, the nearby rescue data acquisition module includes a nearby rescue position acquisition unit, a rescue person acquisition unit, a rescue equipment acquisition unit, and a rescue speed extraction unit, where the nearby rescue position acquisition unit is configured to acquire longitude and latitude position data of a nearby rescue position
) The rescue person acquisition unit is used for acquiring attribute data information of nearby rescue persons and the number of the rescue persons>
And average age data>
The rescue equipment acquisition unit is used for acquiring rescue equipment quantity data information of the nearby rescue units>
The rescue speed extraction unit is used for extracting rescue preparation time data of nearby rescue units>
。
In the embodiment, the output end of the social face data acquisition module is connected with the threat data extraction module, the output end of the threat data extraction module is connected with the threat data calculation module, the output ends of the nearby rescue data acquisition module and the threat data calculation module are connected with the rescue scheme generation module, the output end of the rescue scheme generation module is connected with the task distribution module, and the output end of the task distribution module is connected with the rescue regulation and control module;
in this embodiment, the rescue scheme generating module includes a rescue data extracting unit, a rescue and threat data comparing unit, a rescue value calculating unit and a rescue scheme extracting unit, where the rescue data extracting unit is used to extract the rescue data acquired by the nearby rescue data acquiring module, the rescue and threat data comparing unit is used to substitute the threat value of the alarm position and the rescue value of each nearby rescue into the rescue scheme generating policy, the rescue value calculating unit is used to calculate the rescue value of the nearby rescue unit, and the rescue scheme extracting unit is used to extract the corresponding rescue scheme.
In this embodiment, the threat value calculation strategy includes the following specific steps:
s201, extracting data obtained by an alarm scene obtaining unit and a nearby dangerous source obtaining unit to obtain a threat scene of an alarm position, and selecting a nearby corresponding rescue unit as a pre-selected rescue object through the corresponding threat scene;
s202, comparing the data acquired by the alarm position with the corresponding data safety range to obtain abnormal value data;
s203, substituting the abnormal value data into a threat value calculation formula to calculate a threat value, wherein the threat value calculation formula is as follows:
where n is the total number of harmful gases in the alarm scenario, where,
for the value of the average temperature of the nearest fire zone in the alarm scene safety temperature range, +.>
Safety temperature range for alarm scenario, +.>
For the value of the concentration of the harmful gas closest to the fire zone in the safety range of j kinds of harmful gases in the alarm scene, +.>
Safety ranges for j types of harmful gases in the alarm scene.
Example 2
The embodiment proposes selecting a nearby rescue unit corresponding to an alarm position threat scene based on embodiment 1, extracting data acquired by a nearby rescue data acquisition module, acquiring rescue time of each rescue unit, extracting rescue unit data with minimum rescue time, and calculating a rescue value of the corresponding rescue unit, thereby facilitating rapid statistics of nearby rescue units of the alarm scene, as shown in fig. 1-6, a data fusion algorithm of a multi-police co-service control system specifically comprises the following steps:
s1, acquiring and extracting alarm position data and nearby rescue data;
s2, according to the alarm position data, substituting threat values of the alarm positions into a threat value calculation strategy, and according to the nearby rescue data, substituting rescue values into a rescue value calculation strategy to calculate rescue values of all nearby rescue units;
s3, extracting and substituting threat values of the alarm positions and rescue values of nearby rescue into a rescue scheme generation strategy to generate a rescue scheme;
s4, distributing rescue tasks according to the generated rescue scheme;
meanwhile, the data fusion algorithm is realized by a multi-police joint service control system, the multi-police joint service control system comprises a server, a task allocation module, a rescue scheme generation module, a social face data acquisition module, a nearby rescue data acquisition module, a threat data extraction module, a threat data calculation module, a rescue communication module and a rescue regulation module which are connected with the server,
the social face data acquisition module is used for acquiring alarm information data of the alarm position and road traffic jam data,
the nearby rescue data acquisition module is used for acquiring the position, personnel, equipment and rescue speed data of the nearby rescue unit at the alarm position,
the threat data extraction module is used for extracting threat data exceeding a security value from the extracted data of the alarm position,
the threat data calculation module is used for substituting threat data into a threat value calculation strategy to calculate a threat value,
the rescue scheme generation module is used for substituting rescue value calculation strategies to calculate the rescue value of each nearby rescue unit according to nearby rescue data, extracting threat values of alarm positions and the rescue values of each nearby rescue to be substituted into the rescue scheme generation strategies to generate a rescue scheme,
the task allocation module is used for allocating rescue tasks according to the generated rescue scheme,
the rescue regulation and control module is used for regulating and controlling nearby rescue units according to the allocation of rescue tasks,
the rescue communication module is used for communication transmission among a plurality of rescue units and between the rescue units and the server.
