CN115333887B - Multi-access fusion method and system for measurement and control communication network - Google Patents
Multi-access fusion method and system for measurement and control communication network Download PDFInfo
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Abstract
The application discloses a multi-access fusion method and a system for a measurement and control communication network, wherein the method utilizes interference sensing and natural environment sensing results to design the multi-access fusion method for the measurement and control communication network, can maximally utilize the anti-interference and anti-destruction characteristics of a heterogeneous network, realize flexible conversion under general conditions, ensure normal measurement and control and under severe conditions, and improve the reliability of the system. The application provides a one-dimensional network capability function switching judgment method based on environment perception aiming at heterogeneous network switching by defining the capabilities of the network such as interference resistance, destruction resistance, measurement accuracy, transmission rate, acting distance and the like. Compared with the existing heterogeneous network multi-access fusion method, the method has higher adaptability to complex natural environments and complex interference environments, and better access reconfigurability and flexibility of the network.
Description
Technical Field
The application relates to the technical field of measurement and control, in particular to a multi-access fusion method and system for a measurement and control communication network.
Background
With the continuous development of unmanned systems such as unmanned aerial vehicles, unmanned ships, unmanned submarines, various spacecrafts, aerospace craft and the like, more and more unmanned systems often replace unmanned equipment to perform operations, so that casualties are effectively reduced, and the working efficiency is improved. Compared with a manned platform, the unmanned system lacks personnel real-time operation, and needs to be uniformly scheduled by the control center, so that the measurement and control requirements of the unmanned system are highlighted, and higher requirements on timeliness, reliability and safety of a measurement and control network are provided.
In practical application scenes, unmanned systems often face various complex natural environments, such as islands, jungles, mountains, plateaus, underground, underwater and the like, and can bring different degrees of influence on radio transmission, such as shielding, reflection, scattering and the like. Meanwhile, unmanned systems may face strong electromagnetic interference, and are not connected with a control center. The traditional measurement and control network object is mainly oriented to various spacecrafts and aerospace spacecrafts, the traditional foundation measurement and control network is limited by the action range, the measurement and control support of an unmanned system covered on a large scale is difficult, the traditional space-based measurement and control network is also faced with the problems of high satellite deployment cost, long production and emission period and the like, and the relay satellite or the measurement and control station is difficult to reconstruct immediately once being destroyed or being subjected to strong electromagnetic interference failure.
Disclosure of Invention
The application mainly aims to provide a multi-access fusion method and a system for a measurement and control communication network, which aim to solve the technical problems of low adaptability, poor reconfigurability and poor flexibility of a heterogeneous network multi-access fusion method formed by multi-communication means and multi-functional design in the conventional measurement and control network to a complex natural environment and a complex interference environment.
In order to achieve the above object, the present application provides a multi-access fusion method for a measurement and control communication network, the method comprising the steps of:
s1: when a network access request is received, the unmanned terminal acquires a first network priority ranking table of a connectable access network in the current environment;
s2: according to the first network priority ranking table, selecting an access network with a first priority to access, and realizing information transmission between the measurement and control center and the unmanned terminal;
s3: when the current environment is detected to meet the network switching condition, the unmanned terminal sends a network switching request to the measurement and control center;
s4: the measurement and control center acquires a second network priority ranking table of the communicable access network of the current environment;
s5: detecting idle target measurement and control nodes in the access network of the first priority according to the second network priority ranking table, and sending access information of the target measurement and control nodes to the unmanned terminal;
s6: and the unmanned terminal accesses the target measurement and control node according to the access information, so that information transmission between the measurement and control center and the unmanned terminal is realized.
Optionally, the step S1 specifically includes:
s11: when a network access request is received, the unmanned terminal acquires a connectable access network of the current environment; wherein the communicable access network comprises a class I network and a class II network;
s12: recording the number N of the I-type networks and the number M of the II-type networks, judging whether the connectable access network has the II-type networks or not, if yes, executing the step S13, and if not, executing the step S14;
s13: calculating the network capacity value of each class II network and the network capacity value of each class I network, and sorting according to the network capacity values to construct a first network priority sorting table;
s14: and calculating the network capacity value of each class I network, and sorting according to the network capacity values to construct a first network priority sorting table.
