CN117436571B - Remote water supply optimizing method and system - Google Patents

Remote water supply optimizing method and system Download PDF

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CN117436571B
CN117436571B CN202311227589.4A CN202311227589A CN117436571B CN 117436571 B CN117436571 B CN 117436571B CN 202311227589 A CN202311227589 A CN 202311227589A CN 117436571 B CN117436571 B CN 117436571B
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CN117436571A (en
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谢浩
王佩
苏联营
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China Fire Rescue College
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Abstract

The disclosure provides a remote water supply tuning method and system, and relates to the technical field of water supply tuning, wherein the method comprises the following steps: collecting position information and path relation of a fire water source, and constructing a fire water source topological structure, wherein the fire water source topological structure comprises a natural water source and a construction water source; acquiring current fire position information and current required fire water consumption; matching the current fire position information, the current required fire water consumption and the fire water source topological structure to determine a matching corresponding relation; based on the matching corresponding relation, a matching relation formula of each matching corresponding relation is established; remote water supply scheme optimizing is carried out based on each matching relation, and a water supply strategy is determined; and generating fire-fighting vehicle scheduling information according to the water supply strategy, and implementing remote water supply fire-fighting execution operation. The water supply optimizing device can solve the technical problem that the fire extinguishing efficiency is low due to low water supply optimizing efficiency in the prior art, achieves the aim of improving the water supply optimizing efficiency, and achieves the technical effect of improving the fire extinguishing efficiency.

Description

Remote water supply optimizing method and system
Technical Field
The disclosure relates to the technical field of water supply tuning, in particular to a tuning method and system for remote water supply.
Background
The water is widely distributed in the nature and is easy to acquire, store and transport, the fire disaster is extinguished by water, the most commonly adopted fire extinguishing mode is adopted by fire-fighting teams, more than 90% of the fires can be extinguished by water according to the relevant statistics information of fire extinguishment, and 90% of the fires are extinguished and lose the benefit due to the insufficient water supply intensity. At present, most of the existing water supply methods are used for extinguishing fire through water storage of fire-fighting vehicles, so that the fire extinguishing efficiency is low.
In summary, the prior art has the technical problem of low fire extinguishing efficiency due to low efficiency of water supply optimization.
Disclosure of Invention
The disclosure provides a remote water supply optimizing method and system, which are used for solving the technical problem of lower fire extinguishing efficiency caused by lower water supply optimizing efficiency in the prior art.
According to a first aspect of the present disclosure, there is provided a tuning method of a remote water supply, comprising: collecting position information and a path relation of a fire water source, and constructing a fire water source topological structure, wherein the fire water source comprises a natural water source and a construction water source; acquiring current fire position information and current required fire water consumption; matching the current fire position information, the current required fire water consumption and the fire water source topological structure to determine a matching corresponding relation; based on the matching corresponding relation, a matching relation formula of each matching corresponding relation is established; remote water supply scheme optimizing is carried out based on each matching relation, and a water supply strategy is determined; and generating fire-fighting vehicle scheduling information according to the water supply strategy, and implementing remote water supply fire-fighting execution operation.
According to a second aspect of the present disclosure, there is provided a tuning system for a remote water supply, comprising: the fire water source topology structure acquisition module is used for acquiring position information and a path relation of a fire water source and constructing a fire water source topology structure, wherein the fire water source comprises a natural water source and a construction water source; the current required fire-fighting water consumption obtaining module is used for obtaining current fire position information and current required fire-fighting water consumption; the matching corresponding relation obtaining module is used for matching the current fire position information, the current required fire water consumption and the fire water source topological structure to determine a matching corresponding relation; the matching relation obtaining module is used for establishing a matching relation of each matching corresponding relation based on the matching corresponding relation; the water supply strategy obtaining module is used for carrying out remote water supply scheme optimization based on each matching relation to determine a water supply strategy; the remote water supply fire control execution module is used for generating fire control vehicle scheduling information according to the water supply strategy and executing remote water supply fire control execution operation.
According to a third aspect of the present disclosure, a computer device comprises a memory storing a computer program and a processor implementing a method capable of performing any one of the first aspects.
According to a fourth aspect of the present disclosure, a computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements a method capable of performing any of the first aspects.
