CN116702518B - Impact onshore action performance evaluation method, system, equipment and storage medium - Google Patents
Impact onshore action performance evaluation method, system, equipment and storage medium Download PDFInfo
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Abstract
The application relates to a method, a system, equipment and a storage medium for evaluating the performance of an assault land action, wherein the method comprises the steps of acquiring equipment types, marine environment data, meteorological data, land environment data and combat data; determining ocean effectiveness parameters according to equipment types, ocean environment data and combat data; determining weather influencing parameters according to weather data; determining land efficiency parameters according to equipment types, land environment data and combat data; determining tactical efficiency parameters according to equipment types and combat data; the performance results are determined based on the equipment type, marine performance parameters, weather-influencing parameters, land performance parameters, and tactical performance parameters. The application has the effect of improving the accuracy of performance evaluation on the assault land action.
Description
Technical Field
The present application relates to the field of simulation test evaluation, and in particular, to a method, a system, an apparatus, and a storage medium for performance evaluation of an assault land action.
Background
Assault onshore is a combat action that the main force of a landing army takes up an onshore target. The assault land-on stage starts from the arrival of the amphibious formation master force army at the appointed array position in the amphibious target area until the appointed task of the amphibious formation is completed. Assault is the most critical stage for determining success and failure of amphibious warfare, and is also the most complex stage for organization to implement amphibious warfare. Therefore, how to accurately evaluate the performance of the bump on the land in the simulation stage is a problem to be solved.
The current methods for analyzing the performance of the action on the impact land include availability-credibility-capability analysis (ADC-capability method), and analytic hierarchy process. The ADC analysis method has the defects of poor flexibility and more qualitative components in the analytic hierarchy process, so that the reliability of the result is lower. In addition, the current method for analyzing the action efficiency of the assault on the land is more in consideration of the technical performance and the combat efficiency of combat equipment, and the considered factors are single, so that the accuracy of the final analysis result is low.
Disclosure of Invention
In order to solve the problem of low accuracy in performance evaluation of the impact landing behavior, the application provides an impact landing behavior performance evaluation method, system, equipment and storage medium.
In a first aspect of the present application, a method for assault land action performance evaluation is provided. The method comprises the following steps:
acquiring equipment types, marine environment data, meteorological data, land environment data and combat data;
determining marine performance parameters according to the equipment type, the marine environment data and the combat data;
determining weather influencing parameters according to the weather data;
determining land performance parameters based on the equipment type, the land environment data, and the combat data;
Determining tactical efficiency parameters based on the equipment type and the combat data;
determining a performance outcome based on the equipment type, the marine performance parameter, the weather-influencing parameter, the land performance parameter, and the tactical performance parameter.
According to the technical scheme, for different equipment types, the impact onshore action efficiency is evaluated from different aspects by combining marine environment data, meteorological data, land environment data and combat data, and then the action efficiency result is calculated according to the evaluation results obtained from different aspects, namely, the marine efficiency parameter, the meteorological influence parameter, the land efficiency parameter and the tactical efficiency parameter. By considering the impact of the environment on the performance of the impact landing maneuver from multiple environmental levels, performance evaluation accuracy is improved.
In one possible implementation, the marine environmental data includes impact start points, tidal data, ocean current speeds, and underwater obstacle data, the combat data includes landing areas, and the marine performance parameters include water maneuver speeds, water maneuver times, and underwater obstacle areas;
said determining marine performance parameters based on said equipment type, said marine environment data and said combat data, comprising:
Determining a water maneuver speed for the equipment type based on the equipment type, the tidal data, and the ocean current speed;
determining a landing point based on the tidal data, the impact starting point, and the landing zone;
according to the water maneuvering speed, the impact starting point and the landing point, calculating the water maneuvering time from the impact starting point to the landing point;
determining an underwater obstacle region according to the equipment type and the underwater obstacle data; the impact starting point refers to an action starting point at sea; the underwater obstacle data refer to related data of underwater obstacles, and the underwater obstacle data comprise underwater vegetation chest diameters, underwater reef heights and underwater puddle depths.
According to the technical scheme, when the influence of the marine environment on the effectiveness of the impact on the land action is considered, the influence of the impact on the travelling speed of the water equipment is considered from the tidal data and the ocean current speed, and the water maneuvering speed is calculated; as the water maneuvering speed changes along with the change of the ocean environment, the water travelling time, namely the water maneuvering time, also changes; the device can also have an obstacle area influencing the running of the device under water, and the specific running route is adjusted through judging the obstacle area, so that the action efficiency of the assault landing action can be improved to a certain extent. By combining a plurality of marine environment data with the affected parameters in the assault landing behavior, the accuracy of the marine environment in evaluating the effectiveness of the assault landing behavior is improved.
In one possible implementation, the weather data includes visibility data, barometric pressure data, temperature data, humidity data, and precipitation data;
the determining weather influencing parameters according to the weather data comprises the following steps:
according to the equipment type, weather weights corresponding to the weather data are called;
and calculating weather influence parameters according to the visibility data, the air pressure data, the temperature data, the humidity data, the precipitation data and the weather weight.