Optionally, the current environment meets a network switching condition, which specifically includes: the unmanned terminal executes task changes, the capability of the unmanned terminal changes and the environment where the unmanned terminal is located changes.
Optionally, the step S4 specifically includes:
s41: when a network switching request of the unmanned terminal is received, the measurement and control center acquires a connectable access network of the unmanned terminal in the current environment; wherein the communicable access network comprises a class I network and a class II network;
s42: recording the number N of the I-type networks and the number M of the II-type networks, judging whether the connectable access network has the II-type networks or not, if yes, executing the step S43, and if not, executing the step S44;
s43: calculating the network capacity value of each class II network and the network capacity value of each class I network, and sorting according to the network capacity values to construct a second network priority sorting table;
s44: and calculating the network capacity value of each class I network, and sorting according to the network capacity values to construct a second network priority sorting table.
Optionally, the class I network is an area access measurement and control network, and the area access measurement and control network comprises various networks with area access functions, such as a spread spectrum radio measurement and control network, an underwater sound measurement and control network, a laser measurement and control network and the like; the class II network is a minimum measurement and control network, and the minimum measurement and control network comprises a long-wave measurement and control network, a very low frequency measurement and control network and other measurement and control networks with the minimum communication capacity.
Optionally, the expression of the network capability value is:
f n ＝ω 1 ln(B n )+ω 2 R n +ω 3 F n +ω 4 ln(T n )+ω 5 ln(1/M n )
wherein B is n >1 is a bandwidth factor for evaluating the bandwidth of the network signal; r is R n The anti-interference capability of the network is realized; f (F) n Is the network survivability; t (T) n >1 is a duration factor for evaluating a duration estimated time of a current task carried by a network; m is M n >0 is a network measurement precision factor for evaluating the measurement capability of the network to an unmanned target, and the measurement precision factor M of the low-precision measurement network n >1, measurement precision factor M of high-precision measurement network n <1；ω 1 +ω 2 +ω 3 +ω 4 +ω 5 =1, automatically adjusted according to the context awareness result.
Optionally, the first network priority ranking table or the second network priority ranking table specifically is:
if the connectable access network has a class II network, the first network priority ranking table or the second network priority ranking table corresponding to the class I network and the class II network is: i-i, II-j; wherein i=1, 2, …, N; j=1, 2, …, M;
if the connectable access network does not have the class II network, the first network priority ranking table or the second network priority ranking table corresponding to the class I network is: i-i; i=1, 2, …, N;
and N and M are the number of the access measurement and control networks of the communicable area and the number of the communicable minimum measurement and control networks respectively.
Optionally, when the unmanned terminal and the measurement and control center realize information transmission, the information to be transmitted is transmitted in a cross-medium mode, the information to be transmitted is sent to the relay node, and the received electric signal is converted into a corresponding medium signal through the relay node and is sent to the measurement and control center.
Optionally, the access information includes a network type, a link communication medium and a target measurement and control node IP.
In order to achieve the above object, the present application further provides a multi-access fusion system for a measurement and control communication network, the system including an unmanned terminal and a measurement and control center, the unmanned terminal and the measurement and control center executing the multi-access fusion method for the measurement and control communication network as described above.
The multi-access fusion method and the system for the measurement and control communication network, which are provided by the embodiment of the application, are designed by utilizing interference sensing and natural environment sensing results, so that the anti-interference and anti-destruction characteristics of the heterogeneous network can be utilized to the maximum extent, the flexible conversion of guaranteeing normal measurement and control under general conditions and guaranteeing limit measurement and control under severe conditions is realized, and the reliability of the system is improved. The application provides a one-dimensional network capability function switching judgment method based on environment perception aiming at heterogeneous network switching by defining the capabilities of the network such as interference resistance, destruction resistance, measurement accuracy, transmission rate, acting distance and the like. Compared with the existing heterogeneous network multi-access fusion method, the method has higher adaptability to complex natural environments and complex interference environments, and better access reconfigurability and flexibility of the network.