One or more technical solutions provided in the present disclosure have at least the following technical effects or advantages: according to the method, a fire water source topological structure is constructed by collecting position information and a path relation of the fire water source, wherein the fire water source comprises a natural water source and a construction water source; acquiring current fire position information and current required fire water consumption; matching the current fire position information, the current required fire water consumption and the fire water source topological structure to determine a matching corresponding relation; based on the matching corresponding relation, a matching relation formula of each matching corresponding relation is established; remote water supply scheme optimizing is carried out based on each matching relation, and a water supply strategy is determined; according to the water supply strategy, the scheduling information of the fire-fighting vehicle is generated, the remote water supply fire-fighting execution operation is implemented, the technical problem that fire extinguishing efficiency is low due to low efficiency of water supply tuning in the prior art is solved, the aim of improving the water supply tuning efficiency is fulfilled, and the technical effect of improving the fire extinguishing efficiency is achieved.
It should be understood that the description of this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
For a clearer description of the present disclosure or of the prior art, the drawings used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are only exemplary and that other drawings may be obtained, without inventive effort, by a person skilled in the art, from the provided drawings.
Fig. 1 is a schematic flow chart of a tuning method for remote water supply according to an embodiment of the disclosure;
FIG. 2 is a schematic flow chart of constructing a fire-fighting water source topology structure in a remote water supply tuning method according to an embodiment of the disclosure;
FIG. 3 is a schematic diagram of a remote water supply tuning system according to an embodiment of the present disclosure;
Fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the disclosure.
Reference numerals illustrate: the system comprises a fire water source topology structure obtaining module 11, a current demand fire water consumption obtaining module 12, a matching corresponding relation obtaining module 13, a matching relation obtaining module 14, a water supply strategy obtaining module 15, a remote water supply fire control executing module 16, a computer device 100, a processor 101, a memory 102 and a bus 103.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Example 1
An embodiment of the present disclosure provides a remote water supply optimizing method, which is described with reference to fig. 1, and the method includes:
The method provided by the embodiment of the disclosure comprises the following steps:
Collecting position information and a path relation of a fire water source, and constructing a fire water source topological structure, wherein the fire water source comprises a natural water source and a construction water source;
Specifically, the position information and the path relation of the fire water source are collected. And connecting the position information with the position information serving as a node according to the path relation to obtain the fire-fighting water source topological structure. Wherein, the fire control water source includes natural water source, construction water source. The natural water source is water source naturally formed in river, etc. The construction water source is artificially constructed water sources such as a pool, a reservoir and the like.
Acquiring current fire position information and current required fire water consumption;
Specifically, the current fire type and the fire area are obtained, the water consumption is predicted for the purpose of extinguishing fire, and the total required water consumption for the fire is determined. And acquiring the water storage capacity of the current police-exiting vehicle and the fire-fighting water consumption of the current position which can be called by the current position. And removing the water storage capacity of the current police-exiting vehicle and the fire-fighting water consumption at the current position from the fire water consumption to obtain the fire-fighting water consumption of the current requirement.
Matching the current fire position information, the current required fire water consumption and the fire water source topological structure to determine a matching corresponding relation;
Specifically, the water usage gap amount in the fire water source topology structure is determined according to the current required fire water usage amount. Sequentially accessing a fire-fighting water source topological structure, sequentially matching the current fire position information with the position in the fire-fighting water source topological structure, extracting the position successfully matched, and determining the position distance relation. Sequentially accessing a fire water source topological structure, sequentially matching the water notch quantity with the water source supply quantity in the fire water source topological structure, extracting and matching the water source supply quantity successfully, and determining the water supply quantity relation. And using the position distance relation and the water supply amount relation as matching corresponding relation, obtaining the water supply amount relation through the position distance relation, and identifying the position distance relation of each water source.
Based on the matching corresponding relation, a matching relation formula of each matching corresponding relation is established;
specifically, based on the matching correspondence, a matching relation formula of each matching correspondence is established. The matching relation comprises a supply speed relation and a supply water quantity relation.
