CN111988796B - Dual-mode communication-based system and method for optimizing platform information acquisition service bandwidth - Google Patents
Dual-mode communication-based system and method for optimizing platform information acquisition service bandwidth Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0231—Traffic management, e.g. flow control or congestion control based on communication conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
- H04W28/20—Negotiating bandwidth
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/02—Terminal devices
- H04W88/06—Terminal devices adapted for operation in multiple networks or having at least two operational modes, e.g. multi-mode terminals
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a system and a method for optimizing a district information acquisition service bandwidth based on dual-mode communication, wherein the system comprises the following steps: the intelligent ammeter and the first communication node thereof are configured, the concentrator and the second communication node thereof are configured, and the master station system are configured, wherein the first communication node comprises a relay ammeter communication node and a terminal ammeter communication node, and the second communication node comprises a concentrator communication node; the terminal ammeter communication node uploads data to the relay ammeter communication node, the relay ammeter communication node forwards the data to the concentrator communication node, and the concentrator communication node caches the data and sends the data to a master station system to support analysis and application of massive electricity consumption data at regular time. The invention also provides a method for optimizing the area information acquisition service bandwidth based on dual-mode communication, which takes the time delay and the packet loss rate Qos index into consideration to construct a cost function, aims at minimizing the comprehensive cost, optimizes the area communication link quality and realizes the optimization of the area service bandwidth.
Description
Technical Field
The invention relates to a system and a method for optimizing a district information acquisition service bandwidth based on dual-mode communication, and belongs to the technical field of power distribution network communication and intelligent power grids.
Background
The intelligent power grid is a development direction of a future power grid, and reliable, safe, economical, efficient and environment-friendly operation of the power grid is realized on the basis of advanced sensing technology, two-way communication technology, control technology, data mining technology and intelligent decision technology. The intelligent power grid and the internet of things technology are developed, the national network company proposes the concept of ubiquitous power internet of things in 2019, and aims to provide better power management and service for users by combining a sensing terminal, a communication technology, an intelligent algorithm and the like, so that higher requirements are provided for the communication capacity of a low-voltage area.
The existing communication foundation of the transformer area, particularly the local communication, has great limitation in supporting the application of the transformer area service, and the communication bandwidth, the speed, the time delay and the reliability are difficult to meet the requirements of real-time transmission and interaction of mass data of the power distribution transformer area. The dual-mode technology ensures communication coverage, communication efficiency and communication reliability to the greatest extent, and can realize the access function of the ubiquitous power Internet of things.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, optimize the service distribution problem of the existing platform region information acquisition network and provide a platform region information acquisition service bandwidth optimization system and method based on dual-mode communication.
In order to solve the technical problems, the present invention provides a system for optimizing a bandwidth of a platform information acquisition service based on dual-mode communication, which is characterized by comprising: the intelligent ammeter and the first communication node thereof are configured, the concentrator and the second communication node thereof are configured, and the master station system are configured, wherein the first communication node comprises a relay ammeter communication node and a terminal ammeter communication node, and the second communication node comprises a concentrator communication node; the terminal ammeter communication node uploads data to the relay ammeter communication node, the relay ammeter communication node forwards the data to the concentrator communication node, and the concentrator communication node caches the data and sends the data to a master station system to support analysis and application of massive electricity consumption data at regular time.
The invention also provides a method for optimizing the area information acquisition service bandwidth based on dual-mode communication, which is characterized by comprising the following steps:
step SS1: selecting a terminal ammeter communication node m, a relay ammeter communication node h and a concentrator communication node n;
step SS2: constructing three dual-mode tree networks based on the terminal ammeter communication node m, the relay ammeter communication node h and the concentrator communication node n obtained in the step SS 1;
step SS3: synthesizing time delay and packet loss rate Qos indexes in the network signal transmission path process of the three dual-mode tree network, and performing algorithm optimization on data transmission quality;
step SS4: and taking the Qos time delay index as an evaluation target, and adopting a load balancing method to verify and evaluate the performance of the algorithm on the service bandwidth optimization strategy.
As a preferred embodiment, the step SS1 specifically includes: the overall dual-mode communication network of the station area adopts a dual-mode tree network topology mode, and the terminal ammeter communication node m and the concentrator communication node n are determined through the dual-mode tree network; and selecting a relay ammeter communication node h by adopting an adaptive intelligent relay scheme.
