CN112102478A - Method and system for building intelligent electronic sand table - Google Patents
Method and system for building intelligent electronic sand table Download PDFInfo
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- CN112102478A CN112102478A CN202010981601.0A CN202010981601A CN112102478A CN 112102478 A CN112102478 A CN 112102478A CN 202010981601 A CN202010981601 A CN 202010981601A CN 112102478 A CN112102478 A CN 112102478A
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Abstract
The invention provides a method and a system for building an intelligent electronic sand table, wherein the method comprises the following steps: receiving a human-computer interaction operation instruction input by an operator based on a control center; reading a human-computer interaction operation instruction based on an intelligent algorithm engine; decoding the read human-computer interaction operation instruction, performing intelligent analysis by associating an intelligent rule base and a three-dimensional intelligent component base, and obtaining an intelligent feedback result based on a GIS map module; and the intelligent algorithm engine is used for presenting an intelligent feedback result on the constructed target electronic sand table in a visual mode based on the control center for an operator to view. The intelligent auxiliary analysis tool is used for assisting the fingers in the fighting decision of fire-fighting rescue, so that the efficiency of the fire-fighting rescue is improved.
Description
Technical Field
The invention relates to the technical field of electronic sand tables, in particular to a method and a system for building an intelligent electronic sand table.
Background
The fire disaster suppression difficulty of disaster accidents such as large-scale oil storage tank areas, high-rise/super high-rise buildings, large-span large spaces, underground buildings and the like is very large, and in order to quickly and effectively control and successfully suppress the fire, not only must the fire extinguishing agent have excellent equipment and sufficient fire extinguishing agents, but also must flexible and scientific rescue decisions aiming at different conditions in the fire extinguishing and rescue process, so that a commander with long-term actual combat experience accumulation cannot be used, the capacity can be achieved through expert data statistics, 1000 accidents need to be commanded probably, and the actual combat experience of the commander needs about 10-15 years (the actual combat experience of most of the commanders cannot reach the year limit).
Therefore, the sand table technology can be generated at the end, and can be used for rapidly simulating and reproducing the actual operation environment, so that a commander can conveniently carry out disaster deduction and operation deployment and discussion so as to be convenient for visual decision assistance.
The prior sand table technology comprises the following steps:
1. traditional object sand table: the method utilizes a micro-entity mode to express the landform characteristics, expresses mountain bodies, water bodies, roads, buildings and other objects in the model, and provides some entity rescue models for scene simulation and decision study, but has high cost, visual dynamic simulation of disaster situations cannot be realized, repeated study operation is not facilitated, and carrying is not facilitated for field command.
2. Traditional two-dimensional electronic sand table:
a two-dimensional GIS map is utilized, a combat plotting atlas is integrated, feedback study can be supported, and the defects of insufficient stereo and image exist.
3. Traditional three-dimensional electronic sand table:
the first stage is as follows: model customization is carried out through professional modeling companies, real scene models are restored, and visual display, disaster simulation and battle deployment study and discussion are carried out by combining a 3D engine platform, but professional modeling cost is extremely high, technical requirements are high, and the method is not beneficial to large-scale application.
And a second stage: in order to reduce the cost, a standard three-dimensional model assembly is combined with a three-dimensional engine, and building blocks are built by taking a platform drawing as reference, so that a three-dimensional electronic sand table is formed, and the modeling cost is greatly reduced.
However, the traditional three-dimensional electronic sand table building method is still not an optimal solution, only a single visual building is performed, assistance in a scene visualization stage is provided for fire extinguishing and rescue of a commander, decision making still needs a large amount of actual combat experience to support, and powerful auxiliary decision making support cannot be provided for the commander quickly in an emergency.
Therefore, some intelligent auxiliary analysis tools are needed to assist the commander in making a fighting decision for fire-fighting rescue, so as to improve the efficiency of fire-fighting rescue.