Remote water supply scheme optimizing is carried out based on each matching relation, and a water supply strategy is determined;
Specifically, according to the position distance relation and the water supply quantity relation, a supply speed relation and a supply water quantity relation are established by calculating water flow in the position distance. The supply speed relation and the supply water quantity relation are summarized, the supply speed relation and the supply water quantity relation are connected with each other with the maximum supply speed and the maximum supply water quantity as targets, and a water supply evaluation fitness function is constructed. Based on the water supply evaluation fitness function, an optimal solution is obtained, an optimizing space is constructed, global optimization is performed by using a preset optimizing algorithm, and an optimal strategy of the global optimization is used as a water supply strategy.
And generating fire-fighting vehicle scheduling information according to the water supply strategy, and implementing remote water supply fire-fighting execution operation.
Specifically, the water storage capacity of each type of vehicle and the number of each type of vehicle are obtained through the vehicle alarm record. Further, based on the water storage amount of each type of vehicle and the number of each type of vehicle, the product of the water storage amount of each type of vehicle and the number of each type of vehicle is calculated and obtained and used as the total capacity of the vehicle scheduling water, and constraint conditions are constructed. Further, adding constraint conditions into the optimizing space to perform water supply strategy optimization. And calculating the quotient of the current required fire-fighting water consumption and the primary scheduling capacity by taking the total capacity of the vehicle scheduling water as the primary scheduling capacity, and obtaining the scheduling times. Further, based on the water supply strategy obtained by optimizing the water supply strategy, the fire-fighting vehicle scheduling information is obtained.
The technical problem that the fire extinguishing efficiency is low due to low water supply optimizing efficiency in the prior art can be solved, the aim of improving the water supply optimizing efficiency is fulfilled, and the technical effect of improving the fire extinguishing efficiency is achieved.
The method provided by the embodiment of the disclosure further comprises the following steps:
Acquiring foundation construction information of a construction water source, wherein the foundation construction information comprises construction positions, construction capacities and construction pipeline connection relations;
Establishing a first topological connection relation of all construction water sources based on the construction pipeline connection relation;
Extracting unconnected construction water sources and natural water sources, collecting road connection relations, and establishing a second topological connection relation of the unconnected construction water sources and the natural water sources based on the road connection relations;
and based on the road connection relation, connecting and combining the first topological connection relation and the second topological connection relation to obtain the fire-fighting water source topological structure.
As shown in fig. 2, specifically, the infrastructure information of the construction water source is acquired. The foundation construction information comprises construction positions, construction capacity and construction pipeline connection relations. For example, the construction water source is a fire water pond or a water intake terminal. The construction position is high-rise building or fire control key unit. The construction capacity may be 100 to 200 cubic meters or 500 to 600 cubic meters. The connection relation of the construction pipelines can be obtained by taking a block as a unit and connecting all fire-fighting pool pipelines in the same block.
Further, a first topological connection relationship of all construction water sources is established based on the construction pipeline connection relationship. For example, according to the connection relationship of the construction pipelines, which uses the blocks as units, all the fire-fighting water tank pipelines in the same block are connected, and the connection relationship of all the fire-fighting water tank pipelines in a plurality of blocks is established.
Further, the unconnected construction water source and the natural water source are extracted, the road connection relation is collected, and a second topological connection relation of the unconnected construction water source and the natural water source is established based on the road connection relation. For example, the second topological connection relationship is obtained by arranging a water diversion pipeline at a water source until a water taking vehicle stops.
Further, based on the road connection relationship, the first topological connection relationship and the second topological connection relationship are connected and combined to obtain the fire-fighting water source topological structure. For example, according to the neighborhood and road information, the fire-fighting water pool pipeline connection relationship and the water diversion pipeline connection information are combined to obtain the fire-fighting water source topological structure.
Wherein, the efficiency of long-range water supply can be improved to the construction fire control water source topological structure.
The method provided by the embodiment of the disclosure further comprises the following steps:
acquiring the current fire type and fire area;
predicting the water consumption based on the current fire type and the fire area, and determining the water consumption of the fire;
Acquiring the water storage capacity of the current police-outputting vehicle and the fire-fighting water consumption at the current position;
and obtaining the current required fire water consumption according to the water storage capacity of the current police-outputting vehicle, the fire water consumption at the current position and the fire water consumption.
Specifically, the current fire type and fire area are acquired. Among them, fire types are classified into solid matter fires, liquid or meltable solid matter fires, gas fires, metal fires, charged fires, cooking fires in cooking appliances.