As a preferred embodiment, the dual-mode tree network in step SS2 adopts a combination of power line carrier and micro-power wireless, and specifically includes an upper layer network and a lower layer network, where the lower layer network is: a network constructed between the terminal ammeter communication node and the relay ammeter communication node; the upper network is: a network constructed between the concentrator communication node and the relay ammeter communication node, and a network constructed between the relay ammeter communication node and the relay ammeter communication node.
As a preferred embodiment, the step SS3 specifically includes:
step SS31: calculating the number Z of three types of nodes in the step SS1 and the total number N of the nodes passing through the link S ；
Step SS32: computing an overall network delay T comprising three types of links s Whole network packet loss rate P comprising three types of links s ；
Step SS33: calculating the information transmission cost omega of the overall link S s ；
Step SS34: and calculating a comprehensive cost function f (T, P) of the platform region information acquisition type service taking the network delay and the packet loss rate of the link into consideration by taking the minimum comprehensive cost of the cost function as a target, and realizing the optimization of the platform region service bandwidth.
As a preferred embodiment, the step SS31 specifically includes:
the terminal ammeter communication node m and the relay ammeter communication node h pass through a link S1, the relay ammeter communication node h and the concentrator communication node n pass through a link S2, the relay ammeter communication node h and the relay ammeter communication node h pass through a link S3, and three paths are represented as follows:
N S ＝N s1 +N s2 +N s3 (2)
in the above formula, i is the link type, i=1, 2,3; n (N) S For the total number of network links of the area, it is equal to N s1 、N s2 、N s3 The sum of the number of these three types of links; s is denoted as the link set of the overall network.
As a preferred embodiment, the step SS32 specifically includes:
overall network latency T comprising three types of links s The influence degree of different links on the whole network needs to be considered, the delays of all links cannot be simply added, the average flow is taken as a weight to obtain a weighted sum of the delays of all links, the weighted sum is taken as the delay of the whole network, and a calculation formula is expressed as follows:
where j is a certain link, j=1, 2,.. S ；C j For the capacity of the link, sigma C is satisfied j Constraint of C, C is total capacity of the district information collection service; lambda (lambda) j The average arrival rate of the service, namely the service flow, is acquired for the information of the platform area; 1/mu is the average length of the packet; mu is a known constant, lambda j The information quantity and route matrix of the platform region information collection business are calculatedTo, and thus link capacity C j Is the only factor affecting the delay of a link, and is usually obtained by combining Lagrangian function and dichotomy calculation, and further obtains the delay of each link; s is denoted as link s1, link s2 or link s3;
integrated network packet loss rate P comprising three types of links s Mainly consider the packet loss situation of relay node forwarding, and use P S The overall packet loss rate of the network is represented, and the calculation formula is as follows:
wherein P is s The method comprises the steps that the overall network packet loss rate of each type of link is calculated according to the maximum cache packet quantity of the edge Internet of things related to the platform region information acquisition type service queuing theory model and the service efficiency parameter of the edge Internet of things related to the edge Internet of things; pi (1-P) s ) The conditional probability of each item of the packet loss rate is different, and the conditional probability is along with P s The value changes and changes.
As a preferred embodiment, the step SS33 specifically includes:
the comprehensive transmission cost of the information acquisition service of the station area simultaneously considers the delay T s And packet loss rate P s I.e. the cost of the chain path s is defined by T s And P s Together, the information transmission cost omega of the overall link S is decided s Can be expressed as:
ω s ＝f(T s ,P s ) (5)
wherein omega is s Omega for the overall link cost j The information transmission cost of the jth link is the sum of the cost of each link in the link; f (T) s ,P s ) As a cost function, the overall link cost omega s Is determined by both link delay and packet loss rate.
As a preferred embodiment, the step SS34 specifically includes:
the comprehensive cost function of the platform area information acquisition service considering the link delay and the packet loss rate is expressed as follows:
f(T,P)＝T-kIn(1-P) (7)
wherein T is a delay parameter; k represents the proportion of the packet loss rate in the comprehensive cost and is called a packet loss rate influence factor; p is a packet loss rate parameter, the cost function simultaneously comprises a delay parameter and a packet loss rate parameter, and the function contains a logarithmic form, so that the dimension of the comprehensive cost and the function thereof is 1; and optimizing the communication quality of the cell link by taking the minimum comprehensive cost of the cell information communication service packet loss rate and the delay as a target, thereby optimizing the cell service bandwidth.
