CN108692617A - A kind of special vehicle defence method and system - Google Patents
A kind of special vehicle defence method and system Download PDFInfo
- Publication number
- CN108692617A CN108692617A CN201810292581.9A CN201810292581A CN108692617A CN 108692617 A CN108692617 A CN 108692617A CN 201810292581 A CN201810292581 A CN 201810292581A CN 108692617 A CN108692617 A CN 108692617A
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- China
- Prior art keywords
- target
- operational environment
- threat
- attack
- special vehicle
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41H—ARMOUR; ARMOURED TURRETS; ARMOURED OR ARMED VEHICLES; MEANS OF ATTACK OR DEFENCE, e.g. CAMOUFLAGE, IN GENERAL
- F41H7/00—Armoured or armed vehicles
- F41H7/02—Land vehicles with enclosing armour, e.g. tanks
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41H—ARMOUR; ARMOURED TURRETS; ARMOURED OR ARMED VEHICLES; MEANS OF ATTACK OR DEFENCE, e.g. CAMOUFLAGE, IN GENERAL
- F41H11/00—Defence installations; Defence devices
Abstract
The invention discloses a kind of special vehicle defence method and systems, wherein the method includes:Acquire operational environment information;According to the operational environment information, the threat target in operational environment is identified;From threat target offensive attack described in trend.Technical scheme of the present invention improves speed and respond that identification threatens, improves safety and the automatization level of special vehicle instead of artificial view mode in such a way that automatic identification threatens target, convenient for implementing quickly and effectively to hit to enemy.
Description
Technical field
The present invention relates to special vehicle technical fields, and in particular to a kind of special vehicle defence method and system.
Background technology
War of cities and street fighting are the bad dreams of the special vehicles such as tank and panzer, the narrow street in city and street lane
And complicated landform, special vehicle can encounter the problem of visual field deficiency, in turn because of limitation that is thick and heavy armoring and seeing collimation device
So that itself assault ability is had a greatly reduced quality.Such as and, the main armament of special vehicle is difficult that accurate strike is hidden to inside building
Enemy, instead be easy assaulted by enemy.
Therefore, defence capability of the special vehicle in war of cities and street fighting how is promoted, skill urgently to be resolved hurrily at present is become
Art problem.
Invention content
The purpose of the present invention is to provide a kind of special vehicle defence method and systems, exist to solve existing special vehicle
The problem of defence capability deficiency in war of cities and street fighting.
To achieve the above object, the first aspect of the present invention proposes a kind of special vehicle defence method, the method packet
It includes:Acquire operational environment information;According to the operational environment information, the threat target in operational environment is identified;Described in trend
Threaten target offensive attack.
In the above-mentioned technical solutions, optionally, the step of acquisition operational environment information, including:By filming apparatus,
One or more acquisitions operational environment information in infrared inductor and radar detection apparatus.
In the above-mentioned technical solutions, optionally, according to the operational environment information, the threat target in operational environment is identified
The step of, including:The operational environment information is handled by way of deep learning, to identify in the operational environment
The threat target, wherein the threat target includes enemy personnel, the fighting equipment of anti-special vehicle and land mine.
In the above-mentioned technical solutions, optionally, it before the step of from target offensive attack is threatened described in trend, also wraps
It includes:According to the type of the threat target and/or at a distance from current special vehicle, the grade for threatening target is determined.
In the above-mentioned technical solutions, optionally, from described in trend threaten target offensive attack the step of, including:Judge institute
It states and threatens whether the grade of target is one in predetermined grade;When judging result is to be, target is threatened to send out from described in trend
Dynamic attack;When judging result is no, sends out and whether attack prompt, and in the case where receiving operation information, according to institute
Operation information is stated to the threat target offensive attack.
The second aspect of the present invention proposes a kind of special vehicle system of defense, including:Operational environment information acquisition unit,
Acquire operational environment information;Object-recognition unit is threatened, according to the operational environment information, identifies the threat mesh in operational environment
Mark;Automatic attack unit, from threat target offensive attack described in trend.
In the above-mentioned technical solutions, optionally, the operational environment information acquisition unit is used for:By filming apparatus, red
One or more acquisitions operational environment information in outer sensing device and radar detection apparatus.
In the above-mentioned technical solutions, optionally, the threat object-recognition unit is used for:By way of deep learning pair
The operational environment information is handled, to identify the threat target in the operational environment, wherein the threat target
Including enemy personnel, the fighting equipment of anti-special vehicle and land mine.