Further, the water consumption of the fire is predicted based on the current fire type and the fire area, and the water consumption of the fire is determined. Wherein, when the fire area is bigger, the more the fire water consumption is. For example, fire water usage is obtained between several hundred liters and thousands of liters.
Further, the water storage capacity of the current warning vehicle is obtained through the warning record. And determining the fire water consumption at the current position through the positioning information of the police-out vehicle. The fire-fighting water consumption at the current position is water consumption capable of extinguishing fire through a fire-fighting water source.
Further, the water storage capacity of the current police-out vehicle and the fire-fighting water consumption at the current position are removed according to the fire water consumption, and the fire-fighting water consumption of the current requirement is obtained. The current required fire-fighting water consumption is the water consumption required for fire extinguishment.
The method comprises the steps of acquiring the current fire position information and the current required fire water consumption, and improving the efficiency of the subsequent remote water supply decision.
The method provided by the embodiment of the disclosure further comprises the following steps:
determining the water consumption gap amount according to the current required fire water consumption;
performing traversal matching on the current fire position information and the position in the fire-fighting water source topological structure to determine a position distance relation;
performing traversal matching by using the water gap amount and the water supply amount in the fire-fighting water source topological structure to determine a water supply amount relation;
And using the position distance relation and the water supply quantity relation as the matching corresponding relation to perform relation identification on each water source.
Specifically, the water usage gap amount in the fire water source topology structure is determined according to the current required fire water usage amount. Further, the fire-fighting water source topological structure is sequentially accessed, the current fire position information is sequentially matched with the position in the fire-fighting water source topological structure, the successfully matched position is extracted, and the position distance relation is determined. Further, the fire water source topological structure is sequentially accessed, the water notch quantity is sequentially matched with the water source supply quantity in the fire water source topological structure, the successfully matched water source supply quantity is extracted, and the water supply quantity relation is determined. Further, the position distance relation and the water supply amount relation are used as matching corresponding relations, the water supply amount relation is obtained through the position distance relation, and the position distance relation of each water source is identified.
The current fire position information and the current required fire water consumption are utilized to be matched with the fire water source topological structure, so that the efficiency of remote water supply tuning can be improved.
The method provided by the embodiment of the disclosure further comprises the following steps:
Establishing a supply speed relation and a supply water quantity relation according to the position distance relation and the water supply quantity relation;
summarizing the supply speed relation and the supply water quantity relation to construct a water supply evaluation fitness function with maximum supply speed and supply water quantity targets;
And constructing an optimizing space based on the water supply evaluation fitness function, performing global optimization by using a preset optimizing algorithm, and taking the optimal strategy of the global optimization as the water supply strategy.
Specifically, according to the position distance relation and the water supply quantity relation, a supply speed relation and a supply water quantity relation are established by calculating water flow in the position distance. Further, the supply speed relation and the supply water amount relation are summarized, and the supply speed relation and the supply water amount relation are connected with each other with the supply speed and the supply water amount being the maximum target, so as to construct the water supply evaluation fitness function. Further, based on the water supply evaluation fitness function, an optimal solution is obtained, an optimizing space is constructed, global optimization is performed by using a preset optimizing algorithm, and an optimal strategy of the global optimization is used as a water supply strategy. The preset optimizing algorithm is an algorithm for performing global optimizing in an optimizing space.
And carrying out remote water supply scheme optimizing based on each matching relation, determining a water supply strategy, and improving the optimizing efficiency of remote water supply.
The method provided by the embodiment of the disclosure further comprises the following steps:
Acquiring the water storage capacity of each type of vehicle and the number of each type of vehicle;
Constructing constraint conditions based on the water storage capacity of each type of vehicle and the number of each type of vehicle;
Adding the constraint condition into the optimizing space to perform water supply strategy optimization;
and obtaining the fire-fighting vehicle scheduling information based on the water supply strategy obtained by optimizing the water supply strategy.
Specifically, the water storage capacity of each type of vehicle and the number of each type of vehicle are obtained through the vehicle alarm record. Further, based on the water storage amount of each type of vehicle and the number of each type of vehicle, the product of the water storage amount of each type of vehicle and the number of each type of vehicle is calculated and obtained and used as the total capacity of the vehicle scheduling water, and constraint conditions are constructed.
