Method for comprehensive evaluation of cooperative anti-submarine efficiency of manned and unmanned helicopters
By constructing a collaborative anti-submarine warfare process model and effectiveness evaluation index system for shipborne manned/unmanned helicopters, the problem of insufficient targeting in the effectiveness evaluation of collaborative anti-submarine warfare in existing technologies has been solved, and quantitative evaluation of collaborative anti-submarine warfare effectiveness and equipment optimization support have been realized.
Patent Information
- Application Number
- CN202211440071.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-11-17
- Publication Date
- 2025-12-19
- Estimated Expiration
- 2042-11-17
AI Technical Summary
Existing technologies are insufficient to effectively assess the overall effectiveness of shipborne manned/unmanned helicopter collaborative anti-submarine warfare systems. Traditional methods lack specificity and comprehensive assessment methods oriented towards collaborative systems.
Construct a collaborative anti-submarine warfare process model for shipborne manned/unmanned helicopters, establish an effectiveness evaluation index system based on the operational process model and actual needs, and use the anti-submarine effectiveness evaluation model to quantify and aggregate index values to achieve quantitative analysis and evaluation.
It enables quantitative analysis and evaluation of the effectiveness of shipborne manned/unmanned helicopters in coordinated anti-submarine warfare, supports the demonstration of equipment military requirements and the evaluation of system contribution rate, and the evaluation results are more in line with the actual combat effect.
Smart Images

Figure CN115906627B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of effectiveness evaluation technology in equipment system, and relates to a comprehensive effectiveness evaluation method for the cooperative anti-submarine operation of the ship-borne manned / unmanned helicopter, which can also be widely applied to the anti-submarine comprehensive effectiveness evaluation of other cooperative anti-submarine equipment systems. BACKGROUND
[0002] The operational effectiveness refers to the degree of achieving the expected goal by using the operational forces of the military equipment to perform the operational tasks under the prescribed conditions. The ship-borne manned / unmanned helicopter cooperative system is essentially a tactical operational system, and the operational effectiveness of the system is formed by the mutual connection and interaction of the operational units and operational capabilities in the system, rather than the simple addition of the single weapon equipment, single operational unit and single operational capability. In this case, the operational effectiveness evaluation needs to consider not only the operational effectiveness of the equipment itself, but also the promotion degree of the overall operational effectiveness of the equipment system in which the equipment is located. The operational effectiveness of the ship-borne manned / unmanned helicopter cooperative anti-submarine operation is restricted by many factors (such as operational style, force composition, command relationship, information interaction relationship, organizational form and operational method), and it is not easy to quantitatively determine. The traditional methods generally have the disadvantages of poor pertinence and low comprehensive evaluation degree, and the current anti-submarine operational effectiveness evaluation of the helicopter is mainly carried out around the single platform, and there is a lack of comprehensive evaluation method for the manned / unmanned helicopter cooperative system. SUMMARY
[0003] The present application aims to provide a ship-borne manned / unmanned helicopter cooperative anti-submarine effectiveness comprehensive evaluation method with strong pertinence and dynamic extension. The present application can effectively determine the operational effectiveness of the ship-borne manned / unmanned helicopter cooperative anti-submarine operation, and effectively support the military demand demonstration and system contribution rate evaluation of the related equipment.
[0004] The technical solution of the present application is: a ship-borne manned / unmanned helicopter cooperative anti-submarine effectiveness comprehensive evaluation method, characterized in that: taking the operational tasks performed by the ship-borne manned / unmanned helicopter cooperative anti-submarine operation as the traction, constructing an operational process model according to the typical operational scenarios of the ship-borne manned / unmanned helicopter; constructing an effectiveness evaluation index system based on the operational process model and the actual operational requirements, and then establishing an anti-submarine effectiveness evaluation model under the cooperative anti-submarine mode; using the anti-submarine effectiveness evaluation model to quantitatively calculate the index values and aggregate the calculation, so as to realize the quantitative analysis and evaluation of the operational effectiveness of the ship-borne manned / unmanned helicopter cooperative anti-submarine operation.
