A distributed maintenance support site selection system and method for military Internet of Things
By integrating low-orbit satellite IoT and edge computing technology into the military IoT distributed maintenance guarantee system, combining laser three-dimensional radar and environmental monitoring module, the problems of maintenance site selection and resource scheduling in the field environment are solved, and efficient maintenance guarantee is achieved.
Patent Information
- Application Number
- CN202210016243.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-01-07
- Publication Date
- 2025-06-06
- Estimated Expiration
- 2042-01-07
AI Technical Summary
The distributed maintenance guarantee site selection system for the military Internet of Things is difficult to quickly match the land area and terrain characteristics in the wild environment, meets the maintenance environment conditions, and effectively consumes carry-on maintenance resources.
Low-orbit satellite Internet of Things, satellite measurement and control feed links, satellite AMF/SMF/UPF, low-power wireless wide area network, gNB base station and other technologies are adopted with 5G mobile communication technology system, and real-time data processing and matching is carried out through edge computing.
It realizes the rapid identification and matching of the land area and terrain characteristics in a field environment, meets the maintenance environment conditions, and effectively dispatches and carries maintenance resources, improving the efficiency and response speed of the maintenance guarantee system.
Smart Images

Figure CN114723075B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of equipment maintenance and support, and in particular to a distributed maintenance and support site selection system and method for military Internet of Things. Background Art
[0002] At present, the Internet of Things is rising strongly. The most important and core issue of the military application of the Internet of Things is how to integrate it into joint operations and its support system under the premise of meeting military needs, so as to effectively improve combat capabilities and support efficiency. Demand traction is the driving force for the development of various new technologies. With the potential application of the Internet of Things in the military field, especially the strong traction of the needs of joint operations on the information battlefield, the construction of the Internet of Things has become increasingly urgent. The core of the military Internet of Things focuses on factors such as battlefield situation perception, intelligent analysis and judgment, and action process control, so that the system can achieve effective operation in all directions, all time domains, and all spectra, thereby comprehensively improving the system combat capability based on information systems. Maintenance and support for the military Internet of Things is to achieve accurate battlefield perception from sensors to maintenance and support resources, that is, to establish a comprehensive Internet of Things for all elements and processes of battlefield dynamic perception, data collection and transmission, optimized decision-making, resource allocation, and scheduling.
[0003] Under modern high-tech conditions, wars are highly sudden, battlefield situations change quickly, and there is a small gap between combat phases. Time is the key factor in winning wars. Only by building a distributed maintenance and support system for the military Internet of Things can we meet the support needs of the maintenance and support system, achieve rapid and agile response, and improve the survival rate. Whether the location of equipment maintenance and support resources is reasonable or not is directly related to whether the equipment's autonomous maintenance and support system can provide support for needs within the available time range, and the level and efficiency of the support services provided. Solving the problems of "where to configure" and "whether to configure" the maintenance and support system for the military Internet of Things directly affects the effectiveness of the maintenance and support system.
[0004] For the military Internet of Things, the distributed maintenance and support system can effectively improve survivability and response speed. However, in the field environment of cross-regional joint operations, the existing equipment maintenance and support system for the military Internet of Things has the following problems:
[0005] 1. Each distributed maintenance support point of the maintenance system needs to be temporarily located and opened according to the overall needs of the support mission. Before the site selection and opening, it is necessary to quickly match and detect whether the land area and terrain characteristics of the planned maintenance support point meet the deployment of field maintenance equipment and the implementation of maintenance activities. At the same time, it is also necessary to meet certain environmental conditions, including temperature, humidity, and dust content, which the existing equipment maintenance support system cannot meet.
[0006] 2. The distributed maintenance and support site selection system can improve survivability and reduce response time by supporting and dispersing support points, but the distance between support points is far and the span is large, and the information path is limited.
[0007] 3. The site selection of distributed maintenance support should fully consider the system maintenance response Summary of the invention
[0008] The technical problems to be solved by the present invention are: how to select a maintenance and support site according to the needs of distributed maintenance and support for a distributed maintenance and support site selection system for the military Internet of Things, how to determine the superposition of needs according to the area and terrain characteristics of the maintenance and support point, how to determine the needs according to the maintenance environment, and how to perceive the consumption of portable maintenance resources under the needs of special environments such as mobile status, poor field communication capabilities, and long communication distances.