Further, adding constraint conditions into the optimizing space to perform water supply strategy optimization. And calculating the quotient of the current required fire-fighting water consumption and the primary scheduling capacity by taking the total capacity of the vehicle scheduling water as the primary scheduling capacity, and obtaining the scheduling times. Further, based on the water supply strategy obtained by optimizing the water supply strategy, the fire-fighting vehicle scheduling information is obtained.
Wherein, generating fire vehicle dispatch information improves the efficiency of remote water supply's tuning.
For example, let a i be the flow of each type of vehicle equipment using a door, b i be the minimum number of each type of vehicle equipment using, c i be the maximum number of each type of equipment using, let x i be the number of doors using the i-th type of vehicle equipment (i=1, 2,3, 4), establish a linear relationship as follows: Constraint:/>
The method provided by the embodiment of the disclosure further comprises the following steps:
obtaining laying parameters of a water band laying device, including laying length and pipeline caliber;
obtaining a supercharging parameter of a supercharging device;
Determining a pipeline laying path, relief pressure information and path water supply amount based on the water supply strategy;
Performing strategy optimization on the laying parameters and the pressurizing parameters according to the pipeline laying path, the relief pressure information and the path water supply quantity, and determining a laying execution strategy and a pressurizing execution strategy;
And obtaining remote water supply fire control execution information based on the fire control vehicle scheduling information, the laying execution strategy and the pressurizing execution strategy.
The water hose laying device is used for laying and recycling fire hose, and is implemented by a water hose laying fire truck which consists of a water hose laying mechanism, a winding mechanism, a large-caliber water hose, a cleaning system and the like, and accessories such as a large-size water hose protecting bridge, a water separator, a simple water hose cart and the like are arranged on the truck. Further, the laying parameters of the hose laying device are obtained. Wherein the laying parameters comprise laying length and pipeline caliber.
Further, a boost parameter of the boost device is obtained. The supercharging device is a device consisting of a power unit and a booster pump. Further, a pipe laying path, relief pressure information of each path, path water supply amount in the fire water source topology are determined based on the water supply strategy. When the relief pressure is large, the larger the parameter to be pressurized is, the lower the water regulating efficiency is.
Further, the laying parameters and the pressurizing parameters are subjected to strategy optimization according to the pipeline laying path, the relief pressure information and the path water supply quantity. When the pipeline is laid longer, the relief pressure is higher, the water supply amount of the pipeline is smaller, the laying parameters are more and the pressurizing parameters are more. And then determining a paving execution strategy and a supercharging execution strategy. Further, based on the fire-fighting vehicle scheduling information, the paving execution strategy and the pressurizing execution strategy, the remote water supply fire-fighting execution information is obtained and used for executing remote water supply.
Wherein, obtain the efficiency that the long-range water supply fire control was carried out information and is improved long-range water supply.
Example two
Based on the same inventive concept as the remote water supply tuning method in the foregoing embodiments, the disclosure will be described with reference to fig. 3, and the present disclosure further provides a remote water supply tuning system, which includes:
The fire water source topology structure obtaining module 11 is used for collecting position information and path relation of a fire water source and constructing a fire water source topology structure, wherein the fire water source comprises a natural water source and a construction water source;
The current required fire-fighting water consumption obtaining module 12, wherein the current required fire-fighting water consumption obtaining module 12 is used for obtaining current fire position information and current required fire-fighting water consumption;
The matching corresponding relation obtaining module 13 is used for utilizing the current fire position information, the current required fire water consumption and the fire water source topological structure to match, so as to determine a matching corresponding relation;
the matching relation obtaining module 14 is configured to establish a matching relation of each matching correspondence based on the matching correspondence by the matching relation obtaining module 14;
The water supply strategy obtaining module 15 is used for carrying out remote water supply scheme optimization based on each matching relation, and determining a water supply strategy;
The remote water supply fire control execution module 16 is used for generating fire control vehicle scheduling information according to the water supply strategy and executing remote water supply fire control execution operation.
Further, the system further comprises:
the pipeline connection relation construction module is used for acquiring foundation construction information of a construction water source, wherein the foundation construction information comprises construction positions, construction capacities and construction pipeline connection relations;
The first topological connection relation establishing module is used for establishing first topological connection relations of all construction water sources based on the construction pipeline connection relation;
The second topological connection relation establishing module is used for extracting unconnected construction water sources and natural water sources, collecting road connection relations and establishing the second topological connection relation of the unconnected construction water sources and the natural water sources based on the road connection relations;
The topological connection relation merging module is used for carrying out connection merging on the first topological connection relation and the second topological connection relation based on the road connection relation to obtain the fire-fighting water source topological structure.