[0005] In the aforementioned ship-borne manned / unmanned helicopter cooperative anti-submarine effectiveness comprehensive evaluation method, the typical operational scenarios include: the typical operational scenarios of the cooperative on-call anti-submarine and the cooperative inspection anti-submarine.
[0006] In the aforementioned ship-borne manned / unmanned helicopter cooperative anti-submarine effectiveness comprehensive evaluation method, the construction process of the operational process model is as follows:
[0007] From the traction of combat mission task, the typical combat scene of the shipborne manned / unmanned helicopter cooperative regional inspection anti-submarine is established; for each combat scene, the force deployment, equipment system composition, command relationship and battlefield environment situation constraint condition of the combatant are determined; then the anti-submarine combat process of the shipborne manned / unmanned helicopter cooperative system is constructed based on the combat scene.
[0008] In the aforementioned comprehensive evaluation method of the shipborne manned / unmanned helicopter cooperative anti-submarine effectiveness, the combat process model is constructed by using the activity graph modeling method, and the combat process is divided into a plurality of combat activities in time sequence.
[0009] In the aforementioned comprehensive evaluation method of the shipborne manned / unmanned helicopter cooperative anti-submarine effectiveness, the construction method of the effectiveness evaluation index system is as follows:
[0010] Based on the system engineering thought, the effectiveness evaluation indexes are decomposed layer by layer to construct the effectiveness index system of four levels of "war technical index-combat capability-system effectiveness-combat effectiveness".
[0011] In the aforementioned comprehensive evaluation method of the shipborne manned / unmanned helicopter cooperative anti-submarine effectiveness, the war technical index includes the specific performance parameters of the evaluatable entity and the indexes of the measurable time combat effect.
[0012] In the aforementioned comprehensive evaluation method of the shipborne manned / unmanned helicopter cooperative anti-submarine effectiveness, the anti-submarine effectiveness evaluation model includes the sonobuoy detection probability model, the dipping sonar detection probability model, the torpedo attack probability model and the magnetic exploration detection probability model.
[0013] The construction method of the sonobuoy detection probability model is that the submarine moves in a fixed area, the position of the submarine in the area obeys the uniform distribution, the speed of the submarine obeys the normal distribution with the mean value of V d and the variance of 1 knot; the shipborne manned / unmanned helicopter cooperative regional inspection anti-submarine uses N passive omnidirectional buoys to form a d*d square coverage array; in the three-level sea state, the action distance of the passive omnidirectional buoy to the submarine at the economic speed is m kilometers; the survival probability and the detection probability of the buoy are both 0.8; the life of the buoy is h1 hours, and the listening time of the buoy is h2 hours; the sonobuoy detection discovery probability is obtained by a plurality of simulation solutions through the Monte Carlo method.
[0014] The dipping sonar detection probability P d is closely related to the signal excess SE, and the greater the signal excess is, the greater the detection probability is; the construction method of the dipping sonar detection probability model is that R arr is the signal-to-noise ratio at the output end of the dipping sonar display; R 0.5 is the signal-to-noise ratio at the output end of the dipping sonar which can detect the target with the probability of 0.5; the visual detection is used as the criterion, and when the signal excess SE<0, Pd =0, therefore the acoustic detection probability model is:
[0015]
[0016] The construction method of the torpedo attack probability model is as follows: the torpedo attack fire control model is that after the target position information is acquired in the early stage, the torpedo is launched at a predetermined point; after the torpedo enters the water, the torpedo searches for the target along the motion radius; when the target is found, the torpedo strikes the target automatically.