[0009] In order to solve the above technical problems, the technical solution adopted by the present invention provides a distributed maintenance support site selection system for military Internet of Things, including: a low-orbit satellite Internet of Things (1) based on 5G mobile communication technology, a satellite measurement and control feeder link (2), a satellite AMF / SMF / UPF (3), a low-power wireless wide area network (4), a gNB base station (5), a vehicle (6), a field maintenance shelter (7), a distributed maintenance support site selection service end (8), and a power supply module (9) for each device and module. The field maintenance shelter (7) includes a vehicle-mounted laser three-dimensional radar (10), an environmental monitoring The vehicle-mounted three-dimensional laser radar (10), the environmental monitoring module (11), the electronic tag reader / writer (12), the Beidou positioning module (13), and the edge computing box (14) are connected to the edge computing box (14) through a communication link. The three-dimensional laser radar (10) is placed on the top of the field maintenance cabin (7), the environmental monitoring module (11) is placed outside the field maintenance cabin (7), and the electronic tag reader / writer (12) is placed at the entrance and exit of the field maintenance cabin (7).
[0010] Furthermore, the vehicle-mounted three-dimensional laser radar (10) is one of a rotating laser radar, a MEMS laser radar, a flash laser radar or a phased array laser radar.
[0011] Furthermore, the low-power wireless wide area network (4) is a NB-IoT and / or LoRa network.
[0012] Furthermore, the distributed maintenance support site selection server (8) includes a GIS server, a military radio frequency tag management server, a maintenance support ledger data server, and a display terminal module.
[0013] A method for a distributed maintenance support site selection system for military Internet of Things includes the following implementation steps:
[0014] Step S1, determine the basic demand parameters, select the candidate support points that meet the characteristics of the area and terrain in the support area of the GIS server according to the requirements of the area and terrain characteristics of the distributed maintenance support system, the number of candidate support points is J, the number of support resource points that can be built is determined as P according to the carrier and field maintenance shelter, the number of demand points is determined as I, and the number of types of maintenance resources is determined as Q;
[0015] Step S2, establish the objective function of distributed maintenance support site selection,
[0016]
[0017] The goal is to maximize the satisfaction of timely completion of maintenance tasks, where w i ζ iq The importance of getting all resources q in time to meet the needs of the entire task, w i is the importance factor of demand point i, ζ iq is the importance measurement parameter of resource q for demand point i to complete its stage task, F iq (t iq ) is the guaranteed response time t of demand point i to resource q iq The satisfaction level, G iq (e iq ) is the resource satisfaction rate e of demand point i to resource q iq level of satisfaction;
[0018] Step S3, establishing a constraint function,
[0019]
[0020] N iq is the estimated demand for resource q at demand point i, e iq is the resource satisfaction rate, which is the percentage of demand point i satisfying resource q under the current decision conditions, b jq To ensure the resource allocation decision of resource points, j To ensure the location decision of resource points, u q is the unit capacity occupancy rate of resource q, measured by the volume of each unit of this type of resource, θ q is the unit capacity occupancy rate of resource q, measured by the weight of each unit of this type of resource, t ji When alternative point j provides guarantee to demand point i, the required guarantee response time, c j is the transport capacity constraint of the alternative point j, measured by the product of resource weight and time unit, y jiqTo ensure relationship decisions;
[0021] Step S4, generate the initial population, determine the population size pop_size to generate the initial population, use uniform random numbers to generate the initial population pop within the range of the independent variable value, and set the number of iterations;
[0022] Step S5, calculate the fitness value of each individual in the population:
[0023]
[0024] Step S6, preprocessing of individuals in the population, determining whether the individuals meet the constraint conditions according to the constraint function, deleting individuals that do not meet the constraints, and arranging the individuals from large to small according to the fitness value;
[0025] Step S7, determine the calling operator condition, determine whether the random parameter is greater than the preset value, if it is greater than the preset value, call the crossover operator to perform a crossover operation, otherwise call the mutation operator to perform a mutation operation, and form a new population with the generated new individuals and the old individuals that meet the constraints to ensure that the population size pop_size meets the requirements;
[0026] Step S8, judging whether the number of iterations is satisfied, if not, returning to S5, if satisfied, going to S9;