Drawings
Fig. 1 is a flow chart of a multi-access fusion method for measuring and controlling a communication network according to the present application.
Fig. 2 is a schematic diagram of heterogeneous network handover according to the present application.
Fig. 3 is a schematic diagram of an implementation flow of a multi-access fusion initial access process of the measurement and control communication network.
Fig. 4 is a schematic flow chart of an implementation process of the multi-access converged network handover process of the measurement and control communication network of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
At present, in the related technical field, the heterogeneous network multi-access fusion method formed by multi-communication means and multi-functional design in the existing measurement and control network has the technical problems of low adaptability to complex natural environments and complex interference environments, and poor reconfigurability and flexibility.
To solve this problem, various embodiments of the multi-access convergence method for observing and controlling a communication network of the present application are presented. The multi-access fusion method for measuring and controlling the communication network provided by the application is characterized in that the capacities of interference resistance, destruction resistance, measurement accuracy, transmission rate, acting distance and the like of the network are defined, and then a one-dimensional network capacity function switching judgment method based on environment awareness is provided for heterogeneous network switching. Compared with the existing heterogeneous network multi-access fusion method, the method has higher adaptability to complex natural environments and complex interference environments, and better access reconfigurability and flexibility of the network.
The embodiment of the application provides a multi-access fusion method for a measurement and control communication network, and referring to fig. 1, fig. 1 is a flow diagram of an embodiment of the multi-access fusion method for the measurement and control communication network.
In this embodiment, the multi-access fusion method for observing and controlling a communication network includes the following steps:
s1: when a network access request is received, the unmanned terminal acquires a first network priority ranking table of a connectable access network in the current environment;
s2: according to the first network priority ranking table, selecting an access network with a first priority to access, and realizing information transmission between the measurement and control center and the unmanned terminal;
s3: when the current environment is detected to meet the network switching condition, the unmanned terminal sends a network switching request to the measurement and control center;
s4: the measurement and control center acquires a second network priority ranking table of the communicable access network of the current environment;
s5: detecting idle target measurement and control nodes in the access network of the first priority according to the second network priority ranking table, and sending access information of the target measurement and control nodes to the unmanned terminal;
s6: and the unmanned terminal accesses the target measurement and control node according to the access information, so that information transmission between the measurement and control center and the unmanned terminal is realized.
Specifically, the present embodiment provides the following detailed steps:
as shown in fig. 2, the multiple access convergence technique of the measurement and control communication network includes initial access and network handover.
The initial access adopts an autonomous mode, an unmanned system autonomously decides an access mode and a measurement and control node to be accessed according to service requirements, self capacity and environment sensing conditions, and performs access priority ranking on networks in a selectable range, and accesses are sequentially performed from high priority to low priority until the access is successful or all selectable networks fail to access, and if all selectable networks fail to access, the unmanned system waits for a period of time and then tries to access again according to the priority. And when a large number of access failures are detected, supplementing the measurement and control nodes by the measurement and control center according to the requirement.
As shown in fig. 3, the access prioritization criteria are as follows:
(1) firstly, screening a connectable access network according to the natural environment where an unmanned system is located, and then screening a corresponding network meeting the service requirement capability from the connectable access network according to the service requirement (the service requirement comprises communication speed, communication distance, communication response time and the like) of an unmanned terminal.
When screening access networks, various networks can be classified in the measurement and control communication network, and classification criteria comprise:
(1) And measuring and controlling the information transmission rate and the acting distance of the network.