[0017] The construction method of the magnetic exploration detection probability model is as follows: the magnetic exploration detection range is L, the detection time is t c , the submarine diving depth is d, the flight height of the helicopter is H u , and the effective detection width is The magnetic exploration detection area is S c , the flight speed of the helicopter is v u , and the magnetic exploration detection probability model is:
[0018]
[0019] In the foregoing shipborne manned-unmanned helicopter cooperative anti-submarine efficiency comprehensive evaluation method, the aggregation calculation method of the efficiency index is as follows: the arithmetic mean value is applied, the quantitative value of each layer index is multiplied by the corresponding weight and stacked to aggregate, and the formula is as follows:
[0020]
[0021]
[0022] In the formula, y i is the weighted comprehensive evaluation value of a layer index; x ij is the quantitative value of the jth index under the index i; and w j is the weight of the index j.
[0023] The advantages of the present application are as follows: compared with the prior art, the present application combines with the equipment requirement demonstration process, takes the combat mission scene as the traction, proposes an efficiency comprehensive evaluation method closely combined with actual combat use, effectively supports the comprehensive evaluation of the helicopter cooperative combat system efficiency, and the evaluation result is more close to the actual combat effect.
[0024] The present application proposes a cooperative anti-submarine comprehensive efficiency evaluation method, that is, the method combines the characteristics of cooperative anti-submarine combat operation and considers the specific use of actual anti-submarine task load, can not only quantitatively evaluate the cooperative anti-submarine efficiency, but also effectively support the selection and optimization of the cooperative anti-submarine mode, and effectively provide an evaluation means for the equipment system design. BRIEF DESCRIPTION OF DRAWINGS
[0025] Figure 1 is a flow chart of the present application;
[0026] Figure 2 is a combat process model construction example;
[0027] Figure 3 is a shipborne manned / unmanned helicopter cooperative regional inspection anti-submarine effectiveness evaluation index system;
[0028] Figure 4 is a torpedo attack probability model schematic diagram. DETAILED DESCRIPTION
[0029] The present application will be further described below in conjunction with the accompanying drawings and examples, but not as a basis for limiting the present application.
[0030] Example 1. A shipborne manned / unmanned helicopter cooperative anti-submarine effectiveness comprehensive evaluation method, see Figure 1 , based on the system engineering thought, combined with the equipment requirement demonstration process, aiming at the shipborne manned / unmanned helicopter cooperative anti-submarine typical combat task, a combat task demand-oriented anti-submarine effectiveness comprehensive evaluation method is proposed, which specifically includes the following steps:
[0031] 1) Combat process modeling analysis: see Figure 2 , starting from the traction of combat mission tasks, the typical combat scene of shipborne manned / unmanned helicopter cooperative regional inspection anti-submarine is established. For each combat scene, the force deployment, equipment system composition, command relationship, battlefield environment situation and other constraint conditions of the combatant parties are determined. Then the anti-submarine combat process of the shipborne manned / unmanned helicopter cooperative system is constructed based on the combat scene. The combat process is decomposed into several combat activities in time sequence by using the activity diagram modeling method, and the combat process model formed is the framework of the combat effectiveness model.
[0032] 2) Effectiveness evaluation index system construction: the evaluation index should be attached to the combat mission task, reflect the basic combat target, and highlight the characteristics of the effectiveness evaluation object, and describe the completion effect of the system in achieving the tactical task or target in combat. The index is a quantifiable evaluation index, mainly including specific performance parameters of the evaluatable entity and indexes that can measure the time effectiveness of the combat (such as the search time). Based on the system engineering thought, the top-level index is decomposed layer by layer from top to bottom, and the effectiveness index system of four levels of “tactical index-combat capability-system effectiveness-combat effectiveness” is constructed from bottom to top, as shown in Figure 3 .
[0033] 3) Effectiveness evaluation model construction: the corresponding evaluation model is constructed by analytical method, and then the mutual relationship between effectiveness and equipment performance, scale and other elements is more clearly reflected. Combined with the combat process of shipborne manned / unmanned helicopter cooperative regional inspection anti-submarine, the nature of cooperative system combat can be better reflected by constructing the corresponding combat task probability model. The probability model constructed based on this method is closely related to the typical task scenario of shipborne manned / unmanned helicopter cooperative anti-submarine, so that the evaluation results are more targeted and valuable for the cooperative combat system.