[0027] Step S9, outputting the individual with the largest fitness value as the site selection plan;
[0028] Step S10: According to the site selection plan, the distributed maintenance and support site selection service generates a maneuvering instruction from the site selection plan, and sends the maneuvering instruction and the geographical location information of the maneuvering target area to the vehicles of each standby distributed support point through the information link composed of the low-orbit satellite Internet of Things, satellite measurement and control feeder link, satellite AMF / SMF / UPF, low-power wireless wide area network, and gNB base station of the 5G mobile communication technology system. After receiving the instruction information, the vehicle tows the field maintenance shelter to the maneuvering target area under the navigation of the Beidou positioning module;
[0029] Step S11, determine the environmental conditions and set the environmental monitoring module to detect environmental parameters e o , and transmit the environmental parameter threshold δ stored by the edge computer to the edge computer e Compare, when e o ≤δ e , then proceed to the next step, when e o >δ e Then jump to step S13;
[0030] Step S12, terrain condition determination is performed, and the vehicle-mounted laser three-dimensional radar collects parameters of the terrain area and terrain characteristics to obtain a point cloud set position=<X,Y,Z> , and transmits it to the edge computer and the area information stored in the edge computer, the terrain characteristic parameter threshold δ position = <X min ,Y min ,Z min >When the comparison is made, only when the vertical axis value and the horizontal axis value of the point cloud are greater than or equal to the minimum value requirement, and the elevation value is less than or equal to the maximum value requirement, the edge computer will return the information that meets the site selection condition instruction, determine the site selection, and end this site selection, otherwise go to step S13;
[0031] Step S13, returning the information that does not meet the site selection conditions, deleting the candidate point, and jumping to step S10.
[0032] Compared with the prior art, the present invention has the following significant advantages:
[0033] 1. The present invention realizes a distributed maintenance support site selection system for the military Internet of Things. The vehicle and the field maintenance cabin receive remote command information from the distributed maintenance support site selection server, perceive and match the information as required, and return the matching results to the distributed maintenance support site selection server.
[0034] 2. The present invention realizes a distributed maintenance and support site selection system for the military Internet of Things, which can realize the interconnection of data and objects between distributed maintenance and support points and maintenance and support site selection service terminals in a field environment.
[0035] 3. The present invention proposes a site selection method with the goal of maximizing the satisfaction of timely completion of maintenance tasks. It can realize the rapid site selection of multiple support points, and can combine with the vehicle-borne detection equipment to realize the perception and judgment of whether the site selection conditions are met, and adjust the site selection decision plan. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] Figure 1 Connection diagram of the distributed maintenance support site selection system for the military Internet of Things
[0037] Figure 2 Connection diagram of vehicle and field maintenance shelter
[0038] Figure 3 Flowchart of the distributed maintenance support site selection method for military Internet of Things DETAILED DESCRIPTION Specific implementation method 1
[0040] According to one embodiment of the present invention, Figure 1 , 2The invention discloses a distributed maintenance support site selection system for military Internet of Things, comprising: a low-orbit satellite Internet of Things (1) based on 5G mobile communication technology, a satellite measurement and control feeder link (2), a satellite AMF / SMF / UPF (3), a low-power wireless wide area network (4), a gNB base station (5), a vehicle (6), a field maintenance shelter (7), a distributed maintenance support site selection service end (8), and power supply modules (9) for various devices and modules. The field maintenance shelter (7) comprises a vehicle-mounted three-dimensional laser radar (10), an environmental monitoring module (11), an electronic A tag reader / writer (12), a Beidou positioning module (13), an edge computing box (14), the vehicle-mounted three-dimensional laser radar (10), the environmental monitoring module (11), the electronic tag reader / writer (12), and the Beidou positioning module (13) are connected to the edge computing box (14) via a communication link; the three-dimensional laser radar (10) is placed on the top of the field maintenance cabin (7), the environmental monitoring module (11) is placed outside the field maintenance cabin (7), and the electronic tag reader / writer (12) is placed at the entrance and exit of the field maintenance cabin (7).