The method comprises the steps of dividing a network information transmission rate and a working distance into a minimum measurement and control network and a regional access measurement and control network, wherein the minimum measurement and control network refers to a measurement and control network with a larger working distance but a lower information transmission rate, and the regional access measurement and control network refers to a measurement and control network with a smaller working distance but a higher information transmission rate.
(2) And measuring and controlling the anti-interference capability of the network.
According to the anti-interference capability of the network, the network is divided into different anti-interference grades, and the anti-interference scoring is carried out by combining the sensing result of the system on the interference, so that the higher the score is, the stronger the anti-interference capability of the network is. Generally, the interference suffered by the network is mostly electromagnetic interference, where the anti-interference capability of the network refers to the anti-electromagnetic interference capability, but in special cases, for example, optical interference is encountered in laser communication, where the anti-interference capability of the network refers to the anti-optical interference capability, and so on, in practical use, the anti-interference capability of the network can be defined as required.
(3) And (5) measuring and controlling the anti-destruction capability of the network.
According to the network survivability, the network is classified into different survivability grades, and the survivability is scored, and the higher the score is, the stronger the network survivability is. The network anti-destruction capability mainly aims at the physical destruction resistance of a hardware platform in the network when the hardware platform is attacked by fire or natural disasters.
(4) And measuring and controlling the measurement accuracy of the network.
According to the measurement precision of the network to the unmanned target, the network is divided into different measurement precision grades, the measurement precision is scored, and the higher the score is, the lower the measurement precision is.
(2) And judging the I type network and the II type network according to the communication distance, wherein when the communication distance required by the unmanned system is within the communication distance range of the regional access network, the regional access measurement and control network is the I type network, the minimum measurement and control network is the II type network, otherwise, the minimum measurement and control network is the I type network, and the regional access measurement and control network eliminates the optional network due to the fact that the communication distance is too small.
The I-type network is an area access measurement and control network, and the area access measurement and control network comprises various networks with area access functions, such as a spread spectrum radio measurement and control network, an underwater sound measurement and control network, a laser measurement and control network and the like; the class II network is a minimum measurement and control network, and the minimum measurement and control network comprises a long-wave measurement and control network, a very low frequency measurement and control network and other measurement and control networks with the minimum communication capacity.
(3) Calculating network capability functions of the networks according to comprehensive factors such as network anti-interference capability, anti-destruction capability, communication rate, measurement accuracy and the like:
f n ＝ω 1 ln(B n )+ω 2 R n +ω 3 F n +ω 4 ln(T n )+ω 5 ln(1/M n )
wherein B is n >1 is a bandwidth factor for evaluating the bandwidth of the network signal; r is R n The anti-interference capability of the network is realized; f (F) n Is the network survivability; t (T) n >1 is a duration factor for evaluating a duration estimated time of a current task carried by a network; m is M n >0 is a network measurement precision factor for evaluating the measurement capability of the network to an unmanned target, and the measurement precision factor M of the low-precision measurement network n >1, measurement precision factor M of high-precision measurement network n <1, a step of; the weighting value is determined according to the environmental perception result, and omega is determined when the interference is detected 2 The value is correspondingly increased, ω when the system is detected as undergoing physical destruction 3 The value is correspondingly increased and satisfies omega 1 +ω 2 +ω 3 +ω 4 +ω 5 =1. And respectively sorting the class I network and the class II network according to the network capacity function value, wherein the larger the network capacity function value is, the higher the sorting is.
(4) And marking the ordered network as I-i, i=1, 2, …, N, II-j, j=1, 2, … and M, wherein N and M are the number of the access measurement and control networks of the communicable area and the number of the lowest communicable measurement and control networks respectively. If the II type network exists, the initial access priority is as follows: i-1, I-2, …, I-N, II-1, II-2, …, II-M; if there is no class II network, the initial access priority is I-1, I-2, …, I-N. It should be noted that different connected links may exist in the i-i and ii-j networks, at this time, the access sequence of these links is randomly generated, the terminal side ensures that each link is completely omitted, the network side judges whether to accept the access according to the current node capacity of the link, and when the node capacity exceeds the loadable range of the link, the terminal is refused to access, and the terminal performs the access of the next link or the network of the next priority.