According to the technical scheme, when the influence of meteorological data on the onshore performance of the assault is considered, the influence of the meteorological data on the onshore performance of the assault is considered from five aspects of visibility, air pressure, temperature, humidity and precipitation, meteorological influence parameters are calculated, and the accuracy rate of evaluation on the onshore performance of the assault is improved by combining a plurality of meteorological data with the onshore performance of the assault.
In one possible implementation, the land environment data includes a coastline extending through the landing zone, the land performance parameter including a beach shape;
said determining land performance parameters based on said equipment type, said land environment data, and said combat data, comprising:
Determining two intersection points of the coastline and the boundary of the landing area according to the coastline and the landing area;
dividing the login area into a first area and a second area according to the straight line where the two intersection points are located;
comparing the land area of the first area with the land area of the second area to determine the beach shape;
the first area refers to an area close to land in the login area, and the second area refers to an area close to sea in the login area.
According to the technical scheme, when the influence of the land environment on the onshore action performance of the assault is considered, the shoal shape is obtained by combining land area judgment of the first area and the second area in the landing area according to the different influence of the shoreline on the onshore action performance of the assault from the shoreline and the landing area, and the specific action strategy is adjusted through judgment of the shoal shape, so that the action efficiency of the onshore action of the assault can be improved to a certain extent, and the evaluation accuracy of the onshore action performance of the assault by the land environment is further improved.
In one possible implementation, the land environment data includes beach grade, and the land performance parameter includes landing risk;
Said determining land performance parameters based on said equipment type, said land environment data, and said combat data, comprising:
according to the equipment type, the maximum climbing gradient corresponding to the equipment type is called;
and comparing the maximum climbing gradient with the beach gradient, and determining a login risk, wherein the login risk comprises a damage risk and a stranding risk.
According to the technical scheme, when the influence of the land environment on the effectiveness of the onshore action of the assault is considered, the influence of the beach slope on the onshore action of the assault is also considered, the login risk is obtained by judging the maximum climbing slope and the beach slope corresponding to the equipment type, and the specific action plan is adjusted by analyzing the login risk, so that the action efficiency of the onshore action of the assault can be improved to a certain extent. By combining a plurality of land environment data with the impact on the assault land action, the accuracy of the land environment in evaluating the performance of the assault land action is improved.
In one possible implementation, the combat data includes land obstacle regions and actual landing points, and the tactical efficiency parameters include a combat area, a battlefield expansion condition, and a combat distance;
Said determining tactical efficiency parameters based upon the equipment type and the combat data comprising:
the land obstacle areas are multiple, the landing areas and the land obstacle areas are sequentially compared, and a target obstacle area is determined;
determining a battle area according to the target obstacle area and the login area;
determining a feasible passage in the login area according to a channel analysis model;
determining a battlefield expansion condition according to the distribution of the feasible paths in the login area;
and calculating the combat distance from the actual login point to the target obstacle area.
According to the technical scheme, when the influence of the combat situation on the effectiveness of the onshore action of the assault is considered, the influence of the combat situation on the onshore action part of the onshore action of the assault is considered from the land obstacle area and the actual landing point. Firstly, determining a target obstacle area from land obstacle areas, and determining a battle area according to the condition of the target obstacle area; then analyzing the feasible paths in the login area through a channel analysis model, and determining the influence of the feasible paths on the battlefield expansion condition; the combat distance is obtained by calculating the distance between the actual login point and the target obstacle region, and the specific action scheme is adjusted according to the limit of the combat distance, so that the action efficiency of the assault landing action can be improved to a certain extent. By combining a plurality of tactical data with the affected parameters of the assault landing maneuver, the accuracy of the tactical data in evaluating the performance of the assault landing maneuver is improved.
In one possible implementation, the action performance results include a battlefield environmental indicator, the marine performance parameter, the weather-influencing parameter, the land performance parameter, and the tactical performance parameter;
the determining a performance outcome based on the equipment type, the marine performance parameter, the weather-influencing parameter, the land performance parameter, and the tactical performance parameter, comprising:
according to the equipment type, parameter weights corresponding to the ocean effectiveness parameter, the meteorological influence parameter, the land effectiveness parameter and the tactical effectiveness parameter are called;
and carrying out weighted summation according to the ocean effectiveness parameter, the meteorological influence parameter, the land effectiveness parameter, the tactical effectiveness parameter and the parameter weight to obtain a battlefield environmental index.
According to the technical scheme, the influence of the environment on the performance of the assault land action is considered from a plurality of environment layers, so that the accuracy of performance evaluation is improved.
In a second aspect of the present application, an impact landing performance evaluation system is provided. The system comprises:
the data acquisition module is used for acquiring equipment types, marine environment data, meteorological data, land environment data and combat data;
The ocean effectiveness calculation module is used for determining ocean effectiveness parameters according to the equipment type, the ocean environment data and the combat data;
the weather influence calculation module is used for determining weather influence parameters according to the weather data;
the land effectiveness calculation module is used for determining land effectiveness parameters according to the equipment type, the land environment data and the combat data;
a tactical efficiency calculation module for determining tactical efficiency parameters based on the equipment type and the combat data;
and the action result calculation module is used for determining action efficiency results according to the equipment type, the ocean efficiency parameters, the weather influence parameters, the land efficiency parameters and the tactical efficiency parameters.