Disclosure of Invention
The invention provides a method and a system for building an intelligent electronic sand table, which are used for solving the technical problems.
The invention provides a method for building an intelligent electronic sand table, which comprises the following steps:
receiving a human-computer interaction operation instruction input by an operator based on a control center;
reading the human-computer interaction operation instruction based on an intelligent algorithm engine;
decoding the read human-computer interaction operation instruction, performing intelligent analysis by associating an intelligent rule base and a three-dimensional intelligent component base, and obtaining an intelligent feedback result based on a GIS map module;
and the intelligent algorithm engine is used for presenting the intelligent feedback result on the constructed target electronic sand table in a visual mode based on a control center for the operator to view.
In one possible way of realisation,
the intelligent analysis of the association intelligent rule base and the three-dimensional intelligent component base comprises the following steps:
importing basic data based on the control center;
carrying out intelligent preprocessing on the basic data, associating the intelligent rule base with the three-dimensional intelligent component base, and generating a three-dimensional model;
screening a first assembly based on the three-dimensional intelligent assembly library, and dragging the first assembly to the three-dimensional model for construction;
the method comprises the steps that in the process of building the three-dimensional model, the building specification of the first assembly is evaluated and prompted and guided in real time on the basis of the intelligent rule base;
and after the three-dimensional model is built, performing three-dimensional GIS display.
In one possible way of realisation,
the intelligent feedback result obtained based on the GIS map module comprises the following steps:
simulating and building a target disaster scene of the target electronic sand table based on a disaster component library and a GIS map module;
the intelligent algorithm engine intelligently analyzes the target disaster scene according to the component characteristics of disaster components in the disaster component library and the intelligent rule library, so that the resource scheduling decision in the target disaster scene is intelligentized;
in the process of simulating a target disaster scene, acquiring a combat deployment scheme for dealing with a target disaster, and feeding back a combat deployment position, a combat effective area and a combat decision related to the combat deployment scheme in real time, wherein the combat deployment position, the combat effective area and the type of the fire extinguishing agent are related to the combat deployment scheme;
comprehensively evaluating the combat deployment scheme according to the combat decision and outputting a modification suggestion;
the disaster component in the disaster component library is used for carrying out intelligent shape change according to the type of a disaster-bearing body in the target disaster scene and the disaster evolution rule;
the disaster component is further used for intelligently analyzing the evolution result of the target disaster scene after a preset time period in the future.
In one possible way of realisation,
the intelligent three-dimensional component library is used for carrying out component splitting on a bearing body, fire-fighting facilities and rescue resources contained in disaster rescue and establishing an intelligent attribute database for each split component;
the intelligent attribute database comprises a static intelligent attribute database and a dynamic intelligent attribute database;
the static intelligent attribute database is related to the type, size, position coordinates, quantity and performance of the components;
the dynamic intelligent attribute database is related to the dynamic parameters, the dynamic function special effects, the self function special effects and the self characteristic special effects of the components.
In one possible way of realisation,
the GIS map module is a building carrier of the target electronic sand table, is used for building disaster-bearing bodies based on a GIS map, and forms a data set by building a three-dimensional disaster-bearing body group and adding an intelligent three-dimensional assembly;
wherein, the bearing body comprises a building class and a petrochemical class;
the GIS map module is also used for intelligently dragging the assembly based on a GIS map and forming a fire-fighting facility area, a rescue resource area, a disaster site area and a combat deployment area;
and building a target disaster scene according to the composition result.
In one possible way of realisation,
the intelligent rule base is used for analyzing disaster-bearing bodies in disaster rescue and rescue decisions corresponding to different disaster-bearing bodies, and performing multi-dimensional label matching on each rescue rule in the disaster rescue according to an analysis result;
wherein the intelligent rule base comprises: building an intelligent rule base and an auxiliary decision intelligent rule base by a disaster carrier;
the disaster-bearing body construction intelligent rule base is digitally converted according to the construction specifications of various types of disaster-bearing bodies to form a first intelligent rule base;
the auxiliary decision intelligent rule base carries out digital conversion according to decision specifications in emergencies of various types of disaster-bearing bodies to form a second intelligent rule base;
and forming the intelligent rule base according to the formed first intelligent rule base and the second intelligent rule base.