The network switching process adopts an autonomous and controlled hybrid mode, firstly, an unmanned system autonomously decides whether to switch and send a switching request according to service requirements, self capacity and environment sensing conditions, a measurement and control center designates a switchable measurement and control node and an access mode for the unmanned system according to different access resource conditions and unmanned system state conditions, the unmanned system initiates network switching at a terminal side after receiving a switching network response of the measurement and control center, and returns switching results (success or failure and failure reasons) to the measurement and control center, and if the measurement and control center detects a large number of switching failures, the measurement and control center supplements the measurement and control node according to requirements.
As shown in fig. 4, the switching network generation strategy of the measurement and control center is as follows:
(1) firstly, screening a connectable access network according to the natural environment where an unmanned terminal initiates a switching application, and then screening a corresponding network meeting the service requirement capability from the connectable access network according to the service requirement (the service requirement comprises communication speed, communication distance, communication response time and the like) of the unmanned terminal.
(2) And judging the I type network and the II type network according to the communication distance, wherein when the communication distance required by the unmanned system is within the communication distance range of the regional access network, the regional access measurement and control network is the I type network, the minimum measurement and control network is the II type network, otherwise, the minimum measurement and control network is the I type network, and the regional access measurement and control network eliminates the optional network due to the fact that the communication distance is too small.
(3) Calculating network capability functions of the networks according to comprehensive factors such as network anti-interference capability, anti-destruction capability, communication rate, measurement accuracy and the like:
f n ＝ω 1 ln(B n )+ω 2 R n +ω 3 F n +ω 4 ln(T n )+ω 5 ln(1/M n )
wherein B is n >1 is a bandwidth factor for evaluating the bandwidth of the network signal; r is R n The anti-interference capability of the network is realized; f (F) n Is the network survivability; t (T) n >1 is a duration factor for evaluating a duration estimated time of a current task carried by a network; m is M n >0 is a network measurement precision factor for evaluating the measurement capability of the network to an unmanned target, and the measurement precision factor M of the low-precision measurement network n >1, measurement precision factor M of high-precision measurement network n <1, a step of; the weighting value is determined according to the environmental perception result, and omega is determined when the interference is detected 2 The value is correspondingly increased, ω when the system is detected as undergoing physical destruction 3 The value is correspondingly increased and satisfies omega 1 +ω 2 +ω 3 +ω 4 +ω 5 =1. And respectively sorting the class I network and the class II network according to the network capacity function value, wherein the larger the network capacity function value is, the higher the sorting is.
(4) And marking the ordered network as I-i, i=1, 2, …, N, II-j, j=1, 2, … and M, wherein N and M are the number of the access measurement and control networks of the communicable area and the number of the lowest communicable measurement and control networks respectively.
(5) When the target network is issued for the first time, the network I-1 is selected as the target network, the I-1 idle measurement and control node is searched, and then the necessary information such as the network type, the link communication medium, the target measurement and control node IP and the like of the target network I-1 is issued to the unmanned terminal. If the target network is not issued for the first time, namely the switching failure response of the unmanned terminal is received, the target network is selected to be the next priority network of the last switching target network, and then target network information is issued to the unmanned terminal.
When the network switching of the unmanned terminal is executed, if the network switching is the same measurement and control technology/measurement and control medium, the switching is directly executed, if the cross-medium access is needed, the transmission information of different medium terminals is converted into electric signals through a cross-medium relay node to realize the access from the terminal to the center, and meanwhile, the cross-medium relay node converts the received electric signals into corresponding medium signals (optical signals, magnetic signals, acoustic signals and the like) to realize the communication from the center to the terminal.