In this embodiment, the social plane data acquisition module includes an alarm position acquisition unit, an alarm scene acquisition unit, a nearby hazard source acquisition unit, and a path traffic jam data acquisition unit, where the alarm position acquisition unit is configured to acquire longitude and latitude position data of an alarm position
) The alarm scene acquisition unit is used for acquiring data of an alarm scene in a video, gas monitoring and infrared detection mode, wherein the acquired data comprises threat personnel number +.>
Average temperature in fire zone->
Harmful gas concentration in fire zone>
Wherein j is j kinds of harmful gas, i is the code of an alarm scene, and the area of excessive fire is +.>
The nearby hazard acquisition unit is used for acquiring hazard data nearby the alarm position, including hazard distance +.>
And dangerous source attribute data, a path traffic jam data acquisition unit is used for acquiring the traffic jam length of the alarm position reaching the rescue unit>
And traffic jam speed->
Data.
In this embodiment, the nearby rescue data acquisition module includes a nearby rescue position acquisition unit, a rescue person acquisition unit, a rescue equipment acquisition unit, and a rescue speed extraction unit, where the nearby rescue position acquisition unit is configured to acquire longitude and latitude position data of a nearby rescue position
) The rescue person acquisition unit is used for acquiring attribute data information of nearby rescue persons and the number of the rescue persons>
And average age data>
The rescue equipment acquisition unit is used for acquiring rescue equipment quantity data information of the nearby rescue units>
The rescue speed extraction unit is used for extracting rescue preparation time data of nearby rescue units>
。
In the embodiment, the output end of the social face data acquisition module is connected with the threat data extraction module, the output end of the threat data extraction module is connected with the threat data calculation module, the output ends of the nearby rescue data acquisition module and the threat data calculation module are connected with the rescue scheme generation module, the output end of the rescue scheme generation module is connected with the task distribution module, and the output end of the task distribution module is connected with the rescue regulation and control module;
in this embodiment, the rescue scheme generating module includes a rescue data extracting unit, a rescue and threat data comparing unit, a rescue value calculating unit and a rescue scheme extracting unit, where the rescue data extracting unit is used to extract the rescue data acquired by the nearby rescue data acquiring module, the rescue and threat data comparing unit is used to substitute the threat value of the alarm position and the rescue value of each nearby rescue into the rescue scheme generating policy, the rescue value calculating unit is used to calculate the rescue value of the nearby rescue unit, and the rescue scheme extracting unit is used to extract the corresponding rescue scheme.
In this embodiment, the threat value calculation strategy includes the following specific steps:
s201, extracting data obtained by an alarm scene obtaining unit and a nearby dangerous source obtaining unit to obtain a threat scene of an alarm position, and selecting a nearby corresponding rescue unit as a pre-selected rescue object through the corresponding threat scene;
s202, comparing the data acquired by the alarm position with the corresponding data safety range to obtain abnormal value data;
s203, substituting the abnormal value data into a threat value calculation formula to calculate a threat value, wherein the threat value calculation formula is as follows:
where n is the total number of harmful gases in the alarm scenario, where,
for the value of the average temperature of the nearest fire zone in the alarm scene safety temperature range, +.>
Safety temperature range for alarm scenario, +.>
For the value of the concentration of the harmful gas closest to the fire zone in the safety range of j kinds of harmful gases in the alarm scene, +.>
Safety ranges for j types of harmful gases in the alarm scene.