In one possible way of realisation,
the intelligent algorithm engine is used for reading a human-computer interaction operation instruction received by the control center and decoding the human-computer interaction operation instruction;
and according to the instruction decoding result, intelligently analyzing by matching the multi-dimensional label with the associated intelligent rule base, and outputting an intelligent feedback result to the control center.
In one possible way of realisation,
the control center is a digital operation platform.
The invention provides a system for building an intelligent electronic sand table, which comprises:
the control center is used for receiving a human-computer interaction operation instruction input by an operator;
the intelligent algorithm engine is used for reading the human-computer interaction operation instruction and decoding the read human-computer interaction operation instruction;
the intelligent rule base and the three-dimensional intelligent component base are associated and used for intelligently analyzing the human-computer interaction operation instruction after decoding processing;
the GIS map module is used for obtaining an intelligent feedback result according to an intelligent analysis result;
and the intelligent algorithm engine is also used for presenting the intelligent feedback result on the constructed target electronic sand table in a visual mode based on the control center for the operator to view.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a method for building an intelligent electronic sand table according to an embodiment of the present invention;
FIG. 2 is a block diagram of an intelligent three-dimensional component library in an embodiment of the invention;
FIG. 3 is a flow chart of the operation of the intelligent algorithm engine in an embodiment of the present invention;
fig. 4 is a structural diagram of a building system of an intelligent electronic sand table in the embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides a building method and a system of an intelligent electronic sand table, which mainly solve the problem of intelligent building of a three-dimensional electronic sand table in two stages of daily and actual combat command, wherein the intelligent building assists in quickly building a key unit (disaster-bearing body) three-dimensional electronic sand table in daily, and assists a commander in quickly building a fire scene sand table in actual combat command, and the operation deployment is quickly adjusted according to the development of a disaster, and intelligent feedback is given in the whole process, so that decision intelligence is realized; through interaction, the intelligent electronic sand table can give out relevant analysis, meanwhile, the self fire extinguishing scheme can be quickly expressed in the sand table, verification is carried out through intelligent feedback and evaluation of the sand table, and decision intellectualization is achieved. The invention can be used for auxiliary decision making in the fire fighting site and daily familiarity training.
The embodiment of the invention provides a method for building an intelligent electronic sand table, which comprises the following steps of:
step 1: receiving a human-computer interaction operation instruction input by an operator based on a control center;
step 2: reading the human-computer interaction operation instruction based on an intelligent algorithm engine;
and step 3: decoding the read human-computer interaction operation instruction, performing intelligent analysis by associating an intelligent rule base and a three-dimensional intelligent component base, and obtaining an intelligent feedback result based on a GIS map module;
and 4, step 4: and the intelligent algorithm engine is used for presenting the intelligent feedback result on the constructed target electronic sand table in a visual mode based on a control center for the operator to view.
In this embodiment, the human-computer interaction operation instruction may be an instruction related to disaster rescue, such as component construction, dragging, and intelligent rescue.
In the embodiment, when each operation of building and dragging the component onto the target sand table is performed, for example, at the point a, the condition of the component at the point a is intelligently analyzed, for example, whether the component should be placed at the point a, the placing direction and the placing position of the component at the point a and the like are judged, and evaluation and suggestion are given.
In the embodiment, when the target sand table is built, the whole is comprehensively evaluated, and the effectiveness of the whole building is known.
In this embodiment, a GIS (Geographic Information System or Geo-Information System).
The beneficial effects of the above technical scheme are: the intelligent auxiliary analysis tool is utilized to assist in the operation decision of disaster rescue, so that the efficiency of disaster rescue is improved.