[0041] The distributed maintenance support site selection service end (8) sends the maneuvering instruction and the geographical location information of the maneuvering target area to the carrier (6) of each standby distributed support point through the information link composed of the low-orbit satellite Internet of Things (1) based on the 5G mobile communication technology system, the satellite measurement and control feed link (2), the satellite AMF / SMF / UPF (3), the low-power wireless wide area network (4), and the gNB base station (5). After receiving the instruction information, the carrier (6) tows the field maintenance shelter (7) to the maneuvering target area under the navigation of the Beidou positioning module (13), and the field maintenance shelter (7) is quickly deployed. The on-board laser three-dimensional radar (10) and the environmental monitoring module (11) sense the required land area information, terrain characteristics information and environmental condition information, and transmit the sensed information to the edge computing box (14). The edge computing box (14) matches the received information with the pre-stored land area, terrain characteristics and environmental condition requirement information. If the matching result is satisfied, the information is transmitted back and the distributed maintenance support site selection service end (8) determines the site selection. If the matching result is not satisfied, the information is transmitted back to the distributed maintenance support site selection service end (8) to re-determine the site selection area and wait for receiving instruction information. After the maintenance is carried out, the electronic tag reader (12) automatically reads the radio frequency information of the maintenance resources consumed in the field maintenance shelter (7) and transmits it to the edge computing box (14), and determines whether the preset threshold is reached. If the threshold condition is met, the information is transmitted to the distributed maintenance support site selection service end (8) through the information link, and waits for new maneuvering instructions and geographical location information of the maneuvering target area. Specific implementation method 2
[0043] According to one embodiment of the present invention, Figure 3A distributed maintenance and support site selection method for military Internet of Things of the present invention comprises the following steps:
[0044] Step S1, determine the basic demand parameters, according to the requirements of the land area and terrain characteristics of the distributed maintenance support system site selection, select the support point candidate points that meet the land area and terrain characteristics in the support area of the GIS server, the number of support point candidate points is 9, respectively: [[400.0,190.0], [720.0,630.0], [270.0,810.0], [150.0,730.0], [660.0,350.0], [340.0,300.0], [740.0,820.0], [150.0,450.0], [580.0,880.0]], according to the vehicle and field maintenance shelter, the number of support resource points that can be built is determined to be 5, and the number of demand points is determined to be 21, respectively: [[240.0,660.0], [580.0,11 0.0],[460.0,320.0],[800.0,610.0],[380.0,830.0],[550.0,470.0],[660.0,570.0],[290.0,60.0],[650.0,810.0],[690.0,170.0],[90.0,510.0],[230.0,870.0 ],[330.0,430.0],[410.0,450.0],[120.0,810.0],[270.0,320.0],[40.0,450.0],[520.0,850.0],[780.0,810.0],[330.0,160.0],[450.0,730.0]], determine that the number of types of maintenance resources is 2;
[0045] Step S2, establish the objective function of distributed maintenance support site selection,
[0046]
[0047] Among them, the goal is to maximize the satisfaction of timely completion of maintenance tasks, w i ζ iq =[0.7,0.6,0.9,0.9,0.8,0.7,0.8,1.0,0.7,0.5,1.0,1.0,0.8,0.9,0.6,0.8,1.0,0.7,0.8,1.0,0.8], F iq (t iq)=[[[25.0,55.0,2.0],[30.0,45.0,3.0],[35.0,65.0,2.0],[40.0,75.0,4.0],[40.0,75.0,2.0],[30.0,75.0,3.0],[20.0,45.0,2.0],[30.0,45.0,2.0],[35.0,65.0,3.0],[45.0,75.0,2.0],[40.0, 75.0,4.0],[40.0,75.0,2.0],[20.0,45.0,3.0],[30.0,45.0,2.0],[35.0,65.0,2.0],[25.0,75.0,3.0],[40.0,75.0,2.0],[30.0,75.0,4.0],[20.0,45.0,2.0],[40.0,45.0,3.0],[35.0,65.0,2.0]] ,[[30.0,45.0,3.0],[25.0,50.0,2.0],[40.0,70.0,2.0],[45.0,85.0,3.0],[40.0,85.0,3.0],[45.0,85.0,2.0],[25.0,45.0,2.0],[25.0,50.0,3.0],[40.0,70.0,2.0],[50.0,85.0,2.0],[40.0,85 .0,3.0],[45.0,85.0,3.0],[25.0,45.0,2.0],[25.0,50.0,2.0],[40.0,70.0,3.0],[45.0,85.0,2. 0],[55.0,85.0,2.0],[45.0,85.0,3.0],[35.0,45.0,3.0],[25.0,50.0,2.0],[40.0,70.0,2.0]]],G iq (e iq)=[[[0.6,0.8],[0.85,0.7],[0.5,0.8],[0.7,0.7],[0.5,0.7],[0.85,0.7],[0.5,0.8],[0.7,0.7],[0.85,0.8],[0.5,0.7],[0.7,0.7],[0.6,0.7],[0.85,0.8],[0.5,0.7],[0.6,0.8],[0.85,0.7],[0.5,0.7],[0.7,0.7],[0.5,0.8],[0.85,0.7],[0.5,0.8] ],[[0.8,0.6],[0.9,0.7],[1.0,0.5],[0.85,0.6],[0.8,0.6],[0.75,0.6],[1.0,0.6],[0.8,0.7],[0.9,0.5],[1.0,0.6],[0.65,0.6],[0.8,0.6],[0.8,0.6],[1.0,0.7],[0.8,0.5],[0.7,0.6],[1.0,0.6],[0.85,0.6],[0.8,0.6],[0.9,0.7],[1.0,0.5]]];