The rescue value calculation strategy comprises the following specific steps:
s204, selecting a nearby rescue unit corresponding to the alarm position threat scene, and extracting data acquired by a nearby rescue data acquisition module;
s205, acquiring rescue time of each rescue unit, wherein a calculation formula of the rescue time is as follows:
wherein->
For the rescue speed of the rescue units, the rescue time is arranged in ascending order, and the rescue unit with the minimum rescue time is found out;
s206, extracting rescue unit data with minimum rescue time, and calculating a rescue value of the rescue unit data, wherein a rescue value calculation formula is as follows:
where t is the set reference time.
Example 3
The embodiment proposes, based on embodiment 2, that threat values of an alarm scene and a plurality of rescue unit data are extracted, a proportion threshold is set, the data are imported into a rescue scheme calculation formula, a corresponding rescue unit is found, rescue information is issued to the corresponding rescue unit, rapid alarming is facilitated to nearby rescue units, accurate calculation is performed on rescue force, meanwhile, rapid generation is performed on a rescue scheme, rescue resources are saved while rescue time is ensured, and as shown in fig. 1-6, a data fusion algorithm of a multi-police-duty control system specifically comprises the following steps:
s1, acquiring and extracting alarm position data and nearby rescue data;
s2, according to the alarm position data, substituting threat values of the alarm positions into a threat value calculation strategy, and according to the nearby rescue data, substituting rescue values into a rescue value calculation strategy to calculate rescue values of all nearby rescue units;
s3, extracting and substituting threat values of the alarm positions and rescue values of nearby rescue into a rescue scheme generation strategy to generate a rescue scheme;
s4, distributing rescue tasks according to the generated rescue scheme;
meanwhile, the data fusion algorithm is realized by a multi-police joint service control system, the multi-police joint service control system comprises a server, a task allocation module, a rescue scheme generation module, a social face data acquisition module, a nearby rescue data acquisition module, a threat data extraction module, a threat data calculation module, a rescue communication module and a rescue regulation module which are connected with the server,
the social face data acquisition module is used for acquiring alarm information data of the alarm position and road traffic jam data,
the nearby rescue data acquisition module is used for acquiring the position, personnel, equipment and rescue speed data of the nearby rescue unit at the alarm position,
the threat data extraction module is used for extracting threat data exceeding a security value from the extracted data of the alarm position,
the threat data calculation module is used for substituting threat data into a threat value calculation strategy to calculate a threat value,
the rescue scheme generation module is used for substituting rescue value calculation strategies to calculate the rescue value of each nearby rescue unit according to nearby rescue data, extracting threat values of alarm positions and the rescue values of each nearby rescue to be substituted into the rescue scheme generation strategies to generate a rescue scheme,
the task allocation module is used for allocating rescue tasks according to the generated rescue scheme,
the rescue regulation and control module is used for regulating and controlling nearby rescue units according to the allocation of rescue tasks,
the rescue communication module is used for communication transmission among a plurality of rescue units and between the rescue units and the server.
In this embodiment, the social plane data acquisition module includes an alarm position acquisition unit, an alarm scene acquisition unit, a nearby hazard source acquisition unit, and a path traffic jam data acquisition unit, where the alarm position acquisition unit is configured to acquire longitude and latitude position data of an alarm position
) The alarm scene acquisition unit is used for acquiring data of an alarm scene in a video, gas monitoring and infrared detection mode, wherein the acquired data comprise threat peopleThe number of people is->
Average temperature in fire zone->
Harmful gas concentration in fire zone>
Wherein j is j kinds of harmful gas, i is the code of an alarm scene, and the area of excessive fire is +.>
The nearby hazard acquisition unit is used for acquiring hazard data nearby the alarm position, including hazard distance +.>
And dangerous source attribute data, a path traffic jam data acquisition unit is used for acquiring the traffic jam length of the alarm position reaching the rescue unit>
And traffic jam speed->
Data.