The embodiment of the invention provides a method for building an intelligent electronic sand table, which comprises the following steps of associating an intelligent rule base and a three-dimensional intelligent component base for intelligent analysis:
importing basic data based on the control center;
carrying out intelligent preprocessing on the basic data, associating the intelligent rule base with the three-dimensional intelligent component base, and generating a three-dimensional model;
screening a first assembly based on the three-dimensional intelligent assembly library, and dragging the first assembly to the three-dimensional model for construction;
the method comprises the steps that in the process of building the three-dimensional model, the building specification of the first assembly is evaluated and prompted and guided in real time on the basis of the intelligent rule base;
and after the three-dimensional model is built, performing three-dimensional GIS display.
In this embodiment, the basic data is, for example: drawing/model data in other formats (jpg/png/CAD/BIM/UAV/3 Dmax), and the like.
The beneficial effects of the above technical scheme are: the construction standard of each construction assembly is evaluated, so that the construction correctness and rationality in the construction process are guaranteed, the intelligent construction is facilitated, a basic scene is provided for follow-up disaster rescue, and rescue training is facilitated.
The embodiment of the invention provides a method for building an intelligent electronic sand table, which comprises the following steps of obtaining an intelligent feedback result based on a GIS map module:
simulating and building a target disaster scene of the target electronic sand table based on a disaster component library and a GIS map module;
the intelligent algorithm engine intelligently analyzes the target disaster scene according to the component characteristics of disaster components in the disaster component library and the intelligent rule library, so that the resource scheduling decision in the target disaster scene is intelligentized;
in the process of simulating a target disaster scene, acquiring a combat deployment scheme for dealing with a target disaster, and feeding back a combat deployment position, a combat effective area and a combat decision related to the combat deployment scheme in real time, wherein the combat deployment position, the combat effective area and the type of the fire extinguishing agent are related to the combat deployment scheme;
comprehensively evaluating the combat deployment scheme according to the combat decision and outputting a modification suggestion;
the disaster component in the disaster component library is used for carrying out intelligent shape change according to the type of a disaster-bearing body in the target disaster scene and the disaster evolution rule;
the disaster component is further used for intelligently analyzing the evolution result of the target disaster scene after a preset time period in the future.
In this embodiment, the resource scheduling decision intelligence can analyze from which team to schedule, what type of resource to schedule, how many resources to schedule, and the like.
The beneficial effects of the above technical scheme are: through intelligent decision-making, be convenient for improve disaster rescue's efficiency, and through carrying out comprehensive assessment and suggestion to the scheme, be convenient for guarantee the exactness and the rationality of whole scheme.
The embodiment of the invention provides a method for building an intelligent electronic sand table,
the intelligent three-dimensional component library is used for carrying out component splitting on a bearing body, fire-fighting facilities and rescue resources contained in disaster rescue and establishing an intelligent attribute database for each split component;
the intelligent attribute database comprises a static intelligent attribute database and a dynamic intelligent attribute database;
the static intelligent attribute database is related to the type, size, position coordinates, quantity and performance of the components;
the dynamic intelligent attribute database is related to the dynamic parameters, the dynamic function special effects, the self function special effects and the self characteristic special effects of the components.
In this embodiment, the dynamic parameters include, for example: the dynamic function special effect can be a special effect (liquid level height display) corresponding to dynamic parameters including temperature, pressure, liquid, flow and the like, the self function special effect can be opening and closing of doors and windows, lifting of a fireproof rolling curtain, water belt connection of fire hydrant, movement and injection of fire fighting vehicles, and the self characteristic special effect can be collapse exceeding fire resistance limit, special combustion forms of different components and the like.
As shown in fig. 2, the intelligent three-dimensional component library includes a component set, and the component set includes: component 1, component 2, component n, etc.; each component includes different intelligence attributes.