In a third aspect of the application, an electronic device is provided. The electronic device includes: a memory and a processor, the memory having stored thereon a computer program, the processor implementing the method as described above when executing the program.
In a fourth aspect of the application, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method as according to the first aspect of the application.
In summary, the present application includes at least one of the following beneficial technical effects:
for different equipment types, the impact onshore action efficiency is evaluated from different aspects by combining marine environment data, meteorological data, land environment data and combat data, action efficiency results are calculated according to the evaluation results obtained from different aspects, and the effect of the environment on the impact onshore action efficiency is considered from a plurality of environment layers, so that the efficiency evaluation accuracy is improved;
when the influence of the marine environment on the effectiveness of the assault land action is considered, the influence of the tidal data and the ocean current speed on the travelling speed of the water equipment is considered, the water maneuvering speed is calculated, the water maneuvering time is adjusted according to the change of the water maneuvering speed, the specific travelling route is adjusted through judging the underwater obstacle area, the action efficiency of the assault land action can be improved to a certain extent, and the evaluation accuracy of the marine environment on the effectiveness of the assault land action is improved through combining a plurality of marine environment data with the affected parameters in the assault land action;
when the influence of the land environment on the performance of the sudden impact on the land is considered, the shoal shape is obtained by combining land area judgment of the first area and the second area in the login area from the coastline and the login area, and the specific action strategy is adjusted by judging the shoal shape, so that the action efficiency of the sudden impact on the land can be improved to a certain extent, and the evaluation accuracy of the land environment on the performance of the sudden impact on the land is further improved.
Drawings
FIG. 1 is a flow chart of a method for performance evaluation of an assault land mobile device according to the present application.
FIG. 2 is a schematic diagram of a system for performance evaluation of an impact on land mobile device according to the present application.
Fig. 3 is a schematic structural diagram of an electronic device provided by the present application.
In the figure, 200, an assault land action performance evaluation system; 201. a data acquisition module; 202. a marine performance calculation module; 203. a weather influence calculation module; 204. a land efficiency calculation module; 205. a tactical efficacy calculation module; 206. a action result calculation module; 301. a CPU; 302. a ROM; 303. a RAM; 304. an I/O interface; 305. an input section; 306. an output section; 307. a storage section; 308. a communication section; 309. a driver; 310. removable media.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the application are described in further detail below with reference to the drawings.
Currently, performance analysis on assaults is mainly focused on the ability analysis of participating mobile devices and personnel, and analysis on the environment is generally reflected on the ability analysis of equipment. The related analysis method can consider the applicability of the application environment adaptation degree of the equipment to the fight of the weapon equipment, on one hand, the analysis method mainly adopts a qualitative analysis method, has strong subjectivity, and is difficult to reflect the inherent relevance of the application environment adaptation degree of the equipment and the fight applicability of the weapon equipment; on the other hand, the analysis method is based on analysis of the combat equipment, and takes the environment of the combat equipment into consideration, and does not correlate the combat environment with the action effectiveness of the assault on the land. Therefore, the application can evaluate the action efficiency of the assault continental through correlating the action efficiency of the assault continental with the action efficiency of the assault continental by combining the action environment, thereby improving the accuracy of the action efficiency evaluation result of the assault continental.
The embodiment of the application provides a method for evaluating the performance of an assault land action, and the main flow of the method is described as follows.
As shown in fig. 1:
step S1: equipment type, marine environment data, meteorological data, land environment data, and combat data are acquired.
Specifically, the above equipment types refer to equipment types used in assault land actions, and include landing boats, amphibious armored vehicles, and gasketing boats.
Marine environmental data refers to data related to marine environments in assault land actions. The marine environment data includes impact start points, tidal data, ocean current velocity, and underwater obstacle data. The tidal data refers to tidal flow rates of the ocean, including the flow rates of the rising tide and the falling tide. The ocean current velocity refers to the distance that ocean current flows per unit time, and the unit of ocean current velocity is typically cm/s. The impact starting point refers to a starting point of an action of the impact on the land on the sea; the underwater obstacle data refer to related data of underwater obstacles, and the underwater obstacle data comprise underwater vegetation chest diameters, underwater reef heights, underwater puddle depths and the like.
The weather data refer to relevant data on the marine environment where the impact on the land acts, including visibility data, barometric pressure data, temperature data, humidity data and precipitation data. I.e. the visibility, air pressure, temperature, humidity and precipitation of the marine environment in the action time of the assault on the land. The weather data may be weather data measured on the day of the impact on the land or may be a prediction of weather conditions at the time of the impact on the land before the impact on the land.