In this embodiment, the nearby rescue data acquisition module includes a nearby rescue position acquisition unit, a rescue person acquisition unit, a rescue equipment acquisition unit, and a rescue speed extraction unit, where the nearby rescue position acquisition unit is configured to acquire longitude and latitude position data of a nearby rescue position
) The rescue person acquisition unit is used for acquiring attribute data information of nearby rescue persons and the number of the rescue persons>
And average age data>
The rescue equipment acquisition unit is used for acquiring nearby rescue unitsIs>
The rescue speed extraction unit is used for extracting rescue preparation time data of nearby rescue units>
。
In the embodiment, the output end of the social face data acquisition module is connected with the threat data extraction module, the output end of the threat data extraction module is connected with the threat data calculation module, the output ends of the nearby rescue data acquisition module and the threat data calculation module are connected with the rescue scheme generation module, the output end of the rescue scheme generation module is connected with the task distribution module, and the output end of the task distribution module is connected with the rescue regulation and control module;
in this embodiment, the rescue scheme generating module includes a rescue data extracting unit, a rescue and threat data comparing unit, a rescue value calculating unit and a rescue scheme extracting unit, where the rescue data extracting unit is used to extract the rescue data acquired by the nearby rescue data acquiring module, the rescue and threat data comparing unit is used to substitute the threat value of the alarm position and the rescue value of each nearby rescue into the rescue scheme generating policy, the rescue value calculating unit is used to calculate the rescue value of the nearby rescue unit, and the rescue scheme extracting unit is used to extract the corresponding rescue scheme.
In this embodiment, the threat value calculation strategy includes the following specific steps:
s201, extracting data obtained by an alarm scene obtaining unit and a nearby dangerous source obtaining unit to obtain a threat scene of an alarm position, and selecting a nearby corresponding rescue unit as a pre-selected rescue object through the corresponding threat scene;
s202, comparing the data acquired by the alarm position with the corresponding data safety range to obtain abnormal value data;
s203, substituting the abnormal value data into a threat value calculation formula to calculate a threat value, wherein the threat value calculation formula is as follows:
wherein n is the total number of harmful gases in the alarm scenario, wherein>
For the value of the average temperature of the nearest fire zone in the alarm scene safety temperature range, +.>
Safety temperature range for alarm scenario, +.>
For the value of the concentration of the harmful gas closest to the fire zone in the safety range of j kinds of harmful gases in the alarm scene, +.>
Safety ranges for j types of harmful gases in the alarm scene.
The rescue value calculation strategy comprises the following specific steps:
s204, selecting a nearby rescue unit corresponding to the alarm position threat scene, and extracting data acquired by a nearby rescue data acquisition module;
s205, acquiring rescue time of each rescue unit, wherein a calculation formula of the rescue time is as follows:
wherein->
For the rescue speed of the rescue units, the rescue time is arranged in ascending order, and the rescue unit with the minimum rescue time is found out;
s206, extracting rescue unit data with minimum rescue time, and calculating a rescue value of the rescue unit data, wherein a rescue value calculation formula is as follows:
where t is the set reference time.
In this embodiment, the rescue scheme generation strategy includes the following steps:
s301, extracting threat values of an alarm scene and a plurality of rescue unit data, and setting a proportion threshold k;
s302, importing the data into a rescue scheme calculation formula, and when the rescue scheme calculation formula is
When the rescue time ascending list is established, the minimum value of i is calculated, wherein m is the number of items of the rescue time ascending list, so that the first i rescue units corresponding to the rescue time ascending list are found, and the corresponding rescue units release rescue information.