The beneficial effects of the above technical scheme are: by splitting the components and establishing a database, the real world can be simulated conveniently based on the components, and the simulation of disaster rescue is facilitated.
The embodiment of the invention provides a method for building an intelligent electronic sand table,
the GIS map module is a building carrier of the target electronic sand table, is used for building disaster-bearing bodies based on a GIS map, and forms a data set by building a three-dimensional disaster-bearing body group and adding an intelligent three-dimensional assembly;
wherein, the bearing body comprises a building class and a petrochemical class;
the GIS map module is also used for intelligently dragging the assembly based on a GIS map and forming a fire-fighting facility area, a rescue resource area, a disaster site area and a combat deployment area;
and building a target disaster scene according to the composition result.
In this embodiment, the building class includes: single-story buildings, multi-story buildings, high-rise buildings, super high-rise buildings, etc.;
petrochemicals include: oil fields, tank farms, plant farms, etc.
In this embodiment, the GIS map module includes a set of components related to disaster recovery, fire fighting facilities, rescue resources, disaster sites, combat deployment, and the like, and each set of components also includes a plurality of components, and each component includes a plurality of intelligent attributes.
The beneficial effects of the above technical scheme are: and by the GIS map module, the construction of a disaster bearing body is facilitated, and big data support is provided for intelligent decision making.
The embodiment of the invention provides a method for building an intelligent electronic sand table,
the intelligent rule base is used for analyzing disaster-bearing bodies in disaster rescue and rescue decisions corresponding to different disaster-bearing bodies, and performing multi-dimensional label matching on each rescue rule in the disaster rescue according to an analysis result;
wherein the intelligent rule base comprises: building an intelligent rule base and an auxiliary decision intelligent rule base by a disaster carrier;
the disaster-bearing body construction intelligent rule base is digitally converted according to the construction specifications of various types of disaster-bearing bodies to form a first intelligent rule base;
the auxiliary decision intelligent rule base carries out digital conversion according to decision specifications in emergencies of various types of disaster-bearing bodies to form a second intelligent rule base;
and forming the intelligent rule base according to the formed first intelligent rule base and the second intelligent rule base.
In the embodiment, an intelligent rule base is built for a disaster-bearing body, for example, the distance between fire hydrants, the fire-proof distance, the road requirement and the like can be automatically prompted and corrected in the building process.
Aiming at an intelligent rule base for auxiliary decision-making, for example, the minimum supply intensity is provided when a steel structure building disaster-bearing body is in fire; a warning range when hydrogen sulfide leaks; the dosage of the fire extinguishing agent when the storage tank is in fire; hazardous substances recommend/disable fire suppressant regulations, etc.
The beneficial effects of the above technical scheme are: the decision support needed by rescue of disaster-bearing bodies and different disaster-bearing bodies is convenient to comb and split, and each rule is subjected to multi-dimensional label matching, so that the calling efficiency in the subsequent analysis process is improved, and the building efficiency is indirectly improved.
The embodiment of the invention provides a method for building an intelligent electronic sand table,
the intelligent algorithm engine is used for reading a human-computer interaction operation instruction received by the control center and decoding the human-computer interaction operation instruction;
and according to the instruction decoding result, intelligently analyzing by matching the multi-dimensional label with the associated intelligent rule base, and outputting an intelligent feedback result to the control center.
In this embodiment, as shown in fig. 3, the specific working process of the intelligent algorithm engine is that the intelligent algorithm engine reads an instruction (instruction input of the control center is obtained), decodes the instruction (instruction analysis), collects data, and checks the data;
when the inspection is qualified, calculating data according to a matching algorithm (algorithms such as path planning, automatic path finding, mathematical model analysis, fire extinguishing agent calculation and the like), otherwise, ending the execution;
and judging whether a solution exists according to the calculation result, if so, packing the data, and finishing the execution, otherwise, directly finishing the execution.