In the above-mentioned technical solutions, optionally, further include:Level de-termination unit, in the automatic attack unit from trend
Before the threat target offensive attack, according to the type of the threat target and/or at a distance from current special vehicle, determine
The grade for threatening target.
In the above-mentioned technical solutions, optionally, the automatic attack unit is used for:Judging the grade of the threat target is
No is one in predetermined grade;When judging result is to be, from threat target offensive attack described in trend;When judging result is
It when no, send out and whether attacks prompt, and in the case where receiving operation information, according to the operation information to the threat
Target offensive attack.
The invention has the advantages that:
By above technical scheme, special vehicle can acquire operational environment information multi-facetedly, and can be collected
Threat target is identified in operational environment information, and target is threatened to refer to special vehicle itself with aggressive and menace
Object, for example, enemy combatant, antitank missile etc., as a result, can attack the threat target of identification.Wherein, know
Not Wei Xie target can be according to the mode of deep learning, the working method for simulating human brain analyzes operational environment information, therefrom
Structure goes out to meet the threat target of predetermined threat standard, and predetermined threat standard can be scheduled operation mark, weapon shape, weapon
Direction, hiding position etc..
It is improved instead of artificial view mode in such a way that automatic identification threatens target by above technical scheme
It identifies the speed and respond threatened, improves safety and the automatization level of special vehicle, it is fast convenient for implementing to enemy
Fast effective strike.
Description of the drawings
Fig. 1 shows the flow chart of the special vehicle defence method of one embodiment of the present of invention.
Fig. 2 shows the flow charts of the special vehicle defence method of an alternative embodiment of the invention.
Fig. 3 shows the block diagram of the special vehicle system of defense of one embodiment of the present of invention.
Specific implementation mode
The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention..
Embodiment 1
Fig. 1 shows the flow chart of the special vehicle defence method of one embodiment of the present of invention.
As shown in Figure 1, the special vehicle defence method of one embodiment of the present of invention, including:
Step 102, operational environment information is acquired.
Step 104, according to the operational environment information, the threat target in operational environment is identified.
Step 106, from threat target offensive attack described in trend.
By above technical scheme, special vehicle can acquire operational environment information multi-facetedly, and can be collected
Threat target is identified in operational environment information, and target is threatened to refer to special vehicle itself with aggressive and menace
Object, for example, enemy combatant, antitank missile etc., as a result, can attack the threat target of identification.Wherein, know
Not Wei Xie target can be according to the mode of deep learning, the working method for simulating human brain analyzes operational environment information, therefrom
Structure goes out to meet the threat target of predetermined threat standard, and predetermined threat standard can be scheduled operation mark, weapon shape, weapon
Direction, hiding position etc..
It is improved instead of artificial view mode in such a way that automatic identification threatens target by above technical scheme
It identifies the speed and respond threatened, improves safety and the automatization level of special vehicle, it is fast convenient for implementing to enemy
Fast effective strike.
In the above-mentioned technical solutions, optionally, step 102 includes:It is visited by filming apparatus, infrared inductor and radar
Survey one or more acquisitions operational environment information in device.
Filming apparatus, infrared inductor and radar detection apparatus can 360 deg acquire special vehicle in all directions
The operational environment information of surrounding avoids causing due to acquiring information and omitting to promote the comprehensive of the operational environment information acquired
Special vehicle is missed the enemy attack at position.Wherein, filming apparatus can shoot the photo of operational environment, infrared inductor
Building distribution situation and combatant's distribution situation that infrared figure detects entire operational environment can be generated to entire operational environment,
And radar detection apparatus can also detect the building distribution situation and work of entire operational environment by way of emission detection wave
War personnel's distribution situation.
In the above-mentioned technical solutions, optionally, step 104 includes:To the operational environment by way of deep learning
Information is handled, to identify the threat target in the operational environment, wherein the threat target includes enemy people
Member, the fighting equipment of anti-special vehicle and land mine.
It is a kind of based on the method for carrying out representative learning to data in deep learning machine learning.Observation (such as a width figure
Picture) can use a plurality of ways to indicate, such as each pixel intensity value vector, or be more abstractively expressed as a series of sides,
The region etc. of specific shape.And use certain specific representation methods be easier from example learning tasks (for example, recognition of face
Or human facial expression recognition).The benefit of deep learning is the feature learning and layered characteristic extraction with non-supervisory formula or Semi-supervised
Highly effective algorithm obtains feature by hand to substitute.The motivation of deep learning is to establish, simulate the nerve that human brain carries out analytic learning
Network, it imitates the mechanism of human brain to explain data, such as image, sound and text.