[0034] a) Sonar buoy detection probability model
[0035] The submarine moves in a fixed area, and its position in the area obeys uniform distribution, and the submarine speed obeys normal distribution with mean v d and variance 1 knot. Shipborne manned / unmanned helicopter cooperative regional inspection anti-submarine adopts a d*d square coverage array composed of N passive omnidirectional buoys (where N=d*d), and the effective distance of passive omnidirectional buoys to submarines at economic speed is m kilometers in three-level sea state. The survival probability and detection probability of the buoy are both 0.8. The service life of the buoy is h1 hours, and the listening time of the buoy is h2 hours. The sonar buoy detection discovery probability can be obtained by solving multiple simulations by Monte Carlo method.
[0036] b) Hoist sonar detection probability model
[0037] Given R arr , the signal-to-noise ratio at the output end of the hoist sonar display; R 0.5 , the signal-to-noise ratio at which the hoist sonar can detect the target with a probability of 0.5 (usually, the visual recognition discovery target with exactly a probability of 0.5). Taking visual detection as the standard, when the signal excess SE<0, P d =0, so the hoist sonar detection probability model is:
[0038]
[0039] Where, lg is the exponential function symbol, p fa is the false alarm probability;
[0040] c) Torpedo attack probability model
[0041] Referring to Figure 4 , the torpedo attack fire control model is to launch a torpedo at a predetermined point after obtaining the target position information in advance. After the torpedo enters the water, it will search for the target along the motion radius. When the target is found, the torpedo will attack the target automatically. The discovery and hit model is solved by Monte Carlo method.
[0042] d) Magnetic exploration detection probability model
[0043] The detection range of the magnetic exploration is L, and the detection time is tc , submarine diving depth is d, the flight height of the helicopter is H u , then the effective detection width is The magnetic exploration detection area is S c , the flight speed of the helicopter is v u , then the magnetic exploration detection probability model is:
[0044]
[0045] 4) Performance index aggregation calculation: based on the linear weighted synthesis method, the index value aggregation calculation is carried out, which is the most commonly used method in military field to evaluate the equipment performance and the inherent combat capability of the troops. The principle is to apply the arithmetic average operator to multiply and stack the quantified values of each layer index and its corresponding weight to aggregate.
[0046]
[0047] In the formula: y i is the weighted comprehensive evaluation value of a certain layer index; x ij is the quantified value of the jth index under the index i; w j is the weight of the index j.
[0048] Table 1 Weighted example of shipborne manned / unmanned helicopter cooperative area inspection anti-submarine index
[0049] Performance indicator Detection range Detection time Identification time Positioning accuracy Detection efficiency Identification accuracy Weight 0.195 0.193 0.197 0.198 0.112 0.105
[0050] Finally, according to the equipment performance parameters of shipborne manned helicopters and unmanned helicopters (including task radius, task time, speed, and parameters of load such as sonobuoy, buoy, and magnetic exploration), the index values of the index system are calculated, the indexes are aggregated by using the weights in Table 1, and then the quantitative value of the shipborne manned / unmanned helicopter cooperative anti-submarine combat effectiveness is obtained.