Preferably, when the unmanned terminal performs network switching, the measurement and control node discovers that the number of relay node access terminals exceeds the number of serviceable terminals, starts searching for nearby idle relay nodes, and successfully transmits the searched idle relay node IP address to the unmanned terminal, and the unmanned terminal performs secondary network switching; and if the searching fails, the message is returned to the command center, and the command center schedules and adds the relay node.
The embodiment provides a multi-access fusion method for measuring and controlling a communication network, which utilizes interference sensing and natural environment sensing results to design the multi-access fusion method for measuring and controlling the communication network, can maximally utilize the anti-interference and anti-destruction characteristics of a heterogeneous network, realizes flexible conversion under general conditions, guarantees normal measurement and control and under severe conditions, and improves the reliability of the system. According to the application, the relay node is used for carrying out the mutual conversion of the multimedia signal and the electric signal, so that the effective execution of heterogeneous network switching is realized, and the multimedia access means is utilized to resist the complex natural environment and the complex interference environment under the condition that the original design of the unmanned system control center is not changed. The application ranks the priority of the access network by evaluating the anti-interference capability and the anti-destruction capability of the network aiming at the severe environment, and improves the reliability of the access network of the user terminal. The application designs a one-dimensional switching decision network capability function based on environment awareness, which is used as a decision condition of heterogeneous network switching, and evaluates the optimal switching target network by integrating interference intensity, natural environment, communication requirement, service type and the like, thereby improving the access quality of the measurement and control communication network.
For a clearer explanation of the present application, a specific example of a multi-access convergence method for observing and controlling a communication network is presented.
As shown in the following table, consider that there are a variety of heterogeneous networks in a measurement and control communication network: (1) the spread spectrum radio network (2) is an underwater acoustic network (3), a laser network (4), a short wave network (5), a long wave network (6) and a very low frequency network (7). Wherein (1) - (4) are regional access networks and (5) - (7) are minimum networks.
Example 1: considering the water area node, no interference exists during initial access, then the water area node enters a sudden strong interference environment, the interference intensity exceeds the bearable range of the regional access network, and the interference disappears after a period of time.
Step 1: and performing environment sensing, and starting initial access.
Step 2: the accessible network is screened for (2) (3) (5) (6) (7).
Step 3: assigning weights to network capability functions, ω due to the detection of no interference and no physical harm 1 ＝0.3,ω 2 ＝0,ω 3 ＝0,ω 4 ＝0.3,ω 5 ＝0.4。
Step 4: the network capability function of each network is calculated f2=3.2, f3=3, f5=f6=f7=1.9.
Step 5: and selecting a first priority spread spectrum underwater acoustic network for access, wherein the access is successful.
Step 6: and detecting the occurrence of strong interference, and initiating a network switching application.
Step 7: and the measurement and control center receives the network switching application of the node and starts to detect the available network.
Step 8: assigning weights to network capability functions, ω due to the detection of no interference and no physical harm 1 ＝0.2,ω 2 ＝0.5,ω 3 ＝0,ω 4 ＝0.2,ω 5 ＝0.1。
Step 9: calculating a network capability function of each network:
f2＝3.2，f3＝3，f5＝4.9，f6＝f7＝5.4。
step 10: and selecting the first priority network as a very low frequency network, and detecting an idle measurement and control node of the network. And transmitting the very low frequency network switching information.
Step 11: and after receiving the switching information, the node initiates network switching, and the switching is successful.
Step 12: and performing natural environment sensing and interference sensing, sensing that the interference disappears, and initiating a network switching application.
Step 13: and the measurement and control center receives the network switching application of the node and starts to detect the available network.
Step 14: assigning weights to network capability functions, ω due to the detection of no interference and no physical harm 1 ＝0.3,ω 2 ＝0,ω 3 ＝0,ω 4 ＝0.3,ω 5 ＝0.4。
Step 15: the network capability function of each network is calculated f2=3.2, f3=3, f5=f6=f7=1.9.