Operational environment information is analyzed and handled by way of deep learning as a result, can effectively identify prestige
Clarification of objective is coerced, it is automatic to carry out to determine that the object with this feature is to threaten target according to the feature identified
Attack, protects the safety of special vehicle.
Embodiment 2
On the basis of embodiment 1, optionally, before step 106, further include:According to the type for threatening target
And/or at a distance from current special vehicle, the grade for threatening target is determined.
That is, can be to threatening target to be classified, for example, the enemy combatant that non-carrying arms can be arranged corresponds to
Grade be level-one, the corresponding grade of enemy combatant for carrying common gun weapon is two level, carries antitank/anti-plate armour
The corresponding grade of enemy combatant of weapon (such as antitank missile, RPG rocket launchers) is three-level, and land mine etc. hides weapon
Corresponding grade is three-level.Since the intrusion scene of special vehicle is higher, higher ranked threat target can be only attacked, or to not
The threat target of ad eundem uses the attack pattern of varying strength.
Embodiment 3
On the basis of embodiment 2, step 106 includes:Judge whether the grade of the threat target is in predetermined grade
One;When judging result is to be, from threat target offensive attack described in trend.For example, setting special vehicle is only attacked
Grade is the threat target of three-level, and predetermined grade is three-level, when the grade of the threat target recognized is three-level, special vehicle
Automatic offensive attack.
When judging result is no, sends out and whether attack prompt, and in the case where receiving operation information, according to institute
Operation information is stated to the threat target offensive attack.At this point, the grade of target is threatened to be less than three-level, it can be in the behaviour of special vehicle
Make whether interface prompt operator attacks, operator operates in operation interface, if operation information is to need to carry out
It attacks, then the automatic offensive attack of special vehicle.
The controllability for improving special vehicle fight as a result, convenient for firepower is focused on the target for being more badly in need of capturing.
Embodiment 4
Fig. 2 shows the flow charts of the special vehicle defence method of an alternative embodiment of the invention.
As shown in Fig. 2, the special vehicle defence method of an alternative embodiment of the invention, including:
Step 202, into high-risk environment, system of defense is automatically turned on.It, can be by artificial before carrying out operational environment scanning
Or the system of special vehicle automatically turns on system of defense, into defensive operation state.
Step 204,360 ° of scanning operational environments, obtain operational environment information.
The observation device with visible light/infrared/thunder detectivity with 360 ° of visual fields can be used, pass through with traditional
The limited field manually observed is compared, and ability and efficiency that identification threatens are greatly improved.Wherein, regarding with 360 ° of visual fields
Frequency sampling instrument, camera lens have zoom function, and energy wideangle scanning also can emphasis amplification.Wherein, pass through artificial intelligence and instruction
Practice model and continually scan for battlefield surroundings from the near to the distant, can recognize that the objects such as other side combatant, weapon, vehicle, land mine.
Step 206, according to operational environment information, identification threatens target.For example, the armed personnel of hand-held RPG rocket launchers, room
The sniper on top, antitank missile chief of breech of street corner etc..
Step 208, judge to threaten whether target is high-risk target, when judging result is to be, enter step 210, otherwise,
Return to step 204.The threat degree of object is quickly judged by artificial intelligence training pattern and supercomputing function, wherein
Bigger to the possibility injury of the special vehicles such as tank, corresponding threat degree is higher.
Step 210, start weapon system, attack the threat target automatically.Machine gun/howitzer weapon system is such as commanded automatically
Urgent high prestige target is aimed to open fire.
In short, (pre- can be trained by high-speed computer, neural network chip and intelligent algorithm and in advance
Trained) the model thousands of threats of processing per second, while high-risk threat is marked, to be attacked high-risk threat (as automatically
Open fire), it can promote the reaction speed of attack, actively eliminate and threaten, the effective protection personal safety of combatant.In addition, with
Traditional is compared by the limited field manually observed, and greatly improves ability and efficiency that identification threatens.Also, extremely
Under high-risk hostile environments, it can set and be connected to machine gun weapon system in the case of recognizing high-risk threat, be opened fire automatically,
It eliminates and threatens.In order to avoid manual decision is slow, and it is absent minded, it is careless and inadvertent, it is hit by antitank fire.
Embodiment 5
Fig. 3 shows the block diagram of the special vehicle system of defense of one embodiment of the present of invention.
As shown in figure 3, special vehicle system of defense 300 includes:Operational environment information acquisition unit 302 acquires operation ring
Border information;Object-recognition unit 304 is threatened, according to the operational environment information, identifies the threat target in operational environment;Automatically
Unit 306 is attacked, from threat target offensive attack described in trend.