The beneficial effects of the above technical scheme are: the intelligent rule base is matched and associated through the multi-dimensional label, so that the searching, the recognition, the analysis and the instruction execution are automatically carried out, the intelligent analysis is carried out, and the feedback result is obtained.
The embodiment of the invention provides a method for building an intelligent electronic sand table,
the control center is a digital operation platform.
The digital operation platform is used as an input port of an operation instruction, and an intelligent analysis result is output through an algorithm engine and is presented as an output port.
The invention provides a building system of an intelligent electronic sand table, as shown in fig. 4, comprising:
the control center is used for receiving a human-computer interaction operation instruction input by an operator;
the intelligent algorithm engine is used for reading the human-computer interaction operation instruction and decoding the read human-computer interaction operation instruction;
the intelligent rule base and the three-dimensional intelligent component base are associated and used for intelligently analyzing the human-computer interaction operation instruction after decoding processing;
the GIS map module is used for obtaining an intelligent feedback result according to an intelligent analysis result;
and the intelligent algorithm engine is also used for presenting the intelligent feedback result on the constructed target electronic sand table in a visual mode based on the control center for the operator to view.
The technical scheme mainly comprises an intelligent three-dimensional component library, a GIS map module, an intelligent rule library, an intelligent algorithm engine and a control center, on the basis of the intelligent three-dimensional component library, the GIS map module and the intelligent rule library, human-computer interaction operation instruction input is carried out through the control center, the intelligent algorithm engine reads an instruction, the instruction is decoded and automatically searched, identified, analyzed and executed by associating with the intelligent rule library to carry out intelligent analysis, intelligent and specialized result feedback is given, the result feedback is submitted to the control center and is displayed to an operator in a visual mode, and intelligentization and decision-making intelligentization are built.
The beneficial effects of the above technical scheme are: the intelligent auxiliary analysis tool is utilized to assist in the operation decision of disaster rescue, so that the efficiency of disaster rescue is improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A building method of an intelligent electronic sand table is characterized by comprising the following steps:
receiving a human-computer interaction operation instruction input by an operator based on a control center;
reading the human-computer interaction operation instruction based on an intelligent algorithm engine;
decoding the read human-computer interaction operation instruction, performing intelligent analysis by associating an intelligent rule base and a three-dimensional intelligent component base, and obtaining an intelligent feedback result based on a GIS map module;
and the intelligent algorithm engine is used for presenting the intelligent feedback result on the constructed target electronic sand table in a visual mode based on a control center for the operator to view.
2. The building method according to claim 1, wherein associating the intelligent rule base and the three-dimensional intelligent component base for intelligent analysis comprises:
importing basic data based on the control center;
carrying out intelligent preprocessing on the basic data, associating the intelligent rule base with the three-dimensional intelligent component base, and generating a three-dimensional model;
screening a first assembly based on the three-dimensional intelligent assembly library, and dragging the first assembly to the three-dimensional model for construction;
the method comprises the steps that in the process of building the three-dimensional model, the building specification of the first assembly is evaluated and prompted and guided in real time on the basis of the intelligent rule base;
and after the three-dimensional model is built, performing three-dimensional GIS display.
3. The construction method according to claim 1, wherein obtaining an intelligent feedback result based on the GIS map module comprises:
simulating and building a target disaster scene of the target electronic sand table based on a disaster component library and a GIS map module;
the intelligent algorithm engine intelligently analyzes the target disaster scene according to the component characteristics of disaster components in the disaster component library and the intelligent rule library, so that the resource scheduling decision in the target disaster scene is intelligentized;
in the process of simulating a target disaster scene, acquiring a combat deployment scheme for dealing with a target disaster, and feeding back a combat deployment position, a combat effective area and a combat decision related to the combat deployment scheme in real time, wherein the combat deployment position, the combat effective area and the type of the fire extinguishing agent are related to the combat deployment scheme;
comprehensively evaluating the combat deployment scheme according to the combat decision and outputting a modification suggestion;
the disaster component in the disaster component library is used for carrying out intelligent shape change according to the type of a disaster-bearing body in the target disaster scene and the disaster evolution rule;
the disaster component is further used for intelligently analyzing the evolution result of the target disaster scene after a preset time period in the future.