The combat data includes a landing area, a land obstacle area, and an actual landing point, and the landing area is an area including the sea and the land defined according to an actual action, and the area is shaped as a convex polygon such as a rectangle. The land obstacle area includes an obstacle area which cannot pass through due to a topography and an area occupied by an enemy, and the land obstacle area is defined as one or more land obstacle areas according to a combat situation. The actual landing point is the actual landing position from the sea to the land.
The land environment data includes a coastline and a beach slope, the coastline being a boundary between the sea and the land where the onshore action is assault and the coastline penetrating through the landing area. The beach slope refers to the average slope of the beach in the landing area or the maximum slope of the beach in the landing area or the beach slope of the landing point. The concrete value of the beach gradient can be determined according to actual action requirements.
Step S2: marine performance parameters are determined based on the equipment type, marine environmental data, and operational data.
In particular, the marine performance parameters include water maneuver speed, which refers to the speed of travel of the equipment in use over the ocean, water maneuver time, and underwater obstacle regions. The above-mentioned water maneuvering time refers to the time taken from the impact start point to the actual landing point. The above-mentioned underwater obstacle region indicates whether or not there is an obstacle region in the ocean that affects traveling in the ocean.
The water maneuver speed of the equipment type is determined based on the equipment type, tidal data, and ocean current speed. It will be appreciated that when the apparatus is travelling in the ocean, the rising or falling tide will have a certain effect on the travelling speed of the apparatus, the rising tide will accelerate the travelling speed of the apparatus, the falling tide will slow down the travelling speed of the apparatus, and the ocean current speed will have a certain effect on the travelling speed of the apparatus. The actual travel speed of the plant and the tidal and ocean current conditions are combined in determining the water manoeuvring speed. Therefore, the water manoeuvring speed= (the equipment manoeuvring speed ± tidal flow rate) ×ocean current coefficient. Different ocean current speeds correspond to different ocean current coefficients, corresponding relations between the ocean current speeds and the ocean current coefficients are prestored in a database, and when calculation is carried out, the corresponding ocean current coefficients are called according to the ocean current speeds. When sea water rises, the water maneuvering speed= (equipment maneuvering speed + rising tide flow speed) ×ocean current coefficient; when sea water falls, the water maneuvering speed= (equipment maneuvering speed-falling tide flow speed) ×ocean current coefficient.
Determining landing points according to the tide data, the impact starting point and the landing area. When planning an action, the impact starting point and the expected landing point in the landing area are defined, but the expected landing point also changes due to the tidal change of the ocean. First, the gradient of the expected landing point is obtained, gradient=vertical height/horizontal width of beach=ocean depth/horizontal width of sea water coverage beach=ocean depth variation/horizontal width variation of sea water coverage beach. The tidal data also includes the rising or falling speed of the sea water, which rises at the time of rising tide and falls at the time of falling tide. According to the time difference between the estimated landing point and the calculated landing point and the speed of the rising tide or the falling tide, the ocean depth change can be calculated, and according to the ocean depth change and the gradient, the horizontal width change of the seawater coverage beach, namely the distance change between the estimated landing point and the landing point, can be obtained. For example, when tide is rising, the rising speed may be obtained, ocean depth change = time to determine the predicted landing point and time to calculate the landing point difference. The expected landing point-to-landing point distance change = horizontal width change of seawater coverage beach = ocean depth change/grade. The landing point is the position of the predicted landing point in the center direction of the land (ocean depth change/grade).
And calculating the water maneuvering time from the impact starting point to the landing point according to the water maneuvering speed, the impact starting point and the landing point. After knowing the location of the impact start point and the landing point, the distance from the impact start point to the landing point, i.e. the water distance, can be calculated, water maneuver time = water distance/water maneuver speed.
And determining the underwater obstacle region according to the equipment type and the underwater obstacle data. The ability to pass underwater obstructions varies due to the type of equipment. For a hovercraft, the hovercraft is a high-speed craft that relies on air above atmospheric pressure to form an air cushion between the hull and a supporting surface (water or ground) to cause the hull to sail entirely or partially off the supporting surface. The working mode leads the air cushion ship not to be influenced by underwater obstacle, so that when the equipment type is the air cushion ship, the underwater obstacle data do not need to be judged, and the underwater obstacle area does not need to be determined. When the equipment is of a landing boat or an amphibious armored car, a part of the equipment is positioned under the water surface, and when an obstacle exists under the water, the running of the equipment is influenced, so that the underwater obstacle data are judged.
When the equipment types are different, corresponding obstacle thresholds are called from the database, wherein the obstacle thresholds comprise vegetation chest diameter thresholds, reef height thresholds and puddle depth thresholds. Judging the underwater obstacle data of each underwater area, wherein when the chest diameter of the underwater vegetation is larger than or equal to the threshold value of the chest diameter of the vegetation, the corresponding underwater area is an underwater obstacle area; when the underwater reef height is greater than or equal to the reef height threshold value, the corresponding underwater area is an underwater obstacle area; when the depth of the underwater puddle is greater than or equal to the threshold value of the depth of the puddle, the corresponding area is an underwater obstacle area. That is, when any one underwater obstacle data is greater than or equal to the corresponding obstacle threshold, the corresponding area is the underwater obstacle area.