As a preferred embodiment, the step SS4 specifically includes:
in order to evaluate the performance of the optimization algorithm, the Qos delay index is taken as an evaluation target, the traffic bandwidth optimization strategy is verified by adopting the idea of load balancing, wherein the load balancing is to distribute traffic by utilizing available resources of each network, and the number of packets which can be accommodated by an interface queue of a MAC layer of a certain communication node is expressed as:
O z ＝q z /O max (8)
wherein Z is a certain communication node of the area, Z is the total number of communication nodes of the area, and is the sum of the number of three nodes of an end ammeter communication node m, a concentrator communication node n and a relay ammeter communication node h; q z The number of packets buffered for the MAC layer interface queue of communication node z; o (O) max For the maximum number of packets that node z's MAC layer interface queue can accommodate, O z The larger the value of (c) indicates the greater the current load of the node, the greater the probability of congestion of the node.
The invention has the beneficial effects that: the invention provides a platform area information acquisition service bandwidth optimization system based on dual-mode communication, which comprises an intelligent ammeter provided with a dual-mode module and a communication node thereof, a concentrator provided with the dual-mode module and a communication node thereof, and a master station, wherein the communication node is respectively of three types, namely a concentrator node, a relay node and an end node, wherein the intelligent ammeter provided with the dual-mode module can be used as the end node or as the relay node, the data of the end node is uploaded to the relay node, the relay node forwards the data to the concentrator node, the concentrator node caches the data and periodically uploads the data to the master station system to support analysis and application of massive electricity consumption data, and the whole platform area service is improved; secondly, the invention provides a method for optimizing the service bandwidth of the information acquisition of the platform region based on dual-mode communication, which takes the time delay and the Qos index of the packet loss ratio into consideration to construct a cost function, aims at minimizing the comprehensive cost, optimizes the communication link quality of the platform region and realizes the optimization of the service bandwidth of the platform region; thirdly, the optimization algorithm of the invention can improve the transmission quality of the information acquisition service of the area, thereby realizing the optimization of the service bandwidth of the area, effectively regulating and controlling the optimization algorithm and the evaluation scheme thereof, realizing the effective regulation and control of the bandwidth data transmission in the communication channel in the big data communication environment, and meeting the bandwidth optimization for mass data communication.
Drawings
Fig. 1 is a topological connection diagram of a system for optimizing a bandwidth of a platform information acquisition service based on dual-mode communication.
Fig. 2 is a flowchart of a method for optimizing a bandwidth of a platform information collection service based on dual mode communication according to the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Example 1: as shown in fig. 1, the present invention provides a system for optimizing a bandwidth of a platform information collection service based on dual-mode communication, which is characterized by comprising: the intelligent ammeter and the first communication node thereof are configured, the concentrator and the second communication node thereof are configured, and the master station system are configured, wherein the first communication node comprises a relay ammeter communication node and a terminal ammeter communication node, and the second communication node comprises a concentrator communication node; the terminal ammeter communication node uploads data to the relay ammeter communication node, the relay ammeter communication node forwards the data to the concentrator communication node, the concentrator communication node caches the data and sends the data to a master station system at regular time to support analysis and application of massive electricity consumption data, and the service of the whole station area is improved.
The terminal ammeter communication node data transmits the data to the relay ammeter communication node through a signal data quality optimization mechanism comprehensively considering channel quality, distance between nodes and the like.
Example 2: the invention also provides a method for optimizing the area information acquisition service bandwidth based on dual-mode communication, which is characterized by comprising the following steps:
step SS1: selecting a terminal ammeter communication node m, a relay ammeter communication node h and a concentrator communication node n;
step SS2: constructing three dual-mode tree networks based on the terminal ammeter communication node m, the relay ammeter communication node h and the concentrator communication node n obtained in the step SS 1;
step SS3: synthesizing time delay and packet loss rate Qos indexes in the network signal transmission path process of the three dual-mode tree network, and performing algorithm optimization on data transmission quality;
step SS4: and taking the Qos time delay index as an evaluation target, and adopting a load balancing method to verify and evaluate the performance of the algorithm on the service bandwidth optimization strategy.
Optionally, the step SS1 specifically includes: the overall dual-mode communication network of the station area adopts a dual-mode tree network topology mode, and the terminal ammeter communication node m and the concentrator communication node n are determined through the dual-mode tree network; and selecting a relay ammeter communication node h by adopting a self-adaptive intelligent relay scheme, wherein each ammeter has a relay function, and each ammeter stores a node number which can be directly communicated with the relay function, namely a routing information table. In the signal transmission process, the ammeter dynamically selects relay nodes and relay nodes of signals according to a routing information table, relay addresses, distance and signal quality selection principles to carry out relay transmission of the signals.