[0048] Step S3, establishing a constraint function,
[0049]
[0050] Where: N iq =[[48.0,17.0],[25.0,26.0],[30.0,43.0],[40.0,30.0],[32.0,36.0],[45.0,20.0],[41.0,31.0],[33.0,37.0],[23.0,17.0],[36.0,34.0],[17.0 ,29.0],[33.0,21.0],[59.0,40.0],[33.0,12.0],[39.0,9.0],[51.0,19.0 ],[40.0,21.0],[33.0,19.0],[37.0,13.0],[35.0,33.0],[23.0,42.0]],u q =[1.0,1.5],θ q =[0.02,0.015], t ji=[[56.0,62.0,15.0,6.0,58.0,43.0,56.0,26.0,42.0],[24.0,57.0,80.0,79.0,26.0,34.0,73.0,58.0,77.0],[15.0,48.0,54.0,52.0,21.0,12.0,58.0,34.0,57.0],[64.0,9.0,64.0,74.0,33.0,62.0,27.0,74.0,41.0],[66.0,49.0,10.0,24.0,56.0,54.0,37.0,45.0,22.0],[47.0,17.0,46.0,53.0,22.0,42.0,27.0,52.0,32.0],[53.0,11.0,48.0,57.0,26.0,47.0,22.0,57.0,30.0],[17.0,78.0,76.0,69.0,48.0,25.0,89.0,41.0,87.0],[68.0,24.0,37.0,50.0,46.0,59.0,10.0,61.0,10.0],[33.0,47.0,79.0,80.0,20.0,40.0,65.0,63.0,72.0],[45.0,73.0,37.0,24.0,59.0,33.0,72.0,9.0,62.0],[72.0,63.0,7.0,16.0,67.0,59.0,51.0,43.0,35.0],[26.0,52.0,40.0,36.0,33.0,14.0,56.0,19.0,51.0],[27.0,44.0,40.0,39.0,27.0,17.0,50.0,26.0,46.0],[69.0,71.0,16.0,9.0,70.0,56.0,62.0,36.0,47.0],[20.0,63.0,51.0,43.0,40.0,9.0,69.0,17.0,64.0],[45.0,79.0,44.0,31.0,62.0,34.0,79.0,12.0,68.0],[68.0,36.0,25.0,39.0,51.0,58.0,22.0,54.0,7.0],[75.0,19.0,50.0,63.0,48.0,68.0,5.0,73.0,21.0],[6.0,67.0,67.0,61.0,37.0,15.0,77.0,35.0,75.0],[55.0,38.0,20.0,30.0,43.0,44.0,31.0,40.0,20.0]],c j=[70.0,70.0,70.0,70.0,70.0,70.0,70.0,70.0,70.0];
[0051] Step S4, generate an initial population, determine the population size pop_size to generate an initial population of 10, use a uniform random number to generate the initial population pop within the range of the independent variable value, and set the number of iterations to 100;
[0052] Step S5, calculate the fitness value of each individual in the population:
[0053]
[0054] Step S6, preprocessing of individuals in the population, determining whether the individuals meet the constraint conditions according to the constraint function, deleting individuals that do not meet the constraints, and arranging the individuals from large to small according to the fitness value;
[0055] Step S7, determine the calling operator condition, determine whether the random parameter is greater than the preset value, if it is greater than the preset value, call the crossover operator to perform a crossover operation, otherwise call the mutation operator to perform a mutation operation, and form a new population with the generated new individuals and the old individuals that meet the constraints to ensure that the population size pop_size meets the requirements;
[0056] Step S8, judging whether the number of iterations is satisfied, if not, returning to S5, if satisfied, going to S9;
[0057] Step S9, output the individual with the largest fitness value as the site selection plan, which is [[1,1,1,1,1,0,0,0,0]], that is, 5 of the 9 backup points meet the constraint requirements;
[0058] Step S10: According to the site selection plan, the distributed maintenance and support site selection service generates a maneuvering instruction from the site selection plan, and sends the maneuvering instruction and the geographical location information of the maneuvering target area to the vehicles of each standby distributed support point through the information link composed of the low-orbit satellite Internet of Things, satellite measurement and control feeder link, satellite AMF / SMF / UPF, low-power wireless wide area network, and gNB base station of the 5G mobile communication technology system. After receiving the instruction information, the vehicle tows the field maintenance shelter to the support point candidate points 1 to 5 in the maneuvering target area under the navigation of the Beidou positioning module;
[0059] Step S11, determine the environmental conditions and compare the environmental parameters detected by the environmental monitoring module. o and the environmental parameter threshold δ stored in the edge computer e , e o ≤δ e , ensure that the environment of candidate points 1 to 5 meets the requirements and proceed to the next step;