Further, the system further comprises:
The current fire type obtaining module is used for obtaining the current fire type and the fire area;
the fire water consumption determining module is used for predicting water consumption based on the current fire type and the fire area and determining fire water consumption;
the current position fire-fighting water consumption obtaining module is used for obtaining the water storage capacity of the current police-exiting vehicle and the current position fire-fighting water consumption;
the current demand fire-fighting water consumption obtaining module is used for obtaining the current demand fire-fighting water consumption according to the water storage capacity of the current police-out vehicle, the current position fire-fighting water consumption and the fire disaster water consumption.
Further, the system further comprises:
the water consumption gap amount determining module is used for determining the water consumption gap amount according to the current required fire-fighting water consumption;
The position and distance relation determining module is used for performing traversal matching on the current fire position information and the position in the fire-fighting water source topological structure to determine a position and distance relation;
The water supply amount relation determining module is used for determining a water supply amount relation by utilizing the water gap amount to carry out traversal matching with the water supply amount in the fire-fighting water source topological structure;
The water source relation identification module is used for identifying the relation of each water source by taking the position distance relation and the water supply amount relation as the matching corresponding relation.
Further, the system further comprises:
The water supply quantity relation obtaining module is used for establishing a water supply speed relation and a water supply quantity relation according to the position distance relation and the water supply quantity relation;
The water supply evaluation fitness function construction module is used for summarizing the supply speed relation and the supply water quantity relation to construct a water supply evaluation fitness function with maximum supply speed and supply water quantity targets;
The global optimizing module is used for constructing an optimizing space based on the water supply evaluation fitness function, performing global optimizing by using a preset optimizing algorithm, and taking an optimal strategy of the global optimizing as the water supply strategy.
Further, the system further comprises:
The system comprises a quantity acquisition module of each type of vehicle, a quantity control module and a quantity control module, wherein the quantity acquisition module of each type of vehicle is used for acquiring the water storage quantity of each type of vehicle and the quantity of each type of vehicle;
The constraint condition construction module is used for constructing constraint conditions based on the water storage capacity of the vehicles of various types and the number of the vehicles of various types;
The water supply strategy optimizing module is used for adding the constraint condition into the optimizing space to perform water supply strategy optimization;
the fire-fighting vehicle scheduling information acquisition module is used for acquiring the fire-fighting vehicle scheduling information based on the water supply strategy obtained by optimizing the water supply strategy.
Further, the system further comprises:
The laying parameter obtaining module is used for obtaining the laying parameters of the water band laying device, including the laying length and the caliber of the pipeline;
The supercharging parameter obtaining module is used for obtaining supercharging parameters of the supercharging device;
A pipe-laying path determination module for determining a pipe-laying path, relief pressure information, and path water supply amount based on the water supply strategy;
The laying execution strategy obtaining module is used for carrying out strategy optimization on the laying parameters and the pressurizing parameters according to the pipeline laying path, the relief pressure information and the path water supply quantity, and determining the laying execution strategy and the pressurizing execution strategy;
The remote water supply fire control execution information acquisition module is used for acquiring remote water supply fire control execution information based on the fire control vehicle scheduling information, the laying execution strategy and the pressurizing execution strategy.
The specific example of the remote water supply tuning method in the first embodiment is also applicable to the remote water supply tuning system in the present embodiment, and those skilled in the art can clearly know the remote water supply tuning system in the present embodiment through the foregoing detailed description of the remote water supply tuning method, so that the description is omitted herein for brevity. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simpler, and the relevant points refer to the description of the method.
Example III
Fig. 4 is a schematic diagram according to a third embodiment of the present disclosure, as shown in fig. 4, a computer device 100 in the present disclosure may include: a processor 101 and a memory 102.
The memory 102 for storing programs may include a volatile memory (english: volatile memory), such as a random-access memory (RAM), such as a static random-access memory (SRAM), a double data rate synchronous dynamic random-access memory (DDR SDRAM), and the like; the memory may also include a non-volatile memory (English) such as a flash memory (English). The memory 102 is used to store computer programs (e.g., application programs, functional modules, etc. that implement the methods described above), computer instructions, etc., which may be stored in one or more of the memories 102 in partitions. And the above-described computer programs, computer instructions, data, etc. may be invoked by the processor 101.