Optionally, the dual-mode tree network in step SS2 adopts a combination of a power line carrier and micro-power wireless, and specifically includes an upper network layer and a lower network layer, where the lower network layer is: a network constructed between the terminal ammeter communication node and the relay ammeter communication node; the upper network is: a network constructed between the concentrator communication node and the relay ammeter communication node, and a network constructed between the relay ammeter communication node and the relay ammeter communication node.
Optionally, the step SS3 specifically includes:
step SS31: calculating the number Z of three types of nodes in the step SS1 and the total number N of the nodes passing through the link S ；
Step SS32: computing an overall network delay T comprising three types of links s Whole network packet loss rate P comprising three types of links s ；
Step SS33: calculating the information transmission cost omega of the overall link S s ；
Step SS34: and calculating a comprehensive cost function f (T, P) of the platform region information acquisition type service taking the network delay and the packet loss rate of the link into consideration by taking the minimum comprehensive cost of the cost function as a target, and realizing the optimization of the platform region service bandwidth.
Optionally, the step SS31 specifically includes:
the terminal ammeter communication node m and the relay ammeter communication node h pass through a link S1, the relay ammeter communication node h and the concentrator communication node n pass through a link S2, the relay ammeter communication node h and the relay ammeter communication node h pass through a link S3, and three paths are represented as follows:
in the above formula, i is the link type, i=1, 2,3; n (N) S For the total number of network links of the area, it is equal to N s1 、N s2 、N s3 The sum of the number of these three types of links; s is denoted as the link set of the overall network.
Optionally, the step SS32 specifically includes:
overall network latency T comprising three types of links s The influence degree of different links on the whole network needs to be considered, the delays of all links cannot be simply added, the average flow is taken as a weight to obtain a weighted sum of the delays of all links, the weighted sum is taken as the delay of the whole network, and a calculation formula is expressed as follows:
where j is a certain link, j=1, 2,.. S ；C j For the capacity of the link, sigma C is satisfied j Constraint of C, C is total capacity of the district information collection service; lambda (lambda) j The average arrival rate of the service, namely the service flow, is acquired for the information of the platform area; 1/mu is the average length of the packet; mu is a known constant, lambda j The information quantity and the route matrix of the platform region information collection service are calculated, so that the link capacity C j Is the only factor affecting the delay of a link, and is usually obtained by combining Lagrangian function and dichotomy calculation, and further obtains the delay of each link; s is denoted as link s1, link s2 or link s3;
integrated network packet loss rate P comprising three types of links s Mainly consider the packet loss situation of relay node forwarding, and use P S The overall packet loss rate of the network is represented, and the calculation formula is as follows:
wherein P is s The method comprises the steps that the overall network packet loss rate of each type of link is calculated according to the maximum cache packet quantity of the edge Internet of things related to the platform region information acquisition type service queuing theory model and the service efficiency parameter of the edge Internet of things related to the edge Internet of things; pi (1-P) s ) The conditional probability of each item of the packet loss rate is different, and the conditional probability is along with P s The value changes and changes.
Optionally, the step SS33 specifically includes:
the comprehensive transmission cost of the information acquisition service of the station area simultaneously considers the delay T s And packet loss rate P s I.e. the cost of the chain path s is defined by T s And P s Together, the information transmission cost omega of the overall link S is decided s Can be expressed as:
ω s ＝f(T s ,P s ) (5)
wherein omega is s Omega for the overall link cost j The information transmission cost of the jth link is the sum of the cost of each link in the link; f (T) s ,P s ) As a cost function, the overall link cost omega s Is determined by both link delay and packet loss rate.
Optionally, the step SS34 specifically includes:
the comprehensive cost function of the platform area information acquisition service considering the link delay and the packet loss rate is expressed as follows:
f(T,P)＝T-kIn(1-P) (7)
wherein T is a delay parameter; k represents the proportion of the packet loss rate in the comprehensive cost and is called a packet loss rate influence factor; p is a packet loss rate parameter, the cost function simultaneously comprises a delay parameter and a packet loss rate parameter, and the function contains a logarithmic form, so that the dimension of the comprehensive cost and the function thereof is 1; and optimizing the communication quality of the cell link by taking the minimum comprehensive cost of the cell information communication service packet loss rate and the delay as a target, thereby optimizing the cell service bandwidth.