4. The building method according to claim 1,
the intelligent three-dimensional component library is used for carrying out component splitting on a bearing body, fire-fighting facilities and rescue resources contained in disaster rescue and establishing an intelligent attribute database for each split component;
the intelligent attribute database comprises a static intelligent attribute database and a dynamic intelligent attribute database;
the static intelligent attribute database is related to the type, size, position coordinates, quantity and performance of the components;
the dynamic intelligent attribute database is related to the dynamic parameters, the dynamic function special effects, the self function special effects and the self characteristic special effects of the components.
5. The building method according to claim 1,
the GIS map module is a building carrier of the target electronic sand table, is used for building disaster-bearing bodies based on a GIS map, and forms a data set by building a three-dimensional disaster-bearing body group and adding an intelligent three-dimensional assembly;
wherein, the bearing body comprises a building class and a petrochemical class;
the GIS map module is also used for intelligently dragging the assembly based on a GIS map and forming a fire-fighting facility area, a rescue resource area, a disaster site area and a combat deployment area;
and building a target disaster scene according to the composition result.
6. The building method according to claim 1,
the intelligent rule base is used for analyzing disaster-bearing bodies in disaster rescue and rescue decisions corresponding to different disaster-bearing bodies, and performing multi-dimensional label matching on each rescue rule in the disaster rescue according to an analysis result;
wherein the intelligent rule base comprises: building an intelligent rule base and an auxiliary decision intelligent rule base by a disaster carrier;
the disaster-bearing body construction intelligent rule base is digitally converted according to the construction specifications of various types of disaster-bearing bodies to form a first intelligent rule base;
the auxiliary decision intelligent rule base carries out digital conversion according to decision specifications in emergencies of various types of disaster-bearing bodies to form a second intelligent rule base;
and forming the intelligent rule base according to the formed first intelligent rule base and the second intelligent rule base.
7. The building method according to claim 1,
the intelligent algorithm engine is used for reading a human-computer interaction operation instruction received by the control center and decoding the human-computer interaction operation instruction;
and according to the instruction decoding result, intelligently analyzing by matching the multi-dimensional label with the associated intelligent rule base, and outputting an intelligent feedback result to the control center.
8. The building method according to claim 1,
the control center is a digital operation platform.
9. The utility model provides a system of setting up of intelligence electron sand table which characterized in that includes:
the control center is used for receiving a human-computer interaction operation instruction input by an operator;
the intelligent algorithm engine is used for reading the human-computer interaction operation instruction and decoding the read human-computer interaction operation instruction;
the intelligent rule base and the three-dimensional intelligent component base are associated and used for intelligently analyzing the human-computer interaction operation instruction after decoding processing;
the GIS map module is used for obtaining an intelligent feedback result according to an intelligent analysis result;
and the intelligent algorithm engine is also used for presenting the intelligent feedback result on the constructed target electronic sand table in a visual mode based on the control center for the operator to view.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115880985A (en) * | 2022-10-26 | 2023-03-31 | 福州大学 | Public safety simulation device and method based on augmented reality and terminal |
| CN115880985B (en) * | 2022-10-26 | 2024-06-04 | 福州大学 | Public safety simulation device, method and terminal based on augmented reality |
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2020
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115880985A (en) * | 2022-10-26 | 2023-03-31 | 福州大学 | Public safety simulation device and method based on augmented reality and terminal |
| CN115880985B (en) * | 2022-10-26 | 2024-06-04 | 福州大学 | Public safety simulation device, method and terminal based on augmented reality |
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