Step S3: and determining weather influencing parameters according to the weather data.
Specifically, weather weights corresponding to weather data, namely visibility weights corresponding to the visibility data, air pressure weights corresponding to the air pressure data, temperature weights corresponding to the temperature data, humidity weights corresponding to the humidity data and precipitation weights corresponding to the precipitation data are obtained. According to the visibility data, the air pressure data, the temperature data, the humidity data, the precipitation data and the weather weight, weather influencing parameters are obtained through calculation, namely, weather influencing parameters=visibility weight, air pressure data, air pressure weight, temperature data, temperature weight, humidity data, humidity weight and precipitation weight. The weather weights are manually set according to actual demands, and the set weather weights are stored in a database and are called from the database when in use.
Step S4: land performance parameters are determined based on equipment type, land environmental data, and operational data.
Specifically, the land performance parameters include beach shape and landing risk.
S41: and determining the shape of the beach.
Specifically, two intersection points of the boundary of the coastline and the landing area are determined according to the coastline and the landing area. Because the landing area is a convex polygon and the coastline penetrates through the landing area, two intersection points exist at the boundary of the coastline and the landing area. Dividing the login area into a first area and a second area according to the straight line where the two intersection points are located. The first area refers to an area near the land in the landing area, and may also be described as an area boundary (except for a coastline portion) of the first area bordering the land, and the second area refers to an area near the sea in the landing area, that is, the landing area is a second area except the first area. The land area of the first area is compared with the land area of the second area to determine the beach shape. The land area calculation method is an area calculation method of an irregular pattern, and the area calculation of the irregular pattern is known to those skilled in the art, and will not be described herein.
Comparing the land area of the first area with the land area of the second area, and when the land area of the first area is smaller than the land area of the second area, the coastline is convex; when the land area of the first area is smaller than or equal to that of the second area and the land area of the second area is not 0, the coastline shape is linear; when the land area of the second area is 0, the shoreline shape is concave.
S42: and determining the login risk.
Specifically, according to the equipment type, the maximum climbing gradient corresponding to the equipment type is called; and comparing the maximum climbing gradient with the beach gradient, and determining the login risk, wherein the login risk comprises a damage risk and a stranding risk. When the maximum climbing gradient is smaller than the beach gradient, the login risk is a damage risk; when the maximum climbing gradient is slightly smaller than the beach gradient, the landing risk is the stranded risk. The range of the maximum climbing gradient slightly smaller than the beach gradient is set according to the actual equipment condition. For example, the maximum hill climbing gradient corresponds to an angle of 5 °, and the stranded risk ranges from greater than eighty percent of the maximum hill climbing gradient to less than the maximum hill climbing gradient, i.e., the landing risk is stranded risk when the beach gradient is between 4 ° and 5 °. When the beach gradient is 6 degrees, namely the beach gradient is larger than the maximum climbing gradient, the login risk is a damage risk; when the slope of the beach is less than 4 degrees, no login risk exists.
Step S5: tactical performance parameters are determined based on the equipment type and the operational data.
Specifically, tactical performance parameters include available area, battlefield expansion, and battlefield distance.
S51: and determining the area available for combat.
The land obstacle area is one or more, the landing area and the land obstacle area are sequentially compared, and the target obstacle area is determined.
And sequentially projecting the land obstacle region along the vertical line direction of the straight line where the two intersection points are located, recording the length of the projection on the straight line, comparing the projection length with the distance between the two intersection points, calculating a distance ratio, wherein the distance ratio=the projection length/the distance between the two intersection points, and when the distance ratio is larger than a ratio preset value, the land obstacle region corresponding to the projection length is the target obstacle region. For example, the ratio preset is 70%.
And determining the battle area according to the target obstacle area and the login area.
When the target obstacle area does not exist, the available combat area is the difference between the total land area of the land where the assault land action is located and the area of the land obstacle area.
When one or more target obstacle areas exist, the distance between the actual login point and each target obstacle area is calculated, and the target obstacle area with the shortest distance is selected, wherein the available area is the area between the straight line of the two intersection points and the target obstacle area with the shortest distance and is the available area.
In one embodiment, the action staff sets an ideal combat area according to the actual combat plan, determines whether the combat area meets the ideal combat area after the combat area is determined, calculates the area ratio of the combat area to the ideal combat area, and indicates that the combat area is larger than the ideal combat area when the area ratio is larger than 1, namely, meets combat requirements. When the above area ratio is smaller than 1 and larger than the area setting, it means that the available area is smaller than the ideal combat area, but the basic combat requirements can still be satisfied. When the above area ratio is smaller than the area set value, it means that the available area is smaller than the ideal combat area and the combat demand cannot be satisfied. The area setting value needs to be set by an operator according to the actual behavior.
S52: and determining the battlefield expansion condition.