Optionally, the step SS4 specifically includes:
in order to evaluate the performance of the optimization algorithm, the Qos delay index is taken as an evaluation target, the traffic bandwidth optimization strategy is verified by adopting the idea of load balancing, wherein the load balancing is to distribute traffic by utilizing available resources of each network, and the number of packets which can be accommodated by an interface queue of a MAC layer of a certain communication node is expressed as:
O z ＝q z /O max (8)
wherein Z is a certain communication node of the area, Z is the total number of communication nodes of the area, and is the sum of the number of three nodes of an end ammeter communication node m, a concentrator communication node n and a relay ammeter communication node h; q z The number of packets buffered for the MAC layer interface queue of communication node z; o (O) max For the maximum number of packets that node z's MAC layer interface queue can accommodate, O z The larger the value of (c) indicates the greater the current load of the node, the greater the probability of congestion of the node.
The optimization algorithm and the evaluation scheme thereof realize effective regulation and control of bandwidth data transmission in a communication channel under a big data communication environment, and meet bandwidth optimization for mass data communication.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.
Claims (8)
1. The method for optimizing the area information acquisition service bandwidth based on the dual-mode communication is characterized by comprising the following steps:
step SS1: selecting a terminal ammeter communication node m, a relay ammeter communication node h and a concentrator communication node n;
step SS2: constructing three dual-mode tree networks based on the terminal ammeter communication node m, the relay ammeter communication node h and the concentrator communication node n obtained in the step SS 1;
step SS3: synthesizing time delay and packet loss rate Qos indexes in the network signal transmission path process of the three dual-mode tree network, and performing algorithm optimization on data transmission quality; the method specifically comprises the following steps:
step SS31: calculating the number Z of three types of nodes in the step SS1 and the total number N of the nodes passing through the link S ；
Step SS32: computing an overall network delay T comprising three types of links s Whole network packet loss rate P comprising three types of links s The method comprises the steps of carrying out a first treatment on the surface of the The method specifically comprises the following steps:
overall network latency T comprising three types of links s The influence degree of different links on the whole network needs to be considered, the delays of all links cannot be simply added, the average flow is taken as a weight to obtain a weighted sum of the delays of all links, the weighted sum is taken as the delay of the whole network, and a calculation formula is expressed as follows:
where j is a certain link, j=1, 2,.. S ；C j For the capacity of the link, sigma C is satisfied j Constraint of C, C is total capacity of the district information collection service; lambda (lambda) j The average arrival rate of the service, namely the service flow, is acquired for the information of the platform area; 1/mu is the average length of the packet; mu is a known constant, lambda j The information quantity and the route matrix of the platform region information collection service are calculated, so that the link capacity C j Is the only factor affecting the delay of a link, and is usually obtained by combining Lagrangian function and dichotomy calculation, and further obtains the delay of each link; s is denoted as a link set of the overall network, s= (S1, S2, S3); s is denoted as link s1, link s2 or link s3;
integrated network packet loss rate P comprising three types of links s Mainly consider the packet loss situation of relay node forwarding, and use P S The overall packet loss rate of the network is represented, and the calculation formula is as follows:
wherein P is s The method comprises the steps that the overall network packet loss rate of each type of link is calculated according to the maximum cache packet quantity of the edge Internet of things related to the platform region information acquisition type service queuing theory model and the service efficiency parameter of the edge Internet of things related to the edge Internet of things; pi-shaped structure(1-P s ) The conditional probability of each item of the packet loss rate is different, and the conditional probability is along with P s The value is changed;
step SS33: calculating the information transmission cost omega of the overall link S s ；
Step SS34: calculating a comprehensive cost function f (T, P) of the platform region information acquisition type service taking the network delay and the packet loss rate of a link into consideration by taking the minimum comprehensive cost of the cost function as a target, and realizing the optimization of the bandwidth of the platform region service; t is a delay parameter, and P is a packet loss rate parameter;
step SS4: and taking the Qos time delay index as an evaluation target, and adopting a load balancing method to verify and evaluate the performance of the algorithm on the service bandwidth optimization strategy.