Claims
1. A method for comprehensive evaluation of the effectiveness of manned-unmanned helicopter cooperation in antisubmarine warfare, characterized in that, The combat process model is constructed according to the typical combat scenes of the manned / unmanned helicopter, and the anti-submarine effectiveness evaluation model is established based on the combat process model and actual combat requirements, so as to realize the quantitative analysis and evaluation of the anti-submarine effectiveness of the manned / unmanned helicopter. The anti-submarine effectiveness evaluation model comprises a sonar buoy detection probability model, a sonar detection probability model, a torpedo attack probability model and a magnetic detection probability model. The method for constructing the sonar buoy detection probability model is as follows: the submarine moves in a fixed area, the position of the submarine in the area obeys uniform distribution, the speed of the submarine obeys normal distribution with mean value V d , and variance 1; the ship-borne manned / unmanned helicopter cooperates with the area to check antisubmarine, and a d*d square coverage array is formed by N passive omnidirectional buoys; in the third sea state, the action distance of the passive omnidirectional buoy to the submarine at the economic speed is m kilometers; the survival probability and the detection probability of the buoy are both 0.8; the life of the buoy is h1 hours, and the listening time of the buoy is h2 hours; the sonar buoy detection discovery probability can be obtained by multiple simulation solutions through the Monte Carlo method. The echo detection probability P d The signal excess SE is closely related to the detection probability, and the greater the signal excess, the greater the detection probability. The construction method of the echo detection probability model is as follows: given R arr The signal-to-noise ratio of the echo display output end; R 0.5 The signal-to-noise ratio of the echo output end can detect the target with a probability of 0.
5. When visual detection is used as a reference, when signal excess SE < 0, P d = 0, so the sound detection probability model is: wherein lg is an exponential function symbol, p fa is a false alarm probability; The torpedo attack probability model is constructed as follows: the torpedo attack fire control model is to launch a torpedo at a predetermined point after obtaining the target position information in the early stage; the torpedo searches for the target along the motion radius after entering the water; the torpedo strikes the target automatically after finding the target; and the discovery and hit model is solved by the Monte Carlo method. The method for constructing the magnetic detection probability model is as follows: the magnetic detection range is L, the detection time is , the submarine diving depth is d, the flight height of the helicopter is , and the effective detection width is ; the magnetic detection area is , the flight speed of the helicopter is , and the magnetic detection probability model is as follows: 。 2. The method according to claim 1, wherein the method is characterized in that: The typical combat scenes include the typical combat scenes of cooperative on-call anti-submarine and cooperative inspection anti-submarine.
3. The comprehensive evaluation method for the cooperative anti-submarine effectiveness of shipborne manned and unmanned helicopters according to claim 1, characterized in that: The construction process of the combat process model is as follows: The typical combat scene of the manned / unmanned helicopter cooperative regional inspection anti-submarine is established from the traction of the combat mission task; the force deployment, equipment system composition, command relationship and battlefield environment situation constraint conditions of the combat parties are determined for each combat scene; and then the anti-submarine combat process of the manned / unmanned helicopter cooperative system is constructed based on the combat scene.
4. The comprehensive evaluation method for the cooperative anti-submarine effectiveness of shipborne manned and unmanned helicopters according to claim 3, characterized in that: The construction of the combat process model adopts the activity diagram modeling method, and the combat process is divided into a plurality of combat activities in time sequence.
5. The comprehensive evaluation method for the cooperative anti-submarine effectiveness of shipborne manned and unmanned helicopters according to claim 1, characterized in that: The construction method of the effectiveness evaluation index system is as follows: Based on the system engineering thought, the effectiveness evaluation index is decomposed layer by layer to construct the effectiveness index system of four levels of "war technical index-combat capability-system effectiveness-combat effectiveness".
6. The method of claim 5, wherein the method further comprises: The war technical index comprises the specific performance parameters of the evaluatable entity and the indexes of the measurable time combat effect.
7. The method of claim 1, wherein, The aggregation calculation method of the effectiveness index is as follows: the quantitative values of the indexes at each level are multiplied by the corresponding weights and added to aggregate, and the formula is as follows: In the formula: is the weighted comprehensive evaluation value of a certain layer index; is the jth index quantization value under index i; is the weight of index j.
Citation Information
Patent Citations
Underwater target detection method based on full tensor gravity gradient inversion
CN101975969A
Method and system for determining helicopter calling search scheme, and storage medium
CN112347135A