Specifically, a feasible path in the login area is determined according to the channel analysis model. And determining the battlefield expansion condition according to the distribution of the feasible paths in the landing area. The channel analysis model is used for calculating a feasible passageway taking an actual landing point as a starting point and taking any point on a boundary with land in the landing area as an end point, judging the number of the feasible passageways, and when the number of the feasible passageways is large, indicating that the battlefield expansion condition is favorable for battlefield expansion, and when the number of the feasible passageways is small, indicating that the battlefield expansion condition is unfavorable for battlefield expansion. The above-described judgment of the number of viable lanes sets a traffic preset value as needed. When the number of the feasible routes is larger than the preset traffic value, the number of the feasible routes is larger, and conversely, when the number of the feasible routes is smaller than or equal to the preset traffic value, the number of the feasible routes is smaller.
The working process of the channel analysis model is as follows: and acquiring a login area, and carrying out rasterization treatment on the login area. And defining an unperforatable position according to geographic environment factors, and carrying out path planning based on a heuristic A star search algorithm to obtain one or more feasible paths. The passing speeds of different feasible paths are calculated according to geographic environment factors and a hierarchical analysis method. The techniques for obtaining a viable pathway through a pathway analysis model are well known to those skilled in the art and will not be described in detail herein.
S53: and determining the combat distance.
And calculating the combat distance from the actual login point to the target obstacle area.
When the target obstacle region exists, the combat distance is the distance from the actual landing point to the target obstacle region with the shortest distance, namely the shortest distance from the actual landing point to the boundary of the target obstacle region closest to the actual landing point.
When the target obstacle region does not exist, the combat distance is the shortest distance from the actual landing point to the land obstacle region, namely the shortest distance from the actual landing point to the boundary of the land obstacle region closest to the actual landing point.
The calculation manner of the distance is a point-to-line distance calculation formula, which is known to those skilled in the art and will not be described herein.
Step S6: the performance results are determined based on the equipment type, marine performance parameters, weather-influencing parameters, land performance parameters, and tactical performance parameters.
Specifically, the action performance result includes a battlefield environmental index. According to the equipment types, parameter weights corresponding to ocean efficiency parameters, meteorological influence parameters, land efficiency parameters and tactical efficiency parameters are called; and carrying out weighted summation according to the ocean effectiveness parameter, the meteorological influence parameter, the land effectiveness parameter, the tactical effectiveness parameter and the parameter weight to obtain the battlefield environmental index. The parameter weights include ocean parameter weights corresponding to ocean effectiveness parameters, weather parameter weights corresponding to weather-influencing parameters, land parameter weights corresponding to land effectiveness parameters, and tactical parameter weights corresponding to tactical effectiveness parameters.
The land performance parameters also include a beach substrate, which refers to a constituent material of a beach, and can be classified into bedrock coast and beach, silt coast and tidal beach, sandy beach, bedrock beach, sandy beach, etc., according to the constituent material. Different beach substrates correspond to different beach substrate fractions. Similarly, different beach shapes correspond to different beach shape scores. The beach shape includes an outer convex shape, a straight line shape, and an inner concave shape. Wherein, the convex shape is favorable for the assault upper land, the concave shape is unfavorable for the assault upper land, and the influence of the straight line shape on the assault upper land is between the convex shape and the concave shape. Different beach slopes also correspond to different beach slope fractions.
The marine performance parameters also include sea state. Under the action of wind force, sea conditions are classified into 10 grades according to sea conditions, wave crest shapes, the breaking degrees of wave crests, the occurrence of wave foam and the like in the visual field. Sea state grades are different corresponding to different sea state scores. Similarly, tidal fractions and ocean current fractions corresponding to different tidal data and ocean current velocities are also different.
Tactical performance parameters also include a log-on land length duty cycle and a log-on land amplitude duty cycle. The land area length ratio refers to the ratio of the distance between the two intersections to the total land length. The total land length refers to the length of the land where the impact land action is projected on the straight line along the perpendicular direction of the straight line where the two intersection points are located. The landing area width ratio refers to the ratio of the land area in the landing area to the total area of land where the landing event is located. The length duty ratio of different login sections and the length duty ratio fraction and the width duty ratio fraction of the login field are different.
The different parameters and the scores or weights corresponding to the parameters are set according to actual conditions and stored in a database, and the parameters are called from the database when the parameters are needed to be used. Since different parameters affect the onshore action of the assault differently when the equipment types are different, the corresponding scores and/or weights are also different when the equipment types are different.
Battlefield environmental index = ocean performance parameter + weather influencing parameter + weather parameter + land performance parameter + tactical parameter weight = (sea condition fraction + tide fraction + ocean current fraction) ocean parameter weight + weather influencing parameter + weather parameter weight + (beach matrix fraction + beach shape fraction + beach gradient fraction) land parameter weight + (length fraction + width fraction) tactical parameter weight.
For example, the battlefield environmental index indicates that the battlefield environmental condition is good when the battlefield environmental index is in the (0.8,1) interval, the battlefield environmental index indicates that the battlefield environmental condition is good when the battlefield environmental index is in the (0.6,0.8) interval, the battlefield environmental index indicates that the battlefield environmental condition is poor when the battlefield environmental index is in the (0.4,0.6) interval, and the battlefield environmental index indicates that the battlefield environmental condition is poor when the battlefield environmental index is in the (0,0.4) interval.