The computer programs, computer instructions, etc. described above may be stored in one or more of the memories 102 in partitions. And the above-described computer programs, computer instructions, etc. may be invoked by the processor 101.
A processor 101 for executing a computer program stored in a memory 102 to implement the steps of the method according to the above-mentioned embodiment.
Reference may be made in particular to the description of the embodiments of the method described above.
The processor 101 and the memory 102 may be separate structures or may be integrated structures integrated together. When the processor 101 and the memory 102 are separate structures, the memory 102 and the processor 101 may be coupled by a bus 103.
The computer device in this embodiment may execute the technical solution in the above method, and the specific implementation process and the technical principle are the same, which are not described herein again.
According to an embodiment of the present disclosure, the present disclosure further provides a computer readable storage medium having stored thereon a computer program which, when executed, implements the steps provided by any of the above embodiments.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (5)

1. A method of optimizing a remote water supply, comprising:
Collecting position information and a path relation of a fire water source, and constructing a fire water source topological structure, wherein the fire water source comprises a natural water source and a construction water source;
Acquiring current fire position information and current required fire water consumption;
matching the current fire position information, the current required fire water consumption and the fire water source topological structure to determine a matching corresponding relation;
Based on the matching corresponding relation, a matching relation formula of each matching corresponding relation is established;
Remote water supply scheme optimizing is carried out based on each matching relation, and a water supply strategy is determined;
generating fire-fighting vehicle scheduling information according to the water supply strategy, and implementing remote water supply fire-fighting execution operation;
The method for acquiring the position information and the path relation of the fire-fighting water source and constructing the fire-fighting water source topological structure comprises the following steps:
Acquiring foundation construction information of a construction water source, wherein the foundation construction information comprises construction positions, construction capacities and construction pipeline connection relations;
Establishing a first topological connection relation of all construction water sources based on the construction pipeline connection relation;
Extracting unconnected construction water sources and natural water sources, collecting road connection relations, and establishing a second topological connection relation of the unconnected construction water sources and the natural water sources based on the road connection relations;
Based on the road connection relationship, the first topological connection relationship and the second topological connection relationship are connected and combined to obtain the fire-fighting water source topological structure;
Wherein, the implementation remote water supply fire control execution operation previously includes:
obtaining laying parameters of a water band laying device, including laying length and pipeline caliber;
obtaining a supercharging parameter of a supercharging device;
Determining a pipeline laying path, relief pressure information and path water supply amount based on the water supply strategy;
Performing strategy optimization on the laying parameters and the pressurizing parameters according to the pipeline laying path, the relief pressure information and the path water supply quantity, and determining a laying execution strategy and a pressurizing execution strategy;
Acquiring remote water supply fire control execution information based on the fire control vehicle scheduling information, the laying execution strategy and the pressurizing execution strategy;
Wherein, utilize current fire location information, current demand fire control water consumption with fire control water source topological structure matches, include:
determining the water consumption gap amount according to the current required fire water consumption;
performing traversal matching on the current fire position information and the position in the fire-fighting water source topological structure to determine a position distance relation;
performing traversal matching by using the water gap amount and the water supply amount in the fire-fighting water source topological structure to determine a water supply amount relation;
The position distance relation and the water supply quantity relation are used as the matching corresponding relation, and relation identification is carried out on each water source;
the remote water supply scheme optimizing method based on each matching relation, and determining the water supply strategy comprises the following steps:
Establishing a supply speed relation and a supply water quantity relation according to the position distance relation and the water supply quantity relation;
summarizing the supply speed relation and the supply water quantity relation to construct a water supply evaluation fitness function with maximum supply speed and supply water quantity targets;
Constructing an optimizing space based on the water supply evaluation fitness function, performing global optimization by using a preset optimizing algorithm, and taking an optimal strategy of the global optimization as the water supply strategy;
wherein the generating fire vehicle scheduling information includes:
Acquiring the water storage capacity of each type of vehicle and the number of each type of vehicle;
Constructing constraint conditions based on the water storage capacity of each type of vehicle and the number of each type of vehicle;
Adding the constraint condition into the optimizing space to perform water supply strategy optimization;
and obtaining the fire-fighting vehicle scheduling information based on the water supply strategy obtained by optimizing the water supply strategy.