2. The method for optimizing the bandwidth of a station information acquisition service based on dual-mode communication according to claim 1, wherein the step SS1 specifically includes: the overall dual-mode communication network of the station area adopts a dual-mode tree network topology mode, and the terminal ammeter communication node m and the concentrator communication node n are determined through the dual-mode tree network; and selecting a relay ammeter communication node h by adopting an adaptive intelligent relay scheme.
3. The method for optimizing the bandwidth of the station information acquisition service based on the dual-mode communication according to claim 1, wherein the dual-mode tree network in the step SS2 adopts the fusion of a power line carrier and a micro-power wireless, and specifically comprises an upper network layer and a lower network layer, wherein the lower network layer is as follows: a network constructed between the terminal ammeter communication node and the relay ammeter communication node; the upper network is: a network constructed between the concentrator communication node and the relay ammeter communication node, and a network constructed between the relay ammeter communication node and the relay ammeter communication node.
4. The method for optimizing the bandwidth of a dual-mode communication-based station information acquisition service according to claim 1, wherein the step SS31 specifically includes:
the terminal ammeter communication node m and the relay ammeter communication node h pass through a link S1, the relay ammeter communication node h and the concentrator communication node n pass through a link S2, the relay ammeter communication node h and the relay ammeter communication node h pass through a link S3, and three paths are represented as follows:
N S ＝N s1 +N s2 +N s3 (2)
in the above formula, i is the link type, i=1, 2,3; n (N) S For the total number of network links of the area, it is equal to N s1 、N s2 、N s3 The sum of the number of these three types of links.
5. The method for optimizing the bandwidth of the station information collection service based on the dual-mode communication according to claim 1, wherein the step SS33 specifically includes:
the comprehensive transmission cost of the information acquisition service of the station area simultaneously considers the delay T s And packet loss rate P s I.e. the cost of the chain path s is defined by T s And P s Together, the information transmission cost omega of the overall link S is decided s Can be expressed as:
ω s ＝f(T s ,P s ) (5)
wherein omega is s Omega for the overall link cost j The information transmission cost of the jth link is the sum of the cost of each link in the link; f (T) s ,P s ) As a cost function, the overall link cost omega s Is determined by both link delay and packet loss rate.
6. The method for optimizing the bandwidth of a dual-mode communication-based station information acquisition service according to claim 1, wherein the step SS34 specifically includes:
the comprehensive cost function of the platform area information acquisition service considering the link delay and the packet loss rate is expressed as follows:
f(T,P)＝T-kIn(1-P) (7)
in the formula, k represents the proportion of the packet loss rate in the comprehensive cost, namely a comprehensive cost function of the packet loss rate influence factor platform region information acquisition service comprises a delay parameter and a packet loss rate parameter, and the function contains a logarithmic form, so that the dimension of the comprehensive cost and the function thereof is 1; and optimizing the communication quality of the cell link by taking the minimum comprehensive cost of the cell information communication service packet loss rate and the delay as a target, thereby optimizing the cell service bandwidth.
7. The method for optimizing the bandwidth of the station information collection service based on the dual-mode communication according to claim 1, wherein the step SS4 specifically comprises:
in order to evaluate the performance of the optimization algorithm, the Qos delay index is taken as an evaluation target, the traffic bandwidth optimization strategy is verified by adopting the idea of load balancing, wherein the load balancing is to distribute traffic by utilizing available resources of each network, and the number of packets which can be accommodated by an interface queue of a MAC layer of a certain communication node is expressed as:
O z ＝q z /O max (8)
wherein Z is a certain communication node of the area, Z is the total number of communication nodes of the area, and is the sum of the number of three nodes of an end ammeter communication node m, a concentrator communication node n and a relay ammeter communication node h; q z The number of packets buffered for the MAC layer interface queue of communication node z; o (O) max For the maximum number of packets that node z's MAC layer interface queue can accommodate, O z The larger the value of (c) indicates the greater the current load of the node, the greater the probability of congestion of the node.
8. The application system of the method for optimizing a bandwidth of a platform information collection service based on dual mode communication according to any one of claims 1 to 7, comprising: the intelligent ammeter and the first communication node thereof are configured, the concentrator and the second communication node thereof are configured, and the master station system are configured, wherein the first communication node comprises a relay ammeter communication node and a terminal ammeter communication node, and the second communication node comprises a concentrator communication node; the terminal ammeter communication node uploads data to the relay ammeter communication node, the relay ammeter communication node forwards the data to the concentrator communication node, and the concentrator communication node caches the data and sends the data to a master station system to support analysis and application of massive electricity consumption data at regular time.
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