Step 16: and selecting the first priority spread spectrum underwater acoustic network to transmit the switching network information.
Step 17: and after receiving the switching information, the node initiates network switching, and the switching is successful.
Example 2: considering ground nodes, the ground nodes enter the underground building from the open field, and return to the open field after a period of time, but the nodes in the field are more, and the network is congested.
Step 1: and performing environment sensing, and starting initial access.
Step 2: the accessible network is screened (1) (4) (5) (6).
Step 3: assigning weights to network capability functions, ω due to the detection of no interference and no physical harm 1 ＝0.3,ω 2 ＝0,ω 3 ＝0,ω 4 ＝0.3,ω 5 ＝0.4。
Step 4: the network capability function of each network is calculated f1=3.9, f4=3, f5=f6=1.9.
Step 5: and selecting a first priority spread spectrum radio network for access, wherein the access is successful.
Step 6: and detecting that the underground building is entered, changing the environment, and initiating a network switching application.
Step 7: and the measurement and control center receives the network switching application of the node and starts to detect the available network (5) (6).
Step 8: weighting network capability functionsRow assignment, ω, due to detection of no interference and no physical injury 1 ＝0.3,ω 2 ＝0,ω 3 ＝0,ω 4 ＝0.3,ω 5 ＝0.4。
Step 9: the network capability function of each network is calculated f5=4.9, f6=5.4.
Step 10: and selecting the first priority network as a very low frequency network, and detecting an idle measurement and control node of the network. And transmitting the very low frequency network switching information.
Step 11: and after receiving the switching information, the node initiates network switching, and the switching is successful.
Step 12: and performing natural environment sensing and interference sensing, changing the environment, and initiating a network switching application.
Step 13: assigning weights to network capability functions, ω due to the detection of no interference and no physical harm 1 ＝0.3,ω 2 ＝0,ω 3 ＝0,ω 4 ＝0.3,ω 5 ＝0.4。
Step 14: the network capability function of each network is calculated f1=3.9, f4=3, f5=f6=1.9.
Step 15: and selecting the first priority spread spectrum radio network to transmit the switching network information.
Step 16: and the terminal performs network switching according to the received network information.
Step 17: and the measurement and control node receives the switching task of the terminal, but the number of access nodes exceeds the limit at the moment, searching the idle relay nodes in the nearby area, and recording the IP addresses of the idle relay nodes successfully.
Step 18: and the measurement and control pole issues an IP address of the idle relay node.
Step 19: and the terminal performs secondary network switching according to the received IP address, and the switching is successful.
The foregoing description is only of the preferred embodiments of the application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalent structure or equivalent flow scheme disclosed in the specification and drawings, or any other related art, directly or indirectly, as desired.
Claims (7)
1. A multiple access convergence method for a measurement and control communication network, the method comprising the steps of:
s1: when a network access request is received, an unmanned terminal acquires a first network priority ranking table of a communicable access network of a current environment, wherein the current environment comprises a natural environment and an interference environment, and the interference environment comprises an information transmission rate and a working distance required by a measurement and control network, an anti-interference capability required by the measurement and control network, an anti-destruction capability required by the measurement and control network and a measurement precision required by the measurement and control network;
the step S1 specifically includes:
s11: when a network access request is received, the unmanned terminal acquires a connectable access network of the current environment; wherein the communicable access network comprises a class I network and a class II network;
s12: recording the number N of the I-type networks and the number M of the II-type networks, judging whether the connectable access network has the II-type networks or not, if yes, executing the step S13, and if not, executing the step S14;
s13: calculating the network capacity value of each class II network and the network capacity value of each class I network, and sorting according to the network capacity values to construct a first network priority sorting table;
s14: calculating the network capacity value of each class I network, and sorting according to the network capacity values to construct a first network priority sorting table;
the expression of the network capability value is:
f n ＝ω 1 ln(B n )+ω 2 R n +ω 3 F n +ω 4 ln(T n )+ω 5 ln(1/M n )
wherein B is n >1 is a bandwidth factor for evaluating the bandwidth of the network signal; r is R n The anti-interference capability of the network is realized; f (F) n Is the network survivability; t (T) n >1 is a duration factor for evaluating a duration estimated time of a current task carried by a network; m is M n >0 is a network measurement precision factor for evaluating network to unmannedMeasurement capability of target, measurement precision factor M of low-precision measurement network n >1, measurement precision factor M of high-precision measurement network n <1；ω 1 +ω 2 +ω 3 +ω 4 +ω 5 =1, automatically adjusting according to the environmental perception result;