It is important to note that the construction and arrangement of the present application as shown in a variety of different exemplary embodiments is illustrative only. Although only a few embodiments have been described in detail in this disclosure, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible (e.g., variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters (e.g., temperature, pressure, etc.), mounting arrangements, use of materials, colors, orientations, etc.) without materially departing from the novel teachings and advantages of the subject matter described in this application. For example, elements shown as integrally formed may be constructed of multiple parts or elements, the position of elements may be reversed or otherwise varied, and the nature or number of discrete elements or positions may be altered or varied. Accordingly, all such modifications are intended to be included within the scope of present invention. The order or sequence of any process or method steps may be varied or re-sequenced according to alternative embodiments. In the claims, any means-plus-function clause is intended to cover the structures described herein as performing the recited function and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present inventions. Therefore, the invention is not limited to the specific embodiments, but extends to various modifications that nevertheless fall within the scope of the appended claims.
Furthermore, in an effort to provide a concise description of the exemplary embodiments, all features of an actual implementation may not be described (i.e., those not associated with the best mode presently contemplated for carrying out the invention, or those not associated with practicing the invention).
It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking of design, fabrication, and manufacture for those of ordinary skill having the benefit of this disclosure.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (8)
1. The data fusion algorithm of the multi-police joint service control system is characterized in that: the method specifically comprises the following steps:
s1, acquiring and extracting alarm position data and nearby rescue data;
s2, according to the alarm position data, substituting threat values of the alarm positions into a threat value calculation strategy, and according to the nearby rescue data, substituting rescue values into a rescue value calculation strategy to calculate rescue values of all nearby rescue units;
s3, extracting and substituting threat values of the alarm positions and rescue values of nearby rescue into a rescue scheme generation strategy to generate a rescue scheme;
s4, distributing rescue tasks according to the generated rescue scheme;
meanwhile, the data fusion algorithm is realized by a multi-police joint service control system which comprises a server, a task allocation module, a rescue scheme generation module, a social surface data acquisition module, a nearby rescue data acquisition module, a threat data extraction module, a threat data calculation module, a rescue communication module and a rescue regulation module which are connected with the server,
the social surface data acquisition module is used for acquiring alarm information data of alarm positions and road traffic jam data,
the nearby rescue data acquisition module is used for acquiring the position, personnel, equipment and rescue speed data of the nearby rescue unit at the alarm position,
the threat data extraction module is used for extracting threat data exceeding a security value from the extracted data of the alarm position,
the threat data calculation module is used for substituting threat data into a threat value calculation strategy to calculate a threat value,
the rescue scheme generation module is used for substituting rescue value calculation strategies to calculate the rescue value of each nearby rescue unit according to nearby rescue data, extracting and substituting threat values of alarm positions and the rescue values of each nearby rescue into the rescue scheme generation strategies to generate a rescue scheme,
the task allocation module is used for allocating rescue tasks according to the generated rescue scheme,
the rescue regulation and control module is used for regulating and controlling nearby rescue units according to the allocation of rescue tasks,
the rescue communication module is used for communication transmission among a plurality of rescue units and between the rescue units and the server.
2. The data fusion algorithm of the multi-police commute control system of claim 1, wherein: the social face data acquisition module comprises an alarm position acquisition unit, an alarm scene acquisition unit, a nearby dangerous source acquisition unit and a path traffic jam data acquisition unit, wherein the alarm position acquisition unit is used for acquiring longitude and latitude position data of an alarm position
) The alarm scene acquisition unit is used for counting alarm scenes in a video, gas monitoring and infrared detection modeAcquisition of data including threat personnel ∈ ->
Average temperature in fire zone->
Harmful gas concentration in fire zone>
Wherein j is j kinds of harmful gas, i is the code of an alarm scene, and the area of excessive fire is +.>
The nearby dangerous source acquisition unit is used for acquiring dangerous source data nearby the alarm position, and comprises a dangerous source distance +.>
And dangerous source attribute data, the path traffic jam data acquisition unit is used for acquiring the traffic jam length of the alarm position reaching the rescue unit>
And traffic jam speed->
Data.