2. The method of claim 1, wherein the obtaining current fire location information and current required fire water usage comprises:
acquiring the current fire type and fire area;
predicting the water consumption based on the current fire type and the fire area, and determining the water consumption of the fire;
Acquiring the water storage capacity of the current police-outputting vehicle and the fire-fighting water consumption at the current position;
and obtaining the current required fire water consumption according to the water storage capacity of the current police-outputting vehicle, the fire water consumption at the current position and the fire water consumption.
3. A remote water supply tuning system for implementing a remote water supply tuning method according to any one of claims 1-2, said system comprising:
The fire water source topology structure acquisition module is used for acquiring position information and a path relation of a fire water source and constructing a fire water source topology structure, wherein the fire water source comprises a natural water source and a construction water source;
The current required fire-fighting water consumption obtaining module is used for obtaining current fire position information and current required fire-fighting water consumption;
The matching corresponding relation obtaining module is used for matching the current fire position information, the current required fire water consumption and the fire water source topological structure to determine a matching corresponding relation;
The matching relation obtaining module is used for establishing a matching relation of each matching corresponding relation based on the matching corresponding relation;
The water supply strategy obtaining module is used for carrying out remote water supply scheme optimization based on each matching relation to determine a water supply strategy;
The remote water supply fire control execution module is used for generating fire control vehicle scheduling information according to the water supply strategy and executing remote water supply fire control execution operation.
4. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1-2 when the computer program is executed.
5.A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1-2.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108571978A (en) * 2018-03-09 2018-09-25 杭州电子科技大学 Discharge beyond standards vehicle shortest path tracking and matching method based on topology and weight
CN109658287A (en) * 2018-12-27 2019-04-19 中国水利水电科学研究院 A kind of basin water dispatching method evenly distributed based on water resource space-time
CN110162549A (en) * 2019-04-01 2019-08-23 深圳市中电数通智慧安全科技股份有限公司 A kind of fire data analysis method, device, readable storage medium storing program for executing and terminal device
CN114768157A (en) * 2022-03-21 2022-07-22 上海荆桂智能科技有限公司 Fire-fighting water supply strategy deployment method, system, medium and computer equipment
CN115422444A (en) * 2022-08-22 2022-12-02 上海杰狮信息技术有限公司 Fire hydrant recommendation method, device and equipment and computer readable storage medium
CN115795997A (en) * 2022-10-17 2023-03-14 上海城市水资源开发利用国家工程中心有限公司 Water taking combination optimization method for municipal fire hydrant
CN116046001A (en) * 2022-11-26 2023-05-02 中国消防救援学院 Rescue path planning method and system based on intelligent fire fighting
CN116227763A (en) * 2022-11-26 2023-06-06 中国消防救援学院 Visual model-based fire emergency command method and system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108571978A (en) * 2018-03-09 2018-09-25 杭州电子科技大学 Discharge beyond standards vehicle shortest path tracking and matching method based on topology and weight
CN109658287A (en) * 2018-12-27 2019-04-19 中国水利水电科学研究院 A kind of basin water dispatching method evenly distributed based on water resource space-time
CN110162549A (en) * 2019-04-01 2019-08-23 深圳市中电数通智慧安全科技股份有限公司 A kind of fire data analysis method, device, readable storage medium storing program for executing and terminal device
CN114768157A (en) * 2022-03-21 2022-07-22 上海荆桂智能科技有限公司 Fire-fighting water supply strategy deployment method, system, medium and computer equipment
CN115422444A (en) * 2022-08-22 2022-12-02 上海杰狮信息技术有限公司 Fire hydrant recommendation method, device and equipment and computer readable storage medium
CN115795997A (en) * 2022-10-17 2023-03-14 上海城市水资源开发利用国家工程中心有限公司 Water taking combination optimization method for municipal fire hydrant
CN116046001A (en) * 2022-11-26 2023-05-02 中国消防救援学院 Rescue path planning method and system based on intelligent fire fighting
CN116227763A (en) * 2022-11-26 2023-06-06 中国消防救援学院 Visual model-based fire emergency command method and system

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