[0060] Step S12, terrain condition determination is performed, and the vehicle-mounted laser three-dimensional radar collects parameters of the terrain area and terrain characteristics to obtain a point cloud set position=<X,Y,Z> , and transmits it to the edge computer and the area information stored in the edge computer, the terrain characteristic parameter threshold δ position = <X min ,Y min ,Z min > Make a comparison, the vertical axis value and the horizontal axis value of the point cloud are greater than or equal to the minimum numerical requirement, and the elevation value is less than or equal to the maximum numerical requirement, ensuring that the candidate points 1 to 5 meet the constraints, determine the site selection, and end this site selection.
[0061] The above embodiments are provided only for the purpose of describing the present invention, but not to limit the scope of the present invention. Various equivalent substitutions and modifications made without departing from the spirit and principle of the present invention should be included in the scope of the present invention.
Claims
1. A distributed maintenance support site selection method for military Internet of Things, It is characterized in that The implementation steps include: Step S1, determine the basic demand parameters, select the candidate support points that meet the characteristics of the area and terrain in the support area of the GIS server according to the requirements of the area and terrain characteristics of the distributed maintenance support system, the number of candidate support points is J, the number of support resource points that can be built is determined as P according to the carrier and field maintenance shelter, the number of demand points is determined as I, and the number of types of maintenance resources is determined as Q; Step S2, establish the objective function of distributed maintenance support site selection, The goal is to maximize the satisfaction of timely completion of maintenance tasks, where w i ζ iq The importance of getting all resources q in time to meet the needs of the entire task, w i is the importance factor of demand point i, ζ iq is the importance measurement parameter of resource q for demand point i to complete its stage task, F iq (t iq ) is the guaranteed response time t of demand point i to resource q iq The satisfaction level, G iq (e iq ) is the resource satisfaction rate e of demand point i to resource q iq level of satisfaction; Step S3, establishing a constraint function, N iq is the estimated demand for resource q at demand point i, e iq is the resource satisfaction rate, which is the percentage of demand point i satisfying resource q under the current decision conditions, b jq To ensure the resource allocation decision of resource points, j To ensure the location decision of resource points, u q is the unit capacity occupancy rate of resource q, measured by the volume of each unit of this type of resource, θ q is the unit capacity occupancy rate of resource q, measured by the weight of each unit of this type of resource, t ji When alternative point j provides guarantee to demand point i, the required guarantee response time, c j is the transport capacity constraint of the alternative point j, measured by the product of resource weight and time unit, y jiq To ensure relationship decisions; Step S4, generate the initial population, determine the population size pop_size to generate the initial population, use uniform random numbers to generate the initial population pop within the range of the independent variable value, and set the number of iterations; Step S5, calculate the fitness value of each individual in the population: Step S6, preprocessing of individuals in the population, determining whether the individuals meet the constraint conditions according to the constraint function, deleting individuals that do not meet the constraints, and arranging the individuals from large to small according to the fitness value; Step S7, determine the calling operator condition, determine whether the random parameter is greater than the preset value, if it is greater than the preset value, call the crossover operator to perform a crossover operation, otherwise call the mutation operator to perform a mutation operation, and form a new population with the generated new individuals and the old individuals that meet the constraints to ensure that the population size pop_size meets the requirements; Step S8, judging whether the number of iterations is satisfied, if not, returning to S5, if satisfied, going to S9; Step S9, outputting the individual with the largest fitness value as the site selection plan; Step S10: According to the site selection plan, the distributed maintenance and support site