In one embodiment, the performance results include battlefield environmental indicators, water maneuver speed, water maneuver time, underwater obstacle regions, weather-influencing parameters, beach shape, landing risk, battle area, battlefield expansion, and battlefield distance.
In another embodiment, the performance results include battlefield environmental indicators and tactical feasible indicators, which are obtained by scoring each of the water maneuver speed, the water maneuver time, the underwater obstacle area, the weather-influencing parameters, the beach shape, the landing risk, the battle area, the battlefield expansion, and the battlefield distance, and summing all of the scores. The corresponding relation between each parameter and the score can be stored in a database in advance, and the score can be calculated. Different tactical feasibility indexes correspond to different feasibility. For example, when the tactical feasible index is within the (0.8,1) interval, the tactical feasibility is indicated to be good, when the tactical feasible index is within the (0.6,0.8) interval, the tactical feasibility is indicated to be good, when the tactical feasible index is within the (0.4,0.6) interval, the tactical feasibility is indicated to be poor, and when the tactical feasible index is within the (0,0.4) interval, the tactical feasibility is indicated to be poor.
Referring to fig. 2, an embodiment of an impact upland performance evaluation system 200 according to the present application includes:
A data acquisition module 201 for acquiring equipment type, marine environment data, meteorological data, land environment data, and combat data;
a marine performance calculation module 202 for determining marine performance parameters based on the equipment type, the marine environmental data, and the combat data;
the weather-influence calculating module 203 is configured to determine weather-influence parameters according to the weather data;
a land performance calculation module 204 for determining land performance parameters based on the equipment type, the land environment data, and the combat data;
a tactical efficiency calculation module 205 for determining tactical efficiency parameters based on the equipment type and the combat data;
an action result calculation module 206 for determining an action performance result based on the equipment type, the marine performance parameter, the weather-influencing parameter, the land performance parameter, and the tactical performance parameter.
It will be clear to those skilled in the art that, for convenience and brevity of description, reference may be made to the corresponding process in the foregoing method embodiment for the specific working process of the described module, which is not described herein again.
The embodiment of the application discloses electronic equipment. Referring to fig. 3, the electronic apparatus includes a central processing unit (Central Processing Unit, CPU) 301 that can perform various appropriate actions and processes according to a program stored in a Read-Only Memory (ROM) 302 or a program loaded from a storage section 307 into a random access Memory (Random Access Memory, RAM) 303. In the RAM 303, various programs and data required for the system operation are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other by a bus. An Input/Output (I/O) interface 304 is also connected to the bus.
The following components are connected to the I/O interface 304: an input section 305 including a keyboard, a mouse, and the like; an output section 306 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, and a speaker, and the like; a storage portion 307 including a hard disk and the like; and a communication section 308 including a network interface card such as a local area network (Local Area Network, LAN) card, a modem, or the like. The communication section 308 performs communication processing via a network such as the internet. A driver 309 is also connected to the I/O interface 304 as needed. A removable medium 310 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 309 as needed, so that a computer program read out therefrom is installed into the storage section 307 as needed.
In particular, the process described above with reference to flowchart fig. 1 may be implemented as a computer software program according to an embodiment of the application. For example, embodiments of the application include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such embodiments, the computer program may be downloaded and installed from a network via the communication portion 308, and/or installed from the removable media 310. The above-described functions defined in the apparatus of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 301.
The computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, radio Frequency (RF), and the like, or any suitable combination of the foregoing.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the application is not limited to the specific combinations of the features described above, but also covers other embodiments which may be formed by any combination of the features described above or their equivalents without departing from the spirit of the application. Such as the above-mentioned features and the technical features having similar functions (but not limited to) applied for in the present application are replaced with each other.
Claims (7)
1. A method for assault land action performance evaluation, comprising:
acquiring equipment types, marine environment data, meteorological data, land environment data and combat data;
determining marine performance parameters according to the equipment type, the marine environment data and the combat data; the marine environment data comprise an impact starting point, tidal data, ocean current speed and underwater obstacle data, the combat data comprise landing areas, and the marine efficiency parameters comprise water maneuvering speed, water maneuvering time and underwater obstacle areas;
said determining marine performance parameters based on said equipment type, said marine environment data and said combat data, comprising:
Determining a water maneuver speed for the equipment type based on the equipment type, the tidal data, and the ocean current speed;
determining a landing point based on the tidal data, the impact starting point, and the landing zone;
according to the water maneuvering speed, the impact starting point and the landing point, calculating the water maneuvering time from the impact starting point to the landing point;
determining an underwater obstacle region according to the equipment type and the underwater obstacle data;
determining weather influencing parameters according to the weather data; the meteorological data comprise visibility data, air pressure data, temperature data, humidity data and precipitation data;
the determining weather influencing parameters according to the weather data comprises the following steps:
according to the equipment type, weather weights corresponding to the weather data are called;
calculating weather influence parameters according to the visibility data, the air pressure data, the temperature data, the humidity data, the precipitation data and the weather weights;
determining land performance parameters based on the equipment type, the land environment data, and the combat data; the land environment data comprise coastlines and beach slopes, the coastlines penetrate through the landing areas, and the land efficiency parameters comprise beach shapes and landing risks;
Determining tactical efficiency parameters based on the equipment type and the combat data; the combat data comprises land obstacle areas and actual landing points, and the tactical efficiency parameters comprise combat areas, battlefield expansion conditions and combat distances;
said determining tactical efficiency parameters based upon the equipment type and the combat data comprising:
the land obstacle areas are multiple, the landing areas and the land obstacle areas are sequentially compared, and a target obstacle area is determined;
determining a battle area according to the target obstacle area and the login area;
determining a feasible passage in the login area according to a channel analysis model;
determining a battlefield expansion condition according to the distribution of the feasible paths in the login area;
calculating the combat distance from the actual login point to the target obstacle area;
determining a performance outcome based on the equipment type, the marine performance parameter, the weather-influencing parameter, the land performance parameter, and the tactical performance parameter.