s2: according to the first network priority ranking table, selecting an access network with a first priority to access, and realizing information transmission between the measurement and control center and the unmanned terminal;
s3: when the current environment is detected to meet the network switching condition, the unmanned terminal sends a network switching request to the measurement and control center, wherein the current environment meets the network switching condition and comprises a natural environment and/or an interference environment, so that the first network priority ranking table is changed;
s4: the measurement and control center acquires a second network priority ranking table of the communicable access network of the current environment;
the step S4 specifically includes:
s41: when a network switching request of the unmanned terminal is received, the measurement and control center acquires a connectable access network of the unmanned terminal in the current environment; wherein the communicable access network comprises a class I network and a class II network;
s42: recording the number N of the I-type networks and the number M of the II-type networks, judging whether the connectable access network has the II-type networks or not, if yes, executing the step S43, and if not, executing the step S44;
s43: calculating the network capacity value of each class II network and the network capacity value of each class I network, and sorting according to the network capacity values to construct a second network priority sorting table;
s44: calculating the network capacity value of each class I network, and sorting according to the network capacity values to construct a second network priority sorting table;
s5: detecting idle target measurement and control nodes in the access network of the first priority according to the second network priority ranking table, and sending access information of the target measurement and control nodes to the unmanned terminal;
s6: and the unmanned terminal accesses the target measurement and control node according to the access information, so that information transmission between the measurement and control center and the unmanned terminal is realized.
2. The multi-access convergence method for observing and controlling a communication network as set forth in claim 1, wherein the current environment satisfies a network handover condition, specifically comprising: the unmanned terminal executes task changes, the capability of the unmanned terminal changes and the environment where the unmanned terminal is located changes.
3. The multi-access convergence method for a measurement and control communication network of claim 1, wherein the class i network is a regional access measurement and control network comprising a spread spectrum radio measurement and control network, an underwater acoustic measurement and control network, and a laser measurement and control network; the class II network is a minimum measurement and control network, and the minimum measurement and control network comprises a long-wave measurement and control network and a very low frequency measurement and control network.
4. The multi-access convergence method for observing and controlling a communication network as claimed in claim 1, wherein the first network priority ranking table or the second network priority ranking table specifically comprises:
if the connectable access network has a class II network, the first network priority ranking table or the second network priority ranking table corresponding to the class I network and the class II network is: i-i, II-j; wherein i=1, 2, …, N; j=1, 2, …, M;
if the connectable access network does not have the class II network, the first network priority ranking table or the second network priority ranking table corresponding to the class I network is: i-i; i=1, 2, …, N;
and N and M are the number of the access measurement and control networks of the communicable area and the number of the communicable minimum measurement and control networks respectively.
5. The multi-access fusion method for measurement and control communication network according to claim 1, wherein when the unmanned terminal and the measurement and control center realize information transmission, the information to be transmitted is transmitted to the relay node, and the received electric signal is converted into a corresponding medium signal by the relay node and is transmitted to the measurement and control center.
6. The multiple access convergence method for a measurement and control communication network of claim 1, wherein the access information comprises a network type, a link communication medium and a target measurement and control node IP.
7. A multiple access convergence system for a measurement and control communication network, wherein the system comprises an unmanned terminal and a measurement and control center, which perform the multiple access convergence method for a measurement and control communication network according to any one of claims 1-6.
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