3. The data fusion algorithm of the multi-police commute control system of claim 2, wherein: the nearby rescue data acquisition module comprises a nearby rescue position acquisition unit, a rescue personnel acquisition unit, a rescue equipment acquisition unit and a rescue speed extraction unit, wherein the nearby rescue position acquisition unit is used for acquiring longitude and latitude position data of nearby rescue positions
) The rescue personnel acquisition unit is used for acquiring attribute data information of nearby rescue personnel and the number of the rescue personnel/>
And average age data>
The rescue equipment acquisition unit is used for acquiring rescue equipment quantity data information of nearby rescue units>
The rescue speed extraction unit is used for extracting rescue preparation time data of nearby rescue units
。
4. A data fusion algorithm for a multi-police commute control system as claimed in claim 3, wherein: the output end of the social face data acquisition module is connected with the threat data extraction module, the output end of the threat data extraction module is connected with the threat data calculation module, the output ends of the nearby rescue data acquisition module and the threat data calculation module are connected with the rescue scheme generation module, the output end of the rescue scheme generation module is connected with the task distribution module, and the output end of the task distribution module is connected with the rescue regulation and control module.
5. The data fusion algorithm of the multi-police commute control system of claim 4, wherein: the rescue scheme generation module comprises a rescue data extraction unit, a rescue and threat data comparison unit, a rescue value calculation unit and a rescue scheme extraction unit, wherein the rescue data extraction unit is used for extracting the rescue data acquired by the nearby rescue data acquisition module, the rescue and threat data comparison unit is used for substituting threat values of alarm positions and rescue values of nearby rescue into a rescue scheme generation strategy, the rescue value calculation unit is used for calculating the rescue values of the nearby rescue units, and the rescue scheme extraction unit is used for extracting corresponding rescue schemes.
6. The data fusion algorithm of the multi-police commute control system of claim 5, wherein: the threat value calculation strategy comprises the following specific steps:
s201, extracting data obtained by an alarm scene obtaining unit and a nearby dangerous source obtaining unit to obtain a threat scene of an alarm position, and selecting a nearby corresponding rescue unit as a pre-selected rescue object through the corresponding threat scene;
s202, comparing the data acquired by the alarm position with the corresponding data safety range to obtain abnormal value data;
s203, substituting the abnormal value data into a threat value calculation formula to calculate a threat value, wherein the threat value calculation formula is as follows:
where n is the total number of harmful gases in the alarm scenario, where,
for the value of the average temperature of the nearest fire zone in the alarm scene safety temperature range, +.>
Safety temperature range for alarm scenario, +.>
For the value of the concentration of the hazardous gas closest to the fire zone in the safe range of j classes of hazardous gases in the alarm scenario,
safety ranges for j types of harmful gases in the alarm scene.
7. The data fusion algorithm of the multi-police commute control system of claim 6, wherein: the rescue value calculation strategy comprises the following specific steps:
s204, selecting a nearby rescue unit corresponding to the alarm position threat scene, and extracting data acquired by a nearby rescue data acquisition module;
s205, acquiring rescue time of each rescue unit, wherein a calculation formula of the rescue time is as follows:
wherein->
For the rescue speed of the rescue units, the rescue time is arranged in ascending order, and the rescue unit with the minimum rescue time is found out;
s206, extracting rescue unit data with minimum rescue time, and calculating a rescue value of the rescue unit data, wherein a rescue value calculation formula is as follows:
where t is the set reference time.
8. The data fusion algorithm of the multi-police commute control system of claim 7, wherein: the rescue scheme generation strategy comprises the following steps:
s301, extracting threat values of an alarm scene and a plurality of rescue unit data, and setting a proportion threshold k;
s302, importing the data into a rescue scheme calculation formula, and when the rescue scheme calculation formula is
When the rescue time ascending list is established, calculating the minimum value of i, wherein m is the number of items of the rescue time ascending list, finding out the first i rescue units corresponding to the rescue time ascending list, and issuing rescue information by the corresponding rescue units. />
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