selection service generates a maneuvering instruction from the site selection plan, and sends the maneuvering instruction and the geographical location information of the maneuvering target area to the vehicles of each standby distributed support point through the information link composed of the low-orbit satellite Internet of Things, satellite measurement and control feeder link, satellite AMF / SMF / UPF, low-power wireless wide area network, and gNB base station of the 5G mobile communication technology system. After receiving the instruction information, the vehicle tows the field maintenance shelter to the maneuvering target area under the navigation of the Beidou positioning module; Step S11, determine the environmental conditions and set the environmental monitoring module to detect environmental parameters e o , and transmit the environmental parameter threshold δ stored by the edge computer to the edge computer e Compare, when e o ≤δ e , then proceed to the next step, when e o >δ e Then jump to step S13; Step S12: Conduct terrain condition determination. The vehicle-mounted 3D lidar collects the parameters of the ground area and terrain features to obtain a point cloud set position = <X, Y, Z>, and transmits it to the edge computer for comparison with the ground area information and terrain feature parameter threshold δ stored in the edge computer. position =<X min , Y min , Z min <Only when the vertical axis value and horizontal axis value of the point cloud are greater than or equal to the minimum numerical requirements, and at the same time, the elevation value is less than or equal to the maximum numerical requirement, the edge computer will transmit back the information of the instruction meeting the site selection conditions to determine the site selection and end this site selection. Otherwise, go to step S13; Step S13, returning the information that does not meet the site selection conditions, deleting the candidate point, and jumping to step S10.
2. A distributed maintenance support site selection system for military Internet of Things, used to execute the distributed maintenance support site selection method for military Internet of Things as described in claim 1, It is characterized in that It includes: a low-orbit satellite Internet of Things based on 5G mobile communication technology, a satellite measurement and control feeder link, a satellite AMF / SMF / UPF, a low-power wireless wide area network, a gNB base station, a vehicle, a field maintenance shelter, a distributed maintenance and support site selection service end, and power supply modules for various equipment and modules. The field maintenance shelter includes a vehicle-mounted three-dimensional laser radar, an environmental monitoring module, an electronic tag reader / writer, a Beidou positioning module, and an edge computing box. The vehicle-mounted three-dimensional laser radar, the environmental monitoring module, the electronic tag reader / writer, and the Beidou positioning module are connected to the edge computing box through a communication link. The three-dimensional laser radar is placed on the top of the field maintenance shelter, the environmental monitoring module is placed on the outside of the field maintenance shelter, and the electronic tag reader / writer is placed at the entrance and exit of the field maintenance shelter.
3. According to claim 2, a distributed maintenance support site selection system for military Internet of Things, It is characterized in that The vehicle-mounted three-dimensional laser radar is one of a rotating laser radar, a MEMS laser radar, a flash laser radar or a phased array laser radar.
4. According to claim 2, a distributed maintenance support site selection system for military Internet of Things, It is characterized in that The low-power wireless wide area network is NB-IoT and / or LoRa network.
5. According to claim 2, a distributed maintenance support site selection system for military Internet of Things, It is characterized in that The distributed maintenance support site selection server includes a GIS server, a military radio frequency tag management server, a maintenance support ledger data server, and a display terminal module.
6. According to claim 2, a distributed maintenance support site selection system for military Internet of Things, It is characterized in that The environmental monitoring module is one or more of a temperature sensor, a dust sensor, and a humidity sensor.
Citation Information
Patent Citations
Distributed maintenance support site selection system for military Internet of Things
CN217467690U