2. The method for performance evaluation of an assault land action according to claim 1, wherein,
said determining land performance parameters based on said equipment type, said land environment data, and said combat data, comprising:
Determining two intersection points of the coastline and the boundary of the landing area according to the coastline and the landing area;
dividing the login area into a first area and a second area according to the straight line where the two intersection points are located;
and comparing the land area of the first area with the land area of the second area to determine the beach shape.
3. The method for performance evaluation of an assault land action according to claim 1, wherein,
said determining land performance parameters based on said equipment type, said land environment data, and said combat data, comprising:
according to the equipment type, the maximum climbing gradient corresponding to the equipment type is called;
and comparing the maximum climbing gradient with the beach gradient, and determining a login risk, wherein the login risk comprises a damage risk and a stranding risk.
4. The method of claim 1, wherein the performance results include a battlefield environmental indicator, the marine performance parameter, the weather-influencing parameter, the land performance parameter, and the tactical performance parameter;
the determining a performance outcome based on the equipment type, the marine performance parameter, the weather-influencing parameter, the land performance parameter, and the tactical performance parameter, comprising:
According to the equipment type, parameter weights corresponding to the ocean effectiveness parameter, the meteorological influence parameter, the land effectiveness parameter and the tactical effectiveness parameter are called;
and carrying out weighted summation according to the ocean effectiveness parameter, the meteorological influence parameter, the land effectiveness parameter, the tactical effectiveness parameter and the parameter weight to obtain a battlefield environmental index.
5. An impact onshore performance evaluation system comprising:
the data acquisition module is used for acquiring equipment types, marine environment data, meteorological data, land environment data and combat data;
the ocean effectiveness calculation module is used for determining ocean effectiveness parameters according to the equipment type, the ocean environment data and the combat data; the marine environment data comprise an impact starting point, tidal data, ocean current speed and underwater obstacle data, the combat data comprise landing areas, and the marine efficiency parameters comprise water maneuvering speed, water maneuvering time and underwater obstacle areas; said determining marine performance parameters based on said equipment type, said marine environment data and said combat data, comprising: determining a water maneuver speed for the equipment type based on the equipment type, the tidal data, and the ocean current speed; determining a landing point based on the tidal data, the impact starting point, and the landing zone; according to the water maneuvering speed, the impact starting point and the landing point, calculating the water maneuvering time from the impact starting point to the landing point; determining an underwater obstacle region according to the equipment type and the underwater obstacle data;
The weather influence calculation module is used for determining weather influence parameters according to the weather data; the meteorological data comprise visibility data, air pressure data, temperature data, humidity data and precipitation data; the determining weather influencing parameters according to the weather data comprises the following steps: according to the equipment type, weather weights corresponding to the weather data are called; calculating weather influence parameters according to the visibility data, the air pressure data, the temperature data, the humidity data, the precipitation data and the weather weights;
the land effectiveness calculation module is used for determining land effectiveness parameters according to the equipment type, the land environment data and the combat data; the land environment data comprise coastlines and beach slopes, the coastlines penetrate through the landing areas, and the land efficiency parameters comprise beach shapes and landing risks;
a tactical efficiency calculation module for determining tactical efficiency parameters based on the equipment type and the combat data; the combat data comprises land obstacle areas and actual landing points, and the tactical efficiency parameters comprise combat areas, battlefield expansion conditions and combat distances; said determining tactical efficiency parameters based upon the equipment type and the combat data comprising: the land obstacle areas are multiple, the landing areas and the land obstacle areas are sequentially compared, and a target obstacle area is determined; determining a battle area according to the target obstacle area and the login area; determining a feasible passage in the login area according to a channel analysis model; determining a battlefield expansion condition according to the distribution of the feasible paths in the login area; calculating the combat distance from the actual login point to the target obstacle area;
And the action result calculation module is used for determining action efficiency results according to the equipment type, the ocean efficiency parameters, the weather influence parameters, the land efficiency parameters and the tactical efficiency parameters.
6. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the method according to any of claims 1 to 4.
7. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any of claims 1 to 4.
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