In the above-mentioned technical solutions, optionally, the operational environment information acquisition unit 302 is used for:By filming apparatus,
One or more acquisitions operational environment information in infrared inductor and radar detection apparatus.
In the above-mentioned technical solutions, optionally, the threat object-recognition unit 304 is used for:Pass through the side of deep learning
Formula handles the operational environment information, to identify the threat target in the operational environment, wherein the threat
Target includes enemy personnel, the fighting equipment of anti-special vehicle and land mine.
In the above-mentioned technical solutions, optionally, further include:Level de-termination unit, it is automatic in the automatic attack unit 306
To before the threat target offensive attack, according to the type of the threat target and/or at a distance from current special vehicle, really
The fixed grade for threatening target.
In the above-mentioned technical solutions, optionally, the automatic attack unit 306 is used for:Judge it is described threaten target etc.
Whether grade is one in predetermined grade;When judging result is to be, from threat target offensive attack described in trend;When judgement is tied
It when fruit is no, sends out and whether attacks prompt, and in the case where receiving operation information, according to the operation information to described
Threaten target offensive attack.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention belong to the scope of protection of present invention.
Claims (10)
1. a kind of special vehicle defence method, which is characterized in that including:
Acquire operational environment information;
According to the operational environment information, the threat target in operational environment is identified;
From threat target offensive attack described in trend.
2. according to the method described in claim 1, it is characterized in that, the step of the acquisition operational environment information, including:
Pass through one or more acquisitions operational environment letter in filming apparatus, infrared inductor and radar detection apparatus
Breath.
3. according to the method described in claim 1, it is characterized in that, according to the operational environment information, identify in operational environment
Threat target the step of, including:
The operational environment information is handled by way of deep learning, to identify the prestige in the operational environment
Coerce target, wherein the threat target includes enemy personnel, the fighting equipment of anti-special vehicle and land mine.
4. according to the method described in claim 1, it is characterized in that, from described in trend threaten target offensive attack the step of it
Before, further include:
According to the type of the threat target and/or at a distance from current special vehicle, the grade for threatening target is determined.
5. according to the method described in claim 4, it is characterized in that, from the step of threatening target offensive attack described in trend, wrap
It includes:
Judge described to threaten whether the grade of target is one in predetermined grade;
When judging result is to be, from threat target offensive attack described in trend;
When judging result is no, sends out and whether attack prompt, and in the case where receiving operation information, according to the behaviour
Make information to the threat target offensive attack.
6. a kind of special vehicle system of defense, which is characterized in that including:
Operational environment information acquisition unit acquires operational environment information;
Object-recognition unit is threatened, according to the operational environment information, identifies the threat target in operational environment;
Automatic attack unit, from threat target offensive attack described in trend.
7. system according to claim 6, which is characterized in that the operational environment information acquisition unit is used for:
Pass through one or more acquisitions operational environment letter in filming apparatus, infrared inductor and radar detection apparatus
Breath.
8. system according to claim 6, which is characterized in that the threat object-recognition unit is used for:
The operational environment information is handled by way of deep learning, to identify the prestige in the operational environment
Coerce target, wherein the threat target includes enemy personnel, the fighting equipment of anti-special vehicle and land mine.
9. system according to claim 6, which is characterized in that further include:
Level de-termination unit, in the automatic attack unit from before threatening target offensive attack described in trend, according to the prestige
It coerces the type of target and/or at a distance from current special vehicle, determines the grade for threatening target.
10. system according to claim 9, which is characterized in that the automatic attack unit is used for:
Judge described to threaten whether the grade of target is one in predetermined grade;When judging result is to be, described in trend
Threaten target offensive attack;When judging result is no, sends out and whether attack prompt, and the case where receiving operation information
Under, according to the operation information to the threat target offensive attack.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810292581.9A CN108692617A (en) | 2018-03-30 | 2018-03-30 | A kind of special vehicle defence method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810292581.9A CN108692617A (en) | 2018-03-30 | 2018-03-30 | A kind of special vehicle defence method and system |
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| CN108692617A true CN108692617A (en) | 2018-10-23 |
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| CN201810292581.9A Pending CN108692617A (en) | 2018-03-30 | 2018-03-30 | A kind of special vehicle defence method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112506151A (en) * | 2020-11-30 | 2021-03-16 | 北京数码视讯技术有限公司 | Combat command method, device and system |
| CN113156440A (en) * | 2021-04-27 | 2021-07-23 | 浙江工业大学 | Defense method and system based on radar and image data fusion detection |
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Application publication date: 20181023 |